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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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Comparative Study of Internet of Things (IoT) Platform for Smart Home Lighting Control Using NodeMCU with Thingspeak and Blynk Web Applications Marina Artiyasa; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 1 (2020): Edisi Januari 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i1.103

Abstract

Today's technology has developed rapidly with the Internet of Things (IoT) which is a concept that aims to expand the benefits of continuously connected internet connectivity. Internet of Things (IoT) is a development of network communication of interrelated objects connected through internet communication and can exchange data, turning it into information. Many tools are created to ease human work and even replace human work. Controlling room lights in a house using NodeMCU is one of the Smart Home technologies based on the Internet of Things (IoT). This research can provide information about the differences, advantages and disadvantages of Web, Thingspeak and Blynk applications for Smart Home devices to turn on and off house lights via the internet using laptops and smartphones. NodeMCU is a microcontroller that can be analogous to the Arduino ESP8266 board. NodeMCU includes ESP8266 and is packaged in a compact board with various features such as a microcontroller, WiFi access capabilities, and a USB data cable extension chip, which is used as a data cable and charging cable for Android smartphones. From the analysis results using the three platforms, it is known that Blynk is superior to the other two platforms because the way to create and operate is easier and more efficient
Design and Implementation of an IoT-Based Electric Motor Vibration and Temperature Disruption Handling System Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 2 (2020): Edisi Mei 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i2.108

Abstract

Faults in three-phase electric motors often occur in power plants. Unfortunately, the disturbances are unpredictable and reduce unit performance. This paper presents an Internet of Things (IoT) based intrusion handling system for secure and economic data communication in industrial fields. The build system can monitor and control with FLM (First Line Maintenance). FLM is a minor corrective maintenance activity carried out while the unit is operating with the provision of simple equipment. Device design and testing using the ESP8266 microcontroller module to obtain motor vibration, current, and temperature information for motor conditions supported by the application as a user interface. The result prevents further damage to the electric motor by adding an external fan and a grease pump that serves for additional engine cooling. This research contributes to improving the performance of the generator at PT. Indonesia Power UJP West Java II Palabuhanratu is one of the steam power plants in West Java, Indonesia
Gambaran Umum Metode Klasifikasi Data Mining Aryo De Wibowo Muhammad Sidik; Ilman Himawan Kusumah; Anang Suryana; Edwinanto; Marina Artiyasa; Anggy Pradiftha Junfithrana
FIDELITY : Jurnal Teknik Elektro Vol 2 No 2 (2020): Edisi Mei 2020
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v2i2.111

Abstract

Berbagai metode klasifikasi data mining diperiksa dalam penelitian ini untuk aplikasi database baru. Untuk menemukan suatu model, klasifikasi membagi data ke dalam kelompok-kelompok berdasarkan batasan yang telah ditentukan. Metode klasifikasi penting lainnya adalah algoritma Genetika C4.5, Naive Bayes, dan SVM. Akhirnya, kami membahas penjelasan algoritma
Automatic Gas Control System In The Motorcycle Braking Process With The Concept Of Non-Uniform Slowing Down Motion Anang Suryana; Anggy Pradiftha Junfithrana; Ilman Himawan Kusumah; Aryo De Wibowo; Edwinanto; Marina Artiyasa; 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.v2i3.115

Abstract

When motorcyclists have an accident, they are at high risk of suffering severe or fatal injuries. The difficulty experienced by motorcyclists and considered one of the most complicated to do in an emergency is braking because motorcycle accidents are often caused by loss of control or stability when braking as evasive action. In the braking process, a motorcycle must pay attention to distance and speed so that the deceleration during braking is by the kinematic concept to avoid the shock force during braking, in this study uses research and development methods in making automatic braking systems on motorbikes. The actuator system controls the brake pedal, and the gas pedal uses a stepper motor. The two stepper motors will move automatically if the motorbike detects an object in front of it at less than 4 meters. The angle of the stepper motor that drives the brake lever is in a span between 0 degrees to 30 degrees, while the tip of motion of the stepper motor that moves the gas pedal is in a span of 0 degrees to 70 degrees. The angle movement of the stepper motor is influenced by the distance detected by the HC-SR04 type proximity sensor and the motorbike speed detected by the KY-003 type speed sensor, which works by utilizing the hall effect principle. The results of the tests that have been carried out show that the automatic braking system created can work well with an indicator that there is no shock force during the automatic braking process
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
EEG-Based Classification of Schizophrenia and Bipolar Disorder with the Fuzzy Method Aryo Sidik; Harurikson Lumbantobing; Anang Suryana; Muchtar Ali Setyo Yudono; Edwinanto; Yudha Putra; Yufriana Imamulhak; Bayu Indrawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 2 (2022): November 2022
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v5i2.68

