Article Per Year (5 Year)
p-Index From 2021 - 2026
2.978
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Ilmiah Teknologi dan Rekayasa Bulletin of Electrical Engineering and Informatics ELECTRANS JTERA (Jurnal Teknologi Rekayasa) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMA Computing TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Teknologi Terpadu Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science TECHNO-SOCIO EKONOMIKA Jurnal Dharma Bhakti Ekuitas Journal La Multiapp EPSILON: Journal of Electrical Engineering and Information Technology Eduvest - Journal of Universal Studies
Nurul Fahmi Arief Hakim
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 Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Neuroscience Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
One-Phase Smart Switch using OpenCV Hand Gesture Recognition Fauzan, Mochamad Rizal; Khairi, Saiqa Fatur; Kaniarudi, Neneng Puspita; Ath Thahirah Al Azhima, Silmi; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtya, Mariya; Elvyanti, Siscka
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3633

Abstract

The need for simplicity in various activities encourages further technological development. One of them is a system to turn lights on and off with just a hand gesture. This hand gesture-based One-phase smart switch uses OpenCV, Arduino Nano, relays, and webcam cameras to recognize hand gestures. Static finger movements are used as buttons to turn on the lights. The results show that the algorithm used has high reliability with a precision score of 0.90, sensitivity of 0.90, accuracy of 0.96, and F1-score of 0.90. The accuracy of the system is affected by light intensity, distance, and hand tilt angle. At a light intensity of 70 LUX, the accuracy reaches 100%, while at 40 LUX the accuracy ranges from 98-99%. A distance of 30-60 cm gave the best accuracy of 100%, but decreased at longer distances. A hand tilt of 0° gives 100% accuracy, while at an angle of 60° the accuracy drops significantly, especially for the fifth finger with 64% accuracy. The average response time of the light to finger movement is 0.133 seconds. This device can recognize a variety of finger patterns well, thus meeting the desired needs.
Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest Al Azhima, Silmi Ath Thahirah; Darmawan, Dwicky; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtiya, Mariya; Syafei, Nendi Suhendi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.539

Abstract

The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%.  
Micropower design of energy harvesting based on piezoelectric transducer array circuit Juanda, Enjang Akmad; Hakim, Nurul Fahmi Arief; Sarosa, Moechammad; Saputra, Dede Irawan; Azhima, Silmi Ath Thahirah Al; Qibtiya, Mariya Al
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1767-1776

Abstract

This article reveals the conceptualization and implementation of energy harvesting system that utilize piezoelectric arrays within environments marked by elevated ambient noise levels. The selected methodology involves conducting an empirical study where the system is introduced into a room with pronounced ambient noise. A series configuration is adopted for assembling the piezoelectric sensors. For this particular experiment, 36 piezoelectric sensor units were arranged, each equipped with a voltage doubler circuit, aiming to harness a specific micropower energy threshold. The experimental results validate the successful development of an energy harvesting mechanism employing a piezoelectric array within a noisy setting. Notably, the device functions optimally at a frequency of 250 Hz. Additionally, a series of controlled experimental tests were executed at a sound level of 95.8 dBA to assess the efficacy of the piezoelectric array. Measurements taken at the voltage doubler output reveal that the device achieves its peak output signal at 3.32 Vpp and 50.42 Hz. The maximum attainable direct current (DC) voltage stands at 1 Volt, complemented by a current of 0.45 mA.
PELATIHAN PENGGUNAAN LISTRIK HEMAT ENERGI DI LINGKUNGAN SMK NEGERI 4 BANDUNG Hakim, Nurul Fahmi Arief
Jurnal Dharma Bhakti Ekuitas Vol. 7 No. 1 (2022): Jurnal Dharma Bhakti Ekuitas
Publisher : Universitas Ekuitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52250/p3m.v7i1.551

