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All Journal Jurnal MIPA JURNAL ADMINISTRASI PUBLIK Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) JURNAL ILMIAH SOCIETY JURNAL PENDIDIKAN TAMBUSAI Jurnal Agroekoteknologi Terapan Journal of Agriculture (JoA) AGRI-SOSIOEKONOMI COCOS EKOTON
Wiske Rotinsulu
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Mathematics Physics Social Sciences

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Journal : EKOTON

 1 
TRANSFERABILITAS MODEL DISTRIBUSI SPASIAL PALEM LOKAL SULAWESI Wiske Rotinsulu
EKOTON Vol. 3 No. 2 (2014): Juli - Desember 2014
Publisher : PPLH-SDA, Lembaga Penelitian Unsrat Manado

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Abstract

The aim of this study was to test transferability of the predictive models developed in North Sulawesi site using internal data dan external data (Buton island located on the south east coast of the mainland of Sulawesi). Logisitic regression method was used to build the predictive model. Three native palms of Sulawesi namely Pigafetta elata, Areca vestiaria, and Caryota sp were selected in this study. The relationship between environmental variables (e.g. derived from a Geographic Information System (GIS) and Remote Sensing (RS)) and each native palm species occurrence was quantified by the model. Several environmental parameters reflecting land cover, topographic features (elevation, slope and aspect), soil and socio-economic (accessibility) served as predictor variables. Model performance was measured by sensitivity (Sn), specificity (Sp), overall accuracy (S), Kappa statistic and Area Under the Curve (AUC). Predictive models of spatial distribution of the three native palm species were successfully developed using logistic regression method. Using the internal dataset, all models showed greater than 90% overall accuracy at predicting presence or absence which indicates that all models gave good performance. However, using Kappa index, the performance of the logistic regression model was poor. AUC values derived from the ROC procedure showed that the performance of all models was excellent. Nevertheless, when tested on Buton Island, overall prediction accuracy was low. Kappa statistic (0.06 to 0.24) also showed that none of the models performed adequately. It is obvious that predictive ability of the models evaluated with external data from a different island was low. This implies that transferring the models to other regions is not advisable. Unmodelled ecological-relevant processes and algorithmic error are suggested to be the reasons behind the poor transferability of the predictive models.
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
Land Landscape Analysis Using the Digital Elevation Model (DEM) Method in the Tetempangan Tourism Object, Mandolang District, Minahasa Regency Pakasi, Sandra; Rotinsulu, Wiske; Luntungan, Jooudie; Pioh, Diane
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.v5i1.49537

Abstract

Abstract. Sandra E. Pakasi*), Vicky Fransiskus Solum ,Tommy D. Sondakh , Wiske Ch. Rotinsulu, Frangky J. Paat , Jooudie N. Luntungan, Diane D. Pioh. Land Landscape Analysis Using the Digital Elevation Model (DEM) Method in the Tetempangan Tourism Object, Mandolang District, Minahasa Regency. Ekoton   5. 36-43. This study aims to determine the state of the landscape in the Bukit Tetempangan Tourism Object, Mandolang District, Minahasa Regency. This study uses the Digital Elevation Model (DEM) method to obtain the state of the landscape, elevation data, and slope in the Tetempangan Tourism Object area.   Data collection and processing techniques using the ArcGis 10.3 application. The results obtained in the Bukit Tetempangan Tourism Object Area have 3 slope classes, 0 - 25% (somewhat flat) with an area of 17.8 Ha, 25 - 40% (a bit steep) with an area of 5.33 Ha, and >40% (very steep) with an area of 14.87 ha and a height of 568 meters above sea level (masl). The total altitude data obtained can reach 1986 points. Thus, at this location, there must be a conservation application to prevent erosion and landslides. Keywords: Analysis, Landscapes, Digital Elevation Model
Co-Authors Afandi Ahmad Ali, Susanti Hadji Badrun Zaini Bobby Polii Bobby Polii Carlos Erickson, Carlos D.M.F. Sumampow Ekuin Kojong Esry O.H. Laoh Frangky J. Paat Hengkie Walangitan Hengky Walangitan Henratno ., Pasambuna Husein, Jailani ., Jailani ., Husein Jeany Mandang Jelie Viekson Porong Juliet M.E. Mamahit Kiolol, Natalia ., Liza ., Tunggali Lumingkewas, Adeleyda Luntungan, Joodie Luntungan, Jooudie Margaretha, Geby Marhaenus J. Rumondor Martina A. Langi Martina A. Langi Masinambow, Devied Raynold Melisa P. Todingan Natalia ., Kiolol PALIT, FERLIE ALFIUS Pasambuna, Henratno ., Pioh, Diane Polii, Bobby ., Polii, Bobby J. V. Porong, Jellie Ronny Nangoi Salsabella, Syafira Sandra E. Pakasi Sandra Pakasi Sartika Fergina Rurut Selvie Tumbelaka Semuel D. Runtunuwu Sofia Wantasen Stephina Pinkan Naray Sumual, Feiby Tilaar, Wenny ., Tommy B. Ogie Tunggali, Liza ., Wenny ., Tilaar Willy N. Effendi Zetly ., Tamod Zetly Tamod