Abstract:This study examines the utilization of digital technology in counseling services as a response to the transformation of mental health service demands that require flexibility, efficiency, and broad reach. The research problem…
oblem focuses on the extent of e-counseling effectiveness, the level of service accessibility for the community, and the key challenges influencing its implementation. The study employs a qualitative approach using a systematic literature review method of 25 reputable scientific articles published between 2015 and 2025. The synthesis results indicate that e-counseling demonstrates a high level of effectiveness, reflected in service flexibility (92%), client openness (88%), cost efficiency (85%), satisfaction level (81%), and intervention success rate (76%), particularly for mild to moderate cases. The accessibility aspect also shows significant achievements, including ease of access (90%), expanded geographical reach (87%), and reduced social stigma (83%), thereby reinforcing the role of e-counseling as an inclusive alternative solution. Nevertheless, implementation still faces several challenges, such as limitations in nonverbal communication, data security risks, digital inequality, and low technological competence among counselors. The findings conclude that e-counseling is a strategic innovation that is both effective and adaptive; however, it requires adequate infrastructure support, improved digital literacy, and appropriate regulatory frameworks to ensure optimal and sustainable implementation. The novelty of this study lies in its integrative approach, which simultaneously examines effectiveness and accessibility alongside the technical, psychological, and structural factors influencing them, resulting in a more comprehensive analytical framework compared to previous studies that tend to be partial.
Abstract:Indonesian Migrant Workers constitute a labor group that makes a significant contribution to the national economy through remittances, particularly from regions with high migration intensity such as East Nusa Tenggara Province;…
ovince; however, the strong public interest in working abroad is often not accompanied by adequate understanding of safe migration procedures, protection mechanisms, and the rights and obligations of migrant workers. This condition has led to serious problems, including the increasing number of non-procedural migrant workers, deportation cases, and vulnerability to human trafficking crimes, indicating an information and communication gap between migrant worker protection institutions and prospective migrant workers. This study aims to analyze the communication strategies implemented by the Indonesian Migrant Workers Protection Service Center of East Nusa Tenggara Province in enhancing public awareness of migrant workers’ rights. A qualitative approach with a descriptive method was employed to provide an in-depth portrayal of the communication practices carried out by the institution, with data collected through in-depth interviews, observation of socialization activities, and documentation studies. Data analysis was conducted using the interactive model of Miles and Huberman, while the conceptual analytical framework was based on the Shannon–Weaver Two-Way Communication Model to assess message delivery effectiveness, communication channels, message recipients, and feedback mechanisms. The findings indicate that the Indonesian Migrant Workers Protection Service Center of East Nusa Tenggara Province has implemented various communication strategies, including direct community outreach, pre-departure orientation, the use of visual and audio media, and cross-sector collaboration with local governments and community leaders. Although these strategies contribute to increasing public knowledge regarding migration procedures and migrant workers’ rights, their effectiveness remains constrained by low literacy levels, challenging geographical conditions, and weak feedback mechanisms from target communities. The study concludes that strengthening dialogic and participatory communication, simplifying messages to improve comprehensibility, and adapting communication media to local cultural contexts are essential for improving migrant worker protection. The novelty of this study lies in integrating a two-way communication model with the socio-cultural context of East Nusa Tenggara as a basis for formulating more contextual, adaptive, and community-empowering communication strategies for migrant worker protection.
Abstract:This study examines the enforcement of criminal law in relation to the offense of aggravated theft as adjudicated in the District Court Decision of Amlapura No. 60/PID.B/2024/PN Amlapura, wherein the Defendant, Jana alias…
s Tobi, was found legally and convincingly guilty of committing aggravated theft as stipulated under Article 363 paragraph (1) point 4 of the Indonesian Penal Code (KUHP). The objective of this research is to analyze the application of criminal law in the aforementioned case, with a particular focus on two principal legal issues: (1) how law enforcement was implemented in the case in question, and (2) how the judicial decision aligns with the foundational legal principles of justice, legal certainty, and utility. The research employs a normative juridical method with a descriptive-analytical approach, and utilizes both the theory of law enforcement and the theory of criminal acts as the conceptual framework. The findings indicate that all elements of the criminal offense under Article 363 paragraph (1) point 4 of the Penal Code were fulfilled, and that the panel of judges duly considered both aggravating and mitigating factors in a balanced manner. Nonetheless, further analysis reveals that the Defendant’s role in the commission of the offense was more auxiliary in nature, thereby suggesting that the normative application of Article 55 of the Penal Code would have been more appropriate. This misapplication of legal provisions potentially gives rise to substantive injustice and opens the possibility for further legal remedies. The study concludes that although the formal procedures of law enforcement were conducted in accordance with prevailing legal standards, there exists a substantive deficiency in the identification of the perpetrator’s role, which adversely affects the overall fairness of the verdict. The novelty of this research lies in its critical analysis of the accuracy of judicial application of substantive criminal norms and the imperative of rigorous judicial reasoning in sentencing, aimed at reinforcing the integrity and consistency of the Indonesian criminal justice system.
