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Mommy Care: Inovasi Cerdas untuk Monitor Kondisi Ibu Hamil dengan Mikrokontroler dan Aplikasi
Get PDFMommy Care: Smart Innovation for Monitoring Pregnant Women’s Condition with Microcontroller and Application - Pregnancy is an important moment in a woman’s life. Therefore, monitoring the health of pregnant women is very important. This study aims to develop an application called Mommy Care that can make it easier for pregnant women to perform health checks quickly and gradually without being limited by space and time. This application is integrated with a microcontroller equipped with temperature, blood pressure, and heart rate sensors. The test results show that the designed device can work well and provide accurate health information. Thus, it can be said that the designed device can be used well and reliably. This study contributes to the development of e-health technology that can improve the quality of life and health of pregnant women in Indonesia
Prediksi Kanker Payudara Melalui Penerapan Algoritma C4.5
Get PDF[id] Kanker merupakan salah satu penyebab kematian baik di negara maju maupun di negara yang sedang berkembang. Kanker payudara merupakan kanker yang berasal dari sel-sel yang terdapat di payudara, bisa dari sel-sel saluran air susu atau sel-sel kelenjar penghasil air susu atau jaringan lain. Penyakit ini juga menjadi penyebab kematian utama karena kanker di Indonesia pada tahun 2012. Oleh sebab itu sangat penting untuk dilakukan deteksi dini terhadap penyakit kanker payudara agar dapat segera dilakukan pengobatan. Pada praktiknya, di dunia kedokteran seringkali data rekam medis seperti penyakit kanker payudara disimpan untuk berbagai tujuan. Namun kenyataannya, proses penyimpanan dan pengolahan data rekam medis di beberapa rumah sakit masih belum memanfaatkan media komputer sehingga data sering hilang ataupun rusak. Selain itu, data rekam medis yang tercatat dan terkumpul biasanya diolah dan dimanfaatkan menjadi sebuah pengetahuan untuk melakukan prediksi. Oleh karena permasalahan tersebut, maka perlu dibangun sebuah sistem informasi dengan penerapan Data Mining dalam dunia kesehatan khususnya pengelolaan data rekam medis. Tujuan penelitian menggunakan penerapan algoritma prediksi C4.5 adalah dapat menghasilkan pohon keputusan yang memiliki tingkat akurasi yang dapat diterima dan efisien dalam menangani atribut yang bertipe diskret atau numerik. Hasil penelitian menunjukkan bahwa penerapan algoritma Data Mining Decision Tree C4.5 digunakan untuk melakukan prediksi penyakit kanker payudara menggunakan data training rekam medis sebanyak 116 data dapat menghasilkan rule sebanyak 4 rule. Tingkat keakuratan dari algoritma Data Mining Decision Tree C4.5 cukup akurat karena dari 10 percobaan terdapat 9 percobaan yang mendapatkan hasil prediksi yang tepat sesuai rule yang ada.[en] Cancer is one of the causes of death in both developed and developing countries. Breast cancer is cancer that originates from cells in the breast, either from milk duct cells, milk-producing gland cells, or other tissues. This disease was also the main cause of cancer deaths in Indonesia in 2012. Therefore, it is very important to detect breast cancer early so that treatment can be carried out immediately. In practice, in the medical world, medical record data such as breast cancer is often stored for various purposes. However, the process of storing and processing medical record data in several hospitals still does not utilize computer media so that data is often lost or damaged. In addition, medical record data that is recorded and collected is usually processed and used as knowledge to make predictions. Because of these problems, it is necessary to build an information system with the application of Data Mining in the world of health, especially managing medical record data. The aim of research using the C4.5 prediction algorithm is to produce a decision tree that has an acceptable level of accuracy and is efficient in handling discrete or numerical attributes. The research results show that the application of the Data Mining Decision Tree C4.5 algorithm which is used to predict breast cancer using 116 medical record training data can produce 4 rules. The accuracy level of the Data Mining Decision Tree C4.5 algorithm is quite accurate because out of 10 experiments there were 9 experiments that obtained correct prediction results according to existing rules
Pola Arsitektur Enterprise untuk Platform Investasi Bersama
