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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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SISTEM PENGUJIAN HAFALAN AL-QUR'AN SURAT AL-GHASYIYAH MENGGUNAKAN METODE TRANSFORMASI WALSH Fikri Akbar; Fadlisyah; Ar Razi
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.v11i2.7721

Abstract

Memorizing the Qur’an is a highly recommended act of worship for Muslims, yet traditional learning methods often face constraints such as limited availability of competent teachers. With technological advancements, innovations to support the memorization process independently, objectively, and efficiently are greatly needed. This research aims to develop and measure the performance of an automated system for testing the memorization of Surat Al-Ghasyiyah (verses 1–26) through voice recognition using the Walsh Transform method. The Walsh Transform is applied to convert voice signals from the time domain to the frequency domain using basis functions valued at +1 and −1, extracting unique features from each verse to be compared with reference voice samples. The system was tested on all 26 verses using 6 training voice samples and 4 test voice samples per verse (total 260 samples: 156 training and 104 test). System performance was evaluated using four variations of probability constants: 0.3, 0.4, 0.5, and 0.6. Results indicate that the probability constant significantly affects system accuracy. Detection rates achieved were 70.2% (constant 0.3), 84.6% (constant 0.4), 89.4% (constant 0.5), and peaked at 93.3% (constant 0.6). With an overall average detection rate of 84.4%, it is concluded that the Walsh Transform method is highly effective and the developed system has potential as a reliable aid for Qur’an memorizers.
RANCANG BANGUN SISTEM SELEKSI DUTA GENRE (GENERASI BERENCANA) KAB. ASAHAN MENGGUNAKAN METODE SAW Adinda Mutiara Putri; Herman Saputra; Sri Rezki Maulina Azmi
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.v11i2.7725

Abstract

The Generation Planning Ambassador (GenRe) selection is an activity aimed at shaping youth as agents of change in disseminating information on family life planning, reproductive health, and the prevention of early marriage. The GenRe Ambassador selection process involves several assessment criteria that must be considered to determine the best participants. In the assessment process, there were 20 participants who were assessed based on several aspects determined by the selection committee. Therefore, a system is needed that can assist in processing participant assessment data in a structured manner. This study aims to apply the Simple Additive Weighting (SAW) method and build a web-based Decision Support System to assist in the processing and calculation of participant scores in the selection of the Asahan Regency GenRe Ambassador. This system uses five assessment criteria, namely public speaking, work programs during the contract period, attitude and personality, appearance and dress code, and insight and knowledge about the GenRe program. The SAW method is implemented through a process of normalization, weighting, and ranking to generate preference scores for each participant. The results of the study showed that the system built was able to automatically process data from 20 participants, perform SAW method calculations, and produce rankings of male and female participants based on 5 assessment criteria.  
PERANCANGAN STREAMER DILENGKAPI DENGAN SIKLUS BOILER OTOMATIS SEBAGAI ALAT STERILISASI BAGLOG SEBAGAI MEDIA TANAM Indah Pratiwi
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.v11i2.7730

Abstract

Energy demand in Indonesia's industrial sector continues to rise, particularly within oyster mushroom cultivation, which relies on LPG for baglog sterilization. However, this process is often inefficient, resulting in high fuel consumption and diminished mushroom yields. This study aims to analyze the influence of retention time and steam flow rate variations on thermal efficiency, specific fuel consumption, and sterilization effectiveness of an LPG-fueled baglog steamer. The research was conducted at the Chemical Engineering Laboratory, Sriwijaya State Polytechnic, from April to December 2025. The methodology involved preparing baglogs using wood sawdust, bran, corn flour, and lime, followed by the sterilization of 12 units. Experimental variables included retention times ranging from 2 to 6 hours (with a constant flow rate of 3.04 kg/h) and flow rates ranging from 2.79 to 3.25 kg/h (with a constant retention time of 4 hours). Observations encompassed temperature, pressure, and LPG consumption measurements, alongside sterilization verification through inoculation, incubation, and organoleptic examination. Results indicated a peak thermal efficiency of 58.34% at a retention time of 4 hours. The lowest specific fuel consumption was observed at longer retention times, while sterilization effectiveness reached 91.7%, yielding a total mushroom mass of 4,829 grams at 6 hours. It is concluded that the optimal operating condition is a retention time of 4 hours with a flow rate of 3.04 kg/h to achieve a balance between efficiency and effectiveness. Recommendations include the addition of thermal insulation to the steamer to minimize heat loss and enhance energy efficiency.
IMPLEMENTASI TEKNIK PARALLAX SCROLLING PADA ANIMASI 2D SEBAGAI MEDIA PEMASARAN SNACK BAROKAH: IMPLEMENTATION OF PARALLAX SCROLLING TECHNIQUE IN 2D ANIMATION AS A MARKETING MEDIUM FOR SNACK BAROKAH Abdul Rohman; Yuli Purwati; M. Syaiful Amin
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.v11i2.7732

