Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:Non-communicable diseases (NCDs) remain a major health problem in Biringkanaya District, Makassar City, with high rates of obesity, hypertension, high cholesterol, and metabolic disorders. These problems are influenced by…
y an unbalanced diet, low consumption of local foods, and a lack of physical activity. The SIPAKATAU (Synergy of Local Food and Physical Activity) programme was designed to address these issues through nutritional education, my plate demonstrations, physical activity, and the use of locally sourced, easily accessible food to the community. The activities were carried out over a month in Paccerakkang and Berua villages, involving 24 participants, health cadres, and the Paccerakkang community health centre. The intervention included pre-tests, interactive education, hands-on practice, physical activity monitoring, and health checks before and after the activities. The results showed an increase in knowledge from 50% to 75% in the good category, increased implementation of My Plate, and 75% of participants had sufficient physical activity. Health indicators showed improvement, particularly in cholesterol (normal levels increased from 1 to 7 individuals) and uric acid (100% normal). Blood sugar levels showed improvement, while blood pressure and nutritional status required longer-term intervention. The SIPAKATAU programme proved effective in improving community nutrition and health behaviours and is recommended as a model for community-based NCD prevention.
Abstract:This study aims to analyze the Implementation of Traffic Engineering Policy: A Case Study of One-Way and U-Turn Systems in Pekanbaru City and identify inhibiting factors in its implementation. The background of this study…
y is based on traffic problems such as congestion and accidents that are increasing along with the growth of motorized vehicles that are not balanced by adequate road infrastructure. The Pekanbaru City Government through the Transportation Agency has implemented various traffic engineering policies, including the one-way system and the closure of U-Turns at certain points. The method used is a qualitative approach with data collection techniques through interviews, observation, and documentation. The results of the study indicate that the implemented policies have had a positive impact, but their implementation still faces obstacles such as lack of public awareness, limited infrastructure, and less than optimal coordination between institutions. This study recommends the need for more massive socialization and increased synergy between institutions to support the successful implementation of traffic engineering policies.
Abstract:The digital technology revolution has catalyzed a fundamental paradigmatic transformation in the global education ecosystem, creating a new era where technology integration has become a strategic imperative in effective…
and sustainable learning management. One of the most disruptive technological innovations that has become the primary focus in educational transformation is Artificial Intelligence (AI), which has demonstrated extraordinary potential in revolutionizing various aspects of learning management through sophisticated adaptive capabilities, deep learning personalization, and comprehensive administrative automation. This research aims to comprehensively and systematically examine the multidimensional role of AI in enhancing the quality of learning management in the digital era, with in-depth analytical focus on three fundamental pillars: strategic learning planning, pedagogical process implementation, and learning outcome evaluation. The research methodology employs a rigorous Systematic Literature Review (SLR) approach, analyzing over 150 high-quality scientific articles from leading national and international journals published between 2014-2024, utilizing a thematic synthesis framework to identify emergent patterns and significant trends in AI implementation in education. Research findings reveal that AI implementation in learning management produces multifaceted transformative impacts, including significant improvements in pedagogical decision-making quality through predictive analytics and data-driven insights, strengthening the strategic role of teachers as adaptive and responsive learning facilitators, and expanding democratic learning accessibility through adaptive learning systems and intelligent tutoring systems technologies. AI has also proven effective in optimizing educational resource allocation, enhancing student engagement through intelligent gamification, and facilitating inclusive and equitable learning.
However, this research also identifies complex challenges that must be addressed in AI implementation, including significant technological infrastructure gaps particularly in remote areas, limitations in educators' digital literacy affecting technology adoption, and ethics and data privacy issues requiring comprehensive regulatory frameworks. The implications of this research emphasize the need for a holistic and structured approach in integrating AI into educational systems, considering technological, pedagogical, and socio-cultural aspects in a balanced manner to achieve sustainable and positively impactful educational transformation.
Abstract:This article examines criticism of the practice of interfaith marriage in the framework of religious moderation in Indonesia over the past fifteen years. Through a qualitative approach with a structured literature study,…
this study evaluates the dynamics of interfaith marriage criticism and its impact on religious moderation practices in society. Data was collected from journals and books published between 2018 and 2023 that discussed the theory of religious moderation and the dynamics of interfaith marriage. The results of the analysis show that criticism of interfaith marriage, while potentially hindering tolerance, also triggers negotiations of religious identity and renewal of the value of moderation. These findings reveal a new understanding that criticism, when articulated in a balanced and objective manner, can encourage the enhancement of intercommunal dialogue and the affirmation of the values of religious moderation. The implications of this research are important in the development of inclusive public policy and religious practices, and are expected to serve as a basis for further research and decision-making in the fields of religious moderation and socio-religious studies.
