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All Journal MEDIA ELEKTRIKA ELKHA : Jurnal Teknik Elektro JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro KOMPUTIKA - Jurnal Sistem Komputer Journal of Public Health Education Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Fidelity : Jurnal Teknik Elektro International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Anang Suryana
Universitas Nusa Putra
Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Journal : Fidelity : Jurnal Teknik Elektro

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Menerapkan K-Means Clustering untuk Segmentasi Gambar Database Berwarna Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana; Yufriana Imamulhak; Yudha Putra
Fidelity : Jurnal Teknik Elektro Vol 2 No 3 (2020): Edisi September 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i3.116

Abstract

Image segmentation is very important in the approach of image analysis to learn about any image. The K-means clustering technique is an algorithm widely used in image segmentation systems. This work utilizes the Lab* color space and K-means clustering to offer color-based image segmentation. This research demonstrates image segmentation of a database based on color characteristics using unsupervised K-means clustering technique implemented with MATLAB coding. The entire work is divided into two phases. Firstly, color separation augmentation from the color image database is enhanced through de-correlation stretching. Then, the six areas of the image database are clustered into three groups using the K-means clustering technique. By using the Lab* color space and K-means clustering method in the color image database, we can only show the central area of any image. We can isolate contaminated areas in medical color image databases with this approach and treat diseases quickly. We can use various approaches such as Particle swarm Optimization (PSO) for better results.
Identifikasi Gas terlarut Minyak Transformator dengan Menggunakan Logika Fuzzy Menggunakan Metode TDCG untuk Menentukan Kondisi Transformator 150 KV Anggy Pradiftha Junfithrana; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Aryo De Wibowo
FIDELITY : Jurnal Teknik Elektro Vol 1 No 1 (2019): Edisi Mei 2019
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v1i1.122

Abstract

Penelitian ini membahas tentang Trainer HMI WEINVIEW dan PLC OMRON CPM1A. Dengan adanya trainer ini, mahasiswa Teknik Elektro Universitas Nusa Putra dapat belajar dan memahami lebih dalam tentang PLC. Dengan berkembangnya teknologi di industri, mahasiswa dituntut untuk mengetahui dan memahami HMI (Human Machine Interface) dan PLC (Programmable Logic Controller) karena di industri, semua mesin produksi sudah menggunakan sistem kontrol HMI untuk antarmuka atau monitor kondisi di lapangan dan program PLC untuk mesin, penggunaan PLC lebih baik dibandingkan dengan sistem kendali konvensional atau disebut juga sistem manual
Adaptive Neuro-Fuzzy Inference System (ANFIS) Method for Developing a Decision Support System for Determining Landslide Susceptibility Dede Sukmawan; Muchtar Ali Setyo Yudono; Danang Purwanto; Dio Damas Permadi; Anang Suryana; Utamy Sukmayu Saputri; Marina Artiyasa
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.131

Abstract

Landslide catastrophes are one of the disasters that frequently occur in Indonesia owing to the weather and climatic features, regional terrain, and geological formations that make this nation prone to landslides. The primary goal of this research is to compare the application of the fuzzy logic technique and the adaptive neuro-fuzzy inference system (ANFIS) approach to landslide detection sensors based on prior research in order to identify landslide-prone locations more easily. The Adaptive Neuro-Fuzzy Inference System (ANFIS) technique analyzes the landslide area using three factors. Rainfall, land slope, and soil moisture are examples of these factors. This variable is used to assess the area's level of vulnerability to landslides: very safe, relatively safe, relatively potential, potential, and very potential. In the study, each piece of data is subjected to a training and testing procedure to identify landslide vulnerability, with the factors and weighting methods aligned with current government standards. This study compares the rules outcomes to those of past studies as well as the system results. Based on the studies findings, it can be stated that the decision support system for the degree of landslide vulnerability utilizing the ANFIS approach is superior to the fuzzy logic method, with an accuracy rate of 86.21%.
Bandwidth Capacity Analysis on Fiber Optic Networks for E - learning at Pakuan University Waryani Waryani; Evyta Wismiana; Anang Suryana; Adam Muhamad Ali; Chairinaufal Salasa Usmi
Fidelity : Jurnal Teknik Elektro Vol 5 No 2 (2023): Edisi Mei 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i2.153