Abstract

Electrical energy is a vital issue in everyday life since it is ubiquitous. The utilization of electrical energy is increasingly a widespread issue in society, particularly in schools. The school's electrical bill is rather significant. If electronic devices are utilized only when necessary, electrical energy in the educational environment may be managed to be more efficient. This will have an effect on lowering energy use. This article addresses energy-efficient electrical training at Bandung 4 Vocational High School. Conditions in the school setting that necessitate electrical equipment counseling. Teachers are given direction or training based on this circumstance. Lectures, discussions, and exercises are employed in community service activities at SMK N 4 Bandung. Following a discussion and questions and answers, the lecturer teaches content concerning the usage of technological devices. Meanwhile, implementation may be carried out by teaching teams at their particular schools, who can confer with DPTE lecturers regarding energy conservation. Teachers will be able to comprehend the importance of electrical energy and how to use it efficiently as a consequence of this training. Furthermore, teachers may save power in the school and adjacent regions, lowering electricity expenditures. The implementation of electrical energy-saving measures must also include the comfort and safety of the educational environment. Keywords: Energy, Electricity, Training, Vocational School. ABSTRAK Energi listrik menjadi bahasan yang penting dalam kehidupan, karena selalu digunakan setiap waktu. Penggunaan energi listrik saat ini telah menjadi topik yang umum di masyarakat, khususnya di lingkungan sekolah. Tagihan listik yang dibayar oleh sekolah cukup besar. Energi listrik di lingkungan sekolah dapat diatur menjadi lebih efisien jika peranti elektronika digunakan sesuai kebutuhan. Hal ini akan berdampak pada pengurangan konsumsi energi listrik. Tulisan ini membahas tentang pelatihan penggunaan listrik hemat energi di Sekolah Menengah Kejuruan Negeri 4 Bandung. Kondisi lingkungan sekolah yang memerlukan penyuluhan tentang penggunaan peralatan listrik. Berdasarkan kondisi ini, maka dilakukan bimbingan atau pelatihan kepada para guru. Metode yang digunakan dalam kegiatan Pengabdian Kepada Masyarakat di SMK N 4 Bandung yaitu ceramah, diskusi dan latihan. Instruktur menjelaskan materi tentang penggunaan perangkat elektronik dilanjutkan dengan diskusi dan tanya jawab. Sedangkan penerapannya dapat dilakukan oleh tim pengajar di sekolahnya masing-masing yang dapat dikonsultasikan dengan dosen DPTE tentang penghematan energi listrik. Hasil dari pelatihan ini, para guru dapat memahami pentingnya energi listrik dan cara memanfaatkan energi listrik secara efisien. Selain itu, para guru juga mampu melakukan penghematan energi listrik di lingkungan sekolah dan sekitarnya sehingga tagihan listrik dapat berkurang. Proses penerapan kegiatan hemat energi listrik juga perlu memperhatikan kenyamanan dan keamanan terhadap lingkungan sekolah. Kata kunci: Energi, Listrik, Pelatihan, SMK.
Real-Time Monitoring System for Peatland Fire Potential Based on Internet of Things Nawawi, Imam Khushthon; Al Qibtiya, Mariya; Al Azhima, Silmi Ath Thahirah; Arief Hakim, Nurul Fahmi
Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i4.1449

Abstract

This research aims to develop a real-time monitoring system for peatland fire potential based on the Internet of Things (IoT) with a focus on early detection of potential peatland fires. The main problem to be solved is the lack of an effective system in the early detection of potential peatland fires, which can cause serious environmental impacts. The method used involves the use of air temperature, air humidity, soil moisture, and fire detection sensors integrated with alarm-based alerts. Data collection is done in real-time to provide a deeper understanding of peatland conditions and potential fire risks. The research results show that the developed system is capable of providing accurate and fast information related to peatland conditions, thus helping to prevent and reduce the impact of peatland fires. With this system, it is expected to increase efficiency in early fire detection and minimize the losses caused by peatland fires.
Development of the Android Application for the Landslide Disaster Mitigation Real-time System based on Firebase Server and OneSignal Nawawi, Aif Umar; Pantjawati, Arjuni Budi; Saripudin, Aip; Hakim, Nurul Fahmi Arief; Nurhidayatulloh, Nurhidayatulloh; Karostiani, Novia; Anandayutya, Bagaskara; Darmawan, Alvin Dzaki Pratama
Jurnal Elektronika dan Telekomunikasi Vol 24, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.674

