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Aplikasi Pengelola Tamu Wedding berbasis Mobile Android Winata Sukiman; Agustinus Noertjahyana; Anita Nathania Purbowo
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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In a wedding there must be guests who have been invited by the person who has the wedding event. It is clear that the presence of the guest is very important because it supports in enlivening the wedding. Of course, guests who have been invited by the bride and groom are guests who are highly expected to attend the wedding. When we invite guests to attend a wedding, it is necessary to share the invitation to let them know that they will be invited to attend the wedding.In this thesis, a guest management application based on mobile android will be created. The guest manager in question is managing guests in terms of sending invitations and reception. Delivery of invitations through the application is done by sending an invitation via e-mail. The wedding invitation also contains applications that must be downloaded guests because in the application there is a qr code as a marker of guest identity. In addition, if there is a door prize, then drawing or taking door prize winners is done in the application. In the application there is also a wedding schedule and there is a google maps direction if there are troubled guests looking for the location of the wedding. While in terms of reception is done by doing a scan there is a qr code that is in the application. So that when the guest comes, only with the qr code, the guest identity can be known. If the guest forgets to download the application then guest searches can be based on names.The final result of this thesis is the guest management application can help in sending wedding invitations and help reduce the queue that is available at reception.

Aplikasi Pengaturan Menu Makanan Diet Menggunakan Metode Genetic Algorithm berbasis Android Nita Hidayat; Andreas Handojo; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

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A diet is a healthy lifestyle that helps people control their eating habits with losing weight as the main goal. As time goes on, diet has also been developed into various types and each type of diet even has specific goals for people certain allergies or diseases. However, often people are less able to apply a good and correct diet because they do not know what type of diet is suitable and how to set the right food menu.To help people go on a diet, an application is made that can adjust the diet food menu according to the person's condition based on the profile data entered into the application. The method used in creating the diet menu is Genetic Algorithm. This diet application was created and developed for smartphone. The results of the application will provide a food menu arrangement for a week in accordance with user profile data.The test results show that the factors that influence the length of time running the Genetic Algorithm process are the number of epochs and the number of population used. The greater the number of epochs or the amount of population used, the longer the running time duration of the Genetic Algorithm process.

Aplikasi Simpan Pinjam Koperasi Karyawan Universitas Kristen Petra Berbasis Website Ivan Eko Novianto; Andreas Handojo; Anita Nathania Purbowo
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Petra Christian University Cooperative (UK Petra) is a cooperative that has 2 businesses namely self-service and cooperatives. The cooperative itself has 2 programs, namely savings and loans. At present the UK Petra cooperative only has programs offline. The programs owned by the UK Petra cooperative can only be accessed by cooperative officials and some activities such as member registration, periodic deposit applications, long-term submissions and loan applications are still using paper. In addition members if you want to know information such as periodic deposit balances, how much loans or installments the remaining is very difficult to know because members must go or ask or call the cooperative management. This is felt to be very less effective in disseminating or facilitating information.Seeing this problem, then in this thesis a website information system will be created. This website can do such as submitting periodic deposits, submitting long-term deposits, applying for loans, can see cooperative financial information.the final result of the thesis is that the system has been able to send notifications online via email based on internet speed, the system has been able to submit applications online, the system has been able to perform periodic savings calculations, self-help time deposits and loans and the system has been able to help the cooperative in looking at financial conditions members in terms of savings.

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)
Publisher : Jurnal Infra

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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%.

Implementasi Convolutional Neural Network untuk Mengetahui Buah Tomat yang Matang pada Pohon Tomat Menggunakan Perangkat Android Timothy Christian Yunanto; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

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The development of instant era makes people want something that fast and efficient. As we know, picking ripe tomatoes on the tree requires a long time if done by humans. To solve these problems, automatic robots are used that can replace the role of humans. To get a successful automated robot requires the creation of efficient algorithm function (program). The Program can be run on an Android Device. We use Blob Detection method on Computer Vision, and the result will be processed by the Convolutional Neural Network method. CNN method requires to determine whether the object is ripe tomatoes or other objects. Blob Detection is used to detect tomato objects based on previously obtained masks. Before doing the training, it is necessary to make a model that contains convolutional layer, max polling layer, flatten layer, dropout layer, and dense layer. The test is carried out with a scenario study and several cases such as bunched tomatoes, scattered tomatoes, tomatoes whose masks are not oval, and so on. The results show that the results of CNN are very dependent on the results of Blob Detection because the input from CNN is from the result of Blob Detection. If Blob Detection fails to get the tomato object, CNN will not run properly. The results show that Blob Detection will fail to detect the tomato object if the tomato is blocked by another object which causes the mask shape of the object to be chaotic. The test results from CNN also showed an accuracy value of training of 96% and testing accuracy of 93%.

