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 The Contribution of Fisheries Sector in Regional Development of Batam City of Riau Islands Province, Indonesia

2020 ◽  
pp. 13-23
Author(s):  
Heldo Parulian Siregar ◽  
Achmad Rizal ◽  
Herman Hamdani ◽  
Iwang Gumilar
Keyword(s):  
Regional Development ◽  
Secondary Data ◽  
Growth Index ◽  
Descriptive Statistics ◽  
Primary Data ◽  
City Region ◽  
Minimum Requirement ◽  
Trade Area ◽  
A Value ◽  
Index Analysis

This research aims to analyze the growth of the fisheries sector, analyze the commodity market strength of the fisheries sector and analyze the strength of the fisheries sector's base and non-base sectors in regional development in Batam City. The method used in this study is a quantitative method using secondary data cross-section and time series which are then analyzed using descriptive statistics, and qualitative methods using primary data obtained through interview questionnaires. Analysis of the data used is growth index analysis, Trade Area Capture (TAC) analysis, Pull Factor analysis (PF) and Minimum Requirement Approach (MRA) analysis. The results of the growth index analysis show that the GDP of the fisheries sector in the Batam City has increased by 126 % in the period 2013-2018. The results of the 2013-2018 TAC analysis showed that the TAC value> population indicated that Batam City was able to capture the opportunities of trade in fisheries products in other regions. PF value of the Batam City fisheries sector> 1 which shows that the Batam City region can attract customers from other regions and has a specialization in terms of fishery product markets. MRA analysis results in Batam City in 2017 obtained the largest base multiplier in BatuAji District with a value of 2.4 which means that every 20 workers in the base sector are expected to create 4 workers in the non-base sector.

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 The Contribution of Fisheries Sector in Regional Development of Karo Regency North Sumatra Province, Indonesia

2021 ◽  
pp. 36-43
Author(s):  
Rivaldo T. C. Tarigan ◽  
Achmad Rizal ◽  
Eri Bachtiar ◽  
Iwang Gumilar
Keyword(s):  
Regional Development ◽  
Secondary Data ◽  
Growth Index ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Minimum Requirement ◽  
Trade Area ◽  
A Value ◽  
Index Analysis ◽  
North Sumatra

This research aims to analyze the growth of the fisheries sector, analyze the commodity market strength of the fisheries sector and analyze the strength of the fisheries sector's base and non-base sectors in regional development in Karo Regency. The method used in this study was a quantitative method using secondary data cross-section and time series which were then analyzed using descriptive statistics, and qualitative methods using primary data obtained through interview questionnaires. Analysis of the data used was growth index analysis, Trade area capture (TAC) analysis, full factor analysis (PF) and minimum requirement approach (MRA) analysis. The results of the growth index analysis show that the Gross Domestic Product (GDP)of the fisheries sector in the Karo Regency has increased by 95% in the period 2009-2018. The results of the 2009-2018 TAC analysis showed that the TAC value> population indicated that the regency was able to capture the opportunities of trade in fisheries products in other regions. PF value of the fisheries sector> 1 can attract customers from other regions and has a specialization in terms of fishery product markets. MRA analysis results in 2017 obtained the largest base multiplier in Bulang District with a value of 12.9 which means that every 120 workers in the base sector are expected to create 9 workers in the non-base sector.

scholarly journals PREDICTION OF OZONE (O3) VALUES USING SUPPORT VECTOR REGRESSION METHOD

2021 ◽  
Vol 7 (4) ◽  
pp. 81-88
Author(s):  
Chasandra Puspitasari ◽  
Nur Rokhman ◽  
Wahyono
Keyword(s):  
Air Quality ◽  
Support Vector Regression ◽  
Time Series Data ◽  
Motor Vehicles ◽  
Primary Data ◽  
Series Data ◽  
Polynomial Kernel ◽  
Support Vector ◽  
Linear Kernel ◽  
Air Quality Prediction

A large number of motor vehicles that cause congestion is a major factor in the poor air quality in big cities. Ozone (O3) is one of the main indicators in measuring the level of air pollution in the city of Surabaya to find out how air quality. Prediction of Ozone (O3) value is important as a support for the community and government in efforts to improve the air quality. This study aims to predict the value of Ozone (O3) in the form of time series data using the Support Vector Regression (SVR) method with the Linear, Polynomial, RBF, and ANOVA kernels. The data used in this study are 549 primary data from the daily average of ozone (O3) value of Surabaya in the period 1 July 2017 - 31 December 2018. The data will be used in the training and testing process until prediction results are obtained. The results obtained from this study are the Linear kernel produces the best prediction model with a MAPE value of 21.78% with a parameter value 𝜆 = 0.3; 𝜀 = 0.00001; cLR = 0.005; and C = 0.5. The results of the Polynomial kernel are not much different from the Linear kernel which has a MAPE value of 21.83%. While the RBF and ANOVA kernels each produce a model with MAPE value of 24.49% and 22.0%. These results indicate that the SVR method with the kernels used can predict Ozone values quite well.

