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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Innovation and Applied Technology Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer Habitat Jurnal Edukasi dan Penelitian Informatika (JEPIN) SMATIKA Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JAST : Jurnal Aplikasi Sains dan Teknologi International Journal of Engineering, Science and Information Technology J-Intech (Journal of Information and Technology)
Arief Andy Soebroto
Universitas Brawijaya
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer

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Pengembangan Customer Relationship Management (CRM) Sistem Informasi E-Complaint Kota XYZ Elza Fadli Hadimulyo; Welly Purnomo; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The absence of the use of information systems in the management and handling of complaints in the XYZ city resulted in the management and handling of incoming complaints takes a longer time. This also affects the process making reports of complaints becoming inefficient. To improve the quality of complaints services in XYZ city, it is necessary to support the information system to support the management and handling complaints in XYZ city by applying the principles of CRM. This research was conducted to find out the information system built can improve the quality of complaint service in XYZ city. The information system will be built using Waterfall method and object oriented modeling. To build information systems researchers needs requirement analysis, design, implementation, and testing. Stages of needs analysis result in the depiction of business processes using BPMN and use case diagrams to model the needs and actors involved in the system. Stages of design produce activity diagrams, documentation of object interaction models into sequence diagrams, object model class diagrams, database design, algorithm design, and interface design. In the implementation stage generated information system in accordance with the design made in the previous stage. After that do white box testing using basis path testing to find out the complexity of the program code created and black box testing to test the functional requirements that are made is running as expected. To test the information system built can improve the quality of complaints service in XYZ city conducted UAT testing. The results of this study can be concluded that the information system built can improve the quality of complaints services in XYZ city.
Implementasi Metode Support Vector Machine Untuk Klasifikasi Jenis Penyakit Malaria Tryse Rezza Biantong; Muhammad Tanzil Furqon; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malaria is a disease transmitted by female Anopheles mosquitoes infected by a parasite (protozoa) originating from the genus Plasmodium. There are four species of protozoa parasites that commonly attack humans, including: Plasmodium vivax which causes malaria tertiana, Plasmodium falciparum causes malaria tropica, Plasmodium malariae causes malaria quartana, and Plasmodium ovale causes malaria ovale. These four malaria cases almost have the same symptoms, so it is not easy to distinguish between one to another. Therefore, a system that can classify these types of malaria based on the symptoms is needed. Classification is the creation of a model that is used to classify an object into a predetermined class based on the same characteristics. One of the classification method is Support Vector Machine (SVM). Therefore the SVMs classification algorithm using the RBF kernel is being used in this study. The data used were 200 data taken from Dinas Kesehatan Kabupaten Nabire, Papua. In this test used K-fold Cross Validation with the K-fold values = 10. The best accuracy results generated by this system is 72.5% with the value of the parameter λ=0.1, σ=1, γ=0.001, C=0.1, ε=1.10-5, itermax=50 data on the ratio of 80% training data : 20% testing data.
Pembangunan Kakas Bantu Pembangkitan Kasus Uji Black-Box Berdasarkan Skenario Penggunaan Sistem Laode Muhamad Fauzan; Bayu Priyambadha; Arief Andy Soebroto
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

Generally, testing consist of 3 phase,specifically generate test case, execute test case, and evaluate the testing result. Software testing is a process that expend a lot in both time and resources. One way to reduce the time and resources is by automate the test case generation. Test case can be derived from use case scenario. This kind of test case is called black-box test case. Use case scenario has many different formats, this paper will use the Cockburn format. In order to transform the use case scenario. This research use natural language processing and EFSM (Extended Finite State Machine) model. Natural language processing will be used for generating activity table. The activity table will modeled with EFSM and tranversed to produce a test case. This research will develop the tool using java that allows the tools to run on platform that supports JRE (Java Runtime Environment). The tools is tested using unit testing, integration testing, and validation testing. Unit and integration will be conducted with whitebox method, while validation testing is done using black-box method. The tool can generate test case from 20 use case scenario in less than 120 seconds.
Klasifikasi Tingkat Stres Berdasarkan Tweet pada Akun Twitter menggunakan Metode Improved k-Nearest Neighbor dan Seleksi Fitur Chi-square Mohammad Imron Maulana; Indriati Indriati; Arief Andy Soebroto
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

