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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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Klasifikasi Jenis Terumbu Karang Memanfaatkan Ekstraksi Fitur GLCM Circular dan Radial Co-Occurrence Matriks Bagas Laksono; Agus Wahyu Widodo; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di Indonesian Journal of Electrical Engineering and Computer Science
Sistem Rekomendasi Film Menggunakan Content Based Filtering Muhammad Fajriansyah; Putra Pandu Adikara; Agus Wahyu Widodo
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 growth in the number of cinema audiences is increasing in line with the large number of films being produced. Various films with plot stories, genres, and film themes that are similar or different have enlivened the industrial market from overseas to domestic film. Of the many films produced, it makes potential viewers confused and difficult to find and determine what film to watch next so that they spend more time looking for films. Some people use the features provided on some sites to search for movies to decide which movie to watch. Everyone has different tastes and tends to choose to watch movies that are similar to the movies he likes. One way to get the right information about a film is a recommendation system. Each film has some information in the form of different genre films and synopsis films. In this study, to obtain the recommendation results using a content based filtering algorithm by looking for the similarity in weight of the terms in the bag of words result of pre-processing film synopsis and film title. The weighting is carried out using the TF-IDF method which has been normalized. Then the weighting results will go through the cosine similarity stage to look for similarities based on weights and end with filtering based on genre. Based on the results of tests carried out by involving three participants with a total number of films as many as 4000 film titles, the accuracy value is obtained using the mean average precision @K (MAP @ K) is 0.823254 for the single query type and 0.7500556 for the multiple seed query type. From these results, it is found that the single query type produces better recommendations than the multiple seed query type.
Analisis Pengalaman Pengguna Pada Aplikasi Ciayo Comic Menggunakan Diary Study Dan User Experience Questionnaire (UEQ) Resky Ramadhanti; Satrio Hadi Wijoyo; Welly Purnomo
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

Entertainment is one of the ways that people do when they are tired when facing their daily activities, including reading comics. With the rapid development of technology, nowadays we no longer need to go to the bookstore to buy comics because we can enjoy online comic through the applications. CIAYO Comics is one of the apps that provides online comics which currently has more than 100,000 users on Google playstore. Based on preliminary observations made on Google Playstore, ciayo comics received poor reviews regarding to the comics' appearance and comics update delay. This affects the user experience and resulting discomfort and dissatisfaction with the user. A good application must provide a sense of comfort when used by its users so that it needs to be analyzed to find user experiences problems and know how well the user experience levels on the application. The user experience measurement is done using the User Experience Questionnaire. Meanwhile, Diary Study is used for the discovery of the problem as well as to explore the experience and in-depth user response and conceptual. From the research results, the UEQ results showed that the average UEQ scale was normal, where all the UEQ scales were in the range -0.8 to 0.8. For the diary study results, 13 problems were found and 5 aspects of the diary study user experience were analyzed in the CIAYO Comics application.
Pengujian Usability untuk Aplikasi Silsilah Keluarga FamilySearch Tree dengan Pendekatan Kuantitatif Audrey Chyara Luthsa Hannita Dharma; Ismiarta Aknuranda; Retno Indah Rokhmawati
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

