scholarly journals PENGARUH PENGETAHUAN, KEMAMPUAN BERPIKIR, ANALISIS TUGAS, PENGALAMAN, TEKANAN WAKTU TERHADAP PENDETEKSIAN KECURANGAN OLEH INSPEKTORAT KABUPATEN PINRANG

2021 ◽  
Vol 3 (2) ◽  
pp. 71-80
Author(s):  
Asriadi Asriadi ◽  
Firman Menne ◽  
Lukman Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Task Analysis ◽  
Time Pressure ◽  
Linear Regression Analysis ◽  
Fraud Detection ◽  
Multiple Linear Regression Analysis ◽  
Thinking Skill ◽  
Test Models ◽  
Regression Test

Penelitian ini untuk mengetahui Pengaruh Pengetahuan, Kemampuan Berpikir, Analisis Tugas, Pengalaman, Tekanan Waktu Terhadap Pendeteksian Kecurangan Oleh Inspektorat Kabupaten Pinrang. Analisis yang digunakan adalah analisis regresi linear berganda dengan model uji t dan uji F. Dari hasil pengujian regresi linear berganda diketahui bahwa pengetahuan berpengaruh positif dan signifikan terhadap pendeteksi kecurangan. Kemampuan berpikir berpengaruh positif dan signifikan terhadap pendeteksi kecurangan. Analisis tugas berpengaruh positif dan signifikan terhadap pendeteksi kecurangan. Pengalaman berpengaruh positif dan signifikan terhadap pendeteksi kecurangan. Tekanan waktu berpengaruh positif dan signifikan terhadap pendeteksi kecurangan. Hal ini menjadi bukti empiric bahwa indikator-indikator yang digunakan dalam penelitian ini dapat digunakan sebagai alat untuk pendeteksian kecurangan di Inspektorat Kabupaten Pinrang. Dari hasil uji regresi dapat dilihat bahwa variabel pengetahuan, kemampuan berpikir, analisis tugas, pengalaman, tekanan waktu yang lebih kuat mempengaruhi pendeteksian kecurangan oleh Inspektorat Kabupaten Pinrang. This study is to determine the influence of Knowledge, Thinking Skill, Task Analysis, Experience, Time Pressure and Detection of Fraud in the Inspectorate of Pinrang Regency. The analysis used is multiple linear regression analysis with the t-test and F-test models. From the results of multiple linear regression test, it is known that knowledge has a positive and significant effect on fraud detection. Thinking skill has a positive and significant effect on fraud detection. Task analysis has a positive and significant effect on fraud detection. Experience has a positive and significant effect on fraud detection. Time pressure has a positive and significant effect on fraud detection. This is empiric evidence that the indicators used in this study can be used as a tool for detecting fraud in the Inspectorate of Pinrang Regency. From the results of the regression test, it can be seen that the variables of knowledge, thinking skill, task analysis, experience, stronger time pressure affect the detection of fraud in the Inspectorate of Pinrang Regency.

scholarly journals Kesenangan, Dorongan Berbelanja dan Merek terhadap Intensi Berbelanja Online Produk Fashion (Studi pada Mahasiswi STIE “KBP” Padang)

JURNAL PUNDI ◽  
2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Febsri Susanti
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Analysis Technique ◽  
Regression Test ◽  
Independent Variable

The purpose of this study to find out how the influence of pleasure shopping, shopping, brand, the intention to shop through the online shop. The research method used is explanatory research. Sampling technique used ispurposive samplingsehingga from the population are taken as many as 93 respondents. Data analysis technique used is test of validity, reliability, classical assumption test, multiple linear regression test, F test and t test. Based on multiple linear regression analysis, buying pleasure variable, buying impulse, brand to shopping intention through online shop obtained Y = - 0,069 + 0,277 X1 + 0,286 X2 + 0,534 X3Based on the test results simultaneously found that the variable of buying pleasure, buying impulse, brand influence simultaneously to the intention of shopping through online shop with significant value 0,000 <0,05. From the results of partial tests found shopping pleasure variables affect the intention of shopping through the online shop because the resulting significant value of 0.007 <0.05. Shopping boost variables affect the intention of shopping through the online shop because the significant value generated by 0.001 <0.05. Brand variables affect the intention of shopping through the online shop because the significant value generated by 0.000 <0.05. While the results of determination coefficient test obtained Adjusted RSquare with 0.974. This means that the proportion of variance of independent variable to dependent variable is 97,4% the rest of 2,6% explained by other variable not discussed in this research

scholarly journals Pengaruh Kualitas Layanan dan Harga Bersaing Terhadap Kepuasan Pelanggan Tangki Air Penguin Pada Toko Bahan Bangunan di Gading Serpong

