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This study aims to conceptually examine the role of visual media in Arabic vocabulary learning and its relevance in the context of education in the digital era. Vocabulary mastery is a fundamental component in learning Arabic; however, in practice, vocabulary learning often encounters various challenges, such as the abstract nature of vocabulary, low student motivation, and the dominance of conventional teaching methods. This study employed a qualitative approach using library research. Data were obtained through a review of relevant scholarly sources, including books, journal articles, and previous research related to visual media and Arabic language learning. Data were collected through documentation techniques and analyzed using content analysis to examine the concepts, roles, and effectiveness of visual media in Arabic vocabulary instruction. The findings indicate that visual media, both conventional and digital, play a significant role in improving vocabulary comprehension, strengthening memory retention, and increasing students’ motivation and engagement in the learning process. Visual media also help transform abstract vocabulary into more concrete and contextual representations, making learning more meaningful and effective. Nevertheless, the implementation of visual media still faces several challenges, including limited facilities, teachers’ digital competence, and the suboptimal use of technology in learning activities. Therefore, it is necessary to develop innovative instructional strategies and enhance teachers’ competencies to ensure that visual media can be utilized effectively and sustainably in Arabic language learning.

This study aims to describe the role of Biology Education Community Service Program students in improving the quality of biology learning at SMPN 1 Mappakasunggu. This study used a descriptive qualitative approach with data collection techniques in the form of observation, interviews, and documentation. The results showed that the Community Service Program students played an active role in various aspects, from lesson planning, implementation of teaching and learning activities, to evaluation of learning outcomes. In addition, the Community Service Program students were also involved in mentoring simple practicums that helped students understand biology concepts more practically. They also contributed to the development of innovative learning media that facilitated students' understanding of the material. The presence of Community Service Program students at the school had a significant positive impact on improving students' conceptual understanding, motivation, and learning activity. Students showed higher enthusiasm in participating in biology learning and experienced improvements in their learning outcomes. Thus, the Community Service Program teaching program is a tangible form of student contribution in supporting the improvement of education quality, especially biology learning in schools with limited resources. This program also provides valuable experience for students to be directly involved in the world of education and have a positive impact on society.

The management of material and labor costs at Gregors Barbershop is still manual and not formally structured, resulting in wastage of consumable materials, suboptimal labor utilization, and difficulties in determining service prices that align with the expected profit margins. Material costs, such as hair gel, tissues, disposable razors, and alcohol/disinfectants, are not recorded systematically, leading to frequent mismatches between stock and actual needs, while labor costs are calculated improvisationally without considering productivity and service targets. This activity aims to improve the ability of owners and employees to plan, control, and evaluate operational costs systematically, ensuring efficiency, resource optimization, and business profitability. The method uses an applied, hands-on approach, including the identification of partner needs, preparation of relevant training modules, direct operational mentoring, and evaluation with follow-up. The object of the activity is Gregors Barbershop in Batu Aji District, Batam City, which offers services such as modern men’s haircuts, classic shaves, shaving, hair treatments, and the sale of grooming products like pomade and hair oil. The results show increased efficiency in the use of consumable materials, more productive labor management, more systematic cost planning, and the ability to set service prices in line with costs and profit margins. It is recommended to implement a digital recording system and productivity-based incentives to ensure more accurate cost control, more efficient operations, and sustainable business profitability.

This study aims to map the direction of criminal punishment policy formulated in criminal law provisions, test claims of humanizing punishment through sanction design and the principle of individualization, and describe forms of repression that operate through normative flexibility, law enforcement discretion, and morally nuanced criminalization. The research method used is normative legal research, utilizing both a legislative and conceptual approach to analyze the norms, principles, and objectives of punishment. The results show that Article 51 articulates the objectives of punishment, including the rehabilitation of offenders, community protection, and the restoration of social balance. However, this provision functions primarily as normative legitimacy for a flexible sanction architecture. The existence of alternative punishments and oversight mechanisms refines the form of punishment while expanding state intervention into the social life of offenders. Furthermore, the regulation of conditional sentences and adjustments to the implementation of sanctions increase the discretion of law enforcement officials. Repression does not disappear, but rather shifts through regulations on morality, public order, recognition of living law, and the threat of symbolic punishment, shifting the relationship between the state and individuals toward ongoing administrative control.

