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This study examines the Dayak Ngaju Palui oral story as an object of anecdotal text by analyzing its structure, building elements, linguistic rules, and implied meanings. The research focuses on identifying the structure of anecdotal texts in Palui stories, the elements that construct the stories, the linguistic features used, and the meanings implied within them. The study aims to describe these aspects as part of Dayak Ngaju oral literature. A qualitative descriptive method was used to explain the anecdotal texts in depth. The data consisted of six Palui stories: Palui Tulak Namuei, Bapa Palui Tulak Mambuwu, Bapa Palui Tunggu Parei, Bapa Palui Mananjaru Indu Palui, Indu Palui Buhau bara Huma, and Palui Tulak Mamisi. The findings show that all six stories contain complete anecdotal text structures, including abstraction, orientation, crisis, reaction, and coda. The humorous and satirical elements appear mainly in the crisis and reaction sections, distinguishing them from other text structures. The stories are also supported by clear building elements, such as theme, characters, setting, plot, and point of view.

The rapid development of digital service platforms, particularly online motorcycle taxi services, has transformed modern economic transaction patterns, where the relationship between drivers and consumers is categorized as an ijarah (service lease) contract. However, in practice, various forms of breach of contract (wanprestasi) frequently occur and potentially harm one of the parties. This study aims to analyze the concept of the ijarah contract, identify the forms of wanprestasi, and review them based on Sharia Economic Law principles. This qualitative normative research employs a literature-based approach, utilizing secondary data from classical fiqh books, DSN-MUI fatwas, the Indonesian Civil Code, and reputable academic journals, which are analyzed descriptively-analytically. The findings reveal that breaches occur in three typologies: unilateral cancellation by consumers (ta'addi), negligence and fictitious account manipulation by drivers (taqshir and tadlis), and disproportionate cancel fee policies by platforms, indicating structural dzulm. From a sharia perspective, the settlement of wanprestasi requires compensation (ta'widh) calculated based on actual loss without riba elements, while classifying technical obstacles as force majeure under a fault-based liability approach. This study implies the need to reconstruct the digital ecosystem so that it is not only formally valid but also enforces substantive justice based on maslahah (public interest), al-‘adl (justice), mas,uliyyah (responsibility), and tawazun (proportional balance)

This study aims to describe the implementation of Islamic school culture in shaping the religious character of students at SMK Islam Insan Mulia. The research employed a descriptive qualitative approach based on interview transcripts with three students from different vocational programs, namely Mechanical Engineering, Accounting, and Culinary Arts. Data were analyzed through data condensation, thematic coding, data presentation, and interpretive conclusion drawing to obtain a comprehensive understanding of students’ experiences. The findings indicate that Islamic school culture is implemented through religious routines, student discipline, teacher guidance, ethical vocational learning, and the development of a clean and orderly school environment. These practices contribute to the formation of religious character, which is reflected in students’ worship awareness, moral responsibility, honesty in learning, discipline, cooperation, and future orientation. The study also identified several challenges, including limited student independence, peer dependence in group assignments, and the gradual development of facilities in a new vocational program. These findings suggest that Islamic school culture needs to be managed consistently through habituation, teacher role modeling, continuous monitoring, and integration with vocational competencies. The study implies that strengthening Islamic school culture can support both religious character formation and vocational readiness among students.

This study examines the phenomena of code-switching and code-mixing in the digital interactions of Indonesian Generation Z on Instagram. Using a sociolinguistic approach with virtual ethnography, data were collected from 1,200 posts and comments published between January and June 2024, complemented by in-depth interviews to explore the factors influencing language choice. The findings reveal that code-switching occurred in 68.4% of the data, with intrasentential switching as the dominant pattern (47.3%), followed by intersentential switching (38.6%) and external switching (14.1%), indicating Generation Z’s high multilingual competence. Code-mixing appeared in 82.1% of the data, primarily through the insertion of English vocabulary into Indonesian (63.2%), followed by regional languages such as Javanese, Sundanese, and Betawi (27.1%), particularly in nostalgic, culinary, and emotionally expressive content. The main factors influencing these practices include social identity, community affiliation, communicative efficiency, emotional expression, and audience context. The study concludes that code-switching and code-mixing function as deliberate communicative strategies that reflect Generation Z’s hybrid identity in digital spaces, offering important implications for digital sociolinguistics, language education, language policy, and digital content development.

