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Jurnal Teknik Informatika C.I.T. Medicom
Published by Institute of Computer Science
ISSN : 23378646     EISSN : 2721561X     DOI : -
Core Subject : Science,
Computer Science & IT
The Jurnal Teknik Informatika C.I.T a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 3 Documents
 1 
Search results for , issue "Vol 15 No 5 (2023): November : Intelligent Decision Support System (IDSS)" : 3 Documents clear
Designing a mobile-based infaq application markazul quran wassunnah foundation (MQS)Kuantan Singingi Jasri, Jasri; Al-hafiz, Nofri Wandi
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 5 (2023): November : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Android-based Infaq application for the Markazul Quran Wassunnah foundation is an innovative solution to support the management and collection of infaq and donations for the Markazul Quran Wassunnah foundation efficiently and transparently. This application is designed to make it easier for users to contribute to the Markazul Quran Wassunnah foundation, as well as to enable the managers of the Markazul Quran Wassunnah foundation to better manage funding sources. The application's main features include real-time processing of infaq, alms, zakat, and notifications, ensuring that the collected infaq is used appropriately according to the objectives determined by the management of the Markazul Quran Wassunnah foundation. This application is expected to increase community participation in supporting the development of the Markazul Quran Wassunnah foundation and encourage the use of technology for religious purposes and social benefits.
Application of data mining on inventory grouping using clustering method Ramadani, Suci; Hidayat, Syukri; Ramahdanty, Ramahdanty
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 5 (2023): November : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol15.2023.608.pp228-239

Abstract

Data mining in the business field is considered important, because the inventory system of goods in a store and what types of goods are the top priorities that must be stocked to anticipate the vacancy of goods, so that the store owner can find out the most sold items and the lack of stock items. The existence of daily sales transaction activities at Sahabat Komputer stores will produce a pile of data that is getting bigger and bigger, so that it can cause new problems. If this is allowed, the transaction data will become a pile of data that is detrimental because it requires an increasingly large storage media or database. One way to overcome this is to keep the availability of various types of continuous goods in the warehouse. To find out what items are purchased by consumers, the technique of analyzing the inventory of goods in the warehouse is carried out. Application of Clustering, helps in grouping data of the same characteristics into the same region. And from the whole it can be concluded that in cluster 1 the stock is available on average 1-100 pcs, the number of sales is 1-100 pcs and the sales volume per month is 1-100 units. In cluster 2 there is an average available stock of 101-200 pcs, 101-200 pcs sales quantity of 101-200 units, and monthly sales volume of 101-200 pcs. And in cluster 3 there is an average available stock of 301-400 pcs, the number sold is 401-500 pcs, and the monthly sales volume reaches 301-400 pcs.
Explainable artificial intelligence (XAI) for trustworthy decision-making Kurniawan, Deni; Triyanto, Dedi; Wahyudi, Mochamad; Pujiastuti, Lise
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 5 (2023): November : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol15.2023.622.pp240-246

Abstract

This research delves into the optimization of loan approval decisions by integrating the Trustworthy Decision Making (TDM) framework into a mathematical model. The study aims to strike a balance between maximizing loan approvals and ensuring fairness, transparency, and accountability in AI-driven decision-making processes. Leveraging principles of transparency, fairness, and accountability, the mathematical model seeks to optimize loan approvals while adhering to ethical considerations. The formulation emphasizes the importance of interpretable models to maintain transparency in decision explanations, ensuring alignment with trustworthy AI practices. Implementation results demonstrate the efficacy of the model in achieving a balanced approval rate across demographic groups while providing transparent explanations for decisions. This study highlights the significance of ethical considerations and mathematical formulations in fostering responsible AI implementations. However, continual refinement and adaptation of such models remain essential to align with evolving ethical standards and societal expectations. Overall, this research contributes to the discourse on responsible AI by showcasing a methodological approach that integrates ethical principles and mathematical formulations to promote fairness, transparency, and accountability in AI-driven decision-making.

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