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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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ANALISIS PENERIMAAN PENGGUNA APLIKASI SIAPEL-TEGAS PADA LAYANAN AKTA KELAHIRAN MENGGUNAKAN TAM DENGAN KONSTRUK TRUST Arik Mauluchi; Ahsanun Naseh Khudori; Risqy Siwi Pradini
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.v11i2.8315

Abstract

SIAPEL-TEGAS is a digital public service application developed by the Malang City Government to facilitate online birth certificate registration, yet its level of user acceptance has not yet been empirically determined. This study analyzes user acceptance of the SIAPEL-TEGAS application using the Technology Acceptance Model (TAM) framework extended with the Trust construct. A quantitative approach using PLS-SEM (SmartPLS 4) was applied to 100 active users in Malang City selected through purposive sampling. The variables examined include Trust, Perceived Ease of Use, Perceived Usefulness, and Behavioral Intention to Use. Results indicate that all hypotheses were accepted, with Trust as the strongest predictor of Perceived Ease of Use. Perceived Ease of Use significantly influenced both Perceived Usefulness and Behavioral Intention to Use, while Perceived Usefulness also significantly affected Behavioral Intention to Use. The model explained 68.9% of the variance in Behavioral Intention to Use with strong predictive relevance. These findings confirm that user trust is a key factor in digital public service acceptance, and administrators are advised to prioritize system security and interface usability of the SIAPEL-TEGAS application.  
SISTEM INFORMASI PENCATATAN KAS MASJID BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL (STUDI KASUS: MASJID AL-AQSHA TOLOTONGGA) Nurfadilah; Syarifuddin; Dahlan
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.v11i2.8324

Abstract

Manual financial management in mosques causes various problems, such as recording errors, delayed data recapitulation, and a lack of financial transparency for the congregation. This study aims to develop a Website-Based Mosque Cash Recording Information System (Case Study: Masjid Al-Aqsha Tolotongga) to improve the effectiveness, efficiency, and transparency of mosque financial management. The system was developed using the Waterfall method, consisting of requirements analysis, system design, implementation, testing, and maintenance, using PHP as the programming language and MySQL as the database. The resulting system has six main features: cash income recording, cash expenditure recording, financial reporting, mosque activity management, announcements, and mosque profile. Black Box Testing results show that all system features function properly and are valid according to user needs. This system replaces manual recording with a digital-based system, enabling secure data storage, automatic report generation, and transparent access to financial information for the congregation through the website.
SISTEM INFORMASI MANAJEMEN PENGADAAN IKAN EKSPOR BERBASIS WEB MENGGUNAKAN METODE EOQ DAN ROP Novita andini
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.v11i2.8327

Abstract

The advancement of information technology plays an important role in improving the efficiency and accuracy of business processes, including in the fisheries sector. The company that serves as the object of this study is a marine product processing and export company that still manages raw material inventory manually, resulting in stock discrepancies and delays in the replenishment process. Therefore, this study aims to develop a web-based Export Fish Procurement Management Information System by integrating the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods to determine the optimal order quantity and automate reorder decisions. The research employed a quantitative approach using the waterfall system development model. The system was developed using native PHP with a modular architecture to support efficient web application development, while MySQL was utilized as the database management system to support centralized storage and integration of procurement data. The results show that the implementation of the EOQ and ROP methods provides optimal procurement recommendations for each type of fish. The highest EOQ value was obtained for Frozen Whole Tuna at 7,991 kg with an ROP of 986 kg, while Canned Crab recorded the lowest EOQ value of 1,239 kg with an ROP of 58 kg.  
Cover Volume 11 Nomor 2 Juli 2026
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

Abstract

Cover Volume 11 Nomor 2 Juli 2026
DESAIN E-WORKBOOK MATA KULIAH VOKASI TEKNIK PENGEMBANGAN PRODUK KULIT MENGGUNAKAN POSITIVE REINFORCEMENT DAN DUAL CODING Ulfah Nafi'ah; Anwar Hidayat; Mochammad Charis Hidayahtullah; Galuh Puspita Sari; Yuafni; Reinny Devi Febriyanti Razak
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.v11i2.7614

