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Prediksi Kebutuhan Darah Menggunakan Metode ARIMA Dengan Mempertimbangkan Faktor Deterioration Gabriela Consuelo Heriyanto; Andreas Handojo; Tanti Octavia
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Blood has various uses that are very important for the human body. However, blood can only be donated in limited quantities because it can only be produced by humans. This blood donation activity is organized by the Blood Transfusion Unit (UTD), one of which is UTD PMI Surabaya. UTD PMI Surabaya also produces and stores blood products and distributes them to hospitals or directly to patients who need blood. Due to the uncertain amount of blood demand, UTD PMI Surabaya needs to make predictions in order to meet the blood needs. But blood has an expiry that also needs to be considered. Meanwhile, the blood demand prediction system still uses human estimates. Therefore, an information system is needed that can assist in predicting the need for blood by considering the expiration date of the blood. The application made in this research is a web application that can assist in making predictions using the ARIMA method. Then a calculation will be carried out by considering the deterioration of the blood to determine the need for blood in the next month. Based on the test results, the application is able to predict blood needs. The ARIMA model used to predict WB blood components is ARIMA (7,0,6) with a RMSE of 58,91. While the ARIMA model used to predict the TC blood component is ARIMA (5,0,6) with a RMSE of 272,46.

Pemodelan Lip Reading Bahasa Indonesia Berbasis Visem Menggunakan VGG16 serta Jaro-Winkler Similarity dan Bigram Henry Wicaksono; Liliana Liliana; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Lip reading is a technique used to understand spoken words through visual representation of lip movements. Lip reading has many uses, such as aids for laryngectomy patients and aids for people with hearing disabilities. A research shows that 2.6% of Indonesia’s population has a hearing disability. Thus, lip reading can be a relevant solution in Indonesia. This study aims to model a viseme-based Indonesian lip reading system. The method used in this research is VGG16 which is used as a classifier and Jaro-Winkler similarity and bigram (JW-bigram) which is used as a decoder. The dataset used consists of 25 Indonesian sentences composed of 50 different words and spoken by 12 speakers. The results showed that the lip reading system made using VGG16 and JW-bigram was more effective in terms of accuracy and speed compared to other methods combinations.

Aplikasi Sistem Pengontrolan Turtle Tub Untuk Pemeliharaan Kura-Kura Red Belly Nelsoni Dengan Arduino Kevin Pramana Pongmasak; Silvia Rostianingsih; Indar Sugiarto
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Having turtles, especially Red Belly Nelsoni turtle is very common, but usually the owner don’t really know how to properly taking care of their turtles, according to the parameters needed in turtle maintenance. The problem that the author wants to solve is by utilizing Blynk application and Internet of Things tools that has a function to control, monitor and maintain all parameters that needed in turtle maintenance, so that the owner of the turtle can more easily taking care of the turtle in the turtle tub. The test was carried out by giving 2 turtle tubs containing Red Belly Nelsoni turtles to 2 volunteers who carried out the turtle care and maintenance in different ways. From the result of the test carried out, the application has been able to help the volunteers in taking care of the turtles according to the parameter aspects that needed in turtle maintenance.

Aplikasi Sentiment Analysis terhadap Trend Cryptocurrency pada Platform Twitter Menggunakan Library Textblob sebagai Alat Bantu Berinvestasi Ricky Chandra; Kartika Gunadi; Stephanus Antonius Ananda
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Along with the rapid development of information technology, many digital communication tools make it easier for people to access or share information. Twitter is one of the social media that has more than 1.3 billion users and more than 500 million tweets or tweets every day. The uniqueness of Twitter limits the number of writings to 280 characters, making Twitter a social media that contains sentiments about something. The cryptocurrency alone gets 4.1 million hashtag exposures per hour and has 2225 unique tweets per hour on the Twitter platform. The number of tweets related to Cryptocurrency causes investors to lose in terms of time because they have to manually assess a tweet. To overcome this, an effort that can be realized is to classify sentiments. One of the Natural Language Processing methods that have been developed for sentiment classification is TextBlob. In this thesis, an application will be made with sentiment analysis features using the Textblob Library, request tweets data using the Tweepy API, visualization of tweets data in the form of pie charts, tables, and word clouds, features that display the market price and history of cryptocurrency coins using the CoinGecko API and YFinance. as well as tweets from selected accounts. TextBlob Library testing is done by classifying results with 100 data that have been labeled by 2 examiners who have more than 1 year of experience investing in cryptocurrencies, the results obtained are 35% of the data have similarities between the results with the second tester, the application is tested with Tweets data request according to keywords, as well as application testing to display visualizations of Tweets data. A correlation test was conducted between the price change of cryptocurrency coins in 24 hours with the results of the classification of Tweet data and the Tweet volume of several coins. The conclusion that can be drawn from the correlation test is that when Tweet volume increases from the previous day, there will be a trend where the coin will increase or decrease. The results of the application web page where the application can display tweet data according to keywords and display visualizations, as well as display the price and history of the cryptocurrency market according to the available input.

