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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Panrita Abdi - Jurnal Pengabdian pada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JMM (Jurnal Masyarakat Mandiri) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknologi Informasi dan Multimedia Smart Society: Community Service and Empowerment Journal Journal Serambi Engineering (JSE) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Elektronika dan Telekomunikasi
Istiqomah
Universitas Telkom
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences Other

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Enhancing STEM Education through IoT-Based Distance Monitoring Projects in High Schools Istiqomah Istiqomah; Khilda Afifah; Porman Pangaribuan; Teguh Patriananda; Ni Kadek Cindy Sriastiti; Justin Fairman Tan; Tsania Puspa Kirana; Garry Nelson
Smart Society Vol. 6 No. 1 (2026): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v6i1.1063

Abstract

This community service program was conducted in response to the demands of the Fourth Industrial Revolution, which requires stronger digital literacy and practical STEM competencies in schools. The program aimed to introduce IoT-based STEM learning to teachers and students at Situraja State Senior High School (SMAN Situraja), a rural school in West Java, Indonesia, to enhance digital literacy and promote hands-on STEM education. To achieve this, the program implemented an IoT-based distance monitoring project using an ultrasonic sensor, an ESP32 microcontroller, and the Blynk platform through a project-based learning approach that included lectures, collaborative practical sessions, and interactive feedback activities. The program was evaluated using post-activity questionnaires administered to both teachers and students to capture their perceptions of the learning activities and outcomes. The results showed highly positive teacher responses, with 75–100% of participants selecting "strongly agre across all evaluation items, including 100% agreement on understanding IoT data transmission and the relevance of STEM integration. Student feedback also indicated positive motivation toward STEM learning, with 48% of students strongly agreeing that the activity increased their interest in STEM. However, student responses related to physics concept understanding and real-world application were more varied, with up to 48% selecting neutral responses in these areas. This difference suggests that teachers more readily recognized the instructional relevance of the program, while some students were still adapting to newly introduced IoT and physics concepts.
The Effect of Window Size and Window Shape in STFT for Pre-Processing FMCW Radar Data in Human Activity Recognition Based on Bi-LSTM Figo Azzam De Fitrah; Fiky Y. Suratman; Istiqomah Istiqomah
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.601

Abstract

Many studies use radars for Human Activity Recognition (HAR), and numerous techniques for preprocessing FMCW radar data have been explored to improve HAR performances. Our approach employs 1-D radar to classify four human activities, i.e., walking, standing, crouching, and sitting.  We use Fast Fourier Transform (FFT) and Short-Time Fourier Transform (STFT) with Kaiser window to generate range-time and Doppler-time data from inphase and quadrature radar signal. The choice of windowing parameters, i.e., window size and window shape represented by the beta parameter in Kaiser window, is considered to have significant impacts on the performances of deep learning LSTM models, including the F1-score. However, our study in this paper, including statistical analysis using t-tests, shows otherwise. Our results consistently support the null hypothesis, which mean that variations in window size and window shape do not significantly affect the F1-score. In essence, our findings underscore the robustness of our preprocessing methodology, emphasizing the stability and reliability of the selected configurations. This research provides valuable insights into the preprocessing techniques for radar data in the context of human activity recognition, enhancing the consistency and credibility of deep learning models in this domain.
IMPLEMENTASI INTERNET OF THINGS (IOT) BERBASIS SENSOR ULTRASONIK UNTUK PENGUATAN PEMBELAJARAN STEM DI SMAN Nada Syifa Qolbiyah; Istiqomah Istiqomah; Khilda Afifah; Adzin Nabil Ihsan; Rega Arzula Akbar; Wildan Khalid Wijaya
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 3 (2026): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i3.38499

