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Repeater: Publikasi Teknik Informatika dan Jaringan
Published by Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia
ISSN : 30467284     EISSN : 30467276     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
Repeater : Publikasi Teknik Informatika dan Jaringan berisikan naskah hasil penelitian di bidang Teknik Informatika dan Jaringan
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 22 Documents
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Search results for , issue "Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan" : 22 Documents clear
Sistem Penjualan LPG Berbasis Web Dengan Menggunakan E-KTP: Studi Kasus : BUM Desa Podho Joyo Sukorejo Moh. Rizal Bashori; Putri Aisyiyah Rakhma Devi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.117

Abstract

Web-based LPG gas sales system using E-KTP is an application designed to facilitate the process of selling LPG gas online by using E-KTP as a user identity verification tool. This system was built with the aim of increasing efficiency and security in the LPG gas sales transaction process. This system utilizes web technology to allow users to sell LPG gas online through a platform accessed through a web browser. Users will be required to upload a photo of their E-KTP as part of the identity verification process. After identity verification, users can place an order for LPG gas according to their needs. The system is also equipped with an LPG gas stock management feature, so that sellers can monitor their LPG gas stock in real-time and procure new LPG gas if the stock is running low. In addition, the system is also equipped with an LPG gas delivery tracking feature, so that users can track the status of their LPG gas shipments from the warehouse to the delivery location. With this web-based LPG gas sales system using E-KTP, it is expected to increase efficiency in the LPG gas sales process, as well as increase security in online transactions by using E-KTP as a means of verifying user identity.
Analisa Data Shopping Trends Menggunakan Algoritma Klasifikasi Dengan Metode Naive Bayes Andi Diah Kuswanto; Said Imam Puro; Jodi Hariyan; Ridho Rafliansyah; Muhammad Rival Aziz; Pebro Vaulina Rajagukguk
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.118

Abstract

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).
Klasifikasi Penyakit Daun Apel Menggunakan Ekstraksi Fitur Warna RGB Nurul Mudhofar; Soffiana Agustin
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.120

Abstract

This research designs a system to classify apple leaf diseases using RGB (red, green and blue) color feature extraction. The essence of this research is to design a system to recognize and determine disease on apple leaves based on RGB color features using the Matlab 2024 application. The data in this research uses apple leaf images from kaggle.com, which are then cropped and adjusted to the image shape and precision in the leaf image. , Increasing the contrast of the cropped image and converting it to a grayscale image, Determining the threshold for binarization and converting the grayscale image to a binary image, Detection of green, yellow, and black/gray pixels based on RGB values ​​and calculating the proportion of each color, Detection of pixels scab by filtering out black/grey pixels that do not include green or yellow pixels Classification of leaves based on the proportion of detected colors. With the method that has been passed and uses apple leaf data, namely Healthy, Rust and Scab, each data contains 20 images with a total of 60 images and the level of accuracy is determined using the labeling method for each data and reaches the final result with an accuracy level of 86, 6667% which has a fairly accurate meaning
Sistem Pendukung Keputusan Pemilihan Karyawan Baru di Communion Coffee Brewer Metode SMART Asmara Andhini; Muh Abdul Aziz Nasuha; Ika Ayu Pertiwi; Ahmad Wahyudi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.121

Abstract

Employee recruitment is a critical aspect of human resource management that significantly influences the success and sustainability of a company. Communion Coffee Brewer, a company in the food and beverage industry, faces challenges in effectively recruiting employees to ensure alignment with company needs and culture. To address this, the implementation of Decision Support System (DSS) using the SMART Methodology proves to be a relevant solution. This method allows for objective evaluation based on predefined criteria while streamlining the decision-making process. By integrating this technology, Communion Coffee Brewer can enhance efficiency and effectiveness in recruitment, support sustainable company growth, and strengthen its long-term operations.
Sistem Pendeteksi Penyakit Kanker Kulit Menggunakan Convolutional Neural Network Arsitektur YOLOv8 Berbasis Website Egga Naufal Daffa Tanadi; Dhian Satria Yudha Kartika; Abdul Rezha Efrat Najaf
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.124