Abstract

This article presents the development of SIDASIBELO (Landslide Information and Mitigation System), an Android-based application for real-time landslide monitoring and early warning. This system integrates data from several sensors that measure soil moisture, rainfall, slope angle, and ground vibrations at the monitored locations. The Firebase Real-time Database stores and transmits sensor data, while Firebase Cloud Messaging and OneSignal enable push notifications to alert users about potential landslide risks. There are four output status levels: SAFE, ALERT, CAUTION, and WARNING, which are determined based on a comprehensive analysis of the monitored parameters. Mitigation strategies include real-time parameter monitoring, early warnings, evacuation guidance, and user education on landslide preparedness. Testing on several Android devices demonstrated high compatibility, with an average successful server connection rate of 92.86%. Latency tests indicated an average response time of 894 ms from the input device to the database, 1.29 ms from the database to the Android device, and 2725 ms for push notifications. The system's total daily bandwidth usage for real-time data transmission is 27,648 MB, indicating high efficiency without overburdening the server's performance. While the app operates efficiently under ideal conditions, unstable network connections can lead to data retrieval failures or, in worst cases, app malfunctions. This remains a key challenge for our system. This system aims to raise awareness of landslide risks and enable timely evacuation, which could potentially reduce the negative impacts of landslides in vulnerable areas.
DESIGN OF A TELEGRAM-INTEGRATED GRAFANA NETWORK MONITORING SYSTEM FOR ENHANCED FAULT DETECTION AND REAL-TIME NOTIFICATION Hakim, Nurul Fahmi Arief; Elvyanti, Siscka; Ardiansyah, Yogi
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i1.14058

Abstract

Network device monitoring has problems such as connectivity loss between routers. Network technicians are required to monitor all network devices at all times. This article aims to discuss the results of the network device monitoring system in Building A FPTK UPI using Grafana integrated with Telegram as an effort to monitor and repair problematic network devices. The method used is simulation using network software that is adjusted to actual conditions. Grafana and Prometheus are used in creating a device monitoring system. Prometheus works to retrieve data from the SNMP (Simple Network Management Protocol) and process the data using an exporter. Grafana can create visualizations on the network device monitoring system from the data that has been processed. This study uses a simulation method on PNETLab and VMware software. Based on the results obtained, the Grafana dashboard display can display the traffic interface on the router. The dashboard displayed is when ether 2 connected to the north 2nd floor router experiences interference which causes the north 2nd floor router to not get internet network access so that a warning appears in the form of a notification message R_LT2_UTARA | Down from DSTIbot via Telegram. The repair effort for the problem was carried out by connecting ether 3 from the middle 1st floor router to the north 2nd floor router so that the north 2nd floor router still gets internet network access. The repair displays the message notification R_LT2_UTARA | Up from DSTIbot via Telegram.
Application of Piezoelectricity on Running Tracks: A Prototype for the Realization of Sustainable and Efficient Energy Putra, Aldy Padmanegara; Arief Hakim, Nurul Fahmi; Haritman, Erik; Al Azhima, Silmi Ath Thahirah; Al Qibtiya, Mariya
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.
Modeling and Simulation of 4-DOF RRPR Manipulator Robot Using MATLAB Permadi, Tesya; Ath Thahirah Al Azhima, Silmi; Al Qibtya, Mariya; Arief Hakim, Nurul Fahmi
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3628

