scholarly journals PENGARUH LUAS LAHAN, PRODUKSI, HARGA KAKAO INTERNASIONAL TERHADAP EKSPOR KAKAO INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Suci Indah Hakiki ◽  
Asnawi Asnawi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Test Results ◽  
Land Area ◽  
Short Term ◽  
Long Run

This study aims to examine the effect of land area, production, international cocoa prices on Indonesian cocoa exports. The data used is the time series data for the period 1991-2017. This study uses two methods of analysis multiple linear regression analysis, the second is the Auto Regressive Distributed Lagged (ARDL). The test results using multiple linear regression analysis showed that as together of land area, production, international cocoa prices effected on Indonesian cocoa exports. Partially large areas, production and prices of international cocoa each have a positive and significant effect on Indonesian cocoa exports. The test results using ARDL indicated a cointegration positive and not significant long-run and short-term. Production and prices of international cocoa in long run and short term each influenced positively and significantly.

scholarly journals ANALISIS PENGARUH LINGKUNGAN KERJA DAN FASILITAS KERJA TERHADAP KINERJA KARYAWAN PT.TELKOM CABANG MERAUKE

2019 ◽  
Vol 10 (1) ◽  
pp. 19-28
Author(s):  
Maria Kaok
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Analysis Techniques

The purpose of this study was to analyze the influence of the work environment and work facilities on the performance of the employees of PT. Telkom (Engineering Section) Merauke Branch. With data analysis techniques using multiple linear regression analysis and t-test results of 3.567 for X1 variables (work environment) and X2 variables (work facilities) 2.16 and f-test 12.724. The conclusion of this research is that by paying attention to the work environment and adding work facilities it will have a good impact on employee performance.

scholarly journals Kualitas Produk dan Harga Dalam Meningkatkan Minat Pembelian Konsumen Pada Rebana NS Di Kabupaten Gresik

2020 ◽  
Vol 17 (2) ◽  
pp. 240
Author(s):  
Muchsin Zuhad Al'asqolaini ◽  
Ahmad Junaidi Musthofa
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Analysis Method ◽  
Regression Tests

The purpose of this study is to determine the effect of Product Quality and Price on Consumer Purchase Interests in Tambourine NS, and to analyze the effect partially and simultaneously of each variable, so that the data analysis method used is to use multiple linear regression analysis and hypothesis testing with test t and F test. In this study, the population was 35 regular customers of tambourine NS products using saturated samples. Data collection was carried out by giving a list of questions to respondents, namely regular customers tambourine NS. Based on the results of the analysis of multiple linear regression tests produce that Product Quality and Price Simultaneously influence 7.625 with a significance of 0.000. While the partial test results of Product Quality partially influence 4,322 with a significance of 0,000 results. another case with Prices which partially does not affect the Consumer Purchase Interest. The most dominant variable in influencing consumer purchase interest is product quality.

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals ANALISIS PENGARUH KUALITAS PRODUK, PROMOSI DAN DESAIN TERHADAP KEPUTUSAN PEMBELIAN SMARTPHONE SAMSUNG DI KOTA AMBON

Jurnal Soso-Q ◽  
2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Walter Tabelessy
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Purchasing Decisions ◽  
Quality Promotion

This study aims to analyze the effect of product quality, promotion and design on the purchasing decisions of Samsung Smartphones in Ambon City. The population in this study is Samsung Smartphone consumers in Ambon. The sample used was 100 respondents with accidental sampling technique. Data collection techniques with questionnaires, while data analysis techniques using multiple linear regression analysis. From the F test results it is known that the regression model is feasible to measure the purchasing decisions of Samsung smartphones to consumers in Ambon City. Based on the results of multiple linear regression analysis of the t test, the results show that product quality, promotion and design have a significant effect on the purchasing decision of Samsung Ambon City Smartphones. Keywords: Product Quality, Promotion, Design, Purchasing Decisions

The Effect of Farmers Characteristics on the Productivity of Chili Farming in Moolo Village, Batukara Sub District, Muna District

2021 ◽  
Vol 6 (2) ◽  
pp. 53
Author(s):  
Hasriati Hasriati ◽  
Awaluddin Hamzah ◽  
Salahuddin Salahuddin
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Agricultural Productivity ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Land Area