This study aims to assess the financial performance of the Sukoharjo Regency Government during the 2023-2024 period by employing cash flow statements as the primary analytical tool. Cash flow statements are considered essential as they provide a clear picture of liquidity conditions and the actual capacity of local governments to manage cash inflows and outflows. This research applies a descriptive quantitative approach using secondary data obtained from audited Budget Realization Reports and Cash Flow Statements. Financial performance is evaluated through revenue effectiveness ratios and expenditure efficiency ratios as key indicators of fiscal management. The results indicate that regional revenue realization consistently exceeded the established targets throughout the study period, placing revenue performance in the very effective category. This finding reflects the local government’s ability to maximize revenue potential during the post-pandemic economic recovery phase. However, the analysis of expenditure efficiency reveals that spending management has not yet reached an optimal level, as expenditure realization remained close to the allocated budget limits. These findings demonstrate that strong revenue performance does not necessarily correspond with efficient expenditure control. Consequently, local government financial performance should be evaluated comprehensively by integrating both revenue effectiveness and expenditure efficiency perspectives. This study contributes empirically to public sector accounting literature and offers practical insights for policymakers to strengthen budget control mechanisms and promote sustainable financial management at the regional level.    

This study examines the development of scientific publications on the topic of competency development and performance of the State Civil Apparatus (ASN) in Indonesia in the period 2014–2024 using a bibliometric analysis approach. The researcher uses data from scientific articles that have been published and meet the research criteria. Data was obtained from the Google Scholar database with the help of the Publish or Perish application, then analyzed and visualized using VOSviewer to identify publication patterns, research trends, and linkages between topics. From the entire series of article processing processes, 339 scientific publications were identified with a total of 3,460 citations. The results of the analysis show a significant increase in the number of publications, from one publication in 2014 to 103 publications in 2024. The keyword analysis grouped the articles into six main clusters, with the topic "ASN" as the most dominant theme discussed. These findings show increasing academic attention to the development of ASN competencies and performance as an important part of bureaucratic reform, increasing the professionalism of the apparatus, and efforts to improve the quality of public services in Indonesia.

This study aims to describe the implementation of multisensory strategies in improving the early reading skills and comprehension of dyslexic children in grade 2 of Bugel 2 Public Elementary School. The subject of the study was a student with dyslexia characteristics who had shown difficulties in phonological aspects, letter recognition, reading syllables, and reading comprehension. The method used was direct observation using an early reading test instrument, a comprehension test, and a learning behavior observation sheet. The results showed that the implementation of multisensory strategies (Visual-Auditory-Kinesthetic-Tactile) through letter tracing activities, reading with the help of sounds, arranging letter cards, and reading together exercises was able to improve reading accuracy, strengthen letter-sound relationships, and foster students' self-confidence. Thus, multisensory strategies were proven effective in helping dyslexic children master early reading skills and comprehend simple texts. This study provides an important contribution to the development of more inclusive and effective teaching methods, especially for students with dyslexia, who require a more holistic and comprehensive approach to improve their literacy skills. As a suggestion, the implementation of this strategy can be expanded by involving more students and considering variations in the types of texts and teaching materials used.

