Article Per Year (5 Year)
p-Index From 2021 - 2026
5.842
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) JREC (Journal of Electrical and Electronics) Sinergi Jurnal Teknologi Elektro VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JTERA (Jurnal Teknologi Rekayasa) InComTech: Jurnal Telekomunikasi dan Komputer JURNAL TIARSIE Petir Kilat Minda Baharu Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat CCIT (Creative Communication and Innovative Technology) Journal Buletin Ilmiah Sarjana Teknik Elektro JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of Electrical Engineering and Computer Science Journal Zetroem Jurnal Pendidikan dan Teknologi Indonesia Jurnal Abdimas ADPI Sains dan Teknologi Journal of Integrated and Advanced Engineering (JIAE) Journal of Informatics and Communication Technology (JICT) Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal INFOTEL Metrik Serial Humaniora dan Sains Journal of Informatics and Communication Technology (JICT) An International Journal Tourism and Community Review Green Engineering: Journal of Engineering and Applied Science Journal of Innovation and Community Engagement
Lukman Medriavin Silalahi
Universitas Mercu Buana
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 2   3   4   5   6 
PERAN KESEHATAN DAN KESELAMATAN KERJA PEKERJA RUMAH TANGGA: FOKUS PADA KELISTRIKAN RUMAH TANGGA BERBASIS INTERNET OF THINGS DI PENANG MALAYSIA Budiyanto, Setiyo; Silalahi, Lukman Medriavin; Simanjuntak, Imelda Uli Vistalina; Hamid, Abdul; Rahmad, Khozaeni Bin
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.6300

Abstract

Dalam pelatihan ini, peserta diberikan pemahaman mengenai K3 (Kesehatan Dan Keselamatan Kerja) yang berfokus pada keamanan listrik rumah berbasis IoT (Internet of Things). Program PkM (Pengabdian kepada Masyarakat) ini didampingi oleh instruktur profesional yang aktif melakukan penelitian tentang IoT yang terdiri dari berbagai model hingga komponen pendukung IoT dengan mendekati hasil penelitian yang telah dipublikasikan dalam ilmu teknik elektro. Hasil observasi menunjukkan bahwa peserta PkM merupakan pekerja rumah tangga yang kurang pengetahuan tentang teknologi internet yang saat ini sedang berkembang dan telah diimplementasikan menjadi smart home khususnya pada rumah tipe modern. Dengan demikian, kontribusi dari kegiatan ini adalah memberikan edukasi untuk meningkatkan kualitas dan pengetahuan pekerja rumah tangga yang terampil dan memahami teknologi IoT. Tujuan dari PkM ini adalah untuk memberikan edukasi IoT untuk kelistrikan. Universitas Mercu Buana melalui Lembaga Penelitian dan Pengabdian kepada Masyarakat turut serta membantu pemerintah dengan memasukkan tema riset unggulan di bidang TIK (Teknologi Informasi dan Komunikasi) dalam RIP (Rencana Induk Penelitian) dengan target jangka panjang sosialisasi dan implementasi penggunaan kontrol dan IoT.
Design Control and Monitoring System using the Fuzzy Mamdani Method on IoT-Based Air Conditioner Rumbaman, Wulan Nursyifa; Silalahi, Lukman Medriavin; Hassolthine, Cian Ramadhona; Muliati, Vika Febri; Haq, Fesa Asy Syifa Nurul
JMECS (Journal of Measurements, Electronics, Communications, and Systems) Vol. 11 No. 2 (2024): JMECS
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v11i2.8784

Abstract

The development of Air Conditioner technology to stabilize the temperature and humidity of the air in a room has affected human life activities. This research designed an automatic control system for air conditioning using the Fuzzy Mamdani method, because it is known that air conditioners have the largest cost burden compared to other electronic devices. Then, this research designed a control system consisting of a DHT22 Sensor as an input to detect the room temperature controlled by the ESP32. Furthermore, the results of data collection are analyzed using the Fuzzy Mamdani method so that the defuzzification output instructs the relay to take action, namely switching off to adjust the temperature degree and display data to the IoT platform, ThingSpeak. The results of this research show that the DHT22 sensor test was successfully calibrated with a hygrometer comparator with an error value of 0.4%. Then, the prototype design based on fuzzy rules has been successfully implemented with an error value of 9.2% from the manual comparison so that it is concluded that the deviation difference is still recommended. This indicates that the system effectively maintains desired environmental conditions while improving energy efficiency by reducing unnecessary AC usage. The results confirm the feasibility of implementing IoT-based fuzzy control systems for practical energy-saving applications.
Improvement of Data Communication and Computer Networks Skills through Computer Network and Cyber Security Training at TCK Learning Center Hong Kong Suci Resmiyati; Rachel Intania Rifany; Nyi Mas Mia Rahmawati; Vika Febri Mulyati; Fesa Asy Syifa Nurul Haq; Lukman Medriavin Silalahi; Chris Drake
An International Journal Tourism and Community Review Vol. 2 No. 2 (2025): June : An International Journal Tourism and Community Review
Publisher : Akademi Kesejahteraan Sosial Ibu Kartini Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69697/tourcom.v2i2.234

