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The increasing demands of global trade, the risk of transboundary diseases, and the stringency of sanitary and phytosanitary (SPS) standards require a more integrated, transparent, and risk-based national quarantine system. The partial readiness of digital systems and traceability mechanisms has the potential to weaken Indonesia’s food security and export competitiveness toward the vision of Golden Indonesia 2045. This study aims to analyze the strategic role of the quarantine system in national development, identify institutional and technical root problems, and formulate the most concrete and feasible policy alternatives. The method used is policy analysis with a multi-criteria analysis (MCA) approach to compare several solution alternatives based on effectiveness, efficiency, technical aspects, and political feasibility. The results indicate that the digital transformation of the national quarantine system based on traceability and risk-based intelligence is the most superior policy option, as it can simultaneously address data fragmentation, improve service efficiency, and strengthen biosecurity surveillance. This study recommends the development of a Quarantine Super App, full implementation of e-certification, integration with the National Logistics Ecosystem and Customs, and the strengthening of an artificial intelligence-based risk profiling system. Gradual implementation accompanied by performance indicator-based evaluation is key to the success of the policy in enhancing national food security and export competitiveness.

The development of modern times is marked by the increasing number of companies that facilitate people’s daily activities, one of which is freight forwarding service companies. This condition has led to increasingly intense competition among delivery service companies, requiring each company to implement appropriate strategies in order to maintain its existence and win the competition. One method that can be used to analyze marketing competition strategies is game theory. Game theory is a mathematical concept used to analyze decision-making in competitive situations involving two opposing parties. This study aims to analyze the competition between JNE and J&T using a game theory approach. The method employed is linear programming with the assistance of the POM QM 5.0 application to determine the optimal strategies for each company. The results show that the optimal game value obtained is -1.715. Under these conditions, the optimal strategy for JNE involves a mixed strategy consisting of pricing, delivery estimation, and service security strategies. Meanwhile, the optimal strategy for J&T involves a combination of delivery punctuality, service security, and online application strategies.

This article analyzes the role of Work-Life Balance, Motivation, and Work Environment on Employee Performance in the manufacturing industry. Work-Life Balance (WLB) can be measured on time management, mental health, job satisfaction, and overall performance. Work Motivation is seen from intrinsic and extrinsic factors, while the Work Environment is seen from a conducive, safe, and comfortable atmosphere. This study uses a quantitative approach using SmartPLS. This method was chosen because of its effectiveness in testing complex causal models with many variables and its flexibility assuming data distribution. Primary data was collected from 98 employees via Google from Likert scale, using the seneus technique. Analysis includes evaluating measurement models for validity and reliability and testing hypotheses. The SEM-PLS analysis confirms that Work-Life Balance, Motivation, and Work Environment all have a positive and significant impact on employee performance. WLB showed the most dominant influence among the three factors. This research is an important factor that significantly affects employee performance. Maintaining and improving these factors, especially WLB, is essential for fostering employee motivation, a sense of security, and maximizing work output, thereby contributing to the overall success of the organization.

This study examines the paradigm shift in termination of employment from unfair dismissal to corporate efficiency by comparing Law Number 13 of 2003 concerning Manpower and Law Number 6 of 2023 concerning Job Creation. Two research questions are proposed. First, how changes in the regulation of termination of employment shape this paradigm shift. Second, how the regulation of termination of employment due to efficiency in Law Number 6 of 2023 compares with Law Number 13 of 2003 in terms of worker protection. This study uses a normative juridical method. The results show that the paradigm shift occurs in three dimensions: the basic framework (from ultimum remedium to flexibility), the efficiency position (from limited reasons with high compensation to broad reasons with lower compensation), and the logic of protection (from preventive to repressive, based on immature social security). The regulation of termination of employment due to efficiency in Law Number 6 of 2023 continues to provide protection, but qualitatively decreases due to the loss of objective parameters and the absence of preventive obligations. The proposed strengthening strategies include establishing objective efficiency parameters, strengthening oversight mechanisms, evaluating the Job Loss Guarantee program, and ensuring strict interpretation by the judiciary. This study concludes that without these improvements, the paradigm shift could potentially conflict with the principles of the rule of law and social justice.

