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All Journal JOIV : International Journal on Informatics Visualization International Journal of Advanced Science Computing and Engineering
Aldo Erianda
Department of Information Technology, Politeknik Negeri Padang, West Sumatera, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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An Efficient Approach for Uncertain Event Detection in RFID Complex Event Processing Siti Salwani Binti Yaacob; Hairulnizam Bin Mahdin; Mohammed Saeed Jawad; Nayef Abdulwahab Mohammed Alduais; Akhilesh Kumar Sharma; Aldo Erianda
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.736

Abstract

The globalization of manufacturing has increased the risk of counterfeiting as the demand grows, the production flow increases, and the availability expands. The intensifying counterfeit issues causing a worriment to companies and putting lives at risk. Companies have ploughed a large amount of money into defensive measures, but their efforts have not slowed counterfeiters. In such complex manufacturing processes, decision-making and real-time reactions to uncertain situations throughout the production process are one way to exploit the challenges. Detecting uncertain conditions such as counterfeit and missing items in the manufacturing environment requires a specialized set of technologies to deal with a flow of continuously created data. In this paper, we propose an uncertain detection algorithm (UDA), an approach to detect uncertain events such as counterfeit and missing items in the RFID distributed system for a manufacturing environment. The proposed method is based on the hashing and thread pool technique to solve high memory consumption, long processing time and low event throughput in the current detection approaches. The experimental results show that the execution time of the proposed method is averagely reduced 22% in different tests, and our proposed method has better performance in processing time based on RFID event streams.
Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa Putri Huriati; Aldo Erianda; Alde Alanda; Dwiny Meidelfi; - Rasyidah; - Defni; Ade Irma Suryani
International Journal of Advanced Science Computing and Engineering Vol 4, No 2 (2022)
Publisher : Excelligent Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.89 KB) | DOI: 10.30630/ijasce.4.1.77

Abstract

The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.
Boundary Value Analysis Techniques for Testing Geographic Information System Applications for Public Facilities Rika Idmayanti; Dwiny Meidelfi; Aldo Erianda; Fanni Sukma; Rahmi Zazkia
International Journal of Advanced Science Computing and Engineering Vol 4, No 3 (2022)
Publisher : Excelligent Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (575.419 KB) | DOI: 10.30630/ijasce.4.2.91

Abstract

The Geographic Information System for Public Facilities is a system that makes it easier for the public to search and find locations. The more people use this system, the more problems will arise. Because people still use the manual method, namely by asking about the location of public facilities in the surrounding community. This is very ineffective and accurate. Therefore, a public facility information system was built using CI 3, Java, and PHP in the form of android. The method used in this development system is the waterfall method. With this GIS, the public can search for the location of public facilities, find public facilities, and provide a route to the location using the Tracking process to find out where the current position is.
Co-Authors - Rasyidah Ade Irma Suryani Akhilesh Kumar Sharma Alde Alanda, Alde Dwiny Meidelfi Fanni Sukma Hairulnizam Bin Mahdin Mohammed Saeed Jawad Nayef Abdulwahab Mohammed Alduais Putri Huriati Rahmi Zazkia Rika Idmayanti Siti Salwani Binti Yaacob