This research was conducted in Moolo Village, Batukara Sub District, Muna District. This study aimed to determine the effect of farmer characteristics on the productivity of chili in Moolo Village, Batukara Sub District, Muna District. This research was conducted from February to July 2020. The population in this study was 28 farmers. Sampling in this study uses the census method, where the researcher takes the entire population of chili farmers in Moolo Village. The analysis used in this study is to use multiple linear regression analysis. Based on the multiple linear regression analysis results, it is known that the variables of land area, production, and labor have a significant effect on the agricultural productivity of chili.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI HARGA SAHAM KELOMPOK LQ45 DI BURSA EFEK INDONESIA

2012 ◽  
Vol 2 (1) ◽  
pp. 9
Author(s):  
Slamet Prayogi Hatna Wijaya ◽  
Tina Sulistiyani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Prices ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Company Size ◽  
Analysis Tool ◽  
Test Results

This study aims to determine how the influence of Earning per Share, Beta, Company Size, and dividends on stock prices LQ45 groups in Indonesia Stock Exchange, either simultaneously or partially. Factors to be the independent variable is the Earning per Share (EPS), beta (BETA), company size (SIZE), and dividends (DIV) and the dependent variable in this study is the stock price (Y). This study took data belonging to the group companies LQ45 of the year 2008-2010. Analysis tool used is Multiple Linear Regression Analysis performed using Classical Test Assumptions in advance. From the test results of Multiple Linear Regression Analysis using the  5%, it can be concluded that there is simultaneous influence of the EPS, BETA, SIZE, and DIV on stock prices. As for the partial regression analysis all influence on stock prices. Coefficient of determination of test results, obtained by the Adjusted R Square of 0,605.

scholarly journals Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study

10.2196/13273 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e13273 ◽  
Author(s):  
Youngin Kim ◽  
Bumjo Oh ◽  
Hyun-Young Shin
Keyword(s):  
Health Care ◽  
Weight Loss ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Fat Mass ◽  
Weight Change ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Short Term

Background Weight loss interventions using mobile phone apps have recently shown promising results. Objective This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital’s antiobesity clinic as a multidisciplinary model. Methods A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change. Results Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference −2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference −2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=−.0009; P=.10), number of articles read (beta=−.01; P=.04), and frequency of weight records (beta=−.05; P=.10; R2=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; P=.03), sex (female; beta=1.16; P=.08), △MET (beta=−.0009; P<.001), and number of articles read (beta=−.02; P<.001; R2=0.3728) were identified as significant variables of fat mass change. Conclusions The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

scholarly journals Analisis Produktivitas dan Efisiensi Hutan Tanaman Industri dalam Produksi Kayu Bulat di Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 81-89
Author(s):  
Ahmad Yani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Cultivated Land ◽  
Land Area ◽  
Forestry Industry ◽  
Main Factors ◽  
Production Labor

Abstrak: Produktivitas dan efisiensi merupakan masalah penting dalam sebuah kegiatan usaha, begitu juga dalam kegiatan industri kehutanan. Penelitian ini bertujuan untuk menganalisis tingkat produktivitas kegiatan hutan tanaman industri dalam memproduksi kayu bulat di Indonesia dalam kaitannya dengan dua faktor utama yaitu luas lahan budidaya dan tenaga kerja lapangan. Kajian ini dilakukan dengan pendekatan kuantitatif dengan metode analisis regresi linear berganda. Hasil analisis regresi linier berganda memperlihatkan adanya hubungan linier antara variabel luas lahan budidaya, variabel tenaga kerja lapangan dengan variable produksi. Temuan lain produktivitas hutan tanaman industri dalam menghasilkan kayu bulat semakin meningkat dan efisien. Variabel luas lahan budidaya merupakan faktor yang berpengaruh positif dan signifikan pada produksi kayu bulat, naiknya luas lahan akan menaikkan produksi kayu bulat. Tenaga kerja juga berpengaruh positif tetapi tidak signifikan pada produksi kayu bulat. Rasio produksi kayu bulat terhadap tenaga kerja menunjukkan efisiensi pemakaian tenaga kerja. Dengan tenaga kerja yang sedikit menghasilkan produksi yang lebih banyak.   Kata kunci: industri kehutanan, luas lahan budidaya kehutanan.   Abstract: Productivity and efficiency are important issues in a business activity, as well as in the activities of the forestry industry. This study aims to analyze the level of productivity of industrial plantations in producing logs in Indonesia in relation to two main factors, namely the area of ​​cultivated land and field labor. This study was conducted with a quantitative approach with multiple linear regression analysis methods. The results of multiple linear regression analysis showed a linear relationship between the variable area of ​​cultivated land, the variable of field labor with the variable of production. Another finding is the productivity of industrial plantations in producing logs and increasing and efficient. The variable area of ​​cultivated land is a factor that has a positive and significant effect on log production, increasing the area of ​​land will increase log production. Labor also has a positive but not significant effect on log production. The ratio of log production to labor shows the efficient use of labor. With less labor, more production  Keywords: field labor, forestry cultivation land area.

