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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 201 Documents
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Search results for , issue "Vol 2 No 12 (2018): Desember 2018" : 201 Documents clear
Pengembangan Aplikasi Manajemen Event Berbasis Web (Studi Kasus: Fakultas Ilmu Administrasi Universitas Brawijaya Malang) Hendro Febrian Bachri; Bayu Priyambadha; Denny Sagita Rusdianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Events can be defined as activities that are held to celebrate the important things throughout human life both individually and in groups (Noor, 2013). Faculty of Administrative Sciences, University of Brawijaya (FIA UB) is really active in organizing events such as seminars, workshops and competitions. There is an event proposal submission procedure for holding an event in FIA UB. The event proposal submission procedure is different and it depends on who is the event organizer, what resources are required and the where the event will be held. There are some problems that arise in the process of event proposal submission in FIA UB. From the event organizers perspective, they don't know the status of the submission of the event proposals that they have submitted, they also don't know the status of the venue's availability and many of event organizer do not know the flow of the event submission. From perspective of the General and Equipment Subdivision, the checking of venue's availability and recording of venue's reservation that are still performed manually in files is less efficient and time-consuming. So, the author have a solution to make an application called Event Management application. This Event Management application will be implemented using Node.js, Express.js framework and SemanticUI. The testing conducted using unit, validation and browser compatibility testing methods. In unit testing, all of independent paths tested and all of them are valid. The validation testing also shows result 100% valid. While browser compatibility testing shows that this application can be run without missing functionality in Microsoft Edge, Safari, Google Chrome, Firefox and Opera.
Evaluasi dan Rekomendasi Tampilan Website E-Complaint Universitas Brawijaya Pada Perangkat Bergerak Menggunakan Metode Heuristic Evaluation Wahyu Satriyo Wibowo; Hanifah Muslimah Az-Zahra; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Usability issues of Brawijaya University's E-Complaint website, particularly any of those issues faced by mobile device users due to less responsive display, receive considerable attention because they affect user's perspective on the website. Thus, a usability evaluation was done by applying heuristic evaluation method to fix the issue faced by the users. These experts relied on provided 13 heuristic mobile checklists to conduct the evaluation. Usability assessment was also conducted on the user's side by utilizing System Usability Scale (SUS) and it was complemented with interview with 8 respondents who were categorized into 2 groups: Brawijaya's scholars and general public. The heuristic evaluation highlighted 66 issues in total which were then summarized into 27 issues including issues found during interview with the respondents. Those results were then used for revision. UB's E-Complaint website display improvement was based on the collected guidelines, expert solutions, and user feedback. This improvement lowered the number of issues found by the experts, from 66 into 29 issues with average severity rating of 1,80 (it was previously 2,84). User satisfaction was also improved from SUS score of 44.38 into 72.5 and was supported by positive responses received from the interviews. SUS score indicated that there were some improvements in adjective rating from “OK” to “Good”, in grade scale from “F” to “C”, and in acceptability from “not acceptable” into “acceptable”.
Sistem Pendeteksi Jenis Buah Mangga Menggunakan Metode Template Matching Agung Bachtiar Sukmaarta; Dahnial Syauqy; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Template Matching Algorithm is a simple method used to recognize patterns in an image. Template Matching Methods are often used to identify letters, numbers, fingerprint and other image matching images. In this research is made a system to detect type of mango fruit. There are 3 types of mangoes that can be detected, namely Manalagi, Arumanis, and Golek. The method used in this application is Template Matching, which is a statistical technique used to find two variables / matrices or more that are quantitative. This algorithm matches each pixel in a digital image matrix of mango from the image that becomes the template reference. The results of the experiments show that the classification of the type of mango fruit with Template Matching method can detect images of tested mangoes. The success rate of mango fruit detection is 70.83% of the test data of 24 images. Performance of Mango Type Detection System with Template Matching Method has average value of average speed of 4.075 seconds from 24 times testing.
