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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 PENDUKUNG KEPUTUSAN PEMILIHAN SUNSCREEN KULIT BERJERAWAT MENGGUNAKAN METODE FUZZY ANALYTICAL HIERARCHY PROCESS Elvina Mutiara Vina; Wahyu Fuadi; Yesy Afrillia
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.v11i2.7744

Abstract

Tingginya paparan sinar ultraviolet di wilayah tropis meningkatkan urgensi penggunaan sunscreen, terutama bagi pemilik kulit berjerawat yang memerlukan ketelitian dalam memilih produk agar tidak memperburuk kondisi kulit. Banyaknya pilihan merek di pasaran sering kali menimbulkan kesulitan bagi konsumen dalam menentukan produk yang paling sesuai. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendukung keputusan (SPK) pemilihan merek sunscreen terbaik untuk kulit berjerawat menggunakan metode Fuzzy Analytical Hierarchy Process (F-AHP). Metode ini dipilih karena mampu mengakomodasi ketidakpastian dan subjektivitas dalam penilaian kriteria. Data diperoleh melalui observasi, wawancara, dan kuesioner kepada 300 responden. Kriteria yang digunakan meliputi harga, tekstur, komposisi, kandungan SPF, dan jenis sunscreen. Hasil penelitian menunjukkan bahwa komposisi bahan merupakan kriteria paling dominan, diikuti oleh tekstur produk. Berdasarkan hasil perhitungan F-AHP, Azarine Calm My Acne Sunscreen meraih peringkat pertama dengan skor 0,6876, disusul oleh Facetology Triple Care Sunscreen (0,6371) dan Wardah UV Shield Acne Calming Sunscreen (0,6297).
PENGEMBANGAN VIRTUAL TOUR 3D GEDUNG UNIVERSITAS AMIKOM PURWOKERTO SEBAGAI MEDIA INTERAKTIF PENGENALAN KAMPUS: DEVELOPMENT OF A 3D VIRTUAL TOUR OF UNIVERSITAS AMIKOM PURWOKERTO BUILDINGS AS AN INTERACTIVE CAMPUS INTRODUCTION MEDIUM Manggala Yuda al Harits; Zulia Karini; Ely Purnawati
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.v11i2.7747

Abstract

Competition among higher education institutions in attracting prospective students has increased the need for more innovative and interactive campus introduction media. Conventional media such as brochures and static photographs are considered less effective in providing comprehensive spatial information about the campus environment. This study aims to develop a three-dimensional virtual tour of Universitas Amikom Purwokerto buildings using the Roblox platform as an interactive, engaging, and easily accessible campus introduction medium. The development process employed the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The 3D modeling of campus buildings was created using Blender software and integrated into the Roblox platform through Roblox Studio to produce an interactive virtual environment. Functional testing results indicated that all main system features operated properly, including character navigation, interactive information panels, and accessibility on both PC and mobile devices. User evaluation was conducted through a beta testing session involving 30 respondents using a five-point Likert scale questionnaire. The evaluation results showed that the average score of all indicators ranged from 4.37 to 4.77, with the highest scores obtained for the intention to recommend the media to others (4.77) and its effectiveness compared to conventional media (4.70). These findings demonstrate that the Roblox-based 3D virtual tour is an effective, informative, interactive, and easily accessible medium for introducing the campus environment to prospective users.
PENGEMBANGAN SISTEM PENERJEMAH BAHASA ISYARAT INDONESIA KE DALAM TEKS SECARA REAL-TIME UNTUK KOSAKATA TERBATAS MENGGUNAKAN MEDIAPIPE DAN LONG SHORT-TERM MEMORY (LSTM) Mimo Sukma Aliefasa; Arry Maulana Syarif
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.v11i2.7748

Abstract

In an increasingly connected society, the ability to understand each other is key to bridging differences. For the deaf community in Indonesia, Indonesian Sign Language (BISINDO) is the primary bridge for expressing their thoughts and feelings. However, when this language encounters a public environment where the majority do not understand it, communication often stalls. This situation inspired this research, which developed a system capable of recognizing and converting BISINDO gestures directly into text. The classification process uses the Long Short-Term Memory (LSTM) method, while hand, face, and body frame detection utilizes MediaPipe Holistic This study utilizes a dataset of 110 videos involving 10 participants to perform 10 BISINDO vocabularies frequently used in everyday conversation and 1 idle gesture class. Real-time testing results show that a model with 11 classes, using a bidirectional LSTM architecture, 1000 epochs, 64 hidden layer units, and a batch size of 32, is able to achieve 91.25% validation accuracy.
OPTIMASI KEPUTUSAN PEMBERIAN POTONGAN HARGA PRODUK AKSESORI MENGGUNAKAN METODE ARAS PADA DIANA ACCESSORIES Nurul Fadhila
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.v11i2.7751

