Shift Share Location Quotient, and ARIMA Forecasting Methods in the Analysis of the Competitiveness of Tual City and the Economic Growth of the Maluku Province.

Nova prista La Adisamu, Endroyono Endroyono, Sumpeno Mardi Susiki Nugroho

Abstract


 AbstractEconomic development and high competitiveness are significant factors in a region’s success, especially since the enactment of Law Number 32 of 2004 on Regional Government, which converted the centralized to a decentralized system. This study analyzes the GRDP data of Tual City and Maluku Province using the shift share method and the Location Quotient method, resulting in a shift share assessment of Tual City’s regional competitiveness. It can be seen that the economic state of Tual City is still influenced by the Maluku Province’s economic growth of 593,688 with an overall slowdown in Proportional Shift of (-633.686) and an differential shift of (-5,756.040) during 9 years. The ARIMA forecasting method was then used to project the province’s 5th-year economic growth of 8,486,707 (billions) in the 5th period.

Full Text:

PDF

References


“Undang-Undang Republik Indonesia Nomor 32 Tahun 2004 Tentang Pemerintahan Daerah.”

L. Arsyad, “Pengantar Perencanaan Dan Pembangunan Ekonomi Daerah,” 1999.

H. Mopangga, “Analisis Ketimpangan Pembangunan Dan Pertumbuhan Ekonomi Di Provinsi Gorontalo Herwin Mopangga Sekolah Pascasarjana,” Trikonomika, Vol. 10, No. 1, Pp. 40–51, 2011.

M. E. Porter, “Economic Development : Local Clusters In A Global Economy,” Economic Development Quarterly, 2000, Doi: 10.1177/089124240001400105.

S. Kusumaningrum Et Al., “Pertumbuhan Inklusif Dan Faktor Yang Memengaruhinya ( Economic Growth Of Provinces In Indonesia Based On Inclusive Growth Composite Index And The Influence Factors ) Pertumbuhan Inklusif Yang Berkelanjutan Dalam Arti Luas Mencakup Peningkatan Melibatkan S,” Ekonomi Dan Kebijakan Publik, Vol. 10, No. 1, Pp. 1–18, 2019.

M. Huda And E. B. Santoso, “Pengembangan Daya Saing Daerah Kabupaten/Kota Di Propinsi Jawa Timur Berdasarkan Potensi Daerahnya,” Jurnal Teknik Pomits, Vol. 3, No. 2, Pp. 81–86, 2014, Doi: 10.12962/J23373539.V3i2.7207.

M. Basuki And F. N. Mujiraharjo, “Analisis Sektor Unggulan Kabupaten Sleman Dengan Metode Shift Share Dan Location Quotient,” Jurnal Sains, Teknologi Dan Industri, Vol. 15, No. 1, Pp. 52–60, 2017, Doi: 10.4103/2276‑7096.188531.

N. Prawoto, “Pengembangan Potensi Unggulan Sektor Pertanian,” Jurnal Ekonomi & Studi Pembangunan, Vol. 11, No. 1, Pp. 1–19, Apr. 2010, Doi: 10.18196/Jesp.11.1.1275.

S. Sugianto And Y. T. Permadhy, “Perencanaan Pembangunan Inklusif Melalui Peran Partisipatif Pemerintah Daerah,” Ecces (Economics, Social, And Development Studies), Vol. 7, No. 1, P. 87, Jun. 2020, Doi: 10.24252/Ecc.V7i1.13565.

D. Melani Hutajulu, J. Lukis Panjawa, F. Sari Islami, And R. Retno Sugiharti, “Determinan Pertumbuhan Ekonomi Berkelanjutan Wilayah Induk Dan Pemekaran Di Kawasan Timur Indonesia,” Ejournal.Uksw.Edu, Vol. 23, No. Oktober, Pp. 263–284, 2020, Accessed: Jan. 30, 2022. [Online]. Available: Https://Ejournal.Uksw.Edu/Jeb/Article/View/3293.

Bappenas, “Rencana Kerja Pemerintah Tahun 2019,” Pemerataan Pembangunan Untuk Pertumbuhan Berkualitas, Pp. 1–441, 2019.

