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Jurnal Infra
Published by Universitas Kristen Petra Surabaya
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Core Subject : Science,
Computer Science & IT
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Articles 38 Documents
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Search results for , issue "Vol 8, No 2 (2020)" : 38 Documents clear
Penerapan Konsep Marketplace pada Bisnis Laundry dengan menggunakan Framework Multiplatform Flutter Satriany Lauri; Djoni Haryadi Setiabudi; Agustinus Noertjahyana
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

Over time, more and more laundry companies are threatened by their existence because of the lack of containers to accommodate laundry needs from customers and ultimately resulting in fewer and fewer customers, with a variety of reasons owned by customers such as the distance that does not allow, and customer ignorance of quality laundry that is automatically price and fulfillment. When viewed from the aspect of the customer, the user needs a system that can facilitate the user in meeting the need to wash, both in terms of time efficiency, and the affordability of the place. When viewed from the aspect of the laundry owner, the laundry owner needs a system that can be a bridge between the user and the owner, so that the laundry owner can enter a wider market. So when viewed from these two aspects, both parties need a concept or system that connects the two parties, namely the concept or marketplace system. The mobile laundry application with the marketplace concept aims to increase the user's time efficiency in meeting washing needs, and provide greater access to enter a broader market for laundry entrepreneurs. This application will be created using the Dart language using Visual Studio Code. This application helps customers to choose various kinds of laundry, with various categories of choices, customers also have features such as chat, notifications, customer profile, determine the date and time of delivery, choose the address of delivery and delivery, and features to view details of the order that is have been done. In addition this application also helps laundry owners to enter, edit, and delete categories that they have, and laundry owners also have a notification, chat, profile laundry owner, and features to update order status. The test results show that this application runs well on devices such as Android 8.0 (Oreo), and also the marketplace concept is proven to be applicable to the laundry business in terms of the system by having a web admin as a third party that managing the marketplace where the seller (the laundry) and the buyer (the customer) meet, and in terms of the convenience provided to the customer and laundry side.
Klasifikasi Topik dan Analisa Sentimen Terhadap Kuesioner Umpan Balik Universitas Menggunakan Metode Long Short-Term Memory Doenny Auddy Lionovan; Leo Willyanto Santoso; Rolly Intan
Jurnal Infra Vol 8, No 2 (2020)
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In evaluating and improving the quality of services and facilities, Petra Christian University (PCU) took feedback questionnaires given to students via online. At this time, reading the comments in the suggestion column is still read manually. So that it becomes less effective and efficient in analyzing sentiments and classifying topics for many comments. This study will apply word2vec and Long Short-Term Memory method to create a program that can help classify topics and sentiment analysis.Word2vec is used as a method to convert a word into a vector along with mapping the meaning of existing words. The parameter tested on word2vec are the number of iterations and windows size. Whereas the Long Short-Term Memory method is used to classify sentiment and topics. The parameter tested are the number of layers, the number of units, the batch size, and the percentage of dropout.The result of this study indicates that the word2vec method along with Long Short-Term Memory can be used to analyze sentiment and topic classification. The best configuration results obtained average accuracy in the implementation of the sentiment classification is 89,16 % and for implementation of the topic classification is 92,98 %.
Identifikasi Varietas Koi Berdasarkan Gambar Menggunakan Zero Parameter Simple Linear Iterative Clustering dan Support Vector Machine Amadea Sapphira; Alexander Setiawan; Endang Setyati
Jurnal Infra Vol 8, No 2 (2020)
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There’s currently 120 types of koi fish that has been bred around the world. The types of koi fish depends on the color patterns and shapes they have. There’s alot of patterns that has similarity between one type with another. For example, sanke and showa koi fish will look similar from a non-expert’s point of view, because both type has same color pattern, which is red, black and white. In actuality, sanke koi is dominantly red and white with slight black accent, while showa’s dominant color is red and black, with white accent.In this research, Zero Parameter Simple Linear Iterative Clustering (SLICO) method and Simple Linear Iterative Clustering (SLIC) will be tested and used to process the image segmentation process to eliminate the background of the image. Color Local Binary Pattern method is used to get the textures on images through the RGB, HSV, and grayscale colorspace. Support Vector Machine is used to identify types of koi fish. To test the SVM, two kind of kernel is used, which is linear kernel and Radial Basis Function (RBF) kernel.The results of this study are the program able to recognize types of koi from iamges. The test results show an accuracy of 36% in grayscale colorspace, 50% in RGB colorspace, and 48% in HSV colorspace.
