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RANCANG BANGUN PROTOTYPE ALAT PENDETEKSI DAN PENCEGAHAN KEBAKARAN DI TEMPAT PENYIMPANAN BAHAN BAKU PT IKPP SERANG Mujiburohman Mujiburohman; Khasan Asrori; Muhamad Zakaria
Journal of Innovation And Future Technology Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3682

Abstract

Supervision at the storage of raw materials of PT Indah Kiat Pulp & Paper (IKPP) Serang carried out by the safety team directly and from CCTV monitoring is still not effective against fires because there is no fire detection device in the area, and for fire prevention in the place there is a sprinkler that is used to control the temperature by watering water based on the time not based on the actual temperature in the field, as well as when a fire occurs in the place reporting and watering Sprinkle still uses human labor. The research method used is the SDLC (Software Development Life Cycle) model with the Waterfall approach, which includes requirements analysis, system design with the integration of temperature sensors and fire sensors on Arduino devices, system implementation, functionality testing, and routine maintenance. The purpose of this research is to design a fire detection system that can provide early detection of fire spots, fire prevention by controlling the temperature of raw materials with automatic watering tools, as well as being able to run automatic watering and provide notifications directly to the security team through WhatsApp Gateway when a fire occurs. The results of the study show that the system developed can provide effective monitoring of environmental temperature and detect fires, which has the potential to reduce the risk of loss and improve response to emergency events in the industrial environment of IKPP Serang.
Development of a Smart IoT Dashboard for Sustainable River Water Quality Monitoring in Ciujung River Salsanabila Mariestiara Putri; Mujiburohman Mujiburohman; Rizaldy Khair
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16063

Abstract

The water quality of the Ciujung River in Serang has experienced a significant decline due to domestic and industrial waste pollution, directly affecting public health and environmental sustainability. Current monitoring systems remain largely manual and lack responsiveness, resulting in delayed and less data-driven pollution management. This study aims to develop an Internet of Things (IoT)-based water quality monitoring system integrated with an intelligent dashboard to support sustainable environmental programs. The proposed system monitors key water quality parameters, including pH, temperature, turbidity, and total dissolved solids (TDS), in real time. The methodology includes designing a microcontroller-based sensor prototype, integrating data communication modules (LoRa/GSM), processing data via a cloud server, and implementing interactive visualization through a web-based dashboard. Furthermore, the system features an early warning mechanism when water parameters exceed environmental quality thresholds. Field trials are conducted at several strategic points along the Ciujung River to evaluate data acquisition reliability, connectivity stability, and sensor accuracy. The expected outcome is an efficient, responsive, and adaptive monitoring system that supports data-driven decision-making in river water management and reinforces commitments to sustainable development.