Problem-solving Techniques Research Articles

To Elevate the Preparation of Students for Placement by Developing a Website

Abstract: Comprehensive platform designed to assist students and job seekers in achieving success in placement processes. Our website offers a diverse array of resources, tools, and guidance necessary to excel in various stages of placement, including aptitude tests, technical interviews, group discussions, and personal interviews. Users can access a wealth of study materials tailored to different industries and job roles, including aptitude test questions, programming exercises, case studies, and interview tips. Our extensive library of mock tests provides realistic simulations of placement exams, accompanied by detailed feedback and performance analysis to help users identify strengths and areas for improvement. Additionally, our expert-curated resources on interview preparation cover both technical and HR aspects, offering insight into commonly asked questions, sample answers, and strategies for handling challenging scenarios. The platform also features interactive learning modules and video tutorials on essential topics such as communication skills, problem-solving techniques, and career development strategies.

Intensive Listening and Cutting-Edge Strategies Unlock Language Mastery

The primary objective of this research study is to examine the implications of intensive listening techniques on language acquisition and comprehension skills. The Research examines different methods, resources, and technology applications supporting successful language acquisition. The theoretical framework includes Krashen's Input Hypothesis and the Comprehensible Output Hypothesis, emphasising the crucial importance of authentic language input. Various platforms, such as podcasts, YouTube, and ELA resources, are crucial for establishing captivating and immersive language environments. There is a strong emphasis on the responsible integration of AI and technology in education, focusing on ensuring fairness and transparency. Implementing metacognitive strategies, problem-solving techniques, and learner autonomy are fundamental to successful intensive listening practices. Additionally, the study recognises the impact of native languages on language acquisition and considers educators' diverse responsibilities in promoting oral proficiency. The Research has identified several promising areas for further investigation, including neurocognitive correlates, intercultural communication, motivation, and technology integration. The study provides practical insights that can assist educators, curriculum developers, and language learning programs in creating engaging and genuine listening activities that promote linguistic proficiency and effective communication.

THE DEVELOPMENT OF MATHEMATICS LEARNING ACHIEVEMENT ON THE TOPIC OF SOLVING QUADRATIC FUNCTION GRAPHS OF MATHAYOM 3 STUDENTS BY USING THE GEOGEBRA PROGRAM TOGETHER WITH POLYA'S PROBLEM SOLVING PROCESS

This research used GeoGebra program and organized learning management activities in accordance with Polya’s problem-solving process to develop mathematical learning achievement by solving problems in quadratic function graphs. With the help of GeoGebra program and step-by-step practice of problem-solving techniques using Polya’s problem-solving process, the aforementioned learning management system increases students' enthusiasm and interest in learning about graphs. Consequently, it encourages students to comprehend the knowledge of quadratic function graphs in mathematics efficiently, gain a more thorough comprehension of them, and develop their skills in solving problems. The target group used in the research is 14 Mathayom 3 students studying in the first semester of the academic year 2023 at Chumchonyodkaengsongkhro School, Namon District, Kalasin Province, which obtained purposive random sampling. The tools used in the research were lesson plans using GeoGebra with Polya’s problem-solving process, learning achievement tests, and a satisfaction questionnaire. The statistics used in the data analysis include mean (x̄), standard deviation (SD), percentage, and t-test statistics. The results of the research found that: 1) the results of the efficiency of the lesson plans using GeoGebra program with Polya’s problem solving process are equal to 73.75/74.64, which is higher than with the specified criteria, 2) The post-test scores’ learning achievement using GeoGebra with Polya's problem-solving process was higher than the pre-test scores using GeoGebra with Polya's problem-solving process, with statistical significance at the .05 level, and 3) the satisfaction of students with learning management using GeoGebra program with Polya’s problem-solving process is at a high level with an average of 4.31 and a standard deviation of 0.81.

Improving Students’ Critical Thinking Skills Using Guided Inquiry with Problem-Solving Process

High-level thinking skills known as critical thinking are deemed essential for students in the contemporary era to equip them for the challenges ahead. However, current research suggests that students’ proficiency in critical thinking remains relatively insufficient. This research endeavors to explore how the application of guided inquiry combined with problem-solving techniques influences the critical thinking abilities of 11th-grade students. Carried out in a public high school situated in Jakarta, Indonesia, this quantitative study involved seventy-two students chosen as participants. Employing a quasi-experimental approach, two intact classes were enlisted and randomly assigned as either the experimental group (n=36) or the control group (n=36). Data were collected through an essay test assessing critical thinking skills and were subsequently analyzed using independent and paired sample t-tests. Results revealed a positive impact of guided inquiry supplemented with problem-solving techniques on students’ critical thinking capabilities. Consequently, it can be deduced that this instructional method effectively enhances students’ critical thinking skills. The findings recommend educators adopt guided inquiry coupled with problem-solving strategies to cultivate students’ critical thinking abilities to a satisfactory level.

