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:The advancement of information technology has accelerated digital transformation in healthcare, particularly through the implementation of Electronic Medical Records (EMRs). However, many healthcare facilities still use…
hybrid systems that combine manual and digital record-keeping without proper integration, resulting in inefficient patient data management. This study aims to develop an integrated hybrid Electronic Medical Record system at Damai Clinic to improve healthcare services and patient data management. A descriptive research method with a system development approach was employed through system analysis, problem identification, and system design. The results indicate that the proposed system successfully integrates patient registration, medical examination, pharmacy services, payment, and reporting into a single system. The hybrid implementation allows paper-based records to remain as supporting archives while electronic records become the primary source of patient information. The developed system is expected to improve service efficiency, reduce documentation errors, enhance data security, and support digital transformation in healthcare facilities.
Abstract:Emas merupakan salah satu jenis komoditi yang paling banyak diminati untuk tujuan investasi, karena dipandang sebagai instrumen yang lebih aman dibandingkan saham serta memiliki nilai jual yang selalu bergerak mengikuti…
kondisi pasar. PT Victoeria Vici, sebagai pelaku usaha perhiasan emas custom, menghadapi kendala dalam menentukan estimasi harga jual kepada pelanggan, sebab proses pengerjaan pesanan custom membutuhkan waktu hingga 14 hari, sementara harga emas bergerak fluktuatif dan tidak terstruktur setiap harinya sehingga estimasi harga menjadi tidak akurat dan tidak efektif. Berdasarkan permasalahan tersebut, penelitian ini menerapkan konsep Data Mining dengan algoritma Trend Moment untuk mengestimasi harga emas pada rentang waktu tertentu. Data yang digunakan merupakan data historis harga emas per gram pada PT Victoeria Vici periode Agustus–Oktober 2021 sebanyak 92 data. Tahapan penelitian meliputi pengumpulan data, penentuan variabel X dan Y, eliminasi untuk memperoleh nilai konstanta a dan slope b, serta penerapan persamaan Y = a + bX untuk memperoleh nilai estimasi. Hasil perhitungan menunjukkan nilai a = 720.871,725 dan b = 3,108 sehingga model estimasi mampu menghasilkan proyeksi harga emas yang mendekati pola data historis. Model ini kemudian diimplementasikan ke dalam aplikasi berbasis desktop menggunakan Microsoft Visual Basic 2010 dan basis data Microsoft Access, dilengkapi Crystal Report untuk pencetakan laporan hasil estimasi. Hasil penelitian menunjukkan bahwa algoritma Trend Moment dapat membantu PT Victoeria Vici dalam memperoleh estimasi harga emas secara lebih cepat, konsisten, dan terdokumentasi.
Gold is one of the most sought-after commodities for investment purposes, as it is regarded as a safer instrument compared to stocks and has a selling value that constantly fluctuates with market conditions. PT Victoeria Vici, a custom gold jewelry business, faces difficulty in determining the estimated selling price offered to customers because the production process for custom orders takes up to 14 days, while gold prices move in an unstructured and fluctuating manner every day, making manual price estimation inaccurate and ineffective. Based on this problem, this study applies the concept of Data Mining using the Trend Moment algorithm to estimate gold prices over a certain period of time. The data used is historical daily gold price data per gram from PT Victoeria Vici for the period of August–October 2021, consisting of 92 records. The research stages include data collection, determination of the X and Y variables, elimination to obtain the constant value a and the slope b, and the application of the equation Y = a + bX to obtain the estimated value. The calculation results show a value of a = 720,871.725 and b = 3.108, so that the estimation model is able to produce gold price projections that closely follow the pattern of historical data. This model was then implemented into a desktop-based application using Microsoft Visual Basic 2010 and a Microsoft Access database, equipped with Crystal Report for printing estimation result reports. The results show that the Trend Moment algorithm can help PT Victoeria Vici obtain gold price estimations more quickly, consistently, and in a well-documented manner.
Abstract:Sports-related minor injuries are common occurrences in school-based physical education activities, yet literacy regarding appropriate first aid management remains limited among teachers and students. This community service…
ice program aimed to improve knowledge, skills, and preparedness in managing minor sports injuries through a digital-based educational intervention entitled Smart Recovery. The program was implemented among junior high school (SMP) teachers and students in Banyumas Regency, Indonesia, using a participatory and technology-integrated approach. Activities consisted of program socialization, theoretical and practical training on minor injury management based on the RICE principle (Rest, Ice, Compression, Elevation), and the pilot implementation of the Smart Recovery digital application. Program effectiveness was evaluated using pre-test and post-test assessments, practical skill observations, and user feedback questionnaires. The results demonstrated a substantial improvement in participants’ knowledge, with average scores increasing from 62.4 to 88.6, and 95% of participants successfully performing the RICE procedures correctly after training. Furthermore, 92% of users reported that the digital application facilitated their understanding of injury management, while 87% perceived the platform as user-friendly and applicable for physical education learning. The integration of hands-on training and digital learning media proved effective in enhancing sports injury literacy, digital competence, and safety awareness in school settings. These findings indicate that the Smart Recovery program has strong potential as a sustainable and scalable model for promoting sports safety education within junior high schools.
