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All Journal Syntax Jurnal Informatika Infotech Journal Journal of Information System IJCIT (Indonesian Journal on Computer and Information Technology) Journal of Information Technology and Computer Science (JOINTECS) Techno Nusa Mandiri : Journal of Computing and Information Technology RESEARCH : Computer, Information System & Technology Management INTECOMS: Journal of Information Technology and Computer Science JUTIM (Jurnal Teknik Informatika Musirawas) JURNAL PENDIDIKAN TAMBUSAI STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Systematics Jurnal Informatika dan Rekayasa Perangkat Lunak RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL Jurnal Teknologi Informatika dan Komputer Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Innovative: Journal Of Social Science Research SATIN - Sains dan Teknologi Informasi VISA: Journal of Vision and Ideas
Ultach Enri
Universitas Singaperbangsa Karawang
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : VISA: Journal of Vision and Ideas

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Analisis Sentimen pada Ekspedisi Kurir Online di Indonesia Menggunakan Algoritma Naive Bayes Heri Kurniawan; Moh. Aulia Miftakhurahmat; Ultach Enri
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.5140

Abstract

This journal focuses on sentiment analysis of four popular online courier expeditions in Indonesia, namely JNT, JNE, Shoope Express, and Anteraja. The purpose of this research is to understand the opinions and responses of users towards the online courier expedition service. The research was conducted using the sentiment analysis method, which utilizes data from user reviews contained in each online courier application on the Playstore platform. In this study, the Naive Bayes algorithm is used to perform sentiment analysis. This algorithm was chosen with the aim of producing higher accuracy results in determining positive and negative sentiments from user reviews. By using this method, this research hopes to provide a deeper understanding of the perceptions and experiences of users of the online courier service under study. The results of the study show that there are variations in user sentiment for each online courier expedition. User reviews include aspects of satisfaction with service, desired complaints, and problems that often arise when using the online courier application. These findings provide valuable insights for online courier service providers, as it can help them improve service quality and customer satisfaction. By understanding user opinions and feedback, online courier service providers can identify deficiencies in their services and make necessary improvements.
Co-Authors Adi Kurniawan Adi Santoso Agung Prabowo Amar Luthfi Azhari Ali Ridha Bayu Laksono Wahyu Arminsyah Betha Nurina Sari Chaerur Rozikin Dewi Septiani Dharma Ajie Nur Rois Dina Amelia Alzahra Dwinda Putri Nuria Elin Nurlia Farah Fadila Rahman Farid Farid Frise Anesha Lutia Hannie, Hannie Heni   Anggraeni Heri Kurniawan Heru Triana Hopi Siti Hopipah Istiningdias, Dini Sri Jaman, Jajam Haerul Kamal Prihandani Moh. Aulia Miftakhurahmat Muhammad Diki Hendriyanto Nina Sulistiyowati Nur Arifin Putri Dewi Wulandari Rifaldi Febrianto Riska Sagita Siti Indriyana Tasyifa Nafsiah Muthmainnah Tesa Nur Padilah Tia Adha Mariam Putri Tiara Destiana Yuyun Umaidah