Identification and Population Density of Primate Animals in the Stik Jantho Aceh Besar Educational Forest

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Long tail macac (Macac fascicularis) and black langur (Trachypitecus auratus) are two species of primates protected by law. The conservation status of both is listed as vulnerable in the IUCN and appendix II status in CITES. The very sharp population decline in the monkey population is due to declining habitat quality and poaching. The STIK educational forest is a secondary forest, which is disturbed by illegal logging and forest fires. The vegetation that forms the habitat for the lives of kedih and black langur primates in this area is not yet known. There is no data on primates from the kedih and langur groups in the STIK Jantho educational forest. This is the reason why this research is important to be conducted. The purpose of this study was to obtain data on monkeyand black langurs including the number of groups, the number of species, age structure and sex ratio in the STIK Jantho educational forest. Data collection in this study used the transex path method by recording the number of groups, the number of individuals, age structure and sex ratio. Data analysis using Arch GIS 10.1 to determine the distribution of monkey and black langur by plotting each coordinate obtained, using GPS visualized in the form of a map. Determination of the density of kedih and black langur using the formula: P = D x A. Found 2 types of primate animals (Trachypitecus auratus and Macaca fascicularis), each 1 group. The number of Trachyipitecus auratus individuals 10 individuals and Macaca fascicularis 50 individuals. Both species of primate animals are included in the developing age structure and have a complete composition (adult males and females, infant and juveneel. The results are presented in the form of a distribution map of black langur groups, and the population density of kedih and black langur primates, narrated in the form of a research reporthis document.

Cloud-Native Data Science for Edge Computing and IoT Applications

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The use of edge computing and the Internet of Things are now considered essential subcategories of contemporary data systems. There is a new wave of data science application deployment approaches and management modularity, also referred to as cloud-native which caters for the required distribution to edge devices. The factors under consideration in this paper are emerging cloud-native technologies that include containerization, microservices, and the serverless model in data science workflows for edge computing and the Internet of Things. The above insights reveal the effectiveness of using this approach in supporting organizations for data science to create highly generalized, safe, and efficient data systems that meet the demands of edge working settings. Innovative city solutions, health care, and industrial Internet of Things are the important areas examined, and additional prospects and concerns are introduced.

Optimizing Strategy for Property Development Plan Changes: A Multi-Criteria Decision-Making Approach Using AHP Methods (Case Study: Project Bumi Cipta 3 Jakarta)

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This study examines the optimization strategy of property development plan changes for Bumi Cipta 3 Jakarta, a project by PT Cipta Bangun Property, one of the largest property companies in Indonesia. The analysis uses the Analytic Hierarchy Process (AHP), a multi-criteria decision-making (MCDM) method. The project is motivated by significant post-pandemic shifts in office space demand within Jakarta’s Central Business District. The study identifies four alternative development options: continuing with the office tower plan, or pivoting to an apartment, data center, or hospital. By interviewing key decision-makers and using the AHP method, the research evaluates financial and non-financial criteria, such as market attractiveness and site analysis. The findings suggest that the hospital alternative offers the highest potential in both financial returns and market alignment, followed by the data center and apartment projects. Strategic recommendations are provided to prioritize the hospital project while keeping the other alternatives in consideration for phased development, thus ensuring flexibility in response to future market conditions.

Maturity Assessment of Knowledge Management in the Transition of Organizational Transformation at PT Telkom Indonesia (Persero) Tbk

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The telecommunications industry is rapidly and significantly changing due to rising customer demands and digitization. Telecom businesses are exploring new strategies to maintain a competitive advantage. As the biggest telecommunication provider, PT Telkom Indonesia (Persero) Tbk (Telkom) consistently innovates and collaborates to foster a fair digital environment. This drive motivates Telkom to accelerate its transformation and lead Indonesia’s digitalization efforts. During this transformation process, Telkom needs to assess its knowledge management (KM) maturity level. This study will explore Telkom’s KM maturity, highlight gaps, and recommend business solutions. Using a mixed-methods approach, quantitative data were collected from surveys based on the Asian Productivity Organization (APO) framework, while qualitative data were gathered through in-depth interviews. This holistic approach ensures a comprehensive understanding of the key success factors of knowledge management. The research shows that the KM maturity level of Telkom is categorized as the 4th level or refinement level. This level indicates that Telkom’s KM progress aligns with the organization’s vision, mission, objectives, and priorities. However, there is still potential for continuous evaluation and improvement. Based on the data analysis, Telkom can implement several proposed business solutions, informed by 11 key success factors, to enhance the critical programs for organizational transformation.

Integrating The Directed Reading Thinking Activity (DRTA) and The Survey, Question, Read, Recite and Reviews (SQ3R) Strategy to Enhance Students’ Reading Comprehension of Descriptive Text in Senior High School

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This research aims to find out whether there is any significant improvement in students’ reading comprehension after the students were taught through the integrated Directed Reading Thinking Activity (DRTA) and Survey, Question, Read, Recite and Reviews (SQ3R) strategy. This is a quasi-experimental research design that conducts a quantitative method with 30 students as the samples. The students were tested through the reading test before and after the treatment namely the integrated DRTA with SQ3R. The data were statistically analyzed using paired samples t-test through SPSS version 22. The finding shows that there is a significant improvement in students’ reading comprehension after the students are taught using the integrated Directed Reading Thinking Activity (DRTA) and Survey, Question, Read, Recite and Reviews (SQ3R) strategy. The average score in the pre-test is 54.33, while in the post-test, it is 72.53. The sig (2-tailed) is 0.000 which is lower than 0.05. It means that there is a significant difference between the score of pre-test and post-test. Then, it is suggested for teachers to apply this new integrated strategy at class because this is a very good choice to embrace students to the effective steps in answering the questions of reading comprehension. Last, this research could be a reference for further researchers who want to conduct similar researches.

