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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 1,326 Documents
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Pemanfaatan text summarization dengan Support Vector Machine dan K-nearest neighbor pada analisis sentimen untuk mempermudah pengguna membaca review game STEAM Hilarius Bryan; Rolly Intan; Hans Juwiantho
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Today the development of the game is increasing and in line with the growth of the players. Usually, these players who are often called players have a special platform to see the latest game developments. One that is often targeted is Steam, where the platform provides complete information such as reviews, prices, release dates, and so on for users who want to buy games. Usually before buying a game the user will see a review first. The number of reviews on Steam makes it difficult for users to find information. From these problems, text summarization was carried out to summarize information and sentiment analysis to assess the value of the game. In order to get a good summary of the information, it is necessary to go through several data processing processes. The game review data collection process is obtained through the available Steam API. Once collected, preprocessing will be carried out to overcome the varied and inconsistent data that can affect the training process. Preprocessing includes Tokenization, Stopwords Removal, and Stemming. The text summarization process for feature to vector uses TF-IDF and Sentiment Score to get the main sentence before the training process using SVM is carried out. The classification process uses the KNN method which compares each game review data whether the data is closer to positive or negative, thus helping users when viewing game information becomes shorter and easier. Measurement of the success of this method in answering problems by testing data with the Confusion Matrix and surveying Steam users. The use of text summarization for each game review has little role in improving the results of sentiment analysis, because the method is not suitable and the game review data is in the form of an abstract. The accuracy of sentiment analysis is still better when text summarization is not carried out on the data. A total of 50 people were asked to provide statements regarding the results of sentiment analysis and text summarization. The results obtained by 40 out of 50 users said the application helped read game reviews and 10 others did not.
Penerapan Inventory Control untuk Meningkatkan Cost Efficiency pada Perusahaan Distributor PT. Y Nicholas Billy; Yulia Yulia; Rudy Adipranata
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

PT. Y is a distributor company that sells water heaters and several water heater accessories. The problem is that all sales and stock bookkeeping is still done manually via excel separately - excel data is separated so that there are often missing excel. The stock check process is also done manually by counting the items one by one within a certain time so that it takes a long time. Too much stock because they also want to buy items at low prices is also a problem. From the existing problems, PT. Y requires an administrative system that helps summarize sales and purchase data as well as methods in the form of Economic Order Quantity and Reorder Points to help PT. Y in preparing stock so as not to buy too much stock With the Inventory Control System that will be applied to PT. Y will help with the problem of miscalculation of excel data. Better stock management and purchase of goods with good calculations will help cost efficiency at PT. Y
Sistem Pakar Deteksi Penyakit Ikan Lohan Menggunakan Metode Forward Chaining Richard Alexander; Djoni Haryadi Setiabudi; Alexander Setiawan
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Flowerhorn care has different handling, where this can affects how to cultivate and how to treat it. Where if the treatment given is not good, the quality of the fish produced also decreases, which can greatly affect the selling price of the fish.The problem that the author want to solve is by utilizing an android application that functions to diagnose diseases that exist in flowerhorn by using an expert system based on the Forward Chaining Method to diagnose the symptoms that arise in flowerhorn fish.The test was carried out on a collection of interview data in the form of disease symptoms and the application made was able to diagnose flowerhorn with the results of the method test being able to achieve an accuracy value of 80%.
Sistem Aplikasi Pada Multi Channel Power Socket Untuk Pengukuran Daya Pada Kompleks Ruko Dan Apartemen Yoshua Dennish Kurniawan; Resmana Lim; Agustinus Noertjahyana
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Along with solid human activity, especially at work time. Sometimes forget to turn off or turn on the electronic device so that the cost of electricity is vulnerable to cost overruns. This is coupled with the possibility of damage to components that make energy efficiency less. If we don't measure the use of energy on electronic devices, then we can't detect that there are problems with electronic devices. This problem will be resolved by the author by utilizing the internet network of an application and a tool for monitoring energy consumption and controlling the life of the installed load. The results of testing this tool in energy monitoring have a margin of success reaching 95.72%.
Ringkasan Ekstraktif Otomatis pada Berita Berbahasa Indonesia Menggunakan Metode BERT Franky Halim; Liliana Liliana; Kartika Gunadi
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In this modern era, information has become an important part of everyday life. In getting information several things can be done where one of them is by reading. With the increasing amount of information available on the internet, it is difficult for humans to keep abreast of developments. Online news is also one of the sources of information on the internet with a very large number and various topics. Reading the whole information sometimes also takes a long time. Therefore, it is necessary to make a summary of the available online news to reduce reading time and obtain relevant information. In this research, a summary of the news will be made by selecting important sentences from the news text. The method used in this research is Bidirectional Encoder Representations from Transformers with the addition of a transformer encoder layer.Based on the results of the tests that have been carried out, the pre-trained indolem/indobert-base-uncased model can produce the best F1-Score 57.17 for ROUGE-1, 51.27 for ROUGE-2, and 55.20 for ROUGE-L using abstractive reference and 84.46 for ROUGE-1, 83.21 for ROUGE-2, and 83.40 for ROUGE-L using extractive reference.
Implementasi Internet of Things pada Sistem Cathodic Protection sebagai Proteksi Korosi Besi Beton Billy Christian Johan; Agustinus Noertjahyana; Gunawan Budi Wijaya; Daniel Tjandra; Resmana Lim
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Jurnal Infra

