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All Journal Partner Jurnal Biologi Tropis ULIN: Jurnal Hutan Tropis Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Statistika dan Aplikasinya PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Pertanian Agros
Mitha Rabiyatul Nufus
Politeknik Pertanian Negeri Kupang
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PENGARUH VARIASI KONSENTRASI LIMBAH AIR CUCIAN BERAS DAN VARIASI DOSIS PUPUK NPK TERHADAP TANAMAN CABAI MERAH (Capsicum Annum L.) Pega, Eusabius Paul; Mariana Teresa Pega; Mitha Rabiyatul Nufus; Rosalia Silaban; Rio Agung Nugroho
Jurnal Pertanian Agros Vol 27 No 3 (2025): EDISI JULI
Publisher : Fakultas Pertanian Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v27i3.104

Abstract

Red chili is widely used as a key ingredient in various traditional dishes. However, its availability often fluctuates due to seasonal changes, pest and disease outbreaks, and distribution challenges, resulting in unstable market prices. This study aims to evaluate the effects of different concentrations of rice washing wastewater and varying dosages of NPK fertilizer on red chili plants (Capsicum annuum L.). It also investigates whether there is a significant interaction between these two treatments on the plant's growth and yield. The research employed a factorial Completely Randomized Design (CRD) with two treatment factors and one control. The first factor was the concentration of rice washing wastewater at three levels: 150 ml/plant, 300 ml/plant, and 450 ml/plant. The second factor was the dosage of NPK fertilizer: 10 g/plant, 15 g/plant, and 20 g/plant. The results indicated a significant interaction between the wastewater and fertilizer treatments on stem diameter at 4 weeks after transplanting and fruit diameter. The best outcome was observed with the application of 450 ml/plant of fermented rice washing water, which significantly improved plant height at 4 weeks, number of fruits, and fruit weight.
Model Estimasi Volume Tegakan Eucalyptus Urophylla di Hutan Lindung Lelogama, Nusa Tenggara Timur Pathibang, Meilyn Renny; Matatula, Jeriels; Almulqu, Aah Ahmad; Adrin, Adrin; Ora, Yudhistira; Ari, Maria Patrisia; Nufus, Mitha Rabiyatul; Kusumawardhani, Dina Tiara
ULIN: Jurnal Hutan Tropis Vol 9, No 2 (2025)
Publisher : Fakultas Kehutanan Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/ujht.v9i2.22377

Abstract

Penelitian ini bertujuan untuk menghitung potensi tegakan, mengembangkan model estimasi volume tegakan ampupu, dan menghitung potensi tegakan berdasarkan model terbaik. Model estimasi volume tegakan ampupu (Eucalyptus urophylla S.T. Blake) di kawasan Hutan Lindung Lelogama disusun berdasarkan 130 pohon contoh, 70 pohon sebagai pohon model, dan 60 pohon sebagai validasi model. Hasil penelitian menunjukkan bahwa potensi tegakan ampupu di Hutan Lindung Lelogama berkisar antara 41.133,28 m³ – 42.123,58 m³ dengan rata-rata volume per Ha = 269,02 m³. Model terbaik dalam pemodelan dipilih berdasarkan koefisien determinasi maksimum (R²), bias terkecil (SEE), dan validasi model berdasarkan simpangan baku (SR), simpangan agregat (SA), akar kuadrat rata-rata simpangan baku dan bias (e). Berdasarkan model terbaik untuk estimasi volume ampupu adalah V=5,81D1,678T-0,032, dengan nilai R2 = 81,5%, SEE= 0,123, SR= 0,214%, SA=-0,267%, RMSE=-0,205 dan e=-0,183. Estimasi volume tegakan yang dihitung berdasarkan model terbaik (V=5,81D1,678T-0,032) berkisar antara 47.109,49 m³ - 48.190,96 m³ dengan volume rata-rata per hektar sebesar 307,94 m³.
Vegetation Analysis and Tree Architecture Model at the Kupang State Agricultural Polytechnic Arboretum Nababan, Badia Roy Ricardo; Nufus, Mitha Rabhiyatul; Takoy, Darmawana
Jurnal Biologi Tropis Vol. 25 No. 4a (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4a.10421

