Publication Search

The Lembu Sora Building Monument and the Pure Milk Monument are monuments located in Boyolali Regency, Central Java which will be used as ready to wear motifs with the aim of introducing the area as the largest producer of cow's milk in Central Java. Taking pictures of the motifs uses deformation techniques and distortion techniques which are realized by polyflex screen printing techniques on ready to wear. Based on the problems and objectives, this study aimed to determine the application of the image of the Lembu Sora Building Monument and Pure Mil Monument as a motif on ready to wear with Polyflex Screen Printing Technique. The research methods used were observation, documentation, and literature review. This final project was completed by: creating designs, preparing tools and materials, conducting trials on selecting fabrics and polyflex types, determining sizes, creating ready-to-wear patterns, cutting fabrics, pressing the coating material, carrying out the polyflex screen printing process, ready-to-wear sewing process, and completion. Furthermore, the polyflex screen printing process on ready-to-wear included the following steps: creating polyflex screen printing designs, printing designs with a cutting machine, peeling polyflex (polyflex cleaning), gluing polyfex on the fabric, and finishing, which was the process of removing the masking from the polyflex sheet. Researchers suggest that during the pressing process on polyflex, it is required to alter the temperature and time with the type of polyflex. According to the recommendation that can be utilized, the pressing process on polyflex for temperature and duration must be adjusted to the type of polyflex.

Making evening party dresses that must be considered is the pattern. Patterns are used as examples to avoid mistakes when cutting fabric. Pattern making must be adjusted to the size of the body shape of the clothing model. Patterns are very influential on the results of the clothes that will be made, therefore this study uses two different types of pattern techniques, namely draping pattern techniques and construction pattern techniques. This study aims to determine which pattern technique is good for making evening party dresses. This research uses the R&D (research and development) method or can be called research and development. The trial results show that using the draping pattern is more efficient than the construction pattern technique. The practical construction pattern technique has a weakness at the waist, namely the location of the waist that rises from the original waist. After making an assessment through the validator, the author makes evening party dresses using the pattern technique that has the highest value. The making of evening party dresses uses two pattern techniques, namely on the body pattern using a draping pattern technique and on the skirt using a construction pattern technique.

Making pralines filled with dried starfruit with the addition of cherry leaf powder, is an innovation in developing chocolate products, which are varied with candied starfruit filling. In the processing, candied star fruit and chocolate are added with cherry leaf powder, to add aroma to the pralines. The objectives of this study are: 1) To determine the characteristics of candied star fruit with the addition of cherry leaf powder. 2) Knowing the characteristics of candied star fruit pralines with the addition of cherry leaf powder. 3) Knowing the public's acceptance of pralines filled with candied star fruit with the addition of cherry leaf powder. The research methods used are library, experimental, documentation, organoleptic, and hedonic methods. Data analysis using descriptive. The results showed the characteristics of dried star fruit candied with the addition of cherry leaf powder, textured dry on the outside and soft on the inside, sweet taste like raisins, brownish yellow in color, and scented with cherry leaves. Characteristics of pralines filled with candied starfruit with the addition of cherry leaf powder, sweet taste, distinctive aroma of chocolate and cherry leaf powder, dense and slightly rough texture, dark brown color. Public acceptance of candied starfruit pralines with the addition of cherry leaf powder through hedonic test results, the most preferred and accepted by the community is product code 657. Suggestion, it is necessary to test the shelf life, and test the nutritional content of pralines filled with candied starfruit with the addition of powder cherry leaf.

The aims of this study were 1) to determine the level of preference for the taste, aroma, texture and color of chocolate lava cake made from sorghum flour and cassava flour; and 2) knowing the composition of the chocolate lava cake ingredients based on sorghum flour and cassava flour which is the most preferred by the panelists. The methods used consist of library methods, experiments and hedonic tests. Result of the research to be explained descriptively. The results showed that the most preferred product by the panelists was 50% sorghum flour and 50% cassava flour. The average value of the product preference level is 4.73±0.81 (very like) for taste, 4.20±0.66 (very like) for aroma, 4.47±0.63 (very like) for texture and 4.73±0.58 (very much like) for color. The composition of chocolate lava cake is classified into the composition of the ingredients for the cake and the cake filling. The composition of the cake ingredients consists of 450 g dark cooking chocolate, 200 g brown sugar, 170 g olive oil, 50 g cocoa powder, 30 g sorghum flour, 30 g cassava flour, 20 g milk powder, 4 eggs, and ½  tsp baking powder. The composition of the cake filling ingredients consists of 200 g dark cooking chocolate and 15 g olive oil. It can be concluded, the selected product can be an alternative to healthy food products.