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)
Publisher : Jurnal Infra

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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.

Implementasi Algoritma YOLO pada Aplikasi Pendeteksi Senjata Tajam di Android. Christopher Nathanael Liunanda; Silvia Rostianingsih; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

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Advances in computing power have exceeded traditional smartphone needs. Object detection requires high computational power. Tensorflow Lite can be used to run models quickly and easily to mobile devices. The YOLO network was used because of faster and more accurate performance than other similiar networks. The object to be identified are bladed weapons that are knifes and machetes. Bladed weapons are selected because of potential applications in the real world.The trained models are YOLOv2-tiny, YOLOv3-tiny and YOLOv3. Transfer Learning is done to these models with Darknet so that YOLO can detect the desired weapon. Darknet model will be converted to Tensorflow Lite. Model testing is done by looking at some standard accuracy metrics such as precision, recall, mAP, and the average IoU. The model with the best performance will be installed in the Android application to detect bladed weapon objects knifes and machetes.The test results show that the performance of the model is very dependent on the type of network, the number of datasets, and the shape of the dataset. YOLOv2-tiny produces the worst result with mAP of 55% and average IoU of 35%. The final accuracy for Tensorflow Lite Android model are 72.7% for YOLOv3 and 63.6% for YOLOv3-tiny. The YOLOv3-tiny network is suitable for real-time detection because of fast inference time (0.9 seconds).

Aplikasi Penentu Pendonor Darah Potensial di Surabaya Menggunakan Support Vector Machine berbasis Android Gita Berliany Karaeng; Andreas Handojo; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

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Blood deficiency will be fatal for human body. However, human cannot create nor made blood, so therefore blood donor event is created to gather blood supplies. Blood donor is a voluntary Activity there is no exact amount of blood supplies to be known or predicted. For now, there are little to no media that help people to access the information around blood donor. That is why we need a system to predict potential amount of blood donors in the future and to provide information about blood donor activities.The application will cover two major thing, administrator website application and Android application for donors. Administrator website will be used to organize blood donor activities data. Android application will be used to provide information about blood donor activities to the user. The system can also predict potential donors using Support Vector Machine.The expected product of the program is a system that manage the blood donor activity. Any information about blood donor will be presented to the donors with the Android application. From the experiment and testing, the system can predict the amount of potential and not potential donors in a specific location at a specific time in a certain period.

Implementasi Tesseract OCR untuk Pembuatan Aplikasi Pengenalan Nota pada Android Yoel Andreas; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

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The development of a practical era makes humans more inclined to find a fast way to do something. The same thing when we want to record the expenses we have spent in the day, of course it takes time to do it. To solve this problem, you can use the application to read the receipt using the Android device's camera, the application can help to record expenses and categorize their expenses. To achieve this, it is necessary to do Optical Character Recognition which can be done using Tesseract-OCR. The results will be processed to get expenses, categories, and item names. To get maximum results, several stages of pre-processing are needed on the image to be used. The test is carried out with a scenary study and tried several cases, for example notes with dotted fonts, or notes that have many lines. The test results show that the OCR results from the Tesseract are very dependent on the pre-processing stage being carried out. Tesseract itself will experience a decrease in performance when processing images with dotted fonts. If the pre-processing stage cannot unite separate letters due to dots, the tesseract has a very drastic decrease in accuracy. Notes with multiple lines also reduce the performance of the tesseract. The results of the tesseract when conducting Handwritten Character Recognition are also affected by how the handwriting are written, if the handwriting is cursive or not neat, then the tesseract will have difficulty in carrying out the HCR process.

Aplikasi Marketplace Lelang Berbasis Android Bravery Victorian Minggara Putra; Lily Puspa Dewi; Anita Nathania Purbowo
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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One way someone "sells" the item is through an online auction. There are already many online auction sites on the internet. However, most auction sites only cover certain categories of goods, such as motorized vehicles or land. In addition to auction sites, there are also several communities that conduct auctions through social media. However, auction using social media also has it shortcomings, such as an ambiguous system because there is no dedicated system on social media specifically made for auctioning.To answer this problem, an application designed specifically for conducting online auctions which is not limited by certain categories. The application can be used as a medium of trading for its users, and also can accommodate many users to conduct auctions in accordance with the system and the rules that apply in general.The results of the tests indicate that the application can receive every auction data, bid, and transaction that is carried out. The application can also connect multiple users in the auction and transaction process.

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