Today, social media has become a new lifestyle for modern society. One of the most popular social media is Twitter. The character limitation when tweeting on Twitter makes the message conveyed by its users short, solid and clear. Thus, the complaints of users as outlined in a tweet can be analyzed using text classification which can then be used as a new method to determine the stress level of a person. In which up to this time, to determine the stress level is still done manually using a questionnaire system. The text classification used in this study is the Improved k-Nearest Neighbor method which is an improvisation of the k-Nearest Neighbor method which has a weakness in the use of k values for all classes. In addition, to improve the accuracy of the system and eliminate less relevant features, chi-square feature selection is used which can eliminate less relevant features without reducing the accuracy of the system. From 5 feature ratio tests, the best value is obtained at the feature ratio of 25% and k-value = 20 with an average precision value of 70%, the average recall is 67.2%, the average accuracy is 83.3%, and the average f-measure is 66.3%. From this research, it can be concluded that feature selection can increase the average precision, recall, accuracy, and f-measure.
Pengembangan Sistem Informasi Kesehatan Gizi (Studi Kasus: Klinik UB Malang) Aizul Faiz Iswafaza; Achmad Arwan; Arief Andy Soebroto
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

One of human welfare is derived from the value of health. For health, it is obtained by maintaining food intake for the body. Maintaining food intake can be done in consultation with experts or the application of a balanced diet. Universitas Brawijaya Malang Clinic is one of the nutrition health service providers. The clinic conducts services based on the Hospital Nutrition Guidelines book in 2011. The services carried out are in the form of recording personal data until monitoring and evaluation. Recording patient data currently using conventional methods, causing limited access to patient data services. In making a diet menu design the patient needs food data and does not exceed the patient intervention limit. This study aims to develop an information system that assists nutritionists in serving the nutritional health of patients using the waterfall development method. The technology used to develop the system is the use of laravel frameworks with the website programming language. In making system requirements engineering, 30 functional requirements were obtained which were then made designs and then implemented. In the final stage of the study, testing was carried out using the black box and white box method. The results of the black box testing of 30 functional requirements found 52 test cases that gave a valid status of 100% which meant that it was in accordance with the design made.
Pengembangan Aplikasi Pemindaian Kode Pengujian Unit (Studi Kasus: PT Global Digital Niaga) Ade Wija Nugraha; Bayu Priyambadha; Arief Andy Soebroto
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

Unit testing is one phase in the software testing process, but there are still some programmers who are reluctant to do the unit testing. These problems also occur in PT. Global Digital Niaga. Some programmers don't pay attention to the quality of the unit testing's code and only pay attention to the value of the unit testing code coverage. Researchers develop applications that can be used to scan unit testing codes and identify the incorrect unit testing code based on rules. The scanning process starts with searching for information on the uploaded project. Then, application scans production code and unit testing code using JavaParser library. After that, the application analyzes each scanned unit test code whether the code matches with writing rules or not. Then, the application saves the scan results and displays them. The first phase of this research is the study of literature. Then, the requirements engineering produced 25 functional and 2 non-functional. Next is the design and followed by the implementation by creating a website application. After that, the testing with a 100% pass, 100% valid, and 100% accurate for unit, validation, and accuracy testing. The application can run on eight different browsers for compatibility testing.
Pengembangan Sistem Aplikasi Penentuan Prioritas Kasus Uji Berbasis Lexicographical Ordering Lailatul Rizqi Ramadhani; Bayu Priyambadha; Arief Andy Soebroto
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

Test case prioritization is a strategy of regression testing. It can reduce the cost of regression testing. Test case prioritization based on lexicographical ordering is considered to be the best technique based on its Average Percentage Fault Detection (APFD). This technique determines test case prioritization based on coverage information of each test case. There have been no studies that implement this technique into a system and research shows that prioritizing test cases based on code coverage is expensive both in terms of time and resources. Because the more number of test cases, the greater size of the code coverage information that have to be read. Therefore, this study developed an application system for test case prioritization based on lexicographical ordering. This system aims to help the process of reading coverage information and determining test case prioritization automatically. So this system is expected to accelerate the determination of test case prioritization. The results of testing phase show that the system has 100% accuracy with reading coverage information in each test case also finding prioritization in less than 8 seconds. This paper will summarize the application system development process. The stages described from the introduction, research methodology, results and discussion, and getting conclusions from the research.
Pembangunan Sistem Aplikasi Deteksi Code Smell berdasarkan Metrik Feature Envy Vicky Virdus; Bayu Priyambadha; Arief Andy Soebroto
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

