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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 6,923 Documents
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Evaluasi User Experience Pada Game Playerunknowns Battleground Mobile Menggunakan Game Experience Questionnaire Iwan Prasetiyo Hakiki; Eriq Muhammad Adams Jonemaro; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Playerunknowns Battleground Mobile is mobile version from game with same name which first realease on PC or Steam platform. Is a popular game today, with a total downloader of more than 100 million people. As time goes by, similar games that became rivals of PUBG Mobile began to emerge. To maintain the popularity, PUBG Mobile an evaluation needs to identify the weakness and advantages of PUBG Mobile from user experience side and weakness that have been identified can be repaired to increase attractiveness. The result of the evaluation can also be used as reference material in developing a game. This time, many evaluation methods that can be used, one of them is Game Experience Questionnaire, an evaluation method that designed to evaluate user experience in game. Based on the evaluation results, PUBG Mobile has disadvantage in competence aspect in non-gamer group and return to reality aspect in non-gamer and gamer group.
Sistem Diagnosis Penyakit Bulai Pada Jagung Menggunakan Metode Fuzzy Tsukamoto Hema Prasetya Antar Nusa; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bulai disease disease that infects of a corn plant and sorghum .Bulai caused by fungi peronosclerospora spp. Bulai disease caused by fungi peronosclerospora spp .Is one of the problems that have frequently afflicted by grower of corn , not only in indonesia but also all over the world. In indonesia bulai disease causing loss of field 50-80 %.Even in south sulawesi, bulai disease can result in loss of the reached 90 %. Climate factors as humidity and air temperature significantly impacted on the development of peronosclerospora spp . Especially on the wetness in over 80 % and temperature 28- 30°C and the existence of dew. But many farmers are still experience crop failure because of the trees did not notice that the trees were infected by bulai or late know if their plants bulai and do not know how to handle bulai .Hence there is a need for the tools to diagnose a disease of plants bulai early. data onBased on the background detailed, in this study author choose a method of fuzzy tsukamoto to build a system in diagnosing disease bulai in corn. uses the fuzzy tsukamoto”. The data used in the application is the data on symptoms of disease of bulai. in cornThe output of application be diagnosis information detected disease bulai in corn or not. The results of the system in the form of output for it easy for users in knowing about of illnesses suffered by the. The fuzzy tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.
Aplikasi Data Mining Menggunakan Algoritme C4.5 untuk Memprediksi Ketepatan Lulus Mahasiswa Berdasarkan Faktor Demografi Diva Devina; Ahmad Afif Supianto; Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Students who graduate not on time are a problem that is still often found in the college academic environment. This was also found in the UB Information Systems study program, wherein 2015-2018 there were 241 students accepted each year on average, while the average student graduated around 130 students. Based on the information, students who graduated and students received were not balanced. So that it can be said that there are still many students who are active and have completed their study period of more than 8 semesters or graduated not on time, this can be detrimental to both students and study programs. Therefore we need a step to help the problem of student graduation accuracy, namely by making predictions using data mining. By utilizing one of the data mining methods namely Decision Tree C4.5, which will later produce a rule in the form of a decision tree. The data used in the data mining process only uses demographic (non-academic) data from students to find out whether the demographics influence the graduation accuracy of students, after that the data is processed using Weka CLI. The results of the algorithm evaluation carried out using the confussion matrix obtained an accuracy rate of 80.4714%. Information about predictions of student graduation accuracy is displayed in the form of a dashboard to make it easier for Kaprodi SI as user. System tested using black-box testing and System Usability Scale (SUS), with the results of valid black-box testing as needed, while the SUS test gets results 67.5.
