Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Indra Prasetya
Universitas YPPI Rembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Kepuasan Penerapan Sistem Informasi Perpustakaan Universitas Yppi Rembang Menggunakan Pieces Framework Fajar fajar; Aditya Eka Prasetya; Indra Prasetya
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 1 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i1.187

Abstract

One of the parts of information that is so rapidly evolving is the information system. Every system has its advantages and weaknesses, and in order for the system to work well and efficiently, they need to be modified. To this, an analysis of the level of efficiency and effectiveness of the system is needed. The PIECES Framework, which consists of six indicators related to performance, information, economics, control/security, efficiency, and service, is one of the methods that can be used to analyze systems. Many studies have been conducted on the evaluation of the system, but few have been done to evaluate the Library Information System owned by the UYR. The aim of this study is to determine the level of user satisfaction with the library information system as well as to identify the advantages and disadvantages of such a system. The research uses a quantitative descriptive approach, and data is collected through observations and questionnaires. The data analysis was done using interval scales and mean formulas. The results of the study showed that of the six domains of the PIECES framework methodology said well with mean mean values namely performance (4.69), information (4.66), economics (4.16), control/security (4.47), efficiency (4.7), service. (4.6). According to the research carried out, the information system of the YPPI University Library Rembang can be used well according to PIECES analysis, and is quite effective and efficient to use.
Design of a web-based online reservation system for the pediatric polyclinic at Bhina Bhakti Husada Hospital Indra Prasetya; Syakur; Fajar Sodiq
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2117

Abstract

Bhina Bhakti Husada Hospital faces operational constraints in the Pediatric Clinic service due to a manual reservation system relying on direct registration and WhatsApp, resulting in long queues and data recording errors. This research aims to design and implement a web-based online reservation system integrated with doctor schedules and a real-time queuing system using MERN Stack technology (MongoDB, Express.js, React.js, and Node.js). The research method employs a qualitative descriptive approach for requirements analysis and the Prototyping method for system development, with functionality testing using Black box Testing. Test results demonstrate that all designed testing scenarios were successfully executed according to system specifications. The developed system significantly improves service efficiency by reducing reservation processing time from 10-15 minutes to 2-3 minutes and provides data transparency through a real-time administrative dashboard. This research contributes to enhancing the quality of Pediatric Clinic healthcare services through automation of reservation and queue processes, with recommendations for further development including online payment integration, automatic notifications, and mobile applications.
Co-Authors Aditya Eka Prasetya Fajar fajar Fajar Sodiq Syakur