Studi komparatif ketimpangan antar pulau di Indonesia

Panggarti, Ufit; Zumaeroh, Zumaeroh; Purnomo, Sodik Dwi; Retnowati, Diah; Adhitya, Bagus

doi:10.30872/jfor.v24i2.10988

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…This research began with collecting data using interview techniques and categorizing the phenomenon. The questions asked during the interview were about (1) what the obstacles or challenges faced by digital entrepreneurs are. ( 2) what opportunities do they have?…”

Section: Methodsmentioning

confidence: 99%

“…The island of Sumatra, the island of Nusa Tenggara, and the island of Papua fall into the category of high inequality according to the existing condition of digital inequality in each region in Indonesia (Panggarti et al, 2022). Meanwhile, Java Island and Kalimantan Island are in the category of very high inequality, Sulawesi Island is in the category of close to equal inequality, and Maluku Island is in the very even category.…”

Section: Literature Review Digital Inequalitymentioning

confidence: 99%

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Digital Inequality and Digital Entrepreneurship in Indonesia

Irawan,

Yendra,

Sutisna

et al. 2024

JAM

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In the era of disruption, myriads of digital entrepreneur in Indonesia still faces significant problems due to the demographical disadvantage and the lack of government policies that can overcome the problem faced. This series of problems has resulted to the existence of digital inequality. This study aimed to explains the digital inequality in Indonesia that has an impact on the inequality of opportunities and challenges for digital entrepreneurs. Qualitative approach to case studies in Indonesia. Informants were taken from 3 regions in Indonesia as well as government representatives responsible for the development of information and communication technology. Data was collected through in-depth interviews online and data was processed with the help of NVivo12. The study was conducted for 6 months. The results of this research will certainly have implications for the development of technology research, digitalization and communication as well as business. If the problem of digital inequality is resolved, digital business development in Indonesia will be more competitive. However, the biggest implication can certainly be a recommendation for information and communication technology development policies in Indonesia, such as the policy of building base transceiver station (BTS) in areas where there is no internet connectivity.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Review Digital Inequalitymentioning

confidence: 99%

Digital Inequality and Digital Entrepreneurship in Indonesia

Irawan,

Yendra,

Sutisna

et al. 2024

JAM

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“…Pada awal Pembangunan suatu wilayah akan semakin timpang dan selanjutnya akan mengalami perdagangan menjadi semakin merata (Kuncoro, 2004). Beberapa faktor yang mempengaruhi ketimpangan di daerah adalah: a) terjadi kesenjangan dalam bidang struktur ekonomi, sosial dan infrastruktur karena kegiatan ekonomi yang terlalu fokus pada sektor tertentu seperti pertanian tradisional, b) keberagaman dan jumlah sumber daya yang terbatas untuk diggunakan sehingga menyebabkan tingginya angka pengangguran dan kemiskinan, c) rendahnya akses terhadap fasilitas Kesehatan dan Pendidikan yang menyebabkan rendahnya angka indeks pembangunan manusia (IPM), d) buruknya kualitas dan jumlah infrastruktur yang disebabkan oleh alokasi anggaran untuk pembanguna dan pemeliharaan yang tidak memadai (Panggarti et al, 2022). Berdasarkan hasil analisis indeks Williamson kondisi ketimpangan di provinsi Gorontalo tahun 2017-2022 digambarkan seperti dibawah ini:…”

Section: Kondisi Ketimpangan Ekonomiunclassified

“…Menurut (Panggarti et al, 2022) apabila nilai indeks Williamson berada direntan nilai 0,00-0,25 artinya kesenjangan Pembangunan ekonomi sangat rendah. Jika melihat pada gambar 1 dapat disimpulkan bahwa kesenjangan Pembangunan ekonomi di provinsi Gorontalo dari tahun 2017-2022 sangat rendah.…”

Section: Gambar 1 Ketimpangan Provinsi Gorontalo Tahun 2017-2022unclassified

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

Olii,

Sudirman,

Halid

2023

Ekuitas

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Indonesia, as an archipelago, has different regional characteristics, so the problem of regional inequality cannot be avoided. The central government authorizes local governments to develop the potential of the region so that each region is required to be able to independently improve its economy. Gorontalo province, as a province of expansion in 2000, is in a strategic location that has great potential in the agricultural sector, as well as in mariculture an agriculture. The research objective is to determine the condition of economic inequality in Gorontalo province and the leading sectors in each district/city of Gorontalo province. Using time series data from 2017-2022, inequality is analyzed using the Williamson Index (IW), and to determine leading sectors, location quotient (LQ) analysis is used. The results show that the level of inequality in Gorontalo province is close to zero, which means that the condition of the level of income and welfare of the population is evenly distributed because the majority of population employment is still dominated by the agriculture, sector, which is the leading sector in Gorontalo, Boalemo, and North Gorontalo districts, and the trade sector, which is the leading sector in Boalemo and Bonebolango districts

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“…Ketimpangan wilayah ditandai dengan perbedaan tingkat perkembangan kegiatan ekonomi dan sosial penduduk (Panggarti et al, 2022). Keterjangkauan masyarakat terhadap fasilitas menentukan tingkat pelayanan yang dapat diakses untuk menentukan kesejahteraan masyarakat (Soares et al, 2017).…”

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Pusat Pertumbuhan Ekonomi Dan Interaksi Spasial: Studi Empiris Di Provinsi Sumatera Selatan

Purnomo,

Wahyuni,

Danuta

et al. 2023

EEB

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In 2010 and 2020, South Sumatra Province had the third highest GRDP on the island of Sumatra. However, based on the Williamson index, the level of income distribution that occurs between districts/cities is still low. This study aims to identify growth centers and spatial interactions of districts/cities in South Sumatra Province in 2010 and 2020.The analyses used in this research are scalogram analysis, centrality index and gravity analysis. The results showed that in 2010 there were 2 regencies/cities in Hierarchy I, 6 regencies/cities in Hierarchy II, 5 regencies/cities in Hierarchy III and 2 regencies/cities in Hierarchy IV. In 2020 there are 4 districts/cities in Hierarchy I, 4 districts/cities in Hierarchy II, 6 districts/cities in Hierarchy III and 1 district/city in Hierarchy IV. From 2010 to 2020, the interaction between growth centers and their hinterlands has increased. Banyuasin, Ogan Komering Ilir and Ogan Ilir districts are the areas that have the strongest interaction. The policy implication is that economic cooperation needs to be carried out between the growth center regions and the regions behind them so that economic growth can be assisted in each region.

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Studi komparatif ketimpangan antar pulau di Indonesia

Cited by 3 publications

References 7 publications

Digital Inequality and Digital Entrepreneurship in Indonesia

Digital Inequality and Digital Entrepreneurship in Indonesia

Analisis Sektor Ekonomi Provinsi Gorontalo Tahun 2017-2022

Pusat Pertumbuhan Ekonomi Dan Interaksi Spasial: Studi Empiris Di Provinsi Sumatera Selatan

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