ARMADA : Jurnal Penelitian Multidisiplin

Penggunaan Metode Direction Finder Triangulation Untuk Mempermudah Komunitas Radio Dalam Melacak Posisi Sinyal Radio

2025-12-20T17:52:12+00:00

Direction Finder Triangulation is a method used to track the position of a radio signal source by utilizing a receiver equipped with directional antenna, requiring at least two refence sites. This method can assist radio communities such as The Indonesian Amateur Radio Organization (ORARI) in locationg radio signals, particularly during Fox Hunting activities. This paper aims to understand how the Direction Finder Triangulation method is use and to identify the parameters that influence the accuracy. The research applies the Direction Finder Triangulation method using several tools, including two Handy Talky as transmitter-receiver, 3 element Yagi Antenna for signal tracking, and Avenza Maps for measurement and mapping of angle points at each reference location. The research was conducted around Tanjungpura University area and involved 10 trials at distances ranging from an initial 100 meters to final 1000 meters. The results show that the accuracy of the Direction Finder Triangulation method exceeds 90%, with the lowest accuracy recorded at 91.30% and the highest at 99.72%. The farther the distance between transmitter and receiver, the weaker received signal strength becomes, and weaker signal strength leads to reduced accuracy. Direction Finder Triangulation method can facilitate radio communities in tracking radio signal positions and can also be used to locate illegaly operating transmitters.

Influence of Technology-Enhanced Physics Instruction on Academic Performance of High School Students in Anambra State, Nigeria

2025-12-27T15:07:04+00:00

The persistent decline in students' academic performance in physics has become a major concern in secondary education systems across developing countries, including Nigeria. Conventional teaching methods, characterized by teacher-centered instruction and limited instructional resources, have been identified as key contributors to this challenge. This study examined the influence of technology-enhanced physics instruction on the academic performance of high school students in Anambra State, Nigeria. A quasi-experimental pretest–posttest control group design was adopted. A total of 180 senior secondary school II students were selected using a multistage sampling technique and assigned to experimental and control groups. The experimental group was taught selected physics concepts using technology-enhanced instructional strategies, including computer simulations, multimedia presentations, and virtual experiments, while the control group received conventional lecture-based instruction. Data were collected using a validated Physics Achievement Test (PAT), and analysis was conducted using descriptive statistics and Analysis of Covariance (ANCOVA). The results revealed a statistically significant difference in academic performance between students exposed to technology-enhanced instruction and those taught using traditional methods (p < 0.05). Students in the experimental group demonstrated superior achievement scores, indicating that technology-enhanced physics instruction significantly improved learning outcomes. The findings highlight the pedagogical value of integrating digital technologies into physics classrooms to enhance student engagement and academic achievement. The study concludes that technology-enhanced instruction is an effective approach for improving physics education in Nigerian secondary schools and recommends sustained investment in digital infrastructure and teacher professional development.

The Relationship between Interpersonal Communication, Empathy, and Happiness among Secondary School Students in Villavicencio, Chile

2025-12-29T07:01:48+00:00

Adolescence is a critical developmental period in which social interactions play a fundamental role in shaping emotional well-being. This study investigates the relationship between interpersonal communication, empathy, and happiness among secondary school students in Villavicencio, Chile. Drawing on a quantitative correlational design, data were collected from students enrolled in public and private high schools using validated self-report questionnaires measuring interpersonal communication skills, empathy, and subjective happiness. Descriptive statistics, Pearson correlation analysis, and multiple regression were employed to examine the relationships among variables. The findings reveal that interpersonal communication and empathy are positively and significantly correlated with students’ happiness. Interpersonal communication showed a strong association with empathy, indicating that effective communication skills facilitate greater emotional understanding and responsiveness toward others. Regression analysis further demonstrated that both interpersonal communication and empathy significantly predicted happiness, with empathy partially mediating the relationship between communication and well-being. These results suggest that adolescents’ happiness is closely linked to their capacity to communicate effectively and to engage empathetically within their social environment. The study contributes to the growing body of literature on social-emotional development in education by providing empirical evidence from a Latin American context, which remains underrepresented in existing research. Practically, the findings highlight the importance of integrating social-emotional learning programs into secondary education to foster communication skills and empathy as key determinants of student well-being. Despite its contributions, the study is limited by its cross-sectional design and reliance on self-report measures. Future research is encouraged to employ longitudinal and intervention-based approaches to further explore causal mechanisms and practical applications in diverse educational settings.

Integrating Blockchain and Machine Learning for Predictive Cyber Defense Systems

2025-12-29T07:17:54+00:00

The rapid expansion of cyber threats targeting critical infrastructures highlights the limitations of traditional centralized security systems, which suffer from latency, scalability constraints, and single points of failure. This study addresses this problem by examining how the integration of Blockchain and Machine Learning (ML) can strengthen predictive cyber defense and enhance real-time anomaly detection. The purpose of the research is to synthesize current evidence on the security, efficiency, and operational benefits of Blockchain–ML frameworks through a Systematic Literature Review (SLR). Following PRISMA guidelines, a structured search was conducted across four major databases IEEE Xplore, ScienceDirect, Scopus, and Web of Science covering peer-reviewed literature published between 2020 and 2025. Using a four-category keyword strategy, the review initially identified 1100 records, ultimately narrowing the final dataset to 25 studies that met all inclusion criteria. The results indicate that Blockchain significantly enhances data integrity, auditability, and threat-intelligence reliability, while ML improves predictive accuracy and supports real-time detection. Together, these technologies outperform conventional centralized systems in terms of transparency, resilience, and operational efficiency. The study concludes that Blockchain–ML integration provides a robust foundation for next-generation, decentralized cybersecurity architectures, offering measurable improvements in security and system performance.

Analisis Debit Drainase Sungai Jawi Dalam Satu Periode Pasang Surut

2025-12-20T17:55:20+00:00

Sungai Jawi Drainage is one of the drainages in Pontianak City. This drainage has a function as an estuary for the surrounding ditches. In addition, Sungai Jawi drainage also has a function as a recreational facility for the surrounding community. Previous research that has been conducted shows that the discharge in the Sungai Jawi drainage is no more than 5 m3 /second. However, measurements were only taken at certain times. In this study, discharge measurements will be carried out for 26 hours or during one period of high and low tide. The discharge measurement method refers to SNI 8066:2015. The measurement results will be loaded into a graph to analyze how the dynamics of the discharge change over a measurement time interval of two hours.