Code Smell is a structural pattern part of a software program code that has a bad design. The code structure pattern that contributes to excessive coupling is code smell feature envy. Feature Envy occurs because of the high coupling of the inaccuracy of class member placement within a class. Incorrect class member placement will affect the program code structure if a change is made. However, the different patterns of perceptions of each programmer resulted in the difficulty of measuring the code smell feature envy. This study aims to equate the perceptions of programmers by building an application system that can detect the envy smell feature code automatically so that it can simplify the implementation of clean code smell feature envy. The application system for detecting the smell feature envy code was developed based on feature envy factor as a reference in measuring and calculating its value. This system has been tested using the White box method for unit testing and integration testing and then the Black Box method for validation testing with pass status or valid for each method that has been applied. This system also gets 100% accuracy rate for each project tested.
Sistem Pakar Deteksi Kenakalan Remaja di Sekolah Menggunakan Modified K-Nearest Neighbor (MKNN) Asrul Syawal; Arief Andy Soebroto
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

Juvenile delinquency is one of the problems faced by parents in guiding children. Juvenile delinquency has often happened in the world of primary education in schools, this is a concern for parents, besides parents, teachers as mentors in schools actively participate in guiding students in schools to avoid juvenile delinquency and to behave positively and positively in the school environment and outside the school environment . To avoid delinquency in school prevention is done by detecting delinquency that might occur in children based on factors or behavioral symptoms that are often carried out by children. In this study a system was created to detect juvenile delinquency especially in schools to prevent delinquency that might occur using the Modified K-Nearest Neighbor (MKNN) method. MKNN method is a developmental method of the KNN method, which distinguishes the value of validity in training data to produce better values. The results of this test used as much as 60 training data, and the accuracy of the variation in training data obtained the lowest level of accuracy when the value of training data variation was 30% the accuracy was 76.78% and the highest level of accuracy when the training data variation value was 90% the accuracy was 100%. In this test the average system accuracy was obtained at a maximum of 86.7%.
Pembangunan Kakas Bantu Perhitungan Kualitas Kode (Quality Rate) menggunakan Metrik Perangkat Lunak Odhia Yustika Putri; Bayu Priyambadha; Arief Andy Soebroto
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

