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Journal : Journal of Advanced in Information and Industrial Technology (JAIIT)

Analysis and Design of a Sales Application System for Micro-Scale Grocery Stalls Darip, Mochammad; Permana, Basuki Rakhim Setya
Journal of Advances in Information and Industrial Technology Vol. 6 No. 1 (2024): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v6i1.536

Abstract

Investments in information technology often require relatively large capital allocations, but a wise strategy can optimize the use of these funds, such as through developing desktop-based sales applications according to more specific needs and scope. The grocery stall 'CV Warung Berkah' will apply this strategy to manage inventory in sales transactions. The method in designing this sales system uses the waterfall method approach, while finding out the percentage of benefits of the system built with the investment costs incurred using the return-on-investment method approach. Based on the results of the analysis and discussion in the research conducted, the sales system application for micro-scale basic food stalls is feasible to be implemented or developed with an investment feasibility test value or what is usually called ROI of 62.0%. This application system, all sales transactions are recorded accurately as material for the shop owner's analysis in deciding to purchase and inventory goods.
Comparison of BFS and DFS Algorithm for Routes to Historical-Cultural Tourism Locations in Banten Province Mochammad Darip; Sigit Auliana; Anam, Aan Khoirul; Parimin; Anugerah Agung
Journal of Advances in Information and Industrial Technology Vol. 6 No. 2 (2024): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v6i2.560

Abstract

The development of information technology has had a significant impact in the tourism sector, especially in enriching the tourist experience, especially in the field of historical and cultural tourism. Banten Province, with its wealth of historical tourist attractions, is a major destination for tourists who want to explore and understand cultural and historical values in Indonesia. This research aims to maximize tourists' experience in visiting historical-cultural tourist attraction locations in Banten Province by choosing optimal travel routes, thereby increasing visit efficiency, minimizing travel time and distance, and enabling them to visit more locations in a limited time. In this research, the method used is research with a quantitative descriptive approach and graphic model design. The results of the simulation and testing of the graph model were analyzed on the selection of tourist travel routes using the Breadth-First Search (BFS) and Depth-First Search (DFS) algorithms based on graph models that describe the location of cultural-tourism objects. The simulation results show that BFS tends to produce travel routes that are more efficient in terms of distance traveled, while DFS optimizes the number of tourist site visits by exploring routes in depth. This research provides insight into these two approaches and their implications for travel decision making.