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All Journal Jurnal Simantec CYCLOTRON JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech SinarFe7 PELS (Procedia of Engineering and Life Science) JEECS (Journal of Electrical Engineering and Computer Sciences)
Adi Kurniawan Saputro
Universitas Trunojoyo Madura
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Implementasi Sistem Pendeteksi Api 360 Derajat Dengan Metode Multiplexer Dan Logika Fuzzy Pada Robot Pemadam Api Beroda Adi kurniawan saputro; Sigit Rolis; Haryanto Haryanto; Kunto Aji Wibisono; Miftachul Ulum; Riza Alfita
CYCLOTRON Vol 5, No 1 (2022): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.435 KB) | DOI: 10.30651/cl.v5i1.10788

Abstract

Dalam bidang pendidikan, robot digunakan sebagai bahan riset dan pengembangan untuk menghasilkan sesuatu yang lebih baik. Salah satunya adalah robot pemadam api yang sering digunakan untuk mengatasi kebakaran yang terjadi pada suatu tempat. Masalah yang sering dihadapi dalam pengembangan robot pemadam api adalah pendeteksian dan penentuan titik api yang kurang akurat sehingga dapat memakan waktu yang cukup lama. Pada penelitian ini mengimplementasikan sistem pendeteksi api 360 derajat dengan metode multiplexer dan logika fuzzy untuk mengatasi permasalahan tersebut. Dengan menggunakan sensor IR Receiver 940nm dan UV-Tron pendeteksian api akan lebih akurat. Kontrol sensor api menggunakan STM32F103 dengan metode multiplexer dan kontrol Motor DC menggunakan STM32F407 sehingga pemrosesan data bisa berjalan lebih cepat. Pengolahan input dan output pada sistem ini menggunakan metode logika fuzzy sehingga sistem bisa berjalan lebih halus dan memerlukan waktu yang lebih sedikit untuk menentukan dimana posisi api berada. Pengujian pemadaman 1 titik api sebanyak 12 kali memerlukan rata-rata waktu 9 detik, pemadaman 2 titik api sebanyak 6 kali memerlukan rata-rata waktu 25,16 detik, dan pemadaman 3 titik api sebanyak 4 kali memerlukan rata-rata waktu 37,75 detik.Kata kunci: Multiplexer, Logika Fuzzy, Robot Pemadam Api, IR Receiver 940nm, STM32
Planning and Manufacturing of Four Axis Solar Panels With Reflector Angle Adjustments Miftachul Ulum; Adi Kurniawan Saputro; Koko Joni; Riza Alfita; Rosida Vivin Nahari; Siti A’isya; Achmad Ubaidillah
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 1 (2022): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i1.1628

Abstract

Solar thermal energy is one type of renewable energy, so this type of energy can be converted into other energy. This study uses a four-axis solar tracker with angle settings on the reflector to get optimal sunlight, scanning to determine the optimal lighting angle, measurement results are stored in real-time in the data logger. This study uses an LDR (Light Dependent Resistor) as a sunlight detector, equipped with several sensors, namely: current, voltage and power sensor (INA219), light sensor (MAX4409), and temperature sensor (DS18B20), and reflector angle as a parameter of solar efficiency panels. . The results showed that a four-axis solar tracker equipped with a reflector was able to increase the output power. The maximum power production produced by solar panels is: At a reflector angle of 300, the maximum power generated by a static panel is 143.43 W while a solar tracker is 175.15 W. At a reflector angle of 450 the maximum power generated by a static panel is 170.01 W and solar tracker 236.36 W. At an angled reflector of 600 the full power generated by a static panel is 87.77 W, and a solar tracker is 123.36 W. This study concludes that a solar tracker panel with an angle setting of 300 is more capable of maximizing power output than a static solar panel.
Microcontroller-based Bird Pest Repellent in Rice Plants Nonik Silvia Agustin; Koko Joni; Diana Rahmawati; Adi Kurniawan Saputro
Procedia of Engineering and Life Science Vol 1 No 1 (2021): Proceedings of the 1st Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.268 KB) | DOI: 10.21070/pels.v1i1.762

