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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Publikasi Riset Mahasiswa Akuntansi
Martha, Regina
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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Prediksi Hujan Menggunakan Metode Artificial Neural Network, K-Nearest Neighbors, dan Naïve Bayes Martha, Regina; Herwindiati, Dyah Erny
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i4.1650

Abstract

Rain is a natural phenomenon that has a significant impact on human life and ecosystems around the world. The ability to predict the weather, including predicting the next day's rain, has become an important aspect of our daily lives. Accurate rain predictions have broad implications, from planning outdoor activities to natural resource management, as well as controlling natural disasters. This research presents the results of an analysis of whether it will rain or not tomorrow based on 22 features, including location, temperature, wind speed, wind direction, humidity, and also the number of clouds covering the sky. In an effort to improve the accuracy of rain predictions, various methods have been developed, including Artificial Neural Network (ANN), K-Nearest Neighbors (KNN), and Naive Bayes. After training and testing the models from these three methods, an evaluation was carried out using a confusion matrix and classification report to measure prediction performance. The experimental results show that ANN, KNN and Naive Bayes obtain accuracy scores of 85%, 84%, and 79%, respectively. So, it can be concluded that ANN is the best method for predicting tomorrow's rain.
PENGARUH AUDIT TENURE, AUDITOR SWITCHING, DAN UKURAN KAP TERHADAP KECURANGAN LAPORAN KEUANGAN (STUDI EMPIRIS PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2019-2021) Martha, Regina; Wenny, Cherrya Dhia
PUBLIKASI RISETMAHASISWA AKUNTANSI Vol 4 No 1 (2023): Publikasi Riset Mahasiswa Akuntansi
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/prima.v4i1.4663

Abstract

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh antara audit tenure,audit switching, dan ukuran KAP terhadap kecurangan laporan keuangan.Jenis penelitian yang digunakan adalah metode kuantitatif.Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur yang tedaftar di Bursa Efek Indonesia periode 2019-2021 sebanyak 171 perusahaan.Teknik pengambilan sampel pada penelitian ini menggunakan metode purposive sampling sebanyak 65 perusahaan
Co-Authors Cherrya Dhia Wenny Dyah Erny Herwindiati