Yaya Heryadi

Binus University | binus · Doctor of Computer Science Program

The Neural Networks (NN) model which is incorporated in the control system design has been studied, and the results show better performance than the mathematical model approach. However, some studies consider that only offline NN model learning and does not use the online NN model learning directly on the control system. As a result, the controller...

The aim of this chapter is to describe and analyze the application of machine learning for anomaly detection. The study regarding the anomaly detection is a very important thing. The various phenomena often occur related to the anomaly study, such as the occurrence of an extreme climate change, the intrusion detection for the network security, the...

Measuring the distance between vehicles is essential for autonomous vehicle operation to avoid collisions. This paper discusses the use of a single camera as a sensor to measure the distance from vehicles in fronts such as cars and motorbikes. The image of the vehicle in front that was captured by the camera is then carried out by feature extractio...

Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Netwo...

IoT with E-learning is intended to support data collection from devices and share to other devices in use for effective E-learning applications from Smart Campus. This study aims to conduct studies related to online learning models by utilizing Internet of Everything (IoE) technology to support Revolution 4.0. This study aims to support the latest...

Many studies have been conducted in the field of face aging, from approaches that use pure image-processing algorithms, to those that use generative adversarial networks. In this study, we review a classic approach that uses a generative adversarial network. The structure, formulation, learning algorithm, challenges, advantages, and disadvantages o...

The tourism industry has become a potential sector to leverage economic growth. Many attractions are detected on several platforms. Machine learning and data mining are some potential technologies to improve the service of tourism by providing recommendations for a specific attraction for tourists according to their location and profile. This resea...

The aim of this study is to select the best features of EEG signal, by in-vestigating the AdaBoost feature importance score measure as a means to find a ranking of important features which can improve the classifier performance for recognizing the imagined speech of 8 Indonesian words, i.e., makan (eat), minum (drink), lapar (hun-gry), haus (thirst...

The issue on the effect of violent video game to aggressive behavior has gained wide interest from various communities. This paper presents some results of predicting quantitative measure of aggressive behavior from variables that measure violent video game playing. Experiment results showed that Decision Tree Regression (DTR) and Adaptive Boosting...

Despite having many advances in video game control such as voice or gesture control, most video game console manufacturers still use a joystick as the main control for their console. Currently, the problem with video game manufacturers is that instead of using the joystick as the point of user interface design, they instead used a design from anoth...

Computer games have emerged in the past decade as potential media beyond entertainment. Despite its popularity, game accessibility remains a major concern of various researchers. Children population with motor disabilities is a potential target for developing entertainment or therapeutic support games due to their interest to play. This paper prese...

This paper presents a gamification framework for higher education, especially for programming language courses to increase user motivation, pleasure and satisfaction so that learning objectives can be achieved. Although student and lecturer motivation, pleasure, and satisfaction tend to increase compared to conventional techniques, gamification is...

Cross aging face recognition ability will decrease to recognize someone's face after a certain time. Adding synthetics face images at a certain age generated from face aging architecture is one way to increase the performance of cross aging face recognition. A synthetics face image can create use the Generative Adversarial Network-based architectur...

This paper presents summary of a paper review on EEG signals focusing on signal acquisition design. The discussion is devoted to some prominent research on imagined speech recognition, which is divided into vowel recognition, syllable recognition and word recognition. This explanation provides an overview state of the art from ac- quisition design...

The usual problem in the learning process is the loss of learning motivation, which may be caused by the learning media and less-personalized learning materials. It leads to the need for adaptive gamification. This paper presents a novel adaptive gamification framework for the education support system. By using the developed framework from this stu...

Automated question generation is a task to generate questions from structured or unstructured data. The increasing popularity of online learning in recent years has given momentum to automated question generation in education field for facilitating learning process, learning material retrieval, and computer-based testing. This paper report on the d...

Extended urbanization phenomenon in smaller-sized cities in Java should be considered by the government. However, the local governments can only use the plans from the central government. The negative effects of this, among others, are improper land use allocation, lack of facilities, and crimes that are difficult to handle. This study proposes a g...

The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are re...

This paper proposes the implementation of Bidirectional Long Short-Term Memory (LSTM) model for forecasting crop pest attack based on multivariate inputs of weather data. To enhance the model performance, the efforts implemented include optimizing the training process by applying sliding-windows methods and setting appropriate parameters. After obta...

Climate anomalies are considered as an important factor closely related to many disasters causing many human losses, such as airline crash, wildfires, drought and flooding in many areas. Many researchers have projected that the rising global temperature will increase the draught, especially in the mid-latitude areas. Taking those problems into acco...

Machine learning merupakan salah satu cabang ilmu Kecerdasan Buatan (Artificial Intelligence) yang berkembang sangat cepat dan telah menyebabkan masalah klasifikasi, regresi, klastering, dan anomaly detection pada berbagai bidang dapat diatasi lebih efisien. Misalnya, pengenalan sel yang bersifat abnormal berdasarkan citra CT Scan membantu dokter m...

