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All Journal IAES International Journal of Robotics and Automation (IJRA) Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknoin Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Majalah Geografi Indonesia Jurnal Ilmiah Kursor Media Wisata Jurnal Ketahanan Nasional Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Patanjala : Jurnal Penelitian Sejarah dan Budaya WIDYA LAKSANA Jurnal Pariwisata Terapan CCIT (Creative Communication and Innovative Technology) Journal Jurnal Pendidikan dan Keluarga Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Tourism and Leisure International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Global Research on Tourism Development and Advancement (GARUDA) Jurnal Pariwisata Indonesia Jurnal Defendonesia (DEFENDONESIA) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Social Science Journal of Business on Hospitality and Tourism International Journal of Sustainable Competitiveness on Tourism Jurnal Ilmiah Pariwisata
Tri Kuntoro Priyambodo
Universitas Gadjah Mada
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Evaluation of Educational Tourism at Mangkunegaran Museum Pradipta, Made Prasta Yostitia; Putra, Heddy Shri Ahimsa; Priyambodo, Tri Kuntoro; Kusworo, Hendrie Adji
JURNAL PENDIDIKAN DAN KELUARGA Vol 17 No 02 (2025): Jurnal Pendidikan dan Keluarga
Publisher : Fakultas Pariwisata dan Perhotelan Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpk/vol17-iss02/1400

Abstract

This study evaluates the effectiveness of educational tourism at the Mangkunegaran Museum by highlighting five main dimensions: digital interpretation, guide education quality, authenticity and conservation, facility inclusivity, and cognitive impact. The research method uses source triangulation (managers, guides, tourists) and method triangulation (observation, interviews, documentation) to ensure data validity. The results show a significant gap between global standards for modern museums and the actual conditions at Mangkunegaran. Digital interpretation is not yet available, so visitors rely on verbal explanations. The guides are skilled at storytelling based on local wisdom, but the narratives are still descriptive and lack pedagogical value. The authentic collections are not accompanied by transparent conservation practices, so visitors do not understand the preservation process. Inclusive facilities are limited due to the historic architectural structure, which makes it difficult for people with disabilities and the elderly to access. The cognitive impact on visitors is relatively low because the learning experience is more superficial, although interactive activities such as dance and batik workshops have been shown to increase positive perceptions of Javanese culture. The conclusion emphasises the need for a development strategy through the digitisation of collections, capacity building for guides, participatory conservation, the provision of inclusive facilities, and interactive programmes. This transformation will make the Mangkunegaran Museum not only a space for preserving artefacts, but also an adaptive and relevant cultural learning centre for future generations.
PROMOSI PARIWISATA PESISIR PANTAI SUMATERA BARAT MELALUI EVEN TOUR DE SINGKARAK Susanti, Retnaningtyas; Damanik, Janianton; Priyambodo, Tri Kuntoro; Soeprihanto, John
Jurnal Ilmiah Pariwisata Vol 22 No 2 (2017)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Pariwisata Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30647/jip.v22i2.1131

Abstract

Provinsi Sumatera Barat memiliki atraksi wisata alam yang indah, berada di daratan maupun kepulauannya. Perpaduan bentang alam yang terhampar mulai dari laut hingga puncak gunungnya menjadikan provinsi Sumatera Barat sebagai salah satu destinasi andalan nasional. Saat ini, fokus pengembangan kepariwisataan Sumatera Barat adalah wilayah pesisir. Daerah yang sedang mengembangkan atraksi wisata pesisir adalah Kota Padang, Kab. Padang Pariaman dan Kota Pariaman. Penelitian ini berusaha menunjukkan bahwa untuk mendukung pengembangan kepariwisataan pesisir, upaya promosi yang tepat perlu dilakukan. Salah satu kegiatan promosi yang diselenggarakan pemerintah Provinsi Sumatera Barat adalah event balap sepeda Tour de Singkarak (TdS). Penelitian ini berusaha memberikan gambaran tentang kepariwisataan Sumatera Barat secara umum, serta kawasan pesisir pada khususnya. Upaya promosi pariwisata yang tepat perlu dikembangkan untuk wilayah pesisir, terutama pantai. Hasil observasi lapangan menunjukkan bahwa kepariwisataan daratan dan pesisir (kepulauan) Sumatera Barat telah berkembang, setiap daerah fokus pada potensi yang dimiliki. Upaya memajukan kepariwisataan didukung dengan kegiatan promosi yang diinisiasi oleh pemerintah provinsi Sumatera Barat melalui penyelenggaraan even TdS. Penelitian ini menggunakan metode analisa deskriptif kualitatif, data yang diperoleh berdasarkan wawancara serta dukungan data sekunder dijelaskan secara runut dan terperinci dalam laporan ini.
Multi-Class Semantic Segmentation of Oil Palm Areas Using a VGG-19 U-Net Improvement Widyaningsih, Maura; Priyambodo, Tri Kuntoro; Wibowo, Moh Edi; Kamal, Muhammad
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7062

