Jurnal Teknik Informatika dan Sistem Informasi
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Aplikasi Mobile untuk Sistem Antrian Praktek Dokter Dilengkapi dengan Analisis Perhitungan Estimasi Waktu Menggunakan Markov Chain dan Algoritma PageRank: Analisis Perhitungan Estimasi Waktu Menggunakan Markov Chain dan Algoritma PageRank
No full textAlong with the increasingly rapid development of technology, especially in the field of computers, ways to overcome the problem of patient queues have been developed. One of them is the use of a mobile application to get a time estimate until a patient gets a turn to consult with a doctor. Many industries still use manual methods to overcome this queue problem. Based on this fact, this final project with title "Mobile Applications for Doctor Examination Queue System Equipped with Analysis of Time Estimation Calculation Using the Markov Chain and PageRank Algorithm" has aims to get time estimates for the patients so that time can be more efficient
Integrasi Micro-Apps Individual menjadi One-Stop Services Maranatha Application Suite
No full textUse of information systems at the university, which is the standard management of the university, is required to support all the activities of the academic community. Aside of determining the smooth operations, information technology also maintain the competitiveness of the competitors by constantly updating the information technology so as not to miss. Trends in the development of technology will make a strong connectivity between universities and stakeholders, governments, and partners. Some of the problems that occur when information systems are not yet fully integrated system, separate user management, application is implemented on different platforms and dashboards for management, not integrated. It is important for the university to provide Single and Integrated Application applications that are integrated into each of their services. Single and Integrated Applications are available at the web application / desktop / mobile multi-platform, for which data are available in real time, and there is no duplication of data occurs
Penerapan Kansei Engineering dalam Perbandingan Desain Aplikasi Mobile Marketplace di Indonesia
Get PDFThe company's application design is very important because it displays the company's image and to attract more users to purchase/utilize the application. This research applies Kansei Engineering Method to analyze the emotion or feelings of the user towards the design of a mobile application interface. Six Kansei Words and three specimens are utilised in this research, where Kansei words are selected from words related to user experience. The participants of this research consist of 54 students from Maranatha Christian University. Participants’ responses are studied using multivariate statistical analysis (e.g., Coefficient Correlation Analysis, Principal Component Analysis, and Factor Analysis). This study explores the emotional factors that occur in designing an application. This analysis shows that there are some major factors that greatly influence the design of a mobile application interface
Analisis Pengaruh Teks Preprocessing Terhadap Deteksi Plagiarisme Pada Dokumen Tugas Akhir
Get PDFFinal Project Report at a university has the potential for plagiarism. To detect possible plagiarism, String Similarity can be used. Text preprocessing is needed to process words which can make String Similarity results inaccurate. The value of the distribution of the results of the similarity that is getting higher shows the level of accuracy is also getting higher. Reports that contain many words can make it difficult to find plagiarism recommendations. In this study, we try to divide the report into each chapter to provide more detailed recommendation material. By using text preprocessing and comparison methods in the same chapter, can determine the characteristics of each chapter. The discovery of the characteristics of each chapter can be used as plagiarism recommendation material in more detail than a full text report. The experiment was a comparison of the results of cosine similarity between the same chapters and full text, then combined with preprocessing stopword removal and stemming. The experimental results show that the use of preprocessing stopword removal and stemming can produce the highest distribution value and the similarity ratio in each chapter can show its characteristics. Words that represent the characteristics of a chapter can potentially become a stopword
Sistem Perbaikan Kata Tidak Baku Bahasa Indonesia Menggunakan Metode Crowdsourcing
Get PDFMost languages have two form of words: standard and not-standard. Standard words usually used in formal conversation, while not-standard words used in informal conversation. The massive use of non-standard words in the text-based communication through social media application causing a new problem for its text-processing features such as language translator or artificial intelligence (AI) conversation program (chatbots). Our research purpose is to create a system that can convert any non-standard Indonesian word into standard Indonesian word using crowdsourcing method, a community-based method to create database that contain non-standard Indonesian words and its associated standard words. We hope this system can help people who working on text-mining based application, especially in Indonesian words, to improve their performance in text-processing
Prediksi Kelalaian Pinjaman Bank Menggunakan Random Forest dan Adaptive Boosting
Get PDFAbstract — A loan is one of the most important products on the bank, which used for main revenue. All bank tries to find the most effective business strategy to persuade a customer to use the loan, but loan default has a negative effect after the application is approved. Loan default causes loss on the bank, therefore it is mandatory to calculate in order to decrease the risk of the loan default. This study uses random forest and adaptive boosting machine learning methods to get the prediction and decision. The random forest uses a voting method from many decision trees and adaptive boosting can support to increase accuracy, stability and handle an underfit or overfit problem. The experimental results show that Adaptive Boosted Random Forest outperformed normal random forest and Deep learning Neural Network (DNN) in recall rate evaluation metrics with small trade-offs in the accuracy.
