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MODEL PERSAMAAN STRUKTURAL UNTUK MENGKAJI PENGARUH MODAL SOSIAL MELALUI DIMENSI ORIENTASI KEWIRAUSAHAAN TERHADAP KESEJAHTERAAN MASYARAKAT DI KABUPATEN JEMBRANA, BALI Gandhiadi, G. K; Dharmawan2, Komang; Sari, Kartika
Prosiding Seminar Nasional MIPA 2015: PROSIDING SEMINAR NASIONAL MIPA UNDIKSHA 2015
Publisher : Prosiding Seminar Nasional MIPA

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Penelitian tentang modal sosial yang melibatkan variabel laten telah berkembang pesat, namun tetap memunculkan pertanyaan tentang peran modal sosial di masyarakat khususnya dalam hubungannya dengan kesejahteraan. Variabel laten tersebut dapat diukur melalui indikator-indikator yang menjelaskannya, dapat dianalisis dengan menggunakan Structural Equation Modeling (SEM) atau Pemodelan Persamaan Struktural. Premis dasar obyek penelitian ini adalah modal sosial dipandang sebagai faktor produktif yang memberikan manfaat bagi setiap individu dan mampu menjalin hubungan dengan individu lainnya. Penekanan di bidang ilmu matematika terhadap obyek penelitian ini adalah mengkaji model atau hubungan antara peran modal sosial melalui orientasi kewirausahaan bagi kesejahteraan masyarakat (pelaku UMKM) di Kabupaten Jembrana. Sampel yang diambil sebanyak 80 pelaku UMKM, menggunakan purposive random sampling (disengaja) dengan mempertimbangkan indikator modal sosial dan pembangunan ekonomi di wilayah Kabupaten Jembrana. Pengolahan dan analisis data dilakukan dengan bantuan software Smart PLS. Hasil penelitian mendapatkan bahwa model persamaan struktural untuk variabel modal sosial dengan komponen formatif trust, norms, dan network adalah,Modal Sosial = 0.456* trust +0.484* norms + 0.322*network + dengan R2 = 0.999.Sedangkan model persamaan struktural untuk variabel kesejahteraan dengan komponen variabel (variable antara) yaitu keinovasian (Inov), keproaktifan (Proaktif), dan pengambilan keputusan/resiko (Resiko), dengan premis modal sosial adalah,Kesejahteraan = -0.391*Inov + 0.135*Proaktif + 0.210*Resiko + dengan R2 = 0.118.Secara umum diperoleh bahwa modal sosial melalui semua dimensi orientasi kewiraushaan secara total tidak berpengaruh signifikan terhadap kesejahteraan pelaku UMKM (masyarakat) di Kabupaten Jembrana. Akan tetapi secara langsung modal sosial berpengaruh signifikan terhadap semua dimensi orientasi kewirausahaan, sehingga dapat disarankan kepada instansi terkait di Kabupaten Jembrana agar mengoptimalkan peran modal sosial dalam merancang strategi pembangunan ekonomi bagi pelaku UMKM yang memberikan nilai tambah outcome untuk meningkatkan kesejahteraan masyarakat.Kata kunci: Structural Equation Modeling (SEM,) modal sosial, orientasi kewirausahaan, kesejahteraan

Model Struktural Faktor-Faktor Berpengaruh Terhadap Kinerja Badan Usaha Milik Desa di Kabupaten Jembrana, Bali G K Gandhiadi; I Putu Eka N Kencana
Jurnal Matematika Vol 10 No 1 (2020)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2020.v10.i01.p118

One of the efforts to develop the rural economy is the establishment of economic institutions such as Village-Owned Enterprises (BUMDes) which are supported by the role of the local government and are based on the wishes of the village community. This BUMDes is expected to be able to increase market demand based on proper management of the existing village potential. Through cooperative behavior (social capital), synergy and a good entrepreneurial orientation in BUMDes managers and the positive role of the government it is hoped that there will be an increase in BUMDes business performance in Jembrana Regency. The purpose of this study is to comprehensively analyze the role of government and social capital of business managers through entrepreneurial orientation towards BUMDes business performance in Jembrana Regency. The basis of multivariate analysis used is Structural Equation Modeling (SEM). Through a research sample of 90 respondents from BUMDes managers in Jembrana Regency, the results are obtained: (1) social capital and the role of government directly have a positive but not significant effect on business performance, while entrepreneurial orientation has a positive and significant effect on business performance, and (2) social capital and the role of the government in a total positive and significant effect and require full mediation (full mediation) through entrepreneurial orientation to the business performance of BUMDes in Jembrana Regency, Bali.