Phishing is a form of cybercrime that has experienced a significant increase in frequency within Indonesia. This fraudulent practice aims to deceive victims into surrendering personal data or sensitive financial information by impersonating trusted institutions. Such crimes result in substantial losses for both individuals and the business sector, particularly concerning personal data protection and digital transaction security. This research aims to analyze the legal regulations and the role of supervisory institutions in addressing phishing threats in Indonesia using a normative legal research method. The legal analysis encompasses the implementation of the Electronic Information and Transactions Law (UU ITE), specifically Article 28, paragraph (1), and the Personal Data Protection Law (UU No. 27 of 2022), which serves as the primary foundation for privacy rights. Furthermore, this study examines the Consumer Protection Law and the Indonesian Criminal Code (KUHP) as enforcement instruments. The strategic roles of the Financial Services Authority (OJK) and Bank Indonesia (BI) are also discussed in the context of risk mitigation within the financial sector. The findings indicate that law enforcement effectiveness is still hindered by low digital literacy, limited forensic technology infrastructure, and jurisdictional challenges in tracking cross-border perpetrators. Consequently, a synergy between regulatory strengthening, international collaboration, and massive public education is required to comprehensively suppress these cybercriminal activities.

This research was motivated by the low Food Security Index in Serang City, particularly in Unyur Village, which became the target area of the Safe Food Village Program initiated by the Serang BBPOM in 2021. The program aims to increase community independence in achieving sustainable food safety through community empowerment, especially among housewives. This study aims to analyze the implementation of the Safe Food Village Program in Unyur Village. The research used a descriptive qualitative method and applied the Van Meter and Van Horn policy implementation model as the analytical framework. The results indicate that the program implementation has not yet run optimally or sustainably on an independent basis. The main obstacles include poor communication and coordination between village authorities and food safety cadres, limited human resources and lack of financial incentives for cadres, low leadership commitment in integrating the program into village work plans, and budget limitations after BBPOM intervention ended. Nevertheless, the social conditions and community infrastructure in Unyur Village actually have strong potential to support program sustainability if utilized strategically by the village government.

The agricultural sector plays a vital role in the economy and food security; however, the rapid growth of the tourism sector in Badung Regency has accelerated the conversion of agricultural land, potentially affecting the welfare of rice farmers. Farmers’ welfare is determined not only by economic factors but also by health conditions, education, and social relationships reflected in the value of menyama braya within the Subak system. This study aims to analyze the effects of farm income, farmer exchange rate, health, education, and menyama braya on the subjective well-being of rice farmers in Subak Munggu, Badung Regency. A quantitative approach was employed using a sample of 86 rice farmers selected through simple random sampling. Data were collected through observation, in-depth interviews, and questionnaires and were analyzed using Partial Least Squares (PLS). The results indicate that farm income, farmer exchange rate, health, and menyama braya have a positive and significant effect on the subjective well-being of rice farmers. In contrast, education does not have a significant effect on farmers’ subjective well-being. These findings suggest that improving farmers’ subjective well-being depends not only on economic conditions but also on health status and harmonious social relationships within the Subak community. Therefore, efforts to sustain farming activities, improve farmers’ health, and preserve the value of menyama braya should be strengthened to enhance the subjective well-being of rice farmers.

Automatic facial expression recognition is a significant challenge in human-computer interaction with broad relevance in mental health, security, and behavioral analysis. This study proposes the implementation of Deep Learning using a custom Convolutional Neural Network (CNN) architecture to classify seven basic emotion categories: angry, disgust, fear, happy, sad, surprise, and neutral. Key challenges such as lighting variations and visual feature ambiguity in the FER2013 dataset are addressed through image pre-processing techniques, data augmentation, and the use of Batch Normalization and Dropout layers to prevent overfitting. The research methodology involves a systematic architectural design with three main convolution blocks optimized for computational efficiency. Experimental results show that the proposed model achieved a validation accuracy of 68.2%. Performance analysis based on F1-Score reveals that the "Happy" emotion has the highest detection rate (0.85) due to contrasting facial geometric features, while the "Fear" emotion is the most difficult class to identify (0.41). This study concludes that the use of an optimized standalone CNN architecture provides competitive and efficient performance compared to heavier transfer learning models, making it feasible for implementation on devices with mid-range hardware specifications.

