bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Agrowisata Berbasis Wisata Edukasi Di Mini Agrowisata DKPP Surabaya
Authors: Fitriani Selvi Dwi , Larasati Deviona Ayu , Dewi Amalia Dinda Candra , Alawi A. Muammar
Published: February 2025

Agrotourism is a tourism development activity related to agriculture or rural activities aimed at increasing the added value of village welfare and agricultural activities themselves that can be interspersed with educational activities. This research aims to determine the development carried out by Mini Agrotourism DKPP Surabaya. With the development of education through agrotourism, it is hoped that education can be an attraction to attract tourists to visit. In addition, it can improve the economy of the surrounding community. This research uses a qualitative descriptive method. The data collection technique used is through research and literature analysis in journals, websites, and theses. The results of the study indicate that Mini Agrotourism DKPP Surabaya uses the concept of urban agriculture, namely hydroponics, due to land limitations. Mini Agrotourism DKPP Surabaya develops its tourism as educational tourism and as a learning facility for agriculture, plantations, and animal husbandry for children and students. The conclusion of this study is that Mini Agrotourism DKPP Surabaya has succeeded in developing agrotourism based on educational tourism, but further developments are needed to maintain this success. This education-based agrotourism provides positive benefits for children and students in Surabaya because they gain knowledge about agriculture, plantations, and even animal husbandry, which are rarely found in urban areas.
Keywords: Development, agrotourism, educational tourism
Evaluasi Terhadap Fasilitas dan Aksesibilitas Bagi Wisatawan Penyandang Disabilitas (Wheelchair) Yang Berkunjung Di Desa Wisata Penglipuran, Bali
Authors: Aprisa Ega , Nugroho Saptono
Published: February 2025

Facilities comprise all or part of the infrastructure and amenities in buildings and their surroundings to be accessed and utilized by everyone, including persons with disabilities and the elderly. This study aims to evaluate the existing condition of facilities and accessibility for tourists with disabilities (wheelchair users) by analyzing the availability of related facilities in Penglipuran Village as a case study. The research methodology employed is a qualitative approach through in-depth interviews with operational management, direct observation, and documentation of existing facilities. The research findings indicate that facilities and accessibility for tourists with disabilities (wheelchair users) in Penglipuran Village are still inadequate. There are constraints in accessibility in several areas of the village, particularly in residents' houses serving as dining or resting places. Overall, limited accessibility hampers the participation of tourists with disabilities in exploring the entire village area, interacting with local communities, and enjoying some experiences offered by Penglipuran Village. This research provides significant benefits to various stakeholders, including the government, tourism object managers, communities, and tourists with disabilities themselves, to make improvements and enhancements to facilities in line with the needs of tourists with disabilities.
Keywords: evaluation; facilities; accessibility; tourists with disabilities.
Pengaruh Aksesibilitas Wisata Terhadap Jumlah Kunjungan Wisatawan Di Destinasi Wisata Candi Borobudur
Authors: Ayun Fira Khurota , Prasetyo Danang , Nusanto Tri Suyud
Published: February 2025

The Borobudur Temple's accessibility and facilities, which are essential for the growth of tourism, are impacted by the number of visitors who come here. The purpose of this study is to clarify the relationship between accessibility and the number of visitors to Borobudur Temple. The accessibility scale and the tourist visitation scale are the research tools used in this study. A total of 100 respondents were selected by chance selection. Tourist interviews, questionnaires, and observations were used in the data collecting process. Among the analytical techniques used are classical assumption testing, validity assessment, reliability evaluation, hypothesis testing, and basic linear regression. The results show that accessibility has a substantial partial impact on tourist visits (t-score of 4.174, p-value 0.000). A value of 0.389 indicates that the presence of tourists affects accessibility, according to hypothesis testing.
Keywords: accessibility, number of visits, borobudur temple
Pengaruh Media Sosial Tiktok Terhadap Keputusan Berkunjung Wisatawan Pada Wisata Alam Di Kabupaten Bandung
Authors: Taufik Muhamad Sabil Fawwazian
Published: February 2025

Along with the development of technology and information, one of which is social media, has changed the way tourists search for information and make travel decisions. One of the popular social media platforms today is TikTok. The purpose of this study is to determine the influence of TikTok social media on tourists' decision to visit natural tourism in Bandung Regency. The method used in this research is a quantitative method with a survey technique. Data was collected through an online questionnaire distributed to tourists who have visited natural tourism in Bandung Regency. The data collected was 50 respondents. The results of this study are indicate a significant positive influence of TikTok social media on tourists' decision to visit. The calculated t-value 15.562 is greater than t-table 2.010, and the correlation coefficient (r) is 0.914. This suggests that TikTok social media has a very strong relationship with tourists' decision to visit. The coefficient of determination (R Square) is 0.835, indicating that TikTok social media influences tourists' decision to visit by 83.5%. The remaining 16.5% is influenced by other factors not examined in this study. The study concludes that individuals' decisions to visit natural attractions are also influenced by the dissemination of information, content, and testimonials through the TikTok platform.
Keywords: Media Sosial,; TikTok, Keputusan Berkunjung, Wisata Alam, Kabupaten Bandung
Pengaruh Kualitas Pelayanan Dan Fasilitas Wisata Terhadap Kepuasan Wisatawan Nusantara Yang Berkunjung Ke Pura Luhur Uluwatu
Authors: Sari Harum Puspita , Sagita Putu Agus Wikanatha , Dewi Luh Gede Leli Kusuma
Published: February 2025

