Eka Miranda

• Faculty Member at Binus University

The Covid-19 pandemic had an immediate impact on higher education. Although online technology has made contributions to higher education, its adoption has had a significant impact on learning activities during the Covid-19 pandemic. This paper proposed a predictive model for predicting students’ academic performance in video-conference-assisted onl...

According to WHO, cardiovascular illnesses are the main cause of death globally, killing 17.9 million people every year. Machine learning analysis of patients' Electronic Medical Records (EMR) data was helpful for disease risk prediction. Goal of our research was for constructing machine learning-based prediction model for atherosclerotic heart dis...

Objectives: The number of deaths from cardiovascular disease is projected to reach 23.3 million by 2030. As a contribution to preventing this phenomenon, this paper proposed a machine learning (ML) model to predict patients with arteriosclerotic heart disease (AHD). We also interpreted the prediction model results based on the ML approach and depl...

Early detection has already reduced pregnancy risk, complications, emergency situations, and also maternal mortality cases. Our study’s goal was to build on the intelligent application for early risk pregnancy prediction based on machine learning. We examined 997 patient data and 114 attributes from the electronic medical records on primary health...

The Indonesian government continues to deal with nutritional issues on Indonesian children, such as stunting and wasting. Stunting is a common symptom of children at risk of wasting, and they are more likely to develop long-term developmental issues. Malnutrition in children must be identified as soon as possible in order to prevent many instances...

Digital public diplomacy has become a new method implied by the state to interact with foreign publics in the Internet era, particularly by utilizing social media. One of the most used social media by the state to carry out the interaction is Twitter. This phenomenon has also made communist states like China utilize Twitter in interacting with fore...

Coronary heart disease (CHD), alternatively known as cardiovascular disease (CVD) is the number one cause of death in the world. Each person may develop different symptoms or no symptoms of CHD, which means that they do not know they have CHD until they experience a chest pain, a heart attack or cardiac arrest. These situations may be avoided if we...

Organizational management, as well as hospital management, could not work precisely without defining the performance indicators to control all business process. This situation encourages the need for information and data analysis availability. BI includes applications, infrastructure, tools and practices that enable organizations to access and anal...

Abstrak Perencanaan dan pemantauan penggunaan lahan masih menjadi masalah di banyak negara berkembang seperti Indonesia. Teknologi konvensional dan observasi lapangan yang digunakan saat ini memiliki kendala terkait dengan wilayah Indonesia yang luas. Deep learning dan citra satelit dapat digunakan untuk mendukung otomatisasi pemantauan dan klasif...

This study proposed a land cover classification through an ontology approach from Sentinel-2 satellite imagery. Five steps were conducted as the research workflow, those were (1) Determine reference data and land cover classes; (2) Determine visual image interpretation features; (3) Feature extraction; (4) Ontology rules design; and (5) Land cover...

Regional land use planning and monitoring remain an issue in many developing countries. Efficient solution for both tasks depended on remote sensing technology to capture and analyze remotely sensed data of the region of interest. Although a plethora of methods for land cover classification have been reported, the problem remained a challenging tas...

The objective of this study is to develop a classification method based on convolutional neural network (CNN) and Sentinel-2 satellite imagery including the spectral feature, spectral index and spatial feature together as an input to answer forest monitoring problem. This research also used contextual information on Indonesia National Standard Agen...

Tujaun penelitian ini adalah mengklasifikasikan pelanggan berdasarkan tabel transaksi dengan pendekatan knowledge discovery from data (KDD) dan metode data mining naïve bayes classifier dengan manfaat menghasilkan pengetahuan yang berguna untuk mengambil keputusan yang terkait dengan mengelola pelanggan.Untuk menggali pengetahuan dari data yang ber...

this paper aimed to present a formal representation design or classification concept to design relationships among real-world description into image description on a land cover domain using ontology approach. This paper focused on airport domain in Indonesia since detection of airport imagery features was an open challenge due to various features w...

Medical informatics is the field that combines two medical data sources: biomedical record and imaging data. Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities. Exploration of medical image data methods is a challenge in the sense of getting their insight value, analyzing and dia...

