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All Journal Indonesian Journal of Data and Science JISTECH: Journal of Information Science and Technology
Josua Josen A. Limbong
Universitas Papua
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Sentiment Classification and Influential Actor Detection on Twitter (Case Study: The Raja Ampat Mining Conflict) Micguel Arter Imbiri; Lorna Yertas Baisa; Josua Josen A. Limbong
Indonesian Journal of Data and Science Vol. 7 No. 1 (2026): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v7i1.376

Abstract

The nickel mining conflict in Raja Ampat has attracted extensive public attention due to the region’s global ecological significance and the potential environmental risks posed by extractive activities. Social media platforms, particularly Twitter, have become important spaces for public discussion and opinion exchange regarding this issue. This study aims to analyze public sentiment and identify influential actors in online discussions of the Raja Ampat mining conflict by integrating sentiment analysis and Social Network Analysis (SNA). This study adopts a cross-sectional design using Indonesian-language tweets collected between 15-27 November 2025. A total of 11,671 tweets were obtained through keyword-based crawling, and after preprocessing and duplicate removal, 8,909 tweets were retained for analysis. Sentiment labeling was performed using a lexicon-based approach, categorizing tweets into positive, neutral, and negative classes. The dataset was divided using an 80:20 train–test split. Sentiment classification was conducted using Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naive Bayes algorithms. Model performance was evaluated using confusion matrix–based metrics, including accuracy, precision, recall, and F1-score. Social Network Analysis was carried out by constructing a directed interaction network based on mentions, replies, and retweets, with influential actors identified using degree and betweenness centrality measures. The results indicate that neutral sentiment dominates the discourse (51.58%), followed by negative and positive sentiments. SVM and Naive Bayes demonstrate more stable classification performance than KNN, while network analysis shows that influence is concentrated among a limited number of central actors
Evaluasi Usability Aplikasi Absensi Digital Pada Badan Pusat Statistik Kabupaten Manokwari Menggunakan Metode System Usability Scale: Evaluasi Usability Aplikasi Absensi Digital Pada Badan Pusat Statistik Kabupaten Manokwari Menggunakan Metode System Usability Scale Josua Josen A. Limbong; Duta Rael Bintang Pratama
JISTECH: Journal of Information Science and Technology Vol 14 No 1 (2025): Volume 14 Nomor 1 Tahun 2025
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v14i1.704

Abstract

The development of information technology has encouraged the digitization of employee attendance systems, including at the Central Bureau of Statistics (BPS) Manokwari which implements a fingerprint-based digital attendance application. Although it aims to improve the efficiency and accuracy of attendance recording, this application still faces various obstacles, such as dependence on internet connection, less than optimal interface display, and compatibility issues with user devices. This study aims to evaluate the usability level of the BPS Manokwari digital attendance application using the System Usability Scale (SUS) method. This method is used to measure aspects of learnability, efficiency, memorability, errors, and satisfaction based on user experience. This study involved 35 respondents who were permanent employees of BPS Manokwari. Data was collected through SUS questionnaire, then analyzed using SPSS software. The evaluation results show that the digital attendance application obtained a score of 68.42 in SUS, which falls into the Marginal High category. Although this application has functioned to meet the needs of employees, there is still significant room for improvement to achieve higher usability quality, especially in the aspects of ease of use and interface appearance. Based on the results of the analysis, this research provides recommendations for improvement to increase efficiency and user comfort in accessing the application
Co-Authors Duta Rael Bintang Pratama Lorna Yertas Baisa Micguel Arter Imbiri