Publication Search

Pemasaran mempunyai peran penting bagi keberlanjutan perusahaan. Melalui pemasaran, hasil produksi dapat diperkenalkan, dan dibeli oleh konsumen. Apabila hasil produksinya baik, dapat menimbulkan kepuasan di hati konsumen maka mereka akan tertarik dan menjadi langganan di suatu produk yang kita kenalkan.Rumusan masalah penelitian ini adalah 1. Apakah ada pengaruh iklan zakat secara signifikan terhadap loyalitas muzaki di Baznas Provinsi Bali? 2. Apakah ada pengaruh signifikan antara media online terhadap loyalitas muzakki di Baznas Provinsi Bali?. 3. Apakah ada pengaruh iklan zakat melalui media online secara simultan terhadap loyalitas muzaki di Baznas Provinsi Bali?.Tujuan Penelitian ini adalah 1. Untuk mengetahui pengaruh signifikan antara variabel iklan terhadap loyalitas muzaki di Baznas Provinsi Bali 2. Untuk mengetahui pengaruh yang signifikan dari variabel media online terhadap variabel loyalitas muzaki di Baznas Provinsi Bali 3. Untuk mengetahui pengaruh iklan zakat melalui media online.Metode pada penelitian ini menggunakan penelitian kuantitatif dengan melakukan survei. Populasi pada penelitian ini adalah muzakki di Baznas Provinsi Bali. Teknik pengambilan sampel menggunakan metode purposive sampling dengan jumlah sampel sebanyak 43 orang. Teknik pengumpulan data menggunakan kuesioner. Teknik analisis data yang digunakan untuk menjawab hipotesis adalah uji regresi berganda dan uji asumsi klasik dengan menggunakan SPSS for windows 7 versi 25. Dari hasil pengolahan data menggunakan SPSS ditemukan hasil penelitian bahwa uji regresi berganda adalah 1,425 0.221 dan 0.223 serta hasil uji koefisien determinasi R2 sebesar 0,555 dengan nilai signifikan 0,00 < 0,05 dengan secara simultan sebesar 24,934 > 3,23 dengan signifikan 0,00 besarnya nilai loyalita muzaki tersebut menunjukkan adanya pengaruh antara iklan zakat melalui media online terhadap loyalitas muzaki di Baznas Provinsi Bali baik secara parsial atau terpisah maupun secara simultan.

Penelitian ini bertujuan untuk mengetahui respon siswa terhadap pembelajaran tatap muka terbatas masa pandemi covid-19 MA Al-Amin Tabanan Tahun Pelajaran 2021/2022. Metode penelitian yang digunakan yakni metode kualitatif dengan pendekatan kualitatif deskriptif dengan teknik pengumpulan data berupa wawancara dan observasi kepada siswa kelas XII MA Al-Amin Tabanan. Hasil respon siswa terhadap pembelajaran tatap muka terbatas ini adalah sangat antusias. Dengan pembejaran tatap muka terbatas ini siswa dapat kembali ke sekolah dan berinteraksi dengan teman sebayanya, dapat langsung menerima pembelajaran dari guru, serta dapat berdiskusi terkait pembelajaran yang dipelajari. Hal ini menjadikan proses pembelajaran menjadi lebih menyenangkan dan bermakna bagi siswa siswi MA Al-Amin Tabanan. Pembelajaran yang disampaikan oleh guru lebih mudah dipahami karena guru menjelaskan secara langsung tidak sebatas pemberian tugas sehingga pembelajaran tatap muka terbatas ini merupakan solusi yang tepat dari permasalahan yang dihadapi siwa selama belajar daring.

The purpose of Community Service is to improve the quality of early childhood in reading the Qur'an in Lopang Village, Kembangbahu Regency and find out what obstacles are experienced in learning the Quran at TPQ Syuhadak. The method used by preparing material that will later be applied as an interactive learning method. So that it is easy to understand and remember by children. From this dedication, it can also be known what obstacles and obstacles exist in TPQ Shuhadak both internally and externally in an effort to improve the quality of reading the Quran in early childhood.  

