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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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Komparasi Metode K-Nearest Neighbors (K-NN) Dengan Support Vector Machine (SVM) Untuk Klasifikasi Status Kualitas Air Icha Gusti Vidiastanta; Nurul Hidayat; Ratih Kartika Dewi
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

Water quality status classification for the community is divided into 2 classes namely those that meet the standards and do not meet the standards for consumption. The field of object classification research has been carried out, making it possible to create technology in the field of object classification with high accuracy. There are many classification methods, in this study discussing the comparison between K-Nearest-Neighbors (KNN) algorithm and Support vector machine (SVM). Research on the variables in the KNN and SVM algorithm to determine the best variable in classification. Testing is done by the K-Fold method with a value of K = 5 on a dataset of water quality status. Tests carried out to get the optimal parameter value KNN with K = 7 and SVM with value of the maximum iteration value = 300, = 10−12, 𝜎 = 0.07, 𝜆 = 3, 𝛾 = 1.7, and 𝐶 = 1. This research resulted in an accuracy of KNN of 88.94% and SVM of 87.71%. It was observed that the K-Nearest-Neighbors (KNN) algorithm had higher accuracy than the Support vector machine (SVM) algorithm.
Pemanfaatan Ciri Gray Level Co-occurrence Matrix (GLCM) Untuk Deteksi Melasma Pada Citra Wajah Winda Ika Praseptiyana; Agus Wahyu Widodo; Muh Arif Rahman
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

Skin is the outermost human organ with the highest sensitivity from external environment, it can cause skin diseases. Skin disease in tropical countries like Indonesia is melasma. Melasma is caused by excessive use of cosmetics and contact with ultraviolet light. If allowed to damage skin cells, damage DNA and risk of skin cancer. Examination on site by a dermatologist relies on visual examination and history taking, which does not rule out the possibility on inaccurate analysis and diagnosis. Therefore, patients choose to do selfcare. However, selfcare can cause melasma to get worse if it is misidentified. Therefore, a detection system is needed to help identify melasma automatically. Using 20 face images data divided into 16 training images and 4 testing images. Face image come in processed cropping images in non-overlapping sliding window to get the window images, then converted to grayscale images. Using the Gray Level Co-occurrence Matrix (GLCM) method as texture extraction with combination angle is 0 °, 45 °, 90 °, 135 ° and neighboring distance value d = 1,2,3. Use of GLCM features are contrast, homogeneity, energy and entropy. For classification method using K-Nearest Neighbor (KNN) with value k=5. This research success in testing of window images, the best percentage was 98% with window size of 200x200 pixels, angular direction with 3 combination is 0°+45°+90° and distance of neighborhood is d = 2.
Evaluasi Usability Web UniPin dengan Menggunakan Metode Usability Testing Dinda Aditya Febrianti; Satrio Hadi Wijoyo; Hanifah Muslimah Az-Zahra
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

E-commerce is an online shopping activity service using the internet network as well as how to do transactions through digital money transfers provided by PT. 24 Hours Online (UniPin). On the UniPin website there are tons of games that have collaborated with unipin.co.id such as the Mobile Legends game, PUBG Mobile, besides the UniPin web also provides Google Play vouchers, Steam Wallet and other vouchers. UniPin is a business that has been started since 2009 and already has millions of users. From the data of user complaints, there are several problems regarding aspects of usability, such as the user not understanding the UniPin web usage flow. According Istiana (2015) Evaluation of usability of a website that has been built needs to be done one of them to find out how the usability of the website for users. To find out the level of usability on the e-commerce website used by PT. 24 Hours Online, it is necessary to evaluate usability on the UniPin website by using the usability testing method to observe user behavior. To obtain data, the data collection techniques used are by observing user behavior when carrying out the given task and conducting questionnaires using the Nielsen Attributes of Usability (NAU) questionnaire, and interviews with UniPin web users. The usability evaluation process consists of several stages, including extracting information by requesting customer complaint data on the UniPin web customer service, assigning tasks to respondents, filling out questionnaires, interviewing respondents to dig deeper information, the data obtained is then processed using the Likert scale method and in the analysis, then the UniPin web display design is made according to the analysis obtained. Based on the analysis, the results for the learnability aspect were 77%, the efficiency aspect was 75%, the memorability aspect was 79%, the error aspect was 71%, and the satisfaction aspect was as much as 70%. This shows that the results of the UniPin web usability level research are still in the agreed / good / like interval criteria, and produced 3 UniPin web display mockups that can be used to help improve the UniPin web.
Komparasi Metode Data Mining Support Vector Machine dengan Naive Bayes untuk Klasifikasi Status Kualitas Air Ricky Marten Sahalatua Tumangger; Nurul Hidayat; Marji Marji
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