Abstract

This study aims to design a multimedia-based e-workbook using positive reinforcement and dual coding approaches to support the learning process of the Product Development Techniques for Leather course at Politeknik ATK Yogyakarta. The research employed the Design Thinking method, consisting of five stages: empathize, define, ideate, prototype, and test. Data were collected through focus group discussions (FGD) with course instructors and interviews with students to identify user needs. The final product is an interactive e-workbook that combines text and visuals simultaneously (dual coding) and incorporates motivational elements such as encouraging phrases, constructive instructions, and visually engaging layouts (positive reinforcement). Multimedia features such as Augmented Reality (AR), QR codes, and visually structured layouts were integrated to enrich the learning experience. Evaluation results from subject matter experts and students yielded an average score of 4.37 (on a 5-point Likert scale), indicating that the media is highly feasible and effective in supporting vocational learning.
KLASIFIKASI EMOSI LIRIK LAGU BERBAHASA INDONESIA MENGGUNAKAN MODEL INDOBERT: EMOTIONAL CLASSIFICATION OF INDONESIAN SONG LYRICS USING THE INDOBERT MODEL Wildan Suharso; Briansyah Setio Wiyono; Bahrul Ulum; Ruslan Yusuf; Ahmad Fauzi
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.v11i2.8263

Abstract

Song lyrics reflect human feelings, but manually identifying emotions in a dataset is a significant challenge. The urgency of this research lies in utilizing the latest model, IndoBERT-base-p1, in analyzing lyrics, so that it can be used by the music industry to understand audiences and be useful in psychology and language research. The dataset used consists of 360 Indonesian song lyrics obtained from Kaggle. This data is then broken down into chunks per line to allow for more detailed emotion analysis. The IndoBERT-base-p1 model will be trained to classify each line of lyrics into 10 predetermined emotion categories. The target output of this research is a trained model capable of classifying emotions with high accuracy. Based on the research results, it can be seen that the augmentation has proven effective. Song lyrics reflect human feelings, but manually identifying emotions in a dataset is a significant challenge. The urgency of this research lies in utilizing the latest model, IndoBERT-base-p1, in analyzing lyrics, so that it can be used by the music industry to understand audiences and be useful in psychology and language research. The dataset used consists of 360 Indonesian lyrics and 10 emotion categories. This data is then broken down into line-by-line chunks to allow for more detailed emotion analysis. The IndoBERT-base-p1 model will be trained to classify each line of lyrics into 10 predetermined emotion categories. The target output of this research is a trained model capable of classifying emotions with high accuracy. Based on the research results, it can be seen that the augmentation has proven to be quantitatively effective. Before augmentation, the number of data for some emotions was in the range of 250–350 samples, while dominant emotions such as love and sadness were above 1,400 samples. After augmentation, all emotion labels increased significantly and were in a more balanced range, namely around 1,100 to 2,600 samples per emotion. The precision values ​​for each emotion include sad 0.87, happy 0.85, angry 0.89, afraid 0.94, longing 0.89, love 0.89, disappointed 0.86, nostalgia 0.91, heartbroken 0.93.  
ANALYSIS OF THE INFLUENCE OF PROMPT ENGINEERING SKILLS IN LEARNING PROCESSES UTILIZING CHATGPT : PROBABILITY THEORY: PROMPT ENGINEERING, CHATGPT, EFEKTIVITAS PEMBELAJARAN, KUALITAS OUTPUT, PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, INTENSITAS PENGGUNAAN, ARTIFICIAL INTELLIGENCE, PLS-SEM, TEORI PELUANG. Thessa Roxana
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.v11i2.8311

Abstract

The development of LLMs like ChatGPT revolutionizes the world of higher education through providing customized explanations, interaction in problem-solving activities, and feedback instantly. However, the successful use of ChatGPT for learning activities is not only dependent on the presence of an AI system but on the proficiency of the student in creating effective prompts as well. The current study investigated the impact of Prompt Engineering Ability on ChatGPT Output Quality and Learning Effectiveness, as well as the subsequent associations among Performance Expectancy, Effort Expectancy, and Usage Intensity in accordance with the Unified Theory of Acceptance and Use of Technology (UTAUT). The data collection took place in the Probability Theory course and involved 385 undergraduate students. PLS-SEM analysis was performed in SmartPLS 4. The results indicated that Prompt Engineering Ability positively affected ChatGPT Output Quality (β = 0.599), which, in turn, enhanced Learning Effectiveness (β = 0.607). Both Prompt Engineering Ability and ChatGPT Output Quality positively affected Performance Expectancy (β = 0.372 and 0.367), which then influenced Effort Expectancy (β = 0.602) and led to more Usage Intensity (β = 0.578). These results combine the concepts of Prompt Engineering Ability, ChatGPT Output Quality, and UTAUT in a framework that is beneficial for Artificial Intelligence in Education (AIED) research in higher education.  
SISTEM REKOMENDASI FORMASI SEPAK BOLA MENGGUNAKAN GAUSSIAN NAÏVE BAYES BERDASARKAN AGREGASI ATRIBUT TIM DAN PEMBOBOTAN TAKTIS AHLI: FOOTBALL FORMATION RECOMMENDATION USING GAUSSIAN NAÏVE BAYES BASED ON TEAM ATTRIBUTE AGGREGATION AND EXPERT TACTICAL WEIGHTING Sandy Mulia Kesuma; Fajri Profesio Putra
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.v11i2.8314

