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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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Pengembangan Sistem Nota Dinas Elektronik dengan Tanda Tangan Elektronik Studi Kasus PT Andal Rancang Multi Solusi (Arm Solusi) Kukuh Fajar Ribawanto; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Andal Rancang Multi Solusi (ARM Solusi) is a technology company that is working on improving its service products, namely Coofis NDE (Collaboration Office Nota Dinas Elektronik). Coofis NDE has features to compose and send letters, receive incoming letters, and dispositions. Some things are less efficient when making letters have to save before seeing the results. It can cause repetition in fixing the letter if the results are not correct. The system also does not have feature electronic signatures, so it is incomplete in accelerating the process of validating result letters. From these problems, this research will try to overcome them. This research uses the waterfall model method. The design phase produces sequence diagrams, class diagrams, physical data models, and low-fidelity interface designs. The implementation phase uses the Angular framework for the front-end and Django for the back-end. For the testing phase, do compatibility testing from the browser side, validation testing, and User Acceptance Testing (UAT). Compatibility testing concluded that the system is still not completely secure in some browsers because of a CSS support problem. The results of the validation test get a value of 100% valid from 28 test cases. In the UAT test, the average result is 92% acceptance index from 5 samples of system users, which means that the system development is very well received.
Analisis Perbandingan Performa Algoritme Pendeteksi QRS Kompleks Terhadap Sinyal Elektrokardiogram Penderita Aritmia Fikriza Ilham Prasetyo; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Heart disease is the number one cause of death in the world. Knowing the physiological condition of the heart is important to prevent and treat heart disease. The QRS point is a feature on the ECG signal that can be used to retrieve clinical data from cardiac signals. With the detection of QRS points, other components of the ECG signal can be found such as P, T waves, RR intervals, PR and others where these features are very important to know the physiological condition of a person's heart. This study was conducted to compare three QRS point detection algorithm performances, namely the Pan-Tompkins (PT), Stationary Wavelet Transform (SWT), and Adaptive Threshold (AT) algorithms in detecting QRS points on the ECG signal of patients with Premature Ventricula Contractions disease. (PVC), Premature Atrial Contractions, and Atrial Fibrillations (AFIB). The percentage of accuracy tests of the PT, SWT, and AT algorithms for PVC disease were 80.35%, 86.04%, and 62.66%, respectively. In PAC disease, it was 93.20%, 92.08%, and 84.89%. While testing for AFIB disease was 87.21%, 86.35%, and 69.1%, respectively. The PT algorithm is able to detect QRS points in PVC, PAC, and AFIB diseases with an average time of 0.726 while the SWT and AT algorithms are 0.714 and 0.709 seconds, respectively. The memory allocation used by the three algorithms to process PVC, PAC, and AFIB disease signals as a whole is 173.71 MB for PT, 174.74 MB for SWT, and 173.55 MB for the AT algorithm. Based on these results, the SWT algorithm is the best algorithm among the other three, although the results of the computational time and memory usage test are second and third.
Sistem Deteksi Pencemaran Gas Beracun CO, HC, NOx dalam Ruangan Tertutup dengan Metode Support Vector Machine Fauzan Rivaldi; Rizal Maulana; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Burned fossil fuels from machines, especially vehicles, will release toxic gases which are harmful to human, even these toxic gases are colorless and odorless which makes them hard to be recognized by humans. Therefore, a research of detection system on toxic gas pollution caused by burned fuels is needed, by utilizing Occupational Safety and Health Association (OSHA) as a main reference to determine and classify the result of gas detection as a safe or dangerous condition according to their PPM level. There are 3 types of toxic gas detected in the system, first is Hydrocarbon (HC) gas detection using MQ-2 sensor, then Carbon Monoxide (CO) gas using MQ-7 sensor, and the last is detection of Nitrogen Oxide (NOx) gas with the MQ-135 sensor. The system is based on an ESP32 microcontroller using Support Vector Machine (SVM) as the classification method to classify the detection results from the MQ gas sensor. There are 60 training data which are taken from MQ gas sensor detection, and divided into 2 types of data, the first 30 data classified as safe condition, and the next 30 data classified as dangerous condition. The performance and accuracy test of the system uses 30 testing data which are also divided into 2 types, the first 15 data taken from a safe condition, and the next 15 data are taken on a dangerous condition. The detection and classification results, as an output, will be displayed on the LCD screen followed with a buzzer alarm sound if the SVM result is on a dangerous class. The accuracy obtained from the SVM classification test is 87%.
