scholarly journals Modelling Sustainable Urban Transport Performance in the Jakarta city Region: A GIS Approach

2019 ◽  
Vol 11 (7) ◽  
pp. 1879
Author(s):  
Puji Adiatna Nadi ◽  
AbdulKader Murad
Keyword(s):  
Urban Transport ◽  
Least Square ◽  
Future Trends ◽  
City Region ◽  
Gis Application ◽  
Ordinary Least Square ◽  
Gis Applications ◽  
Medium Level ◽  
Geographic Weighted Regression ◽  
The City

Measuring performance of Sustainable Urban Transport is an important effort to face the challenges of future trends. This study used Geographic Information System (GIS) application for modelling the performance of Sustainable Urban Transport (SUT) in the Jakarta city Region (JCR). The GIS applications include identifying the existing performance of SUT in Jakarta city, exploring the relationships between indicators of SUT, and producing a prediction model of SUT. Research methods used in this study were GIS techniques with geo-reference, classifications, polygon to raster, re-classifications, sum-weighted, ordinary least square (OLS), exploratory regression, and geographic weighted regression (GWR). The results revealed that the SUT model have more capability in measuring the performance of SUTs spatially and simply. This model is to visualize the effect of the indicator on the SUT performance and its influence, respectively. The results of this study also discovered that the JCR’s Sustainable Urban Transport Performance was in medium level. The outputs of this modelling were useful for evaluating the level of SUT performances in the city based on districts area. Overall, this study provides valuable information on the SUT performance of the JCR, also highlights some important challenges faced in the future of SUT program development.

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.

scholarly journals PENGARUH KOMPETENSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN

2020 ◽  
Vol 3 (1) ◽  
pp. 58-67
Author(s):  
Yadi Maryadi ◽  
Yulia Misrania
Keyword(s):  
Regression Coefficient ◽  
Employee Performance ◽  
Regression Equation ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Hotel Employees ◽  
Independent Variable ◽  
The City

This study aims to determine the effect of Competence and Compensation on Employee Performance (Case Study on Hotel Employees in the city of Pagar Alam). By using primary data and secondary data, this research uses the Ordinary Least Square method. The results of this study are the findings of the influence of Compensation and Compensation on Employee Performance (Case Study on Hotel Employees in the City of Pagar Alam) can be explained as follows. Based on the Regression analysis in the table above, the constant value α = 38,868 and coefficient b1 =. 083 and b2 = .396, so that the multiple linear regression equation is: Y = 38.868+ 0.083X1 + 0.396X2. The regression equation that has been obtained can be used to predict the value of the independent variable and the dependent variable, as follows: A constant value of 38,868 means that if all independent variables are zero, then the performance of hotel clerks in the city of Pagar Alam is valued at 38,868. Competence (X1) has a regression coefficient of .083 meaning that each increase in Competency by 1 unit then the performance of hotel employees increases by .083 assuming the other factors remain. Compensation (X2) has a regression coefficient of .396 meaning that each increase in compensation is 1 unit, the performance of hotel employees increases by .396. From the determination coefficient table above, it can be seen that the R Square figure is 0.931. This means that the influence between the independent variables with the dependent variable is 93.1% while the remaining 6.9% is influenced by other factors outside the regression model analyzed. From these figures it can be concluded that the influence of the independent variable with the dependent variable is very strong.   Penelitian ini bertujuan untuk mengetahui pengaruh Kompetensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam). Dengan menggunakan data primer dan data skunder penelitian ini menggunakan metode Regresi Linear Sederhana (Ordinary Least Square). Adapun hasil Penelitian ini adalah Hasil temuan mengenai pengaruh Komptensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam) dapat dijelaskan sebagai berikut. Berdasarkan analisis Regresi pada tabel diatas didapatkan  nilai konstanta α = 38.868 dan koefisien b1 = . 083  dan b2 = .396, sehingga persamaan regresi linier berganda adalah :  Y =  38.868+ 0.083X1 + 0.396X2. Persamaan regresi yang telah diperoleh dapat dipergunakan untuk memprediksi nilai variabel independen dan variabel dependen yaitu sebagai berikut : Nilai konstanta sebesar 38.868 artinya bahwa jika semua variabel independen benilai nol, maka kinerja kayawan hotel di kota Pagar Alam bernilai sebesar 38.868. Kompetensi (X1) mempunyai koefisien regresi sebesar .083 artinya setiap kenaikan Kompetensi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .083 dengan asumsi faktor-faktor yang lain tetap. Kompensasi (X2) mempunyai koefisien regresi sebesar .396 artinya setiap kenaikan kompensasi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .396. Dari tabel koefisien determinasi di atas, dapat dilihat bahwa angka R Square sebesar 0.931. Hal ini berarti pengaruh antar variabel independen dengan variabel dependen sebesar 93,1% sedangkan sisanya sebesar 6,9% dipengaruhi oleh faktor-faktor lain di luar model regresi yang dianalisis. Dari angka tersebut dapat diambil kesimpulan bahwa pengaruh antara variabel independen dengan variabel dependen sangat kuat.

