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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%
Studi Pengalaman Pengguna pada Aplikasi Telemedicine Halodoc: Temuan dan Rekomendasi Wenripin Chandra; Mirza Ilhami; Ariwibowo, Suminar; Riche, Riche; Napitupulu, Segar
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Oktober 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i2.3312

Abstract

Telemedicine is an online medical service that allows users to receive treatment or health consultations without needing to visit healthcare facilities in person. One of the popular platforms providing this service is Halodoc. On this platform, users can consult with doctors via chat, make hospital appointments with partner facilities, purchase medications, check lab results, and receive health updates. This study aims to evaluate the user experience of the Halodoc application using the User Experience Questionnaire (UEQ) method. Data collection was conducted through a questionnaire distributed via Google Forms to facilitate participation. A total of 200 participants were involved in this study. The evaluation was based on six UEQ dimensions: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. The evaluation results show that the Halodoc application received a score of -1.04 on the Attractiveness dimension (negative), 1.29 on Efficiency (positive), 0.28 on Perspicuity (positive), -1.10 on Dependability (negative), 1.51 on Stimulation (positive), and 0.92 on Novelty (positive). Based on these results, it can be concluded that overall, Halodoc provides a "Good" user experience, although there are some areas for improvement, particularly in the Attractiveness and Dependability dimensions.
Co-Authors Ariwibowo, Suminar Mirza Ilhami Riche Riche Siagian, Novriadi Antonius Wenripin Chandra