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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) International Journal of Artificial Intelligence Research The Spirit of Society Journal : International Journal of Society Development and Engagement JURNAL PENDIDIKAN TAMBUSAI Applied Technology and Computing Science Journal International Journal of Marine Engineering Innovation and Research Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Scientia Jurnal Kewarganegaraan Journal Of Human And Education (JAHE) Innovative: Journal Of Social Science Research
Imam Sutrisno
Politeknik Perkapalan Negeri Surabaya
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : International Journal of Artificial Intelligence Research

 1 
Development of PCB Defect Detection System Using Image Processing With YOLO CNN Method Agus Dwi Santoso; Ferry Budi Cahyono; Brendi Prahasta; Imam Sutrisno; Agus Khumaidi
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (212.907 KB) | DOI: 10.29099/ijair.v6i1.343

Abstract

Inside the equipment there are many electronic components such as resistors, transistors, capacitors and so on. When used in the production of electronic equipment, PCBs are very influential in the manufacture of these electronic devices, for example, when there are only a few broken or damaged PCB paths, the electronic device cannot be operated properly. So it is very important in the PCB Quality Check process to check whether there is damage to the PCB or not. Usually in PCB inspection only direct checking is used in the conventional way. Therefore, in this study, the author tries to create and analyze a PCB flaw checking tool with the help of a camera that has a high revolution to replace human vision to make it easier and save costs. The application of this PCB checking tool uses a technology called a laptop and a camera. With these two technologies, Image Processing can be used to detect objects using the OpenCv and Tensorflow libraries. PCB flaw detection tool with the help of Image Processing with the YOLO Convolutional Neural Network method to help determine broken paths and drill holes on the PCB
PLC Greenhouse Automatic Temperature Control Using Fuzzy Logic Method to Optimize Pakcoy Growth saleh harliman; Wafatikhur Rosyad; Imam Sutrisno; Joko Endrasmono
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : International Journal of Artificial Intelligence Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.788 KB) | DOI: 10.29099/ijair.v6i1.362

Abstract

Vegetables are a good food, especially to meet the needs of vitamins and dietary fiber. However, in urban areas, there is very little land to develop vegetable farming. Hydroponic vertical planting system can be a solution. Pakcoy plants have growth that only takes 40 to 45 days to reach the ideal harvest age. The use of a greenhouse is also suitable for better pest control. However, the greenhouse has the characteristic of storing heat that it absorbs up to 5 degrees Celsius hotter than the outside temperature. The use of greenhouses with temperature control can accelerate the growth of vegetables. Based on this problem, making temperature regulation very necessary, the way is to adjust the rotation speed of the cooling fan using the fuzzy logic method so that the main goal is to save energy and air with a lower temperature can be flowed. The use of this hydroponic greenhouse module is proven to be able to maintain the temperature not much higher than the outside temperature. Comparison of fuzzy logic output values using Matlab software and fuzzy logic output values using PLC has an average error value of 0.27% for fan 1 and 0.35% for fan 2. The performance of the fuzzy logic method used can also be said to be good with an average response time of 61.8 seconds. With the performance of the system, the environment of the greenhouse can be suitable for the plant to grow optimally. 
Co-Authors Abdul Hafih Abyan Faruq Adianto Adianto Adianto Adianto Agus Dwi Santoso Agus Khumaidi Agus Prawoto Alif Zuhri Arfianto Anggie Oktavia Putri Antonius Edy Kristiyono Arfianto, Afif Zuhri Ari Wibawa Budi Santosa Bagus Setiawan, Danis Basuki Rahmat, Mohammad Bima Wahyu Raebawa Boedi Herijono Boedi Herijono Brendi Prahasta Budianto Budianto Daviq Wiratno Dewa Pamungkas Didik Dwi Suharso Dimas Aditya Prabowo Edy Prasetyo Hidayat Edy Setiawan Faris Nofandi Ferry Budi Cahyono Galih Anindita Hendra Aldi Prasetiyo Ihza Anfasa Dua Nurhidta Ii Munadhif Iie Suwondo Iie Suwondo Irma Rustini Iskandar Iskandar Izzul Luthfie Fauzi Muryadih Joessianto Eko Poetro Joko Endrasmono M. Basuki Rahmat Mardi Santoso Mat Sya'iin Mirna Apriani Mohammad Basuki Rahmat Monika Retno Gunarti Muhammad Dahri Muhammad Syahid Messiah Nasikhin, Khoirun Pranowo Sidi Pranowo Sidi Prima Yudha Yudianto Projek Priyonggo Richo Richo Rini Indarti saleh harliman Tri Mulyatno Budhi Hartanto Tri Mulyatno Budhi Hartanto Trisnowati Rahayu Urip Mudjiono Viky Aldianto Wafatikhur Rosyad Wisnu Sahputera, Adi Yuning Widiarti