Journal Information
ISSN / EISSN : 2252-3839 / 2549-2403
Current Publisher: Sekolah Tinggi Teknologi Adisutjipto (10.28989)
Total articles ≅ 50

Latest articles in this journal

Zaidir Zaidir, Indra Listiawan
Published: 20 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.817

Samen Anjum Arani, Rashed Ibn Nawab, Tanvir Rahman, Moniruz Zaman
Published: 2 November 2020
Compiler, Volume 9; doi:10.28989/compiler.v9i2.787

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Dwi Nugraheny, Yuliani Indrianingsih, Aldio Bima Saifullah
Published: 2 November 2020
Compiler, Volume 9, pp 1-8; doi:10.28989/compiler.v9i2.780

Perceptions about the quality of education are the ability to provide an assessment of the superiority of an educational service that can produce academic and non-academic excellence for students by reffering to input, the process of outcomes and the impact it causes. One of the non-academic service on institutions to users, especially students is a website. One of the vision of educational institutions is to provide service to students electronically through website and be expected that the college website can provide the best possible information to students. This study discusses how to measure the website quality of Adisutjipto College of Tehcnology (STTA) using 3 (three) dimensions; Usability, Information Quality and Service Interaction. This research is a descriptive study with a survey method. The research instrument used a questionnaire. The research subjects were 50 STTA students. The results of the measurement survey which are affected by those three dimensions shows that the quality of the STTA’s website is in the “Medium” category. Keywords Website Quality, Usability, Information Quality, Service Interaction. Full Text: PDF (Bahasa Indonesia) References Sallis, E. (2014). Total quality management in education. Routledge. Rosandich, T. J. (2011). Information technology and sports: looking toward Web 3.0. The Sport Journal, 14(1), 1-13. Dix, A., Dix, A. J., Finlay, J., Abowd, G. D., & Beale, R. (2003). Human-computer interaction. Pearson Education.Arifin, S. R. (2018). Pengukuran kualitas layanan website Universitas Tadulako menggunakan metode WebQual. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 4(2), 125-136.Pearson, M. (2008). Sistem Informasi Manajemen. Salemba. Jakarta, 9. Kothainayaki, S., Sivakumaren, K. S., & Gopalakrishnan, S. (2012). User preferences on university websites: a study. Library Philosophy and Practice, 1. Puspitasari, D., & Widyobroto, B. P. (2013). Kajian Kepuasan Terhadap Website Universitas Airlangga: Studi Komparasi antara Pengguna Internal dan Pengguna Eksternal/Potensial. Under Graduates Thesis. Universitas Gadjah Mada. Taddeo, C., & Barnes, A. (2016). The school website: Facilitating communication engagement and learning. British Journal of Educational Technology, 47(2), 421-436. Abdullah, D., Jayaraman, K., Kamal, S. B. M., & Md Nor, N. (2016). A conceptual model of interactive hotel website: The role of perceived website interactivity and customer perceived value toward website revisit intention. Procedia Economics and Finance, 37(16), 170-175. Nugraheny, D. (2016, November). Analisis User Interface dan User Experience pada Website Sekolah Tinggi Teknologi Adisutjipto Yogyakarta. In Conference SENATIK STT Adisutjipto Yogyakarta (Vol. 2, pp. 183-187). Wijaya, T. (2011). Manajemen kualitas jasa. Jakarta: PT. Indeks, 143. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of marketing, 60(2), 31-46. Muhsin, A., & Zuliestiana, D. A. (2017). Analisis Pengaruh Kualitas Website (Webqual) 4.0 Terhadap Kepuasan Pengguna Bukalapak Di Kota Bandung. eProceedings of Management, 4(3). Barnes, S. J., & Vidgen, R. (2003). Measuring web site quality improvements: a case study of the forum on strategic management knowledge exchange. Industrial management & Data systems. Akbar, P. S., & Usman, H. (2006). Pengantar Statistika Edisi Kedua. Jakarta: PT Bumi Aksara. Suharsimi, A. (2006). Prosedur penelitian suatu pendekatan praktik. Jakarta: Rineka Cipta. Sugiyono, M. P. P. P. K. (2007). Kualitataif dan R&D, Bandung: Alfabeta, 2010. Sugiyono, Metode Penelitian Kuantitatif kualitatif dan R&D Bandung: Alfabeta. BPS. 2017. Jumlah Perguruan Tinggi, mahasiswa dan tenaga edukatif (Negeri dan Swasta ) di Bawah Kementriaan Pendidikan dan Kebudayaan Menurut Provinsi tahun ajaran 2014/2015. Dafid, D., & Novita, D. (2018). Metode WebQual 4.0 Untuk Analisis Kualitas Web Pembelajaran. JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi), 1(2), 17-21.Yodi, Y. (2018). Analisis Kualitas Situs Web Batampos Menggunakan Metode WebQual 4.0. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(2), 591-596. Refbacks There are currently no refbacks.
Daewu Gus Bintara Putra, Anggraini Kusumaningrum
Compiler, Volume 9; doi:10.28989/compiler.v9i1.666

