Claim Missing Document
Check
Articles

Found 12 Documents
Search

Ultrafiltration-based drinking water service for SDG 6 in Pulau Kemarau Herlina, Herlina; Nasir, Subriyer; Agustina, Sri; Bayusari, Ike; Hermawati, Hermawati; Caroline, Caroline; Rahmawati, Rahmawati; Adipradana, Wirawan; Rendyansyah, Rendyansyah
Journal of Community Service and Empowerment Vol. 7 No. 1 (2026): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v7i1.44032

Abstract

This community service activity aimed to deploy, and commission decentralized drinking-water service points for a river-dependent community on Kemarau Island, Palembang, supporting Sustainable Development Goal 6 by expanding access to treated water at low operating cost. A needs-based field procedure included a site survey, raw-water intake assessment, demand and electrical-load estimation, UF–solar pumping system design, component selection, and installation of a 300 Wp photovoltaic array (3×100 Wp), a 100 Ah battery, a controller/inverter unit, a 450 W pump, an ultrafiltration (UF) unit, and 250 L/600 L storage tanks. The system then underwent commissioning tests (leak checks, pump start–stop tests, and continuous-run trials), operator training, and formal handover to the neighbourhood association. Results showed stable operation of the intake pump–UF pump–storage tank series. The 250 L treated-water tank filled within 20–30 minutes, indicating an effective flow rate of 8.3–12.5 L/min (≈500–750 L/h). Water appeared clearer and odourless, and pH increased from 5.5 (raw water) to 6.9 (treated water). The system demonstrated service readiness and initial treatment performance and may reduce reliance on grid/diesel pumping; however, routine logs and scheduled laboratory testing for turbidity and microbiological indicators are required to verify long-term water safety.
Implementation of Predictive Control Model and Obstacle Avoidance Fusion Sensor in Autonomous Vehicles Ali Zainal Abidin; Hera Hikmarika; Ike Bayusari; Hermawati Hermawati
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3340

Abstract

This research aims to develop an autonomous vehicle system based on swerve drive that is able to perform obstacle avoidance maneuvers in a precise, adaptive, and real-time manner. The system is designed by integrating three main components, a swerve drive mechanism to produce omni-directional movement, a fusion sensor (lidar, camera, and CMPS12 orientation sensor) to improve the accuracy of environmental perception, and a Predictive Control Model (MPC) as the main controller to set a stable and smooth motion trajectory. The prototype of the vehicle was designed using the Arduino Mega 2560 as the low-level controller and the ROS as the data processing center. The test was carried out in an indoor environment with basic movement scenarios, steering angle stability, object detection, and obstacle avoidance at various distances. The results showed that the swerve drive system was able to produce forward, lateral, rotation, and diagonal movements stably with an average steering angle error of 2–4 degrees. The fusion sensor shows consistent object detection performance, especially at a distance of ?80 cm. The initial implementation of the MPC successfully resulted in a smooth obstacle avoidance maneuver, although actuator response and parameter tuning still need to be optimized for near-range (<50 cm) obstacle scenarios. Thus, this study proves that the combination of swerve drive, sensor fusion and MPC is an effective approach to improve the navigation and safety capabilities of autonomous vehicles. The developed system can be the basis for further development towards autonomous vehicles that are more intelligent, responsive, and adaptive.