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The Indonesian Archipelagic Sea Lane II (ALKI II) constitutes a strategic route stretching from the Sulawesi Sea to the Indian Ocean with trade values reaching USD 1.5 million daily and traversed by more than 36,773 vessels annually. The complexity of maritime security threats in this region has increasingly intensified following the relocation of the capital city to East Kalimantan, thereby demanding an effective decision support system to assist Indonesian Warship Commanders in making operational decisions that are rapid, accurate, and in accordance with applicable legal provisions. This research employs a qualitative approach through in-depth interviews with four maritime expert sources, with data analysis using NVivo 12 software. Analysis results identified maritime operational complexity and the urgent need for a comprehensive decision support system. These findings subsequently served as guidance in designing a Decision Support System (DSS) with a tab-based interface that integrates international legal frameworks such as UNCLOS 1982, Law No. 3/2025 on TNI, and related national regulations to generate structured action recommendations along with their legal foundations. Research findings demonstrate that the developed DSS successfully integrates operational, legal, and situational aspects to support decision-making that is rapid, accurate, and legally compliant. This system has proven to enhance the effectiveness of Indonesian Warship Commanders in addressing the complexity of maritime security (KAMLA) challenges in ALKI II through the provision of legally-based action recommendations from national and international frameworks accessible in realtime during operational situations.  

Indonesia is an archipelagic country that has a diversity of ethnic groups as well as a rich heritage of arts and culture. One form of art found is weaving with clove flower motifs. The purpose of this study is “The Application of Clove Flower Motif Weaving Technique on Ready to Wear.” The main material used is shoelaces, as a weaving material that is easy to shape and unique. The method applied is Research and Development (R&D), which includes: identifying potential and problems, data collection through literature study, observation, documentation, product design, design validation, to the process of making and evaluating the final product. The results of the study show that the clove flower motif weaving technique can be well applied to ready to wear, especially on the vest and pants parts, producing a modern fashion. Applying this technique requires high precision, especially in the process of arranging the weaving pattern and integrating it with the main material. This study is expected to serve as a reference in developing innovative designs. The conclusion of this research is that the weaving technique gives a unique and aesthetic impression on ready to wear. The suggestion for making woven products applied to ready to wear is that during the process of ironing glue on the weave, the heat should not be too high because the shoelace material is easily burned, and the ends of the weave should be burned to prevent fraying.

Indonesia, as the largest archipelagic state in the world, lies on international trade and transportation routes and possesses abundant natural resources. This strategic position creates both opportunities and challenges, particularly in the maritime domain, which requires the Indonesian Navy’s significant contribution in force deployment planning to counter future threats and disruptions. The evolving strategic environment necessitates specific policies and strategies for the Navy to enhance its strength in safeguarding sovereignty, territorial integrity, and national security. This development is pursued through the establishment of the Minimum Essential Force (MEF), a fundamental standard that defines the minimum level of naval capability required to effectively execute missions and functions. This study employs a qualitative descriptive method, using primary data from expert and user interviews as well as secondary data from observation and documentation, to analyze the selection of helicopter escorts utilized by the Indonesian Navy.

The implementation of web-based archive digitalization can help improve performance in the field of archive recording, which was previously still manual at the Naval Academy. Some of the obstacles include archiving that is still manual, many files lost due to piled-up storage systems, and human resources in the field of archiving that are still lacking. This study aims to increase time and cost efficiency in archive processing, reduce the risk of loss and damage to archives, and improve the abilities and skills of human resources in the process of using digital archives. This type of research is descriptive qualitative. The data collection techniques are interviews, observation, and documentation with respondents as well as appropriate documentation. The data analysis was carried out through the processes of data reduction, data display, as well as verification or drawing conclusions. The research results can help improve the efficiency and security of archiving by minimizing risks, so that archive management can enhance efficiency and effectiveness, focusing on the implementation of web-based applications.


This study discusses the leadership values reflected in the folklore of Panglima Wangkang in Marabahan as a representation of the local wisdom of the Banjar-Bakumpai community. Panglima Wangkang is recognized as a prominent figure who played a significant role in resisting Dutch colonialism in the Barito region. This research aims to examine Panglima Wangkang not only as a war hero but also as a symbol of cultural unity, religious values, and traditional leadership that still lives in the collective memory of society today. The study employs a qualitative historical method with a postcolonial approach. The data were collected through library research involving historical archives, scientific journals, books, and documented folklore. The research stages included heuristics, source criticism, interpretation, and historiography. The findings reveal that Panglima Wangkang’s leadership reflects the values of courage, strategic intelligence, loyalty, religiosity, and social concern. His well-known military strategy, referred to as the “Trojan Horse” technique, demonstrates his tactical ability in confronting colonial forces. In addition, religious values are reflected in his message to always maintain ablution and in the belief regarding martyrdom. The story of the golden bullet also symbolizes the community’s respect for the struggle and honor of local heroes. Panglima Wangkang’s cross-ethnic identity as both Banjar and Bakumpai further strengthened community unity in facing colonialism. This study shows that folklore functions not only as a cultural heritage but also as a medium for transmitting leadership values and local identity that remain relevant in the social life of the Marabahan community today.

Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

Kegiatan pertambangan memiliki resiko merubah fungsi lahan. Penelitian ini bertujuan melakukan perbandingan terhadap penggunaan citra Google Satellite Imagery dan ESRI World Imagery dalam interpretasi sebaran lahan tambang. Interpretasi menggunakan pendekatan spasial yang diolah menggunakan ArcGIS 10.8. Hasil menunjukkan bahwa terdapat perbedaan luasan tambang yang teridentifikasi berdasarkan sumber citra satelit yang digunakan. Google Satellite Imagery mampu mendeteksi luasan pertambangan yang lebih besar, yaitu 12.022,02 Ha, dibandingkan ESRI World Imagery yang menghasilkan 11.485,41 Ha, sedangkan data acuan dari KLHK tahun 2023 mencatat luas tambang sebesar 10.798,46 Ha. Perbedaan ini dipengaruhi oleh resolusi spasial, kejelasan tekstur permukaan, serta pembaruan data pada masing-masing citra. Persentase perubahan luas lahan pertambangan yang dihitung dari perbandingan Google Satellite Imagery dengan data KLHK mencapai 11,33%, sementara perbandingan dengan ESRI World Imagery hanya sebesar 6,37%. Hasil ini menunjukan Google Satellite Imagery lebih sensitif dalam mengidentifikasi ekspansi tambang, meskipun berpotensi menghasilkan overestimation, sedangkan ESRI World Imagery cenderung lebih konservatif dalam estimasi luas. Untuk memastikan konsistensi dan akurasi pemantauan perubahan lahan tambang, diperlukan pemilihan sumber citra yang tepat, penggunaan metode interpretasi yang konsisten, serta validasi silang dengan data resmi maupun observasi lapangan.

Perkembangan teknologi informasi saat ini mendorong organisasi, termasuk Usaha Mikro, Kecil, dan Menengah (UMKM), untuk meningkatkan efisiensi operasional melalui penerapan sistem yang terintegrasi. Penelitian ini bertujuan untuk merancang Enterprise Architecture (EA) pada UMKM Golden Spice menggunakan pendekatan The Open Group Architecture Framework (TOGAF) melalui metode Architecture Development Method (ADM). Permasalahan utama yang dihadapi adalah sistem penjualan dan manajemen stok yang masih dilakukan secara manual dan tidak terintegrasi, sehingga menyebabkan inefisiensi operasional, ketidaksesuaian data, serta keterbatasan dalam pengambilan keputusan. Metode penelitian yang digunakan meliputi observasi, wawancara, dan studi literatur dengan referensi terbaru pada rentang tahun 2021-2026. Hasil penelitian menunjukkan bahwa perancangan Arsitektur Perusahaan yang diusulkan mampu mengintegrasikan sistem penjualan dan manajemen stok secara terstruktur, sehingga meningkatkan efisiensi operasional dan akurasi data. Selain itu, sistem yang diusulkan juga mampu menyediakan informasi secara real-time untuk mendukung pengambilan keputusan berbasis data. Penelitian ini diharapkan dapat menjadi solusi praktis bagi UMKM dalam mendukung transformasi digital serta menjadi referensi bagi penelitian selanjutnya.

Circulating tumor DNA (ctDNA) has emerged as a promising liquid biopsy biomarker for real-time monitoring of tumor dynamics. In urothelial carcinoma (UC), effective monitoring of treatment response remains a clinical challenge due to the limitations of conventional imaging and invasive procedures. This systematic review aims to synthesize the existing evidence on the association between ctDNA dynamics and treatment response monitoring across various stages and therapeutic settings. A comprehensive systematic review was conducted. We included cohort studies, randomized controlled trials, and meta-analyses that evaluated ctDNA in UC patients undergoing treatment. Data were extracted on patient population, methodology, treatment, sampling strategy, clinical outcomes, and statistical associations. The review encompassed 80 studies. Baseline ctDNA positivity was strongly prognostic, associated with a 4- to 6-fold increased risk of recurrence or death (HR 4.23-6.56). Dynamic ctDNA clearances or significants reduction during treatment, were strongly associated with improved outcomes. Showing hazard ratios for adverse events as low as 0.10-0.31. ctDNA demonstrated time advantages of 53-90 days over radiographic detection. ctDNA is a potent tool for monitoring treatment response in urothelial carcinoma. It provides superior prognostic and offers a significant lead time for detecting treatment failure. Future research must focus on standardizing methodologies and validating ctDNA-guided therapeutic.

