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All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal ilmiah teknologi informasi Asia
I Gusti Agung Pramesti Dwi Putri
STMIK PRIMAKARA
Computer Science & IT

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Analisis Manfaat Investasi Teknologi Informasi Nirmala Hadir pada Koperasi Nirmala Luh Ketut Kartika Candra Dewi; I Gusti Agung Pramesti Dwi Putri; Linda Yupita
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 2 (2023): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i2.8562

Abstract

The rapid development of Information Technology (IT) is currently creating new habits and facilitating life activities from all aspects which is a challenge for various parties, including non-bank financial companies, to be prepared to face business competition through the application of information technology. One of the companies investing in information technology is the Nirmala Cooperative by presenting Nirmala Hadir e-commerce to support its business units and prioritize convenience for its members. When developing digital technology, companies need a large capital investment with an uncertain percentage of return and the measurement is quite difficult to do so an analysis of the benefits of technology investment is needed to ensure that the benefits obtained are higher than the negative impacts that arise. The method applied in this research is a qualitative descriptive approach which in its analysis uses the Ranti's Generic IS/IT Business Value and Cost Benefit Analysis (CBA) methods. The results of research with Ranti's Generic IS/IT obtained 7 categories and 9 sub-categories of benefits and CBA calculations obtained an ROI value of 7.93%, NPV of IDR 11,731,529, Payback Period of 0.929 (339 days) and BCR of 9.87 which indicates that the technology investment made by the Nirmala Cooperative has a good profitability value with a payback period of less than one year.
Klasterisasi Tingkat Penjualan pada Startup Panak.id dengan Algoritma K-Means Sutha Wijaya Harjono; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.888

Abstract

Sales data processing is one way for companies to support future decision making. One way to process sales data is to cluster with data mining techniques that are present as a company solution to be able to process sales data that is owned by carrying out processes that generate new knowledge. Knowledge obtained from owned data is commonly referred to as Knowledge Discovery in Database (KDD) which consists of steps such as; data selection, data cleaning, pattern search (data mining), and interpretation. In this study, the author will discuss data mining techniques and applications using the K-Means algorithm which is applied in the Python programming language. The research was conducted at the startup company Panak.id by accessing data on sales of processed livestock products for the period July 2021 – July 2022. The results showed that the level of product sales was dominated by products that were in the less-selling category. This shows that of the many types of products offered by Panak.id, there are still many products that are of little interest to the public. From this knowledge, the company can make decisions related to sales strategies and innovations in products that are not in demand with the hope of further increasing sales. In addition, the company can also use this knowledge as a prediction in terms of stock control so that products that are not selling well can be monitored more closely to avoid stock buildup in warehouses.
Analisis Behavioral Intention dan Use Behavior Quick Response Code Indonesian Standard (QRIS) Pada UMKM Dengan Metode UTAUT 2 di Kota Denpasar Ni Kadek Dwi Febriani; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.890

Abstract

This study aims to determine the factors that can influence the intention to use and behavior of MSMEs in Denpasar City in using QRIS with the Unified Theory of Acceptance and Use of Technology (UTAUT) 2 Model. This research uses primary data sources with a sample of 100 respondents, taking sample using probability sampling that is simple random sampling. Test the validity and reliability test of the instrument was carried out with SmartPLS 3.0 software. Data were analyzed using the Partial Least Squares Path Modeling (PLS-SEM) method with SmartPLS 3.0 software. The results of the tests carried out show that the accepted hypothesis is that the variables that have an influence on behavioral intentions are effort expectations, facilitating conditions, hedonic motivation, and price values. The other hypothesis that is accepted is the variables that influence use behavior, namely habits and behavioral intentions. There are hypotheses that are rejected, namely performance expectancy on behavioral intention, social influence on behavioral intention, facilitating conditions on use behavior and habit on behavioral intention. Keywords: Financial Technology; QRIS; UTAUT 2; Behavior Intention; Use Behavior; PLS
Co-Authors Linda Yupita Luh Ketut Kartika Candra Dewi Nengah Widya Utami Ni Kadek Dwi Febriani Sutha Wijaya Harjono