Donny Dharmawan
Universitas Krisnadwipayana

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Application of Principal Component Analysis and Maximum Likelihood Estimation Method to Identify the Determinant Factors Intention to Use of Paylater in E-Commerce Faizatul Fajariah; Hisarma Saragih; Donny Dharmawan; Loso Judijanto; Musran Munizu
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.425

Abstract

This research aims to analyze which factors are most determining in influencing interest in using pay-later. This type of research is multivariate analytical research using a quantitative approach. All pay-later service customers who engage in e-commerce make up the study's population. Purposive sampling and non-probability sampling were employed in the sample-taking process based on this study. There are one hundred samples. Researchers have made observations to gather data. The author intends to employ principal component analysis and maximum likelihood estimation techniques for data analysis. Following the completion of the study, the following findings were made. The principal component analysis method's RMSE value is 0.02. The maximum likelihood estimates method's root mean square error is 0.015. Therefore, it can be said that the principal component analysis approach is appropriate for usage because it can explain factor formation due to its strong factor loading value and low RMSE value. The influence of advantages is the most important element determining interest in pay-later utilizing the principal component analysis method since it has the highest loading factor value in decision-making.
Analysis of The Influence of Perceived Compatibility, Perceived Ease of Use and Perceived Usefulness on Intention to Use Mobile Banking Digital Transaction Services of Banking Customers Nurhasanah Nurhasanah; Ansir Launtu; Donny Dharmawan; Silvia Ekasari; Puwanti
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.432

Abstract

Among Asian nations, Indonesia is ranked fifteenth for internet usage. There are currently over two million mobile application subscribers of the bank taken in this study, a 80% rise since the beginning of 2021. The purpose of this study is to ascertain the degree to which consumer decisions about mobile banking are influenced by the Technology Acceptance Model (TAM) hypothesis. Descriptive analysis with a quantitative approach is used in this study. Utilizing the dimensions and indicators of each variable, data analysis is performed by determining the degree to which the independent variables—perceived ease of use, perceived usefulness, perceived risk, and perceived compatibility—have an impact on the dependent variable, or consumer decisions. Multiple regression analysis is used in this work. Because of the study's noteworthy findings, Ha is accepted and H0 is denied. The findings indicated that the decision to utilize mobile banking is somewhat influenced by perceived ease of use. The decision to adopt mobile banking is influenced in part by perceived utility. One factor influencing the choice to adopt mobile banking is perceived risk. The choice to utilize mobile banking is somewhat influenced by perceived compatibility. The choice to utilize mobile banking is simultaneously influenced by perceptions of compatibility, risk, utility, and convenience of use.
Analysis of the Influence of Digital Information Quality, Technology Performance Expectancy, Technology Effort Expectancy, Price Value and Social Influence on Intention to Use Coffee Shop Mobile Application Syailendra Reza Irwansyah Rezeki; Donny Dharmawan; Lalang Saksono; Silvia Ekasari; Abdurohim
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.434

Abstract

The Purpose Of This Study Is To Examine How Factors Such As Pricing Value, Habit, Social Influence, Performance Expectancy, Information Quality, And Facilitating Conditions Affect Users' Ongoing Intention To Use Mobile Apps. Researchers Employed A Single Cross-Sectional Design For Data Gathering In This Study, Utilizing A Conclusive Descriptive Research Approach. Mobile Application Users Made Up The Study's Population. Thus, Judgmental Sampling Will Be The Type Of Sampling And Non-Probability Sampling Will Be The Technique Employed. In This Study, 100 Respondents Made Up The Sample. Multiple Linear Regression Analyses Are Used In This Research To Examine Hypotheses. The Continual Intention To Utilize Is Unaffected By The Information Quality Variable. Continuous Intention To Use Is Not Influenced By The Performance Expectation Variable. Continuous Intention To Use Is Not Influenced By The Effort Expectancy Variable. The Ongoing Intention To Use Is Unaffected By The Social Impact Variable. Continuous Intention To Use Is Influenced By The Facilitating Conditions Variable. The Ongoing Intention To Utilize Is Independent Of The Trust Variable. The Ongoing Intention To Use Is Influenced By The Price-Value Variable. The Continuous Intention To Use Is Influenced By The Habit Variable.
Analysis of The Effect of Price Discount On Technology Perceived Quality, Technology Perceived Value and Perceived Savings on Intention To Use Digital Payment Application Gopay Ribka Sari Butar Butar; Donny Dharmawan; Deni Amelia; Musdirwan; Uli Wildan Nuryanto
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.438

