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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknik Elektro Uniba (JTE Uniba) International Journal of Science, Engineering and Information Technology Jurnal Pendidikan Sang Surya Jurnal Teknik Mesin, Industri, Elektro dan Informatika JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Rekayasa Proses dan Industri Terapan Jurnal Pengabdian Masyarakat Nian Tana Jurnal Akademik Pengabdian Masyarakat Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Insan Pengabdian Indonesia Journal of Renewable Energy and Smart Device
Dedi Tri Laksono, Dedi Tri
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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BAHAN AJAR EFEKTIF DAN KOMPREHENSIF MENUNJANG MATA KULIAH ELEKTRONIKA DASAR Mira Wellya Fatma; Dedi Tri laksono; Maresa Prasafitri; Rien Afrianti
Jurnal Pendidikan Sang Surya Vol. 10 No. 2 (2024): Jurnal Pendidikan Sang Surya
Publisher : LPPM Universitas Muhammadiyah Bulukumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56959/jpss.v10i2.279

Abstract

Pemahaman dasar elektronika sangat penting bagi mahasiswa teknik dan ilmu komputer karena menjadi fondasi bagi konsep-konsep seperti hukum Ohm, analisis rangkaian, dan prinsip kerja komponen elektronik. Namun, ketersediaan bahan ajar yang lengkap dan mudah dipahami masih terbatas, menyebabkan banyak mahasiswa kesulitan dalam mempelajari materi ini. Penelitian ini bertujuan mengembangkan bahan ajar interaktif berbasis teknologi menggunakan platform FlipHTML5. Metode yang digunakan mencakup survei terhadap mahasiswa dan dosen, pengembangan bahan ajar digital, serta uji coba dan evaluasi efektivitasnya. Hasil uji coba menunjukkan bahwa bahan ajar ini berhasil meningkatkan pemahaman dan motivasi mahasiswa. Sebanyak 94,1% responden menyatakan bahwa materi yang disajikan membantu pemahaman mereka, sementara 100% responden merasa puas dengan bahan ajar yang digunakan. Bahan ajar ini disusun dengan pendekatan interaktif yang mencakup teori, aplikasi praktis, dan animasi, sehingga memudahkan proses belajar. Dengan platform FlipHTML5, bahan ajar dapat diakses dengan mudah oleh dosen dan mahasiswa, mendukung pembelajaran secara daring maupun luring.
Pelatihan Flowgorithm untuk Meningkatkan Kemampuan Dasar Pemrograman Siswa SMK Negeri 1 Pangkalan Kerinci Riyanto Riyanto; Amir, Faisal; Fadilillah, Fadli; Oriyasmi, Fadhilah; Rozi, Fazrol; Laksono, Dedi Tri; Efendi, Novi
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 3 No. 5 (2025): September
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v3i5.6520

Abstract

The rapid development of digital technology requires vocational high school (SMK) students to have strong basic programming skills, yet algorithmic logic remains a major challenge. This study aims to enhance students’ understanding of basic programming through Flowgorithm training. The training was conducted face-to-face using demonstration and hands-on practice methods involving 32 eleventh-grade students of Software Engineering at SMK Negeri 1 Pangkalan Kerinci. Evaluation results show that most participants agreed the material met their needs and expectations, was engaging and easy to understand, and improved their programming logic skills. The study concludes that Flowgorithm is effective as a visual tool for programming logic. Its implication suggests similar training models can be applied in other vocational schools to strengthen students’ algorithmic thinking foundation.
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
RANCANG BANGUN SISTEM PEMANTAUAN ENERGI LISTRIK DENGAN AUTOMATIC TRANSFER SWITCH Laksono, Dedi Tri; Afrianti, Rien; Fatma, Mira Wellya; Prasafitri, Maresa; Alchudri, Hamdi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5492