(PONV). PONV can be caused by many factors, one of which is the length of fasting. Preanesthesia fasting about 6-8 hours before surgery is performed as an effort to minimize the incidence of aspiration of stomach contents or nausea and vomiting. Objective: Determine the relationship between the length of fasting and the incidence of nausea and vomiting in post-spinal anesthesia. Research Methods: This type of research is an observational study with a Cross-sectional research design. The population in this study is all patients who will undergo spinal anesthesia in the IBS room of RSUD Kab. Batang. Sampling in this study was using the Purposive Sampling method of 49 samples and using the Spearman Rank analysis test. The research instrument uses observation sheets. Research Results: The age of most respondents in this study was 36-40 years as many as 26 respondents (53.1%), the most gender is women 32 respondents (65.3%), and those who experienced the most fasting length of 2-6 hours with 30 respondents (61,3%), while PONV as many as 29 respondents (59.2%). Based on the results of the Spearman Rank test to determine the relationship between the length of fasting and the incidence of Post Operative Nausea and Vomiting (PONV) obtained a result of 0.007 (P0.5). The majority of respondents who did not experience PONV were 14 respondents (28.6%). Conclusion: There is a significant relationship between the length of fasting and the incidence of Post Operative Nausea and Vomiting (PONV).

This research aims to examine the influence of e-service quality on customer satisfaction of the Grab online application in Purworejo. In the research, the population was Grab users in the Purworejo Regency area. The number of Grab users is unknown and can be said to be in the infinite category. The sampling technique used is purposive sampling with the hope that the researcher will obtain a representative sample based on the specified criteria. So the total research sample was 97 people. Data analysis techniques use multiple linear regression analysis, determination test, t test and f test. The research results from the multiple linear regression line equation produce the equation Y=-4.136+0.888X1+0.262X2. The constant coefficient value obtained is -4.136. This means that if the value of the e-servicequality and price variables is equal to 0, then the level or magnitude of the customer satisfaction variable is -4.136. The e-service quality variable has a coefficient of 0.888. A value of 0.888 means that if the value of the e-service quality variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.888. The price variable has a coefficient of 0.262. A value of 0.262 means that if the value of the price variable increases by 1 unit and other variables are considered constant, the level of customer satisfaction will increase by 0.262. Determination analysis produces an Ajusted R Square of 0.837, this figure means that 83% of the level of customer satisfaction can be explained using the e-service quality and price variables. Meanwhile, the remaining 17% may be influenced by other variables that were not studied, for example company image, promotion and brand ambassador factors. The t test shows that the e-service quality variable shows that the calculated t is greater than the t table (12,636> 1,661). This means that hypothesis 1 (H1) proposed that partially there is a significant influence between e-service quality on customer satisfaction is accepted and Ho is rejected. The price variable obtained by t calculated is greater than t table (3267 > 1,661). This means that hypothesis 2 (H2) proposed that partially there is a significant influence between price on customer satisfaction is accepted and Ho is rejected. The f test shows that F count > F table or (247,816 > 3.09) which means Hypothesis 3 (H3) which states that simultaneously there is a significant influence between e-service quality and price on customer satisfaction is accepted and Ho is rejected. 

This study aims to examine the influence of service quality on the satisfaction of patients who visit RSU Palang Biru Kutoarjo. Data collection techniques in this research were obtained by means of observation, interviews, questionnaires, documentation and library studies. people. Data collection methods through observation, interviews, questionnaires, documentation and library studies. Data analysis techniques use , simple linear regression, t test and determination test research results. The simple linear regression line equation produces the equation Y= 29,271+0.601X1. The constant coefficient value results in 29,271. This means that if the value of the Health Services variable is 0 (zero), then the level or magnitude of the Patient Satisfaction variable is 29,271. The Health Services variable has a coefficient of 0.601. A value of 0.601 means that if the value of the Health Services variable increases by 1 unit and other variables are considered fixed or constant then the level of Patient Satisfaction is 0.601. Determination analysis produces an R Square of 0.326, this number is called the coefficient of determination value. The determination value is 0.326 or 32.6%. This figure means that 32.6% of patient satisfaction can be explained using the Health Service variable. Meanwhile, the remaining 67.4% (100%-32.6%) is likely influenced by other variables not studied such as comfort, facilities, etc. .Hypothesis testing (t test) shows that the Health Service variable (X1) has a positive and significant effect on Patient Satisfaction (Y). This means that the null hypothesis which states that there is no positive and significant influence between the Health Service variable on Patient Satisfaction is rejected and the working hypothesis (H1) which states that there is a positive and significant influence between Health Service and Patient Satisfaction is accepted. 

