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All Journal Jurnal Sains Teknologi dan Sistem Informasi Journal of Data Mining and Information Systems
Napitupulu, Segar
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Computer Science & IT

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Prediksi Data Produksi Menggunakan Regresi Linear Sederhana Napitupulu, Segar; Siagian, Novriadi Antonius
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1956

Abstract

PT. XYZ is a company engaged in the cold forging of automotive metal parts specialists. Companies must meet distribution needs and are required to make the right decisions in determining production strategies. To do this, companies need quite a lot of information sources to be analyzed further. Which, companies also face difficulties in obtaining strategic information such as sales levels per period or best-selling products. The analytical method uses simple linear regression in the prediction system because simple linear regression analysis can predict time series. The results of the analysis on the Collar 17x10.5x11 product were obtained from predictions from January to December 2020 with an error rate of 3.78%. The Nut AM M12x14x12 product obtained prediction results from January to December 2020 with a rate of 12.53%. The Collst product 23.6x16.3x3 obtained prediction results from January to December 2020 with a rate of 5.43%. For Nipple products from January to December 2020 with a rate of 12.14%
Evaluasi Keberhasilan Aplikasi CapCut dalam Pembuatan Video Promosi Produk: Pendekatan DeLone and McLean Riche, Riche; Jepronel Saragih; Chandra, Wenripin; Ariwibowo, Suminar; Napitupulu, Segar
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 1 (2025): April 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i1.4181

Abstract

CapCut is a popular video editing application among young people due to its diverse features and ease of use. This application is widely used for creating product promotional videos; however, several limitations affect user experience. Some common issues include video compression when uploaded from a PC, features experiencing bugs, and restrictions on using music outside the application. Therefore, this study aims to analyze the functionality of the CapCut application in supporting promotional video creation using the DeLone and McLean model.  Data collection was conducted online using the purposive sampling method, focusing on online business owners in North Sumatra. The total number of eligible respondents analyzed was 156, based on the Slovin formula. The collected data were analyzed using Structural Equation Modeling - Partial Least Squares (SEM-PLS) with the assistance of SmartPLS software.  The results indicate that system quality and the level of application usage have a positive and significant impact on user satisfaction. Furthermore, user satisfaction significantly contributes to the net benefits gained from using the application. However, the analysis also reveals that direct application usage does not significantly contribute to net benefits perceived by users.  These findings suggest that improving system quality and user experience are key factors in enhancing the benefits of CapCut for users in creating promotional videos. 
Co-Authors Ariwibowo, Suminar Chandra, Wenripin Jepronel Saragih Riche Riche Siagian, Novriadi Antonius