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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
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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.
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Articles 6,923 Documents
Analisis Dampak Serangan Blackhole dan Jellyfish terhadap Protokol Routing Ad-Hoc on Demand Distance Vector (AODV) dengan Model Mobilitas Random pada VANET Muhamad Alfarisi; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this era, information technology is growing rapidly and applied to almost aspects of life, including transportation. One of the applied technologies is the Vehicular Ad-Hoc Network (VANET). VANET defines as a smart transportation system, where a vehicle communicates with other vehicles to exchange information and recognizes road conditions simultaneosly in real time. VANET network is an ad-hoc network that does not have a fixed infrastructure and a rapidly changing network topology. This makes VANET network security vulnerable to various attacks both from inside and outside the network. This paper is intended to explain several comparison analysis of the AODV routing protokol without any attacks, with Blackhole and Jellyfish attacks, and was carried out with various speed of the node, that contains 80, 100, 120, 150, 180, and 220 km/hour. This research is simulated using Network Simulator 2 to model the network and use random mobility on nodes. The analysis is reviewed by using QoS parameters, such as Packet Delivery Ratio, Throughput, and Delay. The results of the simulation shows that the scenario of changes in speed of the node affects the performance of the VANET network. In normal scenario without any attacks, the highest PDR value is 98.00%, the Throughput is 128.16 kbps and the Delay is 39.05 ms. In scenario with the Blackhole attacks, it shows the highest PDR value is 64.25%, the Throughput is 84.03 kbps and the Delay is 521.14 ms. Furthermore, there is a scenario with Jellyfish attack, the highest PDR value is 61.39%, Throughput is 80.28 kbps and Delay is 641.47 ms. This can be concluded that the addition of attacks on the AODV routing protokol can affect its performance, as evidenced by the decrease in QoS quality on the VANET network that has been built.
Evaluasi Kinerja Moodle E-learning pada Cluster Docker Swarm di Amazon Web Services Ahmad Aji Santoso; Adhitya Bhawiyuga; Reza Andria Siregar
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

E-learning is a new way to learning to use electronic media typically involving the internet. E-learning has several advantages where students can access subject matter at any time. One of the most popular e-learning applications is Moodle. In its implementation, Moodle can be done using moodlecloud, on-premise and self-hosted servers. The implementation of the service moodle e-learning in self-hosted or using cloud computing services would be ideal option. The advantages offered by cloud computing services are a strong consideration, where not required financing and do not need to spend in early financing server maintenance. Service selection and deployment model greatly affect the performance of the Moodle application and also the financing from resource used. Moodle requires a service with good performance to cope with the number of users who use it, this becomes a polemic for moodle e-learning service providers, which is how the ideal deployment model to implement moodle e-learning applications on cloud computing services with high levels of performance and scalability and also service financing used. The test is done by providing requests in the form of enrol activities, view courses and quiz on docker swarm clusters built on aws services ec2 t2.medium, t3.medium and t3a.medium services with user rates of 40, 80, 120. The test includes performance testing with test parameters, namely throughput, success ratio, latency, use of cpu and memory resources. Based on the results of testing and cluster analysis, ec2 t3.medium and t2.medium have good performance based on the throughput and latency test values for enrol activities, view courses and quizzes, based on the success ratio test scores, clusters on ec2 t2.medium have good performance with an error value of 0% on enrol activities, 0% on view course activities and 0.1% on quiz activities with 120 user requests.
Implementasi Algoritme Bellman-Ford dengan Logika Fuzzy untuk Pencarian Jalur pada Software Defined Network (SDN) Swasti Paramita; Primantara Hari Trisnawan; Fariz Andri Bakhtiar
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

Software Defined Network (SDN) is an architecture that is designed to make networking more flexible and manageable. In SDN, a program can be implemented, named routing. The process to determine lines of communication between sender to receiver to forward packets are called routing. The shortest path are determined using an algorithm called routing algorithm. Routing algorithm used in this paper is Bellman-Ford algorithm. Routing algorithm chooses a path based on the weight of the connected links. The weight on each links can be configured by the administrator to set all cost into “1” (Bellman-Ford with static cost). The link with lowest number of hops or highest bandwidth will selected, regardless of the traffic density from the link. In this study, the author made a system of implementation of Bellman-Ford algorithm with fuzzy logic. The weight of the link is obtained by calculations using fuzzy logic with traffic and delay as the parameters. Based on the result of routing test, the system has been able to determine a path search based on the weight of link with traffic and delay as the parameters. Based on result of throughput test, the Bellman-Ford algorithm with fuzzy logic has greater results compared to the Bellman-Ford algorithm with static cost. Based on result of the convergence time test, Bellman-Ford algorithm with static cost has best convergence time compared to the Bellman-Ford algorithm with fuzzy logic. Meanwhile based on packet loss test's result, the Bellman-Ford algorithm with static cost has the worst packet loss compared to the Bellman-Ford algorithm with fuzzy logic.
Pengembangan Sistem Pengiriman Data mengunakan LoRa Multipoint menggunakan Simple LoRa Protokol sebagai Kontrol Kebakaran Kandang Ayam Riksa Suta Adji; Heru Nurwarsito
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