Abstract

Data communication and computer networking training at TCK Learning Centre Hong Kong is organized to address the need for increased technology literacy among Indonesian migrant workers in the face of digital globalization challenges. This activity is designed in a hybrid format (online and offline) with an approach that integrates theory and practical applications. The goal of this event is to enhance participants' understanding of basic networking concepts, technical skills in configuration and troubleshooting, as well as their analytical abilities in addressing data communication challenges. The implementation method includes material presentation, case studies, interactive discussions, and evaluation through questionnaires. The results of the activity show that the participants' understanding level is very good, with the majority stating that the material presented is easy to understand and of high quality. This activity is also in line with the targets of Sustainable Development Goals (SDG), namely quality education and decent work. This training not only empowers participants individually but also strengthens the image of TCK Learning Centre as a strategic partner in the development of a skilled ICT-based workforce.
Analisa Performansi Jaringan LTE (Long Term Evolution) pada LRT (Light Rail Transit) Rute Velodrome – Pegangsaan Dua Amaliya, Triyastika; Silalahi, Lukman Medriavin
InComTech : Jurnal Telekomunikasi dan Komputer Vol 14, No 2 (2024)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v14i2.19024

Abstract

Dewasa ini jaringan internet merupakan kebutuhan primer masyarakat. Akses internet mendukung jaringan seluler yang bertujuan untuk meningkatkan kapasitas penggunaan device mobile serta saat ini telah didukung teknologi LTE (Long Term Evolution). Hipotesis yang telah dikumpulkan bahwa implementasi LTE mengalami kendala dalam menjaga performansi jaringan. Lebih lanjut diakibatkan karena peningkatan data dan kualitas coverage yang kurang maksimal sehingga penyedia layanan jasa telekomunikasi perlu mengoptimalkan performansi jaringan LTE. QoS (Quality of Service) LTE harus terukur untuk mengetahui kondisi performansi jaringan dilokasi. Riset ini bertujuan untuk menganalisa performansi jaringan LTE di area LRTJ (Light Rail Transit-Jakarta) Velodrome – Pegangsaan Dua menggunakan metode eksperimen pada aplikasi GNet Track Pro. Riset ini juga menggunakan metode drive-test dan walk-test terhadap 3 RF (Radio Frequency) parameter yaitu RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality) dan SINR (Signal to Interference Noise Ratio). Hasil analisis drive-test dan walk-test menunjukan perbaikan performansi pada Stasiun Velodrome dengan hasil sebaran RSRP sebesar 81,57%, RSRQ sebesar 42,23% dan SINR sebesar 44,46%. Performansi sepanjang rute LRT Velodrome – Pegangsaan Dua menunjukan nilai RSRP dan RSRQ sangat baik dengan persentase masing-masing 45,96% dan 36,84% dengan SINR sebesar 41,12%. Sedangkan performansi jaringan LTE untuk sebaran RSRQ dan SINR di stasiun Pegangsaan Dua memiliki persentase masing-masing 55,35%, 46,42% dan RSRP sebesar 51,78%.
Design of a Portable Power Plant Using Solar and Wind Energy with Hybrid Charge Control Method Vrathama, Brenanda Kristian; Silalahi, Lukman Medriavin
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3450