Pengembangan Sistem Aplikasi Pencarian Dosen Pembimbing Skripsi dengan Teknologi Web Semantik (Studi Kasus : Fakultas Ilmu Komputer Universitas Brawijaya) Eka Devi Prasetiya; Bayu Priyambadha; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The implementation of the thesis at the Faculty of Computer Science, University of Brawijaya (FILKOM UB) experienced several obstacles experienced by students. One of the obstacles is that it is difficult for students to choose prospective thesis supervisors who are suitable with the thesis topic to be examined. One way that can be done is to know the thesis that has been guided by a lecturer. Journal of Information Technology and Computer Science Development (JPTIIK) is a website that provides thesis information from FILKOM UB students. Students can search for theses that are guided by lecturers by searching based on keyword names of lecturers on JPTIIK. But the search results on JPTIIK are often irrelevant, because the data sought is not interconnected. In this study, a thesis supervisor application search system was developed that uses semantic web technology to connect and map data. Data is mapped into ontologies to facilitate searching. The search system is supported by cosine similarity so that search results can be ranked based on the degree of similarity of the thesis. The development method used in this system is the waterfall method. The system is tested using unit tests, validation and compatibility. The results of validation testing conducted in all test cases give a value of 100% valid.
Evaluasi Pengalaman Pengguna pada Aplikasi Go-Jek Driver menggunakan Metode UX Curve Muhammad Anas Ziauddin; Hanifah Muslimah Az-Zahra; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Go-jek is an app created by PT. Karya Anak Bangsa. Go-jek work with drivers all over Indonesia which they called partner. These drivers have their own application. Service improvement in Go-jek Driver application for the past year affected partner in doing their job. Data gathered using 100 curves are divided into 5 point of view including general UX, attractiveness, ease of use, utility, and degree of usage. In total, each point of view contain 20 curves. The curves then compiled to form a graphic which categorized into improving, deteriorating and stable, following the direction of the curve. From the data gathered, it generate 46 improving curve, 32 deteriorating curve and 22 stable curve. Nevertheless, every reason for movement also calculated to measure what are the reason that each respondent has for the change in curve that has been portrayed. The reason contain positive and negative reasons which categorized into 2 perception, pragmatic and hedonic. The result showed that this application has 427 reason in total from every point of view. The relation to the user satisfaction and recommendation concluded by connecting attractiveness point of view and the final result of questionnaire. Moreover, user satisfaction can be seen by looking at how respondent recommend both application to their friends.
Implementasi Kontrol Proportional Sebagai Kontrol Pergerakan Mobile Robot Odometry Dalam Menuju Koordinat Target Mohammad Ali Muhsin; Dahnial Syauqy; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of mobile robots today is very much and one example is mobile robot odometry which can move positions using complex calculations. In this final project research makes a control on the mobile robot to be able to move towards the target target using the odometry method. The control created is proportional control which is used to control the movement of the mobile robot towards the target target. This odometry method is very risky for errors. Proportional controls always require errors in the input data to get the output. The mobile robot prototype is built using various electronic components such as Arduino UNO as the center of data processing on the existing system, rotary encoder sensor to read the input data values, and the L298N motor driver as the PWM controller. Testing of rotary encoder sensors is done twice with the parameters of the forward and reverse rotation test. The results obtained from the rotary encoder sensor test show that the sensor can read the disk encoder hole properly. Testing of the L298N motorbike driver was carried out 2 times and each experiment was carried out 5 times with 100% test results. The test results of the control proportional used obtained the appropriate parameter values ​​for movement control, namely using the KP value = 3.0. After obtaining the appropriate proportional control parameter, the robot will move by calculating odometry towards the target coordinates of X and Y that have been entered through the Arduino IDE monitor series and if the target is in accordance the robot will stop.
Pengembangan Sistem Informasi Perpustakaan menggunakan Metode Extreme Programming (Studi pada: SMK 1 Muhammadiyah Malang) Rizky Edyatna Putra; Satrio Agung Wicaksono; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SMK 1 Muhammadiyah Malang has a school library that provides a collection of books and various magazines to be used as learning media by students and teachers in schools. At present, libraries still use bookkeeping systems to service book lending and book return services. The library officer records all service activities that have been carried out on a striped folio book, so that the officer spends a lot of time doing book lending and returning books, as well as automatic processing of fines. The library officer also records again for making a book loan transaction report and returning the book. So this research is done by developing a library information system that can overcome the problem of time efficiency when borrowing books, returning books, processing fines and making transaction reports. The research method used in this study is the Extreme Programming (XP) method in developing library information systems to be built and using the Unified Modeling Language (UML) modeling language to facilitate the design of the system to be built. Implementation system will use the C-Sharp programming language (C#). Based on the problem analysis carried out using the interview method, it produces 8 (eight) features and 10 (ten) functional requirements. The white-box testing and black-box testing test results are valid, which means the system can run properly according to the desired needs. The test results of User Acceptance Testing (UAT) indicate that the system is 100% acceptable and is suitable for use by users, namely library officers.
