Publication Search

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

This article examines umpasa as the determinant of the validity of the Mangalahat Horbo ritual and as a vehicle for transmitting the cultural values of the Batak Toba people from an anthropolinguistic perspective. Mangalahat Horbo is a buffalo sacrifice ritual that functions simultaneously as a cosmological, political, and linguistic event. This study employs a descriptive qualitative approach using three theoretical frameworks: Dell Hymes' (1974) SPEAKING model to analyze the ritual as a speech event, Roland Barthes' (1968) semiotics to dissect the denotative and connotative meanings of umpasa, and Kluckhohn's (1953) theory of cultural values and Sibarani's (2014) local wisdom theory to identify embedded cultural values. The findings reveal that umpasa operates on three simultaneous layers of meaning: pragmatic-performative, social-hierarchical, and cosmological-ecological. Umpasa is not merely an aesthetic ornament but a constitutive element of the ritual that shapes the social and cosmological reality of the Bius community. Eight cultural values are identified: communicative courtesy, adat knowledge transmission, self-restraint, collective responsibility, cultural preservation, cosmological reciprocity, distributive justice, and ecological harmony. This study affirms the urgency of anthropolinguistic documentation of Mangalahat Horbo before the Parhata masters of umpasa diminish further.

This study aimsmto examineiin depthvthe perspective of information technology law and human rights on the phenomenon of political buzzers on social media within the context of digital development in the era of globalization. This research is motivated by the rapid advancement of information technology, which has brought significant changes in various aspects of society, including the political sphere that increasingly utilizes social media as a means of communication and information dissemination. The phenomenon of political buzzers has become a controversial issue, particularly during election periods, as it is often associated with the spread of inaccurate information, defamation, hate speech, and the manipulation of public opinion that may harm society and disrupt social stability. This study employs a normative legal research method using statutory and conceptual approaches. The results indicate that political buzzers generally operate under the justification of freedom of expression as part of human rights. However, such freedom is not absolute and must be limited to prevent violations of others' rights and to maintain public order. In this regard, information technology law in Indonesia, particularly through regulations governing digital activities, plays an important role in controlling deviant buzzer practices. Nevertheless, the absence of specific regulations explicitly governing political buzzers has resulted in less optimal law enforcement. Therefore, strengthening regulations and increasing public awareness in the wise use of social media are necessary to create a healthy, responsible, and sustainable digital ecosystem.

The development of a student's personality, particularly during classroom interaction, is heavily influenced by their level of self-confidence. A lack of self-assurance often leads to public speaking anxiety, which subsequently restricts student engagement and diminishes academic performance. This phenomenon is frequently identified among tenth-grade Vocational High School (SMK) students who are navigating a period of environmental transition. This research focuses on enhancing the self-confidence of Grade X SMK students struggling with speech-related anxiety through the implementation of group guidance services utilizing role-playing methods. The study follows a Guidance and Counseling Action Research (GCAR) design conducted over two cycles, consisting of preparatory, executive, monitoring, and evaluative phases. The participants were tenth-grade students with low self-confidence profiles as determined by questionnaires and field observations. Data were analyzed using a descriptive quantitative approach to compare performance levels before and after the intervention. The results demonstrate that group guidance integrated with role-playing is an effective strategy for optimizing student self-confidence, as shown by the consistent upward trend in scores throughout the cycles. These findings suggest that this technique serves as a strategic instrument for school counselors to mitigate social anxiety among students. 

This study aims to analyze the communication process within the Suluk tradition in Kubu Gadang, West Payakumbuh, using Dell Hymes’ Dell Hymes Ethnography of Communication approach. This research employed a qualitative method with an ethnographic approach through observation and in-depth interviews involving five informants and one triangulator, consisting of mursyid, khalifah, and salik. The findings reveal that communication in the Suluk tradition is systematically regulated to maintain participants’ spiritual concentration during the worship process. Communication occurs through verbal forms, such as dzikir, tawajuh, and spiritual instructions delivered by the mursyid, as well as non-verbal symbols, including the use of khalwat isolation tents, tasbih, and stones as counting tools. In addition, strict norms such as limiting speech, eye contact, and social interaction function as important non-verbal communication elements. These communication patterns collectively support the spiritual objectives of Suluk, particularly in strengthening self-discipline, inner focus, and closeness to Allah.