Aplikasi Mobile Pengukuran Kwh Meter Rumah Tangga Menggunkan Arduino ESP8266 Edwin Surya Darmawan; Anita Nathania Purbowo; Resmana Lim
Jurnal Infra Vol 8, No 2 (2020)
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Technology progress is so fast that everyone is using computers all the time. Making it easier for users to do something. Thus encouraging people to combine hardware and software to help in technological progress. Nowdays many things need electricity so that without electricity humans can experience great difficulties. Example smartphone is the most widely used technology and has become a very important technology in human life. But if the smartphone battry runs out, the smartphone needs to be recharged.For this reason, one solution to this problem is the existence of an pplication that can monitor the use of electrical energy in order to help humans to control electricity usage, such as a notification when excessive amounts of electricity are detected.The test results show that the factors that influence the accuracy of the photodiode Light Sensor are the light around the sensor and the blinking speed of the kWh meter. The more light around the photodiode Light Sensor, the smaller of sensitivity of the sensor and the faster of the Led on the kWh meter allows for missed sensor readings when sending data.
Adaptive AI Pada Survival Horror Game Menggunakan Fuzzy Leonard Evan Widodo; Rolly Intan; Hans Juwiantho
Jurnal Infra Vol 8, No 2 (2020)
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There are many methods used by developers to create artificial intelligence in their games. The method most often used by developers because of it’s flexibility is the scripting method. Scripting method is done by writing several rules in the source code in the form of if - then. The problem with this method is that the NPC’s artificial intelligence is easily exploited by gamer who have understood the pattern of the NPC’s behavior.Therefore the fuzzy logic is used to overcome these problems.The use of the fuzzy inference method is to make the AI to be adaptive to certain situation where depending on the situation the AI will give different decision making. In this case, Tsukamoto Fuzzy inference method is used in this design. In the method, all rules have their respective values which then will be calculated to look for the average score which then was used to determine which decision to make. Before constructing the fuzzy rules, determining the design of the game and the design of the map must be made first. After all are done, the appropriate fuzzy rules can be constructed.The results of the survey showed that the game that uses the Tsukamoto fuzzy inference method provides an adaptive decision according to the conditions at a moment in a game. Ninth of the players who played the game agreed that game A and game B had different decisions despite using the same AI as much as 77.2%, while those who said that AI was the same as much as 22.8%. From the results of this survey it can be said that the Tsukamoto fuzzy inference method can produce adaptive decisions based on the condition of the game at a certain moments.
Sistem Pengaturan Suhu Dan Kelembaban Kandang Ayam Menggunakan Arduino Dan Website Bagus Dwi Maulana; Djoni Haryadi Setiabudi; Resmana Lim
Jurnal Infra Vol 8, No 2 (2020)
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Chicken raising is one activity that is still widely carried out by people who want to do business in the field of chicken farming, especially in Indonesia because the average human consumes chicken meat almost every day. Broiler breeders in Indonesia generally use the type of open cages and still use manual methods in the process of raising livestock such as in regulating the temperature of chicken coops. To help and support farmers in the field of maintenance, temperature and humidity regulators are made in the broiler chicken coop automaticallyChicken coops installed system Arduino WeMos D1 R2 and sensors DHT 22 which will show the current temperature and humidity figures and data obtained from the sensor will be sent with WiFi connectivity contained in the microcontroller to the database. This communication will trigger data exchange in real-time between the website and the chicken coop.Based on the results of tests that have been done, the DHT 22 sensor is able to read the situation in the chicken coop by staying in the user's point settings. Users can set point on the website as needed. Websites and devices can be integrated into a WiFi network and store in a database.
