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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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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.
Sistem Prediksi Penerimaan SNMPTN menggunakan Algoritme Decision Tree C4.5 Dityo Kukuh Utomo; Ahmad Afif Supianto; Welly Purnomo
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

Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) is a selection of tertiary education based on the grade of subjects which each year experiences an increase in the number of participants so that they have a high level of competition. Counseling guidance teacher has the duty to predict student acceptance in attending SNMPTN. Problems arise when the number of students conducting guidance increases as the SNMPTN registration time approaches. Therefore, we need a system that can predict the likelihood of students being accepted through the SNMPTN pathway to ease the burden on counseling guidance teachers. One prediction algorithm is decision tree C4.5 that makes decision tress to describe rules. The data used comes from the value of subjects belonging to SMA Negeri 3 Malang alumni who have attended SNMPTN from 2016-2018 with a total of 681 data for the Natural Sciences majors and 90 data for the Social Sciences majors along with a list of students graduating SNMPTN in the same year. From the value data and the list of students passing the SNMPTN, the attribute used is only the attribute value of the subjects used in the 2019 SNMPTN along with the status of graduating or not students in joining the SNMPTN. The system is built in the form of a website that utilizes WEKA CLI for the prediction process. The black box testing-validation results show the use case and system functions are matched or valid. The system usability level generated by utilizing the system usability scale is 87.5 which is included in the "acceptable" category
Analisis Perilaku Penggunaan Mobile Payment Aplikasi OVO menggunakan Technology Acceptance Model (TAM) Termodifikasi Ernita Oktiviana Safitri; Yusi Tyroni Mustiyo; Niken Hendrakusma Wardhani
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

Mobile Payment is an electronic financial system based on mobile devices. One of them is OVO. The advantage of OVO mobile payment is that it gives users the opportunity to collect points at various merchants. The purpose of this study is to determine the behavior of the use of OVO on user influence. Some of the variables used are perceived compability, perceived ease of use, perceived usefulness, perceived security, individual mobility, subjective norm and intention to use. Data collection techniques use questionnaires distributed online. This study also uses a population that is all obo users which is known from the results of users who have downloaded the OVO application. Respondents received a number of 100 which can be expected to be able to improve the accuracy of the money generated data. While the results of this study obtained perceived compability which did not significantly influence the behavior of OVO users with a calculated t value greater than the t table value of 1.294. While the variables that are percived ease to use, percived usefulness, percived immediately, individul mobility, subjective norm and attitude towards had significaant effect on intention to use because t count is smaller than t table.
Implementasi Antarmuka Komunikasi Berbasis Long Range pada IoT Middleware untuk Mendukung Network Interoperability Galih Bhaktiar Candra; Eko Sakti Pramukantoro; Rakhmadhany Primananda
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 characteristics of IoT are heterogeneity of device and the communication interface. The heterogeneity of communication interface in IoT causes network interoperability problems. Network interoperability is discussing about network and communication interfaces used by objects (things in IoT) to connect with other devices. One of the existing developed IoT middleware is to support network interoperability by providing communication using WiFi, BLE, and 6LoWPAN interface. Implementation of BLE, WiFi and 6LoWPAN is a limited development of Wide Personal Area Network, where the range of transmission media is in the same category. In this case, development of different types of communication interface and long distance is needed to support network interoperability. The chosen communication interface to be added is LoRa. In this research, LoRa was chosen and applied because it is type of Low Power Wide Area Network. LoRa is a wireless technology for IoT which is becoming popular because of the transfer of its data in small amounts at short intervals over long distances of communication. LoRa is implemented in IoT middleware as a new communication interface and replaces the 6LoWPAN communication interface. Based on testing, the results obtained indicate that the LoRa communication interface can reach 500 meters with an average delay 0.502 seconds. LoRa can receive data from different sensor nodes. In addition, LoRa can run and receive packages from WiFi and BLE, so that the use of LoRa can append middleware capabilities to support network interoperability.
Klasifikasi Gangguan Jiwa Skizofrenia Menggunakan Algoritme Decision Tree C5.0 Febriyani Riyanda; Imam Cholissodin; Sutrisno Sutrisno
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

Schizophrenia is one of psychiatric disorders which gets much concern all over the world. Schizophrenia requires a quick and precise treatment due to its chronic tendency. However, the insufficient service on mental disorder can cause patients are not addressed immediately and the height subjectivity amongst psychiatrists in determining the type of schizophrenia has similar symtoms can lead to schizophrenia classification errors. In this classification of mental disorders use the C5.0 decision tree algorithm, which has additional functions such as boosting. The data used were 106 data taken from the Dr. Radjiman Wediodiningrat Lawang Psychiatric Hospital, this data consists of 89 trained data and 17 test data. The test method being used is accuracy. Based on the results of testing the C5.0 parameter, the highest average accuracy value was 85.884% with the number of data = 71 samples, the number of trials or the number of decision tree = 100.
Penilaian Tingkat Kapabilitas Proses Akuisisi Pengembangan Sistem Informasi Menggunakan CMMI For Acquisition (CMMI-ACQ) Versi 1.3 (Studi Kasus: Dinas Komunikasi dan Informatika Kabupaten Tulungagung) Ulya Nuzulir Rohmah; Aditya Rachmadi; Andi Reza Perdanakusuma
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

