scholarly journals Relationship of The Economy and Investment Sector on The Implementation of Labor Central Sector of Central Java

2018 ◽  
Vol 5 (4) ◽  
pp. 453-459
Author(s):  
Rifa Atun Mahmudah
Keyword(s):  
Manufacturing Industry ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Final Demand ◽  
Central Java ◽  
Producer Prices ◽  
Relationship Of ◽  
Backward Linkages

This study aimed to analyze the linkages between sectors, multiplier and the investment sector’s role in increasing the amount of output and the amount of labor that can be absorbed in the economy in the Province of Central Java. This study used a quantitative approach with secondary data. The analytical tool used was the analysis of input-output tables Province of Central Java in 2013 primarily relies on domestic transactions table on the basis of producer prices. The results showed the role of economy based on the analysis forward linkages and backward linkages can be divided into leading sectors, growing sector, potential sectors and underdeveloped sector. Sectors with the highest output multiplier is the manufacturing sector. Sector with the highest labor multiplier is the agricultural sector. The results also showed that the leading sectors also have a growing sectors impact on the highest output and labor absorption of final demand investment, that is trade, hotels and restaurants; Manufacturing Industry; and agriculture. Increased investment will increase the value of output and an increase in output will increase employment. At last, investments have a positive relationship with employment.

scholarly journals IMPACT OF DIVIDEND PAYOUT ON FIRM’S PERFORMANCE UNDER LOW GROWTH OPPORTUNITIES

2021 ◽  
Vol 9 (3) ◽  
pp. 1156-1165
Author(s):  
Taymoor Ali ◽  
Muhammad Kashif Khurshid ◽  
Adnan Ali Chaudhary
Keyword(s):  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Financial Statements ◽  
Manufacturing Firms ◽  
Growth Opportunities ◽  
Dividend Payout ◽  
Relationship Of ◽  
The Relationship

Purpose of the study: The objective of the study was to investigate the relationship of the dividend payout on a firm's performance under low growth opportunities from the manufacturing sector of Pakistan. Methodology: A sample of 251 firms out of 378 manufacturing firms listed at the Pakistan Stock Exchange (PSX), have been carefully chosen for the era of ten years from 2006 to 2015. The secondary data was obtained from the firm’s web financials and analysis of financial statements, published by the statistics department of the State Bank of Pakistan. For the persistence of investigation panel data (fixed effect) analyses were employed in this study. Main Findings: The fallouts of the analysis revealed that the dividend payout ratio has an insignificant relationship with the firm's performance in the low growth perspectives of the study. Applications of this study: The findings of the study are helpful for the financial managers of the firms facing low growth opportunities. Furthermore, the investors in capital markets can use the findings of this while investing. The originality of this study: The study focussed on the role of low growth opportunities while studying the nexus of dividend pay-out and the firm’s financial performance which inherits the novelty and originality of the study.

scholarly journals Role of Machine Learning in Manufacturing Sector

2019 ◽  
Vol 8 (4) ◽  
pp. 2320-2328
Keyword(s):  
Machine Learning ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Applications Of Machine Learning ◽  
Relationship Of ◽  
The Impact ◽  
Maintenance Process

This paper discusses the basic concept Machine learning and its techniques, algorithms as well the impact of Machine Learning in Manufacturing processes and Industrial Production. There has been an unprecedented increase in the data available in the last couple of decades. This has enabled machine learning to be applied in various fields. Machine learning is field of study which enables the computer system to learn automatically as well as improve from experience and perform various tasks without explicit instructions. The primary aim of machine learning is to allow the computers learn automatically without human assistance or intervention and adjust actions accordingly It is being employed in many fields. Manufacturing one area where machine learning is very useful. This paper discusses the various areas where machine learning can improve the process of manufacturing like predictive maintenance, process optimisation, quality control, scheduling of resources among others. This can be done by employing various machine learning techniques and algorithms using concepts such as deep learning, neural networks, supervised, unsupervised and reinforcement learning. The relationship of how machines and humans can co-exist and work together to improve the efficiency of production is also discussed. Industry 4.0 or fourth revolution that has occurred in manufacturing which deals with advent of automation in manufacturing industry and its significance is discussed. We take a look at the various benefits and applications of machine learning in the field of manufacturing engineering. This paper also discusses the various challenges and future scope of employing machine learning in the manufacturing

scholarly journals ANALISIS SEKTOR-SEKTOR PEMBENTUK PDRB DAN PENENTUAN SEKTOR UNGGULAN DI WILAYAH KABUPATEN KEBUMEN

1970 ◽  
Vol 13 (1) ◽  
Author(s):  
Emma Dwi Ratnasari
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Location Quotient ◽  
Business Services ◽  
Growth Ratio ◽  
Services Sector ◽  
Central Java ◽  
Agriculture Industry ◽  
Typology Analysis