The formation of a family in Islam is very upholding the problem of nasab or heredity, to support this it is necessary to have effective management of family tree information. One of the technologies that can support this is the FamilySearch Tree application, which is a genealogy software based on mobile application to create family structures digitally. An evaluation is needed to find out the advantages and disadvantages of application to the needs of Muslims, especially in terms of usability. The usability components tested were effectiveness, efficiency, and satisfaction. This study uses the usability testing method and the filling out of the Single Ease Question (SEQ) and System Usability Scale (SUS) questionnaire. This study is also useful to explore whether this application can meet the needs of Muslims about the text that is obtained from filling out the Close Ended questionnaire. This research is primarily quantitative. Participants in this study are generation Z with an age range of 13-25 years, totaling 30 who are new users of the FamilySearch Tree application and are Muslim. Usability testing is done to determine the effectiveness and efficiency components while filling out the questionnaire to determine the satisfaction component. Evaluation results show the effectiveness (completion rate) component yields 64.45%, which means it is low with the resulting error component being 42,03% which is still considered reasonable. In the efficiency component, the value is 0.030 goals / sec and 67.55%. And the satisfaction component of the SUS questionnaire is 39.1. For the closed ended questionnaire results obtained 57% which means this application has been able to meet the needs of Muslims about nasab. Keywords: usability testing, FamilySearch Tree application, SEQ, SUS, Close Ended Questionnaire
Analisis Tingkat Kesiapan Keamanan Informasi Menggunakan Indeks KAMI (Keamanan Informasi) 4.0 (Studi Kasus : Dinas Komunikasi dan Informatika Provinsi Jawa Timur) Gede Dandy Salodivansa Barani; Widhy Hayuhardhika Nugraha Putra; Bondan Sapta Prakoso
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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The Communication and informatics Agency of East Java is a government agency that organize communication dan informatics, statistics and encryption or security fields. Information security is a key in securing informations, hence The Ministry of Communication dan Informatics issued Information Security Management System related regulation on government agencies in Indonesia Minister of Communication and Informatic regulation number 4 of 2016, hence the Communication and Informatics Agency of East Java Province as the communication and informatics executor need to evaluate and analyze their information security. In this study, evaluation and analysis conducted using KAMI (Keamanan Informasi) Index questionnaires to determine the maturity and completeness level of information secutiry on six areas such as governance, risk management, frameworks, assets management, technology and information security, and supplement. From the evaluation, the maturity level on five areas are between level I to II and the completeness level gets a score of 258. With these score and levels, The Communication and Informatics Agency of East Java determined needs improvements to conduct with ISO27001 sertification. The result of the analysis form basis of recommendations obtained from ISO2700 control, one of the recommendations is information security regulations related to A.5.1.1 control of ISO27001.
Sistem Pendukung Keputusan Diagnosis Penyakit Stroke menggunakan Metode Fuzzy K-Nearest Neighbor (FK-NN) (Studi Kasus Puskesmas Kendal Kerep Kota Malang) Yearra Taufan Ardy Rinaldy; Arief Andy Soebroto; Catur Ari Setianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke constitute disease that can cause death and disablement, but the number of patient is still very high. So that new stroke cases do not continue to grow, needed a way for early detection of stroke risk so that people who have the potential to suffer a stroke can take preventative. However, stroke is a complex disease that shows different symptoms between one patient and another. Moreover, the cause of stroke between one person and another person can also be different so that early detection of possible risk of stroke in a patient should be made with care.Decision support systems built using FK-NN are considered capable of assisting early detection of stroke risk quickly, thoroughly, and objectively.support system built with FK-NN will observe to stroke risk factors and calculate using framingham risk score, the method commonly used by doctors to calculate the risk of cardio vascular disease.The system then classifies data using the FK-NN method in the class of low risk stroke, moderate risk stroke, and high risk stroke. The results of this study indicate that the FK-NN is able to properly assist early detection of stroke risk, which resulting in an accuracy of 61.1% when K is 4 and the percentage of training data is 50% of the entire data set.
Klasifikasi Penyakit Diabetes menggunakan Metode Support Vector Machine Abu Wildan Mucholladin; Fitra Abdurrachman Bachtiar; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diabetes mellitus (DM) is a chronic disease associated with high levels of sugar or glucose in the blood. Diabetes is caused by one of two causes, autoimmune reactions (the body's defense system attacks insulin-producing cells) or insulin resistance (the body does not fully respond to insulin). The purpose of this research is to create a machine learning model that can detect diabetes early. There are many ways to diagnose diabetes, one of the methods is using machine learning. Support Vector Machine (SVM) is a machine learning method that is known to be quite effective for classification cases. The dataset is cleaned and normalized before so it can be ready to input in the SVM model. The SVM model is processed and tested in order to find the best model for making a diagnosis. The output of the SVM model will diagnose patients who suffer diabetes or not. The SVM model is divided into two types, the benchmark model which is implemented using the Sequential Minimal Optimization (SMO) algorithm and the scratch model which is implemented using the Sequential Learning algorithm. Each model is optimized using the Grid Search algorithm so that it can find optimal hyperparameters that can be used by the model. The optimal model is retested on several metrics using 10-fold cross validation. The test results show that the benchmark model has 0,87 mean accuracy, 0,82 mean precision, 0,78 mean sensitivity, and 0,92 mean specificity. The scratch model has 0,78 mean accuracy, 0,69 mean precision, 0,59 mean sensitivity, dan 0,87 mean specificity. The experimental results show that the Support Vector Machine method has the potential to be used as an early detection tool for diabetes.
Deteksi Serangan Wormhole pada Protokol Routing DSDV menggunakan Metode RTT-TC pada Jaringan Mobile Ad Hoc Network (MANET) Rizal Fahturrizqi; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 13 (2020): Publikasi Khusus Tahun 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Artikel dipublikasikan di ICCAIS 2021
Rancang Bangun Sistem Informasi Manajemen Event Berbasis Mobile Aditya Teguh Pratama; Nurudin Santoso
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

Organizing events is one of the activities affected by the pandemic. The compulsory social distancing makes coordination between committee events difficult because it must be done boldly, therefore the role of technology is needed by creating an event management information system. The purpose of studying this research is to implement the design results of the Management Information System to simplify and assist in management. The method used is the Waterfall method with the JavaScript programming language and the React Native framework. This system was developed using MongoDB which is useful for providing database services, then used with the system using GraphQL. Furthermore, testing is carried out using the white box and black box methods with the results of the system testing being declared to have passed the test. This application is expected to be able to feed all event organizers in terms of event management including committees, committees, and assignments.
Simulasi Kendali Altitude Quadcopter Parrot Mambo menggunakan Linearisasi Fungsi Alih dan PID Tan Varian Kashira; Eko Setiawan; Mochammad Hannats Hanafi Ichsan
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

Unmanned Aerial Vehicle is one type of drone that has developed rapidly. UAV has a lot of potential that can be explored, both for personal needs such as a toys to professional needs such as military aid. As electronics and computer science develop, in-depth research on quadcopters is carried out. One of the studies that continues being developed is control system. Quadcopters needs control system in order to maneuver according to the purpose. The control system in a quadcopter includes many things, such as attitude and altitude control systems. This research is a simulation of the Parrot Mambo altitude control system using linearized transfer function and PID (Proportional Integral Derivative) by simplifying the Parrot Mambo block model in order to apply the PID tuning results into the Parrot Mambo nonlinear system. According to the results of the simulation, the application of the transfer function and PID in 5 levels of height test reduced overshoot to 0%, increased rise time to 4.216 seconds, and increased settling time to 3,468 seconds. Testing with 5 different masses with transfer and PID functions, was able to reduce overshoot to 0%, increase in rise time by 4.001 seconds, and increase in settling time by 4.216 seconds. In testing the response of the original blocks and simplified blocks, the results were identical results and did not affect the basic function of the system itself. This can be seen in the difference from the overshoot response which is 0.01%, the settling time is 0.1 seconds, and the rise time is 0.005 seconds.

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