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All Journal JINOP (Jurnal Inovasi Pembelajaran) JURNAL NASIONAL TEKNIK ELEKTRO CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro
Vando Gusti Al Hakim
Yogyakarta State University
Education Electrical & Electronics Engineering Other

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Augmented reality based android application for introduction of pneumatic hydraulic components Hatmojo, Yuwono Indro; Panjaitan, Christin Elisabet; Azis, Satria Muhammad; Al Hakim, Vando Gusti; Ratnawati, Dwi
JINoP (Jurnal Inovasi Pembelajaran) Vol. 10 No. 2 (2024): November
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jinop.v10i2.34733

Abstract

This study focuses on the utilization of augmented reality (AR) to enable comprehensive visualization of objects. Its primary objective is to develop and evaluate an AR application as a medium for introducing pneumatic hydraulic components. The research method employs a development research approach, following the assessment, design, development, implementation, and evaluation steps proposed by Lee and Owens. The feasibility of the product is determined through various assessments, including black box testing, validation by media experts, validation by content experts, and evaluation of initial user response. The outcome of this study is application software incorporating AR technology for the purpose of introducing pneumatic hydraulic components, along with a corresponding workbook. Whereas the application is compatible with the Android operating system and utilizes QR codes as markers for augmented reality objects, which are conveniently included within the workbook. Performance testing reveals that all application functions perform exceptionally well according to black box testing. Furthermore, the content expert feasibility assessment yields results categorized as “Good,” while both the media expert feasibility and initial user response tests indicate “Very Good” outcomes.
Programmable Logic Controller Analog Input Learning Module: An Expert-Based Evaluation Wati, Miladiah Setio; Maryadi, Totok Heru Tri; Badarudin, Rohjai; Al Hakim, Vando Gusti
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 9, No 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.24979

Abstract

This study aims to validate the analog input learning module of programmable logic controller (PLC). This module was developed using the OMRON CP1H PLC type which has analog input and analog output configurations. Scientific studies on the quality standards of learning modules are the basis for the development of this instrument. The content validity test was carried out by evaluation experts, while media and material experts evaluated the printed media and PLC material aspects. The results of the study showed an assessment of the media side with an average score of the format aspect of 14.5, the organizational aspect of 27.5, the shape and size of the letters of 13.0, and the consistency aspect of 29.5 which was categorized as "Very Eligible", while the average score of the attractiveness aspect was 22.0 and the space aspect of 12.5 was categorized as "Eligible". The assessment results from the material side with an average score of the self-instruction aspect of 57.0, the adaptive aspect of 6.5, and the user-friendly aspect of 14.0 which is categorized as "Very feasible", while the average score of the self-contained aspect of 13.5 and the stand-alone aspect of 6.5 is categorized as "Eligible". This module is considered feasible for learning PLC analog input with satisfactory assessment results.
Robot Tanggap Bencana Berbasis IoT untuk Identifikasi Korban pada Runtuhnya Bangunan Pramono, Herlambang Sigit; Hakim, Vando Gusti Al; Alfianto, Faris
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 1: March 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n1.1191.2024

Abstract

Natural disasters like earthquakes frequently cause building collapses, trapping many victims under dense rubble. The first 72 hours are crucial for locating survivors, but the dangers of secondary collapse hinder direct access. Teleoperated robots can provide vital visual data to aid rescue efforts, though many prototypes remain constrained by high complexity, cost, and minimal customizability. This work investigates developing an Internet of Things (IoT) integrated disaster response robot that delivers accessible and remotely controllable capabilities for victim identification in hazardous collapse sites. Requirements analysis was conducted through a literature review and first responder interviews to determine the critical capabilities needed. The robot was designed using 3D modeling software and assembled using 3D printed and off-the-shelf components. It features remote-controllable movement, real-time video feed, geopositioning, and remote lighting toggling. Rigorous lab tests validated core functionalities, including camera image acquisition, Bluetooth communication ranges up to 10 meters, and comparable GPS coordinate accuracy to a smartphone. Further field experiments showcased the robot's ability to transmit smooth video signals over distances up to 12 meters and its adeptness at navigating complex terrains, evidenced by its proficient left/right panning and ability to surmount obstacles. An affordable Internet-of-Things integrated disaster robot tailored to victim identification was successfully designed, prototyped, and tested. This robot aids search and rescue operations by delivering visual and spatial data about hard-to-reach victims during the critical hours after disaster strikes. This confirms strong potential, accessibility, and customizability for professional and volunteer urban search and rescue teams across environments and economic constraints.
Co-Authors Alfianto, Faris Azis, Satria Muhammad Dwi Ratnawati, Dwi Herlambang Sigit Pramono Miladiah Setio Wati Panjaitan, Christin Elisabet Rohjai Badarudin Totok Heru TM, Totok Yuwono Indro Hatmojo, Yuwono