Abstract

Pakuan University (UNPAK) currently has 6 faculties for undergraduate programs, vocational schools, graduate, and post-graduate programs, with an interconnected fiber optic network. The management of the fiber optic network is carried out by Putik as O & M in collaboration with Moratel as the internet connection provider with a bandwidth of 550 Mbps. Analyzing the bandwidth capacity of the fiber optic network is crucial for the implementation of e-learning at Pakuan University. E-learning plays an important role in supporting the teaching and learning process during the Covid-19 pandemic, whether online or remote learning. Based on the daily user recapitulation, it is known that e-learning usage peaks between 08.50 – 10.30 Western Indonesian Time on an usual Monday with 6,505 users in total. The Faculty of Social and Cultural Sciences (FISIB) holds the highest usage of 143.23 Mbps, along with other faculties which exceeds the predetermined capacity of 40 Mbps each. This caused the Simple Queue method to experience access delays of even Request Time Out (RTO) conditions. Therefore, the Simple Queue method is no longer adequate, making the Queue Tree method the better option.
Ultrasonic Sensor for Measurement of Water Flow Rate in Horizontal Pipes Using Segment Area Suryana, Anang; Yudono, Muchtar Ali Setyo
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.143

Abstract

Measurement of flow rate in wastewater pipes is still challenging to be done in real-time. The main challenge in wastewater measurement is the non-homogeneity of wastewater due to the presence of solid waste material. This becomes a hindrance when using mechanical flow measurement or direct contact between the fluid and the measuring device. Therefore, the solution is to perform non-contact flow measurement between the fluid and the measuring device. In this study, a flow sensor was developed for a horizontal pipe using the cross-sectional area measurement method on a horizontal pipe measured by an ultrasonic sensor as the fluid level measuring device. The ultrasonic sensor can measure the height of the fluid level, allowing the flow velocity and cross-sectional area of the horizontal pipe to be determined. The basis of this measurement is that any flowing fluid in a pipe that experiences a change in velocity will also experience a change in volume or fluid level. This measurement is in accordance with the continuity equation. From the calibration results, an error of 1.7% was obtained for the height measurement from the ultrasonic sensor compared to the ruler used as a height calibration tool. Meanwhile, the error in the flow velocity measurement from the ultrasonic sensor compared to the calibration results using the tracker software was 4.2%. The error in volume measurement from the ultrasonic sensor compared to the standard measuring tool, a 5-liter beaker glass, was 0.8%. As a conclusion, flow rate measurement using the ultrasonic sensor with the cross-sectional area measurement method can be used to measure the flow rate in a horizontal pipe with a diameter of 11 cm.
Design of Lightning Strike Hazard Zone Detection System for Direct Lightning Strike Prevention in Open Area Nugraha, Adi; Al Bantani, Rahmat Ato'ullah Gumilang; Grahito; Yudono, Muchtar Ali Setyo; Suryana, Anang
Fidelity : Jurnal Teknik Elektro Vol 6 No 3 (2024): Edition for September 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i3.247

Abstract

Lightning is a dangerous natural phenomenon due to its high-voltage electrical energy, which can cause significant damage. The primary hazard of lightning is direct strikes, potentially leading to severe burns, organ failure, and even death. Additionally, lightning can trigger fires, disrupt power grids, and cause explosions. To mitigate these risks, this research focuses on designing a lightning detection system using the "rolling sphere" method. The lightning strike zone is modeled using CorelDRAW software, aiding users in visualizing areas prone to lightning strikes. The device is assembled with electronic components designed to detect lightning based on the method, considering parameters such as peak current, current steepness, charge, and impulse force. Once assembled, the system undergoes testing in an open area at the Faculty of Engineering, Sultan Ageng Tirtayasa University, to verify its functionality and accuracy. Testing is conducted at night to minimize weather-related disturbances, such as Cumulonimbus clouds. The results confirm that the device operates as expected, successfully identifying areas at risk of lightning strikes. This system is anticipated to enhance safety and infrastructure protection in lightning-prone regions.
A Novel Interval Type-2 Fuzzy Logic Controller for Shunt Active Power Filters in Power Quality Enhancement Sidik, Aryo De Wibowo Muhammad; Efendi, Efendi; Lumbantobing, Harurikson; Indrawan, Bayu; Junfithrana, Anggy Pradiftha; Ula, Rini Khamimatul; Suryana, Anang; Tambunan, Handrea Bernando; Narputro, Panji; Artiyasa, Marina
Fidelity : Jurnal Teknik Elektro Vol 6 No 2 (2024): Edition for May 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i2.248