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pemantauan energi listrik berbasis Internet of Things (IoT) dengan NodeMCU ESP8266, sensor PZEM-004T, serta Automatic Transfer Switch (ATS). Sistem ini didesain untuk meningkatkan efisiensi energi di industri rumahan dengan memanfaatkan dua sumber listrik, yaitu PLN sebagai sumber utama dan Pembangkit Listrik Tenaga Surya (PLTS) sebagai cadangan. Pengguna dapat memantau konsumsi energi secara real – time melalui aplikasi Blynk. Hasil pengujian menunjukkan bahwa sistem ini mampu mengirim data konsumsi energi, dan ATS berfungsi dengan baik dalam mengalihkan sumber daya listrik secara otomatis tanpa gangguan. Dengan pengembangan lebih lanjut, sistem ini berpotensi untuk diintegrasikan dengan penyimpanan energi dan algoritma pengoptimalan, guna meningkatkan efisiensi dan keberlanjutan penggunaan energi pada skala yang lebih luas. Penelitian ini diharapkan dapat memberikan kontribusi dalam penerapan teknologi IoT untuk pengelolaan energi yang lebih efisien di sektor industri.
Technical Performance Analysis of a 1 MWp Grid-Connected Photovoltaic System in Pangkalan Kerinci, Indonesia Using PVsyst Simulation Laksono, Dedi Tri; Laksono, Deni Tri; Fahmi, Monika Faswia; Afrianti, Rien; Dodi, Nofri
International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v10i1.32479

Abstract

The increasing demand for clean energy in Indonesia has accelerated the deployment of grid-connected photovoltaic (PV) systems. This study presents a technical performance analysis of a 1 MWp grid-connected PV system located in Pangkalan Kerinci, Indonesia, using the PVsyst v7.4.6 simulation software. The system comprises 1818 Trina Solar TSM-DE19-550Wp modules mounted on a fixed-tilt structure (2.2° tilt, 180° azimuth) with two SMA Sunny Central 400 MV-11 inverters (DC/AC ratio = 1.25). Meteorological data from Meteonorm 8.1 (1996–2015) was used to simulate annual irradiation and system output. The results show an annual energy production of 1,404,124 kWh, corresponding to a specific yield of 1,404 kWh/kWp/year. The Performance Ratio (PR) reached 82.75%, indicating high system efficiency under tropical climatic conditions. Loss analysis revealed that thermal losses (9.36%) and IAM losses (2.58%) were the dominant factors, while inverter losses accounted for 2.86%. Module mismatch and wiring losses were minimal at 2.15% and 1.5%, respectively. The high PR and low degradation assumptions confirm the suitability of the selected configuration for equatorial regions. This study provides a robust technical benchmark for similar PV installations in Sumatra and supports optimal design decisions for future utility-scale solar projects in Indonesia.
Performance Evaluation of a 250 Wp Solar Photovoltaic Water Pumping System in Tropical Climate: A Case Study in Pangkalan Kerinci, Indonesia Afrianti, Rien; Laksono, Dedi Tri; Laksono, Deni Tri; Fahmi, Monika Faswia
International Journal of Science, Engineering, and Information Technology Vol 10, No 1 (2025): IJSEIT volume 10 Issue 1 December 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v10i1.32508

Abstract

Access to clean water in remote tropical regions remains a critical challenge, particularly where grid electricity is unavailable. Solar photovoltaic (PV) water pumping systems offer a sustainable, off-grid solution. This study evaluates the technical performance of a 250 Wp PV-powered deep well water pumping system installed in Pangkalan Kerinci, Indonesia (0.41°N, 101.85°E). The system employs a single Trina Solar TSM-310PD14 module connected to a Sun Pumps SDS-D-128 DC membrane pump via an MPPT controller. Using PVSyst v7.4.6, a one-year simulation was conducted under realistic meteorological and hydraulic conditions, including a static water table at 4 m depth and a daily water demand of 0.30 m³. Results indicate that the system reliably meets annual water needs (109 m³/year) with negligible water deficit (0.163 m³, or 0.15%). The annual specific water yield is 522 m³/kWp/bar, while the system operates at an overall efficiency of 4.3% and a pump efficiency of 16.7%. Energy analysis shows 15.5 kWh/year delivered to the pump, with 42.6 kWh/year of excess solar energy unused due to tank capacity limits. The performance ratio (PR) is approximately 87%, confirming high system reliability in equatorial conditions. This study demonstrates the technical viability of small-scale solar pumping for rural water supply in Indonesia.
IMPLEMENTASI KENDALI BERURUTAN OTOMATIS BERBASIS LIMIT SWITCH PADA MODUL PRAKTIKUM PLC OMRON CP1E UNTUK PEMBELAJARAN OTOMASI INDUSTRI Laksono, Dedi Tri
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8326

