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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Riau Journal of Computer Science Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi JISA (Jurnal Informatika dan Sains) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Mejuajua KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Journal of Law, Poliitic and Humanities JOURNAL OF ICT APLICATIONS AND SYSTEM JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) RJOCS (Riau Journal of Computer Science)
Budi Yanto, Budi
Program Studi Teknik Informatika Fakultas Ilmu Komputer Universitas Pasir Pangaraian Jl. Tuanku Tambusai, Kumu Kec. Rambah Hilir Kabupaten Rokan Hulu Telp, 081365929997
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : riau journal of computer science

 1 
ELEKTRONIK PEMBELAJARAN SEMESTER (E-RPS) BERBASIS WEB FAKULTAS ILMU KOMPUTER UNIVERSITAS PASIR PENGARAIAN Yanto, Budi; Sari, Rika Perma
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

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Abstract

The teaching plan is a guideline for the learning process which is then known as the Semester Learning Plan (RPS). Objectives should be clearly formulated to be achieved by the material or material to be taught, teaching and learning activities and tools used, evaluation and reference sources in the form of reading books. In the Faculty of Computer Science in filling out the Semester Learning Plan still using a manual system using Microsoft Word. Each Lecturer must fill in the Semester Learning Plan by typing Semester Learning Plan data according to the course taken on the form already made in Microsoft Word. Therefore, it is necessary to make the application of the Computer Science Learning Plan application. The E-RPS aims to make it easier for lecturers to fill out the Semester Learning Plan. The results of this practical work in the form of a website-based application that can facilitate the lecturer in filling out the Semester Learning Plan and with the lecturer no longer need to explain the contents of the Semester Learning Plan to students, because each student can see or print their own results according to the course what our want
Penerapan Metode Inferensi Fuzzy Takagi Sugeno-Kang Untuk Prediksi Hasil Panen Kelapa Sawit Yanto, Budi; Rouza, Erni; Saputra, Edi
Riau Journal Of Computer Science Vol. 5 No. 2 (2019): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Palm oil is one of the main crops and seeds in Indonesia. In oil palm plantations, oil palm crops are the most important things. Oil palm crops in the right time and quantity are what the farmers want. Therefore, harvest prediction is needed to be used as reference of palm oil harvest target. Determination of harvest targets required a method that is able to predict the yield of oil palm. In this research, built a system of fuzzy inference with TSK method (Takagi Sugeno Kang), which aims to predict the yield of oil palm farmers. The fuzzy rules in the form of IF antecedent THEN are consequent, using consequent linear equations of the input variables. The coefficients of each variable of linear equation are consequently derived based on the expected yield of the harvest. The results of prediction testing of Palm Oil harvest production in 3 seasons, namely Dry Season, Rainy Season, Fertilization, input the number by values of variable with to the given range prove that the fuzzy inference of the TSK method can calculate palm oil crop predictions well.
Co-Authors -, Basorudin Adyanata Lubis Afdol, Pangeran agung setiawan Agus Setiadi, Irhan Aini, Yulfita Akhmad Zulkifli Ali Djamhuri Alifiansyah, Eldi Almadison Alvito Dian Deva Amri, Rafelina Andriani Andriani Anjeli, Riri Arfandi, Zirhan ARIF KURNIAWAN Arif Mukti, Muhammad Ashshiddiqy, Muhammad Arsy Asmen, Faisal B. Herawan Hayadi Bakti, Imam Rangga Bangkit Habiburrohman Basorudin, Basorudin Crisdianto, Ahlul Cut Nayla Husin Dede Fadhillah Dian Rahayu Dimas Sasongko Edi Saputra Eka Putra, Wahyu Enda Ribka Meganta P ENDRI ENDRI Erni Rouza, Erni Erwis, Fauzi Fasha, Ulya Firmansyah Firdaus Fujiawan, Vebry Hasri Ainun Pratiwi Hendri Hendri Hutagaol, Ramses Inal, Inal Intan Siregar Irawan Zai, Feri Iskandar Zulkarnain, Wisnu Jufri -, Jufri Kiki Yasdomi Kridoyono, Agung Kurniawansyah, Dani Listio, Bayu Luth Fimawahib Melani, Tasya Muhammad Arif Muhammad Vikry Sakia Muhammad Wali, Muhammad Nasution, Yandi Ni Putu Nina Eka Lestari Ogidia Bella, Novica Parabi, Faisal Pratama, Rinanda Rizki Putra, Wahyu Eka Rahmad Rusli, Miltri Rahmadani, Dwi Rahman, Ripatullah Ramadani, Hendrizal Refni, Nurmia Riski Mai Candra Sabri, Khairul Samsul Bahri Sari, Rika Perma Sastra, Amner Satria Riki Mustafa, Satria Riki Sholehatun, Euis Silvia Wulandari, Silvia Siregar, Intan Sudaryanto, Aris Sulastri, Ika Supriyanto, Asep Syahroni Syarif Hasyim Zahara Zalzabila, Dea