This research aims to determine the influence of e-service quality on the decision to repurchase Prameks train tickets. The population in this study were KAI Access users who bought Prameks train tickets. The sampling technique in this study used purposive random sampling. The number of samples in this study was 96 people. The data analysis technique uses simple linear regression analysis, coefficient of determination test, t test which is processed using SPSS version 25. The results of the research show that the simple regression equation Y= 3.859+0.961X results in a constant coefficient of 3.859. The results of the price coefficient of determination show that the contribution of the e-service quality variable is 57.4%, while 46.2% is influenced by other variables not studied. Based on the t test, the e-service quality variable shows that Ho is rejected and Ha is accepted because the significance value obtained is (0.000 < 0.05). 

The aim of this research is to determine Economic Value Added (EVA), Market Value Added (MVA) and Return On Assets (ROA) in banking companies listed on the IDX for the 2020 period. The data collection technique used in this research method is literature study. The population in this study was 43 companies. In this research, researchers carried out samples to represent the population using simple random sampling, with a sample of 23 samples. This research explores and analyzes the independent and dependent variables consisting of Economic Value Added/EVA (X1), Market Value Added/MVA (X2) and Company Performance / Return On Assets (Y) which will be analyzed using multiple correlation analysis techniques, multiple regression , t test, f test and determination coefficient. In this research, the regression test obtained the equation ` Y = 0.605 + 1.213 X1 –6.558 X2. Where the constant is 0.605, which means that if Economic Value Added (EVA) and MVA are fixed (or 0), then ROA is 0.605. And if X1 or Economic Value Added (EVA) increases by one unit while X2 or MVA remains constant (or 0), then ROA will increase by 1.213. And if X1 or Economic Value Added (EVA) remains (or 0) while X2 or MVA increases by one unit, then ROA will decrease by 6.558. In the t test for Economic Value Added (EVA) it is known that the t count is 0.934 and the t table is 172472. So t count < t table then ho is accepted, so that the poor Economic Value Added (EVA) makes Economic Value Added (EVA) does not affect ROA. Meanwhile, for MVA, it is known that t count is -1.382 and t table is 1.72472, so t count < t table so ho is accepted. So MVA partially has no effect on ROA. In ANOVA, the results obtained for Economic Value Added (EVA) and MVA in this study showed that the calculated f was 3.029 and the f table was 2.59. So f table < f count then ho is rejected, so that Economic Value Added (EVA) and MVA simultaneously influence ROA. The Adjusted R Square figure (correlation figure squared or 0.4822) is 0.156. The Adjusted R Square number is also called the Coefficient of Determination. The coefficient of determination is 0.156 or equal to 15.6%. This figure means that the 15.6% ROA that occurs can be explained using the Economic Value Added (EVA) and MVA variables. The remaining 84.4% (100% -15.6%) must be explained by other causal factors such as Net Profit Margin, Return on Sales and Debt to Equity Ratio. 

This study aims to examine the effect of Financial Reporting Quality, Financial Leverage, and Company Size on Company Stock Prices (Study on Manufacturing Companies in the Cosmetics and Household Goods Sub-Sector Listed on the Indonesia Stock Exchange for the 2017-2019 Period). The population in this study is the Manufacturing Sub-Sector of Cosmetics and Household Goods listed on the Indonesia Stock Exchange (IDX) in 2017-2019 as many as 6 companies. The sampling method used is purposive sampling, where the sample that meets the criteria is 5 companies over a period of 3 years, then the number of samples of research data is 15. The analysis technique used is calculating each variable, descriptive statistical test, classical assumption test, statistical analysis test, and hypothesis testing. The results of this study indicate that the quality of financial reporting, financial leverage, and company size affect the company's stock price.  

The aim of this research is to determine the effect of promotional programs on consumer purchasing decisions at the Cellcom Kaliboto Bener Purworejo cellphone shop. Data collection and surveys were carried out using questionnaires. Sampling used purposive sampling technique, totaling 32 people. This research uses data analysis methods, simple linear regression, coefficient of determination and t test (partial). Based on the research carried out, the result of the regression equation is Y= 15.889 + 0.768X, which means that if the promotional program variable is equal to zero then the level or magnitude of the variable the purchase decision at Cellcom was 15,889. The contribution of promotional program variables to purchasing decisions is 0.478 or 47.8%, while the remaining 52.2% is influenced by other factors, namely price, product quality, product design, service and others. Partially there is a positive and significant influence between promotional programs on purchasing decisions.  

