Journal Informatika Pertanian

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Yeli Sarvina
Informatika Pertanian, Volume 26, pp 23-30; doi:10.21082/ip.v26n1.2017.p23-30

Abstract:Analisis dalam penelitian agroklimat seringkali menggunakan data time series panjang dan beragam serta melibatkan model-model simulasi yang kompleks. Untuk dapat menghasilkan informasi dengan cepat, tepat, dan akurat dibutuhkan perangkat lunak (software) komputer. Penggunaan software berlisensi membutuhkan biaya yang relatif mahal. Salah satu solusi untuk mengatasi keterbatasan biaya pembelian software ini adalah penggunaan open source software (OSS). Tulisan ini membahas pemanfaatan OSS pengolah data dan statistik yaitu perangkat “R” dalam penelitian agroklimat, mulai dari paket analisis yang tersedia, contoh penelitian yang menggunakan OSS “R” hingga keunggulannya dibandingkan dengan software pengolah data lainnya. Saat ini penggunaan OSS untuk penelitian agroklimat terus meningkat, baik untuk analisis data spasial maupun tabular. Perangkat “R” dapat digunakan untuk pengolahan statistik, mulai dari analisis sederhana seperti analisis ragam dalam penelitian lapangan sampai analisis pemodelan iklim yang kompleks. Berbagai paket ”R” untuk penelitian agroklimat telah banyak dikembangkan. Kemampuan perangkat ”R” dalam manajerialisasi data, simulasi, modeling, dan machine learning adalah keunggulan dari software ini yang diperlukan dalam penelitian agroklimat. OSS ”R” memberikan peluang yang lebih besar kepada para peneliti dan pihak lainnya untuk menggali informasi historis agroklimat. Perangkat “R” perlu dikembangkan dalam penelitian agroklimat dengan paket yang sudah ada. Para peneliti dapat mengembangkan paket baru dari paket yang sudah ada untuk memecahkan berbagai masalah agroklimat dan pertanian umumnya.
Abdullah Bin Arif, Wahyu Diyono, Maulida Hayuningtyas, Enrico Syaefullah, Agus Budiyanto, Nur Richana
Published: 28 December 2017
Informatika Pertanian, Volume 26, pp 57-66; doi:10.21082/ip.v26n2.2017.p57-66

Abstract:Pencarian bahan energi alternatif yang tidak berkompetisi dengan pangan dan pakan sangat perlu dan mendesak. Biomassa lignoselulosa merupakan salah satu sumber energi terbarukan yang potensial. Metode penggandaan produksi bioenergi dari skala laboratorium ke skala industri perlu dikaji untuk pengembangan. Penelitian ini bertujuan untuk mendapatkan metode penggandaan produksi bioetanol dari tongkol jagung. Percobaan penggandaan bioetanol dari skala laboratorium ke skala industri dilakukan dengan metode Pg/V tetap (tenaga pengadukan per volume). Perhitungan penggandaan skala berdasarkan data reologi cairan fermentasi dan spesifikasi fermentor yang digunakan. Hasil penelitian menunjukkan penggandaan skala produksi bioetanol dengan kapasitas bioreaktor 200 l, menghasilkan volume kerja 65% atau 130 liter dengan tinggi cairan fermentasi 0,840 m, diameter tangki bioreaktor 0,441 m, diameter pengaduk jenis turbin pipih 0,187 m, dan kecepatan agitasi 66,34 rpm. Berdasarkan perhitungan dasar penggandaan produksi bioetanol dengan kapasitas bioreaktor 10.000 l diperoleh volume kerja 65% atau 6.500 l dengan tinggi cairan fermentasi 2,87 m, diameter tangki bioreaktor 1,49 m, diameter pengaduk jenis turbin pipih 0,63 m, dan kecepatan agitasi 29,52 rpm
Nfn Salwati
Informatika Pertanian, Volume 22, pp 53-64; doi:10.21082/ip.v22n1.2013.p53-64

Abstract:This research aims to construct a simulation model of development, growth and waterbalance of potato crop. Reasearchalso predicts climate change impact on potato productivity in several potato production center in Indonesia. The cropmodel being constructed explains process mechanism of development and growth during crop life cycle as a responseto fluctuation of climatic. Three field experiments were conducted at three locations at Pacet and Galudra in West JavaProvince, and at Kerinci in Jambi Province, to support the model development; for model calibration (Pacet) and modelvalidation (Galudra and Kerinci). Paired t-test between model predictions of Granola variety with observations showedthat there were not significant differences (P> 0,05) on all variables tested, except leaf biomass. In Atlantic variety, therewere not significant differences (P> 0,05) on root, tuber biomass and soil water content. Based on graphical test showedcoefficient of determination were (R2) greater than 0,80 for all variables.Generally, results on validation suggested thatmodel predictions were not significantly different with field measurements at Galudra (Granola variety) and Kerinci(Atlantis and Granola variety) for variable of plant ages, biomass of root, stem, leaf and tuber, leaf area index, and soilwater content.
Asriyanti Ilyas
Informatika Pertanian, Volume 22, pp 29-36; doi:10.21082/ip.v22n1.2013.p29-36

