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Muhammad Wali
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International Journal of Management Science and Information Technology (IJMSIT)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27767388     EISSN : 27745694     DOI : https://doi.org/10.35870/ijmsit
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
The development of science related to good technology, information, and communication, both theoretically and empirically has proven to have a positive impact on various aspects of people lives. The development of the science of Information and Communication Technology provides many benefits to increase the effectiveness and efficiency in various activities in various fields of science.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 692 Documents
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Customer Review Sentiment Classification of Belikopi Products Using the Support Vector Machine (SVM) Method Avin Nuzula Fitranti; R. Rhoedy Setiawan; Yudie Irawan
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8067

Abstract

The rapid development of information technology and the widespread use of social media have significantly changed the way customers express their opinions and experiences regarding products and services. Platforms such as Instagram, TikTok, and Google Maps have become important sources of customer feedback that can be analyzed to understand public perception and customer satisfaction. Sentiment analysis is one of the text mining techniques that can automatically classify opinions into positive, neutral, and negative sentiments, enabling businesses to make informed decisions based on customer feedback. This study aims to analyze customer sentiment toward Belikopi products using the Support Vector Machine (SVM) classification algorithm. A total of 4,636 customer reviews and comments were collected from Instagram, TikTok, and Google Maps and manually labeled into three sentiment categories: positive, neutral, and negative. Before the classification process, the dataset underwent several preprocessing stages, including case folding, cleaning, tokenizing, stopword removal, and stemming to improve the quality of textual data. Furthermore, the Term Frequency–Inverse Document Frequency (TF-IDF) method was employed to convert text into numerical feature vectors suitable for machine learning classification. The dataset was divided into 80% training data and 20% testing data using a stratified sampling approach to maintain the distribution of sentiment classes. The experimental results showed that the SVM model achieved an accuracy of 93.34%, demonstrating its capability to classify customer sentiment with high performance. The findings indicate that the proposed approach is effective in identifying customer perceptions of Belikopi products and can provide valuable insights for evaluating customer satisfaction, improving product quality, and supporting strategic business decision-making.
Integration Model of Green Property and Digital Marketing in Business Development Strategies for Land Plotting in Bali Province Theodorus Hadrianus Gabriel Asy; Yulianto Umar Rofi’i
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.7995

Abstract

This research seeks to analyze the synergy between Green Property principles and Digital Marketing strategies in the development of land plotting in Bali. As climate change poses significant challenges and public awareness of environmental issues grows, property developers must embrace environmentally responsible practices. Employing a quantitative methodology, data was gathered from property stakeholders throughout various regions in Bali via surveys. The findings reveal that adopting eco-friendly technologies, such as renewable energy and sustainable building materials, significantly enhances the appeal of land plotting products to consumers. Furthermore, effective Digital Marketing strategies, including the use of social media and captivating visual content, are vital for establishing brand identity and improving product visibility in a competitive landscape. Although developers face obstacles related to digital skills and marketing comprehension, this study uncovers opportunities for a cohesive integration of both approaches. Recommendations emphasize the necessity for developers to invest in digital skills training and foster collaborations to create more impactful marketing strategies. By embracing Green Property principles alongside Digital Marketing, developers can solidify their market position while actively contributing to environmental sustainability in Bali.

Page 70 of 70 | Total Record : 692

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