scholarly journals ANALISIS SEKTOR UNGGULAN DAN PENGEMBANGAN WILAYAH DI KABUPATEN BOLAANG MONGONDOW TIMUR

2017 ◽  
Vol 13 (3A) ◽  
pp. 75
Author(s):  
Elein ., Mamahit ◽  
Paulus A. Pangemanan ◽  
Charles R. Ngangi
Keyword(s):  
Regional Development ◽  
Development Strategy ◽  
Swot Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Location Quotient ◽  
North Sulawesi ◽  
Sector Analysis ◽  
Analytical Tools

This study aims to (1) identify the leading sectors in the economic structure of East Bolaang Mongondow Regency as information and consideration in (2) formulating regional development strategies. This study uses time series data from Gross Regional Domestic Product (PDRB) of East Bolaang Mongondow Regency and North Sulawesi Province in 2010 - 2016. The analysis tool used in this research is Klassen Tipology, Location Quotient (LQ), and Shift Share analysis to determine the leading sectors and SWOT analysis. The result of per sector analysis based on these three analytical tools shows that which is the leading sector in East Bolaang Mongondow Regency with criteria of advanced and fast growing sector, basic and competitive sector, there are 2 sectors: (a) agriculture, forestry and fishery sector, (b) mining and quarrying sectors. To formulate regional development strategy used SWOT analysis tool. Based on the SWOT analysis, the strategy of regional development at East Bolaang Mongondow Regency with the superior sector is in quadrant III so that the appropriate strategy is turn around strategy. The Weakness Opportunity Strategy in Quadrant III, means minimizing weaknesses by taking advantage of opportunities.

scholarly journals Basic Sector Analysis and Development Strategy of Regional Economic Potential in Kulon Progo District 2013-2017

2021 ◽  
Vol 5 (1) ◽  
pp. 77-87
Author(s):  
Yonanda Mulya Isabhandia ◽  
Lilies Setiartiti
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Economic Potential ◽  
Location Quotient ◽  
Wholesale Trade ◽  
Dynamic Location ◽  
Sector Analysis ◽  
Typology Analysis ◽  
Analytical Tools ◽  
Special Region

The research carried out in Kulon Progo Regency aims to analyze the economic potential that will exist to develop strategies that can be used to develop the economy in Kulon Progo Regency. This study uses data from 2013 to 2017 obtained from the Central Statistics Agency of Kulon Progo Regency and Yogyakarta Special Region. This study uses several analytical tools, namely Statistical Location Quotient (SLQ), Dynamic Location Quotient (DLQ), Shift Share Analysis, Klassen Typology Analysis, and the SWOT analysis approach. Based on the combined analysis of SLQ and DLQ, there are three sectors: the mining and quarrying sector, wholesale trade and retail, car and motorcycle repair, government administration, defense, and social security. These sectors are the crucial sectors at present and will remain the base sectors in the future.

scholarly journals Percepatan Pembangunan Ekonomi Daerah Tertinggal (Kabupaten Pesisir Barat)

2020 ◽  
Vol 9 (3) ◽  
pp. 165-175
Author(s):  
Lies Maria Hamzah ◽  
Erlin Agustin
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Analysis Tool ◽  
The Development Strategy ◽  
Swot Matrix ◽  
Factor Evaluation ◽  
Three Stages ◽  
Underdeveloped Areas ◽  
Analytical Tools ◽  
Evaluation Matrix

This study aims to determine strategies and policies to accelerate the development of the West Coast District which is one of the underdeveloped areas in Indonesia. The SWOT analysis tool is one of the tools that can be used to develop a strategy through three stages: input, incorporation, decision. The analytical tools used in this study are the IFE (Internal Factor Evaluation) matrix, the EFE (External Factor Evaluation) matrix, and the Strength-Weakness-Opportunity-Threats (SWOT) matrix. The result of the research shows that the development strategy of underdeveloped areas in Pesisir Barat Regency is prioritized by using information technology, including to support tourism development in Pesisir Barat Regency.

scholarly journals The Contribution of Fisheries Sector in Regional Development of Cirebon Regency of West Java Province, Indonesia

2021 ◽  
pp. 1-12
Author(s):  
Faris Harsen ◽  
Achmad Rizal ◽  
Mega Laksmini Syamsudin ◽  
Asep Agus Handaka Suryana
Keyword(s):  
Regional Development ◽  
Time Series Data ◽  
Growth Index ◽  
Its Region ◽  
Primary Data ◽  
Series Data ◽  
Market Demand ◽  
Location Quotient ◽  
Index Analysis ◽  
Fishery Products

