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Contact Name
Fernando Fasandra
Contact Email
jurnalpariwisata_isi@isi-padangpanjang.ac.id
Phone
+6285272617854
Journal Mail Official
jurnalpariwisata_isi@isi-padangpanjang.ac.id
Editorial Address
Jl. Bahder Johan, Guguk Malintang, Kec. Padang Panjang Tim., Kota Padang Panjang, Sumatera Barat 27118
Location
Kota padang panjang,
Sumatera barat
INDONESIA
Journal of Tourism Sciences, Technology and Industry
ISSN : -     EISSN : 29625378     DOI : http://dx.doi.org/10.26887/jtsti.v2i1
Journal of tourism science, technology and industry E-ISSN 2962-5378 merupakan jurnal ilmiah di bidang kepariwisataan yang diterbitkan oleh Program Studi Pariwisata, Fakultas Seni Rupa dan Desain, Institut Seni Indonesia Padang Panjang. Jurnal ini bertujuan untuk menyebarluaskan informasi hasil-hasil penelitian dan pengembangan, kajian serta pemikiran tentang kepariwisataan. Penyebarluasan tersebut diharapkan dapat dimanfaatkan dalam praktik mengidentifikasi dan menyelesaikan permasalahan untuk tujuan pengembangan kepariwisataan. Jurnal ini diterbitkan 2 kali dalam setahun pada Juni dan Desember secara online dengan menggunakan platform OJS (Online Journal System). Redaksi menerima naskah ilmiah dari para peneliti, dosen, dan praktisi dengan tema kajian kepariwisataan yang ditelaah secara multidisiplin dan disajikan sesuai kriteria yang ditentukan oleh jurnal ini.
Articles 3 Documents
Search results for , issue "Vol 2, No 2 (2023): JTSTI-Journal Of Tourism Science, Technology and Industry" : 3 Documents clear
Analisis Pengembangan Wisata Golden Prawn Dan Pengaruh Peningkatannya Terhadap Konservasi Lingkungan Dan Keberlanjutan Di Kepulauan Riau Dara Larasati Azali; Vina Sulistiana
Journal of Tourism Sciences, Technology and Industry Vol 2, No 2 (2023): JTSTI-Journal Of Tourism Science, Technology and Industry
Publisher : Institut Seni Indonesia Padangpanjang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26887/jtsti.v2i2.4081

Abstract

Tourism in the Riau Islands is rapidly growing, with Golden Prawn as a major destination attracting many visitors. This research aims to analyze the development of Golden Prawn tourism and its impact on environmental conservation and sustainability in the region. The research method used is qualitative, descriptive, and analysis 3A with data collection through interviews, field observations, and literature review.The results show that Golden Prawn has experienced a significant increase in visits in recent years. Further development potential is evident from market demand and the natural potential in its surroundings. However, this development also brings environmental impacts, such as ecosystem degradation and increased waste.In the context of sustainability, the contribution of Golden Prawn to the local economy and cultural preservation is crucial. However, further efforts are needed to mitigate negative environmental impacts. This research provides recommendations for tourism managers and local governments to integrate sustainability principles into the development and management of Golden Prawn.
Classification of Chronic Kidney Disease based on health care records using machine learning with Support Vector Machine Abdurrahman Niarman; iswandi iswandi; Amuharnis Amuharnis
Journal of Tourism Sciences, Technology and Industry Vol 2, No 2 (2023): JTSTI-Journal Of Tourism Science, Technology and Industry
Publisher : Institut Seni Indonesia Padangpanjang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26887/jtsti.v2i2.4080

Abstract

Chronic Kidney Disease (CKD) is a global health concern with a rising prevalence that necessitates early and accurate diagnosis for effective management. This study proposes the application of Machine Learning (ML), specifically Support Vector Machine (SVM), to classify CKD based on health care records. Leveraging a comprehensive dataset of patient health records, including clinical and demographic information, the research aims to develop a predictive model that can assist in the timely identification of individuals at risk of CKD. The methodology involves preprocessing the health care records, extracting relevant features, and implementing the SVM algorithm for classification. The dataset is divided into training and testing sets to evaluate the model's performance.  The SVM classification model that was developed after going through the data preprocessing process produced results that were good enough to be able to classify whether a patient was diagnosed with CKD or not with an accuracy level of 98% and a total of 400 lines of data and 25 features.
Potensi Wisata Pantai Bahagia Nongsa Kota Batam Sebagai Obat Patah Hati Bagi Gen Z Bemby Saputra; Atma Raga Abdillah; Rahmad Hidayat
Journal of Tourism Sciences, Technology and Industry Vol 2, No 2 (2023): JTSTI-Journal Of Tourism Science, Technology and Industry
Publisher : Institut Seni Indonesia Padangpanjang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26887/jtsti.v2i2.4079

Abstract

Pantai Bahagia is located in Nongsa area, located at RT 001 RW 006, Sambau, Nongsa, Batam City, Riau Islands. This article discusses the tourism potential at Pantai Bahagia, Nongsa, Batam, using qualitative research methods. The objectives of this research are to explore the 3A components of tourism, analyze SWOT, identify the young people who visit, and understand the reasons for the large number of heartbroken people who choose Pantai Bahagia as their healing destination. The results show that Pantai Bahagia has a diversity of tourist attractions, adequate supporting facilities, and good accessibility. In addition, this article explains why Pantai Bahagia was chosen as a place to overcome heartbreak, by illustrating that the beach provides an opportunity for introspection, reflection, and the creation of new memories in an atmosphere that supports the healing process.

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