Abstract:Abstract: Face detection remains a challenging task in computer vision due to real-world factors such as uneven lighting, varying viewpoints, distance, and occlusion. This study aims to develop and evaluate a real-time facial…
acial feature detection application (detecting face, eyes, nose, and mouth) using MATLAB and a webcam. Detection is performed using the Viola-Jones Cascade Classifier method through the vision.CascadeObjectDetector function. Key parameters that were adjusted include the MergeThreshold (ranging from 4 to 50 depending on the feature) and MinSize (based on estimated feature size within the frame). However, this study does not include tuning of other parameters such as FalseAlarmRate, which constitutes a limitation of the employed method. The adjustment of these parameters proved significant in improving detection accuracy and robustness under varying lighting conditions. Nevertheless, the system still encounters difficulties in detecting facial features in the presence of occlusion. This study also has the potential to serve as a foundation for further developments in face recognition, emotion detection, or biometric authentication.
Keywords: computer vision; haar cascade; MATLAB
Abstrak: Deteksi wajah merupakan tantangan dalam visi komputer karena dipengaruhi oleh kondisi nyata seperti pencahayaan tidak merata, sudut pandang, jarak, dan obstruksi. Penelitian ini bertujuan untuk mengembangkan dan menguji aplikasi deteksi fitur wajah secara real-time (wajah, mata, hidung, dan mulut) menggunakan MATLAB dan kamera webcam. Deteksi dilakukan dengan metode Viola-Jones Cascade Classifier melalui fungsi vision.CascadeObjectDetector. Parameter penting yang disesuaikan adalah MergeThreshold (antara 4 hingga 50 tergantung fitur), MinSize (mengikuti estimasi ukuran fitur dalam frame). Namun, penelitian ini tidak mencakup penyesuaian parameter lain seperti FalseAlarmRate, yang menjadi salah satu keterbatasan metode yang digunakan. Penyesuaian parameter ini terbukti signifikan dalam meningkatkan akurasi deteksi dan ketahanan terhadap variasi kondisi pencahayaan. Namun, sistem masih mengalami kesulitan mendeteksi fitur wajah jika terjadi obstruksi. Penelitian ini juga berpotensi menjadi dasar untuk pengembangan lebih lanjut dalam face recognition, emotion detection, atau biometric authentication.
Kata kunci: visi computer; haar cascade; MATLAB
Abstract:Student development includes conduct as a key component. Student behavior becomes crucial in deciding how successful students will be in different spheres of life. The variety of student behavior can hinder the learning…
process and personal development of students. Through the development of an expert system-based counseling model based on backward chaining, this study seeks to discover trends in student behavior. The research process starts with problem analysis, goal setting, literature study, data collection, system design and implementation, and results analysis. It then moves on to counseling model development and implementation in the school setting. To determine the reasons for the unruly behavior of the kids, data were analyzed using a backward chaining methodology. UML Usecase diagrams are used in system design to define the roles of actors and users. The established counseling model, which consists of 14 behaviors, 67 phenomena/symptoms, and 14 rules, focuses on goals and methods to modify student behavior. Three students underwent system testing based on previously achieved goals from therapy. The findings revealed "Smoking," "Emotional Problems," and "Fighting" among the student behaviors. When the Backward Chaining-based counseling model is used, it is simpler for homeroom teachers to gather information about students' conduct from them and to offer remedies based on the transfer of professional knowledge without having to wait for the counselor guidance procedure
Abstract:Abstract: Interpersonal skills in employees are an important part of technology companies in achieving their goals through the development of skills in their employees. The application of agile methods for application development…
development has been widely carried out by technology companies. The agile method has the main principle of communication between employees, requiring skills to face these principles. The method used in this study is the systematic literature review (SLR) method to know how the use of agile methods can develop interpersonal skills in karyawan. In the initial search conducted using the Publish or Perish application, 740 journals were found in the range of 2015 to 2022. Next, journal filtering and cluster search continued using Microsoft Excel, Zotero, Mendeley, and VOS Viewer applications, resulting in 53 journals selected based on Q1. In the final stage of screening, researchers re-screened 9 journals that were used as a reference regarding the use of agile methods to develop employee interpersonal skills. The results showed that the agile development method can affect the development of employee interpersonal skills. 11 skills develop because of the use of this agile development method including team working, emotional intelligence, negotiation and persuasion, problem-solving, communication skills, conflict resolution, decision making, time management, organizational skills, listening, and relationship building. Of the 11 skills, the most mentioned is team working.