This study aims to evaluate the impact of service quality and tourism facilities on the satisfaction of domestic tourists visiting Uluwatu Temple. Employing a quantitative research method with data collection through questionnaires, this research focuses on analyzing tourists' perceptions of the services and facilities provided at Uluwatu Temple. The findings of this study can provide a significant contribution to the Indonesian tourism industry, particularly in understanding the factors influencing tourist satisfaction. The data analysis results indicate that both service quality and tourism facilities have a significant partial and simultaneous impact on the satisfaction levels of domestic tourists. Factors such as staff friendliness, cleanliness, and the availability of common facilities play a crucial role in shaping a positive tourist experience. Consequently, Uluwatu Temple needs to continually improve its service and facility standards to maintain and enhance its appeal to tourists. This research is expected to guide tourism destination managers in developing more effective strategies to enhance tourist satisfaction and promote sustainable domestic tourism growth.
Keywords: service quality, facilities, tourist satisfaction
Identifikasi Dampak Limbah Pasar Ikan Terhadap Keberlangsungan Wisata Kuliner Seafood Di Pantai Kedonganan, Bali
Authors: Ardana Mella Amelia , Arida I Nyoman Sukma
Published: February 2025

The aim of this research is to find out what waste is produced by the Kedongan Fish Market and the management carried out as well as to find out its impact on the sustainability of tourism and visits by seafood culinary tourists to Kedonganan beach. The methods used to collect data in this research were observation, interviews, document review and documentation results and literature study. The data analysis method used in writing this research report is qualitative descriptive analysis. The results of this research are that the waste produced by the fish market is in the form of liquid waste and solid waste. This waste management is carried out by the Traditional Village, but it is still not optimal due to the lack of cooperation from the traders. Meanwhile, the impact of fish market waste results in disruption of the sense of smell, because the smell is quite pungent, liquid waste in the form of discarded or leaked fish water makes the roads around the market muddy, slippery and smelly. This doesn't really affect tourist visits to Kedonganan Beach seafood culinary delights, but it is quite annoying for tourists. All parties who manage fish markets and culinary tourism should synergize well, so that in the future seafood culinary tourism and the Kedonganan Fish Market can develop better and be more hygienic.
Keywords: culinary tourism, fish market, waste
Perkembangan Kegiatan Pottery Class Sebagai Wisata Minat Khusus Di Ubud, Gianyar, Bali
Authors: Zetti Azra , Adikampana I Made
Published: February 2025

Bali, as one of the most popular tourist destinations, offers a wide array of activities and attractions that cater to travelers' preferences. Pottery classes have emerged as a particularly sought-after niche activity among tourists. The tourism potential in the Ubud region of Bali is notable for its variety of specialized interest activities such as craft classes. As specialized interest tourism evolves, efforts are needed to ensure its sustainability, including understanding tourists' interests in these activities, especially pottery classes in Ubud. This research aims to explore tourists' interest in participating in pottery class tourism activities and to identify the development of pottery classes as a specialized interest tourism attraction in Ubud, Gianyar. Utilizing qualitative methodology, the study employs observation, semi-structured interviews, and literature review to collect data. The findings reveal that tourists interested in ceramic craft activities are often drawn by their passion for arts, particularly ceramics, and view such activities as opportunities to unwind from daily pressures. The growing interest among tourists in pottery classes has contributed significantly to the development of these activities, particularly in Ubud, Gianyar. The high demand for pottery classes has led to numerous businesses offering such activities, underscoring the need to monitor their development to ensure sustained growth. This not only supports the local economy in Ubud, Gianyar but also enhances the tourism experience by promoting cultural engagement and creative pursuits. Understanding and fostering the growth of pottery classes in Ubud, Gianyar is crucial for their continued success as sustainable tourism activities that contribute positively to the local community.
Keywords: Development of Pottery Class in Ubud, Special Interest Tourism, Tourist Interests
Peran Pemuda Dalam Pengembangan Pariwisata Budaya Di Desa Wisata Pejeng Kangin, Kabupaten Gianyar
Authors: Dewi Ketut Ayu Candra Mesiya , Sanjiwani Putri Kusuma
Published: February 2025

Youth has a role as well as a very strategic position in the progress of the nation and state in the future. Balinese youth have an important role in preserving Balinese traditional culture, especially in the participation of the younger generation in the development of Balinese cultural tourism. Youth is the main actor in maintaining and promoting the values of cultural tourism. Pejeng Kangin Tourism Village is one of the tourist destinations that develops cultural tourism. The Pejeng Kangin youth have great potential as creators of innovative ideas for the development and advancement of tourism. The aim of this research is to determine the existence of cultural tourism and the role of youth in the development of cultural tourism in the Pejeng Kangin Tourism Village. This research is a qualitative research with qualitative descriptive data analysis techniques. The data in this study were collected by observation, interview and documentation techniques. The informants of this study were 25 people who were youths from the Pejeng Kangin Youth Organization. The results of this study indicate that the role of youth can be seen in participation in implementation and implementation as well as participation in enjoying the results. The role of youth related to participation in making and making decisions as well as participation in evaluations is still lacking, so it needs to be optimized again for better social welfare and tourism development.
Keywords: Role of Youth, Cultural Tourism, Pejeng Kangin Tourism Village
Aktivitas Wisatawan Generasi Z Di Pantai Melasti Ungasan, Kecamatan Kuta Selatan, Kabupaten Badung, Bali
Authors: Elsampurno Virena Michelle , Nugroho Saptono
Published: February 2025

