hidayah rahmalan - Academia.edu (original) (raw)

Papers by hidayah rahmalan

International journal of innovative technology and exploring engineering, Dec 30, 2019

Canny Edge Detection Algorithm was very popular on the computer vision area which used to preserv... more Canny Edge Detection Algorithm was very popular on the computer vision area which used to preserve the edges of the image. Due to the defect of the Canny Edge Detection Algorithm like no efficiency on noise removal, some improvement on the Canny Edge Detection Algorithm was done by the researchers. On this paper, a new enhanced Canny Edge Detection Algorithm will be propose which replaces the Gaussian Filter with combination of Arithmetic Mean Filter, Harmonic Mean Filter and Geometric Mean Filter. The replace of Gaussian Filter with combination of Arithmetic Mean Filter, Harmonic Mean Filter and Geometric Mean Filter is to improve the performance of Canny Edge Detection Algorithm on noise removal. A comparison between Canny Edge Detection Algorithm proposed by this paper, Canny Edge Detection Algorithm proposed by (Ilkin, Tafralı, &Sahin, 2017) and traditional Canny Edge Detection Algorithm will be done. The comparison will done by using eight images with different type and size which corrupted by noise. The performance of three algorithms will be determined by using the Peak Signal to Noise Ratio (henceforth, PSNR) value which uses as a quantitative measure. From the result, the Canny Edge Detection proposed by this paper will provide a better performance on noise removal and which will give a better impact on preserve the edges of the images corrupted by noise.

TELKOMNIKA (Telecommunication Computing Electronics and Control)

Here, a brain tumor classification method using the support vector machine (SVM) algorithm by uti... more Here, a brain tumor classification method using the support vector machine (SVM) algorithm by utilizing discrete wavelet transform (DWT) transformation and feature extraction of gray-level co-occurrence matrix (GLCM) and local binary pattern (LBP) has been implemented using the magnetic resonance imaging (MRI) image belong to the low-grade glioma (LGG) or high-grade glioma (HGG) group. SVM algorithm used as a classification method has been widely used in research that raises the topic of classification. Through the formation of a hyperplane between 2 data classes, the SVM algorithm can be said to be a reliable method but does not require complicated computations. The DWT transformation is intended to provide clearer feature details from the MRI image, so that when the feature extraction algorithm is applied, it is expected that the extracted features will differ between benign tumor MRI images and malignant tumor MRI images. In 1 level DWT using high-low (HL) sub-band yield the highest specificity, sensitivity, and accuracy than using 3 levels using HL or low-high (LH) sub-band in LGG MRI image. Compared with another research, our proposed method is slightly better in terms of accuracy to classify the brain tumor image with achieved the accuracy of 98.6486%.

International journal of engineering trends and technology, Aug 31, 2022

International Journal of Advanced Trends in Computer Science and Engineering, 2020

Recent technology of education has been using software, hardware, and educational theoretic to fa... more Recent technology of education has been using software, hardware, and educational theoretic to facilitate the learning process and improving student's performance. For example, Virtual Reality (VR) is one technology that helps the user to be focused on the learning content that they see. In getting people's attention to be alert and aware of the need and how to use a fire extinguisher, an application using VR technology has been developed. This application has given a basic exposure to fire safety and fire drill to the users. Through the usability testing investigation, the results on using VR fire extinguisher received more than 80%, indicating that the application manages to give awareness to users on the needs and steps to use a fire extinguisher to extinguish the fire. Comments and recommendations from experts have been given more ideas in order to improve the application as well as upgrade its' quality in the future.

2022 Applied Informatics International Conference (AiIC)

Mathematics

Physical interaction in peer learning has been proven to improve students’ learning processes, wh... more Physical interaction in peer learning has been proven to improve students’ learning processes, which is pertinent in facilitating a fulfilling learning experience in learning theory. However, observation and interviews are often used to investigate peer group learning dynamics from a qualitative perspective. Hence, more data-driven analysis needs to be performed to investigate the physical interaction in peer learning. This paper complements existing works by proposing a framework for exploring students’ physical interaction in peer learning based on the graph analytics modeling approach focusing on both centrality and community detection, as well as visualization of the graph model for more than 50 students taking part in group discussions. The experiment was conducted during a mathematics tutorial class. The physical interactions among students were captured through an online Google form and represented in a graph model. Once the model and graph visualization were developed, findi...

