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All Journal Jurnal Teknologi dan Manajemen Industri Terapan International Journal of Electrical Engineering, Mathematics and Computer Science
Jonser Steven Rajali Manik
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mathematics

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Development of Hand Gesture Detection Application for Slap Mosquito Game Based on Image Processing Rajhaga Jevanya Meliala; Nur Indah Chasanah; Jonser Steven Rajali Manik; Anggito Rangkuti Bagas Muzaqi; Syah Bintang; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 4 (2024): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.108

Abstract

The development of technology with digital image processing is often utilized to solve various problems in image processing, such as facial recognition, object detection, and interaction between users. In this study, we developed an interactive hand gesture-based game titled "Slap Mosquito" that utilizes image processing techniques to control the game through hand gestures. Using Rapid Application Development (RAD), Python, OpenCV, and Pygame methodologies, this game allows users to slap mosquitoes virtually in real-time through hand gesture recognition that is read by the camera and translated into in-game actions. RAD allows rapid development iterations and improvements based on user feedback, which is essential for improving system responsiveness and accuracy. This study focuses on detection precision, system responsiveness, and the impact of lighting on game performance, as measured using frames per second (FPS) and user gameplay results. The test results show that optimal lighting meets high detection accuracy, while low lighting conditions have a negative impact on accuracy and responsiveness. The results of this study provide insights for further development of gesture-based applications, especially regarding the importance of optimizing technical parameters and RAD methodology in improving user experience.
Pengembangan Website Nyuci sebagai Sistem Layanan Laundry Responsif Menggunakan Metode Scrum Nur Indah Chasanah; Jonser Steven Rajali Manik; Rajhaga Jevanya Meliala; Thoriq Muhammad Pasya; Aditya Wicaksono; Mindara, Gema Parasti
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.668

Abstract

Transformasi digital dalam industri jasa, termasuk sektor laundry, menjadi kebutuhan yang mendesak seiring meningkatnya tuntutan masyarakat urban terhadap layanan yang cepat, transparan, dan efisien. Banyak usaha laundry di Indonesia masih menggunakan sistem manual, yang sering menimbulkan berbagai permasalahan seperti kesalahan pencatatan, keterlambatan informasi status pesanan, dan ketidakefisienan dalam pengelolaan operasional. Untuk menjawab permasalahan tersebut, penelitian ini bertujuan untuk merancang dan mengembangkan website layanan laundry bernama Nyuci yang responsif dan dapat memenuhi kebutuhan tiga jenis pengguna, yaitu pelanggan, mitra laundry, dan admin. Pengembangan sistem menggunakan metode Scrum, salah satu kerangka kerja Agile yang mendukung kolaborasi tim secara iteratif dan fleksibel melalui tahapan sprint planning, daily scrum, sprint review, dan sprint retrospective. Data dikumpulkan melalui observasi, studi literatur, studi kompetitor, serta analisis logika sistem. Hasil analisis menghasilkan product backlog, use case diagram, entity-relationship diagram (ERD), class diagram, dan mockup antarmuka pengguna. Sistem ini dilengkapi dengan fitur-fitur utama seperti pelacakan status pesanan, rekomendasi layanan, dashboard analisis, dan sistem verifikasi mitra. Pengujian dengan platform Maze menunjukkan tingkat keberhasilan task sebesar 92,8% dengan waktu penyelesaian yang cepat. Website Nyuci tidak hanya mempermudah pelanggan dalam memantau pesanan, tetapi juga meningkatkan efisiensi kerja mitra serta menyediakan alat manajemen yang komprehensif bagi admin.
Co-Authors Aditya Wicaksono Anggito Rangkuti Bagas Muzaqi Endang Purnama Giri Gema Parasti Mindara Mindara, Gema Parasti Nur Indah Chasanah Rajhaga Jevanya Meliala Syah Bintang Thoriq Muhammad Pasya