Penerapan Rest API dalam Pengembangan Sistem Informasi Sayur Online Kediri berbasis Web dan Mobile (Studi Kasus: Sayuraya Kediri) Sandi Dewo Rahmadianto; Bayu Rahayudi; Buce Trias Hanggara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sayuraya is a startup located in Kediri City that provides online kitchen needs. There are several problems with Sayuraya's operations. The first is that the transaction recording process is still done manually so that it is possible for human errors to occur in the recording process. The second problem is that the management system is still done manually which takes a long time and is at risk of errors. The information system to be developed uses the RAD (Rapid Application Development) method. The study begins with a needs analysis interview with the vegetable owner. Furthermore, a design will be carried out based on a needs analysis. After the design is approved, it is then implemented in the form of coding. In the implementation process, a management web was created that would be used for the vegetable company, as well as a mobile application that would be used for the vegetable customer. And use the REST API for communication between mobile applications with the server. The last stage is testing. The first test is black-box testing, in this test, 18 functional requirements have been made, and the results are all functions run correctly. The second test was carried out using the Usability method by using the System Usability Scale, in this test the questionnaire was distributed to 6 respondents, 5 were customers and 1 was the vegetable owner. from the test results get a value of 77.08.
Pengembangan Game Quiz dengan Kontrol Suara Menggunakan Framework DPE sebagai Media Pembelajaran Interaktif Bahasa Inggris Bayu Reza Gunawan; Komang Candra Brata; Adam Hendra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

English is an international language used by many countries as a second language after the mother tongue. Based on observations of some first grade and second grade students of public elementary schools in Magetan in learning English, there are problems regarding motivation and difficulty in learning vocabulary. Interactive learning media through an educational game to answer these problems. An educational game is a game that applies the learning aspects delivered to the player while maintaining the game is fun aspect. Educational games aim to foster children's interest and motivation to learn the subject matter. Speech Recognition is a technical development that allows a system to receive an input in the form of a spoken word. This method is utilised in the application of voice control in educational games such as quiz games in answering questions. To design educational games that are useful and fun, game design applies the Design, Play, Experience Framework. Experience performance is measured through testing using Play Testing and Game Experience Questionnaire (GEQ). The test results from 35 respondents show that the game is fun and useful with low negative experience, fatigue, and disorientation. Overall with a score of 4.31 out of 5, players found the game enjoyable. Methodological performance, whether the game can help improve learning, was measured through post-test only design testing. The test results showed a 5% increase in success.
Rancang Bangun Sistem Pendeteksi Central Sleep Apnea menggunakan K-NN berbasis Arduino Bluetooth Module Qonita Luthfiyani; Edita Rosana Widasari; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sleep apnea is a major problem with sleep disorders that cause partial or complete cessation of breathing during sleep. Detection of Central sleep apnea disease is considered important because this condition causes the body difficulty breathing in a short time at bedtime which will wake up the patient's sleep so that it will be difficult to sleep well and experience excessive drowsiness during the day. The National Sleep Foundation (NSF) suggests that about 20 percent of people experience excessive daytime sleepiness, which is caused by a person not getting enough sleep. However, central sleep apnea screening with polysomnography is ineffective because it requires a lot of sensors and must go to the hospital. The goal of the study was to create a system that could effectively detect central sleep apnea using recording physical activity only from the heart with ECG signals connected to a smartphone with bluetooth because people with Central sleep apnea correlate with cardiovascular disease. The system uses arduino UNO, ECG AD8232 sensor to record ECG signals, and HC-05 bluetooth module for wireless communication with smartphones. The system detects by taking the signal through the electrode then the signal result will be extracted using the RR interval feature and QRS duration and classified using the K-NN method. The results of the classification display are displayed on LCD and smartphone via bluetooth. The results shown are in the form of classes "Normal" or "Central sleep apnea". The resulting accuracy in testing with K-NN was 83.33% and the average K-NN compute time was 78,7 ms.
Perancangan User Experience Aplikasi Mobile Fitur Send Your Waste menggunakan Pendekatan Design Thinking (Studi Kasus: Waste4Change) Ramadhani Imam Khoiri; Agi Putra Kharisma; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Waste4Change is a company that focuses on solving waste problems, starting from the education process to managing it so that waste does not go into landfills. Waste4Change has a feature, namely SYW (Send Your Waste) which functions to manage several types of waste so that they are not disposed of directly into landfills. Waste4Change wants to make an application from the Send Your Waste feature that can make it easier for users to use the system with a good flow. From these problems, an application was designed from the Send Your Waste feature to make it easier for users to send their waste to Waste4Change. This study uses a Design Thinking approach. The evaluation stage is carried out by testing the design results using usability testing with 5 respondents who produce a score of 85% on effectiveness testing, 0.094 goals/second on efficiency testing, and 85.5 on user satisfaction testing. The next test was the User Experience Question (UEQ) which was tested twice. The first test is with 5 respondents who get excellent results on all scales and the second test is with 15 respondents who get excellent results in almost all aspects, except on the perspicuity scale.