Melasti Beach, located in Ungasan Village, Bali, is renowned for its stunning natural beauty, excellent facilities, and diverse attractions. This beach offers natural attractions like white sand and breathtaking scenery, cultural attractions such as the Kecak Titi Situ Banda Dance performance, and artificial attractions including a beach club. This study aims to identify the preferences of Generation Z in selecting existing attractions and the activities they engage in at the Melasti Beach Tourist Attraction. Using qualitative methods, the study gathers data through observation, interviews, and documentation. The results reveal that Generation Z visits Melasti Beach primarily to relax and explore new experiences. Their activities often include sunbathing, swimming, attending cultural performances, and socializing at the beach club. To enhance the appeal of Melasti Beach for Generation Z, sustainable management practices must be adopted. These practices can include maintaining the cleanliness of the beach, preserving the natural environment, and offering new and innovative attractions that cater to the interests of young visitors. By understanding and catering to the preferences of Generation Z, Melasti Beach can continue to thrive as a popular tourist destination. Ensuring a balance between natural preservation and modern amenities will be key in achieving long-term sustainability. The insights from this study can guide the development of strategies that not only attract more Generation Z tourists but also promote the overall sustainable development of the Melasti Beach Tourist Attraction.
Keywords: Melasti Beach, Ungasan Village, Bali, Generation Z, Tourist Attractions, Tourist Activities
Determinants of Taxpayer Ethical Behavior in Tax Avoidance and Evasion: Strategies for Mitigation
Authors: Arda Devid Putra , Yusuf Yusuf
Published: February 2025

Research on tax avoidance and evasion in Indonesia and globally has produced inconsistent findings, raising concerns about their prevalence and ethical implications. This study explores the factors influencing taxpayer ethics and strategies to address tax avoidance and evasion through a systematic literature review. Analyzing 21 articles on tax avoidance, key determinants include Corporate Social Responsibility (CSR), Good Corporate Governance (GCG), profitability, and perceptions of the tax system, all of which significantly shape avoidance behavior. Similarly, 21 articles on tax evasion, including 18 focused on its determinants, highlight the roles of fairness perceptions, taxpayer knowledge, and law enforcement. Strategies to mitigate evasion emphasize GCG to enhance transparency and accountability, stronger law enforcement, and improved fairness to build trust and legal certainty. These findings offer valuable insights for policymakers and tax administrators, providing a foundation for developing effective compliance and enforcement strategies to reduce unethical tax practices.
Keywords: tax avoidance, tax evasion, determinant, strategies for overcoming
The Impact of Audit Findings and Recommendation Follow-Up on Public Service Quality: An Empirical Investigation
Authors: Yanti Harti Budi , Ardlillah Barlian Izza
Published: February 2025

Public services, traditionally provided by government agencies, present challenges in measuring their quality. As a result, research on public service quality remains relatively limited. This study seeks to examine both the direct and indirect effects of audit findings and the follow-up of audit recommendations on public service quality. The analysis covers 480 regency and city governments over the period 2021–2022, employing panel data regression, ordinal logistic regression, and the Sobel test. The findings reveal that audit findings negatively affect public service quality, while the follow-up on audit recommendations has a positive impact. These effects are observed both directly and indirectly, mediated by the quality of financial statements. This underscores the critical role of sound financial management in delivering high-quality public services. The results suggest that government agencies should not only strive for unqualified audit opinions but also prioritize the thorough follow-up of audit findings and recommendations. Doing so enhances both the quality of financial reporting and the overall delivery of public services.
Keywords: Public Service, Opinion, Audit Findings, Audit Recommendations Follow-up
Impact of Cloud-Based Accounting Information Systems on Decision-Making Quality
Authors: Kristiyanthi Anak Agung Dwi , Sujana I Ketut , Wirama Dewa Gede , Ratnadi Ni Made Dwi
Published: February 2025

This study investigates the factors influencing the adoption of cloud-based Accounting Information Systems (AIS), extending the Unified Theory of Acceptance and Use of Technology (UTAUT) to include new critical factors pertinent to decision-making processes. Employing a quantitative methodology, the research tested hypotheses through questionnaires, which served as the primary instrument for data collection. Data analysis was conducted using structural equation modeling with Smart PLS. The findings indicate that performance expectancy and the utilization of artificial intelligence significantly impact the intention to use cloud-based AIS. Moreover, both the intention to use and the presence of facilitating conditions positively affect actual usage behavior. It was also determined that actual usage behavior has a favorable impact on the quality of decision-making. This research underscores the importance of technology acceptance factors in influencing the effective implementation and utilization of cloud-based AIS, thereby enhancing decision-making quality within organizations.
Keywords: UTAUT extensions, cloud-based accounting, use of artificial intelligence, decision-making quality
The Mediating Effect of ESG Performance on Board Structure and Financial Performance: Evidence of Indonesia
Authors: Ihbal Ahmad , Ifada Luluk Muhimatul
Published: February 2025

This study offers fresh data on the significance of corporate location in CSR reporting from nine developing nations, together with a review of the environment's present status and how eco-friendly behaviors and attitudes might preserve the planet. The Bloomberg database was used to gather environmental, social, and governance score data for the years 2013 through 2020. This study concludes some findings. First, independent members have an effect on the company's financial success. Second, independent boards do a lot of damage to ESG. The third thing is that the ESG may lessen the effect that independent members have on financial performance. The findings of this study will benefit any country where sustainable green practices are uncommon and the ecosystem deteriorates on a daily basis.
Keywords: ESG performance, board structure and financial performance
Intellectual Capital's Role in Enhancing Profitability During the Pandemic: A Comparative Study of Indonesia and Thailand
Authors: Elsinta Laurentia Yuke , Marlina Maria Asumpta Evi , Kohardinata Cliff
Published: February 2025

