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Peramalan Tingkat Penghunian Kamar (TPK) pada Hotel Berbintang di Banyuwangi dengan Metode Naive dan Decomposition Randhi Nanang Darmawan; Jemi Cahya Adi Wijaya; Adetiya Prananda Putra
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3543

Abstract

One crucial element of managerial planning within the tourism and hospitality sector is utilizing historical data to forecast trends. This study aims to predict time series data for the Room Occupancy Rate (ROR) in Banyuwangi's starred hotels, considering that the increase in the number of tourist visits in Banyuwangi after the Covid-19 pandemic is quite high, and this is directly proportional to the Room Occupancy Rate. The study utilized Naive and Decomposition (Additive and Multiplicative) methods with time series data collected on a monthly basis from 2021 to 2023. The study compared the performance of the two methods. The study's results demonstrate that the Decomposition Method outperforms the Naïve method, with an average ROR value of 60.13% for the Additive model, along with MAD = 4.91%, RMSE = 6.708%, and MAPE = 10.85%. Similarly, the ROR value for the Multiplicative model yields a percentage of 61.26%, accompanied by MAD = 4.93%, RMSE = 6.73%, and MAPE = 10.78%. Therefore, based on this model, the ROR forecast value for the star hotels in Banyuwangi can be obtained for several month periods in the following year.
Bamboo Craft Development Strategy in the Industrial Era 4.0 Towards Society 5.0 Gintangan Village Mohammad Iskandar; Jemi Cahya Adi Wijaya; Adetiya Prananda Putra
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1730

Abstract

The creative economy sub-sector contributed Rp. 1,153.4 trillion or to the total National GDP, 15.2% of the workforce, and 11.9% of exports (Kominfo, 2022). One of the villages that has a creative industry is Gintangan Village. The majority of Gintangan Village residents have a livelihood, namely, craftsmen. Many people work as craftsmen to fulfill their daily needs. However, bamboo handicraft centers are currently considered to still use conventional business so the management and organization are not well organized. This research aims to formulate a development strategy for the Industrial Revolution 4.0 towards Society 5.0. This research uses Ministry of Industry indicators namely, 1) management and organization; 2) people and culture; 3) products and services; 4) technology; and 5) factory operations. This research method uses descriptive qualitative with SWOT analysis. The results of this study indicate that the potential of the bamboo handicraft industry includes fine fiber bamboo, strategic location, adequate human resources, a wide variety of bamboo handicrafts, bamboo handicraft tourism villages, good handicraft branding, and professional staff. The highest strength factor is being a Tourism Village in the field of bamboo handicrafts and the main weakness factor is the lack of knowledge of digital technology marketing. The highest opportunity factor is the support of mass media promotion and the main threat factor is uncertain global dynamics and the lack of public awareness of the importance of technology application.
Risk management analysis of coastal tourism as a risk mitigation effort for sustainable tourism development in Banyuwangi Regency, Indonesia Adetiya Prananda Putra; Muhammad Taali; Auda Nuril Zazilah; Kanom Kanom
Journal of Applied Sciences in Travel and Hospitality Vol. 9 No. 2 (2026): JASTH: Journal of Applied Sciences in Travel and Hospitality (In Press)
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/jasth.v9i2.244-264

Abstract

Coastal tourism destinations face interacting environmental, operational, and governance risks, yet few studies explain how site-level risk assessment can be translated into destination-level governance. This study identifies, assesses, and maps risks across nine coastal tourism destinations in Banyuwangi Regency, Indonesia, through a sequential integration of ISO 31000:2018 and the COSO Enterprise Risk Management Framework (2017). A qualitative multiple-case study combined semi-structured interviews with eighteen beach managers and Tourism Awareness Group representatives, direct field observations, and document analysis. The data were coded thematically into risk events. ISO 31000 guided risk identification, likelihood-impact assessment, evaluation, and treatment. COSO ERM was then applied as a governance crosswalk, without rescoring or reclassifying the risks, to connect risk priorities with governance and culture, strategy and objective-setting, performance, review and revision, and information, communication, and reporting. Fourteen major risks were identified across operational, market, external, reputational, regulatory, business, and financial categories. Ecosystem degradation caused by tourism activities (O5; score = 16) and tourist drowning due to strong currents (O1; score = 15) were the two very-high-priority risks. Risk profiles varied across destinations according to environmental conditions, tourism activities, infrastructure, and institutional capacity. The study contributes a transparent analytical sequence that links operational assessment with multi-actor destination governance and provides a context-sensitive basis for risk treatment, accountability, and performance monitoring in coastal destinations.