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Abstract

Concrete iron or reinforcement bar is steel used for reinforcement in concrete construction or known as reinforced concrete. Reinforcing bar can undergo a corrosion process caused by chemical or electrochemical reactions between steel reinforcement and its environment. One of many way to protect concrete from corrosion is by cathodic protection. There are two types of cathodic protection, namely sacrificial anodes and impressed current cathodic protection (ICCP). ICCP is more commonly used for protection in reinforced bar structures. In ICCP, negative current flows to the reinforcing bar and positive current flows to the anode. This is a method to protect the reinforcing bar from corrosion. In addition to the corrosion protection system, there is also a half-cell potential test to measure the chance of corrosion of the reinforcing bar. Measurements are made by reading the potential difference between the reference electrode and the reinforcing bar. Chances of corrosion can be known level of corrosion by reading the table of corrosion opportunities with ASTM C879-09 standard.In this research, the implementation of the internet of things will be carried out on the cathodic protection system to protect the reinforcing bar from corrosion, so that the user can monitor and control the provision of cathodic protection on the reinforcing bar.Based on the results of the tests that have been carried out, the IoT system can regulate the power supply by setting the voltage and current and can schedule the power supply to provide electric current to the reinforcing bar and can provide notifications if the electric current flowing in the concrete is more than or less than ICCP standard. The average difference between the readings between the voltage sensor and the multimeter is 21.07 mV. The reading value of the potential difference between the concrete iron and the reference electrode in the half-cell potential test method before it was carried out was -216.15 mV and after ICCP was carried out, the value became -167.974 mV. There was an increase of 58.596 mV after ICCP was performed.
Aplikasi Pengukuran Tinggi dan Berat Badan Manusia Menggunakan Morphological Image Processing Nicky Nicky; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Currently, there are still many measurements of height and weight body human done manually, where someone who wants to measure height and weight they must have a measuring device. This causes difficulties for people who do not have height and weight measuring facilities such as a stature meter to measure height and a scale to measure weight. But with the development of technology, especially in the image processing, this can be made easier. Estimates of human body height and weight can be known through taking pictures with an android smartphone camera, so it can make it easier to measure height and weight without using manual measurement tools.This study uses morphological image processing methods to recognize objects and determine the object's height from the image. To find out the weight of the object using the body surface area (BSA) formula. Both methods are combined into an applications.The results of the study the average accuracy of measuring height using morphological image processing was 98.6%. Meanwhile, the average accuracy of weight measurement using the body surface area formula is 80.7%.
Implementasi Locally Adaptive K-Nearest Neighbor Algorithm based on Discrimination Class (DC-LAKNN) pada Kasus Deteksi Fake Account Instagram Yosefani Kurniawan; Lily Puspa Dewi; Silvia Rostianingsih
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Instagram is one of the social media that has many users. Because of the ease of creating an account, many people create a fake account for stalking, spam attempts, fraud, photo or password theft, and even attacks another account with virus. Therefore, users need to be wary of unknown followers. Detecting account, which is real or fake can help users to be careful accepting some unknown follower. In addition, users can report to Instagram so that account can be deactivated. In this thesis, a website-based application is designed that can detect the possibility of an Instagram account being a real or fake account. The detection is carried out using the Locally Adaptive K-Nearest Neighbor algorithm classification method based on Discrimination Class (DC-LAKNN) which is an adaptive algorithm from the K-Nearest Neighbor algorithm. This algorithm pay attention at discrimination class as the basis for classification. The attributes used in the classification are user follower count, following count, biography length, media count, username digit count, username length, user has profile picture, user is private. The end result is that the Locally Adaptive K-Nearest Neighbor algorithm based on Discrimination Class (DC-LAKNN) can be used to classify Instagram accounts with an accuracy of 96.23%.
Deteksi Masker Wajah dengan Metode Convolutional Neural Network Ivan Hartono; Agustinus Noertjahyana; Leo Willyanto Santoso
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

The computer must be able to recognize the area which is a face object in the image in order to facilitate the detection of face masks used by humans. Deep learning is artificial intelligence with simple representations that have hidden layers to process data that can build complex concepts. Deep learning can be trained to detect an object and classify objects. There are many deep learning algorithms that can be used for the model recognition process, for example for object classification using MobileNet, VGGNet, DenseNet, GoogLeNet, AlexNet, and others while for object detection you can use You Only Look Once, SSD Resnet, Multi-task Cascaded Convolutional Neural Network (MTCNN), HyperFace and others. The object detection system can use two combinations of algorithms, namely the object classification method and the object detection method. The method for recognizing mask objects on human faces is CNN (Convolutional Neural Network).The CNN method is the development of the Multilayer Perceptron which is designed to process two-dimensional data. CNN method is very good in processing spatial data and classifying objects [1]. After training the model with VGGNet, the next method is to detect an object using the SSD ResNet module.
Penerapan Manajemen Risiko IT pada Bank X dengan Menggunakan Framework COBIT 2019 William Jordy; Leo Willyanto Santoso; Yulia Yulia
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Abstract

At Bank X, various problems occurred in business processes involving IT. problems occur such as unstable server network conditions and experiencing problems when carrying out business processes inputting data. The purpose of this thesis is to find out what factors or causes are the most influential in the use of IT in Bank X's business processes and provide a response to existing risks based on the 2019 CobiT guidelines with the Align, Plan and Organize (APO) domain in the APO 11 Managed Quality process. and APO 12 Managed Risk. Methodology The research will be conducted by examining the capability level and conducting a risk assessment using the OWASP standard in the APO11 and APO12 domains in accordance with the results in the Mapping Alignment Goal (AG) and Enterprise Goal (EG) as well as the BSC dimensions. Based on the results of research conducted, the authors found several risks that have an impact on the company's IT business processes along with the responses and solutions provided. The solution given is to Mitigate or Avoid depending on the risk severity of the risks. The conclusion of this research is that the IT Division has an important role in running the company's business processes. In addition to acting as support, the IT division also has a role in software development in customer banking applications, respondent transparency and the IT division as the company's support system are important factors in assisting this research.

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