Klasifikasi Jamur Dapat Dimakan atau Beracun Menggunakan Naive Bayes dan Seleksi Fitur berbasis Association Rule Mining Muhammad Rafif Al Aziz; Muhammad Tanzil Furqon; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mushrooms are food commodities that are nutritious for the body. Even mushrooms can be a cure for certain diseases. But not all types of mushrooms are nutritious for the body, there are types of mushrooms that can even be bad for the body or toxic. Therefore the classification of edible and poisonous mushrooms is very important in order to be able to consume the right mushrooms. The classification method used to classify edible or poisonous mushrooms is Naive Bayes with feature selection based on Association Rule. Prior to classification using Naive Bayes, an Association Rule-based feature selection is performed by selecting features in the rule that meet minimum support and minimum confidence. The best accuracy result of mushrooms classification with Naive Bayes and feature selection is 95% with one selected feature. Meanwhile, the seven selected features produce an accuracy of 94%. If without feature selection the resulting accuracy is 95%. Although the accuracy with feature selection is not better than without feature selection, by using feature selection the computational performance of the model becomes more efficient and accuracy only decreases by 1%. This means that feature selection based on Association Rule and classification using Naive Bayes is successful in classifying mushrooms.
Pengembangan Penerimaan Peserta Didik Baru berbasis Website dengan Menggunakan Metode Waterfall (Studi Kasus SLBN 1 Palangka Raya) Bayu Eka Daman Puri Widodo; Satrio Agung Wicaksono; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SLBN 1 Palangka Raya is a school that follows technological developments to date. To keep up with current technological developments, the school has developed a website-based media to facilitate the management of new students who register at SLBN 1 Palangka Raya. Website development was developed using the waterfall method, which was chosen because the development process is easy to manage and the steps are systematic. The development process in research begins with interviews, to find out what the needs of the new student admissions website will be. The data obtained in the next step is used to develop the next stage of the process, namely activity diagrams, sequence diagrams, class diagrams, and interface design. The implementation phase is where the algorithm is implemented according to the requirements analysis and design developed previously. The last step is testing with BlackBox testing and user acceptance testing methods used. From the results of testing the system using BlackBox testing which was tested with 29 test cases carried out using two user accounts, namely admin and students, the results of the system that was made could run well according to the needs and functionalities that had been designed at the planning stage. The PPDB website that has been implemented has also been tested for user acceptance by giving a questionnaire to get appropriate results from three criteria, namely Functional Correctness, and Completeness, usability, and Data Conversion, which is given to the new student admissions committee as admin, and also to prospective students who represented by one of the new students at SLBN 1 Palangka Raya. The results obtained from the user acceptance test, the answers to all questions get a percentage of 100% to agree which of the users, namely admin and students answered "YES" in the distributed questionnaire, it can be concluded that these results make the system well received and used by users.
Analisis Implementasi Fuzzy-Dijkstra untuk Pencarian Rute Optimal pada Wireless Sensor Network menggunakan MATLAB Abirafdi Sukma Nazhifan; Mochammad Hannats Hanafi Ichsan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the science of computer network connections, network mapping makes use of a number of well-organized programs. However, regardless of the application, network mapping to identify the optimal path is still minimal. This is due to the fact that computer network designers often ignore the idea that data transmission is accelerated and unnecessary delays can be avoided by choosing the optimal path on the network. This study discusses finding the optimal route by combining the Fuzzy Sugeno logic method and the Dijkstra algorithm in the Wireless Sensor Network (WSN). Sugeno's Fuzzy Algorithm is an algorithm that analyzes input, evaluates a number of possible paths and produces solutions. Dijkstra's algorithm works by relying on the weights issued by Fuzzy Sugeno which has iterations to find the point whose distance from the starting point is the shortest. This study is intended to determine the results of data visualization in MATLAB, the optimal route that can be generated, and the distance used by this Fuzzy-Dijkstra algorithm. From this research, data obtained from experiments with nodes 10 to 1000 on distance and QOS parameters in the form of throughput, packet loss, delay. Based on the results of the study, it can be concluded that the Fuzzy Sugeno algorithm is good at determining the optimal route from nodes that have been plotted randomly and have been given a weighted QOS value that is in accordance with the TIPHON parameter assessment standard.

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