This study aims to analyze the forming of GRDP sectors in Kebumen, and determine which sectors are priorities to be developed in order to encourage economic growth Kebumen. The research uses descriptive analytical method, the data used are secondary data in the form of time series of GDP Kebumen and Central Java Province with the observation year 2005 to 2009. The analysis used is the analysis of LQ (Location Quotient), shift share, Typology Klassen, Model Growth Ratio (MRP), and Overlay. Results Analysis of Location Quotient (LQ) shows the basic sector in Kebumen is Mining and Quarrying sector, Agricultural sector, services sector and financial sector, Rental and Service, no visible shift of economic structure, where the primary sector is still a focus for regional income, Overlay analysis produced 5 seed sector, the Mining and Quarrying Sector, Agricultural Sector, Industry Sector, Finance, Ownership, and Corporate Services and Services, Klassen Typology analysis showed that the Mining and Quarrying sector and the services sector is a sector advanced and rapidly growing sector, Agriculture and Financial sectors, Renting and Business Services is an advanced but depressed sector, Manufacturing sector is a potential sectors / could still be developed, the analysis of the leading sectors that need to be developed namely Services sector. Based on the analysis in this study, several suggestions can be presented as follows: Kebumen district must give priority to the services sector with a competitive advantage as well as specialization without having to neglect other sectors. Need to develop co-operation of Agriculture, Industry and Services are intensive and sustainable.

scholarly journals The Role of Manufacturing Industrial Activity in the Environmental Pollution in South Sulawesi

2015 ◽  
Vol 7 (2(J)) ◽  
pp. 116-123
Author(s):  
Tri Astuti
Keyword(s):  
Environmental Economic ◽  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Input Output ◽  
Economic Activities ◽  
South Sulawesi ◽  
Industrial Sectors

Deteriorating environmental conditions can be a hindrance in creating a sustainable economic development so that necessary concern of all parties. The study aims to identify the industrial sectors causing the heaviest pollution and to confirm the environmental economic theories applicable to the condition in South Sulawesi. The study objects are the economic activities in South Sulawesi as summarized in the I-O table transactions. The data used are secondary data of the income per capita and of environmental pollution, table I-O of South Sulawesi in 2010, and the IPPS standard of pollution intensity estimate, and cost coefficient for pollution eradication. The tools used are conventional input-output, environmental input-output, and trend analyses. The reveals that the chemical and metal manufacturing industry sectors are the primary causes of severe pollution in South Sulawesi in 2010 and the environmental economic cases tend to comply with Hypothesis Haven. This research is an academic study limited only to investigate the role of economic activities in industrial manufacturing sector so that further study can be foccused on the role of the whole activities of the economic sector in the environmental pollution.

scholarly journals ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

2020 ◽  
Vol 3 (2) ◽  
pp. 140-157
Author(s):  
Ni Putu Andini Desiyanti L
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Input Output ◽  
Water Sector ◽  
Agriculture Sector ◽  
Multiplier Effect ◽  
Backward Linkages ◽  
The Impact ◽  
The Relationship

The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors.

scholarly journals ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

2017 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Retno Febriyastuti Widyawati
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Input Output ◽  
Water Sector ◽  
Output Analysis ◽  
Agriculture Sector ◽  
Multiplier Effect ◽  
Backward Linkages ◽  
The Impact