This research aimed to evaluate the effectiveness of safeguarding regional assets in the form of official vehicles at the Regional Financial and Asset Management Agency (BPKAD) of Sikka Regency. Asset security is an essential component in the management of regional government assets to ensure orderly governance, physical security, and legal certainty regarding asset ownership. This study employs a qualitative approach, with data collected through interviews, observations, and documentation. Data analysis was conducted descriptively based on indicators of administrative security, physical security, legal security, as well as supervision and control. The results show that the security of official vehicle assets has been implemented through administrative recording, safekeeping of ownership documents, and monitoring of vehicle usage. However, its effectiveness is not yet optimal, as there are still official vehicles that have not been returned after the end of officials’ terms of office, along with weak enforcement of sanctions and limited periodic monitoring. Factors affecting the effectiveness of asset security include budget constraints, low user awareness, and suboptimal implementation of internal control systems. This study recommends strengthening supervision, conducting re-inventory of official vehicles, enforcing stricter sanctions, and improving coordination among regional government agencies to achieve more orderly, transparent, and accountable asset management

This research investigates climate change adaptation frameworks for Indonesian port infrastructure and workforce safety through integrated risk management approaches addressing physical facility resilience and human resource protection. Through qualitative analysis involving 37 stakeholders including port authorities, terminal operators, marine engineers, climate scientists, occupational health specialists, and port workers, this study examines how climate threats including sea level rise, extreme weather, flooding, and heat stress affect both port operations and worker safety requiring coordinated adaptation strategies. Results demonstrate that integrated frameworks can reduce climate-related operational disruptions by 50-70%, decrease worker heat illness by 60-80%, improve emergency response effectiveness by 55-75%, and enhance infrastructure resilience by 45-65% when combining physical hardening with workforce protection measures. Key challenges include immediate infrastructure damage (ports already experiencing 3-8 annual flooding shutdowns), worker heat illness epidemic (150+ cases in 2023 with 300% increase), investment decision urgency ($15-25 billion infrastructure commitments 2024-2030), and organizational coordination across fragmented stakeholders. Findings reveal that successful climate adaptation requires holistic sociotechnical approaches treating ports as integrated human-infrastructure systems where worker safety and facility resilience prove inseparable, supporting Indonesia's maritime economic security and coastal community welfare through comprehensive climate risk management.

Floods are one of the most frequent hydrometeorological disasters in Indonesia and cause various social, economic, and environmental impacts on communities. In disaster situations, women often face greater vulnerability than men due to limited access to resources, high domestic responsibilities, and minimal protection in disaster policies. Although the government has adopted a gender mainstreaming policy in development, its implementation in disaster management policies remains suboptimal. This study aims to analyze how flood management policies integrate gender perspectives and identify the impacts of floods on women. The study used a qualitative approach using literature study methods and media content analysis to understand the dynamics of policies and women's experiences in disaster situations. The results show that disaster management policies still tend to focus on technical and infrastructure aspects, while women's specific needs are often overlooked, particularly regarding security in refugee camps, access to reproductive health services, and increased domestic burdens during crises. This condition indicates that the integration of a gender perspective in disaster policies still faces various structural and institutional barriers. Therefore, efforts are needed to strengthen the implementation of gender-responsive policies so that disaster management does not only focus on physical mitigation, but is also able to provide fairer and more inclusive protection for all community groups.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

Jesus’ declaration “I am the gate” in John 10:7-9 is a rich theological metaphor that holds significant meaning for both Christological reflection and contemporary pastoral ministry. This article aims to examine the meaning of this statement through a biblical exegetical approach and pastoral theology. The research employs a qualitative method based on literary analysis, including a study of the Greek text and a contextual reading of the Gospel of John. The findings indicate that the metaphor of the “gate” emphasizes Jesus’ identity as the sole way to salvation and as the source of abundant life for believers. Moreover, this image highlights Christ’s pastoral function in granting access to a living relationship between God and humanity while providing protection and guidance for His flock. The pastoral implications of this text invite church ministers to imitate Christ as the gate by fostering openness, offering spiritual security, and promoting a liberating form of pastoral care. Thus, John 10:7–9 not only conveys profound theological insights but also offers a relevant pastoral paradigm for the Church’s mission in the contemporary context.

The increase in the number of elderly residents demands the provision of residential facilities that not only meet physical needs, but also support the psychological and social well-being of their users. This study aims to formulate the concept of behavioral architecture-based nursing home design by focusing on the relationship between elderly activity patterns, privacy levels, and spatial relationships of space in the local context of Indonesia. This study uses a qualitative-descriptive approach in the framework of architectural design, with data collection through observation of elderly activities, site analysis, and documentation studies. Activity data was analyzed to identify space needs and usage patterns, then synthesized with site characteristics to formulate the concepts of zoning, circulation, and behavior-based spatial relationships. The results of the study show that the activities of the elderly form a layered behavioral structure, including residential and health activities as primary needs as well as social, productive, and educational activities as support for psychosocial welfare. Hierarchically arranged space zoning based on privacy levels has been proven to improve the readability of the space, sense of security, and comfort of the elderly. The integration of green open spaces as part of the activity system also strengthens support for light physical activity and social interaction. This study confirms that the application of behavioral architecture allows the translation of data on elderly behavior and site conditions into a contextual, humanist, and quality-of-life-oriented design concept. These findings provide practical implications for designers and policymakers in the development of sustainable elderly housing.