Abstract

In the cultivation of rice, there is never a problem with the name pests. If not controlled, the pest attack will affect the productivity level of the plant. Pests that attack rice plants include leafhoppers and birds. Birds have a very large percentage rate in attacking rice plants, namely the bondol bird which is one of the grain-eating birds. This bird is a very troubling pest for rice farmers because it causes crop yields to drop dramatically. There are several ways to repel birds, usually farmers using the manual method by making a rice field and crackle which is then tied to a rope. When using this method, farmers have to wait for agricultural land for approximately one month. This is considered inefficient considering the farmer's job is not only to wait for the rice plant until harvesting. So that in this study, a tool that will be used to repel bird pests will be designed by using solar panels as a source of voltage with sound output using a frequency of 1.5 - 3 KHz.
Rancang Bangun Sistem Deteksi Dan Perhitungan Jumlah Orang Menggunakan Metode Convolutional Neural Network (CNN) Indana Nihayatul Husna; Miftachul Ulum; Adi Kurniawan Saputro; Haryanto; Deni Tri Laksono; 6Dian Neipa Purnamasari
SinarFe7 Vol. 5 No. 1 (2022): SinarFe7-5 2022
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.959 KB)

Abstract

Currently, technology is progressing very rapidly in various fields. One area of ​​technology that is multiplying is the field of electronics. Everyone wants a comfortable and straightforward process in every activity. Indoor people counting is developing as a novelty in video surveillance. Generally, security monitoring systems use CCTV cameras. The use of cameras can be used for monitoring the number of people (people counter). The working principle of this tool is to detect objects in the room that are processed by the camera. The camera will then be processed using the CNN (Convolutional Neural Network) algorithm to detect and count the number of people in the room based on the images of people's faces and or heads. To detect images of people's faces and heads using selective search to obtain image regions which are then used as CNN input. In this case, the region is used to determine the possibility of object images. The results of the classification calculation of the number of people from the CNN method will later be forwarded to the GUI to process data using Visual Studio Code. From the processing of data from the GUI, then the data will be displayed on the monitor.
SISTEM PENENTUAN POSISI DALAM RUANGAN BERDASARKAN RECEIVE SIGNAL STRENGTH INDICATOR (RSSI) Dian Neipa Purnamasari; Adi Kurniawan Saputro
Jurnal Simantec Vol 11, No 1 (2022): Jurnal Simantec Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i1.19734

Abstract

Sistem penentuan posisi dalam ruangan (indoor positioning system) yang sangat penting untuk navigasi di dalam gedung atau bangunan. Dalam sistem ini, kekuatan sinyal yang diterima oleh perangkat penerima dari pemancar diukur untuk menentukan jarak antara perangkat penerima dan pemancar. Hal ini dilakukan untuk memberikan solusi dalam masalah yang sering terjadi di dalam ruangan seperti kehilangan arah atau tidak mengetahui posisi yang tepat di dalam gedung atau bangunan. Salah satu jenis pemancar yang sering digunakan dalam sistem penentuan posisi dalam ruangan berdasarkan pengukuran RSSI adalah WiFi dan Bluetooth. Penelitian ini mengusulkan sistem penentuan posisi dalam ruangan berdasarkan nilai pengukuran RSSI menggunakan media transmisi nirkabel antara lain teknologi WiFi dan Bluetooth. Penggunaan media nirkabel digunakan karena memiliki keuntungan, seperti jangkauan sinyal yang cukup luas dan biaya implementasi yang relatif rendah. Hasil pengujian didapatkan bahwa adanya perbedaan jarak antara titik referensi dengan titik estimasi dikarenakan adanya variasi yang besar terhadap fading dan shadowing di dalam gedung. Hal ini terlihat pada lokasi pengujian yang memiliki banyak properti seperti didalam ruangan terdapat sekat, vending machine dan properti lainnya, sehingga menyebabkan adanya peredaman sinyal, pembelokan sinyal dan pemantulan sinyal yang mengakibatkan penurunan kuat sinyal.Kata kunci: Bluetooth, Penentuan Posisi, RSSI, WiFi
SISTEM DETEKSI DAN PERHITUNGAN JUMLAH MANUSIA DALAM RUANGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Deni Tri Laksono; Indana Nihayatul Husna; Miftachul Ulum; Adi Kurniawan Saputro; Monika Faswia Fahmi; Dian Neipa Purnamasari
Jurnal Simantec Vol 11, No 1 (2022): Jurnal Simantec Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i1.19745

