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Journal : Jupiter

Optimalisasi Sistem Penjadwalan Mata Kuliah Jurusan Bahasa Inggris Menggunakan Algoritma Genetika (Studi Kasus Politeknik Negeri Sriwijaya) Siska Dwi Kristanti; Rasmila
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4862/5.jupiter.2022.10

Abstract

Scheduling courses is a problem that must be faced at every turn of the semester in every academic year at a university. The main problem is how to combine class, time, space, and teaching lecturers so that there are no clashes with each other. Currently, the English Department of the Sriwijaya State Polytechnic does not yet have a computerized scheduling system, so the scheduling process is still not effective and takes a long time. Based on these problems, an appropriate algorithm is needed, namely the genetic algorithm because it can shorten the time of making schedules and overcome schedule conflicts so that scheduling is more optimal. Specific rules in the genetic algorithm include population formation, individual fitness value calculations, selection calculations, crossbreeding processes, mutation processes and generation updates. The development method used is the RUP system. The programming language used is PHP and the database uses MySQL. The expected result of this research is an optimal course schedule and there are no clashes between courses, between lecturers, hours and time of lectures.
Efektivitas Aplikasi PEKA Online Sebagai Media Pendukung Terciptanya Kerja Aman di PT. PGE Area Lumut Balai Tiara oktafiani; Muhammad Nasir; Hadi Syaputra; Rasmila
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1b (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5520/15.jupiter.2023.04

Abstract

This study discusses the effectiveness of the PEKA Online application as a Supporting Media for the Creation of Safe Work at PT. PGE Lumut Balai Area. This study aims to determine the success of the application of PEKA Online as a Supporting Media for the Creation of a Safe Work Environment. Efforts to prevent work accidents have been carried out by participating in several OSH trainings, but there is still no awareness of workers about the importance of working safely in a work environment. Problems at PT. PGE Lumut Balai Area in the form of unsafe worker behavior such as lack of information and skills so that they fail to implement interventions, safeguard the work environment, and identify hazards. The use of PEKA Online as one of the official work accident prevention efforts will be carried out in 2021. This research was conducted using descriptive qualitative and quantitative approaches. Data was collected through interviewing resource persons, filling out questionnaires, observing the work environment, and documenting the PEKA Online application. The theory used in this study uses the D&M information system success model created by De Lone and Mc Lean. This study uses six indicators of success, namely system quality, information quality, service quality, intensity of application use, user satisfaction and net benefits. The collection of research data samples was carried out by distributing 62 questionnaires to PEKA Online application users who work at PT. PGE Lumut Balai Area. Determination of the number of samples using the Slovin method so that the number of samples of PEKA Online application users is 160. The results of this study indicate that the use of the PEKA Online application is effective as a Supporting Media for the Creation of Safe Work. This is based on the results of the analysis of system quality indicators which have an effectiveness of 74.19%. The results of the analysis of the information quality indicator stated that the percentage of answers was 79.09%. The service quality indicator has an effectiveness percentage of 77.35%. The indicator of the intensity of using the application from the processed data results in an effectiveness percentage of 81.29%. The user satisfaction indicator gets an effectiveness value of 78.27%. And regarding the net benefits get a percentage value of 76.85%.