Abstrak: Analisis Keterkaitan Sektor Pertanian dan Pengaruhnya Terhadap Perekonomian di Indonesia (Analisis Input Output). Sektor pertanian masih menjadi andalan penciptaan lapangan pekerjaan dalam jumlah yang cukup besar dibandingkan dengan sektor-sektor lainnya dalam perekonomian di Indonesia. Hal ini menjadikan peluang sektor pertanian dalam pengaruhnya terhadap perekonomian di Indonesia. Artikel ini bertujuan untuk meneliti keterkaitan ke depan dan ke belakang sektor pertanian dengan sektor-sektor lain di Indonesia dan meneliti dampak dari angka pengganda sektor pertanian. Analisis yaitu Input-Output dengan data sekunder Input-Output Indonesia 2010. Hasil menunjukkan bahwa sektor industri pengolahan dan sektor listrik, gas, air bersih memiliki keterkaitan ke depan terhadap sektor pertanian. Selanjutnya, sektor listrik, gas, air bersih; dan sektor bangunan memiliki keterkaitan ke belakang terhadap sektor pertanian. Hasil pengganda output sektor pertanian memiliki dampak pengganda output yang lebih rendah dibandingkan sektor lainnya, sedangkan pengganda pendapatan rumah tangga dan kesempatan kerja memiliki dampak pengganda yang lebih besar dibandingkan sektor lainnya. Kata Kunci: Pertanian, Input-Output, Keterkaitan, Angka Pengganda Abstract: Linkage Analysis of Agricultural Sector and Effect on the Economy in Indonesia (Input-Output Analysis). The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors. Keywords: Agriculture, Input-Output, Linkages, Multiplier Effect

scholarly journals PERANAN SEKTOR PERTANIAN TERHADAP PEREKONOMIAN DI KOTA BITUNG

2021 ◽  
Vol 17 (2) ◽  
pp. 111
Author(s):  
Gustafito J.M. Wehantouw ◽  
Oktavianus ., Porajouw ◽  
Melissa L.G. Taroreh
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Tabular Form ◽  
Processing Industry ◽  
North Sulawesi ◽  
Central Statistics

The research aims to describe the role of the agricultural sector in the economy in Bitung City from 2010 to 2019. The study was conducted for 3 months from June 2020 to September 2020. The type of data used in this study is secondary data obtained from the Central Statistics Agency (BPS) of Bitung City, namely in the form of GRDP of Bitung City and North Sulawesi Province for the period 2010 to 2019. Supporting data is in the form of other secondary data relevant to this study. The data collected were analyzed descriptively and presented in tabular form. The results showed that the contribution of the agricultural sector to the GRDP of Bitung City in 2019 was 16.6 percent, although it has decreased since 2010 by 17.8 percent, but the agricultural sector still ranks second after the manufacturing sector with a contribution of 32.84 percent in in 2019. The growth of the agricultural sector, although fluctuating, tends to increase from 6.33 percent in 2012 to 9.06 percent in 2019. The LQ value of the agricultural sector, even though it was less than one in 2019, was 0.85, but continues to increase compared to last year. 2010 amounted to 0.75, and the agricultural sector, especially the capture or fishing fisheries sub-sector, is the exporting sector to other districts / cities in North Sulawesi Province. Based on the results of this study, it can be concluded that the agricultural sector has an important role in the economy of Bitung City, because this sector is not only an exporting sector, especially the capture fisheries sub-sector, but also as a provider of raw materials for the processing industry in Bitung City.

scholarly journals Ecossistemas de inovação das universidades federais brasileiras: um mapeamento dos núcleos de inovação tecnológica, incubadoras de empresas de base tecnológica e parques tecnológicos

2019 ◽  
Vol 7 (3) ◽  
pp. 341-358
Author(s):  
Rafael Morais Pereira ◽  
Humberto Rodrigues Marques ◽  
Rodrigo Gava
Keyword(s):  
Technological Innovation ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Innovation Systems ◽  
Simple Linear Regression ◽  
Technological Structure ◽  
Technology Parks ◽  
Relationship Of ◽  
The Relationship

Technological innovation as an engine for development requires a structural apparatus to its consolidation, reinforcing the approach of innovation systems, with emphasis on the role of universities. Therefore, considering that associated with this potential are present several innovative elements, such as the Technological Innovation Centers (NITs), the incubators of technology-based companies (IEBTs) and Technology Parks (ParqTecs), and given the lack of systematization National these instruments, the ultimate goal of this study was to analyze the environment for innovation in Brazilian federal universities, through the mapping of NITs, the IEBTs and ParqTecs associated with these institutions, further outlining the relationship of these instruments with technological variables (technological scholarships and patents). We used a qualitative and quantitative approach, descriptive nature, with collection of secondary data on institutional sites of universities and the adoption of simple linear regression analysis. The results realized all 63 Brazilian federal universities and revealed that the most widespread instrument between universities are the NITs, since its presence in 86% of the analyzed institutions. Have business incubators, idealized to strengthen interaction in innovation systems, are associated with 68% of universities, enabling regional development contexts. In relation to technology parks, it was found that, depending on the expenditure required for its implementation, only 26 universities are integrated into ParqTecs. The contributions of this study are concentrated in addition to the mapping done in highlighting the distinctions between the Brazilian regions in terms of scientific and technological structure and the importance of innovation ecosystems.

