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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Bulletin of Electrical Engineering and Informatics JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal ULTIMA Computing Jurnal Teknologi Terpadu Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Dharma Bhakti Ekuitas Journal La Multiapp Jurnal Nasional Teknik Elektro dan Teknologi Informasi EPSILON: Journal of Electrical Engineering and Information Technology JURNAL TEKNIK INDUSTRI Eduvest - Journal of Universal Studies Jurnal Elektronika dan Telekomunikasi
Silmi Ath Thahirah Al Azhima
Universitas Pendidikan Indonesia
Religion Aerospace Engineering Humanities Automotive Engineering 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 Mechanical Engineering Neuroscience Public Health Social Sciences Other

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Medication box management system with automatic dosing integrated with IoT-based Android app and Firebase Nurhakim, Raihan; Ath Thahirah Al Azhima, Silmi; Fahmi Arief Hakim, Nurul; Al Qibtiya, Mariya; Maulana, Luthfi; Rohman, Saepul
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8470

Abstract

Utilizing Firebase technology and an Android internet of things (IoT) application, the research endeavors to create a smart medicine box in order to enhance the efficacy of automated drug management. Hardware implementation, software implementation, and 3D design planning for automatic dosage adjustment are the methods utilized. The results prove that the application effectively controls the dosage, evacuation schedule, and quantity of the medication based on the user’s input. Boundary value analysis (BVA) black box testing demonstrated that every feature of the application functions as intended. Furthermore, the efficacy of drug production testing indicates that the smart medicine box exhibits a notable level of precision, albeit with a limited number of inaccuracies that could be rectifiable through additional parameter and mechanism optimizations within the drug box. Consequently, the investigation has effectively produced an automated drug management system that has the potential to enhance drug use supervision and safety, particularly for elderly services individuals residing alone.
IMPLEMENTATION OF IOT-BASED SMART MEDICINE BOXES TO IMPROVE MEDICATION COMPLIANCE AND PUBLIC HEALTH LITERACY IN PALASARI VILLAGE, CIBIRU DISTRICT Hakim, Nurul Fahmi Arief; Al Azhima, Silmi Ath Thahirah; Darmawati, Irma; Al Qibtiya, Mariya; Hartopo, Ibnu; Ridwan , Azwar Mudzakkir
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3079

Abstract

Improving patient safety through proper drug management is particularly difficult for the elderly and people with chronic conditions. Due to low levels of health literacy and lack of access to health technology, numerous individuals in Palasari Village, Cibiru District still struggle to adhere to prescription schedules. As a technical solution to aid in appropriate medication administration, this community service research proposes an IoT-based smart medicine box. A community needs analysis, a prototype built on an ESP32 microcontroller, a dose detection sensor, and a notification system using a mobile app were all part of the implementation technique. Residents also participated in training and mentorship sessions. The trial included 27 participants who were evaluated using a Likert scale that measured their level of interest, comprehension, simplicity of use, and effectiveness with respect to the gadget. With an average score of 4.37 out of 5 (87.3%), the results demonstrated a high degree of acceptability, especially when it came to comprehending the gadget, the efficacy of medicine reminders, and the possibility of lowering the risk of medication mistakes. At the community level, this effort proves that basic technology based on the Internet of Things may enhance health literacy, patient safety, and medication adherence.
Adaptive Occupational Safety Mechanism for Autonomous Material Handling: A Zone-Based Dynamic Risk Assessment Approach Fathin, Muhammad Alif Fathin; Azhima , Silmi Ath Thahirah Al Azhima; Arief Suryadi Satyawan; Haritman, Erik Haritman
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.24922

Abstract

The integration of Autonomous Guided Vehicles (AGVs) into shared industrial workspaces requires robust safety mechanisms to mitigate collision risks without compromising operational efficiency. Conventional binary safety systems often trigger abrupt emergency stops, leading to mechanical wear and production bottlenecks. This study aims to develop an adaptive decision-making framework for AGV safety based on real-time spatial risk assessment. The proposed approach uses a 3D LiDAR sensor to map unstructured environments and employs the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to identify dynamic obstacles. A multi-tiered risk zone logic—comprising Danger, Caution, and Ready zones—is implemented to regulate braking responses compliant with ISO 12100 standards autonomously. Experimental validation was conducted through static, linear, and complex non-linear trajectory scenarios. Results indicate that the system successfully eliminates environmental noise and maintains continuous object tracking during erratic movements, triggering gradual deceleration rather than abrupt halts in non-critical situations. This research contributes a scalable safety protocol that enhances Occupational Health and Safety (OHS) compliance while maintaining smoother intralogistics flow on the production floor.
Compact Coplanar Waveguide Antenna Using Arm Patch for Software Defined Radio Nurul Fahmi Arief Hakim; Silmi Ath Thahirah Al Azhima; Mariya Al Qibtiya
Jurnal Elektronika dan Telekomunikasi Vol. 23 No. 1 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.524

