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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) Emerging Science Journal JMM (Jurnal Masyarakat Mandiri) Jurnal ULTIMA Computing TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknologi Informasi dan Multimedia JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of Electrical Engineering and Computer Science Charity : Jurnal Pengabdian Masyarakat Proceedings Series on Physical & Formal Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah Teknik Elektro eProceedings of Engineering Buletin Pos dan Telekomunikasi Jurnal Nasional Sains dan Teknik Jurnal Elektronika dan Telekomunikasi
Fiky Y. Suratman
Universitas Telkom
Arts 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 Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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PELATIHAN INTERNET OF THINGS BERBASIS STEM UNTUK PENGEMBANGAN KOMPETENSI DIGITAL SISWA DAN GURU SMA Qolbiyah, Nada Syifa; Istiqomah, Istiqomah; Suratman, Fiky Yosef; Patriananda, Teguh; Kirana, Tsania Puspa; Nelson, Garry; Sari, Nurlina
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.32947

Abstract

Abstrak: Transformasi pendidikan di era Revolusi Industri 4.0 menekankan pentingnya literasi digital dan penerapan teknologi berbasis STEM di tingkat sekolah menengah, namun ketimpangan literasi teknologi di kalangan guru dan siswa masih menjadi hambatan utama. Sebagai jawaban atas tantangan tersebut, kegiatan pengabdian kepada masyarakat berupa pelatihan sistem Internet of Things (IoT) berbasis STEM dilaksanakan di SMA Islam Al-Ma’soem, Kabupaten Bandung, sebagai bentuk dukungan peningkatan kompetensi digital di lingkungan pendidikan. Metode pelatihan terdiri dari empat tahap, yaitu persiapan, pelatihan, pendampingan, dan evaluasi, dengan melibatkan 20 siswa dan 2 guru. Evaluasi dilakukan dengan metode pengisian kuesioner Likert untuk beberapa cakupan penilaian. Hasil menunjukkan peningkatan signifikan dalam pemahaman konsep dasar IoT, keterampilan teknis peserta dalam perancangan sistem, serta keterkaitan materi dengan pembelajaran STEM; lebih dari 85% peserta menyatakan puas terhadap pelatihan. Pelatihan ini terbukti efektif dalam meningkatkan kompetensi digital sekaligus menumbuhkan minat eksplorasi teknologi, serta dapat dijadikan sebagai model replikatif untuk mendorong peningkatan literasi digital di sekolah menengah lainnya.Abstract: Educational transformation in the Industrial Revolution 4.0 era emphasizes the importance of digital literacy and the application of STEM-based technology at the secondary school level, but the gap in technological literacy among teachers and students is still a major obstacle. As an answer to this challenge, community service activities in the form of STEM-based Internet of Things (IoT) system training were carried out at Al-Ma'soem Islamic High School, Bandung Regency, as a form of support for increasing digital competence in the educational environment. The training method consists of four stages, namely preparation, training, mentoring, and evaluation, involving 20 students and 2 teachers. The evaluation was conducted using a Likert-scale questionnaire method covering several assessment areas. The results showed a significant increase in understanding the basic concepts of IoT, participants' technical skills in system design, and the relevance of the material to STEM learning; more than 85% of participants expressed satisfaction with the training. This training has proven effective in increasing digital competence while fostering interest in exploring technology and can be used as a replicable model to encourage increased digital literacy in other secondary schools.
Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar Muhamad Ridwan Widyantara; Sugihartono -; Fiky Y. Suratman; Slamet Widodo; Pamungkas Daud
Jurnal Elektronika dan Telekomunikasi Vol. 18 No. 1 (2018)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.27-34

Abstract

Non Linear Frequency Modulation (NLFM) method can suppress the peak sidelobe level without additional windowing function. NLFM doesn’t require any weighting function because it has inbuilt one. NLFM has a variable frequency deviation function due to the relation between frequency and time of the signal which is not linear so that it is possible to suppress of peak sidelobe level. This paper studies the characteristic of various NLFM waveform, such as NLFM Tri Stage Piece Wise (TSPW), NLFM S, and NLFM Taylor. The study of Pulse Compression of NLFM waveform consists of three aspects. First, analysis of pulse compression performance. Second, analysis of background noise. Last, analysis of Doppler effects. The simulation is done using Matlab software. The lowest  value Peak Sidelobe Level (PSL)of NLFM TSPW is about -20 dB while NLFM S and NLFM Taylor are about -32 dB and -39 dB. Additive White Gaussian Noise (AWGN) and Doppler Effect influenced the value of PSL for each NLFM waveform. NLFM Taylor has the best NLFM waveform when the Doppler Effect and AWGN cause the value of PSL become high. Comparison between NLFM Taylor and Linear Frequency Modulation(LFM) is done in radar surveillance applications to analyze the detectability performance where the condition of Radar Cross Section (RCS) for each target has different significant value. The three targets are commercial airplanes, helicopter and fighter. For detectability performance, NLFM Taylor can detect more clearly than LFM conventional.
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign Hana Pratiwi; Mujib R. Hidayat; A. A. Pramudita; Fiky Y. Suratman
Jurnal Elektronika dan Telekomunikasi Vol. 19 No. 2 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.38-44

