Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Information Technology, Software Engineering and Computer Science

Sistem Monitoring Produksi Menggunakan Laravel Dan Cork-Bootstrap Abim Ari Bimantara; Rakhmat Dedi Gunawan
Journal of Information Technology, Software Engineering and Computer Science Vol. 1 No. 4 (2023): Volume 1 Number 4 October 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v1i4.73

Abstract

PT Perkebunan Nusantara VII (PTPN 7) is a leading plantation company in Indonesia that produces main agricultural commodities. The PDF-based daily production data processing process is still done manually, takes time, and does not support interactivity. This research introduces a web-based Production Monitoring System which enables more efficient and faster monitoring of production results. This system uses crawling techniques to collect production data and presents it in graphic form that can be accessed via a web platform. Apart from that, this system is equipped with a Geographic Information System (GIS) feature to provide information regarding the location of the garden. The system development method uses the Extreme Programming method and system development uses Laravel with a template from Cork - Bootstrap 5. The main objective of this research is to build a Web Production Monitoring system that can help PTPN 7 monitor production results in a quickly updated manner. The results of the ISO 25010 testing that has been carried out conclude that the service quality of the resulting system has a good percentage of success with a total average of above 88%.
Penerapan Sistem Pendukung Keputusan dalam Pemilihan Supplier dengan Metode TOPSIS Gunawan, Rakhmat Dedi
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 3 (2024): Volume 2 Number 3 July 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i3.157

Abstract

Supplier selection is an important process in supply chain management that aims to select the best business partners who are able to provide goods or services according to the company's needs with optimal quality, price, and delivery time. Problems in selecting suppliers often arise due to the complexity of the evaluation process involving various conflicting criteria. The main purpose of this study is to produce a more accurate and objective supplier ranking based on various criteria, such as product quality, price, delivery time, order flexibility, and payment terms. With this approach, this research can improve decision-making efficiency by minimizing subjectivity and bias in the supplier evaluation process. This research contributes to the development of a decision support system based on a multi-criteria method, especially in the context of supply chain management and business partner selection. The results of the calculation using the TOPSIS method, the alternative ranking for supplier selection is determined by the proximity value calculated from the distance of each alternative to the positive and negative ideal solution. Supplier 7 ranked first with the highest proximity value, 0.7653, indicating that this supplier is closest to the ideal solution. It was followed by Supplier 3 in second place with a proximity value of 0.7112, which also had a good performance although slightly lower than Supplier 7. The results of this ranking provide a clear picture of which suppliers best meet the desired criteria, making it easier to make decisions.
Combination of SMART and CRITIC Methods in Decision Support Systems for Determination of Superior Products Gunawan, Rakhmat Dedi
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 4 (2024): Volume 2 Number 4 October 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i4.158

Abstract

Superior products are goods or services that have a higher value compared to other similar products because of their quality, innovation, or uniqueness. These products are usually produced through a standardized production process, utilizing selected raw materials, and supported by modern technology and special skills. The determination of superior products is carried out through a comprehensive analysis process to identify goods or services that have great potential to provide added value, both economically and socially. The main problem in determining superior products often arises due to the lack of accurate and comprehensive data on market potential, product quality, and consumer needs. Inaccuracies in setting evaluation criteria or weights given to each criterion can also result in bias in the selection process. This research aims to implement a combination of SMART and CRITIC methods in a decision support system to determine superior products objectively and efficiently. This combination is designed to take advantage of the advantages of the SMART method in evaluating alternatives based on multi-criteria utility, as well as the CRITIC method in determining the weight of the criteria objectively based on data variation and correlation between criteria. The results of the ranking of seven products are based on the total value that has been calculated using a certain evaluation method. Product G (D700) ranks first with the highest score of 0.78961, showing the best performance compared to other alternatives. These results provide clear information about which products are superior and can be the basis for decision-making in choosing the best product.