The aim of this research is to determine the effect of the member get member program on increasing the number of students at biMBA AIUEO Gadjah Mada Purworejo. Data collection techniques in this research were obtained by observation, interviews, literature study and documentation. This research is included in descriptive qualitative research. The data analysis technique used in this research uses the instrument test used, namely simple linear regression analysis, coefficient of determination, and partial testing (t test). The results of the simple regression analysis are Y = 36.919 + 0.781 points, then the variable size for increasing the number of students is 0.781. The results of the calculation of the coefficient of determination show that R2 is 96.2% for the dependent (dependent) variable, namely the increase in the number of students. The remaining 3.8% increase in student numbers was influenced by other variables such as free registration promotions, coloring competitions and reading performances. The t test results obtained thitung is greater than ttabel  (250.035> 2.228) and the significant level is (0.000 < 0.05) so Ho is rejected and Ha is accepted, which means there is a positive and significant influence on the member get member program variable towards increasing the number of students at biMBA AIUEO Gadjah Mada Purworejo.  

The aim of this research is to find out what factors are most dominant in consumer decisions when purchasing a house at PT. Ardan Greenland Propertindo. The population used in this research were people who bought houses at PT. Ardan Greenland Propertindo, numbering 450 people. The sampling technique used is Simple Random Sampling, namely taking sample members from the population at random without paying attention to the strata in the population. The number of samples taken in this research was 10% of the total population (450 home buyers), namely 45 home buyers. Data collection techniques in this research were obtained by observation, interviews, questionnaires, documentation and literature study techniques. Data regarding research variables was obtained through questionnaires distributed to respondents to provide responses to questions/statements in the questionnaire. The research data that has been obtained will then be analyzed using Likert scale analysis techniques with the ideal score (if all respondents choose the answer with the highest score) which is 450 and the lowest score (if all respondents choose the answer with the highest score) which is 90. The results of this research show that the factors -factors that influence purchasing decisions at PT. Ardan Greenland Propertin includes product factors, price factors, promotional factors and location factors. The results of calculating respondents' answer scores using Likert scale analysis for each factor are as follows: 1) Product factors: obtained a score of 385:450×100%=85.56%, meaning that 85.56% of respondents agree that product factors influence consumer purchasing decisions, 2) the price factor obtained a score of 395:450×100%=87.78%, meaning that 87.78% of respondents agreed that the price factor influences consumer purchasing decisions, 3) the promotion factor obtained a score of 352:450×100%=78.22%, meaning that the respondents agree that promotional factors influence consumer purchasing decisions, 4) place/environment factors obtained a score of 366:450×100%=81.33%, meaning that respondents agree that place/environment factors influence consumer purchasing decisions. From the results of the analysis carried out above, it can be seen the magnitude of the influence of each of the four existing factors, and the most dominant factor influencing PT purchasing decisions. Ardan Greenland Propertindo is a price factor. This is shown by the total score of 395 or 87.78%. From the research results, the lowest score was obtained, namely on the promotion factor, therefore the researcher gave suggestions to create advertisements on the website specifically for PT promotions. Ardan Greenland Propertindo or can make banners on the road. 

Passenger satisfaction is the main goal in a business or business, especially sea transportation services. To achieve passenger satisfaction, of course, there are many important aspects that must be met by service providers. Aspects that must be met include the completeness of the ship's facilities and timeliness. The related variables in this study are the completeness of ship facilities and timeliness of passenger satisfaction on PT. Marina Logistik Sejahtera with multiple linear regression analysis method. All statements were tested with validity, reliability and had a correlation > 0.300 (valid) and had an alpha coefficient > 0.6 (reliable). From the calculation of the coefficient of determination, the value of Adjusted "R square" is 0.746 or 74.6% . It can be concluded that the completeness of ship facilities and timeliness have an effect of 74.6% on the satisfaction of ship passengers. The t test for the X1 variable shows that tcount > t table (6.709> 1.66071) with a sig value of (0.000 <0.05). In the t-test of the completeness of ship facilities and timeliness have an effect on satisfaction. ship passengers. While the results of the simultaneous test of the variables completeness of ship facilities and timeliness have a significant effect, it is proven that F count = 146.546 > f table = 1.77 by obtaining a sig value of (0.000 < 0.05) on ship passenger satisfaction, meaning that, the more complete ship and ship facilities are always on time making passengers feel satisfied using the transportation services provided by PT. Marina Logistik Sejahtera Balik 

