Journal Of Data Science

Phonological Features in Indonesian Social Media Marketing Texts: A Natural Language Processing Approach

Fitrah Rumaisa — 2026-05-04

The expansion of social media platforms has significantly reshaped marketing communication strategies, particularly in countries with highly active digital audiences such as Indonesia. Among these platforms, TikTok has become a dominant channel for promotional messaging, where short textual captions play a crucial role in attracting user attention. Within this context, the phonological structure of language may influence how promotional messages are perceived, remembered, and shared. This study investigates the phonological characteristics of Indonesian marketing captions on social media using a Natural Language Processing (NLP) framework. A dataset consisting of user-generated promotional captions from TikTok was collected and processed through several stages, including text normalization, tokenization, and noise removal. The cleaned text was then transformed into phoneme sequences using a hybrid grapheme-to-phoneme (G2P) conversion approach. From these phoneme representations, several phonological features were extracted, including vowel–consonant ratios, syllable length distribution, phoneme entropy, and phonotactic surprisal. The analysis reveals several recurring sound patterns in Indonesian promotional language. In particular, captions tend to favor open syllable structures, vowel-rich word formations, and repetitive phoneme sequences that contribute to rhythmic flow and memorability. Words containing dominant vowels such as /a/ and /i/ appear frequently in marketing expressions, suggesting that phonological aesthetics may play a role in shaping audience engagement. Overall, the findings suggest that phonological structure is not merely a linguistic artifact but may also function as a subtle persuasive mechanism in digital marketing discourse. By combining computational phonology with marketing analysis, this study offers new insights into how sound patterns embedded in written promotional texts can influence communication effectiveness in the Indonesian social media landscape.

Analysis of Implementation Barriers and Gaps in the Adoption of Chip-Based (Cashless) E-Money in Non-Cash Payment Systems in Pontianak City

Sri Haryaningsih — 2025-05-12

Digital transformation in payment systems encourages the use of non-cash instruments, including chip-based e-money which has advantages in transaction speed and efficiency. However, its implementation at the regional level still faces various obstacles. This research aims to analyze implementation barriers and gaps in the adoption of chip-based e-money in Pontianak City. The method used is a quantitative approach with an explanatory research design. Data was collected through a questionnaire among people who use chip-based e-money and analyzed using SEM-PLS. The research results show that the factors perceived ease of use, benefits, security, trust, digital financial literacy, as well as infrastructure and policy support influence the adoption of chip-based e-money. Apart from that, it was found that there was a gap between the designed policies and the reality of implementation in the field. This research recommends strengthening digital literacy, improving infrastructure, and optimizing policies to encourage wider use of chip-based e-money.

Development of Digital-Based Job Training Methods at the Regional Library and Archives Service of West Java Province

Ika Hasillah — 2026-06-30

Digital transformation in the library sector demands increased human resource competency to provide effective, efficient, and adaptive public services to technological developments. However, the on-the-job training methods implemented at the West Java Provincial Library and Archives Service are still dominated by conventional approaches, thus not fully supporting the development of employee digital competencies. This study aims to analyze and develop a digital-based on-the-job training model that aligns with organizational needs and the demands of modern library services. The study employed a qualitative approach with descriptive methods. Data were collected through observation, literature review, and in-depth interviews with informants. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The results indicate that developing a digital-based on-the-job training method requires integrating on-the-job and off-the-job training methods with the use of digital technology through a Learning Management System (LMS), virtual service simulations, knowledge sharing, role-playing, simulations, professional forums, and strengthening cross-divisional coordination. The developed model can improve employee technical and managerial competencies, strengthen adaptability to digital transformation, and support improvements in the quality of library and archives services. This research also yielded three novelties: the Digital Competency Integration Method, the Workload-Based Local E-Learning Module Method, and the Train-of-Trainer (ToT) Method as a model for continuous competency development. These three methods are expected to enhance the professionalism of civil servants, accelerate digital transformation, and achieve excellent service at the West Java Provincial Library and Archives Service.

The Influence of Policy Implementation and Coordination on Achieving the Stunting Reduction Target in Cianjur Regency (Study in Campaka, Naringgul, and Tanggeung Districts)

Cepi Hanapia — 2026-06-30

This study aims to analyze the influence of policy implementation and coordination between stakeholders on achieving the stunting reduction target in Cianjur Regency, with a focus on Campaka, Naringgul, and Tanggeung Districts. The problem of stunting remains a strategic issue in health development, so effective policy implementation and optimal coordination between local governments, health workers, and other relevant parties are needed. This study uses a quantitative approach with a descriptive verification method. The results show that policy implementation and cross-sectoral coordination have generally been running well and have a very important role in achieving the stunting reduction target. Clarity of policy objectives, availability of resources, and the attitude and commitment of implementers are the main factors in successful implementation, while effective coordination through communication, division of labor, and unity of action can create synergy between sectors. Both partially and simultaneously, these two variables have been proven to have a significant and complementary influence in supporting the success of the program. However, target achievement has not been fully optimized due to ongoing obstacles such as limited access to services, socio-cultural factors, and the suboptimal integration and involvement of all stakeholders. Therefore, ongoing strengthening is needed to ensure the program runs more effectively and sustainably.

Precision Agriculture Technology: Accelerating Sustainable Food Security and Resource Efficiency

Yudi Garnida — 2026-07-02

The global agricultural sector currently faces significant challenges in the form of surging food demand amidst environmental degradation due to global climate change. This study aims to analyze the role of precision agriculture technology in accelerating the realization of sustainable food security while optimizing the efficiency of resource use (water, fertilizer, and land). The method used was a qualitative descriptive approach through a literature review of various national and international scientific articles, textbooks, and official reports from relevant agencies for the 2021–2026 period. The results show that the integration of a digital ecosystem based on the Internet of Things (IoT), automatic sensors, drones, and artificial intelligence (AI) can transform production patterns into data-driven farming, boosting crop productivity by 20–30%. Through a variable-dose application system, this technology has also successfully reduced irrigation water and chemical fertilizer use by 15–25%, minimizing negative ecological impacts. However, this massive potential is hampered by structural issues among local farmers, such as high initial capital requirements, fragmented land use, the demographic digital literacy gap, and fragile rural connectivity. This study concludes that democratizing precision agriculture requires inclusive public policy interventions through farmer corporation consolidation programs, smart fiscal stimulus, strengthening the upstream internet, and implementing the Agriculture-as-a-Service (AaaS) business model.