Implementasi Text Summarization pada Review Aplikasi Super di Google Play Store Menggunakan Metode Maximum Marginal Relevance Dion Alexander Louis; Silvia Rostianingsih; Leo Willyanto Santoso
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Super App is an app for reseller agents who sell and distribute basic necessities in tier 2, 3 cities and rural Indonesia. The Super app has been downloaded by around 50,000 users on the Play Store. Various reviews or reviews have also been given by users who have downloaded the Super application. Whether we realize it or not, customer opinions / reviews given on Google play, a little or a lot, will have an influence on potential customers. Based on the problems that occur, this research will implement a text summarization program on Super App reviews with the implementation of the MMR and TF-IDF methods, so that from the large number of existing reviews, only a few important sentences can be extracted, so that the conclusion making process will become easier. The results of the research using the MMR method produced an average precision value of 40.4% in 3 trials, and with the highest precision value of 60.4% in the experiment using the parameter value = 0.7

Pengawasan Jalur Kapal dengan Automatic Identification System (AIS) berbasis Android Leonardo Yurion Tungribali; Justinus Andjarwirawan
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Indonesia, which is known as an archipelagic country, has a vast ocean that spans the country, that’s why Indonesia is known as a maritime country. With the vast sea, it becomes a wheel for economic turnover for Indonesia and internationally. Because Indonesia has 4 strategic points out of 10 points on international ship journeys, this makes Indonesian marine traffic very crowded and not a few ships from other countries cross Indonesian. When someone uses a ship to travel or deliver goods, there needs to be information about when the ship will arrive at its destination and the position of the ship when that person checks the information from the ship. Information about the ship consists of several important parts, the first is the estimated time of arrival (ETA), ETA is the time that ship will arrive at the port of destination, the second is the position of the vessel, the position of the vessel is in the form of latitude and longitude coordinates so that we can know the vessel's position on the map, and thirdly a ship specification that tells the ship type, ship size, MMSI, IMO, Call Sign, ship destination, and other important information. This information is quite difficult to find and also when looking for ETA the ship needs to go to the port and sometimes it is also not given in general at the port for certain vessels such as cargo and vessels other than passenger vessels. Therefore we need an application that can display ETA information, vessel position, and vessel specifications with the Android platform. The proposed application also has features that help users to do shipping or use transportation services using vessels. To obtain vessels information, an Automatic Identification System (AIS) is used which provides ship information and assists in calculating the vessel's ETA. ETA calculation and ship position prediction are assisted by the Haversine method. The results of the application have been tested with ETA information with test data, with the difference between ETA obtained from AIS and calculated by the system of ±20 minutes. The results of the application have been surveyed for the level of user satisfaction. The process of using the vessel is more helpful because of the features provided.

Sistem Mobile Application, Tracking Lokasi dan Estimasi Perjalanan Untuk Aplikasi Shuttle Bus Uk Petra Menggunakan Flutter dan Google Maps Kevin Jonathan; Rolly Intan; Liliana Liliana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Petra Christian University (PCU) is a campus that is already growing rapidly becoming one of the popular university in Indonesia with thousands of students from Indonesia and outside Indonesia which is now located in Jalan Siwalankerto, exactly in number 121-131, Surabaya. Petra Christian University planned to launch Shuttle Bus with west Surabaya – Petra Christian University route to facilitate many of the students from west Surabaya to reach Petra Christian University and vice versa. But, this Shuttlebus needs a control system to manage the usage of this shuttle bus by students. This control system is divided in a few big features, which is registration, reservation, identification, tracking, and features related to rating and notification system. The research results showed that after the "Petra Shuttle Bus" application was designed, most of the passengers benefited from being able to make a reservation in advance along with accessing other important features such as viewing bus locations and rating related schedules for service improvement. In addition, the driver also feels benefited because with the current check-in system, this greatly facilitates the driver in the process of checking passengers’attendance who have made the reservations. Please note that this application is far from perfect and requires further improvement according to users’ feedback.