Water is a chemical compound that is very important for every living thing for survival on this earth. On earth water has a very large area compared to the mainland this compound has an area of ​​almost 71% around the land. The water also consists of sea water, rivers, lakes, ground water, swamp water, snow and steam which are in the air layer that contains mineral substances that are recruited in water. To determine the classification of water quality status using the Support Vector Machine and Naive Bayes methods. This method was chosen because previous studies get high accuracy results for classification. The parameters used are the degree of acidity (pH), TDS, NO2, NO3, hardness, chloride, manganese. The Vector Machine and Naive Bayes Suppord method will provide the results of the comparison of the accuracy of the two methods. Testing on the system is done using the K-Fold Cross Valadation test with the highest accuracy results when K = 9 for the Support Vector Machine method and K = 5 for the Naive Bayes method. Testing parameters for the Support Vector Machine method gets the highest accuracy when the threshold value is , C = 3, γ = 0.01, λ = 2.5, maximum iteration value = 1, σ = 0.1. From these tests the accuracy of the Support Vector Machine method was 78.70% and the Naive Bayes method was 85.78%. The best results obtained by the classification of water quality status are the Naive Bayes method compared to using the Support Vector Machine method because the average accuracy of the Naive Bayes method is higher. Water is a chemical compound that is very important for every living thing for survival on this earth. On earth water has a very large area compared to the mainland this compound has an area of ​​almost 71% around the land. The water also consists of sea water, rivers, lakes, ground water, swamp water, snow and steam which are in the air layer that contains mineral substances that are recruited in water. To determine the classification of water quality status using the Support Vector Machine and Naive Bayes methods. This method was chosen because previous studies get high accuracy results for classification. The parameters used are the degree of acidity (pH), TDS, NO2, NO3, hardness, chloride, manganese. The Vector Machine and Naive Bayes Suppord method will provide the results of the comparison of the accuracy of the two methods. Testing on the system is done using the K-Fold Cross Valadation test with the highest accuracy results when K = 9 for the Support Vector Machine method and K = 5 for the Naive Bayes method. Testing parameters for the Support Vector Machine method gets the highest accuracy when the threshold value is , C = 3, γ = 0.01, λ = 2.5, maximum iteration value = 1, σ = 0.1. From these tests the accuracy of the Support Vector Machine method was 78.70% and the Naive Bayes method was 85.78%. The best results obtained by the classification of water quality status are the Naive Bayes method compared to using the Support Vector Machine method because the average accuracy of the Naive Bayes method is higher.
Sistem Informasi Akademik berbasis Web pada SMK Negeri 2 Payakumbuh Fairuz Zaki; Faizatul Amalia; Achmad Arwan
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

Payakumbuh 2 Vocational High School is a formal educational institutions under the auspices of the Ministry of Education and Culture of the Republic of Indonesia. In managing academic data at Vocational High School 2 Payakumbuh still uses conventional methods so it requires a long process in processing data and the risk of data loss is also greater. From these problems the solution is obtained by building a web-based academic information system so that the system can be accessed easily through a web browser. The method used in system development is SDLC Waterfall. The stages carried out in this study began with the study of literature, requirement analysis, design, implementation, testing and making conclusion. From the requirement analysis, there were 4 actors involved in the system, namely teacher, students, pokja PKL and admin. The results of requirement analysis also obtained 2 non functional and 55 functional requirements. Models of sequence diagrams and class diagrams are also constructed in the design stages. The system then tested with whitebox testing for unit and integration testing from 3 test cases with 100% valid, while the validation testing used the blackbox testing and produced 100% valid data from 55 test cases. The compatibility tests gets an invalid result in the responsive test case and for usability testing with the System Usability Scale technique the result are acceptable with grades B and C as well as good rating.
Pengembangan Media Pembelajaran Interaktif Mata Pelajaran Desain Grafis Percetakan menggunakan Model Four-D pada Siswa SMK Negeri 5 Malang Fajar Ramadhanti; Hanifah Muslimah Az-Zahra; Admaja Dwi Herlambang
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

The study aims to determine the validity of interactive learning media on graphic design subjects of printing using the four-D model and know the level of understanding of learners after receiving learning. Interactive learning Media helps the interaction between teachers and learners in learning. The methods used in this research are research and development using four-D models. The research consists of four phases, namely (1) definition, (2) planning, (3) development, and (4) dissemination. Subjects in the study were students of class XI Multimedia 1 SMK Negeri 5 Malang. The instruments used include interactive learning media validation sheets, multiple choice tests including pretests and posttest, assessment sheets, learners ' response questionnaire. Based on the results of the study obtained that: (1) Interactive learning Media-based e-books graphic design printing is declared worthy based on the validation results with an average validation result by a validator of 87%, it indicates that Media that is made valid with the category "excellent". (2) The level of understanding of learners obtained based on the average results of pretests and posttest. The overall pretests results average of 64.5. While the average posttest results amounted to 78.2. The average rate difference of pretests and posttest is 13.7. This suggests that interactive learning media-based e-book graphic design printing is able to improve learners ' understanding.
Analisis Dan Perancangan Sistem Informasi Penanganan Keluhan Masyarakat Berbasis Web (Studi Kasus: Pemerintah Kabupaten Sidoarjo) Fikri Rizky Adinata; Widhy Hayuhardhika Nugraha Putra; Ismiarta Aknuranda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 12 (2019): Desember 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Government of Sidoarjo has the objective to improve the quality of innovative and equitable public services to the society which is a public complaint service that is sheltered by the Public Complaints and Service Center (P3M). One of the society's features to complain is the website that has been provided by P3M Sidoarjo Regency. However, the website is less attractive to society because it has many problems. one of them is the complaints are difficult to trace, there are no supporting features in making complaints and there is no feature for two-way communication in complaints that have been made. from some of these problems, society prefers to make complaints through social media. from some of these problems the society prefer to make complaints through social media, this makes complaints not recorded properly. Based on problem, the analysis and design of an information system are needed to resolve the problem. the system design process is created using Object-oriented analysis and design with UML modeling. the results of the system design are evaluated using the Traceability Matrix and usability testing. requirements analysis produces 32 functional requirements and 1 non-functional requirement and 12 use cases, in the system design made 4 controller classes and 10 model classes, at the evaluation stage using traceability matrix shows all the results of the system design can be traced to the requirements analysis and business process modeling and Evaluation using usability testing results in an average success rate of 97% and an average time-based efficiency of 0.03 tasks/second.
Penerapan Metode Fuzzy K-Nearest Neighbour (FK-NN) Untuk Diagnosis Penyakit Pada Kucing Hardyan Zalfi; Agus Wahyu Widodo; Bayu Rahayudi
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

