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All Journal Jurnal Media Infotama Jurnal Pseudocode Journal of Information Technology and Computer Science (JOINTECS) JMM (Jurnal Masyarakat Mandiri) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Jurnal Komputer, Informasi dan Teknologi Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Media Computer Science Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi The Indonesian Journal of Computer Science Jurnal Komputer
Abdussalam Al Akbar
Universitas Dehasen Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Journal : The Indonesian Journal of Computer Science

 1 
Implementasi Sistem Pendukung Keputusan Menggunakan Algoritma MOORA untuk Pemilihan Jenis Bibit Cabai Unggul Al Akbar, Abdussalam; Yasin, Alimuddin; Alex Rizky Saputra; Sepriano; Siregar, Ratu Mutiara; Budy Satria; Elfitra
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3464

Abstract

Cultivating chili plants is a business opportunity that has quite a large income. However, many farmers still use traditional concepts in determining which seeds to plant, such as trying out chili seeds without carrying out in-depth analysis or observation. A decision support system (DSS) is a system that is capable of providing decision recommendations using several criteria determined through method processes in the decision making system, namely ARAS, SAW, MOORA, AHP and others. The MOORA method is useful for separating the subjective part of an evaluation process into a decision weight criterion with several decision making attributes. And also the level of selectivity of this method is very good because it can determine objectives from conflicting criteria. Where the criteria can be profitable (benefit) or unprofitable (cost). Based on the results obtained after using the MOORA calculation method, there are 4 types of superior seed varieties that can be recommended for farmers, namely Taro Chili Seeds = 0.2875; Indrapura Chili Seeds = 0.2595 ; Lado Chili Seeds = 0.2490 ; Chili Seeds TM = 0.2154. By creating this decision support system, it is hoped that farmers will be able to use it as a reference in selecting superior chili seeds and be able to get maximum harvest results and increase commodity income for chili farmers.
Penerapan Composite Performance Index (CPI) Sebagai Metode Pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Satria, Budy; Sidauruk, Acihmah; Wardhana, Raditya; Al Akbar, Abdussalam; Ihsan, M. Arinal
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3056

Abstract

The selection process for scholarship recipients in higher education requires a measurable system. The problem that has been happening is that the procedures carried out by the scholarship provider still use a manual file examination system. Composite performance index is the method used in this study. The purpose of this study is to create a decision support system for the selection of scholarship recipients to be more systematic and time efficient in the process. There are 10 alternatives and 4 criteria, namely parental income, GPA, electricity usage ,and semesters. The results of this study were obtained 5 highest values are A7 t with a value of 235.00 rank 1, A4 with a value of 200.00 rank 2, A1 with a value of 134.14 rank 3 sequences, A5 with a value of 120.00 ranks 4, and A8 with a value of 91.67 sequences 5.
Co-Authors Acihmah Sidauruk Al-Hidayat Jambak Alex Rizky Saputra Alimuddin Yasin Anggiat Faisal Panjaitan Anisa Dewi Sahara Aripilahi, Edwin Budy Satria Candra Wijaya, Candra Deaz, Natali Mevian Dewi Suranti Edy Hermansyah Efitra Efitra Elfitra Farhan, Farhan Suryadicka Gustian Febri Syah Putra Hari Aspriyono Hari Aspriyono Hendri Alamsyah Ihsan, M. Arinal Ila Yati Beti Insani, Puteri Puji Juju Jumadi Juju Jumadi Juju Jumadi Jumadi , Juju Kanedi , Indra Karneli, Septi Khairil Khairil Khairil Khairil Lena Elfianty Leni Natalia Zulita Lianda, Deri Liza Yulianti LM Fajar Israwan, LM Fajar M Dicky Imansyah M. Arinal Ihsan Mariani, Olvi Maryaningsih Maryaningsih Miki Andika Mukrozi, Ikhsan Tri Mutiara Octa Sari Panjaitan, Anggiat Faisal Paw, M. Reyza Putra Raden Diky Zailani Raditya Wardhana Rahmadhan, Ihsan Ratu Mutiara Siregar Reno Supardi Reno Supardi Riska - Riska Riska Rivaldo, Ahmad sapri sapri Sapri Sapri Sapri Sapri Saputra, Ripo Sepriano Sepriano Supardi, Reno Tarsani, Tarsani Try Setia Budi Wardhana, Raditya Yupianti Yupianti