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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI

Dedy Alamsyah

Universitas Muhammadiyah Tangerang, Tangerang

Author-ID : 3997781

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Articles

Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas Rachmat Destriana; Desi Nurnaningsih; Dedy Alamsyah; Alfry Aristo Jansen Sinlae
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): Juni 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category

Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code Qubaila Ega Fazrin; Tuti Lisnawati; Sri Nurhayati; Juli Budi Satya; Dedy Alamsyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Attendance is the process of recording and managing attendance data that is carried out daily during working hours at each company. Errors in recording employee attendance greatly affect employee earnings. So, the validity of the recording is needed. The attendance recording system manually is error-prone and its recapitulation takes a long time. To overcome this, it is necessary to develop an attendance system that can be done quickly and produce valid reports regarding the time of entry and exit. In this study, a presence application will be developed using QR Code scanning by applying the Extreme Programming (XP) method. The extreme programming (XP) method offers stages in a relatively short time. Based on black box testing, the generated QR Code presence application is in accordance with user needs with a functionality test value of 100%

Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Desi Nurnaningsih; Dedy Alamsyah; Arief Herdiansah; Alfry Aristo Jansen Sinlae
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well

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

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

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

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%.

Co-Authors Alfry Aristo Jansen Sinlae Catur Apriyani Desi Nurnaningsih Destriana, Rachmat Donaya Pasha Farli Rossi Herdiansah, Arief Juli Budi Satya Mohammad Imam Shalahudin Muhammad Bagir Qubaila Ega Fazrin Ri Sabti Septarini Rini Nuraini Sri Nurhayati Tuti Lisnawati Yusra Fernando

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