Abstract

Football formation analysis has become increasingly data-driven to assess team formation suitability and support the coaching process, since intuitive formation selection has proven inefficient and lacks objectivity. This study proposes a football formation recommendation system using the Gaussian Naïve Bayes algorithm, based on team attribute aggregation and expert tactical weighting. The dataset consists of 661 outfield football players' attributes, summarized into six core attributes: Pace, Shooting, Passing, Dribbling, Defending, and Physical. Using the Knowledge Discovery in Databases (KDD) methodology, these attributes were aggregated at the team level and tactically weighted based on interviews with a professional football coach, producing three ratio features (Attack, Midfield, Defence) as the basis for classification. The model was evaluated using 5-fold cross validation, confusion matrix analysis, and ROC curve analysis to assess its discriminative ability. Evaluation results show an average accuracy of 82.8%, precision of 91.07%, recall of 89.53%, an F1-score of 86.71%, and an AUC of 0.715. A web-based application was built using Laravel, integrated with a Python prediction module, allowing coaches to upload team data and obtain formation recommendations along with their success probabilities.
PENERAPAN METODE EARLIEST DUE DATE DAN APPOINTMENT SCHEDULING PADA SISTEM INFORMASI IMUNISASI BALITA DI PUSKESMAS SIMUNDOL Rani Ritonga; Raissa Amanda Putri
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.v11i2.8319

Abstract

Childhood immunization services play an important role in improving children's health status. However, the recording and delivery of immunization schedule information at Simundol Public Health Center still faces challenges, such as delayed information, dependence on the maternal and child health handbook (KIA), and the absence of a structured immunization prioritization system. This study aims to design and develop a web-based child immunization information system by implementing the Earliest Due Date (EDD) and Appointment Scheduling methods, using a Research and Development (R&D) approach with the 4D model and the Waterfall development method. The resulting system involves two actors, namely admin and parents, with eight main modules covering child data management, automatic immunization prioritization based on due date (EDD), visit scheduling (appointment scheduling), immunization history, and reporting. The results indicate that the EDD method is able to sort immunization priorities automatically and in real time based on the nearest due date, while appointment scheduling helps organize visit schedules in a structured manner to reduce queue buildup. The system also makes it easier for parents to obtain digital information on their children's immunization schedules and history, replacing the maternal and child health handbook. Therefore, the implementation of EDD and Appointment Scheduling in the child immunization information system can improve data management efficiency and the timeliness of immunization services at Simundol Public Health Center.
PENERAPAN K-MEDOIDS PADA SISTEM INFORMASI PENGELOMPOKAN KASUS PERCERAIAN DI PENGADILAN AGAMA SIMALUNGUN: APPLICATION OF K-MEDOIDS IN THE INFORMATION SYSTEM FOR CLUSTERING DIVORCE CASES IN THE SIMALUNGUN RELIGIOUS COURT citra ramadhani; Amanda Putri Amanda Putri
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.v11i2.8326

Abstract

The increasing number of divorce cases at the Simalungun Religious Court has resulted in a growing volume of case data. However, the existing Case Tracking Information System (SIPP) is primarily used for administrative purposes and does not support the analysis of divorce case patterns. This study aims to implement the K-Medoids algorithm in a web-based information system to cluster divorce cases and present the analysis results visually. The study used 2,232 divorce case records from 2024–2025, consisting of case type, age, district, occupation, education, reason for divorce, and case year. The research stages included data preprocessing, Label Encoding, Min-Max Scaling, clustering using the K-Medoids algorithm, and cluster quality evaluation using the Davies-Bouldin Index (DBI). The results showed that the optimal number of clusters was K=3 with the lowest DBI value of 1.249, while the clustering evaluation produced a DBI value of 1.378. The analysis indicated that all clusters were dominated by the factor of continuous disputes and conflicts, with Cluster 2 containing the largest number of cases. The developed system is capable of presenting cluster visualizations, cluster characteristic analyses, and clustering reports to support data-driven decision-making at the Simalungun Religious Court.  

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