Penerapan User Centered Design dalam Pembangunan Aplikasi Informasi Hostel berbasis Android Diah Shinta Dewi; Adam Hendra Brata; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The current technological developments, especially on mobile devices are very helpful to human activities. Travelers have problem of limited access to detail information about the location of hostel. Data from the Department of Culture and Tourism of Malang said, the surge of tourists who data on the city is quite significant. The impact is the growing business of hostels in the city. The cheap price and the complete facilities are the factors that make many travellers choose a hostel as a place to stay. However, there is no special container to accommodate the lodging's complete information. By looking at these conditions, the application of a special hostel information system in Malang was developed. This application is implemented on Android smartphones by using User Centered Design method that refers to the User Experience of potential users. The main purpose of the method is to create a user-friendly information system with a high usability level.Based on three usability testing criteria are effectiveness, efficiency and user satisfaction level. Then the resulting value on usability testing according to effectiveness is 91.7%, according to efficiency is 100%, and according to user satisfaction of 84.5%. From these three results can be calculated average usability rate of 92.06%. So, it can be concluded that this application has a high level of usability and become a user-friendly application.
Evaluasi Perbandingan Ranking Antara Proposed Value dan Perceived Value Terhadap E-Commerce Berdasarkan Model UX Honeycomb Ressya Sukma; Hanifah Muslimah Az-zahra; Mahardeka Tri Ananta
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-commerce or electronic commerce is a process of selling and buying digitally. Its fast development is followed by the high internet usage in Indonesia. Lazada, Tokopedia, dll are ones of existing e-commerce that are most-used in Indonesia. These 5 applications offers 5 values for the users which in fact, still have certain lacks. This research is held with means to analyze value given by these 5 most-used e-commerce applications. To evaluate the values of these e-commerce applications, this research applies UX Honeycomb method which is a tool with 7 value terms which are useful, usable, findable, credible, desirable,accessible, valueable. These values is used to explain the quality of users' experience.The result of comparing proposed value and perceived value of the applications is the needs to increase credibility for Lazada, desirability and usability for Tokopedia, and desirability and usability for Mataharimall. In the other hand, the 7 values of Bukalapak and Zalora have been successfully perceived by the users.
Prediksi Harga Batu Bara Menggunakan Support Vector Regression (SVR) Olivia Bonita; Lailil Muflikhah; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Coal price prediction is needed as support for coal user industrial to buy coal. Prediction result can be used to make next budgeting. This research uses Support Vector Regression (SVR) method to predict coal price. SVR is applied through data normalization, hessian matrix calculation, α searching through sequential learning, and regression function calculation. Kernel for hessian matrix stage can determine accuracy of prediction, so in this research Gaussian RBF kernel and ANOVA kernel are used and analyzed the effects. To obtain predictive results with good accuracy, testing of each parameter is performed and evaluated by mean absolute percentage error (MAPE). The average of MAPE for testing are 9,64% with Gaussian RBF kernel and 8,38% with ANOVA kernel, which are categorized good, on 48 training data for 12 testing data and optimal parameters are ε 0,00001; cLR 0.01; C 0.5; λ 0.5 with Gaussian RBF kernel and 1 with ANOVA kernel. SVR gives the most optimal result when predicting the next month price. The predicted results of the two kernels are not too different, but the ANOVA kernel works better on this coal price data.
Implementasi Cluster Message Broker Sebagai Solusi Skalabilitas Middleware Berbasis Arsitektur Publish-Subscribe pada Internet of Things (IoT) Jessy Ratna Wulandari; Eko Sakti Pramukantoro; Heru Nurwasito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

IoT middleware that used to solve syntactical interoperability, face a limited storage resource due toRedis implementation which used RAM as a data buffer. This problem can be solved by adding a clustermessage broker to distributing data to several Redis. The goal of this research is to develop a clustermessage broker from several Redis that already configured into cluster mode, in order to randomlydistribute data or topic into several Redis. Besides that, Ioredis also added the middleware to integratecluster with the middleware. Testing was done to test the capability of the sensor node as a publisher,cluster message broker in the middleware, and subscriber also to test the distributed data or topic inseveral Redis. The results show that data sent from the publisher can be received by middleware andmiddleware can send data from the publisher to the subscriber. Besides that, data or topic received bymiddleware can be distributed to the several Redis in the cluster.
