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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JSiI (Jurnal Sistem Informasi) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science JTIK (Jurnal Teknik Informatika Kaputama) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Abdimas ADPI Sains dan Teknologi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Of Computer Science And Technology Journal Of Indonesian Social Society Jurnal Ilmiah Multidisiplin Nusantara Interaksi : Jurnal Pengabdian Kepada Masyarakat Fusion : Journal of Research in Engineering, Technology and Applied Sciences
Havid Syafwan
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
MOORA: Metode Sistem Pendukung Keputusan untuk Menentukan Kelayakan Peminjaman Modal Dana Bergulir Evi Surya Ningsih; Havid Syafwan; Mhd Ihsan
Jurnal Pendidikan Informatika (EDUMATIC) Vol 7 No 1 (2023): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v7i1.12405

Abstract

Koperasi Doni Jaya is one of the savings and loan cooperatives that provides solutions in assisting the provision and for various needs in a fast and easy loan process. However, the loan process takes a long time and must also determine the customer who is eligible to be given the capital loan. The model used to build this system is waterfall with stages of analysis, design, build & testing, and implementation. This research was carried out at the Koperasi Doni Jaya at the Asahan District Education Office. The Analysis phase is carried out to obtain the needs of the system that we developed with the MOORA method. The design phase is carried out to determine the interface design, and flowcharts on this system. Furthermore, the coding and testing stages are carried out to create a system and test using blackbox. Our findings are in the form of a decision support system to determine the feasibility of revolving fund capital lending. The test results show that this system is already running well, and is in accordance with the design, as well as the model applied. With this system, it can help this cooperatives determining eligible and uneligible customers to be given revolving fund capital loans.
Penerapan Metode Weighted Moving Average pada Sistem Peramalan Stok Bahan Laundry Hidayanti, Deni Andria; Syafwan, Havid; Akmal, Akmal
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 1 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i1.25636

Abstract

Information systems are created in stores so that they can easily make data processing well, and can make predictions or forecasts about stocks that will be prepared in future periods. The purpose of this study is to create and produce a stock forecasting system for laundry materials by applying the Weighted Moving Average (WMA) method. This research is a type of development using a waterfall model by conducting stages of needs analysis, design, implementation and testing. The Analysis phase is carried out to identify the needs used to be applied to this forecasting system. The design stages consist of interface design, flowcharts, use cases and entity relationship diagrams. Implementation and testing are carried out directly using black box testing to see the extent of the functionality of the system that has been created. Our findings show that the system we developed is in the form of a web-based laundry material stock forecasting system. This system is also successful in testing using black box testing, all system components are functioning properly. This system is also calculated accordingly, where the results of the Mean Absolute Percentage Error (MAPE) in detergent stocks get a percentage of 10%, or an accuracy rate of 90%. Meanwhile, the fragrance stock obtained a MAPE yield of 7%, with an accuracy rate of 93%.
Co-Authors Abdul Azis Ubaidillah Afdhal Syafnur Akmal Akmal Akmal Akmal Andri Nata Andrinata Andrinata Anisa Bahari Apridonal , Yori Aqli Fatona Ari Arfika Pratiwi Ari Dermawan Bagus Lesmana Cecep Maulana Chitra, Latiffani Cindy Eka Putri Cindy Eka Putri Diana Putri Ramadhani Dinda Pratiwi Effendi, Zulfan Elisa Maysaroh Purba Evi Surya Ningsih Fachri Nur Ramadhan Febri Dristyan Febriyaningsih Siagian Gusrina Surianingsih Handayani, Masitah Harahap, Indra Ramadona Helmiah, Fauriatun Hidayanti, Deni Andria Hylmi Fauzan Nasution Masitah Handayani Mhd. Ihsan Muhammad Ihsan Muhammad Ihsan Mutia Hannisyah Putri Lubis mutiara tiara Nasution, Akmal Nindi Lisnawati Nofriadi Nofriadi Nur Wati Nurkarim Nehe Nurmala Sari Nurwati Nurwati Pristiyanilicia Putri Purnama, Rezeki Putri, Pristiyanilicia Ragil Andika Putra Rahayu, Elly Ramadani, Dilla Riki Andri Yusda Rohminatin Rohminatin Safaria, Sayendra SANTOSO SANTOSO Sapta, Andy Sayendra Safaria Sihite, Ingrid Sartika Putriayu Sri Rezki Maulina Azmi Sutrisman Sutrisman Syafwan, Mahdhivan syahrul, muhammad Tika Christy Wendra, Yumai William Ramdhan Winda Wulandari Yuli Agustina, Yuli Yumai Wendra