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This Author published in this journals
All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Majalah Ilmiah METHODA Journal of Data Mining and Information Systems
Robby Wijaya
STMIK TIME
Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health

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Implementation of the Gradient Boosting Algorithm for Palm Oil Price Prediction Wilbert Fernando; Hendri; Robby Wijaya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2316

Abstract

The price of palm oil is highly volatile due to the influence of global market dynamics, trade policies, and climate change, creating uncertainty for industry players in decision-making. This research aims to implement the XGBoost (Extreme Gradient Boosting) algorithm, optimized using Grid Search Cross-Validation, to predict palm oil prices. The dataset used is the Palm Oil Futures Historical Data.csv obtained from Kaggle, consisting of nine features. Data preprocessing is performed using StandardScaler for normalization, followed by model training with hyperparameter tuning. The system is built as a web-based application separating the frontend using PHP and Flask as the Backend API. Testing on 105 test data points yielded an MAE of 43.97, RMSE of 65.14, and R² of 91.82%, demonstrating the model’s strong ability to explain palm oil price variation. Based on the results, the XGBoost algorithm is suitable as a decision-support tool for commodity price prediction, achieving high accuracy consistent with standard criteria for commodity price forecasting and capable of handling large datasets.
PERANCANGAN APLIKASI HUMAN RESOURCES DEVELOPMENT (HRD) PADA VIZTA GYM MENGGUNAKAN METODE DELONE AND MCLEAN Robby Wijaya; Didik Aryanto; David David
Majalah Ilmiah METHODA Vol. 14 No. 1 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No1.pp17-24

Abstract

This research aims to develop a Human Resources Development (HRD) application for Vizta Gym, a fitness center with four branches in the city of Medan. Currently, the company is still facing problems in managing Human Resources (HR) because it uses a manual recording system. Data integration between branches is less effective, making it difficult to record jobs and obtain information about employee conditions and performance. Complicated employee data management also causes errors in data management. The process of calculating employee salaries is also slow and has the potential for errors to occur. The HRD application that was built has an automatic salary calculation feature based on employee absences, leave, permission, illness, holidays, tardiness, and absence. With this application, HR management can monitor employee performance and calculate salaries quickly and accurately. Automatic reporting features, including payroll slips and employee salary summary, are also provided. The results showed that the HRD application was successful in overcoming complex employee data management problems at Vizta Gym. The DeLone and McLean method was used to measure the success of this application and showed very good results with percentages above 85% for each indicator variable.
Perancangan Aplikasi SIAKAD Kampus STMIK Time Berbasis Android Felix Felix; Octara Pribadi; Robby Wijaya
JDMIS: Journal of Data Mining and Information Systems Vol. 4 No. 2 (2026): August 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v4i2.7785

Abstract

The Academic Information System (SIAKAD) is the main pillar in administrative services in higher education. Currently, STMIK TIME already has a web-based SIAKAD portal, but accessibility via mobile devices is still limited. This research aims to design and develop the frontend of the STMIK TIME Campus SIAKAD application based on Android to facilitate students in accessing academic data in real-time. The application development method uses the Flutter framework with the Dart programming language, implementing Clean Architecture patterns and BLoC State Management to maintain scalability and ease of code maintenance. Data integration is carried out through REST API to ensure synchronization between the mobile application and the web portal server. The result of this research is a mobile application prototype that includes features for KRS registration, KHS checking, academic transcripts, and student profile management. Internal testing shows that the implementation of a modular code structure and efficient state management is able to provide stable and responsive application performance for users.
Co-Authors David David Didik Aryanto Felix Felix Hendri Hendri Octara Pribadi Wilbert Fernando