Abstract:Public-private collaboration is a vital strategy in managing sustainable tourism destinations, integrating diverse stakeholders to balance economic growth, environmental sustainability, and social equity. Despite the hospitality…
pitality sector’s key role in tourism governance, research on its collaboration with public institutions, particularly in Makassar, Indonesia, remains limited. This study examines MaxOne Resort and Hotel Makassar to explore the mechanisms, challenges, and outcomes of public-private partnerships (PPPs) in sustainable tourism destination management (STDM). Using a qualitative case study approach, the research employs in-depth interviews, participatory observation, and policy analysis to investigate how MaxOne Resort collaborates with local government and communities to implement sustainability initiatives. The findings reveal that structured mechanisms such as formal agreements, joint projects, and stakeholder committees facilitate sustainable governance. MaxOne Resort actively engages in environmental conservation, community empowerment, and responsible tourism practices, positioning itself as a sustainability model within the hospitality sector. However, regulatory misalignments, funding constraints, and inconsistent stakeholder engagement present significant challenges. The study underscores the relevance of the Penta-Helix framework, highlighting how collaboration among government, private sector, academia, community, and media enhances the legitimacy and effectiveness of sustainability initiatives. This research contributes to the literature by providing a localized analysis of PPPs in Makassar, bridging the gap between theoretical models and practical applications. The findings offer policy recommendations to strengthen stakeholder collaboration, optimize governance structures, and support sustainable tourism development in emerging destinations.
Abstract:The integration of digitalization and Management Information Systems (MIS) has profoundly enhanced human resource efficiency, service quality, and operational effectiveness at Klinik Pratama Bunda Sarini. This study explores…
ores the role of MIS in optimizing workforce management and improving patient-centered care, highlighting both its advantages and the challenges encountered during implementation. Researchers employed a qualitative case study approach, utilizing semi-structured interviews and document analysis to examine HR professionals' experiences with digital transformation. The findings indicate that MIS has streamlined administrative workflows, reduced clerical inefficiencies, and improved real-time data accessibility, facilitating faster decision-making and higher patient satisfaction. However, workforce resistance, digital literacy limitations, and data security concerns created obstacles in the transition process. Structured HR-led training programs and phased implementation strategies effectively addressed these challenges. The study underscores the importance of sustained investment in workforce development, cybersecurity measures, and digital infrastructure to support long-term healthcare digitalization. Future research should evaluate the long-term impact of digital adoption in small-scale healthcare institutions.
Abstract:The digital era has significantly transformed lifestyles, particularly in Indonesia, where computer-mediated communication (CMC) now plays a prominent role in human interactions. In public spaces, individuals often prioritize…
itize their digital devices over engaging with those around them. The rise of the internet generation has integrated media and communication into essential elements of daily life. This study focuses on the analysis of hashtag trends related to general elections, such as #capres2024, #cawapres2024, and #pemilu2024, on Instagram, and their influence on user perceptions. It examines the role of hashtags in CMC practices on Instagram during electoral periods. Through the analysis of seven samples, the study reveals that while certain posts align with the electoral purposes of the hashtags, others use these hashtags for visibility without relevance to the elections. The research underscores Instagram’s potential for reshaping political branding and enhancing voter engagement. It demonstrates that the strategic application of hashtags, combined with high-quality visuals and interactive features, can amplify the visibility and impact of political messaging. By integrating CMC and political branding theories, this study presents a framework for understanding how digital tools can foster a more engaged and informed electorate.
Abstract:This study investigates the role of the internet in bridging language gaps and enhancing English as a Foreign Language (EFL) instruction within Solo's multilingual context. The focus is on how internet resources aid students…
ents in navigating between Bahasa Jawa, Bahasa Indonesia, and English, reflecting the multilingual dynamics of EFL classrooms. Utilizing a qualitative approach, semi-structured interviews were conducted with students from grade XII public senior high schools in Solo, Central Java. The findings reveal that the internet plays a significant role in facilitating language learning by providing access to diverse resources and interactive platforms. It is reported that internet tools help them create more engaging and culturally relevant lessons, which cater to the multilingual backgrounds of the students. Students highlighted that online resources offer immediate feedback, diverse learning materials, and opportunities for practicing English in real-world contexts, which are crucial for mastering a foreign language. Moreover, the study shows that the internet supports students in developing digital literacy skills, which are essential for effective language learning in the 21st century. The use of internet-based learning tools helps students seamlessly transition between languages, enhancing their overall language proficiency and confidence in using English. This research underscores the importance of integrating internet resources in EFL education to address the unique linguistic needs of students in multilingual settings. Future studies should explore the long-term impacts of internet use on language acquisition and its potential integration with traditional teaching methods to create a more holistic and effective EFL learning environment.
Abstract:This study explores the role of rubrics in improving speaking skills among Generation Z students under the Merdeka Curriculum in Indonesia. By leveraging qualitative research methods, specifically in-depth interviews with…
h experienced English language teachers, the study delves into the practical applications, benefits, and challenges of rubric implementation. The findings reveal that rubrics significantly enhance student performance by providing clear, structured, and detailed feedback, aligning with Generation Z's preference for interactive and visually engaging learning experiences. Additionally, the study highlights the compatibility of rubrics with the objectives of the Merdeka Curriculum, emphasizing student independence and creativity. These insights underscore the necessity for educators to adopt and refine rubric-based assessments to meet contemporary educational goals and the unique characteristics of modern learners.
