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Journal : International Journal of Informatics and Computing

Custom Concept Text-to-Image Using Stable Diffusion Model in Generative Artificial Intelligence Rahmatulloh, Alam
JICO: International Journal of Informatics and Computing Vol. 1 No. 1 (2025): May 2025
Publisher : IAICO

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Abstract

The ability of algorithms to produce content that closely mimics human work has revolutionized several fields thanks to generative artificial intelligence, or Gen AI. However, these developments also raise questions about generative models' transparency, predictability, and behavior. Considering the relevance of this topic and the expanding influence of AI on society, research into it is imperative. This paper aims to empirically explore the nuances of behavior in the setting of discriminative generative AI, using the stable diffusion model as an example. We will be better equipped to handle obstacles and guarantee the ethical and responsible application of generative AI in a world that is changing quickly if we have a deeper grasp of this phenomenon. The research method is carried out in several stages, such as dataset collection, modeling, testing, and analysis of results. The research results show that generative artificial intelligence can create realistic images like the original. However, there are still several challenges, including the availability of a reasonably large dataset for training data and high and long computing times. Likewise, the results of the Fréchet Inception Distance (FID) test were still quite large, namely 1284.4430, which shows that the quality of this model is still not good.
Improving Emotion Recognition Accuracy with Combination of Bidirectional and Long Short-Term Memory Models Haerani, Erna; Rahmatulloh, Alam; Rizal, Randi
JICO: International Journal of Informatics and Computing Vol. 1 No. 2 (2025): November 2025
Publisher : IAICO

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Abstract

Emotions play a vital role in shaping human behavior and mental health, making accurate emotion recognition essential for mitigating potential negative impacts. This study explores the application of Bidirectional Long Short-Term Memory (Bi-LSTM) for recognizing emotions from text-based data. Bi-LSTM extends the standard LSTM by enabling the model to process input sequences in both forward and backward directions, thereby capturing contextual dependencies more effectively. The research methodology consists of data collection, manual emotion labeling, and pre-processing techniques, including stemming, tokenization, and one-hot encoding. Visualization of the dataset and the distribution of labeled emotions was conducted to gain deeper insights into the data. The Bi-LSTM model was trained for 25 epochs, achieving a training accuracy of 0.9954 and validation accuracy of 0.8790, along with a training loss of 0.0133 and validation loss of 0.658. A confusion matrix was used to further evaluate model performance and classification accuracy across various emotion categories. The experimental results confirm that the Bi-LSTM model is highly effective in recognizing emotions from textual input. Its ability to capture long-term dependencies in both directions contribute to improved learning and prediction. However, opportunities for enhancement remain, particularly in refining the model architecture, expanding the dataset, and exploring additional feature extraction techniques. This research demonstrates the potential of Bi-LSTM in building intelligent emotion-aware systems for applications in mental health monitoring, customer feedback analysis, and human-computer interaction.
Co-Authors Aditya, Hafish Naufal Aemy, Nandhitta Albi Fitransyah Aldy Putra Aldya Alpan Hikmat Muharram Permana Amaludin, Luthfi Andi Nur Rachman Andi Nurachman Anggi Putri Meriani Anggi Putri Meriani Anjar Ginanjar ANWAR, FAHMI Aradea Aradea, A Asep Kurniawan Asep Rizki Maulana Asih, Dwi Ramti Aulia, Karina Awaludin, Rizkie Irfan A’izzah, Virra Retnowati Budi Permana Darmawan, Muhamad Aditya Dewi Rahmawati Dita Pramesti Dodi Muhamad Kodar Dwi Ramti Asih Eka Wahyu Hidayat Eka Wahyu Hidayat El Akbar, R Reza El-Akbar, R Reza Elmeftahi, Souhayla Ernawati, Rita Sri Faisal Al Isfahani Faisal Muhammad Dzikry Faisal, Fikri Ahmad Fatchul Arifin Ficry Cahya Ramdani Firdaus, Muhamad Akbar Firmansah, Teguh Anugrah Firmansyah MSN Firmansyah, Faldi Ramadhan Fuji Nugraha Gagan Akhmad Fauzi Galih Permana Genta Nazwar Tarempa Ginting, Muliani Guna, Nandana Surya Gunawan, Rohmat Gunawan, Rohmat Gunawan, Rohmat Haerani, Erna Hanifah, Faridah Heni Sulastri Heni Sulastri Herlambang, Andriana Herman Dwi Surjono Hidayat, Deri Kurnia Hidayat, Eka Wahyu Hilman Septian husen husen Husen Husen Husen, - Ihsanuddin Ihsan Ikhsan Nur Rizkiana Ilham Yuslin Anugrah Indra Sontana Iqbal Muhammad Fajar Nuralam Irfan Darmawan Ivang Fahmi Fauzi Kodar, Dodi Muhamad Komara Kusumah, R Herick Fauzi Kusumah, R Herick Fauzi Komara Laely Armiyati Lapandu, Raihan Azhar Leka Destrilia Leviana, Rika Maulana, Dikri Merdiriyani, Sindy Meriani, Anggi Putri Mochamad Dzikri Daely Muhammad Ramadhan, Galih Muhammad Saiful Anwar Neng Ika Kurniati Neng Ika Kurniati Neng Ika Kurniati Neng Ika Kurniati Nida, Siti Nabilah Nugraha, Cindera Syaiful Nugraha, Geri Nugroho, Rizal Nur Widiyasono Nur Widiyasono, Nur Perkasa, Mochamad Althaf Pramasetya Popy, Popy Anisa Purwayoga, Vega Putra, Aldy R. Reza El Akbar R. Wahjoe Witjaksono Rachman, Andi Nur Rahmi Nur Shofa Rahmi Nur Shofa Rakhman, Maulana Decky Ramdani, Setiadi Randi Rizal Rianto, Rianto Ridwan Nur Qomar Rifki Mubarok Riki Ahmad Fauji Rita Sri Ernawati Rizal Nugroho Rizal, Randi Rizal, Randi Rochim, Rachma Verina Rohmat Gunawan Rohmat Gunawan Rukiman, Sheptianna Healtha Ruuhwan Ruuhwan Salman, Ade Selamat, Siti Rahayu Septian, Hilman Setiawan, Muhamad Bayu Setiawan, Perdi Shihab, Muhammad Quraish Shofa, Rahmi Nur Sholihat Ruhaedi, Hedy Sulastri, Heni Sulastri, Heni Sulastri, Heni Virra Retnowati A’izzah Visi Tinta Manik Warih Puspitasari Yuliasari, Silpani Yusup Mochamad Ramdani Yuzar, Arnefia ZK Abdurahman Baizal