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All Journal Jurnal Cakrawala Ilmiah Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Cristine Natalia
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Public Health Social Sciences Other

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Penerapan Metode Analisa Timbangan Data dan Deret In Dalam Memprediksi Harga Saham Menggunakan Moving Average Convergence Divergence (MACD) Jesslyn Fabrianne; Cristine Natalia; Stephanus Ivan Goenawan
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

Kesadaran masyarakat mengenai saham semakinmeningkat setiap tahunnya. Hal ini perlu diimbagi dengan kemajuanilmu untuk membantu para investor untuk mengambil keputusansecara lebih terukur dan sistematis. Tujuan dari penelitian ini adalahuntuk menerapkan Analisa Timbangan Data (ATD) dan Deret Indalam memprediksi harga saham dengan menggunakan nilai MovingAverage Convergence Divergence (MACD). ATD dan Deret Inmerupakan metode baru untuk mengolah big data dalam memprediksiharga pada waktu tertentu. Populasi dalam penelitian ini adalah hargasaham subsektor telekomunikasi yang dengan sampel harga sahamEXCL (PT XL Axiata Tbk.). Metode pengukuran nilai error yangdigunakan adalah Mean Absolute Percentage Error (MAPE). Hasildari penelitian ini adalah metode ATD dan Deret In mampumemprediksi harga saham subsektor telekomunikasi lebih baikdibandingkan metode yang sudah ada dengan rata-rata error 2,058%dan error terkecil sebesar 0,099%. Sementara, metode yang sudah adamemiliki rata-rata error 11,25 % dan error terkecil sebesar 9,331%.
ANALISIS PENILAIAN TINGKAT KESEHATAN BANK DENGAN MENGGUNAKAN METODE RGEC (Studi Kasus PT. Bank Tabungan Negara Tbk Periode 2018-2022) Cristine Natalia
Jurnal Cakrawala Ilmiah Vol. 3 No. 12: Agustus 2024
Publisher : Bajang Institute

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Bank BTN experienced a fairly high increase in non-performing loans during the Covid-19 pandemic in 2019 because many customers were unable to repay their credit, this triggered researchers to want to know what the health level of Bank BTN was before the pandemic and after the Covid-19 pandemic. The aim of this research is to determine the health level of PT. Bank Tabungan Negara Tbk for the 2018-2022 period using the RGEC method (Risk Profile, Good Corporate Governance, Earnings, Capital). This type of research uses quantitative with a descriptive approach. The population in the research is Bank BTN's financial reports and the sample for this research is the period of analyzing Bank BTN's financial reports, namely for five years (2018-2022) and the sample was obtained using a purposive sampling technique. The research results show that the overall financial performance of PT. Bank Tabungan Negara Tbk during the 2018-2022 period using the RGEC method, namely obtaining an average of 76.67% to 80.00%, the composite rating obtained by Bank BTN is at (PK-2) which can be seen from the four aspects measured in the Risk Profile, GCG, Earnings, and Capital as a whole are in a Healthy rating
Co-Authors Goenawan, Stephanus Ivan Jesslyn Fabrianne