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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 6,972 Documents
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Rancang Bangun Sistem Klasifikasi Rasa Permen Karet Berdasarkan Warna Dengan Metode K-Nearest Neighbor (KNN) Wisnu Mahendra; Dahnial Syauqy; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Gum candy is a pretty much food forth by the Indonesian society because rawish gum can increase concentration and can also remove stress. Many types of taste contained in gum is and every person have a kind of favorite taste in different gum. In one container of rubber candy that has been issued by the factory or which is contained in the store has been mixed with various sense of gum. And make people hard to choose the type of sense of rubber gum according to the preferred. Therefore, the design prototype of the taste classification process in gum candy using K-Nearest Neighbor method. In this study using TCS3200 color sensor connected with arduino nano microcontroller. This sensor will later read every color on gum. The method used in this study is K-Narest Neighbor for calculation of classification on gum. From the test results that have been made there is a percentage of error of the TCS3200 color sensor reading of 0.23%. The result of testing on the casification of the rawish casification class by using the K-Narest Neighbor method with 10 times tested obtained 90% accuracy and average computing time of 3.1494 seconds.
Klasifikasi Siswa Slow Learner dan Non Slow Learner Menggunakan Algoritma Naive Bayes (Studi Kasus: Sekolah Menengah Atas Tunas Luhur) Abdul Harris Wicaksono; Ahmad Afif Supianto; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Education is one of the important aspects for everyone who can be a provision in changing the attitudes and behaviors of individuals and groups in an effort to be aware through teaching and training. Children get intellectual education in school and in tutoring institutions. Children are required to understand the material about natural sciences or social sciences. but not all can capture material with the same ability because the level of intelligence and learning ability of each child is different. there are students whose learning ability is low so slow in understanding the material. These slow learners need special treatment in order to understand the material like other students. To predict these students, it is done by classifying slow learner students and non slow learners by using naive bayes algorithm using cross validation test method of 10 folds. The data used in this study amounted to 89 data obtained from questionnaires filled out by students in grades XI and XII of SMA Tunas Luhur. The test results using cross validation with 10 folds obtained an accuracy value of 0.92857, precision of 0.94736, recall of 0.97297, and F-measure of 0.96. After that, a dashboard was created for visualization, which resulted in a 7-page user interface with test results using a System Usability Scale questionnaire that resulted in a score of 71.75 or acceptable.
Sistem Rute Terpendek Pencarian Buku Di Perpustakaan Menggunakan Algoritme Dijkstra Muh. Syifau Mubarok; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The library is considered as a convenient place to read, because the library provides a collection of books and other publications services that are provided to the general public or certain groups. Lots of information can be obtained from the library includes scientific, recreational, religious and entertainment that are human needs. However, according to a survey conducted by UNESCO in 2015 stated that the reading interest of Indonesian society is very low. The lack of interest in reading the community can be affected by several factors such as, the minimal number of libraries and the lack of decent facilities in the library. For example, the more extensive a library, the more variations of book categories and certainly directly proportional to the large number of shelves arranged. Doing a random search manually is the way that most often done, so it will wasting time, especially if the library visitors are visiting the library for the first time and don't know the location of the shelves and the arrangement of the book placement. With the research located on the white label room of the central library of Brawijaya University, the writer made an Arduino-based system which was planted in a book basket, which in the system contained a list of book categories in the library as well as the shelf location where the books were stored. The visitors only need to select the category of books that they want to borrow then the system will process it. The resulting output is the shortest bookshelf route through the LCD on the system by first mapping the existing bookshelves in the library by calculating the shortest distance of the book sought on the nearest shelves from the starting point. With the research located on the white label room of the central library of Universitas Brawijaya, the results from 10 random route search samples the system succeeded in determining the right route with an accuracy value of 100%. It is proven that the system works well besides of that the kind system is an embedded system that is installed in a book basket, so it will make it easier for the visitors if they want to borrow a lot of books in large quantities. On another test was done by testing the execution time required by the system to find the shortest route, the results of 10 tests using random samples only require a very short time with an average of 4.2 milliseconds.
