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Pengaruh inflasi dan laju pertumbuhan penduduk terhadap kemiskinan di Sumatera Bagian Selatan tahun 2011-2018 Kevin, Kevin; Putri, Aning Kesuma; Nasrun, Aja
SOROT Vol 15, No 1 (2020)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.426 KB) | DOI: 10.31258/sorot.15.1.33-42

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh inflasi dan laju pertumbuhan penduduk terhadap kemiskinan di Sumatera bagian Selatan (Sumbagsel) tahun 2011-2018. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan adalah data panel ibu kota provinsi di Sumbagsel yang terdiri dari Palembang, Pangkalpinang, Bandar Lampung, Bengkulu, dan Jambi tahun 2011-2018. Teknik analisis data dalam penelitian ini menggunakan analisis regresi data panel dengan model Random Effect. Hasil penelitian menunjukkan bahwa secara simultan variabel inflasi dan laju pertumbuhan penduduk berpengaruh signifikan terhadap kemiskinan. Secara parsial variabel inflasi tidak berpengaruh signifikan terhadap kemiskinan sedangkan variabel laju pertumbuhan penduduk berpengaruh signifikan terhadap kemiskinan.This research aimed to find out the effect of inflation and population growth rate on the poverty in Southern Sumatera in 2011-2018. This research used the quantitative approach. The data used is panel data of the capital of province in Southern Sumatera which consists of Palembang, Pangkalpinang, Bandar Lampung, Bengkulu, dan Jambi in 2011-2018. The data analysis technique was the panel data regression analysis using random effect model. The result of the research showed that simultaneously the variable of inflation and population growth rate have a significant effect on the poverty. Partially the variable of inflation have no significant effect on the poverty while the variable of population growth rate has a significant effect on the poverty.
Peramalan Jumlah Wisatawan Kabupaten Belitung Menggunakan Simulasi Monte Carlo Marcelina, Elen; Agustin, Tria; Luthfiyaturrohmah, Khilma; Octaviani, Julia; Pramita, Agnes; Monika, Ines; Dalimunthe, Desy Yuliana; Nasrun, Aja
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25153

Abstract

One of Indonesia's mainstay sectors in receiving foreign exchange is tourism, especially during the Covid-19 pandemic, tourism contributed \$34 billion to state revenue. The tourism sector needs to be developed to support the country's economic growth. One of the priority destinations in Indonesia that can be developed is Bangka Belitung. The purpose of this study is to forecast the number of tourists in Belitung Regency so that it can facilitate the provision of facilities that support the tourism sector as well as promotional strategies to introduce tourist attractions in Belitung Regency to the general public. This study used data on the number of tourists in 2021, 2022, and 2023 in Belitung Regency which was analyzed using the Monte Carlo method. The accuracy of forecasting results is measured based on the Mean Absolute Percentage Error (MAPE) value. The number of tourists from this forecast is in accordance with the pattern of actual tourist data in Belitung Regency.The MAPE value in forecasting the number of tourists in Belitung Regency in 2022 is 21.45\%, which means that the prediction results produced are said to be good, while in 2023 it has an accuracy rate of 7.56\%, which means that the prediction results are said to be very good.