Abstract

New Renewable Energy is an environmentally friendly solution for electricity generation, particularly through the utilization of wind and solar energy. In Indonesia, which has a tropical climate, both energy sources can reduce dependence on fossil fuels and carbon emissions. This research aims to design a portable power plant that integrates solar and wind energy using the Hybrid Charge Control method.[1] Testing was conducted at two different locations: Pantai Indah Kapuk 2 (PIK2) and VI Rusun Ujung Menteng. The results showed that in PIK2, the solar power plant reached a peak power of 3.459 W at 1:00 PM, while the wind source produced a peak power of 0.66 W at 5:00 PM. At the Rusun Ujung Menteng location, the highest recorded power from the solar panel was 3.048 W at 2:00 PM, and the wind source reached 0.82 W at 5:30 PM. The use of a DC motor in this system increased the voltage to 4 Volts but also presented issues requiring attention in torque management and cable material selection. The Charge Control method was applied to equalize the battery voltage at a level of 12.4 V. The researchers demonstrated the significant potential of portable renewable energy-based power plants for sustainable energy needs in Indonesia.
Flood Detection Design based on the Internet of Things Silaban, Freddy Artadima; Taufiq, Yufimar; Silalahi, Lukman Medriavin; Sihombing, Grace Lamudur Arta
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9209

Abstract

Flood detection devices and water levels from several previous research studies were not optimal because they were still running and manual information, such as through loudspeakers, in some research, electronic devices have been used, but no information has been obtained, and it is not optimal if there is a danger sign. So this research is a study on the development of an automatic flood detection system and water level based on the IoT (Internet of Things). The system uses a NodeMCU Esp8266 controller with a combination of potentiometer sensors mounted on a water-level mechanic and connected to the Thingspeak IoT platform. Based on the results of the analysis and testing that have been done, the system is designed to combine the previous research algorithms so that it works more optimally and is better. The flood detection system and water level are made in two parts: one is placed upstream and the other is placed downstream, where the devices are connected. The device will turn on a danger alert when the altitude percentage is more than 85% of the maximum height. The lag time in the upload and download process is included in the Fast category (≤10 seconds). The resulting information can be monitored through the media portal website.
Analisis Keamanan Jaringan Menggunakan Intrusion Prevention System (Ips) Dengan Metode Traffic Behavior Silalahi, Lukman Medriavin; Kurniawan, Andhika
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 1 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n1.2296

Abstract

Riset ini mengangkat masalah tentang celah keamanan jaringan untuk disusupi oleh peretas jaringan internet, diantaranya yang saat ini diteliti adalah Port Scanning, DDoS (Distribute Denial of Service), Bruteforce. Tujuan penelitian ini adalah mendeteksi setiap serangan yang terjadi dan melakukan blokir akses masuk ke server. Hipotesis riset ini adalah mendeteksi dan melakukan pencegahan terhadap serangan menggunakan default rules yang dimiliki oleh Suricata 6.0.4. Metode yang diusulkan adalah penelitian eksperimen yang bersifat kuantitatif untuk dapat mengamankan suatu sistem jaringan menggunakan Intrusion Prevention System (IPS) yang dikombinasikan antara fitur blocking dari Firewall dan fitur detection capabilities dari Intrusion Detection System (IDS) berdasarkan traffic behavior atau anomali yang ditemukan selama dalam pengamatan dan pengujian yang telah dilakukan. Perancangan sistem keamanan ini membutuhkan sistem jaringan yang sudah yang terpasang aplikasi pfSense yang memiliki service Suricata sebagai IPS. Hasil riset ini menunjukan bahwa IPS dapat melakukan deteksi dan blokir terhadap serangan Scanning Port, Bruteforce dengan 3 kali pengujian dan DDoS dengan pengujian selama durasi waktu 30 detik, 1 menit dan 3 menit.
Design of a conductive material detection system Silaban, Freddy Artadima; Budiyanto, Setiyo; Silalahi, Lukman Medriavin
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v9i4.pp292-299

Abstract

The development of technology and industry development in the 4.0 era is very fast along with these developments in the control of production results such as medicine, food, and safety must be faster and more accurate. To face free trade and global economic competition, every company is required to produce products that have good quality by the standards. By using an experimental method which is the development of this study aims to make a conductive material detector (metal detector) for the pharmaceutical industry, the food industry, and security as compared to using conductive material sensors that are integrated with the Arduino microcontroller. Application testing is carried out to find out whether the Blynk application on an android smartphone with Blynk on a Debian server that has been made previously runs well or not and the alarm system testing uses a buzzer and LED to detect conductive material passing through. Conductive sensor test results showed that the instrument can detect 6 conductivity materials such as stainless steel, aluminum, steel, zinc, copper, and tin. The average response time to detect conductive material is 3 seconds, the average ADC value of the conductive material is 0.55. The test results also successfully send information and data to the Blynk application so that it can be monitored online.
Digital Signal Feature Extraction for Graph-Based Host Classification in VM Placement Hidayat, Taufik; Medriavin Silalahi, Lukman; Hamid, Abdul
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7559

