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PENUNJUK ARAH CERDAS BERBASIS ATURAN FUZZY (SEBUAH IDE IMPLEMENTASI DARI PENGGUNAAN SENSOR LALU LINTAS) Ditdit Nugeraha Utama
Risenologi Vol. 2 No. 1 (2017)
Publisher : Kelompok Peneliti Muda Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.813 KB) | DOI: 10.47028/j.risenologi.2017.21.7

Abstract

Traffic congestion had been being a classic problem that metropolitan city faces commonly. Road intersection, traffic volume, indiscipline drivers are several potential of congestion on highway. This condition is a multidimensional problem that should be resolved by an amazing way. Various science domain in various expertise domain had contributed ideas to solve this problem. One is the existence of an automatic sensor for detection the number of vehicles within a certain time, estimating density of vehicle, and vehicle velocity on highway. By using fuzzy which is applied to fuzzy rules, the idea of automatic sensor utilization is realized. Fuzzy method is informatics and computer science subsidiary, which allows computer can detect natural type various of human language. Here, fuzzy rules are used to identify possible congestion that occur and further action over congestion. By using fuzzy rules, data is obtained from sensors is sent as signal to traffic lights and definitive gate has been designed in such a way. Vehicles are in the line which in a certain density will acquire two-line alternatives (smart direction), while vehicle is on other line will be continue to move to direction that is indicated by traffic lights and action of gate working, so no line occur vehicle congested in density on one line or more. Thus, system is running in accordance with vehicle density on a certain level in a line that is detected by sensor, its mean that system is not going to running constantly if not detected vehicle density.
Fuzzy SAW Based Decision Model for Determining the Priority Scale of ICT Handling in Public Sector Organizations Rissa Yulanda; Ditdit Nugeraha Utama
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.419

Abstract

Determining the priority of handling information and communication technology (ICT) infrastructure in public sector organizations can help them take the right actions in maximizing limited budgets, to handle technical maintenance, improve human resource (HR) capabilities and governance of ICT infrastructure. The purpose of this research is to develop a decision-making model that is able to determine the priority of handling ICT, especially in public sector organizations. Decision support modeling (DSM) with Fuzzy Simple Additive Weighting (Fuzzy SAW) method is used to build a computer model that supports decision making in this case. The study consists of four stages, which are an integral part of the Fuzzy SAW-based DSM process. These stages include analyzing the case, determining parameters, collecting data and building the model. This study produces a Fuzzy SAW-based DSM consisting of 14 parameters, namely governance, number of internet users, number of ICT managers, work experience of ICT managers, bandwidth service capacity, router device age, educational background of ICT managers, network firewalls, network maintenance, server room availability, Network Attached Storage (NAS) storage devices, neatly organized cable devices, adequate electrical resources and internet connection backup networks, to determine the priority ranking of 34 existing alternatives. The final result of this research is a Fuzzy SAW-based DSM that is able to provide a priority score for handling ICT infrastructure in Public Sector Organizations. The findings in this model show that the parameter weights affect the final score of the model. Thus, the conclusion of this research is that the model has been successfully implemented, making a significant contribution in providing guidance on determining accurate ICT infrastructure handling for public sector organizations.