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Results in Journal Informatika Pertanian: 136

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Abdullah Bin Arif, Kirana Sanggrami Sasmitaloka, Imia Ribka Banurea, Wahyu Diyono, Agus Budiyanto, Christina Winarti
Informatika Pertanian, Volume 30, pp 1-10; https://doi.org/10.21082/ip.v30n1.2021.p1-10

Abstract:
Sorgum merupakan salah satu komoditas serealia yang potensial untuk dikembangkan. Namun, biji sorgum mudah terserang kutu sehingga tidak dapat disimpan dalam waktu yang lama. Serangan kutu dapat menyebabkan kerusakan dan kehilangan hasil pada sorgum. Penelitian ini bertujuan untuk mendapatkan bahan-bahan ekstrak nabati dan kemasan plastik yang dapat mudah didapatkan oleh petani dengan harganya murah untuk memperpanjang penyimpanan biji sorgum sebelum disosoh. Penelitian menggunakan rancangan acak lengkap dalam pola faktorial, terdiri dari dua faktor, yaitu jenis kemasan plastik sebanyak (PE dan PP) dan jenis ekstrak nabati (tanpa perlakuan, bawang putih, cabai, cengkeh, kayu manis, ketumbar, kopi, lada, lengkuas, dan ragi tape). Setiap perlakuan diulang sebanyak 2 kali. Variabel pengamatan pada penelitian ini adalah jumlah kutu, susut bobot, densitas kamba, proksimat, kadar pati, kadar amilosa, dan kadar amilopektin. Hasil penelitian menunjukkan bahwa perlakuan penyimpanan biji sorgum yang belum disosoh dengan plastik PP dan ekstrak cengkeh dapat mencegah terjadinya serangan kutu/Sitophilus SP yang ditunjukkan dengan jumlah populasi kutu yang paling kecil, susut bobot yang terendah, susut karbohidrat terendah, dan kadar air yang terkecil.
Nita Kartina, Yuni Widyastuti
Informatika Pertanian, Volume 30, pp 11-20; https://doi.org/10.21082/ip.v30n1.2021.p11-20

Abstract:
In the early plant breeding experiments usually are not possible to use an appropriate experimental design. The number of large genetic materials and seeds is limited so environmental heterogeneity cannot be controlled. The augmented design could be used to do this approach. The research aims were to study the use of augmented design and evaluate the yield and its yield component of hybrid rice genotypes and check varieties, in the early evaluation. The research was conducted in the second season of 2015 (October 2015 to March 2016) in Sukamandi Experimental Station of Indonesia Center for Rice Research (ICRR), Subang, West Java Province. The experiment used 455 hybrid rice genotypes and four checks varieties, namely Hipa 8, Hipa Jatim 2, Inpari 31, and Ciherang. Based on the statistic analysis, the yield of hybrid rice ranges from 9.09 t/ha (GMJ13/CRS1268) to 10.77 t/ha (GMJ13/CRS1284), with heterosis to yields of 5.83% to 44.95%. Some hybrid rice genotypes showed better agronomic traits than check varieties. The augmented design allows for the interpretation of statistically valid data. Character data obtained are corrected data (adjusted), which have been adjusted to check varieties.
, Muhammad Syafi'i, Budi Arif Dermawan
Informatika Pertanian, Volume 28, pp 103-110; https://doi.org/10.21082/ip.v28n2.2019.p109-116

Abstract:
Karawang merupakan salah satu daerah penghasil padi terbesar di provinsi Jawa Barat, maka tak salah Karawang dijuluki sebagai kota lumbung padi. Tetapi semakin kesini Karawang lebih dikenal dengan daerah industri. Ini berefek kepada hasil pertanian yang ada di Karawang. Data dari tahun 2010-2015 didapat hasil bahwa sebesar 67% produktivitas padi di Karawang berada dalam kategori rendah sisanya berada dalam kategori sedang dan tinggi, terlihat bahwa banyak lahan pertanian diKarawang yang sudah beralih fungsi yang dari awalnya persawahan menjadi penggunaan lahan lain. Hal ini harusnya dapat pendorong pemerintah Kabupaten Karawang untuk lebih perhatian terhadap masalah ini. Prediksi yang dilakukan dengan menggunakan teknik data mining dengan algoritma C4.5 telah dilakukan dengan akurasi sebesar 67,8%. Penelitian ini terlihat bahwa selain nilai produksi dan luas tanam untuk menentukan nilai produktivitas tanaman padi, ternyata produktivitas tanaman padi juga dipengaruhi oleh angka pengairan yang ada.
Yohanes Purnama
Informatika Pertanian, Volume 28, pp 93-102; https://doi.org/10.21082/ip.v28n2.2019.p99-108

Abstract:
One of the strategic policies for developing horticulture in Indonesia is the development of a horticulture management information system. The main concern of the policy is to obtain accurate data in a short period through improving methods of collecting and processing data, increasing data and information, and synchronizing horticultural statistics. The method used to collecting chili data was measuring production in each harvest. This was very draining time, energy and funds that are not small. In addition, another obstacle faced is the location of sample plots that are quite difficult to reach. Based on these conditions, there was a need to simplify the technique of data collection by reducing the frequency of harvest observations. The data used in this study were primary and simulation data. Primary data is the result of a survey of cayenne pepper production by the General Director of Horticulture on several sample plots in Magelang District, Central Java Province in 2018. Simulation data were obtained by generating productivity values based on parameters from primary data. The variable generated was the productivity of each farmer per harvest.. Estimation of productivity involves several factors such as sample sizes (15, 45 and 90), frequency of harvest observations (1, 2 or 3 times) and sampling methods (simple random sampling and stratified random sampling). Evaluation of the estimation results is measured by the variety and bias values. The results of the analysis show that the estimation of productivity using two points with stratified random sampling method and sample size of 90 farmers produce the smallest variety and bias. The best harvesting point were two points in the middle of the harvest.
Informatika Pertanian, Volume 28, pp 83-92; https://doi.org/10.21082/ip.v28n2.2019.p89-98

Abstract:
Teknologi saat ini bisa digunakan untuk pembelajaran dan pengetahuan mengenai berbagai jenis objek yang ada di dunia. Buah menjadi objek atau komoditi yang sangat penting karena meningkatkan stamina dan kekebalan daya tahan tubuh. Buah Indonesia sangat beragam. Banyak orang Indonesia sendiri tidak mengenal ragam jenis buah di Indonesia. Tulisan ini membahas mengenai pengenalan jenis buah yang akan memberikan informasi lengkap tentang buah Indonesia dengan menggunakan perangkat bergerak berbasis Android. Metode untuk pengembangan purwarupa ini menggunakan metode Waterfall umum. Metode ini terdiri dari tahap analisis, desain, pengembangan, implementasi dan evaluasi (ADDIE). Purwarupa ini menggunakan cloud recognition untuk menghubungkan gambar buah Indonesia yang diakuisisi oleh perangkat bergerak. Gambar buah ini akan ditemukenalikan ke server Vuforia yang menyimpan data gambar buah Indonesia dan deskripsinya. Kedua data ini ditampilkan dengan teknologi Augmented Reality melalui perangkat bergerak tersebut. Hasil penelitian purwarupa ini menunjukkan bahwa fungsionalitas dari aplikasi secara keseluruhan berjalan dengan baik. Perangkat ini berhasil diinstalasi dan dijalankan pada perangkat bergerak.
Informatika Pertanian, Volume 29, pp 73-82; https://doi.org/10.21082/ip.v29n2.2020.p73-82

Abstract:
Jika analisis sidik ragam menghasilkan interaksi yang berbeda nyata, sesuai dengan prinsip marginalitas maka efek utama seharusnya tidak diinterpretasikan dan tidak diuji. Penelitian ini bertujuan mengevaluasi bentuk interaksi (terurut atau tidak terurut), sehingga penyajian dan interpretasi faktor utama saat terjadi interaksi dapat dibuat dengan benar. Metode yang digunakan adalah metode visual dan matematis yang diterapkan pada data simulasi dan dua data riil. Berdasarkan evaluasi matematis dari data simulasi, faktor utama dapat diinterpretasi pada saat kedua faktor utama berbeda nyata dan hanya berlevel dua. Saat jumlah level meningkat, peluang untuk menginterpretasikan faktor utama menjadi berkurang (12% pada jumlah level tiga). Penyajian data dapat menggunakan tabel kombinasi perlakuan dan tabulasi silang. Tabel tabulasi silang memungkinkan perbandingan perlakuan antar baris/ kolom sehingga penggunaan kalimat “huruf kecil yang sama pada baris yang sama dan huruf kapital yang sama pada kolom yang sama tidak berbeda” harus dihindari saat interaksi tidak terurut. Hal ini dilakukan agar interpretasi, perbandingan antar perlakuan, dan tingkat a yang digunakan tidak menyesatkan.
Budi Harsanto
Informatika Pertanian, Volume 29, pp 111-122; https://doi.org/10.21082/ip.v29n2.2020.p111-122

