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All Journal Indonesian Journal of Data and Science Jurnal Krisnadana
Ayu Gede Willdahlia
Institut Bisnis dan Teknologi Indonesia, Denpasar, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics

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Public Response on X to the Revocation of Indonesia’s 3-Kg LPG Retail Ban: A Support Vector Machine Study Ni Nyoman Asti Sri Wahyuni; I Gede Iwan Sudipa; Ni Nyoman Ayu J. Sastaparamitha; Ayu Gede Willdahlia; I Gusti Ayu Agung Mas Aristamy
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.349

Abstract

This study examines public responses on X to the 3-Kg LPG retail ban implemented on February 1, 2025, and revoked on February 4, 2025, which caused widespread shortages, long queues, and limited access, particularly for citizens living far from official distribution points. A total of 2,524 Indonesian-language tweets were collected via crawling and systematically processed through text cleaning, tokenization, normalization, stopwords removal, and stemming, followed by automatic labeling using the Indonesian Sentiment (InSet) Lexicon. After removing 229 neutral tweets, 1,405 tweets (61.2%) were classified as negative and 890 tweets (38.8%) as positive, with the study focusing on these two sentiment classes. Text features were extracted using TF-IDF, and classification was conducted using a linear-kernel Support Vector Machine (C = 0.1) with an 80:20 train-test split. The model achieved an overall accuracy of 84%, with precision, recall, and F1-score of 0.82, 0.94, and 0.88 for the negative class, and 0.87, 0.68, and 0.76 for the positive class. Results indicate that negative sentiment was dominated by criticism related to LPG shortages and insufficient policy communication, while positive sentiment reflected user relief over restored supply and hopes for fairer distribution in the future. These findings suggest that revoking the ban did not fully restore public perception, highlighting the necessity for more effective policy dissemination and stricter monitoring of 3-Kg LPG distribution. The study also emphasizes the importance of leveraging social media, particularly X, as a real-time source for monitoring public opinion and evaluating the effectiveness of energy distribution policies in Indonesia.
Prioritizing Human Resource Competency Development and Financial Management in MSMEs Using the Analytic Hierarchy Process (AHP) Ayu Gede Willdahlia; Ni Made Sudianti; Eko Maisusanto; Ni Made Astini Rahayu
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/at28bd26

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting economic growth and employment, particularly in developing countries such as Indonesia. Despite their significant contribution to the national economy, many MSMEs still face internal challenges related to human resource competencies and financial management. These limitations often hinder business sustainability and competitiveness. Therefore, determining priority development strategies is essential to optimize the limited resources available to MSME actors.This study aims to analyze the priority factors for MSME development through human resource competency and financial management using the Analytic Hierarchy Process (AHP) method. The research was conducted in Denpasar City, Bali, involving 17 respondents consisting of MSME owners, academics, business consultants, and financial practitioners selected through purposive sampling. Data were collected using pairwise comparison questionnaires based on Saaty’s scale and analyzed through AHP procedures, including hierarchy structuring, pairwise comparison matrix construction, normalization, priority weight calculation, and consistency testing.The results show that human resource competency is the most important factor in MSME development compared to financial management. Among the human resource sub-criteria, digital literacy has the highest priority, followed by training, experience, and education. Meanwhile, in financial management, financial recording is identified as the most important sub-criterion, followed by budgeting, cost control, and financial planning. These findings indicate that strengthening digital competencies and improving systematic financial recording practices are key priorities for enhancing MSME performance and sustainability.This research provides practical implications for MSME development programs by emphasizing the importance of targeted training and financial management improvements. The results can serve as a reference for policymakers, practitioners, and MSME actors in designing more effective strategies to support sustainable MSME growth.
The Use of Artificial Intelligence-Based Learning Tools to Enhance Students’ Employment Readiness in the Digital Age Ayu Gede Willdahlia; Desak Made Dwi Utami Putra; Aniek Suryanti Kusuma; Ni Kadek Nita Noviani Pande
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/ttjd4r39

Abstract

This study examines the utilization of Artificial Intelligence (AI)-based learning tools, such as ChatGPT, Grammarly, and Quillbot, in improving student employability in the digital era. The rapid development of technology has brought significant transformation to the education sector, where graduates are now required to possess a broader range of skills beyond academic knowledge, including critical thinking, communication, collaboration, and digital literacy. This research addresses the existing gap between the use of AI as a technical aid and its potential to systematically develop these essential competencies. A quantitative research approach was employed with a purposive sample of 150 active students from the Indonesian Business and Technology Institute (INSTIKI) who actively use AI tools in their academic activities. Data was collected via a Likert-scale online questionnaire and analyzed using descriptive and inferential statistics, including correlation and simple linear regression. The findings indicate that students frequently use AI tools and perceive them as beneficial to their learning process. Overall, the analysis reveals that the use of these AI tools has a positive correlation with students’ employability. The strategic integration of AI serves as a catalyst for fostering skills highly relevant to the demands of the modern job market, particularly in digital literacy, critical thinking, and collaboration. The study concludes that AI is not merely a technical tool, but a strategic partner in holistically preparing students for future professional challenges.
Co-Authors Aniek Suryanti Kusuma Desak Made Dwi Utami Putra Eko Maisusanto I Gede Iwan Sudipa I Gusti Ayu Agung Mas Aristamy Ni Kadek Nita Noviani Pande Ni Made Astini Rahayu Ni Made Sudianti Ni Nyoman Asti Sri Wahyuni Ni Nyoman Ayu J. Sastaparamitha