- Drones as Unmanned Aerial Vehicle that are controlled using remote control are experiencing better development. The speed of the drone that cannot be accessed on the remote control can be determined through a client-server based application. The client side application, named Mydrone, is placed on the drone while on the server side, named Admin Drone, on earth. Mydrone and Admin Drone are applications made in this research based on andorid. This application on the client and server is used to monitor the speed of flying drones by using the Google Play Service library. Data sent from the client to the server in realtime by using Google Firebase. From the tests carried out it can be seen the speed of the drone when flying horisontal ly, while when flying vertically the speed is not detected. Battery capacity will also decrease when the speed of the drone gets faster, this is seen in the data when the speed is 8,741 km / h, the electricity demand taken from the battery is 31%.
Andika Bayu Saputra
Compiler, Volume 9; doi:10.28989/compiler.v9i1.656

Scheduling lectures at academic institutions especially the Faculty of Engineering and Information Technology General Achmad Yani University Yogyakarta is still done semi-manually with the help of Microsoft Excel and takes days to determine the days and space and hours of lectures, while in making schedules must be done optimally and fast because the schedule will be used for lecture activities each semester. In preparing lecture scheduling, it can be done by applying methods that are often used. One of them is using a genetic algorithm which is one of the right algorithms to solve complex search and optimization problems. Genetic algorithms can find the best solution from a broad set of candidates and have many optimum points. In other words, genetic algorithms provide solutions to scheduling problems to minimize collision schedules with coding stages, determine initial population values, determine chromosome values at random, determine fitness values for minimize the broken schedule, then select the roulette wheel, cross-move one-point crossover, then perform value coding mutations. This research is expected to be able to contribute knowledge about the application of genetic algorithms to overcome problems in the scheduling field Keywords Genetic Algorithms, scheduling system, lectures. References Saputra, A.B. and Cahyono, A., 2018. APLIKASI MONITORING CAPAIAN KOMPETENSI PESERTA DIDIK DI SMA KOLOMBO YOGYAKARTA. Angkasa: Jurnal Ilmiah Bidang Teknologi, 10(2), pp.172-179. Hartadi, R. and Hidayat, A. (2016) ‘Perancangan Aplikasi Penjadwalan Mata Kuliah (Studi Kasus : STMIK Provisi Semarang)’, Jurnal Bianglala Informatika, 4(1), pp. 31–40. Josi, A. (2017) ‘Implementasi Algoritma Genetika Pada Aplikasi Penjadwalan Perkuliahan Berbasis Web Dengan Mengadopsi Model Waterfall’, Jurnal Informatika: Jurnal Pengembangan IT, 02(02), pp. 77–83. doi: 10.30591/JPIT.V2I2.517.G554. Ni Luh Gede Pivin, S., I Made, S. and Suta, D. (2016) ‘Penerapan Algoritma Genetika Untuk Penjadwalan Mata Pelajaran’, Journal of Applied Intelligent System, 1(3), pp. 220–233. Paranduk, L. et al. (2018) ‘Sistem Informasi Penjadwalan mata kuliah menggunakan algoritma genetika berbasis Web’, in, pp. 46–50. Puspaningrum, wiga A., Djunaidy, A. and Vinarti, R. A. (2013) ‘Penjadwalan Mata Kuliah Menggunakan algoritma Genetika di jurusan sistem informasi ITS’, Jurnal teknik POMITS, 2(1), pp. 127–131. Suhartono, E. (2015) ‘Optimasi Penjadwalan Mata Kuliah dengan Algoritma Genetika ( Studi Kasus di AMIK JTC Semarang )’, Infokam, 2, pp. 132–146. Suprayogi, D. A. and Mahmudy, W. F. (2015) ‘Penerapan Algoritma Genetika Traveling Salesman Problem with Time Window: Studi Kasus Rute Antar Jemput Laundry’, Jurnal Buana Informatika, 6(2), pp. 121–130. doi: 10.24002/jbi.v6i2.407. Yudistira, A., Djamal, E. C. and Yuniarti, R. (2017) ‘Optimalisasi Penjadwalan Audit di Inspektorat Daerah Kabupaten Cianjur Menggunakan Algoritma Genetika’, Seminar Nasional Aplikasi Teknologi Informasi (SNATi), pp. 1907–5022. Refbacks There are currently no refbacks.
Muhammad Zainal Abidin, Dwi Nugraheny, Yuliani Indrianingsih
Compiler, Volume 9, pp 9-18; doi:10.28989/compiler.v9i1.633