Abstract:
Internet of Things (IoT) yang awalnya digagas untuk perbaikan proses bisnis pada industri manufaktur, saat ini sudah menjadi bagian dari berbagai sektor perekonomian, termasuk sektor primer seperti pertanian. Tujuan penelitian ini adalah untuk mengetahui inovasi berbasis IoT pada sektor pertanian dengan menganalisis metadata publikasi ilmiah yang relevan pada database akademik Scopus sehingga dapat memberikan gambaran bagi peneliti, praktisi, dan pengambil kebijakan tentang inovasi IoT yang telah diimplementasikan secara global. Pengembangan IoT pada sektor pertanian menjadi keniscayaan sejalan dengan meningkatnya kebutuhan akan pangan dan keinginan untuk mengembangkan pertanian secara berkelanjutan. Penelitian diawali dengan penelusuran publikasi ilmiah secara terstruktur dan dianalisis secara kuantitatif menggunakan pendekatan scientometrics. Hasil analisis menunjukkan publikasi ilmiah terbanyak dengan topik IoT pada sektor pertanian berasal dari India, China, dan Amerika Serikat. Analisis terhadap kata kunci menunjukkan adanya lima klaster kata kunci yang terbentuk. Konsep yang mengemuka pada setiap klaster meliputi internet of things, smart agriculture, cloud computing, dan soil moisture (klaster 1); automation, RFID, agricultural products (klaster 2), agriculture, sensors, wireless sensor networks (klaster 3), sensor nodes (klaster 4); dan crops, cultivation, precision agriculture (klaster 5).
Agus Supriatna Somantri, Prima Luna, Idha Widi Arsanti, Budi Waryanto
Informatika Pertanian, Volume 29, pp 95-110; https://doi.org/10.21082/ip.v29n2.2020.p95-110

Abstract:
Upaya Khusus (UPSUS) Padi merupakan kebijakan Kementerian Pertanian dalam upaya mencapai swasembada beras yang diimplementasikan sejak tahun 2015. Apakah kegiatan ini berhasil dan tepat? Analisis sitem dinamik digunakan sebagai alat evaluasi kegiatan UPSUS Padi dengan pendekatan system thinking. Penelitian ini bertujuan untuk mengevaluasi kebijakan UPSUS Padi sejak tahun 2015-2018 menggunakan sistem dinamik. Metodologi penelitian dibangun dengan membuat Causal Loop Diagram (CLD) utama sistem swasembada beras, subsistem yang mendukung swasembada beras, sistem permintaan, dan sistem pencapaian target swasembada beras. Model dinamik tersebut divalidasi, disimulasi, dan direformulasi. Hasil simulasi menunjukkan sistem dinamik dapat dijadikan alat evaluasi kebijakan program UPSUS Padi dengan hasil validasi model bernilai MAPE < 5%, sehingga dapat menggambarkan kondisi sesungguhnya. Hasil simulasi model menunjukkan UPSUS Padi sukses meningkatkan produksi. Bilamana dalam lima tahun target peningkatan indeks pertanaman (IP) dan produktivitas tercapai, maka pada tahun 2022 akan terjadi puncak surplus beras sebesar 25 juta ton. Setelah itu produksi padi akan terus menurun jika hingga akhir tahun 2024 konversi lahan sawah tidak dibendung. Penerapan kebijakan UPSUS Padi perlu didukung oleh kebijakan penerapan mekanisasi untuk pra dan pascapanen, penyuluhan, revitalisasi penggilingan, diversifikasi pangan, dan penekanan konversi lahan. Hasil simulasi dengan memasukkan semua variabel tersebut menunjukkan Indonesia dalam lima tahun ke depan akan surplus 35 juta ton beras sehingga swasembada terus berlanjut.
Nurdin Nurdin, Fazar Fahrozi, Mutammimul Ula
Informatika Pertanian, Volume 29, pp 83-94; https://doi.org/10.21082/ip.v29n2.2020.p83-94

Abstract:
Lahan atau tanah merupakan sumber daya fundamental yang dimiliki manusia. Dengan adanya lahan, manusia dapat menghasilkan bahan pangan, sandang, papan, tambang, dan tempat dilaksanakannya berbagai aktivitas. Di satu sisi, kebutuhan lahan untuk pertanian terus meningkat. Di sisi lain, lahan subur makin terbatas karena digunakan untuk berbagai keperluan selain pertanian. Selain itu, petani umumnya kesulitan menentukan jenis tanaman yang tepat diusahakan pada tanah yang dimiliki. Penelitian ini bertujuan untuk menentukan jenis tanah yang sesuai bagi tanaman pangan menggunakan metode Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) dan metode Simple Additive Weighting (SAW). Kriteria dan perhitungan bobot untuk metode SMARTER dan SAW adalah kesuburan tanah (W1), unsur hara tanah (W2), kelembaban tanah (W3), tekstur tanah (W4), ketebalan gambut tanah (W5), reaksi (pH) tanah (W6), dan drainase tanah (W7). Hasil penelitian penerapan metode SMARTER dan SAW menghasilkan preferensi dengan nilai tertinggi 0,824286 pada jenis tanah Andosol untuk tanaman padi.
Afrilia Tri Widyawati, Muhammad Amin
Informatika Pertanian, Volume 29, pp 63-72; https://doi.org/10.21082/ip.v29n2.2020.p63-72

Abstract:
FAKTOR – FAKFAKTOR – FAKTOR YANG MEMPENGARUHI KONSUMSI SAYURAN RUMAH TANGGA PADA KAWASAN RUMAH PANGAN LESTARI DI KOTA SAMARINDA DAN BONTANGTOR YANG MEMPENGARUHI KONSUMSI SAYURAN RUMAH TANGGA PADA KAWASAN RUMAH PANGAN LESTARI DI KOTA SAMARINDA DAN BONTANG Backyard has a potential to feed the family as vegetables cropland or fruit crops. Sustainable Food Reserved Garden Program (SFRG) was designed to increase the potential of backyard to provide sustainable cheap food. This study aimed to analyze the factors affecting household’s vegetables consumption in the area of SFRG program. The research was conducted in Samarinda and Bontang City in 2018, involving 60 respondents who have implemented the program. Respondents were divided into three strata according yard size, which are stratum 1 (narrow), stratum 2 (medium) and stratum 3 (extensive). Data was collected through interviews using a structured questionnaire and focus group discussions with managers of the program. Afterwards, the data were analyzed descriptively. The result showed that the variations of plants types tend to be uniform among the three strata such as eggplant, peppers, tomatoes, cabbage, kale, leeks and spinach. In terms of the arrangement, narrow stratum was dominated by “vertikultur”, medium stratum by polybag and extensive stratum by seedbeds. Key words: SFRG, vegetables consumption, backyard, vegetables production ABSTRAK Optimalisasi pemanfaatan lahan pekarangan penting untuk memenuhi kebutuhan pangan dan sayuran bagi keluarga. Melalui program Kawasan Rumah Pangan Lestari (KRPL) diharapkan dapat menyediakan pangan murah yang berkelanjutan. Penelitian bertujuan menganalisis faktor-faktor yang mempengaruhi konsumsi sayuran rumah tangga di Kawasan Rumah Pangan Lestari. Penelitian dilaksanakan di Kota Samarinda dan Bontang tahun 2018 melibatkan 60 responden pelaksana program KRPL. Responden dibedakan ke dalam tiga strata berdasarkan luas pekarangan, yaitu strata 1 (sempit), strata 2 (sedang) dan strata 3 (luas). Pengumpulan data dilakukan dengan wawancara menggunakan kuesioner terstruktur dan Focus Group Discussion melibatkan pengelola program KRPL. Data dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa variasi jenis tanaman cenderung seragam antar strata, dengan tanaman dominan terong, cabai, tomat, sawi, kangkung, bawang daun dan bayam. Penataan tanaman pada strata satu dominan vertikultur, strata dua menggunakan polibag dan strata tiga dengan bedengan. Kata kunci: KRPL, konsumsi sayuran, pekarangan, produksi sayuran.
Ariza Ikhlas, Abdullah Abdullah, Dwi Yuli Prasetyo
Informatika Pertanian, Volume 29, pp 123-130; https://doi.org/10.21082/ip.v29n2.2020.p123-130

Abstract:
Setiap varietas padi memiliki karakter tertentu dengan anjuran tanam berbeda. Petani umumnya kesulitan memilih varietas padi yang cocok untuk ditanam di lahan mereka karena kurangnya kemampuan identifikasi. Algoritma klasifikasi merupakan solusi mengatasi masalah ini karena mampu mengidentifikasi varietas padi melalui citra digital. Tujuan penelitian ini adalah menerapkan dan mengevaluasi beberapa algoritma klasifikasi untuk mengidentifikasi varietas padi menggunakan fitur warna dan tekstur. Penelitian dilakukan di kabupaten Indagiri Hilir Riau pada tahun 2018. Mesin pembelajaran dibangun dengan cara menggabungkan beberapa algoritma klasifikasi (classifier), yaitu Support Vector Machine, k-Nearest Neighbors, Logistic Regression, dan Decision Tree. Varietas yang diteliti adalah IR42, Inpara-9. dan Batang Piaman. Berdasarkan tingkat ketelitian masing-masing algoritma, k-Nearest Neighbors memberikan hasil lebih baik dibanding algoritma lainnya, baik dengan maupun tanpa normalisasi data. Terdapat enam sampel Inpara-9 yang diprediksi benar (true positive) dan lima sampel diprediksi salah (false positive). Pada varietas Batang Piaman terdapat delapan sampel yang diprediksi benar (true positive). Pada IR42 terdapat lima sampel yang diprediksi benar.
Nyoman Ngurah Arya, I Ketut Mahaputra
Informatika Pertanian, Volume 29, pp 1-12; https://doi.org/10.21082/ip.v29n1.2020.p1-12

