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All Journal Indonesian Journal of Engineering Research Indonesian Journal of Society Development (IJSD)
Rachmad Andri Atmoko
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Applied K-Nearest Neighbors (KNN) on Dust Supression Prototype Ryan Yudha Adhitya; Agung Kurniawan Nurhasan; Hendro Agus Widodo; Rachmad Andri Atmoko
Indonesian Journal of Engineering Research Vol 1 No 1 (2020): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.01.01.03

Abstract

Steam power plants that use coal as fuel have serious problems during operation. Before heading to the combustion process, coal is stored in an open field area. However, this results in fine particles of coal dust being exposed to wind and polluting the surrounding environment. The purpose of this study is to minimize the impact of pollution from coal dust by using the dust suppression tool. The tools that have been run manually or conventionally can be operated automatically to facilitate the operator in controlling dust suppression without the need to go to the field. This research proposes a prototype dust suppression equipped with dust and temperature sensors, the sensor data is a representation of the condition of the coal storage area which is processed using the K-Nearest Neighbors method to classify whether the condition of the storage area is normal or dusty. When conditions are dusty, the pump activates and directs bursts of water at the coal to minimize dust. In the application of the K-Nearest Neighbors method, center point 1 is obtained for normal conditions, with a dust density of 0.4353 mg / m3 and a temperature of 27.5818 °C. Whereas center point 2 for dusty conditions has a dust density of 2,374 mg / m3 and a temperature of 28.2667 °C. From 40 testing data in real-time, a success rate of 87.5% was obtained.
Electronic Equipment Loads Telemetry in Ferry Ship Passenger Room Based on Long Range Wireless Communication (LoRA) Aldian Dwi Pamungkas; Lilik Subiyanto; Afif Zuhri Arfianto; Hendra Agus Widodo; Rachmad Andri Atmoko
Indonesian Journal of Engineering Research Vol 1 No 1 (2020): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijer.01.01.01

Abstract

The development of information technology both software and hardware support development in various fields, especially in the field of electronics. This progress can be used in making automation systems and controlling electronic and electrical components. With the increasing need for system monitoring in real-time, a model that is more than just portable storage can be developed, using telemetry (remote measurement) systems. This research makes a prototype that is used for remote monitoring of electronic equip-ment telemetry in the passenger space of ferries using wireless communica-tions. Radiofrequency is used for electronic equipment located in the passen-ger space. The system is made using ACS 712 current sensor and ZMPT 101B voltage sensor to measure current and voltage monitored by long-range wire-less communications (LoRa) to maintain the strength of the amplifier signal and the distance that the LoRa can reach. By utilizing the frequency of the LoRa, it is expected to monitor the load current and voltage generated by electronic equipment in the ferry passenger's passenger space. From the monitoring tool obtained the test results of testing Television with power 27 W and Voltage 19 Volt obtained the percentage of voltage error is 1.09 % and the percentage of current error is 1.15 %.3. Based on the results of the test data, it can be concluded that the current, voltage in the passenger room of the JokoTole KMP ship is fluctuating. This needs to be done monitoring the current load on the ship, especially in the safety alarm system, electronic de-vices, pumps for the safety of shipping, which at KMP Joko Tole still uses con-ventional technology and the absence of adequate electrical system data sup-port.
Training on Using Google Data Studio for Digital Governance in Bendowulung Village, Blitar Regency Rachmad Andri Atmoko; Damas Dwi Anggoro; Rosalita Rachma Agusti; Lintang Edityastono
Indonesian Journal of Society Development Vol. 2 No. 6 (2023): December 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijsd.v2i6.6865

Abstract

In the context of rural public services, efficient data and information management is a vital element. Seeing the shortage of IT experts in villages, this paper explores the implementation of an intensive training program that focuses on the use of Google Data Studio. This program is designed to improve the ability of human resources in villages to manage and visualize data using tools such as Google Forms, Google Sheets, and Google Data Studio. Through this training, it is hoped that village officials will become more adept at creating visual dashboards that enable real-time data monitoring. The main aim is to facilitate more precise decision making by utilizing free information technology from Google, in order to improve the quality of public services in villages and encourage more effective and efficient digital village governance. This paper presents the training methodology, implementation, and potential impact of using Google Data Studio in Bendowulung village, Sanankulon District, Blitar Regency, as a case study
Co-Authors Agung Kurniawan Nurhasan Aldian Dwi Pamungkas Arfianto, Afif Zuhri Damas Dwi Anggoro Hendra Agus Widodo Hendro Agus Widodo Lilik Subiyanto Lintang Edityastono Rosalita Rachma Agusti Ryan Yudha Adhitya