Agus Cahyo Nugroho
Soegijapranata Catholic University

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Journal : Sisforma: Journal of Information Systems

Performance and Transaction Monitoring Dashboard Website Based PT Emporia Digital Raya Evania Chrestella Albertina; Albertus Dwiyoga Widiantoro; Agus Cahyo Nugroho
SISFORMA Vol 11, No 1: May 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i1.3520

Abstract

Performance and Transaction Monitoring Dashboard Website Based PT. Emporia Digital Raya was to find out performance of business partners, area leader, main dealer and approval of business partners that have been acquired for the company. This dashboard is made to make it easier for companies and product owners to monitor acquisition, transactions through an integrated and non-manual system to minimize errors. Performance and Transaction Monitoring Dashboard was developed using the initial UI design method to describe all the functions that will be available on the web, then developed with reactJS library and JavaScript language, API, and PostgreSQL as database. The testing phase uses technology adoption with a focus on validity, reliability, and AVE test variables after distributing questionnaires to all website users, internal team of PT. Emporia Digital Raya using quantitative methods by classifying each question in the questionnaire. Then the result is that there are several test variables that are not valid in the validity test because they have an item validity value or the validity of the question variable is below 0.4, then the variable must be removed and retested, and after the second test, the results show that the variable has the above item validity value. 0.4 so it is considered valid. In the first validity test, the variable E was declared invalid due to an error in the classification of the questionnaire and did not represent an indicator, so that the variable E was not included in the next test. In the reliability test, only BI and EE variables have high or acceptable Cronbach alpha values, while FC (poor) and PE (unacceptable) or unreliable due to the incorrect classification of questions on the questionnaire causing the variables to be unreliable to be used in further research. In the correlation test, only PE and FC were significantly correlated with BI, while EE was not significantly correlated due to errors in the classification of the questionnaire so that it did not match the variables. 
Development of School Budget Planning and Revenue Accounting Information System at Kanisius Foundation Surakarta Branch Using Agile Method Novita Delvia; Agus Cahyo Nugroho; G. Freddy Koeswoyo
SISFORMA Vol 11, No 1: May 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i1.10930

Abstract

Kanisius Foundation Branch Surakarta operates in the education field and covers 38 schools. The school's budget planning and revenue was drawn up at the beginning of the new academic year and reported using the Microsoft Excel application. Some schools have different data formats and structures, which cause data management is not well integrated. Based on these issues, the purpose of this research is to help the Kanisius Foundation Branch Surakarta by developing a School Budget Planning and Revenue Accounting Information System (RKAS), including billing and payment of school fees. This research uses agile methods. The first phase is planning, starting with an overview of RKAS revenue flows, student bills and payment flows. Then compile a Chart of Accounts (COA), create use case and create activity diagrams to design the database design and the basic framework of the program. Then the system is implemented using Laravel, followed by software testing with black box testing. Then the system documentation and deployment. The last stage is maintenance which is performed periodically at a certain time. The School Budget Planning and Revenue Accounting Information System will help Kanisius Foundation Branch Surakarta in management data and make accurate decisions through well-integrated data.