This study aims to improve the learning outcomes of fourth-grade students in science through the application of an experimental learning model on the material of changes in the state of matter. The study used a Classroom Action Research (CAR) approach with the Kemmis and McTaggart model which includes the stages of planning, implementation of actions, observation, and reflection. The subjects of the study were 20 fourth-grade students of SDN Daan Mogot 1. The study was conducted in two cycles. Data collection techniques included learning outcome tests, observation of teacher and student activities, and documentation. Data analysis was carried out quantitatively by calculating the average value and percentage of learning completion, and qualitatively through descriptive analysis of the observation results. The results showed that the application of the experimental method was able to improve the quality of the learning process and student learning outcomes. Teacher activity increased from the sufficient category in cycle I to very good in cycle II, while student activity increased from the good category to very good. Increased student activity in observing, discussing, recording results, and drawing conclusions from experiments had a positive impact on understanding the concept of changes in the state of matter. Student learning completion also increased although not all of them reached the classical standard of 80%. Thus, the experimental method is effective in improving the activeness, quality of the learning process, and the science learning outcomes of fourth-grade students. Although material reinforcement and a variety of learning strategies are still needed to optimize learning outcomes.

The low level of interest in learning for elementary school students remains a fundamental problem in the implementation of basic education in Indonesia. One factor suspected of contributing to this condition is the lack of optimal fulfillment of students' physical health and nutritional needs. The Free Nutritional Meal Program (MBG) is strategic government policy aimed at improving students' nutritional status as an effort support learning readiness and the quality of learning in schools. This study aims to analyze the effect of the Free Nutritional Meal Program on increasing interest in learning for elementary school students. The study used a quantitative approach with a quasi-experimental design using a one-group pretest-posttest model. The research subjects included elementary school students and teachers directly involved in the implementation of the MBG program. Data collection techniques were carried out through a learning interest questionnaire, observation of student learning activities, and structured interviews with teachers. The data obtained were analyzed using descriptive statistics and inferential statistics in the form of paired t-tests determine differences in learning interest before and after the program implementation. The results of the study are expected to show an increase in student interest learning after participating in the Free Nutritional Meal Program, which is characterized by increased attention, activeness, and motivation in the learning process. These findings are expected to provide empirical evidence that the Free Nutritional Meal Program not only contributes improving students' physical and health conditions, but also has positive impact on the psychological and academic aspects elementary school students.

Village Fund management plays a crucial role in promoting local development and community empowerment. However, its implementation often encounters challenges related to limited community participation, insufficient transparency, and the varying effectiveness of government programs. This study aims to analyze the accountability of Village Fund management in Benteng Poco Village, Wae Ri’i District, Manggarai Regency, focusing on three dimensions: process accountability, program accountability, and financial accountability. Employing a descriptive qualitative approach with a case study design, data were collected through in-depth interviews, direct observation, and reviews of official village documents. The findings indicate that process accountability has been implemented adequately through village deliberations and the use of the Siskeudes administrative system, although community understanding and participation remain limited. Program accountability is carried out through regular evaluation meetings, yet the effectiveness of several programs is hampered by insufficient technical support and lack of sustainability. Financial accountability demonstrates a commitment to transparency, particularly through the publication of budget information, although the presentation of financial data remains difficult for some villagers to fully understand. This study highlights the need to enhance community involvement, simplify public financial information, and strengthen program support mechanisms to achieve transparent and accountable Village Fund governance.  

The increasing incidence of violence against women and children requires an active and effective role of public organizations in providing sustainable protection. This study aims to analyze the role of the Population Control, Women’s Empowerment, and Child Protection Office (DP5A) of West Sumba Regency in handling cases of violence against women and children. The research employs a descriptive qualitative approach. Data were collected through interviews, observations, and document analysis from purposively selected informants and analyzed using data reduction, data presentation, and conclusion drawing, supported by source and technique triangulation. The findings indicate that DP5A has performed its facilitative, educational, representative, and technical roles; however, their implementation has not been optimal. Major obstacles include limited facilities such as the absence of a permanent safe house, inadequate operational infrastructure, limited human resource capacity, underutilization of information technology and digital media, as well as cultural and administrative constraints. This study concludes that institutional strengthening, capacity building of personnel, optimization of technology utilization, and enhanced cross-sector collaboration are essential to improve the effectiveness of protection for women and children at the local level.