This study examines human resource competence in improving financial management at the Public Service Agency of Gorontalo State University, a public higher education institution that operates under a flexible financial management model while remaining accountable for public funds. The main problem addressed is how financial management personnel translate regulatory knowledge, technical skills, and professional attitudes into efficient, effective, and accountable financial governance. This study aims to analyze the competence of financial management personnel and explain its contribution to strengthening institutional financial management. A qualitative descriptive approach was employed through interviews, observation, and document analysis involving bureau leaders, financial work team officials, treasurers, and financial managers across relevant work units. The findings show that knowledge competence is reflected in personnel understanding of regulations, policies, financial systems, budgeting procedures, reporting requirements, and the linkage between budget and institutional performance. Skills competence is demonstrated through financial administration, transaction recording, document verification, use of financial information systems, reconciliation, reporting, and preparation of accountability documents. Attitudinal competence appears in professionalism, compliance, integrity, prudence, responsibility, and openness to evaluation and audit. Financial management has been directed toward performance-based planning, expenditure control, budget realization monitoring, reporting, supervision, and audit follow-up. However, challenges remain in regulatory adaptation, system integration, data quality, document timeliness, account-code accuracy, inter-unit coordination, and consistency of audit follow-up. The study concludes that strengthening human resource competence is essential for improving financial management that is efficient, effective, accountable, and performance-oriented in public university financial governance.

The practice of money politics remains a serious challenge in the implementation of the 2024 General Election and the 2024 Regional Elections in Indonesia, as it has the potential to undermine the principles of fairness, honesty, and democratic integrity. This study aims to analyze the role of the Election Organizer Ethics Council (DKPP) in adjudicating violations related to money politics, particularly from the ethical perspective of election organizers. The method used is a qualitative approach through literature study of laws, regulations, and DKPP decisions. The findings indicate that DKPP plays a strategic role in maintaining the neutrality and professionalism of election organizers by enforcing the code of ethics, imposing sanctions, and supervising behaviors that may involve or tolerate money politics practices. Although DKPP's authority is limited to the ethical domain and does not extend to criminal law enforcement, its existence remains crucial as a moral guardian within the electoral system. Therefore, synergy between DKPP, law enforcement institutions, and public participation is necessary to minimize money politics and to realize democratic and integrity-based elections.

The development of Artificial Intelligence (AI) technology has created various digital innovations, but it has also generated new forms of crime through the misuse of deepfake technology. This study aims to analyze the legal liability of social media platforms for the dissemination of AI-based deepfake content and the forms of legal protection for victims of digital fraud, particularly elderly groups, in the case of the “magical money ritual” scam using the identity of Ujang Busthomi. This research employs normative legal research methods using statutory and case approaches. The results show that perpetrators of deepfake fraud can be held criminally liable under Article 28 paragraph (1) in conjunction with Article 45A paragraph (1) of the Electronic Information and Transactions Law and Article 378 of the Indonesian Criminal Code concerning fraud. In addition, social media platforms as Electronic System Providers also bear preventive and repressive responsibilities under the ITE Law, Government Regulation on Electronic Systems and Transactions, and the Personal Data Protection Law to prevent the spread of illegal content. Legal protection for victims is carried out through criminal law enforcement, personal data protection, restitution mechanisms, and the enhancement of digital literacy in society.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

Python programming has become a fundamental competence in the digital era, yet students often struggle to transform algorithmic logic into functional code. This gap between conceptual understanding and practical implementation skills requires a thorough investigation into learning challenges within the Industrial Informatics Engineering Technology (TRIN) program at Politeknik Manufaktur Bandung. Grounded in Bloom's Revised Taxonomy and Cognitive Load Theory, this descriptive quantitative study utilized a Likert-scale questionnaire and an objective comprehension test administered to 87 third-year students. Data were analyzed using descriptive statistics to map performance across three aspects: conceptual understanding, syntactic comprehension, and implementation ability. Results indicate the conceptual aspect achieved the highest average of 4.15, followed by syntax at 3.56 and implementation at 3.54, with objective test accuracy rates of 76.09%, 65.52%, and 67.36%, respectively. Major obstacles identified include difficulties with looping, debugging, and comparison operators. Therefore, enhanced structured practice and Project-Based Learning approaches are recommended to strengthen students' implementation competencies.

This community service activity aims to improve the community’s legal understanding and awareness through outreach on the National Criminal Code (KUHP) in Waisarisa Village, West Kairatu Subdistrict, West Seram Regency. The issues identified include the community’s limited understanding of the provisions of the New Criminal Code and a lack of legal awareness in daily life. The method used in this activity was a quantitative descriptive approach with a one-group pre-test and post-test design. Data collection was conducted through pre-tests, post-tests, and observations of 46 respondents who participated in the dissemination activity. The results of the activity showed an increase in the community’s legal understanding and awareness after participating in the outreach. The average pre-test score of 68.48% increased to 100% on the post-test, representing a 46.03% increase. The most significant improvement occurred in the indicators of understanding of the new Criminal Code and community legal awareness, each of which increased by 96%. These results indicate that legal outreach activities using an educational and participatory approach are effective in improving the community’s legal literacy. It is hoped that this initiative will foster a culture of legal awareness and enhance the community’s compliance with legal regulations in social life.

