Rescollacomm (E-Journals)
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Training on Tips and Tricks to Avoid Online Scams in the West Java 1 Electoral District
Get PDFThe rise of online fraud has become a pressing issue in today\u27s digital society, affecting individuals and communities across various sectors. This community service initiative aims to increase public awareness and equip participants with effective strategies to avoid falling victim to online scams. The program specifically focuses on addressing common fraud types such as phishing, identity theft, and fraudulent e-commerce activities. The implementation method involved conducting an interactive online training session, leveraging digital platforms to reach a broader audience efficiently. The training included presentations, case studies, and simulations to help participants recognize potential threats and adopt preventive measures. Topics covered ranged from identifying warning signs of fraud, securing personal data, to utilizing cybersecurity tools such as multi-factor authentication and safe browsing practices. The results demonstrated a significant improvement in participants\u27 understanding of online fraud risks and their ability to apply preventive strategies in real-life scenarios. Post-training surveys indicated increased confidence in identifying and avoiding online scams, as well as a commitment to sharing the knowledge with their communities. This initiative highlights the importance of education and technology in combating online fraud and serves as a replicable model for fostering digital safety awareness in diverse communities. The outcomes contribute to creating a more informed and secure digital environment
Design of Chicken Egg Farm based on the IoT in Padamulya Ciamis Village, West Java, Indonesia
Get PDFThe development of smart farming using the Internet of Things (IoT) has significantly improved efficiency in various agricultural sectors, including poultry farming. This community service project aims to design and implement an IoT-based chicken egg farm in Padamulya Ciamis Village, West Java, Indonesia. The system integrates smart sensors and automated controls to monitor environmental parameters such as temperature, humidity, and feed levels, ensuring optimal conditions for egg production. Data collected in real-time will be accessible through a cloud-based platform, allowing farmers to make informed decisions to enhance productivity. This initiative is expected to improve farm efficiency, reduce manual labor, and serve as a model for sustainable poultry farming in rural areas
Ethno-Sciences and the Transformation of Traditional Agricultural Systems in Teluk Bintuni: Between Preservation and Modernization
Get PDFTraditional farming systems are a form of long-term interaction between humans and their environment that manifests ecological and cultural adaptation. This study aims to explore the dynamics between the preservation of local knowledge and the pressures of modernization in the transformation of traditional farming systems of indigenous peoples in Teluk Bintuni, West Papua. Using an ethno-science approach with qualitative-descriptive methods through participatory observation, in-depth interviews, FGDs, and documentation studies in the Moskona, Wamesa, and Sumuri indigenous communities. The results of the study indicate that traditional farming systems are still maintained with high dependence on sago (85%), sweet potatoes (72%), taro (66%), and bananas (54%) as sources of food and cultural identity. The transformation of the farming system does not follow a linear pattern from traditional to modern, but rather creates a hybrid system that selectively combines traditional elements with modern technology. Indigenous peoples are not passive in facing change, but actively negotiate and adapt based on their ecological and cultural interests. The ethno-science approach offers a framework for integrating local knowledge into development planning, without ignoring the ecological and spiritual dimensions of indigenous peoples. Dialogue between local knowledge systems and modern science can produce more adaptive and inclusive agricultural policies, especially in indigenous areas such as Teluk Bintuni that face pressure from natural resource exploitation
Parental Involvement and Its Relationship with High School Students\u27 Learning Achievement: A Comparative Study of Urban and Rural Schools
