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RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Published by Universitas Abdurrab
ISSN : 24772062     EISSN : 2502891X     DOI : https://doi.org/10.36341/rabit
Core Subject : Science, Engineering,
Computer Science & IT Engineering
This journal is called RABIT, where the name comes from two words namely, RAB which means Abdurrab University and IT which means information technology, it can be interpreted as a journal of this journal Journal of Informatics Engineering Study Program Pekanbaru Abdurrab University. This RABIT journal contains various sciences related to the world of computers especially information technology and information systems, namely, this journal is published twice a year where the initial publication is on January 10 while for the second issue which is on July 10.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 696 Documents
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APLIKASI WEB UNTUK EKSPLORASI MINAT DAN BAKAT MENGGUNAKAN METODE RMIB DENGAN PENDEKATAN RAD: WEB APPLICATION FOR EXPLORING INTERESTS AND APTITUDES USING THE RMIB METHOD WITH A RAD APPROACH Muhammad Darwis; Wahyuningdiah TH Putri; Retno Hendrowati; Reza Arif Maulana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7607

Abstract

Identifying interest in work is one of the important factors in choosing appropriate education and career paths. However, adolescents often do not yet have a clear understanding of occupational fields, and their interests may change along with their growth process and exposure to external information. Therefore, it is important to identify interests in skill areas and occupations from an early age so that they can choose suitable educational pathways. This study aims to develop a web-based RMIB interest and aptitude understanding application that can assist SMK PKP 1 Jakarta in exploring and providing recommendations to prospective students regarding the majors they should choose. The development of the web-based RMIB screening application applies the Rapid Application Development (RAD) method with active user participation. The main contribution of this study is the automation of the RMIB assessment process, which was previously conducted manually, thereby addressing limitations in time, human resources, and potential assessment bias. The application utilizes the Moodle framework with PHP and a MySQL database, hosted on AWS Cloud. It is designed to support simultaneous usage, making it suitable for large numbers of test participants. The RMIB interest and aptitude exploration application developed in this study has been tested using the black-box testing method, ensuring that all functions and features operate properly. n addition, user evaluation was conducted through a survey using a 1–5 Likert scale involving students and teachers. The evaluation results indicate that, on average, 72% of respondents agreed that the application is easy to use, easy to understand, quick to complete, and helpful in determining appropriate majors. These findings demonstrate that the application of RAD in developing web-based psychometric tools can improve process efficiency and achieve a good level of user acceptance.
PREDIKSI KONSUMSI HARIAN PROGRAM MAKAN BERGIZI Iklima Madina Rachmawati; Aris Nurhindarto; MY Teguh Sulistyono
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7609

Abstract

The Nutritious Meal Program (MBG) aims to improve nutritional status and learning concentration among elementary school students; however, actual food consumption remains a critical challenge. This study develops a predictive model of daily MBG consumption based on students’ satisfaction and perceptions, and compares the performance of Random Forest and XGBoost algorithms. Data were collected from 132 students using a 10-item Likert-scale questionnaire and direct observation of plate waste. The target variable, “daily consumption,” was operationalized as an ordinal variable with three categories: 0 (rarely), 1 (sometimes), and 2 (often). Data were split using stratified sampling (80:20) and optimized through Grid Search with 5-fold cross-validation. The results indicate that XGBoost outperforms Random Forest, achieving lower MAE, MSE, and RMSE values, with statistically significant differences (p < 0.05). Feature importance analysis reveals that willingness to continue the program, perceived cleanliness, perceived taste, and grade level are the most influential factors affecting consumption. These findings highlight the critical role of students’ perceptions and attitudes in program effectiveness and demonstrate the potential of predictive modeling to support data-driven decision-making in school nutrition management.  
PERANCANGAN UI/UX VAPEJIE.ID BERBASIS WEBSITE DENGAN METODE DESIGN THINKING PADA LAYANAN POINT OF SALE (POS) jihad paratama jiat; MUHAMMAD JIHAD PRATAMA SUMAILA
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7617