Concrete volume calculation is a crucial factor in preventing cost overruns when preparing the Budget Plan (RAB) for construction projects. In arch bridge projects, the complex structural geometry often makes conventional volume calculation methods complicated and prone to errors, particularly due to the geometric complexity of the arch beams. This study aims to analyze the comparison of concrete volume calculation results between the conventional method and the Building Information Modeling (BIM) method using Autodesk Revit in terms of cost-effectiveness. The case study was conducted on the Short Span II Pulau Balang Bridge Duplication Project in the Nusantara Capital City (IKN), Penajam Paser Utara Regency, East Kalimantan. The research objects include substructures (bore piles, pile caps, abutments, piers, and wing walls) and superstructures in the form of arch beams. The research method employs a quantitative approach by calculating concrete volumes conventionally using AutoCAD and Microsoft Excel, as well as calculating with BIM Autodesk Revit through three-dimensional modeling and Quantity Take-Off (QTO) exports. The results indicate that the BIM Autodesk Revit method generates a larger concrete volume compared to the conventional method, resulting in a higher total cost based on the BIM volume. The total cost for the conventional method amounted to IDR 142,613,245,996.12, while the BIM Autodesk Revit method amounted to IDR 143,127,208,186.60. These differences are influenced by the level of calculation detail, the simplification of shapes in the conventional method, and the precision of modeling in Autodesk Revit.

. The effort to re-visualize regional architectural elements combined with modern touches is known as neo-vernakular architecture. In North Sumatra, there are various ethnic groups, including Batak, Mandailing, Malay, and others, each possessing rich traditional architectural values. This study aims to identify and analyze traditional architectural elements applied to the façade of the North Sumatra Regional House of Representatives (DPRD) building. The DPRD North Sumatra building is one of the government buildings that functions as a workplace for representatives of the people, council members, and the secretariat in carrying out governmental duties and public services. The building is located on Jalan Imam Bonjol with an area of approximately 8,000 square meters. This study uses a qualitative descriptive method with data collection techniques through direct field surveys and literature studies related to the façade design of the DPRD North Sumatra building. The results show that the neo-vernakular character on the building façade is represented through several architectural elements, such as exposed columns, sunshading, opening forms, and other supporting elements that reflect a combination of traditional and modern architectural features.  

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.

The development of information technology has encouraged the transformation of government administration toward digital-based governance, including correspondence management systems. Digital correspondence governance plays an important role in improving administrative effectiveness, bureaucratic efficiency, and the quality of public services. However, the implementation of digital correspondence systems in local government institutions still faces several challenges, including limited system integration, inadequate human resource capacity, and unstandardized electronic archive management. This study aims to analyze and construct a digital correspondence governance model in realizing administrative effectiveness at Dinas Komunikasi, Informatika, Statistik dan Persandian Kabupaten Gowa. This study employed a qualitative approach with a descriptive research type. Data collection techniques were conducted through observation, in-depth interviews, and documentation. Research informants were selected using purposive sampling techniques, while data analysis employed the interactive model of Miles, Huberman, and Saldaña through data condensation, data display, and conclusion drawing. The results indicate that the implementation of digital correspondence governance has improved the speed of document disposition, administrative efficiency, accessibility of documents, and organizational work coordination. However, the implementation has not been fully optimal due to constraints in system integration, human resource capacity, and digital archive management. This study produced a digital correspondence governance model emphasizing the strengthening of information technology, enhancement of employee competence, integration of administrative systems, and development of a digital work culture. It is recommended that government institutions strengthen the integration of digital correspondence systems, improve employee competencies, and establish sustainable electronic archive management standards.

 Education in vocational high schools (SMKs) requires effective data management to improve students’ academic achievement and discipline. At SMK Islam Secang, students’ academic scores and attendance data have so far functioned merely as administrative archives, making it difficult to identify patterns of student performance. This study aims to classify students based on academic achievement and discipline by applying the K-Means Clustering algorithm using RapidMiner. The data used in this study consist of scores from six subjects and attendance records of 35 students from the Light Vehicle Engineering (TKR) department over two semesters. The data were obtained from original school records, compiled using Microsoft Excel, and processed in RapidMiner. The clustering process employed four clusters for academic achievement and two clusters for discipline, with Euclidean Distance used as the similarity measure. The results show that in the first semester, students were grouped into four academic achievement clusters: high achievement (6 students), moderate achievement (7 students), potentially problematic (14 students), and problematic (8 students). In the second semester, the distribution changed to high achievement (19 students), moderate achievement (14 students), potentially problematic (4 students), and problematic (1 student). Meanwhile, student discipline was divided into two clusters: disciplined (31 students) and undisciplined (4 students). These results demonstrate that K-Means Clustering is effective in mapping student conditions, revealing patterns in academic performance and attendance, and supporting educational evaluation, learning planning, and early detection of students who require academic or disciplinary intervention. Keywords: Data Mining, K-Means Clustering, Academic Achievement, Discipline, RapidMiner, Vocational High School (SMK)

