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Modifikasi Jubah Tembus Pandang Militer Dengan Memanfaatkan Material Kristal Anisotropik (Kalsit [CaCO3]) Talalu, Lidya Ananda; Sianipar, Alexcandro Hibertus; Aritonang, Sovian
Rekayasa Material, Manufaktur dan Energi Vol 8, No 1: Januari 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i1.21906

Abstract

The need for camouflage technology in the military is becoming increasingly urgent due to advancements in technology. Particularly in disguise operations, more sophisticated efforts are required to assist military personnel. Replacing facial camouflage gel with cloaks is considered more efficient as it can cover larger portions of soldiers' bodies. Therefore, an invisible cloak is developed utilizing anisotropic crystal materials, specifically calcite crystals (CaCO3), which work through light reflection to make the cloak's wearer appear invisible when light reflects off the cloak. With the help of transformational optics, this invisible cloak operates by bending the light wave paths around the object to be concealed.
TRANSFORMASI FOURIER, LANGSUNG, RIETVELD: PENENTUAN STRUKTUR KRISTAL OPTIMAL SEBAGAI MATERIAL PERTAHANAN: Fourier Transform, Direct, Rietveld: Determination Of Optimal Crystal Structure As Defense Material Sianipar, Alexcandro; Talalu, Lidya Ananda; Aritonang, Sovian
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.139

Abstract

Determining the optimal crystal structure is essential in the development of defense materials, as its crystal structure influences the physical and mechanical properties of a material. This study employs a mathematical approach to analyze crystal structures through three primary methods: Fourier Transformation, Direct Methods, and the Rietveld method. Fourier Transformation enables the analysis of diffraction data generated by the interaction of X-rays with atoms in a crystal, converting it into electron distribution to identify atomic positions. The Direct Method utilizes probabilistic phase relationships to accurately estimate atomic positions, even when diffraction data is incomplete. The Rietveld method, based on optimization, refines the crystal structure model by comparing experimental diffraction data with simulated results, minimizing differences between them. The analysis results show that the combination of these three methods effectively determines the optimal crystal structure. The implementation of these techniques is expected to support the selection of superior materials for defense applications
Analisis Perbandingan Metode Distribusi Binomial Negatif dan Poisson. Studi Kasus: Faktor-Faktor Terjadinya Perceraian di Indonesia Tahun 2023 Talalu, Lidya Ananda; Kusuma, Bagus
CENDEKIA : Jurnal Penelitian dan Pengkajian Ilmiah Vol. 2 No. 1 (2025): CENDEKIA : Jurnal Penelitian Dan Pengkajian Ilmiah, Januari 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/4ycf2324

Abstract

Semakin banyaknnya kasus perceraian di Indonesia diduga bisa mempengaruhi sistem ketatanan negara, diantaranya dapat dipengaruhi oleh Indeks Pembangunan Manusia, Produk Domestik Regional Bruto (PDRB), dan kualitas pendidikan. Distribusi binomial negatif dan distribusi poisson digunakan untuk menganalisis data jumlah perceraian di Indonesia menggunakan pendekatan Integrated Nested Laplace Approximation (INLA). Metrik Widely Applicable Information Criterion (WAIC) bertujuan untuk memilih distribusi mana yang cocok digunakan pada data tersebut. Hasil penelitian merekomendasikan penggunaan distribusi binomial negatif dengan pendekatan INLA untuk analisis lebih lanjut dalam memodelkan kasus perceraian di Indonesia.
PEMBENTUKAN PORTOFOLIO OPTIMAL SAHAM IDXENERGY DENGAN PARTICLE SWARM OPTIMIZATION DAN GENETIC ALGORITHM Talalu, Lidya Ananda; Azizah, Syasya Qonita
Jurnal Edueco Vol. 9 No. 01 (2026): Juni
Publisher : Prodi Pendidikan Ekonomi Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/edueco.v9i01.531

Abstract

This study aims to compare the performance of an optimized portfolio of energy sector stocks included in the IDXENERGY index under market volatility conditions resulting from the conflict in Iran. The methods used include Partitioning Around Medoids (PAM) for stock clustering, as well as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) for determining the optimal portfolio weights. The data used consists of the daily stock prices of energy sector companies listed on the Indonesia Stock Exchange during the observation period. Portfolio performance is evaluated using return, risk, and Sharpe ratio metrics. The results of the study show that PSO is capable of delivering better performance, with a Sharpe Ratio of 3.5634, even though GA yields a higher return. These findings indicate that PSO generates portfolios with a more controlled risk-return ratio under volatile market conditions caused by geopolitical uncertainty.