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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 5 Documents
 1 
Search results for , issue "Vol 15 No 4 (2023): September : Intelligent Decision Support System (IDSS)" : 5 Documents clear
Decision support system for selection of the best faculty staff using the analytical hierarchy process (AHP) method Titus Kristanto; Dahliar Ananda; Achmad Muzakki; Dewi Rahmawati; Riza Akhsani Setyo Prayoga
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 4 (2023): September : 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.Vol15.2023.473.pp169-176

Abstract

The Faculty of Information Technology and Business is one of the faculties at the Telkom Surabaya Institute of Technology. This faculty has four staff, namely Prasetya, Setyawan, Pertiwi, and Berliana. Every semester, faculty leaders (deans and deputy deans) evaluate faculty staff based on predetermined criteria to provide the best performance for the faculty in carrying out their duties and obligations. Assessment of faculty staff selection is based on criteria, namely service, discipline, commitment, and cooperation. The decision support system for selecting the best faculty staff uses the Analytical Hierarchy Process (AHP) method, where the decision-making process is based on an alternative assessment process based on predetermined criteria. Calculations using the AHP method are in the form of ranking the importance of each criterion and making recommendations for the best faculty staff, where the order of criteria starts with the criteria of service, cooperation, discipline, and commitment. Alternative matrix calculations yielded a score of 0.4963 for Prasetya, a score of 0.1893 for Setyawan, a score of 0.1873 for Pertiwi, and a score of 0.127 for Berliana, so that the best faculty staff recommendations were obtained by Prasetya with the highest score of 0.4963.
Application of bidirectional gated recurrent unit algorithm for rainfall prediction Pratama Syahdan Nabil; Yudi Ramdhani
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 4 (2023): September : 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.Vol15.2023.522.pp188-198

Abstract

The management of water resources and various industrial sectors is highly dependent on rainfall. To avoid negative impacts such as floods, droughts and other natural disasters, rainfall forecasts must be accurate and timely.This research aims to find the best algorithm for predicting rainfall. In this study, modeling was carried out using the Bandung city rainfall dataset from 2018 to 2022 using the Bidirectional Gated Recurrent Unit (BiGRU) method. Bidirectional Long Short Term Memory (BiLSTM), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM) are used to compare the performance of the BiGRU algorithm. The test findings show that, with value Root Mean Squared Error (RMSE) and R2 Score BiGRU gives the best results with the lowest error rate. The algorithm with the biggest error rate is LSTM. This study advances strategies for predicting rainfall that can be applied to managing water resources and responding to natural disasters related to rainfall.
VGG-19 and histogram equalization for human face shape classification on mobile platforms Herlambang Kurniawan; Enny Itje Sela
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 4 (2023): September : 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.Vol15.2023.570.pp177-187

Abstract

The face is one of the distinctive characteristics of an individual and is often used to identify or distinguish one from another. The face itself has several characteristics, one of which is the shape of the face. The shape of the face has quite an important role in matters related to appearance. One example is the application in the fashion sector, where the structure of the face shape is a determining factor in choosing a hairstyle, choosing eyeglass frames, make-up and other aspects. This research focuses on comparing several types of CNN architectures such as InceptionV3, MobileNetV3, VGG-19 and CNN itself and the effect of increasing the intensity of pixel values using the histogram equalization method is also carried out. As well as implementing the system using the Flutter framework for development to the mobile platform. From the research results, it was concluded that the VGG-19 method coupled with histogram equalization succeeded in getting an accuracy level of 79.84%.
Clustering of goods in the lustrorezea online shop Erlinda Erlinda; Febri Haswan
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 4 (2023): September : 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.Vol15.2023.594.pp199-205

Abstract

Lustrorezea is an online shop that was founded in 2018 and has 150 regular customers. This Lustrorezea online shop sells goods in the form of women's, men's, children's clothing and other items, not all items sell well, there are also items that very popular, and not very popular, therefore we need technology in the form of data mining, data mining can help business people make decisions quickly and precisely. In this research, data grouping uses the Rapid Miner application. By using the Rapid Miner application you can group data more quickly and accurately. The results of this research are the formation of 3 clusters by determining the types of goods that are very popular, best-selling and less-selling. With this data, the owner of Lustrorezea can analyze stock needs so that sales can increase further and minimize losses.
Quantum computing in cryptography: Exploring vulnerabilities and countermeasures Kurniawan, Deni; Triyanto, Dedi; Wahyudi, Mochamad; Pujiastuti , Lise
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 4 (2023): September : 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.Vol15.2023.625.pp206-213

Abstract

This research delves into the critical analysis of vulnerabilities arising from the advent of quantum computing in traditional cryptographic systems. Employing a newly developed mathematical formulation model, the study meticulously evaluates the susceptibility of classical encryption methods, exemplified by XYZ Bank's RSA and ECC algorithms, to quantum algorithms such as Shor's and Grover's. The assessment reveals pronounced vulnerabilities, particularly highlighting the high susceptibility of RSA encryption to quantum attacks, emphasizing the urgent need to fortify existing cryptographic systems. The research rigorously evaluates potential countermeasures, with Post-Quantum Cryptography (PQC) emerging as a promising solution, showcasing superior effectiveness in mitigating vulnerabilities posed by quantum algorithms. The strategic imperative for organizations to transition towards PQC or other post-quantum cryptographic standards is evident, signaling a paradigm shift towards resilient encryption methods resilient to the disruptive capabilities of quantum computing. The research underscores the significance of collaboration among industry stakeholders, continuous research endeavors, and proactive measures in adopting quantum-resistant cryptographic standards to fortify data security strategies against potential quantum threats in an ever-evolving technological landscape.

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