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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 125 Documents
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Search results for , issue "Vol 3 No 3 (2019): Maret 2019" : 125 Documents clear
Pengembangan Sistem Pelaporan Pemeliharaan Stasiun ONLIMO (Online Monitoring) Milik BPPT (Badan Pengkajian dan Penerapan Teknologi) Berbasis Android Ferlie Deanada Effendi; Herman Tolle; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

For the responsibility of all activities who's been done by station operators, a report to the admin data center is needed. One activities that must be reported is ONLIMO station maintenance activities. However, the current reporting system still using group chat rooms, which makes the admin difficult to get all the data. In addition, there were also difficulties in recording sensor sparepart replacement. So, a system is needed to simplify reporting process at Badan Pengkajian and Penerapan Teknologi (BPPT). The system is implemented on mobile application because a lot of station operators using Android device and on server side using the website platform. For development, agile method is used because it suitable with the process of evaluating research at BPPT. The functional test results found that all feature was valid. While for non-functional testing, we found usability value is 75 which shows that the system is good but needed repairs, the system needs internet connection for reliability aspects, and the system can selecting users well for security aspects. For the effectiveness level obtained 100% where all users can use the system effectively, and for system efficiency is 0.0103 goals/sec which indicates the ONLIMO reporting system already effective and efficient.
Evaluasi Usability Pada Antarmuka Pengguna Aplikasi PLN Mobile Menggunakan Metode Evaluasi Heuristik Putri Ayu Lestari; Ismiarta Aknuranda; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PLN Mobile is a Mobile application built by PT. PLN which aims to provide electricity services through Mobile apps. PLN Mobile has several services, namely information, check bills, provision of electricity, complaints, and contact centers. The PLN Mobile application has not been able to achieve the objectives in providing convenience in Mobile services due to the many user complaints on user review playstore for navigation or difficult application usage, therefore it is necessary to do usability evaluation to find out usability problems that exist at the PLN Mobile application interface. In this study usability evaluation uses the Nielsen's heuristic method. Heuristic evaluation method is a method used to find usability problems in the interface design of a product based on 10 usability principles. Heuristic evaluation in this study was carried out by 4 expert usability. The heuristic evaluation of the PLN Mobile application found that there are 22 problem with the highest average severity rating found on the principle of H-3 (User control and freedom), namely the severity rating of 2.7. While the heuristic principle with the largest percentage of findings is H-4 (Consistency and Standards) with a percentage of 22,88% of all findings of the problem. This research also provides improvement recommendations from evaluators which are very useful to be used as a consideration for PLN Mobile to improve the application.
Prediksi Kelulusan Mahasiswa Berdasarkan Kinerja Akademik Menggunakan Pendekatan Data Mining Pada Program Studi Sistem Informasi Fakultas Ilmu Komputer Universitas Brawijaya Ryan Dwi Pambudi; Ahmad Afif Supianto; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Late graduation is a problem that often encountered in university's academic environment. This is also experienced in University of Brawijaya Information System study program which average students accepted in the Information Systems study program is 213 students, whereas the average students that graduate is only less than 99 students. This imbalancy will be certainly causing disadvantage to the academicians and students. So based on this problem t is necessary to predict the students who are indicated not to graduate on time so that further action can be given. One of the tasks that can be used to predict graduation in data mining can use the type of task classification. By utilizing one of the classification algorithm methods namely Naive Bayes, probability patterns will be generated on each attribute that can be used to determine whether students graduate on time or not. From data of students that collected totaling 1354 data, the data is then carried out pre-processing for the mining process on a system developed on a web-based using Weka CLI. Information from graduation predictions is displayed on the dashboard according to the needs of the Head of the SI Department. Test Results Black-box shows a valid system according to defined needs. While the results of usability testing with the System Usability Scale(SUS) produce a value of 57.5 which is classified as an Adjective rating Good.