Abstract

This paper proposes a novel control strategy for enhancing power quality through the implementation of an Interval Type-2 Fuzzy Logic Controller (T2FLC) for Shunt Active Power Filters (SAPF). The presented method effectively addresses harmonic distortions introduced by non-linear loads, a common issue in modern electrical systems. Extensive simulations conducted in MATLAB/Simulink demonstrate the T2FLC's ability to regulate the DC bus voltage while significantly reducing Total Harmonic Distortion (THD). The method achieves superior performance compared to both traditional passive and active filtering techniques, reducing THD within the limits specified by IEEE 519-2014 standards. The results confirm the robustness and adaptability of the proposed approach across varying load conditions, establishing it as a reliable and scalable solution for improving power quality in complex electrical networks.
Bibliometric Analysis of IoT-Driven Smart Agriculture and Irrigation Management Research: Trends, Topics, and Publication Patterns (2019-2024) Hendrawati, Trisiani Dewi; Narputro, Panji; Wicaksana, Fikri Arif; Suryana, Anang
Fidelity : Jurnal Teknik Elektro Vol 7 No 2 (2025): Edition for May 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v7i2.295

Abstract

This study explores the bibliometric analysis of research on smart agriculture and IoT-based irrigation management from 2019 to 2024, focusing on trends, topics, and publication patterns. Smart agriculture integrates advanced technologies such as IoT, artificial intelligence (AI), and big data analytics to enhance productivity and sustainability in farming systems. The analysis identifies a steady growth in publications, with a significant spike in 2023, reflecting the increasing global interest in utilizing IoT technologies to address challenges like water scarcity, climate change, and food security. Key topics include IoT-based sensor technologies for soil and water management, precision agriculture, and sustainable farming practices.The study also highlights the role of international collaboration, with countries like India, China, and the United States emerging as central hubs in fostering interdisciplinary research. Major sources such as Lecture Notes in Networks and Systems, AIP Conference Proceedings, and IEEE Access significantly contribute to the dissemination of research findings. Furthermore, the co-occurrence network analysis reveals the dominance of IoT as a central theme, with strong links to related topics like irrigation, soil moisture, and crop management.This research provides valuable insights for researchers, policymakers, and practitioners by identifying critical trends and research gaps, emphasizing the importance of IoT in optimizing irrigation systems, improving efficiency, and promoting sustainable agricultural innovations. These findings support the development of smart agriculture systems that are adaptive to global challenges and resource constraints.
Co-Authors Adam Muhamad Ali Ade Sopian Adi Nugraha Adi Nugraha Adi Nugraha Adikara, Fransiskus Ahmad khuzairi Ajat Al Bantani, Rahmat Ato'ullah Gumilang Alya Abdul Zabar Anggy Pradiftha Junfithrana Arrozi , MF Artiyasa, Marina Aryo De Wibowo Astri Sri Rahayu Bayu Indrawan Bobi Grahadinansyah Chairinaufal Salasa Usmi CSA Teddy Lesmana Danang Purwanto Dede Sukmawan Deden Rahmat Dera Septa Dimas Arya Pamungkas Dio Damas Permadi Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Efendi Efendi Eva Fauziah Evyta Wismiana Firmanul Catur Wibowo Gina Syabani Yuda Grahito Gustian, Dudih Handrea Bernando Tambunan Handrea Bernando Tambunan Harurikson Lumbantobing Harurikson Lumbantobing Hendrawati, Trisiani Dewi Ilman Himawan Kusumah Ilman Himawan Kusumah Indrawan, Bayu Indri Sari Utami Intan Putri Kania Irlan, Ade Okvianti Ivano Kumaran Julia Damayanti Lisa Oksri Nelfia Lumbantobing, Harurikson M. Alfirdan Marina Artiyasa Marina Artiyasa Marina Artiyasa Moch Alif Wicaksana Moch Rizky Mochtar Ali Setyo Yudono Muchtar Ali Setyo Yudono Muhamad Ramdhani Firmansyah Muhammad Galuh Sutisna Muhammad Shobirin Narputro, Panji Neng Rani Nabawiyah Nuraiman Pahmi, Samsul Paikun Popi Puspitasari Pratama Ginanjar Kharisman Rahmat Firman Septiyanto, Rahmat Firman Resnawati Febrian Rintho Rante_Rerung Rizky Taufik , Akhmad Rossa Najwa Saputri, Utamy Sukmayu Setiawati Sholahudin, Sholahudin Ta Aliyono Hadi Taufik Kurnia Azis Tomi Lotama Ula, Rini Khamimatul Utami, Indri Sari Utami, Indri Sari Virya Nanda Romanista Waryani Waryani Wicaksana, Fikri Arif Yopani Selia Almahisa Yosep B. Hutahaean Yudha Putra Yudha Putra Yufriana Imamulhak Yufriana Imamulhak Zafar Akbar