Abstract

The Kupang State Agricultural Polytechnic Arboretum is a vegetation collection located in an area with arid and semi-arid climate characteristics. Understanding the vegetation composition and tree architecture model is important information for effective arboretum management and conservation planning in the East Nusa Tenggara region. This study aims to analyze the vegetation composition to determine the Importance Value Index (IVI) at various growth phases and to identify the dominant tree architecture models in the Kupang State Agricultural Polytechnic Arboretum.Vegetation data collection was conducted using the line transect method, covering the seedling to tree phases. The data were analyzed using INP calculations, while tree architecture models were analyzed descriptively and exploratively based on tropical tree architecture references. The results of the vegetation analysis showed that dominant species such as Kirinyuh (Chromolaena adorata), Gewang (Corypha utan), Gamal (Gliricidia sepium), and Jati Putih (Gmelina arborea) had the highest importance values in each growth phase, indicating high adaptability to dry land conditions. The most commonly found tree architecture model was the Troll Model (in 9 of 12 species), characterized by a broad and leafy canopy. The Attims and Rauh models were also found in several species with specific ecological functions. The dominance of adaptive species and the Troll Model indicate that the arboretum functions optimally as shade, windbreak, and erosion control, which are essential for ecological functions in drylands. This study provides important ecological baseline data for conservation management and sustainable green open space development in the semi-arid region of East Nusa Tenggara.
STRATEGI PENGELOLAAN HUTAN BERKELANJUTAN DI NTT: PENDEKATAN K-MEANS CLUSTERING TERHADAP DATA POTENSI HUTAN Nufus, Mitha R.; Silaban, Rosalia; Nababan, Badia R. R.; Pega, Eusabius P.
Partner Vol 30, No 2 (2025): Edisi November 2025
Publisher : Politeknik Pertanian Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35726/jp.v30i2.7434

Abstract

ABSTRAKHutan berperan penting sebagai paru-paru dunia dengan menghasilkan oksigen dan menyerap karbon dioksida melalui fotosintesis. Provinsi Nusa Tenggara Timur (NTT) memiliki kawasan hutan lindung dan hutan produksi yang berfungsi strategis dalam menjaga keseimbangan ekosistem. Namun, peningkatan jumlah penduduk mendorong konversi lahan, sehingga mengancam keberlanjutan hutan. Analisis menggunakan pendekatan K-Means Clustering menunjukkan bahwa 16 kabupaten/kota di NTT memiliki potensi hutan lindung dan hutan produksi yang kecil. Temuan ini menegaskan perlunya strategi pengelolaan berkelanjutan, khususnya di wilayah dengan potensi kecil melalui program rehabilitasi hutan dan pencegahan konversi lahan. Sementara itu, wilayah dengan potensi hutan yang besar direkomendasikan untuk dikembangkan lebih lanjut sebagai pusat pengelolaan dan pemanfaatan hasil hutan berkelanjutan.Kata kunci: K-Means Clustering, Hutan Lindung, Hutan Produksi, Nusa Tenggara Timur, Potensi Hutan 
Penyuluhan Agroforestri dan Edukasi Lingkungan: Membangun Kesadaran Hijau di SMA Negeri 1 Kupang Timur Syah, Firman; Rusadi, Nusrah; Silaban, Rosalia; Selanno, Frenly Marvi; Nufus, Mitha Rabiyatul; Lamanda, Sukriati Andesti; Marpaung, Sutan Sahala Muda
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 1 (2026)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v7i1.7813

