Penerapan Fuzzy Inference System Mamdani Untuk Mengukur Tingkat Kenyamanan Pengunjung

This research is intended to determine the comfort level of visitors in order to improve comfort quality by knowing prioritized attributes to be maintained and improved by Mekarsari Fruit Garden Bogor. The method used is Fuzzy Inference System using max-min method who have membership degree min 0 and max 1 and followed by defuzzification. There are three criterias used that is variable service, facilities and cleanliness. Each variable has an indicators and the indicators used is 13 includes five questions on the performance variables, five questions on the variable facilities and 3 questions on cleanliness variables. Based on defuzzification obtained sample that categorized give good ratings to the convenience of visitors with score 9.5 and include good category

Fuzzy Inference System Untuk Menentukan Tingkat Kompetensi Kepribadian Guru

Teacher\u27s role is very important in school because they who will give the lessons to their students. Therefore, ateacherwhowillteachin theschools shouldhave the competencies, especially in personality competency. This research is belonged to Fuzzy Inference System with Tsukamoto method for determining the competency based on the teacher\u27s personality with a web base. In Tsukamoto method each consequent to the rules in the form of IF-THEN should be represented by a set of fuzzy with monotone membership function. The output inference of each rule is given explicitly (crisp) based on α-predicate (fire strength). The end result is obtained by using weighted average.Fuzzy data used is score data or value of personality competence. The rating score with scale A means (very good), B means (fair), C means (less good). Each personality competence component mentioned is used as figuration rule data by producing 243 rules. These rules are used to find µ-score in each variable that has been determined to find z scor

Fuzzy Inference System for fault detection in internal combustion engines in Thermoelectric Power Generating Plants

In this work, an approach to implement a simplified fuzzy inference model for monitoring the conditions of workings of power generators through the pressure values ​​of combustion temperature and engine water pressure is displayed. The model helps the supervisory system, through real-time evaluation of the operating conditions of the engine in percentage rates. The application of tools based on computational intelligence, have shown efficiency in various areas of industrial engineering

Fuzzy Inference System Tsukamoto untuk Optimalisasi Jumlah Media Promosi Brosur di Sekolah Menengah Kejuruan

Promosi adalah menginformasikan (informing), mempengaruhi dan membujuk (persuading), serta mengingatkan (reminding) pelanggan tentang Perusahaan dan bauran pemasarannya. Brosur yaitu suatu alat untuk promosi barang, jasa, yang terbuat dari kertas yang dimana didalamnya terdapat sejumlah informasi dan juga penawaran mengenai jasa atau produk tersebut. Brosur sebagai media promosi amat penting terutama untuk memperkenalkan SMK Taruna Andigha Bogor agar dikenal oleh masyarakat dan menyampaikan pesan atau informasi kepada siswa-siswi SMP. Dalam melakukan upaya promosi, baik dalam bentuk iklan, publisitas, penjualan pribadi dan promosi penjualan tentunya memerlukan perencanaan matang dan akurat. Untuk menentukan nilai output crisp/hasil yang tegas (Z) dicari dengan cara mengubah input (berupa himpunan fuzzy yang diperoleh dari komposisi aturan-aturan fuzzy) menjadi suatu bilangan pada domain himpunan fuzzy. Penerapan metode fuzzy tsukamoto digunakan untuk mengoptimalkan jumlah brosur pada SMK Taruna Andigha Bogor. Sehingga diperoleh tujuan dalam penelitian, untuk mengoptimalkan jumlah brosur yang akan digunakan oleh SMK Taruna Andigha. Dari hasil perhitungan fuzzy tsukamoto untuk setiap wilayah kota dan kabupaten bogor di dapat nilai z untuk kota bogor 0,1 sampai dengan 0,39 sedangkan nilai z untuk kabupaten bogor o,09 sampai dengan 0,45, perhitungan tersebut merupakan hasil nilai kesesuaian jumlah pendaftar, jumlah siswa dan jumlah brosur dari hasil perhitungan fuzzy tsukamoto di analisis dengan metode analisa data menggunakan MAPE (mean absolute percent error) dengan tingkat error hasil perhitungan MAPE sebesar 38 %

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method

This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in Iran over the seasonal period 1986_2001. Results show that the best estimators in order are winter method, ANFIS and geostatistical methods. The results indicate that Winter and ANFIS had powerful results for prediction the prices while geostatistical models were not useful in this respect.Price; Geostatistical model; Kiriging; Inverse distance weighting; Winter’s method; Adaptive neuro fuzzy inference system; Potatoes; Onions; Iran