Get PDF[id] Sistem Crowdfunding menawarkan solusi bagi pelaku usaha mikro kecil dan menengah (UMKM) untuk mendapatkan modal usaha. Dimana pemilik usaha mendapatkan modal dengan cara menjual sebagian sahamnya kepada pemilik modal melalui platform crowdfunding. salah satu platform yang menerapkan sistem crowdfunding adalah SANTARA dan BIZHARE. Dimana proses bisnisnya adalah mempertemukan pemilik usaha dengan pemilik modal dalam satu platform untuk saling bertukar nilai. Pengembangan platform pada umumnya terfokus pada regulasi dan penciptaan nilai baru, tanpa mempertimbangkan keselarasan antara bisnis proses dengan teknologi informasi (TI), mengakibatkan proses dari sistem menjadi kurang optimal. Penggunaan arsitektur enterprise (AE) dapat menjembatani antara teknologi informasi (TI) dengan bisnis proses perusahaan. Arsitek Perusahaan dapat menggunakan pola AE sebagai solusi yang efektif dalam pengembangan sistem enterprise. Hal ini memberikan dampak dalam menghemat waktu dan sumberdaya serta memudahkan para pemangku kepentingan dalam memahami AE dan mampu merepresentasikan desain yang dapat digunakan kembali serta memodifikasi sesuai kebutuhan sistem yang akan dikembangkan. Tujuan dalam penelitian ini adalah untuk memodelkan pola AE pada platform Crowdfunding. Hasil dari pemodelan pola AE akan dilakukan evaluasi dengan membuat desain prototype serta pengujian menggunakan metode UAT.[en] The Crowdfunding system offers a solution for micro, small, and medium-sized enterprises (MSMEs) to obtain business capital. Business owners acquire capital by selling a portion of their shares to investors through a crowdfunding platform. One of the platforms that implements the crowdfunding system is SANTARA and BIZHARE. The business process involves connecting business owners with investors on a single platform to exchange values. Typically, platform development focuses on regulation and creating new value, without considering the alignment between business processes and information technology (IT), resulting in suboptimal system processes. The use of enterprise architecture (EA) can bridge the gap between information technology (IT) and company business processes. Enterprise architects can use EA patterns as an effective solution in developing enterprise systems. This has an impact on saving time and resources, facilitating stakeholders in understanding EA, and enabling the representation of designs that can be reused and modified according to the needs of the system to be developed. The objective of this research is to model EA patterns in the Crowdfunding platform. The results of the EA pattern modeling will be evaluated by creating a prototype design and testing using the UAT method
Implementasi Long Short-Term Memory pada Chatbot Informasi Akademik Teknik Informatika Unila
Get PDFThe times have made technology develop rapidly and rapidly, one of which is artificial intelligence. According to an Accenture survey, s can help organizations with up to 30% operational costs and users enjoy having 24/7 instant access to the answers they order. However, there are many organizations and companies that have not used s to facilitate business, one of which is the Informatics Engineering Study Program, University of Lampung (PSTI Unila). The purpose of this research is to able to apply the Long Short-Term Memory (LSTM) algorithm to the academic information at PSTI Unila and demonstrate the accuracy of the algorithm. Broadly speaking, this research consists of 4 stages: data collection and exploration, data preparation, building model and training, and testing the model. The model is tested using the user validation method which gets an accuracy of 99%. With these accurate results, this model is quite feasible to be used as a place for students to ask questions about PSTI Unila academic information
Implementasi Markerless Augmented Reality untuk Mendukung Penjualan Furnitur
Get PDFTechnological developments in recent years have experienced very rapid changes, especially in the field of promotion and visuals. With the development of techniques that affect these aspects, it brings many changes that make it easier for the community, and at certain stages become problem solvers. In this study, a markerless Augmented Reality (AR) application that supports furniture sales will be designed. This application allows users to see the desired furniture product in 3D without using a marker that can be run in real-time. So far, to see pictures of furniture products, consumers have to come directly to the store to see the products they need. Alternatively, consumers can view the catalogs available on social media at the store or stores they visit. This study uses the AR method without markers. This eliminates the need for users to use one or more markers as recognition targets to display visual objects in furniture products. Unlike other applications, this application can be used as a medium to support sales of furniture that is more attractive because it can provide detailed information about all furniture products that are visualized interactively in 3D so that it can support furniture sales promotions
Purwarupa RFID Student Smart Card Berbasis Raspberry pada Sekolah Menengah Kejuruan GT
Get PDFThe conventional attendance system has problems and raises many questions so that administrative management becomes less effective and efficient. The focus of research is on making attendance tools an automatic attendance system by utilizing student cards as a tool to collect attendance data. Methods of collecting data were obtained by direct visits, interviews, and literature review. The analysis method is obtained by comparing the old system with the new one using the system development life cycle. The prototype method used in this research is the rapid prototyping approach. The RFID prototype for the attendance system uses student cards as a tool for attendance. So that the card becomes more useful and multi-functional. The purpose of this research is to help GT Vocational School in making a better automatic attendance system so that the system can make it easier for staff and teachers to manage attendance. The attendance system uses student cards as a tool for attendance, can make students more independent in the attendance process, and teachers just confirm on the website, and they don”t need to bring attendance papers anymore. With the automatic attendance system, all data is integrated into the website, the administrative section no longer prepares attendance papers for each teaching and learning activity
