Tourism has the potential to be developed into a leading sector in Belitung Regency. The development of tourism is indicated by the increasing number of tourists, both domestic and foreign tourists from 2015 to 2018 by 85.9% over 4 years. This research aims to determine the gap between the level of satisfaction and the importance of supporting components of tourism to tourists who visited tourist destinations in Belitung Regency. This research was quantitative research using Importance Performance Analysis. Primary data obtained by interview through the Likert scale questions. The subjects in this research were 400 domestic tourists and 400 foreign tourists. The subjects were selected using Slovin's Formula sampling techniques. Tourism support components consisting of prices, physical facilities (infrastructures), and guarantees (services) were used to determine tourist perceptions about the level of satisfaction and importance. The results of the research showed that domestic tourists were dissatisfied with component 1) guarantees (services) consisting of cultural attractions, public communication and services officers, as well as 2) physical facilities (infrastructures) consisting of souvenir galleries, toilets, environmental cleanliness, restaurant cleanliness, and safety facilities. While foreign tourists have a low level of satisfaction with the service of the officers and the public in terms of communicating in foreign languages, cultural attractions, and environmental cleanliness.
Local Government expenditure is budgeting for all government needs and activities and managed under the authority of provinces, regencies, and municipalities through their respective regional heads. Well-targeted Local Government expenditure optimization has a significant impact on the regional economy. This research aims to determine poverty reduction in regencies/municipalities in South Sumatra Province, Indonesia, by examining the variable's impact of social assistance expenditure, capital expenditure, and local revenue on poverty. The data used are primary and secondary data obtained from 15 regencies/municipalities in South Sumatra Province during the 2010-2018 periods. The analysis technique uses in this research were Poverty Mapping with Klassen Typology and Multiple Linear Regression (MLR). Using the Klassen typology for poverty mapping in South Sumatra Province obtained four regional classifications (quadrant) based on poverty and economic growth: quadrant I (developed and fast-growing region), quadrant II (developed but depressed region), quadrant III (developing region), and quadrant IV (less developed region). The Klassen typology classification results: quadrant I include Palembang City, quadrant II includes Musi Banyuasin Regency, Muara Enim Regency, Ogan Komering Ilir Regency, and Banyuasin Regency. Quadrant III includes Ogan Komering Ulu Regency, Prabumulih City, and Lubuk Linggau City. Also, quadrant IV includes Lahat Regency, Musi Rawas Regency, Ogan Ilir Regency, Ogan Komering Ulu Timur Regency, Ogan Komering Ulu Selatan Regency, Empat Lawang Regency, and Pagar Alam City. The t-test regression results showed that Social assistance expenditure and local revenue affect poverty reduction, while capital expenditure does not significantly affect poverty reduction. The F-test regression results showed that poverty reduction was affected simultaneously by social assistance expenditure, capital expenditure, and local revenue. Policies in social assistance expenditure and capital expenditure were not well-targeted. The policies expected to reduce poverty are to provide well-targeted social assistance expenditure and capital expenditure.
The purpose of this study was to determine and analyze the development of bank credit distribution in the MSME sector in Sumatra Region. This study uses secondary data for the 2016-2018 period from the publication of Bank Indonesia and the Central Statistics Agency. The data analysis used was comparative analysis. Comparative analysis is a quantitative analysis carried out by comparing the similarities and differences based on the data and the properties of the objects discussed in a certain period. The results showed that the highest MSME sector bank lending was in North Sumatra Province, while the lowest bank credit distribution was in the MSME sector in the Sumatra Region in the Bangka Belitung Islands Province. The government needs to develop and improve credit for MSME players, so that MSMEs in Indonesia, especially in the Sumatra region, can compete and be innovative in following the development of the business world. Well-channeled UMKM credit will result in a better development of the business world because of the ease of access to capital.