Abstract

Sistem otomasi industri modern mengandalkan logika kendali berurutan yang responsif terhadap umpan balik sensor posisi. Namun, pemahaman konsep ini masih terbatas di kalangan mahasiswa akibat minimnya modul praktikum berbasis sensor. Penelitian ini bertujuan mengimplementasikan kendali berurutan otomatis menggunakan limit switch sebagai sensor posisi pada modul praktikum PLC portabel berbasis Omron CP1E. Metode penelitian mengikuti pendekatan Research and Development (R&D) yang meliputi perancangan, perakitan, pemrograman ladder diagram, dan pengujian fungsional berulang. Sistem dirancang agar satu perintah start memicu siklus penuh: Cylinder 1 maju, menekan limit switch open, Cylinder 2 maju, Cylinder 1 mundur, Cylinder 2 mundur, lalu mengulang hingga timer habis. Hasil pengujian menunjukkan bahwa seluruh transisi gerak terjadi secara akurat sesuai urutan yang diprogram, tanpa miss-trigger maupun intervensi manual. Temuan ini membuktikan bahwa integrasi limit switch dengan PLC mampu merealisasikan kendali closed-loop sederhana yang andal. Modul ini memberikan pengalaman belajar autentik dan direkomendasikan sebagai media pembelajaran kendali berbasis kondisi nyata di pendidikan vokasi.
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.
Modelling and Simulation of Multistep Constant Current Fast Charging for Lithium-Ion Batteries Using a PID Controlled Synchronous Buck Converter Fahmi, Monika; Deni Tri Laksono; Dedi Tri Laksono
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.708

Abstract

High-current fast charging of lithium-ion batteries in electric motorcycles is challenged by current instability, voltage overshoot, and accelerated degradation caused by nonlinear electrochemical and thermal dynamics. Conventional single-stage buck converters exhibit limited capability in maintaining precise current regulation across wide state-of-charge (SoC) variations, thereby constraining both efficiency and operational safety. This study proposes a novel adaptive multistep constant-current (MS-CC) fast charging framework specifically tailored for electric motorcycle applications, implemented using a PID-controlled synchronous buck converter. Unlike existing MS-CC approaches, the proposed method introduces a unified control architecture that dynamically schedules five discrete current levels based on real-time voltage thresholds, enabling seamless transition between charging stages without inducing transient spikes. The system is modeled and validated in MATLAB/Simulink, with PID parameters tuned via the Ziegler–Nichols closed-loop method. Simulation results show that the charging current accurately tracks its reference within 0.25% across all stages, with negligible overshoot and stable transient performance. From a practical standpoint, the proposed strategy aligns with the operational constraints of electric motorcycles, such as compact onboard chargers, limited thermal management capacity, and frequent fast-charging cycles. Furthermore, the method reduces switching and conduction losses, mitigates thermal stress, and enhances overall charging efficiency while preserving electrochemical stability. These findings demonstrate that the proposed MS-CC control scheme not only advances the state-of-the-art in charging control strategies but also provides a viable, implementation-ready solution for next-generation electric motorcycle charging systems.
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 - Zurnawita Abdi Abdillah Achmad Fiqhi Ibadillah Achmad Ubaidillah Afrianti, Rien Alchudri, Hamdi Deni Tri Laksono Deni Tri Laksono Dian Neipa Purnamasari Efendi, Novi Fadilillah, Fadli Fahmi, Monika Fahmi, Monika Faswia Faisal Amir Fatma, Mira Wellya Fazrol Rozi, Fazrol Firdaus Firdaus Khayam, Umar Laksono, Deni Tri Luis Adi Candra Putra Pratama Maresa Prasafitri Mira Wellya Fatma Moh. Iqbal Ramadlan. A Monika Faswia Fahmi Monika Faswia Fahmi Muhammad Arya Rangga Waskita Wicaksono Nofri Dodi Nofri Dodi, Nofri Oriyasmi, Fadhilah Prasafitri, Maresa Rajimar Suhal Hasibuan Rien Afrianti Rien Afrianti Riyanto Sahid Ridho Ummul Khair Waskita Wicaksono, Muhammad Arya Rangga Yudi Andika Safittro Yustini