Optimalisasi Harga Penjualan Perumahan dengan Metode Goal Programming (Studi Kasus: Golden Gindi Residence Kota Bima Nusa Tenggara Barat) Lilik Ika Rahmawati; G. K. Gandhiadi; Ni Made Asih
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p38

This research aims to determine the minimum selling price of each type of house using the method of goal programming, so that the developer get profit in appropriate with the targets set. Goal Programming method is one of the method of solving linear programming to solve the problems that include multiple targets. The result of the research showed: (1) the minimum salling price type of house 36/150 is Rp. 56.371.450,-; (2) type 45/150 is Rp. 77.261.250,-; (3) type 52/150 is Rp. 84.221.445,56. To calculate monthly installment purchase of a home within 5 years and 10 years using Capital Recovery Factor (CRF) method with annual interest of 11.5%. In order to obtain the amount of monthly loan installments within 5 years with 60 time installments for the type 36/150 is Rp. 930.250 , type 45/150 is Rp. 1.275.000 and type 52/150 is Rp. 1.389.800. By using the same method obtained the amount of monthly installments within 10 years with 120 installments for the type 36/150 is Rp. 549.900, type 45/150 is Rp. 815.300 and type 52/150 is Rp. 888.800 . Optimal selling price obtained was lower than the selling price from the developer, so the developer need to consider again the results obtained for the salling price of homes. The calculation of credit installments depending on the amount of interest and repayment period, so not become burden for the customers.

Perancangan Kontrol Optimal pada Model Matematika Bioekonomik G.K. Gandhiadi
Jurnal Matematika Vol 4 No 1 (2014)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2014.v04.i01.p43

This paper shows the initial research about the design of optimal investment policy of the public company in resource conservation, by using optimal control model. The mathematical bioeconomics model in using of mathematical modeling for resource conservation is a dynamics problem. The successfull of resource conservation management must fully take account of the time dimension for sustained equilibrium bioeconomics. The design of a dynamic optimization model is solved by optimal control strategy via maximum principle Pontryagin of Hamiltonian expressi. We have the conclusion that the optimization of present value for resource conservation very dependent of time domain, how long stock optimal can be sustained for is given initial stock.

Identification of Internal Factor Affecting Tourism Business Performance in Jembrana Regency of Bali G K Gandhiadi; Eka N Kencana
Jurnal Matematika Vol 9 No 1 (2019)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2019.v09.i01.p110

Abstract : The tourism industry in Jembarana Regency of Bali is currently still hobbling. His contribution to the Jembrana Regional budget is still very minimal. Indeed accessibility to tourist destinations in Jembrana is often an obstacle for tourists, but internal factors that affect the performance of Jembrana tourism businesses are very important to be studied and analyzed, especially for tourism businesses actors and the role of government of the Jembrana Regency. Internal factors in tourism business are strongly influenced by the capacity of social capital, entrepreneurial culture of tourism actors and the role of the government in the development of tourism business. Based on a survey and structured interviews on 75 tourism entrepreneurs in Jembrana Regency of Bali, modeling by SEM-PLS with the help of Smart PLS 3.0 software, the results obtained are: (1) structural equation model has met the appropriate qualifications, the measurement model obtained is valid and reliable, while the structural model is quite good, (2) the performance of tourism businesses in Jembrana Regency is positively and significantly influenced by orientation entrepreneurship and the role of government but insignificant influence on social capital, and (3) internal factors that affect the performance of tourism businesses in Jembrana Regency of Bali; sequentially are: entrepreneurial orientation of business people, the role of government in tourism development, and finally the capacity of social capital owned by tourism entrepreneurs. Key Words: Social Capital, Entrepreneurial Orientation, Role of Government, Tourism Business Performance

Optimalisasi Harga Penjualan Perumahan dengan Metode Goal Programming (Studi Kasus: Golden Gindi Residence Kota Bima Nusa Tenggara Barat) Lilik Ika Rahmawati; G. K. Gandhiadi; Ni Made Asih
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

This research aims to determine the minimum selling price of each type of house using the method of goal programming, so that the developer get profit in appropriate with the targets set. Goal Programming method is one of the method of solving linear programming to solve the problems that include multiple targets. The result of the research showed: (1) the minimum salling price type of house 36/150 is Rp. 56.371.450,-; (2) type 45/150 is Rp. 77.261.250,-; (3) type 52/150 is Rp. 84.221.445,56. To calculate monthly installment purchase of a home within 5 years and 10 years using Capital Recovery Factor (CRF) method with annual interest of 11.5%. In order to obtain the amount of monthly loan installments within 5 years with 60 time installments for the type 36/150 is Rp. 930.250 , type 45/150 is Rp. 1.275.000 and type 52/150 is Rp. 1.389.800. By using the same method obtained the amount of monthly installments within 10 years with 120 installments for the type 36/150 is Rp. 549.900, type 45/150 is Rp. 815.300 and type 52/150 is Rp. 888.800 . Optimal selling price obtained was lower than the selling price from the developer, so the developer need to consider again the results obtained for the salling price of homes. The calculation of credit installments depending on the amount of interest and repayment period, so not become burden for the customers.

