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

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

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

JURNAL PEMBANGUNAN EKONOMI DAN KEUANGAN DAERAH ◽

10.35794/jpekd.15773.19.1.2017 ◽

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.

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The Correlation between Social Determinants and Environmental Condition with Measles Cases among Infants in Padang, West Sumatera

Childhood Stunting, Wasting, and Obesity, as the Critical Global Health Issues: Forging Cross-Sectoral Solutions ◽

10.26911/the7thicph.01.12 ◽

2020 ◽

Author(s):

Iyana Putri ◽

◽

Adang Bachtiar ◽

Keyword(s):

Logistic Regression ◽

Sampling Technique ◽

Children Under Five ◽

Under Five ◽

Immunization Status ◽

Independent Variable ◽

Influential Variable ◽

Measles Incidence ◽

The City ◽

Control Study

Background: Indonesia is targeting to eliminate measles by 2020. In 2018 there were still 191 cases of measles in the city of Padang. This study aimed to determine the risk factors most associated with the incidence of measles among children under five in Padang City in 2018. Subjects and Method: A case-control study was conducted in Padang City, West Sumatera. The total of 74 children under five were enrolled in this study consisting of 37 with measles and 37 without measles. The study subjects were selected using sampling technique for cases and purposive sampling with matching age and sex for controls. The dependent variable was measles incidence. The independent variable was exclusive breastfeeding, measles immunization status, and vitamin A intake. The data were collected using medical records and questionnaire. The data were analyzed using d logistic regression. Results: The logistic regression showed that the most influential variable with the incidence of measles among children under five was measles immunization status with (OR= 6.33; 95% CI= 1.87 to 21.39; p= 0.003). Conclusion: Children under five who are not immunized against measles have the highest risk of measles incidence among children under five in Padang City. Keywords: measles, immunization, children under five Correspondence: Iyana Putri. Faculty of Public Health, University of Indonesia, Depok, West Java. Email: [email protected]. Mobile: 085264332552 DOI: https://doi.org/10.26911/the7thicph.01.12

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Use of GIS and Moran’s I to support residential solid waste recycling in the city of Annaba, Algeria

Environmental Science and Pollution Research ◽

10.1007/s11356-020-10911-z ◽

2020 ◽

Author(s):

Hamza Cheniti ◽

Mohamed Cheniti ◽

Khaled Brahamia

Keyword(s):

Solid Waste ◽

Waste Recycling ◽

Moran’S I ◽

Moran's I ◽

Residential Solid Waste ◽

Solid Waste Recycling ◽

The City

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PENGARUH KOMPETENSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN

Jurnal Ilmiah Bina Manajemen ◽

10.33557/jibm.v3i1.829 ◽

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.

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

Jurnal Ekonomi Pembangunan Kajian Masalah Ekonomi dan Pembangunan ◽

10.23917/jep.v5i1.4032 ◽

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).

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GEOGRAPHY MATTERS IN ONLINE HOTEL REVIEWS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b2-573-2016 ◽

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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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI STUNTING PADA BALITA DI KOTA GORONTALO MENGGUNAKAN REGRESI BINOMIAL NEGATIF

Jambura Journal of Probability and Statistics ◽

10.34312/jjps.v2i1.10284 ◽

2021 ◽

Vol 2 (1) ◽

pp. 48-55

Author(s):

FAHREZAL ZUBEDI ◽

MUFTIH ALWI ALIU ◽

YOLANDA RAHIM ◽

FRANKY ALFRITS OROH

Keyword(s):

Exclusive Breastfeeding ◽

Research Data ◽

Predictor Variables ◽

P Value ◽

Response Variable ◽

Children Under Five ◽

The Public ◽

Under Five ◽

The City ◽

Significant Factors

This study aims to model stunting cases in children under five in Gorontalo city in 2018. In this model, it can be seen that the significant factors that affect stunting cases in children under five in Gorontalo city in 2018. This study uses data on stunting cases in 9 (nine) districts in the city of Gorontalo and the factors that influence it. The research data were obtained from the Public Health in Gorontalo city. This study used one response variable, namely the number of cases of stunting and four predictor variables, namely number of toddlers who received exclusive breastfeeding, the percentage of low birth weight (LBW), the percentage toddlers who received complete basic immunization, and number of proper sanitation. The results obtained were the variables of number of toddlers who received exclusive breastfeeding and the percentage toddlers who received complete basic immunization which had a significant effect on stunting cases in children under five in the city of Gorontalo in 2018. This was indicated by the P-value of the variable for number of toddlers who received exclusive breastfeeding of 0.00283 and P-value of variable the percentage toddlers who get complete basic immunization is 0.06564.

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Analisa Respon Masyarakat Muslim Kota Medan Terhadap Asuransi Syariah

AT-TAWASSUTH: Jurnal Ekonomi Islam ◽

10.30821/ajei.v1i1.2743 ◽

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.

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Implementation of Feeder System to Support Monitoring the Potential Malnutrition

International Journal of Education, Science, Technology, and Engineering ◽

10.36079/lamintang.ijeste-0302.114 ◽

2020 ◽

Vol 3 (2) ◽

pp. 48-59

Author(s):

Liliana Swastina ◽

Akhmad Selamet Riadi

Keyword(s):

Medical Personnel ◽

Children Under Five ◽

Under Five ◽

Economic Problems ◽

Remote Areas ◽

The Government ◽

The City

The case of malnutrition affecting many toddlers of Banjarmasin in isolated areas, remote areas, and remote villages. It is caused by the resultant of economic problems, facilities, infrastructures, and the lack of medical personnel. One of the ways undertaken by the government to overcome this problem is to carry out Posyandu activities. The posyandu program is organized to improve and monitor the nutrition of children under five. However, the reporting of posyandu data by each puskesmas is sometimes delayed because of the large amount of bureaucracy that must be passed to get to the center. Therefore a system feeder application is needed to monitor and mapping on the number of toddlers with potential malnutrition in the city of Banjarmasin.

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