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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
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Articles 50 Documents
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Search results for , issue "Vol 2 No 4 (2018): April 2018" : 50 Documents clear
Penentuan Menu Makanan Untuk Penderita Diabetes Menggunakan Metode Iterative Dichotomizer Tree (ID3) Naufal Sakagraha Kuspinta; Agus Wahyu Widodo; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.229 KB)

Abstract

Diabates Mellitus (DM) is a metabolic disorder caused by several factors such as insulin deficiency or the inability of the body to utilize insulin. Most patients suffer from this disease due to heredity and unhealthy lifestyle. Diabetes Mellitus is also a chronic disease that became a public health problem in Indonesia. In the body of patients with DM, the inability to automatically adjust the sugar levels in the blood like a healthy person makes them suffering from diabetes. Significant increases in hyperglycemia or sugar levels are believed to increase along with digested consumption. Causes of food sources consumed. Iterative Dichotomizer Tree (ID3) is one of the methods. Subjects in this research is the application of data grouping by using Iterative Dichotomizer Tree (ID3) to classify diabetic food menu data. The dataset used in this study is sourced from Puskesmas Kendalsari Malang. The results of this study is a system capable of grouping food menu datasets for diabetics using the ID3 method. From the test conducted by the results of the testing of 80 data trainning dan 20 data testing is 75%.
Implementasi Algoritme Support Vector Machine (SVM) untuk Prediksi Ketepatan Waktu Kelulusan Mahasiswa Arif Pratama; Randy Cahya Wihandika; Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Graduate on time is the desire of all students. In reality, not as expected many students who graduated more than four years. necessitating the application of predictive graduation students can classify graduation prediction data based on parameters that have been determined. Because it is necessary for the application of intelligent systems can classify graduation prediction data based on parameters. Algorithm Support Vector Machine (SVM) to classify the data into two classes using kernel Gaussian RBF with a combined value of parameter λ = 0,5, constant γ = 0,01, and ε (epsilon) = 0,001 itermax = 100, c = 1 by using training data as much as 170 datasets , this study resulted in an average accuracy of 80,55 %.
Evaluasi Kualitas Layanan Pada Aspek Before Sales Service, After Sales Service, dan Kepuasan Pelanggan (Studi Pada E-Commerce XYZ) Ratna Khansa Anantika; Ari Kusyanti; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-Commerce XYZ is one of the most highly ranked E-Commerce sites from year to year, but it can not be ranked top. It shows that the importance of user satisfaction in influencing the quality of service is expected to improve the ranking of E-Commerce XYZ. Research has tested on two quality services, ie Before Sales Service and After Sales Service by using E-S-QUAL with Linear Regression analysis and Rank Spearman. Before Sales Service acts as a user perception before transacting to be researched on an E-S-QUAL scale, while After Sales Service acts as a perception when the user has transacted and goods to the hand that will be examined on an E-Recs-QUAL scale. Data collection technique is done by distributing questionnaires with the number of samples of 100 respondents who have characterized the ever visited and transacted at E-Commerce XYZ. The results showed Efficiency, Fulfillment, System Availability, Privacy, Responsiveness, Compensation, and Contact respectively have a significant relationship to satisfaction. The results of the research together also shows Before Sales Service and After Sales Service has a significant relationship to satisfaction.
Pengembangan Sistem Informasi Geografis Cagar Budaya di Malang Raya Berbasis Webgis, 3D, dan Gamifikasi Machrus Alawi; Fatwa Ramdani; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Preserve culture is a cultural heritage that is material in the form of cultural heritage, the cultural heritage building, the structure of cultural heritage, the cultural heritage site, and the cultural heritage on the ground or in water that needs to be preserved the existence of it because it has significant value for history, religion, education, science and culture through the process of setting that have criteria in the form of unity or group who was at least less than fifty years, or on behalf of the style typical and representative of the style of at least fifty years. There are problems about the people's lack of awareness and knowledge of the importance of cultural heritage and values of culture. And the factor of the nature and theft that would eliminate the Preserve culture. One of the preservation that can be set is to make Geographic Information System (GIS). In this case as an object research is the temple and statue in Malang Raya (the city of Malang, Batu, and the District of Malang). Make GIS cultural heritage just not enough because the system the information will only display the location and information about the history of the site. Research is also using the method of 3D visual and gamification. Where's temple site and statue at each location will be used as a 3D model and history and information from each temple site and statue will be made in the game a quiz that will support GIS which was built. As a result of this research is a website based on a GIS capable of mapping the location of cultural heritage (the temple and statue) in Malang Raya, visualization of 3D models of every temple and statue, the game a quiz about the history of the temple and statue.
