Claim Missing Document
Check
Articles

Found 34 Documents
Search

Rancang Bangun, Penyerahan, dan Sosialisasi Sistem Informasi Jasa Katering Berbasis Web Jefri Junifer Pangaribuan; Ilhami, Mirza; Chandra, Wenripin; Romindo, Romindo
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 2 (2024): Mei 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i2.4009

Abstract

Catering services are integral to the food and beverage industry, particularly in providing meals for various events such as weddings and corporate functions. However, many catering businesses still rely on outdated, conventional systems that result in inefficiencies and difficulties in reaching potential customers. To address these challenges, this research focuses on developing a modern information system tailored to the needs of catering enterprises. The development process began with the design of a Use Case Diagram, followed by the creation of a user-friendly interface and a robust database structure. The final product is a fully functional website that streamlines the ordering process, enhances customer interaction, and provides a platform for suppliers to effectively promote their products. The system was rigorously tested, and user feedback was gathered through questionnaires. The results indicated a satisfaction rate of 80%, demonstrating that the website meets the users' needs and successfully resolves issues related to service accessibility and promotional outreach. This project highlights the importance of integrating modern technology into traditional business models to improve efficiency and customer satisfaction.
Rancang Bangun, Penyerahan, dan Sosialisasi Sistem Informasi Penggajian Riche, Riche; Jefri Junifer Pangaribuan; Aulia Rizky Muhammad Hendrik Noor Asegaff; Jepronel Saragih; Mirza Ilhami
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): November 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v4i2.3370

Abstract

PT XYZ is a private company engaged in the production and sale of wire materials. The employee payroll process in this company is still conducted manually using paper records, leading to inefficiencies and a high risk of errors in payroll and attendance data recording. To address this issue, a computerized payroll system was developed using the waterfall development methodology. A structured analysis and programming approach was chosen to support the system’s accuracy and consistency. In the analysis phase, a flow of document (FOD) was used to map the existing workflow, while a data flow diagram (DFD) was applied in the design phase to illustrate the data flow. This system was built using Microsoft Visual Basic.NET for the interface development, Microsoft Office Access 2007 for the database, and Crystal Report 13 for generating reports. In addition to development, training and socialization sessions were conducted for PT XYZ employees to ensure effective system use. By implementing this system, the payroll process is expected to become faster, more accurate, and transparent, thereby enhancing work efficiency and effectiveness. This development is also part of a community service partnership program that aims to contribute positively to administrative management at PT XYZ.
Sosialisasi Peran Virtual Reality terhadap Pembelajaran dan Edukasi Kevin Bastian Sirait; Jefri Junifer Pangaribuan; Okky Putra Barus; Triandes Sinaga; Romindo, Romindo
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 2 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i2.5022

Abstract

Education orients on the process of transferring and acquiring knowledge and skills from learning activities. With the use of Virtual Reality (VR) in education, it can help students to experiment with the learned concepts and assess their implications within the virtual environment. The idea and implementation of VR in education are crucial since they enhance the student’s learning experience and process to understand various concepts and implement them to solve problems. Therefore, this socialization aims to provide deeper insights to the students of SMA Chandra Kumala Medan on how VR can help them improve their learning experience and performance. At this event, the socialization is conducted by following three sessions: (1) material presentation, (2) questions and answers session, and (3) VR demonstration where the students can take part. The results show that the students are highly engaged in all three sessions. It is found in the questions asked by the students, from how to create a virtual environment to the roles and impact of VR in real life (e.g., business). These findings indicate that the students are interested in how VR can improve their learning experience by understanding and testing new ideas or concepts within the virtual environment.
Analisis Kualitas Wine Menggunakan Machine Learning dengan Pendekatan SMOTE dan Seleksi Fitur Triandes Sinaga; Kevin Bastian Sirait; Pangaribuan, Jefri Junifer; Barus, Okky Putra; Romindo, Romindo
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 3 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i3.5436

Abstract

Conventional wine quality assessment remains reliant on subjective expert judgment, which introduces potential bias and inconsistency in quality control processes. This study aims to develop an objective and automated machine learning-based classification model to enhance the accuracy of wine quality prediction. To address the issue of class imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied, along with ANOVA F-test-based feature selection to optimize model performance. The White Wine Quality dataset from the UCI Machine Learning Repository (4,898 samples, 11 numerical features) was utilized to evaluate five classification algorithms: Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). Before SMOTE application, the Random Forest model achieved an accuracy of only 67.55%. After implementing SMOTE and parameter tuning, the Random Forest (Tuned) model demonstrated the best performance with 90.29% accuracy, 89.99% precision, 90.29% recall, and 89,97%.  % F1-score. Additionally, Decision Tree and KNN algorithms also exhibited notable improvements. SMOTE effectively balanced extreme minority class representations (quality levels 3 and 9). The most influential features in quality classification were alcohol content, density, and chlorides. These findings indicate that the proposed framework offers a reliable, objective, and scalable solution for automated wine quality control in industrial production environments.