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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 6,945 Documents
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Analisis Sentimen Masyarakat Indonesia tentang Vaksin Covid-19 di Twitter dengan menggunakan Metode K-Nearest Neighbors dan Seleksi Fitur Chi Square Ksatria Bhuana; Indriati Indriati; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The disease outbreak caused by the corona virus (2019-nCov) or commonly called COVID-19 is an outbreak of a disease that causes infection in the lungs. The topic of the COVID-19 vaccine has become a hot topic of discussion for the majority of Indonesian people. One of the biggest social media platforms, Twitter, has become a place for the aspirations of the Indonesian people to express their opinions regarding the COVID-19 vaccine. Therefore, a sentiment analysis system is needed to examine polarities of publics response and to facilitate the data analysis process. The data analyzed comes from the opinion of the Indonesian people on Twitter as many as 1482 tweets with the distribution of training data totaling 1185 and test data totaling 297. The data will then be grouped based on 3 sentiment classes there are negative sentiment class, neutral sentiment, and positive sentiment. Before starting sentiment analysis process, the data set used will be preprocessed including case folding, cleaning, tokenizing, filtering, and stemming. Furthermore, chi square feature selection is applied to eliminate unimportant features or terms, then proceed with TF-IDF weighting. After weighting the TF-IDF, then calculating the cosine similarity, and for the last stage, applying the KNN method approach to find the classification results. The results of the confusion matrix evaluation produce accuracy with a value of 88.5522%, precision with a value of 88.18%, recall with a value of 89.95%, and f-measure with a value of 89.05%.
Analisis Faktor Yang Dapat Menyebabkan Terjadinya Technostress pada Karyawan Rahadian Fitra Syakura; Diah Priharsari; Andi Reza Perdanakusuma
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technostress is one of the negative effects experienced by individuals due to the use of technology defined as a disease of modern adaptation caused by the inability to cope with new computer technology healthily. The negative effects of the use of this technology are also felt by employees caused by the use of information technology well and its use is increasing due to the Covid-19 pandemic. Workers who are supposed to come to the office and meet with colleagues are required to convert all their activities through communication software. The use of technology is needed to support work during the current pandemic, but this trend is becoming a new thing for some people. If employees experience technostress, their performance will decrease and employees cannot complete their work well. The Study objectives were to know the factors that can cause technostress in employees and how to reduce technostress from the individual side of the employee. Data collection is done qualitatively to employees of an organization by conducting semi-structured interviews. Data obtained from interview results are analyzed using thematic analysis methods. There are six stages in thematic analysis, including understanding data, data coding, finding themes, reviewing themes, defining and naming themes, and creating analytical results. The results of this study of employees of an organization experienced five technostress factors. The study also discusses how individuals deal with technostress in employees, namely self-efficacy and mindfulness.
Implementasi Monitoring Platform untuk Microservice Architecture menggunakan Elastic Stack (Studi Kasus : Alterra Indonesia) Khabban Sayyidi Razin Surya; Adhitya Bhawiyuga; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Microservice architecture is one of the architectures that can be used in software development, by making every business process in the application into a microservice. Microservices have advantages such as easy scalability, extensibility with different technologies, and increased software agility. However, in developing using microservices there are challenges regarding how to know the behavior of each running microservice, this challenge is felt when there are too many microservices running. The monitoring platform is the answer to these challenges, the monitoring platform will help to provide visibility to the running microservices. The monitoring platform will help show the workload of each microservice, incoming and outgoing network packets, and record event logs for each microservice. As the number of running microservices grows, new challenges will emerge for the monitoring platform. The monitoring platform must be able to receive data from various microservices with various forms of data. The researcher tries to solve this problem by implementing a monitoring platform for microservice architecture using elastic stack. This monitoring platform will be built on several servers with elastic stack components installed and each server has its own function. The monitoring platform will centralize all microservices data on a single platform, and the platform provides a single dashboard to unify the performance of all microservices without the need to move to another dashboard. To ensure this platform can receive a lot of data from all microservices and can always be accessed at any time, several tests were carried out. Fault tolerance testing to ensure the platform will continue to run even if one server is down. Load balancer testing will be carried out to ensure that the platform load is evenly distributed on each server. snapshot and restore to ensure data is stored for a long time, latency testing to ensure data sent to the elastic stack does not take a long time, and lastly is confidential testing to ensure only authorized users can ensure certain monitoring data.