scholarly journals Family knowledge of population issues

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Mujahidatul Musfiroh ◽  
Retno Setyowati ◽  
Yeremia Rante Ada ◽  
Sholahuddin Sholahuddin ◽  
Najib Najib
Keyword(s):  
Secondary Data ◽  
Educational Institutions ◽  
Family Welfare ◽  
Development Programs ◽  
Youth Organizations ◽  
Central Java ◽  
The Family ◽  
Program Accountability ◽  
Central Java Province

Background: The population growth rate of Central Java Province is considerably above the ideal. Therefore, the Provincial and Regional Governments need to carefully plan the development programs by analyzing the family knowledge of population issues. This study aims to determine the family knowledge of population issues.Design and Methods: This research used the secondary data analysis (SDA) method. The data were taken from the 2019 Performance and Program Accountability Survey (SKAP) of the Population of KKBPK (Population of Family Planning and Family Development), Central Java Province. The data included in the 2019 SKAP Keluarga on population issues will be analyzed using descriptive quantitative analysis.Results: According to the research data, 51.5% of respondents understood population issues. The commonly recognized issues are unemployment (95.5%), employment (97.1%), and poverty (97.1%). The source of information widely used by respondents is the television (91.9%). Additionally, officers or communities that provide abundant information about population issues are friends, neighbors, and relatives (72.8%). Furthermore, formal educational institutions, including schools (47.8%), and community organizations (youth organizations, PKK/Family Welfare Program, Integrated Health Service Post, and religious organizations) (49.6%) provided information.Conclusions: In conclusion, efforts to increase the knowledge about population issues can be done by optimizing the function of television, close circles, the role of formal educational institutions and social organizations.

Model Penguatan Subak di Era New Normal: Analisis Peran Collective Action pada Penerapan Sistem Terintegrasi Itik Padi di Tabanan-Bali

2020 ◽  
Vol 5 (5) ◽  
pp. 167
Author(s):  
Nyoman Utari Vipriyanti ◽  
Dewa Ayu Puspawati ◽  
Putu Lasmi Yulianthi Sapanca ◽  
Made Emy Handayani Citra
Keyword(s):  
Collective Action ◽  
Private Sector ◽  
Rural Economy ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Integrated System ◽  
Primary Data ◽  
New Normal ◽  
The Government

The Covid 19 pandemic has brought significant changes to the economy of Bali as a domestic and foreign tourist destination. The tourism sector, as the main contributor to the largest contributor to Gross Regional Domestic Product (GRDP), experienced a contraction, which had an impact on other sectors. One of the sectors affected in the agricultural sector, especially the marketing of food products. In the new normal era in Bali, it is necessary to strengthen the rural economy through the application of technology but the process of implementing these innovations is not always successful. The success of collective action is determined by the rational boundaries of society. The rational boundaries of society can be expanded by the presence of symmetrical information. The research objective was to analyze the role of collective action on the application of the Integrated System of Rice Ducks as an effort to increase farmers' income. This research is a case study in Subak Lanyah, Tabanan Sub District, Tabanan-Bali District. Primary data were collected through direct observation and questionnaires while secondary data were collected through literature studies. Analysis of the role of collective action in the application of the integrated system of rice ducks (STIP) was carried out statistically descriptive of farm costs and farmer income. The results showed that the STIP innovation as an effort to increase farmers' income was successfully implemented through Collective action. The collective action mechanism plays a role in strengthening social capital which encourages the application of STIP technology so that the income of Subak member farmers in Subak Lanyah, Tabanan-Bali increases. The success in implementing STIP technology is done by building a process of communication, trust, and networks of farmers with the government, private sector, and universities.of communication, trust, and networks of farmers with the government, private sector, and universities.

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