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All Journal JOIV : International Journal on Informatics Visualization Aptisi Transactions on Technopreneurship (ATT) Emerging Information Science and Technology Journal of Social Research Eduvest - Journal of Universal Studies Jurnal INFOTEL
Rahaman, Mosiur
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Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Neuroscience Social Sciences

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Journal : JOIV : International Journal on Informatics Visualization

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Smart Control Upgrade: IoT-Enhanced Remote Management of Straightening Machine with NodeMCU ESP8266 Irawan, Bambang; Muhlasin, Muhlasin; Erzed, Nixon; Herwanto, Agus; Rahaman, Mosiur; Mooduto, Hanriyawan Adnan
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2975

Abstract

Straightening machines are essential in the oil and gas industry. These machines are intended to straighten bent drill pipes after the drilling process. The operator must be near the straightening machine for manual operation and control. This limitation prevents the operator from monitoring the machine's performance directly and efficiently. In response to this challenge, this study proposes to use the Internet of Things to enable remote control and monitoring of the straightening machine using the NodeMCU ESP8266 microcontroller. The proposed system integrates sensors and electronic components to collect and process critical data from the straightening machine. The INTER-METH method develops an IoT system to control the straightening machine remotely. The RemoteXY cloud server receives the collected data via a Wi-Fi network using the Message Queuing Telemetry Transport protocol. This setup enables real-time data retrieval by an Android-based application. The proposed system allows the user to monitor the machine's operational status and control it remotely, thereby increasing efficiency by up to 45% and reducing the total cost of operation by about 60%. With the implementation of IoT, the operator could remotely monitor the performance of the straightening machine, thereby increasing operator safety by more than 50%. These advances improve operators' safety conditions and simplify maintenance and operational processes. In addition, future research could focus on robust data security measures. These developing systems could be operated with other industrial IoT platforms and utilize data analytics for predictive maintenance, extending the machine's life.
Smartphone-based Indoor Navigation for Guidance in Finding Location Buildings Using Measured WiFi-RSSI Triyono, Liliek; Prayitno, -; Rahaman, Mosiur; Sukamto, -; Yobioktabera, Amran
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1528

Abstract

This study investigates a Wi-Fi-based indoor navigation system to determine building locations. The system was developed using the fingerprint method from the Received Signal Strength Indication (RSSI) of each Access Point (AP). The main components of a smartphone-based system use data from Wi-Fi and the Global Positioning System (GPS). The system developed for navigation is designed and implemented as an element of a dynamic, seamless mobility planning and building location route guidance application. Building map data is collected from Google Map data and enhanced by coloring the geographic location of buildings displayed on mobile devices. Navigational aids collected from sensors provide trip orientation and position updates. The approach of measuring the distance between known positions is compared to those displayed in the application with the haversine formula to measure the accuracy of the position displayed. A series of experiments were conducted in the Politeknik Negeri Semarang area, Indonesia. The experiment results showed that the Wi-Fi-based indoor positioning system was accurate within 7.050 meters of the error for that location, thus proving the system's usefulness for determining the location of buildings in the campus area. The measurement has not adopted the maximum APs placement for signal coverage and strength, only using the existing APs positions. The temperature nor humidity was neither measured in each area where the AP was installed, which is discussed later. This system can help visitors without asking, even though they have only visited once.
Co-Authors - Prayitno, - - Sukamto, - Agitha, Nadiyasari Alfia, Bayu Dwiki Amran Yobioktabera Andara, Melki Jonathan Asroni, Asroni Binastya Anggara Sekti Budi Tjahjono Gerry Firmansyah Hani Dewi Ariessanti Heri Wijayanto Herwanto, Agus Mooduto, Hanriyawan Adnan Muhlasin, Muhlasin Nixon Erzed Nizirwan Anwar RR. Ella Evrita Hestiandari Sembiring, Rinawati Sheha, Kholid Nur Slamet Riyadi Suhendar Suhendar, Suhendar Triyono, Liliek Ulum, Muhamad Bahrul Widodo, Agung Mulyo Wiraguna, Diky