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All Journal Al-Jabar : Jurnal Pendidikan Matematika Desimal: Jurnal Matematika International Journal of Hydrological and Environmental for Sustainability International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Abdurrazzaq, Achmad
Universiti Malaysia Perlis
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Environmental Science Mathematics Physics Social Sciences

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 1 
Mapping Blue Economy Potential Using Spatial Statistical Downscaling Model: Analysis of the Impact of Climate Change on Freshwater Fish Resources Aghnyn, Mutiara; Rachmawati, Rofah Nur; Abdurrazzaq, Achmad; Brahme, Nameeta; Dixit, Aparna; Hadap, Arti
International Journal of Hydrological and Environmental for Sustainability Vol. 3 No. 1 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i1.440

Abstract

Blue Economy is a sustainable economic concept that focuses on utilizing economic resources in marine, coastal and land ecosystems. Sustainable use of freshwater resources in the blue economy for inland waters supports economic growth with environmental balance. The Statistical Downscaling method is used to understand the impact of climate change on freshwater fish resources. To carry out mapping of the potential of the blue economy, it is carried out by statistical downscaling modeling with satellite variables with Integrated Nested Laplace Approximation parameter estimates. The response variable is satellite variables in the form of average rainfall. The modeling results show that Kalipuro District has the highest blue economy potential, while Kalibaru has the lowest. From the research results, that satellite data on average rainfall is a strong basis for printing statistical downscaling, increasing efficiency with open source digital data sources. Satellite data integration, maximizing analysis and comprehensive blue economy potential efficiency.
White blood cell segmentation by using vector color approach Abdurrazzaq, Achmad; Junoh, Ahmad Kadri bin; Yulianto, Ilyasa Pahlevi Reza
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 1, No 1 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i1.158

Abstract

White blood cells play an important role in protecting the body from various types of diseases, therefore blood tests are done to determine a person’s disease. Diagnosis of blood diseases is done by analyzing and counting the white blood cells in the blood. Optimal calculations and analysis of white blood cell are important, so research on white blood cell detection is a rapidly growing topic. Many detection methods are proposed using the existing segmentation techniques. In this paper, the detection method is proposed using vector operation approach instead general segmentation technique. From the experiments performed, it is shown that the proposed method can detect white blood cells on smear images. Further, this method extracts the nucleus from white blood cells well.
Implementation of interpolation method in reconstructing damaged satellite image caused by impulse noise Riawan Syahrul Haz, Habban; Abdurrazzaq, Achmad; Junoh, Ahmad Kadri bin; Syazali, Muhamad
Al-Jabar: Jurnal Pendidikan Matematika Vol 14 No 2 (2023): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v14i2.14069

Abstract

Background: Images are extensively utilized in fields such as engineering, health, and defense. During transmission, these images often lose quality due to noise interference.Aim: The primary objective of this study is to develop a method to effectively reduce salt and pepper noise, a common issue in image transmission, and restore images to their original state.Method: To achieve this, we propose using a numerical approach based on the interpolation method, specifically designed to address the noise reduction challenge.Result: Experimental application of the interpolation method on various images demonstrated that it significantly enhances the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) values, especially for images with low to medium noise density.Conclusion: Compared to other methods, our interpolation-based approach shows superior performance in reducing salt and pepper noise in images, making it a promising solution for image restoration in various applications.
Central tendency approach: A modified recursive filter for impulse noise removal in SAR and optical satellite images Sugiarto, Wahyu Nurmedica; Abdurrazzaq, Achmad; Azzahra, Army Kanaya; Harits, Jiyaad Muhamad; Ziaulhaq, Muhammad Haikal
Al-Jabar: Jurnal Pendidikan Matematika Vol 16 No 1 (2025): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v16i1.24244

Abstract

Puspose: This study aims to develop a modified Conditional Random Recursive Central Tendency Filter (CRRCTF) with a fixed-size window to effectively address the challenges of salt-and-pepper impulse noise, particularly under high noise density conditions, while preserving critical image details.Method: The proposed approach is divided into three main phases: (1) detecting noisy pixels through a statistical thresholding mechanism, (2) applying pre-edge filtering to retain edge details, and (3) restoring noisy pixels using a central tendency-based recursive process. Quantitative evaluations were conducted using standard image datasets as well as SAR and optical satellite images to assess the method's robustness.Findings: Experimental results demonstrate the superior performance of the proposed filter, achieving average PSNR and SSIM values of 31.88 and 0.896, respectively, across noise densities ranging from 10 percent to 90 percent. For satellite images, the method achieved PSNR and SSIM values of 29.37 and 0.8096 for SAR images and 19.51 and 0.605 for optical images at an 80 percent noise density.Significance: The proposed CRRCTF method outperforms existing denoising algorithms in terms of image restoration quality, particularly under extreme noise conditions, making it a valuable tool for image preprocessing applications in both research and practical scenarios.
A random exploration based fast adaptive and selective mean filter for salt and pepper noise removal in satellite digital images Ramadhan, Bima; reza yulianto, Ilyasa pahlevi; Abdurrazzaq, Achmad; Kafilah Al Husein, Fulkan; Charmouti, Bilal
Desimal: Jurnal Matematika Vol. 5 No. 3 (2022): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v5i3.14424

