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All Journal Prosiding Seminar Nasional Official Statistics Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan
Teguh Sugiyarto
Badan Pusat Statistik
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Kesenjangan Pendidikan dan Determinannya di Indonesia Dwi Ari Suryawan. S; Teguh Sugiyarto
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.183 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1105

Abstract

Human capital investment is an effort to improve the quality of human capital, such as through education, training, medical care, and many else. In line with that, education achievement is a prominent indicator of human capital. This condition must be acknowledged and obtain adequate attention because education inequality also affects economic development indirectly, through its effect on economic efficiency. The purposes of this research is to classify inequality of education and what determines it. The methodology used in this research are descriptive and inferential analyzes. The Descriptive analyzes were used to see description or general pictures of education in Indonesia, also to classify inequality of education, using cluster of hierarchy. The inferential analyzes used in this research is binary logistic regression, the purpose is to inferences variables which significantly affect inequality of education in Indonesia. The results show that provinces in Indonesia classified into two categories based on inequality of education, the low education level and good education level, 17 provinces included into low education level and 17 provinces included to good education level, in percentage, it is 50% to 50% . It is also showed which variables significantly affect inequality of education statistically, like education expenditure and poverty in province’s level.
Analyzing Instagram Engagement to Forecast Domestic Tourist Trips in Lake Toba and North Sumatra: A Dual Approach with Conventional Statistics and Machine Learning Techniques Erna Nurmawati; Teguh Sugiyarto; Navika Artiari; Adelina Rahmawati
Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan Vol. 8 No. 2 (2024)
Publisher : Research and Community Service Center, Politeknik Pariwisata NHI Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34013/jk.v8i2.1619

Abstract

The tourism industry is well known as one booster for economic development. The advance of the tourism industry will lead to the improvement of other economic sectors. Therefore, the Indonesian government is taking steps to ensure the development of its tourism industry by launching 10 super-priority destinations (DSP). Despite numerous efforts and interventions, evidence suggests that the demand for the tourism industry in certain DSPs remains unsatisfied. This also holds true for Lake Toba in North Sumatra. Therefore, it is important to understand how to promote the destination site effectively and increase the number of domestic visitors. This study is aimed at assessing the impact of digital marketing through Instagram to determine the number of domestic tourist trips. The engagement rate (ER) on Instagram posts represents the impact of digital marketing. The result reveals that the topic 'cultural tourism and its activities that develop the economy' has the highest average ER, reaching 692.48. Further analysis reveals that the LSTM model, with independent variables TPK, GTI, and ER on the topic of 'ticket information and vacation packages', is the most effective model for predicting the number of domestic tourist trips to North Sumatra. This analysis emphasizes the crucial role of digital marketing to shape the demand for the tourism industry. The conclusion is based on the significant influence of the Google Trends Index (GTI) and ER on Instagram posts, which serve as a gauge for domestic visitor numbers. The related stakeholders must consider this aspect to sustain its business.
Co-Authors Adelina Rahmawati Dwi Ari Suryawan. S Erna Nurmawati Navika Artiari