IMPLEMENTASI MODEL BIMBINGAN TEMAN SEBAYA UNTUK MENINGKATKAN KEPERCAYAAN DIRI (TEKNIK PROBLEM SOLVING DALAM PENENTUAN KARIR PADA SISWA KELAS XII MAS HIDAYATUL INSAN)

Self-confidence in determining one's career is something that often happens and is commonly discussed. Self-confidence is the ability to convince oneself of one's own abilities or the ability to develop positive values, either for oneself or for others. One of the teenage problems that often arise at this time is one related to career determination. Career determination is also influenced by whether or not a person's level of self-confidence is high. This study aims to look at the effect of peer relationships on self-confidence. The role of peers is to provide input in the form of instructions, reprimands, and directions. This study also aims to see the results of the application of peer guidance models to increase self-confidence using problem-solving techniques in determining student careers at MAS Hidayatul Insan Fi Ta'limiddin. This research is a combination of quantitative and qualitative (mixed methods). Qualitative data was obtained from interviews and observations, while quantitative data was obtained from questionnaires. From the results of the first questionnaire (pre-test), it can be seen that there are still many students who do not have a strong level of self-confidence and have not been able to determine their career planning. Furthermore, peer guidance is carried out in order to increase self-confidence and career determination. Based on the results (post-test) about self-confidence in determining students' careers that have been carried out, the results show that the majority have understood the guidance model that has been applied. So the results showed that based on the questionnaire that had been obtained, it was found that there was a low level of confidence in determining a career and experienced a significant increase in self-confidence after being given counseling guidance services in the form of treatment.

Examining students’ problem-solving approaches in organic chemistry and its impact on performance and learning

This research paper examines the intricacies of problem-solving (PS) in organic chemistry (OC), exploring the internal and external factors that influence students’ success in this demanding discipline. Data was collected through a questionnaire administered to 128 City College of New York students during Spring and Fall semesters of 2022. The study revealed that students face challenges learning OC, which include memorization, understanding underlying concepts, and effective PS. Notably, there is a gap between students’ professed beliefs about effective PS strategies and their actual practices. While students acknowledge the importance of techniques such as annotation, trial and error, and questioning, they inconsistently apply these strategies in practice. Annotation emerged as a valuable tool, enabling students to externalize complex thought processes and reduce reliance on memorization. Trial and error, coupled with exposure to expert PS techniques, proved effective. The role of confidence in PS was highlighted, and the need to balance memorization of reactions and rules such as naming with a profound understanding of OC concepts was emphasized. Resonance as a justification for answers underscored the importance of understanding and applying principles rather than relying solely on memorization. The data highlights the importance of aligning beliefs with actions in the learning process and the need for a balanced approach that combines knowledge with effective PS techniques. The findings offer valuable implications for educators and students seeking to enhance their performance in OC.

Astrophysics-based transit search optimization heuristics for parameter estimation of multi-frequency sinusoidal signals

This study investigates an astrophysics-based Transit search optimization algorithm (TSOA) for solving a challenging engineering problem. This innovative strategy uses the fundamentals of physics to improve the accuracy and efficacy of problem solving techniques. Harmonic distortions in power systems have become a massive challenge because of the nonlinear loads associated with the electrical power distribution system. Overheating of the equipment, motor failure, capacitor failure, and improper power metering are all issues caused by harmonic distortion. A new examination of the causes and consequences of these issues, as well as the status of hardware and software available for harmonic evaluation, is necessary in light of the unprecedented advancements in power electronic devices and their integration at all levels in the power and energy system. In order to estimate phase and amplitude simultaneously with a specified frequency, an objective function of power system harmonics is created. Keeping in mind the adverse effects of harmonics, parameter estimation is carried out under various conditions by taking different particle sizes and signal-to-noise ratios. TSOA proved its efficacy for both phase and amplitude parameters under different situations and precisely estimated the harmonics signal up to an accuracy of 1.1648E–15. Two harmonic signals were taken in this research work, and the best MSE values achieved are 9.748E–4, 8.287E–07, 6.157E–10, and 1.165E–15 for 30, 60, 90, and 150 dB noise, respectively, under case study 1 while varying the particle size from 50 to 450. The results for case study 2 proved to be best up to 7.373E–16, and no significant change occurred by increasing the generations above 500. The proposed study would be a step further in developing a more accurate and robust computing platform for robust estimation of harmonics arising in power and energy systems.

