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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 85 Documents
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Penggunaan Metode Rough Set untuk Menentukan Tingkat Kesiapan Siswa dalam Menghadapi ANBK di SMP Negeri 2 Kuala Harninda Br Keliat; Novriyenni Novriyenni; Tio Ria Pasaribu
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 3 (2025): 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.v3i3.619

Abstract

The Computer-Based National Assessment (ANBK) is an essential instrument designed to comprehensively measure student competence, including literacy, numeracy, and character aspects. However, in practice, many students still face various challenges during preparation, such as cognitive limitations, psychological readiness, and technical barriers, which affect their overall readiness to participate in ANBK. This study aims to analyze the readiness level of students at SMP Negeri 2 Kuala by employing the Rough Set method. The variables examined include digital literacy, subject matter understanding, psychological readiness, and school facility support. Data were collected from 250 ninth-grade students through structured questionnaires and subsequently processed using the Rosetta software to perform attribute reduction and generate decision rules. The findings indicate that digital literacy, subject matter understanding, and psychological readiness are the most influential variables in determining student readiness, while facility support serves only as a complementary factor. The extraction process generated seven decision rules with an accuracy level of 100%, which effectively classified students into three readiness categories: highly ready, ready, and less ready. These results confirm that the Rough Set method is highly effective for identifying dominant factors and producing decision rules that can guide schools in developing targeted strategies to enhance student readiness for ANBK.
Implementasi Sistem Penunjang Keputusan untuk Menentukan Trayek Terbaik Shuttle Daytrans Menggunakan Metode Weighted Product (WP) Berbasis Web Rafi Adli Rudianto; Khaerul Ma'mur
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober: 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.v3i4.636

Abstract

The development of information technology has accelerated digitization in various sectors, including in the decision-making process. In the DayTrans Shuttle service, the selection of the best route is still done manually using Microsoft Excel. This process is time-consuming, inefficient, and has the potential to cause errors and subjectivity. The purpose of this study is to design and develop a web-based decision support system by applying the Weighted Product (WP) method to determine the most optimal shuttle route objectively and efficiently. The research data was obtained through interviews, observations, and literature studies, then analyzed according to system requirements. The development was carried out through the stages of requirements analysis, database and interface design, implementation, and testing. The developed system is equipped with features for managing criteria data, alternative routes, weight calculations, and real-time presentation of recommendation results. The research results show that the system functions well, is able to speed up the route selection process, and produces accurate and transparent recommendations. Thus, this system is expected to improve DayTrans' operational efficiency while supporting the quality of inter-city transportation services.
Analisis Sentimen pada Ulasan Aplikasi JakLingko Menggunakan Metode Naïve Bayes Ricardus Mba Dala Pati; Eka Kusuma Pratama; Tuslaela Tuslaela
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober: 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.v3i4.638

Abstract

JakLingko is a digital-based public transportation integration system developed to facilitate access to various transportation modes in Jakarta. Along with the increasing number of users, reviews on the JakLingko application reflect user experiences and perceptions. This study aims to analyze the sentiment of user reviews on the Google Play Store using the Naïve Bayes method. Data collection was conducted through web scraping, resulting in 3,260 reviews. The data were preprocessed, sentiment-labeled, and classified using Orange Data Mining. The research applied a quantitative experimental approach with a machine learning framework. The classification results showed that neutral sentiment dominated user reviews, followed by negative and positive sentiments. The Naïve Bayes model achieved 100% accuracy based on the confusion matrix and other evaluation metrics such as precision, recall, and F1-score. The findings highlight that Naïve Bayes can be a reliable approach for analyzing public opinion and serve as a reference for evaluating and improving digital service applications.
Pengembangan Aplikasi Catatan Keuangan Untuk Usaha Mikro Kecil Menengah (UMKM) Berbasis Flutter Fafions Osama Effendy; Moh. Noor Al Azam; Rr. Prastoeti
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 2 (2025): April: 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.v3i2.416

Abstract

This paper aims to overcome the problem of manual financial recording that is still commonly used by MSMEs, which often causes data loss and inefficiency in financial management. To answer this challenge, researchers developed a mobile-based financial recording application using Flutter and a number of available supporting packages. This application is designed to be able to record and store income and expenditure data directly on the user's mobile device, making it easier for MSMEs to monitor their financial condition in real time. The development was carried out using a waterfall model approach, which includes the stages of analysis, design, implementation, and testing. To test the functional performance of the application, the Black Box testing method is used to assess the accuracy and reliability of the features without looking at the internal code structure. The test results show that all features can function as they should and the application is considered effective in supporting digital MSME financial recording.
Analisis Penerapan Business Intelligence dan Knowledge Management dalam Strategi Retensi Pelanggan pada Platform Streaming Netflix Indonesia Anggi Ismiyanti; Diana Puspita Sari; Nauroh Nazhiifah; Tata Sutabri
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 4 (2025): Oktober: 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.v3i4.666

Abstract

The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.

Page 9 of 9 | Total Record : 85

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