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All Journal Jurnal Info Sains : Informatika dan Sains Journal of Artificial Intelligence and Digital Business Journal of Computer Science and Research Jurnal Ilmiah Multidisiplin Indonesia Journal of Data Mining and Information Systems Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Journal of Data Science, Technology, and Artificial Intelligence Jurnal Sistem Informasi dan Teknologi Jaringan
Harefa, Ade May Luky
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Nursing Physics

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Journal : journal of data science technology and artificial intelligence

 1 
Design and Build an Android-Based Mobile Application for Online Badminton Court Booking Priskila Parimanam; Harefa, Ade May Luky
Journal of Data Science, Technology, and Artificial Intelligence Vol. 1 No. 1 (2024): July 2024
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/ditech.v1i1.1

Abstract

In this digital era, the utilization of mobile technology is increasingly crucial to provide easier and faster services for users. In the design phase, a needs analysis and literature study were conducted regarding online booking applications and badminton court systems that already exist at the Sekip Badminton Center. The user interface design was created to allow users to easily book badminton courts according to their preferred time and location. This application incorporates essential features, including user authentication system, court availability calendar, time options, court type selection, and secure payment processing to enhance user convenience and experience. This research focuses on the development of an Android-based application. Quality testing processes were carried out to ensure the application functions well, is free from errors, and provides accurate results. The result of this research is a mobile application that assists users in quickly and efficiently booking badminton courts. The application improves accessibility and effectiveness in court booking, contributing positively to the development of the sports industry, particularly in the field of badminton courts.
Application of Linear Regression Method in Predicting Veil Sales (Case Study: Fauzan Kerudung Shop) Fitri Amalini; Harefa, Ade May Luky
Journal of Data Science, Technology, and Artificial Intelligence Vol. 1 No. 1 (2024): July 2024
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/ditech.v1i1.4

Abstract

The sales prediction system can support business transactions, especially those engaged in the trading sector, as an operational process that forecasts products to be sold in the future. One of the stores involved in the trading business is Toko Kerudung Fauzan. This kerchief store relies solely on estimates to determine the quantity of goods to be purchased from suppliers. This reliance on estimates has led to difficulties for the store owner in predicting future sales without performing calculations to maintain inventory levels in the store. Therefore, there is a significant need for a prediction system to determine kerchief sales in the future. The method employed for sales prediction is the Linear Regression Method. The number of data samples used consists of sales data collected from January to December 2022. Consequently, it can be stated that the decision to predict sales in 2023 shows a decline. 
Co-Authors Ade Maulana Adhitya Pratama, Yudhistira Adrianta Pandia Afif Yasri Agil Alfarezi Antoni, Robin Bosker Sinaga Dulianto, Des Fitri Amalini Hasugian , Paska Marto Insandi, Arief Muhazir Jijon Raphita Sagala Limbong, Yohannes France Medhian Ahmadi Putra MIFTAHUL JANNAH Muhammad Syahputra Novelan Nababan, Adli Abdillah Nazara, Melfance Priskila Parimanam Ramlan Marbun Sijabat, Petti Indrayati Sitepu, Andri Ismail Yudhistira Adhitya Pratama