Objectives: The number of deaths caused by cardiovascular disease and stroke is predicted to reach 23.3 million in 2030. As a contribution to support prevention of this phenomenon, this paper proposes a mining model using a naïve Bayes classifier that could detect cardiovascular disease and identify its risk level for adults. Methods: The proces...

Elements of globalization in the world of education has expanded and developed, and made an Higher Education institutions market has been developed as a global phenomenon, so that Higher Education institutions aware to show their existence in global and high competition. The objective of this study was to apply data warehouse and data mining techni...

Today, most of the higher education institutions have been supported by integrated information systems for all activities, such as lecturer recruitment, marketing, student admission, student registration, academic operations, and alumni system. Higher education information system generates many transactional data; and the amount of those data is in...

Competitive environment among investment firms encourage them to be able to conduct analysis related to investments activities with the potential failure of transfers’ funds. The purpose of this writing is to analyze the needs of the information required in the process of analysis the potential failure of funds transferring in a process of buying a...

One key to the success of Small and Medium Enterprises (SMEs) is the availability of a clear market for the products. Meanwhile, the fundamental weaknesses faced by SMEs in marketing are low market orientation, weakness in a complex and sharp competition and inadequate marketing infrastructure. Faced with an increasingly open market mechanisms and...

The increasing competition in hotel business forces every hotel to be equiped with analysis tools that can maximize its marketing performance. This paper discusses the development of a data warehouse model and analytic tools to enhance the company's competitive advantage through the utilization of a variety of data, information and knowledge held b...

Management of employees as a resource is essential to enhance the effectiveness of employee’s performance, and the process efficiency of for organizations or companies. Possible problems related to the management of human resources need to be diagnosed which one to be solved as a priority. The problem is how to design the decision making model to h...

Employees as a resource management are essential to improve the effectiveness of company’s performance and process efficiency. This paper discusses the implementation of data warehouse and its role in assisting the decision making related to recruitment activities undertaken by Human Resources Department. In this research built a data warehouse des...

Transactional data are widely owned by higher education institutes, but the utilization of the data to support decision making has not functioned maximally. Therefore, higher education institutes need analysis tools to maximize decision making processes. Based on the issue, then data warehouse design was created to: (1) store large-amount data; (2)...

Abstract Higher education is becoming a big business, with huge investments in IT technology supporting Learning Management System (LMS). LMS is a software application which is used by student in learning process. The purpose of this paper is to analyze the use of LMS based on activities and results of student learning and seeks to address the int...

This paper discusses the implementation of data mining and their role in helping decision-making related to students’ specialization program selection. Currently, the university uses a database to store records of transactions which can not directly be used to assist analysis and decision making. Based on these issues then made the data warehouse d...

Higher education is becoming a big business, with huge investments in IT technology supporting Learning Management System (LMS). LMS is a software application which is used by student in learning process. The purpose of this paper is to analyze the use of LMS based on activities and results of student learning and seeks to address the interface bet...

This paper is about designing and implementing data warehousing and data mining, along with their roles in supporting decision-making related to sales product analysis in cross-selling concept of PT XYZ. The database the company used is not supporting data analysis and decision-making. Therefore, it made a data warehousing design that could be used...

ABSTRAK Traditional library catalogs have become inefficient and inconvenient in assisting library users. Readers may spend a lot of time searching library materials via printed catalogs. Readers need an intelligent and innovative solution to overcome this problem. The paper seeks to examine data mining technology, which is a good approach to fulfi...

This article discusses the Business Intelligence and its role to improve the company’s competitive advantage through the utilization of various data, information and knowledge held by the company as a raw material in the decision making process. This article also explains the elements of Business Intelligence applications, Business Intelligence Env...

ABSTRAKS E-Procurement adalah proses pengadaan barang/jasa pemerintah yang pelaksanaannya dilakukan secara elektronik dan berbasis web/internet dengan memanfaatkan fasilitas teknologi komunikasi dan informasi yang meliputi pelelangan umum secara elektronik. Tulisan ini bertujuan mengarahkan hubungan antara sistem 'online auction' yang akan beropera...