Perancangan Antarmuka Pengguna Sistem Informasi Penjualan dan Inventori Barang pada Bagoplek menggunakan Goal-Directed Design Erwin Wijayanto; Hanifah Muslimah Az-Zahra; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, the development of technology has impacted business sector. Management information systems is highly needed for managing day-to-day business operation and websites used for increasing sales. Bagoplek has been running its day-to-day business manually, e.g. managing raw materials and ordering products. Therefore, several problems often appeared, such as: mismatched between the amount of stocks in the warehouse and delayed ordering the products due to the manual process. The aim of this research is to design an inventory information system to manage its stocks and design a website for online purchase so company could track the purchase record automatically. The methodology used in this study is the Goal-Directed Design. This method involves several processes, which are: gathering data of the potential users, describing business process models and system requirements specifications, creating a design framework. The result of this solution will be High-Fidelity Prototype design. The researcher will be using Usability Testing and System Usability Scale to test how user-friendly the solution design is and to measure usability based on acceptable score obtained by the solution design. The results contain several functional and non-functional inputs and the measurements' results using SUS got 69.13 for the inventory information system and 68.50 for the website, it shows that the design can be included in Marginal High and categorized as a good design.
Perancangan dan Pengembangan User Experience Sistem Penilaian Karyawan 360 Derajat PT. Kaltim Daya Mandiri Humfrey Prasetyo Rapri; Retno Indah Rokhmawati; Buce Trias Hanggara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Kaltim Daya Mandiri has a total of 109 employees who are managed by the HRD department. Of course, every employee must be assessed to maintain their performance, which always increases every year. Therefore, the HRD department uses the 360 method of employee appraisal. To increase the effectiveness of employee appraisals, it is necessary to design a 360 employee appraisal website. In this project, the author's team chose to use the Design thinking method because this method focuses the user in the design process according to the needs of the customer. PT Kaltim Daya Mandiri which also focuses on its users. In the Design thinking method there are five stages, namely; Empathize (empathy), Define (determination), Ideate, Prototype, and Testing with cognitive walkthrough methods. This study resulted in a high-fidelity prototype based on an assessment using a cognitive walkthrough, on the HRD dashboard page every second the respondent takes an average completion time of 1545.3 seconds with success rate 94% and on the assessment dashboard page every second the respondent takes an average completion time of 512.5 seconds with success rate 60% from each second given task scenario.
Prediksi Harga Beras menggunakan Metode Least Square Brillian Ghulam Ash Shidiq; Muhammad Tanzil Furqon; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Basic ingredients are something that must be fulfilled in order to support the survival of all humans, one of the main ingredients is rice. Rice is a major commodity of staples needed by humans in several countries in the world. As a result, if the price of the staple food of rice experiences erratic price fluctuations (fluctuations) which can cause a reduction in the purchasing power of people with low incomes, the rice mills stop operating to avoid losses. Therefore, to avoid and reduce the risk of food security problems in the future, we need a system that can be able to predict the prices of rice so that it can help reduce the risk of loss and can ensure that rice prices can be reached by the wider community. In making this system, of course, a periodic data method (time series) is needed that can process real data in order to predict the price of rice staples correctly. In this study the method used is the Least Square method. This method can predict rice prices by using data in the past to be used as forecasting guidelines in the future. From the prediction results, the smallest error search calculation (error) is carried out using MAPE (Mean Absolute Percentage Error). The data used in this study were 132 data. Which consists of 132 training data and 12 test data the latest data. After the prediction process is carried out the result from the prediction prices of rice for 12 months in 2021 are obtained. The results of the prediction of rice prices for 12 months in 2021 are obtained. The test results from this prediction are in the form of the smallest error value (error) which is considered very good in accuracy to predict rice prices using the least square method, which is 5%.
Deteksi Tangga Naik dan Turunan untuk Notifikasi Keamanan pada Tunanetra menggunakan YOLO Versi 4 berbasis Jetson Nano B01 Muhammad Nazrenda Ramadhan; Fitri Utaminingrum; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blind people currently use The White Cane to help with their daily activities. However, The White Cane has a drawback where its detection range is limited to the length of the cane. In addition, The White Cane cannot distinguish objects that are in front of blind people. This study aims to develop a Jetson Nano B01-based system that can detect floors and stairs, both going up and down to assist the activities of blind people. With the help of artificial intelligence, this system is expected to be able to notify blind people that there is a stair in front of them by activate a buzzer. Then, to be able to produce the right stair detection, pattern recognition is needed with the You Only Look Once (YOLO) method which has a fast detection speed. When the stairs are identified, the system will give a notification in the form of a buzzer sound to notify that there is a stair ahead. The tests carried out, obtained the results of the classification accuracy of object detection (Floor, Upstairs, and Downstairs) of 90%, the average computation time of 0.177s, and the integration accuracy of YOLOv4 detection with a buzzer of 100%.