This study aims to analyze the paradox of stunting in Yemen, particularly the disconnect between humanitarian response priorities and children's actual nutritional needs amid the ongoing conflict. Stunting, a form of chronic malnutrition, is a significant public health issue in Yemen, exacerbated by the conflict's disruption of food, healthcare, and sanitation systems. Despite the clear evidence of rising stunting rates, international humanitarian interventions tend to focus on addressing acute crises, such as extreme hunger, while neglecting long-term nutritional needs. Using a qualitative literature review approach, the research synthesizes data from archival documents, reports, and secondary sources to explore the structural causes of stunting and the challenges faced by humanitarian actors in Yemen. The findings reveal that the protracted conflict, economic collapse, and humanitarian blockades have worsened food insecurity and malnutrition. Moreover, the humanitarian response often prioritizes short-term survival over long-term prevention of stunting, resulting in a lack of integrated, multisectoral interventions. The study emphasizes the need for a paradigm shift in humanitarian policies to incorporate long-term development strategies and integrate stunting prevention. This research contributes to the academic understanding of the humanitarian-development nexus and offers recommendations for more holistic interventions.

Indonesia, as a country located at the intersection of three tectonic plates, is highly vulnerable to earthquakes. This has led to the development of various innovations in earthquake-resistant housing. An interesting phenomenon can be found in Sigi District, Central Sulawesi, where several vernacular houses of the Kaili people constructed with a hybrid design (wooden frame and mud walls) have proven to withstand the major earthquake that struck Palu, Central Sulawesi, in 2018. This study aims to examine the architectural typology of non-engineered hybrid houses within the Kaili community using a qualitative descriptive approach and typological analysis. Data collection involved direct observation, interviews, and literature reviews, with a focus on the spatial and physical systems of the buildings. The sample for the study was determined through purposive sampling with specific criteria. Data analysis was conducted using a qualitative descriptive approach. The results of the study indicate that, despite changes in materials due to adaptations to technological advancements and reconstruction policies, the spatial layout and fundamental structure of the houses have maintained traditional philosophies. These houses demonstrate the integration of cultural values, local knowledge about seismic activity, and the use of local materials, which allow for both structural flexibility and some rigidity, contributing to the buildings’ resilience. These findings highlight the importance of combining technical and cultural approaches in designing earthquake-resistant houses within a local context.

This study aims to analyze the participation of the faithful in the Sacrament of Penance and to identify the pastoral challenges influencing its practice in the Vicariate of West Sulawesi, Archdiocese of Makassar. Theologically, the Sacrament of Penance serves as a means of reconciliation that restores the relationship between humanity, God, and the Church. However, in contemporary contexts, its practice encounters various social, psychological, and pastoral dynamics. This research employed a descriptive quantitative approach involving 267 respondents from four parishes through questionnaire distribution. The data were analyzed using percentage-based statistics to map participation frequency, spiritual motivation, level of understanding, post-sacramental experiences, and perceived obstacles. The findings indicate that although most respondents demonstrate strong theological understanding, sincere spiritual motivation, and positive spiritual experiences after receiving absolution, participation remains largely seasonal and periodic. The principal challenges include psychological factors such as shame and anxiety, structural limitations related to schedule and accessibility, and formative deficiencies such as insufficient ongoing catechesis. The study concludes that the primary issue is not a crisis of faith in the sacrament itself, but a gap between theological awareness and concrete practice, thus calling for more dialogical, communicative, and contextual pastoral renewal.

Gorontalo Province possesses significant mineral resource potential, particularly gold, silver, and copper, positioning the mining sector as a key driver of regional economic growth. However, a shortage of skilled local labor and the scarcity of vocational educational institutions in the mining field severely hamper human resource development in this sector. This study aims to design a Mining Polytechnic Campus in Gorontalo by applying sustainable architecture principles, encompassing energy efficiency, environmentally friendly materials, sound wastewater management, and user comfort. The research approach involves literature studies, field observations, interviews with relevant stakeholders, and quantitative data analysis regarding resource potential, the number of senior high school students, and educational space requirements. The design results emphasize site arrangement, building mass configuration, utility systems, and interior and exterior spaces that support academic, social, and community activities. The application of sustainable architecture principles is expected to create a campus that not only meets the needs of mining vocational education but also contributes to environmental conservation and sustainable regional development.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.