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KUBIK: Jurnal Publikasi Ilmiah Matematika
Published by UIN Sunan Gunung Djati Bandung
ISSN : 23380896     EISSN : 26860341     DOI : 10.15575/kubik
Core Subject : Economy, Science, Education,
Computer Science & IT Economics, Econometrics & Finance Mathematics
Fuzzy Systems and its Applications Geometry Theories and its Applications Graph Theories and its Applications Real Analysis and its Applications Operation Research and its Applications Statistical Theories and its Applications Dinamical Systems and its Applications Mathematics Modeling and its Applications Discrete Mathematics and its Applications Computer Mathematics and its Applications Mathematics Actuaria and its Applications
Arjuna Subject : Matematika - Matematika Terapan
Articles 157 Documents
 9   10   11   12   13 
Comparative Study of Parameter Estimation Methods in Pharmacokinetic Model with Oral Administration: Simulations of Theophylline Drug Concentration Zulkarnaen, Diny
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.31233

Abstract

Parameter estimation for the elimination and absorption rate constants is performed in a pharmacokinetic model, where a drug is administered orally. Some methods have been introduced to estimate these parameters but without comparison which one gives better estimates. Here, two different methods are used for comparison in estimating the absorption rate constant: the Wagner-Nelson and residual methods. The Wagner-Nelson method requiring fewer data sets while the residual method uses all available data sets for estimation. For the elimination rate constant estimate, we use only the least square error method. Simulations are conducted using sample data points of Theophylline drug concentration that varies over time to estimate the parameters. These parameter values are then utilized to approximate the drug concentration over time, using both methods. These approximations are then compared with the actual data sets to see and calculate the error values so that the best method can be determined. The comparison shows that the residual method provides better approximation since this method utilizes the entire sample data points, while the Wagner-Nelson uses only the data in the beginning time, that is when the absorption process is dominant.
Peramalan Menggunakan Model Holt-Winters Exponential Smoothing Multiplikatif dengan Optimasi Parameter Menggunakan Particle Swarm Optimization (PSO) Martina, Annisa; Dewi, Apianti Setia; Awalluddin, Asep Solih
KUBIK Vol 9, No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.31368

Abstract

Peramalan merupakan suatu metode yang digunakan untuk memprediksi kejadian di masa yang akan datang berdasarkan pada sekumpulan data historis. Adanya pola trend dan musiman multiplikatif pada suatu data memerlukan metode peramalan yang sesuai agar peramalan yang dilakukan dapat memberikan hasil yang baik. Model Holt-Winters Exponential Smoothing Multiplikatif merupakan salah satu yang dapat mengatasi data dengan pola tersebut. Pada Holt-Winters Exponential Smoothing Multiplikatif terdapat nilai parameter pemulusan yang biasanya diperoleh dengan menggunakan trial and error. Namun, metode trial and error dirasa kurang efektif karena akan ada banyak kombinasi parameter pemulusan yang mungkin memberikan hasil peramalan optimal. Oleh karena itu, metode Particle Swarm Optimization digunakan untuk mengoptimasi parameter pemulusan Holt-Winters Exponential Smoothing Multiplikatif dengan nilai MAPE sebagai nilai akurasi peramalan. Dari hasil simulasi yang dilakukan diperoleh bahwa metode Particle Swarm Optimization memiliki kinerja yang baik dalam memperoleh nilai parameter pemulusan Holt-Winters Exponential Smoothing Multiplikatif dalam meramalkan data jumlah kunjungan wisatawan mancanegara ke Indonesia.
Panel Data Analysis of Two Level Mixed Linear Models for Factors Affecting The Health Index in West Java Awalluddin, Asep Solih; Khumaeroh, Mia Siti; Amalia, H.; Wahyuni, Inge
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.31369

