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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi J-CEKI
Fajar Agung Nugroho
Pamulang University
Humanities Computer Science & IT Social Sciences

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Implementasi QR Code Menggunakan Google Api dalam Membangun Sistem Informasi E-Bansos Menggunakan Metode Extreme Programming (Studi Kasus: Kelurahan Batujaya) Irawan Irawan; Fajar Agung Nugroho
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol 5, No 3 (2022): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v5i3.18034

Abstract

Social assistance is a form of concern for the government or social organizations that are legal entities in overcoming poverty, natural disasters, or as currently all countries are being affected by the Covid 19 virus which has resulted in the economy in Indonesia itself weakening which makes people lack food. From these problems, social assistance is very much needed for people affected by the Covid 19 Virus, the social assistance needed is such as money, clothing, food, and medicine. From these problems can be solved with a web-based social assistance application built with the Extreme Programming Method. This Extreme Programming method with stages of planning, design, coding, and testing can make it easier for researchers to solve these problems. then a social assistance web application was built that can be accessed by the public to register and login to view the QR Code when receiving social assistance, while the admin is to manage social assistance and transactions.
Implementasi Metode SAW Untuk Perangkingan Siswa Dalam Sistem Informasi Akademik Di SMPIT Cordova Pondok Aren Imam Balda; Devi Damayanti; Fajar Agung Nugroho
J-CEKI : Jurnal Cendekia Ilmiah Vol. 3 No. 6: Oktober 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v3i6.5739

Abstract

Rapid technological developments in the era of globalization encourage educational institutions to adopt computer technology to accelerate and improve the accuracy of academic data management. At SMPIT Cordova Pondok Aren, academic data management is still done manually, causing various problems such as difficulties in searching for student data, compiling academic reports, and determining unfair student rankings because they are only based on final grades. This study aims to develop a computer-based system that can improve academic data management at SMPIT Cordova Pondok Aren by overcoming these problems and providing a fairer student ranking process using the SAW (Simple Additive Weighting) method. The development method used is Waterfall, with data collection through observation and interviews, then analyzed using the SAW method to determine student rankings based on predetermined value weights and criteria. The results of testing conducted on 15 students in Class VIII1 showed that Shoffa Nur Aisyah achieved a score of 0.996853, making her one of the students with the highest ranking. In addition, a survey conducted on 30 respondents showed that 87.33% gave the answer "Strongly Agree" to the implementation of this system, This signals widespread support for the system's benefits in improving academic data management and student ranking.
Co-Authors Devi Damayanti Imam Balda Irawan Irawan