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All Journal Buletin Udayana Mengabdi Jurnal SPEKTRUM Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) PROSIDING CSGTEIS 2013 JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Eksplora Informatika SINTECH (Science and Information Technology) Journal Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Stilistika: Journal of Indonesian Language and Literature Jurnal Teknik Elektro
Nyoman Putra Sastra
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Udayana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other

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Perancangan Hardware Sistem Monitoring Portabel Untuk Monitoring Arus dan Tegangan Listrik Menggunakan Raspberry Pi Negara, I Putu Bayu; Suyadnya, I Made Arsa; Sastra, Nyoman Putra
JST (Jurnal Sains dan Teknologi) Vol. 7 No. 1 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.723 KB) | DOI: 10.23887/jstundiksha.v7i1.13003

Abstract

Sistem monitoring mencakup pengumpulan, pelaporan, dan tindakan atas informasi suatu proses yang sedang berlangsung di suatu ruangan. Salah satu hal yang dapat dimonitoring pada ruangan adalah tingkat penggunaan listrik. Pada penelitian ini, dilakukan perancangan hardware sistem monitoring portabel yang dapat memonitoring arus dan tegangan listrik AC. Desain hardware menggunakan prosessor Raspberry Pi untuk mengolah hasil pembacaan 4 buah sensor arus YHDC tipe SCT-013-000 dan sensor tegangan AC. Hardware dapat diakses melalui antarmuka konfigurasi berbasis web yang menampilkan konektivitas jaringan dan nilai dari sensor-sensor. Hasil pengujian sensor arus pada saluran listrik 3 fase RSTN dan pengujian sensor tegangan didapatkan bahwa LCD pada hardware dan antarmuka konfigurasi berbasis web telah berhasil menampilkan nilai pembacaan sensor-sensor. Hardware juga telah berhasil terhubung ke jaringan wireless “RUANGAN01”pada alamat IP 192.168.8.107. Keseluruhan fungsionalitas antarmuka konfigurasi hardware berbasis web seperti login, koneksi perangkat, konfigurasi “on” sensor, reboot, shutdown dan reset juga telah berfungsi dengan baik dan sesuai dengan rancangan.
GPS-Based Rocket Payload Position Tracking System Wiharta, Dewa Made; Sastra, Nyoman Putra; Putra, A.A.B. Rama Windhu
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 1 (2023): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i1.55069

Abstract

The Ministry of Research, Technology and Higher Education Indonesia routinely hosts a competition of payload tracking system placed on a rocket with a Ground Control Station (GCS), a competition known as Kompetisi Muatan Roket dan Roket Indonesia. Fixed GCS antenna causes some problems, including poor communication between payload and GCS, and position detection of the payload. This research was conducted to create a tracking system capable of moving the GCS antenna towards the payload position. In this research, we use two servos to move the antenna. This payload position tracking system works by calculating the azimuth angle of GCS coordinate and of the payload, then converting the azimuth value into the servo angle value. The calculation performs by Arduino Mega 2560 which then commands both the horizontal and vertical  servos to direct the antenna towards the payload position. The experiments are performed with three main tests that are of tracking payload position based on GPS data, of antenna direction movement with servo horizontal motion direction, and of antenna direction movement with servo vertical motion direction. Testing are carried out by laying the payload on a drone and adjust the position and height of the drone manually. Experimental results show that the largest angular difference between the tracking system and the payload is 8 degrees azimuth. The mean angle difference is 4.7 degrees. This angle deviation occurs because the servo angle instruction can only be with an integer value.
Improved Cognitive Distortion Detection using IndoBERT and Important Words Approach for Bahasa Indonesia Suputra, I Putu Gede Hendra; Linawati, Linawati; Sukadarmika, Gede; Putra Sastra, Nyoman; Ari Wilani, Ni Made; Agus Setiawan, I Made
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3576

Abstract

Irrational or deviant thinking is a cognitive condition characterized by distortion in perception and reasoning. Such cognitive distortions are often reflected in an individual's speech and writing. Detecting distorted thinking at an early stage is crucial, as it can help mitigate the risk of severe depression. Cognitive Behavior Therapy (CBT) is one of the most widely studied approaches in psychotherapy research for depression. It has been recognized as an effective method for addressing cognitive distortions, depression, and negative thought patterns. Recent advancements in online CBT, particularly those incorporating Natural Language Processing (NLP) techniques, have significantly improved the diagnosis and treatment of cognitive distortions. Numerous studies have explored detecting and classifying cognitive distortions using machine learning models. Cognitive distortion detection is a form of short-text classification that presents a notable challenge – the limited availability of features that effectively capture a text's meaning or intent. Despite these challenges, BERT remains a consistently effective model across various text classification tasks. This study proposes a novel model for detecting cognitive distortions by introducing a new approach that combines sentence-level features from IndoBERT with keyword features derived from the class-based TF-IDF framework. The integration of these two feature sets demonstrated promising results, achieving an average accuracy of 0.787 and an F1 score of 0.769. These values represent improvements of 3.39% and 3.45%, respectively, compared to the IndoBERT-based detection model only. These findings highlight the potential of the proposed model as a valuable early detection tool to support online CBT programs.
Adaptation in IoT-Fog Data Transmission: SLR and Future Perspectives on Dynamic Frequency Control Firmansyah Maulana Sugiartana Nursuwars; Linawati; Nyoman Putra Sastra; Wiharta, Dewa Made; Aceng Sambas
Jurnal Teknik Elektro Vol. 17 No. 1 (2025)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v17i1.30564