Abstract

Abstrak: Transformasi digital pada era Industri 4.0 menuntut peningkatan kualitas sumber daya manusia yang memiliki literasi teknologi, kemampuan berpikir kritis, serta pemahaman aplikatif lintas disiplin sejak jenjang pendidikan menengah. Namun, pembelajaran sains di tingkat SMA masih cenderung bersifat teoritis dan belum terintegrasi secara kontekstual dengan penerapan teknologi. Kondisi tersebut juga ditemukan pada 32 siswa SMAN 1 Dayeuhkolot yang belum memperoleh pengalaman praktik pembelajaran berbasis teknologi. Kegiatan pengabdian kepada masyarakat ini bertujuan mengimplementasikan pembelajaran berbasis STEM melalui pelatihan Internet of Things (IoT) menggunakan sensor ultrasonik sebagai media pembelajaran sains, dengan sasaran peningkatan hardskill (merakit perangkat IoT, memprogram mikrokontroler, membangun sistem monitoring) maupun softskill (berpikir kritis, pemecahan masalah, dan kerja tim) peserta. Metode pelaksanaan meliputi identifikasi permasalahan, analisis kebutuhan pembelajaran, perancangan modul dan sistem IoT sederhana, pelaksanaan pelatihan melalui pematerian, demonstrasi dan praktik, serta evaluasi menggunakan kuesioner dengan 12 butir pertanyaan yang mencakup tiga aspek penilaian. Hasil evaluasi menunjukkan lebih dari 93% peserta menyatakan bahwa pelatihan membantu mereka memahami konsep dasar sains yang dikaitkan dengan aplikasi nyata teknologi IoT. Temuan ini mengindikasikan bahwa integrasi IoT dalam pembelajaran berpotensi meningkatkan pengalaman belajar yang lebih aplikatif dan kontekstual.Abstract: Digital transformation in the industry 4.0 era demands the improvement of human resource quality through technological literacy, critical thinking skills, and interdisciplinary applied understanding starting from secondary education. However, science learning at the senior high school level remains largely theoretical and lacks contextual integration with technological applications. This condition was also identified among 32 students of SMAN 1 Dayeuhkolot, who had not yet experienced technology-based practical learning. This community service program aimed to implement STEM-based learning through Internet of Things (IoT) training using ultrasonic sensors as a science learning medium, targeting the improvement of both hard skills (IoT device assembly, microcontroller programming, and monitoring system development) and softskills (critical thinking, problem-solving, and teamwork). The implementation methods included problem identification, learning needs analysis, module and simple IoT system design, training delivery through lectures, demonstrations, hands and on practice, and evaluation using questionnaire comprising 12 items across three assessment dimensions. The evaluation results showed that more than 93% of participants agreed that the training helped them understand fundamental science concepts linked to real-world IoT applications. These findings indicate that integrating IoT into classroom learning has the potential to enhance more applied and contextual learning experiences.
Lung Sounds Classification Based on Time Domain Features Achmad Rizal; Istiqomah Istiqomah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.24007

Abstract

Signal complexity in lung sounds is assumed to be able to differentiate and classify characteristic lung sound between normal and abnormal in most cases. Previous research has employed a variety of modification approaches to obtain lung sound features. In contrast to earlier research, time-domain features were used to extract features in lung sound classification. Electromyogram (EMG) signal analysis frequently employs this time-domain characteristic. Time-domain features are MAV, SSI, Var, RMS, LOG, WL, AAC, DASDV, and AFB. The benefit of this method is that it allows for direct feature extraction without the requirement for transformation. Several classifiers were used to examine five different types of lung sound data. The highest accuracy was 93.9 percent, obtained Using the decision tree with 9 types of time-domain features. The proposed method could extract features from lung sounds as an alternative.
Design of a Real-Time User Feedback for Mitigating Spurious SpO₂ Readings in Pulse Oximetry for Outpatient Monitoring Husneni Mukhtar; Dien Rahmawati; Suto Setiyadi; Istiqomah; Reza Ahmad Madani
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2371

Abstract

Spurious SpO₂ readings—arising from motion artifacts, environmental interference, or device variability—remain a major limitation in wearable pulse oximetry, potentially triggering false alarms or missing hypoxemia during outpatient monitoring. Conventional devices often lack real-time mechanisms to detect and mitigate such errors, with previous reports indicating measurement biases of 11.2 - 24.5% across different models, underscoring the need for improved accuracy and user guidance. To address this gap, we present the design of an IoT-enabled wearable pulse oximeter with real-time user feedback, delivered through a mobile application. The system integrates a pulse oximetry and heart rate sensor (MAX30100) with a carbon monoxide gas sensor (MQ-7) and provides targeted notifications to guide corrective actions such as repositioning the probe, removing nail polish, or moving to fresh air. Validation involved controlled scenario testing (undetected SpO₂, CO >40 ppm, nail polish, and loose contact) and user trials with 15 healthy volunteers from varied academic backgrounds. The prototype demonstrated high accuracy, with low relative errors—0.92% (HR), 0.93% (SpO₂), and 0.015% (CO)—and strong usability, achieving 93.3% compliance with corrective prompts, an average response time of 4.0±0.7 seconds, and a satisfaction score of 4.3/5. Compared with commercial oximeters, the proposed system improved reliability by reducing measurement errors by at least 87% through real-time corrective feedback. Future work will focus on energy-efficient power management and large-scale community-based trials to further validate performance across diverse patient populations.
PENERAPAN PANEL SURYA SEBAGAI MEDIA PEMBELAJARAN ENERGI TERBAHARUKAN DAN ENERGI LISTRIK TAMBAHAN DI SEKOLAH ALAM GAHARU Istiqomah Istiqomah; Arif Abdul Aziz; Achmad Rizal; Muhammad Fahriza Bahrudin; Soediponegoro Soediponegoro; Azriansyah Azriansyah; Naufal Widad Sundawa; Abdillah Nur Isnaini; Vincentius Adisurya Fransisco Antu
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21562

