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All Journal Jurnal Sistem Komputer Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics Jurnal Algoritma JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika Maneggio: Jurnal Ilmiah Magister Manajemen Jurnal Sisfokom (Sistem Informasi dan Komputer) Kritis Jurnal Abdi Ilmu Jurnal Informatika dan Sistem Informasi BERNAS: Jurnal Pengabdian Kepada Masyarakat Aiti: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Penelitian Inovatif Jurnal Algoritma Jurnal Sistim Informasi dan Teknologi Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Manusia dan Lingkungan Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) E-Amal: Jurnal Pengabdian Kepada Masyarakat International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Teguh Wahyono
Universitas Kristen Satya Wacana
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Journal : Bulletin of Electrical Engineering and Informatics

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BiLSTM OptiFlow: an enhanced LSTM model for cooperative financial health forecasting Maria, Evi; Wahyono, Teguh; Dwi Hartomo, Kristoko; Purwanto, Purwanto; Arthur, Christian
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8653

Abstract

This paper presents bidirectional long short-term memory (BiLSTM) OptiFlow, an optimized deep learning model designed to predict the financial health of cooperatives using key financial ratios: debt to equity ratio (DER), net profit margin (NPM), and return on equity (ROE). By leveraging a BiLSTM architecture combined with an optimal decayed learning rate, this model aims to enhance forecasting accuracy. The proposed model was tested against three established methods—recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU)—and evaluated using mean absolute error (MAE), mean absolute percentage error (MAPE), and mean squared error (MSE) metrics. Results indicate that BiLSTM OptiFlow outperforms the other models across all key indicators. This research offers a robust approach to cooperative financial forecasting, with significant implications for decision-making processes in cooperative management.
Co-Authors Adriyanto Juliastomo Gundo Agus Sugiarto Agus Sugiarto Anthony Y.M. Tumimomor Aprina Nugrahesthy Sulistya Hapsari Ariya Dwika Cahyono Arthur, Christian Augustinus Ignatius Kristijanto Budhi Kristianto C. Leuwol, Sylvie Cahyo Dimas K Caroline, Marry Chandra Halim David Bambang Tri Wijaya Eka Putri, Jessica Eko Sediyono Elsie Naresvari Endang Haryani Erwien Christianto Evi Maria Febriand Gysberth Pariela Zamsari Firdaus Yuni Dharta Giner Maslebu Hanif Irfanto Adinugroho Hartati Soetjipto Hary Jocom Hermanto Abraham, Rendy Hindriyanto Dwi Purnomo Indrastanti Ratna Widiasari Intiyas Utami Irwan Sembiring Johan Jimmy Carter Tambotoh Kamal, Angelina Gabriella Karema Sarajar, Dewita Kristoko Dwi Hartomo M. Chaerul Rizky Melissa Modok Merryana Lestari Mirdhatillah, Mirdhatillah Nahusona, Ferry Nestiara Lidya Kakihary nuranto, bogo Nurul Jannah Pattisina, Mario Patrick Kalikit Picauly, Irma Amy Prameswari, Fla Desya Pratyaksa Ocsa Nugraha Saian Purwanto - Purwanto Purwanto Purwanto Rissal Effendi Rizaldi, Alexander Rosana, Yuliana Sampoerno Santoso, Fajar Wahyu Saputra, Ahmad Bayu Agung Sebayang, Saimara A. M. Septovan Dwi Suputra Saian Setiawati, Munazilla Setyawan, Martin Sharon Susilya Tahapary Sri Winarso Martyas Edi Subanar, Subanar Suharyadi Suprihati Suprihati Suprihati Tad Gonsalves Theo Pradikta Theodora, Marry Violin, Vivid Walangara Nau, Novriest Umbu Widyaningtyas, Santika Wirabuana Putra, Gede Wisnu Wibisono, Indra Wiwin Sulistyo Yuli Agung Suprabowo, Gunawan Yuliawati