Abstract

Providing price discounts is an important marketing strategy to enhance product attractiveness and increase sales volume, especially in accessory businesses such as Diana Accessories. However, the process of determining which products deserve discounts is often carried out subjectively and is not based on structured criteria analysis. This study aims to optimize decision-making in granting discounts on accessory products by using the Additive Ratio Assessment (ARAS) method as a decision support system. The ARAS method is used to rank product alternatives based on several criteria. The criteria used in determining price discounts are limited to five main factors, namely: monthly sales level, stock quantity, profit margin (%), market demand, and product selling price, thereby providing a clearer basis in the evaluation process.The results show that the implementation of the ARAS method is able to provide more objective and accurate recommendations in determining discount priorities. The system developed also assists management in making decisions more quickly and efficiently.In conclusion, the ARAS method is effective in optimizing discount decision-making, thereby improving sales strategies and business competitiveness.
AGILE SCRUM-BASED DOCUMENT MANAGEMENT SYSTEM DENGAN ROLE-BASED WORKFLOW UNTUK INDUSTRI MANUFAKTUR: AGILE SCRUM-BASED DOCUMENT MANAGEMENT SYSTEM WITH ROLE-BASED WORKFLOW FOR MANUFACTURING INDUSTRY Fachrur Rizhky Al Fadillah; Hafiyyan Putra Pratama
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.v11i2.7755

Abstract

Digital transformation in document management has become a crucial urgency to enhance efficiency and reduce reliance on physical documents. In the manufacturing sector, paper-based manual processes frequently trigger operational bottlenecks, such as sluggish approval bureaucracies, complex archive retrieval, and material waste. In response to these challenges, this study aims to design and implement a web-based Document Management System (DMS) equipped with an integrated role-based workflow mechanism. The system development approach adopted the Agile Software Development methodology using Scrum to ensure adaptive iterations throughout each sprint. Technically, the architecture was built using the Next.js framework with a PostgreSQL database and securely deployed within the company's intranet network. Testing results demonstrated a highly positive quantitative impact. The document approval cycle was successfully reduced from an average of six working days to just one day, representing an 83% surge in efficiency. Furthermore, the consumption of physical materials such as paper and toner was reduced by over 90%. The system also massively accelerated archive retrieval time, dropping from 10–30 minutes to a mere 1–3 seconds. In conclusion, the implementation of this digital DMS is proven to be vital in driving operational efficiency and realizing a paperless work ecosystem.  
PERANCANGAN MODUL NOTIFIKASI OTOMATIS PADA APLIKASI NEVIRA SEBAGAI POINT OF SALE USAHA LAUNDRY MENGGUNAKAN METODE SCRUM Wildan Suharso; hafizh
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.v11i2.7760

Abstract

The Nevira application is a web-based laundry business information system developed to support operational management, particularly transaction recording, service-progress monitoring, and information delivery to users. The main problem addressed is the absence of an automatic and real-time mechanism for communicating service-status information, which causes communication delays (a communication gap) between operational staff and the business owner. This study aims to develop an automatic notification module integrated into the Nevira system to convey service-status changes quickly and accurately. The development method used is Scrum, an iterative and incremental approach carried out through six two-week sprints, with product-backlog prioritization performed using the Eisenhower Matrix. Functional testing was conducted using Black Box Testing with the Equivalence Partitioning technique and complemented by User Acceptance Testing (UAT). The testing results show that all test scenarios (18 test cases executed on the Back Office and Point of Sale platforms) were valid/passed, while the UAT obtained a 100% acceptance rate from the primary user (the business owner). Therefore, applying the Scrum method in development and the Equivalence Partitioning technique in testing is proven capable of producing a functional, efficient automatic notification module that meets user needs.
PENGEMBANGAN APLIKASI PENYEWAAN SEPEDA MOTOR BERBASIS ANDROID UNTUK MENINGKATKAN EFISIENSI LAYANAN BOSS SEWA MOTOR PURWOKERTO: DEVELOPMENT OF AN ANDROID-BASED MOTORCYCLE RENTAL APP TO IMPROVE THE EFFICIENCY OF BOSS SEWA MOTOR PURWOKERTO SERVICES Alif Tarmad; Mohammad Imron
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.v11i2.7775

Abstract

The tourism industry in Purwokerto City has triggered an increase in demand for transportation services, especially motorcycle rentals. However, Boss Sewa Motor Purwokerto still faces efficiency constraints because the booking process is carried out manually via WhatsApp, which causes response delays and unsystematic data documentation. This research aims to develop an Android-based motorcycle rental application to digitalize business processes, improve the data management structure for admins, and simplify booking access for renters. The system development method used is the Waterfall method, which includes the stages of data collection, requirements analysis, system design, implementation, testing, and maintenance. System design was carried out using Unified Modeling Language (UML) tools, DFD, ERD, and interface design using Figma. The research resulted in the “Boss Sewa Motor Purwokerto” app, built using Flutter technology and the Firebase database to manage 15 motorcycles (8 Honda Beat and 7 Honda Vario). Functional testing using the Black Box Testing method shows that all main features, from account management to the real-time booking system, operate stably without technical failures. In conclusion, this application successfully replaced the manual system, improved operational efficiency, and provided more transparent and practical services for users and managers of Boss Sewa Motor.  
PERANCANGAN SISTEM E-BUSINESS BERBASIS GAMIFIKASI UNTUK MENINGKATKAN ENGAGEMENT PELANGGAN PADA UMKM TROPICAL CHIPS Putri Prasetyningrum; Ozzi Suria
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.v11i2.7779