Abstract

This study proposes a host classification methodology based on signal analysis and graph representation as a pre-placement stage for virtual machines (VM) in a cloud computing environment. The Bitbrains dataset is utilized as a source of time-series data representing CPU, memory, disk, and network utilization. Each parameter is modeled as a discrete signal and analyzed in both time and frequency domains. The analysis is conducted using a fixed observation window and frequency-domain transformation to capture workload characteristics across multiple resources. The Fourier transform results indicate the dominance of low-frequency components, suggesting gradual workload variations. Spectral energy is calculated and normalized to identify quantitative differences between host conditions. The results show that the overloaded class contributes 98.9% of the total spectral energy, while the underloaded and balanced classes contribute only 0.7% and 0.4%, respectively. The extracted features are then integrated using a four-node graph model that connects all resource dimensions into a single structure. The aggregated graph score is employed for dynamic percentile-based classification. From a total of 1,239 analyzed hosts, the proposed method classifies 421 hosts as overloaded, 409 as underloaded, and 409 as balanced. These findings demonstrate that spectral characteristics combined with graph integration provide a quantitatively structured and adaptive host segmentation mechanism, where the resulting classification can support VM placement decisions by identifying underloaded, balanced, and overloaded host conditions.
Design of an Autonomous Solar Powered Smart Aquaculture Monitoring System for Energy Efficiency and Environmental Impact Reduction Lukman Medriavin Silalahi; Safrizal Safrizal; Erick Fernando; Hayadi Hamuda; Ribut Julianto; Yuanita Sinatrya
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.286

Abstract

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.
Co-Authors Abdul Hamid Adi Kurnia Aditiameri Aditiameri Agung Yoke Basuki Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Alvin Sepbrian Amaliya, Triyastika Andhika Kurniawan Andhika Kurniawan Antonius Suhartomo Arga Gilang Rolanda Arif Rahman Hakim Badaruddin Badaruddin Cahyono Budy Santoso Chaerul Anwar Chris Drake Cian Ramadhona Hassolthine Dadang Gunawan Daniel Putra Pardamean Mbarep David Martin Antoyo Dimas Jatikusumo Ema Ema Erick Fernando Erry Yulian Triblas Adesta Erwin Sitompul Fajar Banardi, Deswandi Fajri, Nuralia Fauziah Anggini Freddy Artadima Silaban Gao Hongmin Gunawan Osman Haq, Fesa Asy Syifa Nurul Hayadi Hamuda Heryanto Heryanto Ike Yuni Wulandari Iksan Bukhori Imelda Uli Vistalina Simanjuntak Irfan Kampono Linggar Amnesta Virgian Listiana Satiawati Maharani, Muthia Mochamad Furqon Ismail Mudrik Alaydrus Muhamad Husni Muhammad Budi Haryono Muhammad Hafizd Ibnu Hajar Muhammad Ikhsan Muhammad Yusuf Muhtar Muhtar Muhtar Muhtar Muhtar Muhtar Muliati, Vika Febri Narwikant Indroasyoko Nyi Mas Mia Rahmawati Rachel Intania Rifany Rachmat Muwardi Raden Sutiadi RAHAYU, FAJAR Rahmad, Khozaeni Bin Ramdani, Ranti Aulia Putri Retno Dwi Hapsari Ribut Julianto Rizki, Retno Bangun Rochendi, Agus Dendi Rumbaman, Wulan Nursyifa Safrizal Safrizal Selamet Kurniawan Septi Andryana Setiyo Budiyanto Sihombing, Grace Lamudur Arta Suci Resmiyati Sumihar M.L. Tobing Taufik Hidayat Taufiq, Yufimar Teddy Mohamad Darajat Triyanto Pangaribowo Ucuk Darusalam Vika Febri Mulyati Vrathama, Brenanda Kristian Wicaksono, Wisnu Adi Wijaksana, Wibi Wijaksana Wisnu Adi Wicaksono Yuanita Sinatrya Yunus Widjaja