Land sale and purchase agreements are legal acts frequently carried out in social practice. However, such agreements are often executed under hand without the involvement of authorized officials as required under land law. The practice of under-hand land sale and purchase gives rise to various legal issues, particularly concerning the validity of the agreement, the transfer of land rights, and legal protection for the parties in the event of disputes. This article aims to analyze the legal status of under-hand land sale and purchase agreements from the perspectives of civil law and land law, examine the legal consequences arising from such agreements on the transfer of land rights, and review the forms of legal protection available to the parties. The research method employed is normative juridical, using statutory and conceptual approaches. The findings indicate that under-hand land sale and purchase agreements may be considered valid under civil law as long as they fulfill the legal requirements of a valid agreement; however, they do not automatically result in the transfer of land rights under land law. Consequently, the legal position of the buyer becomes weak in the event of a dispute. Therefore, public legal awareness and the role of the state in strengthening dissemination and enforcement of land law are necessary to ensure legal certainty and protection.

Digital transformation in the land sector is part of the state’s efforts to enhance efficiency, transparency, and legal certainty within the land registration system. One of the strategic policies implemented is the issuance of electronic land certificates as a substitute for conventional certificates. However, the implementation of electronic land certificates raises several legal issues, particularly concerning their evidentiary value and the guarantee of legal certainty for holders of land rights. This article aims to analyze the legal regulation of electronic land certificates within Indonesia’s land registration system, examine their evidentiary strength in civil disputes, and identify the legal and technical challenges in their implementation. The research employs a normative juridical method using statutory and conceptual approaches. The findings indicate that electronic land certificates have a valid legal basis and possess evidentiary strength equivalent to that of conventional certificates, provided that the principles of validity and security of electronic systems are fulfilled. Nevertheless, their implementation still faces challenges related to technological infrastructure readiness, public legal literacy, and potential vulnerability to cybercrime. Therefore, strengthening technical regulations, enhancing system security, and conducting continuous public dissemination are necessary to ensure legal certainty for holders of electronic land certificates.

Learning Al-Qur’an and Hadith in secondary schools is still largely influenced by traditional assessment practices that prioritize written examinations and memorization, which are insufficient to capture students’ actual competencies. This situation often leads to less meaningful learning and limits the development of students’ deep understanding and Islamic character. In essence, Al-Qur’an and Hadith education is intended not only to ensure mastery of theoretical content but also to encourage the internalization and application of Islamic values in everyday life. For this reason, authentic assessment is viewed as a suitable approach because it evaluates learning outcomes in a more comprehensive manner, covering cognitive, affective, and psychomotor aspects. This study aims to analyze the implementation of authentic assessment in Al-Qur’an and Hadith learning at the secondary school level and to examine its effectiveness in improving students’ understanding and learning engagement. The research employed a quantitative method, with data collected through a Google Form questionnaire distributed to students and analyzed using descriptive analysis. The results demonstrate that authentic assessment contributes to deeper conceptual understanding, enhances practical skills such as proper Qur’anic recitation based on tajwid rules and hadith memorization, and promotes active, confident, and responsible learning attitudes. Overall, authentic assessment provides more meaningful learning experiences and represents an effective alternative assessment strategy to improve the quality of Al-Qur’an and Hadith learning in secondary schools.