Abstract:This study aims to analyze the concept of Islamic education from the perspective of tafsir tarbawi based on the thoughts of the Indonesian three prominent Islamic education scholars, namely Ahmad Tafsir, Abuddin Nata, and…
d Muhaimin. The focus of the study is directed toward three main aspects of education: educational goals, educational materials, and educational methods derived from the values of the Qur’an. This research employs a qualitative approach using library research. The data were obtained from primary sources in the form of the works of the examined scholars and secondary sources consisting of books, journal articles, and relevant research findings. Data collection was conducted through documentation, while data analysis employed content analysis with a descriptive-analytical approach. The results indicate that tafsir tarbawi views the goal of Islamic education as an effort to form insan kāmil, characterized by a balanced development of faith, knowledge, and morality. Educational materials are integrative, combining religious knowledge and general knowledge based on Qur’anic values. Meanwhile, educational methods in tafsir tarbawi emphasize humanistic, contextual, and participatory approaches through exemplification, dialogue, storytelling, and habituation. This study affirms that tafsir tarbawi has strong relevance in addressing the challenges of contemporary Islamic education, particularly in strengthening students’ character and moral values.
Abstract:Worship in Islam is not merely the performance of rituals, but also reflects ethical and spiritual values embodied through etiquette. Without etiquette, worship can lose its inner meaning and fail to bring about spiritual…
l and social transformation. Etiquette is a reflection of a deep understanding of the purpose of worship and a servant's closeness to his Lord. It balances the physical and spiritual dimensions, as well as the formal and substantial aspects of every religious practice. This article aims to examine in depth the role of etiquette in perfecting the performance of the five main acts of worship in Islam, namely thaharah, prayer, zakat, fasting, and hajj. This research uses a qualitative descriptive method based on literature review. Data sources include the Qur'an and Hadith of the Prophet SAW, classical literature such as Riyadhus Shalihin and Ihya Ulumuddin, as well as contemporary references such as Tafsir Al-Azhar and scientific studies published in 2020 and beyond. The findings reveal that etiquette plays a crucial role in all forms of worship: purity reinforces both physical and spiritual cleanliness, prayer cultivates spiritual devotion and discipline, zakat instills social awareness and empathy, fasting trains patience and self-control, while the pilgrimage teaches orderliness, humility, and tolerance within the framework of global Islamic interaction. Adab is not merely etiquette but the essence that gives worship meaning and broad impact. Adab also serves as a tool for self-transformation toward becoming an outstanding Muslim in moral, spiritual, and social aspects in the modern era.
Abstract:PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,…
nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%). The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.
Abstract:This research is motivated by the issue of the effectiveness of witness and victim protection within the Indonesian criminal justice system, which is considered not yet to fully reflect the values of restorative justice…
nor to be harmoniously integrated into the framework of the national legal system. Although regulatory frameworks have been established through Law Number 13 of 2006 as amended by Law Number 31 of 2014 concerning the Protection of Witnesses and Victims, as well as various regulations related to whistleblower and justice collaborator protection, their implementation continues to face normative and structural weaknesses. The lack of synchronization between the Criminal Procedure Code (KUHAP), the Draft Criminal Procedure Code (RUU KUHAP), and other sectoral regulations has resulted in the suboptimal role of the Witness and Victim Protection Agency (LPSK) in guaranteeing the rights of witnesses, victims, perpetrator-witnesses, and reporters, particularly in criminal cases with broad and organized impacts. From the perspective of maqāṣid al-syarī‘ah and the Pancasila Justice Theory, legal protection for witnesses and victims should not be merely procedural-formal in nature, but must be directed toward the restoration of dignity, the assurance of security, and the comprehensive protection of human rights. This study aims to analyze the regulatory weaknesses in witness and victim protection from the perspective of the criminal justice system and to reconstruct such regulations based on restorative justice values. Employing a normative legal research paradigm combined with conceptual, statutory, and theoretical approaches, this research positions the Pancasila Justice Theory as the grand theory, the Legal System Theory as the middle theory, and the Legal Protection Theory as the applied theory. The findings indicate that regulatory reconstruction is necessary through strengthening the institutional position of LPSK, harmonizing it with the Draft Criminal Procedure Code (RUU KUHAP), and reinforcing the protection of whistleblowers and justice collaborators in a more comprehensive and non-discriminatory manner. This reconstruction is directed toward establishing a witness and victim protection system oriented toward restoration (restorative justice), balanced interests among the parties, and the realization of social justice as mandated by the values of Pancasila and human rights principles.
Abstract:This study aims to analyze the concept and application of hospital criminal liability in cases of medical malpractice in the Indonesian criminal law system, as well as examine the relationship between the individual responsibility…
onsibility of medical personnel and the responsibility of hospital institutions. This study uses a qualitative approach with case study methods and a juridical-normative approach enriched with empirical data. Data was collected through in-depth interviews with legal practitioners, medical personnel, and hospital managers, accompanied by a documentary study of laws and regulations, court rulings, and related literature. The results of the study show that criminal liability in cases of medical malpractice is generally still focused on individual medical personnel as direct perpetrators, while the accountability of hospital institutions has not been optimally applied in criminal law enforcement practices. In addition, it was found that there is a complex relationship between the professional responsibilities of medical personnel and the institutional obligations of hospitals in ensuring health service standards, including aspects of supervision, risk management, and medical service systems. This study concludes that it is necessary to strengthen the concept of corporate criminal liability for hospitals in cases of medical malpractice in order to create legal certainty and more balanced protection for patients, medical personnel, and health service institutions. The findings of this study contribute to the development of health law studies and become a basis for consideration for policymakers in formulating more effective regulations and law enforcement mechanisms.