This study is intended to assess the user interface and user experience on the Adisutjipto College of Technology website using the mergesort method and compared with the quicksort method in finding the highest value of several variables or elements that are categorized as good or good in order to improve the quality of the Adisutjipto College of Technology website. The results of the study show that the quicksort method is faster in the process of calculating questionnaire data than the merge method with an average time record of 0.476667 seconds for the quicksort method and 0.576667 seconds for the mergesort method. The results of the comparison of the two methods on the questionnaire website to assess the accuracy in terms of user interface and user experience on the Adisutjipto College of Technology website, that the mergesort method is more accurate than the quicksort method, the Usability category scores the highest, while the Expressive aesthentics category has the lowest value
Salam Aryanto
Compiler, Volume 9; doi:10.28989/compiler.v9i1.650

The development of animation technology is currently very rapid, but to animate a three-dimensional object beforehand must be done by preparing the framework manually. Also in the real world, when two objects collide, they do not penetrate each other. When a collision occurs, the interaction force will change the original state of two objects, such as position, trajectory, and direction. The purpose of this study focuses on the rigid body in a three dimensional rigging model arrangement for car animation scenarios on a bumpy road. This approach focuses on reducing manual movement by animators when animating three-dimensional car models. The result is to make a car animation on a bumpy road well, then the arrangement of the framework on the car has a mass = 1946 kg and gravity = -981.001 cm / s2. As well as knowing the results of the animated motion of the car on a bumpy road with a tolerance of distance between the car's wheels and the trajectory of 4.44 cm without applying a rigid body to the arrangement of the car's frame. While the motion animation of the car on a bumpy road with good results where the tolerance of the distance between the car wheels and the track is 0.045 cm after applying a rigid body to the arrangement of the car's frame. Keywords rigid body, arrangement, rigging, animation, vehicle References [1] Yu, Y., Yang, J., Zan, X., Huang, J., & Zhang, X. (2017). Research of Simulation in Character Animation Based on Physics Engine [Research article]. [2] Zulnaidi. 2007. Metode Penelitian. Universitas Sumatera Utara. Medan. [3] Fazeli, N., Tedrake, R., & Rodriguez, A. (2018). Identifiability Analysis of Planar RigidBody Frictional Contact. In Robotics Research (pp. 665–682). Springer, Cham. [4] Chatterjee, A., & Ruina, A. (1998). Two Interpretations of Rigidity in Rigid-Body Collisions. Journal of Applied Mechanics, 65(4), 894–900. 10.1115/1.2791929 [5] McHenry, R. R. (2014). The Role of Vehicle Dynamics Simulation in Highway Safety Research. ASME 16th International Conference on Advanced Vehicle Technologies, 1-16. [6] Aryanto, S. (2018). Implementasi rigid body pada rigging terhadap animasi dinamis model kendaraan tiga dimensi. Angkasa: Jurnal Ilmiah Bidang Teknologi, 10(1), 77-88. [7] Kurniadi, Y., Liliana, L., & Purba, K. R. (2016). Pembuatan Aplikasi Simulasi Ujian Praktik Pengambilan Surat Izin Mengemudi Kendaraan Roda Empat. Jurnal Infra, 4(2), 110-115. [8] Hidayat, D., Istiyanto, J., Sumarsono, D. A., & Marta, A. (2017). Investigasi Gaya Kontak/Impak Pada Main Landing Gear Pesawat Komuter Dengan Pendekatan Multi-Body Simulation (MBS) Rigid Models. Jurnal Teknologi Dirgantara, 15(1), 1-10. [9] Djuliandri, F. R., Triwiyatno, A., & Setiyono, B. (2016). Desain Sistem Kontrol Fuzzy Untuk Kendali Sudut Pitch Pada Model Pesawat Konvensional Dengan Tipe Fixed Wing. Transient, 5(2), 343-348. [10] Syamsuar, S. (2017). Metoda Short Takeoff Landing (Studi Kasus Prestasi Terbang Takeoff-Landing Pesawat Udara Turbo Prop CN235). Warta Ardhia, 41(2), 49-58. Refbacks There are currently no refbacks.
Ulil Amri Nasron, Muhammad Habibi
Compiler, Volume 9; doi:10.28989/compiler.v9i1.579