The rapid development of digital technology has brought significant changes to social life, particularly among university students as an educated group and agents of change. On the one hand, digital spaces provide opportunities for freedom of expression and public participation; on the other hand, they also present various challenges related to Human Rights (HR), such as privacy violations, the spread of hate speech, disinformation, and cyberbullying. These conditions highlight the importance of strengthening students’ capacity to ensure they possess adequate understanding and awareness of human rights values in the digital era. This community service article aims to enhance students’ human rights awareness through capacity-building activities conducted within the university environment. The service method was implemented through educational activities in the form of seminars, material presentations, and interactive discussions addressing fundamental human rights concepts, digital ethics, privacy protection, and responsible freedom of expression.The results of the activities indicate an increase in students’ understanding and awareness of human rights issues in the digital era, as well as the development of more critical and ethical attitudes in utilizing digital spaces. This initiative also strengthened the synergy between higher education institutions and the government in promoting human rights awareness among students. Overall, this community service activity makes a positive contribution to strengthening students’ capacity to face human rights challenges in the digital era.

Human–Robot Interaction (HRI) systems increasingly rely on data-driven approaches to interpret multimodal sensory inputs and support natural interaction. However, purely neural-based HRI models often suffer from limited interpretability and insufficient context-aware decision-making, which can reduce user trust and adaptability in dynamic interaction scenarios. To address these limitations, this study proposes a hybrid neural–symbolic HRI framework that integrates multimodal neural perception with explicit symbolic reasoning for adaptive and interpretable robot behavior. The proposed system combines deep neural networks for processing visual, speech, and gesture inputs with a rule-based symbolic reasoning layer that models interaction context, user states, and behavioral constraints. A loosely coupled integration strategy enables neural outputs to be transformed into symbolic representations, allowing logical inference to guide action selection while preserving perceptual accuracy. The framework was evaluated through controlled HRI experiments comparing a neural-only baseline with the proposed hybrid configuration across multiple interaction scenarios. Experimental results demonstrate that the hybrid neural–symbolic system significantly improves interaction accuracy, contextual responsiveness, and user satisfaction, while achieving substantial gains in interpretability. These findings indicate that symbolic reasoning effectively complements neural perception by enhancing transparency and context-aware adaptation without compromising performance. The study concludes that hybrid neural–symbolic architectures provide a promising foundation for developing trustworthy, adaptive, and human-centered HRI systems.

Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

Communication is a fundamental human need for conveying information and ideas. However, individuals who are deaf and mute face difficulties in communicating with the broader community that does not understand sign language. This study aims to design and implement a real-time static sign language translator into speech using five flex sensors, an MPU6050 sensor, a Raspberry Pi Pico, an ADS1115 ADC module, and a DFPlayer Mini module as the audio output medium. Testing results show that the device successfully recognizes finger movements and hand orientation. The system is capable of playing audio output corresponding to recognized gestures, with the shortest latency recorded at 1.1 seconds and the longest at 2.8 seconds, achieving a detection accuracy rate of 75% based on 60 tests across 12 sign words. This device supports the translation of 12 simple sign words. The implementation demonstrates potential as an assistive communication tool, although further development is needed to improve accuracy, expand vocabulary, and conduct trials directly with deaf or mute users.

This study aims to describe the forms and social functions of code-switching and code-mixing in the film Hujan Bulan Juni and to explain how language choice represents identity and social differences among the characters. The film was chosen because it portrays interactions between characters from different cultural backgrounds Javanese and Manadonese which allows for complex patterns of language contact. The study employed a descriptive qualitative method using observation and note-taking techniques on dialogues containing Indonesian, Javanese, and Manadonese linguistic elements. The data were analyzed using the sociolinguistic frameworks of Gumperz (1982) and Wardhaugh (2015) to uncover the social functions and identity meanings reflected in the speakers’ language choices.The findings reveal that code-switching from Indonesian to Manadonese serves to reinforce ethnic solidarity, emotional closeness, and cultural pride, while switching from Indonesian to Javanese reflects politeness, intimacy, and social hierarchy. Meanwhile, code-mixing between Indonesian and Manadonese marks distinctive speech styles and expresses regional identity, whereas code-mixing between Indonesian and Javanese functions to soften utterances and portray the speakers’ courteous demeanor. Overall, language choice in Hujan Bulan Juni is not merely a communicative tool but also a representation of identity and social differentiation within Indonesia’s multilingual society.

The rapid development of digital media has created a communication pattern in which information spreads quickly and often without verification. In this situation, hoaxes and disinformation have emerged as a serious threat that affects social trust, religious harmony, and individual behavior in online spaces. This study aims to explore Qur’anic principles that are relevant for building critical awareness, especially through the momentum of Nuzul Qur’an as an illustration of revelation that guides people in understanding messages accurately. The research uses a qualitative descriptive-analytical design with a thematic tafsir approach to examine verses related to verification, prohibition of false speech, and speaking truth. Primary sources consist of the Qur’an and classical as well as modern commentaries, while secondary sources include books and scientific articles on digital literacy and misinformation. The findings show that Qur’anic principles such as tabayyun, avoidance of false accusation, and responsibility in communication are aligned with core elements of digital literacy that require users to identify reliable sources and evaluate messages before sharing. The conclusion suggests that integrating Qur’anic ethical values into digital literacy programs can reduce the circulation of hoaxes and strengthen a culture of truth in digital interaction.