Analisis Faktor-Faktor yang Memengaruhi Perilaku Pengguna Sistem Informasi Akademik Mahasiswa dalam Penciptaan Kata Sandi Kuat dengan Menggunakan Protection Motivation Theory (Studi pada XYZ) Yustiyana April Lia Sari; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sistem Informasi Akademik Mahasiswa (SIAM) is a web-based Information Technology service that provides academic information services for students. The password policy service requires all students to create strong passwords in accordance with the policy for the creation of data security as well as user information. The user's desire to create a strong password is certainly influenced by several factors. The purpose of this study is to determine the factors that affect the user behavior of XYZ's SIAM account in the creation of strong passwords. This study uses Protection Motivation Theory (PMT) and is confirmatory because it only performs model testing based on previous research. Data collected from active users of SIAM service of XYZ were 281 respondents. Data analysis method used is Structural Equation Modeling (SEM) analysis. The research used six latent variables: Perceived Severity (PS), Perceived Vulnerability (PV), Fear (FR), Response Cost (RC), Response Efficacy (RE), and Intention (INT). From the research results, the factors that influence users in creating strong passwords according to policy are perceived vulnerability, response cost, and response efficacy.
Implementasi Algoritme Grain V1 Dan 128 Bit Pada Arduino Mega 2560 Ajeng Nurrohmah; Ari Kusyanti; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technology developments demanded cutting-edge data security systems, especially on hardware systems. NIST (National Institute of Standard Technology) is an institution that oversees data security standards. NIST organized an eSTREAM project to search for new stream cipher algorithms for various hardware and software application profiles. The algorithm chosen for hardware is the grain algorithm. Grain algorithm is superior because the architecture has a complex level of complexity so that the level of security is higher. The algorithm has two versions v1 and 128 bit. This research tells how to use grain algorithm to secure data on hardware side applied to arduino mega. Researchers chose arduino mega due to the use of this microcontroller in the IoT and there is no update data security using the latest stream cipher. Conducted 3 stages of testing that is validation test vector, performance analysis between grains through the execution time keystream and data encryption and decryption. This research yielded keystream validation in accordance with test vector. The results were analyzed using Independent t-test statistic test, with the result of Sig's keystream execution time. 0.662 then there is no significant difference in the performance of grain algorithm v1 and 128. While the results of the execution time of encryption and decryption of both algorithms also have no significant differences, indicating that arduino mega has a stable performance in running both algorithms.
Rancang Bangun Aplikasi Augmented Reality Pemilihan Sepatu Berdasarkan Ukuran Kaki Pengguna Irsyad Fauzan Noor; Herman Tolle; Wibisono Sukmo Wardhono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Each individual always wants to look as good as possible in public. One thing (outfit) of concern is the shoes. each individual has their own way to fulfill their needs, such as shopping in stores or online. With the ignorance of the buyer in shopping online can lead to problems in the selection of the appropriate shoe size with the size of the foot. therefore, it is necessary to build a system that can help the buyers to know the shoe size that is consistent with the size of the foot. By applying the Augmented Reality (AR) system as one solution to resolve these issues. Augmented Reality is a technology that displays virtual objects in the real world in real time. This study aims to create an android system using augmented reality to display a 3D object to simulate the size of shoes shoes on the feet of the user. This system is built by using some software such as Android Studio, Autodesk 3ds Max, Unity 3D, and Vuforia. The system works by scanning the marker is determined and printed on a sheet of paper. If the marker is detected by the system, 3D objects such as shoes will appear on the screen. The results of this study are based on android augmented reality systems can help users in knowing the shoe size in real time.
Implementasi Algoritme Grain V1 Dan 128 Bit Pada Raspberry PI Syahifudin Shahid; Ari Kusyanti; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1312.241 KB)