COVID-19 had a dual effect on Indonesian and Thai company sub-sectors, dampening profitability while accelerating digital transformation bolstered by intellectual capital (IC) metrics such as VACA, VAHU, STVA, and VAIC. This quantitative study employed purposive sampling across food and beverage, agriculture, electronics, chemical, and automotive sub-sectors, encompassing 55 IDX-listed and 63 SET-listed companies from 2020 to 2022, yielding 354 observations. Data underwent descriptive statistics, classical assumption tests, and multiple linear regression analysis. Results showed significant positive impacts of VACA, VAHU, STVA, and VAIC on profitability in both countries. However, Thailand's firms prioritized structural capital, contrasting with Indonesian firms emphasizing human and intellectual capital. Future research could extend to other developed Asian nations, diverse industries, and explore the MVAIC model to uncover IC's broader profitability impacts.
Keywords: human capital, structural capital, earning before interest and tax, global crisis
Penerapan Metode Content Based Filtering Dan K-Nearest Neighbor Dalam Sistem Rekomendasi Musik
Authors: Sarmandana I Made Teja , Widiartha I Made , Rahning Putri Luh Arida Ayu , Santi Astawa I Gede
Published: February 2025

Current technological developments are able to change the way the younger generation enjoys music, where music can now be packaged in digital form, which is a new innovation in the music industry in Indonesia. Given the large amount of music data available on the internet, a system that provides services for users to search for their favorite music is really needed. The recommendation system will provide relevant information based on the preferences that the user wants to search for. Content Based Filtering recommends that users utilize the information contained in the data to use as parameters. The K-Nearest Neighbor (K-NN) algorithm is a method of classifying objects based on the closest training data to the object under test. In this study, accuracy testing techniques were used to measure the performance of the classification that has been carried out. The classification process that was created succeeded in obtaining the highest accuracy value at 90,49% with a value of k=9 which shows that the classification and recommendation process can run quite well.
 
Keywords: Accuracy, Content Based Filtering, Classification, Recommendation System, K-Nearest Neighbor, Music
Analisis Sentimen Berbasis Aspek Terhadap Ulasan Aplikasi Mobile Jkn Dengan Metode Random Forest Dan Information Gain Sebagai Seleksi Fitur
Authors: Dwiputra Harta Yauw James Fang , Wibawa I Gede Arta , Karyawati Anak Agung Istri Ngurah Eka , Mogi Komang Ari
Published: February 2025

Di era digital yang berkembang pesat, aplikasi telah menjadi bagian integral dalam kehidupan sehari-hari. Penelitian ini berfokus pada analisis sentimen berbasis aspek review aplikasi Mobile JKN dengan metode Random Forest dan Information Gain. Pendekatan teknologi ini sangat penting untuk memahami opini pengguna, memandu perbaikan dan pengembangan lebih lanjut. Data ulasan Google Play Store digunakan, dengan skor peringkat berfungsi sebagai panduan untuk klasifikasi sentimen. Kajian tersebut bertujuan untuk memberikan wawasan mendalam mengenai sentimen dan aspek yang mempengaruhi review aplikasi Mobile JKN. Melalui pendekatan ini, kualitas layanan kesehatan yang diberikan melalui aplikasi diharapkan dapat terus ditingkatkan.
Analisis Sentimen Ulasan Aplikasi Solusi Kota Cerdas Menggunakan Algoritma Naïve Bayes dan Support Vector Machine (SVM) dengan Seleksi Fitur Chi-Square
Authors: Pramesti Ni Luh Komang Indira , Raharja Made Agung , ER Ngurah Agus Sanjaya , Wibawa I Gede Arta
Published: February 2025

Masyarakat yang semakin bergantung dengan teknologi dalam kegiatan sehari-hari menyebabkan banyaknya aplikasi yang hadir dalam membantu kegiatan ini. Salah satunya adalah aplikasi SpeedID yang berfungsi sebagai solusi kota cerdas. Fitur yang dimiliki beragam, mulai dari verifikasi identitas online, antrean online, manajemen usaha kuliner, manajemen usaha UKM, dan masih banyak lagi. Popularitas aplikasi ini berujung pada banyaknya ulasan yang diberikan oleh pengguna, baik itu positif, negatif, maupun netral. Oleh karena itu, perlu dilakukan suatu analisis sentimen ulasan guna mengetahui pandangan pengguna terhadap aplikasi. Metode analisis sentimen yang digunakan adalah Naïve Bayes (NB) dan Support Vector Machine (SVM) dengan seleksi fitur chi-square. Hasil evaluasi model menunjukkan bahwa seleksi fitur chi-square memiliki pengaruh positif terhadap performa model NB yang ditandai dengan meningkatnya nilai akurasi hingga sebesar 3,12%. Namun, seleksi fitur chi-square ini tidak memiliki pengaruh terhadap performa model SVM yang tidak mengalami peningkatan atau penurunan nilai akurasi saat ditambahkan chi-square.
Deteksi Rasa Buah Jeruk Siam Kintamani Menggunakan SVM dengan Optimasi Algoritma Genetika
Authors: Damayanti Ni Wayan Yulia , Wibawa I Gede Arta , Astawa I Gede Santi , Eka Karyawati Anak Agung Istri Ngurah
Published: February 2025