scholarly journals ANALISIS FAKTOR - FAKTOR YANG MEMPENGARUHI HARGA TANAH UNTUK PENGGUNAAN PERUMAHAN (STUDI KASUS: KECAMATAN BANYUMANIK)

2017 ◽  
Vol 5 (1) ◽  
pp. 57
Author(s):  
Triana Kurniwati ◽  
Bagio Mudakir
Keyword(s):  
Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Least Square Method ◽  
Research Area ◽  
Least Square ◽  
City Center ◽  
Land Price ◽  
Ordinary Least Square ◽  
The City

Semarang city is densely populated that demand of settlement will increase continually, but land in city center is very limited and even it is scarce, therefore the land price which is placed in city center is high. That is why many inhabitant of Semarang city prefer to live in outskirts of the city. The shifting of land demand to the outskirts is also followed by increasing of land price in outskirts, it causes the land price in outskirts is uncontrolled.The research takes location in Banyumanik area. This research area consists of 7 districts, that are Jabungan, Pudak Payung, Banyumanik, Srondol Kulon, Pedalangan, Ngesrep, and Gedawang district. The sample total is one hundred (100). The data is analyzed by using multiple linear regression model with ordinary least square method (OLS).

scholarly journals GEOGRAPHY MATTERS IN ONLINE HOTEL REVIEWS

2016 ◽  
Vol XLI-B2 ◽  
pp. 573-576
Author(s):  
Mingshu Wang ◽  
Xiaolu Zhou
Keyword(s):  
San Francisco ◽  
Spatial Dependence ◽  
Spatial Model ◽  
Management Strategies ◽  
Least Square ◽  
Best Linear Unbiased Estimator ◽  
Ordinary Least Square ◽  
Best Linear Unbiased ◽  
Antecedents And Consequences ◽  
The City

In resonance with the popularity of user-generated contents (UGC) and the volunteered geographic information (VGI), this study crowdsourced 77,098 hotel reviews of 220 hotels provided by U.S. reviewers in the city of San Francisco, 2002 to 2015. In this exploratory analysis, we have revealed that there is spatial dependence of customer satisfaction at different locations (of hotels), which violates the assumption that ordinary least-square (OLS) is the best linear unbiased estimator (BLUE); therefore, spatial model might be required for analysing any antecedents and consequences of such phenomena. These results have implications in marketing and management strategies.

Analisa Respon Masyarakat Muslim Kota Medan Terhadap Asuransi Syariah

2018 ◽  
Vol 1 (1) ◽  
pp. 399
Author(s):  
Yudi Setiawan
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Primary Data ◽  
Muslim Community ◽  
Insurance Agents ◽  
Ordinary Least Square ◽  
The People ◽  
Muslim Communities ◽  
Islamic Insurance ◽  
The City

The purpose of this study was to see the general public's response to insurance in Medan. The variables used in this study are service variables, income and the response of the people of Medan City. The data used in this study are primary data through direct interviews and questionnaires with a sample of 100 respondents spread across 4 sub-districts of Medan City, namely Medan Kota sub-district, Medan Petisah sub-district, Medan Tembung sub-district and Medan Denai sub-district. While the data analysis techniques of this study are multiple regression with the Ordinary Least Square method. The results show that the service and income variables significantly influence both simultaneously and partially on the response of the Medan City Muslim community in Islamic insurance. The results also show that service and income variables can explain the response of the Medan City Muslim community as much as 65.6% while the remaining 34.4% is explained by other factors. The need for education and socialization of sharia insurance and also the increasing professionalism of sharia insurance agents is the solution so that the response of Muslim communities increases especially in the city of Medan.