Advances in technology have increased the use and complexity of software. The complexity of the software can increase the possibility of defects. Defective software can cause high losses. Fixing defective software requires a high cost because it can spend up 50% of the project schedule. Most software developers don't document their work properly so...

Indonesia, Country with many islands have at least four geostationary satellites for telecommunication services to connect all-region with high-speed internet, telephony backbone and other private data such as banking and government application. Using VSAT (very small aperture terminal) as an earth station is fast to deploy with minimum infrastruct...

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...

Previous studies showed evidences that gamification can improve learners’ motivation and enjoyment. Improvement of motivation and enjoyment could be influenced by player personality. As there is a variety of personalities, gamification application developers should consider including various gameplay to adapt with each personality type. There is a...

The development of malware that continues to increase is one of the severe challenges experienced by various sectors, especially in the education sector. Educational institutions that provide open networks and connected to many devices simultaneously become an exciting testing ground for cybercriminals. Anti-virus is often used as prevention by app...

In many aging countries, where the population distribution has shifted to old ages, the need for automatic monitoring devices to help an elderly person when they fall is very crucial. Smartphone is one of the best candidate devices for detecting fall because accelerometer and gyroscope sensors embedded in it respond based on human movements. People...

There has been much research which proposed for cross-project software defect prediction models but no models that perform very well with various datasets in general. Software defect dataset usually imbalanced because it contains far more the not defected modules than the defected modules. Class imbalances in the dataset can reduce the performance...

The dataset with imbalanced class can reduce the performance of the classifiers. In this study proposed a cross-project software defect prediction model that applies the SMOTE (Synthetic Minority Oversampling Technique) to balance classes in datasets and ensembles technique to reduce misclassification. The ensemble technique using AdaBoost and Bagg...

Health is an essential thing in human life, but Indonesian people are still far from the word healthy lifestyle. One disease that can be caused by an unhealthy lifestyle is diabetes mellitus that can cause many deaths. So far, there are many data in the hospital, but the data can not be maximized well even if it can be used to predict diabetes. The...

Satellite imageries have been widely used to analyze a region by planners. Data from the satellite usually have lower accuracy than other expensive methods e.g. drone, aerial view, etc. However, the data from satellite have wide range area and sufficient enough for modeling a land use. The accuracy assessment, therefore, becomes a vital task to ens...

Logo is an important asset as it is designed to express identity or character of the company or organization that owns the logo. The advent of deep learning methods and proliferated of logo images sample dataset in the past decade has made automated logo detection from digital images or video an interesting computer vision problem with wide potenti...

This study explores an ensemble technique for building a composite of pre-trained VGG16, VGG19, and Resnet56 classifiers using probability voting-based technique. The resulted composite classifiers were tested to solve image classification problems using a subset of Cifar10 dataset. The classifier performance was measured using accuracy metric. Som...

Enterprise Architecture (EA) is often used by organizations as a tool to support for achieving organizational goals. The EA supports achieving organizational goals because of its functions. This paper discusses the results of literature review for the EA function. There are at least three reasons for using EA in organizations: its complexity, exter...

This study explored several methods for detecting body falls based on the data captured by the sensors (accelerometer and gyroscope) built in a smartphone carried by a person. The data for this study were collected by recording many sample units from each of the following human activity categories: stand-fall, walk-fall, stand-jump, stand-sit, stan...

Ovarium cancer is a kind of cancer disease which often attacks a woman. Ovarium cancer consists of benign and malignant type. Based on the data set obtained, this research try to classify the data set with support vector machine algorithm. The principle of SVM is how to identify a hyperplanes with maximal margin. Hyperplanes is a border line betwee...

Social media is one of the communication media favored by people in the world, especially in Indonesia. This is evidenced by the results of the APJII survey which shows that the majority of Indonesians use social media in their daily activities. One of the advantages of social media is the dissemination of information faster than conventional media...

The aim of this chapter is to describe and analyze the application of machine learning for anomaly detection. The study regarding the anomaly detection is a very important thing. The various phenomena often occur related to the anomaly study, such as the occurrence of an extreme climate change, the intrusion detection for the network security, the...

Over decades, weather forecasting has attracted researchers from worldwide communities due to itssignificant effect to global human life ranging from agriculture, air trafic control to public security. Although formal study on weather forecasting has been started since 19th century, research attention to weather forecasting tasks increased signific...

The Ministry of Marine Affairs and Fisheries (MMAF) carry out the responsibilities and features associated with the policy of marine and fisheries. MMAF carry out the responsibilities and features associated with marine and fisheries policy. One of their duties and functions are organized marine and fishery statistics, in accordance to Law of The R...