M. K. Alfrianus Papuas, M. E. P. . Prof.Drs. Mustafid, And M. K. Drs. Eko Adi Sarwoko, “Rancang Bangun Sistem Informasi Pendapatan Asli Daerah Pada Dinas Pendapatan Daerah Kabupaten Sangihe,” Aug. 2012.

S. Pantow, S. Palar, And P. Wauran, “Analisis Potensi Unggulan Dan Daya Saing Sub Sektor Pertanian Di Kabupaten Minahasa,” Jurnal Berkala Ilmiah Efisiensi, Vol. 15, No. 4, Sep. 2015, Accessed: Jul. 29, 2021. [Online]. Available: Https://Ejournal.Unsrat.Ac.Id/Index.Php/Jbie/Article/View/9380.

O. Hapsara And S. Sudirman, “Analisis Potensi Daya Saing Ekonomi Kota Jambi,” J-Mas (Jurnal Manajemen Dan Sains), Vol. 5, No. 1, P. 42, 2020, Doi: 10.33087/Jmas.V5i1.146.

A. Negara, A. P.-E. J. Ekonomi, And Undefined 2020, “Analisis Sektor Unggulan Kecamatan Toboali Dengan Metode Shift Share Dan Location Quotient,” Equity.Ubb.Ac.Id, Accessed: Jan. 28, 2022. [Online]. Available: Http://Equity.Ubb.Ac.Id/Index.Php/Equity/Article/View/11.

H. Salakory, F. M.-B. J. Ilmu, And Undefined 2020, “Analisis Shift-Share Terhadap Perekonomian Kota Sorong,” Ojs3.Unpatti.Ac.Id, Vol. 14, P. 4, 2020, Doi: 10.30598/Barekengvol14iss4pp575-586.

F. Kondo Lembang, “Prediksi Laju Inflasi Di Kota Ambon Menggunakan Metode Arima Box Jenkins,” Statistika: Journal Of Theoretical Statistics And Its Applications, Vol. 16, No. 2, Pp. 95–102, 2017, Doi: 10.29313/Jstat.V16i2.2188.

M. Ali And Akbar, “Analisis Perubahan Struktur Ekonomi Dan Penyerapan Tenaga Kerja Berdasarkan Pendekatan Shift Share, Input-Ouput Dan Arima Di Provinsi Jambi Periode Tahun 2001-2016,” Jurnal Ilmiah, Vol. 10, No. 2, Pp. 1–94, 2015.

A. Sulaiman And A. Juarna, “Peramalan Tingkat Pengangguran Di Indonesia Menggunakan Metode Time Series Dengan Model Arima Dan Holt-Winters,” Jurnal Ilmiah Informatika Komputer, Vol. 26, No. 1, Pp. 13–28, 2021, Doi: 10.35760/Ik.2021.V26i1.3512.

R. J. Djami, J. Esna, T. Radjabaycolle, And G. Haumahu, “Forecasting The Ambon City Consumer Price Index Using Arima Box-Jenkins,” Vol. 2, No. 2, Pp. 87–96, 2021, [Online]. Available: Https://Www.Bps.Go.Id/Indicator/3/2/1/Indeks-Harga-Konsumen-Umum-.

K. Tual, T. Dalam, And D. Angka, Kota Tual Dalam Angka 2020. 2020.

B. P. Statistik, “Provinsi Maluku Dalam Angka 2020.”

R. Tarigan, “Perencanaan Pembangunan Wilayah Edisi Revisi,” Jbumi Aksara, Vol. Cetakan Ke, No. 1, P. 274, 2015.

“Gikungu, S.W., A. G. Waititu, And Kihoro, J. M. ‘Forecasting Inflation Rate In Kenya Using Sarima Model’, American Journal Of Theoretical And Applied Statistics, 4(1): 15-18, 2015.” Http://Www.Sciepub.Com/Reference/171568 (Accessed Aug. 21, 2021).




DOI: https://doi.org/10.12962/jaree.v6i1.237

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.