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Program Studi Teknik Elektro, Universitas Nusa Putra Gedung B Lt.5 Jl. Raya Cibolang No. 21, Sukabumi, West Java, Indonesia 43152
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Fidelity : Jurnal Teknik Elektro
Published by Universitas Nusa Putra
ISSN : 26863650     EISSN : 26863642     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Focus Fidelity : Jurnal Teknik Elektro merupakan media publikasi penelitian di bidang Teknik Elektro khususnya dalam ruang lingkup Instrumentasi, kendali, pengolahan sinyal, telekomunikasi, komputer dan listrik tenaga. Naskah atau makalah yang diterbitkan telah melalui kajian dari para mitra bestari dan telah lolos uji plagiasi. Jurnal ini menyediakan akses konten teknik elektro yang terbuka secara penuh dengan tujuan memberikan sumbangsih pada penyebaran ilmu pengetahuan secara bebas untuk publik dan mendukung pertukaran pengetahuan secara global. Jurnal Fidelity diterbitkan oleh Program Studi Teknik Elektro, Universitas Nusa Putra. Scope Topik-topik yang dapat diajukan untuk diterbitkan pada jurnal ini meliputi: Elektronika, Mekatronika, Robotika, Unmanned Vehicle, Mobil Listrik, Teknologi Alat Pertanian, Medical Devices, Pemrosesan Gambar, Kecerdasan Buatan, Inovasi Internet Of Things Sistem Telekomunikasi, Teknologi Wireless, Radar, Sistem Informasi, Rekayasa Industri, Teknologi Industri
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 10 Documents
 1 
Search results for , issue "Vol 5 No 1 (2023): Edisi Januari 2023" : 10 Documents clear
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%.
Improvement Automatic Diabetic Management System using Fuzzy Logic Fahrul Nizar Novagusda
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.v5i1.133

Abstract

In almost every nation on the planet, diabetes may be a common chronic condition. Monitoring blood glucose levels is essential to preventing diabetic complications and organ damage. The most used technique for monitoring blood glucose levels is intrusive, uncomfortable, expensive, and risky for transmitting infectious infections. The invasive procedure harms the tissues in the fingers over time. The suggested system functions on a diabetic patient and informs the caregiver or observer of the patient's state. The patient's fingertip is inserted between the glucose-measuring sensors, which a microcontroller uses to calculate the patient's glucose level. When the body's glucose level rises, an insulin injector will automatically inject insulin; glucose will be injected when it falls. The patient's mobile application is utilized to view the insulin and glucose injection amounts and the glucose measurements taken each time. When in critical condition, an SMS is sent to the doctor's or a family member's phone with crucial information and the patient's location.
Design and Analysis of Grid Connected Photovoltaic Rooftop System in Emergency Room (IGD) Regional General Hospital (RSUD) Hj. Anna Lasmanah Banjarnegara Efendi Efendi; Alfaozan Imani Muslim; Aryo De Wibowo Muhammad Sidik
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.v5i1.134

Abstract

Renewable energy in Indonesia is numerous, abundant, and diverse. Almost every region in Indonesia has renewable energy sources that can be utilized to become renewable power plants, which are industrial or large-scale, small-scale, or only for regional use. Itself. PLTS is a power plant with many opportunities that can be developed in Indonesia. Based on the results of the analysis that has been carried out, several conclusions can be drawn about designing a rooftop solar power plant using the HelioScope software. The results show estimated energy production obtained through simulations using HelioScope for one year is 882,398 kWh, with the highest production occurring in May at 8,554.6 kWh and the lowest production in November at 6,120.3 kWh. HelioScope application, besides being able to display the irradiation results and production results of the designed or simulated PLTS, HelioScope also shows that there are power losses that affect PLTS production, which is caused by the temperature of the solar cell module of 6.7%. At the same time, other power losses and the most negligible effect are caused by the conductor of 0.3%. The HelioScope application makes it easy to determine the initial design for installing solar panels for a house or building and where we want or are going.
Design of Solar Rooftop Using Helioscope in The Gazebo of Pelabuhan Ratu Coal Power Plant Bayu Indrawan; Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana; Marina Artiyasa; Ilman Himawan Kusumah; Andika Kurniawan
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.v5i1.137

Abstract

Research on simulating the design of a solar power plant in the village of Wantilan Antosari aims to promote the use of new renewable energy sources. The method of PLTS is completed by paying attention to and accounting for the tilt angle in the Helioscope Software, designing the positioning of solar panel modules, designing inverters, configuring circuits, accounting for the number of batteries used, choosing Battery Control Units, and calculating investment. According to the simulation run by the helioscope program, nine solar modules at an angle of 58.7 can power a battery with a 500Ah capacity. The simulation also establishes an inverter with a 24.06kW inverter that generates 4.0 kWp power.
Design and Analysis of Grid Connected Photovoltaic Rooftop System in the Kadudampit District Office Edwinanto; Yudha Putra; Harurikson Lumbantobing; Yufriana Imamulhak; Danial Zulfiqar
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.v5i1.138

