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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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Kakas Bantu Perhitungan Nilai Reusability Berdasarkan Rancangan Perangkat Lunak Rosita Budianti; Fajar Pradana; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Reusability is one of the software quality that means the ability to reuse software components on other problems to reduce time, cost, and human resources. Reusability can be measured at the design phase so the software design can be improved as early as possible before it is implemented. This research is intended to develop a tool for measuring reusability of software design automatically. Measurement of reusability is done by multiple regression techniques using object oriented design property metrics, namely coupling, encapsulation, and inheritance based on the Quality Model for Object-Oriented Design (QMOOD) metric, because the correlation between reusability and property has been validated and results in high acceptance values of 95%. Reusability is calculated from the input class xml diagram. From the results of development, all defined requirements have been tested and produce valid. In addition, for efficiency requirements, the system has efficiency that is 100% can do calculations and time is faster than manual calculations for both simple and complex test filed. So the system can be useful to help calculate reusability more efficiently than manual counting.
Analisis Kinerja Routing Multi-Copy dengan Manajemen Buffer Shortest Life First (SHLI), Packet Priority dan Stationary Relay Node Pada Delay Tolerant Network (DTN) Desman Desman; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The exchange of information via the internet is becoming the most effective medium today. Information connection via the internet Relating to an adequate internet connection. Some places that do not yet have adequate connectivity to the Kerinci mountain climbing route, make the transfer of information difficult because of high losses and large delays. Delay Tolerant Network (DTN) is a technology used on networks that are not always available. Using this type of multi-copy routing on DTN has advantages that can increase the delivery ratio and reduce the acquisition of this routing will require greater network resources. The buffer management policy can be used to optimize the use of limited buffers. Stationary Relay Node and Packet Priority can be used to increase the probability of sending messages. This research analyzes the performance of Multi-Copy routing with Shortest Life First buffer management, Packet Priority, and Stationary Relay Node supported using ONE simulator. Overhead Ratio, Delivery Probability and Average Latency in Spray and Wait, Epidemic and ProPHET routing. The results show the Spray and Wait for a route to get the best from the other route with an Overhead Ratio value of 5.0081, Delivery Probability of 0.9508 and an Average Latency of 1808.5116.
Deteksi Pergerakan dan Kedipan Mata, pada Pemilihan Menu Display menggunakan Centroid Analysis berdasarkan Metode Face Landmark Sri Mayena; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Detection is a process of identifying objects or activities that are usually done by humans, in order to facilitate the process of introduction and initialization in initiating all activities. In this section, the detection of eyes movement and eyes blink, used to be able to identify that, a system can be run by only eyes orders only, without the need for direct interaction, requiring that both humans and computers be in touch, Using the face landmark method, ascertained the eye area to produce high accuracy, in the test resulted in an accuracy rate of 93,33% success, in detecting eye features using face landmark, based on distance The nearest 20 cm closest, the research also shows rapid computing results in one-time detection of eyes features and the direction of the eyes movement takes only 0.170 seconds within 20 cm and 0.380 within 40 cm, with the help of digital image processing, the feature of the eyes will be easily processed by the computer and do the menu selection, which is meant to be a menu of the options of activities that can be used as one of the needed or orders of the user, with only activations Using a blink of an eye for 3-10 seconds, and a menu of 70x70 pixels, will be activated, and can be utilized by the nurse in understanding the activity that the user wants to do, especially the stroke sufferer, who can still use the eyes features As input that can be used to access the system.
Klasifikasi Gender berbasis Wajah menggunakan Metode Local Binary Pattern dan Random KNN Ruri Armandhani; Randy Cahya Wihandika; Muh. Arif Rahman
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

Automatic gender classification based on facial image is one of the interesting research topics in the world of computer vision. The automatic gender classification system has an important role in developing applications such as surveillance system and monitoring system. However, computers find it difficult to find a special characteristics that can distinguish someone's gender so that a feature extraction is needed. In addition, the selection of classification method is also important to get a better accuracy. The initial stage in this research is to do face detection. After that, pre-processing is done to get the face image only and the size of the image is normalized to 100x100 pixels. Then, the feature extraction process with Local Binary Pattern (LBP) method is done on the pre-processing image. Then, the texture image produced by LBP is divided into several small parts called region. The 32-bin histogram is extracted from each region. All of the histograms from each region are concatenated into a single vector which become the histogram feature used to classify gender. The classification was performed by Random KNN method. Based on the results of testing in this research, the best features produced from the LBP feature extraction which has 7x6 regions. The highest average accuracy produced by Random KNN is 72.5%. The optimal parameter value used for Random KNN in this research is k = 11 and r = 29.
Analisis dan Perancangan Sistem Administrasi Pembayaran Siswa dengan Metode Human Centered Design (Studi Kasus: SMA Negeri 1 Sukodadi) Alif Hilyatun Nisak; Satrio Hadi Wijoyo; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Student of SMA Negeri 1 Sukodadi increased every year. So, the needs of administration services about students payment increased too. This school already has a payment administration system. When the system is ready to use, East Java provincial government changed the regulation of Sumbangan Pembinaan Pendidikan (SPP) payment. Consequently, the system is unused because it does not match with the current user needs. The problem in the payment of participation are the management of administration still manual, the limitations of HR Manager of payment administration, and the process of income payment calculation is not time efficiency. Human Centered Design (HCD) is used method. The stages in HCD are context analysis and user needs by interview method. Results of this analysis are two users as respondents and user wants a new design that complies with rules to make it easier to manage payments and report generation. Design interfaces and solution designs generated wireframes and prototypes. Evaluation of prototypes using usability testing with effectiveness, efficiency, and satisfaction aspects. This evaluation is done by testing task scenario to determine the effectiveness and efficiency aspects. The satisfaction aspect is determined by the interview method to the user. The result of prototype evaluation on effectiveness aspect is79,24%, while the efficiency aspect are respondent 1 is 90% and respondent 2 is 100%, and than the satisfaction aspect is 4 issues.
Pengembangan Aplikasi Monitoring Kesehatan Ibu Hamil dan Anak Terintegrasi Ardia Regita Pramesti; Denny Sagita Rusdianto; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Parents awareness in giving active immunizations to children in fact is still quite low. Based on data from Ministry of Health, it shows that in 2014 to 2016 there were about 1.7 million children in Indonesia who have not been immunized yet or their status of immunization is still incomplete. Based on the problems above, this document will be discus about the development of system that could provide a notification feature of immunization schedule and also could provide a monitoring feature both on the pregnancy growth and the child growth. The development of this system in total has 46 functional recruitments and 1 non-functional recruitment. System on admin side developed using waterfall life cycle and implemented using CodeIgniter framework with PHP programming language and MySQL as the database. While system on user side who are the expectant mother and the mother of the child that registered under puskesmas implemented using Android. The test result carried out by black box testing and white box testing show that all functional system can run properly, which is valid in all test cases. Whilst the compatibility test show that system can run on 7 different platform.
Optimasi Collision Detection Pada 2D Spaceship Game Menggunakan Metode Quadtree Andhi Indra Lestya Wicaksono; Eriq Muhammad Adams Jonemaro; Muhammad Aminul Akbar
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