The enactment of Law Number 1 of 2023 concerning the Criminal Code (KUHP) has brought a fundamental paradigm reconstruction to the Indonesian criminal justice system through the explicit recognition of the "living law" (hukum yang hidup di masyarakat). This study aims to analyze the legal standing of living law within the Indonesian legal system and examine the juridical and sociological implications of integrating these unwritten norms from the perspective of Article 2 of Law Number 1 of 2023. The research method employed is normative legal research with a statutory approach. The results indicate that the positioning of living law holds a strategic standing rooted in Article 18B paragraph (2) of the 1945 Constitution of the Republic of Indonesia and is further reinforced by the Constitutional Court Decision Number 35/PUU-X/2012. Following the promulgation of Law Number 1 of 2023, Article 2 paragraph (1) formally deconstructs the rigidity of the colonial-inherited formal legality principle (Wetboek van Strafrecht) and transforms it toward a material legality principle. Consequently, living law is now recognized as a valid basis for criminal liability and acts as a complement to national law, manifested through additional criminal penalties in the form of fulfilling local customary obligations to support restorative justice. Nonetheless, the state imposes limitations through a codification mechanism into Regional Regulations guided by Government Regulations, which must be aligned with Pancasila, the 1945 Constitution, Human Rights, and general principles of law recognized by civilized nations to prevent legal uncertainty and subjective interpretations of the law.

This study examines sarcastic implicatures in the 2024 United States presidential debate between Joe Biden and Donald Trump, with a particular focus on Donald Trump’s utterances. The study aims to identify the forms and types of sarcastic implicatures employed in political discourse during the debate. A qualitative descriptive method with a pragmatic approach was used to analyze how implied meanings are constructed and interpreted within the context of political communication. The data consisted of debate transcripts and video recordings broadcast by CNN, selected based on utterances containing elements of sarcasm. Data analysis was conducted through four stages: identification, classification, coding, and interpretation. The findings reveal that sarcastic implicatures are realized in two main forms, namely indirect non-literal utterances and direct non-literal utterances. In addition, several types of sarcastic implicatures were identified, including undermining, mockery, insult, criticism, and threat. The most dominant type was undermining, which was used to weaken the image and credibility of political opponents. These findings indicate that sarcastic implicatures function as an effective rhetorical strategy in political communication to influence public opinion, shape audience perceptions, and strengthen the speaker’s political position in televised political debates.

The digital transformation of the Indonesian judicial system through the implementation of e-court and e-litigation necessitates a redefinition of conventional evidentiary laws, which have historically been governed by the Herziene Inlandsch Reglement (HIR) and the Rechtreglement voor de Buitengewesten (RBg). This research aims to analyze the evidentiary strength of electronic documents as expanded means of proof in civil proceedings and to identify the challenges regarding their implementation. The research method employed is normative legal research using a statutory approach and a conceptual approach. The findings indicate that based on the principle of functional equivalence, electronic documents hold a legal status equivalent to paper-based documents, provided they meet the requirements of integrity, accessibility, and authenticity through certified electronic signatures as mandated by Law Number 1 of 2024 concerning Electronic Information and Transactions. The evidentiary strength of an electronic document may reach the level of conclusive evidence, similar to an authentic deed, if supported by a reliable electronic system. However, implementation still faces technical hurdles concerning metadata verification and limited human resource competency within the judiciary. This research recommends the urgent need for a new codification of civil procedural law and the standardization of digital forensic procedures in trials to ensure legal certainty and justice for all parties in the digital era.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The enactment of Indonesia's Law Number 20 of 2025 on the Code of Criminal Procedure (KUHAP 2025), effective January 2, 2026, introduces a paradigmatic shift in the coordination between investigators and public prosecutors: Article 58 mandates active coordination from the investigation stage, fundamentally departing from the sequential-passive model of the former KUHAP, while Article 70 imposes a strict seven-day deadline for indictment drafting after case files are declared complete. This study examines two interconnected questions: (1) how the legal framework governing investigator–prosecutor coordination is structured under KUHAP 2025 and related legislation; and (2) how that framework is implemented in practice at the Purwakarta District Prosecutor's Office. A normative–empirical mixed-method design was employed, integrating statutory, conceptual, and case-study approaches. Data were gathered through in-depth interviews with prosecutors and investigators at Purwakarta District Prosecutor's Office and Purwakarta Police Resort, case document analysis, and field observation. The theoretical framework combines Lawrence M. Friedman's Legal System Theory and Soerjono Soekanto's Law Enforcement Theory. Findings reveal that KUHAP 2025 delivers substantial normative advancement yet harbours three critical regulatory gaps: the absence of binding technical protocols for implementing mandatory active coordination, the lack of uniform and measurable case-file completeness standards, and no formal mechanism for resolving institutional disagreements on legal interpretation. On the ground, coordination at Purwakarta still operates under the old sequential-passive pattern despite the new law: case-file returns (P-19) remain frequent, driven primarily by absent expert testimony, insufficient factual narration in examination records, and mismatches between charged articles and legal facts. A Friedman–Soekanto diagnostic reveals simultaneous dysfunction across all three legal system components substance, structure, and legal culture with the entrenched 'waiting culture' between the police and the prosecution identified as the most resistant obstacle to reform.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

