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All Journal JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Jurnal Media Teknik dan Sistem Industri Madaniya Journal of Computing Innovations and Emerging Technologies
RUMINTO SUBEKTI
Politeknik Manufaktur Bandung
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Penyuluhan Perilaku Hidup Bersih dan Sehat serta Rancang Bangun Pendistribusian Air Bersih di Desa Ciela Kabupaten Garut Narwikant Indroasyoko; Dini Hadiani; Ruminto Subekti
Madaniya Vol. 4 No. 4 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.659

Abstract

Program Penyuluhan Perilaku Hidup Bersih dan Sehat (PHBS) merupakan salah satu metode yang bisa diterapkan bagi kegiatan peningkatan tingkat kesehatan masyarakat di seluruh tatanan kehidupan. Namun, berbagai penelitian menunjukkan bahwa tingkat kesehatan masyarakat Indonesia masih berada pada kategori rendah. Hal ini terutama disebabkan oleh kondisi lingkungan yang kurang sehat, faktor perilaku masyarakat yang tidak peduli dengan lingkungan sekitarnya, serta sulitnya memperoleh pasokan air bersih bagi warga dikarenakan belum adanya fasilitas yang memadai terutama berkenaan dengan pendistribusian air bersih tersebut. Adapun tujuan pengabdian pada masyarakat ini adalah untuk memberikan penyuluhan hidup bersih dan sehat kepada masyarakat untuk menjaga kesehatan diri dan lingkungan hidup sekitar serta pembuatan rancang bangun pendistribusian air bersih. Sasaran kegiatan ini adalah masyarakat Kp. Koropeak Ds. Ciela Kab. Garut. Metode yang digunakan diawali dengan observasi dan sosialisasi perilaku hidup sehat, bimbingan dan penyuluhan, kerja bakti lingkungan, serta pembuatan rancang bangun pendistribusian air bersih. Penyuluhan hidup bersih dan sehat pada masyarakat Kp. Koropeak Desa Ciela sangat bermanfaat dan memberikan dampak dalam peningkatan derajat kesehatan masyarakat, pengetahuan masyarakat tentang Perilaku Hidup Bersih dan Sehat dan kesadaran akan pentingnya PHBS, serta peningkatan kesadaran dalam menjaga kebersihan lingkungan sebagai bentuk pemberdayaan masyarakat untuk mencapai kualitas kesehatan yang lebih baik. Penerapan teknologi di bidang sistem pendistribusian air bersih dapat meningkatkan kesejahteraan masyarakat di Kp. Koropeak Desa Ciela karena terpenuhinya kebutuhan air bersih warga dengan efisiensi waktu dan tenaga. Pemasangan sistem distribusi air otomatis dapat meningkatkan efisiensi pemenuhan tempat penampungan air 500L hanya dalam 10-15 menit dengan debit air 0,67L/detik.
Performance Evaluation of CLAHE-Enhanced Edge Detection on Low-Light Faces Duddy Arisandi; Ahshonat Khoerunnisa; Ruminto Subekti; Aan Eko Setiawan; Cepi Ramdani
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 1 (2025): Volume 1 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i1.2

Abstract

Edge detection is an important early stage in an image processing-based face detection system. However, the quality of edge detection is highly dependent on the lighting and contrast of the input image. A common problem is the low contrast quality of facial images, which causes edge detection results to be suboptimal, especially in low-light images. This study evaluates the effect of the use of the Contrast Limited Adaptive Histogram Equalization (CLAHE) method on edge detection performance using Canny operators. Two scenarios were tested: edge detection without preprocessing and edge detection after image processing with CLAHE. Evaluation was carried out using two metrics: the number of contours and the total area of the contours of the detected results. The test results showed that the use of CLAHE consistently increased the number of contours and stabilized the contour area distribution, indicating an increased sensitivity to facial edge details. Although an increase in the number of contours can increase the risk of noise detection, the results suggest that CLAHE is able to clarify facial structures that were previously uncaptured. CLAHE has proven to be effective as an image enhancement method in edge detection-based facial detection systems
Development of a Human Machine Interface Based Learning System for Pump Performance Practicum Herman Budi Harja; Andri Pratama; Ruminto Subekti; Marta Hayu Raras Sita Rukmika Sari; Suyono Suyono
Jurnal Media Teknik dan Sistem Industri Vol. 10 No. 1 (2026)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v10i1.5692

Abstract

The digitalization of physical fluid phenomena in pump performance teaching media remains a significant challenge in the development of online and laboratory-based learning tools. This study aims to develop a Human Machine Interface (HMI) based device as a teaching aid to support pump performance practicum for students. The system is designed to provide informative, real time, and responsive visualizations associated with valve opening adjustments and motor shaft rotation. The development process follows the waterfall model, which includes requirement analysis, system design, implementation, and verification. The resulting HMI interface dashboard demonstrates interactive capabilities, enabling users to monitor and control system parameters effectively. The system responds dynamically to operational changes and displays variations in key parameters such as pressure and fluid flow rate in real time. The implementation of this HMI based learning media is expected to enhance students’ understanding of fundamental pump performance concepts by providing a more engaging and intuitive learning experience. Through dynamic visualization and interactive control features, the system bridges the gap between theoretical knowledge and practical application during laboratory sessions.
Deep Learning Implementation in Multi-Fingered Manipulator Robot for Pick and Place Food Serving Equipment Ruminto Subekti; Ismail Rokhim; Muhammad Sulaeman Gheofani Gheofani
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 7 No 2 (2025): Volume: 7 | Nomor: 2 | Oktober 2025
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v7i2.149

Abstract

Travel, tourism and hospitality companies have started to adopt RAISA systems in the form of chatbots, delivery robots, autonomous dishwashers, conveyor restaurants, self-service information kiosks and many others [1], [2]. This research focuses on the implementation of deep learning artificial neural networks for object recognition in determining the pose estimation of the manipulator robot and planning the grip on the end effector. A robotic manipulator with 4 degrees of freedom is used to support the estimation of pose angles and an end effector in the form of a 5-finger gripper is used to obtain various grips on objects with random shapes. An RGB camera is used for object recognition with an eye-on-hand configuration, which is linked to the end effector to obtain visual information on objects using the YOLOv3 deep learning algorithm. The end effector works optimally on objects with the basic shape of a tube, rectangular prism, hexagon prism and ten-sided prism with a maximum load that can be lifted of 303 grams with a success rate of 71.23%.
Co-Authors Aan Eko Setiawan Ahshonat Khoerunnisa Andri Pratama Cepi Ramdani dini hadiani Duddy Arisandi Herman Budi Harja Ismail Rokhim Muhammad Sulaeman Gheofani Gheofani Narwikant Indroasyoko Sari, Marta Hayu Raras Sita Rukmika Suyono Suyono