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 Effect of climate change in paddy production and adaptation strategies in Tharu communities of Dang district, Nepal

2018 ◽  
Vol 1 (1) ◽  
pp. 62-75
Author(s):  
Pradip Raj Poudel ◽  
Narayan Raj Joshi ◽  
Shanta Pokhrel
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Time Series Data ◽  
Sampling Technique ◽  
Adaptation Strategies ◽  
Primary Data ◽  
Series Data ◽  
Rice Varieties ◽  
Cross Sectional ◽  
Maximum Rainfall

A study on effects of climate change on rice (Oryza sativa) production in Tharu communities of Dang district of Nepal was conducted in 2018A.D to investigate the perception and major adaptation strategies followed by Tharu farmers. The study areas were selected purposively. Cross-sectional data was collected using a household survey of 120 households by applying simple random sampling technique with lottery method for sample selection. Primary data were collected using semi-structured and pretested interview schedule, focus group discussion and key informants interview whereas monthly and annual time series data on temperature and precipitation over 21years (1996-2016) were collected from Department of Hydrology and Meteorology, Kathmandu as secondary data. Descriptive statistics and trend analysis were used to analyze the data. The ratio of male and female was found to be equal with higher literacy rate at study area than district. Most of the farmers depended on agriculture only for their livelihood where there was large variation in land distribution. Farmers had better access to FM/radio for agricultural extension information sources. The study resulted that Tharu farmers of Dang perceived all parameters of climate. Temperature and rainfall were the most changing component of climate perceived by farmers. The trend analysis of temperature data of Dang over 21 years showed that maximum, minimum and average temperature were increasing at the rate of 0.031°C, 0.021°C and 0.072°C per year respectively which supports the farmers perception whereas trend of rainfall was decreased with 7.56mm per year. The yearly maximum rainfall amount was increased by 1.15mm. The production of local indigenous rice varieties were decreasing while hybrid and improved rice varieties were increasing. The district rice production trend was increasing which support the farmer’s perception. The study revealed that there were climate change effects on paddy production and using various adaptation strategies to cope in Dang district.

scholarly journals Financing profitability optimization: case study on sharia business unit of regional development banks in Indonesia

2019 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Jusni ◽  
Andi Aswan ◽  
Andi Reni Syamsuddin ◽  
Bayu Taufiq Possumah
Keyword(s):  
Regional Development ◽  
Time Series Data ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Profit Sharing ◽  
Series Data ◽  
Business Unit ◽  
Loan Default ◽  
Development Banks ◽  
Regional Development Banks

The study aims to examine the financing profitability optimization as recorded by Sharia Business Unit of Regional Development Banks (RDBs) in Indonesia. The profitability measured by Net Operating Margin (NOM) and predicted variables were tested with the ratio of Operational Cost to Operational Income (BOPO), Non-Performing Financing (NPF) and Profit Sharing Financing (PSF). On the basis of the literature review conducted, the study proposed five path coefficients to impact NOM, of which the constructed direct path to NOM was three and two for indirect paths. Time series data used were obtained from annual reports and publication reports. Using Pearson Correlation and Path Analysis, the study has found that BOPO, PSF, and NPF contributed to impact to NOM directly, and PSF impacted NOM indirectly through BOPO. Interestingly, PSF recorded a negative impact on NOM, suggesting inefficiency matters faced by SBU of RDBs not contributed from PSF. Another interesting finding, NPF was found insignificant to BOPO, indicating loan default is not a major matter for inefficiency issue, but could be a tight financing policy.

scholarly journals ANALISIS POTENSI SEKTOR BASIS DAN NON BASIS KOTA SABANG TAHUN 2013-2019

2020 ◽  
Vol 6 (1) ◽  
pp. 89-104
Author(s):  
Ferry Setiawan
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Quadrant Analysis ◽  
Location Quotient ◽  
Strong Growth ◽  
Aceh Province ◽  
Dynamic Location ◽  
Index Value ◽  
Regional Product

