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INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 1,326 Documents
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Penerapan Metode YOLO dan Tesseract-OCR untuk Pendataan Plat Nomor Kendaraan Bermotor Umum di Indonesia Menggunakan Raspberry Pi Eric Tirtana; Kartika Gunadi; Indar Sugiarto
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Parking system is a common thing to find in public places. Parking system usually comes with a program that enables to detect and read license plates. With the advancement of technology, there are many systems / programs that are able to automatically detect and read license plates, but they come with a costly price. In this research, Raspberry Pi 4 will be used as the main platform. With the usage of Raspberry Pi, it is expected to reduce the cost needed to achieve the same output. However, by using Raspberry Pi, the hardware specifications are not as good as computer in general. In this research YOLO will be used to detect the license plate and Tesseract-OCR is used to read the characters on the license plate. From this research, it can be concluded that program can implement YOLO and Tesseract-OCR to detect and read public transportation license plates while being run on Raspberry Pi 4. To get the optimal results, the input image needs to be taken at daytime, using high quality camera, and implement only the necessary pre-processing methods.
Analisa Kinerja Apache dan Nginx dalam Arsitektur Microservice Menggunakan Siege Howard Christopher Yoel Unsong; Justinus Andjarwirawan
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

From the existing problem, there is how to make sure that an API with an internal network will not slow down the response time overall and how to use load balancer results without scalability. This thesis aims to solve this problem by analyzing the performance of the web service on the microservice architecture between apache and nginx by using siege on IP version 4. The method used is qualitative, which distinguishes it from other studies, this study uses a microservice architecture and uses siege as a tool to run scenarios that are tested. The result is that the apache web server works better than the nginx web server in response time and throughput, but the nginx web server hits transactions more than apache . The conclusion is in accordance with the emphasis in the problem formulation, so that the performance of the apache web server is better.
Sistem Pencarian Rute untuk Salesman menggunakan metode Saving Matrix dengan Harmony Search pada Android Lukas Fernando Hunggianto; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Technology is growing at faster rate. Smartphone usage becomes one of the requirements to do many kinds of things. The majority of smartphone users currently using Android because it has a affordable price. Global Positioning System Technology (GPS) nowadays is easy to use can be applied to many things. One of them is application of tracking device. In the PT. X. , this technology can be used to do product review after-sales. Sales at the PT. X has a job that has been given by their supervisor to do product identification for their installed GPS device. This product that need to be identified is widely spread in Indonesia. For this research, they are using perfected saving matrix method using harmony search to produce short distance travel. At testing it will be compared between only saving matrix, harmony search, and both of the saving matrix and harmony search. The results obtained all the features can run well. The route calculation using the saving matrix method with harmony search gets test results in area 1 with 34 destination points, the average saving is 4.163%, while in area 2 with 38 destination points, the average savings is 1.789%.
Sistem Pakar Pendiagnosa Infeksi Saluran Pernafasan Akut (ISPA) dengan Metode Forward Chaining dan Certainty Factor Samuel Njoo; Kartika Gunadi; Henry Novianus Palit
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Acute Respiratory Infection (ARI) is a group of diseases that are quite common in developing countries, including Indonesia. ARI consists of various diseases and has a very varied possibility of symptoms. If not detected and treated immediately, ARI can get even worse and can lead to death. With an expert system, users can quickly self-diagnose without worrying about the cost or time required. The knowledge possessed by the expert system also comes from doctors in their fields.The expert system will be built with the help of 2 (two) methods, namely the forward chaining as an inference method and the certainty factor as the calculation method. With the forward chaining method, the system can provide information such as what disease the user is suffering from directly after the user fills all the questions that will be asked by the system. In addition, with the certainty factor method, the system can provide information like how sure the system in providing diagnostic results and is intended in the form of a percentage, the user is also presented with several answer choices so each user's answer choices will have an impact on the final diagnosis result by the expert system.The system will be tested by 3 related experts and the accuracy of system diagnosis is 75%.
Analisa Forecasting Pada Penjualan Pakaian Di PT X Andreas William; Silvia Rostianingsih; Yulia Yulia
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