Evaluasi Layanan Data Center di Dinas Komunikasi dan Informatika Kota Batu dengan Menggunakan ITIL V.3 Framework Sub Domain Common Service Operation dan Organizing Service Operation Dian Herbayu; Yusi Tyroni Mursityo; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Batu City Informatics Communication Office is one of the government agencies responsible for the implementation of E-Government-based public services and information management. DISKOMINFO Kota Batu provides services in the form of data centers. The form of data center services to Batu City agencies includes requests for website subdomains. Operational problems that are experienced include the absence of routine and scheduled data backups. The common focus is management's commitment to improve service quality. To find out the form of service management carried out by the Ministry of Communication and Information, it is necessary to evaluate the maturity level of data center services. The current condition of the data center does not meet standards and the management therein is not carried out regularly. Maturity level evaluation using the ITIL Framework with the Service operation domain. This evaluation produces recommendations for data center service management. During the evaluation process, valid data were collected by means of document studies, interviews, and questionnaires to obtain a maturity level analysis of the Service operation domain in the Common Service operation Activities sub domain of 2.1 (repeatable). and the organizing service operation of 1.9 (initial). This analysis shows that there are still many data center service management processes that have not been implemented as well as service management functions. The existence of recommendations from this evaluation will assist the Ministry of Communication and Information in improving the management of standardized data center services.
Pengembangan Sistem Deteksi God Class dan Brain Class Code Smell Kevin Azwega; Adam Hendra Brata; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Code smell is defect code in object-oriented programming it can cause a problem in the maintenance software system. Defect code cause class that tends to centralize the intelligence of the software system it means god class and brain class code smells. God class occurs because of functional complexity in class high, cohesion class high, and to many use data from the other class. Brain class occurs because it has a brain method in a software system. Detection code smell can be done manually, but it has a long time if detection hundreds code in a software system. That be required tool for detection god class and brain class code smells automatically. to reduce programmer effort in overcoming god class and brain class code smells problem. This system uses software metrics to measure classification god class and brain class. This system has been tested by unit test it used whitebox method, integration testing used bottom up integration method and validation testing used blackbox method. This system can be operated detection god class and brain class code smell less than one second and have detection accuracy one hundred percent.
Pengembangan Sistem Manajemen Bimbingan Skripsi (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya) Muhammad Kevin Andhiya Rizky; Achmad Arwan; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At the University level, undergraduate students are required to prepare a final project or thesis as a condition for obtaining a bachelor's degree. Thesis is a term used by universities throughout Indonesia which describes a scientific paper which includes an explanation of the research results conducted by undergraduate students (S1) to study a phenomenon or problem that exists in the relevant field of science using the rules applies to related agencies. In the thesis activity at the Faculty of Computer Science, Brawijaya University, students are guided by two mentors. In thesis guidance activities that involve several actors and agendas, it causes the thesis guidance activities to be managed properly. To realize this, an application is needed that can support the thesis guidance management process. This web-based application development aims to facilitate thesis guidance activities. This application that can be used by students and supervisors has main features such as lecturer submissions, thesis guidance scheduling, and guidance logbooks that can make thesis activities more structured and organized. This web-based application has gone through the unit testing phase, integration testing and validation testing. The results of these tests produce a valid value of 100%.
Evaluasi dan Perbaikan Antarmuka Pengguna Situs Web Otoritas Kompeten Badan Karantina Ikan, Pengendalian Mutu dan Keamanan Hasil Perikanan (BKIPM) dengan menggunakan Metode Goal-Directed Design (GDD) Nabila Rahmah; Retno Indah Rokhmawati; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Fish Quarantine, Quality Control and Safety of Fishery Products has a website called the Competent Authority which needs improvement in terms of incorrect interface appearance and information layout. This study aims to produce a new website user interface improvement design using the five phases contained in the Goal-Directed Design method. In the research phase, an initial evaluation of website users was carried out by interviewing and filling in a Post-Study-System Usability Questionnaire (PSSUQ) to get input on improvements to be made. In the modeling phase, produce personas, user journey retrospectives and prospects to get an overview of users and interactions of the system. The requirements phase produces the scenario context and the functional requirements of the system. In the framework phase, produce a user interface framework based on input and functional requirements. The refinement phase produces a high-fidelity prototype and final evaluation using usability testing. After each phase has been completed, a design comparison will be made before and after the repair is made. The final results of this study get good input from users because overall users find it easy to use this website and can meet their needs. The website gets a score of 1.95 on the overall scale of the PSSUQ questionnaire which means that usability in the repair design is high and users are satisfied.