The success of a region in improving its economy can be measured by the growth of  Gross Domestic Regional Product (GDRP) from various existing sectors. This Gross Domestic Regional Product (GDRP) growth occurs if the region has a leading sector or a basic sector whose growth rate is relatively fast and has strong competitiveness and a non-basic sector that has the opportunity to become a basic sector if the local government is able to condition the opportunities that exist into an optimal result. This study uses secondary data obtained from the Central Statistics Agency (BPS) of Aceh Province in the form of time series data for 7 years, namely the 2013-2019 period. This research was conducted to identify the basic and non-basic sectors in the economic structure of the City of Sabang for the period 2013 - 2019 using the LQ (location quotient) analysis method, the Dynamic Location Quotient (DLQ) method, Shift Share Analysis, and quadrant analysis. 10 basic sectors with the highest average index value SLQ ≥ 1 and 7 sectors which are non-basic sectors with index numbers <1. In the quadrant analysis from the results of the existing Shift-Share calculations, there are 3 sectors in Quadrant I with fast and strong growth,3 sectors in Quadrant II with slow and strong growth, and 11 sectors in Quadrant III with fast growth but have weak competitiveness

scholarly journals Kluster Tanaman Pangan Unggulan di Provinsi Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Food Plants ◽  
Series Data ◽  
Food Crops ◽  
Food Crop ◽  
Land Area ◽  
Location Quotient ◽  
Central Java ◽  
Central Java Province

The food crop sector has an important role for regions in Indonesia. Food plants can be a determinant for an area in meeting the needs of the people in that area. In addition, the food crop sector, if developed, can become revenue for the region. This study aims to analyze the leading food plants in 35 districts / cities in Central Java Province. By using the location quotient (LQ) method and the Regional Specialization Index. The data used is time series data from 2014 to 2019 in 35 districts / cities in Central Java Province for food crops based on land area and production. The results obtained for the average LQ value of food crops based on land area, there are only 12 districts / cities which are the basis for superior food crops with Wonogiri Regency at the top. Meanwhile, based on the average LQ value based on production, only 11 districts / cities are the basis for superior food crops with Semarang Regency being the top. For the specialization index based on both land area and production, there is no Regency / City that specializes in Central Java Province.   Keywords: Foodcrop Sector, Location Quotient, Specialization Index, Central Java   Abstrak   Sektor tanaman pangan mempunyai peranan penting bagi daerah di Indonesia. Tanaman pangan dapat menjadi penentu bagi suatu daerah dalam memenuhi kebutuhan masyarakat yang ada di daerah tersebut. Selain itu, sektor tanaman pangan jika dikembangkan dapat menjadi pendapatan bagi daerah. Penelitian ini bertujuan untuk menganalisis tanaman pangan unggulan yang ada di 35 Kabupaten/Kota pada Provinsi Jawa Tengah. Dengan menggunakan metode location quotient (LQ) dan Indeks Spesialisasi Regional. Data yang digunakan adalah data time series selama tahun 2014 hingga tahun 2019 pada 35 Kabupaten/Kota di Provinsi Jawa Tengah untuk tanaman pangan berdasarkan luas lahan dan produksi. Hasil yang diperoleh untuk nilai rata – rata LQ tanaman pangan berdasarkan luas lahan, hanya terdapat 12 Kabupaten/Kota yang menjadi basis bagi tanaman pangan unggulan dengan Kabupaten Wonogiri berada di urutan teratas. Sementara berdasarkan nilai rata – rata LQ berdasarkan produksi, hanya 11 Kabupaten/Kota yang menjadi basis tanaman pangan unggulan dengan Kabupaten Semarang menjadi urutan teratas. Untuk indeks spesialisasi baik berdasarkan luas lahan dan produksi, tidak ada Kabupaten/Kota yang mempunyai spesialisasi terhadap Provinsi Jawa Tengah.   Kata kunci: Tanaman Pangan, Indeks Lokalisasi, Indeks Spesialisasi, Jawa Tengah

scholarly journals COMPARISON OF VILLAGE DEVELOPMENT BEFORE AND AFTER VILLAGE FUND IMPLEMENTATION IN NAGAN RAYA DISTRICT

2021 ◽  
pp. 18-35
Author(s):  
Arroyyan Ramly
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Primary Data ◽  
Series Data ◽  
P Value ◽  
Analysis Method ◽  
Effect Model ◽  
The Village

This study aims to analyze and see the effectiveness of the distribution of the use of village funds in Kuala Subdistrict, Nagan Raya Regency and its relationship with poverty levels. The data used is in the form of time series data from 2015 to 2018 which is collected through primary and secondary data. Primary data were obtained by directly visiting villages in the Kuala sub-district. Meanwhile, secondary data were obtained from the website of the Central Statistics Agency (BPS), document review, articles related to the object of research. This study conducted observations of 10 villages as a sample of 17 villages in Kuala District. The analysis method uses panel data regression with the random effect model (REM) analysis method. From the regression results of the random effect model, it was found that the village fund variable had a positive and significant effect on poverty with a probability of 0.0000 = p-value α = 5%. Then the village fund allocation variable has a significant negative effect on poverty with a probability of 0.0000 = p-value α = 5%. This means that adding 1% of village funds or increasing village funds will reduce poverty in Kuala Subdistrict, Nagan Raya Regency.

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