Unpredictable events (UE) are major factors that cause crew rescheduling to be performed. One of ... more Unpredictable events (UE) are major factors that cause crew rescheduling to be performed. One of the UE is when a crew is late for duty. In this research, it is termed as Late for Sign-On (LFSO). When LFSO occurred, the reschedule is needed to make sure available crew take the duty. Currently, there is no automated mechanism to handle the LFSO. Real time rescheduling approaches mostly are not supported due to static schedules constraint. Mathematical approaches require extensive computational power therefore delayed the real-time results. Meanwhile, manual rescheduling is prone to error and not optimum. This research objective is to develop a new approach in automating the crew rescheduling process using multiagent system. The agents dynamically adapt their behaviour to changing environments quickly and find solutions via negotiations and cooperation between them. Experiment is conducted using AgentPower simulation tool. The result concluded that the proposed technique is capable to...

Scientific Journal of Informatics, 2021

Keywords are the labels of your manuscript and critical to correct indexing and searching. MRI or... more Keywords are the labels of your manuscript and critical to correct indexing and searching. MRI or Magnetic Resonance Imaging is one of the health technologies used to scan the human body in order to get an image of an orgasm in the body. MRI imagery has a lot of noise that blends with the tumor object, so the tumor is quite difficult to detect automatically. In addition, it will be difficult to distinguish tumors from brain texture. Various methods have been carried out in previous studies. The method often used in the previous method is segmentation, but the process is quite heavy and the results that are less accurate are still the main obstacles. This study combines the K-Means method and Fuzzy C-Means (FCM) to detect tumors on MRI. The purpose of the combination is to get the advantages of each algorithm and minimize weaknesses. The method used is Contrast Adjustment using Fast Local Laplacian, K-Means FCM, Canny edge detection, Median Filter, and Morphological Area Selection. T...

2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT), 2015

This study focuses on deploying an evaluation system for lecturer to provide assessment document ... more This study focuses on deploying an evaluation system for lecturer to provide assessment document question sets such as final examination paper which is based on the outcome-based-education (OBE) approach. Using the OBE approach, student's level of understanding, skill and cognition is set to align with learning outcomes (LO) and program outcomes (PO). However, in preparing the assessment as such the final examination, lecturers may tend to forget making an alignment with the LO and PO. In current practice, most lecturers preparing the final examination document find that it was quite tedious and challenging making sets of questions to align with the LO and PO. Thus, they need to consider the suitability of marks given according to the level of difficulties of those questions. As a result, in each semester, lecturers need to provide documents of examination questions papers, the examination answer scheme and the table of specification test. All these documents were provided manually and some of them did not manage to prepare the required documents properly. Thus, a prototype of Examination and Quiz System (EQs) with Outcomes-Based-Education is proposed. The objectives of this research are two folds: (a) to propose an automated examination document that align with the LO and PO; (b) to generate an automated Table of Specification Test based on the automated examination document. The impact of the new approach giving an innovative perspective in education world, which time allocation for preparing final examination questions is reduced and the question set is aligned with LO and PO.

This paper propose an optimization technique, based on Slantlet Transform (SLT) and Particle Swar... more This paper propose an optimization technique, based on Slantlet Transform (SLT) and Particle Swarm Optimization (PSO). In order to improve the quality image to achieve the imperceptibility without losing robustness, an optimal scheme for embedding the secret message derived from PSO. The propose technique takes an advantages of SLT that was better time localization as an improved version of Discrete Wavelet Transform (DWT). In additional, SLT is a piecewise linear and used two zero moment in which SLT is better signal compression better than DWT and Discrete Cosine Transform (DCT). Meanwhile, PSO as a popular optimization technique and has been successed to use as a method to balance the imperceptibility and robustness, it is because PSO serves the weighting factor inside of embedding process. As we know that there is researcher ever done using SLT and PSO in watermarking, this paper used to investigate the capability of SLT-PSO in order to achieve imperceptibility without losing ro...