Businesses began to shift from the marketing process that used to use conventional media to switch to using the internet and social media. This is because the cost of marketing using the internet and social media is cheaper than using conventional media. The problem that is often faced by businesspeople when marketing on social media is that they rarely see a marketplace that is becoming a trend and is being discussed by consumers on social media, so the marketing process is carried out less than the maximum. This study aims to analyze conversation trends related to the marketplace on the Twitter platform. The method used in this study is the K-Means Clustering method. Based on the results of the study found that the application of the K-Means Clustering method can produce sufficient information as a basis for consideration of businesspeople in choosing a marketplace. Marketplace trend analysis results show that Shopee, Lazada, and Tokopedia are highly discussed marketplaces on Twitter. Keywords Marketplace; Text Mining; K-Means; Twitter; Clustering References Sunyoto, D. (2011). Analisis Regresi dan Uji Hipotesis. Yogyakarta: Caps Publishing.Databoks. (2019). Berapa Pengguna Media Sosial Indonesia? Retrieved November 30, 2019, from, B. (2019). Pengguna Aktif Harian Twitter Indonesia Diklaim Terbanyak. Retrieved November 30, 2019, from, M. (2018). Analisis Konten Jejaring Sosial Twitter dalam Kasus Pemilihan Gubernur DKI 2017. Teknomatika, 11(1), 31–40.Cahyo, P. W. (2017). Model Monitoring Sebaran Penyakit Demam Berdarah di Indonesia Berdasarkan Analisis Pesan Twitter. Universitas Gadjah Mada Yogyakarta.Habibi, M., & Cahyo, P. W. (2019). Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 13(4), 399–408., P. W. (2018). Klasterisasi Tipe Pembelajar Sebagai Parameter Evaluasi Kualitas Pendidikan di Perguruan Tinggi. Teknomatika, 11(1), 49–55.Maulida, L. (2018). Kunjungan Wisatawan Ke Objek Wisata Unggulan Di Prov . Dki Jakarta Dengan K-Means. JISKa, 2(3), 167–174.Kelik Nugroho, A. (2018). Image Quantization in Psoriasis Using K-Mean Clustering. In Prosiding Seminar Nasional Teknologi Informasi dan Kedirgantaraan (SENATIK) (Vol. IV, pp. 183–189)., M., & Sumarsono. (2018). Implementation of Cosine Similarity in an automatic classifier for comments Program. JISKa (Jurnal Informatika Sunan Kalijaga), 3(2), 38–46., F. (2002). Machine Learning in Automated Text Categorization. ACM Computing Surveys (CSUR), 34(1), 1–47.Habibi, M. (2017). Analisis Sentimen dan Klasifikasi Komentar Mahasiswa pada Sistem Evaluasi Pembelajaran Menggunakan Kombinasi KNN Berbasis Cosine Similarity dan Supervised Model. Departemen Ilmu Komputer dan Elektronika, Fakultas Matematika dan Ilmu Pengetahuan Alam. Universitas Gadjah Mada.Kalra, V., & Aggarwal, R. (2018). Importance of Text Data Preprocessing & Implementation in RapidMiner. Proceedings of the First International Conference on Information Technology and Knowledge Management, 14, 71–75., H., & Barros, F. (2010). A Feature Extraction Process for Sentiment Analysis of Opinions on Services. Proceedings of the III International Workshop on Web and Text Intelligence (WTI).Manning, C. D., Raghavan, P., & Schutze, H. (2009). An Introduction to Information Retrieval. Cambridge, England: Cambridge University Press., N., & Jai Kaur, P. (2015). A Survey of Clustering Techniques and Algorithms. 2nd International Conference on Computing for Sustainable Global Development (INDIACom), 3014–3017. Refbacks There are currently no refbacks.
Rama Sahtyawan, Arief Ikhwan Wicaksono
Compiler, Volume 9; doi:10.28989/compiler.v9i1.627

