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Jurnal Infra
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
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Articles 79 Documents
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Search results for , issue "Vol 10, No 2 (2022)" : 79 Documents clear
Pencarian Rute Indoor Terpendek dalam Lingkungan Universitas Kristen Petra Surabaya menggunakan Algoritma D* Lite berbasis Android Richard Hans Krisnajana; Agustinus Noertjahyana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In today's era, a large building divided into several floors often confuses visitors in looking for a place / room and spends a lot of time in vain, one example is the Petra Christian University Surabaya environment. The application that will be made can make it easier for students, lecturers, staff and visitors to Petra Christian University Surabaya in finding the shortest route to their destination. To run the application, a server is needed in the form of a database to store nodes, space data, wi-fi data, and geomagnetic data. Data retrieval is done manually and processed so that it can be used as a reference. After the data retrieval process, the user can enter input in the form of their destination and the system will calculate the shortest route and display the route to the user. Based on the results of the tests that have been carried out, the application that has been made is able to provide the shortest route and display it to the user. In addition, the application is also able to provide the shortest route calculation with a short average time, and provide the user with an estimate of the exact location and time during the navigation process
Aplikasi Penerjemah Kegiatan Seminar Menjadi Video Bahasa Isyarat BISINDO Dengan Speech To Text Marcel Slamet Sugianto; Liliana Liliana; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Information at this time is very much needed to increase our knowledge. However, this delivery can be hindered by several conditions such as the inability to hear the deaf community. Based on data from the Data and Information Center of the Ministry of Health of the Republic of Indonesia in 2019, 7.09% of the Indonesian population is deaf. In addition, the delivery of information at the seminar can be hindered by noise and participants sitting far from the speaker will have difficulty hearing the speaker's voice. In this study, we will use Speech-To-Text on the Android application which aims to help translate information in the form of voice delivered as at a seminar into text and will be converted into BISINDO sign language video. The results of testing the use of the Speech-To-Text feature in the application that has been made show that it is able to accommodate approximately 100 words in 1 minute at a time when the speaker speaks without any pause. The Speech-To-Text feature used takes approximately 2 seconds to translate the received voice and the time lag required by the speaker device to the participant's device takes approximately 3-5 seconds after using 5 different internet speeds. For the accuracy of the Speech-To-Text feature that was tested using 3 narrations read by 4 different people, the accuracy of the Speech-To-Text feature has an accuracy of above 80% in general, although there is an accuracy that is below 80% due to the ambiguity of the pronunciation.
Sistem Rekomendasi Content Based Filtering Pekerjaan dan Tenaga Kerja Potensial menggunakan Cosine Similarity Philips Nogo Raharjo; Andreas Handojo; Hans Juwiantho
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

During the pandemic, there was an economic problem that forced companies to do something to avoid any loss. One of the action is to terminate the employment with their workforces. In the conventional way, the workforce and the company will waste a lot of time looking for the right fit for them. So, the recommendation system for jobs and workforce plays an important role in these conditions. Because with the existence of recommendation system that can help from both sides, it will speed up the meeting between companies that need workers and workers who need jobs. Based on the test have been carried out, the recommendation system using the TF-IDF model can provide good recommendations based on the calculation of the Mean Reciprocal Rank getting 0.857 and Mean Average Precision of 0.833, where these results are quite good.
Aplikasi War Game Pada Mobile Device Menggunakan Sensor Gyroscope dan Accelerometer Djuvan Pranoto; Andreas Handojo; Gregorius Satia Budhi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Currently technology has developed very rapidly. Along with the development of today's technology, a lot of games - games that have sprung up. The fact is that the game has become a daily activity in society. In today's technological developments, almost everyone has a mobile phone. Where this phone is easy to get and is very flexible. By combining current conditions, this research takes advantage of current technological advances and utilizes the flexibility of mobile phones to be implemented into an application that will become a means of shooting games. This application uses gyroscope and accelerometer sensors to complete this research. The goal is to create new interactions and experiences in mobile games and to create flexible shooting games using today's technology. The result of this research is the success of creating a war game. Which is where this application requires a strong signal and stable internet speed and must be played in an open place. On the other hand, this application has succeeded in providing accurate bullet trajectory distance calculations and bullet estimates with an average difference of ±1-3 meters.
Sistem Pakar Diagnosa Kerusakan Pada Mobil Toyota Innova Dengan Metode Backward Chaining Dan Certainity Factor Jason Aldrian; Djoni Haryadi Setiabudi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Car is one of the transportation that used commonly by human. Toyota Innova is one of the most favorite family car in Indonesia. Toyota Innova has a lot of type and variations that need to be handled. There is Manual transmission and Automatic Transmission. Damage to car cannot be taken so easily, Not only big damage that can cause breakdown. But small problems or damage to car can cause breakdown or failure, Small damage is need to handled too as important as big damage so it would not become fatal damage. Diagnostics on the car for people who don't really understand cars can be really confusing and the number of repair shops that are not honest in diagnosing damage will cause losses for car owners. If in an urgent situation this system can be used to find out what damage has occurred and make it possible to check and repair the damage to the car that occurred. This Expert System for Damage Diagnosis on Toyota Innova is using Forward Chaining and Certainty Factor as it’s method. Backward Chaining on this expert system is for collecting symptoms and facts that come into some conclusions so users don't have to answer all the questions. And the usage of Certainty Factor on this system to show the percentage of system belief on the diagnosis. So user can trust on the result of diagnose. The results of tests that have been carried out 20 times from tests by experts, There is 19 results that suitable with expert opinion. There is 1 result that is not suitable with expert opinion because of the inaccuracy of the CF percentage. As of that result user can still look for the solution in the damage encyclopedia. In this test, the percentage for detecting damage to the Toyota Innova car using the Backward Chaining method and Certainty Factor is 95% in accordance with expert opinion.
Sistem Tracking Pengiriman Barang Pada PT. Afro Angkasa Express Dengan Menggunakan Framework Laravel 8 Michael Yohanes Wicaksono; Alexander Setiawan; Kartika Gunadi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In this era of globalization, it is increasingly common for people to shop and sell their goods online. So that more and more shipping companies are there. With the increasing number of existing freight forwarding companies, PT Afro Angkasa Express must offer convenience and features to attract customers. The design of this goods delivery tracking system is intended to make it easier for PT Afro Angkasa Express customers to track goods. In addition, customers can place orders more easily through the website. Customers will also be provided with features such as on-site pick-up, so that PT Afro Angkasa Express will become one of the community's mainstays for goods delivery solutions. The Laravel 8 framework has advantages compared to other frameworks such as the Templating Engine feature that can design unique layouts and also reduce the impact of XSS (Cross Side Scripting) attacks.
Penerapan Metode Multiplicative Decomposition dan Autoregressive Integrated Moving Average dalam Prediksi Penjualan Produk Manufaktur pada PT. XYZ Melvin Soeharto; Silvia Rostianingsih; Leo Willyanto Santoso
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