Abstract

Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection.
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.
Co-Authors -, Sugihartono A. A. Pramudita Achmad Rizal Adinda Mutiara Hakim Adriani Rizka Amalia Agung Chrisyancandra Mobonguni Ali Muayyadi Ali, Erfansyah Aloysius Adya Pramudita Alyani Durrah Fauzan Andika Pradana Arif Wicaksono Angga Rusdinar Angga Wijaya Anhar Ari Widodo Aptadarya, Harwin Arentaka, Fiendo Mahendra Argaloka, Aditya Adni Arif Abdul Aziz Arifyandy, Rachmat Ario Wicaksono ARIS HARTAMAN Aurelia, Felicia Bunga Azhar Sukarna Putra Azhar Yunda Ramadhan Azizah Yusrina Bambang Hidayat Bambang Setia Nugroho Budi Permana Dami Mahardiwana Daud, Pamungkas De Fitrah, Figo Azzam Denny Darlis Dharu Arseno Dhiky Wahyu Santoso Dias Daffa Wiwaha Dien Rahmawati Dimas Mustaqim Dwi Esti Kusumandari Ekki Kurniawan Erwin Susanto Estananto Fadhli Rahman Faishal Adli Fani Fauziah, Fani Farhan Ramadhan FARIED IZZANTAMA NUGRAHA HARSWA Figo Azzam De Fitrah Figo Azzam De Fitrah Fikry Lazuardi Fitrah, Figo Azzam De Giashinta Larashati Gitatama, Radika Grace Bobby GRACE BOBBY, GRACE Hana Pratiwi Hasbian Fauzi Perdana Heni Pujiastuti Heroe Wijanto Hidayat, Mujib R. HIDAYAT, MUJIB RAMADAN Hurianti Vidyaningtyas I Wayan Oka Krismawan Putra Ig. Prasetya Dwi Wibawa Imam Darmawan Istiqomah Istiqomah Istiqomah Istiqomah istiqomah istiqomah Jody H, Amadeus Evan Junartho Halomoan Juse Wisman Oktabri Kalfika Yani Khalisa Khairuna Kharisma Bani Adam Khilda Afifah Kirana, Tsania Puspa Koredianto Usman Krisna Muhammad Luthfi Kurniawan, Bella K. Kusumawardhana, Ridho Wahyu Laksono, Paundra Dwi Lyra Vega Ugi M. Reza Raihan N.R MAARIF, AHMAD FATHAN Made Indra Wira Pramana Marchellyn, Ferryn Mochammad Haldi Widianto Mohamad Ramdhani Muhamad Ridwan Widyantara Muhamad Riswan Nurfadilah Muhammad Adi Nurhidayat Muhammad Ary Murti Muhammad Hablul Barri Muhammad Hegi Rinaldi Muhammad Nashih Rabbani Muhammad Zakiyullah Romdlony Mujib R. Hidayat Mumtazanisa Fairuzen Nasrullah Armi Neina Oktavia Sariningsih Nelson, Garry Nina Mardiana (F01108057) Nurhidayat, Muhammad Adi Nurul Qashri Mahardika T Nusharatul Lailiyya Nushrotul Lailiyya Patriananda, Teguh Permana, Nana Porman Pangaribuan Pramudita, A. A. Pramudita, Aloysius A. PRATIWI, HANA Qolbiyah, Nada Syifa Rachmita Hasni.H1 Rahmad Rahmad Ramadhan, Azhar Yunda Ramdhan Nugraha Ratri Dwi Atmaja Rebecca Chittra Widyaparamitha Reyhan Fahmirakhman Abdullah Reynaldo Sandy Montolalu Reza Nurul Fajri Rheza Faurizki Rahayu Rifqy Miftahul Hidayat Rissa Rahmania Rizal Akhlaqul Rizki Ardianto Priramadhi Rizkia Dwi Auliannisa Rizky Ardianto Priramadhi Salwa Nur Rohmah Santosh Poudel Saputra, Adhitya Dwi Saputri, Desti M. Sari, Nurlina Satyawan , Arief Suryadi Satyawan, Arief Suryadi Seno Nugroho Siburian, Sebastian Edward Sinaga, YOSUA Slamet Widodo Slamet Widodo Sony Sumaryo Sugihartono - Suputra , Mahesa Wisnu Suryo Adhi Wibowo Tande, Jefri Salmon Unang Sunarya Widyantara, Muhamad Ridwan Y. R, Azhar Yohana Jayanti Aruan Yudha Purwanto Yudha Setyawan, Raden Rofiq Zahwa Rizzi Ani