Abstract:This study explores the important role of public relations (PR) in shaping and maintaining PT Surya Sembada's corporate reputation. As a cornerstone of organizational success, reputation serves as a critical asset in a competitive…
ompetitive business landscape. The research utilizes a comprehensive approach of qualitative methods to assess the multifaceted dimensions of the PR strategy implemented by PT Surya Sembada. The investigation begins by examining the theoretical underpinnings of corporate reputation and the evolving landscape of PR practice in the contemporary business environment. It then delves into case-specific analysis, evaluating the effectiveness of PT Surya Sembada's PR initiatives in enhancing brand image, fostering stakeholder relationships, and mitigating potential crises. Key findings highlight the strategic alignment between PR efforts and corporate objectives, emphasizing the role of transparent communication in fostering trust among stakeholders. The study also underscores the impact of digital platforms and social media in shaping public perception, requiring proficient management by PR practitioners. In addition, this research highlights the challenges faced by PT Surya Sembada in maintaining a positive reputation amidst dynamic market conditions. It offers actionable insights to refine PR strategies, emphasizing the importance of adaptability and proactive communication to navigate unexpected challenges. This analysis enhances the understanding of the symbiotic relationship between PR and corporate reputation, offering practical recommendations for PT Surya Sembada and other companies to enhance their reputational resilience in the current business environment.
Abstract:Meat is one of the essential food ingredients in meeting the nutritional needs. The current problem lies in the consumers' lack of knowledge on how to differentiate between pork, beef, goat, and lamb meat. This is because…
e when the meat is already cut, their appearances may seem similar at first glance. Many consumers are unaware of the practice of mixing different types of meat for consumption. One way to classify animal meat is by using image processing. In this research, an image processing system is created to classify meat, specifically pork, beef, goat, and lamb. Support Vector Machine (SVM) is a development of Machine Learning that can be used in classifying images into specific classes. SVM method as a classifier is performed using a confusion matrix. The test results show the highest accuracy value obtained in the class of Goat Meat 91.4%, the highest precision in the class of goat meat 80%, the highest recall in the class of beef 81.3%, and the highest F1-score in the class of beef 0.76.
Abstract:Automatic detection of hate speech and abusive language is crucial for combating online toxicity. This study explores Gaussian Naive Bayes for multi-label classification of hate speech on Indonesian Twitter, including target,…
rget, category, and level. We combined TF-IDF features with contextual BERT embeddings. The model achieved balanced performance for general hate speech and good non-abusive language detection. However, it exhibited limitations with imbalanced data and specific hate speech types. The classifier consistently favored the majority class (non-hateful/non-abusive) across labels, particularly struggling with HS_Gender, HS_Physical, etc. This suggests difficulty detecting less frequent but potentially severe hate speech, likely due to limited training data. Overall accuracy and F1-scores confirm that while Gaussian Naive Bayes is efficient, it lacks robustness for nuanced multi-label classification with imbalanced datasets. This necessitates exploring alternative approaches for effectively detecting specific and less frequent hate speech.
Abstract:This study aims to improve students' academic achievement by implementing the TAI (Team Assisted Individualization) cooperative learning model. The method used is Classroom Action Research (CAR) conducted over two cycles.…
. Each cycle consists of planning, action implementation, observation, and reflection stages. The subjects of this research are third-semester students totaling 32 individuals. Data were collected through observation and tests using observation sheets and test instruments. Data analysis was conducted qualitatively and quantitatively. The results of the study indicate: 1) There is a significant improvement in students' academic performance from the pre-cycle to cycle 2, indicating that the learning model used is effective in enhancing students' understanding and achievement. 2) Changes in teaching strategies successfully increased the average scores and classical mastery percentages, confirming that adjustments in teaching methods have a positive impact on students' learning outcomes. 3) The number of students who have not reached the learning targets decreased from cycle 1 to cycle 2, indicating an improvement in the quality of learning and the success of additional efforts in addressing learning challenges.
Abstract:This research aims to determine how the effect of using the look and say method on learning acheivemnt reading comprehension for class VIII D students of SMPN 1 Konawe. The researcher problems were “Is there any significanct…
icanct effect on students’ English reading comprehension before and after taught by using look and say strategy? And Is there any significant difference on students’ English reading comprehension taught by using look and say strategy and those are not?”. This research uses a type of pre-experimental design research with One Group Pretest-Posttest Design. The subjects of this study were students of class VIII D SMPN 1 Konawe totally was 22 students. Data collection techniques were carried out using tests those are pretest, treatment, and posttest. The data collected were analyzed quantitatively using descriptive statistics and inferential statistics. The researcher used theory of Edhitin (2000) to analyzed the data. The results of quantitative analysis show that the results of descriptive statistical data shows that there are differences in the learning acheivement of students' reading comprehension which are marked by the mean score of students who are in the implementation the pretest was 56,59 while in the posttest the students' average score was 70,91. The results of inferential statistical data show that t test > t table or 6,539 > t table = 2,086 if viewed from the results of the pretest and posttest hypothesis tests it is known that t test > t table or 7,936 > 2.086, it can be concluded that H0 is rejected and Ha is accepted. This means that there is an influence of look and say methode on the reading comprehension learning achievement of class VIII D students of SMPN 1 Konawe.