Control systems in the field of technology, electronic devices must be controlled. But there are still those who oppose if the room does not have a place anywhere, where there is no one at home, other people forget to change the lights, it is very inconvenient if you have to go home, even though if the lights are left activated there will be a waste, from which It was stated that a light monitoring device was provided using the Internet-based (IoT) tea-based Relay module using the NodeMcu ESP 8266 microcontroller which has been equipped with a wifi module, so that the led lights can be monitored by the user in realtime so using the IoT Program platform using the Blynk application, which can be controlled via handphone, In the system implementation, a display is made using Blynk. There are 4 on and off switch buttons which are used to facilitate and activate the Led lights. In this research, the control of Led using blynk is done 10 times. Led control testing is used to see each procedural function running correctly as expected, the results of tests that have been done get the results of 10x experiments that have been done to get 2 x interrupted experiments in the LEDs needed to connect the wifi network Keywords NodeMCU ESP 8266, Relay, (IoT), Blynk, Led References Yatin, S. F. M., Hussain, H. M., Fitri, K. N. K., Aman, K., & Jamil, N.S. (2018). The Internet of Things (IoT) in Information Agencies.INTERNATIONAL JOURNAL OF ACADEMIC RESEARCH IN BUSINESS AND SOCIAL SCIENCES,8(9). Kortuem, G., Kawsar, F., Fitton., D., Sundramoorthy, V.: Smart objects as building blocks for the internet of things. Internet Computing, IEEE, vol. 14, no.1, 44--51 (2010). Kortuem, G., Kawsar, F., Fitton., D., Sundramoorthy, V, (2010), Smart objects as building blocks for the internet of things. Internet Computing, IEEE, vol. 14, no.1, 44--5. Lin K, Chen M, Deng J, Hassan MM, Fortino G (2016) Enhancedfingerprinting and trajectory prediction for iot localization in smartbuildings. IEEE Trans Autom Sci Eng 13(3):1294–1307. Chasta, R., Singh, R., Gehlot, A., Mishra, R. G., & Choudhury, S. (2016). A Smart Building Automation System. International Journal of Smart Home. Omprakash, K. S. (2011). Wireless Home Security System With Mobile. International Journal of Advanced Engineering Technology. Furdik, K., Lukac, G., Sabol, T., & Kostelnik, d. P. (2013). The Network Architecture Design for an Adaptable IoT-based Smart Office Solution. International Journal of Computer Networks and Communications Security.Farisqi Panduardi, Endi Sailul Haq, (2016). Wireless Smart Home System Menggunakan Raspberry Pi Berbasis Android. Jurnal Teknologi Informasi dan Terapan, Vol. 03, No. 01, Juli-Desember 2016 ISSN:2354-838X. Kusumaningrum, A., Pujiastuti, A., & Zeny, M. (2017). Pemanfaatan Internet Of Things pada Kendali Lampu. Compiler, 6(1). Oktaviyani, E. D., Christina, S., & Ronaldo, D. (2019, December).Keywords Search Correction Using Damerau Levenshtein Distance Algorithm. In Conference SENATIK STT Adisutjipto Yogyakarta (Vol. 5, pp. 167-176). Khosyi'in, M., Nugroho, A. A., & Yulistiyanto, A. (2019, December).Three-Phase Power Data Logger Using IEM 3255 Schneider Module Based OnInternet Of Things (IOT). In Conference SENATIK STT Adisutjipto Yogyakarta(Vol. 5, pp. 263-274). Refbacks There are currently no refbacks.
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