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Journal : Fidelity : Jurnal Teknik Elektro

Adaptive Neuro-Fuzzy Inference System (ANFIS) Method for Developing a Decision Support System for Determining Landslide Susceptibility Dede Sukmawan; Muchtar Ali Setyo Yudono; Danang Purwanto; Dio Damas Permadi; Anang Suryana; Utamy Sukmayu Saputri; Marina Artiyasa
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.131

Abstract

Landslide catastrophes are one of the disasters that frequently occur in Indonesia owing to the weather and climatic features, regional terrain, and geological formations that make this nation prone to landslides. The primary goal of this research is to compare the application of the fuzzy logic technique and the adaptive neuro-fuzzy inference system (ANFIS) approach to landslide detection sensors based on prior research in order to identify landslide-prone locations more easily. The Adaptive Neuro-Fuzzy Inference System (ANFIS) technique analyzes the landslide area using three factors. Rainfall, land slope, and soil moisture are examples of these factors. This variable is used to assess the area's level of vulnerability to landslides: very safe, relatively safe, relatively potential, potential, and very potential. In the study, each piece of data is subjected to a training and testing procedure to identify landslide vulnerability, with the factors and weighting methods aligned with current government standards. This study compares the rules outcomes to those of past studies as well as the system results. Based on the studies findings, it can be stated that the decision support system for the degree of landslide vulnerability utilizing the ANFIS approach is superior to the fuzzy logic method, with an accuracy rate of 86.21%.
Design of Solar Rooftop Using Helioscope in The Gazebo of Pelabuhan Ratu Coal Power Plant Bayu Indrawan; Aryo De Wibowo Muhammad Sidik; Anggy Pradiftha Junfithrana; Marina Artiyasa; Ilman Himawan Kusumah; Andika Kurniawan
Fidelity : Jurnal Teknik Elektro Vol 5 No 1 (2023): Edisi Januari 2023
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v5i1.137

Abstract

Research on simulating the design of a solar power plant in the village of Wantilan Antosari aims to promote the use of new renewable energy sources. The method of PLTS is completed by paying attention to and accounting for the tilt angle in the Helioscope Software, designing the positioning of solar panel modules, designing inverters, configuring circuits, accounting for the number of batteries used, choosing Battery Control Units, and calculating investment. According to the simulation run by the helioscope program, nine solar modules at an angle of 58.7 can power a battery with a 500Ah capacity. The simulation also establishes an inverter with a 24.06kW inverter that generates 4.0 kWp power.