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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.
Arjuna Subject : -
Articles 6,850 Documents
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Pengembangan Perangkat Lunak IoT Cloud Platform Berbasis Protokol Komunikasi HTTP Ocki Bagus Pratama; Adhitya Bhawiyuga; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The primary aim of Internet of Things (IoT) is to expand the benefits of Internet connectivity by connecting objects around us to the internet, thus enabling remote control and accessibility. IoT devices often have limitations in terms of storage capacity and computing capabilities. This requires the IoT device to be integrated with systems that have better computing capabilities One of them is cloud-based computing system. However, the integration between IoT and cloud devices has challenges in terms of network communication, security, and device management. Network communication is the number of network technologies being used, thus the selection of communication protocols should consider its support for a variety of devices. Security and privacy are a concern because of the large number of IoT devices that can be easily connect to the cloud, requiring authentication and authorization that is required to identify and validate devices that transmit the data. Device management is required due to the large number of IoT devices that will be used, it requires a device management mechanism. Based on those problems, a solution was proposed on IoT cloud platform design using HTTP communication protocol to solve network communication and RESTful for device management constraints. As for identifying and validating devices that transmit data, an authentication and authorization mechanism using JSON Web Token is utilized. The result of system performance testing, is that the built systems are capable of handling up to 100 users simultaneously.
Analisis Faktor-Faktor yang Memengaruhi Niat Pengguna Internet untuk Menggunakan Fungsi Single Sign On Google dengan Metode SEM (Structural Equation Modeling) Lina Andreina; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Google is a company which provides email account. Email account is used for third-party service's registration. Nowadays, Google provides single sign on function. This function enables Internet users, use only one authentication process to obtain permission to access third-party's services. Single sign on process allows data sharing process from respective account (Google's Email) to the third-party. This process increases the risk of personal data loss. This research aims to determine the factors that affect Internet user's intention to use Google's single sign on, by using SEM (Structural Equation Modelling). In this research, there are 10 latent variables with 30 indicators. Those variable latent are Trust, Perceived Usefulness, Perceived Ease of Use, Behavioral Intention of Use, Risk, Security, and Privacy (Second order using IUIPC). This research collects 247 respondents, who have used Google's single sign on, through online questionnaire. The results shows,research model is Fit and the factors that affect Internet user's intention to use Google's single sign on are Perceived Usefulness and Risk
Implementasi Metode Improved K-Means untuk Mengelompokkan Dokumen Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Muhammad Abdurasyid; Indriati Indriati; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Journal of Information Technology and Computer Science Development (J-PTIIK) is a scientific journal in the field of computer that contains scientific writings of research results FILKOM Brawijaya University students that published periodically. J-PTIIK is a journal document that has journal topics that are in the field of information technology and computer science. At this time J-PTIIK is clustered by volume archive and published journal number. To facilitate the identification of journal topics contained in J-PTIIK, J-PTIIK documents can be clustered based on similarity of topics contained in J-PTIIK. J-PTIIK documents clustering is made using improved k-means method. The improved k-means method is the unsupervised clustering techniques with the initial centroid determination obtained by combining the optimization method of distance and density. Document pre-processing and formation of vector space model to perform term weighting is done first before clustering the J-PTIIK documents. Based on the evaluation results, J-PTIIK documents clustering obtained an optimal silhouette coefficient by 0.026574 at k = 19 and α = 0.50. Optimal purity test results obtained by 0.738197 at k = 23 and α = 0.50. The research result shows that the use of improved k-means method has better silhouette coefficient than k-means method, with average value of silhouette coefficient at improved k-means method by 0.016457654 and k-means method by 0.011820563.
Penerapan Algoritme Jaringan Syaraf Tiruan Backpropagation pada Pengklasifikasian Status Gizi Balita Maria Sartika Tambun; Muhammad Tanzil Furqon; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Growth and development of children is an important thing that can be known by the assessment of nutritional status. A benchmark of a fulfilled accomplishment of nutrients in children who can be classified with severe obesity. Assessment of the nutritional status of toddlers can be determined by measuring the body known as "Anthropometry". In classifying the nutritional status of toddlers there is a concern that is on the community about the nutritional problems are good to know from many toddlers who are good nutrition, and also want to know which one is really the ideal nutrition. Because in the assessment of nutritional status of toddlers through good nutrition Antroprometry there is a large range. In the testing process using backpropagation method begins with the number of iterations, the value on the learning rate, the error limit and the amount of training and test data. In the study there are 3 input layer neurons, 3 hidden layer neurons and 1 output layer. The results of the test phase is obtained from the highest accuracy of 54.0% for the value of learning rate 0.1, the error limit of 0.001 and 0.005. The amount of train data and test data used is 80:10, with 10000 iteration. The lowest accuracy obtained is 43.0% ie on the results of the training data and test data is 70:50, and the learning rate of 0.3 and 1000 maximum iteration.
Evaluasi Gameplay Pada Game Dreadout Dan Outlast 2 Menggunakan Metode Heuristic For Evaluating Playability Abimanyu Prayuda I. H. Alfianto; Eriq Muhammad Adams Jonemaro; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dreadout is game with horror genre developed by Digital Happiness from Indonesia. Outlast 2 is one of the best horror genre game with high Metacritic score and has many positive reviews on Steam. In both games there are elements that make players interested in playing it. One element that makes players interested is, Gameplay. Gameplay is an important element in the process of making games. There are techniques for developing gameplay one of them is Atomic Element of Game. To find out the gameplay in both games is interesting for players, then the evaluation using the method of Heuristic For Evaluating Playability which is a way used for evaluation on the game. Evaluation aims to get the player's interest factor in the game's gameplay. With the evaluation results can be made recommendations Atomic Elements of Game is better for both games based on the wishes of respondents.
