Results 141 to 150 of about 268 (151)

HPV-DNA testing for cervical cancer precursors: from evidence to clinical practice. [PDF]

Ecancermedicalscience, 2012
Origoni M, Cristoforoni P, Costa S, Mariani L, Scirpa P, Lorincz A, Sideri M.   +6 more
europepmc   +1 more source

Integrating Sexual and Reproductive Health Equity Into Public Health Goals and Metrics: Comparative Analysis of Healthy People 2030's Approach and a Person-Centered Approach to Contraceptive Access Using Population-Based Data.

JMIR Public Health Surveill
Gomez AM, Reed RD, Bennett AH, Kavanaugh M.   +3 more
europepmc   +1 more source

Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials. [PDF]

Diabetologia
Mellor J, Kuznetsov D, Heller S, Gall MA, Rosilio M, Amiel SA, Ibberson M, McGurnaghan S, Blackbourn L, Berthon W, Salem A, Qu Y, McCrimmon RJ, de Galan BE, Pedersen-Bjergaard U, Leaviss J, McKeigue PM, Colhoun HM.   +17 more
europepmc   +1 more source

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Analisis Variabel Makro yang Mempengaruhi IHSG

Maisyatuna, 2023
Investors always expect profit in investing their capital in the Capital Market, especially on the Indonesian Stock Exchange (IDX). The purpose of this study was to analyze the effect of macro variables on the Jakarta Composite Index (IHSG) for the period 2010 to 2021.
Ahmad Syukri, Heri Sasono
openaire   +1 more source

Optimisasi Backpropagation Neural Network dalam Memprediksi IHSG

Jurnal Ilmiah Informatika Global, 2022
Covid-19 has become a global epidemic and has spread to many countries in the world, including Indonesia. The COVID-19 pandemic is one source of uncertainty that causes financial data to fluctuate and cause data to be volatile. This outbreak had an impact on financial data, not only on the Rupiah exchange rate but also on the Jakarta Composite Index ...
Hartati, Hartati, Saputra, Alpin Herman, Saluza, Imelda   +2 more
openaire   +2 more sources

Nonlinear Modeling of IHSG with Artificial Intelligence

2018 International Conference on Applied Information Technology and Innovation (ICAITI), 2018
Artificial Intelligence is the simulation of human intelligence processes by computer systems which can be used to model stock prices. Learning algorithms of artificial neural network used to train the network so far the weight of connection inter units can be suitable with error which have determined.
Mutia Yollanda, Dodi Devianto, Hazmira Yozza   +2 more
openaire   +1 more source

Pengaruh Covid-19 dan IHSG Terhadap Kurs Rupiah/USD

Jurnal Ilmiah Poli Bisnis, 2020
This study aims to determine the effect of Covid 19 and IHSG on the Rupiah / USD exchange rate during the COVID-19 pandemic. The data used in this study are daily data on confirmed cases of Covid 19, daily data on the IHSG and Rupiah / USD exchange rate from March 2 to April 30 2020.
openaire   +1 more source

Analisis Kointegrasi IHSG dengan Indeks Bursa Saham di ASEAN

Cakrawala Repositori IMWI
Penelitian ini bertujuan untuk menganalisis kointegrasi IHSG dengan bursa saham di negara-negara ASEAN yang dikaitkan dengan pandemi Covid-19. Penelitian ini menggunakan Vector Error Correction Model (VECM) dalam menganalisis integrasi pada 8 bursa saham di negara-negara ASEAN.
Frido Saritua Simatupang, Doni Dirgantara, Budi Supriatono Purnomo, Imas Purnamasari   +3 more
openaire   +1 more source

IMPLEMENTASI SUPPORT VECTOR MACHINE PADA PREDIKSI HARGA SAHAM GABUNGAN (IHSG)

Jurnal Ilmiah Teknologi dan Rekayasa, 2020
Saham adalah instrumen pasar keuangan yang banyak dipilih oleh investor sebagai alternatif sumber keuangan, akan tetapi saham yang diperjual belikan di pasar keuangan sering mengalami fluktuasi harga (naik dan turun) yang tinggi. Para investor berpeluang tidak hanya mendapat keuntungan, tetapi juga dapat mengalami kerugian di masa mendatang. Salah satu
openaire   +1 more source

Penerapan Metode Hybrid Fuzzy Time Series pada Data IHSG

Bandung Conference Series: Statistics
Abstract. Forecasting the Indonesia Composite Stock Price Index (IHSG) plays a crucial role in investment decision-making; however, the volatility and uncertainty of the data make the process complex. This study aims to apply a hybrid Fuzzy Time Series (FTS) method combined with Fuzzy C-Means (FCM) and Markov Chain algorithms to accurately model and ...
null Rizky Fauzi, null Teti Sofia Yanti
openaire   +1 more source