Abstract

The purpose of this study is to examine how consumers' purchase intentions are affected by price discounts by examining how they are regarded to be beneficial, valuable, and high-quality. This study used a conclusive research design and a descriptive research type, and it was quantitative in nature. This study employs a single cross-sectional design so each sample will be sampled just once. The target population for this study was everyone who had done retail shopping. There were 100 samples used in this investigation. Online questionnaires were distributed by researchers in order to gather data. Researchers processed pre-test data using SPSS and factor analysis. Research leads one to the following conclusions on the study's findings: Discounts on prices positively impact the perceived savings. Discounts in price have a detrimental effect on the perceived quality. Price reductions positively impact other price reductions. Discounts in price positively impact the perceived savings. Discounts in price positively impact the perception of quality. Perceived value is positively influenced by the price reduction effect. In terms of perceived savings, perceived quality, and perceived value, the price discount influences the mediator and positively effects price discounts. Perceived value is positively impacted by perceived savings. Perceived value is positively impacted by perceived quality. Purchase intentions are positively impacted by perceived value.
Application of User Experience Questionnaire Method to Evaluate Customer Experience When Conducting Transactions with Digital Wallets Ribka Sari Butar Butar; Donny Dharmawan; Umi Kalsum; Musran Munizu; Ngurah Pandji Mertha Agung Durya
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.441

Abstract

The purpose of this study is to determine how to use the user experience questionnaire (UEQ) to assess the digital wallet user experience. This research employs a quantitative methodology. In order to collect data for this study, surveys, observation, and literature reviews were used. All of the participants in this study are users of digital wallets. In this study, 100 samples were drawn using simple random sampling as the sampling technique. The two types of data analysis were statistical analysis and demographic analysis. The author examined demographic information first. Second, the author used the UEQ Data Analysis Tool to perform statistical analysis. Testing for validity and reliability was done at this point. The discussion's outcomes allow for the following deductions to be made: This study was successful in assessing how digital wallets performed across the board on the user experience questionnaire (UEQ). Based on evaluation findings using UEQ, this research was successful in offering suggestions for enhancing the user experience in digital wallets. The attractiveness and novelty parts of the user experience are the areas that are advised to be improved upon, since they continue to receive below-average benchmark scores.
Application of The Unified Theory of Acceptance and Use of Technology Method to Analyze Customer Acceptance Level of Electronic Parking Payment Systems Frans Sudirjo; Luh Komang Candra Dewi; Donny Dharmawan; Balla Wahyu Budiarto; Amrin
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.442

Abstract

This research aims to find out which variables most influence user acceptance of electronic payment systems. Researchers used a quantitative approach in their research. The students who used motorcycles and electronic payment methods made up the study's population. sampling strategy that combines purposive sampling with the non-probability sampling technique. There were one hundred responders in the study's entire sample. Researchers used observation, interviews, surveys, and related literature to gather the information they needed for this investigation. The elements that were demonstrated to have an impact on users' acceptance of electronic payment systems were behavioral intention, use behavior, social influence, performance expectancy, effort expectancy, and facilitating conditions, according to the research findings. The variable that most influences user acceptance of electronic payment systems is facilitating conditions for use behavior, which shows that users repeatedly use electronic payment systems because the management has adequate facilities and infrastructure and is commonly used in other public parking lots, such as card readers for tapping in and exit parking, as well as staff who help if there are difficulties and sufficient knowledge in using them.
Application of Exponential Comparison Method in Designing Decision Support Systems For Performance and Promotions Assessment in Banking Industry Ansir Launtu; Betty Rahayu; Donny Dharmawan; Fahrizal; Ngurah Pandji Mertua Agung Durya
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.446

