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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 6 Documents
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Search results for , issue "Vol 15 No 6 (2024): January : Intelligent Decision Support System (IDSS)" : 6 Documents clear
Improving efficiency and effectiveness of budget, labor, and inventory allocation decision making through decision support system Wahyudi, Agung; Setyawan, Bayu; Sapuguh, Iman; Ahlina, Nur; Rosalinda, Adinda Sandra
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.712.pp270-276

Abstract

This research aims to improve the efficiency and effectiveness of budget, labor, and inventory allocation decision making at PT Telkom through the application of the TOPSIS method. Using a decision matrix that includes five alternatives and three criteria, this analysis ranks each alternative based on proximity to the positive ideal solution and distance to the negative ideal solution. The results show that Alternative D is the best choice, signifying superiority in the combination of measured values. These recommendations provide strategic guidance for PT Telkom in optimizing resource management, but keep in mind that the results are relative and need periodic evaluation to maintain relevance in the context of dynamic changes. This research contributes to the decision-making and resource management literature by applying systematic methods to complex business situations.
Application of ELECTRE method in business strategic planning: analysis of development, diversification, and market expansion alternatives Setyawan, Bayu; Sapuguh, Iman; Ahlina, Nur; Wahyudi, Agung; Rosalinda, Adinda Sandra
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.713.pp277-283

Abstract

This research applies the ELECTRE Method in the analysis of PT Djarum's business strategic planning, focusing on business development, product diversification, and market expansion. Using three main criteria with assigned weights, this study evaluated five strategic alternatives. The results show that New Business Development (PBB) dominates the ranking with the highest Net Flow, signaling high conformity with the criteria and weights. Product Diversification (DP) follows as a viable alternative, while Global Market Expansion (EPG), Strategic Partnership (KS), and Regional Market Expansion (EPR) are ranked according to their respective suitability levels. These conclusions provide strong strategic guidance for PT Djarum in making informed business decisions and support the long-term growth and sustainability of the company amidst the changing dynamics of the competitive cigarette industry.
Development of fuzzy logic based student performance prediction system Sapuguh, Iman; Ahlina, Nur; Wahyudi, Agung; Setyawan, Bayu; Rosalinda, Adinda Sandra
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.714.pp284-290

Abstract

Improving students' academic performance is a key goal in the context of higher education. However, the process of identifying students who require additional support is often complicated and complex. Traditional approaches in analyzing student performance data tend to be limited in handling data uncertainty and complexity. Therefore, the development of fuzzy logic-based decision-making systems is becoming increasingly important. This research aims to develop a fuzzy logic-based decision-making system to predict student performance accurately and efficiently. This approach utilizes fuzzy logic concepts to handle uncertainty and complexity in data, and allows the integration of various input factors, such as exam results, class participation, and other variables, in the decision-making process. The research methods include collecting historical student performance data, modeling fuzzy variables for inputs and outputs, developing fuzzy inference rules, and implementing and testing the system using split test data. Numerical example results show that the system is able to provide predictions of student performance by considering relevant input variables. In addition, the system also offers the potential to improve the efficiency of educational interventions by identifying at-risk students faster and more precisely. As such, the development of this fuzzy logic-based decision-making system is expected to make a significant contribution to efforts to improve the quality and equity of higher education by ensuring that every student gets the support they need to reach their full academic potential.
A mathematical model for predicting the spread and detection of rumors in online communities Ahlina, Nur; Wahyudi, Agung; Setyawan, Bayu; Sapuguh, Iman; Rosalinda, Adinda Sandra
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.715.pp291-296

Abstract

This study investigates the development of a mathematical model to predict the spread and suppression of rumors in online communities. Through mathematical formulation and numerical simulation, the dynamics of rumor spreading are explored by considering factors such as transmission and suppression rates, as well as strategic interventions such as early detection and information intervention. The results show that the model can provide valuable insights into rumor spreading behavior and the effectiveness of control strategies. The findings can support efforts to reduce the negative impact of rumor spreading in online environments and promote healthier and safer online communities.
Modeling the dynamics of misinformation spread on social media platforms Arisman, Arisman; Simbolon, Hasanal Fachri Satia
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.718.pp297-305

Abstract

This study employs the SEIRS (Susceptible-Exposed-Infectious-Recovered-Susceptible) model to investigate the dissemination dynamics of misinformation within a community. Utilizing a population of 100,000 individuals and a time frame of 500 units, the model incorporates parameters such as transmission rate, recovery rate from the exposed and infectious stages, and the rate of returning to susceptibility. Simulation results demonstrate the fluctuating patterns of individuals across stages, depicting an initial surge in exposure followed by a gradual decline as individuals transition into recovery or awareness of misinformation. This research underscores the SEIRS model's utility in comprehending misinformation spread and highlights the potential for behavioral shifts and societal awareness in mitigating its effects. Furthermore, it emphasizes the importance of interdisciplinary approaches, blending epidemiological, psychological, and sociological perspectives, to devise effective interventions combating misinformation dissemination. Ultimately, fostering digital and critical literacy alongside sustained educational efforts emerges as a crucial strategy in fostering healthier, more trustworthy information environments.
A Improve refinement approach iterative method for solution linear equition of sparse matrices Vinsensia, Desi; Utami, Yulia; Siregar, Fathia; Arifin, Muhammad
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 6 (2024): January : 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.Vol15.2024.721.pp306-313

Abstract

In this paper, systems of linear equations on sparse matrices investigated through modified improve method using Gauss-Seidel and successive overrelaxation (SOR) approach. Taking into adapted convergence rate on the Improve refinement Gauss-seidel outperformed the prior two Gauss-Seidel methods in terms of rate of convergence and number of iterations required to solve the problem by applying a modified version of the Gauss-Seidel approach. to observe the effectiveness of this method, the numerical example is given. The main findings in this study, that Gauss seidel improvement refinement gives optimum spectral radius and convergence rate. Similarly, the SOR improved refinement method gives. Considering their performance, using parameters such as time to converge, number of iterations required to converge and spectral radius level of accuracy. However, SOR works with relaxation values so that it greatly affects the convergence rate and spectral radius results if given greater than 1.

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