Claim Missing Document
Check
Articles

Found 3 Documents
Search

Bayesian Spatial Modeling of Landslide Events Using Integrated Nested Laplace Approximation (INLA): A Study Case on Natural Conditions and Community Actions in East Java, Indonesia Alfarisi, Salman; Christina, Athalia; Naqiya, Sadiyana Yaqutna; Rachmawati, Ro'fah Nur; Machmud, Amir; Palupi, Endah Kinarya
International Journal of Hydrological and Environmental for Sustainability Vol 2, No 3 (2023): 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.v2i3.354

Abstract

Bayesian Spatial Modeling Using Integrated Nested Laplace Approximation (INLA) is an advanced statistical technique that can be used to model and analyze occurrences in geographic areas. Landslides are one of natural disasters that occur due to natural and human factors and pose a serious threat to East Java Province which has complex natural conditions. The disaster brings various losses, including economic, infrastructural, human life, and environmental. This study investigates the factors contributing to landslides across 29 districts and 9 cities in East Java, Indonesia, using spatial regression modeling by Integrated Nested Laplace Approximation (INLA). The factors include the number of seaside villages, the number of slope topography villages, and the area of temporarily uncultivated gardens and fields in 2021. The modeling results show that the number of seaside villages, the number of slope topography villages, and the area of fields that are temporarily uncultivated have a significant influence on the occurrence of landslides so that efforts to mitigate and prevent such disasters can be focused on the contributing factors. We conclude that the model might be able to identify potential landslide risk areas through mapping.
Review Komprehensif : Studi Perbandingan Antara Material Logam dan Komposit untuk Pembuatan Helm Anti Balistik Miwazuki, Shella Athaya; Anisa, Puspita; Rustama, Ravania Zackeisha; Christina, Athalia; Aritonang, Sovian
Rekayasa Material, Manufaktur dan Energi Vol 7, No 1: Januari 2024
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v7i1.17285

Abstract

The need to develop protective systems to protect against attacks from various sources is increasingly becoming a personal, social and national security issue. To develop innovative armor systems, it is necessary to monitor the developments made on the types, technology and performance of threats (weapons, projectiles, explosives, etc.) In particular, the use of helmets of a high level of protection on the battlefield is essential. Therefore, the development of evaluation methods that can predict injury and trauma is very important. However, the risk of injury or trauma that may result from induced acceleration is an additional consideration. To develop new materials and layouts for helmets, it is necessary to study the impacts caused by ballistic impacts on the human head in various scenarios. Composite materials in military applications have proven to be superior to metal materials, in increasing the mobility of Force personnel. The use of composite materials in military helmets is very important in relation to the speed of incoming bullets, one of which is made from thermoplastic and thermoset polymers. Particle composite material composed of Bisphenol A epoxy resin matrix and reinforcement in the form of Javanese jute fiber which is applied to bulletproof helmets. When using this composite, you can determine the number of sheets of Javanese jute fiber that is effective against the force of the bullet fired, this is to support the safety of its use.
Applied Algebra for Image Compression: A Systematic Literature Review Alfarisi, Salman; Sitanggang, Rivilyo Mangolat Rizky; Christina, Athalia
Jurnal Ilmu Komputer dan Informatika Vol 4 No 2 (2024): JIKI - Desember 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jiki.208

Abstract

Kompresi citra berperan penting dalam mengurangi ukuran file gambar tanpa mengorbankan kualitas signifikan, yang krusial untuk efisiensi penyimpanan dan kecepatan transmisi data di era digital. Penelitian ini melakukan tinjauan sistematis terhadap literatur terkait kompresi citra untuk menganalisis jenis gambar, algoritma, metode, serta metrik evaluasi yang digunakan. Dengan berpedoman pada Kitchenham's Guidelines for Performing Systematic Literature Review in Software Engineering Version 2.3, sebanyak 23 dari 28 jurnal yang diidentifikasi memenuhi kriteria inklusi dengan fokus utama pada implementasi kompresi citra. Hasil kajian menunjukkan bahwa citra grayscale, citra hasil komputerisasi, dan objek fotografi adalah jenis citra yang paling banyak digunakan. Di sisi metode, algoritma Singular Value Decomposition (SVD) mendominasi penelitian kompresi, sedangkan Peak Signal-to-Noise Ratio (PSNR) dan Mean Squared Error (MSE) adalah metrik utama dalam mengevaluasi kualitas kompresi gambar. Penelitian ini memberikan panduan komprehensif bagi peneliti dan praktisi dalam memilih metode kompresi optimal sesuai kebutuhan, baik untuk penyimpanan maupun transmisi data digital. Penelitian ini diharapkan menjadi acuan bagi studi selanjutnya dalam mengembangkan teknik kompresi yang lebih efisien dan inovatif, serta mendorong kemajuan dalam komunikasi digital di era data besar. Dengan demikian, hasil ini diharapkan memberikan dampak signifikan dalam mempercepat pemrosesan, mengurangi biaya penyimpanan, dan mendukung efisiensi sistem komunikasi berbasis gambar.