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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sistem dan Informatika Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) JOSINFO : Jurnal Online Sistem Informasi JOSIKOM : Jurnal Online Sistem Komputer JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sistem Komputer dan Informatika (JSON) International Journal of Robotics and Control Systems Jurnal Algoritma
Padma Nyoman Crisnapati
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences Other

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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LQ45 Index Stock Market Prediction: A Deep Learning Approach using LSTM with Bayesian Optimization Crisnapati, Padma Nyoman; Putu Devi Novayanti; Dian Pramana
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.8925

Abstract

This study investigates the application of Long Short-Term Memory (LSTM) models with Bayesian Optimization for predicting stock price movements in the LQ45 Index, a collection of the 45 most liquid stocks on the Indonesia Stock Exchange. The primary objective is to enhance prediction accuracy by addressing the challenges of volatile stock markets and inefficient hyperparameter tuning. Historical data, including daily closing prices from January 2020 to October 2024, was processed using Min-Max Scaling and transformed into time-series input features with a 60-time-step window. Bayesian Optimization was employed to fine-tune key hyperparameters such as LSTM units, dropout rate, and learning rate, optimizing the model's performance. The results revealed that the LSTM model accurately captured trends for stocks with stable price patterns, such as ACES, ASII, and MTEL, achieving low Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE). However, stocks with high volatility, like AMMN and ITMG, exhibited higher prediction errors, indicating limitations in modeling complex patterns. The study highlights that while LSTM with Bayesian Optimization is highly effective for stable stocks, additional preprocessing and advanced modeling techniques are required for volatile stocks. This research demonstrates the potential of machine learning in supporting stock market decision-making, contributing to the development of more robust and efficient financial prediction tools for investors navigating dynamic markets.
PID-Controlled Gyroscopic Stabilization for Roll Balancing: A Simulation and Experimental Study Crisnapati, Padma Nyoman; Putu Devi Novayanti; Ni Ketut Ira Permata Adi; I Putu Agung Mas Aditya Warman; Anak Agung Istri Cintya Prabandari; I Made Darma Susila
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9001

Abstract

In marine engineering, stabilizing boat roll motion under wave-induced disturbances is a crucial problem where traditional approaches frequently have drawbacks in terms of responsiveness, energy efficiency, and adaptability. In this study, a PID-controlled gyroscopic stabilization system for boat roll balancing is designed, simulated, and experimentally validated. To capture the coupled dynamics of servo motor behavior, gyroscopic torque generation, and boat roll motion, a thorough dynamic model was created. Four gain configurations—Low, Moderate, High, and Very High—were evaluated using the model-guided PID parameter tuning that was implemented in Python. The mechanical system incorporates a gyroscopic flywheel driven by BLDC and mounted on a servo-controlled cradle. An ESP32 microcontroller processes real-time roll angle feedback from an MPU6050 sensor. According to simulation results, the ideal balance between rise time (~300 ms), overshoot (~2°), and settling time (~1 s) was reached with moderate PID gains. While High and Very High gains displayed instability because of unmodeled vibrations and sensor noise, a scaled physical prototype that was built and tested under controlled disturbances demonstrated strong alignment with simulation trends for Low and Moderate gains. The results show that moderate gains, which offer both quick stabilization and reliable performance, offer the most useful configuration for real-world applications. This work contributes a validated methodology for optimizing PID-controlled systems in dynamic environments by bridging the gap between theoretical modeling and practical implementation of marine gyroscopic stabilization.
Co-Authors Achmad Syaifudin Ade Widiyantara, I Putu Adi Yoga Dewantara, I Made Agus Sutrisna, I Kadek Anak Agung Istri Cintya Prabandari Aprilia Yustika Dewi, Aprilia Ardipa, Gede Sukra Arief Hadi Prasetyo Arief Hadi Prasetyo, Arief Hadi Arisandi, Ni Made Desi Aryasih, Putu Putri Ayu Juli Astari, Ni Made Ayu Nirma Lestari, Gusti Bunga Anindya, Made Cahyani, Agung Ayu Hanna Chawaphan, Pharan Dian Pramana Duika Adi Sucipta, I Kadek Dwi Suparyanta, Kadek Gusti Ngurah Putra Arimbawa, I Hanna Cahyani, Agung Ayu Haryantara, I Nyoman Hashim, Uda I Gede Mahendra Darmawiguna I Gusti Ayu Sri Melati, I Gusti Ayu I Ketut Resika Arthana I Komang Agus Ady Aryanto I Komang Ariesta Ananta, I Komang Ariesta I Komang Try Adi Stanaya, I Komang Try Adi I Made Darma Susila I Made Gede Sunarya I Nyoman Haryantara I Nyoman Kusuma Wardana I Putu Agung Mas Aditya Warman I Putu Dana Arista, I Putu Indriani, Ratri Dwi Jongsawat, Nipat Kadek Artawan Kadek Artawan, Kadek Khonthon, Sasithorn Lanang Nugraha, Made Lenny Natalia, Lenny M.Cs S.Kom I Made Agus Wirawan . Made Frans Aditya Bramantya Kusuma Made Frans Aditya Bramantya Kusuma, Made Frans Aditya Bramantya Made Windu Antara Kesiman Maemonah, Maemonah Maneetham, Dechrit Mariyantoni, I Kadek Yostab Maungmeesri, Benchalak Merta, I Gede Muchammad Naseer Ni Kadek Sumiari, Ni Kadek Ni Ketut Ira Permata Adi Ni Komang Oktari Permata Sari Oky Sanjaya, Kadek Pandu Wibawa S, I Wayan Panji Anggara, Dicky Prawira, Putu Yoka Angga Putra Yasa, Gede Agus Putu Angga Sudyatmika Putu Devi Novayanti Putu Putri Sanjani, Dewa Ayu Ratna Kartika Wiyati, Ratna Kartika Reditya Ary Prasetya, Agus Nyoman Rendy Syahrial, Lalu Ricky Aurelius Nutanto Diaz, Ricky Aurelius Roman Apriyansyah, Roman Shofwan Hanief Sri Darmaningsih, Luh Suarningsih, Putu Susena, I Komang Sutrisna Oka, Ketut Tri Thwe, Yamin Tirta Murdika, I Made Tungkasthan, Anucha Udayana, Ketut Wira Widiantara, Eka Putra Wikan Paramasila, Kadek Yoga Antara, I Made Yoka Angga Prawira, Putu Yostab Mariyantoni, I Kadek Yuda Danuarta, I Putu Yudiantara, I Made Yuri Pamungkas