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All Journal Prosiding Seminar Nasional Teknoka EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA JMM (Jurnal Masyarakat Mandiri) Minda Baharu Jurnal Informatika dan Rekayasa Perangkat Lunak JURSIMA (Jurnal Sistem Informasi dan Manajemen) Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Innovation Research and Knowledge Journal of Digital Learning and Distance Education Asian Journal of Management Analytics Literasi: Jurnal Pengabdian Masyarakat dan Inovasi JURSIMA TechLINK: Jurnal Ilmiah Lingkungan Jurnal Satya Informatika Journal Neosantara Hybrid Learning Salus Publica SmartComp Jurnal Sistem Informasi dan Manajemen JAR'S (Journal of Advanced Research in Informatics) International Journal of Technology and Education Research Jurnal Pelayanan Masyarakat Welfare: Jurnal Pengabdian Masyarakat Journal of Engineering Education and Pedagogy (JEEP) ALMURTADO: Journal of Social Innovation and Community Service Jurnal Pendidikan Dewantara
Alwendi, Alwendi
Jurusan Ilmu Komputer Universitas Graha Nusantara Padangsidimpuan, Indonesia.
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

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Journal : JURSIMA

 1 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TOKO HANDPHONE TERBAIK DI KOTA PADANGSIDIMPUAN MENGGUNAKAN METODE ORESTE Alwendi Alwendi; Dasril Aldo
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 8 No 1 (2020): Jursima Vol. 8 No. 1, Juni Tahun 2020
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v8i1.190

Abstract

This research will discuss about the selection of the best mobile shops in the city of Padangsidimpuan. This research was conducted to find out the best mobile shop in the city of Padangsidimpuangiven to consumers through a Questionnaire. This study uses a Decision Support System with the Oreste method. The Oreste Method is one of the Decision Support System methods supported by Besson Ranking, which is the priority scale of each criterion indicator. The data used as an alternative is the data of cellphone shops in Padangsidimpuanwith a sample of 5 stores with 5 criteria, namely Price, Quality on Cellphones, Services, Consumer Attraction and Store Locations. The mount phase that is carried out in selecting a cell phone shop starts with analyzing the system that is done at the cellphone shop, then from the results of the analysis carried out weighting criteria at the cellphone shop, then carried out alternative weighting at the cell phone shop. After that the process of ranking the weight of alternative handphone shops is carried out. Based on alternative data and criteria using the Oreste method, it can be concluded that the best mobile shop is the Happy Cellular Shop with a Preference Value of Distance Score Value of 5.3556. Smaller than the other 4 stores.
Metode Case Based Reasoning Untuk Identifikasi Penyakit Tanaman Padi Yumai Wendra; Alwendi Alwendi; Ardi Ardi; Dasril Aldo
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 8 No 2 (2020): Jursima Vol. 8 No. 2, Desember Tahun 2020
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v8i2.220

Abstract

After wheat and maize, rice (Oryza sativa L.) is a very important food crop in the world. Rice is a rice-producing crop and is a very important food crop. Most of the world's population, especially in Asia, is still used as a staple food. During the cultivation process, many rice plants are susceptible to disease and pest attacks, including: leaf blight, tongguo grass, rice bursts, and dwarf grass. Generally, when rice plants are attacked by diseases and pests, farmers use pesticides directly or by means of countermeasures which are sometimes not suitable for diseases and pests that are infected in rice plants. As a result, prevention is not optimal and can even cause new diseases and pests. Assisting farmers in identifying early symptoms of plant diseases and rice pests, so that treatment of plant diseases and insect pests is more concentrated and maximally is the aim of this study. The processed data were 4 pests and diseases which were processed using case-based reasoning. This method will diagnose the types of rice and insect pests and its treatment steps with an accuracy of 95%. Therefore, this method is suitable for the diagnosis of rice disease. 
Co-Authors Adiguzel, Tufan Andi Saputa Mandopa Andi Saputra Mandopa Andi Saputra Mandopa Ardi Ardi Ardi Ardi Budiarti, Lela Dasril Aldo Eni Sumanti Nasution Erwina Azizah Hasibuan, Erwina Azizah Fauziah Nasution Gultom, Fita Delia Indra, Hamdi Khairunnisa Samosir Lela Budiarti Lubis, Fitri Romaito Mandopa, Andi Saputa mandopa, andi saputra Mandopa, Andi Saputra Mandopa Nurkhasanah Rina Puspita Samosir, Khairunnisa Saputra Mandopa, Andi Siregar, Martua Siregar, Yasser Arafat Wendra, Yumai Yumai Wendra Yuni Rhamayanti Yusra Ramza