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.

An Investigation of the Effects of Mask-Wearing on Confidence Levels of Young People to Middle Age in Bangkok Metropolitan Region

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The COVID-19 pandemic necessitated widespread mask-wearing to prevent disease transmission. Initial studies indicated that 89% of the Thai population wore masks, rising to 96% when mandated. Even after the pandemic, mask-wearing persisted due to factors beyond health concerns. This research examines the phenomenon of “Mask Fishing,” where individuals believe masks enhance their attractiveness, a trend popularized on TikTok. The study explores the psychological impacts of mask-wearing, including increased confidence and reduced self-esteem. Additionally, masks have been found to improve perceived facial attractiveness, particularly enhancing the appearance of eyes. This study investigates these hidden factors, focusing on how mask-wearing affects personal confidence, communication, and facial expressions.

Contribution to the Study of the Chemical and Microstructural Quality of Reinforcing Bars in DR. Congo “Case of the City of Lubumbashi”

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: This research highlights the contribution to the study of the microstructural quality of reinforcing bars on the Lubumbashi market including bars imported from South Africa (FA), Zambia (FZ) and those produced locally ( FC) by the only steel industry, in the former province of Katanga, the iron processing company SOTRAFER, in acronym.

The samples of the locally produced reinforcement bars (FC) were collected at SOTRAFER at the end of production, while the samples of the FA and FZ reinforcement bars were taken randomly on the Lushois market in a hardware store specializing in sales to avoid errors.Microstructural analysis of all bars revealed a similar microstructure consisting of a ferrite (light areas) and pearlite (dark areas) matrix and a ferrito-pearlitic structure. This microstructure, as predicted by the Fe-C equilibrium diagram, could be justified by the carbon content (lower than the eutectoid point content); the results prove that all bars are hypoeutectoid steels (%C ≤ 0.77). They can also be assimilated to the category of mild steels (0.1 ≤ %C ≤ 0.25). This also shows that all the bars have not undergone a particular heat treatment and have been cooled very slowly in order to allow the diffusion of atoms and reach equilibrium conditions. The results obtained from the variance analyses of different materials of dimensions of 10, 12 and 16 mm revealed that at the level of chemical and mechanical analyses, there was no significant difference on all the parameters studied and that all the reinforcement bars could perfectly be used in construction. Finally, the survey reveals that FA is reputed to be of better quality among consumers, for several reasons including the psychological one although its price is lower than that produced locally.