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Anita Nathania Purbowo
Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
Computer Science & IT

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Sistem Pengendali Lingkungan Greenhouse Dengan Wireless Sensor Network Untuk Mengoptimalkan Budidaya Hidroponik Kevin Hartono; Henry Novianus Palit; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Hydroponic cultivation is currently widely used because its various advantages. However, it is undeniable that it still has shortcomings because environmental conditions need to be engineered to resemble the conditions of the original habitat. The problem that is in this treatment process is human limitations in terms of consistencyIn this thesis, a trial will be carried out to help make it easier for users to maintenance consistently by implementing Internet of Things (IoT) technology in hydroponic gardens for monitoring and control automatically and consistently, with using sensors installed in the reservoir to get reservoir conditions and relays to regulate the flow of electricity to control environmental conditions. Furthermore, android application was developed to make it easier for users to monitor and control the hydroponic environment. So, the result is a monitoring system that can take data on several parameters, as well as controlling environmental conditions automatically by flowing the controller fluid into the reservoir, and an Android application to access measurement data that has been done previously.
Penerapan Metode Convolutional Neural Network Untuk Clothing Image Recognition Fuyi Gunawan Putri; Justinus Andjarwirawan; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Object recognition is a development of the world of AI (Artificial Intelligence) which is used to recognize objects in digital images. Various kinds of recognition can be done with Clothing Image Recognition. In the global industrial era, development of fashion type and variant makes it difficult for people to recognize, for example topwear has variants ranging from sweatshirts, kurtas, waistcoats, etc. This makes users hard to distinguish categories from types of clothing. In fact, users often forget or didn't know the name of a clothing type that they want to find because they just remember the shape.Clothing image recognition uses the CNN (Convolutional Neural Network) method with the VGG16 model. The application of CNN with the VGG16 model will be carried out on Python and Keras as the library to speed up the research process on training data. Application of the program to mobile devices using Android Studio with the Kotlin programming language, with the help of the Tensorflow Lite library as machine learning on mobile devices. The results of this thesis show an accuracy of 81.83% for training data in epoch 1 and 82%-94% for training data in epoch 10 on clothing image recognition.
Aplikasi Sistem Pakar Rekomendasi Makanan untuk Memenuhi Kecukupan Gizi William William; Kartika Gunadi; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 1 (2022)
Publisher : Universitas Kristen Petra

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Nutrition problems are one of the common problems in Indonesia. The lack of knowledge about nutritional needs is one of the main causes of nutritional problems. To avoid nutrition problems, everyone needs to know their daily calorie needs so they don’t eat more or less food than the required calories. Eating more than the required calories can lead to obesity while eating less than the required calories can lead to malnutrition. This research was made to help reduce nutrition problems by creating an application that can help users to know their daily calorie needs and provide food recommendations that suit their caloric needs. By using the forward chaining method to collect personal data from user and the genetic algorithm method to filter food to be recommended.Based on the results of the program test conducted, the genetic algorithm method used was successful in filtering food and recommending it where the total calories from the recommended foods are close to the users total calorie needs although not perfect and sometime still exceed the calories needed but not in large amounts. The list of food menus used as a reference is a balanced diet according to Ministry of Health, but further researchers can use other references. 
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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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%.
Penyuaraan Pesan Teks Media Sosial Pada Perangkat Mobile Menggunakan Text To Speech Michael Alexander Rustan; Anita Nathania Purbowo; Liliana Liliana
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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The use of smartphones as a communication tool will increase along with the increase of smartphone users. Based on the data obtained, in early 2021 there are around 167 million smartphone users in Indonesia. The use of smartphone as a communication tool to send messages in its use can also start to annoy people when they are doing activities that require concentration, for example, such as driving. In 2017, there were about 15,341 cases of accidents in America caused by drivers using smartphone. To overcome this problem, the text to speech feature will be used to voicing the incoming messages so smartphone users do not need to open their smartphone to find out the sender and the contents of the message. The results of the tests that carried out on the usage on text to speech feature showed that the system can voiced the incoming messages well. For messages that have abbreviated words, the text to speech feature cannot voiced them properly. As for the tests carried out on the feature to detect the message, the system can detect some message data such as the package name of the application, the sender's name, and also the message content properly. For messages received through group chat, the detection results from the line application, and the whatsapp application have problems, so there are obstacles in the process of voicing group chat messages on the line application and whatsapp applications.
Implementasi Framework Scrum Pada Aplikasi Project Management PT. Rutan Berbasis Mobile William Evan Budiawan; Yulia Yulia; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Project management is the process of planning and controlling an ongoing project. Nowadays, a lot of companies started to divert their current systems into digital formed systems, which can be accessed anywhere, everywhere. PT. Rutan as a company that prioritizes innovation, plans to digitalize the current existing project management system. Until now, PT. Rutan has no active management system that controls the performance of the company’s employees, and almost everything was done manually. In this research, a mobile application and a website was designed and developed to assist PT. Rutan in project management. The framework which will be implemented in the mobile application is the Scrum framework. The usage of the Scrum framework has been proven to improve task monitoring, task assignment, project scheduling, and evaluating the project. Based on tests conducted using a questionnaire at the Department of Information and Technology of PT. Rutan, the mobile application and website that have been developed have successfully helped in organizing, managing, and controlling project tasks. Overall, the mobile application and website created were also given a very good score by the Department of Information and Technology of PT. Rutan.
Penerapan 3D Human Pose Estimation Indoor Area untuk Motion Capture dengan Menggunakan YOLOv4-Tiny, EfficientNet Simple Baseline, dan VideoPose3D Gerry Steven; Liliana Liliana; Anita Nathania Purbowo
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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Human pose estimation is a research topic that has goal to estimate every human’s keypoint coordinate that can be connected and make a human skeleton. The development of this topic can be applicated to human activity recognition, human tracking, and motion capture for film and animation. There are several challenges for this topic: diverse human pose, diverse body appearance from clothing and similar parts, and complex environment that may cause foreground occlusion. There are several methods to be used in this research: YOLOv4- Tiny, EfficientNet Simple Baseline, and VideoPose3D. YOLOv4- Tiny will process image input to get bounding box coordinate. This coordinate will be inputted to EfficientNet Simple Baseline modification to get 16 keypoint 2D coordinates. After that, VideoPose3D will processed 2D coordinates into 15 keypoints 3D coordinates. The result from this research is EfficientNet Simple Baseline modification is faster with 4.54ms time compared to its original with time of 5.15ms. Although faster, its modification has its own downside. In term of accuracy, modification still less accurate than its original with highest average Percentage of Correct Keypoints head (PCKh@0.2) 86.89%, and original with PCKh@0.2 89.62%. This affect 3D human pose estimation using VideoPose3D, where using EfficientNet modification resulting Mean Per Joints Position Error (MPJPE) 25.3 mm compared to original Simple Baseline resulting MPJPE 28.1mm.
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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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.
Co-Authors Fuyi Gunawan Putri Gerry Steven Henry Novianus Palit Justinus Andjarwirawan Kartika Gunadi Kevin Hartono Liliana Liliana Marcel Slamet Sugianto Michael Alexander Rustan Nicky Nicky William Evan Budiawan William William Yulia Yulia