Perbandingan Perbedaan Postur Tubuh Penari pada Pengenalan Gerakan Tari Sigeh Penguten Menggunkan Hidden Markov Model
Get PDFThe Sigeh Penguten dance is a dance originating from Lampung where the Sigeh Penguten dance is often called the worship dance. Traditional dance is one of the heritages of Indonesia culture. This Sigeh Penguten Dance research aims to get comparison results from the data training that has been carried out and to get the desired results in accordance with the data testing that has been carried out. With the advancement of technology, a system is needed to determine the comparison results of training data and a learning system is needed to conduct test data. Where MongoDB is used as a Database to store large files with a better level of security. The training data will be automatically saved to mongoDB in the form of a CSV file. Researchers used 3 phrases, namely Ngerujung, Cockfighting, and Rejecting Cliffs. The system will implement by using a Kinect sensor to detect motion in dance. To get the results, the dancer will stand in front of the Kinet sensor
Pengukuran User Experience Terhadap Penggunaan Aplikasi SIMVONI dengan Pendekatan Metode HEART
Get PDFSIMVONI is an acronym for the Virtual Indonesia Museum Application, which is a museum digitization service in the form of a virtual tour 3600. Every digital service requires feedback from users or visitors to achieve the basic goals of developing the service, not preparation for SIMVONI's efforts to become a digital e-museum in Indonesia. The purpose of this study is to analyze the impact of user experience on using SIMVONI through the website. This study uses a quantitative approach with the HEART method which is analyzed using Importance Performance Analysis (IPA). The number of respondents used for the sampling test is 257 provided that they have visited the SIMVONI page at least once. The results showed that there were 10 of 34 HEART items recommended for improvement (action) on SIMVONI, while the most important factors to get attention for improvement in a quick time were Retention and Engagement
Sentimen Analisis Twitter Ibu Kota Negara Nusantara Menggunakan Long Short-Term Memory dan Lexicon Based
Get PDFIn the 2020 APJII Survey, Indonesians who use Twitter for social media are 10% of the entirety of social media users in Indonesia (APJII 2020), the issue that is being discussed a lot both on social media and offline discussions, is the National Capital City (IKN) of the Archipelago, which is the new capital city of the Republic of Indonesia. The relocation of the capital city raises pros and cons. With these pros and cons, an analysis of public sentiment regarding the IKN issue becomes a necessity. In this research, the model that will be used to analyze sentiment analysis uses the Long Short Term Memory (LSTM) algorithm and lexicon based on two scenarios, which is the scenario that uses 100 data of tweets and 5112 data of tweets. The results for the 100 tweets dataset scenario obtained 64% accuracy, 40% precision, 64% recall, and 79% F1-Score. Meanwhile, the results for the 5112 tweets data scenario obtained 79% accuracy, 82% precision, 79% recall, 79% F1-Score. The sentiment results obtained from the 5112 tweets data are 44.8% positive sentiment, 36.2% negative sentiment and 19.0% neutral sentiment. Based on this research, the number of datasets will affect the performance of deep learning models built using lexicon based and LSTM algorithms
Analisis User Behaviour Penerapan LMS Moodle Mobile dengan Metode TAM pada UMSIDA
Get PDFThe Muhammadiyah University of Sidoarjo is one of the universities that implement an e-learning learning model using an LMS called Moodle UMSIDA. However, the adoption of the application is not free from such shortcomings as failing when trying to log in and others. This problem causes students to prefer to use other e-learning alternatives and makes the Moodle UMSIDA application less attractive. The purpose of this study is to analyze the factors that influence the acceptance of the Moodle UMSIDA application. Based on previous studies, it is evident that the Technology Acceptance Model (TAM) is a suitable measuring tool for conducting this research. In this study, the TAM model was adopted and modified based on the model developed by Said A Salloum. There are 385 response data from students obtained through online questionnaires and offline interviews, then analyzed using SEM-PLS. Based on the results obtained in this study, the variables of accessibility, computer self-efficacy, perceived enjoyment, user behavior, and perceived ease of use were significant to the acceptance of the Moodle UMSIDA application. The results of the research are considered for the application manager in carrying out development