Abstract:
Efforts to promote integrated crop management of paddy have been carried out by farmer’s community in Bali through ICM-FFS in 2010 - 2013. This study aims to analyze the factors that influence the adoption of ICM technology of lowland paddy in Bali. The study was conducted in July - October 2017 in Tabanan, Gianyar, and Buleleng Regencies by a survey method. The number of respondents were 120 farmers. Data was analyzed by the Structural Equation Model-Partial Least Square (SEM-PLS). The results showed: (1) ) the characteristics of farmers, availability of labor, the presence of input shop, the characteristics of innovation / technology, the role of subak, the role of Government institutions, and the price of grain received by farmers are the factors that determine the adoption of the ICM technology of lowland paddy in Bali; (2) Structural Equation Model-Partial Least Square (SEM-PLS) is relevant and can be used to analyze the factors that determine the adoption of paddy ICM technology. The SEM-PLS method can be used an alternative method for analyzing the factors that influence the adoption of an innovation / technology in agriculture
Kartika Mayasari, Pudji Muljono, Anna Fatchiya
Informatika Pertanian, Volume 29, pp 33-42; https://doi.org/10.21082/ip.v29n1.2020.p33-42

Abstract:
Dalam memenuhi tuntutan masyarakat terhadap kebutuhan informasi, Pusat Perpustakaan dan Penyebaran Teknologi Pertanian [PUSTAKA] mengembangkan aplikasi yang bernama iTani. Aplikasi iTani merupakan perpustakaan digital yang dilengkapi dengan berbagai fitur untuk memuat informasi pertanian yang diterbitkan oleh Kementerian Pertanian agar lebih cepat diakses oleh siapapun dan kapanpun. Salah satu tolok ukur untuk mengetahui keberhasilan penerapan suatu sistem informasi adalah dengan mengukur kepuasan pengguna, sehingga penting menganalisis dimensi apa sajakah yang membentuk variabel kepuasan. Oleh sebab itu, tujuan dalam penelitian ini adalah menganalisis dimensi yang paling dominan serta indikator yang signifikan dalam menyusun variabel kepuasan pengguna aplikasi iTani dengan menggunakan pendekatan Second Order Confirmation Factor Analysis (CFA). Pengambilan sampel dilakukan dengan metode stratified random sampling dengan jumlah sampel sebanyak 390 responden. Hasil uji kelayakan model berdasarkan kriteria Goodness of Fit diperoleh model fit dengan total 12 indikator yang signifikan dalam menyusun variabel kepuasan pengguna aplikasi iTani. Adapun indikator tersebut meliputi: penyajian informasi secara jelas (KI4), keragaman informasi yang disajikan di aplikasi iTani (KI5), informasi yang disajikan mengandung novelty (kebaruan) (KI9), kesesuaian informasi (KI14), kemudahan penggunaan aplikasi (KS1), kemudahan penelusuran informasi (KS5), firut dapat berfungsi dengan baik (KS6), keberhasilan pengunduhan ebook (KS7), keamanan data pribadi (KL1), kecepatan dalam pelayanan (KL2), kemudahan memberikan feedback (KL3), kemudahan dalam berkomunikasi dengan pengelola (KL4). Model pengukuran variabel kepuasan adalah kepuasan dibentuk oleh variabel laten Kualitas Sistem sebesar 0,892, variabel laten Kualitas Layanan sebesar 0.827 dan variabel laten Kualitas Informasi sebesar 0,825. Berdasarkan ketiga variabel laten tersebut, Kualitas Sistem yang paling dominan membentuk kepuasan pengguna aplikasi iTani.
Abdul Aziz, Pudji Muljono, Irsal Las, Retno Sri Hartati Mulyandari
Informatika Pertanian, Volume 29, pp 43-54; https://doi.org/10.21082/ip.v29n1.2020.p43-54

Abstract:
Pemerintah melalui Badan Penelitian dan Pengembangan Pertanian (Balitbangtan), Kementerian Pertanian, telah menghasilkan inovasi berbasis teknologi informasi (TI) yang dapat menentukan waktu tanam, pola tanam, varietas, dan rekomendasi pemupukan yang tepat. Inovasi tersebut dipopulernakan dengan nama Sistem Informasi Kalender Tanam Terpadu (SI Katam Terpadu). SI Katam Terpadu telah disebarluaskan kepada para stakeholder dan pengguna akhir. Evaluasi terhadap sosialisasi dan adopsi SI Katam Terpadu sudah sering dilakukan oleh beberapa unit kerja penelitian di jajaran Balitbangtan. Namun implementasi dan umpan balik yang diharapkan dari petani belum masif. Oleh karena itu perlu dilakukan kajian dan analisis faktor yang mempengaruhi tingkat adopsi SI Katam Terpadu oleh petani. Kajian dilakukan dengan pendekatan kualitatif, dengan mengamati 11 artikel atau berita tentang SI Katam Terpadu dari website dan internet secara acak. Kesebelas artikel tersebut diolah dan dianalisis menggunakan aplikasi Nvivo 11. Hasil kajian menunjukkan terdapat faktor yang berpengaruh tinggi terhadap adopsi SI Katam Terpadu, yaitu diseminasi oleh PPL, kemudahan akses dan impelementasi, dan keunggulan SI Katam Terpadu itu sendiri. Faktor yang berpengaruh sedang yaitu akurasi data SI KatamTerpadu. Sementara faktor yang berpengaruh rendah yaitu dukungan lingkungan, SI Katam Terpadu sebagai media informasi bagi petani, kesesuaian informasi, dukungan pemerintah, peningkatan produksi, ikon SI KatamTerpadu, dan ketersediaan logistik.
Shoffin Nahwa Utama, Haris Setyaningrum
Informatika Pertanian, Volume 29, pp 55-62; https://doi.org/10.21082/ip.v29n1.2020.p55-62

Abstract:
Pengendalian hama wereng menggunakan berbasis teknologi ramah lingkungan merupakan hal sangat berperan penting dalam menjaga melestarian dan menyelamatkan ekosistem dari bahaya cemaran bahan kimia yang meracuni tanaman dan makhluk hidup lainnya. Salah satu teknologi yang mampu dapat mempengaruhi perilaku hama wereng adalah gelombang ultrasonik. HC-SR04 merupakan perangkat yang menghasilkan gelombang ultrasonik dengan frekuensi 40 kKHhz. Penelitian pengendalian hawa hama wereng menggunakan teknologi gelombang ultrasonik masih terbatas. Penelitian ini lanjutan dari penelitian sebelumnya yang bertujuan untuk memperbaiki desain dan areal jangkauan gelombang ultrasonik menggunaan HC-SR04 dengan frekuensi 40 kKHz. Uji coba desain siystem yang telah dilakukan diperoleh hasilmenunjukkan semua fungsionalitias siystem bekerja dengan baik , Adan areal yang dapat dijangkau outwere seluasmencakup radius 6.000 cm2(meter persegi). Hasil uji pHama wengaruh gelombang ultrasonikc terhadap wereng cokelat yang didapatkan bahwa pada menit awal terkena gelombang ultrasonikultrasonik pada menit awalc, wereng bergerak aktif seperti terusik dan menjauh dari pusat gelombang., setelah Setelah 15 menit kemudian, wereng menjadi pasif dan tidak bergerak.
Yennita Sihombing Hombing, Lintje Hutahaean
Informatika Pertanian, Volume 28, pp 1-10; https://doi.org/10.21082/ip.v28n1.2019.p1-10

Abstract:
In Order to apply the agriculture technology or innovation, the farmers requires assistance by researches or extension agent to provide the expected results. The application of agricultural technology or innovation in farmers requires assistance by researchers or extension workers to provide the expected results. This study has an objective to determine the effectiveness among three correlation models, namely: Pearson, Kendall’s tau-b, and Spearman for analyzing the performance of assisting activities. The assessment was done based on the assisting data which collected in North of Bolaang Mongondow District, North Sulawesi Province. As the respondents, the primary data were obtained by questionnaires to 22 of the rice farmers who were randomly selected by PRA. The assisting data focused on the rice production aspect for both of pre-assisting and post-assisting cases. The effectiveness indicator among those correlation models has defined using the number of real analysis variables and the correlation coefficients. According to three models, they produced almost similar coefficient correlation for both of pre-assisting and post-assisting cases. Based on three models, a significant correlation variable which found was a correlation between the age and the experiences. For those significant variable, the differences among those models only appears in the degree of correlation. As a conclusion, the Pearson, Kendall’s tau b, and Spearman correlation models can be used as an alternative methods for analyzing the performance of assisting activities.
Dwi - Amiarsi, Abdullah Bin Arif, Kirana Sanggrami Sasmitaloka
Informatika Pertanian, Volume 28, pp 73-82; https://doi.org/10.21082/ip.v28n2.2019.p73-82