The advancement in technology such as the use of CCTV has improved the effects of monitoring crow... more The advancement in technology such as the use of CCTV has improved the effects of monitoring crowds. However, the drawback of using CCTV is that the observer might miss some information because monitoring crowds through CCTV system is very laborious and cannot be performed for all the cameras simultaneously. Hence, integrating the image processing techniques into the CCTV surveillance system could give numerous key advantages, and is in fact the only way to deploy effective and affordable intelligent video security systems. Meanwhile, in monitoring crowds, this approach may provide an automated crowd analysis which may also help to improve the prevention of incidents and accelerate action triggering. One of the image processing techniques which might be appropriate is moment invariants. The moments for an individual object have been used widely and successfully in lots of application such as pattern recognition, object identification or image reconstruction. However, until now, mome...

The development of personal monitoring system aims as an initial study for home surveillance syst... more The development of personal monitoring system aims as an initial study for home surveillance system that covers only frontal view of human face. This study focuses on a combination of computer vision analysis and video surveillance which has a wide range of application in monitoring and surveillance system. In general, the monitoring and surveillance system is vital in reducing crime cases as well as to protect public safety. Moreover, the development of personal monitoring focuses on two objectives; detecting the existence of human and performing face recognition for the detected human, which covers the pre-processing, processing and post processing stages. In the processing stage, background subtraction and Histogram of Gradient texture analysis techniques are used for human detection process. On the other hand, the Haar cascade and Eigenface recognizer techniques are used in the face recognition process. As the results, the combinations of these techniques from two phases produce...

The advancement of technology today encourages the use of the internet for various purposes which... more The advancement of technology today encourages the use of the internet for various purposes which include the development of e-Masjid to spread information of activities organized by the local mosque. However, the penetration among users in browsing e-Masjid is still far behind as compared to the penetration of other electronic portal sites. ECommunity model is a suitable model that can be adapted to the model of e-Masjid because it has a similar feature and role with e-Masjid. This study aims at adapting five features of e-Community to the model of e-Masjid; namely fast loading, interaction, information and community news, policy and service. Thus, this paper proposes the adaptation on of e-Community features into the conceptual framework model of e-Mosque. We study the features of e-Community in such that we think it will strengthen e-Masjid among the internet users. Keywords—e-Masjid; Mosque; e-Community; service and adaptation

Orthogonal moment functions have long been used in image analysis. This paper proposes a novel ap... more Orthogonal moment functions have long been used in image analysis. This paper proposes a novel approach based on 4x4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices as well as a block-wise reconstruction technique to eliminate possible occurrences of numerical instabilities at higher moment orders. Then the 4x4 Tchebichef Moment Transform and Discrete Cosine Transform have been compared. The results show that the 4x4 Tchebichef moment has significant advantages over the other technique in terms of its error reconstruction, average bit-length of Huffman codes and image quality. Moreover, Tchebichef moment provides a compact support to sub-block reconstruction for image compression. Tchebichef Moment Compression clearly performs potentially better for broader domains on real digital images and graphically generated images.

2021 International Seminar on Application for Technology of Information and Communication (iSemantic)

In the case of diabetes classification, a lot of research has focused on one dataset with limited... more In the case of diabetes classification, a lot of research has focused on one dataset with limited attributes, so that various methods are used to optimize the classification process and improve accuracy. This research aims to prove that attribute selection has an important role in the classification process, especially in the Random Forest (RF) method. RF has a bagging feature that is quite reliable in the learning process on an unbalanced dataset. In this research, two datasets that have different types and numbers of attributes were compared. The results of the test show that the attributes age, bs _ fast, bs _pp, plasma_r, plasma_f, hba1c, and type/class have an important role in improving the accuracy of the classification of diabetes Mellitus. By using the RF method, data cleaning and attribute selection can produce 100% accuracy on Abel Vika's Diabetes dataset, even though it uses a relatively small number of trees. This has also been validated by the k-fold cross-validation method.

Software reuse is one of the vital attribute which has high qualification in software engineering... more Software reuse is one of the vital attribute which has high qualification in software engineering. The reuse of any existing components can improve the productivity, quality, reliability, and it can also notably lower total costs and saves time. Thus , it is so important to use software reuse in this research. However, to make a pakej of interactive learning, any components should introduce reuse in the integral modul so that modul can raise good quality in making the modul of interactive learning. Furthermore, this project must identify and classify the features of software reuse towards the pakej of interactive learning especially for the young children. Besides that, a prototype for generating the results that have been done by the users by using software reuse can effort in different learning modules.