Keywords: agile development methods; interpersonal skills; literature review
Abstrak: Interpersonal skill pada karyawan menjadi bagian penting bagi perusahaan teknologi dalam mencapai tujuannya melalui berbagai pengembangan keterampilan. Penerapan metode agile untuk pengembangan aplikasi sudah banyak dilakukan oleh perusahaan-perusahaan teknologi. Metode agile memiliki prinsip utama berupa komunikasi antar karyawan sehingga membutuhkan keterampilan untuk menghadapi prinsip-prinsip tersebut. Metode yang digunakan pada penelitian ini yaitu metode systematic literature review (SLR) dengan tujuan untuk mengetahui bagaimana pemanfaatan metode agile dapat mengembangkan interpersonal skill pada karyawan. Pada pencarian awal yang dilakukan menggunakan aplikasi Publish or Perish, ditemukan 740 jurnal pada rentang tahun 2015 sampai 2022. Selanjutnya, penyaringan jurnal menggunakan aplikasi Microsoft Excel dan Mendeley Desktop yang menghasilkan 53 jurnal yang dipilih berdasarkan penilaian kualitas. Pada tahap akhir penyaringan, peneliti menyaring kembali menjadi 9 jurnal yang digunakan sebagai acuan mengenai pemanfaatan metode agile untuk mengembangkan interpersonal skills karyawan. Hasil penelitian menunjukan bahwa metode agile development dapat mempengaruhi pengembangan interpersonal skill karyawan, faktanya terdapat 11 skill yang berkembang karena pemanfaatan metode agile development ini diantaranya adalah team working, emotional intelligence, negotiation and persuasion, problem solving, communication skills, conflict resolution, decision making, time management, organizational skill, listening, dan relationship building. Dari 11 skill tersebut yang paling banyak disebut yaitu team working.
Kata kunci: interpersonal skills; metode agile development; literature review;
Abstract:Abstrack: The ability of computers to remember and store information properly can be utilized without having to depend on deficiencies that humans have, such as hunger, thirst and emotions that can be felt at any time as…
as humans. Except for electrical energy, all human weaknesses in remembering something can be done by a computer without obstacles. This forward tracking is a data-driven approach. In this approach tracking starts with input information, and then tries to draw conclusions. The basic concept of an expert system where the user submits information or facts to the expert system then the user receives a solution or answer from the expert system. Expert System Application to Detect Heavy Equipment Damage at PT.Tamako Raya Perdana was made so that it can help Heavy Equipment Operators (Excavators) or Companies, and may be able to help Mechanics if they forget the mechanism of action on Heavy Equipment (Excavators). So they no longer need to bother to get the information they need in handling problems in the Excavator.
Keyword: expert system, forward chaining, heavy equipment
Abstrak: Kemampuan Komputer untuk mengingat dan menyimpan informasi dengan baik dapat dimanfaatkan tanpa harus bergantung kepada kekurangan-kekurangan yang dimiliki manusia, seperti lapar, haus dan emosi yang sewaktu-waktu bisa dirasakan seperti pada manusia. Kecuali karena energy listrik, semua kelemahan manusia dalam mengingat sesuatu bisa dilakukan oleh komputer tanpa kendala. Pelacakan kedepan atau runut maju ini adalah pendekatan yang dimotori data (data-driven). Dalam pendekatan ini pelacakan dimulai dari informasi masukan, dan selanjutnya mencoba menggambarkan kesimpulan. Konsep dasar sistem pakar dimana pengguna menyampaikan informasi atau fakta untuk sistem pakar kemudian pengguna menerima solusi atau jawaban dari sistem pakar. Aplikasi Sistem Pakar Untuk Mendeteksi Kerusakan Alat Berat Pada PT.Tamako Raya Perdana ini dibuat agar dapat membantu para Operator Alat Berat (Excavator) atau Perusahaan, dan mungkin dapat membantu Mekanik bila lupa akan mekanisme kerja pada Alat Berat (Excavator). Sehingga mereka tidak perlu lagi bersusah payah untuk mendapatkan informasi yang mereka butuhkan dalam menangani masalah-masalah pada Excavator tersebut.
Kata kunci : sistem pakar, runut maju, alat berat
Abstract:This study aims to develop a comprehensive constellation model and identify optimal strategies for strengthening lecturers’ professional commitment in the largest private universities in Bogor. Penelitian ini mengkaji secara…
secara mendalam bagaimana emosi dan belajar sosial memengaruhi proses pembelajaran di sekolah dasar melalui perspektif neuropedagogik dan brain‑based learning. A mixed methods approach was used by combining quantitative analysis (meta-analysis of 173 respondents and 47 indicators of NP, EC, OB, MS, BS) and descriptive qualitative analysis using thematic analysis techniques on semi-structured interviews with five elementary school teachers. The meta-analysis results showed a very strong average effect of the latent construct relationship (t(128) = 12.92; p < 0.001; r ≈ 1.00) with almost zero heterogeneity (Qₑ(128) = 1.67; τ² = 0; I² = 0%), and no significant moderating effects were found for all indicators; the partial meta-regression coefficients for all items were very close to zero and the R² value was 0.000. Qualitatively, three main themes emerged: (1) positive emotions as the foundation of learning readiness, (2) social interaction as a reinforcement of meaning formation, and (3) contextual learning that integrates cognitive, emotional, and social dimensions. Although most teachers have not yet mastered the concepts of neuropedagogy and brain-based learning theoretically, they have intuitively implemented its principles through motivation, praise, humor, group work, collaborative projects, and learning experiences relevant to students' real lives. These findings support the latest theory that places emotions and social interactions as the main drivers of brain function in learning (Immordino Yang, 2016; Tyng et al., 2017; Vygotsky, 1978; Jensen, 2008), and emphasizes the importance of strengthening teachers' competence in understanding and designing brain- and emotion-based learning to support the holistic development of elementary school students.
