Articles
120 Documents
<![CDATA[Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi ]]>
<![CDATA[Yazid Fauzan Nur Ashfani]]>;
<![CDATA[Yovi Litanianda]]>;
<![CDATA[Rizqy Amalia Putri]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i2.129
<![CDATA[This study analyzes the use of deep learning, primarily Convolutional Neural Networks (CNN), to categorize various types of citrus fruits. The study attempts to create an automated system that can accurately categorize citrus fruit kinds using image processing techniques. The collection contains 40 photos of four different citrus fruit types: pomelo, mandarin orange, kaffir lime, and lime. The methodology entails gathering photos, preprocessing them to improve quality, and then training a CNN model to classify the fruit varieties. The results show a high accuracy rate of 95% in classifying fruit types, demonstrating that the CNN model is effective for this task. The findings indicate that increasing the dataset and including other fruit species could significantly boost the system's accuracy.]]>
<![CDATA[Pengembangan Aplikasi Pencarian Tutor Les Privat Berbasis Mobile Menggunakan Metode Profile Matching ]]>
<![CDATA[Dapamudang, Milton]]>;
<![CDATA[Alfrian C Talakua]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v1i2.130
<![CDATA[Education is vital for human beings to develop and continue their lives. Although many of the tutor search apps are available, students in Eastern Sumba have difficulty enjoying this service because no private tutor is resident in East Sumba. A private lesson tutor is important for students who need more intensive learning outside of school, especially parents who are busy or do not have the opportunity or knowledge to help their children. The challenge often faced is the difficulty of finding a tutor that suits the needs of the student. The use of profile matching methods can help parents or student guardians find private tutors based on specific needs or preferences, such as subject, level of experience, location, or other criteria. Tutors that meet these criteria will appear as search results. Testing with the System Usability Scale (SUS) showed that the application is qualified for users, as it achieved an average score of 72.62. ]]>
<![CDATA[Aplikasi Mobile Untuk Pengelolaan Pengumuman dan Informasi Sekolah Dengan Fitur Push Notification ]]>
<![CDATA[Aristho Umbu Nggaba Kaho]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v1i2.136
<![CDATA[Information technology is one of the important aspects in life, including iin the world of education. In this research, an application for managing school announcements and information with push notification features is developed. The purpose of designing this application is to improve communication between the school, students and parents of students at SMK Negeri 3 Pahunga Lodu. Because this school still uses conventional methods in delivering announcements and information. Through needs analysis, design, development, push notification feature implementation, and application testing, this research succeeded in creating a platform that allows users to receive real-time information. Testing the feasibility of the application using the System Usability Scale (SUS) involving 20 respondents, the score generated in this test is 78. This shows that this application has a good level of usability. the implementation of this application is expected to answer the problems of SMK Negeri 3 Pahunga Lodu. ]]>
<![CDATA[Implementasi Metode Convolutional Neural Network (CNN) untuk Klasifikasi Jenis Ras Kucing ]]>
<![CDATA[Aliefah Syalma Ratsdea Muftti]]>;
<![CDATA[Yovi Litanianda]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v1i2.172
<![CDATA[This research implements the Convolutional Neural Network (CNN) method to classify the various types of cat breeds that are common in Indonesia. This research attempts to create an automatic system that can definitely and accurately classify and identify the types of cat breeds that exist in Indonesia using image processing techniques. The data used contains a total of 600 images with each folder containing 200 images. Using this CNN method produces a validation accuracy rate of 54% in the process of classifying cat breeds. Research shows that further developing the image processing process will increase the accuracy value of the resulting system.]]>
<![CDATA[Rancang Bangun Sistem Monitoring Suhu dan Kelembapan Berbasis IoT Pada Filter G4 Ventilasi PV Box ]]>
<![CDATA[Rafly Hadi Pangestu]]>;
<![CDATA[Paniran Paniran]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i2.174
<![CDATA[As time goes by, the rapid development of technology has brought various conveniences to people's daily activities. An example of the continuation of technology is microcontrollers and electronic devices that can be connected to the network. One of them is the industrial sector in the PLTS plant at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol which has PV Box generating equipment that requires temperature and humidity control to determine the cause of corrosion that occurs in the PV Box.This study is intended as a solution in monitoring PV Box generating equipment. This technology development uses the Internet of Things (IoT) which combines the physical and virtual worlds. In this research, the method used is the experimental measurement method, making the system created more real and detailed. In research using DHT11 equipment which has the advantage of being able to estimate temperature and humidity. NodeMCU ESP32 as a microcontroller connected to the blynk platform via the internet functions to manage hardware, show evidence of sensors, secure data, depict data, and others. The results of the research on designing a temperature and humidity monitoring system at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol were successfully created and produced positive effects by being monitored using the blynk platform. This research was carried out in real time using a cell phone wherever you are. This research shows that temperature measurements from the DHT11 sensor obtained an average temperature of 31.78%, while the average humidity value was 85.96%, which indicates that the room being measured had high humidity. By considering these two findings, it can be concluded that the cause of corrosion in the room is high humidity and redox reactions from various substances in the environment.]]>
<![CDATA[Optimalisasi Waktu Penjemputan Dan Lokasi Pada Data Histori Perjalanan NYC TLC Menggunakan Exploratory Data Analysis ]]>
<![CDATA[Andy Hermawan]]>;