Abstract

The increasing use of digital platforms is encouraging Micro, Small, and Medium Enterprises (MSMEs) to utilize more engaging promotional media to enhance the appeal of their products. However, many MSMEs still rely on conventional promotional methods that are visually unappealing and ineffective in reaching a wider audience. This study aims to implement parallax scrolling techniques in 2D animation as a promotional medium for the Snack Barokah MSME. This study employs the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collection, production, testing, and distribution. Data collection was conducted through interviews with the business owner as well as documentation regarding product information and promotional needs. The animation production process utilized Adobe Illustrator for creating visual assets and Adobe After Effects for assembling the animation by applying parallax scrolling techniques, thereby producing depth effects and dynamic visual movement. The research outcome is a 40-second promotional animation video with 1080p resolution, comprising seven main scenes showcasing product information and brand identity. The developed media was then tested using a questionnaire administered to 30 respondents representing the target audience. The evaluation results showed that the product recognition aspect received the highest average score of 4.76, indicating that the animated media effectively conveys product information. Overall, the developed animated media was assessed as having an attractive visual appearance and being effective as a promotional medium. Thus, the implementation of parallax scrolling techniques in 2D animation can be utilized as an effective digital promotional medium to increase product visibility and audience engagement for SMEs.
SENTIMENT ANALYSIS OF MOSQUITO-BORNE DISEASES ON SOCIAL MEDIA BASED ON BERT Dziky Ridhwanullah; Dwi Remawati; Ahmad Muhariya
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.v11i2.7733

Abstract

Mosquito-borne diseases, including malaria, dengue hemorrhagic fever (DHF), and chikungunya, remain significant public health challenges in Indonesia. With the extensive use of the internet, social media platforms such as X (Twitter) and Instagram have emerged as vital sources for capturing public sentiment in real-time. This study aims to identify and analyze Indonesian public sentiment regarding these diseases using a Deep Learning approach. The dataset comprises 1,800 records collected between 2024 and 2025 via web scraping. The methodology utilizes the BERT (Bidirectional Encoder Representations from Transformers) model for contextual feature extraction, evaluated through three Recurrent Neural Network (RNN) architectures: LSTM, GRU, and BiLSTM. The results reveal a predominant negative sentiment (56.99%), followed by neutral (32.99%) and positive (10.01%). While all models achieved high training accuracy (approx. 96%), the Gated Recurrent Unit (GRU) demonstrated superior generalization with the highest average validation accuracy of 94.24%. This study concludes that the GRU model is the most stable and effective architecture for classifying Indonesian public health sentiments on social media.
PERBANDINGAN DECISION TREE, RANDOM FOREST, DAN XGBOOST PADA KLASIFIKASI KODÁLY HAND SIGNS BERBASIS HAND LANDMARKS MUH ILHAM NUR HIDAYAT AKBAR; Farniwati Fattah; Andi Widya Mufila Gaffar
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

This study investigates the classification of Kodály hand signs using hand landmark features extracted from MediaPipe Hands. A landmark-based approach was chosen because it represents hand gestures as structured numerical features that are more efficient than raw image data. The objective of this study is to compare the performance of three tree-based machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, for classifying eight Kodály hand sign classes (Do–Do’). A dataset consisting of 8,000 samples was collected with a balanced distribution of 1,000 samples per class from 2 participants using the right hand only. Each sample is represented by 63 features derived from 21 hand landmarks with (x, y, z) coordinates. The data were divided using an 80% training and 20% testing holdout scheme and further validated using Stratified 5-fold cross-validation. Model performance was evaluated using accuracy, macro-precision, macro-recall, macro F1-score, and confusion matrix analysis. Experimental results show that XGBoost achieves the best performance with an accuracy of 0.9712 and macro F1-score of 0.9714 in the holdout evaluation and remains stable in cross-validation with an accuracy of 0.9768 ± 0.0046. Random Forest achieved slightly lower performance, while Decision Tree produced the lowest accuracy. Confusion matrix analysis indicates that most misclassifications occur between classes with similar landmark patterns, particularly La and Mi. Therefore, XGBoost is recommended as the most effective model for landmark-based Kodály hand sign classification.  
OPTIMASI PENERIMAAN SELEKSI HIBAH AKADEMIS DI SMA NEGERI 1 LIMA PULUH DENGAN METODE WP DIMAS PRATAMA; Jeperson Hutahaean; Andri Nata
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.v11i2.7735