PT. XYZ is a company engaged in the manufacture of drinking water (AMDK). PT. XYZ conducts product sales transactions in large quantities every day, so the large number of existing sales transactions will certainly affect the daily necessities inventory in the company. The problem that occurs in the company is regarding overstock and understock. Based on the problems that occur, the researchers will apply the Multiplicative Decomposition and Autoregressive Integrated Moving Average (ARIMA) methods to process a large number of sales-data which is used as information. So, the purpose of this study is to implement the Multiplicative Decomposition and Autoregressive Integrated Moving Average (ARIMA) methods to predict sales of mineral water goods at PT. XYZ. The test system will use the Mean Absolute Percentage Error (MAPE) method.
Sistem Backend dari Aplikasi Mobile dan Website untuk Sistem Registrasi, Reservasi, dan Identifikasi Penumpang Shuttle Bus UK Petra Michelle Christiana Chandra; Rolly Intan; Liliana Liliana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

In 2022, Petra Christian University (PCU) launched its shuttle bus program exclusive to the academic community of PCU. This bus operates by picking up and dropping off passengers on the route of West Surabaya – PCU and vice versa. There are overwhelmingly many more members of the academic community of PCU residing in West Surabaya compared to the capacity of the shuttle bus. Registration, reservation, and identification systems are necessary to resolve this problem. The registration system ensures that the passengers are members of the academic community of PCU. The reservation system supports passengers in booking seats for the desired trips. The identification system authenticates the passengers when boarding the shuttle bus. The PCU shuttle bus program is operational and has been using the deployed application properly. Every function and API in the application passes the designed feature testing and matches the appropriate expectations. A survey was conducted of 76 passengers and 1 admin and 2 drivers were interviewed. From 76 passenger respondents, the average satisfaction score is 4.259 out of 5. From the 2 driver interviews, the application received a score of 8 and 10 out of 10. And lastly, the average satisfaction for the admin system and website is 4.75 out of 5.
Sistem Rekomendasi Pembelian Laptop dengan K-Nearest Neighbor (KNN) Sheeren Hendrik Anggela; Leo Willyanto Santoso; Justinus Andjarwirawan
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Abstract

Over a decade, the number of people who needs a laptop for their job is increased because of its slim design and internal battery that makes it easier to carry anywhere, if compare to an old-fashioned computer. However, the choices of laptop specifications are various, namely the laptop model, brand of the processor, the speed of processor, size of the screen, RAM, price, etc. Not all people knows the indicator of choosing the laptop that fit to their wants and needs. In this study, the process of recommendation system is used a methods namely K-Nearest Neighbor Collaborative Filtering. This method will estimate the distance with Euclidean formula between the users' criteria and the survey. The closest distance is considered as the recommendation. The data testing is done through counting the accuration based on the recommendation's result which is given to the user. The survey is used for counting the total of valid recommendation. he results of this study using a satisfaction survey that has been surveyed to 10 laptop shop employees. Based on the survey results, average accuracy of testing the recommendation results is 84%. Testing the appearance of the website is also quite good because most users give a value or rating of 4 or 5. Based on the testing results, it can be concluded that the appearance of the website and the results of recommendations with the K-Nearest Neighbor method is pretty good because they are in accordance with the criteria and needs of users.

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