Local Government expenditure is budgeting for all government needs and activities and managed under the authority of provinces, regencies, and municipalities through their respective regional heads. Well-targeted Local Government expenditure optimization has a significant impact on the regional economy. This research aims to determine poverty reduction in regencies/municipalities in South Sumatra Province, Indonesia, by examining the variable's impact of social assistance expenditure, capital expenditure, and local revenue on poverty. The data used are primary and secondary data obtained from 15 regencies/municipalities in South Sumatra Province during the 2010-2018 periods. The analysis technique uses in this research were Poverty Mapping with Klassen Typology and Multiple Linear Regression (MLR). Using the Klassen typology for poverty mapping in South Sumatra Province obtained four regional classifications (quadrant) based on poverty and economic growth: quadrant I (developed and fast-growing region), quadrant II (developed but depressed region), quadrant III (developing region), and quadrant IV (less developed region). The Klassen typology classification results: quadrant I include Palembang City, quadrant II includes Musi Banyuasin Regency, Muara Enim Regency, Ogan Komering Ilir Regency, and Banyuasin Regency. Quadrant III includes Ogan Komering Ulu Regency, Prabumulih City, and Lubuk Linggau City. Also, quadrant IV includes Lahat Regency, Musi Rawas Regency, Ogan Ilir Regency, Ogan Komering Ulu Timur Regency, Ogan Komering Ulu Selatan Regency, Empat Lawang Regency, and Pagar Alam City. The t-test regression results showed that Social assistance expenditure and local revenue affect poverty reduction, while capital expenditure does not significantly affect poverty reduction. The F-test regression results showed that poverty reduction was affected simultaneously by social assistance expenditure, capital expenditure, and local revenue. Policies in social assistance expenditure and capital expenditure were not well-targeted. The policies expected to reduce poverty are to provide well-targeted social assistance expenditure and capital expenditure. ; Belanja Daerah adalah penganggaran untuk semua kebutuhan dan kegiatan pemerintahan dan dikelola di bawah kewenangan provinsi, kabupaten, dan kota melalui kepala daerahnya masing-masing. Optimalisasi Belanja Daerah yang tepat sasaran berdampak signifikan terhadap perekonomian daerah. Penelitian ini bertujuan untuk mengetahui reduksi kemiskinan di kabupaten/kota di Provinsi Sumatera Selatan, Indonesia, dengan menguji pengaruh variabel Belanja Bantuan Sosial, Belanja Modal, dan Pendapatan Asli Daerah (PAD) terhadap kemiskinan. Data yang digunakan adalah data primer dan sekunder yang diperoleh dari 15 kabupaten/kota di Provinsi Sumatera Selatan selama periode 2010-2018. Teknik analisis yang digunakan dalam penelitian ini adalah Pemetaan Kemiskinan (Poverty Mapping) dengan Tipologi Klassen dan Regresi Linier Berganda. Dengan menggunakan Tipologi Klassen untuk pemetaan kemiskinan di Provinsi Sumatera Selatan diperoleh empat klasifikasi wilayah (kuadran) berdasarkan kemiskinan dan pertumbuhan ekonomi: kuadran I (daerah maju dan bertumbuh cepat), kuadran II (daerah maju tetapi tertekan), kuadran III (daerah sedang bertumbuh), dan kuadran IV (daerah relatif tertinggal). Hasil klasifikasi Tipologi Klassen: kuadran I meliputi Kota Palembang, kuadran II meliputi Kabupaten Musi Banyuasin, Kabupaten Muara Enim, Kabupaten Ogan Komering Ilir, dan Kabupaten Banyuasin. Kuadran III meliputi Kabupaten Ogan Komering Ulu, Kota Prabumulih, dan Kota Lubuk Linggau. Sedangkan kuadran IV meliputi Kabupaten Lahat, Kabupaten Musi Rawas, Kabupaten Ogan Ilir, Kabupaten Ogan Komering Ulu Timur, Kabupaten Ogan Komering Ulu Selatan, Kabupaten Empat Lawang, dan Kota Pagar Alam. Hasil regresi uji-t menunjukkan bahwa Belanja Bantuan Sosial dan Pendapatan Asli Daerah (PAD) berpengaruh terhadap reduksi kemiskinan, sedangkan Belanja Modal tidak berpengaruh signifikan terhadap reduksi kemiskinan. Hasil regresi uji-F menunjukkan bahwa reduksi kemiskinan dipengaruhi secara simultan oleh Belanja Bantuan Sosial, Belanja Modal, dan Pendapatan Asli Daerah (PAD). Kebijakan Belanja Bantuan Sosial dan Belanja Modal kurang tepat sasaran. Kebijakan yang diharapkan dapat mereduksi kemiskinan adalah dengan memberikan Belanja Bantuan Sosial dan Belanja Modal yang tepat sasaran.
Capital consists of human capital, social capital, natural capital, physical capital, and financial capital, but this study will only discuss human and social capital. This study aimed to analyze the relationship between human and social capital in achieving prosperity through the level of wages and income, especially for workers in the Small and Medium Enterprises sector in Palembang City. Respondents in this research were 400 workers in the Small and Medium Enterprises sector in Palembang, in the Sub-districts of Sukarami, Ilir Barat I, Kalidoni, Seberang Ulu I and Seberang Ulu II. The method used is descriptive qualitative in path analysis, with primary data in interview questionnaires. The results showed that workers' drinking and maximum income ranged from Rp500,000 to Rp7,500,000, with an average of Rp1,903,041. The results of the path analysis found that human capital through wages affected the income of 76.4 percent, with a beta value of 0.137 indicating that if the length of schooling were increased by 10 percent, wages would increase by 1.4 times and income by 23.6 percent. In contrast, the relationship of social capital through wages to income is very small because other factors influence, such as the work environment, place of residence, and others.