Abstract

The digital image is one of the discoveries that play an important role in various aspects of modern human life. These findings are useful in various fields, including defense (military and non-military), security, health, education, and others. In practice, the image acquisition process often suffers from problems, both in the process of capturing and transmitting images. Among the problems is the appearance of noise which results in the degradation of information in the image and thus disrupts further processes of image processing. One type of noise that damages digital images is salt and pepper noise which randomly changes the pixel values to 0 (black) or 255 (white). Researchers have proposed several methods to deal with this type of noise, including median filter, adaptive mean filter, switching median filter, modified decision based unsymmetric trimmed median filter, and different applied median filter. However, this method suffers from a decrease in performance when applied to images with high-intensity noise. Therefore, in this research, a new filtering method is proposed that can improve the image by randomly exploring pixels, then collecting the surrounding pixel data from the processed pixels (kernel). The kernel will be enlarged if there are no free-noise pixels in the kernel. Furthermore, the damaged pixels will be replaced using the mean data centering statistic. Images enhanced using the proposed method have better quality than the previous methods, both quantitatively (SSIM and PSNR) and qualitatively.
Recursive trimmed filter in eliminating high density impulse noise from digital image Yulianto, Ilyasa Pahlevi Reza; Ramadhan, Bima; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 6 No. 1 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i1.16382

Abstract

Advances in technology have made it easier to share media over the Internet. In the process of media sharing, a media may receive noise or interference that results in loss of information. In this paper, a new method to remove Salt and Pepper noise from images based on recursive method will be presented. The first stage is to recognize the noise from the damaged image, the damaged pixels will be replaced by the mean of the surrounding window, the difference with other methods is the use of recursive approach that aims to minimize the size of the window in the recovery process.
KumahAbi method in the inquiry model: Improved concept understanding in multiplication materials Pratama, Ramadhany Adam; Puspita, Hany Dwi; Hoor, Adriana R. Elsa; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 6 No. 2 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i2.18400

Abstract

Mathematics is a subject studied from elementary school to university level. At the elementary school level, mathematics learning aims to provide students with an understanding of the concept of numbers. There are four basic arithmetic operations that must be mastered by primary school students, namely addition, subtraction, multiplication, and division. The concept of multiplication has a higher level of difficulty than addition or subtraction, so students need more time to master this concept. Learning methods applied in the classroom are important in encouraging students to understand learning. Conventional learning methods force students to memorize multiplication concepts, so students only memorize and do not understand basic concepts. Therefore, we need a learning method that can stimulate students' logical thinking and creativity in solving multiplication problems systematically. In this research, a new learning method was introduced by combining the inquiry learning model called the KumahAbi method. The results of this study show that the implementation of the KumahAbi method in learning is very effective in improving students' understanding of multiplication.
Ideal distribution route: An optimization approximation by using random search method Arsy, Abdu Afin; Shalih, Faris Alaudin; Al Husein, Fulkan Kafilah; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 7 No. 1 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i1.21580

Abstract

Distribution is the process of transferring goods from producers to consumers. In this process, both producers and consumers always expect a more efficient distribution system. One way to create an efficient distribution channel is by determining the ideal point for vital objects. By determining the ideal point, an optimal solution can be obtained in minimizing costs and improving the efficiency of the distribution system. This research discusses the determination of the ideal point using numerical optimization methods. Analytical and numerical approaches are used through the Modified Random Search method to formulate and analyze a mathematical model that can provide an optimal solution to the distribution problem. The proposed algorithm will be implemented to solve the energy distribution problem in the real environment. The aim is to test the effectiveness and accuracy of the proposed algorithm based on the solutions obtained. Based on the experimental results, distribution problems in general and energy distribution in particular are addressed better, and the distribution process is more efficient.
Estimating dredging volume at sunda pondok dayung dock using s-convex function-based curve fitting to ensure indonesian navy ship safety Ole, Yesaya Putra Dappa; Al Hazmy, Sofihara; Harist, Jiyaad Muhamad; Abdurrazzaq, Achmad
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26624

Abstract

This study investigated the application of s-convex function-based curve fitting for estimating the dredging volume at Sunda Pondok Dayung Dock to ensure the safety of Indonesian Navy vessels. The research aimed to develop an alternative method to conventional numerical integration techniques by employing s-convex curve fitting using both two-point and three-point approaches and by comparing its performance with the trapezoidal rule, Simpson’s 1/3 rule, and Simpson’s 3/8 rule. Data from Pushidrosal’s 2023 survey were utilized, and explicit analytical forms for definite integral estimation were derived by approximating the function with s-convex methods. The results demonstrated that although the trapezoidal method produced the smallest relative error, the s-convex approach yielded a comparable error margin, differing by only 0.038%, which indicated its viability as an alternative method for dredging volume estimation. Future research was suggested to extend s-convex curve fitting to more than three points to further improve accuracy.
Co-Authors Aghnyn, Mutiara Al Husein, Fulkan Kafilah Arsy, Abdu Afin Azzahra, Army Kanaya Brahme, Nameeta Charmouti, Bilal Dixit, Aparna Hadap, Arti Harist, Jiyaad Muhamad Harits, Jiyaad Muhamad Hoor, Adriana R. Elsa Junoh, Ahmad Kadri bin Kafilah Al Husein, Fulkan Muhamad Syazali Ole, Yesaya Putra Dappa Pratama, Ramadhany Adam Puspita, Hany Dwi Rachmawati, Rofah Nur Ramadhan, Bima reza yulianto, Ilyasa pahlevi Riawan Syahrul Haz, Habban Shalih, Faris Alaudin Sugiarto, Wahyu Nurmedica Yulianto, Ilyasa Pahlevi Reza Ziaulhaq, Muhammad Haikal