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Keragaan Data Gula Tebu di Indonesia Duwi Yunitasari; Nanik Istiyani; Endah Kurnia Lestari
Jurnal Ekuilibrium Vol 1 No 2 (2017): JEK Volume 1 Nomor 2 Tahun 2017
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Industri gula Indonesia pernah mencapai kejayaan pada tahun 1930-an dengan menjadi eksportir gula terbesar didunia setelah Kuba. Namun pada perkembangan selanjutnya, industri gula Indonesia lambat laun mengalamipenurunan kinerja sehingga menjadi salah satu importir gula utama (Susilohadi et al.2012). Data menunjukkanadanya peningkatan laju impor GKP selama 1998-2015. Peningkatan laju impor tersebut salah satunyadisebabkan oleh adanya peningkatan defisit GKP dan konsumsi GKP. Peningkatan laju konsumsi GKP yang lebihbesar dibandingkan dengan peningkatan laju produksi GKP mengakibatkan Indonesia belum mencapaiswasembada gula. Dengan adanya keragaan data yang ditampilkan, kita bisa mengetahui bagaimana potensipergulaan ke depan. Baik mengenai luas lahan, jumlah penduduk, produksi gula dan produktivitas gula.
Analisis Sektor - Sektor Ekonomi Unggulan dan Strategi Pengembangannya: (Study Kasus di Kabupaten Lumajang) Elok Rahmawati; Rafael Purtomo S; Duwi Yunitasari
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. 7 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.602 KB) | DOI: 10.32670/fairvalue.v4i7.1336

Abstract

The growth rate of GRDP in Lumajang Regency tends to decrease significantly in the last 10 years. Even in 2019, the GRDP growth rate of Lumajang Regency was in the bottom 2 (two) after Probolinggo Regency in the Horseshoe Region and the bottom 3 (three) in East Java Province. From these data, it shows that Lumajang Regency needs an accelerated economic growth plan that focuses on leading economic sectors to improve the welfare of the people of Lumajang Regency. This study uses Shift Share and SWOT analysis. The results of the analysis of sectors that are recommended in accelerating economic growth are the Agricultural Sector, the manufacturing sector and the wholesale and retail trade sector, where the results of the SWOT analysis use the Growth oriented strategy or the Srength - Opportunity (S-O) strategy. The recommended strategy for developing the economic sector in the context of accelerating economic growth in Lumajang Regency is optimizing the improvement of the leading economic sector by utilizing technological advances, improving the quality of human resources, increasing the tourism sector and maximizing promotion. In addition, it is also necessary to pay attention to the synergy and linkages between sectors from upstream to downstream so that economic growth in all sectors will be achieved faster.
Pengaruh Perkembangan Teknologi dan Kinerja Pendidikan Terhadap Pengangguran di Indonesia Hadi Priyono, Teguh; Gianavasya, Shelsa; Hanim, Anifatul; Yunitasari, Duwi; Wibisono, Sunlip; Jumiati, Aisah
JAE (JURNAL AKUNTANSI DAN EKONOMI) Vol 8 No 1 (2023): JAE (Jurnal Akuntansi dan Ekonomi)
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jae.v8i1.19794

Abstract

Digitalization and rapid technological developments can affect a country's economic performance, whether it has a positive impact on economic growth or can even cause other problems such as unemployment. This study aims to determine the effect of technological developments, educational performance, and economic growth on the open unemployment rate in Indonesia. The research was conducted using explanatory research methods and quantitative approaches, as well as using panel data regression analysis methods. The data retrieval is done by using secondary data taken from the Central Statistics Agency website which consists of cross section and time series data by 34 provinces in Indonesia in 2015 – 2020. The test is carried out with the stages of estimating multiple linear regression models and produces the best model, namely Random Effect Model, then Statistical Test, and through the final stage of classical regression assumption test. The results of the study concluded that there was a negative and significant relationship on all independent variables, namely IP-TIK, APK-SMA and economic growth (control) on the dependent variable, namely the open unemployment rate in Indonesia. And there is a role of depressing and interfering variables by the control variable of economic growth.
Pengaruh Penanaman Modal Asing, Teknologi dan Jumlah Penduduk Terhadap Pertumbuhan Ekonomi di Indonesia Tjahjono, Regita Maheswari; Yunitasari, Duwi; Santoso, Edy
Jurnal Ekonomi-Qu Vol 14, No 1 (2024): Jurnal Ekonomi-Qu
Publisher : FEB Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35448/jequ.v14i1.30127

