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Journal : Jurnal Sains Komputer dan Teknologi Informasi

AUGMENTED REALITY PENGENALAN MENU “POINT COFFEE” Hardita, Veny Cahya; Elmayantie, Catharina; Kaharuddin, Kaharuddin
Jurnal Sains Komputer dan Teknologi Informasi Vol. 7 No. 1 (2024): Jurnal Sains Komputer dan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsakti.v7i1.8334

Abstract

Point Coffee Indomaret Fresh G. Obos has a hot/iced coffee menu provided. Many people do not know about composition of some coffee menus available. Sometimes it takes an explanation from the barista to find out the composition content of the Point Coffee menu. Another problem is that when there is a discount promotion, it does not exclude the possibility of a long enough queue so that it takes a lot of time for the barista to make a transaction while explaining the menu. In this study, the authors develop an application using Augmented Reality to introduce Point Coffee's existing coffee menu. The type of research used is Research and Development (R&D). Data collection techniques use interviews, documentation and library research. While Augmented Reality Application is based on marker. The development of this application uses Unity Engine and AR Core. An Augmented Reality application that features 6 (six) best seller main menus can be implemented in Point Coffee as an application which helps barista in explaining the main ingredients in the existing menu, as well as making it easier for customers to know the main ingredients of the drinks they are going to order. Keywords: Point Coffee, Indomaret, Augmented Reality, Unity, AR Core
Application of Time Series for Palm Oil Production Prediction at PT. Dwie Warna Karya : PENERAPAN TIME SERIES UNTUK PREDIKSI PRODUKSI MINYAK KELAPA SAWIT DI PT. DWIE WARNA KARYA Putri, Elsa Monica; Hardita, Veny Cahya; Elmayantie, Catharina
Jurnal Sains Komputer dan Teknologi Informasi Vol. 7 No. 2 (2025): Jurnal Sains Komputer dan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsakti.v7i2.9446

Abstract

Fluctuations in palm oil production at PT. Dwie Warna Karya negatively impact the company's efficiency and profitability. This study aims to implement the Time Series method using the SARIMA model to accurately predict palm oil production, enabling the company to make better decisions in production planning and operations. This research employs a quantitative approach with descriptive and predictive analysis, utilizing data collected through interviews, literature studies, and historical production documentation. The SARIMA (1,1,1)(1,1,1)12_{12} model is identified as the most suitable for forecasting palm oil production over the next 12 months. The model indicates that production is influenced by previous values, requires first-order differencing to address trends, and includes a random component affected by prior forecasting errors, both in the short-term and seasonal patterns. This SARIMA model enhances forecasting accuracy and serves as a valuable reference for production planning, inventory management, and strategic decision-making.