Abstract

NIST (National Institute of Standard Technology) is the institution that regulates data security standards. NIST held a project called eSTREAM to update old outdated stream ciphers. The grain algorithm is selected as a security algorithm on the hardware side and replaces the previous stream cipher. Grain algorithm has 2 versions, 80 bit and 128 bit. Security at the hardware level is also required to keep information data. With the update of security standards from NIST, this research is conveying the idea to utilize the grain algorithm for data security that will be implemented in raspberry pi. This study chose raspberry pi due to the large use of this mini PC in the Internet of Things and there is no update data stream cipher security. Raspberry pi that has been implemented with grain will do 3 testing that is test of keystream validation with test vector, time of execution process of IV and Key to produce keystream and encryption and data decryption. The test of execution time, will be analyzed using Independent t test test, the result of testing of keystream execution time on grain v1 and 128 algorithm is -2,146 with probability (Sig.) 0,000 indicates a significant difference, as well as with execution time of 8, 12 and 16 bit encryption and decryption. This research concluded raspberry pi performance for both stable versions.
Analisis Faktor-Faktor yang Memengaruhi Pemahaman Privasi Informasi pada Pengguna Smartphone di XYZ dengan menggunakan Mobile User's Information Privacy Concerns (MUIPC) Evi Oktavia Kurniawati; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Smartphone is a mobile that can facilitate users in interacting with other users. Nowadays, people can't spend a day without their smartphones due to increased productivity when using it. But, behind the development of information technology and telecommunications which seems favorable, on the other side this development can be done by the developers of smartphone by processing users's information which they obtain from the user's smartphone with their own policy without the knowledge of the user. This can be detrimental to users of the smartphone because they can't control the policies of information privacy that can be accessed by the developer. This research aims to analyze the factors that influenced the understanding of the information privacy of smartphone users at XYZ using the mobile user's information privacy concerns (MUIPC), this research used 8 latent variables and 26 manifest variables. The data was collected from the active smartphone users with the age ranged above 17 years old at XYZ with 278 respondents. Data analysis methods that used is Structural Equation Modeling (SEM). From the results, showed that factor understanding of the privacy information on smartphone users at XYZ was influenced by the variables Prior Privacy Experience, Secondary Use of Personal Info, Perceived Surveillance, and Perceived Intrusion.
Implementasi Algoritme Support Vector Regression Pada Prediksi Jumlah Pengunjung Pariwisata Mimin Putri Raharyani; Rekyan Regasari Mardi Putri; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tourism has an important role for the economic growth of a region. One of the factors affecting the tourism revenue sector is the number of visitors. The more number of visitors can increase revenue, if the number of visitors decreased it will have an impact on the development of tourist attractions that can harm the manager of tourism. The prediction system of the number of visitors is needed as an illustration of the level of the number of tourism visitors for the period to come and can provide information to the managers of tourism to prepare better facilities and infrastructure and able to manage income and expenses to minimize losses. The prediction of the number of visitors to tourism can be done by applying the Support vector regression algorithm. Support vector regression algorithm is a method that can solve regression problems and produce good performance in the solution. In this study data used 72 data on the number of visitors monthly on tourism from 2010 to 2015. Test results show that the average value of MAPE minimum generated is 9,16% and the best MAPE value obtained is 6,98% which means The average difference between the predicted result and the actual data is 115 visitor number with sigma parameter = 925,8409 lambda = 0,3868, cLR = 0,0802, epsilon = 1,27E-10, complexity = 3234,539, maximal iteration 5000.Keywords: prediction, tourism, visitor number, support vector regression

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