Abstract

Digital transformation encourages MSMEs to develop e-business strategies that focus not only on online sales but also on enhancing customer engagement and loyalty. This study aims to design and evaluate a gamification-based e-business system for the Tropical Chips MSME to increase user interaction and encourage repeat purchases. The research method used is Research and Development (R&D) with the ADDIE model, which consists of the stages of analysis, design, development, implementation, and evaluation. The developed system integrates gamification features, including points, badges, challenges, a progress bar, and rewards into the e-business website. The system was tested on 30 respondents, consisting of prospective users or potential customers of Tropical Chips, using black-box testing, usability testing, and user engagement measurement. The testing results showed that all main system features met the functional requirements, with a 100% success rate in black-box testing. The usability testing results achieved a feasibility percentage of 86.5%, indicating that the system falls into the highly feasible category. The user engagement measurement showed that 83.3%of users actively used the gamification features, while 80.0% of respondents stated that these features increased their interest in making repeat purchases. This study develops an integrated e-business model that combines SWOT, PIECES, and PESTEL analyses with gamification features to improve customer engagement in food-sector MSMEs. Based on these results, it can be concluded that implementing gamification in the Tropical Chips e-business system can increase user engagement, enhance the customer experience, and support MSME competitiveness in the digital business era.
PREDIKSI HARGA PANGAN MENJELANG RAMADAN MENGGUNAKAN SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE DI SUMATERA SELATAN: FOOD PRICE PREDICTIONS AHEAD OF RAMADAN USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE IN SOUTH SUMATRA Cindy Dinata; Azera Pramesty; RA Aliffyaa Ramadhani; Merizka Azzahra; Ken Ditha Tania; Allsela Meiriza
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.v11i2.7787

Abstract

Food price fluctuations ahead of Ramadan in Indonesia are a seasonal phenomenon with a significant impact on regional economic stability. This study aims to develop a price prediction model for five major food commodities, namely medium rice, curly red chili, shallots, chicken eggs, and cooking oil, in South Sumatra Province using the Seasonal Autoregressive Integrated Moving Average (SARIMA) approach. The analysis stages began with stationarity testing of historical data, determining optimal model parameters, and evaluating accuracy using the Mean Absolute Percentage Error (MAPE) method. The results show that the SARIMA model effectively identifies seasonal trends with a very high level of accuracy, evidenced by an error rate of only 1.92% for medium rice. Projections for 2026 indicate that rice and chicken egg prices tend to remain stable, while horticultural products such as red chili show a downward trend. This study concludes that not all food commodities experience price increases before Ramadan; therefore, local government intervention should be conducted selectively based on the characteristics of each commodity. This model can be implemented as an early warning instrument to support economic stability in the South Sumatra region.
EVALUASI STABILITAS ALGORITMA SHA-256, BLAKE2, WHIRLPOOL, SKEIN TERHADAP VARIASI KARAKTERISTIK DATA Yahya Siregar; Rohid Syavelen Pahti; Habibi; Christnatalis HS
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.v11i2.7796

Abstract

Cryptographic hash algorithms play a crucial role in maintaining data integrity and security, particularly in systems processing large amounts of diverse data. However, algorithm selection is often based solely on standards and adoption rates without considering performance stability against variations in data characteristics. This study aims to assess the stability of the SHA-256, BLAKE2, Whirlpool, and Skein algorithms against variations in multimedia data, specifically text, images, music, and video, through two main dimensions: Resource Stability and Statistical Stability. A benchmarking-based computational approach was employed by measuring CPU, memory, latency, and throughput usage over ten runs. The stability level is described using the Coefficient of Variation (CV) to measure the relative variation between runs. The test results show that Whirlpool has the most consistent Resource Stability level with the lowest average CV values ​​for CPU (1.86%), memory (6.67%), latency (2.66%), and throughput (3.04%), which indicates the most stable performance compared to other algorithms. In terms of statistical stability, all algorithms exhibit an avalanche effect approaching ideal conditions (≈50%), an even distribution of hexadecimal outputs, and a bit ratio approaching 50:50 without significant bias. No pure cryptographic collisions were found; hash value similarities were detected by duplicate dataset content. The results confirm that the selection of a hash algorithm should consider the stability of resource utilization in addition to security aspects, especially in systems with high computational loads and diverse data characteristics.  

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