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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer JTERA (Jurnal Teknologi Rekayasa) JMM (Jurnal Masyarakat Mandiri) Jurnal Teknik Informatika UNIKA Santo Thomas Paspalum: Jurnal Ilmiah Pertanian Jurnal Sistem Informasi Kaputama (JSIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Technologia: Jurnal Ilmiah JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Sintaks Logika (JSilog)
Iwan Rizal Setiawan
Universitas Muhammadiyah Sukabumi
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Journal : Pixel : Jurnal Ilmiah Komputer Grafis

 1 
Sistem Rekomendasi Paket Diskon Barang dengan Algoritma Apriori di Toko Ryzy Widdy Arfiansyah; Iwan Rizal Setiawan; Prajoko Prajoko
Pixel :Jurnal Ilmiah Komputer Grafis Vol 15 No 2 (2022): Vol 15 No 2 (2022): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v15i2.887

Abstract

Discount is a sales strategy that lowers the price offered to buyers in the hope of increasing sales profits. However, when offering these discounts, stores often don't think about how discounted products can attract customers, so a support system is needed that can respond to the right and appropriate discounts. This support system with data mining techniques using apriori algorithm. This apriori method can search for several products that are often purchased simultaneously, therefore when juxtaposed with this study the effectiveness of the recommendations will be very good. Not only that, if it is added with a combination of recommendations with discounts, it will make customers interested to buying the product. The expected result of this research is to obtain a new sales strategy by making recommendations on items that will be used as discount packages.
Pemanfaatan Tools Live2D terhadap Animasi menggunakan Metode Face Tracking Azhilla Margiani Saraswati; Iwan Rizal Setiawan; Asriyanik Asriyanik
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1242

Abstract

In the era of globalization, cultural exchange is easier to do. One of the cultures that are popular with young people in Indonesia is Japanese animation. Animation is an image that is made to look real with artificial intelligence technology. At this time many people are interested in animated content that is displayed in real-time via social media, but there are still many who have not been able to present it optimally regarding the expressions and movements of the characters. So the researchers used the face tracking method in the Live2D application to produce animated characters that can interact directly with the exact expressions of the actors behind the camera. Tests using Vtube Studio Unity proved that the animations created succeeded in displaying the actors' expressions and movements in real-time. The final result of the animation created is distributed via social media YouTube and TikTok. Keywords: Animation, Live2D, Character, Face Tracking
Co-Authors Agung Pambudi Argia Pranselga Arsiyanik Arsiyanik Asep Budiman Kusdinar Asril Adi Sunarto Asriyani Asriyani Asriyanik Asriyanik Asriyanik Asriyanik Asriyanik Azhilla Margiani Saraswati Dicky Jhoansyah Eza Anbiya Tisna Fahrizal Fahrizal Fathia Frazna George Pri Hartawan Isa, Indra Griha Tofik Jijim Saepudin Kaswili Sriwenda Putri Lastri Yuningsih Lelah Lelah Mochamad Ezra Yasin Fauzi Naufal Ali Fardiansyah Neneng Kartika Rini Prajoko Rijal Agus Rusmana Rizki Fauzan Suswandy Suswandy Rizky Kausar Shilva Imanibillah Syaivi Indra Giri Tsani, Ashrul Widdy Arfiansyah Winda Apriandari Zaldi Arif Mulkan