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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Mejuajua Jurnal Minfo Polgan (JMP) Journal of Technology and Computer (JOTECHCOM) Riau Jurnal Teknik Informatika
Rambe, Aripin
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Journal of Technology and Computer (JOTECHCOM)

 1 
The Influence of Understanding Level on the Development of Mobile-Based E-Money Technology Services (OVO Case Study) Jawa, Paimen; Syahputra, Dinur; Rambe, Aripin
Journal of Technology and Computer Vol. 2 No. 2 (2025): May 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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This study examines the influence of understanding level (X₁) and perceived usefulness (X₂) on the adoption of mobile-based e-money services, using OVO in Sumbul District, Indonesia, as a case study. Employing a quantitative causal-comparative design grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT2), the research surveyed 100 OVO users through stratified random sampling. Results indicate that both understanding (p=0.033, β=0.211) and usefulness (p=0.000, β=0.385) significantly enhance usage interest (Y), with their combined effect further validated by regression analysis (F-statistic=14.457). Demographic trends reveal higher adoption among tech-savvy males (52%) aged 36–45 (53%) with bachelor’s degrees (54%), underscoring the role of education and age in digital payment adoption. The study highlights practicality, time efficiency, and long-term benefits as key drivers, aligning with technology acceptance theories. However, barriers persist in rural areas and among less-educated populations, suggesting the need for targeted financial literacy programs and infrastructure improvements. These findings offer actionable insights for policymakers, fintech providers, and businesses aiming to accelerate Indonesia’s transition to a cashless economy. The research contributes to fintech adoption literature by contextualizing behavioral factors in emerging markets, emphasizing the interplay of cognitive, attitudinal, and demographic variables in e-money adoption.
Implementation and Utilization of AI in Conceptualizing Educational Video Content on the Importance of Using Sunscreen in Daily Activities Aulia, Ratih; Rambe, Aripin; Nuary Singarimbun, Roy
Journal of Technology and Computer Vol. 2 No. 3 (2025): August 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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This research explores the application of Artificial Intelligence (AI) in developing educational video concepts, specifically focusing on the daily importance of sunscreen use. Recognising AI's capacity to enhance human activities, this study leverages it as a tool for crafting engaging and informative video content. Sunscreen is vital for protecting skin from harmful ultraviolet radiation, necessitating effective public education—video being a key medium. Employing a qualitative, descriptive methodology, this study gathered data through observing and analysing educational videos on social media. The video concept creation primarily utilised ChatGPT, an AI platform, with final video production handled by InShot and CapCut. The findings reveal that AI significantly simplifies and accelerates the video concept generation process, drastically reducing production time. This also allows for the creation of a wide variety of video styles and themes, extending beyond just sunscreen education. The core benefits of integrating AI into this workflow include enhanced time efficiency, streamlined content creation, and remarkable flexibility in generating concepts tailored to specific educational goals. Ultimately, implementing AI in video production promises to empower both the public and content creators to disseminate information with greater effectiveness and creativity.
Decision Making System for Acceptance of Teaching Staff at Pondok Anugerah Special School with Simple Additive Weighting (SAW) Method Darmayanti, Putri; Ginting, Subhan Hafiz Nanda; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Special School (SLB) is a means of gaining knowledge for children with special needs. The quality of the school is inseparable from the quality of the teachers who provide teaching and education. Selecting prospective teachers who will teach and educate in schools is one way to improve school quality. Teacher recruitment is carried out to find teaching staff that suits the needs of the school based on the criteria determined by the school. Acceptance of teaching staff at this school is only by interview tests without going through the selection stage to see the talents and abilities of prospective teaching staff, after which the school negotiates by asking the teacher's approval for the acceptance of prospective teachers, so that the quality of prospective teachers to teach students with special needs is not so prominent, which results in ineffective criteria for the desired teacher to care for or guide students. A system that can help produce accurate assessment results by implementing a Decision Support System (SPK) is needed. One of the decision support system methods is the Simple Additive Weighting (SAW) method. The SAW method is a method that uses several assessment criteria that are important factors in the selection of teacher acceptance. The assessment criteria include education, experience, age, and the results of oral tests and interviews. From the results of these criteria will produce the assessment weight of each prospective teaching staff, then calculations will be carried out to find the ranking results based on the highest to lowest priorities. This research produces an information system to assist leaders in making the right decisions in the process of recruiting teaching staff at SLB Pondok Anugerah by applying the SAW method. 