Abstract:This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest…
t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.
Abstract:This study aims to examine in depth the application of neuroplasticity principles in learning at elementary schools, focusing on the teaching practices of five teachers at SDS Dharma Putra. Neuroplasticity, as a core concept…
cept in neuroscientific learning, describes the brain's ability to form, strengthen, or modify neural networks through experience, repetition, meaningful activities, and students' emotional involvement. Given the characteristics of elementary school students who are at a stage of cognitive development that is highly responsive to learning environment stimulation, a study of the application of neuroplasticity by teachers is important to ensure that the learning process is in line with the brain's working mechanisms.This study used a neuropsychological instrument measuring the dimensions of neuroplasticity to assess four main indicators, namely repetition & practice, dedicated time for review, use of interactive activities, and contextual learning that connects the material to students' real experiences. The data was reinforced through in-depth interviews and thematic analysis of the learning strategies applied by each teacher. The results showed variations in application between teachers. Some teachers showed strong implementation in interactive activities and contextual learning (score of 5), while structured repetition showed lower consistency (score of 3). The interview findings reinforced the instrument results by showing patterns of strategies such as the use of inspirational stories, educational games, quizzes with prizes, conveying the benefits of learning, and scaffolding through easy material as a starting point. This study concludes that the application of neuroplasticity principles is present in teachers' teaching practices, although the level of depth and routine still needs to be strengthened. The theoretical implication confirms that learning that integrates positive emotions, collaborative activities, planned repetition, and contextualization of material has the potential to have a significant impact on the formation of students' neural networks. Practically, this study provides recommendations for strengthening neuroscientific learning-based instructional design as an effort to optimize the learning process of elementary school students.
Abstract:The advancement of digital technology has paved the way for the emergence of various mobile learning applications increasingly used within the context of Islamic education. This phenomenon not only reflects the trend of…
integrating technology into modern learning systems but also raises fundamental questions about how these applications are designed and how far they impact learners’ experiences and learning outcomes. This article presents a systematic review of scholarly studies discussing the use of mobile applications in Islamic studies education. The review focuses on two key aspects: the design principles employed in application development and the learning outcomes achieved following their use. The review involved selecting literature from the past six years using specific inclusion criteria, including content relevance, source credibility, and its connection to mobile learning practices in Islamic education. Analysis reveals that designs considering cultural appropriateness, user interface interactivity, and integration of Islamic values positively influence students' emotional engagement, motivation, and content comprehension. Learning outcomes also extend into affective and spiritual domains, not merely cognitive. These findings serve as an initial foundation for developers and educators to build an adaptive, meaningful, and value-based Islamic mobile learning ecosystem.
Abstract:This study investigates the communicative practices of youth volunteers involved in Surabaya’s Kelurahan Bersinar anti-drug initiative, highlighting the role of grassroots messaging in shaping public health discourse. Grounded…
Grounded in framing theory, narrative theory, and social capital theory, the research explores how volunteers construct persuasive anti-drug messages through culturally rooted storytelling, emotional framing, and symbolic communication. Using a qualitative case study approach, data were gathered through interviews, focus groups, observations, and campaign materials with 18 youth volunteers. The findings reveal that volunteers effectively used personal experiences and local narratives to foster trust and collective identity, transforming individual challenges into shared stories of hope and resistance. Emotional strategies, such as gain-framed and fear-based appeals, were deliberately crafted to trigger empathy and promote behavioral change. Volunteers also capitalized on their deep integration within community networks to enhance message credibility and reach, cultivating both bonding and bridging social capital. The study challenges top-down approaches in health campaigns, illustrating the power of peer-led, culturally resonant communication. It contributes a layered communication model for grassroots health advocacy and underscores the transformative impact of narrative-driven volunteer engagement. The study recommends integrating cultural framing in training programs and exploring digital channels to scale grassroots messaging in future research.
Abstract:This research aims to analyze the role of virtual teachers and teaching robots as transformative innovations in learning systems in the era of artificial intelligence (AI). With the development of AI technology, this research…
earch focuses on how these two technologies can increase learning effectiveness, personalize education, as well as the challenges and opportunities faced in their implementation. The research method used is a literature study with a qualitative approach, collecting and analyzing data from various sources such as journals, articles and reports related to virtual teachers, teaching robots and the application of AI in education. The research results show that virtual teachers and teaching robots are able to provide adaptive solutions in learning, such as 24/7 service, instant feedback, and a more interactive learning experience. However, its implementation still faces obstacles such as emotional limitations, ethical data use, and infrastructure readiness. This study concludes that this innovation has the potential to revolutionize education, as long as it is supported by appropriate policies, improving the quality of technology, and the readiness of human resources. This research provides recommendations for technology developers, educators and policy makers to optimize the use of AI in learning in the future.