Pengamatan IP Cycling Pada VPN Menggunakan GRC Fingerprints dan DNSLeakTest R. Agastya Ardhitaputera Ramadhan; Justinus Andjarwirawan; Agustinus Noertjahyana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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As information technology has evolved within the modern era, the needs of information rises along with it. Where every individual need information quickly and accurately, a supporting medium must support it. One of these medium is fast internet. Many are paranoid towards the idea of the government stealing their private information and using it for what they see fit. The objective of this research is to determine whether or not the stability of said VPN is of acceptable levels. The data will be taken hour-by-hour for 30(thirty) days from www.dnsleaktest.com and www.grc.com/fingerprints.htm. The results will then be forwarded to the Google Sheets website that has been programmed to receive the IP, Hostname, ISP and Country tags from the source code from said page. Commercial VPNs are private networks that allow its users to appear to be connecting from another network. This is however not without risk, for those services may not be safe. In this experiment, we have concluded that some VPNs are unstable when used at certain times.

Website Human Resource Information System Dengan Fitur Pengukuran Efektivitas Kinerja Karyawan Pada PT. Deus Digital Transformasi Universal Alvin Putra Wong; Alexander Setiawan; Lily Puspa Dewi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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PT. Deus Digital Transformasi Universal is a service company that focuses on website creation, social media management, and client product marketing. So far, the management of human resources is still mostly done manually, so it is very possible for recording errors or other errors that make the data inaccurate. PT. Deus Digital Transformasi Universal also plans to open several branches outside the Surabaya area which causes the company's need for a Human Resources Information System to be very strong and cannot be avoided anymore. HRIS is equipped with a decision support feature using the Analytical Hierarchy Process method that can display suggestions and actions for evaluating employee performance results. In this study, an HRIS was designed which has several modules, namely the Master module, recruitment module, project module, violation module, daily work module, performance module, and payroll module. To support decisions the system uses the Analytical Hierarchy Process used in the calculation process, and ranking of employee performance. The system is made based on a website using the laravel PHP framework, javascript, HTML, and MySQL database. The result of this research is a system that can help HRD in all matters of human resource management, and help company directors to be able to unify the work of employees, and their performance in real-time, and objectively.

Adaptive Sparse Transformer untuk Meningkatkan ROUGE-1 Score pada Text Summarization Scientific Paper Andrew Firman Saputra; Liliana Liliana; Djoni Haryadi Setiabudi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Technology advancement and internet causes lots of information that can be accessed at any time. Journal article is one of such many information that’s available that requires time to read thereof in need of automatic summary. Automatic Text Summarization (ATS) basically a process of making a new text that’s smaller than the original text without removing the meanings from the entire input text. The process of making automatic text summarization can be done in extractive and abstractive way. A summary that was made by an extractive method only able to generate a summary with a word that’s included in the original text, whereas summary that was made by an abstractive method can generate a summary that include word that does not exist in the original text. In the previous research in abstractive summarization is found is not optimal thereof need an improvement. The method used in this research is an abstractive summarization with Adaptive Sparse Transformer. Things that will be done in this research are scraping dataset arxiv machine learning, making the dataset, processing the data and trials on hyperparameter configuration in the model to see ROUGE-1 precision performance. The dataset used is Arxiv Scientific Paper dataset and Arxiv Scientific Paper+Machine Learning dataset. The results of this research showed that the method used capable to compete with state of the art methods with average R-1 precision score of 39.4 for Arxiv Scientific Paper+MachineLearning and 42.5 for Arxiv Scientific Paper.

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Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota surabaya,

Jawa timur

INDONESIA