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All Journal Indonesian Journal of Electronics and Instrumentation Systems ANDHARUPA Sinkron : Jurnal dan Penelitian Teknik Informatika SINTECH (Science and Information Technology) Journal International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJISTECH (International Journal Of Information System & Technology) ADI Journal on Recent Innovation (AJRI) Indonesian Journal of Data and Science Jurnal Bali Membangun Bali Jurnal Scientia Journal of Computer Networks, Architecture and High Performance Computing IJISTECH International Journal of Engineering, Science and Information Technology Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Multidisiplin Madani (MUDIMA) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Krisnadana Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Krisnadana Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat KOMET
Putu Wirayudi Aditama
STMIK STIKOM Indonesia
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Design Thinking Testing of AR/VR Application for Bali's Lontar Prasi Preservation Christina Purnama Yanti; I Gede Iwan Sudipa; Putu Wirayudi Aditama
Jurnal Multidisiplin Madani Vol. 3 No. 9 (2023): September, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i9.5744

Abstract

This study investigates the use of Design Thinking in the creation of Augmented Reality (AR) and Virtual Reality (VR) applications for the preservation of Bali's Lontar Prasi cultural heritage. As a piece of Indonesian cultural patrimony, Lontar Prasi necessitates a novel approach to its preservation in the digital age. This research identifies UI/UX issues of AR/VR applications based on user problems through the phases of Emphasis, Definition, Ideation, Prototype, and Test. Changes were made to the icon display, 3D character information, and UI positioning as a result. With an average score of 80 (Excellent) on the System Usability Scale (SUS), testing revealed a substantial improvement in user satisfaction. These results demonstrate that the Design Thinking methodology is effective for addressing UI/UX issues and enhancing the app's acceptability. In conclusion, this approach can serve as a foundation for future advancements in the preservation of cultural heritage using modern technology for digitized cultural heritage
Sales Forecasting Analysis Using Fuzzy Time Series and Simple Linear Regression Methods at Toko Ari Ni Luh Sri April Yanti; Ni Wayan Jeri Kusuma Dewi; I Gede Made Yudi Antara; Desak Made Dwi Utami Putra; Putu Wirayudi Aditama
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.368

Abstract

Introduction: Forecasting, often referred to as prediction, can actually help assess conditions or predict future sales. In the business world forecasting is crucial because it can help companies plan their future operations especially when faced with sudden increases and decreases in sales and stockpiles. Especially in retail forecasting is extremely helpful in purchasing merchandise, managing inventory in the warehouse, and reducing losses due to changing customer preferences. Ari's shop, located on Jalan Raya Samu, Singapadu Kaler, Gianyar, Bali, also experiences increases and decreases in monthly sales. Therefore, it is hoped that this sales forecasting can help maintain more stable and smooth operations. Methods: This study used two methods to forecast sales: Fuzzy Time Series (FTS) and Simple Linear Regression (SLR), to predict figures from Ari's shop's monthly sales data. Both methods use the same dataset, which is Ari's Store sales data for 13 months, from January 2024 to January 2025. The forecast results are then compared using the Mean Absolute Percentage Error (MAPE), which measures the model's accuracy in predicting results. Results: Based on the sales forecasts performed, both models produced fairly accurate predictions due to their low MAPE values, below 10%. Of the two methods, Simple Linear Regression provided more accurate results with a MAPE of 3.57%. Meanwhile, the Fuzzy Time Series method produced a MAPE of 5.53%. This difference in values indicates that the linear regression model is more appropriate for Ari's Store sales data, especially since the data pattern tends to follow a linear trend.
Co-Authors Alparizi, Jilmi Anandita, Ida Bagus Gede Aristana, Made Dona Wahyu Asana, I Made Dwi Putra Atmaja, Ketut Jaya Baehaqi Ceryna Dewi, Ni Kadek Christina Purnama Yanti Desak Made Dwi Utami Putra Efendi, Mochamad Arman I Gede Adi Sudi Anggara I Gede Iwan Sudipa I Gede Made Yudi Antara I Gusti Agung Indrawan I Gusti Made Ngurah Desnanjaya I Komang Arya Ganda Wiguna I Komang Wiratama I Nyoman Anom Fajaraditya Setiawan, I Nyoman Anom I Nyoman Jayanegara I Nyoman Tri Anindia Putra I Nyoman Widhi Adnyana I Wayan Krishna Sangging Wiguna Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Kadek Ayu Ariningsih Karyana, I Putu Ditha Ketut Sepdyana Kartini Meinarni, Ni Putu Suci Ni Kadek Ceryna Dewi Ni Luh Sri April Yanti Ni Putu Ayu Nika Sari Ni Putu Widantari Suandana Ni Wayan Jeri Kusuma Dewi Parmana, I Putu Gede Briand Prabhawa , I Kadek Angga Surya Pramana, I Gusti Kadek Candra Adi Cahya Pramawati, I.D.A Tantri Putra, I Putu Satria Udyana Putra, Putu Satria Udyana Putu Praba Santika Putu Surya Wedra Lesmana Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sanusi, Rikcy Sarasvananda , Ida Bagus Gde Saraswati, Ni Wayan Sumartini Tahalea, Sylvert Prian Tika, I Gede Bagus Arya Merta Wiguna, I Komang Arya Ganda Yasa, I Wayan Adi Putra Yoga, I Gede Putra Sedana