PT X is garment company based in Surabaya that distributing clothing goods to Department Stores throughout Indonesia. PT X have an accumulation of goods in every Department Stores that are related as their business partners. This has an impact on the company's losses because high production costs do not match the remaining stock of goods in each store. Therefore, PT X needs an application that can forecast the number of categories of goods that will be sold in the future. Analysis of sales forecasting methods at PT X uses four different forecasting approaches, consists of Single Moving Average (SMA), Weighted Moving Average (WMA), Brown's Double Exponential Smoothing, and Holt’s Double Exponential Smoothing. The results of sales forecasting analysis on 4 categories of goods in the form of long blouses, short blouses, dresses, and robes from one of the stores, namely MDS Delta Plaza, show that the most appropriate method for PT X is Holt’s Double Exponential Smoothing (HES). The Mean Absolute Deviation (MAD) error value and the Mean Squared Error (MSE) of each category have the least value of the other methods.
Aplikasi Transaksi Bisnis Usaha Mikro Kecil dan Menengah dengan Fitur Penyimpanan Data Online dan Offline Michelle Florensia; Silvia Rostianingsih; Andreas Handojo
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Micro Small and Medium Enterprises (MSMEs) today are still many who do manual recording using paper so that often causes miscalculation. In addition, MSMEs are also unable to provide information quickly because information is not distributed. MSME actors also need time in analyzing sales. Therefore, a system is needed that can help MSMEs to record and calculate stocks and profit/loss statementsSeeing the problem, then this thesis will be created a website with the feature of recording goods, buying and selling transactions, and the calculation of profit/loss. In addition, the website is equipped with online and offline data storage features so that users do not have to be connected to the internet. The system is made based on a website so that MSMEs can access the website through a smartphone or laptop. The system will be created using the PHP 7 programming language, download the cache using the Service Worker as well as use the CouchDB online database and the PouchDB offline database.Based on the results of this thesis research can be concluded that the use of the website can help MSMEs in recording the business process. Websites can also run without an internet connection, but pages must be loaded one by one. Memory usage is also small enough that it does not interfere with the performance of the device. This website can be developed further by adding features and easier to do cache downloads
Analisa Audio Features dengan Membandingkan Metode Multiple Regression dan Polynomial Regression untuk Memprediksi Popularitas Lagu Billy Faith Susanto; Silvia Rostianingsih; Leo Willyanto Santoso
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Songs are artistic works that expresses ideas and emotion in the forms of rhythms, melodies, and harmonies. Songs are the source of huge profit for musicians or artists from commercial view-point. Based on the data from IFPI, the earnings from the music industry in 2019 reached US$20.2 billion, in which 56.1% of them came from streaming revenue. Spotify is one of the largest and most well-known streaming services in the world today. This research aims to make predictions of popularity from each song according to the audio feature data taken from Spotify's API. The process of prediction will use 2 regression methods, which are Linear Regression and Polynomial Regression. The model will be made using those 2 methods and will be tested with the R2, Adjusted R2, MAE, and MSE metric systems. From the analysis of the implementation to the program, the Linear Regression method had garnered the average results as follows: 0.23614 for R2, 0.23536 for Adjusted R2, and had average errors 17.38129 for MAE method, 442.31700 for MSE method. Using the Polynomial Regression method, the average results were: 0.31496 for R2, 0.25880 for Adjusted R2, and had average errors 16.47367 for MAE method, 409.76242 for MSE method.
Sistem Pendeteksi Kebakaran dengan Arduino pada Gudang Gideon Ekacipta Hutama; Agustinus Noertjahyana; Resmana Lim
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Fire is undesirable but fire is unavoidable. Individually owned warehouses that are small to medium in size usually do not receive sufficient supervision. Therefore we need a smart system that can provide information to the owner about the state of the warehouse in real time so that the owner can receive notifications quickly in the event of a fire. Internet of Things as a platform where every tool is getting smarter, every process is smart, and communication is getting more informative every day. The Internet of Things through its development has provided us with many new technologies that enable tool-to-tool communication, as well as tool-to-human communication. From this technology allows us to create a suite of tools that function to monitor the warehouse for us and give us notifications in case of fire. From the tests conducted by the author, it can be seen that the level of smoke density that causes fires is around 5000PPM after being compared with similar products on the market. From the test it was also found that the average notification delay is 3.8 seconds which according to the ITU-TG.1010 standard is for delay (end to end <10s) so 3.8 is a good delay and meets these standards.
Aplikasi Mobile Informasi Fase Bulan Dengan Perhitungan Astronomi Untuk Pengikut Kejawen Gordon Kusuma Kahono; Henry Novianus Palit; Anita Nathania Purbowo
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

The abdi (kejawen followers) still use the Javanese calendar and the moon phase for their daily needs, usually the servants use them to find a good day to perform rituals or meditation and events. The Javanese calendar is one type of lunar calendar (moon) where the calendar is based on the position of the moon. The moon is illuminated at night, and the illumination produced by the moon is different every day because the moon's illumination depends on the phase of the moon. The moon has complex parameters, namely in addition to the phase there is also the distance, and position to the Sun, and the Earth. Abdi did not understand about good ritual days, before that the servants waited for orders from the king to carry out rituals. Therefore, we need an application for moon information in the form of moon phase, moonlight, moon position along with the Javanese calendar with the Android platform. The proposed application also has features that can help abdi to perform rituals on the appropriate day. The application is also designed in a simple way so that the application is easy for abdi to understand. To obtain lunar information, an astronomical calculation system is used, where for the initial data obtained from astronomical calculations in 1990 for moon and sun data. The results of the application have been tested with moon information with test data, with the result that the difference from moonlight is 0.2%. The results of the application have been surveyed to determine the level of user satisfaction. Abdi will be helped by the application features provided.
Pengelolaan Keuangan Pribadi yang Interaktif Berbasis Android Giovanni Christian Antonio; Rolly Intan; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Technology is currently growing. Many people use smartphones in everyday life, especially Android. In Android, there are many applications that help make everyday life easier for example, applications that help with personal finance. The problem that the author wants to solve is personal finance applications between applications with different features and completeness for recording. In solving this problem, the author adds features from existing personal finance applications such as speech to text for input, recurring transactions, and calculating installments whether you can pay in installments or not. Based on the results of the tests that have been carried out, the application made is successful in recording finances and adding good features such as speech to text, recurring transactions, and calculating installments by looking at income and expenses. The results of the questionnaire show an average of 4.54 for interactive personal financial management applications.

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