Abstract

Skin cancer has high incidence and fatality rates, making accurate and rapid detection crucial. This study developed a web-based skin cancer detection system using YOLOv8. The model detects seven types of skin cancer using a dataset of 17.366 annotated images. Methods included data collection, pre-processing, augmentation, model training, and performance evaluation using precision, recall, and mean Average Precision (mAP). Results show that the YOLOv8 model achieved a precision of 0.975 and a recall of 0.969. Evaluation with a confusion matrix demonstrated strong detection capabilities. A web interface was developed to allow users to upload images and view detection results in real-time. The YOLOv8-based skin cancer detection system provides accurate results and can be used as a tool for early diagnosis.
Perancangan Multimedia Interaktif Pengenalan Alat Transportasi Untuk Taman Kanak-Kanak Anik Ismiwati; Bagus Maulana Syah; Refi Difa Arcelia; Riyan Abdul Aziz
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.136

Abstract

The education sector must utilize the latest technology in the classroom in the era of globalization and rapid advances in information technology. Using text, graphics, audio, and video together, interactive learning materials have been proven to increase student understanding and engagement. Kindergarten (TK) is a place where children are introduced to the environment and the basic principles of learning. Introducing children to various types of transportation is believed to be very important because it is the first step in helping them broaden their horizons and become familiar with the types of transportation in their environment. Apart from that, children are very interested in and liked transportation, so it must be packaged attractively so that it can arouse their curiosity in learning.
Perancangan Media Pembelajaran Pengenalan Hewan Laut Berbasis Multimedia Interaktif Latifah Nur Fitriana; Riyan Abdul Aziz
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.137

Abstract

Technology is developing so quickly that it may have a significant impact on the way teaching and learning are done. Interactive multimedia-based learning materials play an important role in the teaching and learning process. The availability of educational media can make teaching easier for teachers and increase students' learning motivation. This research focuses on designing multimedia-based interactive learning media for introducing marine animals. Researchers found the problem that the learning process at TK BA Aisyiyah Grogol 2 still uses the lecture method and does not use technology. This causes students' interest in learning to decrease. The method applied in designing this learning media is the ADDIE method. The result of this research is an interactive learning media design that uses multimedia. It is hoped that this learning media can increase students' interest in learning and the learning process will become easier and more effective.
Perancangan Media pembelajaran Interaktif Pengenalan Sistem Tata Surya Untuk Siswa Sekolah Dasar Shafa Yasinta Agustina; Riyan Abdul Aziz
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.138

Abstract

Technology is currently developing at a very fast pace. The teaching and learning process in the field of education is greatly impacted by the ever-improving technology advancements. In order to spark students' interest in studying, a lot of schools and teachers are currently utilizing technology tools like interactive learning media. In order to increase students' enthusiasm in learning, teachers' inventiveness is equally crucial. Learning media is a crucial component that may draw students in and aid in their pursuit of the best possible learning outcomes. Engaging media helps pupils comprehend the lessons that are being taught. Therefore, the goal of creating interactive learning materials to present the solar system to pupils is to enable them to view the actual things rather than only envision them.
Rancang Bangun Deteksi Bentuk Wajah Untuk Menentukan Gaya Rambut Menggunakan Algoritma CNN Mahardika Yoshi Putra
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.139

Abstract

In appearance, hair is an important aspect. In this modern era, hairstyles are becoming more and more varied. So, a lot of teenage men have trouble determining a suitable hairstyle. One factor in determining hairstyles is the shape of their faces. Often, teenagers don't match the haircut they've chosen. It can make you feel less confident and feel less in terms of appearance. Because it requires a system to recognize the shape of the face and determine the appropriate hairstyle. The most common method of grouping is the CNN method. In this study, the recommended hairstyles of male hair models and facial shapes detected are Oval, Box, Long Square, and Round. This study has accuracy with an average presentation of 85%.
Implementasi Item-Based Collaborative Filtering Untuk Rekomendasi Film Rayhan Rizal Mahendra; Fetty Tri Anggraeny; Henni Endah Wahanani
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.140

Abstract

Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the resulting model is able to provide recommendations with significant improvements in evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of 3.05 and 3.26. This shows that the smaller the value, the better.

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