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All Journal TEKNIK INFORMATIKA REKAYASA Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Elektrika CYCLOTRON Multitek Indonesia : Jurnal Ilmiah Jurnal Teknik Elektro dan Komputer TRIAC Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Jambura Journal of Electrical and Electronics Engineering Journal of Robotics and Control (JRC) Jurnal Riset Rekayasa Elektro INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Journal Zetroem Among : Jurnal Pengabdian Masyarakat JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech SinarFe7 SCIENCE ELECTRO Electrician : Jurnal Rekayasa dan Teknologi Elektro JEECS (Journal of Electrical Engineering and Computer Sciences) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal INFOTEL Jurnal FORTECH
Achmad Fiqhi Ibadillah
Universitas Trunojoyo Madura
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Journal : Jurnal Fortech

 1 
Sistem Deteksi Kantuk Pada Pengendara Roda Empat Menggunakan Eye Blink Detection Siti Maslikah; Riza Alfita; Achmad Fiqhi Ibadillah
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.079 KB) | DOI: 10.56795/fortech.v1i1.221

Abstract

The number of traffic accidents in Indonesia is increasing. One of the main factors is the condition of a sleepy driver. In general, sleepy occurs at night when the body need to take rest. But in some people sleepy does not appear to depend on time. This situation needs more attention if we are driving so that the accident cause of sleepy can be avoided. The Republic of Indonesia Police noted that the traffic accidents increasing continued throughout the year, where almost the majority occurred because of drivers who were in a sleepy condition. From these problems a system is created that can automatically determine whether the driver is in conscious, sleepy or a sleep using the Haar Cascade Classifier method. The process begin with taking pictures using Pi Camera which is connected to raspberry to detect the face area using the Haar Cascade Classifier method then the regression tress algorithm on facial landmarks detection which is used to detect sleepy eyes with the output of an alarm to react so the driver is not sleepy. From the results of the overall trial conducted, the percentage of success was 90% and the error rate was 10% during the day from 20 experiments. While the percentage of testing at night obtained a value of 85% and an error rate of 15% from 20 experiments. With the distance between the camera and the driver between 30-50 cm and the slope of 0 - 45 degrees
Sistem Identifikasi Kesegaran dan Jenis Ikan dengan Metode K-Nearest Neighbor Berdasarkan Citra Mata dan Bentuk Ikan Febrianto Hadi Kusuma; Achmad Ubaidillah Ms; Achmad Fiqhi Ibadillah; Vivin Nahari Vivin Nahari; Koko Joni; Adi Kurniawan Saputro
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.383

Abstract

Fish is a food commodity that needs attention, to improve the quality of food production, especially the fish itself. The level of freshness of fish greatly affects the quality of food production both at the household and industrial levels, as well as determining the feasibility of the fish for processing and consumption. Currently, to determine the level of quality of fish freshness, it is still done conventionally by humans, while those who have used tools but still have deficiencies in both the level of accuracy and also the features they have are still small. In this study, a tool or system design was carried out that could identify the freshness level of a fish based on eye images taken using a webcam camera or the like as input from data to be processed using image processing. In addition, the system is given additional features to be able to identify the type of fish. So that this additional feature can help facilitate identification all at once. To classify the method used is the K-Nearest Neighbor method. The results of the data processing will be displayed in the form of a sorting system for output. In the research results obtained from the system this time from 280 datasets for identification of freshness were tested on 50 images with a success rate of 96% for fresh and 84% for rotten. While the results of identification of fish species from 50 images of test data from three types of fish obtained a success rate of 97.7% with a value of k = 5.
Sistem Identifikasi Kesegaran dan Jenis Ikan dengan Metode K-Nearest Neighbor Berdasarkan Citra Mata dan Bentuk Ikan Hadi Kusuma, Febrianto; Ubaidillah Ms, Achmad; Fiqhi Ibadillah, Achmad; Vivin Nahari, Vivin Nahari; Joni, Koko; Kurniawan Saputro, Adi
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.383

Abstract

Fish is a food commodity that needs attention, to improve the quality of food production, especially the fish itself. The level of freshness of fish greatly affects the quality of food production both at the household and industrial levels, as well as determining the feasibility of the fish for processing and consumption. Currently, to determine the level of quality of fish freshness, it is still done conventionally by humans, while those who have used tools but still have deficiencies in both the level of accuracy and also the features they have are still small. In this study, a tool or system design was carried out that could identify the freshness level of a fish based on eye images taken using a webcam camera or the like as input from data to be processed using image processing. In addition, the system is given additional features to be able to identify the type of fish. So that this additional feature can help facilitate identification all at once. To classify the method used is the K-Nearest Neighbor method. The results of the data processing will be displayed in the form of a sorting system for output. In the research results obtained from the system this time from 280 datasets for identification of freshness were tested on 50 images with a success rate of 96% for fresh and 84% for rotten. While the results of identification of fish species from 50 images of test data from three types of fish obtained a success rate of 97.7% with a value of k = 5.
Perancangan Lampu Jalan Dengan Panel Surya Terintegrasi Dan Pengaturan Otomatis Intensitas Cahaya Ulum, Miftachul; Ogik Saputra, Khoirul; Kurniawan Saputro, Adi; Neipa Purnamasari, Dian; Fiqhi Ibadillah, Achmad
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5103