Abstract

The advancement of Internet of Things (IoT) and fog computing technologies has created significant opportunities for more efficient, faster, and proximity-based data management. However, IoT-Fog systems face considerable challenges related to device heterogeneity, traffic dynamics, and the complexity of network topologies that continuously change. This study conducts a Systematic Literature Review (SLR) of various research works covering dynamic scheduling, routing, context-aware data flow, offloading, and IoT-Fog systems without adaptive mechanisms. The findings indicate that most existing approaches still rely on relatively static topology assumptions, rendering them insufficiently adaptive to real-time changes in network conditions. One area identified as a research gap is dynamic frequency control, an adaptive mechanism capable of dynamically adjusting data transmission intensity based on network conditions. The main conclusion of this study emphasizes the necessity for developing adaptive systems that are topology-agnostic and supported by dynamic frequency control to maintain optimal performance even under significant topology changes. Such systems are anticipated to become a crucial foundation for future IoT-Fog applications, including smart cities, Industry 4.0, and intelligent healthcare services, which demand high reliability and low latency.
Co-Authors A.A Ngurah Amrita Aceng Sambas Adhitya Bayu Rachman Pratama Afrizal Awlan Suryandaru agung aditya nugraha Agus Riki Gunawan Agus Supranartha Agusthinus Sampeallo, Agusthinus Anak Agung Bagus Rama Windhu Putra Anggreni, Ni Komang Ayu Sri Ari Wijaya I Kadek Ari Wilani, Ni Made Asri Prameshwari Bayu Bimantara Putra Bernandus, B. Cokorda Gde Wahyu Pramana Dewa Made Wiharta dian krisnandari Duman Care Khrisne Dwi Yoga Pratama Fajar Purnama firmansyah maualana sugiartana nursuwars G M Arya Sasmita Gamantyo Hendrantoro Gede Sukadarmika Gusti Ketut Bella I G. A. K. Diafari Djuni Hartawan I Gede Primanata I Gede Wira Darma I Gede Yogi Prawira Putra I Gusti Ayu Garnita Darma Putri I Gusti Ngurah Aditya Dharma I ketut Gede Darma Putra I Ketut Sukawanana Putra I Made Agung Pranata I Made Agus Setiawan I Made Arsa Suyadnya I Made Artana I Made Oka Widyantara I Made Rai Suarimbawa I Made Sastra Dwikiarta I MADE SUDARMA I Made Sukarsa I Made Widiartha I Nyoman Putra Maharddhika I Nyoman Putu Suwindra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Aldha Rasjman Sayoga I Putu Arie Pratama I Putu Gede Hendra Suputra I Putu Suryadharma I Wayan Adi Juliawan Pawana I Wayan Krisna Saputra I Wayan Manik Suhartanta Ida Bagus Adisimakrisna Peling Ida Bagus Vidananda Agastya IGN. Agung Dwi Jaya Putra K.O. Saputra Kessawa Adnyana Gede Oka Anak Agung Ketut Adi Kurniawan Kheri Arionadi Shobirin Komang Oka Saputra Komang Sri Utami Komang Tania Paramecwari Komang Yuda Krisnawan Lami, H. F. J. Lely Meilina Lie Jasa Linawati Linawati . Linawati Linawati Luh Ayu Diah Fernita Sari Luh Gede Astuti M Sudarma M. A. Suyadnya M. Azman Maricar Made Pasek Agus Ariawan Made Sri Satyawati Made Sudarma Made Sutha Yadnya Mandala, J. F. Michael Angelo Vincensio Simon Muhammad Anshari Muhammad Anshari Naufal Muhajir Abidin Negara, I Putu Bayu Negara, I Putu Bayu Ni Komang Ayu Sri Anggreni Ni Komang Utari Yulianingsih Ni Made Ary Esta Dewi Wirastuti Ni Putu Diah Arista Ningsih Nicko Satrio Pambudi Nurulita Aini Nyoman Pramaita Putra, A.A.B. Rama Windhu Putra, Rio Juniyantara Putu Andhika Kurniawijaya Putu Dhiko Pradnyana Rantelinggi, P. H. Rifky Lana Rahardian Rio Juniyantara Putra Rukmi Sari Hartati Rukmi Sari Hartati Sari, Luh Ayu Diah Fernita Sukadarmika, I Gede Widyadi Setiawan Wirawan Wirawan Yohanes Hendra Nugroho Yohanes Pracoyo Widi Prasetyo Yusuf Parri Akbar