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All Journal Jurnal Krisnadana
Komang Kurniawan Widiartha
Institut Bisnis dan Teknologi Indonesia, Denpasar, Indonesia

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Implementation of the Fuzzy Time Series Method for Forecasting Silver Jewellery Sales Komang Kurniawan Widiartha; Gede Dana Pramitha; Kadek Ryan Saputra Galiharta
Jurnal Krisnadana Vol 5 No 1 (2025): Jurnal Krisnadana- in Progress September-October 2025
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v5i1.971

Abstract

Art shop Onno Silver is one of the art shops located on Jalan Raya Celuk No. 27, Celuk, Sukawati District, Gianyar, selling various types of silver jewelry such as earrings, bracelets, necklaces, rings and other types. Art shop Onno Silver only sees sales data from previous months without any more accurate calculations in sales forecasting. Art shop Onno Silver faces challenges in planning sales strategies and predicting sales in the following month due to unpredictability and high sales fluctuations, due to each category having different sales patterns that are influenced by various factors. This sales forecasting research uses the Fuzzy Time Series method. The results of this research method show the accuracy level of the earrings category MSE results of 8032.48, MAE results of 72.24, and MAPE results of 34.78%. The accuracy results for the bracelet category show MSE results of 539.37, MAE results of 20.82, and MAPE results of 26.61%. And the ring category evaluation results show MSE results of 12567.78, MAE results of 87.60, and MAPE results of 36.19%. From the evaluation results of the earrings, bracelets, and rings categories where it is in the range of 20% ? x < 50% that the forecasting accuracy is quite good. While the evaluation results of the necklace category show the MSE result of 87.43, the MAE result of 6.51, and the MAPE result of 12.35% where it is in the range of 10% ? x < 20% that the forecasting accuracy is good.
Comparison of Rotational Interpolation Methods for Sign-Language Avatar Animation Ahmad Asroni; Komang Kurniawan Widiartha; Daniel Kevin Alexander
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/9da84z43

Abstract

Sign-language learning media based on 3D avatars store sign motions as bone-rotation keyframes and replay them through interpolation. Common web-based systems use linear interpolation of Euler angles (LERP-Euler), which does not follow the shortest rotational path and yields unnatural angular velocity. Because movement is a meaning-bearing phonological parameter in sign language, interpolation quality affects sign legibility. This study objectively compares four methods LERP-Euler, quaternion SLERP, SLERP with smoothstep easing, and Catmull-Rom without human raters, grounding quality on the minimum-jerk and shortest-path principles. Eighty dictionary sign words were tested with an automated harness recording each bone's orientation and the fingertip position at 240 Hz. Eight metrics (Normalized Jerk, SPARC, path-length ratio, geodesic deviation, angular-speed CV, C1 jump, fingertip path length, and computation cost) were analysed using the Friedman test with post-hoc Wilcoxon (Bonferroni). No method dominates all dimensions: Catmull-Rom and eased SLERP are the smoothest (p < 0.001), while SLERP and eased SLERP best follow the shortest path (ratio ? 1.000) at the lowest cost; Catmull-Rom overshoots (ratio ? 1.13) and is costliest. Overall, eased SLERP is recommended as the best compromise for real-time web deployment.