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All Journal INFOKAM Sisforma: Journal of Information Systems Journal of Information Systems and Informatics Journal of Computer and Information Systems Ampera Journal of Business and Technology International Journal of Artificial Intelligence and Science Computing and Information System Journal
Albertus Dwiyoga Widiantoro
Information System Department, Computer Science Faculty Soegijapranata Catholic University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Library & Information Science Social Sciences Other

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Implementing CryptoWoo as a Cryptocurrency Payment Gateway on the Contemporary Curiosities Online Store Kurniawan, Margareta Sheryl; Widiantoro, Albertus Dwiyoga; Harnadi, Bernardinus
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13174

Abstract

This study aims to implement the CryptoWoo payment gateway and analyse its implementation on WordPress as a cryptocurrency payment gateway for the Contemporary Curiosities online store. The online store is built using WordPress with additional plugins such as WooCommerce, CryptoWoo, Super Socializer, and Tawk.to. The development of the online store follows the waterfall method, while testing is conducted using black box testing through in-depth interviews. This study evaluates ease of use, functionality, and user acceptance. The results show a positive potential for CryptoWoo as a cryptocurrency payment gateway. Support and acceptance from representatives of the cryptocurrency trading platform Indodax, application development partners, and students as potential consumers of the Contemporary Curiosities online store indicate a positive response.
Analisis Efektifitas Machine Learning Pada Saham PT. Adaro Energy: SVM, NN, K-NN Dan RL Dengan Rapidminer Thobibuddin, Firstiawan Fadhil; Widiantoro, Albertus Dwiyoga
Computing and Information System Journal Vol. 1 No. 1 (2025): Technological Innovation for System Automation and Efficiency
Publisher : IndoCompt Publisher

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

Abstract

This research investigates the effectiveness of four machine learning models in predicting the stock prices of PT Adaro Energy Tbk. The models evaluated include Support Vector Machine, Neural Network, K-Nearest Neighbors, and Linear Regression. Daily stock price data was collected from the period of June 3, 2019, to May 31, 2024, then processed and trained using preprocessing techniques to ensure the quality of the analyzed data. Each model was evaluated using prediction accuracy metrics and Root Mean Squared Error on a separate test dataset. The experimental results show that LR provides the best performance with the lowest RMSE value, followed by SVM, KNN, and LR. These findings indicate that LR can be an optimal choice for predicting the stock prices of PT Adaro Energy Tbk in this context.
BBCA Stock Price Prediction Using Linear Regression Method Saputra, Shannon Dominique; Widiantoro, Albertus Dwiyoga
International Journal of Artificial Intelligence and Science Vol. 1 No. 1 (2024): September
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/IJAIS.v1.i1.7

Abstract

This study focuses on predicting the stock price of Bank Central Asia (BBCA) using linear regression techniques, a widely utilized statistical method in financial forecasting. Stock price prediction is critical for investors, particularly in volatile markets like Indonesia. This research analyzes the relationship between key variables, such as adjusted closing prices and trading volume, based on historical data. The methodology includes data collection, preprocessing, model construction, and evaluation using metrics like Root Mean Square Error (RMSE) to assess the model's accuracy. The results indicate that linear regression can effectively predict BBCA stock prices with reasonable accuracy, providing a practical and interpretable tool for investors. These findings contribute to financial forecasting by demonstrating the utility of linear regression in stock price prediction, particularly in emerging markets.
Design and Development of a Fixed Asset Inventory System At The Holy Family Parish Church Atmodirono Robertus Firenza Nugroho de Rozari; Albertus Dwiyoga Widiantoro; Andre Kurniawan Pamudji
Journal of Business and Technology Vol 6, No 1: April 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i1.14965

Abstract

The management of fixed assets at The Holy Family Parish Church Atmodirono is still carried out manually using Microsoft Excel, which causes various problems such as limited multi-user access, the risk of data duplication, recording errors, and difficulties in asset tracking and reporting. This study aims to design and build an integrated web-based fixed asset inventory system. The system development method used is the Waterfall method, which includes the stages of requirements analysis, system design, implementation, and testing. The system is built using the Laravel framework and MySQL database. The results of the study show that the developed system is able to improve the efficiency of asset management through centralized recording, asset tracking using QR Codes, and automatic reporting features.
Design and Development of a Website-Based Sales Information System at Roujee Bag Studio Benedicta Nathania Nugroho; Ridwan Sanjaya; Albertus Dwiyoga Widiantoro
Journal of Business and Technology Vol 6, No 1: April 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i1.11638

