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All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) JMM (Jurnal Masyarakat Mandiri) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik dan Informatika Building of Informatics, Technology and Science Jurnal Pengabdian Al-Ikhlas Jurnal Teknologi Dan Sistem Informasi Bisnis Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems INFOKUM Journal Zetroem RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Minfo Polgan (JMP) Journal of Information Systems and Technology Research Jurnal Nasional Teknologi Komputer KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Jurnal Manajemen Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Testing dan Implementasi Sistem Informasi Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Journal of Electrical Engineering Research Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu International Journal of Applied Science and Technology Application
Chairul Rizal
Sains Dan Teknologi, Sistem Komputer, Universitas Pembangunan Panca Budi
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Journal : building of informatics technology and science

 1 
Sistem Pendukung Keputusan Pemilihan Biji Kopi Arabika Terbaik Menggunakan Metode SMART Supiyandi Supiyandi; Chairul Rizal; Muhammad Noor Hasan Siregar; Eka Putra; Rusmin Saragih
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2118

Abstract

Arabica coffee beans are one of the main varieties of coffee beans developed in Indonesia. In making decisions to determine quality Arabica coffee beans, an appropriate system is needed to analyze problems in solving and efficient and accurate data presentation. Therefore, a computer-based system or method is needed to facilitate the selection of the best Arabica coffee beans. This study uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method to solve the problem of choosing a multi-objective choice among several criteria, so that later it will be able to produce an effective and efficient analysis. The input criteria that are the priority in selecting the best Arabica coffee beans are aroma with a weight of 25, color with a weight of 25, taste with a weight of 25, dirt content with a weight of 15, and price with a weight of 10. Of the 25 alternatives tested in this system, Gayo Avatara Natural Arabica coffee beans were the best first alternative, followed by Aceh Gayo Wet Hull, Java Ijen Natural, Java Ijen Honey, and Kintamani Natural. This decision support system for selecting the best Arabica coffee beans provides speed, accuracy, and data accuracy in selecting the best Arabica coffee beans which will be used by coffee lovers to provide coffee with a delicious taste. So the results of the decision from 25 types of Arabica coffee, there are 11 types of Arabica coffee with a rating of "Very Good", 10 types of Arabica coffee with a rating of "Good", and 4 types of Arabica coffee with a rating of "Quite Good".
Penerapan Metode Weighted Product (WP) Dalam Keputusan Rekomendasi Pemilihan Manager Penjualan Rizal, Chairul; Siregar, Saidi Ramadan; Supiyandi, Supiyandi; Armasari, Selly; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.679 KB) | DOI: 10.47065/bits.v3i3.1094

Abstract

The best employees are very important assets for the company, because of that sales companies need a system that can choose the best employees objectively and optimally so that they are right in choosing the best employees who will have an impact on the progress of the company. To be able to solve the problem the author conducted research using a Decision Support System using the Weighted Product (WP) method. The WP method is part of the Multiple Attribute Decision Making (MADM), which requires a normalization process to be calculated. This method in detail calculates the weight of the value of each criterion. The final result of the research shows that the 10th alternative (A10) with a Preference Value of 0.1120 was chosen to be the best employee recommended in the selection of sales manager
Sistem Pendukung Keputusan Menentukan Kualitas Ayam Petelur Menggunakan Metode Simple Additive Weighting Supiyandi, Supiyandi; Hariyanto, Eko; Rizal, Chairul; Zen, Muhammad; Pasaribu, Saddam Husen Romadon
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.661 KB) | DOI: 10.47065/bits.v4i1.1627

Abstract

Determining the selection of quality laying hens is a decision that must be carried out so that production results will increase and the quality of the eggs produced, there are lots of criteria that must be owned for the complexity and importance of the problem requiring analytical methods rather than intuitive decisions. as a condition for obtaining the scholarship. Each laying hens must have criteria to determine the quality of laying hens. Decision Support System Determining the Quality of Laying Hens with the Simple Additive Weighting (SAW) Method is an element that greatly influences the smooth running of the task. The division in this study will be appointed a case, namely looking for the best alternative based on predetermined criteria using the SAW (Simple Additive) method. Weighting) The research was conducted by finding the weight value for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely the best quality laying hens.
Co-Authors , Eka Putra AA Sudharmawan, AA Abdul Karim Adityia Rama Sanjaya Adnan Buyung Nst Ahir Yugo Nugroho Harahap Ahmad Akbar Akhmad Fakhruddin Nasution Amalia Syahfitri Amin, Muhammad Arief Wibowo Armasari, Selly Barany Fachri Bhirawa Atha Bassni Erano Chatarina Umbul Wahyuni Cindy Hartika Dedi Purwanto, Dedi Deni Apriadi Efendi, Irman Eka Pandu Cynthia Eka Putra Eka, Muhammad Eko Hariyanto Eko Hariyanto Elisa Erni Marlina Saari Erni Marlina Saari Esa Surya Anggraini Fachri, Barany Fery Anugrah Fitri Wulandari Fitri Wulandari Hadi Nasbey Hafizh Sallam Halin Khoirot Sipahutar Harahap, Charles Bronson HARDIANTO - Hendry Hendry . Hendry Hendry Herdianto Herdianto Heri Kurniawan, Heri Hermansyah Hermansyah Husni Mubarak Ilka Zufria Inneke Nugroho Hasibuan Irwan Irwan Irwan Irwan Irwan Jelita Purwanti Khairunnisa Khairunnisa Latipah Leni Marlina Leni Marlina Lestari, Yuyun Dwi Lili Asisura LINDA WAHYUNI M Arif Panji Wibowo Maria Stefanova Br Manik, Icha Mayasari, Nova Mochammad Imron Awalludin Muhammad Amin Muhammad Aprilsyah Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Hasanuddin Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Israr Fathoni Muhammad Noor Hasan Siregar Muhammad Rindhu Samora Hutagalung Muhammad Syahputra Novelan Muhammad Taufiq Rustam Muhammad Zen Muhammad Zen, Muhammad Munadi Munadi Muslem R, Imam Nadya Faradilla Syafi’i Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Nova Mayasari Nur Laila nuranisah nuranisah Oktavian Putra Kurniawan Pasaribu, Saddam Husen Romadon Patrialman Haryadi Poppy Nabilla Putra, Randi Rian Rachmat Aulia Rahman, Sayuti Raihan Novalda Zhafira Ranti Eka Putri Reza Andika Rian Farta Wijaya Ricky Ramadhan Harahap Rika Rosnelly, Rika Risko Liza Rismayanti Rismayanti Rusli Halil Nasution Rusmin Saragih, Rusmin Saari, Erni Marlina Binti Saidi Ramadan Siregar Sanjaya, Dian Sari, Rita Novi Silvia Kartika Siregar, Habibie Fahlevy Sitha, Nur Syifa'u Siti Khodijah Suherman, Endang Supiyandi Supiyandi Surya Ardi Pradana Syamsiar, Syamsiar Syamsul Arifin Tambunan, M. Johan Pratama Tasya Maulariqa Insani Teddy Prasetyo Tirta, Deazei Ucmariance Wahyu Kurniawan Wahyuni, Linda Wirayuda, Satria Wizra Aulia Yusma, Yanti Yusuf Ramadhan Nasution Zen, Muhammad Ziky, Ziky Zulham Zulham