Get PDFThis study aims to analyze the relationship between parental involvement and academic achievement of high school students by comparing schools in urban and rural areas. A comparative quantitative approach with correlational survey method was employed, involving 100 eleventh-grade students (50 from urban schools and 50 from rural schools). Data were collected through questionnaires measuring parental involvement based on Epstein\u27s theory and documentation of report card scores for academic achievement. Results revealed a significant positive correlation (r = 0.621; p < 0.05) between parental involvement and student academic achievement. Independent Samples T-Test showed a significant difference (p = 0.002) in academic achievement between urban school students (M = 86.20) and rural school students (M = 82.45). Similarly, parental involvement in urban schools demonstrated higher average scores (M = 82.14; SD = 6.43) compared to rural schools (M = 74.88; SD = 7.12). These findings confirm that geographical context influences patterns of parental involvement in education and its impact on academic achievement. This study contributes to educational policy formulation, particularly in developing effective parental involvement strategies tailored to specific school environments, and highlights the importance of collaborative programs between schools and families to address the urban-rural achievement gap
Dynamics of Intergenerational Transmission of Traditional Agricultural Knowledge in the Dayak Kenyah Community: Challenges and Opportunities for Strengthening Ethno-Sciences in the Modern Era
Get PDFIn an era of increasingly rapid modernization, the sustainability of TAK faces serious challenges, ranging from rural-urban migration, formal curricula that ignore local content, and declining interest among the younger generation in agricultural practices based on local wisdom. Using a qualitative ethnographic approach, this study uncovers inheritance patterns, transmission channels, inhibiting factors, and potential for revitalization. The results indicate a generational gap, with elders still maintaining knowledge retention rates above 90%, while younger generations retain only around 25%. Nevertheless, opportunities for revitalization emerge through community initiatives, the integration of TAK into local curricula, and the development of technology-based agroecological entrepreneurship. This study confirms that cross-generational collaboration, policy support that recognizes the value of local knowledge, and the synergy between tradition and innovation are key to TAK\u27s sustainability. Thus, TAK is not only a cultural heritage, but also a strategic resource for food security, biodiversity conservation, and strengthening the ecological identity of indigenous communities in an era of socio-ecological change
Attitudes Toward Marriage and Gender Roles as Predictors of Parenting Sense of Competence in Unmarried Early Adulthood
No full textThis study aims to examine attitudes toward marriage (ATM) and gender roles as predictors of parenting sense of competence (PSOC) among unmarried individuals in early adulthood. A quantitative approach was employed using multiple linear regression analysis. The participants consisted of 97 unmarried early adults. The results showed that attitudes toward marriage (MAS) and gender role attitude (GRA) significantly predicted parenting sense of competence (F(2,94) = 6.272, p = .003). The coefficient of determination (R²) was .118, indicating that the two independent variables accounted for 11.8% of the variance in PSOC. Although the predictive contribution is relatively low, the findings suggest that attitudes toward marriage and gender roles are meaningful factors in shaping parenting competence, even among individuals without direct parenting experience. These results provide valuable insights for educational interventions and parenting preparation programs targeting early adulthood populations
Exploring Differences in Learning Interest Between First-Year and Second-Year Undergraduate Students
Get PDFThis study aims to explore the differences in learning interest between first-year and second-year undergraduate students in a higher education context. Learning interest is a crucial component of student engagement, encompassing emotional responses, attention, participation, and intrinsic motivation. The research employed a quantitative approach using a descriptive comparative design. A total of 301 students from Universitas Ma’soem were selected as respondents through stratified proportional random sampling. Data were collected using a validated questionnaire based on four indicators of student interest and analyzed using JASP software. Descriptive analysis revealed that second-year students demonstrated higher levels of learning interest (M = 93.558, SD = 8.809) compared to first-year students (M = 90.844, SD = 7.572). The data for both groups were normally distributed, as confirmed by the Shapiro–Wilk test. The assumption of homogeneity of variances was met based on Levene’s Test. Further inferential analysis using one-way ANOVA indicated a significant difference in learning interest between the two groups, with F(1,299) = 8.238 and p = 0.004. The findings suggest that students’ learning interest tends to increase as they progress academically, likely due to greater familiarity with learning environments, improved self-regulation, and stronger academic identity. These results imply the need for tailored instructional strategies that consider students’ academic stage. Early interventions for first-year students may be essential to foster engagement, while more complex, autonomous learning experiences may be appropriate for second-year students. This study contributes to a deeper understanding of student engagement dynamics across different academic levels in higher education
Comparative Analysis: Value at Risk (VaR) with Parametric Method, Monte Carlo Simulation, and Historical Simulation of Mining Companies in Indonesia
Get PDFThis study aims to conduct a comparative analysis between three Value at Risk (VaR) calculation methods, namely the Parametric (Variance-Covariance) method, Monte Carlo Simulation, and Historical Simulation, in measuring market risk in mining companies in Indonesia. The mining industry in Indonesia faces the risk of high commodity price volatility, thus requiring an appropriate approach in measuring potential financial losses. This study uses historical stock data from several major mining companies in Indonesia to analyse the difference in results between the three VaR methods. This study found that the smallest VaR value is owned by PTBA company. Along with the level of stability shows that PTBA company is more stable than other companies. This is inversely proportional to the TINS company which has a large VaR value and high volatility
Portofolio Optimization of Mean-Variance Model Using Tabu Search Algorithm with Cardinality Constraints
Get PDFStock investment is increasingly attractive to Indonesians, especially through the IDX30 index, which is known to have high liquidity and solid company fundamentals. In forming an optimal stock portfolio, investors are faced with the challenge of maximizing return and minimizing risk simultaneously. An optimal portfolio is defined as a combination of assets that provides the highest expected return at a certain level of risk, or the lowest risk for the expected level of return. This study aims to form an optimal portfolio on the IDX30 index by considering cardinality constraints, which limit the maximum number of stocks in the portfolio. From 30 IDX30 stocks, 20 stocks were selected based on consistency of existence during the period February 1, 2023 to January 31, 2025. Next, 8 stocks that have positive expected return values are selected, and from these 8, 4 efficient stocks are selected using cardinality constraints. Selection is done with the Tabu Search algorithm, a memory-based metaheuristic optimization method used to find the best solution by avoiding previously explored solutions. The portfolio is formed using the Mean-Variance model, resulting in an allocation of BMRI (30,02%), PTBA (35,18%), INDF (2,48%), and BRPT (32,32%), with an expected return of 0,00207 and a variance of 0,001587
Digital Image Security with AES and Blowfish Double Encryption
Get PDFProtection of digital images is becoming increasingly important with the growing use of images as a medium of information in various fields, particularly in the healthcare sector. Medical images such as Magnetic Resonance Imaging (MRI) contain sensitive information that requires extra security against unauthorized access and data manipulation. This study aims to design and build a digital image security system using a dual encryption approach and authenticity verification based on watermarking. The security process is carried out in two main stages. First, images with text-based watermarks are encrypted using the Advanced Encryption Standard (AES) algorithm to protect their visual content. Second, the AES key is re-encrypted using the Blowfish algorithm to prevent the key from being stored in plaintext, thereby creating an additional layer of protection. The watermark is embedded into the image using the Singular Value Decomposition (SVD) method and is first converted into a hash value using the SHA-256 algorithm, which serves to verify the integrity of the image after decryption. The testing was conducted using the public dataset “Brain Tumor Image Dataset (Semantic Segmentation)” from Kaggle, which consists of brain MRI images in .jpg and .png formats. The system evaluation encompassed functionality, data security, and process efficiency through system function testing, measurement of encrypted data randomness (entropy test), file penetration using OpenSSL, and performance analysis in terms of processing time and file size. The research results show that the system successfully implemented double encryption with a high entropy level (approaching 8.00) and resistance to penetration attacks. In terms of efficiency, the system achieved an average encryption time of 81.35 ms and decryption time of 13.68 ms with minimal file size increase. Integrity testing confirmed that the SVD-SHA256-based watermark remained intact after the encryption-decryption process, enabling verification of image authenticity. The developed system efficiently maintains the confidentiality and authenticity of digital images and can be applied in electronic medical record systems or sensitive digital archives.
Keywords: Digital images, double encryption, AES, Blowfish, SV