Abstract

The growth of the e-cigarette (vape) industry in Indonesia has driven the need for an efficient operational management system, particularly through the use of website-based Point of Sale (POS). However, existing POS systems still face issues with their interface and user experience (UI/UX) which are less intuitive, hindering transaction processes and inventory management at VapeJie.id stores. This study aims to design a user-centered UI/UX for a website-based POS system using the Design Thinking method. This method includes five stages: empathize, define, ideate, prototype, and test. Data collection was conducted through observation and in-depth interviews to identify user problems and needs, such as navigation complexity due to high product variety. Based on the analysis, a POS system prototype was designed that emphasized ease of use, efficient vaporista workflow, and real-time inventory management. The developed prototype was then tested using the system usability scale (SUS) method to evaluate the effectiveness and efficiency of the design. The results of the usability testing system showed a test result of 90%, categorized as excellent, indicating that the resulting UI/UX design is able to improve transaction process efficiency and simplify product stock management. This study concludes that the application of the Design Thinking method is effective in producing a POS system design that is functional, adaptive, and in accordance with the characteristics of the vape industry, and contributes to the development of a user-oriented retail management system.
WEB-BASED SALES DATA VISUALIZATION DASHBOARD SYSTEM FOR PARFUMKU UMKM: SISTEM DASHBOARD VISUALISASI DATA PENJUALAN BERBASIS WEB PADA UMKM PARFUMKU Reygina Azahra; Nabila Faiza Nisa; M. Qolbin Salim; Dzikri Fathulloh; Luthfi Aditya Makarim; Dahlia Widhyaestoeti
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7619

Abstract

Although MSMEs play an important role in Indonesia's economy, they still face several challenges in entering digitalization, particularly related to the management and utilization of sales data. One of the MSME businesses, Parfumku, faces problems with inventory and sales data management that have not yet been integrated. This makes business performance monitoring and decision-making difficult. The purpose of this study is to design and develop a web-based sales data visualization system that can display information on inventory, product trends, and sales in an interactive and easily understandable manner. Requirement analysis, system design, implementation, and testing are the stages of the Rapid Application Development (RAD) method used in system development. Sales charts, trend charts, and product contribution visualizations based on sales prices are some of the data visualizations available in the developed system. User Acceptance Testing (UAT) was used to evaluate the system. The results obtained from fourteen respondents showed a percentage score of 85.71%, which falls into the very good category. The results of this study indicate that the developed visualization dashboard presents information through sales charts, while the word cloud visualization illustrates the highest revenue generated from sales. The system is easy to use and can assist Parfumku MSME in monitoring sales performance and supporting data-driven decision-making processes.  
ANALISIS SENTIMEN FENOMENA PENGIBARAN BENDERA STRAW HAT PIRATES DI MOMEN HUT RI KE-80 DENGAN MENGGUNAKAN SUPPORT VECTOR MACHINE DAN EKSTRAKSI FITUR GLOVE: SENTIMENT ANALYSIS OF THE STRAW HAT PIRATE FLAG HOISTING PHENOMENON DURING THE 80TH ANNIVERSARY OF INDONESIAN INDEPENDENCE DAY USING SUPPORT VECTOR MACHINE Syukron Abdul Aziz; Dian Candra Rini Novitasari; Maunah Setyawati; Jiphie Gilia Indrayani
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7621

