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Komparasi dan Determinan Pembangunan Sumber Daya Manusia antara Kabupaten Kota di Sumatera Barat Fadli, Khairul; Aimon, Hasdi
Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan Vol 12, No 1 (2023): Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan (Mei 2023)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ecosains.12291257.00

Abstract

This study aims to analyze the comparison and determinants of human development between cities and districts in the Sumatera Barat. The source of the data was taken from the Indonesian Central Statistics Agency. This study used panel data with the time series data from 2010–2021 and the cross-section between cities and districts in Sumatera Barat. This study utilizes the Random Effect Model (REM) panel data regression analysis model to infer the determinant of human development. The results show that human development in the city is higher than in the district, with an average of 76.4 compared to the district with an average of 66.8. Economic growth is the main determinant of human development for both the city dan districts. Economic growth also has a positive and significant impact on human development in districts and cities. Furthermore, the population, the poor population, and the unemployment rate have no significant effect on human development. Based on this research findings, suggests the government of Sumatera Barat promotes a pro-poor and pro-employment growth strategy. The economic development in Sumatera Barat should also be more equitable between cities and districts.
Analisis Sentimen Tanggapan Masyarakat Terhadap Penutupan TikTok Shop Menggunakan Metode Naïve Bayes Fadli, Khairul; Hasan, Firman Noor
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6060

Abstract

E-commerce has become an important role in driving the economy, many business actors, especially MSMEs, depend on selling their products online. E-commerce continues to experience extraordinary growth, many breakthroughs have been made to improve its systems and services. One of them is social commerce which utilizes social interactions from social network users, for example TikTok Shop. However, the government changed regulations regarding social commerce which resulted in the closure of TikTok Shop operations in Indonesia, which many reactions and opinions from the public. Therefore this research was conducted with aim of analyzing public sentiment towards the closure of TikTok Shop. This research uses 1233 data taken and collected from social media X in the range September to December 2023. This research also uses the Naïve Bayes Classifier algorithm method with a training data to test data ratio of 80:20. This research resulted in accuracy of 90,24%, precision of 74,33%, and recall of 100%. The large number of negative sentiments in this sentiment analysis shows the public’s disappointment with the policy changes carried out by the government which resulted in the closure of TikTok Shop operations in Indonesia.