Abstract

This article proposes a compact coplanar waveguide (CPW) antenna with a semicircular patch and patch arm above the feed line. The method used in this antenna research is experimental, with antenna parameter optimization, fabrication, and measurement steps. The antenna was 40 mm × 46 mm × 0.8 mm and was printed on an FR4 substrate. Antenna optimization was carried out with CST Studio Suite to obtain optimal results. Based on return loss measurement results, the proposed antenna has an operational frequency of 2 GHz–7 GHz. The antenna arm has a significant effect on the operational frequency of the antenna, as proven by a parameter study of the antenna arm. Parametric studies were carried out on the antenna by investigating the influence of geometric parameters on the frequency characteristics. Optimization results were printed then measured by a Vector Network Analyzer (VNA) and a spectrum analyzer. The fabricated CPW antenna has a wider operating frequency than the simulation. An omnidirectional radiation pattern was observed at 2 GHz–4 GHz. The antenna has been used as a transmitter and receiver at 2.4 GHz, 3 GHz, and 4 GHz. The antenna is able to receive the signal emitted from the signal generator.
Application of Piezoelectricity on Running Tracks: A Prototype for the Realization of Sustainable and Efficient Energy Aldy Padmanegara Putra; Nurul Fahmi Arief Hakim; Erik Haritman; Silmi Ath Thahirah Al Azhima; Mariya Al Qibtiya
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1582

Abstract

Electrical energy has become a basic necessity today. As the population increases, the amount of electricity demand is also increasing. Therefore, many innovations are needed to meet these needs. One of the innovations in energy harvesting systems is the use of piezoelectricity. This research aims to create a piezoelectric-based running track prototype to produce environmentally friendly electrical energy. The arrangement of piezoelectric sensors used in this research is a parallel circuit. The research method used is the Research and Development method. The test results on the physical activities of walking, running, and jumping show that the prototype system that has been made has worked well and produces a fairly stable electric voltage even though it is still in a small amount. the difference in activity and body weight that presses the prototype produces different electric voltages. For walking activity, the prototype is able to produce a maximum voltage output of 0.83V, running activity has a maximum output of 5.83V and the maximum voltage output of jumping activity is 7.88V. The use of energy is done by storing the energy obtained from the piezoelectric in the battery, which can later be monitored directly by the voltage sensor, bluetooth module, HC-05, and RTC module the data will be sent to the cell phone so that the piezoelectric output voltage can be recorded and monitored. The electrical energy output generated by the piezoelectric is able to charge the battery and switch on the LED light at 2.5 V.
Implementasi Pembelajaran Immersive Menggunakan Virtual Reality Space Ibnu Hartopo; Nurul Fahmi Arief Hakim; Silmi Ath Thahirah Al Azhima; Mariya Al Qibtiya; Resa Pramudita; Erik Haritman; Andre Reyvaldo Iglesias
Jurnal Dharma Bhakti Ekuitas Vol. 10 No. 2 (2026): Jurnal Dharma Bhakti Ekuitas
Publisher : Universitas Ekuitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52250/dbe.v10i2.1070

