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Analisis Strategi Pengelolaan Hutan Mangrove Berkelanjutan Di Kecamatan Tatapaan, Minahasa Selatan, Indonesia Steefra Mangkay; Nuddin Harahap; Bobby Polii; Soemarno Soemarno
Indonesian Journal of Environment and Sustainable Development Vol 3, No 1 (2012)
Publisher : Graduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1194.254 KB)

Abstract

Tujuan penelitian ini adalah untuk (1) menganalisis potensi hutan mangrove ,dan (2)  mengidentifikasi kriteria - kriteria yang dapat dipakai untuk menentukan strategi pengelolaan hutan mangrove  di Kecamatan Tatapaan Kabupaten Minahasa Selatan. Penelitian ini dilakukan dengan cara survey secara langsung di desa Sondaken, Kecamatan Tatapaan, Kabupaten Minahasa Selatan. Metode untuk menentukan kriteria strategi pengelolaan berkelanjutan adalah dengan motede Analytic Hierarchy Proses (AHP) software V.11. Terdapat tiga kriteria yang digunakan untuk menetukan kriteria strategi pengelolaan hutan mangrove secara berkelanjutan, antara lain kebijakan hutan mangrove, potensi hutan mangrove, dan lingkungan hidup. Analisis potensi dan pengelolaan hutan mangrove juga menggunakan metode deskriptif kuantitatif. Analisa vegetasi juga dilakukan untuk menentukan nilai kerapatan, frekuensi spesies, dan penutupan lahan, sehingga akan didapatkan Indeks Nilai Penting (INP). Hasil INP Rhizopora sebesar 71.43/27%, INP Avicenia sebesar 57.56/26%, Sonneratia sebesar 3.77/20%, Ceriops sebesar 35.77/13&, Bruguuera sebesar 25.99/10% dan Xylocarpus sebesar 19.99/8%. Prioritas utama dalam pengelolaan hutan mangrov secara berkelanjutan adalah pada kebijakan pengelolaan hutan sebesar 49.6%. Keywords: Mangrov, pengelolaan, potensi  
Web-Based System for Medicinal Plants Identification Using Convolutional Neural Network Latumakulita, Luther; Mandagi, Franklin; Paat, Frangky; Tooy, Dedie; Pakasi, Sandra; Wantasen, Sofia; Pioh, Diane; Mamarimbing, Rinny; Polii, Bobby; Pongoh, Jantje; Pinaria, Arthur; Tenda, Edwin; Islam, Noorul
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.601

Abstract

Indonesia has a variety of medicinal plants that are efficacious for preventing or treating various diseases. Each region has unique medicinal plants, such as in North Sulawesi, there are many medicinal plants with local names of "Jarak" (Jatropha curcas), "Jarak Merah" (Jatropha multifida), "Miana" (Coleus Scutellarioide), and "Sesewanua" (Clerodendron Squmatum Vahl). This research applies the Convolutional Neural Network (CNN) method to identify the types of medicinal plants of North Sulawesi based on leaf images. Data was collected directly by taking photos of medicinal plant leaves and then using the augmentation process to increase the data. The first stage is conducting training and validation processes using 10-fold cross-validation, resulting in 10 classification models. Evaluation results show that the lowest validation accuracy of 98.4% was obtained from fold-4, and the highest was 100% from fold-2. The third stage was to run the testing process using new data. The results showed that the worst model produced a test accuracy of 80.91% while the best model produced an accuracy of 87.73% which means that the identification model is quite good and stable in classifying types of medicinal plants based on its leaf images. The final stage is to develop a web-based system to deploy the best model so people can use it in real-time
Analysis Of Irrigation Water Quality For Fields In Treman Village, North Minahasa Kauditan Regency Salsabella, Syafira; Polii, Bobby; Rotinsulu, Wiske; Paat, Frangky; Porong, Jellie; Lumingkewas, Adeleyda; Luntungan, Jooudie; Wantasen, Sofia
EKOTON Vol. 4 No. 1 (2022): ISSUE JANUARY - JUNE 2022
Publisher : PPLH-SDA, Lembaga Penelitian Unsrat Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35801/ekoton.v5i1.49535

Abstract

Abstract. Syafira Salsabella1), Bobby J. V. Polii1*), Wiske Ch. Rotinsulu1) , Frangky J. Paat1), Jellie V. Porong1) , Adeleyda M. W. Lumingkewas1), Jooudie N. Luntungan 2) , Sofia Wantasen. Analysis Of Irrigation Water Quality For Fields In Treman Village, North Minahasa Kauditan Regency. Ekoton   5. 28-35. This study aims to determine the quality of irrigation water in rice fields in Treman Village, Kauditan District, North Minahasa. This research was conducted for two (2) months, namely from March to April 2023. This research was conducted using purposive sampling method, the sampling technique is Composite. Research samples were taken at three points, namely the Primary Canal, Secondary Canal, and Tertiary Canal. Samples were taken as much as 4500 mL in each Canal, then analyzed at the Manado Industrial Research and Standardization Center Laboratory. The data obtained was analyzed using Bar Chart Statistics. The research shows that the Irrigation Water Quality of Rice Field Areas in Treman Village, Kauditan District, North Minahasa is still classified as very good because it meets the requirements as irrigation water according to Water Quality Of Irrigation based on Ayers & Westcott (1995), and there is no pollution based on Government Regulation No. 22 of 2021 concerning the Implementation of Protection and Management of Irrigation Water. Keywords: Quality of irrigation water, Sodium Absorption Ratio
STUDY ON THE IMPLEMENTATION AND BENEFITS OF THE EX-BUSINESS LAND REDISTRIBUTION PROGRAM FOR THE COMMUNITY IN RANOTONGKOR VILLAGE AND RANOTONGKOR TIMUR VILLAGE TOMBARIRI TIMUR DISTRICT MINAHASA REGENCY Priyanta, Ragil; Polii, Bobby; Pakasi, Caroline Betsy Diana
AGRI-SOSIOEKONOMI Vol. 18 No. 1 (2022)
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/agrsosek.v18i1.55160

Abstract

The purpose of this research was to determine and analyze the implementation of land redistribution activities in Minahasa Regency, as well as to know and examine Access Reform after land redistribution activities and the benefits obtained by land redistribution communities in Minahasa Regency. This research was conducted from October to December 2021 in Ranotongkor & East Ranotongkor Villages, East Tombariri District, Minahasa Regency. The data used are primary data and secondary data. This research uses public policy research methods or public policy research. The results of this study indicate that the implementation of land redistribution has been going well. The Access Reform carried out also shows that 100% of the land redistribution recipients have benefited from the activity. The land redistribution carried out in Minahasa Regency also had an impact on the economy of the community receiving land redistribution where 87.5% of the people who were the object of the study experienced an increase in income ranging from Rp. 200,000 to Rp. 5,000,000 per month.