Abstract

The purpose of this study is to construct a multilevel mixed linear model for panel data by estimating parameters and testing the hypothesis of fit of the model with case studies in determining the prediction of the health index for the marginal and conditional models on the factors that influence the prediction of the health index in West Java for 2016 data. -2021, with time (year) and region (district and city) variables as factors involved in the model. Multilevel mixed linear model is the development of a mixed linear model that can be used to analyze correlated panel data. Parameter estimation uses the Maximum Likelihood (ML) method to estimate fixed effect parameters and Restricted Maximum Likelihood (REML) to estimate covariance parameters. The results obtained by the health index prediction model in West Java, both for the marginal and conditional prediction models and goodness of fit model.
The Effect of Virotherapy, Chemotherapy, and Immunotherapy to Immune System: Mathematical Modelling Approach Sa'adah, Aminatus; Prihantini, Prihantini; Masulah, Bidayatul
KUBIK Vol 8, No 2 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v8i2.29521

Abstract

Medical research and therapeutic interventions continue to evolve, and one interesting area of study is the complex interaction among virotherapy, chemotherapy, and the immune system. Each treatment has its own advantages and disadvantages. In this study, a mathematical model was developed to describe how the immune system, tumor cells, and normal cells interact when all three types of therapy are used to treat cancer patients. To determine the effectiveness of various treatments, numerical simulations of eight different treatment strategies were performed. These simulations measured how much the concentration of immune cells, tumor cells, and normal cells decreased as a result of the treatment. Based on the numerical simulations performed, the application of the three types of therapy provided the greatest reduction (99%) in the concentration of tumour cells but also provided a significant reduction (68%) in the concentration of immune cells in the body.
Model Konvensional Satu Titik untuk Mengoptimalkan Masalah Transportasi Fuzzy Trapesium Mujtaba, A; Syariah, Ai Munirotusy; Patimah, Ain Fitriyani; Wulan, Elis Ratna
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.35949

Abstract

Solving fuzzy trapezoidal transportation problem can use a one-point approach to obtain the optimal solution. The one-point method transforms the four points of the trapezoidal number into crisp transportation problems. This method comes with a minimum approach of supply and demand. In the end, these solutions are combined to obtain the optimal solution. The modified distribution is applied to each crisp problem to develop an optimal solution. The presented scheme is compared with competitive methods available in the literature and found to have good coordination with these methods. 
Gelanggang Prima Lemah Kiri Penuh Taufiqurrahman, Muhammad Nur Hidayat; Nasution, Dellavitha
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33239

Abstract

Tulisan karya Abouhalaka dan Findik [7] yang berjudul “Almost Prime Ideals in Noncommutative Rings” menghasilkan konsep tentang gelanggang dengan setiap ideal kanannya adalah ideal hampir prima yang disebut dengan gelanggang hampir prima kanan penuh. Paper ini menerapkan konsep tersebut untuk ideal prima lemah kiri, dan akan membuktikan bahwa sifat-sifat pada ideal hampir prima kanan yang diperoleh Abouhalaka dan Findik  juga berlaku pada ideal prima lemah kiri dengan suatu kondisi tambahan. Selain itu, penulis memberikan hasil tambahan untuk modul fraksi yang merupakan ideal hampir prima.
Penerapan Model Geographically Weighted Regression pada Data Penetapan Warisan Budaya Takbenda di Indonesia Pratomo, Firdaus Ryan; Kusuma, Dianne Amor; Ruchjana, Budi Nurani
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33492

Abstract

Intangible Cultural Heritage (WBTb) determination data in Indonesia is a cultural investment that needs to be preserved. One of the efforts to preserve WBTb is to determine the cultural preservation factors that influence the WBTb determination data in Indonesia. These factors include Percentage of Population Watching Performances/Art Exhibitions (PPWP), Percentage of Population Using Regional Languages (PPURL), and Percentage of Households Using Traditional Products (PHUTP). However, the different cultural wealth in each province results in spatial heterogeneity, resulting in differences in the determination of cultural preservation factors in each province. This determination can be done with the Geographically Weighted Regression (GWR) model. This study aims to apply the GWR model with Fix Gaussian Kernel, Fix Bisquare Kernel, and Fix Tricube Kernel weighting to determine cultural preservation factors in WBTb determination data in Indonesia so that it can be known what cultural preservation factors are most influential in each region. The research findings show the existence of spatial heterogeneity only in the category of WBTb designation data for Performing Arts (PA) and Oral Expression Tradition (OET), as well as different GWR models in each province that reflect differences in cultural preservation factors. Evaluation with the coefficient of determination shows that the GWR model with the Fix Gaussian Kernel weighting function is the best model for the PA category. 
Implementation of Particle Swarm Optimization (PSO) Method In Determining The Composition of Animal Feed In Broiler Chickens With Minimum Cost Dewi, taslima; husein, ismail
KUBIK Vol 8, No 2 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v8i2.29631

