Terra

Data Terra, a French national research infrastructure for Earth system observations, brings together five disciplinary poles—FORMATER (solid earth), AERIS (atmosphere), ODATIS (ocean), THEIA (continental surfaces), and PNDB (biodiversity)—to provide access to diverse environmental data and associated services. Several of these hubs support field and observational programs, yet researchers often face uncertainty about the tools, services, and resources available to assist them before, during, and after their field program. This lack of visibility leads to fragmented practices and repetition of efforts across domains.To address this challenge, we initiated an inter-pole collaboration to develop a catalog of services relevant to the needs of scientists for the entire life cycle of their field program. These services include software tools, applications, data management solutions, user support, technical assistance, and training resources. The goal is to provide a coherent and easily navigable overview of the resources offered by Data Terra and its collaborators, free from disciplinary boundaries.This effort is built on a GeoNetwork-based catalog, expanding it to accommodate cross-domain field program needs. A new dedicated thesaurus has been created to classify the diverse resources, ensure consistent tagging, and allow an eased search and findability of the resources. By structuring needs and services in a shared semantic framework, we aim to enhance discoverability, foster interoperability between poles, and better support the scientific communities conducting environmental field programs.

Hutan mangrove Desa Nelayan Seberang Medan Belawan merupakan hutan yang sepenuhnya dimanfaatin oleh masyarakat tersebut. Saat ini kondisi hutan mangrove tersebut sudah mengalami kerusakan akibat perambahan yang berlebihan dan perubahan menjadi tambak ikan yang merusak ekosistem mangrove tersebut. Tujuan dari kegiatan pengabdian kepada masyarakat ini berupa memperbaiki ekosistem mangrove dengan melakukan penanaman kembali jenis mangrove pada ekosistem mangrove, serta meningkatkan kesadaran dari masyarakat Desa Nelayan Seberang atas pentingnya hutan mangrove dalam memberikan manfaat secara ekologi, ekonomi, dan sosial bagi masyarakat pesisir. Metode dalam kegiatan ini berupa partisipatif masyarakat dalam memperbaiki ekosistem mangrove, peduli atas ekosistem hutan mangrove tersebut dengan melakukan pengawasan secara terus menerus untuk mengurangi kerusakan hutan mangrove, dan menanaman jenis Rhizophora apiculata sebagai jenis fast growing untuk percepatan pemulihan ekosistem mangrove. Hasil dari kegiatan ini berupa pemulihan ekosistem mangrove dengan melakukan penanaman pada lokasi-lokasi yang sudah kosong akibat penebangan dengan total 500 bibit yang telah tertanam pada lokasi tersebut, partsipasi masyarakat dalam menanaman sebagai wujud dalam menjaga ekosistem hutan mangrove untuk kepentingan ekologi dan ekonomi masyarakat pesisir, masyarakat juga diharapkan untuk memilihara jenis mangrove yang sudah ditanam pada lokasi tersebut dan mengganti jenis mangrove yang mati dengan bibit yang baru. Kesimpulan dari kegiatan ini penanaman hutan mangrove bertujuan untuk memperbaiki kondisi hutan mangrove di Desa Nelayan Seberang yang telah mengalami kerusakan serta meningkatkan kesadaran bagi masyarakat untuk menjaga linkungan dengan melakukan penanaman dan dapat mengurangi persentase terjadinya erosi dan bencana yang dapat merusak wilayah Desa Nelayan Seberang.

Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis metode Certainty Factor dalam mendeteksi kerusakan pada mesin Vibration Continuous Monitoring. Mesin ini digunakan untuk memantau getaran pada mesin industri, yang jika tidak terdeteksi dapat menyebabkan kerusakan lebih parah dan mengurangi efisiensi operasional. Metode Certainty Factor digunakan untuk mengukur tingkat kepastian dalam diagnosis kerusakan berdasarkan gejala yang terdeteksi. Penelitian ini melibatkan pengumpulan data melalui observasi, wawancara dengan ahli, dan studi literatur untuk membangun basis aturan dan menghitung nilai CF untuk setiap gejala. Hasil penelitian menunjukkan bahwa sistem pakar ini mampu mendeteksi kerusakan dengan tingkat kepastian yang tinggi, dengan beberapa jenis kerusakan memiliki nilai CF di atas 90%. Dengan menggunakan sistem ini, proses diagnosis kerusakan dapat dilakukan lebih cepat dan akurat, mengurangi ketergantungan pada kehadiran teknisi ahli dan mengoptimalkan pemeliharaan mesin. Penelitian ini memberikan kontribusi penting dalam penerapan kecerdasan buatan di bidang pemeliharaan mesin industri, yang dapat meningkatkan efisiensi dan mengurangi biaya operasional.

