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All Journal Jurnal Ilmu Komputer dan Informasi Techno.Com: Jurnal Teknologi Informasi TEKNOLOGI: Jurnal Ilmiah Sistem Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Litbang Edusaintech Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat) Kohesi: Jurnal Sains dan Teknologi
Novanto Yudistira
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : journal of information technology and computer science

 1 
Gold Prices Prediction using Univariate Long Short Term Memory Method Aditama, Gustian; Yudistira, Novanto; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 10 No. 2: August 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025102525

Abstract

Gold is one of the precious metals that serves various purposes beyond being a jewelry material. When it comes to gold, it is often associated with the economy. Before the existence of currency, humans used gold as the base material for coins as a medium of exchange. Currently, one of the commonly utilized functions of gold is as an investment asset. Due to its utility and high demand, the price of gold can fluctuate over time. This research aims to predict the price of gold using the Long Short Term Memory (LSTM) method. LSTM is a deep learning technique that performs well when applied to time series data. The performance of LSTM can be assessed using metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE). Thus, this study proposes the prediction of gold prices using LSTM with an optimized architecture. In order to achieve it, testing is conducted based on sequence length and hidden size. The best results were achieved using Univariate LSTM with a sequence length of 25 and a hidden size of 150, that produce RMSE of 22.014 and MAPE of 1.133%.
Leveraging Stacked Vessel Segment and Channels of Fundus Image for Eye Disease Detection using Hybrid U-Net-Residual Convolutional Candra Dewi; Novanto Yudistira; Daffa Izzuddin; Nazura Wirayuda Tama; Fatyanosa, Tirana Noor
Journal of Information Technology and Computer Science Vol. 10 No. 2: August 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025102928