Abstract:
Pengembangan buah di Indonesia termasuk yang di prioritaskan, namun kesegaran buah tidak dapat bertahan lama. Untuk pengendalian penyakit perlu diberi perlakuan dengan konsentrasi oksigen dan karbondioksida dalam kemasan. Penelitian ini bertujuan untuk mendapatkan konsentrasi gas O2 dan CO2 dengan suhu penyimpanan yang tepat dalam pengemasan buah mangga Gedong agar dapat mengendalikan penyakit, mempertahankan mutu dan memperpanjang daya simpan. Penelitian ini menggunakan rancangan acak lengkap pola faktorial dengan tiga faktor percobaan meliputi (1) kombinasi konsentrasi gas O2 dan CO2 sebanyak 5 taraf, yaitu (a) 5,0% O2 + 5,0-5,8% CO2, (b) 2,5% O2 + 5,0-5,8% CO2, (c) 1,0% O2 + 5,0-5,8% CO2, (d) udara normal (21,0% O2 + 0,03% CO2), (e) udara terbuka/sebagai control; (2) suhu penyimpanan 2 taraf, yaitu suhu penyimpanan 15oC dan suhu ruang 27-30oC; serta (3) inokulasi patogen Colletotrichum gloeosporioides PENZ, yaitu inokulasi Colletotrichum gloeosporioides PENZ dan tanpa inokulasi Colletotrichum gloeosporioides PENZ. Analisis yang dilakukan adalah tingkat kerusakan, kadar air, pH, vitamin C, total padatan terlarut, dan produksi CO2. Penerapan teknik hasil penelitian ini dapat menguntungkan pengguna karena waktu untuk distribusi dapat diperpanjang. Perlakuan kontrol atmosfer dengan modifikasi kadar oksigen 1,0% dan kadar karbondioksida 5,0-5,8% dapat menekan total padatan terlarut dan kadar air serta tingkat kerusakan yang disebabkan oleh antraknosa sehingga buah mangga gedong dapat disimpan hingga 21-28 hari (3-4 minggu)
Kristina Dwiatmini, Andari Risliawati, Dodin Koswanudin, Sutoro Sutoro
Informatika Pertanian, Volume 28, pp 67-72; https://doi.org/10.21082/ip.v28n2.2019.p67-72

Abstract:
Biji sorgum dimanfaatkan sebagai sumber pangan, pakan dan bahan industri. Batang tanaman sorgum umumnya mengandung senyawa gula, sehingga dapat dimanfaatkan sebagai minuman sirup dan bahan baku bioethanol. Untuk mengetahui kandungan senyawa gula pada batang tanaman sorgum dapat dilakukan dengan mengukur kadar brix dengan alat refraktometer. Untuk menghasilkan varietas sorgum yang dapat menghasilkan brix tinggi diperlukan sumber genetik untuk pemuliaan tanaman sorgum. Penelitian telah dilaksanakan terhadap 219 aksesi plasma nutfah sorgum koleksi Bank Gen Balitbangtan di BB Biogen. Bahan batang tanaman diperoleh dari pertanaman sorgum yang ditanam pada tahun 2017. Sampel batang tanaman sorgum dipotong menjadi 3 bagian yang sama panjangnya dan diukur kandungan brix dengan refraktometer. Hasil penelitian menunjukkan aksesi plasma nutfah sorgum dari batang bagian bawah, tengah dan atas memiliki kandungan brix bervariasi yaitu berkisar antara 0.2 – 15.1 %. Aksesi sorgum introduksi ICSV 93051, ICSV 93032, ICSV 93047, ICSR 91026, ICSV 8906, dan ICSV 93007 memiliki kandungan brix lebih dari 14% yang dapat dipergunakan sebagai bahan pemuliaan sorgum manis. Genotipe yang memiliki sifat ganda yang mampu menghasilkan hasil biji dan kandungan brix baik pada tanaman induk maupun ratun perlu mendapat perhatian. Abstract Sorghum seeds are used as a source for food, feed, and industrial materials. Stems of sorghum plants generally contain sugar compounds, so it can be used as a beverage of syrup and raw materials of bioethanol. The content of sugar compounds on the stem of the sorghum plant could be done by measuring brix by using refractometer. Genetic resources are needed to develop sorghum varieties that can produce high brix content in its plant breeding program. A study has been conducted on 219 germplasm accessions of IAARD Gene Bank collection at BB BIOGEN. The plant stem material is derived from the planting of sorghum grown in 2017. The stem of the sorghum plant is cut into 3 equal lengths and brix content measured by refractometer. The results showed that the accession of the sorghum germplasm from the lower, middle, and upper stems reveal that brix content varied from 0.2 to 15.1%. Introduction accession of sorghum i.e. ICSV 93051, ICSV 93032, ICSV 93047, ICSR 91026, ICSV 8906, and ICSV 93007 had a brix content of more than 14% and can be used as parent materials for sweet sorghum breeding. Multiple traits of genotipe which are capable producing seed yield and brix content in both primary plants and ratoon need further attention.
Yohanes Purnama
Informatika Pertanian, Volume 28, pp 93-102; https://doi.org/10.21082/ip.v28n2.2019.p93-102

Abstract:
One of the strategic policies for developing horticulture in Indonesia is the development of a horticulture management information system. The main concern of the policy is to obtain accurate data in a short period through improving methods of collecting and processing data, increasing data and information, and synchronizing horticultural statistics. The method used to collecting chili data was measuring production in each harvest. This was very draining time, energy and funds that are not small. In addition, another obstacle faced is the location of sample plots that are quite difficult to reach. Based on these conditions, there was a need to simplify the technique of data collection by reducing the frequency of harvest observations. The data used in this study were primary and simulation data. Primary data is the result of a survey of cayenne pepper production by the General Director of Horticulture on several sample plots in Magelang District, Central Java Province in 2018. Simulation data were obtained by generating productivity values based on parameters from primary data. The variable generated was the productivity of each farmer per harvest.. Estimation of productivity involves several factors such as sample sizes (15, 45 and 90), frequency of harvest observations (1, 2 or 3 times) and sampling methods (simple random sampling and stratified random sampling). Evaluation of the estimation results is measured by the variety and bias values. The results of the analysis show that the estimation of productivity using two points with stratified random sampling method and sample size of 90 farmers produce the smallest variety and bias. The best harvesting point were two points in the middle of the harvest.
Evi Gusmayanti
Informatika Pertanian, Volume 28, pp 83-88; https://doi.org/10.21082/ip.v28n2.2019.p83-88

Abstract:
Pengukuran emisi gas rumah kaca, salah satunya gas CO2, dari lahan gambut yang ditanami kelapa sawit menjadi penting sebagai salah satu upaya untuk memonitor dan mengevaluasi kegiatan mitigasi emisi. Namun keterbatasan peralatan pengukuran dan keahlian mendorong perlunya persamaan yang dapat menduga emisi CO2 secara sederhana menggunakan variabel penduga yang dapat dengan mudah diukur dan diperoleh. Tulisan ini menyajikan beberapa alternatif model pendugaan emisi CO2 menggunakan variabel penduga berupa suhu udara, suhu tanah, dan muka air tanah. Model dibangun menggunakan data emisi CO2 yang diukur dengan metode sungkup tertutup menggunakan alat EGM 4, alat portabel untuk mengukur konsentrasi gas CO2. Lokasi pengukuran emisi berada pada dua perkebunan kelapa sawit milik swasta di Kec. Kubu Kab. Kubu Raya, Kalimantan Barat dan dilaksanakan selama delapan bulan, dari September 2016 sampai April 2017. Model regresi yang dihasilkan adalah model regresi linier sederhana dengan satu variable bebas, salah satu dari suhu udara, suhu tanah, dan muka air tanah. Hasil pengujian model regresi dengan data pengukuran CO2 yang dilakukan di lokasi yang sama pada bulan Oktober- November 2017 menujukkan model yang cukup baik dalam menduga emisi CO2 adalah E = 0.007* MAT, E adalah emisi CO2 (gCO2 m-2 jam-1) dan MAT adalah muka air tanah (cm). Model ini sebaiknya digunakan pada kondisi muka air tanah melebihi 50 cm.
Informatika Pertanian, Volume 28, pp 83-92; https://doi.org/10.21082/ip.v28n2.2019.p83-92