<![CDATA[Antonius Andriyanto]]>;
<![CDATA[Ryandri Alif Pratomoputra]]>;
<![CDATA[William Armand Rahardjo]]>;
<![CDATA[Yogga Prastya Wijaya]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 2 (2024): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v1i2.175
<![CDATA[This study analyzes the "NYC TLC Trip Record" dataset for the period January 1, 2023 to January 31, 2023 to understand taxi usage patterns in New York City. The objectives to be achieved in this analysis include: (1) Identify the days and times with the highest demand for taxi services, (2) Identify the boroughs with the highest demand for taxi services. We applied univariate analysis for this analysis. The results show that the day with the highest demand occurs on Tuesday for the densest time occurs in the vulnerable time of 3 pm to 6 pm. The boroughs with the highest taxi demand are Manhattan, Queens, and Brooklyn. This analysis provides the results for NYC TLC to develop a data-driven optimization strategy. This analysis not only helps in identifying demand hotspots but also provides insights for more efficient taxi scheduling and placement. With this analysis, it is expected that more effective pick-up time and location optimization strategies can be developed, thereby improving operational efficiency and customer satisfaction in taxi services in New York City.]]>
<![CDATA[Penerapan Teknologi CNN Dalam Proses Pendeteksi Kematangan Buah Stroberi ]]>
<![CDATA[Zahrotul Ilmi Wijayanti]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i3.192
<![CDATA[The process of manually identifying fruits to determine ripe and unripe can affect the production and quality of the food and beverages themselves. The CNN method is able to group images and analyze images based on objects. Therefore, it is necessary to conduct research using the CNN method on the ripeness of strawberries. This study aims to determine the level of maturity of strawberries during harvest time. The accuracy graph shows that the model is not only capable of learning the training data well but can also generalize well to the validation data. In contrast, the validation accuracy graph starts from 0.825 in the 0th epoch and rises consistently until it reaches 0.975 in the 30th epoch. Both charts remained stable above those values throughout the training period. Overall, the development of the CNN model for the detection of strawberry ripeness resulted in excellent performance. The model achieved the lowest loss of 0.0383 and an accuracy as high as 98% on the validation data, demonstrating a strong ability to accurately predict between ripe and unripe strawberries.]]>
<![CDATA[Sistem Monitoring Pemberian Pakan Ikan Di Aquarium Ikan Hias Menggunakan Aplikasi Blynk Dengan Memanfaatkan Teknologi Iot ]]>
<![CDATA[Siti Ma’shumah]]>;
<![CDATA[Ellys Kumala Pramarthaningthyas]]>;
<![CDATA[Fathur Rohman]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i3.194
<![CDATA[Technological advances in the industrial era 4.0 mean that various things must prioritize convenience and efficiency in carrying out daily work such as carrying out automatic maintenance and control in the home. This has made many people able to produce various forms of technology that can be controlled automatically and help with work. people who can't take up much time. OT is a technology built to provide ease of work that can be connected to each other using the internet. One use of IoT technology is in the household sector to feed ornamental fish according to need and monitor remaining feed. This tool is designed for NodeMCU as control and an internet connection that is integrated with the Blink application. This tool consists of an HC-SR04 sensor input and a DS3231 RTC timer. The output of this tool uses a servo motor to open and close the contents of the fish feed. Arduino IDE software is used in NodeMCU coding and the Blynk application is used to connect the smartphone and NodeMCU. Based on the results of testing carried out, the system success rate has an average of 95% success. Meanwhile, the average delay is 0.052367 milliseconds.]]>
<![CDATA[Implementasi Light Dependent Resistor (LDR) Pada Simulasi Permainan Gobak Sodor ]]>
<![CDATA[Rizky Eka Adinagoro]]>;
<![CDATA[Putra, Reza Aditya Angga]]>;
<![CDATA[Rahadian Bintang Pamungkas]]>;
<![CDATA[Satya Yoma Patria Risky]]>;
<![CDATA[Rudi Susanto]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i3.197
<![CDATA[Gobak sodor is a traditional Indonesian game. This article is compiled to relate to the application of detection tools in the simulation of the gobak sodor game. The goal is to produce a prototype of a tool that can help facilitate the detection process in the movement of the gobak sodor game. The method used is the RAD (Rapid Application Development) method which has stages, namely requirement planning, design workshop and implementation, data collection techniques, namely literature studies, and documentation. As a result of the implementation of this tool, it will be able to work automatically when there is a player who crosses the line will block the light reaching the LDR. The findings of this device, the existence of an alarm and lights turn on when there are players who cross the barrier line. This is because a change in resistance in the LDR triggers an alarm system or indicator light to detect movement. If the player's body hits the LDR sensor, then the device will sound.]]>
<![CDATA[Rancang Bangun Aplikasi E-Catalogue Buku Perpustakaan Berbasis Website di Yayasan Pusat Perguruan Fatahillah ]]>
<![CDATA[Dede Handayani]]>;
<![CDATA[Ahmad Haical Ramadhan]]>;
<![CDATA[Muhammad Fauzan]]>;
<![CDATA[Muhamad Rafly Rafsanzany]]>
<![CDATA[ Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika ]]>
Publisher : <![CDATA[Asosiasi Riset Teknik Elektro dan Informatika Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.61132/uranus.v2i3.199
<![CDATA[This research aims to design and build a website-based library book e-catalog application at the Fatahillah College Center Foundation. This application is designed to overcome the limitations of the manual system currently used by libraries, increase the efficiency of book information management, and make information access easier for users. The research methods used include descriptive methods, observation, interviews, and system development using the Waterfall model. The research results show that the e-catalog application can manage book, member, and loan transaction data effectively. It is hoped that implementing this application can support literacy activities and increase library operational efficiency.]]>