This research aims to analyze the contribution of the fisheries sector to Gross Regional Domestic Product (GRDP), analyze the extent to which market demand is related to fishery sector products, and analyze the strength of the fisheries sector base and non-base sectors in regional development in Cirebon Regency. The method used in this research is quantitative method using secondary time series data, which is then analyzed using descriptive statistics, as well as qualitative methods using primary data obtained through direct interviews with parties involved in the fisheries sector and distributing questionnaires via google form. to the people of Cirebon Regency. The data analysis used is growth index analysis, Shift Share (SS) analysis, Trade Area Capture (TAC) analysis, Pull Factor (PF) analysis, and Location Quotient (LQ) analysis. The results of the growth index analysis show that the GRDP of the fisheries sector in Cirebon Regency has increased by 77.22% in the 2013-2019 periods. The results of the Shift Share (SS) analysis show that the contribution of the fisheries sector to the GRDP of Cirebon Regency is 10.02%. The results of the 2013-2019 TAC analysis show that the value of TAC > total population means that Cirebon Regency can capture trade opportunities in fishery products from other regions. The PF value of the fisheries sector in Cirebon Regency is > 1, which means that Cirebon Regency can attract customers from other regions and has a specialization in the fishery product market. And the results of the Location Quotient (LQ) analysis show a value of 2.75 (> 1), which means that the Cirebon Regency fishery sector is an economic base sector that can meet the needs of fishery products in its region and can export out of other regions. Regional development in Cirebon Regency can be maximized by increasing development in the fisheries sector as a base sector by making the fisheries sector one of the priorities for regional development investment.

scholarly journals MATHEMATICAL MODELLING AS AN ELEMENT OF PLANNING RAIL TRANSPORT STRATEGIES

Transport ◽  
2021 ◽  
Vol 36 (4) ◽  
pp. 354-363
Author(s):  
Anna Borucka ◽  
Dariusz Mazurkiewicz ◽  
Eliza Łagowska
Keyword(s):  
Time Series ◽  
Development Strategy ◽  
Time Series Data ◽  
Arima Model ◽  
Exponential Smoothing ◽  
Rail Transport ◽  
Transport Infrastructure ◽  
Rolling Stock ◽  
Series Data ◽  
Passenger Transport

Effective planning and optimization of rail transport operations depends on effective and reliable forecasting of demand. The results of transport performance forecasts usually differ from measured values because the mathematical models used are inadequate. In response to this applicative need, we report the results of a study whose goal was to develop, on the basis of historical data, an effective mathematical model of rail passenger transport performance that would allow to make reliable forecasts of future demand for this service. Several models dedicated to this type of empirical data were proposed and selection criteria were established. The models used in the study are: the seasonal naive model, the Exponential Smoothing (ETS) model, the exponential smoothing state space model with Box–Cox transformation, ARMA errors, trigonometric trend and seasonal components (TBATS) model, and the AutoRegressive Integrated Moving Average (ARIMA) model. The proposed time series identification and forecasting methods are dedicated to the processing of time series data with trend and seasonality. Then, the best model was identified and its accuracy and effectiveness were assessed. It was noticed that investigated time series is characterized by strong seasonality and an upward trend. This information is important for planning a development strategy for rail passenger transport, because it shows that additional investments and engagement in the development of both transport infrastructure and superstructure are required to meet the existing demand. Finally, a forecast of transport performance in sequential periods of time was presented. Such forecast may significantly improve the system of scheduling train journeys and determining the level of demand for rolling stock depending on the season and the annual rise in passenger numbers, increasing the effectiveness of management of rail transport.

scholarly journals THE TESTING OF MONEY NEUTRALITY IN ECONOMIC GROWTH OF INDONESIA

2017 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Muammil Sun’an ◽  
Amran Husen
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Output Growth ◽  
Broad Sense ◽  
Series Data ◽  
Analysis Tool ◽  
Real Sector ◽  
Short Term ◽  
Correction Model