Abstract:Economic growth is a key indicator in assessing a country's ability to sustainably increase the output of goods and services. This study aims to analyze the effect of trade openness (TO) and the interaction between foreign…
gn direct investment (FDI) and political stability (PS) on economic growth in member countries of the Organization of Islamic Cooperation (OIC). The study utilizes panel data from 30 OIC member countries over the period 2005–2023, sourced from the World Bank’s World Development Indicators (WDI). The analytical method employed is panel data regression using the Fixed Effect Model (FEM) to control for individual heterogeneity across countries, as well as Moderated Regression Analysis (MRA) to test the moderating role of PS in the relationship between FDI and economic growth. The estimation results show that both TO and FDI have a positive and significant impact on economic growth. However, the interaction between FDI and PS exhibits a negative and significant effect, which contradicts conventional theoretical expectations that political stability should enhance the positive impact of FDI. These findings suggest that in several OIC countries, despite relatively low political stability, FDI continues to flow in response to economic opportunities, strategic interests, or domestic market appeal. In other words, political instability does not always serve as a major barrier to foreign investment, especially when the economic potential remains high. Moreover, FDI under such conditions may serve as an important instrument to strengthen international economic cooperation, expand production capacity, and drive long-term economic growth. These findings provide strategic implications for the formulation of investment and institutional stability policies in OIC countries.
Abstract:Physics education in schools often faces challenges in terms of student engagement and understanding due to the abstract nature of the concepts and the high analytical skills required. Conventional, non-interactive teaching…
ing approaches tend to be ineffective in addressing these issues. This study aims to evaluate the effectiveness of the Problem Based Learning (PBL) model in enhancing students’ cognitive abilities in learning Physics through a meta-analysis. The PBL model emphasizes student-centered learning, where students are invited to solve real and relevant problems, thus increasing engagement and deeper conceptual understanding. Data were collected from 20 research articles published between 2017 and 2024, which discuss students’ cognitive abilities and the PBL approach. The meta-analysis results show that PBL has a significant effect on improving students’ cognitive abilities in Physics, with 13 articles showing high effect sizes, 3 articles moderate effect sizes, and 4 articles low effect sizes. PBL has proven effective in developing students’ critical, creative, and analytical thinking skills. Additionally, PBL enhances students’ active participation in the learning process and facilitates the understanding and application of Physics concepts in various practical situations. This study asserts that PBL is an effective method for improving students’ cognitive abilities in learning Physics at the high school level, by fostering critical thinking, communication, and practical knowledge application skills. These findings underscore the importance of using innovative learning models such as PBL to advance Physics education and improve student learning outcomes.
Abstract:Health development in Indonesia generally aims to increase awareness, ability and willingness to live healthily for every resident in order to achieve the highest level of health, especially during the Covid-19 pandemic.…
The aim of this research is to determine the influence of knowledge, attitudes and support from health workers on the implementation of health protocols during the Covid-19 pandemic among visitors at Tanjung Pura Hospital, Langkat Regency. The method in this research uses an analytical survey with a cross-sectional approach. The research population was all visitors to Tanjung Pura Regional Hospital in October 2022 with a total sample of 96 people using the Accidental Sampling technique. The data collected was obtained by interviews using a questionnaire. Data analysis used univariate and bivariate analysis. The results of the study showed that knowledge was poor as much as 57.3%, positive attitude was 56.3%, support from health workers was poor as much as 53.1%. The results of bivariate analysis show that the knowledge variable is 0.000, attitude is 0.001, support from health workers is 0.001. So it can be concluded that there is an influence of the variables of knowledge, attitudes and support of health workers on the implementation of health protocols during the Covid-19 pandemic. It is recommended that hospitals implement strict health protocol checks, such as carrying out checks at hospital entrances, making regulations regarding health protocol raids, and imposing sanctions for those who do not comply with health protocols.