Abstract

In recent decades, the rapid development of robotic technology has increased the demand for efficient and affordable robots, especially in the manufacturing industry. One type of robot that is commonly used is the robotic arm, which is capable of performing complex tasks with high precision and speed. This research focuses on the modeling and simulation of a 4-DOF RRPR robot manipulator using MATLAB software, including the SimScape Multibody Toolbox and Robotic System Toolbox. This study investigates various aspects of robot performance, such as joint angles, end-effector coordinates, and robot dynamics. With an emphasis on simulation, this research aims to accelerate the development of robotic technology and minimize the risks associated with physical implementation in the field. The simulation results provide valuable insights for improving the efficiency, precision, and reliability of robot manipulators in various applications. Furthermore, this research suggests future research directions, such as the exploration of advanced control systems to dynamically compensate for disturbances and the investigation of robots with higher degrees of freedom for more adaptive technology in challenging operational conditions.
One-Phase Smart Switch using OpenCV Hand Gesture Recognition Fauzan, Mochamad Rizal; Khairi, Saiqa Fatur; Kaniarudi, Neneng Puspita; Ath Thahirah Al Azhima, Silmi; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtya, Mariya; Elvyanti, Siscka
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3633

Abstract

The need for simplicity in various activities encourages further technological development. One of them is a system to turn lights on and off with just a hand gesture. This hand gesture-based One-phase smart switch uses OpenCV, Arduino Nano, relays, and webcam cameras to recognize hand gestures. Static finger movements are used as buttons to turn on the lights. The results show that the algorithm used has high reliability with a precision score of 0.90, sensitivity of 0.90, accuracy of 0.96, and F1-score of 0.90. The accuracy of the system is affected by light intensity, distance, and hand tilt angle. At a light intensity of 70 LUX, the accuracy reaches 100%, while at 40 LUX the accuracy ranges from 98-99%. A distance of 30-60 cm gave the best accuracy of 100%, but decreased at longer distances. A hand tilt of 0° gives 100% accuracy, while at an angle of 60° the accuracy drops significantly, especially for the fifth finger with 64% accuracy. The average response time of the light to finger movement is 0.133 seconds. This device can recognize a variety of finger patterns well, thus meeting the desired needs.
Co-Authors Aip Saripudin Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Al Qibtya, Mariya Anandayutya, Bagaskara Ardiansyah, Yogi Arjuni Budi Pantjawati Ath Thahirah Al Azhima, Silmi Azhima, Silmi Ath Thahirah Al Budi, Agus Heri Setya Dadang Lukman Hakim Darmawan, Alvin Dzaki Pratama Darmawan, Dwicky Dwicky Darmawan Erik Haritman, Erik Fakhrudin, Audi Diva Fauzan, Mochamad Rizal Fredianto, Riko Iwan Kustiawan Juanda, Enjang Akmad Kaniarudi, Neneng Puspita Karostiani, Novia Khairi, Saiqa Fatur Luthfi Maulana, Luthfi Mariya Al Qibtiya Mariya Al Qibtiya Mariya Al Qibtiya Mariya Al Qibtiya Moechammad Sarosa Muhammad Adli Rizqulloh Muhammad Randi Alwi Nawawi, Aif Umar Nawawi, Imam Khushthon Nendi Suhendi Syafei nia kurniasih Nur A, Citra Nurhakim, Raihan Nurhidayatulloh, Nurhidayatulloh Permadi, Tesya Prio Aji Widiantoro Putra, Aldy Padmanegara Resa Pramudita Riko Fredianto Robby Ikhfa Nulfatwa Roer Eka Pawinanto, Roer Eka Saepul Rohman Saputra, Dede Irawan Silmi Ath Thahirah Al Azhima Silmi Ath Thahirah Al Azhima Siscka Elvyanti, Siscka Syifani Nur’aini, Tiara Tommi Haryadi Widiantoro, Prio Aji