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All Journal Jurnal Informatika dan Rekayasa Elektronik Jurnal Informatika dan Rekayasa Perangkat Lunak JURSIMA (Jurnal Sistem Informasi dan Manajemen) ICIT (Innovative Creative and Information Technology) Journal E-Link: Jurnal Teknik Elektro dan Informatika Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Student Research Jurnal Kendali Akuntansi JURSIMA Jurnal Manajemen Dan Bisnis Ekonomi AMMA : Jurnal Pengabdian Masyarakat Akuntansi: Jurnal Riset Ilmu Akuntansi
agus bahtiar
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Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Nursing Public Health Social Sciences

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Journal : JURSIMA (Jurnal Sistem Informasi dan Manajemen)

 1 
PENERAPAN METODE ALGORITMA K-MEANS DALAM PEMETAAN PESERTA DIKLAT KETERAMPILAN PELAUT DI SMKN 1 MUNDU Sigit Rusmayana; Ahmad Faqih; Agus Bahtiar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.404

Abstract

Abstract Smkn 1 Mundu Cirebon Sailor Skills Training is the only training organizer who is in vocational high school that can conduct BST (Basic Safety Training) training for sailors of IMO (International Maritime Organization) standards. This research aims to identify the origin of the participants of the training, to apply when the time of the training is held, to find out the needs of the certificate of the participants of the training. This research sample was obtained from the data sheet of Smkn 1 Mundu Cirebon Sailor Skills Training where everyone who will work at sea must have a BST (Basic Safety Training) certificate. The research method done by machine learning using the K-Means Algorithm is the simplest and most common clustering method. This is because K-Means has the ability to group large amounts of data with relatively fast and efficient computing times. With the research can be useful for the Institute of Seafaring Skills Training SMKN 1 Mundu Cirebon So that it can be to identify the Origin of The Training Participants from the cirebon, Indramayu, Majalengka, Kuningan, Brebes, Tegal Pemalang, Purwokerto which dominates the participants of the training, as well as the implementation of the most widely carried out training in the period of August, September and December after students are declared first of school and most certificates are taken to work abroad especially on fishing vessels, commercial vessels and cruise ships as well as at offshore drilling refineries. The result of the application of this k-means clustering algorithm results in k = 3 with DBi = 0.547 model clusters produced cluster 0 = 465 items, cluster 1 = 608 items and cluster 2 = 462 items Keywords of at least 3-5 keywords: Sailor Skills Training, BST (Basic Safety Training), K-Means Algorithm
IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK MENUNJANG KEPUTUSAN PERSEDIAN BARANG DI CV INDOTECH JAYA SENTOSA KOTA CIREBON Iman Nurrohmat; Odi Nurdiawan; Agus Bahtiar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.421

Abstract

Indotech Jaya Sentosa is a company engaged in trading in the form of computers and network infrastructure. Currently experiencing problems in managing inventory for its customers. These obstacles include the frequent occurrence of overcapacity in storage warehouses that exceeds the number of requests, even more so in the era of the Covid-19 pandemic. This study aims to provide a solution to the problems at CV Jaya Sentosa, namely by applying a technique or algorithm to support decisions in managing its merchandise inventory. The approach taken is to use a data mining approach involving the FP-Growth algorithm method. FP-Growth Algorithm is a method to find the pattern of relationship between one or more items in a dataset. While the steps taken to the data mining approach include business understanding, data understanding, data preparation, data modeling, data evaluation and deployment. The final result of this research is expected to be able to apply association rules where these rules can be used as a reference in predicting what kind of inventory should be held to facilitate inventory management.
Co-Authors Ade Irma Purnamasari Ade Rizki Rinaldi Ahmad Faqih Aida Safitri AYU LESTARI Aziz Chairul Imam Bagas Al Haddad Bima Anurgraha Djajnegara Chulyatunni’mah Diding Herudin Diding Herudin Dina Audina Edi Tohidi Fadlan Ilyas Lesmana Fahmi Ahmad Tohir Feri Irawan Irawan Fitri Adha Hariyati Airi Gifthera Dwilestari Iman Nurrohmat Indriyani Indriyani Kaslani Madyant Mulyawan Nur Amelia Odi Nurdiawan Rini Rahmawati Sigit Rusmayana SRI WULANDARI Tati Suprapti Tengku Riza Zarzani N Wafiq Azizah