This research aims to test the determinants of location, service quality and customer satisfaction regarding switching intention at "Wisma Sadewa" Pangenrejo, Purworejo. Data collection techniques in this research were obtained by observation, interviews, questionnaires, documentation and literature study. The sampling technique used was a saturated sample of 16 people. The research methods in this research were multiple correlation analysis, multiple regression, t test and determination test. The results of multiple regression testing obtained the equation Y=3.355+0.950X1+0.549X2+0.117X3. Adjusted R Square is 0.908, this number is called the coefficient of determination value. The determination value is 0.908 or 90.8%. Based on the level of significance, α=0.05 with a confidence level of 95% with ttabel =n-k-1, it is obtained that ttabel is 1,796, while the calculation results produce fhitung Location variable (X1) of 3.22 2 So the value of fhitung is greater than the value of ttabel (3,222 >1.796) or a sig value of 0.007 (P<0.05), so that the Location variable (X1) has a positive and significant effect on Switching Intention (Y). ttabel (1.886 >1.796) or a sig value of 0.030 (P<0.05), so that the service quality variable (X2) has a positive and significant effect on Switching Intention (Y). ttabel (0.619 <1.796) or a sig value of 0.548 (P>0.05), so that the customer satisfaction variable (X3) does not have a positive and significant effect on Switching Intention (Y). Based on the SPSS output results above, with a level of significance, α = 0.05 with a confidence level of 95% with fhitung =n-k-1, it is obtained that ftabel is 2,328, while the calculation results based on table 4.32 which are carried out produce fhitung The variable location, service quality and customer satisfaction is 50,399. So the value of fhitung is greater than the value of ftabel (50,399 > 2,328) or a sig value of 0.00 (P<0.05), so that the variables Location, Service Quality and Customer Satisfaction have a positive and significant influence on the Switching Intention (Y) decision. Based on the results The research conducted by the author provides suggestions for Wisma Sadewa continues to improve the quality of facilities and infrastructure as well as providing supporting services including technicians, cleaning staff and security staff to support customer satisfaction.  

This research aims to analyze "The Influence of Distribution Channels on the Sales Volume of Purebred Chicken Eggs from Wijaya Kusuma Farm, Megulung Kidul Village, Pituruh District, Purworejo Regency". This research uses data collection and survey techniques using questionnaires and literature study. The sample used purposive sampling technique. The variables related to this research are distribution channels on sales volume using a simple linear regression analysis method. All statements were tested using validity and reliability tests which had a correlation > 0.300 (valid) and had an alpha coefficient > 6.0 (reliable). Based on a simple correlation, it shows that the relationship between the distribution channel variable and the sales volume variable is 0.591, meaning that the distribution channel variable has a moderate relationship with the sales volume variable. The simple regression equation Y = 16.078+ 0.341X results in a constant of 16.078. Analysis of the coefficient of determination shows that the contribution results from distribution channel variables are 15.3% and 84.7% are influenced by other factors. The t test shows that H1 the distribution channel variable partially has a positive and significant influence on the sales volume variable. This is indicated by thitung being greater than ttabel(2.787 > 2.016) and a significant level of (0.008 < 0.05).  

Service quality is the main milestone in the company's running activities. In general, providing good and maximum service will encourage consumers to make purchasing decisions. This has a very good impact on the company's goal, namely to increase sales output. The aim of this research is to determine "The Influence of Service Quality on Purchasing Decisions at Flow Distro Prembun". Samples were taken using the Simple Random Sampling technique. The average number of Kios Insan Busana consumers per month can reach 400 people. As research subjects, 25% of all consumers at the Insan Busana Kiosk were taken, namely 100 consumers. From the t test, it can be concluded that the Service Quality variable has a positive and significant effect on the purchasing decision variable because it has a significance of 0.000 (P> 0.05) and the tcount > ttable (8,781 > 1.984). So hypothesis 0 which states that there is no positive and significant influence between service quality and purchasing decisions is rejected and the working hypothesis (Ha) which states that there is a positive and significant influence between service quality and purchasing decisions is accepted.  

