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All Journal TEKNIK Jurnal Jurusan Pendidikan Teknik Elektro Prosiding Seminas Competitive Advantage Nusanatara of Engineering REKAYASA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING Elektrika Multitek Indonesia : Jurnal Ilmiah Jurnal Teknik Elektro dan Komputer TRIAC JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Applied Technology and Computing Science Journal JE-Unisla Jurnal Teknik Elektro dan Komputasi (ELKOM) Masyarakat Berdaya dan Inovasi International Journal of Science, Engineering and Information Technology J-Eltrik Informatics, Electrical and Electronics Engineering ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 SCIENCE ELECTRO Nusantara of Engineering (NOE) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Journal of Telecommunication and Electrical Scientific Jurnal FORTECH Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Riza Alfita
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Development Of Internet Of Things (IoT) Trainer As A Learning Media Using NodeMCU ESP32CAM Umam, Khotibul; Abdullah, Achmad Fiqhi; Ubaidillah, Achmad; Sukri, Hanifudin; Rahmawati, Diana; Alfita, Riza
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p53-65

Abstract

This study examines the potential and implementation of feature development on the ESP32CAM as an Internet of Things (IoT) based learning medium in the form of a trainer. This research addresses the gap in the use of the Node MCU ESP32CAM as IoT technology in educational media, which has not been widely utilized. The primary goal of this study is to analyze and explore the use of the ESP32CAM as a trainer to enhance IoT - based learning. The study employs an exploratory approach to investigate the use of the ESP32CAM, including an analysis of the application of the technology in a learning environment. Data were obtained through questionnaires distributed to experts and users/students, involving 45 students from the Elect rical Engineering program at Trunojoyo University Madura. The results of the study indicate that the IoT trainer using the Node MCU ESP32CAM is highly feasible, with an eligibility percentage of 91.08% from expert evaluations and 87.25% from user evaluations. It is hoped that the findings of this research can provide new insights into innovations in IoT use and serve as a foundational basis for further development in the related field
Design and Development of a Two-Tub Washing Machine Trainer Based on Arduino Nano Rahmawati, Diana; Alfita, Riza; Nur Rohman, Mohammad Izhandi Ifan; Nahari, Rosida Vivin; Setiawan, Heri; Setiawibawa, Rachmat; Giri, Joseph Robert
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p75-80

Abstract

A washing machine is a crucial device for society as it offers convenience and practicality. However, the efficiency of a washing machine can decline over time, especially in its components which may experience performance degradation or damage. This research involves designing a damage detection tool for washing machines, structured as a trainer operated in simulation form, serving as a learning medium to better understand the systematic functioning of washing machines. This trainer module uses toggle button switches installed on each cable line to simulate various damage conditions. The sensor used in this trainer is the PZEM-004T, which detects the current, voltage, and power used by the AC (Alternating Current) motor. To measure the motor's RPM (Revolutions per Minute) speed, a proximity sensor utilizing the Hall effect principle is employed. The microcontroller used to process the data generated by the sensors is an Arduino Nano, with the data displayed on an LCD (Liquid Crystal Display). In this research, the results based on the PZEM-004T sensor testing showed it could measure voltage, current, and power with an error rate of 7.3% and a success rate of 92.7%. The proximity sensor could measure motor speed with an error rate of 3.4% and a success rate of 96.6%. The main challenge in  the monitoring system was the real-time reading on the LCD screen frequently halting due to the long delay required to read the proximity Hall effect sensor values.
Rancang Bangun Mesin Telur Asin Berbasis Proportional Integral Derivative Diana Rahmawati; Moch Fadlian Rasyid; Riza Alfita; Achmad Fiqhi Ibadillah
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 2 (2022): Special Edition
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i2.12667