Abstract:
Teknologi saat ini bisa digunakan untuk pembelajaran dan pengetahuan mengenai berbagai jenis objek yang ada di dunia. Buah menjadi objek atau komoditi yang sangat penting karena meningkatkan stamina dan kekebalan daya tahan tubuh. Buah Indonesia sangat beragam. Banyak orang Indonesia sendiri tidak mengenal ragam jenis buah di Indonesia. Tulisan ini membahas mengenai pengenalan jenis buah yang akan memberikan informasi lengkap tentang buah Indonesia dengan menggunakan perangkat bergerak berbasis Android. Metode untuk pengembangan purwarupa ini menggunakan metode Waterfall umum. Metode ini terdiri dari tahap analisis, desain, pengembangan, implementasi dan evaluasi (ADDIE). Purwarupa ini menggunakan cloud recognition untuk menghubungkan gambar buah Indonesia yang diakuisisi oleh perangkat bergerak. Gambar buah ini akan ditemukenalikan ke server Vuforia yang menyimpan data gambar buah Indonesia dan deskripsinya. Kedua data ini ditampilkan dengan teknologi Augmented Reality melalui perangkat bergerak tersebut. Hasil penelitian purwarupa ini menunjukkan bahwa fungsionalitas dari aplikasi secara keseluruhan berjalan dengan baik. Perangkat ini berhasil diinstalasi dan dijalankan pada perangkat bergerak.
, Muhammad Syafi'i, Budi Arif Dermawan
Informatika Pertanian, Volume 28, pp 103-110; https://doi.org/10.21082/ip.v28n2.2019.p103-110

Abstract:
Karawang merupakan salah satu daerah penghasil padi terbesar di provinsi Jawa Barat, maka tak salah Karawang dijuluki sebagai kota lumbung padi. Tetapi semakin kesini Karawang lebih dikenal dengan daerah industri. Ini berefek kepada hasil pertanian yang ada di Karawang. Data dari tahun 2010-2015 didapat hasil bahwa sebesar 67% produktivitas padi di Karawang berada dalam kategori rendah sisanya berada dalam kategori sedang dan tinggi, terlihat bahwa banyak lahan pertanian diKarawang yang sudah beralih fungsi yang dari awalnya persawahan menjadi penggunaan lahan lain. Hal ini harusnya dapat pendorong pemerintah Kabupaten Karawang untuk lebih perhatian terhadap masalah ini. Prediksi yang dilakukan dengan menggunakan teknik data mining dengan algoritma C4.5 telah dilakukan dengan akurasi sebesar 67,8%. Penelitian ini terlihat bahwa selain nilai produksi dan luas tanam untuk menentukan nilai produktivitas tanaman padi, ternyata produktivitas tanaman padi juga dipengaruhi oleh angka pengairan yang ada.
, Hendro Nugroho
Informatika Pertanian, Volume 28, pp 43-48; https://doi.org/10.21082/ip.v28n1.2019.p43-48

Abstract:
Semangka (Citrullus Lanatus Tunb) merupakan tanaman buah yang banyak disukai di Indonesia. Kematangan semangka bisa dibedakan berdasarkan tekstur kulit semangka. Adanya kemiripan tekstur kulit semangka mengakibatkan orang kesulitan dalam mengidentifikasi tingkat kematangan semangka yang matang dan belum matang. Berdasarkan permasalahan tersebut, maka penelitian ini dilakukan untuk proses klasifikasi berdasarkan tekstur kulit buah semangka. Ekstraksi ciri statistik orde pertama digunakan sebagai metode untuk mengenali kematangan semangka dari segi tekstur kulit buah dalam proses klasifikasi. Parameter yang digunakan yaitu mean, varians, skewness dan kurtosis. Berdasarkan nilai ekstraksi ciri statistik tersebut, kemudian dijadikan acuan proses klasifikasi menggunakan metode k-nearest neighbor dan naïve bayes. Data dalam penelitian ini sejumlah 100 citra, dimana 70 untuk data training dan 30 untuk data testing. Dari hasil pengujian klasifikasi kematangan semangka menggunakan K-Nearest Neighbor diperoleh 26 data sesuai dengan tingkat akurasi 86.66%, sendangkan menggunakan Naïve Bayes diperoleh 27 data sesuai dengan tingkat akurasi 90%.Kata-Kata Kunci: semangka, ciri statistik orde pertama, K-Nearest Neighbor, Naïve Bayes.
Puspitasari Puspitasari, Dian Kurniasih,
Informatika Pertanian, Volume 28, pp 21-30; https://doi.org/10.21082/ip.v28n1.2019.p21-30

Abstract:
Analisis mengenai volatilitas harga sangat diperlukan terutama untuk menentukan kebijakan mengenai harga di masa yang akan datang. salah satu alat analisis yang biasa digunakan untuk menganalisis sifat volatilitas harga adalah ARCH/GARCH. Penelitian ini bertujuan untuk menganasis sifat volatilitas harga bawang merah nasional menggunakan ARCH/GARCH. Data yang digunakan dalam penelitian ini adalah data sekunder yaitu harga rata-rata harian bawang merah nasional dalam kurun waktu 2011-2015. Analisis volatilitas harga bawang merah dalam penelitian ini dilakukan dengan bantuan software Eviews 6. Hasil penelitian menunjukan bahwa karakteristik volatilitas harga bawang merah dalam kurun waktu 2011-2015 berdasarkan model ARCH/GARCH dikategorikan rendah sehingga pergerakan harga dapat diprediksi dan diantisipasi sebagai early warning system akan terjadinya lonjakan atau penurunan harga. Selain itu dapat diestimasi bahwa volatilitas harga bawang di masa datang akan semakin kecil dengan perubahan harga harian bawang merah terjadi rata-rata setiap enam hari. Oleh karena hal tersebut disarankan bagi pengambil kebijakan untuk mengatur distribusi ketika harga mulai bergejolak untuk menghindari kenaikan harga yang lebih tinggi atau jatuh.
Femmi Norfahmi
Informatika Pertanian, Volume 28, pp 31-42; https://doi.org/10.21082/ip.v28n1.2019.p31-42

Abstract:
Abstrak Permasalahan paling krusial yang membutuhkan perhatian serius pada subsektor perkebunan adalah rendahnya produktivitas dan kualitas komoditas yang dihasilkan oleh petani. Produktivitas rata-ratakakao Sulawesi Tengah turun dari 908 kilogram per hektar ditahun 2014 menjadi 893 kilogram per hektar ditahun 2016 (Ditjenbun, 2016). Penyebab penurunan produksididuga karenaumur tanaman yang telah tua dan serangan hama dan penyakit tanaman. Program peremajaan tanaman kakao sudah dilaksanakan dibeberapa sentra kakao namun belum sepenuhnya mengembalikan produktivitas kakao Sulawesi Tengah. Kondisi pertanaman kakao saat ini serta kelayakan finansial usahatani kakao perlu diketahui untuk menentukan kebijakan produksi kakao kedepannya. Penelitian ini bertujuan untuk mengetahui kondisi pertanaman kakao saat ini, mengetahui kelayakan finansial usaha tani kakao, serta umur optimum recoverypertanaman kakao di Sulawesi Tengah. Metode penelitian yang digunakan adalah survai pada usahatani kakao di lima kabupaten di Sulawesi Tengah yaitu Kabupaten Sigi, Donggala, Parigi Moutong, Poso, serta Banggai. Data kemudian dianalisis secara deskriptif dan ekonomi menggunakan NPV, IRR,RC Ratio, dan Payback Period. Hasil survai menunjukkan bahwa terjadi kerusakan tanaman kakao hampir merata di Sulawesi Tengah (76.81-92.58 persen), persentase kerusakan berturut-turut terjadi di Kabupaten Sigi, Banggai, Parigi, Donggala, dan Poso. Rata-rata umur peremajaan di Sulawesi Tengah adalah18tahun. Secara ekonomi, usahatani kakao Sulawesi Tengah memiliki NPV yang positif untuk semua kabupaten. Berdasarkan nilai IRR maka usahatani kakao layak di semua kabupaten pada tingkat suku bunga 5.5%,dengan nilai IRR tertinggi terdapat pada Kab. Parimo sedangkan yang terendah pada Kab. Banggai. ABSTRACT The most crucial problem that requires serious attention to the plantation subsector is the low productivity and quality of commodities produced by farmers. Productivity of cocoa in Central Sulawesi has decreased from 908 kilograms per hectare in 2014 to 893 klograms per hectare in 2016 (Ditjenbun, 2016). The age of plants that are old and pest plant diseases attachment were assumed as the reasons.The cocoa plant renewal program has been implemented in several cocoa centers but has not fully restored the productivity of Central Sulawesi cocoa.Financial feasibility of cocoa farming was needed to be known in order to determine the policy of rejuvenating cocoa farmers to increase cocoa productivity. This study aims to determine the condition of cocoa farming these days,to know the financial feasibility and optimum recovery ageof cocoa faming in Central Sulawesi. Data was taken by survey and analyzed descriptrively and economically using NPV, IRR, RC Ratio, and Payback Period. The result shows that percentage of damage of cocoa plants was almost distributed through Central Sulawesi (76.81-92.58). The most successive damaged occurred in Sigi, Banggai, Parigi Moutong, Donggala, and Poso districts. The optimum recovery age is 18 years. Central Sulawesi cocoa farming has positive NPV for all district based on IRR Based on IRR, all districts are feasible at an interest of 5.5% whichhighest IRR value found in Parigi Moutong and lowest in Banggai.Keywords: Feasibility analysis, cocoa farming, recovery
Nining Nurini Andayani
Informatika Pertanian, Volume 28, pp 11-20; https://doi.org/10.21082/ip.v28n1.2019.p11-20

