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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 60 Documents
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Search results for , issue "Vol 5 No 11 (2021): November 2021" : 60 Documents clear
Implementasi Hybrid Algoritma Genetika dan Simulated Annealing untuk Optimasi Nutrisi Makanan Atlet Endurance Shafira Eka Aulia Putri; Bayu Rahayudi; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Food is the main source of energy for humans. Sufficient energy can support the performance of daily activities, especially for athletes, such as endurance athletes. Endurance athlete sports activities have a long enough duration so they require a lot of energy. Therefore, the selection of food components for athletes every day can be one of the supporting factors in providing their best performance. The current research provides a solution in the form of recommendations for food ingredients in 1 day for endurance athletes by considering their nutritional needs using a hybrid genetic algorithm and simulated annealing method. The food ingredients component has a total of 125 data, consisting of staple foods, vegetables, animals, and complementary foods that have carbohydrates, proteins and fats in them. Recommendations are given in the form of chromosomal representation of 14 food ingredients consisting of 3 food packages. Based on the testing process, the optimal parameter has a population of 1000, 2000 generations, the combination of Cr = 0.1 and Mr = 0.9, T0 = 0.7, T = 0.5, alpha value = 0.2. The results of this study resulted in recommendations for food components by considering the nutritional needs of athletes within the tolerance limit of nutritional content, which is ±10% for endurance sports athletes.
Rekayasa Sistem Lampu Lalu Lintas berdasarkan Kepadatan Dua Persimpangan menggunakan Naive Bayes dan Komunikasi Soket Abdul Muiz Anggit Budiyantoyo; Eko Setiawan; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Congestion is a serious problem in this world. In Indonesia, congestion is a problem that always occurs every year. Congestion is caused by several factors, one of the causes of congestion is the ineffective and less optimal traffic light system that exists today. The current traffic light system often causes vehicles to accumulate in one of the sections that have a high level of vehicle density because the traffic lights on that section do not get the duration of the green light in accordance with the density of vehicles on that section. In addition to being caused by a high level of vehicle density, congestion in a segment is also caused by vehicles stopping on an active segment (green light) because they are waiting for a connecting link to a nearby intersection that is experiencing congestion so that vehicles cannot pass through the connecting segment. The system built by the author aims to optimize the current traffic light system to be more effective by providing a green light duration by considering the state of the density of vehicles on the section and also the density of vehicles on the section that connects the intersection with the surrounding intersection. This system uses a Raspberry Pi 4, TL LED light, and a Sumo Simulator running on a laptop. Roads and intersections are built and simulated using the Sumo Simulator. Naive Bayes is used to classify the Induction Loop Sensor data contained in the Sumo Simulator and predict the density level classes that exist on a road segment. The Raspberry Pi 4 will receive class prediction data that has been processed from a laptop using Socket Programming and will adjust the TL LED Light according to the data received. Tests are carried out on each segment that has been optimized using the system with an average accuracy of 91.66%. testing was also carried out using 3 different Route Trips with an average simulation result of 407 steps faster than the usual traffic light system. This system has an average execution time of 0.6057408571 seconds.
Rekomendasi Kelayakan Peminjam menggunakan Metode Fuzzy Tsukamoto Muh Hamim Fajar; Edy Santoso; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cooperatives is one of the business fields that offer savings and loans. To become a member of the cooperative or to make savings and loans a person must meet the requirements that have been determined by the cooperative. Due to the limited funds owned by the cooperative, the selection of someone to get help is done to reduce payment problems. In this study, calculations were carried out in order to recommend the feasibility of the borrower using the fuzzy tsukamoto method approach. There are several processes using the Fuzzy Tsukamoto method to solve these problems is Fuzzyfication, Tsukamoto's Fuzzy Inference system and defuzzification. In the process of fuzzyfication is to change the real variables into fuzzy variables. Then, the process of the tsukamoto fuzzy inference system is to find the value of -predicate and z, and finally defuzzification is to change the fuzzy variable into a real variable. Based on results of the tests carried out use the Tsukamoto fuzzy method of cooperative data KUD "SRI LESTARI" obtained very good performance results with an accuracy value of 87.88% and an F-1 score of 92.96%.