Abstract:Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations.…
ctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions.
The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama.
Keywords: motorcycle sales; linear regression; prediction; sales analysis
Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama.
Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan
Abstract:Abstract: Nutritional intake for early childhood is very important, therefore parents must understand more about the fulfillment of nutritional intake for children and be wiser in creating various nutritious foods such as…
s vegetables and fruits. The method used in this research is descriptive analytical qualitative method. This research was conducted in Sukamantri Village, Paseh District, Bandung Regency, which was carried out for 10 days. Respondents in this study were parents who lived in Sukamantri village, especially Mrs. Siti Jenab's family, which amounted to 5 people with the provision that having an early age child was very difficult to eat a balanced nutritional intake such as vegetables and fruits. Based on the results of interviews that have been conducted, it can be concluded that the method of creating food such as fruit and vegetables into nuggets, puddings and others can be very effective in making children like vegetables and fruit more. The purpose of this service is expected to be very helpful for the community in Sukamantri Village, Paseh District, Bandung Regency in choosing balanced nutritional intakes, one of which is by creating food.
Keyword: early childhood; nutrition improvement; vegetable and fruit processing
Abstrak: Asupan gizi untuk anak usia dini sangat penting, oleh karena itu orang tua harus lebih paham akan pemenuhan asupan gizi untuk anak dan lebih bijaksana dalam mengkreasikan aneka makanan yang bergizi seperti sayuran dan buah buahan. Metode yang digunakan dalam penelitian ini adalah metode kualitataif deskriptif analitis Penelitian ini dilakukan di Desa Sukamantri Kecamatan Paseh Kabupaten Bandung, yang dilakukan selama 10 hari. Responden dalam penelitian ini yaitu orang tua yang berada di desa Sukamantri terkhusus keluarga Ibu Siti Jenab yang berjumlah 5 orang dengan ketentuan memiliki anak usia dini yang sangat sulit memakan makanan asupan gizi yang seimbang seperti sayuran dan buah buahan. Berdasarkan hasil wawancara yang telah dilakukan dapat disimpulkan bahwa metode mengkreasikan makanan seperti buah dan sayur menjadi nugget, puding dan lainnya dapat sangat efektif untuk membuat anak lebih menyukai sayur dan buah. Tujuan pengabdian ini diharapkan akan sangat membantu masyarakat di desa Sukamantri Kecamatan Paseh Kabupaten Bandung dalam memilih asupan-asupan gizi yang seimbang salah satunya dengan cara mengkreasikan makanan.
Kata kunci: anak usia dini; perbaikan gizi; pengolahan sayuran dan buah-buahan.
Abstract:Abstract: The development of Artificial Intelligence (AI) in education provides significant opportunities for supporting the development of English teaching materials in elementary schools. However, the wide variety of available…
vailable AI tools makes it difficult for teachers to select the most appropriate tools for their instructional needs. This study aims to analyze and generate recommendations for AI utilization using a Decision Support System (DSS) based on the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP method is used to determine the weight of criteria based on their importance, while the SAW method is applied to rank alternative AI tools. This study involves teachers at SDN 15 Padang Genting in identifying criteria and evaluating alternatives. The results show that the proposed DSS model is capable of generating appropriate AI tool recommendations based on predefined criteria. This approach contributes to more objective and systematic decision-making in utilizing AI for developing English teaching materials in elementary education.
