Garuda - Garba Rujukan Digital

Trajectory of life expectancy and its relation with socio-economic indicators among developing countries in Southeast Asian Madona Yunita Wijaya; Yanne Irene; Iqbal Rachadi
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2023 No. 1 (2023): Proceedings of 2023 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2023i1.307

Life expectancy is a one of key global health indicators and plays an important role in health policy measures. The status of a country indirectly influences the life expectancy of a nation. Developing countries have slower economic progress compared to developed countries, which in turn affects the well-being of the population. Therefore, this study aims to analyze the trend of life expectancy among developing countries in Southeast Asian and assess the influence of socio-economic indicators in life expectancy. Linear mixed effects model is used to model the association between socioeconomic factors and life expectancy. The results indicate that GDP growth rate, GDP per capita, and unemployment rate have significant impact on life expectancy and the impacts depend on gender. Life expectancy among females is generally higher than males. Prediction of life expectancy in males in year 2025 is found the lowest in Myanmar with average of 64.2 years (95%CI: 60.8-77.1) and the highest in Thailand with average of 76.2 years (95%CI: 60.7-76.9). Meanwhile, prediction of life expectancy in females is found the lowest in Timor Leste with average of 71.1 years (95%CI: 67.8-83.9) and the highest in Thailand with average of 84.3 years (95%CI: 68.7-84.9).

Application Bootstrap to Estimate the Confidence Intervals of NO2 Levels in the Kriging Method Nina Fitriyati; Yanne Irene; Azzahra Benita
Jurnal EurekaMatika Vol 11, No 2 (2023): Jurnal Eurekamatika
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jem.v11i2.66241

NO2 levels must be monitored continuously to minimize negative environmental impacts. In general, the estimation of NO2 levels using the Kriging method produces point estimates. In this study, we developed an interval estimate for NO2 levels by applying the quasi-random Bootstrap resampling method. We used data on NO2 levels in 14 areas in South Tangerang City in 2021. The data is stationary, so the appropriate estimation method is ordinary kriging. To develop the 95% confidence interval, we applied 1000 resamplings to the Bootstrap. The estimation results show that the lowest 95% confidence interval for NO2 levels is in the range of 25.23123 – 27.82351 μgr/m3 in Pamulang Timur Village, and the highest 95% confidence interval for NO2 levels is in the range of 45.59886 – 46.08371 μgr/m3 in the Ciater Village.Keywords: Bootstrap, Confidence Interval, Kriging, Quasi-Random. AbstrakKadar NO2 perlu dipantau secara terus menerus untuk meminimalisir dampak negatif terhadap lingkungan. Pada umumnya, estimasi kadar NO2 menggunakan metode kriging menghasilkan estimasi titik. Pada penelitian ini akan dikembangkan estimasi selang untuk kadar NO2 dengan mengaplikasikan metode resampling quasi-random bootstrap. Data yang digunakan adalah kadar NO2 pada 14 wilayah di Kota Tangerang Selatan tahun 2021. Data tersebut stasioner sehingga metode estimasi yang digunakan adalah ordinary kriging. Untuk pembentukan selang kepercayaan 95% diaplikasikan 1000 resampling pada metode bootstrap. Hasil estimasi menunjukkan bahwa selang kepercayaan kadar NO2 terkecil berada pada rentang nilai 25,23123 – 27,82351 yang berlokasi di Kelurahan Pamulang Timur dan selang kepercayaan kadar NO2 terbesar berada pada rentang 45,59886 – 46,08371 yang berlokasi di Kelurahan Ciater.

Perbandingan Model Klasifikasi Transfer Learning Convolutional Neural Network Tumor Otak menggunakan Citra Magnetic Resonance Imaging Noval Pratama; Muhaza Liebenlito; Yanne Irene
Jurnal Sehat Indonesia (JUSINDO) Vol. 6 No. 01 (2024): Jurnal Sehat Indonesia (JUSINDO)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jsi.v6i01.81

