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All Journal Jurnal Ilmiah MITSU (Media Informasi Teknik Sipil Universitas Wiraraja) Jurnal Teknologi Informasi dan Ilmu Komputer Geo-Image Journal SUSTINERE: Journal of Environment and Sustainability Martabe : Jurnal Pengabdian Kepada Masyarakat Journal of RESIDU Buletin Ilmiah Marina : Sosial Ekonomi Kelautan dan Perikanan Jurnal Papatung : Jurnal Ilmu Administrasi Publik, Pemerintahan dan Politik Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Ekologi, Masyarakat dan Sains Tamaddun : Jurnal Pendidikan dan Pemikiran Keagamaan Jurnal Teknik Informatika (JUTIF) BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi GOVERNANCE: Jurnal Ilmiah Kajian Politik Lokal dan Pembangunan Prosiding Snastikom Journal of Environmental and Science Education Jurnal Teknologi Lingkungan Lahan Basah Uniplan: Journal of Urban and Regional Planning Jurnal Pemberdayaan Masyarakat Gunung Djati Conference Series JUTIS Konsentrasi: Jurnal Manajemen dan Bisnis Lingkar : Journal of Environmental Engineering Indonesian Proceedings and Annual Conference of Islamic Education (IPACIE) Proceeding Seminar Nasional IPA Jurnal Literasi Pengabdian dan Pemberdayaan Masyarakat Unnes Science Education Journal Jurnal Pendidikan IPA Indonesia Advance Sustainable Science, Engineering and Technology (ASSET)
Abdul Jabbar
National University of Sciences and Technology College of Electrical and Mechanical Engineering
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Journal : Jurnal Teknik Informatika (JUTIF)

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Optimization Artificial Neural Network (ANN) Models with Adam Optimizer to Improve Customer Satisfaction Business Banking Prediction Ifriza, Yahya Nur; Mandaya, Yusuf Wisnu; Sanusi, Ratna Nur Mustika; Febriyanto, Hendra; Jabbar, Abdul; Kamaruddin, Azlina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4776

Abstract

Customer satisfaction prediction is critical for business banking to retain clients and optimize services, yet existing models struggle with imbalanced data and suboptimal convergence. Traditional approaches lack adaptive learning mechanisms, limiting accuracy in real-world applications. This study developed an optimized Artificial Neural Network (ANN) model using the Adam algorithm to improve prediction accuracy for banking customer satisfaction. We trained an ANN on the Santander Customer Satisfaction Dataset (76,019 entries, 371 features) with Adam optimization. Preprocessing included normalization, removal of quasi-constant features, and an 80-20 train-test split. Adam’s adaptive learning rates and momentum were leveraged to address gradient instability. The model achieved 95.82% accuracy, 99.99% precision, 95.83% recall, a 97.87% F1-score, and 0.82 AUC, outperforming traditional optimizers like SGD. Training loss reduced by 30% with faster convergence. This work demonstrates Adam’s efficacy in handling imbalanced banking data, providing a scalable framework for customer analytics. The results advance computer science applications in fintech by integrating adaptive optimization with deep learning for high-stakes decision-making. This research contributes to the growing body of knowledge in machine learning applications for business analytics and provides a valuable framework for improving customer satisfaction prediction models in various industries and the advancement of deep learning applications in business intelligence, particularly in banking service quality prediction.
Co-Authors Abdul Rauf Chaerudin Addini, Jihan Timur Aini, Maqfiroh Intan Nurul Akmal, Muhamad Roihan Alamsyah, Muhammad Radian Nur Alfathqi, Rheza Rizky AlGhufron, Mohamad Nizar Andin Irsadi Andin Vita Amalia, Andin Vita Anshari, Gusti Zakaria Ariningrum, Novita Dwi Aryo Pinandito Atunnisa, Rifa' Atunnisa, Rifa’ Awati, Desiana Fitri Az-Zahra, Salma Fatimah Az-Zahra, Sheeny Bakri, Sitty Nur Syafa Bayinah, Isnainatul Chasanah, Aisya Nurul Chiuloto, Kalvin Deanova, Dendhie DWI RAHMAWATI Eldin Khair, Amar Sharaf Erna Noor Savitri, Erna Noor Ershanti, Agnes Dewi Wuri Evi Gusmayanti Fadil Syamsa, Muhammad Fauziyyah, Istiqomah Ifnan Febriyanto, Hendra Fitri, Revieta Noor Gunawan, Mahendra Habil Sultan Hamdani, Adib Afriza Hamzaturrazak, Multohadi Haris, Amnan Hartanto, Naufal Hartanto, Toni Hasnaningtiyas, Siti Heriyanti, Andhina Putri Herol, Herol Hidayah, Harun Syamsudin Nur Holeng, Vera Angelina Ika Sukmawati, Ika Iskandar, Aldy Jamaludin . Jati, Elisabeth Gita Damar Julpa, Ira Sopiana Kamaruddin, Azlina Kholil, Putri Alifa Kuswati, Fitri Yunda Ladamay, Ode Moh Man Arfa Latif, Mukhlis Abdul Listiaji, Prasetyo Lorensa, Dina Lukman M. Lolo, Nadyah Harnol Ma’ruf, Syamsul Azhar Qowwam Maharani, Saffira Alyda Marchelina, Shally Maryono, Iyon Mauliya, Durrotul Jahroo Melati, Inaya Sari Muhanniah, Muhanniah Mustikawati, Lenny Helmalia Mutiatari, Dhita Pracisca Nana Kariada Trimartuti Nanto Sriyanto, Nanto Naufal, Muhammad Ahganiya Nikmat Syarifuddin, Rifni Ni’matuzzahroh, Ni’matuzzahroh Norma Eralita Nur Atikah Parmin Prahmani, Yonika Sindiana Pratiwi, Andini Sukma Purwadi, Cintiya Egi Putri, Ade Anggun Wana Putri, Isria Miharti Maherni Putri, Rahmatia Prihantiny Putri, Rizda Amalia Rabbani, Raka Restu Rahayu, Endah Fitriani Rahmalidya, Alfia Rahmawati, Laila Zulaiha Amalia Ramadhan , Muh.Rohady Ramdan, Muhammad Ridho Fariz, Trida Rifa'atunnisa, Rifa'atunnisa Rizki Nor Amelia Rizkiyah, Nanda Puji Rizqi, Vira Dwi Martia Atta Rizqiyani, Rifa Sajida, Hanifa Putri Salma, Mila Rangga Lailatus Sanusi, Ratna Nur Mustika Sarwono, Muhammad Reza Daffauzan Setya Perdana, Rizal Shabrina, Dhiyanita Siregar, Zepanya Gladis Tabita Siswahyudianto Siti Herlina Dewi Siti Sawerah Sri Ngabekti Stephani Diah Pamelasari, Stephani Diah Sultan, Habil Sumarno Tiaraningrum, Fathia Hanif Trida Ridho Fariz Trihadianta, Mohammad Rifki Utama, Raditya Arinanda Wahid Akhsin Budi Nur Sidiq, Wahid Akhsin Budi Nur Wandari, Mellyana Putri Ayu Wijanaputri, Kania Okta Yahya Nur Ifriza Yolanda, Vera Cerelia Yusuf Wisnu Mandaya Zulfani, Sevianna Danah