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All Journal Jurnal Informatika Proceeding International Conference on Information Technology and Business Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Prosiding Seminar Nasional Darmajaya JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Tekno Kompak Jurnal Ilmu Komputer dan Bisnis Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Applied Science, Engineering and Technology (J. ASET) Jurnal Informatika Software dan Network (JISN) Prosiding Seminar Riset Mahasiswa MDP Student Conference Jurnal Teknologi Informasi Mura Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science)
Efendi, Dwi Marisa
STMIK DIAN CIPTA CENDIKIA KOTABUMI
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

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APPLICATION OF DATA MINING FOR CLUSTERING THE USE OF TRACTOR VEHICLE SPAREPART UNITS USING THE K-MEANS ALGORITHM Satriawan, Anggi Dwi; Rustam, Rustam; Nurmayanti, Nurmayanti; Mintoro, Sigit; Supriyanto, Supriyanto; Efendi, Dwi Marisa
IJISCS (International Journal of Information System and Computer Science) Vol 9, No 1 (2025): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v9i1.1738

Abstract

Inefficient management of tractor spare parts inventory can lead to high storage costs and operational downtime. This issue demands effective calculations to group spare parts based on usage patterns and procurement time. This research aims to apply data mining techniques to cluster tractor spare parts usage using the k-means algorithm to optimize inventory management. The methodology used involves data on spare parts usage over two years, which is then processed using the k-means algorithm to form several clusters based on usage frequency and lead time. This algorithm groups spare parts into clusters that minimize within-cluster variance and maximize between-cluster variance. The formed clusters are interpreted to determine the level of importance of the spare parts and their implications for inventory management strategies. The expected result is the identification of five main clusters grouping spare parts based on usage patterns with very high, medium, and low usage, as well as different lead time variations. These findings are expected to provide important insights for developing more efficient stock management strategies, reducing inventory costs, and increasing the availability of spare parts that match the operational needs of tractors, thus supporting overall efficiency in spare parts usage
WEB-BASED SCHOOL INFORMATION SYSTEM (CASE STUDY OF PRIVATE HIGH SCHOOL PGRI 1 KOTABUMI LAMPUNG UTARA) Pratama, Iqnatian Aidil; Afandi, Asep; Efendi, Dwi Marisa
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1522

Abstract

The process of conveying information that is currently running, often encounters obstacles, administrative staff at SMAS PGRI 1 Kotabumi often experience difficulties, such as difficulties in the process of delivering information to students and the public. Other impacts of the current system are administrative staff often experience data loss. because the data storage media still uses ledgers and computer hard disks. Thus a web-based school information system was built at SMAS PGRI using the extrame programming method which can be used as a medium for conveying information to students and teachers. Based on the school information system trial, it produces an information system that can be used to convey information between the school and students and teachers
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BEASISWA MENGGUNAKAN METODE COMPERATIVE PERFORMANCE INDEX Kurniawati, Kurniawati; Efendi, Dwi Marisa; Rustam, Rustam
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

program beasiswa dapat membantu dan meringankan beban biaya agar bisa lebih produktif . STMIK DCC Kotabumi mengadakan program beasiswa tidak mampu. STMIK DCC Kotabumi menggunakan Sistem Pendukung Keputusan Pemberian Beasiswa Tidak Mampu menggunakan metode CPI. untuk metode pengembangan menggunakan metode Sistem Development Life Cyrcle (SDLC) penelitian ini menggunakan 6 kriteria.Itu adalah Pekerjaan Orang tua Penghasilan orng tua, tanggungan orng tua, mahasiswa aktif , IPK, Bukti Keterangan tidak mampu Hasil dari penelitian adalah muhamad yogi dengan nilai 250,Kata Ikunci—3-5 Ikata Ikunci, ISistem,beasiswa,kriteria, Imetode
Co-Authors Abdullah Umar Faqih Al Ikhsani Afandi, Asep Agusto, Rio Annisa Rismanitanti David Nurhidayatullah Deny Firmansyah Kurniawan Desri Arisandi Dewi Santi Dwi Sartika, Dwi Faselia, Reni Ferly Ardhy Iin Septiana Joni Darsyah Kurniawati . Kurniawati Kurniawati Laita, Vera April Lubis, Sani Hanika Maulana, Fazri Mawarni, Rima Mawarni, Rima Mintoro, Sigit Mitha Franciska Muhammad Bayu Ngajiyanto, Ngajiyanto Novita Novita Nur Aminudin Nurmayanti Nurmayanti Nurmayanti, Nurmayanti Pakarti Riswanto Pramudika, Tuta Arya Prania, Dona Pratama, Iqnatian Aidil Rahmatullah, Sidik Ramto Patama Riski Oskar Pratama Riswanto, Pakarti Romadon Romadon Rustam Rustam Rustam Rustam Satriawan, Anggi Dwi SRI LESTARI Sulis Nurbaiti Supriyanto . Supriyanto Supriyanto Suryadi, Lusi Teguh Priyono Verawati Waspah, Aik Isnayah