Abstract

The selection process for academic grant recipients at SMA Negeri 1 Lima Puluh has been conducted manually, which may lead to inaccurate targeting, lack of objectivity, and longer decision-making time. This study aims to optimize the selection process of academic grant recipients by implementing a decision support system using the Weighted Product (WP) method. The WP method was chosen because it can rank alternatives based on preference values derived from several predetermined criteria, such as academic scores, family economic conditions, student achievements, and the number of family dependents. As for the number of alternatives, there are 15 alternatives, including Nazwa Ayundra (A1), Nur Ayudira (A2), Rangga Pramana (A3), Ratna Ajiya Gea (A4), Nachaysa Asita (A5), Luthfi (A6), Naysila Aulia Izati (A7), Nurannisa Adha (A8), Nur Jana Sakillah (A9), Nur Ilham Syalahudin Ginting (A10), Nurul Huda Ikhsan (A11), Punchani Rizky Simbolon (A12), Rahayu (A13), Rama Dhani Reno Franstyo (A14), Rizky Hamdani (A15), Reno Franstyo (A16), and Rizky Hamdani (A17). The research method includes data collection, system requirements analysis, system design, and the implementation of the WP method in the calculation and ranking process of grant candidates. The results show that the implementation of the WP method can assist the school in conducting the selection process in a more systematic, objective, and transparent manner. The designed system is also able to generate recommendations for academic grant recipients more quickly and accurately based on the highest preference values. Therefore, it can be concluded that the application of the WP method in a decision support system can improve the effectiveness and accuracy of the selection process for academic grant recipients at SMA Negeri 1 Lima Puluh.
BACKEND DESIGN OF A WEBSITE-BASED INTERNAL QUALITY AUDIT SYSTEM WITH AMI FEATURES, DIGITAL SIGNATURES, AND DATA SEARCH USING PROTOTYPING Hasman Budiadi; Ayuni Tiyasari; Setiyowati
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.v11i2.7736

Abstract

Internal quality audit is an important part of the Internal Quality Assurance System (SPMI) to ensure that activities in higher education run according to predetermined standards and improve quality on an ongoing basis. At Tiga Serangkai University, AMI activities are still carried out manually, so they tend to be less than optimal in terms of speed, efficiency, and accuracy of audit data management. This study aims to develop a website-based internal quality audit system, named SIAMI (Sistem Informasi Audit Mutu Internal), to facilitate audit management at LPM Tiga Serangkai University. The method used in developing this system is prototyping. This system was built using the Laravel framework and MySQL database by implementing the AMI feature flow, digital signature feature, and audit data search feature. The results of this study produced the SIAMI application that can assist LPM in managing audit data efficiently and structured, successfully transitioning the audit process from manual to digitalization.
INTEGRASI METODE HYBRID AGILE-KANBAN UNTUK PENGEMBANGAN SISTEM PEMESANAN DENGAN TEKNOLOGI QR CODE: INTEGRATION OF THE AGILE-KANBAN HYBRID METHOD FOR THE DEVELOPMENT OF A QR CODE-BASED ORDERING SYSTEM Muhammad Nurkholis; Acihmah Sidauruk; Melany Mustika Dewi
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.v11i2.7738

Abstract

The growth of the culinary industry in Indonesia requires business owners to improve service quality in order to remain competitive. However, many cafes and restaurants still rely on conventional ordering systems, which often result in long queues, order recording errors, and operational inefficiencies. This study aims to develop a QR Code-based ordering system by integrating the Hybrid Agile-Kanban method as a flexible and iterative system development approach. QR Code technology allows customers to access digital menus and place orders independently via their smartphones, thereby reducing queue times and improving order accuracy. The research methodology includes needs analysis using the PIECES framework, iterative system development based on Agile principles, workflow monitoring through Kanban visualization, and usability evaluation using the System Usability Scale (SUS).A case study was conducted at De’oppra coffee Yogyakarta to demonstrate the practical implementation of the proposed system in a real business environment. The results show that the developed system achieved a SUS score of 82.6, which falls into the “Excellent” category, indicating high usability and user acceptance. These findings suggest that the integration of Hybrid Agile-Kanban with QR Code technology effectively improves service efficiency and provides a user-friendly digital ordering solution that can be adapted to various culinary businesses.  
PENGEMBANGAN SISTEM PEMINJAMAN INVENTARIS BERBASIS WEB MENGGUNAKAN PENDEKATAN USER-CENTERED DESIGN Alia Agisna; Rizki Hikmawan
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.v11i2.7740

Abstract

Inventory management in education is often still carried out traditionally using physical forms, which results in various problems such as delays in data entry, duplicate data, and difficulties in tracking the status of borrowed items. This study aims to design a web-based inventory borrowing system that can improve efficiency and transparency in asset management. The system was created using a user-centered design (UCD) approach to ensure that user needs are the basis for designing the system. A system evaluation was conducted on 12 participants consisting of 10 students and 2 inventory management staff using the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and semi-structured interviews to evaluate user experience. In addition, interviews were also conducted to gain deeper insight into users' views on the developed system. The test results showed that the system received a SUS score of 85.25, which is included in the "Very Good" category and exceeds the global usability average of 68. The UEQ analysis showed that all dimensions of user experience provided positive results, with scores above 0.8. These findings indicate that the developed system offers a good level of usability and a satisfactory user experience. This system facilitates a more organized inventory borrowing process.

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