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All Journal Teknika Jupiter Jurnal Informatika International Journal of Economics, Business and Accounting Research (IJEBAR) Journal of Applied Data Sciences JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Alih Teknologi Sistem Informasi (JATSI) Jurnal Informatika: Jurnal Pengembangan IT
Herwanto, Riko
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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Komparasi Metode Apriori dan FP-Growth Data Mining Untuk Mengetahui Pola Penjualan Purwati, Neni; Pedliyansah, Yogi; Kurniawan, Hendra; Karnila, Sri; Herwanto, Riko
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4876

Abstract

 Sales data is generally still rarely used, as well as the Perfume Corner shop just piling up in the database, even though there are problems experienced by the store regarding sales data for the best-selling products and to increase the number of sales of subsequent perfume products, so that the store can survive and develop even better. The algorithm that can be used to manage sales data to overcome this problem is Apriori. The research method used in this research is the KDD (Knowledge Discovery in Database) process. This research produces a high frequency pattern for itemsets with a minimum support value of 20% resulting in products that become The Most Tree Items namely Jo Malone 82.49%, Zarra 28.25%, and Zwitsal 20.34%. While the association rules formed from the value of Min. Supp 20% and Min. Conf 80%, get a combination of 2 itemsets, namely Jo Malone and Zarra. Whereas for the combination of 3 itemsets, namely Jo Malone, Zarra and Baccarte with valid and strong status, it is proven by a lift value greater than 1, therefore the association rules are very appropriate to be used.
Pelestarian Topeng Budaya Indonesia sebagai Warisan Budaya menggunakan Teknologi Augmented Reality Setiawati, Melia Gripin; Rosandy, Triowali; Suratno, Suratno; Herwanto, Riko
Jurnal Informatika Vol 26 No 1 (2026): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

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Abstract

Abstract — The development of digital technology provides new opportunities in efforts to preserve local culture, including traditional Indonesian mask culture. This study aims to develop a web-based Augmented Reality (AR) application as a medium for education and preservation of Nusantara mask culture. The system was developed using the Research and Development (R&D) method with a Software Development Life Cycle (SDLC) Waterfall model approach that includes the stages of planning, needs analysis, design, implementation, testing, and maintenance. The application is implemented on a web platform using MyWebAR technology, featuring a face tracking feature that displays virtual mask objects in real-time. A total of 10 types of Indonesian cultural masks are implemented in the system, namely Dayak, Dewi Ragil Kuning, Dewi Sekar Taji, Gunung Sari, Kelana, Panji, Punakawan, Rumyang, Sidakarya, and Tumenggung. The system utilizes 68 facial landmark points as a tracking feature to adjust the position of the mask to the user's face. The results of black box testing show that 100% of the system features run according to the designed function. In addition, usability testing using the System Usability Scale (SUS) obtained an average score of 84.5, which is included in the Excellent category and indicates a high level of user acceptance. The research results show that the application is capable of being an interactive educational media that supports the preservation of Indonesian mask culture through the use of Augmented Reality technology.   Keywords: augmented reality; cultural preservation; Indonesian culture; traditional masks; virtual try-on
Co-Authors Alkahfiansyah, Muhammad Aziz, RZ. Abdul Bobby Bachry Dwi Handayani, Retno Hendra Kurniawan Ketut Artaye, Ketut Lia Rosmalia M Said Hasibuan Ma'ruf, M. Hasan Muhammad Husaini Neni Purwati Nurpambudi, Ramadhan Pedliyansah, Yogi Ramaputra, Muhammad Galih Rosandy, Triowali Sabita, Hary Setiawati, Melia Gripin Sri Karnila Suranti, Yuli Suratno Suratno YA, Firmansyah Yan Aditiya Pratama Yundari, Yundari Zaidir Jamal