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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
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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
Optimasi Komposisi Bahan Makanan bagi Pasien Rawat Jalan Penyakit Jantung dengan Menggunakan Algoritme Particle Swarm Optimization (PSO) I Gusti Ayu Putri Diani; Imam Cholissodin; Suprapto Suprapto
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

Heart is an organ which is very important in the body that pumps blood. Many people can suffered heart disease caused by unhealthy lifestyle. Most of the deaths, according to the report of the World Health Organization (WHO), caused by cardiovascular disease that cause 17.7 million or approximately 45%. For people who suffers with heart disease, take care of food consumption is important in order to be healthy again. This research will be conducted on the giving food ingredients for the patients who suffers cardiovascular disease whose can continue their treatment in their home.Research conducted is optimizing the composition of the food ingredients for cardiovascular disease outpatient by using particle swarm optimization algorithm which the results will be displayed in the program is data such as age, weight, height, along with recommended of food ingredients and minimum price of each food ingredients.This algorithm consists stages of initialize particles, calculating fitness value, define pbest and gbest value, calculating velocity and position of particles. The results from this research, it is found that the optimal parameters are the number of particles are 40 particles, the value of ωmax is 0,75, the value of ωmin is 0,25, the value of C1 is 2, the value of C2 is 2 and the number of maximum iterations are 80 iterations. The results of the program using these parameters resulted in an average difference from actual patients data and the results from the program of 4,67%. Moreover, the result of this research can reduce expenses up to 14,68%.
Aplikasi Berbasis M-KNN untuk Mendukung Keputusan Perekrutan Pemain yang Sesuai dengan Kebutuhan Tim Sepakbola Deny Stevefanus Chandra; Mardji Mardji; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Football is each team or squad trying to control the ball, inserting the ball into the opposing goal as much as possible, and try to break the opponent's attack to protect or keep his goal so as not to concede the ball. From the explanation it can be seen that the purpose of playing football is to score numbers or goals. Each player has a different function that is the attacker or the front player serves as an attacker, therefore a 3 front player is required to be able to score against the opponent's goal. Then the midfielder or midfielder serves as a ball feeder or it could be a midfielder in charge of assisting the attacker to insert the ball into the goal. In addition, there is also a defender or defender who serves to keep the goal defense from attack the opponents. However, in addition to serving as defensive, defender or more often called a defender can also be tasked to assist the attack. Because each player has a function or task of each different, of course it affects the kicks of each player depending on the position they have. MkNN is a development of the k-Nearest Neighbor (kNN) method. MkNN class labels on test data based on the validated training data and weight of each training data, not just based on the nearest distance as done on kNN. MkNN provides a greater opportunity for training data that has high validity, so the classification is not too affected on data that is less stable or have low validity. The result of MkNN calculation done by decision support system is same with result of calculation manually. The accuracy of this decision support system application in determining the player's position gets 90% results.
Analisis Faktor-Faktor yang Memengaruhi Perilaku pengguna Messenger ABC dalam Penerimaan Informasi pada Lembaga XYZ dengan Menggunakan The Unified Theory of Acceptance and Use of Technology (UTAUT) Ami Fajar Hikmah; Ari Kusyanti; Andi Reza Perdanakusuma
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

