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Made Liandana - IEEE Xplore Author Profile
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Made Liandana

Publications
3
Citations
2
Publications by Year
20222025
Co-Authors:
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Made Liandana

Affiliation

Department of Informatics and Computer
Institut Teknologi Dan Bisnis STIKOM Bali
Denpasar, Indonesia

Publication Topics

Biography

Made Liandana received the bachelor’s degree in computer systems from STMIK STIKOM Bali, Denpasar, Indonesia, in 2011, and the Master of Engineering degree from the Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada (UGM), Yogyakarta, Indonesia, in 2014. He is currently lecturing with the Department of Informatics and Computer, Institut Teknologi Dan Bisnis STIKOM Bali, Indonesia. His research interests include machine learning, the Internet of Things, and wearable device.(Based on document published on 7 January 2025).
Publications
3
Citations
2
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information

Gede Angga Pradipta;Putu Desiana Wulaning Ayu;Made Liandana;Dandy Pramana Hostiadi

IEEE Access
Year: 2025 | Volume: 13 | Journal Article |
Cited by: Papers (2)
Fetal arrhythmia refers to an abnormal heart rhythm in a fetus, characterized by irregular, too fast (tachycardia), or too slow (bradycardia) heartbeats. Diagnosis is typically made using ultrasound or non-invasive fetal electrocardiography (NI-FECG), which monitors the electrical activity of the fetal heart. Accurate detection and management are crucial, as severe arrhythmias may lead to complica...Show More

Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information

Gede Angga Pradipta;Putu Desiana Wulaning Ayu;Made Liandana;Dandy Pramana Hostiadi

Year: 2025 | Volume: 13 | Journal Article |

Spearphishing Attack Detection Model Using Machine Learning Approach Based On Network Traffic Analysis

Yohanes Priyo Atmojo;Dandy Pramana Hostiadi;I Made Darma Susila;Gede Angga Pradipta;Made Liandana;Putu Desiana Wulaning Ayu

2024 10th International Conference on Smart Computing and Communication (ICSCC)
Year: 2024 | Conference Paper |
In the digital era, people use e-mail as the primary means of communication, as well as credentials and private communication in their work. Sending fake e-mails is usually illegal and aims to steal data or implant malware. Fake e-mails must be prevented and detected as early as possible. This paper proposes a new model for detecting fake e-mail-sending activities using a machine learning classifi...Show More

Spearphishing Attack Detection Model Using Machine Learning Approach Based On Network Traffic Analysis

Yohanes Priyo Atmojo;Dandy Pramana Hostiadi;I Made Darma Susila;Gede Angga Pradipta;Made Liandana;Putu Desiana Wulaning Ayu

Year: 2024 | Conference Paper |

Footstep Detection for Indoor Positioning using Accelerometer and Magnetometer Sensor on Smartphone

Made Liandana;Bagus Made Sabda Nirmala;Gede Angga Pradipta;Dandy Pramana Hostiadi

2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)
Year: 2022 | Conference Paper |
Indoor positioning using inertial sensors can be used as an alternative to GPS because indoor GPS signals are weaker than outdoors. Inertial sensors such as accelerometers and magnetometers are already packaged in smartphone devices, so the use of smartphones for indoor positioning is an option. Footstep detection is essential in determining position indoors; in this study, footsteps were detected...Show More

Footstep Detection for Indoor Positioning using Accelerometer and Magnetometer Sensor on Smartphone

Made Liandana;Bagus Made Sabda Nirmala;Gede Angga Pradipta;Dandy Pramana Hostiadi

Year: 2022 | Conference Paper |

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