Buah jeruk siam kintamani adalah salah satu komoditas penting dalam pertanian Indonesia, terutama di Kabupaten Bangli, Bali. Namun, menilai kualitas rasa jeruk masih sering mengandalkan identifikasi manual yang subjektif. Dalam upaya meningkatkan objektivitas dan konsistensi dalam menilai kualitas jeruk, penelitian ini mengusulkan penggunaan algoritma Support Vector Machine (SVM) yang dioptimalkan dengan algoritma genetika. Penelitian ini bertujuan untuk mendeteksi kualitas rasa jeruk siam kintamani berdasarkan ciri tekstur pada citra jeruk. Hasil pengujian menunjukkan bahwa SVM yang dioptimalkan dengan algoritma genetika memiliki akurasi yang lebih baik daripada SVM tanpa optimasi. Sebagai contoh, SVM tanpa optimasi memberikan akurasi sebesar 0.78, sedangkan setelah dioptimalkan dengan algoritma genetika, akurasi meningkat menjadi 0.80. Hasil ini menunjukkan potensi besar algoritma genetika dalam meningkatkan kinerja SVM dalam mendeteksi kualitas rasa jeruk siam kintamani, yang dapat membantu meningkatkan efisiensi dan konsistensi dalam industri jeruk.
IMPLEMENTASI METODE DESIGN THINKING DAN PRINSIP GESTALT PADA RANCANG BANGUN DASHBOARD SMART-FARM
Authors: Wiraprathama Alvin , Widiartha I Made , Suhartana I Ketut Gede , Arya Kadyanan I Gusti Agung Gede
Published: February 2025

Sektor pertanian Bali mengalami penurunan pertumbuhan yang signifikan pada tahun 2022 dibandingkan tahun sebelumnya, yang mengalami peningkatan yang signifikan. Salah satu faktor utama di balik penurunan ini adalah terbatasnya adopsi praktik pertanian digital di Bali. Kurangnya pemanfaatan teknologi digital di bidang pertanian, termasuk alat untuk memantau tanaman, analisis tanah, prediksi cuaca, dan konektivitas pasar, kemungkinan besar berkontribusi terhadap penurunan produktivitas dan efisiensi aktivitas pertanian. Mengatasi masalah ini bisa menjadi hal yang sangat penting bagi Bali untuk meremajakan sektor pertaniannya dan mendorong pertumbuhan ke depan. Untuk mengatasi tantangan ini, dashboard pertanian cerdas telah dikembangkan secara khusus untuk memenuhi kebutuhan petani di Bali. Dasbor ini menawarkan desain antarmuka yang ramah pengguna dan menggabungkan fitur-fitur yang dirancang untuk membantu petani di Bali. Dasbor dibuat melalui penerapan metodologi design thinking, mengintegrasikan prinsip-prinsip Gestalt untuk mengoptimalkan antarmuka pengguna. Hasil pengujian kegunaan dashboard yang diukur dengan System Usability Scale (SUS) menunjukkan kinerja yang kuat dengan skor 79,75 yang mencerminkan usability yang sangat baik.
Analisis Serangan Cross Site Scripting (XSS) Pada Website OASE Menggunakan Metode OWASP
Authors: Putranda Muhammad Arrysatrya Yusuf , Mogi I Komang Ari , Putra I Gusti Ngurah Anom Cahyadi , Widiartha I Made
Published: February 2025

Berkembangnya internet membuat majunya era teknologi digitalisasi, dimana hampir seluruh sektor kini dapat diakses secara digital, termasuk pendidikan. Salah satunya adalah Universitas Udayana yang memiliki LMS bernama Online Academic Service for Elearning (OASE) yang digunakan dalam proses pembelajaran di lingkungan Universitas Udayana. Namun perkembangan ini diikuti oleh potensi ancaman, dengan terwujudnya digitalisasi yang berarti hal tersebut dapat diakses oleh siapa saja, termasuk orang yang merusak suatu sistem. Salah satu jenis serangan yang banyak ditemukan adalah Cross Site Scripting (XSS). Untuk memastikan keamanan LMS OASE milik Universitas Udayana, perlu dilakukan Analisis Kerentanan terutama pada serangan XSS yang dilakukan dengan uji penetrasi menggunakan metode OWASP. Dari hasil pengujian ditemukan bahwa meskipun OASE memiliki beberapa potensi celah kerentanan, namun hanya satu fitur saja yang dikonfirmasi memiliki kerentanan, sedangkan fitur lainnya berhasil diproteksi dengan adanya fungsi filtering serta kontrol pada eksekusi script dari pengguna.
Faktor Penerimaan dan Penggunaan Siswaskeudes oleh Pengawas Keuangan Desa
Authors: Widiantari Putu , Wirakusuma Made Gede , Mimba Ni Putu Sri Harta , Ardiana Putu Agus
Published: February 2025

This research investigates the factors influencing the acceptance and use of the Village Financial Monitoring System (Siswaskeudes) application by village financial supervisors. Utilizing an interpretive approach and hermeneutic phenomenology, the study aims to understand supervisors' experiences and perceptions regarding the usefulness and ease of use of Siswaskeudes. Data were collected through in-depth interviews with five informants from the Denpasar City Inspectorate. The findings indicate that perceived usefulness, ease of use, attitudes toward behavior, subjective norms, and perceived behavioral control are crucial in determining application usage. Most informants found Siswaskeudes to facilitate easier data access and enhance work efficiency, despite identifying initial use challenges and the need for further development. Compliance with legal regulations, reflected in subjective norms, is a primary driver of the application's use. This research recommends ongoing development, training, regular monitoring, team support, and security enhancements to boost Siswaskeudes' acceptance and usage. Future research should explore user satisfaction using quantitative approaches with the Technology Acceptance Model (TAM) and consider additional variables such as security and cost savings.
Pembangunan Aplikasi Pengenalan Kualitas Rasa Buah Jeruk Siam Kintamani Menggunakan GLCM dan K-NN Berbasis User Centered Design (UCD)
Authors: Pranata Putu Bagus Dio , Arta Wibawa I Gede , Raharja Made Agung , Anom Cahyadi Putra I Gusti Ngurah
Published: February 2025

