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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknik Elektro dan Komputer TRIAC International Journal of Science, Engineering and Information Technology JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Edunitro JEECS (Journal of Electrical Engineering and Computer Sciences) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Fahmi, Monika Faswia
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Design of an Off – Grid Solar Power System for the Shashi Baby and Kids Food Industry in Bukittinggi Laksono, Dedi Tri; Laksono, Deni Tri; Fahmi, Monika Faswia; Dodi, Nofri
International Journal of Science, Engineering, and Information Technology Vol 8, No 2 (2024): IJSEIT Volume 08 Issue 02 31 July 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v8i2.27181

Abstract

The transition to renewable energy is increasingly important in addressing global energy demands and environmental issues. Solar energy has emerged as a sustainable option, particularly for small and micro businesses that often face challenges related to energy supply and costs. Shashi Baby and Kids Food, a micro – enterprise producing baby food, can benefit from an off – grid solar power system to support its operational needs, especially lighting during the night. The system design involves analyzing energy requirements, selecting solar panels, batteries, inverters, and simulating the system using PVsyst software to optimize performance. This system is designed to support operations with nine lamps for 12 hours a day, generating sufficient energy and ensuring adequate storage. Simulation results show that the system has a performance ratio (PR) of 75.86% and a solar fraction (SF) of 99.82%, indicating high efficiency and nearly fully meeting energy needs through solar power. Although there is a slight decrease in SF in December, this system design has proven to be efficient and reliable in supporting business operations. Further analysis reveals that the annual energy production reaches 1451 kWh, with specific production of 1210 kWh per kWp, confirming that this system can generate significant energy for the operational needs of the business.
Simulasi Kendali Sistem Suspensi Aktif Kendaraan Roda Empat Menggunakan Metode Full State Feedback dan PID Fahmi, Monika Faswia; Laksono, Deni Tri
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.v9i3.17645

Abstract

Tujuan mendasar sistem suspensi adalah untuk meredam kejutan dan getaran kendaraan akibat permukaan jalan yang tidak rata, dengan harapan meningkatkan kenyamanan dan keamanan saat berkendara. Suspensi yang dimodelkan pada sistem ini adalah jenis suspensi aktif, yaitu memiliki kemampuan merespon perubahan vertikal pada input jalan seperti lubang (pothole) dan gundukan (bump). Penelitian ini membahas pemodelan quarter sistem suspensi aktif dari kendaraan roda empat, pembentukan fungsi alih dan persamaaan ruang status, serta pengendalian menggunakan metode full state feedback  dan PID. Berdasarkan hasil simulasi di MATLAB 2015, respon close loop sistem saat pengujian metode full state feedback dengan gangguan jalan berupa gundukan sebesar 0,1 m, menunjukkan osilasi  dan settling time sebesar . Sedangkan menggunakan kendali PID menunjukkan hasil, osilasi  dengan settling time sebesar . Dengan begitu, dapat disimpulkan kendali PID lebih cepat melakukan performa peredaman suspensi meskipun diawali amplitudo defleksi roda yang cukup besar.
Design And Construction Of Cocoa Bean Drying Equipment For Regulating Water Content Using The Fuzzy Method Saputro, Adi Kurniawan; Iyabu, Sissy Rahmatia; Purnamasari, Dian Neipa; Ulum, Miftachul; Ubaidillah, Achmad; Fahmi, Monika Faswia
Jurnal Teknik Elektro Indonesia Vol 6 No 2 (2025): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v6i2.722