Keywords— Adaptive Boosting; Bank; Loan Default; Machine learning; Random Forest
Rancang Bangun Sistem Identifikasi Arus Lalu Lintas pada Simpang Tiga Menggunakan Database NoSQL
Get PDFT-junction is one of the types of intersections that often results in congestion, and long queues. Therefore, it is necessary to identify the traffic flow to determine vehicles per hour, Passenger Car Unit (PCU) per hour, traffic fluctuations, vehicle composition, trip composition and traffic flow at peak hours at T-junction. The process of identifying traffic flow is complex and involves many variables. The process is currently still using Microsoft Excel which requires a lot of time and energy and allows for human error. Therefore, the purpose of this research is to design and build a traffic flow identification system at T-junction using NoSQL database. NoSQL is useful for complex data because NoSQL eliminates repetitive data. The results of this research are the traffic flow identification system at T-junction using NoSQL database which consists of vehicles per hour, PCU per hour, traffic fluctuations, vehicle composition, trip composition, and traffic flow during peak hours
Rancang Bangun Sistem Informasi Geografis Rekomendasi Cagar Budaya Menggunakan Metode Analytic Hierarchy Process
Get PDFSalatiga City is a town located in the province of Central Java. In this town, there can be found many cultural heritage buildings that were built in the mid-18th century to 1940. Potential visitors would increase easier if a geographic information system is built. Tourists who visit can access the website to select or search for cultural heritage that they want to visit, therefore the availability of a geographic information system that provides information and data on the location of cultural heritage in digital maps is needed. The system must also consider aspects of the cultural heritage rating, the price of admission, and the condition of the cultural heritage to provide recommendations on which cultural heritage to be visited. Therefore the geographic information system of cultural heritage recommendations uses the analytical hierarchy process (AHP) method which can calculate multi- criteria, multi alternatives, and provides cultural heritage recommendations. This system combines geographic information system as a provider of cultural heritage information and AHP decision support system to assist tourists in choosing cultural heritage
Rancang Bangun Media Pembelajaran Augmented Reality Mengenal Alat Musik Degung
Get PDFAugmented Reality is one of information technology that still exists and being developed till now. This technology can show up a not real object in the real background. As we know, we can use technology to help our work and help us to make everything simple and easier. Nowadays, everything got easier and easier to do because of technology, it’s because a lot of people try to make something useful to help them with their work. Therefore, this study uses one of the technologies, augmented reality, to introduce traditional musical instruments named Degung to all people who want to know about this instrument. They who want to show Degung to other but do not know an easy way, can use the result of this study using MDLC (multimedia development life cyle) method.
 
Aplikasi Penjualan Tiket Kelas Pelatihan Berbasis Mobile menggunakan Flutter
Get PDFAbstract — Pincher is an online platform that is useful for assisting in finding and registering for training classes aimed at facilitating users who want to find their identity and channel their talents and inspirations creatively. This pincher application provides information and distributes training classes by selling class tickets. In its development as an online platform, Pincher still uses the website as a means of distributing training classes owned by Pincher, so this tool is less effective and efficient for users because the Pincher website is too complicated to access using a mobile phone or smartphone. Therefore, to help users access the Pincher application using their mobile phones, Pincher applications are made in a simple form that is applied to mobile applications. In addition, Pincher also does not have a feature that can make it easier for customers to determine the class to be chosen. Therefore this mobile application will be equipped with a system that can make it easier for users to choose attractive classes for customers, namely with a recommendation system.
Keywords— Ticket Selling Application, Flutter, Mobile Application, Recommendation System