Article Per Year (5 Year)
p-Index From 2021 - 2026
0.888
P-Index
This Author published in this journals
All Journal Journal of Applied Engineering and Technological Science (JAETS) Community Development Journal: Jurnal Pengabdian Masyarakat Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi International Journal of Engineering Continuity eProceedings of Engineering
Suyatno Budiharjo
Program Studi Teknik Telekomunikasi, Universitas Telkom
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Perancangan Simulasi Dan Implementasi Noise Canceller Menggunakan Algoritma Sftrls Pada Omap-l138 Untuk Radio Militer Hernawan Kurniansyah; Jangkung Raharjo; Suyatno Budiharjo
eProceedings of Engineering Vol 2, No 2 (2015): Agustus, 2015
Publisher : eProceedings of Engineering

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

Abstract

Abstrak Saat ini perkembangan pemrosesan sinyal digital sangat pesat. Banyak sekali implementasi dari pemrosesan sinyal digital pada kehidupan sehari-hari, misalnya adaptive filter. Implementasi dari adaptive filter dapat dijumpai pada sistem noise canceller yang berfungsi untuk mengurangi noise yang bercampur dengan sinyal informasi. Penelitian yang dilakukan pada Tugas Akhir ini adalah merancang sebuah sistem noise canceller yang dapat digunakan untuk kebutuhan radio militer dangan menggunakan algoritma adaptif yang dinamakan Stabilized Fast Transversal Recursive Least Square (SFTRLS). Algoritma ini adalah salah satu algoritma yang digunakan untuk menyelesaikan permasalahan RLS secara cepat. Dipilihnya algortima SFTRLS dalam Tugas Akhir ini karena SFTRLS memiliki waktu konvergensi cepat sehingga cocok untuk digunakan pada radio militer. Sistem noise canceller pada Tugas Akhir ini memiliki nilai MSE optimal pada nilai forgetting factor 0.999, 0.9995, dan 0.9999. Selain itu juga diperoleh rata-rata waktu konvergensi sebesar 0.254 detik Kata kunci: Noise canceller, SFTRLS, radio militer, forgetting factor
PELATIHAN MENYUSUN ANALISA BREAK EVENT POINT UNTUK PRODUK IOT PADA SMK PRUDENT SCHOOL Rahmadi Rahmadi; Liestyowati Liestyowati; Alva Nurvina Sularso; Yus Natali; Suyatno Suyatno
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023): Volume 4 Nomor 4 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i4.19454

Abstract

Kurikulum Merdeka Belajar yang diatur Mendikbud Ristek Nomor 56/M/2022 menjadi tantang tersendiri bagi sekolah-sekolah. Dampaknya, seluruh sekolah khususnya SMK Prudent School harus mampu memberikan kualitas dan ragam program untuk meningkatkan keilmuan peserta didik yang diamanatkan kurikulum Merdeka belajar. Oleh sebab itu selain kurikulum yang ada diperlukan juga ragam materi lain sebagai suplemen pembelajaran. materi softskill tentang Analisa kelayakan usaha khususnya pada produk IoT (Internet of Thing) perlu didapat oleh siswa karena ini menjadi salah satu contoh usaha yang mulai banyak digunakan dibidang telekomunikasi saat ini. Observasi awal yang dilakukan bahwa peserta Pengabdian kepada Masyarakat belum mendapatkan materi Analisa kelayakan usaha dengan contoh Produk IoT.Tujuan dari pelatihan ini adalah menambah khazanah keilmuan bagi siswa/siswa SMK Prudent School terkait entrepreneurship dengan lingkup materi pemahaman Break Event Point. Metodologi yang digunakan adalah dengan tiga Langkah cara. Pertama, observasi awal kebutuhan. Kedua, engagement stakeholder. Ketiga, Langkah terakhir implementasi dan evaluasi. Hasil dari pelatihan ini menunjukkan para peserta mendapat peningkatan pemahaman dalam melakukan analisa kelayakan usaha. Survei dengan skor 70,78 persen di akhir pelatihan menunjukkan angka yang tinggi untuk peserta yang baru mendapatkan materi Analisa kelayakan usaha.
Advanced Smart Bracelet for Elderly: Combining Temperature Monitoring and GPS Tracking Sugondo Hadiyoso; Indrarini Dyah Irawati; Akhmad Alfaruq; Tasya Chairunnisa; Muhamad Roihan; Suyatno Suyatno
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.6182

