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All Journal JURNAL SISTEM INFORMASI BISNIS METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Journal Of Information And Technology Unimor (JITU) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Sihotang, Dony Martinus
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Penentuan Kualitas Air untuk Perkembangan Ikan Lele Sangkuriang Menggunakan Metode Fuzzy SAW Dony M Sihotang
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 4: November 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

The purpose of this paper is to implement Fuzzy Simple Additive Weighting (F-SAW) method in determination of water quality for the development of Sangkuriang catfish, using six criteria, i.e. temperature, pH, DO, brightness, plankton, and odor, using 15 alternatives (pool). There are two test scenarios that have been done in this research to obtain system accuracy level, which are: 1) result of system compared with assessment from an expert; and 2) the results of the system compared with assumption of the study that the alternative with the best data should be ranked first and the alternative with the worst data should be rated last. The results obtained from the first scenario shows the level of accuracy is 87%, while the results obtained from the second scenario shows 100% accuracy rate.
Metode Skoring dan Metode Fuzzy dalam Penentuan Zona Resiko Malaria di Pulau Flores Dony M Sihotang
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

The purpose of this study is to compare the results of malaria risk zone mapping using scoring method and fuzzy method against the actual data (API 2014). Variables used in determining malaria risk area are temperature, densiy of vegetation and land cover. Satellite image manipulation is performed using remote sensing technology. As a result, the average of every pixel in the district area for temperature, density of vegetation, and land cover is obtained. The result isthen processed using the scoring model and fuzzy model. Accuracy tests have been conducted for 91 districts where the fuzzy model has an accuracy rate of 61.54% while the scoring model produce an accuracy of 18.68%. The test result shows that the fuzzy model tends to produce a higher grade than the actual grade. Fuzzy model produces class “High” but actually “Low” (17.85%), fuzzy model produces class “Medium” but actually “Low” (2.20%), or fuzzy models produces class “High” but actually “Medium” (14.29%). This could be caused by a form of intervention for mosquito nest eradication conducted in some districts, that is quite effective. Besides, some districts are not participating actively in detecting the number of malaria cases, hence, the actual data provided by Puskesmas tends to be lower.
Co-Authors Abdul G Farid Adnan Putra Rihi Pati Adriana Fanggidae Adriana Fanggidae Arfan Y Mauko Arfan Y Mauko Benyamin Libing Bertha S Djahi Bertha S. Djahi Boru, Meiton Derwin R Sina Emanuel Tes Atok Farmi S Radjatadoe Inggrid Raga Djara Jamaludin Abdullah Kornelis Letelay Lehot, Fransisco Ronaldo Lorenso Kanuru Mbatu, Dinda Permata Meiton Boru Meiton Boru Meiton Boru Nelci D. Rumlaklak Redian A Sina Reza S Baliara Sebastianus Adi Santoso Mola Sultani, Akhzan Akbar Tarus, Karen N.V Tiwuk Widiastuti Yulianto Triwahyuadi Polly