The purpose of this study is 1) Knowing the right recipe for cheese bread stick products susbtitusi green bean flour and red chili powder; 2) Knowing the difference in the quality of cheese bread stick substitution green bean flour and red chili powder with different percentages seen from the aspect of color, aroma, taste and texture; 3) Know the level of people's fondness for cheese bread stick substitution  green bean flour and red chili powder. This research uses literature methods, experiments, documentation, hedonic tests and data analysis. The experiment was done three times. The number of panelists who filled out the questionnaire was 35 untrained panelists. The results showed that the most preferred cheese bead stick product and red chili powder is a cheese bread stick product with a percentage of green bean flour substitution as much as 50%. The most preferred green bean flour substitute cheese bread stick recipe and red chili powder include 50 g wheat flour, 50 g green bean flour, 40 g edam cheese, 40 g margarine, 24 g egg whites, 2.5 g red chilli powder, 1 g salt and 0.25 g baking soda.

Bread has many types, one of which is sweet bread, the main ingredient in processed sweet bread is wheat flour. The high use of wheat flour causes the number of wheat imports in Indonesia to be high. The decrease in wheat imports can be reduced by using local food ingredients such as corn flour, mocaf flour, and binahong leaf jam. This study aims to determine (1) the process of making gluten-free sweet bread from corn flour, mocaf flour, and binahong leaves. (2) Gluten-free sweet bread recipe from corn flour, mocaf flour, and binahong leaves (3) The level of public preference for gluten free sweet bread products from corn flour, mocaf flour, and binahong leaves. The method used in this study is the method of literature, experiments, documentation, and sensory testing. The percentage of using cornflour and mocaf flour in making glute- free sweet bread is 50%:50%, 70%:30%, and 80%:20%, of the weight of wheat flour. The results showed that gluten-free sweet bread products were the most preferred with a ratio of 70% cornflour and 30% mocaf flour.

Cookies are a type of patisserie product that is in great demand by the public. Most types of cookies need wheat flour as the basic ingredient, so that causing increased imports of wheat flour. To get around the amount of use of wheat flour so can be used flour from local food ingredients such as yellow sweet potato flour. Purpose of the research: 1) Knowing the composition of the ingredients that used in the making of oatmeal cookies with yellow sweet potato flour substitution; 2) Knowing the process of making oatmeal cookies with yellow sweet potato flour substitution; 3) Knowing the level of people's preference towards oatmeal cookies with yellow sweet potato flour substitution. The methods used in this research are the method of literature, experimentation, documentation, questionnaire, sensory testing, hedonic testing and data analysis. Yellow sweet potato flour used was 15%, 30%, 45% of the weight of the flour. The results showed that oatmeal cookies with yellow sweet potato flour were the most preferred and accepted by the panelists as products with the substitution of yellow sweet potato flour as much as 30%.

Perhitungan harga pokok produksi (HPP) adalah salah satu aspek penting dalam menjalankan kegiatan usaha dan salah satu hal yang perlu diperhatikan  untuk menentukan harga jual produk. Selain itu perhitungan harga pokok produksi dapat menunjukan besar laba yang diperoleh dari setiap produknya. Tujuan penelitian ini adalah untuk mengetahui perhitungan harga pokok produksi dan harga jual dari setiap produk di UMKM Empat Bintang.  Perhitungan harga pokok produksi yang digunakan adalah metode harga pokok proses (Process costing method), sedangkan untuk penentuan harga jual produk menggunakan metode cost plus pricing. Sistem informasi penentuan harga pokok produksi dibutuhkan untuk penentuan harga jual produk yang tepat, menghitung biaya produksi yang dibebankan setiap produk supaya mengetahui perolehan laba yang sesungguhnya. Rancang bangun sistem informasi perhitungan harga pokok produksi dengan bahasa pemrograman Microsoft Visual Studio.Net 2010, XAMPP sebagai server dan MySQL sebagai database. Hasil yang diperoleh dari sitem informasi ini yaitu dapat memperhitungkan harga pokok produksi sesuai jenis produk 

TheobjectivestobeachievedbyobserversintheresearcharefirsttoimprovethewelfareofwomeninincreasinghouseholdeconomicproductivityinPandanrejovillage.Second,toincreasethebeautyofGunungGajahvillagetourismwhichiscrowdedwithvisitorsandtoincreasethewelfareofthevillage.Third,tocreatebeautyandpreservenature.Thisresearchwascarriedoutthroughanassessmentprocessbasedonresearchcoveringfourstages:planning,implementation,observation,reflection.Fortheresultsoftheanalysisandinitialstudyoftheroleofwomenwhosucceededinincreasingtheeconomicproductivityofvillagehouseholds,therewas35%villagetourism(10-15people).Aftertheinvolvementandimportantroleintheinitialtouristvillage,thetourismopeningbecame50%(25people)andbecame75%(35people).Thus,itcanbeconcludedthattheexistenceoftheGunungGajahKaligesingtourismvillageinPurworejocanincreasetheroleofwomeninhouseholdeconomicproductivityinPandanrejoVillage.

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 system quality and information quality on user satisfaction of the Siskeudes application in Bruno District. The research design used in this research is a quantitative approach. The sampling used was using the Slovin formula. The error rate was 10% from 122 PPKD (Village Financial Management Implementers) spread across 18 villages in Bruno District so that a total of 54 respondents were obtained. The data used are primary data and secondary data with data collection techniques by conducting observations, interviews, distributing questionnaires, documentation and heritage studies. Hypothesis testing was carried out using analysis with the help of the SPSS version 23 application program. The results of hypothesis testing showed that partially there was a positive and significant influence between system quality on system user satisfaction, partially there was a positive and significant influence between information quality on system user satisfaction, simultaneously there was a positive and significant influence between system quality and information quality on satisfaction. siskeudes users. Keywords: ,  

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). 

This research aims to determine the influence of Intellectual Capital consisting of Value Added Capital Employed (VACA), Value Added Human Capital (VAHU) and Structural Capital Value Added (STVA) and Firm Size on manufacturing companies listed on the BEI for the 2016 – 2018 period. This research uses a population of manufacturing companies listed on the Indonesia Stock Exchange (BEI) for the period 2016 – 2018. This research uses secondary data as research material and a purposive sampling method to determine the sample to be used and produces a final sample of 162 manufacturing companies. After carrying out the sampling criteria, 8 companies were used as samples. The data in this study were analyzed using the SPSS program. The analysis used is descriptive analysis, classical assumption testing, statistical analysis and hypothesis testing. The results of this research show that Value Added Capital Employed (VACA), Value Added Human Capital (VAHU) and Structural Capital Value Added (STVA) have a positive influence on profitability. Meanwhile, firm size shows different results. Firm size has no effect on profitability. 

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.  

Economic developments in the business world are very fast and increasingly strong, resulting in demands for companies to continue to carry out various kinds of innovations to improve performance and expand company businesses so that they are able to compete and survive in the business world. Research with the title "The Influence of Good Corporate Governance (GCG) on Company Financial Performance”. This research uses a population of pharmaceutical sub-sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) for the 2017-2018 period. The purpose of this research is to examine the influence of Institutional Ownership on Company Financial Performance, to examine the influence of Managerial Ownership on Company Financial Performance and to examine the influence of Institutional Ownership and Managerial Ownership on Company Financial Performance. The data sources used are secondary data and a purposive sampling method to determine the sample. will be used and produce a final sample of 10 manufacturing companies. After carrying out the sampling criteria, 6 companies were used as samples. The data in this research were analyzed using the SPSS program. The analysis used was descriptive analysis, classical assumption testing, statistical analysis and hypothesis testing. Based on the data analysis carried out, it was concluded that institutional ownership had a positive effect on financial performance, managerial ownership had no significant effect on financial performance, institutional ownership and managerial ownership had a positive effect on financial performance. 

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.