Ensuring the inclusiveness of public services remains a critical challenge in urban governance, particularly in decentralized regions characterized by unequal access and service quality. This study evaluates the level of public service inclusivity across sub-districts in Medan City using the Multi-Criteria Decision Making (MCDM) approach, specifically the Combined Compromise Solution (CoCoSo) method. The evaluation is based on ten inclusivity criteria covering physical and digital accessibility, service availability for vulnerable groups, service quality, transparency, community participation, and service innovation. The study employs primary data obtained through direct observations and semi-structured interviews with service users and stakeholders, as well as secondary data derived from official statistics and government documents. CoCoSo integrates the Weighted Sum Model (WSM) and Weighted Product Model (WPM) to generate stable and objective rankings of 21 sub-districts. The final CoCoSo scores range from 0.7262 to 10.7427. The results indicate that Medan Maimun and Medan Petisah achieved the highest and identical scores of 10.7427, reflecting strong performance in accessibility, service quality, and supporting infrastructure. In contrast, several sub-districts exhibit relatively low inclusivity scores, highlighting persistent disparities in service distribution and limited community participation. These findings underscore the need for targeted infrastructure development, expansion of inclusive digital services, and strengthening participatory feedback mechanisms to enhance equitable public service delivery. This study contributes a structured evaluation framework that can support evidence-based policymaking and regular monitoring of public service inclusivity at the local government level.

Penentuan lokasi usaha yang tepat merupakan faktor krusial dalam menentukan keberhasilan suatu bisnis. Artikel ini menyajikan pendekatan berbasis data untuk mengidentifikasi lokasi usaha yang optimal menggunakan metode K-Nearest Neighbor (KNN). Metode KNN dimanfaatkan untuk memprediksi potensi keberhasilan suatu lokasi baru dengan menganalisis tingkat kemiripannya terhadap data lokasi usaha yang telah ada. Analisis dilakukan berdasarkan sejumlah faktor, seperti demografi, aksesibilitas, dan tingkat kompetisi di wilayah tersebut. Tujuan penelitian ini adalah memberikan alat bantu pengambilan keputusan berbasis data bagi calon pengusaha agar dapat memilih lokasi usaha secara lebih informatif, mengurangi risiko kegagalan, serta meningkatkan peluang keberhasilan usaha di masa depan.

O artigo aborda elementos da inserção da Agroecologia na práxis educativa do Movimento dos Trabalhadores Rurais Sem Terra. Tem por base a pesquisa bibliográfica e documental e a vinculação com a luta pela terra. Consideradas as conexões entre Agroecologia e educação na construção e afirmação da Pedagogia do Movimento, busca evidenciar a concretização desse processo no contexto da reforma agrária. Faz referência à elaboração prático-teórica dos Sem Terra a partir do delineamento e efetividade de seu Programa Agrário. Verifica a produção de um conjunto de materiais que coloca em evidência a apreensão da Agroecologia com ênfase nas suas conexões com a educação. Destaca ações voltadas para a formação de educadores(as), com especial atenção a sete edições regionais dos Cursos Básicos de Agroecologia e Educação, ocorridos entre 2016 e 2023. Registra a publicação de quinze cadernos, boletins e livros voltados para a temática da Agroecologia e educação. Verifica que tal elaboração está colocada como produto e, ao mesmo tempo, tem subsidiado a realização de inúmeras ações, tais como: os Concursos Nacionais, a Jornada Cultural e o Plano Nacional Plantar Árvores, Produzir Alimentos Saudáveis. No que tange à formação de educadores(as), elenca a realização de dois Cursos de Especialização, de seis Seminários e de sete edições regionais do Curso Básico de Agroecologia e Educação. Sendo esse último tido como ação fundamental na promoção e massificação das conexões entre Agroecologia e educação na práxis educativa no contexto da Reforma Agrária Popular e que tem sido impulsionada pela luta dos Sem Terra no Brasil.

Pengembangan Pariwisata di Kabupaten Malang penting untuk ditindaklanjuti sebagai bagian dari peningkatan ekonomi lokal pedesaan khususnya pada Wana Wisata Winong. Selain menyajikan destinasi wisata alam untuk rekreasi dan camping ground, penting juga untuk diteliti terkait persepsi wisatawan dari perspektif fasilitas dan aksesibilitas. Penelitian ini menggunakan pendekatan deskriptif terhadap 97 wisatawan yang dipilih secara aksidental di lokasi penelitian Desa Bringin, Kabupaten Malang. Variabel Fasilitas yang akan dianalisis adalah berkaitan dengan gazebo, taman, kantin, toilet, mushola, area parkir dan fasilitas pendukung lainnya. Sedangkan indikator aksesibilitas berkaitan erat dengan kondisi jalan, jarak, dan petunjuk lokasi wisata. Analisis data menggunakan statistik deskriptif untuk mengkategorikan indikator dalam berbagai kriteria. Hasil analisis menunjukkan kesimpulan bahwa Persepsi wisatawan terhadap fasilitas di Wana Wisata Winong berada pada kategori baik artinya wisatawan merasa fasilitas yang ditawarkan oleh Wana Wisata Winong sudah memenuhi kepuasan wisatawan selama berada di tempat wisata. Persepsi wisatawan terhadap aksesibilitas Wana Wisata Winong termasuk ke dalam kategori baik artinya wisatawan merasa bahwa aksesibilitas menuju baik dan sesuai dengan harapan wisatawan.