Abstract

Indonesia is one of the largest cocoa-producing countries, exporting much of its cocoa to Japan, China, and Malaysia. The export standard for dried cocoa beans is a maximum moisture content of 7%. Traditional sun drying methods in Indonesia do not consistently achieve this standard. Therefore, a cocoa bean dryer using the Mamdani type fuzzy method was designed to control moisture content. This dryer features heaters regulated by dimmers and sensors that monitor temperature and humidity in the drying chamber. The ESP32 microcontroller processes the sensor data and connects to the Internet for control and monitoring via Blynk software, enabling more efficient and faster drying compared to traditional methods. Testing showed the dryer functions as intended. Temperature sensor tests indicated minor variations between sensor and thermogun readings, with an average sensor reading of 42.3°C, thermogun reading of 42.5°C, an average error of 0.4°C, and a 1% error percentage. Humidity sensor tests revealed similar consistency, with an average sensor reading of 46.5%, hygrometer reading of 46.2%, an average error of 0.3%, and a 0.53% error percentage. Load cell tests showed an average sensor reading of 0.32 kg compared to a digital scale reading of 0.33 kg, with an average error of 0.01 kg and a 5.34% error percentage. Each sensor was tested 30 times. Fuzzy control testing yielded satisfactory results, with an average error of 0.4% compared to Matlab results. Moisture content measurements met the export standard. This system is expected to improve the quality and market value of Indonesian cocoa beans.
PENGATURAN WATER PUMP DAN DETEKSI KOIN PADA VENDING MACHINE JAMU TRADISIONAL MADURA Laksono, Deni Tri; Waskita Wicaksono, Muhammad Arya Rangga; Fahmi, Monika Faswia; Laksono, Dedi Tri
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3863

Abstract

Indonesia dikenal sebagai negara yang kaya akan keanekaragaman hayati, termasuk berbagai tanaman herbal yang tumbuh subur di sana. Tanaman ini, khususnya di Madura, sering digunakan sebagai bahan jamu tradisional yang memiliki potensi sebagai pengobatan herbal. Namun, industri jamu tradisional Madura menghadapi tantangan karena menurunnya minat masyarakat terhadap jamu dan minimnya penjual jamu. Oleh karena itu, diperlukan inovasi untuk melestarikan dan memperkenalkan kembali jamu tradisional, seperti penggunaan mesin penjual otomatis atau vending machine. Vending machine jamu tradisional Madura diuji dengan hasil positif, menunjukkan respons optimal dari semua komponen. Pengaturan water pump dengan delay 15865 ms mencapai takaran air yang diinginkan dengan toleransi ± 3 mL. Untuk deteksi koin, presentase keberhasilan sebesar 86% dapat ditingkatkan dengan penyesuaian delay pada program. Dengan inovasi ini, diharapkan dapat membangkitkan minat masyarakat dan melestarikan kekayaan warisan jamu tradisional Madura
Design of IoT-Based Smart Hydroponic Farming with Solar Energy for Sustainable and Precision Crop Production Fahmi, Monika Faswia; Laksono, Deni Tri; Laksono, Dedi Tri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): 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.v10i2.10

Abstract

Conventional hydroponic farming systems frequently encounter limitations related to unstable environmental control, suboptimal nutrient management, and strong dependence on grid-based electricity, which collectively hinder their sustainability and scalability, particularly in remote or energy-constrained regions. Recent studies have explored smart hydroponic technologies. However, many remain reliant on external power sources or lack integrated, autonomous control of multiple critical growth parameters. Therefore, this problem reveals a research gap in the development of fully self-powered and intelligent hydroponic systems. This study proposes the design and implementation of a solar-powered, IoT-based smart hydroponic farming system that enables real-time monitoring and closed-loop environmental control. The system integrates multi-sensor measurements, including pH, DS18B20 temperature, total dissolved solids (TDS), and light-dependent resistor (LDR) sensors, coupled with an on–off control strategy to regulate light intensity (115 ADC), water temperature (28 °C), pH (5.5-6.5), and nutrient concentration (840 ppm). A standalone photovoltaic energy subsystem, consisting of a 100 Wp solar panel and a 65 Ah battery, was designed based on a daily energy demand of 378.85 Wh to ensure continuous autonomous operation. Experimental results demonstrate high sensor accuracy, with measurement errors of 0.75% for pH, 0.095% for TDS, and 0.24% for temperature. Moreover, the proposed system effectively stabilizes environmental parameters within predefined setpoints, outperforming uncontrolled conditions. These findings confirm the system’s reliability and potential as a sustainable precision agriculture solution for off-grid hydroponic applications.
Pengembangan Modul Praktikum PLC Portable Terintegrasi Elektropneumatik Berbasis ADDIE pada Pendidikan Vokasi Tri Laksono, Dedi; Tri Laksono, Deni; Rizki, Adha; Fahmi, Monika Faswia; Abd Azis, Rahman
JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro Vol. 6 No. 1 (2026): April Issue
Publisher : Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/xh87gz60