Internet is one of the information technology that can facilitate user to find information and communicate with other. The most popular service of internet is instant messenger. LINE is the most favourite application for user. LINE messenger is an application that provide free messaging, free call and video call. One of the example of LINE messenger user is Eksekutif Mahasiswa Sistem Informasi of Brawijaya University (EMSI UB). EMSI is an executive institution in the Faculty of Computer Science Brawijaya University. In use of LINE in the EMSI UB have a problem, one of the problem is evidence of important conversations with other user screenshoot by other users and the results of conversations are disseminated to other users as well. This research purpose to determine about relationship between independent variables and dependent variables and knowing about factors that can affect LINE user about receiving information on EMSI UB. This research use The Unified Theory Of Acceptance and Use Of Technology (UTAUT), this model developed by Venkatesh et al. (2003) and all of result questionnaire processed by linear regression analysis. The samples used in this research is 100 user through an online questionnaire. The results of this research show that Effort Expectancy, Social Influence, Trust and Privacy variables have a significan influence on Behavioral Intention. There are two factors that have no significant influence on Behavioral Intention is Performance Expectancy and Faciliting Condition.
Pengembangan Arduino Code Builder Pada Sistem Simulator Smart Home Dengan Rule Terdistribusi Hery Julianto Situmorang; Edita Rosana Widasari; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 8 (2017): Agustus 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, there are numbers of researches on Smart Home that have been done by technicians even though they need a lot of relevant hardware and periods of time to design plan and ways of implementation for the Smart Home. Therefore, this research conducted with focus on developing Smart Home simulator based on desktop application which can improve the time and hardware needed since it enables the Smart Home to be used without utilizing lots of hardware. The system consists of two applications which are (i) Control and Monitoring application and (ii) Object Simulator application. The Control and Monitoring application provides user's information, list of object and information of rule. In this system, the method of distributed rule will be implemented to turn on and turn off the objects while the objects for this present research are PIR sensor and lamps. Rule contains patterns for which lamps that are going to on if the PIR sensor detects the human existence. This system also produces program code for PIR sensor and light nodes that aim to validate the use of distributed rules on hardware. The result of this research shows that simulator object can receive rule from Control and Monitoring application with the success rate of 100% out of 28 times rule transmissions and also can be executed with the success rate of 100% out of 28 times tests. The application can also display the program code according to the rule chosen by the user.
Rancang Bangun Aplikasi Informasi Candi berbasis Teknologi Augmented Reality pada Smartphone Android (Studi Kasus: Candi Ngetos, Nganjuk) Diandra Amiruddin Firmansyah; Herman Tolle; Aryo Pinandito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Temple is one of sacred buildings that used for worship by Hindus and Buddhists in Indonesia. Ngetos Temple is one kind temple which still exist and has suffered serious damage. Need technical handling for Ngetos Temple restoration. However, the refurbishment process also requires archeological technical studies that require considerable time and cost, there is another way restoration to reduce the time constraints of the restoration process by using Augmented Reality (AR) technology. AR is a technology that used in real-world modeling into computer systems to help and support human activities. AR can be implemented with Oriented FAST and Rotated BRIEF (ORB) algorithm. This algorithm is open source. To implement this algorithm, a supporting library is required for implement all functions of the ORB algorithm, in this study using the OpenCV library. For that researchers build temple information application based on AR technology on android smartphone that implement ORB algorithm. The application scans the pattern on the image that has been taken by the camera then displays the 3D object of the temple based on the pattern. The results of 3D objects in the form of a whole temple that can represent the temple that has been restored.
Pengembangan Sistem Informasi Manajemen Reward Pelanggan Berbasis Website pada Pepito Market Cabang Sanur Ni Made Rai Arini Permatasari; Retno Indah Rokhmawati; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pepito Market Sanur Branch is one of the branches of Pepito Group. Pepito Group was established 2001 in Tuban, Jimbaran-Badung, Bali and already has more 20 branches in Bali. Pepito market implements Customer Relationship Management strategy to bind customers giving rewards to customers who have been shopping at Pepito Market by giving points. There are some things that become obstacles for customers and marketing of Pepito. Customers must come directly to the store and meet customer service to check their points. Marketing Pepito prints promotional catalogs in the form of flayers and distributes around the store to provide promotional information every month. This research will develop Information Management System of Customer Based Reward Based on Sanur Market Branch of Pepito Market. Implement operational CRM domain marketing automation and use webservice to combine Reward Management Information System with Pepito Cashier System. The system has several features: checking number of points, exchanging points, viewing catalogs, cataloging, editing catalogs and deleting catalogs. This system was developed using SDLC method using waterfall model. Final stages the system tested using black box method with 88% valid test result, white box with 100% valid test result and utility system for customer with 83% valid test result.
Optimasi Kebutuhan Gizi untuk Balita Menggunakan Hybrid Algoritma Genetika dan Simulated Annealing Fitri Anggarsari; Wayan Firdaus Mahmudy; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The nutritional state of a person is basically influenced by dietary behavior so that the quantity and quality of the food and beverages consumed has an impact on a person health. Balanced nutrition plays an important role in the growth, physical development, and intelligence of all people, including toddlers, children, and adults. Nutrition in toddlers should be considered because at that time they growth and develope so rapid and prone to occur bad things such as infections that can cause chronic illness, obesity and even death. In this research, we implement hybrid genetic algorithm and simulated annealing to know optimize nutrition requirement on food composition for toddlers. There are two segments of the chromosomal representation that is used in this research, the first segment uses the integer number and the second segment uses the real code number. We use extended intermediate crossover method and random mutation method for the reproduction process. The test resulted in the highest average fitness value of 0.10106 with the best parameters are population = 100, generations = 50, combination between Cr and Mr = 0.8 and 0.3, value of alpha = 0.8, value of T0 = 2 and value of Tn = 0.2. The results of this study is recommendations of foodstuffs according to the nutritional needs that approached the actual needs of the toddlers by considering the weight of food and the minimum price in one day.
Analisis Pengaruh Faktor Kepercayaan dan Resiko pada Niat Perilaku Konsumen Dalam Bertransaksi Menggunakan Online Ticket Agent XYZ Nurma Abadi Firjatulloh; Ari Kusyanti; Himawat Aryadita
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-Commerce is a business transaction activity conducted by utilizing the technology of the Internet network or so-called online transactions. Currently the ticket sales industry or travel agent also utilizes online sales transactions. One of the companies in Indonesia that also take advantage of online business transactions that is Online Ticket Agent XYZ. Online Ticket Agent XYZ is one of the e-commerce sites in the field of ticket sales or the largest travel agency in Indonesia. Although online transactions are increasingly in demand, this type of transaction is not always safe and even vulnerable to fraud. There have been some consumer reports of Online Ticket Agent XYZ who feel harmed while transacting using the site, things like this can affect consumer confidence to make transactions using Online Ticket Agent XYZ site. This study proposes a model based on three previous research journals consisting of 16 variables. The analysis method used in this research is Partial Least Square (PLS). The results of this study indicate that consumer confidence (Consumer Trust) and perceived risk of consumer (Perceived Risk) affect the intention of consumers to transact (Intention to Purchase) using Ticket.com site.
Pengembangan Sistem Informasi Kesehatan Berbasis Web Berdasarkan Model Organisasi Dan Manajemen Kesehatan Primer "ANDAL" Tri Wahyu Herlambang; Ismiarta Aknuranda; Mochamad Chandra Saputra
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

