Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Manajemen Kesatuan East Asian Journal of Multidisciplinary Research (EAJMR) Asian Journal of Management Analytics Proceeding Of International Conference On Education, Society And Humanity
Daulay, Muhamad Toyib
Unknown Affiliation
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Ilmiah Manajemen Kesatuan

 1 
Sentiment Analysis of Community Perceptions on Coastal HRM Practices in Blue Economy Initiatives: An NLP-Based Study Daulay, Muhamad Toyib
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.4009

Abstract

Indonesia’s vast coastline and reliance on maritime sectors highlight the urgency of sustainable coastal management. Within this context, Human Resource Management (HRM) plays a crucial role in ensuring community participation and support for blue economy initiatives. This study examines community perceptions toward coastal HRM practices within blue economy initiatives in North Sumatra Province, Indonesia, using advanced natural language processing techniques. This study analyzes 4,399 text samples from community surveys, public forums, and stakeholder interviews using RoBERTa, BERT, and LSTM models to identify sentiment patterns surrounding coastal management strategies. Results show a balanced sentiment distribution: 34.7% positive, 28.9% neutral, and 36.4% negative responses. Temporal analysis reveals sentiment evolution from initial skepticism (-0.23) through consultation improvements (+0.15) to cautious optimism (+0.31) following early project benefits. Key findings indicate that while communities show potential for supporting blue economy initiatives, successful implementation requires addressing concerns about economic displacement, cultural disruption, and inadequate compensation. The study contributes a scalable NLP framework for continuous community sentiment monitoring in coastal management contexts.
Co-Authors Putri, Indry Febrianti RITONGA, HUSNI MUHARRAM Riwanda, Febby Sanny, Annisa Sari, Wahyu Indah