Abstract:
Pengembangan jagung sebagai tanaman sela dibawah tanaman tegakan merupakan salah satu alternative untuk mengatasi berkurangnya lahan jagung. Maslah yang dihadapi jagung sebagai tanaman sela adalah berkurangnya intensitas cahaya akibat naungan, sehingga perlu untuk merakita jagung toleran naungan. Perhitungan kriteria toleran sangat berguna untuk menyeleksi suatu genotipe yang toleran pada kondisi cekaman naungan. Tujuan dari penelitian ini adalah mengetahui respon genotipe jagung terhadap naungan berdasarkan tujuh indikator cekaman yaitu produktivitas rata-rata (MP), produktivitas rata-rata geometrik (GMP), toleransi (Tol), indeks kepekaan cekaman (SSI), indeks toleransi cekaman (STI), indeks stabilitas hasil (ISH) dan indeks harmonik (IH). Percobaan dilakukan dengan menggunakan rancangan acak kelompok dua lingkungan dengan tiga ulangan. Lingkungan pertama sebagai kontrol yaitu tanpa ada perlakuan naungan (N0), sedangkan lingkungan kedua diberi perlakuan naungan menggunakan paranet 35% (N1). Hasil penelitian menunjukkan adanya dua genotipe jagung hibrida silang tiga jalur yang toleran naungan 35% dan produksi tinggi yaitu STJ02 dan STJ07. Karakter Yo dan Ys berkorelasi positif dan signifikan dengan MP, GMP dan STI, sehingga ketiga indeks ini dijadikan sebagai indeks toleransi terbaik untuk mengukur tingkat toleransi genotip jagung terhadap cekaman naungan paranet 35%. Analisis komponen utaman mengklasifikasikan genotip menjadi dua komponen utama, dengan eigen value >1 dan berkontribusi terhadap variabilitas antar genotip sebesar 99.77%. PC1 berkontribusi sebesar 61.73% dari karakter indeks TOL, SSI dan KH. Analisis klaster berdasarkan indeks toleransi membagi genotipe menjadi dua kelompok, menunjukkan variabilitas genetik yang cukup stabil sehingga bisa dijadikan dasar untuk memilih dan mengembangkan genotip jagung silang tiga jalur toleran cekaman naungan.
Sukmawati Nur Endah, Eko Adi Sarwoko, Priyo Sidik Sasongko, Sutikno Sutikno
Informatika Pertanian, Volume 28, pp 49-66; https://doi.org/10.21082/ip.v28n1.2019.p49-66

Abstract:
Meningkatnya jumlah penduduk di Indonesia berdampak pada kebutuhan pangan, salah satu sumber pangan selain padi adalah tanaman palawija. Tanaman palawija memiliki peranan dalam mewujudkan impian Indonesia menjadi Lumbung Pangan Dunia di tahun 2045. Namun, penyakit dan serangan hama dapat menurunkan kwalitas dan kwantitas hasil produk tanaman palawija. Maka, diperlukannya identifikasi dan penanganan terhadap penyakit hama pada tanaman palawija agar mutu dan kwalitas produk tetap terjaga dan hasil produk melimpah. Penelitian ini mengusulkan pengembangan sebuah aplikasi mobile mengenai deteksi penyakit dan hama palawija berdasarkan gejala yang timbul. Pengujian telah dilakukan baik pengujian fungsionalitas sistem maupun usability testing terhadap aplikasi yang diberi nama Online at Sawat (OAS). Hasil pengujian menunjukkan bahwa OAS telah memenuhi requirement yang dibutuhkan dan mempunyai hasil usability test yang baik. Hasil penelitian ini diharapkan dapat membantu petani palawija khususnya jagung dan kedelai agar hasil panennya terjaga dan pemerintah secara tidak langsung untuk mewujudkan Indonesia sebagai Lumbung Pangan Dunia.
Pipin Kesumariani, Meti Ekayani
Informatika Pertanian, Volume 27, pp 63-72; https://doi.org/10.21082/ip.v27n2.2018.p63-72

Abstract:
Coffee is one of the main commodities of Indonesian plantation crops. During 2012-2016 South Sumatera Province is the largest coffee producer with a contribution 28.80%. Beside as coffee producer, South Sumatera Province has a coal mining potential as much as 38,5% from the national total supply (22.240,4 million ton). The development of coal industry causes coffee land conversion. The purpose of the study is to analyze the factors that determine the farmer’s decision to sell their cropland to coal mining investor. The research was conducted in Lahat Regency, South Sumatera Province on February-March 2018. The sampling method used simple random sampling, with a total sample of 52 respondents. The research showed that land aggregates, total farmer’s income, number of families and age of coffee plant significantly influence farmer’s decision. Land conversion is a natural phenomenon that could not be prevented, but it could be controlled with restricting the license of coal mining, space arrangement (RTRW) and provide incentives to farmers as a form of support from the Government.
Jaka Sumarno, Rahmat Hanif Anasiru
Informatika Pertanian, Volume 27, pp 73-86; https://doi.org/10.21082/ip.v27n2.2018.p73-86

Abstract:
Cocoa has been developed in various regions in Indonesia. In developing cocoa farming, farmers still face the problem of low productivity, efficiency and quality of seeds. This is partly due to not using the right fertilizer. This study aims to analyze the effect of NPK Lodrin fertilizer use on the efficiency and income of cocoa farming in Gorontalo. The study was conducted in several Gorontalo cocoa production centers, namely in Gorontalo District and Pohuwato District in 2016. Data collection was conducted by survey method with questionnaires or structured questionnaires for 59 cocoa farmers. Respondents were farmers who used Lodrin NPK fertilizer and farmers who did not use Lodrin NPK fertilizer. The selection of respondents was carried out by stratified random sampling technique. The farming efficiency analysis method uses the Cobb-Douglas stochastic frontier production function model. Financial farming analysis was carried out to determine the level of cocoa farming income with the use of Lodrin NPK fertilizer. The results showed that the use of Lodrin NPK fertilizer significantly affected the increase in production, efficiency and income of cocoa farming in Gorontalo. The average level of farm efficiency both technical, allocative and economic efficiency of cocoa farmers using Lodrin NPK fertilizer is higher when compared to farmers who do not use Lodrin NPK fertilizer. The factors that influence the inefficiency of cocoa farming are farmer education and institutional factors, namely the frequency of counseling, participation in farmer groups, access to credit and technology assistance. The use of Lodrin NPK fertilizer increases the income of cocoa farming, as evidenced by the value of the R / C ratio and the value of return for higher production factors of farmers who use Lodrin NPK fertilizer.
Happy Suryati Hamami, Abdul Qadir, Satriyas Ilyas, Bambang Budhianto
Informatika Pertanian, Volume 27, pp 111-118; https://doi.org/10.21082/ip.v27n2.2018.p111-118

Abstract:
Bambara groundnut (Vigna subterranea (L.) Verdc) is a potential commodity to be developed in Indonesia, however, the production is done only once a year, therefore, it needs proper seed storage. The aim of this research was to study seed deterioration patterns of four bambara groundnut landraces stored in packages with different permeability in an open storage system for up to 6 months. This experiment was conducted from November 2015 to July 2016 at Seed Technology Laboratory, Department of Agronomy and Horticulture, IPB. Stages of experiment as follow: calculation of packaging permeability, seed storage, preparation and fitting data to regression equation.The packaging used in the study is aluminum foil, pp plastic and plastic sacks which have measured its permeability. The result showed that the seed deterioration of four bambara groundnut landraces in three packaging permeability has common sigmoidpattern with equation model: y = a / {1 + exp ((x + b) / c)}. The seed deterioration pattern based on SG and EC variables with the faster rate of decline occurred in Sumedang landrace packed in plastic sack (permeability = 1.4681 g/day m2 mm/Hg), thus having a shorter storability. The slower rate of decline occurred in Gresik landrace packed in aluminum foil (permeability = 0.098 g/day m2 mm/Hg), this means that it has a longer storability.
Slamet Bambang Priyanto, Muhammad Azrai, Muhammad Syakir
Informatika Pertanian, Volume 27, pp 1-8; https://doi.org/10.21082/ip.v27n1.2018.p1-8

Abstract:
The success of selection in plant breeding program is determined by genetic variabiliities, heritability values and the correlation between agronomic characters and yield. The study aims to determine the genetic variability, heritability and the effec of agronomic characters to grain yield. The experiment was conducted in February to May 2016 in Grobogan, Central Java. The experiment consists of twelve genotypes of maize hybrids, arranged in a randomized block design with three replications. The characters observed were plant height, ear height, number of harvested ear, shelling percentage, moisture content of grain harvested, weight of 100 grains, ear length, ear diameter, number of rows per ear, number of seeds per row per ear, and grain yields. The results showed that the genetic variability of agronomic characters was broad, except ear diameter. Almost all of the heritability values of yield components were high, except harvested ear weight and ear diameter. The characters of plant height, ear height and as the genotypic gave high of a direct effect on the yield higher, while direct effect of the phenotypic character of ear hairves on grain yield are higher.
, Roy Efendi, Muhammad Azrai
Informatika Pertanian, Volume 27, pp 47-62; https://doi.org/10.21082/ip.v27n1.2018.p47-62

