Claim Missing Document
Check
Articles

Found 2 Documents
Search

PENERAPAN METODE WASPAS DAN ROC DALAM PEMILIHAN BANK TERBAIK UNTUK PELAYANAN MOBILE BANKING Sari, Anggi Farika; Aulia Dewi, Elsa Adhista; Sapira, Septia Nike Bela; Pinem, Agusta Praba Ristadi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.5337

Abstract

Technological developments encourage increased use of banking services via mobile devices. Choosing the optimal bank for mobile banking services is an important challenge in meeting customer needs. This research uses a Decision Support System with the application of the Weighted Aggregated Sum Product Assessment (WASPAS) and Rank Order Centroid (ROC) methods. The WASPAS method helps find positive and negative ideal solutions in solving problems. The ROC method was chosen to reduce the level of subjectivity and uncertainty in determining weights. The weights in ROC are determined based on priority criteria. In this research, 5 alternatives are used, namely BCA Mobile, Livin' by Mandiri, BSI Mobile, BNI Mobile Banking, BRImo BRI, and apply criteria such as security, many enthusiasts, user friendly, rating, and cost. This research aims to provide a comprehensive picture of the quality of mobile banking services provided by various banks so as to help customers choose mobile banking according to the criteria they need. The research results show that BCA Mobile owned by BCA bank is the best alternative with the highest value of 0.940, followed by BRImo with a value of 0.613, BNI Mobile with a value of 0.612, Livin' by Mandiri 0.611, and the lowest value of 0.323 for BSI Mobile. Thus, BCA Mobile is declared the best choice for mobile banking services.
Penerapan Metode EDAS dan ROC Dalam Rekomendasi Objek Wisata Pantai Terbaik Sari, Anggi Farika; Sapira, Septia Nike bela; Aulia Dewi, Elsa Adhista; Pinem, Agusta Praba Ristadi
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4765

Abstract

Indonesia's natural diversity, cultural heritage and history have given rise to attractive tourism destinations, including Central Java Province. Central Java offers a diversity of beaches, attracting millions of tourists every year. However, many tourists have difficulty choosing a beach tourist destination that suits their wishes. Decision Support Systems (DSS) are a solution with various methods, one of which is the Evaluation Method based on Distance from Average Solution (EDAS) which is currently used together with Rank Order Centroid (ROC) weighting. This method has been proven to be effective in complex decision situations. In this context, using 13 Alternative Beaches was taken by taking into account the highest number of visitors in each Regency/City in Central Java Province and applying criteria such as cleanliness, facilities, popularity, rating and ticket prices used for evaluation. This research aims to examine the relationship and integration of the ROC and EDAS weighting methods in recommendations for the best beach tourist attractions in Central Java. It is hoped that this study will be able to provide a better interpretation and obtain a ranking ranking of alternative beach tourist attractions in Central Java, thereby contributing to tourists making more accurate decisions according to the criteria in the context of selecting beach tourist locations. The results of the research show that Jatimalang Beach is the best alternative with the highest score of 1,000. Thus, Jatimalang Beach is declared as the best choice for the best tourist attraction.