Evaluasi Usability Pada Aplikasi KRL Access Dengan Menggunakan Metode Evaluasi Heuristik Venzy Pertiwi; Ismiarta Aknuranda; Satrio Hadi Wijaya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

KRL Acess is the official mobile application owned by PT Kereta Commuter Indonesia that can be used by Jabodetabek KRL users to find for the information about train arrival schedules and routes. Users of the KRL Access application certainly have a number of problems when using the application, both positive and negative issues. In order to achieve the KRL Acess's purpose, ussability sistem can allow the users to get the results as expected. This research was conducted by using heuristic evaluation method to find out the usability problem that might occured in KRL Access. The evaluators that involved in this heuristic evaluation process were 4 evaluators of ussability expert. Usability evaluation with the heuristic evaluation method resulted in finding usability problems with total amount of 24 problems were founded by usability expert evaluator. From the total amount of 24 usability problems, it was found that the average severity rating that could be classified into 3 of 4 categories namely catastrophic, mayor, dan minor. The highest average severity rating is owned by the H-3 (User control and freedom) and H-10 (Help and documentation) principles. Each heuristic principle has an average severity rating of 2.75. While the most usability problems are found in the H-1 heuristic principle (Visibility of system status) with 28.12% of the overall usability problems.
Pembangunan Kakas Bantu Untuk Mengukur Maintainability Index Pada Perangkat Lunak Berdasarkan Nilai Halstead Metrics dan McCabe's Cyclomatic Complexity: English Rasio Ganang Atmaja; Bayu Priyambadha; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the software development cycle there is a maintenance phase. In this phase, errors or defects of the software that have not been found on development or testing phase will be corrected. In this phase, software is also changing to fit the new system environment and stakeholder needs. In software development there are several reasons why it is necessary to calculate maintainability value of the software, such as the value of maintainability can help in deciding whether a software is easy to maintain or needs to be redesigned. There are several methods that can be used to measure maintainability value of the program, one is the Maintainability Index (MI). Maintainability Index is calculated based on the value of Halstead's Volume, McCabe's Cyclomatic Complexity, and line of codes. The Maintainability Index calculations system provide features for calculate Maintainability Index values of the Java source code and display graph visualizations using Java technologies. This system has been tested using unit testing, integration testing that uses Whitebox methods and validations testing that use Blackbox methods. This system has an accuracy of 98% and the time for calculating one method only takes less than 1000ms
Pembangunan Sistem Informasi Praktik Pengalaman Lapangan (PPL) Berbasis Android (Studi Pada Fakultas Ilmu Komputer Universitas Brawijaya) Rizky Wahyu Setiawan; Satrio Agung Wicaksono; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pedagogic competence is the main of terms that must be had for a teacher. in Information Technology Education Program Study, Faculty of Computer Science Brawijaya University, obligate their students to do Educational Field Experience Placement to equip their graduates become a teacher. PPL has several part, they are Registration of PPL, Practice PPL I, Practice PPL II, and PPL Report. However, the information system for this program has not supported yet in Faculty of Computer Science at the same time. So that, the activity of PPL become less effective. According to that problem, this research aim to develop an information system that can support process PPL for every stakeholder. The system that will be developed having four features, they are Registration PPL for student, Record Logbook for student, Approve Logbook for teacher, and Assessment PPL for teacher. This system will be developed using Android platform for increase portability and accesibility of system. In this development is used metodology Extreme Programming. Then system will be tested using Black Box and Mobile (Android Platform) Compatibility Testing. The result shows that the system is 100% valid and 100% compatible.
Implementasi Sistem Akuisisi Data Sensor Pertanian Menggunakan Protokol Komunikasi LoRa Richad Gilang Wisduanto; Adhitya Bhawiyuga; Dany Primanita Kartikasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Periodic monitoring of agricultural environmental condition is needed to growth the plant will be better, so it will improve the quality and quantity of agricultural products. The way of monitor environmental conditions periodically is an acquisition data system. The system requires minimum of two nodes, namely sensor nodes and gateways. Sensor node has function to put the data from the sensor and transmit it to the gateway, while the gateway receives the data and store it. Beside that a communication protocol is needed to connect both of nodes and to transmit the data wirelessly to remote monitoring, which one of it is LoRa. LoRa is a technology which has a wide range with low battery consumption, so it is suitable for monitoring agriculture in Indonesia, which is known as an agricultural country because of the wide area of agricultural land. There are two tests had been done, that are functional testing and performance testing. In the functional testing, the system can run properly where the system can put the till save it. The performance testing was hold to see the performance of the LoRa HopeRF-RFM9x module based on packet loss and delay with the influence of distance, packet size, and interval of delivery time. The result of the performance is the HopeRF-RFM9x module can transmit the packets well for 200, 300 and 400 meters.