Evaluasi Tingkat Kapabilitas Tata Kelola Teknologi Informasi dengan Framework COBIT 5 pada proses DSS02 dan DSS03 di PT Hexindo Adiperkasa Cabang Balikpapan Erlan Erlangga; Andi Reza Perdanakusuma; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Hexindo Adiperkasa Balikpapan Branch is a company engaged in heavy equipment trading industry and provides services to customers. PT. Hexindo Adiperkasa Balikpapan Branch has utilized IT in data communication network to assist daily operational in company. The existence of information technology used in company, besides provide benefits it also cause risk which known as IT incidents to company. Managers must manage every IT incident with effective and efficient in order to prevent any bad impact that could hampered business operations. Based on these problems, researcher evaluate the management of information technology service management at PT. Hexindo Adiperkasa Balikpapan Branch to assess the company's maturity in managing information technology. In accordance with problems as mentioned above, author used the COBIT 5 framework and DSS (Deliver, Service, and Support) domain that focuses on DSS02 (Managing Service Requests and Incidents) and DSS03 (Problem Management) processes. Based on the assessment results, DSS02 is at capability level 0 and DSS03 is at capability level 0. The target capability for DSS02 and DSS03 is at level 1. It is recommended that the target capability which had been achieved are mapped in the roadmap with a span time of 3 years.
Optimasi Multiple Travelling Salesmen Problem Distribusi Produk PT Indomarco Adi Prima (Stock Point Nganjuk) dengan menggunakan Algoritma K-Means dan Algoritma Genetika (GKA) Yusuf Afandi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is one thing that is very important so that a product can be delivered to customers / consumers. The job of a salesman is to visit the store or customer one day before the goods are shipped to offer the product and record the ordered goods. Factors that must be considered in the process are the time and costs required to be as minimal as possible. One aspect that can influence these two factors is the optimal travel route. In this study, the problem that we will try to solve is the optimization of product distribution routes at PT Indomarco Adi Prima (Stock Point Nganjuk) which has several points to be visited by more than one salesman one day before the distribution of goods. There are several processes to solve these problems, namely input data in the form of latitude and longitude data, then the data will be divided into several clusters according to the number of salesmen in the company, then each cluster will look for the shortest route for 5 working days and the end result is all the shortest routes from each cluster the total distance traveled will be calculated. Based on the results of tests that have been carried out using latitude and longitude data obtained from PT Indomarco Adi Prima (Stock Point Nganjuk), the most optimal route results with a total distance of 259.722337 km with a fitness of 0.385026. The most optimal parameter is when the population size is 1600, the number of generations is 800 with a combination of crossover rate (cr) 0.4 and mutation rate (mr) 0.6.
Deteksi Orang Bermasker untuk Akses Pintu berdasarkan Rasio Bounding Box Wajah dan Roundness menggunakan Naive Bayes berbasis Raspberry Pi Aditya Rafly Syahdana; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

COVID-19 is a disease caused by the corona virus and it has caused a global pandemic since December 2019. The use of masks is highly recommended to stop the spread of the corona virus, especially in closed rooms with many people inside, such as the classrooms and the office spaces. Detection of people with mask to access door based on the ratio of face Bounding Box and Roundness using Naive Bayes on Raspberry Pi is used to ensure people wearing masks who want to enter classrooms and office spaces. Webcam is used to capture images of people who want to enter. The image is processed and classified on the Raspberry Pi 4. Image processing begins with converting RGB to YCbCr and performing the morphological dilation, the morphological opening, and the morphological closing of morphology. Image processing aims to segment the human faces and remove their backgrounds. Human facial features were extracted using the ratio of Bounding Box and Roundness analysis which aims to determine the detected human face. The method for classifying faces is the Naive Bayes method. The solenoid lock opens when the classification result uses a mask, and it will be locked when the classification result does not use a mask. In the process of testing the Naive Bayes model using 60 data, the highest accuracy is 90%. To prove the accuracy of the Naive Bayes model, a test was carried out by inputting images directly into the system at 5 different distances, namely at 0.5 meters, 1 meter, 1.5 meters, 2 meters, and 2.5 meters. The test at each distance got an average accuracy of 86.6%. The average execution time required for system to detect masker is 8.82412 milliseconds.
