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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Computer System and Informatics (JoSYC) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Dedy Alamsyah
Universitas Muhammadiyah Tangerang, Tangerang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Implementasi Metode Complex Proportional Asessment (COPRAS) Pada Sistem Pendukung Keputusan Pemilihan Bluetooth Audio Transmitter Dedy Alamsyah; Rini Nuraini; Muhammad Bagir
Journal of Computer System and Informatics (JoSYC) Vol 3 No 3 (2022): May 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i3.1695

Abstract

Bluetooth audio transmitter is a device capable of converting wired audio signals into wireless. With a Bluetooth audio transmitter, a TV or PC that doesn't have bluetooth facilities can connect to headphones or speakers without using a cable. However, currently bluetooth audio transmitters have been circulating in the market with various brands and brands that offer different capabilities and specifications. So, it takes foresight in choosing the right bluetooth audio transmitter and as needed. Inaccuracy in choosing a bluetooth audio transmitter results in the device's performance not being maximized and incompatibility with the wishes of the user. This study aims to develop a decision support system for selecting a bluetooth audio transmitter using the Complex Proportional Assessment (COPRAS) approach. The COPRAS method is able to solve election problems through the calculation of the utility level which shows the extent to which an alternative is better or worse than other alternatives through a comparison process. The system built has features such as managing criteria data, determining weights, managing alternatives, assigning a value to each alternative, seeing the results of the COPRAS method calculations and seeing the ranking of the results of the system recommendations. Based on testing through the black-box testing technique, it shows that the system built has been running as it should
Analisis Kualitas Website Menggunakan Metode Webqual dan Importance Performance Analysis (IPA) Pada Website Pondok Pesantren Al-Hidayah Pringsewu Yusra Fernando; Catur Apriyani; Donaya Pasha; Dedy Alamsyah
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 6 (2022): RESOLUSI Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v2i6.406

Abstract

The web has turned into an inseparable part of human existence in this computerized age. With the web, all the ideal data can be obtained effectively and quickly. However, the quality of the website needs to be evaluated to improve the information provided by the website. The purpose of this study was to analyze the quality of the website of the Al-Hidayah Islamic Boarding School. Website quality analysis using the Webqual method is a measurement of website quality based on end user perceptions and Importance Performance Analysis (IPA) is a technique for identifying the quality measurement attributes of the product. Based on the results of the Webqual Index calculation on the Al-Hidayah Islamic Boarding School website, it can be seen that the service interaction dimension gets the highest index value. While the information dimension (information) gets the lowest index value. Then the Importance Performance Analysis on the website there are several attributes that are in quadrant I which are the main priority for improving the quality of the website to increase user satisfaction, the information dimension is an indicator of timely information, relevant information. In the service interaction dimension, it is a safe indicator of personal information, feature facilities can be accessed properly, thus providing easy input or suggestions for the school.
Classification of Medicinal Wild Plant Leaf Types Using a Combination of ELM and PCA Algorithms Dedy Alamsyah; Farli Rossi; Ri Sabti Septarini; Mohammad Imam Shalahudin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6817

Abstract

Despite their detrimental nature, it turns out that wild plants have many benefits for human health. Wild plants with a form of herbaceous vegetation contain ingredients that can be used as medicine, especially in their leaves. However, because the information is very similar and the form is similar, people don't know about it. For this reason, the aim of this research is to implement an artificial neural network algorithm using Extreme Learning Machine (ELM) and the Principal Component Analysis (PCA) algorithm to classify images of wild plant leaves with medicinal properties, especially in herbaceous vegetation. The feature extraction used in this research involves morphological features by considering the shape of the object. The PCA algorithm will reduce data complexity and identify hidden patterns in the data by changing the original feature space to a new and more concise feature space. Next, the ELM algorithm is used to recognize class grouping patterns when solving classification problems. Accuracy test results show a value of 90.667%.
Implementasi Algoritma A* (A-Star) dan Greedy Dalam Penentuan Routing Pada Wide Area Network (WAN) Alfry Aristo Jansen Sinlae; Rini Nuraini; Dedy Alamsyah; Sampurna Dadi Riskiono
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3374

Abstract

The continuous development of the internet has led to changes in routing complexity. In the context of a wide area network (WAN), network flow optimization becomes a major issue in the selection of the fastest route, which involves routing protocols. Algorithms in routing protocols are designed to determine the shortest path. Therefore, studies are needed regarding how to build a routing algorithm that can be used to get the shortest path in each process. This study aims to reduce network workload and compare the computation involved in determining the shortest path using the Greedy algorithm and the A* algorithm. The simulation results show that the A* algorithm is superior to greedy. The measurement results show that the final cost of the Greedy algorithm is 44 and the A* algorithm is 38. Taking into account the heuristic value for each node, the A* algorithm is superior to the Greedy algorithm in determining the shortest path.
Co-Authors Alfry Aristo Jansen Sinlae Catur Apriyani Donaya Pasha Farli Rossi Mohammad Imam Shalahudin Muhammad Bagir Ri Sabti Septarini Rini Nuraini Rini Nuraini Sampurna Dadi Riskiono Yusra Fernando