Buah Jeruk Siam Kintamani merupakan salah satu komoditas unggulan yang memiliki variasi kualitas rasa yang signifikan. Oleh karena itu, diperlukan suatu alat yang dapat membantu pengguna dan calon konsumen, dalam mengenali kualitas rasa buah dengan cepat dan akurat. Metode GLCM digunakan untuk mengekstraksi fitur tekstur dari citra buah Jeruk Siam Kintamani, sementara algoritma K-NN akan memproses fitur-fitur tersebut untuk mengklasifikasikan kualitas rasa buah. Pendekatan UCD diterapkan dalam pengembangan aplikasi untuk memastikan bahwa antarmuka pengguna dirancang dengan mempertimbangkan kebutuhan dan preferensi pengguna akhir. Pengujian usability testing dan uji akurasi algoritma Gray Level Co – Occurrence Matrix (GLCM) dan K – Nearest Neighborts (KNN) dilakukan, dengan memanfaatkan hasil pengujian usability, serta akurasi algoritma pengenalan kualitas rasa. Hasil dari penelitian ini memiliki hasil tingkat usability sangat baik, dalam masing – masing aspek yang di uji, yaitu aspek learnability sebesar 80%, efficiency 83%, hasil nilai skor system usability scale (SUS) sebesar 86,3%, dan error defective rate sebesar 14% kemudian dikatakan valid serta reliabel, serta sudah baik dan dapat diterima oleh pengguna aplikasi ini.
Sistem Personalized Recommendation dengan Pendekatan Ontologi untuk Menangani Masalah Obesitas
Authors: Yuda Putu Danny Satria Ananta , Eka Karyawati Anak Agung Istri Ngurah , Supriana I Wayan , Astawa I Gede Santi
Published: February 2025

Penelitian ini mengembangkan sistem rekomendasi personal yang menggunakan pendekatan ontologi untuk menangani masalah obesitas. Sistem ini dirancang untuk memberikan rekomendasi makanan yang sesuai dengan karakteristik pengguna, seperti usia, jenis kelamin, dan preferensi makanan. Ontologi yang digunakan memungkinkan sistem untuk memahami hubungan kompleks antara berbagai jenis makanan dan nutrisi, sehingga dapat memberikan rekomendasi yang lebih akurat dan relevan. Evaluasi terhadap sistem dilakukan dengan menggunakan metode Technology Acceptance Model (TAM), yang menunjukkan bahwa pengguna merasa sistem ini berguna dan mudah digunakan. Hasil survei menunjukkan bahwa rata-rata nilai Perceived Usefulness (PU) adalah 4.167, Perceived Ease of Use (PEOU) adalah 4.233, Attitude Toward Using (ATU) adalah 4.033, dan Behavioral Intention to Use (BI) adalah 4.089, yang menunjukkan bahwa sistem ini diterima dengan baik oleh pengguna. Simpulan penelitian ini menunjukkan bahwa sistem rekomendasi berbasis ontologi memiliki konsistensi yang baik dan mampu meningkatkan kepuasan pengguna dalam mengelola pola makan mereka. Saran untuk pengembangan lebih lanjut mencakup perluasan pengumpulan data, peningkatan algoritma rekomendasi dengan teknik machine learning, desain antarmuka yang lebih intuitif, dan keterlibatan pengguna dalam proses pengembangan sistem.
Kata Kunci: Sistem Rekomendasi, Ontologi, Obesitas, Teknologi Informasi, Evaluasi TAM
Comparative Analysis of Algorithm of Naive Bayes and C4.5 On Employee Performance Classification
Authors: Sadikin Muhammad , Batubara Rini Oktari
Published: February 2025

Employee performance appraisal is one of the supporting factors to increase the productivity of an agency's performance. Performance appraisal is needed to determine the level of success of each employee's performance and is used to assess success in accordance with the objectives set in order to realize the mission and vision of a company. The employee performance appraisal system that runs at the Main Potential University is outlined in the Standard Operating Procedure (SOP) document. There are 10 criteria that serve as benchmarks for assessment, namely work discipline, administrative discipline, reliability, maturity and personal integrity, morale, communication and cooperation, adherence to work principles, quantity of work results, quality of work results, and concern for the organization. The purpose of this study was to determine the level of accuracy of the two methods used by using Weka 3.8 tools using performance evaluation data mining Cross Validation 2,5,6 and 10 Fold Validation as a comparison
Authors: Dasmen Rahmat Novrianda , Fikri Muhammad , Rasmila Rasmila , Tritama Habib Elfariz , Aulia Muhammad Rizky , Saputra Kms. M. Okta Agung
Published: February 2025