<p>This study aim is to test the money neutrality in a narrow sense (M1) and a broad sense (M2) to the growth of output (GDP) in Indonesia, both in short term and long term. This research uses quarterly time series data at 2010 - 2016 periods. The analysis tool used is Error Correction Model (ECM). The results show that short-term money supply (M1 and M2) affect on output growth. However, in the long term, only money circulation in a broad sense (M2) affects on output growth, which also means that money is not neutral because it affects the real sector (GDP).</p><p> <strong>Keywords:</strong> M1, M2, Population, Capital, and Economic Growth.</p>

scholarly journals Analisis Kesenjangan Pertumbuhan Ekonomi Antar Wilayah Se Sulawesi

Al-Buhuts ◽  
2018 ◽  
Vol 14 (02) ◽  
pp. 38-52
Author(s):  
Ritmon Amala
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Positive Trend ◽  
Economic Stability ◽  
National Unity ◽  
Political Consequences ◽  
North Sulawesi ◽  
Analysis Process ◽  
South Sulawesi ◽  
Per Capita

Differences in the level of development will increase the level of speed between regions, which in turn causes greater regional disparities. Sulawesi Island has six provinces where each province has different economic growth. The push of the economy in every province in Sulawesi Island in it shows a positive trend. This study aims to examine the inequality of economic development between regions in North Sulawesi (2000–2013). The data used uses GRDP time series data, Population and Per Capita Revenue from 2000-2013. The analysis process used is Williamson Index Analysis. The results showed that the GDP per capita index between provinces in Sulawesi Island during the period 2000-2013 averaged 0.167 with a positive trend. The region that has the highest Williamson Index for South Sulawesi Province is (0.32) with a positive trend, and the lowest is West Sulawesi Province (0.08) with a positive trend. As a whole, the provinces in Sulawesi are in the crestieria: CVw <0.35 = Low level unity. But if the higher Williamson Index means to connect between large regions, it must be immediately sought to reduce the economic level caused by the economy between regions left to be higher, can cause social, economic and political consequences that occur in the sense of national unity, can issue the country's economic stability

scholarly journals ANALISIS DAMPAK KEPEMILIKAN SURAT BERHARGA OLEH BPD TERHADAP PERTUMBUHAN EKONOMI DAERAH

2018 ◽  
Vol 14 (1) ◽  
pp. 32-47
Author(s):  
Khairur dan Telisa Aulia Falian Raziqiin ◽  
Telisa Aulia Falian
Keyword(s):  
Economic Growth ◽  
New York ◽  
Time Series ◽  
Regional Development ◽  
Time Series Data ◽  
Financial Institution ◽  
Positive Influence ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic

Local government-owned banks (BPD), was established in order to help accelerate the development of the area where the BPD located. The expected goals of this study are: To measure the effect of the placement of funds by BPD on regional economic growth, to measure investment lending by BPD to regional economic growth. Population was all the existing Regional Development Bank in Indonesia. Based on data from Bank Indonesia, the number of regional development banks perDesember 2013 as many as 26 banks. The type of data that will be used in this research is time series data (time series) from January 2009 until December 2013 The model that will be used in this research is the use of panel data. Results of research on Analysis of Impact of Ownership of Securities by BPD Against Regional Development, government capital spending, credit productive, ownership of securities by BPD positive effect on GDP, and significantly affect GDP, labor force have a positive influence on the GDP, but the effect was not significant workforce to GDP.Badan Pusat Statistik. Berbagai tahun. Data Realisasi APBD. Badan PusatStatistik, Jakarta. Bank Indonesia. Berbagai tahun. Laporan Publikasi Bank Umum. Bank Indonesia,Jakarta. Budiono. (2001). Ekonomi Moneter Edisi 3. Yogyakarta : BPFE Djojosubroto, Dono Iskandar. (2004). Koordinasi Kebijakan Fiskal dan Moneter di Indonesia Pasca Undang – undang Bank Indonesia 1999. Jakarta : Kompas Dornbusch, Rudiger, Stanley Fischer, Richard Startz. (2004). Makroekonomi. (Yusuf Wibisono, Roy Indra Mirazudin, terjemahan). Jakarta :MediaGlobal Edukasi. Gujarati, Damodar. (1997). Ekonometrika Dasar. (Sumarno Zein, terjemahan).Jakarta : Erlangga. Gultom, Lukdir. (2013). Tantangan Meningkatkan Efisiensi dan Efektifitas BPD sebagai Regional Champion Dalam Pengembangan Usaha Mikro, Kecil dan Menengah di Indonesia, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia. Husnan, Suad. (2003). Dasar – dasar Teori Portofolio dan Analisis Sekuritas.Yogyakarta : UPP AMP YKPN. Kasmir. (2002). Dasar – Dasar Perbankan. Jakarta : PT. Raja Grafindo Persada. Kuncoro, Mudrajad. (2001) Metode Kuantitatif : Teori dan Aplikasi untuk Bisnis dan Ekonomi. Yogyakarta : AMP YKPN. Latumaerissa dan Julius R. (1999). Mengenal Aspek-aspek Operasi Bank Umum. Jakarta : Bumi Aksara. Lipsey, Richard G, et al. (1997). Pengantar Makro Ekonomi. ( Jaka Wasana danKibrandoko, terjemahan). Jakarta :Binarupa Aksara. Mankiw, Gregory. (2000). Macroeconomics Theory. New York : Worth PublisherInc. Nachrowi, Nachrowi D., Hardius Usman. (2006). Pendekatan Populer dan Praktis EKONOMETRIKA untuk Analisis Ekonomi dan Keuangan.Jakarta : Lembaga Penerbit FEUI. Rahmany, A. Fuad. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 445 – 462. Rivai, Veithzal, Andria Permata Veithzal, Ferry N. Idroes. (2007). Bank and Financial Institution Management : Conventional & Sharia System, Jakarta : RajaGrafindo Persada. Sunarsip. (2008). Relasi Bank Pembangunan Daerah dan Perekonomian Daerah, dimuat dalam Republika, Rabu, 9 Januari 2008. Rubrik Pareto hal.16 Sunarsip. (2011). Transformasi BPD. Dimuat Infobank Edisi Januari 2011. Republik Indonesia, Kementrian Keuangan (2010), Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun Lembaga Keuangan,Tim Studi Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun. Jakarta.Waluyanto, Rahmat. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 463 – 508. Wuryandari, Gantiah. (2013). Mengusung Bank Pembangunan Daerah (BPD) Sebagai Bank Fokus Sektor Strategis Dalam Mendukung Pembangunan Nasional, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia.