2D Spaceship Game is a classic game since Gameboy's came out, but even it's an old type of game, many people still play it until now. This game gives you objective to survive an attack against obstacle or NPC. this genre needs a collision detection, an algorithm that allows you to detect collision between 2 collidable objects, the method uses quadtree, a method that allows certain area divided by itself in order to focusing collision detection, this method works if there is 2 collidable objects in the same place at the same time. So if there's no object or just 1 object in certain area, the collision detection algorithm won't work, this method is more optimal than just use the collision detection and implement it straight to the game (bruteforce) because the collision detection it's not focused in certain area and the algorithm will detect in all areas. That means the quadtree use less resource and the frame per second will increase, After being tested for couple times, the Quadtree Algorithm able to bust the FPS up, the average FPS for Bruteforce is 70.06 FPS, and the average FPS for Quadtree Collision Detection is 268.1 FPS
Estimasi Volume dan Berat Buah Belimbing menggunakan Metode Cakram dan Regresi Linear berbasis Kamera pada Raspberry Pi Muhammad Rifqi Radifan Masruri; Hurriyatul Fitriyah; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Evaluating starfruit by looking at its size can be done using a conventional method. This method requires a lot of human resources and time. To speed up the process, digital image processing technology is used. Starfruit is a fruit that is very popular in Indonesia. Sweet and sour taste in starfruit is very suitable to be made into salad. Starfruit becomes a challenge because it has five sections and does not resemble a solid. There is a modified method for adjusting starfruit characteristics. This study uses volume and weight parameters in evaluating. Digital images are taken using a camera connected to the Raspberry Pi. The image obtained is processed for segmentation. Information from the results of segmentation will be used in a modified cylindrical method to produce a volume. Volume will be used in the linear regression method to produce weight. The accuracy of the volume method obtained was 86.64% and the accuracy of the weight method was 86.43% with an average execution time of 3.45 seconds. This solution can be an example of the image processing technology development.
Pencarian Resep Kue Tradisional berdasarkan Jumlah Likes dan Retweet menggunakan Metode Generalized Vector Space Model Berlian Bidari Ratna Sari B; Yuita Arum Sari; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Traditional cakes is one diversity form of indonesia. Traditional baking requires a prescription as the basis of material needed to process. Housewives today don't know recipe and how to make traditional cakes who is now drowning by things junk food so they feel lazy to make traditional cakes. Based on the problems that have been described , carried out a search to be the recipe for food in the form of traditional cakes. To get that recipe desirable, the method of Generalized Vector Space Model is needed to determine relevance that recipe desirable. That recipe is in the training having the number of likes and retweet supporting selection a document relevant. Documents recipe used 100 data recipe with 10 types of tradisional cakes. After testing 25 documents, the best Mean Average Preecision was 0.583 using the Generalized Vector Space Model method with weighted likes and retweets. This proves that the search results approach the query entered by the user.
Pengembangan Aplikasi Web Tracer Study Fakultas Ilmu Komputer Universitas Brawijaya Menggunakan Metode Prototipe Alfa Yolanda Putri Yulianti; Adam Hendra Brata; Herman Tolle
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

Tracer study is a study to track the trace of graduates after two years since graduation with the aim of knowing the output of education in the form of transition from the world of higher education to the corporate world, the latest work situation, conformity and application of competence in the corporate world. At the Faculty of Computer Science, tracer study is carried out manually and data collection carried out using offline methods, which causes alumni outreach is not extensive and limited. This problem was felt by the student affairs department of the Faculty of Computer Science during the accreditation process in which the data from the tracer study was used as a complete assessment requirement. From these problems, the development of a web application tracer study is carried out to solve the perceived problem. Tracer study application is develop using the prototype method. The tracer study system was developed using PHP and web-based programming languages. Tracer study has 3 system sides, alumni side, company side and admin side. Unit testing is carried out using white box testing for 3 functions that produce average cyclomatic complexity value of 4, which means the system has a good level of complexity. Validation testing is done using black box testing for 37 test cases with 100% results, which means the system has meet all the functionality. Compatibility testing using Sortsite as a help tool with an outcome value of 100% compatible.

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