Abstract:
Selection to identify corn genotypes that are able to use water effectively becomes a target in plant breeding activities to improve drought tolerance. Research to determine the performance appearance of agronomic characters, morphology, and physiology of several hybrid genotypes has been carried out in the Experimental Field of Cereals Research Institute, Maros, South Sulawesi, June - October 2016 in drought stress conditions using 65 hybrid corn genotypes. The research was conducted with 65 corn hybrid genotypes arranged in a randomized completed block design with three replications. Drought stress treatment was started before the flowering phase until the physiologically mature. The result indicated that agronomic, physiology and yield characters that are significant and positively correlated with o grain yield are plant height, ear height, stalk diameter, leaf area, leaf chlorophyll, leaf moisture content, stomata area, wet ear weight, ear leght, number of ear harvest, number of grain/rows and weight of 1000 grain. Leave rolling score, leaf senescence and leaf temperature are physiological characters that haved negative correlation with the grain yield, as well as agronomic characteristics of days to silking, days to anthesis and ASI value. Promising hybrid (CML 505/NEI 9008-9-5-B-B-B-B)// CY11, (CML 538/DMRYCML-2-7-B-B-B-B)//MAL03, (CML 538/DMRYCML-5-5-B-B-B-B)//MAL03, (CML 505/NEI 9008-9-4-B-B-B-B)//CY11, (CML 505/NEI 9008-18-2-B-B-B-B)//CY11, (CML 505/NEI 9008-9-1-B1-B-B-B)// CY11, (CML 538/DMRYCML-1-3-B-B-B-B)//CY11, (CML 505/NEI 9008-14-1-B-B-B-B)// B11209, (CML 505/NEI 9008-29-2-B-B-B-B)//CY11 dan (CML 505/NEI 9008-21-2-B-B-B-B)//MAL03 show better agronomic performance, yield components andgrain yield potential than Bima 9, Bima 16, Pertiwi 3 and P31. Those promising hybrid of drought tolerance could be further developed.
Yusi Nurmalita Andarini, Sutoro
Informatika Pertanian, Volume 27, pp 15-24; https://doi.org/10.21082/ip.v27n1.2018.p15-24

Abstract:
Produktivitas jagung ditentukan oleh kualitas lingkungan tumbuh dan varietas yang ditanam. Informasi variasi genetik tanaman jagung perlu diketahui sebagai dasar pertimbangan dalam penyusunan strategi konservasi, pemuliaan, pengelolaan, dan pemanfaatan sumber daya genetik tanaman. Syarat utama yang diperlukan oleh pemulia untuk merakit varietas unggul baru adalah tersedianya materi genetik dengan keragaman yang luas. Tujuan penelitian ini adalah untuk mengelompokkan plasma nutfah jagung lokal berdasarkan karakter kuantitatif tanaman. Penelitian dilaksanakan di Kebun Percobaan Cikemeuh, BB Biogen, Bogor, menggunakan 44 aksesi jagung lokal asal NTT dan enam aksesi jagung lokal asal Jawa Timur. Percobaan menggunakan rancangan acak kelompok dengan tiga ulangan, sebagai perlakuan adalah 50 aksesi jagung. Karakter yang diamati meliputi sifat agronomis dan morfologis tanaman. Hasil penelitian menunjukkan terdapat 5 kelompok aksesi, dan jagung aksesi Mendi berumur genjah, dapat dipanen pada umur 74 hari. Sumber daya genetik jagung dengan karakter biomas (bobot brangkasan) tertinggi dimiliki oleh aksesi Pena Tasa. Bobot 100 butir tertinggi dihasilkan oleh aksesi Pena Oban. Aksesi-aksesi tersebut dapat digunakan sebagai bahan pemuliaan tanaman jagung untuk menghasilkan varietas unggul.
Sitti Raodah Garuda, Yuliantoro Baliadi
Informatika Pertanian, Volume 27, pp 35-46; https://doi.org/10.21082/ip.v27n1.2018.p35-46

Abstract:
Climate change has an impact on decreasing agricultural production, especially food crops. The rate of decline in agricultural production due to climate change ranges from 5-20%.The objective of this study was to forecastfood-cropsat Papua Province that are tolerance and adaptable to climate change using trend method. This study used four models of trend analysis, i.e: linear least square pattern, quadratic, exponential, and moving averages, with secondary data base of rice, maize, soybean and sweet potato production; climate data (rainfall); productivity and harvested areas from 1970-2015. These data were used to estimate food crop production in the year of climate change to determine their impact on food-crop production. Results showed that soybean was the most sensitive crop to climate change. It has the biggest impact on production, yield declined on both El Nino (10.7%) and La Nina (11.4%). The lowest impact was on rice crop, which is generally cultivated on the wetlands, El Nino decreased of production of 2.9% and La Nina increased production 2.4%, respectively. Two other crops, maize production decreased 7.4% on the El Nino and 3.9% increased during the La Nina. Futhermore, the the analysis revealed that sweet potatois the most resistant crop to climate change since it production increase by 2.5% during El Nino. As conclusion, moving average trendof order 2 model was most appropriate to estimate the value of rice and soybean production in the 1970-2015 period.The quadratictrend model wasapropriate to estimate maize and sweet potato production based on its the MAPE, MAD, and MSD values.
Setyono Setyono, , Nur Rochman
Informatika Pertanian, Volume 27, pp 25-34; https://doi.org/10.21082/ip.v27n1.2018.p25-34

Abstract:
So far, regression analysis is used to model the mean of response variable as a function of some independent variables, using the least squares (LS) method. In general, the LS method is able to describe well the measure of central tendency, however it is not robust against outliers. Therefore, in certain cases, a regression analysis that minimizes the sum of absolute residuals (least absolute deviation - LAD) is required, which is more robust against outliers. So far, the value of the regression coefficient is not modeled and only depends entirely on the data processed. In some cases, the sign and the value of regression coefficients need to be controlled, in order to be in the meaningful range. The results of this study showed that the modification of the constraints on the LAD regression able to control the regression coefficients to be in the meaningful range. The results of bootstrap showed that distribution of controlled regression coefficients were different from distribution of uncontrolled regression coefficients.
Anky Zannati, Utut Widyastuti, Satya Nugroho
Informatika Pertanian, Volume 27, pp 9-14; https://doi.org/10.21082/ip.v27n1.2018.p9-14

Abstract:
High salinity is one of the major abiotic stresses affecting rice production. Previously, we have identified transposonDs insertional mutant rice lines cv Nipponbare showing improved tolerant under salinity stress The objective of thisresearch was to determine the Ds insertion site in chromosomal DNA from one of the salt tolerant mutant line (170-10) and identify the genes in the proximity. A specific amplicon around 450bp from the mutant rice line 170-10 wassuccessfully isolated with TAIL PCR technique using the degenerate and a specific Ds primers. Bioinformatics analysesfound that the insertion was located in a putative CDS designated as Os11g0686500 in chromosome 11 at the 2nd exon.Two putative CDS’s within the proximity of the Ds insertion site downstream and upstream the insertion sites were alsoidentified.
Haryono Nfn Haryono
Informatika Pertanian, Volume 25; https://doi.org/10.21082/ip.v25n2.2016.p181-188

Abstract:
The availability of water can not be separated from good tertiary irrigation network, apart from the available Secondary and Primary networks and also irrigation dams. Apart from funding, monitoring of JIT (Tertiary Irrigation Network) during the development and implementation is important. Identification of JIT condition is necessary for repairs, and problem frequently arise is the lack of rapid and accurate report from monitoring the condition. A rapid identification method that is simple, fast and accurate, provides an alternative in implementing the irrigation network monitoring. With a simple device that is Android-based mobile phone, equipped with a variety of applications, such as GPS Test, Open camera, GPS Photo Viewer and Photo folders, it is easier in monitoring of JIT. Results of monitoring in West Lombok using rapid method as an alternative, provided an option, better than the old method, with garmin gps, pictures with coordinates that can be sent directly, via social media, so that monitoring can be viewed simultaneously in the field and in the central office, monitoring information did not require a long time in the reports, and impact evaluation could be faster.
Abdullah Bin Arif
Informatika Pertanian, Volume 25; https://doi.org/10.21082/ip.v25n2.2016.p189-198

Abstract:
Pineapple, papaya and cempedak are horticultural commodities that are perishable, require large space, and are usually consumed in fresh form. Based on that, technologies are required for processing them, and one alternative is juice technology. To ensure that the juice is still suitable for consumption and unspoiled, information on shelf life is necessary. Method of estimating shelf life used is ASLT (Accelarated Shelf Life Test). This research was conducted at the Laboratory of The Indonesian Center for Postharvest Agricultural Research and Development between September 2012 – January 2013. Results showed that kinetics reaction in the deterioration of vitamin C in pineapple and pineapple-Cempedak juice followed order one reaction. At storage temperature ranging between 30 °C to -5 °C pineapple-cempedak juice showed a shelf life longer than the shelf life of pineapple and pineapple-papaya juices. The estimated shelf life of pineapple-cempedak juice at a temperature of -5 °C was 197.85 days. Shelf life of pineapple-papaya juice at a temperature of -5 °C was 172.39 days. Shelf life of pineapple juice at a temperature of -5 °C was 156.85 days.
Parlindungan Y Silitonga
Informatika Pertanian, Volume 25, pp 199-214; https://doi.org/10.21082/ip.v25n2.2016.p199-214

