Article Per Year (5 Year)
p-Index From 2021 - 2026
3.99
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Media Computer Science Jurnal Dehasen Mengabdi Jurnal Komputer Indonesia Jurnal Semarak Mengabdi Jurnal Komputer Jurnal Karya Nyata Pengabdian
Prahasti, Prahasti
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Pengelompokan Data Penduduk Di Desa Penembang Menggunakan Algoritma K-Means Clustering Untuk Program Bantuan Sosial Santosa, Artha Dwika; Sari, Herlina Latipa; Prahasti, Prahasti
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.11031

Abstract

Population data clustering in Penembang Village using K-Means Clustering Algorithm-Means Clustering can help manage population data in Penembang Village, particularly in relation to social assistance. It can provide information on the results of population data grouping, which has been divided into two clusters, namely Cluster C1 (in dire need of assistance) and Cluster C2 (not in need of assistance). It can also help Penembang Village Office in determining the priority of residents who are in dire need of assistance so that social assistance programs are targeted appropriately. The desktop-based population data clustering application uses the Visual Basic.Net programming language with SQL Server database. Based on tests conducted using data from 12.5% of the total 241 households in 2024, namely 30 households, the results show that the group in dire need of assistance (Cluster C1) consists of 12 households with a percentage of 40%, and the group that does not need assistance (Cluster C2) consists of 18 households with a percentage of 60%. Based on testing of the program demo in Penembang Village Office, it is found that the population data grouping application is very easy to operate and very helpful in obtaining population data clustering information, thereby supporting the decision-making process in determining social assistance recipients in Penembang Village Office.
Aplikasi Pelayanan Antrian Pasien Menggunakan Metode FCFS Menggunakan PHP dan MySQL Prahasti, Prahasti; Sapri, Sapri; Utami, Feri Hari
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i1.2176

Abstract

Tujuan penelitian ini adalah menghasilkan aplikasi pelayanan antrian pasien dengan menggunakan metode First-Come-First-Served dengan bahasa pemrograman PHP dan database MySQL. Puskesmas Pasar Ikan merupakan salah satu puskesmas milik Pemerintah Kota Bengkulu. Dalam melaksanakan pelayanan terhadap pasien yang akan berobat, puskesmas Pasar Ikan belum memanfaatkan teknologi komputerisasi dalam memberikan pelayanan antrian. Sementara saat ini pelayana yang baik sangat diharapkan oleh pasien sehingga pasien merasa nyaman dan senang akan pelayanan yang optimal dari puskesmas. Metode yang digunakan dalam pembuatan aplikasi ini adalah metode waterfall. Sementara itu proses pengentrian data yang dilakukan terdiri data poli, data antrian, data pasien dan data pendaftaran pasien. Laporan yang ditampilkan berupa laporan antrian pasien berdasarkan tanggal antrian. Hasil Aplikasi antrian pelayanan diharapkan mampu meningkatkan pelayanan puskesmas Pasar Ikan Bengkulu menjadi lebih optimal dengan semakin tertibnya pasien dalam melakukan antrian selama berobat di puskesmas Pasar Ikan Kota Bengkulu
Co-Authors Alestri, Silla Andalah, Haluan Saputra Andriansyah Andriansyah Apriansyah, Ofta Prastiyo Aprianto . Asnawati Asnawati Astuti, Novi Atmojo, Panji Dwi Bendrianti, Rita Prima Bendy, Muhammad Beti , Ila Yati Br.Nambela, Maria Agustina Damayanti, Sayka Deti Karmanita Dialyu, Endrix Eko Suryana Erwansyah, Riska Feri Hari Utami, Feri Hari Gultom, Victor Yonathan Handika, Elsi Harwini, Dewi Herlina Latipa Sari Indra Kanedi Jayawarsa, A.A. Ketut Jusuf Wahyudi Karona Cahya Susena kurniawan, aditya dwi Leni Natalia Zulita Liza Yulianti Mardiana, Yessi Mashaq, Ferdynan Meizoni, Putra Nopriansyah, Agung Ockhy Jey Fhiter Wassalam Qurniati, Nofi Ramadani, Sabita Ronaldi, Ronaldi Rossa, Helvi Ramadhanti Santosa, Artha Dwika sapri sapri Sari, Venny Novita Sriyanto Sriyanto Supardi, Reno Thomas Meifialdy Yupianti , Yupianti