Analisis tumor otak menjadi subjek penting dalam kedokteran, di mana deteksi yang cepat dan akurat dapat mengarah pada perawatan yang lebih baik. Tujuan penelitian ini adalah untuk membandingkan dan mengevaluasi kinerja delapan model arsitektur jaringan pre-built yang telah dibangun sebelumnya dalam mengklasifikasikan tumor MRI menggunakan metodologi pembelajaran transfer learning. Pada penelitian ini dataset yang digunakan merupakan citra Magnetic Resonance Imaging (MRI) sebanyak 3.264 yang terdiri dari meningioma, glioma, pituitary dan yang tidak menderita tumor otak. Pada penelitian ini, peneliti menggunakan arsitektur jaringan yang telah dilatih sebelumnya pada kumpulan data besar untuk tugas klasifikasi umum. Pendekatan pembelajaran transfer ini memungkinkan kita untuk memanfaatkan fitur tingkat tinggi yang telah dipelajari oleh model dalam dataset umum dan menyesuaikannya dengan dataset spesifik tumor otak yang lebih kecil. Hasil eksperimen menunjukkan bahwa pendekatan transfer learning ini berhasil mengklasifikasikan jenis tumor otak dengan akurasi yang memuaskan, bahkan dengan dataset yang terbatas. Teknik ini menjanjikan untuk meningkatkan diagnosis dini dan manajemen tumor otak dalam praktik klinis dengan memanfaatkan kekuatan model yang ada tanpa perlu melatih model dari awal.

On Super (a,d)-C_3- Antimagic Total Labeling of Dutch Windmill Graph D_3^m Irene, Yanne; Mahmudi, Mahmudi; Nurmaleni, Nurmaleni
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 1 (2024): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i1.565

This paper is aimed to investigate the existence of super (a,d)-C_3- antimagic total labeling of dutch windmill graph D_3^m . The methods to achieves the goal was taken in three step. First of all determine the edge and vertices notation on dutch windmill graph . At the second step, labeling the vertices and edges of several dutch windmill graphs, then obtained the pattern. Finally pattern must be proven to become theorem. Based on the study, The Dutch Windmill Graph D_3^m, with m>=2 has super (14m+9,5)-C_3- antimagic total labeling, super (13m+8,3)-C_3- antimagic total labeling, super (12m+9.,5)-C_3- antimagic total labeling, super (11m+10.,7)-C_3- antimagic total labeling, super (10m+8.,3)-C_3- antimagic total labeling.

Product Cordial Labeling Of Scale Graph S_{1,r}\left(C_3\right) For r\geq3 Irene, Yanne; Lestari, Winda Ayu Mei; Mahmudi, Mahmudi; Manaqib, Muhammad; Elfiyanti, Gustina
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 4 (2024): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i4.662

Graph theory plays a crucial role in various fields, including communication systems, computer networks, and integrated circuit design. One important aspect of this theory is product cordial labeling, which involves assigning labels to the vertices and edges of a graph in a specific way to achieve a balance. Despite extensive research, the product cordial labeling of scale graphs has not been thoroughly explored. This study aims to fill this gap by investigating whether the scale graph can be labeled in a product cordial manner. To achieve this, we followed a three-step methodology: first, we identified the vertices and edge notations of the scale graph ; second, we assigned binary labels (0 and 1) to each vertex and edge to identify a pattern; and third, we proved that this pattern meets the criteria for product cordial labeling. Our findings reveal that the scale graph does indeed support product cordial labeling, thus confirming it as a product cordial graph. This research not only advances our understanding of graph labeling but also provides practical insights that can be applied to optimize network structures and address complex problems in science and engineering.Graph theory plays a crucial role in various fields, including communication systems, computer networks, and integrated circuit design. One important aspect of this theory is product cordial labeling, which involves assigning labels to the vertices and edges of a graph in a specific way to achieve a balance. Despite extensive research, the product cordial labeling of scale graphs has not been thoroughly explored. This study aims to fill this gap by investigating whether the scale graph can be labeled in a product cordial manner. To achieve this, we followed a three-step methodology: first, we identified the vertices and edge notations of the scale graph ; second, we assigned binary labels (0 and 1) to each vertex and edge to identify a pattern; and third, we proved that this pattern meets the criteria for product cordial labeling. Our findings reveal that the scale graph does indeed support product cordial labeling, thus confirming it as a product cordial graph. This research not only advances our understanding of graph labeling but also provides practical insights that can be applied to optimize network structures and address complex problems in science and engineering.

DUAL RECIPROCITY BOUNDARY ELEMENT METHOD FOR SOLVING TIME-DEPENDENT WATER INFILTRATION PROBLEMS IN IMPERMEABLE CHANNEL IRRIGATION SYSTEMS Irene, Yanne; Manaqib, Muhammad; Alamsyah, Mochammad Rafli; Wijaya, Madona Yunita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2583-2596

The mathematical model of water infiltration in a furrow irrigation channel with an impermeable layer in homogeneous soil is formulated as a Boundary Value Problem (BVP) with the Modified Helmholtz Equation as the governing equation and mixed boundary conditions. The purpose of this study is to solve the infiltration problem using the Dual Reciprocity Boundary Element Method (DRBEM). The results show that the highest values of suction potential and water content are located beneath the permeable channel, while the lowest values are found at the soil surface outside the channel and beneath the impermeable layer. The values of suction potential and water content increase over time t and converge, indicating stability in the infiltration process. These findings align well with real-world scenarios, demonstrating that the developed mathematical model and its numerical solution using DRBEM accurately illustrate the time-dependent water infiltration process in impermeable furrow irrigation channels.