Abstract:
Implementation of Integrated Crop Management (ICM) on maize farming in dry land is expected to increase the production and efficiency. This study aimed to: 1) analyze technical, allocative, and economic efficiencies of dry land maize farming under ICM and non-ICM implementation program, 2) identify factors that influence the technical inefficiency of maize farming under ICM and non-ICM implementation program. The study was conducted in maize production center in West Java province at Sukabumi and Garut regencies. Stratified random sampling method was used to survey 300 households in 2015. The data were analyzed using the Cobb-Douglas stochastic frontier production function; while allocative and economic efficiencies were analyzed using the input side approach with frontier dual cost function. The results showed that the productivity of ICM maize farming was 18% higher than the non-ICM. The level of technical, allocative and economic efficiencies of ICM maize farming were 88%, 22%, and 20% respectively, while the level of technical, allocative and economic efficiencies of non-ICM maize farming were 78%, 18%, and 14%, respectively. The level of technical, allocative and economic efficiencies increased by 11% to 30% higher in ICM than the non-ICM. Factors causing technical inefficiency were frequency of extension, educational level, and distance of farmland from farmers residence.
I G.M. Budiarsana
Informatika Pertanian, Volume 25; https://doi.org/10.21082/ip.v25n2.2016.p231-240

Abstract:
Smallholder dairy farmers in Indonesia are very limited by the availability of quantity and quality of the feedstuff, especially in dry season. Sources of protein from legumes and non-conventional materials can be found around the area and used as feed ingredients for dairy cows. However, the major problem is in feed formulation for nutritionally balanced ration and with the cheapest cost. This paper outlines a step-by-step procedure in feed formulation based on Excel program for dairy farmers. The steps were performed to provide assurance that the resulting balanced ration was according to the targeted performance and at least cost. Also, users could control the process of formulating the ration. Examples were given by utilizing legumes and the results indicated that the reduction in feed cost was very real, as much as 10-20% when compared to the concentrated feed commonly used by farmers at a price of Rp1420/kg. The formulation method prepared by the program SOLVER can be recommended for use by dairy cattle ranchers individually or with assistance from Extension workers. Farmers are expected to be able to formulate their feed easily in order to get the least cost formula using feedstuff available in abundance, to minimize production cost, and to optimize feed management at small scale farming level.
Wahida Annisa
Informatika Pertanian, Volume 25, pp 241-248; https://doi.org/10.21082/ip.v25n2.2016.p241-248

Abstract:
This study aimed to determine the similarity of the characteristics of each type of organic matter in suppressing the solubility of iron in soil and absorption in plants. This research was conducted in two stages. The first stage was conducted in the greenhouse to study the effect of organic matter to iron solubility in acidic sulphate soil. The research used a factorial design with 1 control and 3 replications. The first factor was type of organic matter used, B1 = rice straw; B2 = weeds; B3 = Combination of 50% rice straw and 50% weeds. The second factor was the incubation period of organic matter I1 = 2 weeks, I2 = 4 weeks, I3 = 8 weeks, and I4 = 12 weeks. The second stage was analyzing the profiles of the type of organic matter in order to evaluate the similarity of the characteristics of each type of organic matter. Based on the profile alignment, it was found that the three types of organic matter were not aligned. The types of organic matter had different roles in suppressing the solubility of iron in soil and its absorption in plants. There is a need to do a comparative analysis with Tukey method to the three types of organic matter.
Rahmat Hanif Anasiru
Informatika Pertanian, Volume 25, pp 261-272; https://doi.org/10.21082/ip.v25n2.2016.p261-272

Abstract:
Watershed (DAS) is a complex ecosystem, where land quality is largely determined by land use activities. This illustrates the importance of analytical procedure, especially where the context in which the spatial pattern of land use in the future can be designed based on the risk of degradation in large areas. Data and information are necessary to be used as reference in designing a planning scheme related to land use. Geographic Information Systems (GIS) is a system that has the ability to analyze problems and their spatial and non-spatial combinations (queries) in order to provide solutions to spatial problems. Sustainable farming is an integral part of sustainable development, a farming system which preserves water resources, land resources, and plant resources in acceptable and suitable ways economically, socially, and environmentally. The research aimed to identify and classify critical land by spatial analysis. Based on identification of land, there were 12 individual units in the study area. Based on the spatial analysis, critical land classification was divided into not critical area of 1,818 ha (28.7.%), Potentially Critical 2,596 ha (41.06%), Moderately critical 1,631 ha (25.08%), Critical 226 ha (3.57 %). Most of the land in sub-basin Langge was a hilly area of 1180.6 ha (63.8%) with a slope of 12-25%; 25-40% and above 40%. Alternative farm management in this area was a conservation farm by mechanical conservation techniques (terraces) or vegetative with cultivation techniques hallway, living fences, grass strips and agroforestry.
Ahmad Dhiaul Khuluq, Ruly Hamida
Informatika Pertanian, Volume 25; https://doi.org/10.21082/ip.v25n2.2016.p273-278

Abstract:
One of the problems encountered in the development of sugarcane (Sacharrum officinarum L.) includes the availability of sugarcane seed both in quality and quantity. Evaluation of bud sett planting method in seed production was required in order to achieve the expected results. The study was conducted at the experiment station Muktiharjo, Central Java in 2012 using PSJT 941 varieties. Treatments applied were the different number of buds on bud sett which were at 3 levels, 1 bud, 2 buds or 3 buds. Research was arranged in a randomized complete block design (RCBD) with 5 replications. Observations were conducted on germination, tillering, plant height, number of stems, number of suckers and number of buds. The data obtained were analyzed with ANOVA and further tested using the Duncan test. Production assessment modeling approach was performed by a regression analysis. Calculation of stem number on 2 buds showed the highest with 9.6 stems/m, 9.2 buds/stem and with the sucker numbers lowest at 0.38 suckers/m. The highest production buds was obtained at planting 2 buds with 847,848.06 buds/ha which can be used as 8.83 ha for the milled sugarcane plantation. Assessment of bud production per hectare could use equation Y = 159655,48.e0,171.X with the independent variable of stem numbers per meter with a correlation coefficient of 0,9007 and a standard error of 1,0699.
Wahyuni Nfn Wahyuni, E Sulaeman, A. N. Ardiwinata
Informatika Pertanian, Volume 25, pp 155-162; https://doi.org/10.21082/ip.v25n2.2016.p155-162

Abstract:
Heptachlor insecticide is a toxic organochlorine insecticide, persistent and bio-cummulative in the environment. Remediation using actived carbon and microbial is a solution to pollution due to pesticide in the environment.The objective of this study was to obtain fertilizer technology using urea with activated carbon and enriched with microbes degrading heptachlor insecticide in order to reduce the insecticide residue in paddy fields. The research was conducted at the Jakenan Experimental Station between February to September 2012. The soil used as the planting medium was brought from the village Sukamenak, District Rawagempol Wetan, Karawang. The experiment was conducted in the field at micro-plot scale with lysimeter, and using a randomized block design (RBD) with 3 replications and 6 fertilizer treatments ( control , prill urea , urea with activated carbon maize cobs ( UAATJ ) , urea with activated carbon coconut shell ( UAATK ) , urea with activated carbon cob corn + microbes ( UAATJM ) , urea with activated carbon coconut shell + microbes ( UAATKM ). The plants used were from Inpari 13 variety. The insecticide residue analysis was performed in the Residu Bahan Agrikimia (RBA) laboratory of Balingtan. The results showed significant orthogonal countrast tests of different treatments. The highest reduction of residual insecticide was observed in urea coated with activated carbon cob corn and enriched with microbial consortia degrading POPs, which was 36.30 %. It is suspected that activated carbon coated cob corn with microbial enrichment was favored as its home and the microbes utilized carbon sources of heptachlor as the food.
Laila Kadar
Informatika Pertanian, Volume 25; https://doi.org/10.21082/ip.v25n2.2016.p215-220

Abstract:
Maize is the second basic food need after rice that is potential and has high economic value in increasing income of farmers and food diversification program. White maize, in particular, is an alternative staple food in Grobogan Regency. The superior variety is a component of technology that plays a prominent role to increase productivity, disease resistant, and environmentally suitable (specific location). The aim of the study was to determine the influential factors in the adoption of superior variety of white maize in order to achieve transfer of technology. The study was carried out in three villages of Grobogan Regency, Central Java: namely Sumber Jatipohon, Godan, and Karangasem. The locations were determined with purposive sampling and the number of respondents interviewed was 120 farmers (40 farmers in each village) between September-December 2015. Analyses of the data were descriptively and quantitatively using percentages, charts and tables with logistic regression. The results of this study showed that the interest of farmers to adopt new superior variety of white maize was quite good around 66.7 percent. Farmers’ interest toward superior variety may be considered high. While factors significantly influencing the adoption included income, knowledge or information on technology, agriculture extension support, pest, and availability of seeds. On the other hand, factors which were not significantly affecting the adoption included age, formal education, farmers’ experience, and land size.
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