Abstract

This research is motivated by the phenomenon that occurred in Indonesia regarding economic growth which from 2014-2021 experienced a drastic decline and viewership. The aim of this research is to determine the influence of foreign investment (X1), technology (X2), population (X3), and economic growth in Indonesia (Y). This type of research uses descriptive quantitative using the explanatory research method. The research location was carried out in Indonesia in 2023 by taking data from 2014-2021. The data used in this research is secondary data. Data analysis tools use Panel Data or Pooled Data. From the results of the data analysis carried out, it shows that: (1) Foreign direct investment has a significant effect on economic growth in Indonesia. (2) Technology has a significant effect on Economic Growth in Indonesia. (3) Population has a significant positive effect on Indonesia's Economic Growth.
ANALISIS DETERMINAN INDEKS PEMBANGUNAN MANUSIA (IPM) DI INDONESIA PADA MASA PANDEMI COVID-19 Desy Sukma Wijayanti Pradana; Moehammad Fathorrazi; Duwi Yunitasari
EKBIS (Ekonomi & Bisnis) Vol 12 No 2 (2024): Desember 2024
Publisher : POLITEKNIK PIKSI GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56689/ekbis.v12i2.1471

Abstract

Mencapai kesejahteraan hidup yang lebih baik dari sebelumnya merupakan cita-cita semua negara. Guna mencapai hal tersebut maka perlu dilakukan beberapa hal yang diselesaikan melalui pembangunan ekonomi. Agar pembangunan yang dilakukan suatu negara berhasil maka dibutuhkan kualitas Sumber Daya Manusia yang dilihat dari Indeks Pembangunan Manusia. Indeks Pembangunan mengukur sejumlah komponen dasar pembangunan seperti kesehata, pendidikan, dan standar hidup layak. Penelitian ini bertujuan mengetahui dan menganalisis pengaruh penanaman modal dalam negeri, Upah Minimum Provinsi, dan keluhan kesehatan terhadap Indeks Pembangunan Manusia di Indonesia pada masa pandemi covid-19. Penelitian ini merupakan jenis penelitian kuantitatif dengan menggunakan data sekunder data panel yang meliputi 23 provinsi di Indonesia dari tahun 2019-2021. Metode analisis regresi data panel pada penelitian ini yaitu metode Fixed Effect Model. Hasil penelitian menujukkan bahwa penanaman modal dalam negeri memiliki pengaruh positif dan tidak signifikan terhadap Indeks pembangunan manusia di Indonesia, upah minimum provinsi memiliki pengaruh positif dan tidak signifikan terhadap indeks pembangunan manusia di Indonesia, dan keluhan kesehatan memiliki pengaruh negatif dan signifikan terhadap indeks pembangunan manusia di Indonesia. Kata Kunci : Penanaman modal dalam negeri, Upah minimum provinsi, Keluhan kesehatan, Indeks Pembangunan Manusia
Ecoenzyme Menuju Agroindustri yang Berkelanjutan Desa Sumber Waru Kecamatan Binakal Bondowoso Jawa Timur Priyono, Teguh Hadi; Santoso, Edy; Yunitasari, Duwi; Jumiati, Aisah; Istiyani, Nanik
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 9 No 1 (2025): Volume 9 Nomor 1 Tahun 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v9i1.24298

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Unmanaged organic waste will be a problem in itself. The solution offered to overcome the problem of wasting food waste in the form of vegetables and fruits is to make eco enzymes. Making integrated eco enzymes is by utilizing all waste in the vegetable/agricultural farming system, in the integrated agricultural cultivation process into a zero waste bioenergy cycle. If every household and farmer uses their waste to produce environmentally friendly enzymes, it can stop kitchen waste from polluting our land/zero waste and while reducing global warming, we can help change the climate and increase income from eco enzymes sold. In community service activities, all group members come to the partner to get direction and material on the eco enzyme making process and the benefits obtained. The income obtained by the farmer group or PKK mothers in one eco enzyme harvest is IDR 285,000. Eco enzyme materials such as kitchen waste in the form of unused vegetable scraps and fruit peels.
Model Perencanaan Kebijakan dalam Peningkatan Produktivitas Tembakau Besuki Na-Oogst di Kabupaten Jember (Mactor Analysis) Yunitasari, Duwi; Adirosa, Clarissa Esline; Istiyani, Nanik; P, Teguh Hadi
Agrikultura Vol 35, No 3 (2024): Desember, 2024
Publisher : Fakultas Pertanian Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agrikultura.v35i3.55695

