[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118303-id":3,"doc-seo-118303-113":31,"detail-sidebar-cat-0-id-113":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},118303,5909887256941,"Levi","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",54,"Penelitian & Laporan","Prospek Saham pada Sektor Perbankan - Berdasarkan Analisis Fundamental dan Machine Learning","Penelitian ini bertujuan menganalisis prospek saham pada sektor perbankan di Indonesia melalui analisis fundamental dan machine learning. Analisis fundamental dilakukan dengan mengevaluasi rasio keuangan serta kinerja perusahaan, sementara model machine learning memakai LSTM (Long Short-Term Memory) untuk memprediksi pergerakan harga saham. Data bersumber dari empat bank besar yang tercatat di Bursa Efek Indonesia, yaitu BCA, BRI, BMRI, dan BNI. Hasil menunjukkan analisis fundamental memberi wawasan kondisi keuangan dan prospek, sedangkan LSTM memiliki akurasi tinggi. Kombinasi keduanya meningkatkan akurasi prediksi dan mendukung keputusan investasi yang lebih baik.","Bulletin of Economic Studies (BEST)  \nVolume 4, Nomor 2 ,(2024) . pp. 130-138 [https://doi.org/10.24252/best.v4i2.50124](https://doi.org/10.24252/best.v4i2.50124)  \n\n| PROSPEK SAHAM PADA SEKTOR PERBANKAN BERDASARKAN ANALISIS FUNDAMENTAL DAN MACHINE LEARNING\u003Cbr>Prospects of Banking Sector Stocks Based on Fundamental Analysis and\u003Cbr>Machine Learning\u003Cbr>Angraeni A . Kitta 1 *, Syamsu Alam2, Muh. Jamil3\u003Cbr>1*,2,3 Universitas Negeri Makassar\u003Cbr>*e-mail: [angraenikitta14@gmail.com](angraenikitta14@gmail.com)\u003Cbr>Article History: Received: july 19, 2024; Revised: september 07, 2024; Accepted: september 14, 2024 |\n| --- |\n| ABSTRAK\u003Cbr>Penelitian ini bertujuan untuk menganalisis prospek saham pada sektor perbankan di Indonesia dengan menggunakan analisis fundamental dan machine learning. Analisis fundamental melibatkan evaluasi rasio keuangan dan kinerja perusahaan, sementara pendekatan machine learning menggunakan metode LSTM (Long Short-Term Memory) untuk memprediksi harga saham. Data yang digunakan dalam penelitian ini adalah data saham dari empat bank besar di Indonesia, yaitu Bank Central Asia (BCA), Bank Rakyat Indonesia (BRI), Bank Mandiri (BMRI), dan Bank Negara Indonesia (BNI), yang tercatat di Bursa Efek Indonesia. Hasil penelitian menunjukkan bahwa analisis fundamental dapat memberikan wawasan mendalam mengenai kondisi keuangan dan prospek sahamperbankan kedepannya. Di sisi lain, model machine learning LSTM menunjukkan akurasi tinggi dalam memprediksi pergerakan harga saham. Kombinasi kedua metode ini memberikan pandangan yang komprehensif bagi investor dalam membuat keputusan investasi yang lebih baik di sektor perbankan. Penelitian ini menyimpulkan bahwa penggunaan analisis fundamental dan machine learning secara bersamaan dapat meningkatkan akurasi prediksi dan memberikan keuntungan kompetitif bagi investor dipasar saham perbankan Indonesia.\u003Cbr>Kata kunci: Prospek saham, analisis fundamental, machine learning, LSTM, sektor perbankan |\n| ABSTRACT\u003Cbr>This study aims to analyze the prospects of banking sector stocks in Indonesia using fundamental analysis and machine learning. Fundamental analysis involves evaluating financial ratios and company performance, while the machine learning approach uses the LSTM (Long Short-Term Memory) method to predict future stock prices. The data used in this study consists of stock data from four major banks in Indonesia, namely Bank Central Asia (BCA), Bank Rakyat Indonesia (BRI), Bank Mandiri (BMRI), and Bank Negara Indonesia (BNI), listed on the Indonesia Stock Exchange. The results of the study show that fundamental analysis can provide deep insights into the financial condition and future prospects of banking stocks. On the other hand, the LSTM machine learning model demonstrates high accuracy in predicting stock price movements. The combination of these two methods provides a comprehensive view for investors in making better investment decisions in the banking sector. This study concludes that the combined use of fundamental analysis and machine learning can enhance prediction accuracy and provide a competitive advantage for investors in the Indonesian banking stock market. |\n\n Copyright©2024  \nKeywords: stock prospects, fundamental analysis, machine learning, LSTM, banking sector  \nPENDAHULUAN  \nMeningkatnya kebutuhan hidup mendorong banyak orang untuk mempertimbangkan investasi sebagai cara untuk meningkatkan kesejahteraan dimasa depan. Salah satu instrumen investasi yang populer adalah saham, yang menawarkan potensi keuntungan tinggi namun juga risiko yang signifikan (Metode and Gunadarma 2023) . Saham mewakili kepemilikan dalam suatu perusahaan dan dapat diperdagangkan di bursa saham baik pada pasar primer maupun sekunder. Perkembangan teknologi informasi telah mempermudahakses informasi dan meningkatkan minat masyarakat terhadap investasi (Anggraeni, 2020) . Menurut Bursa Efek Indonesia (2024), saham adalah buktikepemilikan seseorang atau badan usaha dalam suatu perusahaan yang dap","cbCaicqL8IcNRuOj","https://ap.wps.com/l/cbCaicqL8IcNRuOj","pdf",430366,7,1,9,"Indonesian","id",113,"# Pendahuluan\n## Investasi dan instrumen saham\n## Peran analisis fundamental dan machine learning\n## Latar belakang fluktuasi harga saham","[{\"question\":\"Penelitian ini bertujuan untuk apa?\",\"answer\":\"Penelitian bertujuan menganalisis prospek saham pada sektor perbankan di Indonesia menggunakan analisis fundamental dan machine learning.\"},{\"question\":\"Bagaimana metode machine learning yang digunakan untuk prediksi harga saham?\",\"answer\":\"Penelitian menggunakan metode LSTM (Long Short-Term Memory) untuk memprediksi pergerakan harga saham.\"},{\"question\":\"Bank apa saja yang menjadi objek data dalam penelitian ini?\",\"answer\":\"Data saham berasal dari empat bank besar: BCA, BRI, BMRI, dan BNI yang tercatat di Bursa Efek Indonesia.\"}]","Prospek Saham pada Sektor Perbankan - Berdasarkan Analisis Fundamental dan Machine Learning | PDF",1785682926,14,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"prospects-of-banking-sector-stocks-based-on-fundamental-analysis-and-machine-learning","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/id/document/prospects-of-banking-sector-stocks-based-on-fundamental-analysis-and-machine-learning/118303/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-16","2026-08-02",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"Penelitian ini bertujuan untuk apa?","Question",{"text":77,"@type":78},"Penelitian bertujuan menganalisis prospek saham pada sektor perbankan di Indonesia menggunakan analisis fundamental dan machine learning.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Bagaimana metode machine learning yang digunakan untuk prediksi harga saham?",{"text":82,"@type":78},"Penelitian menggunakan metode LSTM (Long Short-Term Memory) untuk memprediksi pergerakan harga saham.",{"name":84,"@type":75,"acceptedAnswer":85},"Bank apa saja yang menjadi objek data dalam penelitian ini?",{"text":86,"@type":78},"Data saham berasal dari empat bank besar: BCA, BRI, BMRI, dan BNI yang tercatat di Bursa Efek Indonesia.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,100,104,108,112,116,118,122,126,130,134],{"id":96,"doc_module":4,"doc_module_name":47,"category_name":97,"show_sort_weight":98,"slug":99},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":101,"doc_module":4,"doc_module_name":47,"category_name":102,"show_sort_weight":98,"slug":103},48,"Cerita & Novel","story-novel",{"id":105,"doc_module":4,"doc_module_name":47,"category_name":106,"show_sort_weight":98,"slug":107},56,"Gaya Hidup","lifestyle",{"id":109,"doc_module":4,"doc_module_name":47,"category_name":110,"show_sort_weight":98,"slug":111},51,"Komik","comic",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":98,"slug":115},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":98,"slug":117},"research-report",{"id":119,"doc_module":4,"doc_module_name":47,"category_name":120,"show_sort_weight":98,"slug":121},49,"Sastra","literature",{"id":123,"doc_module":4,"doc_module_name":47,"category_name":124,"show_sort_weight":98,"slug":125},52,"Teknologi","technology",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":128,"show_sort_weight":98,"slug":129},50,"Ujian","exam",{"id":131,"doc_module":4,"doc_module_name":47,"category_name":132,"show_sort_weight":98,"slug":133},57,"Umum","general",{"id":135,"doc_module":4,"doc_module_name":47,"category_name":136,"show_sort_weight":4,"slug":137},181,"Formulir","formulir"]