Abstract

Abstrak: Sekolah Alam mengedepankan alam sebagai aspek utama objek pembelajaran, sehingga kewajiban menjaga alam menjadi hal penting untuk diajarkan ke peserta didik. Salah satu upaya untuk menjaga alam adalah dengan menggunakan energi baru dan terbarukan sebagai alternatif energi bersih. Sehingga hal tersebut menjadi misi yang sedang digiatkan di Sekolah Alam Gaharu. Pada pelaksanaan kegiatan pengabdian masyarakat ini, tim berusaha memenuhi kebutuhan sekolah alam yaitu penerapan EBT berupa panel surya sebagai media pembelajaran dan energi listrik tambahan untuk kegiatan outdoor di sekolah alam tersebut. EBT yang diterapkan adalah panel surya yang kiranya mudah dirancang menyesuaikan kebutuhan Sekolah Alam Gaharu. Panel surya yang menghasilkan listrik DC diintegrasikan dengan sistem lain seperti Aki dan inventer DC ke AC agar catu daya bisa langsung digunakan perangkat elektronik di Sekolah Alam Gaharu. Diharapkan kegiatan masyarakat ini menjadi media pembelajaran EBT di Sekolah Alam Gaharu. Diakhir kegiatan akan ada survei kepada 15 guru di Sekolah Alam Gaharu untuk melihat keefektifan penerapan panel surya sebagai media pembelajaran di sekolah alam. Dari hasil survei yang dilakukan tersebut disimpulkan 100% kegiatan memenuhi kebutuhan dari Sekolah Alam Gaharu.Abstract: The Nature School prioritizes nature as the main aspect of learning objects, so the obligation to protect nature is an important thing to teach to students. One effort to protect nature is to use new and renewable energy as a clean energy alternative. So this has become a mission that is being carried out at the Gaharu Nature School. In carrying out this community service activity, the team tried to meet the needs of the natural school, namely the application of new renewable energy in the form of solar panels as a learning medium and additional electrical energy for outdoor activities at the natural school. The new renewable energy implemented is solar panels which can be easily designed to suit the needs of the Gaharu Nature School. Solar panels that produce DC electricity are integrated with other systems such as batteries and DC to AC inverters so that the power supply can be directly used by electronic devices at Alam Gaharu School. It is hoped that this community activity will become a medium for new renewable energy learning at Gaharu Nature School. At the end of the activity there will be a survey of 15 teachers at Gaharu Nature School to see the effectiveness of implementing solar panels as a learning medium in natural schools. From the results of the survey conducted, it was concluded that 100% of the activities met the needs of the Gaharu Nature School.
Co-Authors Abdillah Nur Isnaini Achmad Ibnu Abas Achmad Rizal Adzin Nabil Ihsan Alif Aditya Darmawan Arif Abdul Aziz Azam Zamhuri Fuadi Azriansyah Azriansyah Azriansyah Azriansyah Bambang Setia Nugroho Brahmantya Aji Pramudita Dien Rahmawati Diyah Widiyasari Faisal Budiman Faqih Alam Figo Azzam De Fitrah Fikri Ardian Fiky Yosef Suratman Fitrah, Figo Azzam De Garry Nelson Hesty Susanti Husneni Mukhtar Justin Fairman Tan Khilda Afifah Mochamad Yudha Febrianta Muhammad Fahriza Bahrudin Muhammad Fahriza Bahrudin Muhammad Hablul Barri Muhammad Yusuf Salman Nada Syifa Qolbiyah Nadia Husnul Naufal Widad Sundawa Ni Kadek Cindy Sriastiti Nicola Akmal Afrinaldi Novi Prihatiningrum Porman Pangaribuan Ramdhan Nugraha Rega Arzula Akbar Reza Ahmad Madani Soediponegoro Soediponegoro Soediponegoro Soediponegoro Suto Setiyadi Teguh Patriananda Tsania Puspa Kirana Vincentius Adisurya Fransisco Antu Wildan Khalid Wijaya Willy Anugrah Cahyadi