Cats are the animals most loved by humans with a very nice shape and fur many people make cats as their pets especially in Indonesia or the world. The population of cats is 220 million in the world. With the big populatian of cats, of course there are also many cats that have poor health with disease. The limited ability of a person to detect cat disease and the limited of veterinary experts requires a system that can diagnose disease in cats easily. The making of this cat disease diagnosis system uses the k-nearest neighbor fuzzy method which is a development of the k-nearest neighbor method where the membership value of the k-nearest neighbor results will be calculated. Based on the functional tests that have been carried out, each "test class produces conformity to system requirements. The first accuracy testing is testing accuracy based on variations in the amount of training data with a different amount of training data for each test. For this test the highest accuracy value obtained by 85% while the lowest accuracy value is 80%. The second accuracy testing is accuracy testing based on the influence of K values ​​with the same test data totaling 15 test data. The results of this test the greatest accuracy is 86% while the lowest is equal to 73%. This shows that the k-nearest neighbor fuzzy method has a pretty good accuracy to diagnose diseases in cats.
Penerapan Problem Based Learning Berbantuan Lembar Kerja Siswa Untuk Meningkatkan Hasil Belajar Pada Mata Pelajaran Pemrograman Dasar (Studi Pada : SMK Negeri 4 Malang) Sila Nur Ma'rifah; Satrio Hadi Wijoyo; Satrio Agung Wicaksono
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

This research is motivated by the learning process that takes place centered on the teacher's explanation, there is no student companion in learning and student learning outcomes from assignments are not good enough. This study aims to improve student learning outcomes in Basic Programming subjects by using Problem Based Learning aided by Student Worksheets. This study uses a Quasi Experiment method with a Non Equivalent Control Group Design that uses two classes as a control and an experiment. This study uses the subject of class X students of the Department of Multimedia SMK 4 Malang. Class X MM A is the superior class and X MM B is the lowest class. This study uses data collection techniques with test instruments in the form of Pre-Test and Post-Test questions in the form of 5 descriptive questions. This study uses data processing techniques with the Wilcoxon Test and the Mann-Whitney Test. This study results in an increase in learning outcomes with learning that applies Problem Based Learning with or not with the help of Student Worksheets because it gets a smaller number than the significant level used by 0.05, and learning outcomes on students' knowledge and skills are both the same at students with learning who apply Problem Based Learning with or not with the help of Student Worksheets because they get a number greater than the significant level used by 0.05.
Pengembangan Sistem Informasi Pemesanan Barang pada Distributor Cat Menggunakan Metode Pengembangan Personal Extreme Programming (Studi Kasus: PD. Sentosa Kota Bandung) Ahmad Wicaksana; Satrio Agung Wicaksono; Welly Purnomo
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

Sentosa is a Small and Medium Enterprise that runs its business as one of paint distributor in Bandung. In running its business, the enterprise has implemented some business rules that cause some problems, which includes no mechanism available for Sales to take over order taking, invalidated order is still being passed and payments being mixed up From the stated problems, a system is developed as a solution for the problems using the development method of Personal Extreme Programming. Requirement Analysis being done resulted in 41 functional requirements and 2 non-functional requirements. Planning results in 42 tasks with total estimated work time of 116 hours. There are in total 3 iterations in this development. Design results in the creation of 3 use case diagrams, 37 use case scenarios, 17 analysis classes, 14 sequence diagrams, 12 class diagrams and 3 physical data model. Validation testing is done in all iterations, which generated 75 test case, which results in success in all test case. In the final iteration, two types of UAT has been done, UAT for Web System and UAT for Mobile System. UAT for Web System is conducted with 4 respondents with final result of 3.858 (Neutral). UAT for Mobile System is conducted with 3 respondents with final result of 3.444 (Partially Disagree). In the whole iteration, it is noted that real work time clocked in 170 hours and 59 minutes, in which difference in estimated time is due to revision that occurred while designing and obstructions occurred when implementing.

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