Abstract

This study demonstrates various fuzzy-based strategies for classifying and diagnosing people with mental illnesses such as schizophrenia and bipolar disorder. The signals collected from 32 unipolar electrodes during non-invasive electroencephalogram analysis were examined to determine their key characteristics. This research uses a sophisticated fuzzy-based radial basis function neural network. Entropy analysis and analysis of variance of other statistical parameters are also used. Three hundred and twelve schizophrenic patients and 105 individuals with bipolar disorder were examined. In contrast to healthy controls, the data indicated that the patients were correctly classified. With close to 96% accuracy, the suggested method outperforms existing machine learning methods, such as support vector machines and k-nearest neighbors. Conclusion: This categorization method will enable the development of highly accurate algorithms to identify and classify various mental illnesses.
Sistem Monitoring dan Kontrol Katup Pendingin terhadap Temperatur Air Outfall PLTU Marina Artiyasa; Anang Suryana; Muhammad Shobirin; Anggy pradiftha junfithrana; Aryo de Wibowo Muhamad Sidik; Mochtar Ali Setyo Yudono; Edwinanto Edwinanto
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 7, No 1 (2023)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v7i1.15449

Abstract

The Pelabuhan Ratu Steam Power Plant (PLTU) is a large-scale power plant that generates a lot of heat energy. Sea water is one of the cooling systems or cooling systems that can be used, but the continuous use of sea water as a cooling system media at the power plant has a negative impact because if the cooling system output water has a hot temperature that exceeds the provisions, it will disrupt marine life near the water disposal area. A cooling system, also known as an outfall or downstream channel. In order to address these issues, a study titled the monitoring and control system of the cooling valve on the outfall water temperature of the Pelabuhan Ratu PLTU with Fuzzy Tsukamoto was conducted. The goal of this study is to create a prototype of an Internet of Things (IoT)-based cooling valve system. The main device connected to the internet is the Nodemcu ESP8266 microcontroller, and two DS18B20 temperature sensors are used to measure the water temperature, as well as the Tsukamoto Fuzzy method to control the water-cooling servo valve downstream of the channel. The research results from the prototype design of the cooling valve system were successful, and the system is able to control the server motor that is connected to the outfall water temperature cooling valve using the input value from the DS18B20 temperature sensor, with a 90% success rate. The output of this system can be monitored and controlled using the Tsukamoto Fuzzy method. With the implementation of this system, it is possible to keep the outfall water temperature below the maximum threshold set by the Ministry of Environment and Forestry.
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%.
ANALISIS POTENSI PEMBANGKIT LISTRIK TENAGA PIKO HIDRO ARCHIMEDES SCREW TURBINE DI CURUG SAWER Moch Rizky; Muchtar Ali Setyo yudono; Anang Suryana; Adi Nugraha
MEDIA ELEKTRIKA Vol 16, No 1 (2023): MEDIA ELEKTRIKA
Publisher : PSTE UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/me.v16i01.10183

Abstract

People all across the world depend on electricity, which is now primarily produced by fossil fuel power plants. The world is currently switching to use a sustainable and affordable energy source, new renewable energy, or NRE. Water is a energy source of NRE, making it one of the potential sources of NRE around the world. Sukabumi, which is spread out across a large region and has a lot of hydropower potential, has a great chance of being used to run Piko-scale hydropower. Curug Sawer, a popular tourist destination with the potential of hydro power plants, is one of the PHPP potentials in the Sukabumi region. Based on CaSimir and Simulink MATLAB simulations, this study presents an examination of the potential for a pico hydro power plant with an Archimedes Screw turbine. With an area discharge of 0.67 m3/s and a Head height of 1.1 m, the natural reservoir area at Curug Sawer served as the study's source of hydropower. With these parameters, this PHPP can generate 4.67 kW of electricity and 110 kWh of power each day. The tourism destination curug sawer area might save Rp 1,768,680.00 per month on power because of this possibility.
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