Article Per Year (5 Year)
p-Index From 2020 - 2025
1.152
P-Index
This Author published in this journals
All Journal Jurnal Inspiration Celebes Computer Science Journal Jurnal Abdidas Jurnal J-PEMAS Journal of Natural Science and Technology Adpertisi: Bidang Sains dan Teknologi
Suryadi Syamsu
STMIK AKBA
Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Health Professions Mathematics Public Health Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Celebes Computer Science Journal

 1 
Sistem Presensi Karyawan dengan Pemanfaatan Teknologi Geotagging pada PT. Swadaya Makassar (Perusahan Outsourcing Cleaning Service) Suryadi Syamsu
Celebes Computer Science Journal Vol 2 No 1 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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

Abstract

This study aims to create a system that is able to report on the daily attendance of employees. The model chosen was in the form of attendance reporting and attendance home via smartphone.This system can automatically record and record attendance for a month which includes attendance, permission, illness or negligence. This method also makes it easy for companies to find information about cleaning service workers with detailed attendance and return and can make reports easily. The research method used is the use of the concept of geotagging by attaching coordinates to the details of an object image. The database used in this application is MySQL.In this study, a web-based employee attendance application is designed using a geographic information system to display the coordinates of the presence of employees who attend attendance and return attendance. In this way it is not possible for employees to attend but not in the workplace location because there is a supervisior in every company that controls attendance.
Sistem Informasi Pencocokan Data Pemilih Berbasis Web Pada Kantor KPUD Kabupaten Pangkep Suryadi Syamsu
Celebes Computer Science Journal Vol 3 No 1 (2021): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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

Abstract

There is still inaccurate voter data such as duplicate data, underage and inefficient recapitulation processes. The aims of the study was to reduce inaccurate voter data and to streamline the time of the recapitulation process. The proposed system is a web-based voter data matching system in Pangkep Regency KPUD office. The data was obtained through (1) Field Research, (2) interviews.The research method used is the profile matching method on voter data. The testing technique uses a black box and a questionnaire. The results of the study indicate that thebased voter data matching system at the KPUD Pangkep Regency Office web produces accurate voter data, streamlines the time of the recapitulation process.
Co-Authors Agus Halid Andi Yulia Muniar Andryanto A Asrul Bakry Butsiarah Mashud, Mashud Muhajirin, Muhajirin Muhammad Resha Neneng Awaliah Nur Alisa Nurfaizah Nurfaizah Nyoman Suta Wijaya Rahmatia Rahmatia Ramlah P