Abstract

Proses pembuatan telur asin biasanya memerlukan waktu cukup lama, yaitu antara 15-21 hari sesuai dengan tingkat keasinan. Salah satu cara untuk mempercepat prosesnya dengan memanipulasi tekanan osmotik. Cara memanipulasi tekanan osmotik dengan cara merendamkan telur bebek dalam larutan asam cuka agar cangkang telur bagian luar terkelupas serta proses pengasinannya dengan cara memanaskan telur bebek tersebut dengan suhu tertentu yang dikontrol dengan kontrol Proportional Integral Derivative Zeigler-Nichols. Rancangan bangun mesin ini terdiri dari tiga proses diantaranya proses pertama telur bebek direndam larutan asam cuka dengan pH sebesar 2,4 selama 15 menit, proses kedua dimana telur dalam proses pengasinan dengan perbandingan batubata : abu gosok : garam sebesar 1:1:2 selama 24 jam dengan kondisi suhu 65℃, dan proses ketiga dimana telur dalam proses pemasakan dengan suhu 80℃ selama 5 jam. Lama proses keseluruhan rancang bangun ini selama 1 hari 5 jam 21 menit dengan menghabiskan daya sebesar 5,21 KWh dengan biaya Rp 5731. Hasil keberhasilan telur asin sebesar 83,33% dengan rincian 20 telur asin dengan keadaan baik dan 4 telur dalam keadaan retak. Serta dari hasil uji laboratorium didapatkan nilai kadar garam rata-rata 0,82 %, kandungan mikroba salmonella bernilai negatif serta kandungan staphyloccus aureus nilai rata-rata 6 koloni/25g atau 0,24 koloni/g.
Identifikasi Nilai Nominal Uang Kertas Berdasarkan Warna Berbasis Image Processing Menggunakan Metode Template Matching Riza Alfita; Achmad Fiqhi Ibadillah; Aries Prianto
Jurnal Teknik Elektro dan Komputer TRIAC Vol 9, No 1 (2022): Mei 2022
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v9i1.12487

Abstract

Abstract— Mata uang rupiah adalah mata uang negara Republik Indonesia yang digunakan oleh masyarakat Republik indonesia untuk melakukan transaksi jual beli. Dalam perkembangan jaman proses teknologi pada komputer digunakan untuk mengetahui atau mengidentifikasi nilai dari mata uang, akan tetapi komputer juga memiliki kekurangan atau keterbatasan dalam membaca citra nilai pada mata uang dalam percobaanya. Dalam beberapa kasus pembacaan dengan menggunakan teknologi komputer juga melakukan  kesalahan dalam membaca nilai nominal pada mata uang, semua ini dikarenakan permasalahan penglihatan yang menjadi kekurangan teknologi komputer. Penulis sendiri memberikan solusi pendukung yaitu alat bantu mengetahui nilai mata uang yang menggunakan metode template matching. Template matching merupakan sebuat metode pencocokan gambar input dengan gambar uji. Penelitian menggunakan aplikasi matlab untuk alat bantu identifikasi, dalam serangkaian percobaan yang dilakukan dengan metode template matching menggunakan 6 nilai mata uang yang berbeda yaitu mata uang Rp.2000, Rp.5000, Rp.10000, Rp.20000, Rp.50000 dan Rp.100000 dari percobaan tersebut dapat mengdidentifikasi nilai mata uang dengan tingkat akurasi yang sangat baik mencapai 100%. Dalam percobaan yang lain, gambar mata uang tersebut di coba dengan rotasi yang berbeda. Hal ini bertujuan untuk menguji tingkat akurasi yang di miliki oleh metode template maching dan meskipun input gambar dirotasi metode ini masih dapat mengidentifikasi nilai mata uang dengan baik.Kata Kunci— Template Matching, Uang, Matlab
Poultry Disease Classification Using EfficientNetV2-L and MobileNetV2 Based on Fecal Images Rosida Vivin Nahari; Anisyafaah; Riza Alfita
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 3, August 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i3.2648

