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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 44 Documents
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Pemanfaatan Parafrase Berbasis Artificial Intelligence Sebagai Salah Satu Teknologi Digital Untuk Meningkatkan Efisiensi Penyelesaian Tugas Mahasiswa di Surabaya Reza Putri Angga; Kanessa Jasmine; Sharleen Agustine; Muhammad Aryasatya; Natalia Desy Anggraini
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.v2i3.88

Abstract

Utilization of Artificial Intelligence-Based Paraphrasing Improves Efficiency of Student Assignment Completion in Surabaya. In this era of over-evolving technology, artificial intelligence technology (AI) has made significant contributions in various fields, including education. One potential implemantation of artificial intelligence technology is an automated AI-based online paraphrasing tool in education 4.0 era. This research aims to examine the effectiveness of using AI-based online paraphrasing in improving the efficiency of student assigntment completion in Surabaya. The research metodolgy involved a survey with student from various universities in Surabaya with a descriptive approach technique. The results show that the use of AI-based online paraphrasing tools can significantlu reduce the time needed to complete assignments without reducing the quality of the content. This tools helps students to understand the material, develop writing skills, and avoid plagiarism. This research result is expected to encourage the use of digital technology in the learning process, which is expected to improve academic productivity. Thus, AI-based online paraphrasing tools can be part of a more modern and effective learning strategy.
Deteksi Tepi Sederhana Pada Citra Menggunakan Operator Sobel Supiyandi Supiyandi; Trisatin Panggabean; Nuzul Ramadhan; Sri Ratna Dewi; Salsabila Yusra
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.v2i3.90

Abstract

implemented and evaluated the edge detection method using the Sobel Operator, which calculates the gradient of image intensity through two convoluted kernels for horizontal (Gx) and vertical directions. (Gy). The magnitudo gradient is obtained from the combination of both such directional gradients to represent the edge force on each pixel. The main steps include image pre-processing, the application of the Sobel kernel, the calculation of magnitudo gradients, and the filtering of results to extract significant edges. The results show that the Sobel Operator is effective in highlighting intensity differences that indicate the boundary of the object, although it is sensitive to noise and less accurate for fine edges. Despite its limitations, this method is simple to implement and useful as an initial step in image processing applications such as segmentation, pattern identification, and object shape analysis.
Simulasi Monte Carlo Dalam Prediksi Penjualan Pempers Makuku 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.v2i3.103

Abstract

Predicting sales is an important aspect in sales development. Sales prediction simulation is an estimated calculation of the level of product sales in a certain period. Sales of pempers tend to fluctuate due to the choice of many brands available, resulting in sales having a little difficulty in estimating sales of MAKUKU diaper products at Greens Mart stores. This research aims to predict sales Pempers products. This research uses several stages of identifying problems, determining research objectives, collecting data, data collected or obtained from interviews with salespeople, managing data using Monte Carlo stages, implementing/testing data and testing results to see the accuracy of the method used. The analysis results show that Comfit M and Comfit L have almost the same level of accuracy, namely Comfit M is around 90.63% and sales of Comfit L are 90.48%. These values ​​provide an indication of the level of accuracy of the sales predictions made.
Perancangan Sistem Pelaporan Incident Hack Di Kominfo Lombok Tengah Menggunakan Agile Pendekatan Scrum Gunawan Efendi; Lalu Mutawalli; Jihadul Akbar
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.v2i3.104

Abstract

The Scrum method is a methodology included in agile software development. Scrum is considered to be able to produce good quality software according to user wishes, can be used in large and small projects, and is easy to adopt changes. The scrum activity stages include product backlog, sprint backlog, daily scrum, sprint review, and sprint retrospective. Roles in Scrum include product owner, scrum master, and development team. Scrum has structured and iterative stages, so that if the product in the first sprint is not sufficient to meet needs, then in the next sprint a system can be developed that is in accordance with user evaluation. The results obtained from Designing a Hack Incident Reporting System at Kominfo Central Lombok Using the Agile Scrum Approach were proven to be able to overcome changes in requirements during the system development phase, producing products that met the wishes of users because they received repeated reviews.
Pengujian Usabilitas Pada Penggunaan Platform Scratch Zakia Access Asmaul Khusna; Yovi Litanianda
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.v2i3.107

Abstract

This research tests the usability of the platform on new students of Informatics Engineering. Usability of is measured through three main variables: effectiveness, efficiency, and user satisfaction. Data was collected through pre-test and post-test involving 20 respondents using questionnaires and practical tasks. 20 respondents using questionnaires and practical tasks. The results of the study showed that the effectiveness and efficiency of the Scratch platform increased significantly from the pre-test to the post-test, reaching a level of effectiveness and efficiency, showing that the time required to complete programming tasks is reduced once users are familiar with the platform. User satisfaction also increased, with the majority of respondents feeling more comfortable and interested in using Scratch after testing. This research concludes that the Scratch platform is effective and efficient as a programming learning tool for new Informatics Engineering students.
Evaluasi User Experience EduSmart Menggunakan System Usability Scale (SUS) Amanda Zulfi Kurnia Tsani
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.v2i3.113

Abstract

Utilizing the System Usability Scale (SUS) method, the goal of this study is to understand the challenges faced by eduSMart users. Edusmart is an online learning platform. A survey consisting of several questions is conducted using the SUS method to improve the quality of work, efficiency, and ease of use. This study indicates that the user's SUS score indicates the use of tinggi. In the end, the platform needs to be improved to increase its capacity. The study's findings indicate how users should use the Edusmart platform and provide helpful advice for improving users' efficiency and enjoyment. The research findings can be used as a reference for future studies that assess the value of digital learning systems.
Penerapan K-Means Clustering Untuk Menentukan Jumlah Pengangguran Berdasarkan Umur : Studi Kasus Di Badan Statistik Provinsi DKI Jakarta 2020-2022 Andi Diah Kuswanto; Azumardi Nabil Fadhila; Paulus Tri Setiawan; Muhammad Kevin Setiawan; Dody Renal Syahputra
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.v2i3.116

Abstract

Unemployment is a persistent problem in the labor market, thus hampering economic development and national prosperity. Indonesia, including its capital Jakarta, continues to face significant levels of unemployment compared to neighboring countries. This research focuses on analyzing the structure of unemployment in Jakarta using K-Means Clustering to categorize unemployment data based on age groups (2020-2022) sourced from the Central Statistics Agency. Analysis carried out via RapidMiner revealed three clusters:-Cluster 0: Age 30-60 years and above, Cluster 1: Age 20-24 years, Cluster 2: Age 15-19 and 25-29 years. The findings show that the 20-24 year age group has the highest unemployment rate (399,167 people), while the 30-60 year and above age group shows the lowest unemployment rate (75,560 people). This clustering approach provides insight into the distribution of unemployment by different age demographics in Jakarta, highlighting areas where targeted interventions may be needed to effectively address this socio-economic challenge
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

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