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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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Perancangan User Experience Aplikasi e-Business Pasar Tradisional dengan Metode Human Centered Design (Studi Kasus: Pasar Oro-oro Dowo) Indrihana Kharismaning Larasati; Widhy Hayuhardhika Nugraha Putra; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 13 (2021): Publikasi Khusus Tahun 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Untuk dipublikasikan di Jurnal Teknologi Informasi dan Ilmu Komputer
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.
Pengembangan Sistem Informasi Monitoring Peternakan Ayam berbasis Mobile menggunakan React Native dan Restfull Web Service (Studi Kasus: Peternakan Alfa Sentosa) Muhammad Fikri Fadlurrahman; Issa Arwani; Widhy Hayuhardhika Nugraha Putra
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

Alfa Setosa Farm is one of the chicken farming industries located in Bendosari Village, Kademangan District, Blitar Regency. Alfa Sentosa has been established since 2018 and focuses on producing chicken meat. Alfa Sentosa Farm has a total capacity of 7,000 (seven thousand) chickens for each production. The production period carried out by Alfa Sentosa is usually takes about 30 (thirty) to 40 (forty) days to produce chicken meat. Alfa Sentosa itself also partners with PT. Charoen Pokphand Indonesia for the supply of chicken seeds, feed, and vitamins. However, there is a problem with data recording which is still done manually using handwriting on an existing form. After writing the form, the employee takes a picture of the form and then reports it to the Alfa Sentosa farm owner via the online chat application. The report is divided into 3, namely the DOC (Day Old Chicken) report when it arrives, the daily report for feed and medicinal use, and the report when it is harvested. In addition, these reports are not well documented because they only use photos and are not neatly stored, making it a little difficult to analyze the percentage graphs of Alfa Sentosa farms. So from these problems, the development of an Information System for the archiving and recording of reports was carried out to help maximize business processes. System development begins with requirements analysis by interviewing Alfa Sentosa farm's owner. Based on the results of requirements analysis, it is continued with the design in the form of Sequence Diagrams, Class Diagrams, Physical Data Models, API design, and User Interface design. The system implementation is carried out in the form of mobile apps with the Laravel and React native framework. These two technologies will communicate using RESTFUL Web Service. For the testing, the blackbox testing is used, which gets all valid values and usability testing which gets average value 86 that means the system is well received.
Pengembangan Sistem Seleksi dan Monitoring Atlet Shorinji Kempo Kota Malang berbasis Web Dwi Tyas Fitriya Ningsih; Edy Santoso; Nurudin Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Shorinji kempo is a martial art originating from Japan and began to develop in Indonesia since 1966. Now, martial arts are not only used for self-defense, but there have also been regional, national and international championships. Prior to participating in the championship, prospective athletes will be selected to choose the best in terms of physical and technical aspects. Then there will be coaching athletes for several months. The selection and coaching of sports athletes is handed over directly to the management of the sports branch. So that the Malang KONI did not know directly the results of the selection. Assessment during selection is also still done manually and conventionally, namely on a sheet of paper. In addition, the athlete's progress every day is not recorded regularly so that it cannot be known whether the athlete has decreased or increased either physically or technically. Based on these problems, the researchers proposed a system for athlete selection, and related parties could immediately see the results so that there was no cheating. At the time of coaching athletes there is monitoring of athlete performance during daily training. The system development method uses the waterfall development method. From the implementation carried out, it produces the main features of athlete selection, athlete development graphs and recommendations for physical exercise. The system is built with the MVC architecture using the Codeigniter framework. System testing using white box testing and black box testing methods.
Sistem Manajemen Toko Perhiasan Perak menggunakan Progressive Web App (Studi Kasus: Toko Borneo Silver Banjarmasin) Benyamin Fajri; Achmad Arwan; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Borneo Silver store is one of the silver jewelry stores in Banjarmasin. This store sells various types of silver jewelry such as necklaces, rings, bracelets, foot pendants, earrings, and jewelry accessories. This store performs online sales transactions, offline sales, purchases, and custom sales. This shop has a branch that specializes in offline sales of second-hand silver jewelry. Borneo Silver store still uses written invoices as proof of transactions and calculations manually using a calculator. In addition, this store also does not have a record of every item so it cannot know directly whether the stock is still available. The process of calculating financial reports at this store is also taking a long time because they have to calculate manually from sales notes and purchase notes. To solve these problems, a Silver Jewelry store management system was created using a Progressive Web App with the main features of online sales, offline sales, purchases, custom sales, and financial reports. Then proceed with the design and implementation stages. This system is built using the PHP programming language, the Lumen framework, and the Lighthouse framework as the backend and the Ionic framework as the frontend. After the implementation phase, it is continued with the testing phase. Tests are carried out using unit testing, integration testing, and validation testing methods. The tests carried out resulted in 100% valid so that the system made was in accordance with the results of requirements analysis and design.
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.
Sistem Pengelolaan Inventory Gudang (Studi Kasus: PT. Papua Utama Mitra) Bagus Aryo Herlambang; Edy Santoso; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Warehousing basically functions to store goods for production in large quantities and a certain time span which is then distributed to the intended location. Warehousing will be able to operate more easily if there is a Warehouse Management System. Warehouse Management System that uses information systems will be able to assist in the management and supervision of incoming goods and outgoing goods in the warehouse. At this time, there are still some warehousing companies that use manual system processes starting from inbound customer documents, and others. There are problems found in the Admin and Checker PT. Papua Utama Partners. On the admin side, the problem is in the form of Time Working Efficiency. In this case, Time Working Efficiency is very influential on the quality of the company because it will be able to slow down the time in processing the queue of incoming or outgoing goods. The main purpose of this research is to make it easier for the Admin to process incoming mail and allocate goods by developing a warehouse inventory management system. This study uses one of the development methods, namely the waterfall model. Based on the needs elicitation carried out, there are 24 functional requirements and 1 non-functional requirement. In unit testing, validation testing, and integration, each result is 100% valid.
Analisis Sentimen Masyarakat terhadap Sistem Pembelajaran Online selama Pandemi Covid-19 berdasarkan dari Twitter menggunakan Metode Naive Bayes Moch Bima Prakoso; Imam Cholissodin; Indriati Indriati
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