Understanding the determinants of festival attendee spending: the role of cultural capital

2020 ◽  
Vol 11 (2) ◽  
pp. 145-159 ◽  
Author(s):  
Andrea Báez-Montenegro ◽  
María Devesa
Keyword(s):  
Cultural Capital ◽  
Regression Models ◽  
Least Square ◽  
Tobit Regression ◽  
Content Type ◽  
Ordinary Least Square ◽  
The City ◽  
Practical Implications

PurposeThe purpose of this paper is to explore which factors determine visitor spending at a cultural festival, focusing particularly on cultural capital variables.Design/methodology/approachThe case study is the Valdivia International Film Festival. Data from a survey conducted amongst a representative sample of attendees at the festival is used and ordinary least square (OLS) and Tobit regression models are applied.FindingsSix of the variables included from the model prove statistically significant: gender, age, place of residence, participation in other activities at the festival, and “leisure and sharing” motivation.Practical implicationsFestival organisers should draw up a programme and prepare activities that are balanced so as to attract local film lovers, but that should also appeal to outside visitors, who would see the festival as an opportunity to enjoy a wider tourist experience, all of which would have a broader economic impact on the city.Originality/valueUnderstanding which factors determine spending leads to an improvement in the event's viability and ensures its future sustainability. This study adds to the growing literature establishing a sound theoretical corpus on the topic.

scholarly journals ANALISIS PRODUKSI SAYURAN DALAM RANGKA PEMENUHAN KONSUMSI SAYURAN DI KOTA PEKANBARU PROVINSI RIAU

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Elinur Djaimi
Keyword(s):  
Percent Level ◽  
Estimation Method ◽  
Least Square ◽  
Policy Implications ◽  
Dominant Factor ◽  
Vegetable Production ◽  
Ordinary Least Square ◽  
Multi Stage ◽  
The Government ◽  
The City

Demand vegetables in the city of Pekanbaru increased, but relatively similar vegetable production and a tendency to decline. This study aimed to analyze the dominant factors that determine the production of vegetables and return to scale of vegetables in Pekanbaru. Sampling metode was multi-stage random sampling with a sample of 44 vegetable farmers. The production function used is function cobb douglas with the estimation method  Ordinary Least Square (OLS). Results of this researh revealed that, first: The dominant factor affecting vegetable production is labor, seed and fertilizer urea at 5 percent level of convidence and determination coefficient of 93.40 percent. Second, return to scale of vegetable farming was Decreasing Return to Scala (DRTS). This means that if the factorsof production increased by 1 percent, the production of vegetables will increase by 0.985 percent. Third, the policy implications that must be done by the government in order to meet the demand of vegetables for the city of Pekanbaru made efforts to increase intensification.

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

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Lisa Irma Abigael Lebang ◽  
Debby Ch. Rotinsulu ◽  
George M.V. Kawung
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Government Expenditure ◽  
Coconut Oil ◽  
Private Investment ◽  
Least Square ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
Analysis Technique ◽  
The City

ANALISIS PENGARUH PENGELUARAN PEMERINTAH DAN INVESTASI SWASTA TERHADAP PERTUMBUHAN EKONOMIDI KOTA BITUNG Lisa Irma Abigael Lebang, Debby Ch. Rotinsulu, George M.V.KawungFakultas Ekonomi dan Binis, Magister Ilmu Ekonomi dan BisnisUniversitas Sam Ratulangi, Manado ABSTRAKKota Bitung merupakan daerah di Sulawesi Utara yang memiliki banyak industri yang dikelola oleh pihak swasta. Industri perikanan dan minyak kelapa merupakan industri utama di Kota Bitung. Hal ini merupakan kenyataan bahwa investasi  swasta di Kota Bitung cukup besar. Kondisi ini tentunya memberikan dampak bagi perekonomian Kota Bitung antara lain, dengan kehadiran  industri-industri tersebut  telah mampu menyerap tenaga kerja dan mengurangi pengangguran di Kota Bitung. Hal yang  lebih penting juga untuk diketahui adalah tentang pengaruh investasi swasta di Kota Bitung  terhadap pertumbuhan ekonomi. Tujuan dari penelitian ini untuk menganalisis bagaimana pengaruh pengeluaran pemerintah, investasi swasta terhadap pertumbuhan ekonomi Kota Bitung. Teknik analisis yang digunakan Ordinary Least Square (OLS). Hasil penelitian menunjukan bahwa pengeluran pemerintah tidak memiliki pengaruh terhadap pertumbuhan ekonomi Kota Bitung sedangkan investasi swasta tidak memiliki pengaruh terhadap pertumbuhan ekonomi Kota Bitung dan secara bersama-sama pengeluaran pemerintah dan investasi swasta di Kota Bitung. Kata Kunci     : Pengeluaran Pemerintah, Investasi Swata, Pertumbuhan Ekonomi ABSTRACT Bitung City is a region in North Sulawesi that has many industries managed by private parties. The fishery and coconut oil industry is the main industry in Bitung City. This is a fact that private investment in Bitung City is quite large. This condition certainly has an impact on the economy of Bitung City, among others, with the presence of these industries have been able to absorb labor and reduce unemployment in the city of Bitung. It is also important to know about the influence of private investment in Bitung City on economic growth. The purpose of this study is to analyze how the influence of government spending, private investment on the economic growth of Bitung City. Analysis technique used Ordinary Least Square (OLS). The result of the research shows that government expenditure has no influence on Bitung City's economic growth while private investment does not have influence to economic growth of Bitung City and jointly government expenditure and private investment in Bitung City. Keyword          : Government spending, Private investment, Economic Growth