Abstract

 Ayam pedaging merupakan salah satu jenis unggas vertebrata dan daging yang paling populer untuk dikonsumsi masyarakat Indonesia. Pertumbuhan ayam broiler sangat dipengaruhi oleh kualitas pakan yang diterimanya. Komposisi pakan tentunya harus memenuhi nutrisi yang dibutuhkan ayam broiler dengan harga minimal. Optimasi komposisi pakan dilakukan dengan metode Particle Swarm Optimization (PSO). Metode Particle Swarm Optimization (PSO) merupakan teknik optimasi yang mengikuti perilaku sekelompok makhluk hidup untuk seumur hidup seperti sekelompok burung dan sekelompok ikan dalam mencari makanan. Dalam optimasi pakan dengan metode PSO ditentukan dengan melihat beberapa partikel dan mana partikel yang mempunyai nilai kebugaran terbaik. Penelitian ini bertujuan untuk melihat hasil optimasi komposisi pakan dengan metode PSO. Dari perhitungan menggunakan metode PSO dengan harga dari peternak memberikan selisih harga sebesar Rp. 186 dimana parameter PSO yang digunakan adalah r1 dan r2 sebesar 0,2 dan 0,4 serta nilai c1 dan c2 sebesar 2,1 dan 0,9
Harnessing Machine Learning for Crypto-Currency Price Prediction: A Review Ali, Zeravan Arif; Abdulazeez, Adnan M.
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33423

Abstract

Despite their recent inception, cryptocurrencies have become globally recognized for their dispersal, diversity, and high market capitalization. This volatility developed into a challenge for investors looking to predict price movements. Thus, it has become an attractive investment opportunity. To increase prediction accuracy, researchers integrate machine learning algorithms with technical indicators. In this review, a systematic comparison has been employed to identify efficient algorithms, and researchers have employed statistical measures to make short- and long-term forecasts of decentralized money prices. Moreover, the paper highlights the results of researchers based on machine learning and deep learning methodologies on multiple types of cryptocurrencies like Bitcoin, Ethereum, Monero, etc. Lastly, the work emphasizes the limitations, gaps, and challenges facing researchers to take advantage of existing literature for future works.
Analisis Pola Konvergensi Transpor Kelembapan Udara di Indonesia Bagian Barat Menggunakan K-Means dengan Pembobotan Statistik dan Hierarchical Shape-Based Clustering Pratiwi, Asri; Azis, Tukhfatur Rizmah; Fitrianto, Anwar; Erfiani, Erfiani; Jumansyah, L.M. Risman Dwi
KUBIK Vol 9, No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i2.39753

Abstract

This study analyzes the convergence patterns of Vertically Integrated Moisture Transport (VIMT) in the western region of Indonesia using the K-Means method with statistical weighting and Hierarchical Shape-Based Clustering based on Dynamic Time Warping (DTW). Daily data on specific humidity, zonal wind speed, and meridional wind speed from 2020–2023 were used to calculate VIMT. Clustering methods were utilized to identify grouping patterns in moisture transport data. The results showed that moisture convergence significantly increased during the rainy season (November–February). Using the K-Means method, five clusters with clearer separations were obtained compared to the four clusters produced by the Hierarchical Clustering method. Performance evaluation using Silhouette and Calinski-Harabasz scores indicated that the K-Means method was superior, with scores of 0.37 and 104.88 compared to 0.13 and 96.34 for the Hierarchical method. This provides an understanding of the moisture transport patterns, serving as a reference for predicting weather and climate patterns, thereby supporting efforts to mitigate the impacts of extreme weather in Western Indonesia.

Page 11 of 16 | Total Record : 157

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