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Penerapan Fungsi Transfer Multi-Input pada Data Curah Hujan di Maluku Indriati, Sela Putri; Saputro, Dewi Retno Sari; Widyaningsih, Purnami
NUCLEUS Vol 5 No 1 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i1.1551

Abstract

If the intensity of rainfall is too high, this can cause flooding in Maluku. The intensity of rainfall in Maluku is also strongly influenced by sea surface temperature conditions in the waters of the Indian Ocean and Pacific Ocean. In mid-2022 and 2023, floods in Maluku caused residents' houses to be submerged, damaged road access, and broken bridges. In this study, a multi-input transfer function was applied to rainfall data in Maluku. This research data is secondary data. The data used consists of 73 data from August 2017 to August 2023. Transfer function can determine the relationship and influence between input and output in a period of time. Multi-input transfer functions are used to understand how inputs contribute to outputs. Rainfall acts as the output and temperature, air humidity, and wind speed act as the inputs. Based on the results of the study, the inputs affect the output so that the multi-input transfer function formed produces a MAPE value of 16.42%. This value can be concluded if the function is accurate
THE BIBLIOMETRIC NETWORK TO IDENTIFY RESEARCH TRENDS IN MULTI-INPUT TRANSFER FUNCTION Indriati, Sela Putri; Saputro, Dewi Retno`Sari; Widyaningsih, Purnami
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1931-1938

Abstract

Bibliometrics has become one of the most widely used approaches to examining academic publications. Bibliometric analysis helps researchers obtain references from other researchers, strengthening recent research. In a bibliometric analysis, VOSviewer made the analysis process easier. VOSviewer is used to build and visualize bibliometric networks. This study aims to present and visualize an overview of the development of multi-input transfer function research trends and collaboration networks. The research method used is a literature review from Scopus using VOSviewer in 2007-2023. This study shows a growing trend in multi-input transfer function research, with China leading in publications. The development map of the multi-input transfer function is based on nine co-words and ten co-author clusters. The study's results are dominated by applying the model to real data. However, the estimation of multi-input transfer function parameters has yet to be carried out using a numerical approach.