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Peningkatan Literasi dan Kompetensi IoT Siswa SMK Dharmapala Panjang Ginting, Listra Yehezkiel; Suaif, Ahmad; Mustaqim, Amrina; Drantantiyas, Nike Dwi Grevika; Putra, Septia Eka Marsha; Mege, Christio Revano; Andirasdini, Indah Gumala
JPEMAS: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2026): JPEMAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/adc.v4i2.1758

Abstract

Kegiatan pengabdian kepada masyarakat ini dilatarbelakangi oleh masih terbatasnya pemahaman dan keterampilan siswa SMK dalam menguasai teknologi Internet of Things (IoT) serta belum optimalnya pembelajaran berbasis praktik yang sesuai dengan kebutuhan industri di era digital. Tujuan kegiatan ini adalah untuk meningkatkan literasi teknologi, pemahaman konsep, dan keterampilan praktis siswa melalui pelatihan dan penerapan IoT berbasis pendekatan STEM (Science, Technology, Engineering, and Mathematics). Metode yang digunakan meliputi ceramah, diskusi interaktif, praktik langsung perakitan sistem IoT sederhana, serta evaluasi melalui pretest dan posttest terhadap 88 siswa jurusan kelistrikan SMK Dharmapala Panjang. Hasil kegiatan menunjukkan peningkatan signifikan pada seluruh indikator pemahaman, yaitu pemahaman implementasi IoT meningkat dari 43 menjadi 88 peserta (51,14%), komponen sistem IoT dari 55 menjadi 85 peserta (34,09%), jaringan komunikasi IoT dari 23 menjadi 84 peserta (69,32%), serta langkah pembuatan proyek IoT dari 22 menjadi 88 peserta (75,00%). Selain itu, peserta mampu merakit dan mengoperasikan sistem pengendalian lampu berbasis IoT menggunakan mikrokontroler secara mandiri. Hasil ini menunjukkan bahwa pendekatan pelatihan yang mengintegrasikan teori dan praktik secara langsung efektif dalam meningkatkan kompetensi teknis dan literasi digital siswa, sehingga kegiatan ini berkontribusi dalam mendukung penguatan pendidikan vokasi yang adaptif terhadap perkembangan teknologi dan kebutuhan dunia kerja.
Perancangan Strip Biosensor untuk Deteksi Gula Darah dan Asam Urat Berbasis Elektrokimia Maharsi, Retno; Afifah, Vista Sari; Maizi, Zikra; Gamilang, Ading Atma; Nugroho, Doni Bowo; Mustaqim, Amrina
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.5

Abstract

Rapid and accurate monitoring of glucose and uric acid levels is essential for the early detection of metabolic disorders such as diabetes mellitus and hyperuricemia. This study aims to develop an electrochemical biosensor strip based on a conductive carbon electrode for the detection of glucose and uric acid using glucose oxidase and uricase enzymes. The strip was designed with a three-electrode configuration on an acrylic substrate, which was selected due to its lower resistance and superior coating stability compared to PVC. The signal detection system employed a transimpedance amplifier circuit using the LM358, integrated with an Arduino Uno. Measurements were performed using artificial blood samples with various glucose concentrations (0–200 mg/dL) and uric acid concentrations (0–12 mg/dL). Calibration results demonstrated a linear relationship between analyte concentration and the output current, with R² values approaching 1. After correction, the glucose strip exhibited 92–100% accuracy and 92–97% precision, while the uric acid strip achieved 76–99% accuracy and 96–97% precision. These findings indicate that the developed biosensor strip provides consistent and reasonably accurate measurements, demonstrating its potential as an economical and portable point-of-care device for monitoring glucose and uric acid.
GREEN SYNTHESIS OF ZINC OXIDE (ZNO) NANOPARTICLES USING KEPOK BANANA LEAF EXTRACT (Musa Paradisiaca L.) FOR METHYLENE BLUE DEGRADATION Mustaqim, Amrina; Khoirunisa, Vera; Baqaruzi, Syamsyarief; Utami, Nadia Soni; Maharsi, Retno
Indonesian Physical Review Vol. 9 No. 2 (2026)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v9i2.614

