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All Journal Jurnal Pengabdian UntukMu NegeRI Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro JITK (Jurnal Ilmu Pengetahuan dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research Jurnal AbdiMas Nusa Mandiri JPM: JURNAL PENGABDIAN MASYARAKAT Abditeknika - Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Kreatif Cemerlang Indonesia Vertex Repeater: Publikasi Teknik Informatika dan Jaringan
Tuslaela
Universitas Nusa Mandiri
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Implementation of the Topsis Method in Determining Online Shopping Options in the Marketplace Tuslaela, Tuslaela; Alawiah, Enok Tuti; Apriyani, Helina
Vertex Vol. 14 No. 2 (2025): June: Computer Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ckpd8y89

Abstract

The development of information technology changes the way customers view shopping. Currently, customers are more likely to make online shopping transactions through the marketplace. Significantly increased internet penetration, ease of transactions, seller reputation, speed of service, ease of access are factors that support customers in making shopping transactions in the marketplace. However, customers need to decide wisely before making a shopping transaction so that the products obtained are in accordance with expectations. This study uses the TOPSIS method, a method in the decision-making process to choose an ideal solution based on the criteria offered. The results of the study obtained a result of 0.85 for product reviews as an alternative preference in shopping online through the marketplace.
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.
Co-Authors Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Khadafi Al Hakim, Imam Taftazani Anneke Indra Kirana Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti D. Desmira Dannys Permadi Dinda Juliana Ega Maulana Ditama Eka Kusuma Pratama Elok Nur Aeni Embun Fajar Wati Enok Tuti Alawiah Ernawati, Siti Faqih Muhammad Farhan Rahmadhani Helina Apriyani Ihsanurrijal Muwahid Indah Purnamasari Indah Purnamasari INDAH PURNAMASARI Ishak Kholil Ishak Kholil Istikharoh, Istikharoh Kadafi, Abdul Rahman Laila Septiana Nazarius, Jerry Kristian Ricardus Mba Dala Pati Rusdiansyah , Rusdiansyah Rusdiansyah Rusdiansyah Santoso Setiawan Siti Ernawati - STMIK Nusa Mandiri Sri Rusiyati Sri Rusiyati Suharyanti , Nining suharyanti, Nining Supendar , Hendra Syahreva, Hafiz Tati Mardiana Tati Mardiana, Tati Yopi Handrianto, Yopi Yoseph Adrianus Ino Yumi Novita Dewi Yunan Maulana Putra