Abstract

The phenomenon of hoisting the Straw Hat Pirate flag during the commemoration of the 80th Anniversary of Indonesian Independence Day has sparked diverse public reactions on social media platform X. Some members of society interpret it as a symbol of freedom of expression and social criticism, while others consider the action inappropriate as it is perceived to reduce the meaning of national symbols. This study aims to analyze public sentiment toward this phenomenon by classifying public opinion into positive and negative sentiments and to determine the performance of the classification method used. The method employed is Support Vector Machine (SVM) with text feature extraction based on Global Vectors for Word Representation (GloVe). The research data consists of 2,660 tweets collected during 1 August 2025 into 31 August 2025 through a crawling process using keywords related to the flag-hoisting phenomenon. The research stages include text pre-processing, word vector formation using GloVe, and sentiment classification using SVM. Model validation was conducted using the K-Fold Cross Validation method and evaluated using Confusion Matrix based on accuracy, precision, recall, and F1-score metrics. The research results demonstrate that the SVM model with GloVe features is capable of classifying public sentiment, achieving an accuracy value of 0.9708, precision of 0.9733, recall of 0.9698, and F1-score of 0.97154, while providing a mapping where positive sentiment regards the phenomenon as a form of freedom of expression and negative sentiment reflects views that consider the action inappropriate.
SISTEM INFORMASI DIGITALISASI SOP BERBASIS WEB UNTUK MENINGKATKAN EFISIENSI OPERASIONAL PADA PERUSAHAAN LOGISTIK DI PURWAKARTA: A WEB-BASED SOP DIGITALIZATION INFORMATION SYSTEM FOR IMPROVING OPERATIONAL EFFICIENCY AT A LOGISTICS COMPANY IN PURWAKARTA Hasyyati Shabrina; Ahmad Fauzi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7622

Abstract

The management of Standard Operating Procedures (SOPs), which were previously in the form of physical and manual documents and scattered across several storage media, caused several operational problems. These problems included difficulty in searching for documents, inconsistencies between the latest versions, delayed notifications, and a high risk of data loss, especially in the logistics industry. In this study, a web-based SOP management system was designed using Laravel and MySQL with the R&D+Waterfall method. Needs analysis was conducted through observation and interviews with five Manager ial respondents. The system is equipped with an approval workflow (waiting-approved-rejected) and RBAC 3-role (superadmin - department admin - viewer). Black Box Testing (12/12 scenarios passed) by Manager ial respondents showed that the system was able to significantly speed up the document search process and centralize the management of all SOPs into a single integrated platform.
PENGEMBANGAN PORTAL DIGITAL WISATA KABUPATEN MUARA ENIM BERBASIS WEBSITE Maya Anggita; Leon A. Abdillah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7625

Abstract

The development of information technology has encouraged the use of websites as platforms for delivering information and promotion, including in the tourism sector. Muara Enim Regency has various tourism destinations, yet the available information is scattered across unofficial sources, making it difficult for tourists to obtain accurate and reliable data. This research aims to design and develop a web-based digital portal that provides comprehensive, accurate, and easily accessible tourism information for Muara Enim Regency. The system was developed using the Extreme Programming (XP) method, which emphasizes iterative and flexible development. The implementation results show that the website successfully presents tourism information through features such as destination descriptions, photo galleries, tourism categories, location details, and a content management system for administrators. System testing was conducted using the blackbox method, and all test scenarios produced results that matched the expected functionality without any errors and The results of usability testing using SUS obtained a score of 81.9 which is included in the Acceptable category with Grade A. Therefore, the developed website is considered feasible to serve as an information and promotional medium for tourism, helping tourists obtain valid information and supporting the local Tourism Office in enhancing the attractiveness of regional destinations.  
KOMPARASI ALGORITMA KNN DAN RANDOM FOREST UNTUK KLASIFIKASI PENYAKIT DISLEKSIA MENGGUNAKAN SMOTE-ENN: COMPARISON OF K-NN AND RANDOM FOREST ALGORITHMS FOR DYSLEXIA DISEASE CLASSIFICATION USING SMOTE-ENN Ali Nur Ikhsan; Pungkas Subarkah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7626