Abstract

Utilizing clean and renewable energy is crucial for progress and development. Reducing carbon emissions is the goal of using this renewable energy, resulting in a clean and healthy environment. With only a tiny CO2 emission of 20.32% or CO2 emissions reduced by up to 79.69%, solar energy is regarded as one of the most environmentally friendly renewable energy sources. The method used in this study is to simulate the creation of PLTS with the HelioScope web application with a design project for the Kadudampit sub-district office, Sukabumi district. The results of this study are that with the use of new renewable energy (EBT) for solar power plants (PLTS), the monthly energy production obtained is relatively stable, with yields ranging from 1,041.5 kWh - 1,568.1 kWh, and the annual energy production got is 14,853.7 kWh.
Optimization Detection of Skin Cancer using Deep Learning Reynatha Chrestella Amandara Pangsibidang; Syahrul Tuba
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.v5i1.139

Abstract

Skin cancer is caused by the formation of abnormal cells that can assault or spread to numerous body sections. The skin cancer symptoms may include a mole with varying size, shape, and color, irregular edges, multiple hues, and sometimes, itching or bleeding. Exposure to the sun's UV radiation is attributed to more than 90 percent of known occurrences of Skin Cancer. In order to categorize cancer as malignant or benign, this study outlines the development of a classification system for skin cancer using deep learning. This system would use TensorFlow and Keras. The technique is used to classify skin cancer using the images from the data set that have been collected. After deployment, it was determined that the created Convolutional 2-D layer system was 78% accurate.
Allowance of Laundry Wastewater Contaminant Parameters by Electrocoagulation Process Revi Rizky Ramadhan; Peppy Herawati; Hadrah Hadrah
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.v5i1.140

Abstract

The laundry business is one of the household-scale businesses that is currently developing in Jambi City. This is possible because the number of laundry business customers is increasing along with the increase in the population in the city of Jambi and the increasingly diverse activities of the people of the city of Jambi. The laundry business in Jambi City is more than 300 units, so if the laundry waste is not treated first, it will have the potential to cause environmental pollution because of the compounds it contains. This study aims to determine the efficiency of the electrocoagulation process to decrease parameters in laundry wastewater, while the parameters observed are pH, COD (Chemical Oxygen Demand), and Phosphate (PO4). Cause pollution to the surrounding environment, especially in receiving water bodies. Variable voltage (voltage) in the electrocoagulation process is 9 volts, 12 volts, and 15 volts with a reactor capacity of 12 liters with a time of 30 minutes and 60 minutes at each voltage. Decreasing parameters were analyzed by comparing pH, COD (Chemical oxygen demand), and Phosphate (PO4) before and after the study, as well as the effect of voltage (voltage) and contact time on the effectiveness of decreasing parameters. The highest percentage of COD reduction efficiency is 80%, Phosphate Parameter is 92%. Voltage (voltage) and contact time also affect the results of parameter removal.
Automatic Water Tank Filling Simulation Based on LabVIEW Agung Rizky Jamas; Ismah Nurul Sya’bani; Ryan Adam Hidayatullah; Ratnasari Ratnasari; Didik Aribowo
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.v5i1.141

Abstract

Automatic tank filling is the process of filling water in the tank in a more efficient way or automatically without having to be controlled manually. How to simulate it by compiling a schema using the Labview application. When it is planned, a simulation will produce a predetermined schema. With the simulation of filling the tank water using the Labview application, it becomes more effective because it becomes automatic when the water tank is empty, the machine will turn on and fill the water in the tank and vice versa when the water tank is full, the machine will turn off, and also the capacity of the water in the tank can be estimated. . So there is no need for manual control anymore. System control can be done anywhere so it will not interfere with daily activities. The system that is carried out is a system that is needed in this world so that everything goes well without interruption. The feasibility of the required system is in accordance with predetermined standards, so that there are no errors that will interfere with the system and activities that are being used. This simulation is useful to find out if there is an error in the system used in the automatic tank. Automatic tank filling is very useful for homes that have smart homes, because they can be monitored remotely via smartphones or applications used to run certain systems.
Optimization Heart Disease Prediction using Machine Learning Models Syahrul Tuba
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.v5i1.142

Abstract

Healthcare is currently one of the most pressing global issues, with an increase in the incidence of cardiac disease affecting all age groups, particularly the young. Rapid identification and treatment of heart problems can potentially save lives. Artificial intelligence has the potential to significantly aid in this effort. In this study, we aimed to develop a heart disease prediction model using machine learning techniques. We utilized several models, including Support Vector Machine (SVM), K-Neighbors Classifier, Random Forest Classifier, Decision Tree, and Logistic Regression. Based on our experiments, the logistic regression and K-NN models produced the best results, with accuracies of 0.95592% and 0.956194%, respectively. Our findings suggest that machine learning models can be optimized for heart disease prediction and have the potential to improve healthcare outcomes.
Ultrasonic Sensor for Measurement of Water Flow Rate in Horizontal Pipes Using Segment Area Anang Suryana; Muchtar Ali Setyo Yudono
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.

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