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Tam Model on Digi Banking BJB in Bandung Fitri Anggraeni, Annisa; Rismunandar, Ichsan; Ahada, Roby; Lasminingrat, Anne; Candra Devi, Meita
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 3 (2025): (SIJDB) Siber International Journal of Digital Business (January - March 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i3.141

Abstract

The purpose of this research is to know the perceived usefulness, perceived ease of use, attitude towards using and behavioral intention to use the DIGI app and also to understand the influence of perceived usefulness and perceived ease of use on attitude towards using and its implication on behavioral intention to use. The type used in this research is descriptive and comparative. The research type is descriptive survey and explanatory survey with quantitative method. The sampling technique used in this research is non-probability sampling in the form of accidental sampling by distributing questionnaires through Google Form. The tool that was used for data analysis is IBM SPSS Statistics 25. The result of this research shows that perceived usefulness, perceived ease of use, attitude towards using and behavioral intention to use the DIGI app is said to be quite good. Perceived usefulness and perceived ease of use simultaneously and partially influenced attitude towards using and behavioral intention to use significantly while attitude towards using influenced behavioral intention to use significantly.
Implementation of K-Means Algorithm with Clustering Method to Data Management of Covid-19 Case in West Bandung Using Orange Application Sitorus, Michael; Indah Purnamasari, Windi; Ebenhaezer Gurning, Benyamin; Ahada, Roby
ENCRYPTION: Journal of Information And Technology Vol. 1 No. 2 (2023): ENCRYPTION: Journal of Information And Technology, January 2023
Publisher : ASIAN PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58738/encryption.v1i2.385

Abstract

Covid-19 cases in Indonesia have not disappeared to the until now. Coronavirus has spread to almost all provinces in Indonesia, one of the province is West Java. There are 27 regencies/cities in West Java that have become the spread of the Covid-19 case, one of which is West Bandung Regency. To make it easier for the regional government of West Bandung Regency to take action in an effort to prevent the spread of Covid-19, research is needed to determine the level of distribution of Covid-19 cases which are divided into 3 clusters, namely high, medium and low clusters. Researchers analyzed using the data mining method with the K-Means Clustering algorithm through the Orange Application. Data processing is started from determining amount of the data to be clustered into 3 high, medium and low, then determining the initial centroid cluster center point (iteration 1) that has been determined randomly, then calculating the distance of each data to the center of the cluster between objects to closest centroid. The distribution of cluster 1, cluster 2, and cluster 3 as many as 16 data in the K-Means Clustering process using the Orange Application. The research results show that there are 8 sub-districts for high clusters, 2 sub-districts for medium clusters and 6 sub-districts for low clusters in West Bandung Regency.