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JMAI (Jurnal Multimedia & Artificial Intelligence)

jmai
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Published by Universitas Mercu Buana Yogyakarta

ISSN : 22014155 EISSN : 25802593 DOI : -

Core Subject : Science,

Computer Science & IT

The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education.

Arjuna Subject : -

Articles 53 Documents

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Application of Steganography for Inserting Text Messages in Digital Images Using the Least Significant Bit Method Nasrullah Akbar Ramadhani; Indah Susilawati
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 1 (2020): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

The development of digital media (Internet, electronic mail, and so on) gas data is already common, along with such developments, crimes in the field of information technology and telecommunication increasingly occur. Digital data commonly used is digital imagery, digital imagery that is transmitted through the media can be important data, so there is a problem arises how to secure digital imagery is confidential. One ofhis ways is steganography. The goal in this study inserts text messages using a steganography technique with the Least Significant Bit method on the digital Image media. The Least Significant Bit Method performs the insertion of a text message into a digital image by changing the value of the pixel to 8 bits then taking the leading 4 bits to be inserted at 4 the last bit at 8 bit pixels, the process of inserting a text message on digital imagery will be divided into three layers namely layer Red, layer Green, layer Blue . Once the digital image is saved, the extract process is aimed at retrieving text messages that are already stored in the digital image. In this test there are two images used that image size 325x325 pixels and image size 473x354 pixels each image is performed three times the insertion of text messages different number of characters ranging from three words to one paragraph. The image encryption process that becomes the container is not significantly different from the original, for image description results that have been inserted in a hidden text message can be returned with a change in the pixel value that does not alter the image Significant.

Prototype Desain Keamanan Login Menggunakan Biometrik Wajah Dengan Metode Eigenface sugeng widodo
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 1 (2020): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Login security is a major problem when using a device that is connected in an outside network or internet network. Therefore a data security using face biometrics is performed. Eigenface is a face recognition method based on the Principal Component Analysis (PCA) algorithm. In short the process is that the image is represented in a combined vector which is made into a single matrix. From this single matrix, we will extract a main feature that will distinguish between one face image and another face image. In using the biometric login system this face is the user registering to the system then the user's face will be trained so that the user will be recognized by the system for login purposes. When a user logs in, the user's face data will be processed in real time and matched with the data in the database so that if the data match, the user will successfully log in. The standard face distance from the webcam is 50-60 cm, while the minimum exposure level of the face that can be recognized is 5 lux, and the angle of the face that the system can still recognize is 40 °.

Asosiasi Rule Implementasi Data Mining Menentukan Rekomendasi Penempatan Buku Berdasarkan Pola Peminjaman Dengan Menggunakan Association Rule: Implementasi Data Mining Menentukan Rekomendasi Penempatan Buku Berdasarkan Pola Peminjaman Dengan Menggunakan Association Rule Yusuf Nawawi
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 1 (2020): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Library book lending data is increasing, thus a processing to make the lending transaction record data into information is required to help library visitor find books by finding relation with book borrowed at the same time. The relation of borrowed book item was found by analyzing library book lending data from 2014 to March 2019. The data was cleaned to select the attributes of id member, book code, book title and inconsistent writing, then the data was grouped into one single transaction during book lending in the library and transformed into tabular data to calculate the itemset of books borrowed at the same time. Association rules were made using data which had been grouped and transformed into one tabular data transaction during lending, resulting in 2225 transaction data with 0.01 support and confidence by putting the limit of 50 association rules with the highest role being lending communication science book with psychology book with support x confidence of 8.17%

Evaluasi Sistem Informasi Akademik Universitas Mercu Buana Yogyakarta Menggunakan UTAUT2 DAVID HADIANSYAH
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 1 (2020): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

One form of the adoption of the College Information Technology (IT) is Academic Information System (SIA) at the University of Mercu Buana Yogyakarta (UMB Yogyakarta). After a few improvements in 2016 and 2017, Directorat ICT felt need to conduct a SIA evaluation with the intention to know the level of admission of students in the use of SIA in Yogyakarta UMB to be the cornerstone in Next development. One of the suitable models for the evaluation of the user's acceptance of technology is a model developed by Venkatesh et al in 2012 which was named the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The test equipment used in this research is SPSS for validity testing and realibility testing, as well as SmartPLS for final tests. Based on the results of the analysis, this study has eight conclusions of the ten accepted hypotheses. Further intentions of student behaviour and behaviour in the use of SIA are medium or moderate category. Further intentions of student behaviour and behaviour in the use of SIA are medium or moderate category. Keywords: SIA UMB Yogyakarta; UTAUT2; SPSS; SmartPLS; Validity; Reliability.

M Model RGB, CV, Indeks R, Indeks G, Indeks B, HSI Dan Metode Wavelet Daubechies Untuk Identifikasi Jenis Daging Sapi Untuk Mendapatkan Kualitas Daging Terbaik Kiswanto Kiswanto; fitriyanti fitriyanti; Benny Wijaya
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 1 (2020): JMAI (Jurnal Multimedia dan Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

This image identification application can adjust to the current needs of the community in choosing the type of beef. Unfortunately, this development has not been used optimally to choose the type of beef. This is because the quality of beef is not good enough. This paper proposes a solution by calculating the values of R, G and B on each image of the flesh, then normalizing the process to get the index value R, index G and index B and the conversion process from the RGB model to the HSI model to obtain the value of Hue, Saturation and Intensity. The purpose of this study is to provide the best quality beef. This research uses RGB, CV, R Index, G Index, B Index, HIS wavelet daubechies method. This research contributes to the provision of beef-sorting services.