Keywords: analytical hierarchy proces; artificial intelligence; decision support system; simple additive weighting; teaching materials
Abstrak: Perkembangan Artificial Intelligence (AI) dalam pendidikan memberikan peluang dalam penyusunan bahan ajar Bahasa Inggris di sekolah dasar. Namun, banyaknya pilihan tools AI menyebabkan guru mengalami kesulitan dalam menentukan tools yang paling sesuai dengan kebutuhan pembelajaran. Penelitian ini bertujuan untuk menganalisis dan menghasilkan rekomendasi pemanfaatan AI menggunakan Sistem Pendukung Keputusan (SPK) berbasis metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW). Metode AHP digunakan untuk menentukan bobot kriteria berdasarkan tingkat kepentingannya, sedangkan metode SAW digunakan untuk melakukan perangkingan alternatif tools AI. Penelitian ini melibatkan guru di SDN 15 Padang Genting dalam proses identifikasi kriteria dan penilaian alternatif. Hasil penelitian menunjukkan bahwa model SPK mampu menghasilkan rekomendasi tools AI yang sesuai dengan kebutuhan pengguna berdasarkan kriteria yang telah ditentukan. Pendekatan ini memberikan kontribusi dalam mendukung pengambilan keputusan yang lebih objektif dan sistematis dalam pemanfaatan AI untuk penyusunan bahan ajar Bahasa Inggris di sekolah dasar.
Kata kunci: analisis proses hierarki; bahan ajar; kecerdasan buatan; sistem pendukung keputusan; simple additive weighting.
Abstract:Abstract: The growing intensity of cyber attacks, marked by rapid, large-scale, automated, and adaptive execution, requires analytical methods that represent the diversity of network environments, including variations in…
target platforms such as IoT, traditional networks, and hybrid infrastructures. This study compares machine learning models for cyber attack classification under heterogeneous environmental conditions and formulates a conceptual optimization framework based on model performance. Four publicly available benchmark datasets were used, namely UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, and a Kaggle cyber security attacks dataset, comprising approximately 40,000 to over 3.6 million records and 25 to 80 features across IoT, conventional, and mixed network environments. Random Forest, XGBoost, Multilayer Perceptron, and Transformer were implemented within a unified pipeline involving preprocessing, feature selection, and Bayesian Optimization-based hyperparameter tuning. All models achieved F1-score and Cohen's Kappa above 96%, with XGBoost performing best (97.80%, 97.26%), followed by Random Forest (97.78%, 96.96%) and Transformer (97.44%, 96.82%), while MLP scored lowest (96.74%, 96.00%), a gap below one percentage point. Confusion matrix analysis revealed persistent misclassification in minority and overlapping attack classes, informing a proposed adaptive cyber attack simulation optimization framework.
Keywords: cyber attacks; optimization; machine learning; environmental variability.
Abstrak: Meningkatnya intensitas serangan siber yang berlangsung cepat, masif, otomatis, dan adaptif menuntut pendekatan analitis yang merepresentasikan keragaman lingkungan jaringan, termasuk perbedaan karakteristik platform sasaran seperti Internet of Things (IoT), jaringan konvensional, dan infrastruktur hibrida. Penelitian ini membandingkan model machine learning untuk klasifikasi serangan siber pada kondisi lingkungan heterogen, sekaligus menyusun kerangka optimasi konseptual berdasarkan performa model. Empat dataset benchmark publik digunakan, yaitu UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, serta dataset Kaggle cyber security attacks, dengan jumlah data berkisar 40.000 hingga lebih dari 3,6 juta rekaman dan 25 sampai 80 fitur, mewakili lingkungan IoT, konvensional, dan campuran. Random Forest, XGBoost, Multilayer Perceptron, dan Transformer diimplementasikan melalui pipeline terpadu mencakup pra-pemrosesan, seleksi fitur, dan optimasi hyperparameter berbasis Bayesian Optimization. Seluruh model mencapai F1-score dan Cohen's Kappa di atas 96%, dengan XGBoost menunjukkan performa terbaik (97,80%, 97,26%), diikuti Random Forest (97,78%, 96,96%) dan Transformer (97,44%, 96,82%), sementara MLP mencatat skor terendah (96,74%, 96,00%), dengan selisih kurang dari satu poin persentase. Analisis confusion matrix mengungkap misklasifikasi yang konsisten pada kelas minoritas dan serangan dengan karakteristik serupa, yang menjadi dasar kerangka optimasi simulasi serangan siber adaptif yang diusulkan.
Kata kunci: serangan siber; optimasi; machine learning; variabilitas lingkungan