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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pengabdian Masyarakat Bangsa Journal of Technology and Computer (JOTECHCOM)
Santoso, Ahmad Imam
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Journal : journal of technology and computer jotechcom

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Design of an Automatic Trash Can Based on Ultrasonic Sensors and Arduino at LP3I Medan Polytechnic Tembusai, Zoelkarnain Rinanda; Santoso, Ahmad Imam; Butarbutar, Firma Deni
Journal of Technology and Computer Vol. 3 No. 1 (2026): February 2026 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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This study aims to design, develop, and test a prototype of an automatic trash bin based on HC-SR04 ultrasonic sensors and Arduino Uno R3 microcontrollers to improve cleanliness, efficiency, and awareness of waste management at the LP3I Polytechnic in Medan. This system is designed to detect the presence of users at a distance of less than 30 cm using an ultrasonic sensor, which then triggers the SG90 servo motor to automatically open the trash can lid and display information on capacity status and full warnings via a 16x2 LCD screen. After a 2-second delay, the lid will close again to prevent the spread of odors and maintain environmental hygiene. The prototype was developed through a research approach that included direct observation in the campus area, literature studies from reliable sources, and system design with hardware and software integration. Testing was conducted at strategic locations such as rest areas and campus corridors for 10 days, involving 100 trials with 10 daily tests per location. The test results showed a system effectiveness rate of 92%.
A Decision Support System for Selecting Employees Eligible for Bonuses at Uflo Technology Indonesia Using the Analytical Hierarchy Process (AHP) Method Tembusai, Zoelkarnain Rinanda; Santoso, Ahmad Imam; Panjaitan, Dodi Syahputra
Journal of Technology and Computer Vol. 3 No. 2 (2026): May 2026 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Decision Support Systems (DSS) play a crucial role in minimizing cognitive biases in human resource management processes, particularly in employee incentive or bonus schemes. This study aims to design, develop, and implement a web-based decision support system to determine which employees are most deserving of annual bonuses at Uflo Technology Indonesia by applying the Analytical Hierarchy Process (AHP) method. Conventional performance evaluations, which are often subjective, have the potential to reduce work motivation and lead to organizational injustice. To address these dynamics, this system objectively evaluates employee performance based on five main criteria: discipline, productivity, teamwork, work quality, and initiative and creativity. Empirical evaluation data is sourced directly from Uflo Technology’s internal systems, including digital attendance records and daily job reports. Through the AHP algorithm, each criterion is analyzed using hierarchical decomposition and pairwise comparison to generate a consistent global priority weight, where the Consistency Ratio (CR) is rigorously tested to ensure it remains ≤ 0.1. The final results of the study show that the system successfully performs automatic evaluation synthesis and alternative ranking. Computational validation using real-world data placed the Dodi alternative at the highest rank with a final score of 0.335. The implementation of this web-based system has proven capable of improving accuracy, transparency, and time efficiency in the managerial decision-making process within a corporate environment.
Co-Authors Butarbutar, Firma Deni Elsya Sabrina Asmita Simorangkir Eriyanto, Joko Gultom, Karyawaty Herman Mawengkang Kurniawan, Brama Mhd Adi Setiawan Aritonang Mubarroq Rambe, Basyit Muhammad Zarlis, Muhammad Panjaitan, Dodi Syahputra Rambe, Basyit Mubarroq Ringo, Rimmar Siringo Santoso, Laina Tussifah Simanullang, Maradona Jonas Siringgoringo, Rimmar Tembusai, Zoelkarnain Rinanda