Pengembangan Sistem Informasi Keuangan (Studi Kasus : KB & TK Permata Iman Malang) Muhammad Rizsky; Satrio Agung Wicaksono; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Play Group & Kindergarten Permata Iman is a private educational institution established in 2005 and located in Malang city. One of the work units of Play Group & Kindergarteen Permata Iman is the financial section operated by the treasurer and monitored directly by the principal in relation to management record of fund, disbursement of funds, recap for each recording fund and make monthly financial report. Problems that occur in the funding process when the principal not present in the school because of some errand, causing the long wait for the fund request to disbursement the fund. For the financial recording process, the treasurer conducts all income recaps and disburses funds based on the notes that have been collected and recorded before by the treasurer. Resulting in considerable time and effort before recapture results before it can be reported to the principal each month. Based on these conditions, a Financial Information System developed by researchman was developed to facilitate the operational activities of financial units. Financial information systems provide funding facilities, recording of funds, and delivery of financial report monthly. Software development method used to develop this information system is using waterfall model. Then to test the results will be blackbox testing with method validation testing, user acceptance testing and compability testing. Validation testing result got valid on all 9 test case, user acceptance testing got 94.6% for all criteria, and compability got 2 critical error, 2 major and 7 minor issues.
Peramalan Harga Pasar Telur Ayam Ras di Kota Malang dengan Menggunakan Metode "Fuzzy Time Series-GA" Eka Miyahil Uyun; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Awareness of Malang City's people to the consumption of animal protein increased as with the increase level of population growth and living standard. Purebred chicken eggs become one of the preferred animal protein foods because of its cheap price. However, the price of purebred chicken eggs in the market is fluctuating, thus affecting the number of egg demand. Therefore, in this research, a system that can project market conditions is made to determine the market price of purebred chicken in thext period.The data used is the average daily data of the price of purebred chicken eggs in Malang from 2012-2017. This research uses Fuzzy Time Series method for forecasting with GA to find optimal interval value of the fuzzy subsets. The fuzzy subsets are represented by chromosomes with real code value encoding, then they are processed by crossovers, mutations and selection. The crossover, mutation and selection techniques used are one-cut-point crossover, uniform mutation and elitism selection. Based on the test results, the optimal parameters obtained are the population size is 40, chromosome length is 25, the combination of crossover and mutation rate are 0,4 and 0,5, and the number of iterations is 500.The results obtained by applying the optimal parameters indicate that the Fuzzy Time Series-GA method works better than the Fuzzy Time Series. The best MAPE obtained using the Fuzzy Time Series-GA method is 1,3347731.
Optimasi Penjadwalan Mesin dan Shift Karyawan Menggunakan Algoritme Genetika (Studi Kasus Pada PT. Petro Jordan Abadi) Sarah Aditya Darmawan; Imam Cholisoddin; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Employee shift scheduling and machine scheduling are two things to keep in mind at a factory. Employee shift scheduling is needed to manage employees' working hours so that the work quality of employees is well maintained and has a positive impact on the company. So it is with machine scheduling. Machine scheduling is needed to regulate the order and process of machine work in goods production activities, in order to shorten production time of goods and increase production of goods. The crossover method used is one-cut point crossover, mutation method used for shift scheduling is reciprocal exchange mutation and insertion mutation for machine scheduling, and selection method used is elitism selection. There are 4 scheduling systems used in this study, testing the value of popsize, testing the value of generation, convergence testing, testing the combination of cr and mr values, and testing of global analysis. In testing the value of popsize obtained the highest popsize is 70 with a fitness value of 0.6198. The generation value test got the highest generation in generation 400 with fitness value 0,5624. As for testing cr and mr get the best value at cr of 1 and mr of 0 with a fitness value of 0.5926. Results obtained from global analysis is the fitness value of the system has a higher yield of 0.5162. It can be concluded that the application of genetic algorithms in the optimization of machine scheduling and shift employees is very influential in the process of obtaining the best solution. The greater the fitness value obtained the better the solution obtained, and vice versa. So that the engine optimization system and employee shift scheduling can be used as a reference for the schedule for the company.

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