Identification of Problem-Solving Techniques in Computational Thinking Studies: Systematic Literature Review

Problem-solving skills are an ability that must be cultivated to equip students with the skills needed to deal with today’s increasingly complex and volatile environment. Computational thinking represents a new paradigm in problem-solving skills. After Wing proposed Computational Thinking as problem-solving skills in 2006, other scholars investigated this topic; nevertheless, the link between Computational Thinking and problem-solving has not been clearly discussed in previous studies. To uncover evidence for the connection between Computational Thinking and problem-solving skills, we conduct a systematic literature review of 37 papers collected from Web of Science database. The results indicate that (a) problem-solving is discussed in the 37 articles in the context of Computational Thinking, (b) the most frequently employed Computational Thinking stages in problem-solving skills are decomposition, pattern recognition, abstraction, and algorithm, (c) Computational Thinking is closely linked to problem-solving, and (d) Computational Thinking and problem-solving stages serve the same functions in solving problems. The results of this study will encourage the development of education research, particularly in the application of CT as a problem-solving tool in various real-life scenarios.

From computing science to intelligent computing: A review of artificial and computational intelligence in data and information analysis

Artificial intelligence put forward using human intelligence index by use of advanced algorithms and models that transform computational principles of AI. Deep learning is a category of Artificial intelligence that shows the best problem-solving techniques and ways across different domains. Also, Computational Intelligence (CI) enhances conventional computing strategies through processes such as fuzzy logic, evolutionary algorithms, and neural networks that enables smarter decision-making among vague variables. Intelligent computing's impact is expanded over technological domains, that shows transformative changes in healthcare systems, finance industry, and other industrial processes. Having access to these technologies through collective platforms and open-source initiatives look after innovation. This review shatter perspectives from research scholars, industrial persons, and research communities, highlighting the current landscape and future prospects of A.I. and computational intelligence. Interdisciplinary applications and cross-cutting research initiatives represent the transformative potential of integrating intelligent computing techniques into expanded strategies. This wide scattering of A.I. and computational intelligence gives rise to the ethical concerns that majorly includes algorithmic biases and privacy issues to the end user. Meaningful dialogues and ethical practices are imperative to harnessing A.I. for social good in our interconnected world. This article represents the interdependent relationship between A.I., computational intelligence, and data science, offering deep knowledges into their synergistic applications and societal implications. It highlights the need for responsible A.I. deployment and ethical considerations to ensure the beneficial use of intelligent computing technologies.

Understanding How Patients With Lumbar Radiculopathy Make Sense of and Cope With Their Symptoms.

Lumbar radiculopathy, characterized by pain radiating along a nerve root, significantly diminishes the quality of life due to its neuropathic nature. Patients' understanding of their illness and the coping strategies they employ directly influence how they manage their condition. Understanding these illness representations from the patient's perspective is crucial for healthcare providers seeking to optimize treatment outcomes. This study adopted a qualitative interpretive/constructive paradigm to explore this dynamic. A qualitative evidence synthesis approach, utilizing best-fit framework synthesis for data extraction, was applied to analyze primary qualitative studies focused on patient experiences with lumbar radiculopathy. Using SPiDER(Sample, Phenomenon of interest, Design, Evaluation, Research type) to guide the search strategy, extracted data was mapped against the Common-Sense Model of Self-Regulation (CSM) framework. Sixteen studies, with moderate to minor methodological quality concerns, were included in the analysis. Data mapping across CSM domains generated 14 key review findings. Results suggest that patients with high-threat illness representations often exhibit maladaptive coping behaviors (e.g., activity avoidance) driven by emotional responses. In contrast, problem-solving techniques appear to contribute to positive outcomes (e.g., exercise adherenceand effective self-management) in patients who perceive their condition as less threatening. These findings highlight the potential benefits of interventions designed to reduce perceived threat levels and enhance self-efficacy in patients with lumbar radiculopathy, leading to improved self-management and ultimately better health outcomes.