SISTEM PENCARIAN RUTE DISTRIBUSI TERPENDEK MENGGUNAKAN ALGORITMA GENETIKA (STUDI KASUS DISTRIBUTOR SARI ROTI YOGYAKARTA) adena reis vanrika
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jmai.v4i2.104

In the modern era is the role of technology is very useful and rapidly evolved in societies, technology can make efficient and make effective activity or employment in the community, one of the roles of the current technology has been widely used in by the community i.e. google maps, google maps itself many uses and benefits of its one that is looking for a location to various places and then showing the route of the journey. On the existence of a travel distribution company couriers to deliver its products to any location of the consumer. These problems in the case of travelling salesmen problem (TSP), where a courier will visit a number of n points. and every point should only be visited once in addition to the starting point. In this study, researchers aim to create a system that can locate the most minimum distribution route using a genetic algorithm, utilizing the features of google maps so that the impact on the effectiveness of time and transportation costs. Genetic algorithm is a heuristic algorithm is used to resolve the problem by way of mengoptimasikan the problem with imitating the process of evolution of living beings. In this study data on use is data from the distributor sari bread jogjakarta. Data on testing trainers in this research aims to find the best algorithm parameter values and parameter values that is obtained by the total population = 100, maximum = 100 genes, the crossover rate = 0.5, and the mutation rate is 0.1. Of the 5 test data, by performing a test on each of the 10 test data. then the obtained results of genetic algorithm performance results percentage of 84% of the route or the value of an optimal fitness, and 16% showed error route that is not optimal.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER BUKU PADA TOGAMAS MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Leni Karlina
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jmai.v4i2.107

A selection of the best books’ supplier is very important in a bookstore, in producing books for their store. Sometimes, several books suppliers are difficult to choose, because many books suppliers from many regions, in which the selection is still manual. Such way causes a decision making which needs an accurate and precise calculation among the existed books suppliers. Therefore, researchers designed a decision support system for books suppliers’ selection, to be used by the TOGAMAS Bookstore in determining the books suppliers which will easily be selected, based on the specified criteria. This decision support system was created using the method of Simple Additive Weighting (SAW) as the tool that would help the TOGAMAS. The test was done by comparing the calculation from the TOGAMAS, with the calculation from the SAW, using 10 suppliers’ data to test the system performance. Based on the test, it was concluded that the percentage of the system performance was 50%.

Perancangan Steganografi Penyisipan Pesan Teks pada Citra Digital Menggunakan Pixel Value Differencing David Saputra
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Steganography Design of Text-Message Insertion in Digital Images Using Pixel Value Differencing

Identifikasi Daging Ayam Kampung Segar Dengan Daging Ayam Kampung Basi Menggunakan Metode Learning Vector Quantization Dennis Feliawan Aji
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jmai.v4i2.119

Kampong chicken meat is meat obtained from kampong chicken. kampong chicken meat is considered expensive because they take longer time to grow up, a lot of people cheat by selling stale kampong chicken meat. The characteristics used to identify the meat’s image are homogeneity, contrast, average and variants. The number of data used in this research consists of two classes, each class has 30 image data, the total data is 60 training data. Whereas for test data, each class used 20 test data with a total of 40 test data. During the training process using LVQ parameters, there were 2 best percentages of 90%, namely on alpha 0.001 with a dec alpha of 0.2 and alpha 0.01 with a dec alpha of 0.9. The identification performed using the final weight from alpha 0.01 and dec alpha 0.9 had an 90% accuracy level with 4 iterations. The best performance from 40 test data using this software was with alpha 0.01 and dec alpha 0.9, which reached 90%.

Sistem Pertanian Padi “Sipadi” Rice Farming System As a Web-Based Agricultural Business Development Technology Vella Yulitsa Tri Bawana
JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 5 No. 1 (2021): JMAI ( Jurnal Multimedia & Artificial Intelligence)
Publisher : LPPM Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jmai.v5i1.129

Blitar Regency is one of the producers of agricultural commodities. Agricultural products in the Blitar Regency are quite stable because geographic areas that are considered to have fertile soil and their people have traditionally carried out agricultural activities from an early age can produce abundant agricultural products and can meet the needs of the community with these agricultural products. However, it is not uncommon for farmers to receive yields that tend to rise and fall unstably due to the season and also pests on agricultural products, especially rice. This study aims to assist farmers, especially rice farmers in determining the process of land management, selection of seeds or rice seeds, rice care, pest classification, harvesting, inventors, and turnover or profit estimates. This research uses a qualitative method with a descriptive approach. Data collection used by researchers is by means of surveys, interviews, observations, and secondary data and documentation as supporting research, and using Backtracking Algorithms. In the application that we make is very helpful for farmers, especially in Blitar Regency.

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Home Page

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Contact Name
Arita Witanti

Contact Email
jmai@mercubuana-yogya.ac.id

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Editorial Address
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Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Arita Witanti

Contact Email jmai@mercubuana-yogya.ac.id

Phone -

Journal Mail Official jmai@mercubuana-yogya.ac.id

Editorial Address -

Location Kab. bantul, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Arita Witanti

Contact Email
jmai@mercubuana-yogya.ac.id

Phone
-

Journal Mail Official
jmai@mercubuana-yogya.ac.id

Editorial Address
-

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA