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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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Sistem Klasifikasi Diabetes Melitus Berdasarkan Kondisi Urin, Gas Buang Pernapasan, Dan Tekanan Darah Menggunakan Metode Naive Bayes Berbasis Arduino Dwi Fitriani; Rizal Maulana; Hurriyatul Fitriyah
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

Diabetes mellitus is a disease that attacks humans regardless of age. A person will have diabetes mellitus when blood sugar levels in the body increase, resulting in reduced insulin in the body. Diabetes examination can be done using a blood sugar test tool using a blood sample taken from a person's fingers. Examination in this way causes pain and discomfort. With this problem, this study aims to create a system that can be used to detect a person without using blood samples (non-invasive), saving time and costs in the examination. In the study of diabetes mellitus detection system using parameters of urine condition, respiratory exhaust gas and blood pressure. The conditions used are ammonia gas levels in human urine, respiratory exhaust gases used are acetone gas levels from human breath and human blood pressure. Data processing is carried out using arduino uno microcontroller. The data was obtained from the output sensors MQ-135, TGS-822 and MPX5700AP sensors. From the test results obtained the correlation value of sensors MQ-135 and TGS-822 with the output voltage of 99.29% and 98.56%, while for the sensor MPX5700AP known percentage of errors sistole and diastole by 8.90% and 4.64%. The system classifies diabetes mellitus using the Naive Bayes method. It uses 12 test data and 24 training data to determine the accuracy of Naive Bayes classification. Of the 12 test data there is 1 data whose class is not appropriate so that the accuracy value becomes 91.67%. Meanwhile, the average compute time of the system obtained in 10 tests is 1.02 seconds.
Implementasi Pengiriman Data Secara Nirkabel pada Palang Pintu Sungai untuk Mitigasi Bencana Banjir berbasis nRF24L01 Yusriansyah Shohibul Hamzah; Mochammad Hannats Hanafi Ichsan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Flooding is still a difficult problem to solve, especially in big cities, especially during the rainy season. At the peak of the rain with high rainfall, the river is difficult to fill the large water discharge. For development of river water flow that has more water discharge, sluice gates are used to build the discharge in the river flow. By using a doorstop that is connected wirelessly to minimize flooding, so that the air can be controlled with the communication system between the latches properly. The mechanism used is to send sensor data to Arduino mega2560 as a microcontroller with nRF2L01 as the sender, using fuzzy logic to determine the latch opening of the river floodgates, and Simple Additive Weighting to see rainfall and received by Arduino nano which has nrf24l01 as a receipients where the average error percentage is 0,12%. The results obtained for calculating the rain sensor module when tested are in accordance with the conditions and output. And for the water level there is a sensor difference of 0.1375%.
Pengenalan Karakter Kode Peti Kemas dengan Memanfaatkan Haar Wavelet sebagai Metode Ekstraksi Ciri Putu Satya Cahyani; Muh. Arif Rahman; Agus Wahyu Widodo
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

Untuk dipublikasikan di Knowledge Engineering and Data Science (KEDS)
Pengembangan Website Toko Online Baju Bekas (Studi Kasus : Toko Gudang Jumat) Bagas Rayi Prabowo; Issa Arwani; Bondan Sapta Prakoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Toko Gudang Jum'at is a place to sell used clothes or more commonly known as a thrift shop. Currently, the Toko Gudang Jum'at does not have a physical store and only promotes its sales through Instagram social media. To assist the transaction process and also the promotion of Toko Gudang Jum'at itself, an online store website was developed that can assist in the transaction process and promotion. The website development carried out is expected to help customers to be able to recognize and make transactions with Toko Gudang Jum'at. The development of the admin dashboard system will also be carried out to make it easier for Toko Gudang Jum'at to manage the products they sold and monitor order reports and also transactions on the Toko Gudang Jum'at website. System development will start from the needs analysis process carried out using the interview method with Toko Gudang Jum'at, followed by the design stage to design the system in the form of diagrams such as class diagrams, sequence diagrams, and physical data modeling. Implementation is done by creating a website using the Laravel framework for the backend or dashboard admin page and Vue JS for the frontend or customer page. The two systems will be connected by a RESTful Web Service for the data exchange process. The results of the system implementation were tested with 3 types of tests, namely, REST API testing using the Postman application, black box testing, and usability testing using a usability testing system which was carried out on 5 respondents. The results of black box testing for all functional indicate valid status. Usability testing using the usability testing system shows an average rating of 77.5. According to the general guidelines on the interpretation of the SUS score, the score is grade B, which means the system can be used properly.
Implementasi Self-Tuning Pada Database Dengan Menggunakan Metode Nesterov Accelerated Gradient Arif Rahmanto; Agung Setia Budi; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tuning is the process of improving the performance of the database to achieve specific goals.. With the tuning process that is usually done by a database administrator still manually, the more time it takes for the database to be ready for use. For this reason, a system is designed to perform the automatic tuning of the database using the Nesterov accelerated gradient algorithm to change the value of the parameters that can improve database performance. The system is implemented in MariaDB database as the main database. Tests are carried out to change the previously set parameter values and the optimal parameter values are obtained after the 7th iteration. When testing the performance of the database with a large load, the database is able to significantly reduce the query time between before and after tuning. In the query load data of 1,000,000 database rows, there is a difference in the average execution time between before and after tuning with the Nesterov accelerated gradient algorithm of 1 minute 35 seconds. Whereas in the query load data 1,500,000 Row the average decrease in execution time is 14 minutes 26 seconds. From the test, it can also be concluded that the execution time is stable after the tuning process is carried out with the Nesterov Accelerated Gradient with the required execution time ranging from 24-45 seconds on testing load data of 1,000,000 rows and 75-120 seconds on testing load data of 1,500,000 rows.
Pemanfaatan Spark untuk Analisis Sentimen Mengenai Netralitas Berita dalam Membahas Pemilu Presiden 2019 Menggunakan Metode Naive Bayes Classifier: Utilization of Spark for Sentiment Analysis Regarding News Neutrality for Discussing the 2019 Presidential Election Using the Naive Bayes Classifier Method Reza Aprilliana Fauzi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

An actual and neutral news is the hope of the public as the recipient of information to the news delivery media. Especially during the General Election in Indonesia, there are still news that are conveyed in a one side or not actual way. This also makes people still view that a lot of news has an element of partiality in providing information. Therefore, this study analyzes news sentiment from various news portals that discuss the 2019 Election in Indonesia. The data in this study were taken from various news portals and each news portal took 20 to 25 news stories, resulting in a large amount of data up to 100 data. This study using the Resilient Distributed Dataset (RDD) from the Spark platform as a data type in classifying news sentiments. The method used to classify the sentiment of a data (in this case is a news text) is the Naive Bayes Classifier method. Naive Bayes method has a good ability in classifying an unstructured big data, and has a simple model. This study uses the Confusion Matrix table as an evaluation table of the results of news sentiment classification, by calculating evaluation values such as accuracy, precision, recall, and F-Measure. Based on the various tests and scenarios that have been carried out, the best evaluation value is generated in the test using K-Fold Cross Validation with a value of K=10. In the 8th fraction (fold), the accuracy value is 100%, precision is 100%, recall is 100%. , and F-Measure of 100%.
Implementasi Time Division Duplex (TDD) pada Bluetooth Low Energy (BLE) dan Wi-Fi untuk Penjadwalan pada Sistem Monitoring Tanaman Aditya Hermawan; Mochammad Hannats Hanafi Ichsan; Rakhmadhany Primananda
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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Abstract

Wireless Sensor Network (WSN) consists of a number of small sensor nodes that are used to observe a phenomenon. Generally, a wireless sensor network is a sensor device that is connected to an embedded system or called an embedded sensor that can connect to the network and communicate with cloud servers. The device commonly used in WSN is ESP-32, which has BLE and Wi-Fi communication on a single frequency. The use of sending and receiving data at a single frequency allows the collision of sending and receiving signals that cause packet damage. This can be minimized by implementing an appropriate scheduling method. One of the scheduling methods commonly used is Time Division Duplex (TDD). The concept of TDD is to divide one frequency into several time slots, and then time slots will be allocated for receiving or sending data. Previous studies have successfully implemented TDD on large-scale mobile networks with 5G technology and implemented BLE for blood pressure monitoring. This study aims to design a gateway with TDD scheduling method. The test is carried out with a scenario of distance variation with parameters success ratio, discovery time, and delay. The variation in distance used is 1 meter to 13 meters. The success ratio parameter produces a success ratio of 84% at a distance of 1 meter and 0% at a distance of 13 meters. Then, the discovery time parameter obtained 2.36 seconds at a distance of 1 meter and 2.73 seconds at a distance of 10 meters. Finally, the delay parameters obtained an average delay of 1 second at a distance of 1 meter and 7.68 seconds at a distance of 10 meters.
Implementasi Web Server Dinamis berbasis Operating System-Level Virtualization menggunakan Docker Stack Verio Brika Sejahtera; 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

Untuk dipublikasikan di The 12th International Conference on Information Technology and Electrical Engineering (ICITEE) 2020
Analisis Faktor-Faktor yang Memengaruhi Penerimaan Teknologi Menggunakan Kuesioner Technology Acceptance Model (TAM) pada E-Learning Google Classroom di SMK Negeri 2 Kupang Herald Anwar Bhasarie; Retno Indah Rokhmawati; Hanifah Muslimah Az-Zahra
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

In this age, the use of technology is increasing, including internet usage. Internet make a lot of changes in many aspect of life, one of which is education. During the current pandemic, where teaching and learning process have to use e-learning. In general, e-learning that often use is Google Classroom. Location of this research are in SMK Negeri 2 Kupang. The purpose of this research is to find out he factors that support on the acceptance of technology at SMK Negeri 2 Kupang. The concept of this research are to analysis factor using technology acceptance model (TAM) questionnaire, which consists of 7 factors: complexity, self-efficacy, time limiting, usability, ease of use, intention and ease of use technology. Methodology that was used in this study, are by formulate hypotheses and path analysts to analyze the connection between factors. Based on the results of hypotheses and path analysts, can be concluded that factor of complexity, time constraints, ease of use, and intention affect ease of use, and self-efficacy has no effect on ease of use.
Pengembangan Sistem Manajemen Klinik Hewan Berbasis Web (Studi Kasus: Rakki Pet Clinic & Klinik Hewan UB) Fadel Muhammad Hasanuddin; Achmad Arwan; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Rakki Pet Clinic and UB Pet Clinic are two of many clinics located in malang. Some of their services are clinic, grooming, pet shop, and pet hotel. In a month, their patient can reach 350 to 500 patients. With this range of patients, Rakki Pet Clinic and UB Pet Clinic are still documenting their business processes manually, starting from patient registration, medical records, to recap of personnel activities. The manual documentation process will complicate the service process and will cause problems, for example in the search for scattered medical records, errors in writing medical records, patient registration, doctor appointments, and recap of personnel activities that do not match digitally recorded data. This can be detrimental to the time, effort, health and finances of all parts involved, from the animal itself, the owner of the animal, the owner of the clinic, to the paramedics. System development that utilizes web-based technology is a solution to these problems. This study aims to determine the system requirements, system design, and implementation of a web-based veterinary clinical management system developed using the waterfall method. The results of the needs analysis in this study obtained 50 functional systems and 5 actors who will be directly related to the system. Systems are tested using unit testing, integration testing, validation testing, and compatibility. All test results obtained are 100% valid, indicating the system is able to run as expected

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