Navigating the Wicked Policy Problem: An In-Depth Analysis of Policy Dilemmas and Innovative Approaches for Effective Problem Solving

The UN established the 17 Sustainable Development Goals (SDGs) to address a variety of social, economic, and environmental issues in order to ensure a more equitable future for all. These issues are to be addressed through policy and various relevant programs. However, some policy problems are hardly fixed despite the fact that many public policies are ostensibly being developed to address them. Wicked problems keep on piling up. Policy issues such as road safety, corruption, poverty and inequality, unemployment, land disputes, environmental degradation, gender equality, and so on have drawn a growing number of policies in an effort to address them, but these issues are recognized as being essentially amorphous and stubborn, hence creating policy dilemmas. This article offers a greater grasp of the alternatives for fixing wicked problems. It considers policy networks, policy entrepreneurship, collaborative governance, data-driven decision-making, policy diffusion, decentralization, and strategic placement of street-level bureaucrats as key strategies for tackling complex policy issues. This article makes the case that an integrated policy package is best suited to address wicked policy issues. This implies that addressing wicked problems requires a multifaceted and adaptive approach, as no single problem-solving technique can consistently and reliably provide a wide-ranging result.

Professionals' digital competences and user profiles in social agencies and their impact on professional practice, family autonomy and wellbeing.

The health crisis of the last 3 years has revealed the weaknesses of the child and family support system based on the professional use of digital resources in social agencies. This study addresses three aims: to examine the level of professional digital competence; to analyze the user profiles in a variety of digital resources; and to test the impact of level of competences and user profiles on four aspects: professional practice, family satisfaction with the services, child and family wellbeing, and family autonomy in the exercise of the parenting role. Participants were 148 practitioners from social agencies who voluntarily responded to an online survey with 47 questions. Results showed that professionals perceive themselves as more competent in areas of information / data management and communication / collaboration than in the creation of digital content, security measures, and technical problem solving. Websites, email, and instant messaging were the sources more frequently used and with higher satisfaction, than structured programs, social networks and multimedia content. Variability in the user profiles showed three clusters: Cluster 1 Social network user (n = 13), Cluster 2 Diversified user (n = 75) and Cluster 3 Communicative instant user (n = 60). Participants in Cluster 2 compared to those in the other clusters were the most proficient on their digital competences and acknowledge the positive impact of digital resources on their professional practice and the psychological and social wellbeing of families. This study points the need for improvement in professionals' digital competences in some of the measured areas and the user profile of digital resources since both provide benefits on professional practice and family autonomy and wellbeing.

Development of the ability of future science teachers to put the environmental component into practice

A shift of the science and technology from eco-unfriendly to nature-friendly is reflected in environmental education, which is aimed at improving of the moral values, consumption structure and relationship between human and nature. The purpose of research is to consider the directions of development of the ability of the students to put the environmental component of education into practice upon learning the teaching of the subjects in the higher education institutions. The author discusses the changes being made in the last update of the chemistry curriculum for the secondary school (2017) in accordance with the conception “New Ukrainian school 2016”, dealing with the requirements for the development of the key subject competencies as well as the new structural element of the program “Through content lines” intended to the implementation of the competency-based approach in teaching chemistry. The author suggests that the deep understanding of these changes by the students, especially in the course of mastering by the students such a core competencies as “Environmental awareness and healthy lifestyle”, “Basic competencies in science and technology” is an essential requirement for development of being able to put the environmental component of education into a future practice, that performs in two ways: project-based learning and competency-based learning with the focus on the green tasks.Project-based learning as an educational approach combines research, creative and problem-solving techniques. It was found that combined use of these methods at the different steps of projects life cycles allows shifting the focus from just reproduction of an array of knowledge by the students to the motivative educational journey, which encourages cognitive interest and promotes thinking of the future teachers.Carrying out the projects on various topics, resolving the competency-targeted tasks, cross-disciplinary approach assumes sequentially structured work of the students on solving some tasks that is generally aimed at development of the students’ ability to put the environmental component of education into future practice.

