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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan IPTEK The Journal for Technology and Science TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELINVO (Electronics, Informatics, and Vocational Education) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Electrical Engineering and Computer Science Lontara: Journal of Health Science and Technology International Journal of Community Service (IJCS) International Journal of Scientific Multidisciplinary Research (IJSMR) Lontara Journal Of Health Science And Technology
Fatchul Arifin
Universitas Negeri Yogyakarta
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ASRO (Amphibious Spy Robot): Prototipe Robot Amfibi Pengintai dengan First Person View dan Sistem Navigasi berbasis Sensor Kompas Rajif, R. Amirur; Arifin, Fatchul
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 4 No. 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (589.323 KB) | DOI: 10.21831/elinvo.v4i2.26689

Abstract

Robots have an important role in all aspects of life, including the military field. The purpose of making this final project are building hardware and software of robot and to know the performance of robots. The method used in making the final project consists of identifying and analyzing requirements, designing and manufacturing hardware and software, and testing. The result of the performance of ASRO is that, the buoyancy force of the robot is greater than the weight of the object, namely Fa = 22,808 N and W = 15,696 N or Fa> W which makes the robot float while operate in the water field. The maximum range of control system robot is as far as 0-30 meters without obstacles and 0-15 meters with obstacles, while the monitoring system is as far as 0-75 meters without obstacles and 0-30 meters with obstacles. The Robot navigation system has a percentage of accuracy of reading 93.3% and the percentage response of the average robot when rotating 90⁰ is 100%, rotating 180⁰ is 100%, and rotating 270⁰ is 100%.
Prototipe Kursi Roda Elektrik dengan Kendali Joystick dan Smartphone Junior, Andy Sadewa; Arifin, Fatchul
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 4 No. 1 (2019): May 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.053 KB) | DOI: 10.21831/elinvo.v4i1.28259

Abstract

Wheelchairs are one of the walking aids for people with disabilities and also for people who are unable to move from one place to another. The purpose of this research was to build hardware and software into a wheelchair prototype that can be controlled with joysticks and smartphones and to know its performance. The method in making the final project consists of the stages of need identification, requirements analysis, system design, tool making, tool testing and data collection. Based on the testing that has been done, the results are obtained that the control input from the smartphone through the application and also the joystick produces the output of the wheelchair prototype movement according to the instructions that have been set as input. The maximum distance of the control system from the smartphone is 0-10 meters either with obstacles or without obstacles. The response of the wheelchair prototype device has an average error of 0.024. Smartphone applications that are used as controls can be installed on the latest Android version "Nougat" and 4 versions of Android below. The speed of the wheelchair prototype on the joystick control matches the value of the resistance issued by the joystick module.
Pengembangan Media Pembelajaran Berbasis Role Playing Game (RPG) Untuk Siswa Kelas X SMK Negeri 3 Yogyakarta Swadyaya, Putu Yana; Arifin, Fatchul
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 4 No. 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1172.792 KB) | DOI: 10.21831/elinvo.v4i2.28323

Abstract

The purpose of this study is to develop a game like learning media program about resistor's color code reading and simple resistor circuits made in RPG Maker MV game engine for grade X vocational school student. The developed learning media includes: learning media program, student workbook, and a complementary module book. The method of research and development is used in this study. Descriptive analysis was used on the feasibility analysis of learning media. Result of experts and users test validation stated that the developed learning media is in the feasible category based on all validated and tested aspects. First educational expert's assessment shows feasibility level of 93.04% (Very Feasible). Second educational expert's assessment shows feasibility level of 72.17% (Feasible). First media expert's assessment shows feasibility level of 86.65% (Very Feasible). Second media expert's assessment shows feasibility level of 89.29% (Very Feasible). User trial assessment shows feasibility level of 78.52% (Feasible)
Classification of Organic and Inorganic Waste Types Based on Neural Networks Arifin, Fatchul; Habiburrahman, M.; Gusti, Wahyu Ramadhani
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.53284

Abstract

Garbage is the   residue of unused industrial production and household consumption. In Indonesia, waste is divided into 2 types, namely organic and inorganic waste. The two types of waste can be recycled in diverse ways, so they must be separated. So far, it is often difficult for the community to sort waste. This paper presents the process of recognizing and sorting waste automatically by utilizing Artificial Intelligence technology, especially Artificial Neural Networks (ANN). The ANN architecture used in this study consists of 4 layers. The number of neurons in each layer consists of 3 neurons in the input layer, 4 neurons in the hidden layer-1, 4 neurons in the hidden layer-2 and 1 neuron in the output layer. The ANN model that has been designed is trained, so that the best weight and bias model will be obtained, which in turn gives the ANN the ability to be able to sort waste properly. The best weights and biases will then be implanted into the Arduino UNO Microcontroller hardware. In this developed system, the microcontroller is given input obtained from 3 kinds of sensors, namely capacitive proximity, inductive proximity, and photodiode. While the input consists of 2 pieces of organic or in organic waste conditions. From the test results, it was found that the system has 100% training accuracy and 100% test accuracy.  
Co-Authors Agus Setyawan Aji Purnomo, Fendi Al Matiin, Muhammad Azril Haidar Alfath, Muhammad Rofiq Banu Ali Sophian Ali Sophian Anggun Winursito Anis Nurashikin Nordin Ardy Seto Priambodo Aris Nasuha Arselan Ashraf Arselan Ashraf Bekti Wulandari Caryn, Femilia Hardina Dessy Irmawati Dwi Marlina Dyah Muslihah Erman Agusta, Gino Faisal Ahmed Assaig Fauziah, Khasna Nur Fendi Aji Purnomo, Fendi Aji Gunawan, Teddy Surya Gusti, Wahyu Ramadhani Habiburrahman, M. Herjuna Artanto Herman Dwi Surjono Indradewa, Rhian Iskandar, Ranu Junior, Andy Sadewa Lahiya, Indah Wardati Malik Arman Morshidi Mauridhy Hery Purnomo Mir Suhail Alam Mira Kartiwi Mira Kartiwi Mohamed Hadi Habaebi Mohamed Hadi Habaebi Muhammad Faozan Mulad Khalik Muhammad Rofiq Banu Alfath Muslikhin Ningrum Astriawati Nur Hasanah Nuri Aslami Pahtoni, Tri Yuli Prabowo, Hernawan Prasetyo Prasetyo Raharjo, Muhammad Mukti Rahmahwati, Febri Suci Rajif, R. Amirur Rashidah Funke Olanrewaju Richard Sambera Sagala Rosminazuin Ab. Rahim Rozainanee Mohd Zain Suprapto Suprapto Swadyaya, Putu Yana Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Tri Arief Sardjono Winursito, Anggun Zainal Arifin Zainihariyati Mohd Zain