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All Journal Jupiter Digital Transformation Technology (Digitech) International Journal Cister Jurnal Cakrawala Akademika
Jimmie
Universitas Muhammadiyah Palembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Journal : Jupiter

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Pengembangan Sistem Penggajian Berbasis Client Server Zulhipni Reno Saputra Elsi; Jimmie; Sri Primaini; Hartini
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4642/5.jupiter.2022.04

Abstract

The payroll system is very necessary for every company, because every month the company has to pay its obligations to employees, PT. Bintang Gasing Persada has experienced problems in the payroll process, so a client server-based payroll system is needed. The system developed using the waterfall method which has 4 stages of analysis, design, coding and testing, the system was developed using the MySQL database and using the PHP programming language. This payroll system has functions of save, delete, update, automatic reports so that the use process is because the system is user friendly and the processing of employee salaries is more effective.
Implementasi Clustering K-Means Terhadap Pemilihan Konsentrasi Mahasiswa Menggunakan Bahasa R Jimmie; Zulhipni Reno Saputra Elsi; Dedi Haryanto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-b (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5098/5.jupiter.2022.10

Abstract

Some students in choosing concentration are like friends who don't pay attention to their abilities in that field. It is hoped that this research will form a concentration clustering pattern that is in accordance with the interests and abilities of the students. This grouping information in the selection of student concentration becomes one of the most important information, to get this information is to use the concept of data mining. Data mining is grouped based on the tasks performed, one of which is clustering. Clustering is the process of partitioning a set of data objects into subsets. The K-Means algorithm is a method for grouping objects into a number of K clusters.
Co-Authors Aisya Idah Triputri Paskalita Ardiamsah Dedi Haryanto Faizah Atirah Hartini Karnadi Moehammad Irfansyah Riska Yuniza Sri Primaini Zulhipni Reno Saputra Els