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All Journal J-Intech (Journal of Information and Technology) JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Charlitos, Ralfpiere
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Aplikasi Penyesuaian Stock Sebagai Pendukung Proses Audit Pada Perusahaan Manufaktur dengan Metode RAD Charlitos, Ralfpiere; Adam, Steffi
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.859

Abstract

XYZ is one of many manufacturing companies in the city of Batam operating in the field of plastic injection molding attempting to improve their business process by creating and integrating an information processing system. Currently, PT. XYZ is facing an issue regarding inaccuracy between physical and digital stock. This issue caused PT. XYZ to miss an opportunity to appeal towards a larger market. Despite doing an inventory audit, the inhouse system owned by the company didn’t accommodate input of the audit result regarding the stocks real condition, thus causing a need for time to figure out the root cause of a stock inaccuracy issue and to also solve it. This research is done to develop an application using a short and fast development cycle and implementation to receive results quicker with the intention of allowing the company to make a decision. The method used in Rapid Application Development (RAD), contains 3 processes which consists of, Requirements Planning, Design and Implementation. The result of the research shows that implementation of this system speeds up the investigation process of stock inaccuracy so that the company could deal with issue at hand immediately. Furthermore, according to observation results, the accuracy of the data between the system and the actual achieved 90%, which is an increase of around 30-40% compared to before the system was implemented
ANALISA PREDIKSI ANGKA KESEMBUHAN COVID-19 PADA BULAN APRIL 2021 Rio, Firstan; Michael; Charlitos, Ralfpiere; Sudiono; Thang, Susanti
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 1 (2021): Juli 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i1.22

Abstract

This study aims to prediction the number of people confirmed recovered COVID-19 from April 16 2021 to April 30 2021. Quantitative methods were used in this study with data sources derived from secondary data and using Simple linear regression analysis methods. Simple linear regression analysis method selection is considered appropriate as a tool to process data in the form of time series such as the data used in this study. The results showed the number of people who confirmed recovered COVID-19 from April 16 2021 to April 30 2021 as many as 142 people.
Rancang Purwarupa Aplikasi Pendukung Keputusan Pemilihan Jurusan Bagi Mahasiswa dengan Pendekatan Design Thinking Michael; Charlitos, Ralfpiere; Sudiono; Thang, Susanti
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.36

Abstract

The purpose of this study is to design an application prototype that can help all the incoming student to know their inner self and choose the best major according to their skill. This research is a qualitative research with a Design Thinking approach. The Design Thinking approach has five stages namely emphatize, define, ideate, prototype, and test. Design Thinking Approach is an approach used to create innovation by focusing on "Human Centered Design". Data collection methods that going to be used in this study are online survey. The end result of this study are the ARJUS prototype application which has four main function, namely personality test, major recommendation, university recommendation, scholarship information.
Co-Authors Michael Rio, Firstan Steffi Adam Sudiono Thang, Susanti