Abstract

Poultry diseases have a significant impact on livestock productivity; therefore, early detection is crucial to prevent infection spread. Deep learning approaches have recently shown promising results in improving disease classification accuracy. Convolutional Neural Network (CNN) models can identify poultry diseases through fecal images using automatic feature extraction. This study proposes poultry disease classification using two CNN architectures, EfficientNetV2-L and MobileNetV2. Each model was trained under three scenarios: baseline, class weights, and Focal Loss, using the Poultry Diseases Detection dataset from Kaggle consisting of four classes of chicken fecal images. The experimental results show that applying Focal Loss improves model performance compared to other scenarios. The EfficientNetV2-L model with Focal Loss achieved the highest accuracy of 99.51%, precision of 99.57%, recall of 99.51%, and F1-score of 99.52%. Meanwhile, MobileNetV2 performed reasonably well with faster training time. These findings indicate that combining Focal Loss with efficient CNN architectures enhances the classification of imbalanced datasets and has the potential to be implemented in real-time poultry disease detection systems
Co-Authors - Haryanto Abdul Rozaq Abdullah, Achmad Fiqhi Achmad Fiqhi Ibadillah Achmad Jauhari, Achmad Achmad Ubaidillah Achmad Ubaidillah MS Achmad Zain Nur Adi Kurniawan Saputro Adi Kurniawan Saputro Aery Rachmad, Aery Aji Wibisono, Kunto Aji, Kunto Andi Pratama, Febrian Anisyafaah Arda Surya Editya Ardiansyah, Yul Aries Prianto Aris Jujur Prasetyo Choirony, Iklil Vurqon Choirudin, Muhamat Darmawan, Fajar Dwika Dedy Prasetyo Deni Tri Laksono Dian Neipa Purnamasari Diana Rahmawati Diana Rahmawati Diana Rahmawati Diana RahmawatiT, Dikhyak Falakhul Akmal, M. Dina Zurayda Erari, Yosua Evita, Clarisna Farid Amir Marzelly Faswia Fahmi, Monika Felix Konstantin Niel Basori Fiqhi Ibadillah , Achmad Fiqhi Ibadillah, Ahmad Firly Abdillah, Fauzan Firman Mardiansyah Giri, Joseph Robert Hafid Wihangga Hairul Anam Hardiwansyah, Muttaqin Harianto Hariyanto, Mohammad Slamed Harnyoto, Harnyoto Haryanto HARYANTO Haryanto - Haryanto Haryanto Haryanto, Haryanto Heri setiawan Hidayah, Muhammad Nurul Hidayatulloh, Mohammad Hujjatur Rofiq Husniyah, Faridatul Ibadillah, Achmad Fiqi Indra Dwi Setiawan Ivan Dwi Cahyo Jaka Tryangga K Kartika Kartika Khabibiy, Odiy Syahnurrokhim Khotibul Umam Koko Joni Kunto Aji Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibowo KURIAWAN, ADI Kurniawan S., Adi Kurniawan Saputro, Adi KUSUMA, M.KURNIAWAN HADI Laksono, Deni Tri Lutqin, Jamal Mahmudi, Muhammad Imam Marzelly, Farid Amir MASLIKAH, SITI Maulana, Ahmad Afan MIFTACHUL ULUM Miftachul Ulum, Miftachul Minggu, Desiderius Mirza Pramudia Moch Fadlian Rasyid Muhammad , Dian Purnomo Muhammad A’inul Yaqin Muhammad Bahriyan Firdaus Muhammad Nurul Hidayah Muhammad Rinaldi Neipa P., Dian Ningtias, Trisni Wahyu Nur Rohman, Mohammad Izhandi Ifan Oryza Sativa Prasetyo, Galih Adhi Prianto, Aries R. Gerry Franata Rachmat Setiawibawa Rasyid, Moch Fadlian Retno Diyah Pramana Sari ROSIDA VIVIN NAHARI Saputra, Ahmad Reza Sukri, Hanifudin Tri Laksono, Deni Tri Lindah Utari Ubaidillah, Achmad Ulum, Miftachul ulum, miftahul Vivin Nahari, Rosida Yasin, Mohammad Yasin harianto Yundari, Yundari ZUHUDI, MOHAMAD AHSAN