Abstract

Indonesia is entering an aging population period, marked by an increase in the number of elderly individuals, accompanied by a rise in dementia cases. This situation leads to higher dependency among the elderly on others for assistance or long-term care. Dementia can cause elderly people to lose their sense of direction, often wandering aimlessly, making them difficult to track. To address this issue, a wearable smart bracelet is proposed to monitor the location and a vital body parameter such as body temperature. The system is equipped with a tracking application that can send an alert if the user is outside a designated area. It automatically sends a warning message to the caregiver's or family member's smartphone when abnormal signs are detected. The bracelet is designed like a wristwatch, to be worn on the wrist. It is small, lightweight, and battery-operated. Temperature and location data can be transmitted in real-time using an internet network to mobile devices. The device can notify when the user is outside the specified area. Test results indicate that the device has high accuracy and reliability in monitoring location and body temperature with accuracy around 98.5%, as well as sending notifications through a Telegram bot when certain thresholds are exceeded. This device can work properly for up to 5 hours on a single battery charge. With this device, it is expected to help monitor and support the care of the elderly so that they can improve their quality of life. This device can also provide an emergency alarm if the elderly are outside the area.
Smart Home Security System Using Object Recognition with the EfficientDet Algorithm: A Real-Time Approach Suyatno Suyatno; Yus Natali; Nurwan Reza Fachrurrozi; Muhamad Roihan; Pietra Dorand; Naufal Ghani
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.400

Abstract

The EfficientDet method, which is implemented on the Raspberry Pi for real-time detection in resource-constrained contexts, is the basis for the smart home security system presented in this study.  The system integrates CCTV cameras, motion sensors, and detectors to identify and classify objects, sending notifications via WhatsApp via the Twilio API.  The EfficientDet-D0 model achieves an accuracy of 94.8%, an average processing time of 45 ms, and a memory usage of about 850 MB.  When compared to moving individuals or non-human things, testing shows that stationary human items have a higher detection accuracy.  Notifications are transmitted roughly every three seconds, with an average latency of 1.4 to 1.8 seconds.  The suggested method provides object recognition, real-time monitoring, and configuration flexibility in contrast to traditional IoT-based systems.  These results highlight the potential of EfficientDet as a reliable and adaptable solution for home security.  Future improvements include improving accuracy in a variety of environmental conditions and implementing adaptive learning.
Pemberdayaan Masyarakat Desa Galuga melalui Implementasi Artificial Intelligence untuk Pemilahan Sampah Otomatis Suyatno Suyatno; Yus Natali; Hesmi Aria Yanti; Ade Nurhayati; Alva Nurvina Sularso
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 5, No 1: February 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/ljpmt.v5i1.36672

Abstract

Solid waste management in Galuga Village is still largely dependent on manual sorting practices, resulting in low sorting efficiency and limited community participation. This community service program aims to support source-level waste segregation through the implementation of an Artificial Intelligence (AI)–based automatic waste sorting system that can be operated independently by the community. The activity was conducted using a Participatory Action Research (PAR) approach, emphasizing active community involvement in the design, utilization, and evaluation of the system. The implementation results indicate that the developed AI system achieved a highest validation accuracy of 93.37%, enabling faster and more consistent waste sorting compared to manual methods. Furthermore, observations and questionnaire results from the initial pilot implementation show improved community understanding and acceptance of waste segregation practices, as well as increased readiness to adopt the system in daily activities. These findings suggest that integrating AI technology with a participatory approach has the potential to enhance the effectiveness of community-based waste management and may be further developed as a sustainable technology empowerment model at the village level.
Co-Authors Ade Nurhayati, Ade Alfaruq, Akhmad Alva Nurvina Sularso Hernawan Kurniansyah Hesmi Aria Yanti Indrarini Dyah Irawati Jangkung Raharjo Liestyowati Liestyowati Naufal Ghani Nurwan Reza Fachrurrozi Pietra Dorand Rahmadi Rahmadi Roihan, Muhamad Sugondo Hadiyoso Tasya Chairunnisa Yus Natali