Aplikasi Penentu Subyek Skripsi Menggunakan Metode Support Vector Machine Artono Ivan Chandra; Yulia Yulia; Rudy Adipranata
Jurnal Infra Vol 8, No 2 (2020)
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Thesis is a task given by the university to students as a final assessment of the learning process that has been taken for several semesters. After completing the thesis, students submit their research results to the campus as a thesis collection. At Petra Christian University, every thesis collected is given a subject as the thesis category. However, giving this subject is still manual, so we need a system that can help determine the subject of the thesis.The system that is equipped with text mining features will help the library in determining the subject of the thesis. The steps taken are preprocessing consisting of punctual removal, stopword removal, and stemming. Then the process of extracting text data into numbers using TF-IDF. Furthermore, the data will be trained using the Support Vector Machine method which will produce a model and be used to predict subjects from input text. The trained data is the title data and abstract of the existing thesis.. The results of the research conducted showed that in the construction of the SVM classification model the parameters TF-IDF max_df 1, n-gram (1,2), smooth_idf and sublinear_tf true, linear SVM kernel with C 100 for the thesis title and max_df 0.25, n-gram (1,1), smooth_idf and sublinear_tf false, rbf SVM kernel with C 100 and gamma 0.01 for the thesis abstract. Both the title and abstract of the thesis require preprocessing, resample, and l2 normalization.
Identifikasi Jenis Anjing Berdasarkan Gambar Menggunakan Convolutional Neural Network Berbasis Android Kevin Oktovio Lauw; Leo Willyanto Santoso; Rolly Intan
Jurnal Infra Vol 8, No 2 (2020)
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Dogs are raised by many people however, to maintain a dog, there are several factors that must be considered such as feed consumed, intensity of care, and cleanliness of the cage or the appropriate environment. Therefore, an android application is needed to identify the type of dog and provide information related to the type of dog. The method we used is You Only Look Once to detect dog objects in an image then the dog image is cropped, the results will be processed by the Convolutional Neural Network to identify the type of dog based on the image given after that displaying the results of its identification on android. The test results show that the identification results from CNN are very dependent on the results of predictions from YOLO because the input from CNN is the result of predictions from YOLO. YOLO has a disadvantage where it will detect dog dolls and dog fur as dog objects. The test results show the accuracy of YOLO to detect dogs is 94.242%, CNN accuracy of model I is 56.400%, accuracy of CNN model II is 40,000% and accuracy of CNN model III is 50.400%.
Penggunaan Ultra High Frequency RFID pada Sistem Inventarisasi Creatrix Organizer Welly Tedja Kusuma; Yulia Yulia; Resmana Lim
Jurnal Infra Vol 8, No 2 (2020)
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At this moment, Event Organizer Creatrix Organizer records its items manually. Creatrix Organizer have not used structural system to record the items yet. Creatrix Organizer always having trouble to find the item for small scale event. The small-scale events does not require all the items from the warehouse and take time to find the items needed for the event. This situation will result in a delayed process. The customer will not be satisfied because the work is not optimal. Based on the Creatrix Organizer problem, the authors design a system that can record and count items automatically using Ultra High Frequency (UHF) Radio Frequency Identification (RFID). Not only tool, but also a website using CodeIgniter Framework and smartphone application using Ionic Framework for worker to make their job easier to find the needed items for the event. The database used for the applications is MySQL.The results of the applications are, they can record and count the items automatically using UHF Radio Frequency Identification (RFID). Furthermore, they can record and search the items that available in the website. Smartphone application is used for searching the items that available to use.
Implementasi Sistem Inventori pada Prodi Informatika Universitas Kristen Petra Richard Putra Sugijanto; Henry Novianus Palit; Leo Willyanto Santoso
Jurnal Infra Vol 8, No 2 (2020)
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Petra Christian University Informatics Study Program is one of the educational institutions which one of the activities to carry out an inventory of items which includes submission, purchase, recording, and distribution / delivery of items both for the purposes of supporting teaching and learning activities and for the needs of employees in carrying out their work in serving students and lecturers, and its reporting. So far there has not been an inventory system, especially in laboratories used by Informatics Study Programs. The data collection and reporting process is still done manually which requires a long time in completing each work. Errors sometimes occur in the calculation and recording of items. Items are often moved so that they forget where they are. Seeing the problems that occur, then made a computerized inventory system to simplify and speed up the data collection process, and the process of reporting inventoryThe software developed is a web-based inventory system. This system is also adjusted to the results of the analysis of the existing system with several additional features to adjust the needs of the laboratory. The web system was developed using the serveride PHP programming language as well as several supporting libraries such as clientide css, javascript in the form of bootstrap, datatables, and jQuery.The final results of software development include the movement of items that occur in laboratories, such as input data of items, lending, returning and moving items.

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