Klasifikasi Sinyal Otak Motor Imagery Menggunakan Extreme Learning Machine Dan Discrete Fourier Transform Fransiskus Cahyadi Putra Pranoto; Agus Wahyu Widodo; Muhammad Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The brain is the most important body organ that humans have to act as a process for all movements and thoughts in the human body. The brain emits a signal when doing an activity and can be captured by an interface device called brain computer interfaces. To stimulate brain signal activity a stimulus is used, namely an imagery motor. Imagery motors are representations of motor movements imagined by the brain. In this study using 3 datasets namely datasets that have been collected by researchers with muse devices with subjects numbering 20 and having an age range of 19-23 years, the second and third datasets are BCI Competition IIIA and IIIB which are publicly available at bbci.de. The BCI Competition IIIA and IIIB datasets will be used to compare the quality of the datasets collected by the researchers. Signal processing uses the Butterworth Filter Infinite Impulse Response method with a frequency range of 8 to 30 Hz. In this study a study was conducted on the implementation of feature extraction methods with the help of the Discrete Fourier Transform method and the classification of brain signals using the Extreme Learning Machine method that uses imagery motor stimuli. The results obtained were 44% accuracy for 5 classes, 85% and 90% for 2 classes using Muse datasets, 66.67% and 75% 4 classes using BCI Competition IIIA datasets and 93.33% 2 classes using BCI Competition IIIB datasets.
Prediksi Tingkat Pemahaman Siswa Dalam Materi Pelajaran Bahasa Indonesia Menggunakan Naive Bayes Dengan Seleksi Fitur Information Gain Siti Utami Fhylayli; Budi Darma Setiawan; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesian Language Subjects are generally regarded as easy lessons and do not need to be studied by students and society. Based on this, various learning problems arose involving instructors, Indonesian language subjects, students who received lessons, teaching methods, facilities, ways to obtain, and the objectives of Indonesian language learning (Moeljono, 1989). The difference between each student in different learning differences. This causes the teacher to have limitations in measuring the level of understanding of students. Then a system is needed to predict the level of understanding of students. This prediction uses the classification method with the Naive Bayes algorithm. The class that will be used in this study is that students understand, are quite understanding and lack understanding. In this study, the authors used the Information Gain (IG) feature selection. The selected feature will be processed with the Naive Bayes classification algorithm, then the accuracy will be seen if it is not maximized, then the previous feature selection process will be done again to get the desired verification. From the tests that have been conducted, the results obtained which have a Gain value of more than 0.2 have the largest rating, reaching 90%. The features chosen from 17 included features of family members, residence status, mother's work, caregivers, family support, joining extracurricular activities, repeating lessons at home, length of study at home, reading at home, reading time at home.
Temu Kembali Citra Makanan Menggunakan Ekstraksi Fitur Gray Level Co-occurrence Matrix dan CIE L*a*b* Color Moments Untuk Pencarian Resep Masakan Ahmad Fauzi Ahsani; Yuita Arum Sari; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Recipes retrieval is an important thing in this technological era. Many people use search engine to find preferred food recipes. However, most people still use text query to search. Query text have many disadvantages, one of them is the lack of representation of food object because each person will be different in describing food. This problem can be solved if given query is an image of the food itself. This technique commonly referred as Content Based Image Retrieval. This study proposes image retrieval for cooking recipe searching using Gray Level Co-occurrence Matrix (GLCM) as a texture feature extraction method and CIE L*a*b* Color Moments as a color feature extraction method. The result of this study indicate that the MAP value is 97,604% when using combination of texture and color features, Minkowski distance algorithm and k = 10 with 1303 images of data training and 31 images of data testing. Based on these results, it can be concluded that GLCM and CIE L*a*b* color moments can be used on food image retrieval for searching cooking recipes.

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