Edy Santoso
Universitas Jember

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Reservacation: Aplikasi Berbasis Mobile Untuk Pengembangan Ekowisata Kampung Blekok Desa Klatakan Kendit Kabupaten Situbondo Menuju National Destination Tourism Yeni Puspita; fahrobby Adnan; Herman Cahyo Diartho; Rebecha Prananta; Edy Santoso
Majalah Ilmiah "PELITA ILMU" Vol 5, No 2 (2022): PELITA ILMU (DESEMBER 2022)
Publisher : STIA Pembangunan Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37849/mipi.v5i2.303

Abstract

Kampung Blekok terletak di Desa Klatakan, Kecamatan Kendit, Kabupaten Situbondo, Jawa Timur. Peraturan Bupati Situbondo No. 13 Tahun 2017 kawasan ini ditetapkan sebagai kawasan ekowisata mangrove dan burung air, bahkan dikategorikan 6 Desa Wisata Terbaik di Jawa Timur, Berdasarkan data Dinas Pariwisata Kabupaten Situbondo pada bulan Juni 2019, jumlah pengunjung Kampung Blekok sebesar 9.767 orang. Tingginya animo wisatawan sejauh ini belum diimbangi dengan layanan promosi dan reservasi yang optimal, sehingga mereka butuh sebuah media promosi berupa Website yang didalamnya memuat fitur pemesanan tiket (reservasi) sebelum wisatawan berkunjung ke Kampung Blekok. Pengabdian ini bertujuan untuk memfasilitasi pihak pengelola di Kampung Blekok dalam memberikan fasilitas informasi dan promosi terkait cara pemesanan untuk berkunjung dan menginap di homestay di Kampung Blekok. Rencana solusi permasalahan yang ditawarkan adalah dengan membangun aplikasi berupa Website yang memberikan gambaran kepada calon pengunjung tentang wisata kampung Blekok yang di dalamnya terdapat fitur reservasi. Metode pelaksanaan pengabdian yang dilakukan adalah dengan metode pengembangan perangkat lunak dan metode Focus Group Discussion (FGD), metode pembimbingan dan pendampingan oleh tim pelaksana pengabdian dengan pihak Pokdarwis Kampung Blekok, Website dapat diakses melaluihttps://wisatakampungblekok.com/ Luaran yang ditargetkan adalah pengembangan Kampung Blekok menuju salah satu national destination.
Analysis of Poverty Determination in Madura 2010 - 2019 Kamilah Kamilah; Teguh Hadi Priyono; Duwi Yunitasari; Sunlip Wibisono; Rafael Purtomo Somaji; Nanik Istiyani; Edy Santoso
MediaTrend Vol 17, No 2 (2022): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v17i2.15810

Abstract

One of the largest’s poverty percentage in East Java Province is on Madura insland.The average percentage of poverty in district on Madura Island is higher than thepercentage of poverty in East Java Province. Based on this, it is known that the poverty rate in Madura is above East Java Province, reaching more than 20 percent. 2022This study aims to determine the effect of the independent variables of economicgrowth, Unemployment Rate, Inequality of Income Distribution on Poverty Levelson Madura Island. In this case, the data used is panel data which is a combinationof the time series, namely 2010 – 2019 and the latitude series of 4 districts inMadura. The data analysis method used in this research is panel data regression.The results of this study are the variable economic growth (X1) has a negative andsignificant effect on poverty in Madura Island. The Variable Unemployment Rate(X2) has a positive and insignificant effect on poverty in Madura Island. Incomedistribution inequality variable (X3) has a negative and significant effect on povertyin Madura Island
Unraveling the spatial dynamics of regional economic disparities in East Java Hadi Priyono, Teguh; Santoso, Edy; Istyani, Nanik; Jumiati, Aisah; Purtomo Somaji, Rafael
Journal of Innovation in Business and Economics Forthcoming articles
Publisher : Faculty of Economics and Business, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jibe.v8i02.29396

Abstract

  The objective of this research was to analyze the determinants of regional disparities in East Java Province. This study utilized panel data, incorporating research locations across 38 regencies in East Java, with a data series spanning from 2016 to 2020. Spatial panel data models were employed to address the research objective, specifically examining the impact of spatial and non-spatial factors on disparities in East Java. The study's findings indicated that the Spatial Autoregressive (SAR) model was the most effective for estimating disparities in the region. The effects of each variable are as follows: the average duration of schooling and investment had positive and significant effects on disparities, while the variable of open unemployment rate did not exhibit any significant effect. Additionally, there is a spatial effect in the form of an endogenous interaction effect, signifying that the extent of disparities is influenced by the disparities in neighboring areas.
GWPR Model on Indonesian Economic Growth: The Analysis of Spatially Varying Relationships Santoso, Edy; Hadi Priyono, Teguh; Istiyani, Nanik; Jumiati, Aisah; Yunitasari, Duwi
Signifikan: Jurnal Ilmu Ekonomi Vol 14, No 1 (2025)
Publisher : Faculty of Economic and Business Syarif Hidayatullah State Islamic University of Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sjie.v14i1.44771

Abstract

Research Originality: This research is original in examining the spatial varying relationship on economic growth in Indonesia.Research Objectives: This study investigates the variability of Indonesia's economic growth model determinants.Research Methods: This study uses the Geographically Weighted Panel Regression (GWPR) approach. Panel data was analyzed with 34 provinces in Indonesia from 2016 to 2022.Empirical Results: This study found that the Revenue Sharing Fund (DBH) variable significantly influenced economic growth in 32 provinces. Meanwhile, the influence of DBH is not significant in only two provinces, namely Papua and West Papua. The variables of Labor and Gross Fixed Capital Formation did not have a significant effect on economic growth in 34 provinces.Implications: These results show that Indonesia's economic growth rate is still not optimal, so the government is expected to design development programs that integrate various factors, such as maximizing Revenue Sharing Fund management, improving the quality of labor, and maximizing capital efficiency, to encourage economic growth in all provinces.JEL Classification: C31, O47, R11, H54How to Cite:Santoso, E., Priyono, T. H., Istiyani, N., Jumiati, A., & Yunitasari, D. (2025). GWPR Model on Indonesian Economic Growth: The Analysis of Spatially Varying Relationships. Signifikan: Jurnal Ilmu Ekonomi, 14(1), 37-52. https://doi.org/10.15408/sjie.v14i1.44771.