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) dengan tema “Penyuluhan Agroforestri dan Edukasi Lingkungan: Membangun Kesadaran Hijau di Sekolah” dilaksanakan di SMA Negeri 1 Kupang Timur dengan tujuan meningkatkan pemahaman siswa terhadap konsep kehutanan berkelanjutan dan perilaku ramah lingkungan. Kegiatan ini dilatarbelakangi oleh pentingnya pendidikan lingkungan dalam membentuk karakter generasi muda yang sadar terhadap kelestarian alam. Metode pelaksanaan dilakukan melalui lima tahapan, yaitu pre-test untuk 36 siswa, penyuluhan materi agroforestri, penyuluhan edukasi lingkungan, post-test untuk evaluasi hasil belajar, serta pemberian bibit tanaman kehutanan berupa Merbau (Intsia bijuga) dan Pinang (Areca catechu) sebagai simbol aksi penghijauan sekolah. Hasil kegiatan menunjukkan adanya peningkatan rata-rata nilai siswa dari 84,4 menjadi 94,4 poin dengan kenaikan 11,8%, yang menandakan efektivitas pendekatan partisipatif dalam meningkatkan literasi lingkungan. Peningkatan pengetahuan, kegiatan ini juga mendorong perubahan sikap dan perilaku siswa terhadap lingkungan melalui aksi nyata konservasi di lingkungan sekolah berupa ilmu pengetahuan baru. Kesimpulan dari kegiatan pengabdian ini berhasil memperkuat sinergi antara perguruan tinggi dan sekolah dalam mendukung implementasi Tujuan Pembangunan Berkelanjutan (SDGs) terutama pada bidang kehutanan dan pelestarian lingkungan. Kegiatan direkomendasikan untuk diimplementasikan secara berkelanjutan dan direplikasi di sekolah lain guna memperkuat budaya sekolah hijau dan literasi lingkungan siswa
APPLICATION OF THE GUSTAFSON–KESSEL ALGORITHM FOR IDENTIFYING SPATIAL PATTERNS OF NATURAL DISASTERS IN EAST NUSA TENGGARA Nufus, Mitha Rabiyatul; Chandrawati; Widyaningrum, Erlyne Nadhilah
Jurnal Statistika dan Aplikasinya Vol. 9 No. 2 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09205

Abstract

This study examines spatial patterns of disaster vulnerability across districts and cities in East Nusa Tenggara Province, one of Indonesia’s most disaster-prone regions. Although previous studies have highlighted the province’s exposure to multiple hazards, limited attention has been given to clustering methods capable of capturing non-homogeneous and elliptical data structures. This research aims to classify regional disaster vulnerability based on the characteristics of disaster occurrences and to provide empirical support for more targeted mitigation strategies. Secondary data on floods, forest fires, hurricanes, and landslides recorded in 2023 were analyzed using the adaptive Gustafson–Kessel clustering algorithm. The optimal number of clusters was determined using the Silhouette validity index. The results identify three distinct vulnerability groups: regions highly prone to multiple types of disasters, regions predominantly affected by a single hazard, and regions with relatively low disaster risk. The resulting spatial patterns reveal clear differences in disaster intensity and complexity among regions, emphasizing the need for location-specific disaster management policies. This study contributes to disaster risk analysis by demonstrating the applicability of the Gustafson–Kessel algorithm in capturing complex spatial vulnerability patterns that are often overlooked by conventional clustering approaches.
The Gath–Geva Algorithm for Clustering Spatial Inequality of Stunting in East Nusa Tenggara Province Nufus, Mitha Rabiyatul
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.634

Abstract

Stunting remains a critical public health issue in Indonesia, particularly in East Nusa Tenggara (NTT), where prevalence rates are among the highest nationally. This study aims to classify districts and municipalities in East Nusa Tenggara Province based on socioeconomic and health-related indicators associated with stunting vulnerability. Using the Gath–Geva (Fuzzy K-Means Entropy) clustering algorithm, four key variables were analyzed, including poverty rate, access to proper housing, open unemployment rate, and number of health facilities. The results identified three distinct clusters with different regional characteristics. Cluster 1 consists of areas with low poverty and well-developed health infrastructure but relatively high unemployment rates. Cluster 2 represents the most vulnerable regions characterized by high poverty, poor housing access, and limited health facilities, while Cluster 3 comprises more stable areas with better housing, low unemployment, and adequate healthcare services. The silhouette coefficient value of 0.41 indicates that the three-cluster structure provides a reasonably good level of separation and internal consistency. These findings highlight that stunting vulnerability is strongly influenced by socioeconomic disparities and the distribution of health infrastructure. Therefore, intervention strategies should be tailored to the characteristics of each cluster, emphasizing integrated actions in high-risk regions and preventive measures in more stable areas to accelerate stunting reduction across East Nusa Tenggara Province.
Co-Authors Adrin, Adrin Almulqu, Aah Ahmad Ari, Maria Patrisia Chandrawati Dina Tiara Kusumawardhani Erlyne Nadhilah Widyaningrum Firman syah, Firman Jeriels Matatula, Jeriels Lamanda, Sukriati Andesti Mariana Teresa Pega Nababan, Badia R. R. Nababan, Badia Roy Ricardo Pathibang, Meilyn Renny Pega, Eusabius P. Pega, Eusabius Paul Rio Agung Nugroho Rusadi, Nusrah Selanno, Frenly M. Silaban, Rosalia Silaban, Rosalia Takoy, Darmawana Yudhistira Ora, Yudhistira