Kemajuan teknologi memiliki efek positif dan negatif, termasuk peningkatan kemudahan komunikasi dan munculnya cyberbullying, terutama mempengaruhi anak-anak dan remaja. Studi ini menganalisis dampak WhatsApp, alat komunikasi populer di Indonesia, terhadap cyberbullying. Studi ini mengembangkan skenario forensik untuk cyberbullying, dengan fokus pada aplikasi WhatsApp. Para peneliti mengidentifikasi pelaku dan membuat anggota kelompok digital menggunakan flashdisk. Temuan tersebut digunakan untuk meningkatkan desain penelitian, teknik forensik, dan aspek hukum. Studi ini menggunakan alat forensik FlashDisk dan FTK Imager untuk mengidentifikasi gambar cyberbullying. Ini melibatkan pengumpulan, pemeriksaan, dan analisis gambar dengan berbagai ukuran, nama file, dan lebar. Laporan tersebut memberikan analisis dan laporan terperinci tentang temuan tersebut. Studi ini menggunakan data forensik untuk menganalisis gambar cyberbullying di grup obrolan menggunakan FTK Imager. Data dikumpulkan dan dianalisis menggunakan tiga langkah: pengumpulan, pemrosesan, dan penyimpanan. Hasilnya menunjukkan dua gambar cyberbullying menggunakan metodologi NIST, menunjukkan bahwa penelitian lebih lanjut dapat menggunakan metode forensik lainnya.
Analisis Algoritma ALS-MF (Alternating Least Square Matrix Factorization) dengan SVD (Singular Value Decomposition) pada Metode Collaborative Filtering
Authors: Widyasprana Ngakan Putu , Wirawan I Made Widhi , Astawa I Gede Santi , Bayu Atmaja Darmawan I Dewa Made
Published: February 2025

Perkembangan industri game hingga mencapai $175,8 miliar di tahun 2021, memicu kebutuhan akan sistem rekomendasi yang presisi di berbagai platform seperti console, mobile, dan tren yang sedang berkembang seperti e-sport ataupun VR. Collaborative filtering, salah satu metode yang sering digunakan, memiliki kelemahan dalam menangani item baru atau yang belum diberi rating. Penelitian sebelumnya menunjukkan bahwa algoritma Alternating Least Squares (ALS) dapat meningkatkan akurasi sistem rekomendasi pada dataset Goodreads dengan nilai RMSE 0,86 0,88. Selain itu, ALS terbukti lebih unggul dalam perbandingan sistem rekomendasi dengan nilai RMSE 0,641. Berdasarkan hal tersebut, penelitian mengusung metode collaborative filtering dengan algoritma ALS untuk mengatasi kelemahannya, serta meningkatkan akurasi rekomendasi game. Algortima ALS juga dibandingkan dengan sistem dengan menggunakan SVD untuk memberikan komparasi antar algortima. Hasil akhir pada model didapatkan model ALS optimal dengan nilai hyperparameter rank 1, regularisasi 0.1, dan 5 iterasi, metode sklearn split untuk pembagian data, dan skor persentil untuk metode konversi rating. Selain itu ALS juga unggul dibandingkan dengan menggunakan SVD dengan berhasil mencapai nilai Root Mean Squared Error (RMSE) sebesar 1.1142 untuk data uji dan 0.8873 untuk data latih.
Authors: Vidiadivani Wahyu , Suhartana I Ketut Gede , ER Ngurah Agus Sanjaya , Wibawa I Gede Arta
Published: February 2025

This research discusses the implementation of Case-Based and Backward Chaining Reasoning methods in diagnosing Thalassemia Beta. The aim is to increase diagnostic accuracy by using a database of symptoms and cases that have been validated by experts. The system developed aims to help patients and doctors recognize the symptoms of Thalassemia Beta and provide appropriate treatment solutions. The research results show that the method used is capable of producing accurate and efficient diagnoses. This method can also increase the reliability of the diagnosis process by providing appropriate treatment solutions based on existing symptom data. Thus, it is hoped that this system can contribute to improving the quality of care for Thalassemia Beta sufferers.
Keywords: Case-Based Reasoning, Backward Chaining, Thalassemia Beta, Rule-Based Reasoning, Expert System
Implementasi Case Base Reasoning Sebagai Diagnosis Penyakit Kesehatan Mental Pada Data Aplikasi Alodokter
Authors: Supriana I Wayan , Gemilang I Wayan Adhi Surya
Published: February 2025

Kesehatan psikis atau kesehatan mental adalah kondisi di mana seseorang memiliki kesejahteraan yang dapat dilihat dari kemampuannya menyadari potensi diri, menghadapi tekanan kehidupan normal, dan bekerja dengan produktif memanfaatkan semua potensi yang dimiliki. Identifikasi dini kesehatan metal sangat pengting dilakukan, salah satu model yang dapat digunakan adalah Case-Based Reasoning (CBR). CBR pada penelitian ini modelkan proses diagnosa penyakit mental dengan memanfaatkan data yang tersedia dari platform kesehatan digital Alodokter. Alodokter menyediakan informasi medis yang terstruktur, termasuk gejala, riwayat medis, dan diagnosis dari berbagai kasus. Dengan menggunakan pendekatan CBR, sistem secara efisien mencari kasus serupa untuk setiap pasien baru berdasarkan gejala yang dilaporkan. Dengan menggunakan TF-IDF untuk representasi kasus dan K-Means untuk Indexing kasus, hasil dari penelitian ini berupa model Case-Based Reasoning yang dapat mendiagnosis penyakit psikis berdasarkan input user, dengan nilai similaritas sebesar 83%
Authors: Putra Anga Biara I Dewa Gde , Hendra Suputra I Putu Gede , Arya Kadnyanan I Gusti Agung Gede , Arta Wibawa I Gede
Published: February 2025