Distance Learning and Challenges of Technologies by Students in Uganda

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This study was conducted to examine the challenges students face in Uganda when it comes to distance learning. Uganda is a developing country and this has put a strain on the resources available to students in terms of access to technology. Therefore, this study looks to understand the challenges that students in Uganda have experienced in the shift to distance learning and the strategies that students have used to cope. A non-probability sampling technique of snowball was used to identify initial participants who meet the research criteria. In all, thirty (30) students across all levels of education in Kampala district were selected. The results showed that the majority of students reported experiencing some form of challenges related to distance learning. The most commonly reported challenges were technical problems with the learning platform and lack of access to the internet. The results of this study can inform policy decisions to better equip students and teachers for effective teaching-learning program across various educational institutions.

Utilization of Nutrition and Performance of Local Male Goats Given Concentrate Containing Fermented Cow Rumen Content Waste

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The aim of the research was to determine the effect of feeding concentrates containing fermented cow rumen waste on the consumption and digestibility of dry matter, organic matter, nitrogen, NDF and ADF of local male goats. This research was conducted for 5 months using 20 local male goats aged 8-10 months with an average body weight of 11.71 kg and CV 12%. This experimental research used a completely randomized design with 4 treatments and 5 replications. The treatment is as follows P0: Kume grass 70% + concentrate 30% (without fermented cow rumen contents); P10: kume grass 70% + concentrate 30% (concentrate contains fermented cow rumen contents); P20: kume grass 70% + concentrate 30% (concentrate contains 20% contents of fermented cow  rumen); P30: kume grass 70% + concentrate 30% (concentrate contains 30% contents of fermented cow rumen). The results of the variance analysis showed that the treatment had no significant effect of p>0.05 on the consumption and digestibility of dry matter, organic matter, nitrogen, NDF and ADF in local male goats. The conclusion of this research is that concentrate supplementation containing fermented cow rumen waste up to a level of 30% gives relatively the same effect between each treatment on the consumption and digestibility of dry matter, organic matter, nitrogen, NDF and ADF of local male goats.

Integrating Theatre into STEM Curricula: A Case Study of Pedagogical Innovation in Underprivileged Schools

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This study explores the effects of theatrical integration on student engagement, creativity, and critical thinking in STEM teaching in poor schools. There are still gaps in research and real-world application of multidisciplinary education, especially in developing nations, despite its increasing prominence. Using a mixed-methods approach, this study assesses the efficacy of integrated STEM and theatrical workshops by means of teacher surveys and classroom observations. Results show that these seminars greatly increase students’ interest in STEM fields and develop critical abilities like communication and collaboration. The partnership between educators and community partners emphasizes the necessity of designing curricula that are flexible and meet the requirements of a wide range of students. With the goal of addressing educational disparities and enhancing learning outcomes for marginalized kids, policymakers and educators can benefit from the insights provided by this study, which adds to the body of knowledge on creative pedagogical approaches.

Advancements in Digital Forensics: A Quantitative Analysis of Cell Tower Triangulation Techniques

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This study delves into the accuracy and reliability of Cell Tower Triangulation (CTT) in digital forensics, employing a diverse sample of mobile devices across various real-world scenarios—criminal investigations, missing persons, and corporate security breaches. By simulating these situations, the research aims to provide a comprehensive understanding of CTT’s effectiveness in urban and rural settings. Data was meticulously collected on signal strength, tower locations, and timestamps, and analyzed using statistical methods to assess CTT accuracy and reliability. Findings from descriptive statistics, comparative analyses, precision metrics, and correlation analyses reveal significant insights into CTT’s application in digital forensics. Despite certain limitations in precision, indicated by the variability in virtual triangle sizes, the study underscores the potential of CTT in supporting investigations while also highlighting the importance of ethical considerations and legal compliance. This research contributes to the advancement of digital forensics, offering a nuanced understanding of CTT’s capabilities and limitations.

Revolutionizing DevOps Security: AI and ML-Enabled Automated Testing Approaches

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In modern DevOps environments, the integration of security practices poses significant challenges due to the fast-paced nature of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Traditional security testing methods are usually too slow and reactive to address vulnerabilities effectively in such dynamic settings. To overcome these challenges, organizations are increasingly adopting automated security testing solutions that leverage Artificial Intelligence (AI) and Machine Learning (ML). This paper discusses AI and ML capabilities in automating security testing during DevOps. It talks about how these technologies can improve security by enabling real-time threat detection, reducing false positives, and adapting to new vulnerabilities through continuous learning. Key AI/ML-based tools and techniques, along with their integration into DevOps workflows, are also discussed in detail. It also covers the integration challenges and the potential of AI/ ML in security testing in the coming years.