Abstract

This study examines the effect of Musa paradisiaca L. leaf extract concentration (6%, 8%, and 10%) on the structural, morphological, and photocatalytic properties of ZnO nanoparticles synthesized via a green method, with a focus on methylene blue (MB) degradation. XRD analysis confirms the formation of ZnO with crystallite sizes in the range of 34–37 nm, while SEM observations show particle sizes of approximately 40–130 nm, indicating agglomeration. The results also show that increasing the extract concentration from 6% to 10% reduces the band gap energy from 3.24 eV to 3.05 eV, which is followed by an increase in MB degradation efficiency up to 78% after 180 minutes. This trend indicates a clear relationship between extract concentration, band gap energy, and photocatalytic activity, where a lower band gap enables more effective light absorption and enhances degradation performance. Overall, the findings demonstrate that extract concentration is a key parameter in improving the photocatalytic performance of ZnO nanoparticles for dye degradation.
Pelatihan Perakitan Robot Line Follower Pada Siswa SMAN 6 Metro Lampung Al Barra Harahap; Listra Yehezkiel Ginting; Nike Dwi Grevika Drantantiyas; Amrina Mustaqim; Hesti Wahyu Handani
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 11 : Desember (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 Robotic system is a combination of various elements working together to control the behaviour, movement, and decisions made by the robot. The components are made of hardwares, softwares, user interface,  communication, mechanical structure, energy source, and safety. Using this technology, students of SMAN 6 Metro can stay up to date with recent technologies, and can implement it to solve problems as necessary. The aim for this community service is to introduce knowledge about the utility of robotic systems related to the components of the system and its implementation. The target of this event is students of SMAN 6 Metro and also the university students attending this event. Introduction starts with definition of robotic systems, components of a robot, methodology, and implementation. As a result of this event, we find that the knowledge of the students of SMAN 6 Metro seem to be improving significantly. The experience proved to be a fascinating experience for the students involved.
Modelling Optimisation of Distributed PV-Battery Charge and Discharge Modes Using Systems for Improved Sustainable Energy Management Syamsyarief Baqaruzi; Amrina Mustaqim; Ali Muhtar; Muhammad Rizky Hikmatullah; Rahmat Fadhilah; Andika Munandar; Edo Kharisma Army; Setiadi Wira Buana; Rizqi Wahyudi; Muhammad Rifqi Dwi S
Engineering Science Letter Vol. 5 No. 01 (2026): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.001508

Abstract

This study examines the simulation of charge and discharge modes of lithium-ion batteries in a distributed photovoltaic system using MATLAB/ Simulink modeling. The objective is to analyze the integration of solar panels with battery-based energy storage systems to optimize performance and efficiency. The methodology involves mathematical modeling of photovoltaic cells based on p-n junctions, with key parameters such as temperature (15–30°C) and irradiance (1000 W/m²), along with the design of a Solar Charge Controller (SCC) to regulate energy flow. Simulations were conducted on four 150 W photovoltaic panels under varying environmental conditions, integrated with parallel-connected 12 V 250 Ah batteries. Results show a system efficiency of 87% at 25°C and 1000 W/m² irradiance, with panel output voltages aligning with mathematical equations (0.15 A error). Discharge mode analysis, accounting for system losses (inverter 5%, SCC 3%, wiring 2%), confirms the battery can supply a 5 Ω load for approximately 2.00 hours at 45% State of Charge (SOC), representing a 9.5% reduction from the ideal calculation. Simulations also compare SCC performance using DC and photovoltaic sources, demonstrating consistency in energy flow regulation. Validation results indicate the Simulink model’s accuracy in representing real-world characteristics, though MATLAB code simulations exhibit higher precision. The study highlights the importance of SCC control and SOC management to enhance battery lifespan and stability in renewable hybrid energy systems. Implications include potential applications.