The development of Islamic Religious Education in Banjar Land represents a long historical process marked by social, political, and religious transformations. Since the era of traditional da‘wah conducted by ulama through halaqah, surau-based instruction, and religious study circles (majelis taklim), the Islamic education system in this region has continuously evolved, eventually giving rise to formal educational institutions such as madrasahs and Islamic-based schools. This study aims to chronologically describe these historical dynamics, examine the factors influencing educational change, and analyze the roles of ulama, the Banjar Sultanate, and community institutions in the transformation of Islamic education. The research employs a qualitative method with a historical approach, involving the stages of heuristics, source criticism, interpretation, and historiography. Data were collected from scholarly literature, local manuscripts, and the works of Banjar ulama. The findings indicate that the transformation of Islamic education in Banjar Land, from the period of Islamization to the emergence of madrasahs and Islamic Religious Education in public schools, occurred through at least three major phases: (1) family- and community-based traditional da‘wah through langgar (prayer houses) and halaqah institutions; (2) the establishment of modern madrasahs in the twentieth century as a response to colonialism and modernity; and (3) the integration of Islamic education into the formal national education system in the post-independence era. This study affirms that Islamic education in Banjar Land possesses distinctive characteristics, is adaptive in nature, and is deeply rooted in local culture.

Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices. Abstract: Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices.

Vitro Fertilization (IVF) technology is a biotechnological innovation that helps infertile couples conceive. However, the application of this technology has raised ethical debates regarding the nature of life, human dignity, and the moral boundaries of artificial reproduction. This article aims to examine the practice of IVF through an ethical deontology perspective, a moral approach that emphasizes obligations, principles, and respect for human beings as ends, not means. The research method used is a literature review with a descriptive-analytical approach to bioethics and moral philosophy literature. The results of the study indicate that based on deontological ethics, the application of IVF can be considered moral if it respects human dignity, does not treat embryos as mere objects, and is carried out with intentions that are in accordance with human moral obligations.

Steganography is a method to hide confidential messages in digital media so that they are not detected by unauthorized parties. Unlike cryptography which protects the content of messages through encryption, steganography hides the message itself. One popular technique is the Least Significant Bit (LSB), which replaces the least important bit on the pixel with a secret message bit. However, conventional LSB methods such as 1-bit or 3-bit have limitations due to the compromise between insertion capacity and visual quality of the media. This study proposes an LSB-based video steganography method with an adaptive multi-bit embedding approach. This technique determines the number and position of bits that are dynamically inserted based on the local brightness and texture levels of each video frame, with Laplacian operators used to analyze both high and low textured areas. The process includes frame and audio extraction, frame-by-frame embedding, inserted video reconstruction, and decoding using video cover references. The evaluation was carried out quantitatively using the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) metrics, as well as qualitatively through visual comparison. The results showed that the adaptive multi-bit method was able to maintain visual quality with a PSNR of 45.23 dB and SSIM of 0.9424, and increased the insertion capacity by up to 2–3 times compared to the 1-bit adaptive method. Thus, this approach effectively balances imperceptibility and insertion capacity on dynamic video steganography systems.  

This study aims to analyze how the integration of traditional knowledge and digital knowledge shapes organizational strategies in Micro, Small, and Medium Enterprises (MSMEs) in responding to an increasingly competitive business environment. A quantitative approach was employed by applying variance-based Structural Equation Modeling (SEM) using SmartPLS 3 software to 100 MSME respondents. The research model was developed by incorporating three main latent constructs, namely digital knowledge, traditional knowledge, and organizational strategy, which were measured using several indicators relevant to the MSME context. The analysis results indicate that all research instruments meet good reliability and validity criteria, with outer loading values ranging from 0.719 to 0.902, Average Variance Extracted (AVE) values above 0.64, and composite reliability exceeding 0.87. Structural model testing reveals that digital knowledge has a strong and significant effect on organizational strategy (β = 0.799), while traditional knowledge shows a very small effect (β = 0.024). The research model explains 66.4% of the variance in organizational strategy. These findings confirm that digital transformation is the primary factor in shaping competitive strategies among MSMEs, while traditional knowledge continues to serve as a foundation for local context and cultural values. Therefore, the implementation of a hybrid management approach is considered effective in assisting MSMEs in formulating more adaptive, innovative, and sustainable strategies.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.