Klasifikasi Umur Padi berdasarkan Data Sensor Warna dengan menggunakan Metode K-NN Anggi Diatma Styandi; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 9 (2019): September 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesian country is one of the rice producers. Most of Indonesian people work in agriculture. However, it is unfortunately that Indonesia cannot meet the national rice needs so that supposes Indonesia to import rice from other countries. The cultivating time of farmers in Indonesia is still one of the causes lack of rice quality and quantity that is less than optimal, so that the quality of rice products is still said to be deficient. Rice that is cropped too late has very bad impacts. Therefore, farmers should be smart in choosing the right time to crop rice. Weather factors and large fields make it increasingly difficult for farmers to check the age of their whole rice regularly. Based on these problems, farmers now need a system to help observing the age of rice by seeing on changes in the color of rice plant so that the study entitled "Rice Plant Age Classification Based on TCS3200 Color Sensor Data Using the Knn Method" is proposed. This research utilizes TCS320 Integrated Circuit (IC) Color Sensor, Arduino Integrated Development Enviroenment (IDE) software and LED as an indicator to be arranged into a system. I hope the system that I create will help farmers to improve the quality and quantity of rice yields. So that the Indonesian government does not need to import rice from other countries.After testing several times of test, it is known that this system can detect colors precisely in 20 times the experiment by attaching objects. From the results of the KNN test the highest accuracy was found at K = 5, where the accuracy value obtained was 80%. While the lowest accuracy is at k = 9, where the accuracy value obtained is only 10%
Temu Kembali Citra Makanan Menggunakan Color Histogram Dan Local Binary Pattern Chindy Putri Beauty; Yuita Arum Sari; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technology makes it easier for humans. One of them is the ease of finding food on the internet. However, in general, search engines are available using text queries with image file names, a textual based approach. It is difficult to be done on large-scale imagery. Image search based on visual image content commonly known as image retrieval system based on content or Content Based Image Retrieval (CBIR) can be used as a solution. Food image has different colors and textures. The texture feature extraction method used in this research is Local Binary Pattern (LBP) and for the color feature extraction is Color Histogram. The image used is 444 data, 413 data as data training and 31 data as data testing. Based on feature extraction, similarity can be calculate using Euclidean distance. The result get by calculating Mean Average Precision (MAP). The best MAP obtained when the n value is 2 with MAP 0,919354 which n is the number of document that displayed on result. For the feature comparison testing, the use of color features only provides better results than using the texture feature or both features
Segmentasi Citra Kue Tradisional menggunakan Ruang Warna Hue Saturation Value dan Otsu Thresholding Ani Enggarwati; Yuita Arum Sari; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are some problems regarding food that occur. One of them is nutrition and the quality of food that still needs attention. To find out the nutrients content in food we can use food classification using digital images. Classification requires an initial process called segmentation. In this case, the color space that used is Hue Saturation Value (HSV) and Otsu thresholding. Segmentation in this thesis uses 50 traditional cake images, begins with converting RGB images to HSV images. The Otsu thresholding is performed on each color component. Based on the results of these studies, the Value component of color gives the opposite result, the background is white and the foreground is black. Therefore, invert is applied to it. After thresholding on each color component, accuracy, specificity and sensitivity are obtained. Hue color component has an average accuracy rate of 42.64%, Saturation color component has an average accuracy rate of 94.34%, Value color component has an average accuracy rate of 70.68%. Tests for specificity and sensitivity show that Saturation color component has a higher value than other color components, with values 82.08% and 91.30%. Thus the Saturation color component is best used for segmentation using Otsu Thresholding.

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