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Inventory and Sales Information System Design on Clothing Store (Case Study: X Fashion, Jakarta) Yulia Rosa; Marsellinus Bachtiar Wahju
Jurnal Logistik Indonesia Vol 4, No 1: April 2020
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.604 KB) | DOI: 10.31334/logistik.v4i1.872

Abstract

The progress of time continually accompanied by the development of technology. It leads to the competition among industries that require them to have superiority to attract more consumers. X Fashion is one of the fashion industries which sells various apparel products for people in the sale of large or small scale. The business processes of X Fashion is procuring products, managing inventory, sales, and managing finance. A lot of variations and number of products in the store are not in balance with a good management because all forms of recording are done manually. It causes potential error so that the information disseminated is inaccurate. Based on this consideration, a research is conducted as inventory and sales information system design on X Fashion clothing store to identify business process also to design an inventory and sales information system on X Fashion clothing store. The method used is Systems Development Life Cycle which consists of systematic steps for developing, designing, and maintaining the system to meet the needs of users, including supervision, recording, and reporting. Information system is designed to provide stock data, expense, and income reports automatically. Testing of the system includes system testing, function testing, learnability, logic testing, memorability, and measurement of satisfaction. Based on the test results, the information system was stated feasible and can be used to support business processes on X Fashion clothing store. Suggestions for further research on information system design are development of system design in order to be compatible on smartphone, also an addition of brief information on every control or using user guide in order to describe system function
Design and Performance of Solar-Powered Surveillance Robot for Agriculture Application Tresna Dewi; Ronald Sukwadi; Marsellinus Bachtiar Wahju
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1722

Abstract

Agriculture can benefit from robotics technology to overcome the drawback of limited human labor working in this sector. One of the robot applications in agriculture is a surveillance robot to monitor the condition. This paper describes a surveillance robot that is powered by a capacitor bank charged by a mini solar panel. The solar-powered robot is well-suited for deployment in open agricultural areas in Indonesia, where the irradiance is high. This potential is excellent for generating electricity and charging electric vehicles, such as those used in agriculture. The surveillance robot developed and tested in this study has been successfully deployed in an agriculture-like setting with all-terrain contours and the capacity to avoid obstacles. During high irradiance sunny weather, the shortest charging time was 2 hours. Hence, the proposed technology is effective for designing a surveillance robot for agricultural applications.
Neural Network-Based Image Processing for Tomato Harvesting Robot Yurni Oktarina; Ronald Sukwadi; Marsellinus Bachtiar Wahju
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1723

Abstract

Agriculture is one of the areas that can benefit from robotics technology, as it faces issues such as a shortage of human labor and access to less arid terrain. Harvesting is an important step in agriculture since workers are required to work around the clock. The red ripe tomatoes should go to the nearest market, while the greenest should go to the farthest market. Harvesting robots can benefit from Neural Network-based image processing to ensure robust detection. The vision system should assist the mobility system in moving precisely and at the appropriate speed. The design and implementation of a harvesting robot are described in this study. The efficiency of the proposed strategy is tested by picking red-ripened tomatoes while leaving the yellowish ones out of the experimental test bed. The experiment results demonstrate that the effectiveness of the proposed method in harvesting the right tomatoes is 80%.