The aim of this research is to determine the effect of price and service quality on competitive advantage at Babershop Koko in Nampurejo Purwodadi village. The analytical technique used to analyze the effect of price and service quality. Data collection and surveys were carried out using questionnaires. The sample used a purposive sampling technique, totaling 50 respondents. This research uses data analysis methods, multiple regression, coefficient of determination t test and f test. Based on the research carried out, the results of the regression equation Y = 0.671 + 0.041X1 + 0.298X2 are finally obtained. This means that if the value of the price and service quality variables is objectified research is equal to zero, then the level or magnitude of the competitive advantage variable at Babershop Koko is 0.671. The results of the analysis of the coefficient of determination (R Square) explain that 21.1% is influenced by price and service quality variables, while 78.8% is influenced by other factors that were not studied, for example promotional factors and other consumer loyalty and so on. The results of partial hypothesis testing (t test) show a positive and significant influence between price and service quality on competitive advantage. The results of simultaneous hypothesis testing (f test) show a positive and significant influence between the price and service quality variables on competitive advantage. 

The purpose of this research is to find out whether there is a positive and significant influence between book collections and services on students' interest in reading at the library of SMP Negeri 36 Purworejo. This research is quantitative descriptive research because research data uses numbers to conclude the results of research conducted at the library of SMP Negeri 36 Purworejo. The population of this study were all students at SMP Negeri 36 Purworejo, totaling 571 students. The sample used was 58 students using accidental sampling. This research used data analysis methods, namely: multiple linear regression, coefficient of determination, t test and F test. The results of calculating the coefficient of determination show an adjusted R Square figure of 0.131 or 13.1%. This figure means that 13.1% of students' reading interest is influenced by book collection and service variables. Meanwhile, the remaining 86.9% is influenced by other variables outside the research such as personality factors, gender, level of education, health, mental state and habits. This research shows the results of t tabel of 1.672, t hitung of the book collection variable of 1.962 with a sig value of 0.055 so that H1 is accepted . Meanwhile, t hitung service variable is 1.412 with a sig value of 0.163 so that H2 is rejected. The f test shows a figure of ƒ tabel3.158 with a confidence level of 0.05 and ƒ hitung of 5.371 with a sig value of 0.007, then H3 which states that simultaneously there is a positive and significant influence between the book collection and service variables on students' reading interest in the library of State Middle School 36 Purworejo is accepted and Hodi is rejected. 

This research aims to find out whether there is a positive and significant influence between Grab's service quality and consumer satisfaction during the Covid-19 pandemic. The population in this research is Grab users in Purworejo whose number is unknown, while the number of samples in this research is 40 people. Data collection techniques in this research are observation, questionnaires, documentation and literature study. Data analysis techniques use simple correlation tests, simple linear regression, determination tests and t tests. The results of a simple correlation test show that service quality X and customer satisfaction Y have a significance value of 0.659, which means that the two variables have a strong correlation. Based on a simple linear regression test, the resulting regression coefficient X is 0.410, which states that if there is an increase of 1 point in the value of the regression coefficient The results of the determination test showed that the coefficient of determination (R2) had a value of 0.435, this means that 43.5% of consumer satisfaction was influenced by the service quality variable, while 56.5% was influenced by other variables that were not studied, for example competition with other online motorcycle taxis, tariffs. or price, customer experience in using grab services, etc. Based on the t test, tcount is 5.408 while ttable is 2.02439. With these data, tcount > ttable, so it can be concluded that the Ha hypothesis is acceptable, namely that there is a significant influence between service quality variables on customer satisfaction and can be accepted. 

The aim of this research is to analyze the influence of compensation and competency on teacher performance at SD Muhammadiyah Kutoarjo. The population of this research is Permanent Foundation Teachers (GTY) who work at SD Muhammadiyah Kutoarjo. The sample used with a saturated sampling technique was 26 people. This research uses data analysis methods, namely: Likert scale, validity test, reliability test, simple linear regression analysis, coefficient of determination, t test and f test. Based on the research carried out, the results of the regression equation Y = 2.612 + 0.599 (X1) + 0.486 (X2). This means that if the value of the compensation and competency variables in the research object is equal to zero, then the level or magnitude of the teacher performance variable is 2.612. The results of the analysis of the coefficient of determination explain that 63% of compensation and competency variables contribute to teacher performance. Meanwhile, the remaining 37% is influenced by other variables that were not researched, such as ability, motivation, leadership, organizational relationships, and so on. The results of the partial hypothesis test (t test) explain that the compensation variable has a positive and significant effect on teacher performance, while the competency variable does not have a positive and significant effect on teacher performance. The results of simultaneous hypothesis testing (f test) produce a positive and significant influence between compensation variables and competency variables on teacher performance.