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Penggunaan Metode System Development Life Cycle ( SDLC) dalam Analasis dan Perancangan Sistem Informasi Penerimaan Kas Sekolah Anggit Prastika Setiany; Dian Noviyanto; Muhammad Irfansyahfalah; Siti Aisah; Aries Saifudin; Irpan Kusyadi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol 4, No 3 (2021): 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.v4i3.11992

Abstract

Implementation of Accounting Information System in educational institutions like school is important to do. With information system, delivery information accounting at school goes well on reach goals that determined before. School cash receipts with information accounting system should be support with information system for an effective administration process. Purpose of this research is give the solution about information system of school cash receipts to handle the problem in the system that has been applied. A plan with MYSQL and PHP application system passed through by DBMS (Database Management System),used for creating the management with accounting information system. With SDLC (System Development Life Cycle) method does for program school accounting of information system. Before used SDLC method,school used manual system that cause much trouble, one of them is data dissonance existence with cash receipts evidence. After the implementation of the SDLC method and a complete DBMS design can make it easier for programmers to implement into programming languages, can reduce errors and speed up work.
Implementasi Kecerdasan Buatan untuk Memantau Lahan Pertanian Anggit Prastika Setiany; Dian Noviyanto; Muhammad Irfansyahfalah; Siti Aisah; Yulianti Yulianti; Irpan Kusyadi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol 4, No 3 (2021): 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.v4i3.12022

Abstract

This researcher is planning on agriculture monitor system effective and planting will increase harvest yield. Effort to do a plan and construction in this agriculture, could give benefits in-between to knows   neighborhood condition with appropriate plant type in environtment of agriculture land and give various information. This system an AI implememtation which use technology like IoT, and use Farming System Analysis matriks variable in agriculture field which is related like, soil, plant, animal, tools, labor, capital, up to agriculture effort. Because the technology has not been developed this time and still got a problem and lack on agriculture sector, one of them is hard to choose a good land so that affect the farmers's harvest result. The results of this study indicate that the application of artificial intelligence can facilitate the community in farming and provide useful information ranging from planting to harvesting and reducing failure in harvesting, besides that other benefits provided are that the food needs of farmers can be fulfilled and even marketed.
Sistem Penentuan Jarak Terdekat Menuju Fasilitas Kesehatan Dengan Metode Algoritma Greedy Muhammad Irfansyahfalah; Roeslan Djutlov
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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

Abstract

This research aims to find healthcare facilities through determining the nearest distance using a website. In this study, it is conducted using a mobile phone that utilizes GPS. The situation here is when the user is in a certain location and wants to find healthcare facilities. To address the above issue, a system is created to determine the nearest distance using a mobile phone and GPS during website access. Then, the website will directly recommend the nearest healthcare facility locations within a 10 km radius when the 'get my location' button is clicked. Subsequently, LeafletJS will provide an overview of the distance between the user and the healthcare facility location. The method used in this research is the greedy algorithm when processing the determination of the nearest distance from the user's location to reachable healthcare facilities. The results of this research indicate that the system for determining the nearest distance to healthcare facilities using the website can be accessed without login.