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PEMODELAN SEMIVARIOGRAM DAN PREDIKSI KELEMBABAN TANAH MENGGUNAKAN METODE KRIGING DI KABUPATEN BUTON TENGAH Salim Salim; Halidin Halidin; Arbain Arbain; Ansar Ansar
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 19, No 1 (2025)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v19i1.14172

Abstract

Soil moisture is an important element for the agricultural or plantation hydrological cycle. Soil moisture has different variations for each location or observation area. This variation can show a certain pattern or spatial dependence between observations. The tool for measuring this spatial dependence is a semivariogram. The semivariogram is needed to build a model that can interpolate or predict variables at locations around unknown observations. The method of interpolating or predicting variables at this location is called the kriging method. Several kriging methods that are often used based on the average assumption are: Simple Kriging, Ordinary Kriging and Universal Kriging. Simple Kriging assumes that the mean is constant and known, Ordinary Kriging assumes that the mean is constant and unknown, while Universal Kriging assumes that the mean is not constant and changes according to location. In this case, semivariogram modeling and the kriging method will be applied to predict soil moisture in Central Buton Regency. that is the Exponential Semivariogram model good enough to describe the spatial configuration of potential earthquake strength in the Banda Sea using the Ordinary Kriging method. The research results show that matching the semivariogram model for the three models, including the Spherical, Exponential and Gaussian models, shows different accuracy in describing spatial patterns of soil moisture in Central Buton Regency. The three models have the same sill of 0.6783, indicating the maximum level of variation between observation locations is reached after a certain distance.
Optimalisasi Pengendalian Aktiva Tetap untuk Meningkatkan Efektivitas Manajemen Aset Menggunakan Metode Straight Line dan Fuzzy ELECTRE Sunyanti sunyanti; Nasarudin Nasarudin; Salim Salim; Sarimuddin Sarimuddin; Yanti Yanti; Komeyni Rusba
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to optimize fixed asset control to improve the effectiveness of asset management using the Straight Line and Fuzzy ELECTRE methods. The Straight Line method is applied to calculate fixed asset depreciation constantly and in real time, making it very easy to predict and budget depreciation costs. Meanwhile, the Fuzzy ELECTRE method is used to evaluate several asset management alternatives based on criteria such as asset age, residual value, and level of asset damage. Through this analysis, the ranking of alternatives is determined by comparing the concordance and discordance values between alternatives. The results of the study indicate that the combination of these two methods is effective in improving fixed asset management. The Straight Line method provides stability in depreciation calculations, while Fuzzy ELECTRE helps in more comprehensive and optimal decision making. In conclusion, the application of these two methods can improve the effectiveness of asset management in the UPT USN Kolaka Campus B section, making it very possible to make better decisions in terms of maintenance and replacement of fixed assets, thus contributing to long-term efficiency.