Rancang Bangun Sistem Klasifikasi Tipe Permukaan Jalan menggunakan Gray Level Co-Occurrence Matrix (GLCM) dan Support Vector Machine (SVM) berbasis Raspberry Pi Akbar Wira Bramantya; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Roads are a pathways made to facilitate traffic access from one place to another. Indonesia has a roads as far as 537.838 km. However, all of these road didn't have same condition, there are still many road in bad condition. On the other side, our current transportation is just evolve to the Smart Car era, where this technology focuses on autonomous driving systems and driver safety. Therefore, needed a system that can overcome these various road conditions. So, in this research will do a testing using Gray Level Co-Occurrence Matrix (GLCM) and Support Vector Machine (SVM) to classify the roads are in asphalt condition, rocky condition, or paved condition. The GLCM feature used in this research is the best 4 features from total 6 features to be tested namely dissimilarity, correlation, homogeneity, contrast, ASM, and energy. This test is started using SVM linear kernel, polynomial kernel, and RBF kernel, the value of d = 1, and value of θ = 0o, 45o, 90o, 135o. After all of these tests, the best result were obtained. They are GLCM using dissimilarity, correlation, contrast, and energy features, the value of d = 1, and combination from all of angles, angle 0o, 45o, 90o, 135o simultaneously also for SVM using linear kernel. The accuracy obtained from this combination reaches 97% in SVM training set and 98,3% in manual testing using test data. System integration testing using camera input got 88,6% in accuracy and system integration testing on electric motors performance got 87% in accuracy.
Implementasi Modifikasi Penggunaan Energi Protokol Routing SPIN pada Wireless Sensor Network Antarif Ekadhia Cahyadi; Primantara Hari Trisnawan; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Sensor Network (WSN) is a collection of sensor nodes with limited energy resources that are distributed in a certain area so as to create a network architecture that is connected to each other. With the limited energy resources available at each node, it becomes a challenge for the implementation of the architecture. In an effort to save energy, one of the ongoing studies is to make WSN devices last a long time. One of the efforts to save energy is to choose a routing protocol that can save energy. One of the protocols developed by experts based on meta-data for ideal lossless networks is the Sensor Protocol for Information via Negotiation (SPIN) protocol. However, the SPIN protocol itself still has problems that the protocol has not been able to solve. One way to solve this problem is to modify the SPIN protocol itself. Modifying the protocol is expected to extend the lifetime of a node, by applying randomized packet dropping modifications to the SPIN routing algorithm and using energy detection in the OMNET++ simulation program so that it can save energy consumption and extend the active life of nodes. In this study, the results achieved to extend the lifetime of a small number of nodes, while the larger the number of nodes the energy difference becomes less different.
Pengembangan Sistem Informasi Web MTFSales menggunakan Teknologi ReactJS dan Geolocation untuk Memantau Kinerja Karyawan Sales (Studi Kasus: Mandiri Tunas Finance) Aditya Dwi Wicaksono; Buce Trias Hanggara; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In sales activities, sales employees have an important role because their main job is to sell company products or services to buyers. For this reason, it is necessary to maintain several dominant factors that can affect the performance of a sales employee, such as discipline, motivation, and responsibility. In this digital era, technology can be used as a tool to monitor employee performance. One company that needs this technology is Mandiri Tunas Finance (MTF). Therefore, the researcher developed an MTFSales information system to monitor the performance of sales employees with the aim of knowing the results of needs analysis, design, implementation, and testing of the MTFSales. In this development, the waterfall software development method is used, because all MTFSales requirements have been defined at the requirements analysis stage by brainstorming with stakeholders from MTF with the results of identifying 3 actors, 7 functional requirements, and 1 non-functional requirement. MTFSales is developed using ReactJS and assisted with geolocation technology to get user's location. From the results of the test using the system usability scale (SUS), 63,125 points were obtained, the SUS test was classified as Grade D, with an Adjective Rating of OK, and an Acceptability Range of marginal value. Based on the results of functional testing, the MTFSales web information system gets a success value of 100% of all the functionality that has been defined.

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