Analisis Sentimen Tweet COVID-19 menggunakan Word Embedding dan Metode Long Short-Term Memory (LSTM) Muhammad Zaini Rahman; Yuita Arum Sari; Novanto Yudistira
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Government policies related to quarantine have generated various responses from the community, some people feel that The quarantine must be done so that the spread of the COVID-19 disease can be suppressed, but others also feel that this is detrimental to the community because their activities are being limited, this response can be found in their Twitter post. By analyzing the sentiments on people's Twitter posts, we can conclude whether a policy tends to get more positive or negative responses to the affected community. To carry out this analysis, deep learning method is used, namely Long-Short Term Memoryf (LSTM) with the addition of Word Embedding to 1364 independently crawled Indonesian people's Twitter data. Performance using the LSTM method produces 81% accuracy, 80% precision, 80% recall, and 81% f-measure. This LSTM method produces better performance than the other 2 methods, namely Naive Bayes and Recurrent Neural Network (RNN) with a difference of + 8%, with details of 74% accuracy, 72% precision, 74% recall, and 69% f-measure for the Naive Bayes method and 71% accuracy, 71% precision, 72% recall, and 72% f-measure for the RNN method.
Implementasi Wireless Mesh Network berbasis Protokol Routing BATMAN untuk Video Live Streaming dengan menggunakan Fitur Network Coding Muhammad Fattah Na'im Pang Ripto; Primantara Hari Trisnawan; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Live Streaming Video is one technology that is still used today. The main challenge with streaming is that it requires a large bandwidth to run properly. With a modern multi-hop network topology and intersecting node paths, the requirement for connection to live streaming video is getting bigger due to busy network traffic. This has an impact on the value of Quality of Services (QoS) and user convenience. Network coding can be used at relay nodes to increase the QoS value, especially throughput on the network by channeling packets from two sources simultaneously. The research was carried out using the BATMAN proactive routing protocol, which only looks for the best next-hop path so that it is efficient in a Wireless Mesh Network with a total of five hardware nodes. Quality of Services (QoS) testing is carried out on two devices, namely node C and node D which stream on node A and node B with node E as an intermediary. After the network coding was implemented, the throughput value in the test at node C increased at QCIF resolution of 0.00014 MB/s and CIF of 0.109199 MB/s compared to normal conditions without network coding. While at node D, the increase in throughput after network coding also occurs at QCIF resolution of 0.000336 MB/s and CIF of 0.000345 MB/s. The results of the test parameters are in accordance with the theory of using network coding, which after implementing the throughput value shows an increase.
Pengembangan Sistem Informasi Akademik Sekolah Menengah Kejuruan (SMK) (Studi pada SMK Muhammadiyah 1 Kemlagi) Muhammad Taftiyan Ilham Akbar; Satrio Agung Wicaksono; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SMK Muhammadiyah 1 Kemlagi is a private school in Mojokerto Regency which was established in 2016. When the research was conducted, SMK Muhammadiyah 1 Kemlagi was still using Microsoft Excel and Microsoft Word program for data processing. That's software did not connected to the database system, so there were often problems in managing data in a large amount. Many such as out of sync data and long and difficult data searches caused by many separate documents. This study aims to solve this problem by developing an information system to process school academic data. The information system developed is called the academic information system of SMK Muhammadiyah 1 Kemlagi or abbreviated as SIAKAD SMK MUTU. The information system developed is web-based and built using the PHP programming language with the Codeigniter framework with MVC architecture and MySQL database program. The system development method applies the waterfall model and the system modeling uses the UML (Unified Modeling Language) language, system testing uses blackbox testing and user acceptance test (UAT). The results of the blackbox test stated that the 20 function test cases found the validity of 100% and the system was running according to the stated specifications, the results of the user acceptance test (UAT) were found to be 82.9% of the 10 (ten) participants tested. Referring to the test results, it can be concluded that SIAKAD SMK MUTU is declared valid and very acceptable to users.
Pengembangan Aplikasi Manajemen Kelayakan Panen Budidaya Ikan Lele berbasis Website (Studi Kasus : Budidaya Lele Bapak Andri) Yudha Prasetya Anza; Indriati Indriati; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The raising of catfish is urgently needed in agriculture. But there are still many growing countries that still manage by hand by logging on the development books. Of course, such measures are less effective because the likelihood of errors taking considerable time to record. In the proliferation of catfish, there is also a process of harvesting for the purpose of making it easier for the farmers to determine the worthiness of the crop by the established fish criteria. Therefore, the author create a web-based application to tax the feasibility of the catfish breeding crop to help the farmers carry out the feasibility process of harvesting. In the production of this application the author observes and interviews first to the development of the project, followed by the process of analysis of needs, design and implementation and testing. After analysis of needs, functional needs are provided by 28 (twenty-eight). The initiated design phase of architecture design, data design, component design, interface design and implemented using PHP programming language, HTML, JavaScript. The testing phase be done with the whitebox approach and the blackbox approach. Test results show that all functions that have been tested are valuable.

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