Dinas Komunikasi dan Informatika (Diskominfo) Tulungagung is a government institution of Tulungagung that has a role to build a government based on information technologycalled e-government. In order to realizing e-government, Diskominfouse the ability of suppliers to develop their information system. However, in its implementation there are a lot of management error in defining requirements that makes project out of schedule. The purpose of this research is to assess the capability level of the acquisition process of information system development by adjusting the problems and objectives of improvement to the project roadmap according to CMMI for Acquisition 1.3 framework. The results of this research are the capability level of each process area appraised. The process of appraisal using Standard CMMI Appraisal Method for Process Improvement (SCAMPI) class C.The data used in this research were collected using interview and document tracking. There are 6 process area assessed in this research based on CMMI project roadmap. Based on the results of the assessment, it was found that only process area of Agreement Management that is at capability level 1, performed. While the other 5 process areas in project roadmap are at capability level 0, incomplete.
Pengembangan Aplikasi Marketplace Untuk Jasa Konfeksi Muhammad Iqbal Kurniawan; 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

Custom clothing manufacturing is one of the bustling businesses with the growth of SMEs production of apparel reaching 7.05 percent in 2018 based on data from the Central Statistics Agency. Through current technological developments, the use of technology for economics can provide benefits for SMEs such as custom clothing manufacturing. However, the application of e-marketplace that already exists in Indonesia do not provide adequate functions for the process of ordering custom clothing. Therefore, ordering custom clothing service cannot be made through an existing e-marketplace application. The problem that occurs in the conventional process is that customers are having trouble finding appropriate prices from various custom clothing merchants, customers have trouble monitoring the progress of the order and the processing period is not clear. Based on these problems, developing e-marketplace applications for custom clothing manufacturing is expected to solve these problems. The first process of the research is requirements analysis and obtained 28 functionals and 2 non-functionals functions, namely compatibility and performance. Then the system design process and system implementation process are carried out that refers to the acquisition of the requirement analysis process. The application implementation uses PHP based Laravel framework. Unit and integration level test results, as well as validation testing of the application, are 100 percent valid. The compatibility test results show that the application has no compatibility issues and can run on multiple platforms. The performance test results show that the application has an average performance that is the application can be accessed within a period of 1 to 2.5 seconds.
Sistem Deteksi Rem Mendadak dan Tabrakan Pada Motor Menggunakan Sensor Akselerometer Dengan Metode K-Nearest Neighbour Berbasis Arduino Musada Teguh Andi Afandi; Hurriyatul Fitriyah; Gembong Edhi Setyawan
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

Accident is incident that unpredictable both of victim and witness. But, the accident increased for every years. This is caused by increasing of vehicle unit that ciculate especially motor cycle. When accident happen, family of course doesn't know that an accident has occured to their family who drived the vehicle. So it's needed the system that give the information to the victim family in home. System designed used by many components like arduino mega that used for process datas, accelerometer sensor ADXL345 type for takes datas and GSM SIM900A module as sender of message for victim family. The system uses simple regression as fiture that will be used in K-Nearest Neighbour methode (K-NN) and classification methode K-NN to get incident class. Testing process of system by doing acceleration like brake and crashing and will be classified with K-NN methode so it will get value of accuracy 90% when the tragedy is sudden brake and 60% when accident use K value is 3 for both. While use K valueis 5, a precentage is obtained sytem to get right tragedy is 90% when sudden brake and 50% when accident. So as a whole precentage of system to get right tragedy is 83,33% when use K value 3 and 80% when value is 5.
Implementasi Search Engine Optimization (SEO) Pada Situs Rental-mobil-malang.com Menggunakan Metode Off Page SEO Muhammad Ilmar Alamsyah; Djoko Pramono; Yusi Tyroni Mursityo
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

Rental-mobil-malang.com is a web that provides car rental services and tour and travel packages owned by ERC Trans. This rental-mobil-malang.com web is the place where ERC Trans offered their services for their customers. But, rental-mobil-malang.com is on page 6 of google search engine result with keyword Malang car rental. So it will be difficult for new visitors to get into the web from search engines. Then the researcher analyzes rental-mobil-malang.com using Ahrefs and Moz to get the data about rental-mobil-malang.com. And then, the researcher also analyzes the top 10 webs of Google search engine results that using Malang car rental as the keyword. Based on the result of the analysis, comparison between rental-mobil-malang.com and the top 10 webs of Google search engine results, there still lack Off Page SEO optimization in rental-mobil-malang.com. This is obtained from a low level of domain authority and page authority of rental-mobil-malang.com and a low rank of the web provided by Ahrefs and Moz. To improve web rankings of the Google search engine and the domain quality from rental-mobil-malang.com, the researcher will design and implement Off Page SEO on rental-mobil-malang.com.
Optimasi Bobot Awal Extreme Learning Machine menggunakan Algoritme Genetika untuk Klasifikasi Penanganan Human Papilloma Virus Rizki Ramadhan; Wayan Firdaus Mahmudy
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

Human Papilloma Virus is a virus that causes warts in humans. There are so many types of treatment for this virus, the most common types of treatment are immunotherapy and cryotherapy. The symptoms that appear in the patient are almost similar, so that proper handling is needed. Based on this, the Extreme Learning Machine method is used to classify the types of treatment of Human Papilloma Virus. The symptom parameters used were 6 parameters and the classes used were immunotherapy and cryotherapy. In this research, the initial weight of the Extreme Learning Machine was optimized by Genetic Algorithm and then the weight was used by the Extreme Learning Machine method for the classification process of the types of treatment of the Human Papilloma Virus. The amount of data used is 118 data with the data ratio for the training process and the test process is 80:20. The Extreme Learning Machine parameters used are 10 hidden neurons and binary sigmoid activation functions. The test results obtained the best classification accuracy level of 100% for both treatment, cryotherapy and immunotherapy from 3 of 10 testing with an average computation time of 350,3 seconds using the initial weight which was optimized by the Genetic Algorithm with the best parameter population size of 70, the number generations of 160, the crossover rate of 0.9 and the mutation rate of 0.1.

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