네트워크 분석을 활용한 2015 및 2022 개정 중등학교 기술 교과 교육과정 성취기준 비교

Objectives This study attempted to analyze the overall differences and characteristics of each content area of technology in each curriculum by using language network analysis, focusing on the description of achievement standards in the 2015 and 2022 revised secondary school technology curriculum.
 Methods The targets of this study are 43 achievement standards for the 2015 revised curriculum (27 middle schools and 16 high schools) and 41 achievement standards for the 2022 revised curriculum (26 middle schools and 15 high schools). In the 'Expiration and Classification of Achievement Criteria' stage of the analysis procedure, the achievement criteria were extracted and classified into each content area of the technology, and in the 'Pre-processing process', the text of the achievement criteria was analyzed and tokenized through KoNLPy. Later, in the “Language Network Creation” stage, nodes and links were constructed and networks were visualized using Networkx, and in the “Language Network Analysis” stage, the curriculum was compared and analyzed through achievement standard frequency, centrality index, and community detection.
 Results First, as a result of analyzing the frequency of achievement standards for each content area, both middle and high schools decreased in the common engineering technology area, and both middle and high schools increased in the manufacturing technology area. Second, as a result of language network size analysis, the size of both the main words and links of the achievement standards in both middle and high schools increased. Third, as a result of the analysis of the network centrality index, the proportion of key words corresponding to “knowledge and understanding” decreased, and the proportion of key words corresponding to “process and function” and “value and attitude” increased. Fourth, as a result of network cluster analysis, in the case of the 2015 revised curriculum, most of the keywords 'technology' and 'understanding' were located at the center of the cluster, but the 2022 revised curriculum was not focused on specific keywords, but various terms such as 'problem', 'solution', 'recognition', 'investigation', 'design', 'production', and 'evaluation' were at the center of the cluster together.
 Conclusions First, thorough preparation and curriculum restructuring are required in the design of teaching-learning activities in the school field according to changes in the content of the curriculum achievement standards. Second, in addition to “knowledge and understanding,” teaching-learning activities are needed to evenly cultivate core competencies for each subject related to “process and function” and “value and attitude” in the operation of the future curriculum. Third, according to the curriculum revision, educational activities are needed to cultivate more diverse sub-elements of technical literacy based on technical problem solving.

Associations between therapists’ verbal techniques and patient-rated therapeutic alliance, insight, and problem solving

ABSTRACT Objective: To investigate associations between common factors (alliance, insight, problem solving) and therapists’ techniques. We expected a positive association between (1) supportive techniques and the alliance, (2) interpretative techniques and insight, and (3) a stronger association between interpretative techniques and insight for patients with more severe baseline symptoms. Other associations were analyzed in an exploratory way. Method: Sixty sessions from 15 adult female patients diagnosed with personality disorder were analyzed using the Psychodynamic Interventions List (verbal techniques, observer-rated transcripts), and the Session Questionnaire for General and Differential Individual Psychotherapy (common factors, patient-rated after each session). Multilevel modeling was applied. Results: A greater use of supportive techniques was related to a higher therapeutic alliance (b = .28, 95% CI: .01–.55, p = .042). Neither the positive association between interpretative techniques and insight nor the moderating effect of baseline symptom severity could be confirmed. Exploratory analyses revealed associations between problem-solving and different verbal techniques. Conclusion: Therapists’ use of supportive techniques seems to influence the therapeutic alliance positively in patients with personality disorders. The effect of interpretative techniques might depend on other factors like patient characteristics. In general, there seem to be differential and specific associations between different therapists’ verbal techniques and common factors.

An Approach to Reduce Production Lead Time in the Valve Manufacturing Industry

Lean manufacturing aids improved productivity and product quality by identifying and eliminating waste. The present work aims to utilize Value Stream Mapping (VSM), a lean manufacturing technique to minimize the cycle time in the production of valves. A current state map is developed with available information gathered from the production unit, to identify the time-consuming factors like waiting time, improper inspection, and the lack of material and resources for manufacturing. Problem-solving techniques like 5s, JIT, KANBAN, and KAIZEN are used to reduce time-consuming activities. Value-Added and Non-value-added activities are identified through Current State Map. Activities such as placing a purchase order, drawing, assembling, testing, packaging, and shipping are Value-added activities. Non-Value-added activities are identified as rework, inspection, movement, waiting for the next process, and over-processing. The job waiting time between the next process is reduced by 70% using the future state map and the productivity is enhanced.