Abstract

Sales Information System "Roujee Bag Studio" is an application designed to facilitate the management and monitoring of the sales process at the Roujee Bag Studio company. This application aims to improve operational efficiency, increase the accuracy of information, and strengthen control over the entire value of purchases and sales. The method used in system development is the waterfall method and the black box testing method and interviews. The results of application development show that continuity between data and integrated systems can facilitate company performance. And the existence of a strong authentication system ensures that only authorized parties can access sensitive information. with the implementation of this Sales Information System Roujee Bag Studio is expected to improve operational efficiency and more precise and accurate decision making.Keywords— sales information system, roujee bag studio, operational efficiency, data security, reporting module.
Development of an Inventory Dashboard Module for Enterprise Resource Planning (ERP) at PT. Mitra Kasih Perkasa Jonathan Christiawan; Albertus Dwiyoga Widiantoro; T. Brenda Chandrawati
Journal of Business and Technology Vol 6, No 2: Agustus 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i2.13089

Abstract

Businesses are growing more conscious of the value of information technology in today's digital age in order to maximize operations and decision-making. The fintech company PT. Mitra Kasih Perkasa frequently has challenges with data management and transactions since it needs an integrated ERP application. The goal of PT. Mitra Kasih Perkasa's inventory dashboard module development for the Enterprise Resource Planning (ERP) system is to increase the efficacy and efficiency of the business operations of the organization.This dashboard module is intended to integrate many business operations into a single platform and offer simple access and monitoring of inventory activity. Rapid Application Development (RAD), a development methodology that enables quick and flexible development, is employed. User input on the system's usability and functioning is gathered through testing with questionnaires that are provided to users.The test results show that this ERP dashboard's easy design, strong integration, and user-friendly functionality effectively satisfy user demands. Accordingly, this module may increase PT. Mitra Kasih Perkasa's operational efficiency and streamline all business operations.
Cashier Application for Business Washing Service at V2 Laundry and Dry Clean Rafael Yusia Adi Kusuma; Albertus Dwiyoga Widiantoro; Erdhi Widyarto Nugroho
Journal of Business and Technology Vol 6, No 2: Agustus 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/jbt.v6i2.13405

Abstract

The laundry business is one of the businesses that continues to grow over time. This business provides laundry services and clothing and other textile care for customers, with the aim of providing convenience, comfort, and quality in maintaining the cleanliness and appearance of their clothes. However, in the era of increasingly rapid digitalization, technological transformation has changed the way various industries operate, including service businesses such as the laundry industry. However, the laundry business still faces challenges in manual operational management, which can hinder efficiency and service quality.This study aims to design and build a web-based cashier application to improve efficiency using the Waterfall method. This application automates order recording, service scheduling, payments, and reporting. Black box testing shows that the application functions according to specifications, while user evaluations show satisfaction with the features and ease of use. With this system, the laundry business can be more efficient, competitive, and integrated with digital innovation.
Co-Authors Agus Cahyo Nugroho Anastasia Widiastuti Andre Kurniawan Pamudji Benedicta Nathania Nugroho Bernadinus Harnadi Bernardinus Harnadi Bernardinus Harnadi Chandrawati, T. Brenda Chrismastuti, Agnes Advensia Christianto Gunadi Eddy Sukamto Elisa Purnamasari Erdhi Widyarto Evangeline Eunike Evania Chrestella Albertina FX Hendra Prasetya FX Hendra Prasetya Gregorius Alvin Raditya Santoso Hardayani, Bernadheta Dinar Koen Hartono, Pieter Chang Helarius Panji Aruna Hendra Prasetya Hendra Prasetya JImmy Wiyanto Jonathan Christiawan Khoirul Fikri Shona Kurniawan, Margareta Sheryl Lydia Natalia Kristiani Maximiliano, Oeij Dominic Aldrich Muljanto, Yehuda Joy Namudani, Ninggar Nugroho, Agus Cahyo pieter santoso hadi Rafael Yusia Adi Kusuma Ridwan Sanjaya Robertus Firenza Nugroho de Rozari Saputra, Shannon Dominique Stefanus Lintang Timur Aji Pamungkas Steven Wisnu Cahya Putra T Brenda Chandrawati Thobibuddin, Firstiawan Fadhil Vania Wahyu Febriani Victorio Almers Chrisetya Putra Yuvisan, Evaditus Kresna