Abstract

This research aims to find out how to design a decision support system for evaluating employee performance as a promotion. Data collection in this research used observation, interviews, and a literature study. The population in this study were employees. Rapid Application Development (RAD) is the system development method that the author used to create this application. The tools that the author uses in system design are UML (Unified Model Language) diagrams to show the process and data flow to be designed; Adobe Dreamweaver CS6 is used to design applications; Wamp Server is used as a webserver; and Diaportable is used to illustrate UML diagrams. Based on the results of the discussion, the following were obtained: The decision support system with MPE analysis (Exponential Comparison Method) aims to find employees who are worthy of promotion. The assessment system consists of seven, including education, work performance, discipline, communicativeness, cooperation, reasoning, encouragement of achievement, and responsibility for self-assessment, which are carried out by HRD staff and supervisors, while the HRD manager is only responsible for the decision-making process. The results of this research are in the form of graphs and accumulated MPE assessments, which show the ranking order of each candidate employee.
Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia Karsim Karsim; Donny Dharmawan; Elfis Mus Abdul; Siti Zulaika; Ngurah Pandji Mertua Agung Durya
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.453

Abstract

The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.
Analysis of The Influence of Situational Digital Advertising Through Online Video Sharing and Social Media Platform on Customers Intention to Purchase at E-Commerce Application Shopee Putri Ekaresty Haes; Donny Dharmawan; Desman Serius Nazara; Mokhamad Arwani; Eva Yuniarti Utami
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.455

Abstract

This research aims to determine the effect of advertising exposure on shopping interest. The paradigm used in this research is the positivism paradigm. This study uses a quantitative approach. This research uses non-experimental research methods with a type of method, namely the survey method. The population in this study were students. The number of samples in this research was 100. The primary data for this research uses data obtained from a questionnaire that has been distributed in the form of a Google Form. The linear regression test in this research uses product moments with SPSS version 24 for Windows. Based on the findings and discussion of the research that has been carried out, it can be concluded that the level of advertising exposure is in the medium category with a percentage of 60%. The level of interest in shopping through applications is also in the medium category, with a percentage of 40%. From the research results, it can be concluded that advertising exposure influences shopping interest. Based on the results of the t-value, namely 3.5 > 1.98, The coefficient of determination in this equation has a positive value of 12.5%. This figure means that the advertising exposure variable does not have a big influence on shopping interest at 12.5%. Other factors that were not considered in this study contributed the remaining 87.5%. So the conclusion is that if the advertising exposure variable increases, then interest in shopping through the application will also increase. Vice versa, if advertising exposure decreases, shopping interest also decreases.
Analysis of the Influence of Customer Perceptions of the Ease-of-Use Digital Electronic Money on Intention to Use Digital Wallet Application Ovo Frans Sudirjo; Donny Dharmawan; Audisty Prana Hardayu; Ita Nurcholifah; Yohanes Jhony Kurniawan
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.461

Abstract

The purpose of this study is to ascertain how students' attitudes about electronic money affect their desire to use e-wallets. This study employs a descriptive-quantitative methodology. In this study, a survey method was employed. All of the participants in this study were students. A proportionate stratified random sample strategy was employed in this study. The following methods of gathering data were employed in this study: questionnaires, interviews, and documentation. The coefficients table shows that this study used the Windows version of SPSS to calculate the regression. The analysis and debate revealed that students' attitudes toward electronic money have a big impact on whether or not they are interested in utilizing e-wallets. The results of a basic linear regression analysis test demonstrate this, indicating that H0 is rejected if sig ≤ 0.05 with a sig value of 0.001. This is also consistent with the coefficient of determination test results, which indicate that the R square value is 0.16. It may be concluded that students' opinions about electronic money and enthusiasm in utilizing e-wallets are influenced by 16%. Technological innovation, perceived benefits, and perceived convenience all have a big impact on interest in utilizing e-wallets.