LESSONS LEARNED FROM TEACHING SYSTEM THINKING TO ENGINEERING STUDENTS

The primary focus of Engineering Education programs has been to train engineers in various aspects of problem-solving techniques. However, there have been concerns about the types of problems engineering students are exposed to. Most engineering programs train students on solving routine problems, with extension to originative problems in design courses. However, highly complex or “wicked problems” are more rarely explored at the undergraduate level in spite of the fact that they are some of the most important problems faced in society. Systems Thinking has been suggested as a promising approach to addressing wicked problems. We have designed a course in Systems Thinking at the University of Toronto targeted toward students from all disciplines of engineering. The objective of this course is to encourage students to explore the inherent ambiguity of complex problems while introducing them to tools and approaches to visualize their problem space. This paper evaluates the learning experience of students in the first iteration of this course, through a series of analyses performed on their coursework, personal reflections, and interviews. It was hypothesized that teaching Systems Thinking to engineering students would increase their awareness of the problem space, push them to learn about other disciplines outside of engineering, and increase their ability to visualize the elements in the problem. Our results suggest ways in which Systems Thinking has helped engineering students in their problem solving abilities and looks at the specific skills in which engineering students have significantly improved.

Empowering Problem-solving in Computer Science: A Need Analysis for a Computational Thinking Mobile Learning Application

The advancement of digital technology has revolutionized education across all levels, giving rise to digital learning as a novel pedagogical environment. Among the subjects at the forefront of this transformation is computer science, introduced in matriculation colleges to supplant traditional information technology courses. However, computer science poses inherent complexity, demanding abstract thinking and diverse problem-solving methodologies. Computational thinking (CT) emerges as a promising approach to address these challenges, recognized as a vital skillset for fostering innovation in digital technology among students. The ubiquity of smartphones and mobile internet facilitates the adoption of mobile learning, offering students the flexibility to access educational content anytime, anywhere. Consequently, this need analysis study aims to assess current teaching practices in computer science and identify the need for mobile learning applications that integrate CT as a problem-solving technique among matriculation college students. Interviews with three computer science lecturers revealed a reliance on conventional pedagogy with limited blended learning approaches through college portals. Notably, specific techniques for imparting programming problem-solving skills were lacking. Nonetheless, it is noteworthy that all instructors recognized the considerable potential of mobile learning applications in effectively engaging students and facilitating the development of problem-solving proficiency.

Assessing the Role of Mobile Applications in Improving Stoichiometry Understanding among Matriculation College Students: An Investigation

Mobile learning is anticipated to enrich learning experiences, enabling students to access educational content regardless of time or place. In light of the widespread use of smartphones for daily activities and ubiquitous mobile access to the internet, the mobile learning approach becomes feasible. The digital era has initiated significant transformations across various facets of contemporary life, with education being no exception. However, a persistent challenge lies in identifying suitable digital learning platforms and tools to effectively engage students in learning at their own pace, particularly in disciplines such as chemistry at Matriculation College. Chemistry, being a highly complex subject, demands abstract thinking and diverse problem-solving approaches. Computational Thinking (CT) emerges as a potential problem-solving technique in 21st-century learning that is applicable in teaching and learning chemistry. These skills are considered essential for enhancing the digital technology innovation capacity and should be nurtured among students. Therefore, the purpose of this study is to assess the current teaching and learning methods in chemistry and determine the necessity for a mobile learning application that introduces CT as a problem-solving technique among matriculation college students studying chemistry. Findings reveal that lecturers mainly use conventional teaching methods, incorporating blended learning through platforms such as YouTube for video lectures and the distribution of notes through messaging apps like WhatsApp and Telegram platforms. Notably, there is no standardized technique employed by lecturers in teaching chemistry problem-solving. However, all of them acknowledge the potential of mobile learning applications that integrate CT to effectively engage students in developing problem-solving skills, particularly in the context of solving stoichiometric problems.

Utilizing Inverse Kinematics for Precise Guidance in Planning 6-DoF Robot End-Effector Movements

The solution of the kinematic inverse determines a substantial part of the robotic arm's control accuracy. Researchers frequently employ standard problem-solving techniques such as numerical, algebraic, iterative, and geometric methods. Although geometric like trigonometrical method has been widely studied, and their application is strongly dependent on the shape and dimensions of the robot. The complexity of the steps makes this approach difficult for researchers. In order to give a clearance and easiness, the step-by-step features of inverse kinematics are described in this research. The study begins with forward kinematics and refers to the DH-parameter in Homogeneous Matrix Transformations calculation. The existence of specific elements applied to mathematical derivation constituted the basis of forward kinematic discussions. And based on geometrical analysis, the inverse kinematic is then derived. Furthermore, simulations are performed to demonstrate the actual implementation of IK and the solution is then used to initiate the path planning process.