Abstract

The classification of dyslexia has become a significant challenge in the field of artificial intelligence, particularly when dealing with imbalanced datasets between dyslexic and non-dyslexic individuals. This study aims to compare the performance of two machine learning algorithms, namely K-Nearest Neighbors (KNN) and Random Forest (RF), in classifying dyslexia using the SMOTE-ENN (Synthetic Minority Oversampling Technique–Edited Nearest Neighbours) data balancing technique. The dataset was obtained from the Kaggle platform, consisting of 220 initial samples and 197 features. The preprocessing stages included data subsetting, label encoding, and feature normalization using MinMaxScaler, followed by an 80% training and 20% testing data split. The results show that the application of SMOTE-ENN successfully improved the class distribution balance and enhanced the performance of both models. The Random Forest algorithm achieved the best performance with an accuracy of 92.5%, recall of 94.0%, F1-score of 92.5%, and ROC-AUC of 0.97, while KNN achieved an accuracy of 87.5% with a ROC-AUC of 0.90. The improvement in recall and F1-score demonstrates the effectiveness of SMOTE-ENN in enhancing model performance for the minority class. Overall, this study proves that the combination of machine learning algorithms with data balancing techniques can improve classification accuracy and serve as a potential solution for early detection of dyslexia based on cognitive and digital behavioral data.
PENERAPAN METODE FIFO DAN FEFO DALAM SISTEM MANAJEMEN OBAT KLINIK APOTEK XYZ: APPLICATION OF FIFO AND FEFO METHODS IN THE PHARMACY CLINIC DRUG MANAGEMENT SYSTEM XYZ Muhammad fahmi Rosyadi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7637

Abstract

Effective drug stock management is a vital element for maintaining service continuity in pharmacies and clinics. Inaccuracies in inventory control risk significant financial losses and jeopardize patient safety due to the potential use of expired drugs. The XYZ Pharmacy Clinic currently relies on a manual recording system, a process prone to human error and inefficiency, particularly in tracking and distribution. This research addresses this gap by developing a web-based drug stock management information system integrating FIFO (First In First Out) and FEFO (First Expired First Out) methodologies, enhanced with real-time stock analysis features to support dynamic decision-making. The Research and Development (R&D) method was employed. Data was gathered through two-week field observation of three pharmacy staff members, structured interviews, and documentation studies. A significant technical enhancement was performed: a database migration from MySQL to PostgreSQL using DBConvert, validated through pgAdmin 4, to improve backend performance, scalability, and data integrity. Black Box Testing across 5 scenarios confirmed all system functions operated as expected. Performance testing using Google Lighthouse yielded an LCP (Largest Contentful Paint) value of 0.97 seconds, classified as excellent by Google Web Vitals standards (<2.5 seconds). The system has proven to improve stock recording efficiency, provide automated expiry notifications, and present inventory data through clear visualizations.  
PENGEMBANGAN MODEL KLASIFIKASI SPESIES FAUNA LANGKA INDONESIA DENGAN METODE BACKGROUND SUBTRACTION DAN DEEP LEARNING: DEVELOPMENT OF A CLASSIFICATION MODEL FOR RARE INDONESIAN FAUNA SPECIES USING BACKGROUND SUBTRACTION AND DEEP LEARNING Anindya Samantha Prayoga; Christian Sri Kusuma Aditya
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7652

Abstract

Wildlife monitoring systems based on camera traps require automated classification methods capable of processing thousands of images with high accuracy to support endangered species conservation. One of the main challenges in animal image classification is the complexity of vegetation backgrounds and dynamic lighting, which are often considered visual distractions for deep learning models. The use of background subtraction methods aims to separate fauna objects from their backgrounds to enhance the model's focus on key animal features. However, the effectiveness of background subtraction on the classification accuracy of Indonesian fauna species still needs further evaluation. This study develops a classification model by evaluating the impact of background subtraction using four segmentation methods (DeepLabV3+, PSPNet, YOLOv11n-seg, and Mask R-CNN) integrated with MobileNetV2 and ResNet-50 architectures. Experimental results on 10,800 images of 9 rare fauna species show that background subtraction significantly reduces accuracy, with a decrease of up to 33% for YOLOv11n-seg and 13-14% for Mask R-CNN. Conversely, models without background subtraction achieved the highest accuracy of 98%. These findings identify that the background in camera trap images is not noise, but vital contextual information that helps the model recognize species.

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