Keywords : minor sports injury; RICE method; digital learning; Smart Recovery; physical education
Abstract:Strengthening the financial administration capacity of cooperatives is a crucial element in supporting the sustainability and accountability of cooperative institutions in Indonesia. This community service activity aims…
to improve the understanding and skills of cooperative administrators in financial administration through a hybrid Pelatihan (online and offline). This program aligns with the government's "Red and White Cooperative" initiative, which promotes digitalization and professional cooperative governance. The Pelatihan was conducted using a participatory approach involving lecturers, students, and cooperative actors. Results showed an increase in participants' understanding of transaction recording, the preparation of simple financial reports, and the importance of transparency in cooperative fund management. Technical challenges in the hybrid implementation can be overcome with active mentoring and the use of appropriate digital platforms. This activity demonstrates that the hybrid approach can reach a wider audience and is effective in transferring knowledge
Abstract:A The phenomenon of adolescents lacking independence has attracted the attention of many parties, particularly within the school and family environments. For instance, many teachers and parents report that junior high school…
hool students still rely on their parents for simple matters, such as preparing school supplies, arranging study schedules, and even choosing extracurricular activities. On the other hand, there are also adolescents who demonstrate a high level of independence because they are accustomed to making their own decisions at home. This research uses a quantitative method with purposive sampling as the sampling technique. The subjects involved in this study consist of 100 early adolescents from Bandar Lampung. The reliability of the independence scale was 0.781 and the parental bonding scale was 0.725. This is shown by the correlation coefficient value of R = 0.347 and R² = 0.120, with a significance level of p < .001.
Abstract:The Family Support Team is a group of support staff in the sub-district/village/nagari consisting of Midwives, PKK Team Cadres and KB Cadres in providing support to prospective brides/prospective fertile couples, pregnant…
t women, postpartum mothers, and children aged 0-59 months, providing counseling, facilitating referral services, receiving social assistance and surveillance of families at risk of stunting. Stunting is a growth and development disorder characterized by a child's height that is not appropriate for their age. This study aims to analyze the performance of the family support team in an effort to reduce the incidence of stunting and the factors that influence the performance of the family support team. This study uses a qualitative method using a purposive sampling technique with 38 informants, through interviews, focus group discussions, observations and document reviews. The results of the study revealed that the indicators of the quality and quantity of TPK work in West Sumatra Province that were not in accordance with expectations were neatness, success capability, speed, work results, facilities and infrastructure and coordination between agencies where reports were not in accordance with the existing family system data in the BKKBN application caused by the lack of TPK knowledge in using the elsimil application and four indicators of the national sensitive intervention program were not achieved from the predetermined targets and the increase in stunting cases. Factors that influence TPK performance are the support and commitment of the government and the community, the existence of programs that have a direct impact on the community and, socialization that changes community behavior to care about stunting prevention programs, strengthening the competence of TPK cadres, strengthening convergence and multi-stakeholder involvement, integrated monitoring and evaluation and utilization of stunting risk family data in handling stunting cases.
Abstract:This study explores the dynamics of corporate crisis communication in the digital age, with a particular focus on the role of social media platforms in shaping organizational strategies. Using a qualitative approach and…
library research method, the research systematically reviews academic literature, industry reports, and documented case studies to understand how corporations respond to crises in a hyper-connected environment. The study highlights how traditional theories such as Situational Crisis Communication Theory (SCCT) and Image Repair Theory (IRT) must be adapted to meet the demands of real-time, interactive, and ethically sensitive digital spaces. Through comparative analysis of successful and failed crisis responses—including global cases such as United Airlines and local cases such as Tokopedia—the research reveals that timely, transparent, and empathetic communication on social media significantly influences public perception and corporate reputation recovery. The findings emphasize that a well-designed digital crisis strategy must integrate technical responsiveness with human-centric values to restore trust and sustain long-term relationships with stakeholders.
Keywords : crisis communication, corporate strategy, social media, digital reputation
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:The development of Rempang Island through the Rempang Eco-City project has become one of Indonesia’s strategic initiatives to promote investment, industrialization, and regional economic growth in coastal areas. While the…
the project is expected to strengthen economic competitiveness and attract large-scale investment, its implementation has generated significant social, environmental, and governance challenges. Existing studies on Rempang have primarily focused on land disputes, relocation issues, and agrarian conflicts, with limited attention given to disaster risk governance and socio-ecological vulnerability perspectives. This study aims to analyze the development of Rempang Island through the lens of Disaster Risk Governance (DRG) and socio-ecological vulnerability to understand how development policies, environmental change, and governance arrangements interact in shaping risks within coastal regions. This study employs a qualitative approach using literature review and policy analysis. Data were collected from government regulations, official reports, public policy documents, human rights reports, academic publications, and other credible secondary sources. The analytical framework integrates disaster risk governance, socio-ecological vulnerability, and public policy theories. The findings indicate that the Rempang conflict should not be understood solely as an agrarian dispute or community resistance to relocation. Instead, it reflects broader governance challenges associated with integrating disaster risk considerations into coastal development policies. The project has the potential to generate socio-ecological vulnerabilities related to land tenure uncertainty, livelihood transformation, cultural identity concerns, environmental pressures, and limited stakeholder participation. The study argues that sustainable coastal development depends not only on economic investment but also on the capacity of governance systems to manage emerging risks through collaborative, adaptive, and inclusive approaches. The article contributes to the literature by positioning the Rempang case as a governance-of-risk issue and highlighting the need to integrate economic development, environmental sustainability, and disaster risk reduction within coastal governance frameworks.