2020 ◽  
Vol 3 (2) ◽  
pp. 54
Author(s):  
Retno Wulansari ◽  
Ramdan Novianto
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Strong Relationship ◽  
Multiple Linear Regression Analysis ◽  
Water Tank ◽  
Regression Test

AbstractWater tank product Company facing a challenge to provide quality services and competitive prices to get customer satisfaction. The objectives of this study is to analysis quality of service, price and customer satisfaction of Penguin Water Tank products at Mitra 10 Gading Serpong Store. Are there relationship between service quality and price to customer satisfaction ? Using associative and quantitative method. Data analysis methods used linear regression test, multiple linear regression test, r replacement test , determination coefficient test (R ²), hypothesis test t test and f test. Based on the results of the study, service quality, price and customer satisfaction in the water tank Penguin product at Mitra 10 Gading Serpong is  good. The results of multiple linear regression analysis obtained a regression equation Y = 0.158 + 0.533X1 + 0.462X2. The results of the consideration coefficient (r) of 0.842 which means there is a strong relationship between service quality, price and customer satisfaction.Key World: Customer Satisfaction; Price; Service QualityAbstrakProdusen produk tangki air menghadapi tantangan untuk memberikan pelayanan yang berkualitas dan harga bersaing untuk  mendapatkan kepuasan konsumen. Penelitian ini bertujuan untuk mengetahui bagaimana kualitas pelayanan, harga dan  kepuasan pelanggan produk Tangki Air Penguin pada Toko Mitra 10 Gading Serpong, serta untuk mengetahui apakah terdapat pengaruh kualitas pelayanan dan harga terhadap kepuasan pelanggan pada produk Tangki Air Penguin? Metode penelitian yang di gunakan adalah metode assosiatif dengan pendekatan kuantitatif.  Metode analisis data menggunakan  uji regresi linier sederhana, uji regresi linier berganda, uji koefisien korelasi (r), uji koefisien determinasi (R²), uji hipotesis uji t dan uji f. Berdasarkan hasil penelitian, kualitas pelayanan, harga dan kepuasan pelanggan pada tangki air merek Penguin sudah baik. Hasil analisis regresi linier berganda diperoleh persamaan regresi Y = 0,158+ 0,533X1 + 0,462X2,. Hasil koefisien korelasi (r) sebesar 0,842 yang berarti terdapat hubungan yang “kuat” antara kualitas pelayanan, harga  dan kepuasan pelanggan. Kata kunci: Harga; Kepuasan Pelanggan; Kualitas Pelayanan

scholarly journals PENGARUH PELATIHAN DAN KOMPETENSI INSTRUKTUR TERHADAP KINERJA PEGAWAI BALAI LATIHAN KERJA KABUPATEN PANGKEP

2021 ◽  
Vol 4 (1) ◽  
pp. 122-131
Author(s):  
Syahruddin Syahruddin ◽  
Hasanuddin Remmang ◽  
Seri Suriani
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Performance Indicators ◽  
Job Training ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Training Center ◽  
Test Models ◽  
The Relationship