The chicken coop environment is very dangerous in the event of a fire because the materials for making chicken coops are all combustible materials, besides the location of the chicken coop which is relatively far from residential areas, so a tool is needed that can contact the owner of the cage. In the event of a fire, the cage environment does not have supporting facilities to warn the chicken coop owner so that research is implemented to assist farmers in anticipating the event of a fire. Researchers make a plan for a tool that can provide early warning when the chicken coop detects a fire by utilizing network technology in the form of a gateway that is able to manage data and a link to be distributed to smart phones. Based on the research that has been done, it can be concluded as follows, the sensor node is able to retrieve temperature and smoke data that has been designed by implementing the LM35 sensor module and the MQ-2 sensor module with the NodeMCU intermediary, the sensor node used is good enough to be used in temperature data collection. and smoke. In the process of sending data packets using the LoRa communication module, it is able to run well by running two nodes as multipoints in the process of sending data from the sensor node to the gateway. In the process of sending messages from the gateway, it has been running well, as evidenced when the gateway receives a message from the sensor node, the message will be directly forwarded to the telegram application by displaying a message that there is a fire at point one and point two. On the performance of sending data packets with the parameters of packet loss, delay and jitter, the results show that sending using variations in the distance between the sensor node and the gateway is very influential. Based on the performance test parameters, the best value is obtained at a distance of 50 meters and the bad value is at a distance of 200 meters because it is known that the value of packet loss, delay value and jitter value is greater than at a distance of 50 meters. The performance of a system by utilizing the LoRa communication protocol greatly affects the distance used, the parameter value decreases when the distance used is greater.
Implementasi Metode K-Nearest Neighbor pada Purwarupa Jemuran Otomatis berdasarkan Sensor Hujan dan Intensitas Cahaya Pabela Purwa Wiyoga; Rizal Maulana; Agung Setia Budi
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

Indonesia, which has a tropical climate, gets sunshine all year round. It is very useful for people to dry household or industrial needs. Examples of industries that use sunlight are the production of crackers, salted fish, coffee, and unhulled rice and others. However, apart from getting the continuous heat of the sun, there is also rain that is present erratically. So leaving things outdoors will be risky, especially during the rainy season. Therefore, the researchers created a sun dry system that can be put outside automatically when the outdoor conditions are sunny and there is no rain, and inserted when the outdoor conditions are rainy or there is no sunlight. These conditions will be taken using a raindrop sensor and a light dependent resistor sensor. Arduino Nano as a microcontroller used to control sensors and actuators. To control the system using the K-Nearest Neighbors method. After testing, obtained good results. The best value of accuracy and computation time in using the K-Nearest Neighbors method is at k=3 with the average accuracy of 98% and the computation time is 37.173 microseconds. When compared with the if-else method, the if-else method has an accuracy value of 100% and a computation time of 13.232 microseconds. The K-Nearest Neighbor method is feasible to implement in this system, but a simple if-else method is more profitable due to better accuracy and simpler source code.
Analisis Sentimen pengguna Twitter terhadap Vaksinasi Sinovac dan AstraZeneca menggunakan Algoritma CART Rani Metivianis; Dian Eka Ratnawati; Bayu Rahayudi
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