Abstract

Tembakau merupakan salah satu komoditas unggulan di Kabupaten Jember dimana 90% produksinya dikirim untuk ekspor. Penelitian ini bertujuan untuk mengetahui strategi peningkatan produktivitas tembakau Besuki Na-Oogst dengan melihat peran aktor dan hubungan antar aktor terhadap pengembangan tembakau Besuki Na-Oogst di Kabupaten Jember. Penelitian dilaksanakan di Kabupaten Jember, Provinsi Jawa Timur sebagai produsen tembakau nomor satu di Jawa Timur. Penelitan ini merupakan jenis penelitian deskriptif kuantitatif. Metode penentuan sampel yang digunakan dalam penelitian ini adalah purposive sampling, sementara itu metode analisis data yang digunakan dalam penelitian ini adalah analisis Mactor (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations). Data penelitian merupakan data primer yang diperoleh melalui observasi, wawancara, dan kuesioner. Wawancara dilakukan kepada 25 orang sebagai responden meliputi petani tembakau, bea cukai, Dinas Tanaman Pangan, Hortikultura dan Perkebunan, Dinas Perindustrian dan Perdagangan, perusahaan tembakau, perokok aktif dan pasif, perguruan tinggi, dan Asosiasi Petani Tembakau Indonesia (APTI) yang diambil acak dikarenakan sudah dapat mewakili seluruh populasi. Hasil penelitian ini menunjukkan bahwa Bea Cukai memiliki peranan tinggi dengan ketergantungan yang tinggi yang berarti aktor Bea Cukai merupakan aktor utama yang sangat memengaruhi pengembangan produktivitas perkebunan tembakau namun tidak memiliki akses secara langsung untuk mengembangkan perkebunan tembakau. Aktor petani tembakau dan APTI memiliki peranan tinggi dengan ketergantungan rendah yang artinya aktor ini bisa memengaruhi pengembangan produktivitas perkebunan tembakau dan memiliki akses secara langsung untuk mengembangkan perkebunan tembakau. Oleh karena itu, diperoleh strategi termasuk peningkatan produktivitas tembakau, peningkatkan permintaan tembakau, melakukan peningkatan infrastruktur, melakukan pengembangan dalam penerapan teknologi, peningkatan lapangan pekerjaan, peningkatan persediaan pupuk subsidi; dan pengembangan pasar yang lebih luas atau peluang ekspor.
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.
The Analysis of Local Regression of Industrial Agglomeration on the Economic Growth in Indonesia Santoso, Edy; Priyono, Teguh Hadi; Yunitasari, Duwi; Anggraini, Silvia
Wiga : Jurnal Penelitian Ilmu Ekonomi Vol. 15 No. 1 (2025): March 2025
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/wiga.v15i1.1402

Abstract

Economic growth is caused by various structural factors, including agglomeration industries and regional spending. This study aims to analyze the influence of industrial agglomeration on economic growth in Indonesia using the Geographically Weighted Panel Regression (GWPR) method. This method analyzes the spatially and temporally varied relationships between dependent and independent variables. This study considers spatial variation to investigate the variability of the economic growth model of each province in Indonesia. This study uses panel data with 34 provinces in Indonesia. Time range from 2017 to 2022. The results of the analysis show that the impact of industrial agglomeration on economic growth varies, with industrial agglomeration having a negative and significant effect on economic growth. Regional spending has a positive and significant influence on economic growth. These findings highlight the importance of policies adapted to regional conditions to maximize the benefits of industrial agglomeration and regional expenditure allocation in supporting sustainable economic growth in various provinces. This research provides important insights for policy makers and academics in designing more effective development strategies based on in-depth spatial analysis.
Analysis of The Level of Income Inequality in East Java Province for The Period 2009 - 2023 Aditya Pratama; Moehammad Fathorrazi; Duwi Yunitasari
International Journal of Economics and Management Sciences Vol. 2 No. 2 (2025): May : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v2i2.668

Abstract

This study analyzes the level of economic development disparity among regions in East Java Province during the period 2009–2023 using the Klassen Typology approach. The study aims to map the classification of regions based on economic growth rates and per capita GRDP to identify spatial disparities among the 38 districts/cities in the province. The analysis results indicate significant inequality, with regions such as Surabaya, Sidoarjo, and Gresik consistently categorized as advanced and rapidly growing areas (Quadrant I), while regions such as Sampang, Pamekasan, and Bondowoso fall into the underdeveloped category (Quadrant IV). This phenomenon shows that the economic spillover effect from growth centers to surrounding regions remains suboptimal and suggests the need for spatially-based policy interventions. This study provides important implications for formulating more inclusive regional development policies and recommends further quantitative analysis to identify the determinants of inequality in greater depth.