Klasifikasi Jenis Kelamin Berdasarkan Suara Menggunakan Metode Learning Vector Quantization Allysa Apsarini Shafhah; Putra Pandu Adikara; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Human voices vary from person to person. Men usually have larger vocal folds than women so their voice tend to be lower. Today virtual assistant and voice-based chatbot are still unable to differentiate gender based on human voice whereas if the user's gender could be known we can use it to understand behaviours of a particular gender. Learning Vector Quantization (LVQ) version 1 is used in this research as a method to classify human voices with two classes which are male and female. Sound characteristics that used as features in this research are energy, zero crossing rate, entropy of energy, spectral centroid, spectral spread, spectral entropy, spectral flux, and spectral rolloff. Highest result are at 75,5% when using 10 as maximum epoch, 0.1 as learning rate, and Normalized Cross Correlation as similarity measurement. Accuracy when using Normalized Cross Correlation to measure similarity is at 75,5% thus making it higher compared to Euclidean distance and Manhattan distance which only get 74,4% accuracy both. This research also tested using K-fold Cross Validation with 5 folds and highest accuracy obtained when testing fourth fold at 75,6%. Therefore, this research also used Recursive Feature Elimination to determine impacts of sound features on accuracy resulting best feature is spectral entropy whilst worst features are zero crossing rate, spectral rolloff, and spectral centroid.
Evaluasi Usability Menggunakan Metode System Usability Scale (SUS) Dan Discovery Prototyping Pada Aplikasi PLN Mobile (Studi Kasus Pt. PLN) Ekklesioga Kaban; Komang Candra Brata; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

High or low usability level of an application is tested by usability testing. Usability testing is used to test the level of usability of the system. This researcher uses the System Usability Scale (SUS) Method to answer research questions about user satisfaction. SUS was chosen because in this method the testing is done by involving the end user, where testing with this method is more emphasis on the point of view of the end user so the test results will be more in accordance with what is faced by the user. The number of complaints from PLN Mobile users is the main reason for testing the usability section of this application. The usability test results on PLN Mobile is 22.77% where the user is still not satisfied with PLN Mobile so the assessment given is not good. Improvement with the discovery prototyping method will collect improvement suggestions from users with a direct interview that will be made into a prototype improvement reference which will then be tested again. Suggestions for improvements obtained from respondents such as adding settings that can change the user's personal language and personal data stored in the application, improving the layout of features, placing the most important options and grouping menus in icons that are easy to understand on the main page. The usability testing result on prototype is 85.26%. Comparison of test results has increased by 62.49%.
Implementasi Metode Modified K-Nearest Neighbor (MK-NN) untuk Diagnosis Penyakit Tanaman Kentang Muhammad Regian Siregar; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Modified K-Nearest Neighbor (MK-NN) has been widely used to classify various types of objects. In carrying out the classification, MK-NN calculates the distance k closest neighbors in the training data. The difference between K-Nearest Neighbor (K-NN) and M-KNN is found in the process of calculating the validity of all training data and weight voting. The MK-NN algorithm calculation stage is calculating the distance between training data, calculating the value of the training data validity, calculating the distance between the training data and test data, and calculating weight voting. The biggest weight voting results taken are the number of K used. From the weighted voting results, the class of the largest weight voting value is the disease class from the test data. Potato plant data (Solanum tuberosum L) were used as many as 115 training data and test data with 7 types of diseases and 23 disease symptoms. The accuracy of this system depends on the k value and the total training data used. Big value of K make small the accuracy because the validity value obtained is smaller. The more training data used, the higher the accuracy because the difference between Euclidian grades between classes is greater. The best system accuracy is obtained from the value of k = 4 and total training data of 45 is 97.142857%.

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