The Song Recommendation System Based on User Schedule project is designed to provide users with personalized music recommendations that match their daily activities and mood swings. With a busy and ...hectic schedule, it can be challenging to find time to select music that matches a user’s current activity and mood. This project aims to provide a solution to this problem by analyzing the user’s daily schedule, including their planned activities and time of day, and using machine learning algorithms to recommend songs that fit their mood and energy level during each activity. The project utilizes a variety of technologies, such as React.js for the front-end and various machine learning algorithms using python for the back-end, to provide a user-friendly interface that allows users to input their schedules and receive song recommendations.
Nearly half of Indonesia's population suffer from dehydration. THIRST Research (2009) proves that Indonesian still have a low awareness of drinking water. Consuming enough water can be a way to ...prevent dehydration. Smart Bottle application is able to provide amount of daily water needs based on user's profile that is registered. The problem in calculation of water consumption can be overcome by using Waterflow Sensor calculation data. The Implementation result of Smart Bottle application proves that the water needs of each person can be known, the water that has been consumed can be automatically calculated, and push notification can be a reminder about drinking water to the Smart Bottle users during their busy life. In this paper, hybrid application for android has been implemented using Ionic Framework and Laravel, then send notification using Firebase Cloud Messaging.
Mental health disorders increasingly affect people worldwide. As a consequence, more families and relatives find themselves acting as caregivers. Most often, these are untrained people who experience ...loneliness, abandonment, and often develop signs of depression (i.e., caregiver burden syndrome). In this work, we present HIGEA, a digital system based on a conversational agent to help to detect caregiver burden. The conversational agent naturally embeds psychological test questions into informal conversations, which aim at increasing the adherence of use and avoiding user bias. A proof-of-concept is developed based on the popular Zarit Test, which is widely used to assess caregiver burden. Preliminary results show the system is useful and effective.
Hanyu Shuping Kaoshi (HSK) merupakan sebuah tes kemampuan berbahasa Mandarin berstandar internasional dimana untuk mempelajari HSK dibutuhkan biaya yang tidak sedikit per pertemuannya. Pada aplikasi ...yang telah ada, untuk mempelajari HSK dari level 1 hingga 6, pengguna harus meng-install aplikasi secara terpisah sehingga penggunaan memori tidak efisien. Dari permasalahan tersebut maka dibangunlah Hanyu Shuiping Kaoshi (HSK) mobile learning ini. Sistem ini berisi HSK level 1 hingga 6 dan menggunakan voice recognition untuk mengetahui pelafalan setiap kosakata. Penyimpanan data pada aplikasi ini menggunakan database MySQL untuk menampung materi dan kosakata, serta database Firebase untuk menampung forum dan personal chat. Sistem ini terbagi atas 3 platform yaitu 1 aplikasi Android member, 1 aplikasi Android admin, dan 1 web admin menggunakan PHP. Berdasarkan pengujian fungsionalitas yang dilakukan, sistem yang dibangun telah berjalan sesuai dengan fungsinya. Pada pengujian usabilitas yang dilakukan oleh 55 orang terhadap aplikasi member diperoleh nilai sebesar 81,2 dan 81 untuk aplikasi admin yang menunjukkan bahwa kedua aplikasi yang dibangun dinilai acceptable. Pada pengujian expert review diperoleh bahwa aplikasi ini telah sesuai dengan standar HSK sehingga sesuai untuk pengguna yang ingin mempelajari HSK. Pada pengujian berpasangan (paired sample), didapatkan rata-rata nilai pengguna sesudah menggunakan aplikasi (160,27) > rata-rata nilai pengguna sebelum menggunakan aplikasi (200,31), sehingga aplikasi ini berhasil secara signifikan. Dengan ini maka dapat disimpulkan bahwa aplikasi yang dibangun ini dapat menjadi solusi untuk memudahkan penguna mempelajari HSK.
In this paper, to prevent accidents of school vehicles used by students, which have emerged as a continuous social problem, a boarding and leaving notification system using Bluetooth beacons is ...proposed. The platform structure uses Bluetooth, a smartphone, and an application, and provides real-time message reception between parents and teachers. It is not simply a system with Bluetooth capability alone, but also an IcT technology that is closely related to real life using two-way communication. The purpose is to provide user-friendly ICT technology as an integrated system for more practical effects. Twoway exchange of information between parents and teachers using cloud servers is made possible. By using this Bluetooth beacon notification system, safety accidents in student vehicles are reduced, which brings confidence from traffic accidents to schoolchildren of parents and teachers. Therefore, it is expected that parents and teachers are expected to improve their mental stability and quality of life from traffic accidents. KCI Citation Count: 0
CROSS PLATFORM BASED SMART GREENHOUSE APPLICATION
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences,
12/2021
Conference Proceeding
Family Tracking is a mobile application that utilizes GPS technology to find out the location of each family member. There are several features such as the activity schedule, group chat, and the ...supervision area added by parents to the child's activity schedule. This application was developed with hybrid approach using Ionic 3 Framework development tools with support of Firebase backend. With the hybrid approach can produce multi-platform applications using the same source code. In this research the application was developed for the Android and iOS platforms. Based on functionality testing in accordance with ISO 9126-2 standards, that all features and functions contained in the application run well on both platforms. Then based on the application performance testing on each device that has the same benchmark value, the application can run stablen iOS devices but has the highest memory usage compared to Android devices with an average difference of 33.81mb. And then applications on iOS devices have lower CPU usage than Android devices, with differences in usage averaging 18.79%. Then based on the results of interviews to get user feedback, the results show that the application can running well and function as expected on Android and iOS devices.
The article introduces a novel strategy for efficiently mitigating COVID-19 distribution at the local level due to contact with any surfaces. Our project aims to be a critical safety shield for the ...general people in the fight against the epidemic. An ultrasonic sensor is integrated with the automated doorbell system to ring the doorbell with a hand motion. A temperature sensor Mlx90614 is also included in the system, which records the temperature of the person standing in front of the door. The device also includes a camera module that captures the image of the person standing at the front entrance. The captured image is processed through an ML model which runs at over 30 fps to detect whether or not the person is wearing a mask. The image and the temperature of the person standing outside are sent to the owner through the configured iOS application. If the person outside is wearing a mask, one can open the door through the app itself and permit the entry of the person standing outside thereby integrating the edge device with an app for a better user experience. The system helps in reducing physical contact, and the results obtained are at par with the already existing solutions and provide a few advantages over them.
In this study, we created a system that can determine the number of vehicles entering and departing a charging station in real time for solving waiting time problems during refueling. Accordingly, we ...use the You Only Look Once object detection algorithm to detect and count the number of vehicles in the charging station and send the data to the Firebase Realtime Database.
The result is shown using an Android application that provides a map function with the Kakao Maps API at the user interface side. Our system has an accuracy of 91% and an average response time of 3.1 s. Therefore, this system can be used by drivers to determine the availability of a charging station and to identify the charging station with the least waiting time for charging their vehicle. KCI Citation Count: 1
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