Optimasi Komposisi Pakan Kuda Dewasa Menggunakan Algoritme Genetika Rheza Raditya Andrianto; Lailil Muflikhah; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is one of a country in the world that has a diversity of livestock population such as cows, goats, sheep, and horses. Over time followed by the modern era, the horse population decreased because of the role of horses in various ways and non-fulfillment of nutrition by the horses feed. In this study tries to implement genetic algorithm to get the composition of feed at a minimal cost but the required nutritional standards remain met so as to maintain the health and stability of the horse breed. The representation used in this study is a real code in which each chromosome initializes the feed ingredients used. The reprodustion method used in this study is extended intermediate crossover combined with reciprocal exchange mutation method, and for the last step elitism selection used as a method for selection. Based on the testing results of this study, the optimal parameters obtained is at 70 population, 250 generation and value combination of crossover rate and mutation rate as 0,5 and 0,5 with the highest fitness 0,18887407184772886. The result obtained in the form of feed composition with a minimum cost based on the nutritional needs of adult horses.
Sistem Pendeteksi Dehidrasi Berdasarkan Warna dan Kadar Amonia pada Urin Berbasis Sensor TCS3200 Dan MQ135 dengan Metode Naive Bayes Rint Zata Amani; Rizal Maulana; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 5 (2017): Mei 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dehydration is a condition when human body tissue's loss of fluid abnormally and this condition often underestimated by common people, so in case on serious level illness of dehydration will causes death. However nowadays to detect dehydration still according to analysis from health team by some clinical sign that cause dehydration. From this problem, it is needed a research about automatic system to detect dehydration level that can use by common people, so can decrease amount of dehydration's patient that untreated since begining. On this research, the parameters were used to compare dehydration's level are color and level of ammonia in human urine. The reason of using urine as research object is because urine condition reflect fluid condition in human body. Process to determine dehydration's level from color and level of ammonia in human urine is perform with read data color sensor TCS3200 and gas sensor MQ135 by Arduino Uno Microcontroler with Naive Bayes method. Naive Bayes method is selected as a technique to make a decision of dehydrations level because this method was one of classification method that good, which the classification classes of dehdydration level were already known since begining. From some testing result, it has known that the error percentage of color sensor TCS3200 on read the color object was 2,70% and the corelation value of gas sensor MQ135 reading with out voltage of sensor was 99,81%. And then on system testing by Naive Bayes method with amount of training data was 46 data and testing data as many as 23 data, the accuration reached 95,65% with average computation time was 0,69 second.
Pengembangan Sistem Informasi Lembaga Pengkajian dan Konsultan Bantuan Hukum (LPKBH) Menggunakan Zachman Framework (Studi Pada LPKBH Al-Baihaqy) Irfan Asnawi; Yusi Tyroni Mursityo; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Institute of Assessment and Legal Aid Consultant (IALAC) Al-Baihaqy is one of the legal aid agencies in Indonesia located in Surabaya Based on the results of the interview, there are some problems that are being faced by LPKBH Al-Baihaqy, such as the difficulty in finding clients when many people who have problems in law and client does not make a payment at the time of consultation. From these problems, it is necessary to analyze the current business processes and designing an application that can help IALAC Al-Baihaqy in finding clients and solve problems the client does not pay when consulted. In this research, business process analysis using Bussiness Proccess Improvement (BPI) method and designing application using zachman framework. Zachman framework is a logical structure to clarify and organize significant Enterprise descriptive representations of Enterprise management and Enterprise system development, manual systems and automated systems. This research results are modeling of current business processes and proposals, system design based on analysis using zachman framework, and system prototypes. In addition, a business process simulation using Bizagi Modeler is performed. The simulation is done up to level two, ie process validation and time analysis. System prototype testing uses black-box testing and white-box testing.
Sistem Pakar Diagnosis Penyakit Schizophrenia Menggunakan Metode Bayesian Network Rima Diah Wardhani; Rekyan Regasari Mardi Putri; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Schizophrenia is a severe mental disorder that contains thoughts, language, perceptions, and self-awareness. There are several types of schizophrenia. The relationship between the type of schizophrenia and its symptoms has uncertainty, where a symptom A is not necessarily only result in schizophrenia type X, but can lead to schizophrenia type Y. In rural areas, mental health facilities are still inadequate, so that the people there treat patients with schizophrenia with unnatural as at the brackets even in stocks. Actually, people with schizophrenia can be handled with the provision of drugs and psychological therapy with regular. Based on these problems, the authors create expert systems that are able to find solutions as do an expert in diagnosing and providing treatment solutions in patients with schizophrenia. Thus, general practitioners in small community clinics or hospitals in small areas can diagnose patients suffering from the schizophrenia. This expert system uses Bayesian Network method, PHP programming language and MySQL database. Experimental functional test results show all functional requirements can run well. In addition, the highest accuracy test results in testing the variation of training data is 92.86%. With the results of such accuracy, this expert system has a good performance to make the diagnosis of schizophrenia disease
Implementasi Sumber Daya Penyimpanan Dinamis Pada Cloud Lulus Bagos Hermawan; Sabriansyah Rizqika Akbar; Primantara Hari Trisnawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Along with the development of the era of human needs and dependence on computers increasingly large pekembangan modern technology world. Use of your own computer from various fields to solve computing problems from small to large scale. Can not be denied by the development of applications in the computer world requires a larger resource, so less efficient if only done with a physical machine only. Various ways are done to overcome this problem one of them with virtualization. In this research, the implementation of dynamic storage resource management in the cloud. Virtulasisation used in this research by using virtual box. Dynamic storage used in this research by implementing Logical Volume Management feature. The results of this study obtained a system that can make the addition of storage capacity dynamically and automatically without any downtime and rebooting on the system

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