An Analysis of Water Infiltration in Furrow Irrigation Channels with Plants in Various Types of Soil in the Special Region of Yogyakarta Using Dual Reciprocity Boundary Element Method Irene, Yanne; Manaqib, Muhammad; Ramadhanty, Vina Wulandari; Ria Affriani, Asri
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 3 (2024): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i3.19873

The analysis of water infiltration channels requires significant time and cost when conducted through laboratory experiments. Alternatively, mathematical modeling followed by numerical method can be employed. The mathematical model of water infiltration in furrow irrigation channels takes the form of a boundary value problem, with the Helmholtz equation serving as the governing equation. The Dual Reciprocity Boundary Element Method (DRBEM) is a numerical method derived from the Boundary Element Method (BEM), utilized for solving partial differential equations encountered in mathematical physics and engineering. This research employs DRBEM to analyze infiltration in trapezoidal irrigation channels with root-water uptake across various homogeneous soil types prevalent in agricultural lands in each District/City of the Yogyakarta Special Region Province. The results demonstrate that DRBEM provides numerical solutions for suction potential, water content, and root water absorption for each soil type. It was found that sandy soil exhibits high water content but has a low rate of root water absorption. On the other hand, clayey soil has low water content but a higher rate of root water uptake. These findings indicate that sandy soil, such as those found in Sleman District and Yogyakarta city, are less efficient in water usage when employing the furrow irrigation system, whereas clayey soil, as found in Gunung Kidul regency, is more effective.

Perbandingan Model Klasifikasi Transfer Learning Convolutional Neural Network Tumor Otak menggunakan Citra Magnetic Resonance Imaging Pratama, Noval; Liebenlito, Muhaza; Irene, Yanne
Jurnal Sehat Indonesia (JUSINDO) Vol. 6 No. 01 (2024): Jurnal Sehat Indonesia (JUSINDO)
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jsi.v6i01.81

Analisis tumor otak menjadi subjek penting dalam kedokteran, di mana deteksi yang cepat dan akurat dapat mengarah pada perawatan yang lebih baik. Tujuan penelitian ini adalah untuk membandingkan dan mengevaluasi kinerja delapan model arsitektur jaringan pre-built yang telah dibangun sebelumnya dalam mengklasifikasikan tumor MRI menggunakan metodologi pembelajaran transfer learning. Pada penelitian ini dataset yang digunakan merupakan citra Magnetic Resonance Imaging (MRI) sebanyak 3.264 yang terdiri dari meningioma, glioma, pituitary dan yang tidak menderita tumor otak. Pada penelitian ini, peneliti menggunakan arsitektur jaringan yang telah dilatih sebelumnya pada kumpulan data besar untuk tugas klasifikasi umum. Pendekatan pembelajaran transfer ini memungkinkan kita untuk memanfaatkan fitur tingkat tinggi yang telah dipelajari oleh model dalam dataset umum dan menyesuaikannya dengan dataset spesifik tumor otak yang lebih kecil. Hasil eksperimen menunjukkan bahwa pendekatan transfer learning ini berhasil mengklasifikasikan jenis tumor otak dengan akurasi yang memuaskan, bahkan dengan dataset yang terbatas. Teknik ini menjanjikan untuk meningkatkan diagnosis dini dan manajemen tumor otak dalam praktik klinis dengan memanfaatkan kekuatan model yang ada tanpa perlu melatih model dari awal.

Dual Reciprocity Boundary Element Method for Steady Infiltration Problems from Furrow Irrigation Channels in Heterogeneous Soil Muhammad Manaqib; Yanne Irene; Muhaza Liebenlito; Rizki Aulia
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 1 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i1.4306

This research discusses solving the problem of infiltration of furrow irrigation channels in heterogeneous soil containing five soil layers using the Dual Reciprocity Boundary Element Method (DRBEM) numerical method. The mathematical infiltration model in furrow irrigation channels takes the form of the Richard Equation, which is transformed into a modified Helmholtz equation with mixed boundary conditions. Solving with DRBEM shows that in heterogeneous and homogeneous soils, the soil type influences the suction potential and water content values. Different soil depths in heterogeneous soil produce variations and jumps in suction potential and water content values in each soil layer.

Title

Found 19 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 19 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 19 Documents
Search