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The migration of data between NoSQL databases faces challenges due to the heterogeneity of the data schema and storage paradigm between the data-bases. In addition, the flexibility of storage paradigm allows non-standardized schema between records in NoSQL database. For example, in MongoDB, documents within the same collection could have different schema. However, this flexi-schema may cause difficulties in data migration as there is without any standard data schema to follow by for the target data-base during data migration. This paper proposed a migration method ap-plied to suit the different data model or schema for different NoSQL databases. The paper focus on the migration between document-based database and column-based database. The paper also discusses on the database schema of the target database that need to store and support the data that is with different schema. [ABSTRACT FROM AUTHOR]

Many deep learning (DL) models have been proposed to predict future traffic conditions based on historical data, with their respective achievements, strength, and weakness. However, they only rely on traffic state and ignoring other influencing states and only learn recent traffic pattern. To improve accuracy of prediction, some improvements are proposed. One of them is utilization of external factors, because the traffic flow is not only influenced by traffic flow data only but also by various external factors. This article dis-cusses involvement of external factors in improving accuracy of traffic fore-casting. Three DL models are compared to evaluate the achievements in four different datasets. In general, the result is that involvement of external factor could improve traffic forecasting accuracy. In addition, not only the methods that take role in making accuracy, but also characteristic of the data has significance in the accuracy. [ABSTRACT FROM AUTHOR]

Customer profiling is one of the important aspects for retailers or service providers used in analyzing consumer characteristics and needs. To build a customer profile, various customer information can be used ranged from demographic information (such as age, gender, salary, address) to customer behavior (such as the frequency to visit shop and money spent). Due to the enormous amount of information available, it becomes inefficient to analyze it through descriptive analysis. Instead, data mining can be used to cluster and summarize the huge amount of information without much information loss. This paper discuss method of utilizing LRFMP (Length Recency Frequency Monetary Periodicity) model and K-means clustering in data mining techniques to perform customer profiling. Furthermore, this paper will describe the evaluation of this work which is based on Elbow method, Silhouette Index, Davies-Bouldin Index, and Calinski Harabasz test. The result suggested LRFMP model is a viable model in customer profiling when use together with K-means clustering technique despite some variable may had contributed less than another. [ABSTRACT FROM AUTHOR]

The Extract, Transform and Load (ETL) system is a standard approach of managing and sustaining movement and transaction of data assets. The exponential growth of data necessitates the development of better approaches and ways of surpassing the traditional ETL limits and effectively manage these big data in near real-time, in terms of availability, speed of delivery or latency and scalability in processing, thus enhance the functionality and increase data value. The purpose of this research is to identify approaches and series of combination of implementing ETL for streaming and near real-time data with special focus on data latency. It is important to note that while the approaches might improve latency, it is also possible that other aspects such as availability and scalability could be compromised, as well as other limitations. The research then presents an experimental setup to simulate a near real-time scenario for landslide mapping using Lidar data, introduces 3 sets of algorithms combo: (1) data model transformation, (2) alert threshold (3) query filter techniques in stream processing with the aim of achieving low latency. Furthermore, the research expects to contribute some modified filtering techniques for accelerating queries for prioritized datasets and reduce overall data filtering time. The experiment will be performed on a Hadoop platform. [ABSTRACT FROM AUTHOR]

The 21st-century skills, especially in the educational field, require greater mastery of technology. Education with a STEM approach is a learning process that integrates Science, Technology, Engineering, and Mathematics. The purpose of this research was to determine the level of feasibility of the STEM-based E-Module developed with the PBL learning model to improve students' creative thinking skills and learning motivation. The method used in this research was Research and Development with a 4D model which was limited to the development stage in the assessment step. The research data was used to determine whether the e-module can be continued to the implementing stage based on the assessment of educational experts and practitioners. The results of the analysis show that this e-module is feasible and can be tested on students. [ABSTRACT FROM AUTHOR]

STEM is a form of educational development that modifies learning to integrate science, technology, engineering, and mathematics lessons to prepare students in a highly competitive 21st-century with new mindsets and skills. Creative thinking is an essential skill for students to think purposefully, investigate alternative strategies and respond to 21st-century challenges. The low motivation to learn and students' creative thinking skills are why this research is carried out. This study aims to produce a STEM-based particle dynamics e-module for guided discovery learning that is feasible to improve senior high school students' creative thinking skills and learning motivation. The research was conducted using the 4D Model Research and Development (R&D) method. However, this study is only limited to the development stage, which is to assess the feasibility of the e-module through a questionnaire filled out by educational experts and practitioners. The desired improvement can be measured by validating the current validation result's revision. The analysis results that have been carried out show very high criteria for all aspects of the assessment. This indicates that this module is suitable for improving the creative thinking skills and learning motivation of high school students. [ABSTRACT FROM AUTHOR]

In Malaysia, there are at least l0,000 government schools that are operating five days a week, for ten months every year. All these schools' energy usage and bills are under the responsibility of the Ministry of Education Malaysian Government. The majority of the schools were traditionally designed and are still being used even though the age of the buildings is more than 30 years. In essence, not much energy efficiency design and management were incorporated into the initial designed. The demand for energy use is expected to rise dramatically in the coming years due to many factors such as the increasing number of students' enrolment and the demand for comfortable indoor environment in response to global climate effects. Therefore, there are many ideas, concepts and technologies that have been introduced towards energy conservation in buildings. The Malaysia Energy Commission introduced Energy Efficiency (EE) Challenge for schools to participate and win prizes offered by the agency. It is one of the government's initiatives to reduce energy consumption in schools and mark a starting point for schools in Malaysia moving forward to becoming energy efficient school building. The design element with lean energy management is the sole focused on passive retrofit strategy. This paper highlights the data of five schools that have consistently joined the EE Challenge from 20l6 to 20l9. The method of data secured is from the submitted report of EE Challenge to Malaysia Energy Commissions. Most of the schools managed to reduce their energy usage after participating in the challenge. Remarkably, the passive design technique implemented can effectively reduce electricity bills in schools. This study contributes to the buildings stakeholder, building industry professionals and national or international organizations who preferred sustainable building practices. On top of that, the government will benefit in terms of reducing the cumulative amount of electric bills that need to be spent annually. [ABSTRACT FROM AUTHOR]