Abstract

Indonesia is a country that has a tropical climate and is located on the equator and gets abundant sunlight all year round. So the use of solar energy as an alternative energy is very popular and is starting to be developed in all corners of the country by carrying out a lot of research and testing. In this research, solar cells are used as a source of electrical energy for street lights. The function of these components is SCC (solar charge controller) which regulates and controls the battery charging process, electrical energy is stored in the battery which functions to supply electrical power at night. The inverter functions to change direct current (DC) into alternating current (AC). The photocell sensor functions to regulate the lights, during the day the lights will turn off and turn on at night. There is a passive infrared receiver (PIR) sensor used to detect human presence. This sensor is used to control the light intensity of the lamp, if it is not detected by humans, the lamp will turn on normally. If human presence is detected, the lights will turn on brightly. There is also an automatic solar panel cleaner using a wiper which functions when the solar panels are dirty. The detection method uses current and voltage sensors, when sunlight received by the solar panel and the resulting electric current voltage decreases, the wiper will automatically activate to clean dirty solar panels, thereby maintaining optimal solar panel performance. The solar panel is equipped with a support/pole feature that is designed to go up and down, which makes it easier to use and does not require using a ladder during the maintenance process. The method used in this research is fuzzy. The fuzzy method is used for decision making on wiper conditions. In the research results, the results of this system were obtained from 12 trials of tool measurement results, Matlab simulations, and manual fuzzy logic calculations with a success rate of 91.6%.
Co-Authors - Haryanto 5Deni Tri Laksono A.A. Ketut Agung Cahyawan W Abd. Wahid Sholeh Abd. Wahid Sholeh Achmad Ubaidillah Achmad Ubaidillah Achmad Ubaidillah MS Achmad Ubaidillah Ms Adi Kurniawan Adi Kurniawan Saputro Adi Kurniawan Saputro ADI SAPUTRO Aditya Prayoga Ahmad Chaerul Al’ulla Amira Rohadatul Aisy Andre Putra Pratama Anugrah Rachmat Danu Anugrah Rachmat Danu Ayu Dian Lestari Candra Arif Kurniawan Dafid, Ach Deni Tri Laksono Deni Tri Laksono Desi Anis Anggraini Dian Neipa Purnamasari Diana Rahmawati Diana Rahmawati Diana Rahmawati Diputra, Hamzah Arifianto Dwiky Ariyanto, Kemas Efendi, Akhmad Faikul Umam Fajar Sidik, Rahmad Farkhan, M. Faswia Fahmi, Monika Febriana, Iftitah Febrianto Hadi Kusuma Firly Abdillah, Fauzan Hadi Kusuma, Febrianto Hanif Pradipta Hanifuddin Sukri Hardiwansyah, Muttaqin Haryanto Haryanto Haryanto Haryanto Haryanto Haryanto Haryanto Hendra Wahyu Aprilyanto Hirvy Nurul Anwar ilyasa, yois Balian Irfan Irianto Ivan Dwi Cahyo Karina Wulandari Khotibul Umam Koko Joni Kunjo Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibowo KURIAWAN, ADI Kurniawan Saputro, Adi Kurniawan, Denni KUSUMA, M.KURNIAWAN HADI Lailatul Riski, Ulfa Laksono, Deni Tri luqman hardianto M. Iqbal Arfiansyah MASLIKAH, SITI Maulana, Ahmad Afan Maulina Safitri MIFTACHUL ULUM Miftachul Ulum, Miftachul Mirza Pramudia Mitfatchul Ulum Mohammad Dwi Cahyo Mohammad Edi Santoso Mohammad Faizin Zaini Monika Faswia Fahmi Morshed, Md. Monzur Muhammad , Dian Purnomo Muhammad Bahriyan Firdaus Muhammad Mukhlis Febriansyah Nur Muhammad Rinaldi Muttaqin Hardiwansyah Nur, Achmad Zain Ogik Saputra, Khoirul pradipta, Hanif Prianto, Aries Rasyid, Moch Fadlian Riza Alfita Riza Alfita Riza Alfita Riza Alfita Riza Alfita Riza Alfita, ROSIDA VIVIN NAHARI S. Ida Kholida Saputra, Dedy Ega Sholeh Abdullah, Wahyu Siti Maslikah Siti Maslikah Siti Maslikah Sukri, Hanifudin Syafik Syafik Tania Octavriana Thinakaran, Rajermani Tri Laksono, Deni Tri Sakti Sutrisno Ubaidillah Ms, Achmad Ubaidillah, Achmad Ulum, Miftachul Vivin Nahari Vivin Nahari Vivin Nahari, Vivin Nahari Wibisono, Kunto Aji Yois Balian Ilyasa Zainal Abidin Zainal Abidin