Implementing REST in modern applications, security will be a key foundation for its development because the REST architecture requires communication between servers. In this study, we will enhance REST request security by using SHA-1 tokens and the Keccak algorithm. Tokens are the access keys for making requests. The token generation process is carried out on the server; the client will generate a token, and the server will return a valid token. This valid token can be used to request data from the server. Adding a token will impact the security and speed of REST. The token will be verified by the server and declared valid. If valid, the server will return the data; otherwise, the server will send an error message. Compared to using a token, data security is more assured. Furthermore, adding a token parameter will increase the token verification process, thus increasing the number of processes, which will impact speed. The results of this test show that server data security is better maintained and more secure compared to using a token, because anonymous users cannot access the data. The API access speed without a token is 48.8 milliseconds, while using a SHA-1 token is 62.3 milliseconds, and the Keccak algorithm is 58.9 milliseconds. The time efficiency reduction for implementing the SHA-1 token algorithm is 27.67% or 13.5 milliseconds, and the Keccak algorithm is 26.6% or 10 milliseconds.

This study aims to analyze the implementation of Islamic marketing and digital-based Corporate Social Responsibility (CSR) at Pegadaian Syariah Surabaya from the perspective of maqashid sharia and assess how the integration of the two supports the sustainability of the institution and public trust. The background of the study departs from the development of digital technology that requires Islamic financial institutions to maintain transparency, fairness, data security, and sharia compliance in all marketing activities and social programs. The research method uses a descriptive qualitative approach through in-depth interviews, participatory observation, and documentation analysis on digital services and CSR activities of Pegadaian Syariah. The results show that digital Islamic marketing not only functions as a promotional tool, but also as a sharia education medium that upholds the values ​​of shidq, amanah, and maslahah, thereby supporting hifz al-din, hifz al-mal, and hifz al-‘aql. Meanwhile, the implementation of CSR covers the fields of religion, health, education, and empowerment of MSMEs that are in line with the five dimensions of maqashid sharia. The integration of Islamic marketing and CSR creates a strategic synergy that increases public trust, strengthens the institution's legitimacy, and ensures the sustainability of Pegadaian Syariah in the digital era. This research provides theoretical contributions regarding maqasid-based marketing and CSR strategies, as well as practical recommendations for strengthening sharia governance and digital education programs.

Women Farmer Groups play an important role in strengthening household food security, yet limited food diversity remains a challenge in rural communities. This study analyzes the empowerment process of the Melati Women Farmer Group (KWT Melati) through an integrated farming program in improving household food security in Sarengkol Hamlet, Sukagalih Village, Sukaratu District, Tasikmalaya Regency. The research employed a qualitative descriptive method with a case study approach. Data were collected through in-depth interviews, observation, and documentation. The findings show that the empowerment process was participatory, gradual, and sustainable, implemented through five stages. The enabling stage expanded women’s access and participation through social support and extension facilitation. The empowering stage strengthened technical and organizational capacities as well as women’s roles in decision-making. The protecting stage was reflected in social solidarity and mutual cooperation as informal protection. The supporting stage appeared through continuous assistance and community support. The maintaining stage indicated organizational independence despite reduced external aid. The study concludes that empowerment through integrated farming strengthens household food security based on social capital and women’s autonomy.

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

The purpose of the study was to analyze the legality and limits of police repressive actions against protests that resulted in riots. This type of research is normative legal research with a legislative approach, a case approach and a conceptual approach. The analysis used in this study is an analytical descriptive technique. The results of the research show that the law is always used as a guideline in limiting all citizens' behavior to stay on the right path. Protests often lead to riots, destruction of public facilities, attacks on officers, and violations of public order, so that there is a criminal threat for protesters who do not maintain order and security. The regulation of police repressive actions in protests that result in chaos still needs special refinement in the context of protests, among which the substance of repressive actions must also harmonize technological developments and digitalization in security maintenance. The rules need to be updated by adding objective indicators of threats, public accountability mechanisms, transparent documentation obligations, measurable proportionality standards, and room for recovery for victims of abuse of power.