Abstract

This community service program is motivated by the low level of teachers’ competence in implementing immersive technology-based learning, particularly in utilizing Virtual Reality (VR) as an innovative learning medium. The partner institutions face several challenges, including a limited understanding of immersive learning concepts, a lack of skills in operating VR devices, minimal innovation in teaching methods, and the absence of continuous support in integrating technology into classroom practices. Therefore, this program aims to enhance teachers’ competencies through the utilization of Virtual Reality Space in immersive learning. The program involved 20 teachers from various subject areas and was conducted through several stages: preparation, training and implementation, evaluation, and follow-up. The proposed solutions include training on the fundamental concepts of immersive learning, hands-on workshops on VR device operation, mentoring in developing VR-based instructional designs, and the establishment of a community of practice to ensure sustainability. The results indicate a significant improvement in teachers’ understanding, skills, and readiness to integrate VR into their teaching practices. Evaluation through pre- and post-training questionnaires showed highly positive responses, with an average satisfaction rate of 87%. These findings suggest that VR-based immersive learning effectively enhances teacher-student interaction, increases student engagement, and improves students’ conceptual understanding. Furthermore, this program contributes to strengthening teachers’ digital literacy and promotes the sustainable adoption of innovative technologies in the partner schools. Keyword: immersive learning, virtual reality, training, teacher competence, educational innovation Abstrak Program pengabdian kepada masyarakat ini dilatarbelakangi oleh rendahnya kompetensi guru dalam mengimplementasikan pembelajaran berbasis teknologi immersive, khususnya dalam pemanfaatan Virtual Reality (VR) sebagai media pembelajaran inovatif. Mitra menghadapi beberapa permasalahan, antara lain keterbatasan pemahaman terhadap konsep pembelajaran immersive, kurangnya keterampilan dalam mengoperasikan perangkat VR, minimnya inovasi dalam metode pembelajaran, serta belum adanya dukungan berkelanjutan dalam mengintegrasikan teknologi ke dalam praktik pembelajaran di kelas. Oleh karena itu, program ini bertujuan untuk meningkatkan kompetensi guru melalui pemanfaatan Virtual Reality Space dalam pembelajaran immersive. Program ini melibatkan 20 guru dari berbagai bidang mata pelajaran dan dilaksanakan melalui beberapa tahapan, yaitu persiapan, pelatihan dan implementasi, evaluasi, serta tindak lanjut. Solusi yang ditawarkan meliputi pelatihan konsep dasar pembelajaran immersive, workshop praktik penggunaan perangkat VR, pendampingan dalam pengembangan desain pembelajaran berbasis VR, serta pembentukan komunitas praktisi untuk menjamin keberlanjutan program. Hasil kegiatan menunjukkan adanya peningkatan yang signifikan dalam pemahaman, keterampilan, dan kesiapan guru untuk mengintegrasikan VR ke dalam praktik pembelajaran. Evaluasi melalui kuesioner pra dan pascapelatihan menunjukkan respons yang sangat positif, dengan tingkat kepuasan rata-rata mencapai 87%. Temuan ini mengindikasikan bahwa pembelajaran immersive berbasis VR efektif dalam meningkatkan interaksi antara guru dan siswa, meningkatkan keterlibatan siswa, serta memperdalam pemahaman konsep pembelajaran. Selain itu, program ini juga berkontribusi dalam memperkuat literasi digital guru dan mendorong adopsi teknologi inovatif secara berkelanjutan di sekolah mitra. Kata kunci: pembelajaran immersive, virtual reality, pelatihan, kompetensi guru, inovasi pendidikan
YOLOv8-Based Thermal Image Road Segmentation Using Trapezoid Zone Detection for Autonomous Navigation M Sadam Al Jabbar; Silmi Ath Thahirah Al Azhima; Arief Suryadi Satyawan; Erik Haritman; Aan Eko Setiawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 3: Agustus 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i3.27691

Abstract

Autonomous vehicle perception systems predominantly use red-green-blue (RGB) cameras, which experience significant performance degradation under adverse lighting conditions, with detection accuracy declining by 35–45% at night and in inclement weather. This limitation poses substantial safety risks for practical autonomous vehicle deployment. This study developed a robust thermal image-based road segmentation system using a You Only Look Once (YOLO) v8 deep learning architecture integrated with trapezoid zone detection for real-time autonomous navigation capable of consistent all-weather operation. The methodology encompassed five stages, including collection and annotation of thermal images using a FLIR Boson camera across diverse road conditions, two-stage model training employing YOLOv8n-seg architecture with copy-paste augmentation on NVIDIA Jetson Orin AGX, development of a polynomial regression-based distance calibration system, implementation of a six-zone priority-based trapezoid navigation framework, and comprehensive system integration with performance evaluation. The experimental results demonstrated that the proposed system achieved road segmentation average precision (AP) of 98.3% at an intersection over union (IoU) threshold of 0.5, with an overall mean AP (mAP) of 83.3% across six object classes after the second training stage. The copy-paste augmentation strategy improved minority-class (people) detection by 14.0%. The distance calibration system attained an R² score of 1.0 within the measured range. The daytime-trained model successfully detected objects at nighttime without retraining, demonstrating the fundamental advantage of thermal imaging. The system processed at 29.8 frames per second with 18 W power consumption. These findings validate thermal imaging effectiveness for all-weather autonomous navigation and establish a framework for embedded autonomous vehicle deployment.
Co-Authors Aan Eko Setiawan Al Qibtya, Mariya Aldy Padmanegara Putra Andre Reyvaldo Iglesias Arief Suryadi Satyawan Arief Suryadi Satyawan Azmi, Mutiara Nabila Dadang Lukman Hakim Darmawati, Irma Dwicky Darmawan Erik Haritman Erik Haritman Erik Haritman Fathin, Muhammad Alif Fathin Fauzan, Mochamad Rizal Fauzi, Rafi Rahman Haritman, Erik Haritman Ibnu Hartopo Iwan Kustiawan Juanda, Enjang Akmad Kaniarudi, Neneng Puspita Khairi, Saiqa Fatur Luthfi Maulana, Luthfi M Sadam Al Jabbar Maman Somantri Mariya Al Qibtiya Mariya Al Qibtiya Moechammad Sarosa Muhammad Adli Rizqulloh Nawawi, Imam Khushthon Nendi Suhendi Syafei Nurhakim, Raihan Nurul Fahmi Arief Hakim Permadi, Tesya Pramudita, Resa Rahmawati, Hanifah Indah Resa Pramudita Resa Pramudita Ridwan , Azwar Mudzakkir Robby Ikhfa Nulfatwa Roer Eka Pawinanto, Roer Eka Saepul Rohman Saputra, Dede Irawan Siscka Elvyanti, Siscka SRI RAHAYU