State speeches in international forums are a strategic arena for the practice of diplomacy and leadership image management. This study analyzes President Prabowo Subianto's rhetorical style in his speech at the 80th UN General Assembly on September 23, 2025. Using Aristotelian theory, namely ethos, pathos, and logos, to understand how rhetoric functions in strengthening political legitimacy, humanitarian solidarity, and international policy arguments. Using a qualitative-descriptive approach, this study examines transcripts of official speeches and identifies quotations that represent each persuasive mode. The analysis shows that Prabowo builds ethos through historical references, concrete actions of Indonesia such as the contribution of peacekeeping troops, and pathos is depicted through narratives of suffering, calls for solidarity, and an emphasis on the future of the younger generation; while logos is demonstrated through the presentation of data, policy plans such as the net-zero target, technical solutions such as sea walls, and systematic cause-and-effect arguments. This combination of ethos, pathos, and logos confirms that the speech was not simply a policy statement but also a rhetorical diplomatic tool that strengthened Indonesia's image as a constructive global actor. These findings contribute to the study of leadership communication and diplomatic rhetoric, particularly in the context of developing countries seeking to enhance the role of multilateralism and soft power.

Language processing disorders are disorders that arise when someone is under mental stress or experiencing deep emotional trauma. This study aims to analyze the various types of language processing disorders experienced by the character Tari in the film "Bolehkah Sekali Saja Aku Menangis" (May I Cry Once) and to determine the relationship between the character's emotional state and the linguistic symptoms that appear. This study uses a qualitative approach with a naturalistic approach and analytical descriptive methods, where data are collected through observation and recording of dialogues in the film that show signs of language disorders. Samples were taken purposively based on statements that indicate irregularities in sentence structure, long pauses, repetitions, or inappropriate word choices. This analysis compares the results of the study with existing psycholinguistic theories regarding how language processing works and the influence of trauma on speech production. The findings of this study indicate four main types of language processing disorders experienced by the character Tari: unfinished sentences, long pauses, repetitions of words or phrases, and inaccuracies in word choice. These types of disorders are more apparent when the character experiences high emotional stress and when interacting with family members related to her trauma.  The results of this study support the theory that emotional trauma can disrupt verbal working memory function and speech planning processes, ultimately impeding communication skills.

This study examines the phonological disorder in the form of mild articulatory dysarthria experienced by actress Junior Roberts in an entertainment media interview on the Cinema 21 YouTube channel. The study was conducted using a phonological approach, specifically articulatory phonetics, to analyze the inaccuracy of pronunciation of language sounds in spontaneous speech. This study used a qualitative descriptive method with the Free Listening and Speaking (SBLC) technique as a means of data collection. The analysis results indicate that the phonological disorder experienced by the subject is evident in the phoneme /r/ through three main processes: substitution (/r/ is replaced by /l/ or /y/), elision (the /r/ sound is lost), and distortion (the /r/ sound is heard muffled). This disorder is caused by articulatory muscle weakness due to neuromotor dysfunction. Despite this, the subject displayed a positive attitude and made her speech characteristics a personal identity in the entertainment world. This study confirms that the study of phonology does not only focus on the sound aspects of language but also encompasses the physiological, psychological, and social dimensions that influence human speech production.

Deviant behavior in early childhood is an issue that needs serious attention, especially when children start to show the habit of using harsh language while interacting with peers. This phenomenon was found at TK Unggulan An Nur Surabaya, where some children tend to use impolite words during play and communication. The aim of this study is to identify the causal factors behind deviant behavior in early childhood, specifically rude speech, and to analyze the influence of family environment, school, peers, and media on such behavior. This research employed a qualitative approach with a case study design. Data were collected through direct observation, interviews with teachers and parents, and documentation from classroom activities. The findings revealed that rude speaking behavior is influenced by permissive parenting, peer group influence, exposure to inappropriate media, and immature emotional regulation. The conclusion is that deviant behavior such as harsh speaking does not arise in isolation but is the result of complex interactions between internal and external factors. Therefore, collaboration between teachers and parents in character education and monitoring of media exposure and peer environment is essential.

Social media has become a new communication space that allows for the rapid and widespread dissemination of information, including on public issues. One of the platforms that is often used is social media X (formerly Twitter), where users can express their opinions and shape public perception. This study is entitled "The Influence of Hate Speech by Admin @keretacepatid on Patrick Kluivert (National Team Coach) on the Level of Followers' Perception on Social Media X" which aims to determine how hatred influences the formation of perceptions of social media users. This study uses a quantitative approach with a survey method and data collection techniques through online questionnaires to followers of the @keretacepatid account. The results of the study indicate that there is a significant influence of hatred on followers' perceptions. Some respondents showed a dominant attitude, namely agreeing with the negative narrative built by the account against Patrick Kluivert, while others were in a negotiating position, namely understanding the context of the speech but still considering Kluivert's professional background as a national team coach. This finding is the importance of ethical and responsible digital communication management in shaping public opinion in the era of social media.