Twitter is one of the most popular social media among young people in Indonesia. In Twitter social media, there is a tweet feature that is commonly used by users to express their experiences or provide criticism on an event that is currently being discussed. At the beginning of March 2020, Indonesia was shaken by the entry of the corona virus or commonly known as Covid-19. Previously the virus had spread in parts of the world, especially in the Asian continent. The impact of Covid-19 in Indonesia is very large, especially in the corporate and education sectors. In the corporate sector, many companies are experiencing a decline in income and are threatened with bankruptcy, not much different from the education sector also experiencing various problems, to prevent the spread of the virus the government has closed teaching and learning activities. Then the government provides a policy to conduct online or online teaching and learning activities. In this solution, there are still pros and cons among the community. Therefore, the data grouping of community tweets related to the online learning system during the pandemic was carried out, using the Naive Bayes method of community tweets. This test was carried out using Cross Validation and Confusion Matrix to obtain accuracy results. In this study, accuracy results were obtained with 10 trials with an average value of 0.59 Accuracy, 0.61 Precision, 0.60 Recall, 0.58 F-Measure.
Pengembangan Sistem Informasi E-Ternak Banyuwangi (E-Nak Wangi) berbasis Android (Studi Kasus: Dinas Pertanian dan Pangan Kabupaten Banyuwangi) Muhammad Sultan Alfariz; Denny Sagita Rusdianto; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dinas Pertanian dan Pangan Kabupaten Banyuwangi is an agency that takes care of cattle in the area of ​​Banyuwangi Regency. Based on data obtained from Dinas Pertanian dan Pangan Kabupaten Banyuwangi, the number of cattle population in Banyuwangi Regency reached 126,114 cows. The problems that occur in the Banyuwangi Regency Agriculture and Food Department are in the data collection of cattle with a population that reaches 126,114 cows, the risk of loss of paper sheets that contain curriculum data and cattle photo files that have been taken by the data and negligence of officers in conducting data collection, service And cattle monitoring and officers have obstacles to find the location of the cattle that will be taken by the data, because the owners of cattle animals cannot provide information on cattle owned to the officers. Based on these problems the author gave a solution in the form of the development of the Banyuwangi E-Livestock System (E-NAK Wangi) based on Android, it is expected to overcome and reduce the problems that exist in Dinas Pertanian dan Pangan Kabupaten Banyuwangi the process of collecting cattle animals and providing cattle animal services which has been registered. System development is done using waterfall development methods with stages starting from the requirements stage, design, implementation, testing and deployment & maintenance. At the engineering stage and the need for analysis is obtained 28 functional requirements and 3 types of actors. Implementation Using Java Programming Language on Android Studio Software. The testing carried out in the form of unit testing based on 3 test samples resulted in valid results, integration testing resulted in valid results, and testing validation gots 100% valid than 49 test cases.

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