scholarly journals ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yandiles Weya ◽  
Vecky A.J. Masinambow ◽  
Rosalina A.M. Koleangan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Activity ◽  
Time Series Data ◽  
Private Investment ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu  LPDRB  =  - 4,445    +  0.036 LINV  +  0.049 LBL  +  2,229 LPOP.  Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT    The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if  years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period.    The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

HUBUNGAN KAUSALITAS HARGA JUAL DAN HARGA SEWA APARTEMEN DI JABODETABEK

2021 ◽  
Vol 1 (1) ◽  
pp. 93-105
Author(s):  
Zainal Zawir Simon ◽  
Effendy Zain ◽  
Zulihar Zulihar
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Time Series Data ◽  
Investment Analysis ◽  
Series Data ◽  
Analysis Tool ◽  
Selling Price ◽  
Causality Analysis ◽  
Granger Causality Analysis ◽  
Causality Relationship

Abstrak Penelitian ini bertujuan untuk mengetahui hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Data yang dipergunakan adalah data  time series dalam bentuk kuartalan untuk periode 2007:1-2018:3 dan alat analisis yang dipergunakan adalah analisa kausalitas Granger. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Dengan kata lain perubahan harga jual  tidak mempengaruhi harga sewa. Sebaliknya harga sewa juga tidak mempengaruhi harga jual apartemen. Dengan demikian Investor diharapkan dalam melakukan analisis investasinya memasukkan faktor-faktor lain yang dapat mempengaruhi harga jual dan harga sewa untuk apartemen, agar terlepas dari pandangan bahwa harga jual mempengaruhi harga sewa dan sebaliknya.Kata Kunci : Harga Jual apartemen, Harga Sewa Apartemen, Data Runtut Waktu, Analisa Kausalitas GrangerABSTRACTThis study aims to determine the causality relationship between the selling price of apartments and apartment rental prices in the Greater Jakarta area. The data used are time series data in quarterly form for the period 2007: 1-2018: 3 and the analysis tool used is the Granger causality analysis. The results showed that there was no causality relationship between apartment selling prices and apartment rental prices in the Greater Jakarta area. In other words, changes in selling prices do not affect rental prices. Conversely the rental price also does not affect the selling price of the apartment. Thus Investors are expected to carry out investment analysis to include other factors that can affect the selling price and rental price for an apartment, so that regardless of the view that the selling price affects the rental price and vice versa.Keywords : Selling Price of apartments, rental prices apartments, time series data, Granger Causality Analysis

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