The use of social media has become an inseparable part of daily life for Indonesian teenagers. Platforms such as Instagram, TikTok, and WhatsApp are widely used for communication, self-expression, entertainment, and information. However, behind these benefits lie significant negative impacts, particularly the rise of juvenile delinquency and digital violence. Phenomena such as cyberbullying, the spread of negative content, hoaxes, hate speech, and online exploitation are increasingly prevalent. Data from GoodStats and the 2024 National Survey on the Life Experiences of Children and Adolescents (SNPHAR) reveal high rates of violence experienced and perpetrated by teenagers in digital spaces. Furthermore, reports from the Indonesian Child Protection Commission (KPAI) show a yearly increase in cases of juvenile misbehavior linked to social media usage. This study employs a descriptive quantitative approach using secondary data from KPAI, GoodStats, and SNPHAR. The objective is to identify various forms of juvenile delinquency triggered by social media use and to explore both existing and potential strategies for prevention. The analysis indicates that low levels of digital literacy among teenagers, weak parental supervision, and the influence of social media algorithms that often amplify extreme content are major contributing factors to deviant behavior. This research emphasizes the importance of collaborative efforts among families, schools, the government, and digital platforms to create a safe and healthy digital environment for teenagers. Comprehensive digital literacy education, character development, stronger child protection regulations on the internet, and increased parental involvement are key strategies that need to be strengthened. Through an integrated approach, it is hoped that the risks of delinquency and digital violence can be minimized, enabling Indonesian youth to grow into a generation that is intelligent, critical, and responsible in their use of social media.

Automatic Speech Recognition (ASR) for the Indonesian language faces significant challenges due to high Word Error Rate (WER), especially when using pre-trained models without fine-tuning. This study develops an optimized ASR system using a hybrid cloud architecture that integrates the Faster-Whisper large-v3 engine with advanced audio preprocessing techniques. The system adopts a distributed architecture, with Google Colab (Tesla T4, 15GB VRAM) as the GPU server and Ubuntu 22.04 LTS (8 core, 32GB RAM) as the client. Evaluation was conducted on five Indonesian audio samples covering formal news, informal conversations, and long-duration recordings. The system achieved an 80% success rate in processing, with WER ranging from 27.69% (formal news) to 645.16% (informal conversations). Resource utilization was also efficient, with 21.3% GPU usage and 35.4% RAM usage. Processing time remained stable for normal-sized files but experienced timeouts on large files (>50MB). The results indicate that hybrid cloud architecture is feasible for distributed ASR processing in Indonesian, with several areas still open for optimization toward production deployment.

Language development in early childhood is a fundamental aspect in shaping children's cognitive, social, and emotional abilities. However, in today's digital era, excessive use of gadgets has become a common habit in parenting patterns, which has the potential to inhibit children's speech development. This article aims to examine the impact of gadget use on speech delays in early childhood using a literature review approach to the literature from 2020–2025. The results of the study indicate that passive interaction through gadgets, without adequate verbal guidance and stimulation, can reduce the frequency of dialogue and children's social involvement. This condition increases the risk of speech delay, expressive communication disorders, and vocabulary limitations. In addition, factors such as permissive parenting, technoference, and lack of direct verbal activity are significant contributors to obstacles to language development. Therefore, an active role is needed for parents in limiting screen time, assisting with the use of digital media, and creating an environment rich in verbal interaction. Public education and early detection are also important solutions to prevent and treat speech delays from an early age.

The purpose of this research is to see how Digital Literacy: Understanding Norms and Ethics in the Online Field. In general, this study aims to assess the extent of understanding and practice of digital ethics in various groups. Measuring interventions (workshops/socialization) in improving ethical behavior online. Identify gaps in areas prone to norm violations, such as privacy breaches, unauthorized uploads, and the spread of hoaxes. Develop a model or recommendation for literacy programs that is grounded in social norms and values. Research methods The form of this research is descriptive, analytical, and critical. Therefore, the author can comprehensively explain how Digital Literacy: Understanding Norms and Ethics in the Online Field. In this study, the author optimally used two data sources related to this research, namely. Primary data sources and secondary data sources. The result of this study is that digital literacy and ethics are effective in reducing hoaxes and hate speech. Strengthening methods include e-learning, digital media, and school literacy movements. The challenges are the limited skills of students, the lack of parental supervision, and the need for teachers who need to continue to develop.