Abstract

UAV imagery-based semantic segmentation is crucial for mapping tropical agricultural areas such as oil palm plantations. The main challenges are overlapping vegetation objects, unclear boundaries, and spectral similarities between classes, which reduce the accuracy of conventional models. This study proposes a modified U-Net architecture with a VGG-19 backbone, achieved through hyperparameter tuning (M7) and the integration of residual blocks (M8), to enhance multi-class segmentation performance. Experiments were conducted on aerial imagery with two resolutions (512×512 and 256×256) using four-class and three-class scenarios. The results show that M7 and M8 consistently outperform the baseline model (M2) in terms of accuracy, precision, recall, and average Intersection over Union (IoU). In the 512x512 four-class scenario, M8 achieved the highest accuracy (87.40%), precision (88.32%), recall (86.32%), and MIoU (0.132). M7 reached similar accuracy (>86%) but trained significantly faster than the baseline. In the 256x256 scenario, M8 maintained strong performance with 86.44% accuracy and 0.302 MIoU. For the three-class experiment, M8 reached a top MIoU of 0.178. Accuracy, precision, and recall were all above 87%, showing improved recognition of minority classes such as waterways. Confusion matrix analysis confirmed that M8 provided more balanced class predictions. It also reduced false negatives for oil palm vegetation. M7 showed slight fluctuations, suggesting possible overfitting. These findings support M8 as a robust solution for UAV-based oil palm mapping and large-scale monitoring.
Seeing the Unseen? Opportunities and Challenges in Understanding Tourist Behaviors from UGC using Large Language Models (LLMs) Gusriza, Fondina; Priyambodo, Tri Kuntoro; Mustofa, Khabib; Mutiarin, Dyah
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The era of digital tourism has resulted in various of User-Generated Content (UGC), such as online reviews, social media, and travel blogs. UGC is an important source of data for understanding tourist behaviours but often overlooked. This study explores the opportunities and challenges of using Large Language Models (LLMs) as a new approach to analyse UGC. The data were collected from TripAdvisor, focusing on 15 cultural heritage sites in Yogyakarta, Indonesia, with more than 13,000 user reviews. OpenAI’s Large Language Model was applied through API integration in Python, and a Natural Language Processing (NLP) approach was used to analyse tourist motivations, experiences, and satisfaction. The analytical process includes web scraping, text pre-processing, theory-driven classification, prompt engineering, and lexicon mapping. This paper contributes to the emerging discourse on the use of Artificial Intelligence in tourism studies, particularly in understanding tourist behaviours through textual data.
Co-Authors Abdul Majid Abdul Majid Agfianto Eko Putra Agfianto Eko Putra Agfianto Eko Putra Agus Harjoko Agus Harjoko Akbar, Rully Anggi Andi Dharmawan Aris Tundung Armaidy Armawi Artianingsih, Mahasika Dian Awaludin Nugraha Azhari SN Bayu Sutikno Budi Rahmani Budiawan, Budiawan Cika Fauziyah Cornelis Frederik Junifer Latupapua Cornellia, Ayu Helena Danu Kusuma Wardhana De-Ron Liang Dewi, Roels Ni Made Sri Puspa Dian Arymami Dyah Mutiarin, Dyah Edi Sofyan Endra Pitowarno Faisal Fajri Rahani Fajar Rinto Hadiputra Gamantyo Gamantyo Gunawan S Prabowo Gusriza, Fondina Heddy Shri Ahimsa Putra Heddy Shri Ahimsa-Putra Hendrie Adjie Kusworo Janianton Damanik Janianton Damanik Janianton Damanik John Soeprihanto John Soeprihanto, John Ketut Bayu Yogha Bintoro Khabib Mustofa Lisadewi, Isna Luthfi Aprilianto M Zacky Faluti M. Baiquni Maura Widyaningsih, Maura Meidy Putri Utami Mugenzi Thierry Muh. Asvial Muhammad Baiquni Muhammad Fadhlil Hadi Muhammad Kamal Mukti, Bentar Sagara Nugraheni, Agusta Ika Prihanti Nugraheni, Agusta Ika Prihanti Nur Rokhman Pradipta, Made Prasta Yostitia Pramusita, Arina Putro, Nur Achmad Sulistyo Qori' Bayyinaturrosyi Raden Sumiharto Rahani, Faisal Fajri Retnaningtyas Susanti Retnaningtyas Susanti Ridanto Eko Putro Rina Widiastuti, Rina Sardjono, Yadie Prasetyo Shouran, Zaied Saad Salem Siti Chalifatullah Siti Nurul Rofiqo Irwan Son Kuswadi Sri Rum Giyarsih Sudarmadji Sudarmadji Tonny Suhendra Unggul Wahyu Tri Purnomo Putro Untung Rahardja Venant Uzayisenga Wahyuni Reksoatmodjo Wibowo, Moh Edi Zaied Saad Shouran Zhofron, Nafis