This study aims to analyze the position of customary law in the new Criminal Code and the integration of restorative justice in resolving criminal cases in Indonesia. The method used is a qualitative approach with normative juridical research through legislative and conceptual approaches. The results indicate that the new Criminal Code recognizes living law, including customary law, as part of the national legal system. However, its status remains complementary and subordinate to state law. The integration of restorative justice into the criminal justice system is a progressive step that emphasizes restoring relationships between perpetrators, victims, and the community. This approach aligns with customary law values ​​that prioritize deliberation, balance, and social harmony. However, its implementation still faces various challenges, such as unclear regulations, limited official capacity, and potential conflicts with human rights principles. Therefore, regulatory strengthening, procedural standardization, and institutional capacity building are needed to ensure the integration of customary law and restorative justice can be implemented effectively, fairly, and sustainably within the Indonesian criminal justice system.

Flooding is one of the most common hydrometeorological disasters that significantly affects community life and governmental administration. Post-disaster management requires the involvement of multiple stakeholders through a collaborative approach to accelerate rehabilitation and reconstruction efforts. This study aims to analyze the humanitarian mission carried out by cadets of the Institute of Public Administration (IPDN) in post-flood management in Aceh Tamiang Regency using the Collaborative Governance framework developed by Ansell and Gash (2008). The study employs a qualitative approach with a case study method. Data were collected through document analysis, including activity reports, photographic documentation, official publications from the Ministry of Home Affairs, IPDN, local governments, and other supporting documents. Data analysis was conducted through coding, categorizing, and thematizing processes, which were subsequently interpreted based on the dimensions of Collaborative Governance. The findings indicate that the involvement of IPDN cadets represents an effective practice of collaborative governance. In the starting conditions dimension, collaboration was driven by the urgent need for rehabilitation and the limited resources available to the local government. The facilitative leadership dimension was reflected in the roles of the Ministry of Home Affairs, local governments, and the Regional Disaster Management Agency (BPBD) in facilitating coordination among stakeholders. Furthermore, institutional design was manifested through clear task allocation and coordination mechanisms, while the collaborative process was characterized by dialogue, trust, commitment, and shared understanding in supporting post-disaster recovery.

This study was motivated by the widespread use of Indonesian language that does not conform to standard linguistic rules in Instagram content created by adolescents aged 17–20 years. As a social media platform that emphasizes speed and self-expression, Instagram encourages users to employ slang, nonstandard abbreviations, code-mixing, and various other forms of language deviation. This study aims to analyze the forms of Indonesian language errors found in adolescents’ Instagram content and to identify the factors contributing to these errors. The research employed a descriptive qualitative approach using content analysis. Data were collected through questionnaires distributed to 37 respondents and through an analysis of their language use habits on Instagram. The findings reveal that the most dominant forms of language errors include letter repetition to emphasize emotion (78.3%), nonstandard abbreviations (56.7%), code-mixing between Indonesian and foreign languages (45.9%), and the use of slang (45.9%). The main factors influencing the use of nonstandard language are the desire to appear relaxed and informal (86.5%), the need for fast and practical communication (67.6%), and the influence of peer groups and social media trends. Nevertheless, most respondents are aware that these habits may negatively affect their formal language skills. This study highlights the importance of digital language literacy to help adolescents use Indonesian appropriately according to different communication contexts.

Primary healthcare centers generate both medical and non-medical waste that may pose environmental and public health risks if not properly managed. This study aims to describe the waste management practices at Kesumadadi Public Health Center, Bekri Subdistrict, Central Lampung Regency, in 2025. This research employed a descriptive design conducted in May 2025 at the Kesumadadi Public Health Center. Data were collected through observation and interviews as primary data and secondary data from the health center. Data processing included editing, coding, tabulating, and cleaning, while data analysis was carried out using checklists and questionnaires. The results showed that the segregation of medical and non-medical solid waste was not fully in accordance with standards, waste transportation to temporary storage areas did not use trolleys and lacked designated routes, there was no wastewater treatment facility for liquid waste, and the use of personal protective equipment by staff was not optimal. Waste management practices at the Kesumadadi Public Health Center have not met the required standards, particularly in waste segregation, transportation, liquid waste treatment, and occupational safety, therefore improvements are needed to reduce environmental and health risks.