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All Journal Nuansa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Informatics Management and Information Technology J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal ABDIMAS Budi Darma Bulletin of Data Science Jurnal Pengabdian Masyarakat Gemilang (JPMG)
Garuda Ginting
Universitas Budi Darma , Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Penerapan Complex Proportional Assessment (COPRAS) Dalam Penentuan Kepolisian Sektor Terbaik Ginting, Garuda; Alvita, Suha; Mesran, M; Karim, Abdul; Syahrizal, Muhammad; Daulay, Nelly Khairani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.927 KB) | DOI: 10.30645/j-sakti.v4i2.254

Abstract

In determining the best Sector Police, many criteria must be had by every Sector Police to be the best. Some of the criteria used to determine the best Sector Police are Polsek services, completion of the crime, number of personnel, cleanliness of the Sectoral Police, and number of criminal acts. Determination of the best Sector Police to improve the performance of personnel so that they are encouraged to be better at doing their jobs than before. To avoid mistakes and be precise in determining the best Police Sector, a decision support system is needed. In this study, a case will be raised, namely finding the best alternative based on the existing criteria using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is used to analyze different alternatives and estimate alternatives according to the level of utility where the values of the attributes are expressed in intervals to increase efficiency and increase accuracy in the decision-making process.
Sistem Pendukung Keputusan Pemilihan Apoteker Terbaik Pada PT. Kimia Farma (Persero) Tbk Medan Menerapkan Metode Vikor Ardi Kusuma; Garuda Ginting
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2163

Abstract

Pharmacists are professional workers who have basic education and skills in the field of pharmacy and are given the authority and responsibility to carry out pharmaceutical work. In the pharmaceutical industry, both those that have been operating and are about to be established, there must be at least 3 (three) Indonesian pharmacists. Decision Support System (SPK) has the aim of providing predictions, providing information and directing information users to be able to make decisions more effectively. Decision Support System (SPK) applications use a flexible, interactive and adaptable CBIS (Computer Based Information System) that was developed to support solutions to specific unstructured management problems. The VIKOR method is used to overcome the problem of complex multi-criteria systems that focus on ranking and selection of alternatives. The first proposed procedure calculates the ideal and negative solutions by considering the criteria and weights of each alternative, and the corresponding utility.
Penerapan Data Mining Dalam Meningkatkan Mutu Perawatan dan Perbaikan Perlengkapan Alat-Alat Kapal Laut Menerapkan Metode K-Means Clustering Yulifa Esfana Putri Sinaga; Garuda Ginting; Melda Panjaitan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 3 (2021): Mei 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2626

Abstract

This study aims to propose in carrying out sailing activities on the KN. Arcturus ship every week, so that maintenance and maintenance activities need to be carried out properly and scheduled so as not to interfere with ongoing production activities. The current machine breakdown is still relatively high and requires a long repair time, what is proposed is preventive maintenance using the Clustering technique. The method used is K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, based on the similarity of these data, so that data that has the same characteristics are grouped into one cluster and those that have different characteristics are grouped into another cluster. We can use the abundance of data to find hidden information from these data. In order to find out the hidden information from these data, it is necessary to process the data. The data processing process is also known as data mining. With this grouping it will know the results of the analyzed data.
Co-Authors Abdul Karim Akmal Dirgantara Lubis Ardi Kusuma Azmi, Dinda Tamara Barus, Handayani Bobby Syahputra Dalimunthe Bowo, Ade Tri Citono Harahap Darno Willfrid Midukta Simamora Daulay, Nelly Khairani Delvi Syahfitri Fadlina Fadlina Fadlina Ikwan Lubis Juanda Hakim Lubis Kartini, Dian Wahyuni Khairul Abdi Dongoran Kurnia Ulfa Kusuma, Ardi Lubis, Nurhamidah Marbun, Fika Liana Martua Panggabean Melda Panjaitan Mesran, Mesran Muhammad Rizki Muhammad Syahrizal Natalia Silalahi Ndururu, Eferoni Nelly Astuti Hasibuan Nur Ahmad Indaka Nuraida Br Ginting Retnowati Sitanggang Rumputra Rumputra Saidi Ramadan Siregar Setiawati Boru Damanik Sindi Sekar Sari Siska Subuh Hati Tarigan Sitanggang, Retnowati Suha Alvita Sumiaty Hutabarat Taronisokhi Zebua Yasir Hasan Yessika Floriana Manalu Yulifa Esfana Putri Sinaga Zahri Hubby Ramadhani