A good quality software is usually understood as a lack of errors within the software. The previous study entitled “Towards a Reliable Identification of Deficient Code with a Combination of Software Metrics” has been done by Beranic in 2018 and showed the use of combination of 8 object-oriented software metrics to identify deficient code in certain software. The deficient code detection can be used to calculate the quality rate. However, the calculation of deficient code and quality rate are done separately. To overcome this problem, a tool is made for the calculation of quality rate with a combination of software metrics. This tool was built using Software Development Life Cycle (SDLC) Waterfall method and coded in Java. This tool runs on a desktop platform and use Java project as its input. Requirement engineering process in this tool produced 3 functional requirements and 1 non-functional requirement. The design is in object-oriented and produced 1 class diagram, 3 sequence diagrams, 5 algorithms, and 3 user interface design. The design is develop using JavaFX and ASTParser library. The outcome of the white-box and black-box tests indicate that this tool has a validation percentage of 100%.
Co-Authors Achmad Arwan Achmad Ridok Adam Hendra Brata Ade Wija Nugraha Adi Setyo Nugroho Admaja Dwi Herlambang Agi Putra Kharisma Agi Putra Kharisma, Agi Putra Agus Wahyu Widodo, Agus Wahyu Ahmad Afif Supianto Ahmad Mustafirudin Ahmad Shofi Nurur Rizal Aizul Faiz Iswafaza Alfarisi, Muhammad Asnin Ali Akbar Alysha Ghea Arliana Amira Ibtisama Ana Kusuma Ardani Andreas Tommy Christiawan Andri Wijaya Kusuma Asrul Syawal Asrul, Divanda Arya Inasta Asus Maizar Suryanto H Austenita Pasca Aisyah Baghaz, Renanda DSP Bambang Gunadi Brilliansyach, Raihan Fikri Caesar, Canny Amerilyse Candra Dewi Candra Dewi Catur Ari Setianto Dama Yuliana Deby Putri Indraswari Denny Sagita Rusdianto Destyana Ellingga Pratiwi Destyana Ellingga Pratiwi Dhea Azahria Mawarni Dian Eka Ratnawati Djoko Pramono Dwi Cindy Herta Turnip Dwi Puri Cemani Dzikrullah, Muhammad Aulia Fachruz Edy Santoso Eka Miyahil Uyun Eko Ari Setijono Marhendraputro Eko Arisetijono Elza Fadli Hadimulyo Enggar Septrinas Enggarsita Auliasin Eugenius Yosep Korsan N Evi Irhamillah Azza Faisal Roufa Rohman Faizatul Amalia Fajar Pradana Fauziah Mayasari Iskandar Febrianita Indah Perwitasari Fendy Yulianto Ferdy Wahyurianto Fildzah Amalia Galuh Mazenda Guruh Prayogi Willis Putra Habib Yafi Ardi Hanafi, Andy Hastian Bayu Hendra Darmawan Herman Syantoso Himawan Sutanto I Gede Adi Brahman Nugraha I Putu Bagus Arya Pradnyana Ibnu, Mohammad Ibrahim Kusuma Imam Cholissodin Imam Cholissodin Imam Cholissodin Imam Cholissodin Imam Cholissodin Indra Ekaristio P Indriana Candra Dewi Indriati Indriati Indriati Indriati Ishak Panangian Sinaga Ismiarta Aknuranda Issa Arwani Issa Arwani Karmia Larissa Br Pandia Khoifah Inda Maula Khrisna Widhi Dewanto Krisna Wahyu Aji Kusuma Lailatul Rizqi Ramadhani Lailil Muflikhah Laode Muhamad Fauzan Latifah Hanum Lily Montarcih Limantara Mahdi Fiqia Hafis Maria Tenika Frestantiya Maria Tenika Frestantiya, Maria Tenika Maya Febrianita Moh. Sholichin Mohammad Imron Maulana Muh. Arif Rahman Muhammad Iqbal Kurniawan Muhammad Rois Al Haqq Muhammad Rouzikin Annur Muhammad Tanzil Furqon Muhammad Taruna Praja Utama Mutia Ayu Sabrina Nadya Rahmasari Nadya Sylviani Nainggolan, Yohana Beatrice Niftah Fatiha Armin Niken Hendrakusma Wardani Nizar Rahman Kusworo Nurannisa, Nadhira Nuriya Fadilah Nurudin Santoso Nurul Faizah Nurul Faridah, Nurul Nurul Hidayat Nurul Hidayat Nurul Hidayat Odhia Yustika Putri Priyambadha, Bayu Randy Cahya Wihandika Raymond Gunito Farandy Junior Rekyan Regasari Restia Dwi Oktavianing Tyas Reynald Daffa Pahlevi Ridwan Fajar Widodo Rio Andika Dwiki Adhi Putra Rio Arifando Risda Nur Ainum Riski Ida Agustiyan Risqi Nur Ifansyah Rivaldy Raihan Syams Rizal Setya Perdana Rizal Setya Perdana Saiful Kirom, Muhammad Ihsan Santoso, Nurudin Sativandi Putra Satrio Agung Wicaksono Sitepu, Yosua Christiansen Stefan Levianto Sukamto, Anjas Pramono Surya Wirawan SUTRISNO Sutrisno Sutrisno Sutrisno, Sutrisno Teddy Syach Pratama Thareq Ibrahim Tiara Rossa Diassananda Tryse Rezza Biantong Vasya, M Azka Obila Vicky Virdus Vivien Fathuroya, Vivien Wayan Firdaus Mahmudy Welly Purnomo Wijaya, Aldi Rahman Wildan Ziaulhaq Wildan Ziaulhaq Wildansyah Maulana Rahmat Yearra Taufan Ardy Rinaldy Yusril Iszha Eginata Zaien Bin Umar Alaydrus Ziya El Arief Ziya El Arief, Ziya El