The first case of Covid-19 appeared in Indonesia on March 2, 2020 which caused various diseases that interfere with the respiratory system in humans. With the Covid-19 prevention strategy by requiring the public to vaccinate. Vaccines are substances that form a weakened immune system and can form antibodies for those who have not been exposed to the COVID-19 virus. There are various kinds of vaccines in Indonesia, namely Sinovac, AstraZeneca, Prifzer-BioNtech, Moderna, Sinopharm, Johnson & Johnson, CaSino, Spuntnik V. In this study, two types of vaccines were widely discussed by netizens, namely Sinovac and AstraZeneca. Sinovac is the first vaccine in Indonesia which has become a national vaccination program, while the AstraZeneca vaccine is ranked second after the Sinovac vaccine which was discussed by netizens due to the halal-haram debate on the AstraZeneca vaccine. This study aims to analyze public opinion on the Sinovac vaccine and Astrazeneca vaccine in Indonesia. Analysis was carried out on 671 tweets related to the Sinovac vaccine and Astrazeneca vaccine using the Classification and Regression Tree (CART) algorithm. Based on the results of tests and analyzes that have been carried out, with a comparison of training data and test data of 80%:20% with precision, 77%, recall 75%, f1 score 76%, and accuracy 76%.
Pengembangan Sistem untuk Memonitoring Kondisi Fisiologi melalui Biometric (Suhu, Detak Jantung dan Kelembaban) Pengguna E-Learning berbasis Internet of Things (IoT) (Studi Kasus Coma) Yudi Muliawan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-learning is an alternative for the world of education where to increase the ease in the teaching and learning process, the aim is to determine the level of independence of students, success in understanding the material and the ability of students' communication techniques. Weak monitoring of student conditions and psychological factors are limitations in e-learning learning. The psychological side includes motivation, self-discipline and emotions, therefore it is necessary to develop a system to help monitor the condition of students in using e-learning. Data mining to see the physiological condition of students on the use of e-learning aims to determine school stress (source of stress from the educational environment) in a student. The development of the model used is the waterfall and object oriented (OO) approach. The system designed is able to display physiological conditions with parameters of body temperature, heart rate and also skin moisture. The system is implemented using the model view controller (MVC) concept with the help of the Laravel framework and the HTML, PHP and Javascript programming languages. The Internet of Things (IoT) devices used are ESP32, LM35 temperature sensor, pulse sensor, galvanic skin response (GSR) and use the Sukamoto fuzzy logic algorithm.
Pengembangan Aplikasi Percakapan Daring Pengelolaan Hubungan Pelanggan (Studi Kasus PT. Indi Platform Raksasa) Faris Nauval Abdurrahman; Adam Hendra Brata; Agi Putra Kharisma
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

In running its business PT. Indi Platform Raksasa use WhatsApp instant messaging application as a means of communication to its current customers or potential customers. There are 50 admins who accept orders and provide information services to customers. On one day each admin can receive 1500 to 2000 messages per day. To make it easier for admins to remember customer categories, a customer recording system was created using excel, but as the number of messages that come in every day grows, the recording process becomes less efficient and requires a lot of time and effort. In addition, the performance of each admin cannot be controlled because there is no tool to measure admins performance. In this research the author tries to apply the use of information systems to overcome some of the problems above. In developing an information system the author uses the waterfall method. From the results of the requirement gathering of customer online chat management application, there are 2 actors, also there are 21 functional requirements and 1 non-functional requirement. From the results of the requirement gathering, a system design is made that produces 9 classes on the backend and 2 classes on the front end, besides that there are 6 entities in the design of the data structure. In the testing of the developed system, the results of unit testing, integration testing, and validation testing are 100% valid, while the reliability test for the system got 1261 Minutes on the MTBF score.
Pengembangan Sistem Informasi Point of Sales berbasis Web menggunakan Framework Laravel (Studi Kasus: Meetup Station) Gladys Wahyu Khairunnisa; Issa Arwani; 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

Meetup Station is an SME that has operated in Tuban since 2020 and focuses on culinary business especially fast served food and beverages. In the present, they still use physical sharing books to record transactions and manage the accounting manually that leads to so much inconsistent data. To solve that problem, a point of sales system needs to be implemented to help manage and record transactions easily. The point of sales system will be developed using waterfall method, PHP Laravel 8 framework and PostgreSQL database. From the quality assurance test results, all functional requirements have been tested 100% valid and the system has been displayed well in 8 different browsers and responsive for many kinds of display such as PC monitor, tablet, and smartphone.
Pemanfaatan Teknologi Progressive Web Apps (PWA) dalam Pengembangan Sistem Penjualan Satelit berbasis Web (Studi Kasus : PT Pasifik Satelit Nusantara) Abi Dwijo Sukma; Tibyani Tibyani; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Pasifik Satelit Nusantara is an Indonesian telecommunications and information satellite company and operator. From PT Pasifik Satelit Nusantara, they already have a website that provides information on products & services being sold. However, the website is lacking in helping to make it easier for consumers to be interested in using the products & services provided by PT Pasifik Satelit Nusantara, because the way to access it by manually typing the website address makes users lazy to visit the website, and when the user is in a place with minimal network. , it will be slow loading. To overcome the obstacles that occur, assemble an online business site using the Waterfall technique complete with an order, customer and payment management framework. Not only that, it will be integrated using Midtrans, which is a payment gateway service provider, for automatic payment systems. The implementation of theisystem is builtiin the form of aiwebsite application with the help of the Laravel framework and will also be integrated with progressive web app technology which can be opened on various devices. System testing is done by blackbox.testing and usability.testing. Where in black-box.testing all test cases get valid status. Then the next test, namely usability, was carried out using the usability scale system and got an average of 69.5 in the acceptable category. Testing using Compatibility, the website can be run on various types of browsers. And the test uses Chrome DevTools to test service worker performance on progressive web apps running offline.

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