The advancement of internet technology has drastically changed the way we communicate and share information, enabling the transmission of data in various formats such as audio, video, images, and files. However, this convenience also brings new challenges such as document forgery and the low authenticity of files. This research aims to develop a desktop application-based system capable of verifying the authenticity of digital documents by implementing digital signatures using MAC addresses on the AES-128 and SHA-256 cryptographic algorithms. The system is designed to perform document hashing and encryption processes, store encryption results in a database, and provide key recipients with access for decryption. The results of the research indicate that the system can perform encryption and decryption very well, as evidenced by the successful decryption of ciphertext and the retrieval of the original document verified by the user. Additionally, the system's performance was tested using the avalanche effect method, which showed an average of 50.94%, indicating a high level of security that is difficult for attackers to breach. Black-Box testing involving login, registration, document signing, and document verification scenarios also demonstrated that the system functions according to specifications and can handle core operations effectively. The system's success in ensuring the authenticity and integrity of digital documents provides an effective solution to the growing problem of document forgery in the digital age.
Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures
Authors: Suwirmayanti Ni Luh Gede Pivin , Sentana I Wayan Budi , Darma Putra I Ketut Gede , Sudarma Made , Sukarsa I Made , Budiarta Komang
Published: February 2025

Efforts to preserve Balinese culture can be carried out by integrating art and technology as new steps that need to be developed. This research is motivated by the existence of various forms of God statues which have a central role in Balinese culture. The Deep Learning method is proposed because it has unique features that can be extracted automatically. The technique used in Deep Learning is Convolutional Neural Network (CNN). The training process is first performed to perform the classification process, and then the testing process is performed. We compared our CNN model with two other models, AlexNet and ResNet, based on the experimental results. Using a data split of 70%- 30%, our CNN model has the highest accuracy in managing statue image data. Specifically, our model achieves 97.14% accuracy, while Alexnet and Resnet achieve 24.44% and 33.33%, respectively. Apart from contributing to introducing the Balinese God Statue, this research can also be a basis for developing more comprehensive applications in culture and tourism.
Aspect Based Sentiment Analysis on Shopee Application Reviews Using Support Vector Machine
Authors: Wulandari Dyah Ayu , Bachtiar Fitra A. , Indriati Indriati
Published: February 2025

One of the e-commerce in Indonesia is Shopee. Feedback from users is needed to improve the quality of e-commerce services and user satisfaction. This research process includes data scraping, labeling, text pre-processing, TF-IDF, aspect, and sentiment classification. The novelty of this research is using the SVM method with SGD to classify Indonesian language application reviews based on aspect categories consisting of 7 dimensions of service quality and sentiment so that the website created in this research can display the aspects and sentiments of the input reviews. This research also builds an Indonesian normalization dictionary to optimize the terms used to increase model accuracy. The test in aspect classification resulted in a precision value of 90%, recall of 88.73%, accuracy of 88.57%, and f1-score of 89%. Meanwhile, the sentiment classification resulted in a precision value of 96.15%, recall of 91.91%, accuracy of 94.28%, and f1-score of 93.98%. In addition, the test results (accuracy, f1-score, precision, recall) show that the lemmatization process is better than stemming and term weighting using the TF-IDF method is better than other methods (raw-term frequency, log-frequency weighting, binary-term weighting).
Comparative Analysis of Denoising Techniques for Optimizing EEG Signal Processing
Authors: Udayana I Putu Agus Eka Darma , Sudarma Made , Putra I Ketut Gede Darma , Sukarsa I Made , Jo Minho
Published: February 2025

Electroencephalogram (EEG) is a non-invasive technology that is widely used to record the electrical activity of the brain. However, often the EEG signal is contaminated by noise, including ocular artefacts and muscle activity, which can interfere with accurate analysis and interpretation. This research aims to improve the quality of EEG signals related to concentration by comparing the effectiveness of two denoising methods, namely Independent Component Analysis (ICA) and Principal Component Analysis (PCA). Using commercial EEG headsets, this study recorded Alpha, Beta, Delta, and Theta signals from 20 participants while they performed tasks that required concentration. Evaluation of the effectiveness of the denoising technique is carried out by focusing on changes in standard deviation and calculating the Percentage Residual Difference (PRD) value of the EEG signal before and after denoising. The results show that ICA provides better denoising performance than PCA, as reflected by a significant reduction in standard deviation and a lower PRD value. These results indicate that the ICA method can effectively reduce noise and preserve important information from the original signal.
C2C Startup Model of Balinese Ceremony Ticketing System in Ubud Bali
Authors: Saraswati Ni Wayan Sumartini , Suryawan I Wayan Dharma , Hartono Eddy
Published: February 2025

Ubud is one of the tourist destinations in Bali. Ubud combines natural attractions, culture, and spiritual life harmoniously. One of the elements of cultural attraction in Ubud is the implementation of traditional and religious ceremonies that uphold ancestral customs. With this potential, Ubud can be a tourist destination supporting Balinese cultural tourism's progress. Currently, information regarding the implementation of traditional and religious ceremonies in Ubud is limited to tourists. Tourists can witness the traditional and religious ceremonies held through information from tour guides, who are ceremony organizers. The availability of a ceremony ticketing system that connects tourists with traditional village/banjar communities can directly address the problem of access to information and services for the implementation of traditional and religious ceremonies in Ubud. This study aims to develop a C2C e-commerce model that involves klian adat and tourists directly selling tickets for traditional and religious ceremonies in Singakerta Village, Ubud District. Given the limited time for system development, the RAD software development method was selected as the system development method. The user experience test's Likert scale results showed that the system's quality reached 84.13% for tourist satisfaction and 84.19% for klian adat satisfaction. This indicates that the system is at an excellent level based on the user.