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All Journal Journal of Information System Sistemasi: Jurnal Sistem Informasi
Nugroho, Mohamad Fajarianditya
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Computer Science & IT Electrical & Electronics Engineering

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Pengembangan UI/UX Sistem Pengelolaan Inventori Menggunakan Metode Design Thinking Widjaja, Stephanus; Wicaksono, Adityo Putro; Widayati, Yohana Tri; Nugroho, Mohamad Fajarianditya; Sandeas, Dhegih
JOINS (Journal of Information System) Vol. 9 No. 1 (2024): Edisi Mei 2024
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v9i1.10311

Abstract

System development requires an interface design that suits the user, this is so that the system can be used fully without reducing or ignoring its main functions. Dwi Jaya Store which operates in the wholesale and retail product sales sector faces challenges such as managing suppliers which may be more than one supplier, managing product orders to suppliers based on inventory levels, managing product returns to suppliers if there are defects or damage, managing the traffic of goods from main warehouse to shops and report management. Dwi Jaya Store requires an inventory system that is easy to use but does not reduce the performance and function of the system. This research aims to produce a prototype inventory system that users use easily. This research uses the design thinking method, usability testing method, and Figma as a design tool. This research produced a prototype with a usability testing value of 78.4% which was included in the Good Application category.
Elbow and Silhouette Methods for K Value Analysis of Ticket Sales Grouping on K-Means Wicaksono, Adityo Putro; Widjaja, Stephanus; Nugroho, Mohamad Fajarianditya; Putri, Christina Priscilla
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.2889

Abstract

Increasingly fierce business competition forces people to develop businesses to compete in selling by looking for leads to increase revenue from business sales. The development of the digital era affects the use of the internet for the process of searching for information and online purchases, such as purchasing tickets and digital products. Film is one of the industries in the entertainment world that brings a new atmosphere for people to watch films that can be watched anywhere and also online and offline. Ticket sales data that is being processed is clustered using K-Means. The clustering process and evaluation to determine the best K value in the clustering process uses the Elbow and Silhouette Score Methods. Grouping is obtained if the grouping results are not significantly different when the grouping process is carried out on the "ticket_sold" and "ticket_price" attributes. Based on the results of the Elbow Method, the result is that the value of k = 3 to the value of k = 5 is the optimal value for carrying out the data grouping process for the case of selling movie tickets. While the results of a good cluster distribution are at a value of k = 5 with a value of 0.60 using the Silhouette Score..
Co-Authors Putri, Christina Priscilla Sandeas, Dhegih Wicaksono, Adityo Putro Widayati, Yohana Tri Widjaja, Stephanus