Decision Support System for Determining the Best Employee with Web-Based AHP Method at Pariwisata Polytechnic Syahputra, Ilham; Ruziq, Fahmi; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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A Decision Support System (DSS) for Best Employee Determination Selection using the Analytical Hierarchy Process (AHP) method is an essential tool for enhancing employee performance and motivation. The awards given by companies to their best employees serve as a powerful incentive, driving each employee to consistently deliver their best work. To determine the best employee, companies assess performance over a specific period, considering various criteria. At Medan Tourism Polytechnic, these criteria include work behavior, work discipline, honesty, loyalty, and cooperation. The AHP method structures the decision-making process into a hierarchical model, allowing for systematic evaluation of alternative choices against the set criteria. By assigning weights to each criterion, AHP quantifies subjective assessments, providing an objective basis for comparing employees. This method ensures transparency and fairness in the selection process, promoting a culture of excellence and motivation among employees. Implementing a DSS with the AHP method not only simplifies the evaluation process but also ensures that decisions are based on measurable performance indicators. This fosters an environment where employees are encouraged to continuously improve their performance, contributing to the overall productivity and success of the organization. This system is integral in maintaining high standards and employee satisfaction within the organization.
Decision Making System for Determining the Best Students at Bina Satria Medan SMKS Using the Simple Additive Weighting (SAW) Method Wati, Suerna; Wahyuni, Dewi; Rambe, Aripin
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Web-based Best Student Decision Making System is an application developed to assist in the decision-making process in selecting the best students. With the Web-based best student decision-making system, the decision-making process becomes more efficient, transparent, and objective. This system can integrate student data from various sources, such as academic records, attendance data, test results, and other information. In addition, this system can also apply predetermined decision-making methods, such as the Simple Additive Weighting (SAW) method. By using this system, decision makers can easily access and analyse student data comprehensively. They can also see the results of ranking the best students based on relevant criteria. This allows decision-makers to make more objective and informed decisions in the selection of the best students. The design of this application is made using PHP version 8 programming language and MySQL as the database. With this application, it can make it easier to make decisions on determining the best students.
Utilizing DeepFace for Emotion Detection to Enhance User Experience in a School Library Application Hasibuan, Rizqy Sultan Pujangga; Purwawijaya, Ellanda; Rambe, Aripin
Journal of Technology and Computer Vol. 2 No. 4 (2025): November 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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The library is an essential facility that supports teaching and learning activities in schools. However, the library at SMP Pertiwi Medan still uses a manual system for book loan administration and has experienced a decline in students’ interest in visiting the library for reading. This study aims to design and develop a digital-based library application integrated with a visitor comfort detection system using the DeepFace method on a desktop platform. The application not only provides efficient features for managing book data, borrowing, and returning, but also measures visitors’ nonverbal comfort levels while they are in the library. This measurement aims to obtain data that can serve as a basis for evaluating comfort levels and designing strategies to increase students’ reading interest. The implementation of this application is expected to improve the efficiency of library management and provide a solution to enhance the quality of service as well as the attractiveness of the library for students.
Co-Authors Aulia, Ratih Baginda Harahap Darmayanti, Putri Debi Masri, Debi Dewi Wahyuni Dewi, RD. D. Lokita Pramesti Dicky Andika Sulaeman Ellanda Purwawijaya Fathoni, Mohamad Ginting, Subhan Hafiz Nanda Hasibuan, Rizqy Sultan Pujangga Hayana Hasibuan, Eka Hayana Hsb, Eka Ilham Syahputra Jawa, Paimen Kurniawan, Novri Lendra Lendra Nababan, Junerdi Nuary Singarimbun, Roy Nuhari Singarimbun, Roy Raihan Ramadhan, Muhammad ruziq, fahmi Syahputra, Dinur Vandan Wiliyanti Wati, Suerna