Abstract

Perkembangan teknologi yang pesat di bidang elektronik memberikan dampak positif dalam berbagai aspek kehidupan manusia, salah satunya dalam bidang monitoring atau pengawasan keamanan. Pekerjaan untuk menghitung jumlah pengunjung dalam suatu ruangan sangat mudah apabila dilakukan dalam skala yang kecil, namun akan menjadi sulit apabila perhitungan tersebut dilakukan pada skala yang besar. Dengan memanfaatkan teknologi pada bidang computer vision yaitu deep learning, penelitian ini bertujuan untuk mendeteksi dan menghitung jumlah manusia (people counter) secara otomatis. Pada penelitian ini menggunakan algoritma dari deep learning yaitu metode Convolutional Neural Network (CNN). Penelitian dilakukan menggunakan kamera secara real time Berdasarkan hasil pengujian, metode CNN dapat mendeteksi objek manusia dengan tingkat akurasi sebesar 86%, sistem dapat menghitung jumlah objek manusia dengan tingkat akurasi sebesar 62% dengan kondisi yang berbeda-beda seperti intensitas cahaya dan sudut kamera dalam pengambilan pengujian. Sedangkan tingkat akurasi jumlah orang yang masuk, keluar dan jumlah orang dalam ruangan dengan hasil data reporting yang disimpan dalam bentuk file .csv memiliki tingkat akurasi sebesar 73% ketika orang masuk, 64% ketika orang keluar dan 62% ketika orang dalam ruangan. Selain itu, sistem menghasilkan nilai akurasi sebesar 100% dalam menghitung jumlah orang dan memberikan output ruangan penuh ketika dalam ruangan melebihi nilai batas.Kata kunci : pemantauan; kamera; real-time; CNN; people counter
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.
Perancangan Lampu Jalan Dengan Panel Surya Terintegrasi Dan Pengaturan Otomatis Intensitas Cahaya Miftachul Ulum; Khoirul Ogik Saputra; Adi Kurniawan Saputro
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%.
Copper Winding Voice Coil Speaker Microcontroller Based Adi Kurniawan Saputro; Hanifudin Sukri; Andre Putra Pratama; Koko Joni; Achmad Fiqhi Ibadillah; Monika Faswia Fahmi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i2.1

Abstract

The voice coil is a vital speaker component, producing sound through electromagnetic vibrations. Generally, commercially available voice coils do not meet standard quality specifications, especially in terms of copper quality and adhesive strength. This problem often leads to issues such as coil burning or breakage during operation. On the other hand, ordering custom voice coils through manual winding processes requires considerable time. This study aims to address these limitations by designing an automated coil winding device that employs Pulse Width Modulation (PWM) techniques to control the speed of a DC motor, enabling the production of voice coils with specifications and durability tailored to specific needs. An Arduino Nano microcontroller controls the system and consists of a BTS 7960 motor driver, a Direct Current (DC) motor, an optocoupler sensor, a rotary encoder, a 4x4 keypad, and an LCD display with an I2C interface. Coil durability testing was conducted using an ohmmeter and an amplifier with a transformer ranging from 20A 45V to 30A 45V. The testing results indicate that coils produced with the automated winder can be adjusted to approach the 8-ohm specification, with a tolerance of 0.1 to 0.3 ohms, suitable for speaker requirements. The comparison results show that commercial voice coils exhibit resistances below 8 ohms, with the lowest resistance measured at 4.9 ohms for larger coils. During power testing, coils with a diameter of 35.5 mm and copper wire diameters of 0.20 mm and 0.23 mm broke when tested with a 20A 45V amplifier. In contrast, commercial coils remained stable up to an input power of 372 W and output power of 273 W, although a burning odor was detected. These findings indicate that the copper quality in commercial coils is superior in resisting amplifier power up to 30A 45V compared to coils produced with the automated device.
Co-Authors Achmad Fiqhi Ibadillah Achmad Ubaidillah Achmad Ubaidillah Ms Andre Putra Pratama Deni Tri Laksono Dian Neipa Purnamasari Diana Rahmawati Febrianto Hadi Kusuma Haryanto Haryanto Haryanto Indana Nihayatul Husna Khoirul Ogik Saputra Koko Joni Kunto Aji Wibisono Miftachul Ulum Monika Faswia Fahmi Nonik Silvia Agustin Riza Alfita Riza Alfita ROSIDA VIVIN NAHARI Sigit Rolis Siti A’isya Sukri, Hanifudin Ulum, Miftachul Vivin Nahari Vivin Nahari