Civil engineering projects must be carried out with due care, respecting the safety limits established by standards according to the type of structure.This process of investigation and critical analysis requires engineers to develop tools and methods that facilitate the search for the most suitable solution, considering the several possible approaches to the problem.In deterministic methods, all values and parameters involved in the analysis are known; however, due to the large amount of design data and inherent uncertainties, these values are treated as variables that may be reassigned depending on the conditions, while ensuring that structural failure does not occur.This study employed optimization methods using Excel and its Solver module to compare, from both technical and economic perspectives, different dam configurations (concrete and earthfill) built on soft and stiff clayey soils.The analysis made it possible to determine the optimal base length of the cross-section and to assess the safety factors against sliding and overturning, all within normative limits.The results indicated that although the concrete dam requires a smaller volume of material, its cost is nearly ten times higher than that of the earthfill dam, highlighting the importance of optimization, through computational tools, in supporting decision-making in civil engineering projects.

Language serves as a vital medium in oral traditions—not only for communication but also as a vehicle for transmitting values and reinforcing collective identity. The Basarang ritual in Nagari Kasang, Minangkabau, is a traditional ceremony performed to commemorate the birth of kembar sumbang (twins of opposite sex) and to restore social and cultural harmony within the community. Despite its cultural richness, linguistic studies on Basarang remain scarce compared to other Minangkabau traditions. This research investigates the functions of language in the Basarang ritual through Roman Jakobson’s (1960) model of language functions, employing a qualitative framework and an ethnography of communication approach (Spradley, 1997; Duranti, 1997). Data were collected through observation, interviews, and documentation of ritual utterances, mamang (chants), pantun (poetic verses), and prayers. The analysis categorizes linguistic expressions according to Jakobson’s six language functions—referential, emotive, conative, phatic, metalingual, and poetic—allowing systematic interpretation of their realization in ritual discourse. Findings reveal that language in Basarang functions not merely as a communicative tool but as a symbolic medium that legitimizes customary law, nurtures social solidarity, and transmits moral and cultural values. This study extends Jakobson’s framework by embedding it within the ethnolinguistic context of Minangkabau ritual discourse, offering contributions to both linguistic theory and cultural preservation.

Stunting remains a major public health challenge in Indonesia, with national prevalence among children under five reaching 21.6% in 2022, according to the Ministry of Health. This condition, defined by the World Health Organization as a height-for-age less than -2 SD, is associated with long-term consequences including impaired cognitive development, reduced educational attainment, and diminished economic productivity. Addressing stunting is therefore critical to achieving Sustainable Development Goals (SDGs) related to hunger, health, and education. Despite multiple national initiatives, early identification of stunting risk is still limited by reliance on conventional, reactive surveillance methods. Recent advances in machine learning (ML) provide promising alternatives for proactive stunting prediction, with several studies reporting high predictive accuracy using ensemble methods, hybrid frameworks, and geographically weighted models. Building upon this evidence, the present study develops and evaluates ML models for stunting risk prediction using a large dataset of 10,000 records from North Sumatra, Indonesia. The dataset included three predictor variables—age, height, and weight—and a target variable, nutritional status (Normal, Stunted, Severely Stunted, Tall). Four algorithms were compared: K-Nearest Neighbors (KNN), Naïve Bayes, Decision Tree, and Random Forest. Performance was assessed using accuracy, precision, recall, F1-score, and ROC area, with 10-fold cross-validation ensuring robust estimation. Results demonstrated that Decision Tree (88.6% accuracy) and Random Forest (88.3% accuracy) outperformed KNN (84.7%) and Naïve Bayes (72%). ROC areas further confirmed the superiority of ensemble-based approaches, particularly Random Forest (0.979). Statistical significance was tested using McNemar’s test, revealing that Decision Tree and Random Forest achieved comparable performance (p = 0.651), both significantly outperforming KNN and Naïve Bayes (p < 0.05). This study contributes a context-specific evaluation of ML methods for stunting prediction in North Sumatra, emphasizing not only predictive accuracy but also interpretability to support health policy and program implementation. By bridging data-driven insights with actionable decision support, the proposed framework advances progress toward SDG-aligned strategies and provides a foundation for more targeted and preventive interventions in child nutrition and growth monitoring.