scholarly journals REGRESI LINIER BERGANDA DAN SPATIAL DURBIN MODEL UNTUK MENGIDENTIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI GIZI BURUK BALITA DI KOTA MEDAN

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ade Maulina Panjaitan ◽  
Susiana . .
Keyword(s):  
Least Square ◽  
Moran’S I ◽  
Spatial Durbin Model ◽  
Moran's I ◽  
Children Under Five ◽  
Ordinary Least Square ◽  
Under Five ◽  
Malnourished Children ◽  
Spatial Dependencies ◽  
The City

ABSTRAKKasus gizi buruk di kota Medan terus mengalami peningkatan dibandingkan dengan tahun-tahun sebelumnya. Pada tahun 2015, Kota Medan berada pada peringkat ke-2 kasus gizi buruk balita terbanyak di Sumatera Utara. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi gizi buruk balita di kota Medan dan menentukan model terbaik yang dapat menggambarkan gizi buruk balita di kota Medan. Analisis yang digunakan adalah regresi linier berganda dengan Ordinary Least Square (OLS) dan Spatial Durbin Model (SDM). Berdasarkan analisis Moran’s I, diperoleh adanya dependensi spasial pada variabel angka gizi buruk balita di kota Medan serta beberapa faktor yang mempengaruhinya. Dengan demikian perlu dilakukan analisis spasial model SDM. Dari hasil penelitian, diperoleh model SDM menghasilkan R-square sebesar 0.703 dan AIC sebesar 117.2534. variabel yang secara signifikan mempengaruhi gizi buruk balita di kota Medan dengan model SDM adalah banyaknya balita yang mendapat imunisasi lengkap  dan banyaknya rumah tangga miskin  Kata kunci : gizi buruk, dependensi spasial, Spatial Durbin Model, Ordinary Least Square ABSTRACTCases of malnutrition in the city of Medan continues to increase compared with previous years. In 2015, the city of Medan is ranked 2nd malnutrition of children under five in North Sumatra. This study aims to identify factors that affect infant malnutrition in the city of Medan and determine the best model to describe malnourished children under five in the city of Medan. The analysis used is multiple linear regression with ordinary least squares (OLS) and Spatial Durbin Model (SDM). Based on the analysis of Moran's I, obtained their spatial dependencies in the variable infant malnutrition rate in the city of Medan as well as some of the factors that influence it. Thus the need to analyze the spatial model of HR. From the research results, obtained SDM models produce R-square of 0703 and AIC at 117.2534. variables that significantly affect malnourished children under five in the city of Medan with human models is the number of infants are fully immunized  and the number of poor households . Keywords: malnutrition, spatial dependencies, Spatial Durbin Model, Ordinary Least Square

scholarly journals GEOGRAPHY MATTERS IN ONLINE HOTEL REVIEWS

2016 ◽  
Vol XLI-B2 ◽  
pp. 573-576 ◽  
Author(s):  
Mingshu Wang ◽  
Xiaolu Zhou
Keyword(s):  
San Francisco ◽  
Spatial Dependence ◽  
Spatial Model ◽  
Management Strategies ◽  
Least Square ◽  
Best Linear Unbiased Estimator ◽  
Ordinary Least Square ◽  
Best Linear Unbiased ◽  
Antecedents And Consequences ◽  
The City

In resonance with the popularity of user-generated contents (UGC) and the volunteered geographic information (VGI), this study crowdsourced 77,098 hotel reviews of 220 hotels provided by U.S. reviewers in the city of San Francisco, 2002 to 2015. In this exploratory analysis, we have revealed that there is spatial dependence of customer satisfaction at different locations (of hotels), which violates the assumption that ordinary least-square (OLS) is the best linear unbiased estimator (BLUE); therefore, spatial model might be required for analysing any antecedents and consequences of such phenomena. These results have implications in marketing and management strategies.

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