Penentuan Lokasi SMP Baru di Kabupaten Klungkung dengan Algoritma Fuzzy Subtractive Clustering I Gede Oka Artawan; G.K. Gandhiadi; Tjokorda Bagus Oka
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2013.v03.i02.p36

The aim of this paper is to determine a new location of junior high school at Klungkung, using Fuzzy Subtractive Clustering Algorithm. The new location of the junior high school is depending on the graduate number of elementary school, the distance between location of candidates, and distance between the candidates’ location and existing junior high school. To measure the distance, it is used an Euclidean distance. At the beginning of calculation, the locations of elementary schools are used as the location candidates. Then, the density value of each location candidates is calculated using Fuzzy Subtractive Clustering Algorithm. The location candidate which has the highest density will be chosen to become a starting location. The results of calculation show that the location candidate at 8°32'5.70"S, 115°24'20.64"E has the highest density value, it is at SD Negeri 1 Semarapura Kangin. So the location for the new junior high school is at around SD Negeri 1 Semarapura Kangin.

Indikator Kesejahteraan di Provinsi Bali: Suatu Pendekatan Analisis Biplot I Komang Gde Sukarsa; I G K Gandhiadi
Jurnal Matematika Vol 10 No 1 (2020)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2020.v10.i01.p120

The goal of this reseach is to get the representation of welfare in Bali province based on the indicators represented by People Development Indexs (PDI). PDI is the indexs is a latent variable that can not be measured like measurement variable, so to measure PDI have to be measure by several indicators. In tgeneral, PDI is measured by three indicators that is a long and Healthy life as the Health Indicators, Education Indicators and decent standard of living as Economic Indicators. In Practice, Health Indicators is measured by mean expectation of life. Mean of long school and expectation of long school are measurement of Education Indicators. Whereas Economic Indicators is represented by purchasing power parity. In Staistics methods, to represent or analize multivariate variable there are many methods can be used. One of the methods is Biplot. In Biplot analysis we can represent information about row matrix and coloum matrix simultaneous. In this cases we can get information about object ( 9 districs or city in Bali) and Welfare Indicators represented by PDIsimultanous. The result of biplot analysis in this research is two dimension graphic that represent Euclid distance of object and correlation of indicators so that we can get information of the grouping of object and the characteristic variables of the certain group.

Geographically Weighted Ridge Regression dalam Kasus Multikolinearitas Pada Indeks Pembangunan Manusia di Kabupaten/Kota Provinsi Jawa Timur Yani Arthayanti; I Gusti Ayu Made Srinadi; G.K. Gandhiadi
Jurnal Matematika Vol 7 No 2 (2017)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2017.v07.i02.p89

Linear Regression Analysis is a statistical method for modeling relation between two variable, response and explanatory variable. Geograpically Weighted Regression (GWR) is the development of linier regression analysis if the case of spatial divers case. Local multicollinearity is a condition when explanatory variables had correlated with each observation location. Geograpically Weighted Ridge Regression (GWRR) is a method used to model data containing local multicollinearity on spatial data. GWRR model was developed from ridge regression by adding weight as additional information. The study aims to model spatial data containing local multicollinearity to the Human Development Index (HDI) in the districts/municipalities of eastern Java Province in 2015. The result of this study was indicate that the indicator of the average length of school is a dominant indicator that affects HDI.

Penentuan Lokasi SMP Baru di Kabupaten Klungkung dengan Algoritma Fuzzy Subtractive Clustering I Gede Oka Artawan; G. K. Gandhiadi; Tjokorda Bagus Oka
Jurnal Matematika Vol 3 No 2 (2013)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

The aim of this paper is to determine a new location of junior high school at Klungkung, using Fuzzy Subtractive Clustering Algorithm. The new location of the junior high school is depending on the graduate number of elementary school, the distance between location of candidates, and distance between the candidates’ location and existing junior high school. To measure the distance, it is used an Euclidean distance. At the beginning of calculation, the locations of elementary schools are used as the location candidates. Then, the density value of each location candidates is calculated using Fuzzy Subtractive Clustering Algorithm. The location candidate which has the highest density will be chosen to become a starting location. The results of calculation show that the location candidate at 8°32'5.70"S, 115°24'20.64"E has the highest density value, it is at SD Negeri 1 Semarapura Kangin. So the location for the new junior high school is at around SD Negeri 1 Semarapura Kangin.

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