PENGARUH KNOWLEDGE SHARING, KOMPETENSI DAN LINGKUNGAN KERJA TERHADAP KINERJA TERHADAP KINERJA KARYAWAN

2020 ◽  
Vol 14 (2) ◽  
pp. 117
Author(s):  
Resti Novita ◽  
Prayekti Prayekti ◽  
Jajuk Herwati
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Knowledge Sharing ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Test Results

ABSTRACT This study aims to determine the effect of knowledge sharing, competence and work environment on employee performance. The population in this study were all employees of the Pratama Tax Office in Bantul. The sample in this study amounted to 45 respondents using accidental sampling. By using a questionnaire to collect primary data, and respondents were 45. The technique used regression analysis to determine the effect of knowledge sharing, competence and the Work Environment on employee performance. The results show multiple linear regression analysis, namely the T test shows that competency has a significant effect on employee performance. F test results show knowledge sharing, competence and work environment simultaneously have a positive and significant effect on employee performance.Keywords: knowledge sharing, competence, work environment, employee performance. ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh knowledge sharing, kompetensi dan lingkungan kerja terhadap kinerja karyawan. Populasi dalam penelitian ini seluruh kayawan kantor pelayanan pajak pratama Bantul. Sampel dalam penelitan ini berjumlah 45 responden dengan menggunakan accidental sampling.  Dengan menggunakan kuesioner untuk mengumpulkan data primer, dan responden adalah 45. Teknik yang digunakan analisis regresi untuk mengetahui pengaruh knowledge sharing, kompetensi dan Lingkungan Kerja terhadap kinerja karyawan. Hasil menunjukkan analisis regresi linear berganda yaitu pada uji T menunjukkan knowledge sharing tidak berpengaruh positif terhadap kinerja karyawan dengan nilai signifikansi 0,017 dimana nilai ini diatas 0,05. Sedangkan Kompetensi berpengaruh positif dan signifikan terhadap kinerja karyawan dengan nilai signifikansi 0,048 dimana nilai ini dibawah 0,05. Lingkungan kerja tidak berpengaruh positif dan signifikan dengan nilai 0,895 dimana nilai ini diatas 0,05. Kata kunci : knowledge Sharing, Kompetensi, Lingkungan Kerja, Kinerja Karyawan.

scholarly journals Pengaruh Kualitas Pelayanan Dan Kepuasan Pelanggan Terhadap Keinginan Berbelanja Pada Coco Mart Tabanan

2020 ◽  
Vol 2 (1) ◽  
pp. 46-58
Author(s):  
Ni Wayan Ari Sudiartini ◽  
Ni Ketut Murdani ◽  
Ni Kadek Candra Dewi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Positive Effect

This research aims to find out how the influence of service quality and customer satisfaction to desire to shop at Coco Mart Tabanan. The data used in this research is quantitative data and then processed using multiple linear regression analysis. Population in this research were consumers who made purchases in Coco Mart Tabanan, with a sample of 60 people.Test results of multiple linear regression analysis obtained equation Y = - 0,465 + 0,236X1+ 0,289X2,  which means the quality of service variables (X1) and customer satisfaction (X2) have a significant positive effect on the desire to shop (Y). The correlation test results show that the correlation coefficient of = 0,889 lies between 0,80-1,00 which means that the effect between service quality  (X1) and customer satisfaction (X2) with shopping desire (Y) is very strong. Determination test results, adjusted amount of R2 is 0,790 this means the influence of service quality and customer satisfaction to the desire to shop for 79,0% while the remaining 21,0% influenced by other factors not examined. The results of the f test and t test show that the hypothesis which reads “ there is a significant influence between service quality (X1) and customer satisfaction (X2) on shopping desire (Y) “ can be received by testing significant level 0,000 is smaller than 0,05. 

Sign in / Sign up

Export Citation Format

Share Document