Abstract

Abstrak— Penguasaan kompetensi Programmable Logic Controller (PLC) dan elektropneumatik sangat penting dalam pendidikan vokasi, namun terbatasnya fasilitas dan besarnya dimensi modul latih konvensional menghambat efektivitas pembelajaran praktikum. Penelitian ini bertujuan untuk mengembangkan modul praktikum PLC Omron CP1E portabel yang terintegrasi dengan aktuator pneumatik. Metode yang digunakan adalah Research and Development (R&D) dengan menerapkan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Hasil pengujian menunjukkan bahwa integrasi kelistrikan antara komponen input, PLC, dan output berfungsi 100% normal tanpa miss-trigger, serta peningkatan tekanan udara (15-75 PSI) terbukti mempercepat waktu respons silinder dari 36,33 ms menjadi 26,08 ms. Kesimpulannya, modul portabel berdimensi 28x50 cm ini sangat layak, aman, dan aplikatif sebagai media pembelajaran interaktif. Implikasi dari penelitian ini adalah tersedianya instrumen pembelajaran yang mampu menjembatani kesenjangan antara teori akademis dengan kebutuhan kompetensi teknis di industri, sehingga secara langsung dapat meningkatkan kesiapan kerja mahasiswa vokasi di era manufaktur modern.
Detection of Rice Diseases: Leaf Blast, Bacterial Leaf Light, and Brown Spot Using Image Enhancement and Faster Region-Based Convolutional Neural Network Fahmi, Monika Faswia; Laksono, Deni Tri; Ibadillah, Achmad Fiqhi; Laksono, Dedi Tri
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 2 (2026): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i2.287

Abstract

Rice diseases such as leaf blight, blast, and brown spot remain major constraints on food security and rural livelihoods across Southeast Asia, causing significant yield losses each year. In Indonesia, particularly in Lamongan, East Java, these pathogens threaten smallholder productivity and disrupt national rice supply chains. This study aims to enhance automated rice disease detection under real agricultural conditions by integrating image preprocessing techniques with a deep learning-based detection framework. The main contribution lies in developing a hybrid pipeline that combines RGB-to-grayscale conversion and contrast stretching prior to model training, effectively mitigating low-contrast conditions and noise commonly found in field-acquired image datasets. The enhanced images are subsequently processed using the Faster Region-Based Convolutional Neural Network (Faster R-CNN) with a ResNet-50 backbone to localize and classify disease symptoms. Experiments conducted on a dataset of 1,500 annotated rice leaf images achieved high detection performance, with accuracies of 97.37% for leaf blight, 94.12% for blast, and 95.24% for brown spot. Compared with the baseline Faster R-CNN model, the proposed approach improved classification accuracy from 0.8906 to 0.9297, reduced false negatives from 0.439 to 0.1998, increased foreground classification accuracy from 0.55 to 0.78, and descreased total loss from 0.839 to 0.6493. These results demonstrate that integrating RGB-to-grayscale conversion and contrast stretching significantly enhances feature representation, leading to improved detection accuracy, reduced error rates, and more stable training behavior. Overall, the proposed framework provides a robust and reliable approach for rice disease identification and offers strong potential for practical deployment in precision agriculture systems.
Co-Authors Abd Azis, Rahman Achmad Fiqhi Ibadillah Adi Kurniawan Saputro Dedi Tri Laksono, Dedi Tri Dian Neipa Purnamasari Iyabu, Sissy Rahmatia Laksono, Deni Tri Miftachul Ulum, Miftachul Nofri Dodi, Nofri Rizki, Adha Tri laksono, Dedi Tri Laksono, Deni Ubaidillah, Achmad Waskita Wicaksono, Muhammad Arya Rangga