The team of Public Health Sciences Faculty of Medicine Universitas Brawijaya (IKESMAS FKUB) initiated a strategic management model on primary health services with integrative, strategic, effective, efficient, quality, affordable and equitable management in the management of primary health care in a region called management model "Reliable". However, the implementation of this management model requires information systems that have certain characteristics that support the management model to make it faster and easier to collect and process data into information that can be utilized by stakeholders to improve primary health care. This study aims to build information systems to demonstrate the ability of the model of management reliably more easily and can be a pilot study to be applied in all primary health services so as to save health claims from participants BPJS Health. The results of this study are the development of web-based health information system through the process of requirements analysis, design, implementation, and testing. Testing conducted using Validation Testing method, Compatibility Testing, Condition Testing, Equivalence Partitioning, Boundary Value Analysis Shows the result that Information System built in this research can run well.
Optimasi Pembagian Tugas Dosen Pengampu Mata Kuliah Dengan Metode Particle Swarm Optimization Muhammad Abduh; Rekyan Regasari Mardi Putri; Lailil Muflikhah
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

In forming a lectures schedule, an absolute thing that had to be done is division of labor teaching duties in accordance with their field in order to create an effective teaching and learning activities. At Faculty of Computer Science (FILKOM) Brawijaya University, the assignment process is still manually designed where it requires some substantial time, therefore it needed a right optimization methods in dealing with this case. This problem can be solved by a population-based heuristic methods, Particle Swarm Optimization (PSO) which has been applied in various fields such as scheduling and assignments. The data used in this study is the data division of lecturers teaching tasks as a priority of lecturer's teaching interests to a course. Through the obtained results, it had tested to find the effect of tested parameters on the resulted fitness values. From PSO parameters test results, it obtained the best particle number as 100, best iteration number as 100, and combination of velocity parameter c1 and c2 as 1.5 and 1.5 with resulted fitness value as 94878. From the results of system, the obtained assignment solution gives good results, which is still within the limits of tolerance with decreasingly obtained error values in putting a lecturer on courses that according to their interests.

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