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Journal : jupiter

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.
Perancangan sistem informasi berbasis web Pada Rumah Sakit Muhammadiyah Palembang Muhammad Ihsan; Zulhipni Reno Saputra; Jimmie
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-c (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5047/5.jupiter.2022.10

Abstract

There must be changes made to the system being used in order for it to be more effective and efficient if we are to increase the level of quality health care for the common people. Collection of data is crucial for the society as a whole's health care system. With the presence of information retrieval, certain information can be uncovered to support a process of public health care that can address any need for public health information. As the sole facility for providing healthcare services, Muhammadiah Palembang C type Hospital is located on Jl. A. Yani 13 in the nearby village of Ulu II in the city of Palembang. The system's performance in maintaining outpatient patient in Muhammadiyah Hospital Palembang is less than optimal because outpatient data is still collected manually. Many problems that people face in their homes include problems with input, data expansion, and the occurrence of duplicate patient files, making data processing less effective and efficient. This can hinder the course of reports and smoothness in terms of service to patients. Because of this issue, it is necessary to develop a software application that can assist sick households, specifically in the administration of raw land, as well as in the reduction of costs associated with raw land, as well as in providing convenience in obtaining relevant, accurate, and timely information.
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.