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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Hutan Tropika
Setiarno
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Separated Couples during the COVID-19 Outbreak: A Survival Support Vector Machine Analysis Setiarno Putera, Muhammad Luthfi; Rafik Patrajaya; Setiarno
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 17 No 1 (2025): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v17i1.739

Abstract

Introduction/Main Objectives: The separation between spouses has been rising noticeably in recent years in Palangka Raya, particularly during the COVID-19 outbreak. Background Problems: An analysis of time-to-event on those separations will be undertaken quantitatively using survival analysis by comparing the results yielded by Cox proportional hazards (PH) regression and non-parametric Survival Support Vector Machine (SUR-SVM). Novelty: This work suggests a feature selection method that looks for influencing elements related to the c-index by employing backward elimination. Research Methods: This study's data came from Indonesia's Supreme Court webpage, including a database of separation verdicts from the Palangka Raya Religious Court, spanning from April 2020 to March 2021. The response variables were the time-to-separation (marriage length until separation) (t) and the censored state of the occurrence (?). Finding/Results: Based on SUR-SVM, the factors contributing the most to the separation are the absence of children, unsteady employment of appellants, and finance motive as the primary reason. In terms of concordance index and Akaike Information Criterion (AIC), the SUR-SVM outperformed the Cox proportional hazard model. These values of SUR-SVM were 59.24 and 1899.78, respectively. SUR-SVM correctly classified 59.24% of separations based on the chronological order of events.
Ekostruktur Vegetasi di Sekitar Ramin (Gonystylus bancanus) pada Kawasan Laboratorium Alam Lahan Gambut Universitas Palangka Raya: The Structure of Vegetation Communities Surrounding Ramin (Gonystylus bancanus) Trees in the Natural Laboratory Area of Palangka Raya University Peatland Setiarno; Nababan, Suzet Rotua Tanya; Hidayat, Nisfiatul; Rotinsulu, Johanna Maria; Junaedi, Ajun
HUTAN TROPIKA Vol 19 No 2 (2024): Volume 19 Nomor 2 Tahun 2024
Publisher : Jurusan Kehutanan, Fakultas Pertanian Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/jht.v19i2.16780

Abstract

The purpose of this study is to examine the vegetation's composition and ecostructure surrounding the Ramin tree (Gonystylus bancanus) in the University of Palangka Raya's Natural Laboratory of Peatlands. Vegetation data collection was carried out using the quadrat plot technique, with the plot placement applied through purposive systematic sampling. The Importance Value Index (IVI), species dominance index, diversity index, and evenness index were employed to examine the data from this research graphic using Microsoft Excel. In this study, 47 different plant species from different communities were identified and divided into 38 genera and 27 families (trees, poles, saplings and seedlings). The greatest number of species were found in the groups Myrtaceae and Dipterocarpaceae. There are no dominant species in the area with Nyatoh, Jambu-jambu, and Mangkinang nearly always occupy the five dominant species ranks from seedling to tree level at all peat thickness levels. While the species evenness index in all plant communities and the level of peat thickness are in the high/abundance category of almost evenly (E = 0.76 – 0.95), the majority of species diversity index (Shannon-Wiener value) in the research plots are classified as high (H'>3), indicating that the condition of the forest ecosystem at that location is relatively stable. Keywords: ecostructure, natural laboratory, peatlands, Ramin tree, vegetation
Co-Authors Hidayat, Nisfiatul Johanna Maria Rotinsulu Junaedi, Ajun Nababan, Suzet Rotua Tanya Rafik Patrajaya Setiarno Putera, Muhammad Luthfi