Abstract

Fundus images can be used to identify symptoms of various eye diseases. However, a limitation of using fundus images for classification is the generalization of information from the entire image, which can reduce recognition accuracy. To address this, this study proposes a combination of RGB channels from fundus images and segmented images for the identification process. Segmentation is performed using U-Net, which produces a segmentation of the blood vessels from the retinal image. The combined image is then used as input for the identification process with different ResNet models, including ResNet18, ResNet34, ResNet50, ResNet101, and ResNet152. Three model tuning scenarios are explored to obtain an optimal hybrid segmentation and classification model: learning using ResNet without U-Net (nounet), learning using a ResNet model with a frozen U-Net model (frozenunet), and learning using both the U-Net and ResNet models (hotunet). Testing is carried out to recognize normal, cataract, and glaucoma classes. The results show that the highest accuracy of 0.82 is achieved with the hybrid U-Net and ResNet152 model using frozenunet learning. This indicates that the addition of segmented images can improve identification results, with the best performance for glaucoma having a precision of 0.90, recall of 0.86, and F1-score of 0.88.
Co-Authors Abdurrachman Bachtiar, Fitra Abel Filemon Haganta Kaban Achmad Basuki Achmad Ridok Adam Hendra Brata Adhi Setiawan Aditama, Gustian Agi Putra Kharisma Agus Wahyu Widodo Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu AGUS WIDODO Akbar, Alvin Tarisa Al Huda, Fais Aldi Fianda Putra Alfen Hasiholan Ali, Mustafa Almasyhur, Muhammad Bin Djafar Alwan, Muhammad Fajrul Ambary, Ahmad Amin, Muhammad Basil Musyaffa Anarya Indika Putra Andina, Sherla Puspa Andy Soebroto, Arief Anggraheni, Hanna Shafira Annisa Sukmawati Aprianto, Anda Bagas Apriyanti -, Apriyanti Ardana, Arvan Yudhistia Ardhani, Luthfi Afrizal Ardhanto, Riyadh Ilham Arianto, Dawud Rizky Arifandis Winata Arifien, Zainal Asmani, Wahayu Widyaning Austin, Yehezkiel Stephanus Aziz Musthofa Bagidya, Moga Taufiq Bahrur Rizki Putra Surya Bana Falakhi Bayu Rahayudi Budi Darma Setiawan Caesar Rio Anggina Toruan Cahyo Prayogo, Cahyo Candra Dewi Candra Dewi Cevita Detri Intan Suryaningrum Chandra, Lucas Chindy Aulia Sari Christopher, Juan Young Daffa Izzuddin Darmawan, Abizard Hashfi Darmawan, Hanif Daud, Nathan Daut Daman Dewa Gede Trika Meranggi Dhaifullah, Afif Naufal Dhifan Diandra H Didik Suprayogo Dytha Suryani Dzikron, Ahmad Ahdani Edy Santoso Edy Santoso Elmira Faustina Achmal Eriq Muhammad Adams Jonemaro Fadhil Yusuf Rahadika Fadhil Yusuf Rahadika Fadhil Yusuf Rahadika Fadhillah, Muhammad Dzaka Aufa Fahmi Achmad Fauzi Fajrina, Julia Nur Fathina Atsila F Fauzi, Muhammad Rifqi Firhan Fauzan Hamdani Firman Maulana, Firman Fitra Abdurrachman Bachtiar Galih Wicaksana Putra, Achmad Griselda Anjeli Sirait Griselda Anjeli Sirait Hafshah Durrotun Nasihah Hakim, Gibran Hakim, Sulthan Abiyyu Hanum, Assyfa Rasida Haris, Asmuni Harlan, Fajri Rayrahman Hawari, Rahmada Zulvia Azzahra Hermanto, Putri Tsania Maulidia Heru Nurwarsito Huda, Fais Al Hutamaputra, William Ikhwanul Kiram, Muh Zaqi Imam Cholissodin Indriati Indriati Iqra Ilhamsyah Irfan Ardiansyah Irfannanto, Adimas Irfano, Haikal Irwanto, M. Sofyan Izzatul Azizah Jauhar Bariq Rachmadi Javier Ardra Figo Julian Syaputra, Rangga Kaluge, Hendrika Rosa Vincensia Karina Amadea Katrina Puspita Kevin Nadio Dwi Putra Khalid Rahman Khoirullah, Habib Bahari Krisnabayu, Rifky Yunus Kuncoro, Jovan Prabowo Kurnia Fakhrul Izza Kurnianingtyas, Diva Lailil Muflikhah Laksono, Khansa Salsabila Sangdiva Larasati, Saqina Salsabila Lutfi, Raniyah Mahardika, Mohammad Alfiano Rizky Manurung, Daniel Geoffrey Marasitua, Wahyu Valentino Marji Marpaung, Veronika Oktafia Maulana Ahmad Maliki Maulana, Muhammad Rizqon Maulana, Muhammad Taufik Mawarni, Marrisaeka Meilinda Dwi Puspaningrum Michael David Mufidah, Haniefa Azhari Fathni Muh. Arif Rahman Muhammad Rizaldi Muhammad Rizaldi Muhammad Tanzil Furqon Muhammad Zaini Rahman Natanniel Eka Christyanto Naufal, Muhammad Jilan Nazura Wirayuda Tama Niluh Putu Vania Dyah Saraswati Nisa, Lisa N. Nisa, Septia Khoirin Novianti, Siska Nurannisa, Nadhira Nurmala Sari, Irawati Oakley, Simon Pangondian, Yosia Permadhi, Raditya Atmaja Satria Pinasthika, Mohammad Ryan Prais Sarah Kayaningtias Prasetia, Anugrah Prayata, Rakan Fadhil Putra Pandu Adikara Putra, Octo Perdana Putri, Belgis Berliana Putri, Rania Aprilia Dwi Setya Putri, Salwa Cahyani Qurrata Ayuni Rahmadi, Anang Bagus Rahman, Muhammad Arif Rahmansyah, Farhan Raihan Hanif F RAMADHAN, ADITYA RIZKY Randy Cahya Wihandika Renata Rizki Rafi' Athallah Rian Nugroho Rilinka Rilinka Rishani Putri Aprilli Rizal Setya Perdana Rizky, Audhinata Bebytama RR. Ella Evrita Hestiandari Sabriansyah Rizqika Akbar, Sabriansyah Sahirah, Rafifa Addin Saputra, Kylix Eza Sari, Irawati Nurmala Sastomo, Yogi Puji Selle, Nurfatima Setyawan Purnomo Sakti Sholeh, Mahrus Silalahi, Gratia Yudika Morado Stephen Lui, Michael Sugihdharma, Joseph Ananda Sukma, Lintang Cahyaning Sulthon Akhdan G Suprapto Suprapto SURBAKTI, PRAMA Sutrisna, Naufal Putra Syafiq, Roid Muhammad Syafira, Putri Amanda Tampubolon, Agustinus Parasian Thiodorus, Gustavo Tibyani Timothy Bastian Sianturi Tirana Noor Fatyanosa, Tirana Noor Usfita Kiftiyani Vasya, Muhammad Azka Obila Wa Ode May Zhara Averina Wahyu Taufiqurrahman, Rayhan Waludi, Ikbal Wayan Firdaus Mahmudy Wulandari, Rafifah Ayud Yuita Arum Sari Yuita Arum Sari Zamzami, Fayadh Rizqi Zetha, Ivykaeyla Adriana