Abstract:Different types of rice pests, have been reported. The explosions and a potential pests are Rice Stem Borer (Tryporizasp.), Brown Planthoppers (Nilaparvata lugens), Green Leafhoppers (Nephotettix virescens), and Rats (Rattus sp.), wichan obstacle in creating stability of rice production in Bone. In rice ecosystem, natural enemies of arthropod predatorsare most instrumental in suppressing the pest population. Fluctuation in population density of natural enemies, affectingpests presence. Efforts to suppress pest proportions through IPM, is a strategy of lowering the level of pests and damageto rice crops. This study aims to identify and measure the relationship strength between pests and natural enemiespopulations in some rice varieties after IPM, using correlation and regression analysis. Observations conducted in Bone,from May to August 2012, with 2 observed variables, pests and natural enemies populations in Inpari 6, Inpari 10, Inpari16, Ciherang, Cigelis, and Mekongga. Data analysis were performed using correlation and regression analysis. Theresults showed a high degree of correlation between pest and natural enemies (predators) populalions, characterized bya positive correlation coefficient (0.957) and significant at the level of 0.01, where each increase in the intensity of pestpopulations, will be followed by increase in the number of natural enemies captured.
Jeffry E. Sianipar, Bambang S. Sankarto
Informatika Pertanian, Volume 22, pp 73-79; doi:10.21082/ip.v22n2.2013.p73-79

Abstract:Peningkatan produktivitas padi telah dicapai di Kabupaten Manokwari sejak 2008 tetapi masih sangat rendah (6,5%). Untuk meningkatkan produksi, pemerintah daerah telah berusaha untuk mengoptimalkan pemanfaatan sumber daya yang tersedia dan juga inovasi teknologi. Penelitian bertujuan untuk mengetahui dan menganalisis faktor-faktor yang memengaruhi produksi padi dan pendapatan petani. Penelitian dilakukan di Distrik Prafi, Distrik Masni dan Distrik Warmare, Kabupaten Manokwari. Total sampel populasi yang diambil sebanyak 90 petani yang setiap kabupatennya diambil sebanyak 30 orang, dan kemudian dikelompokkan ke dalam petani transmigran dan petani lokal. Data dianalisis menggunakan fungsi produksi dan fungsi pendapatan Cobb-Douglass yang selanjutnya diestimasi menggunakan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa pengaruh intensifikasi usaha pertanian terhadap produksi padi dan pendapatan petani, terbaik diperoleh oleh petani transmigran dibanding petani setempat.
Henriyadi Henriyadi
Informatika Pertanian, Volume 21, pp 41-49; doi:10.21082/ip.v21n1.2012.p41-49

Abstract:One ferm of scientific recognition indicators for research institution is the number of research articles in scientific publications (journals, proceedings) whether printed or digital form. Scientific publications are usually available in digital format and as a link to the website of each research center as publisher of the publication. Problems that occur with the digital form of scientific publications are difficulties for users to find information, because they have to search them on each research center web sites to obtain the topic. The study chose the appropriate application to integrate the scattered scientific publications into an Institutional Repository, therefore of the user would be easier to trace information and increased Indonesian Agency for Agricultural Research and Development (IAARD) scientific recognition. The method for selecting was adapted and modified from COTS-software-product framework and Analytical Hierarchy Process (AHP) multi criteria analysis. The result indicated that the best application for Repository IAARD scientific publication is DSpace Software.
Anky Zannati, Utut Widyastuti, Satya Nugroho
Informatika Pertanian, Volume 27, pp 9-14; doi: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.
Slamet Bambang Priyanto, Muhammad Azrai, Muhammad Syakir
Informatika Pertanian, Volume 27, pp 1-8; doi: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.
Setyono - -
Published: 26 December 2016
Informatika Pertanian, Volume 24; doi:10.21082/ip.v24n2.2015.p191-204

Abstract:A good statistic is unbiased and efficient. Because the encountered data in practice is a sample data with a certain size, the required statistic is not unbiased statistic, but statistic that has small error. When the encountered data is only a sample data, then that can be done is not error optimization but is residual optimization. This study aims to examine the error performance of three methods of residual optimization, they are by minimizing the maximum of absolute residual (MLAD), by minimizing the sum of absolute residual (LAD), and by minimizing the sum of squared residual (LS). Research results using simulation experiments showed that if the data have uniform distribution, the residual optimization method by minimizing maximum of absolute residual get the smallest error. Meanwhile, residual optimization method by minimizing the sum of squared residual get the smallest error when the data have normal or exponential distribution. This property is true when statistics to be estimated are measure of central tendency, regression coefficients, and the response of regression.
Elya - Nurwullan
Published: 26 December 2016
Informatika Pertanian, Volume 24; doi:10.21082/ip.v24n2.2015.p205-214

Abstract:Structural Equation Model (SEM) alternative method Partial Least Square (PLS) is an analysis tools are usually used to develop a causality model of linear-predictive relation between a collaboration network as the latent exogenous variables (Xi), and the innovation and performance as the latent endogenous variables (Yi ) which has non-parametric with theoretically less supported. This paper aims to discuss the use of PLS on the indirect effects of on the performance of SMEs collaboration networks to soybean processing MSEs’ performance mediated by the level of innovation. This survey is an empirical study conducted in several clusters processing industry center and tofu in 4 regions namely Sumedang District, Tegal regency, West Jakarta and South Jakarta. Selection of research using purposive sampling location is the tofu and tempeh clustered. Based on the analysis, obtained a description that use the PLS on the effect on the performance of SMEs cooperation networks soybean processing mediated by the level of innovation demonstrated relatively good results. Therefore, the application of the model could be widely applied to the various innovation adopting process, especially on the collaboration with external parties in the food and agriculture based industry.
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