Penelitian ini untuk mengetahui hubungan antara pengaruh pelatihan dan kompetensi instruktur terhadap kinerja pegawai balai latihan kerja kabupaten pangkep. Analisis yang digunakan adalah analisis regresi linear berganda dengan model uji t dan uji F. Dari hasil pengujian regresi linear berganda diketahui bahwa pelatihan dan kompetensi berpengaruh positif dan signifikan terhadap kinerja pegawai. Indikator Kebutuhan pelatihan, Sasaran pelatihan, Kurikulum pelatihan, Peserta pelatihan, dan Pelatih (trainer), mempengaruhi kinerja pegawai telah menjadi bukti empirik sebagai syarat peningkatkan kinerja pegawai.. Pengeloaan data regresi berganda yang dilakukan dalam penelitian ini memberikan hasil bahwa pelatihan, kompetensi instruktur berpengaruh positif dan signifikan terhadap kinerja pegawai pada Balai Latihan Krja Kabupaten Pangkep. Hal ini dapat dilihat dari nilai probabilitas yang lebih kecil dari nilai standar. Nilai F hitung yang lebih besar dari nilai F tabel menjadi tolak ukur hasil dari penelitian ini tentang pengaruh setiap variable. This study was to determine the relationship between training and competence on the performance of the Pangkep district job training center employees. The analysis used is multiple linear regression analysis with t test and F test models. It is known from the results of multiple linear regression testing that training and competence have a positive and significant effect on employee performance. Indicators of training needs, training targets, training curriculum, training, and trainers, affect employee performance as a condition for improving employee performance. positive and significant impact on employee performance at the Pangkep Regency Job Training Center. This can be seen from the probability value which is smaller than the standard. The calculated F value which is greater than the F table value becomes the benchmark for the results of this study regarding the effect of each variable

scholarly journals Pengaruh Pendapatan, Jarak Tempuh, Dan Lama Waktu Berkunjung Terhadap Kesedian Wisatawan Membayar Retribusi Tiket Pada Objek Wisata Pulau Mandeh

2019 ◽  
Vol 9 (1) ◽  
pp. 70
Author(s):  
Nilmadesri Rosya ◽  
Yolamalinda Yolamalinda
Keyword(s):  
Linear Regression ◽  
Willingness To Pay ◽  
Multiple Linear Regression ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Negative Influence ◽  
Positive Influence ◽  
Primary Data ◽  
Regression Test

his study aims to determine the willingness of visitors to pay entrance ticket retribution on the tourist attraction of Mandeh Island in the South Coast. The hypothesis was tested using multiple linear regression analysis. The data used are primary data in the form of interviews using questionnaires to 50 visitors in Mandeh Island Tourism Area. Sampling uses accidental sampling. Data analysis used Multiple Linear Regression test and hypothesis test with t test and F test. The results showed that: (1) there is a positive influence between income partially on willingness to pay retribution with a coefficient value of 0.035, the value of tcount is 0.598 <t table of 1.985; (2) there is a positive influence between partial mileage on willingness to pay retibusi with a coefficient value of 0.432 tcount of 3.97> ttable 1.985 (3) there is no negative influence between the length of time visiting the willingness to pay retribution with a coefficient of 0.052 and tcount amounting to 0.456> ttable 1.985; (4) there is a positive and significant influence between income, distance traveled and the length of time of visit available to the willingness to pay levies on the mandatory tourist area with F count 6.588> Ftable 2.70.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Andres Mauricio Munar ◽  
José Rafael Cavalcanti ◽  
Juan Martin Bravo ◽  
David Manuel Lelinho Da Motta Marques ◽  
Carlos Ruberto Fragoso Júnior
Keyword(s):  
Linear Regression ◽  
Spatial Heterogeneity ◽  
Multiple Linear Regression ◽  
Chlorophyll A ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Accurate Estimation ◽  
Shallow Waters ◽  
Chl A ◽  
Input Variables

ABSTRACT Accurate estimation of chlorophyll-a (Chl-a) concentration in inland waters through remote-sensing techniques is complicated by local differences in the optical properties of water. In this study, we applied multiple linear regression (MLR), artificial neural network (ANN), nonparametric multiplicative regression (NPMR) and four models (Appel, Kahru, FAI and O14a) to estimate the Chl -a concentration from combinations of spectral bands from the MODIS sensor. The MLR, NPMR and ANN models were calibrated and validated using in-situ Chl -a measurements. The results showed that a simple and efficient model, developed and validated through multiple linear regression analysis, offered advantages (i.e., better performance and fewer input variables) in comparison with ANN, NPMR and four models (Appel, Kahru, FAI and O14a). In addition, we observed that in a large shallow subtropical lake, where the wind and hydrodynamics are essential factors in the spatial heterogeneity (Chl-a distribution), the MLR model adjusted using the specific point dataset, performed better than using the total dataset, which suggest that would not be appropriate to generalize a single model to estimate Chl-a in these large shallow lakes from total datasets. Our approach is a useful tool to estimate Chl -a concentration in meso-oligotrophic shallow waters and corroborates the spatial heterogeneity in these ecosystems.

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