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All Journal Telematika Jurnal Pengabdian Mitra Masyarakat (JPMM)
Budi Artono
(Google Scholar ID: Hef9Vq0AAAAJ, Politeknik Negeri Madiun)
Computer Science & IT Education Medicine & Pharmacology Social Sciences Other

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Journal : Telematika

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Forest Fire Detector and Fire Fighting Monitoring System Using Solar Cell Based Internet of Things (IoT) Raden Jasa Kusumo Haryo; Budi Artono; Hanifah Nur Kumala Ningrum; Kumala Mahda Habsari; Isnani Mila Rahma
Telematika Vol 15, No 1: February (2022)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v15i1.1303

Abstract

Forest and land fires in Indonesia, based on National Board for Disaster Management (BNPB) are recorded that the burned area reached 328,724 hectares with 2,719 hotspots in the January – August 2019 period. The factors causing forest fires include climate change, human activities in forest areas, and forest officers that can’t be monitored in real-time. The internet of things (IoT) based solar cell-based forest fire detection using for a monitoring system in real-time. This research uses PV (Photovoltaic) as power on the system. This IoT is integrated with the android application so that the user can monitor forest conditions at any time. This research uses ESP8266 12 – F as an IoT module, Arduino Uno for controlling the device, and relays. This result data are based on laboratorium test. The result of this research is a monitoring system that can monitor smoke (MQ-2 sensor), temperature and humidity (DHT22 sensor), water pressure (pressure transmitter), current and voltage in the battery charging remotely and can be controlled automatically when the sensor detects the flame.
Smart Solar Tracker and Energy Control Based on Internet of Things (IoT) Budi Artono; Kunto Aji Yudhoyono; Raden Jasa Kusumo Haryo; Tri Lestariningsih
Telematika Vol 16, No 1: February (2023)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v16i1.2576

Abstract

ndonesia's electricity consumption per capita in 2022 will reach 1,173 kWh/capita sourced from the Ministry of Energy and Mineral Resources. This consumption rate increased by around 4% compared to 2021, as well as a new record high in the last five decades. This must be accompanied by the availability of energy from power plants, especially renewable energy, namely solar energy because this solar power plant is considered safer for the environment and has a minimal maintenance schedule. In addition, it requires maximum utilization of solar panels and a monitoring system in real time so that the reliability of the power plant is maintained, the Smart Solar Tracker and Energy Control Based on Internet Of Things (IoT) are the answer to this problem. This research uses PV (Photovoltaic) as a power source in the system accompanied by a tracker drive in the form of actuators and servo motors that move in the direction of the sun. This IoT is integrated with a database server so officers can monitor and control if the device is damaged. The IoT module in this research uses the ESP8266 which functions for device control and relay. In addition to reading the voltage and current, both incoming and outgoing, use the ACS 712 voltage sensor and current sensor, not only that, there is also an LDR sensor to read the position of the sun.
USB Breakout-Controlled Modular CNC System for Affordable Smart Manufacturing Solutions Budi Artono; Basuki Winarno; Hendrik Kusbandono; Frian Adi Anata; Shashi Kant Gupta
Telematika Vol 19, No 1: February (2026)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v19i1.3198

Abstract

The primary objective of this study is to design, develop, and experimentally validate a low-cost modular CNC system controlled via a USB Breakout Controller as an affordable machining solution for small-scale wood manufacturing. The research employed an experimental approach involving the fabrication of an 18 mm plywood test specimen under three feed-rate settings (40%, 50%, and 70%) to evaluate dimensional accuracy, machining time, and surface quality. The CNC prototype was constructed using stepper-driven linear axes, a 500 W spindle, and Mach3-based motion control. Validation procedures included repeated measurements of machined features using a ruler, surface quality inspection, and comparison of actual versus nominal dimensions. The results demonstrate that the system achieved dimensional deviations between 0.32 mm and 0.58 mm across trials, with the optimal performance observed at a 50% feed rate, which produced the lowest mean error (0.32 mm), smoothest surface finish, and efficient machining time (54 seconds). These quantitative findings confirm that the proposed system delivers machining accuracy comparable to entry-level commercial CNC routers while significantly reducing system complexity and cost. The study’s novelty lies in demonstrating the effectiveness of a USB-based modular controller architecture for precision wood machining—an area where low-cost systems typically suffer from poor stability and inconsistent performance. This research concludes that the developed CNC system is technically viable, repeatable, and suitable for vocational education and small-to-medium wood fabrication industries requiring affordable digital manufacturing solutions.
Co-Authors Basuki Winarno Basuki Winarno Budi Triyono Frian Adi Anata Hanifah Nur Kumala Ningrum Hendrik Kusbandono Hidayatullah, Nur Asyik Isnani Mila Rahma Kumala Mahda Habsari Kunto Aji Yudhoyono Lestariningsih, Tri Raden Jasa Kusumo Haryo Raden Jasa Kusumo Haryo Shashi Kant Gupta