Analisa Perbandingan Logic Fuzzy Metode Tsukamoto, Sugeno, Dan Mamdani (Studi Kasus : Prediksi Jumlah Pendaftar Mahasiswa Baru Fakultas Sains Dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung)

Ayuningtias, Laras Purwati; Irfan, Mohamad; Jumadi, Jumadi

doi:10.15408/jti.v10i1.5610

Cited by 31 publications

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“…The set of degrees of membership itself is obtained from fact input which is then processed with a membership degree graph. [9] According to Kusumadewi and Purnomo, the value of the set of degrees of membership becomes an important thing from the process of reasoning using fuzzy logic..…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

“…And fuzzy logic can show the amount of how far it has the right value and how far it has the wrong value. [9] According to Kusumadewi and Purnomo, fuzzy is expressed in the degree of membership and the degree of truth. Therefore something can be said to be partly right and partly wrong at the same time.…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

“…There are 3 types of Fuzzy Logic, namelypFuzzy LogicpTsukamotopmethod, Fuzzy Logic Mamdani method, dan FuzzypLogic Sugeno method. [9] The difference between the three methods of Fuzzy Logic lies in the process of inference and defuzzication. In the Tsukamoto Method, the inference process (fuzzy inference system) uses the Min-Max method, and the Heigh Method defuzzification process.…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

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Decision Support System for Diagnose Hepatitis Type using Expert System Method

Mulya

Pratiwi

Mardianto

2021

JITeCS

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In the medical world, there are five types of Hepatitis, namely Hepatitis A, B, C, D, and E. However, the five types of hepatitis have similar symptoms, including yellowing of the skin color, yellowing of the eyeball, loss of appetite, etc. Thus, many of the Medical Personnel often misdiagnose the patient for the type of hepatitis or not suffer from hepatitis.Therefore, previous diagnostic data ware collected from Medical Specialists which will be processed and developed into the Java-based Decision Support System Application with Expert System method with the percentage output of the likelihood of patients from each type of hepatitis along with the possibility of patients not suffering from hepatitis.With the output of this application, the percentage of the possibility of each type of hepatitis or the possibility of not suffering from hepatitis can help Medical Personnel to make diagnostic decisions based on alternatives provided by the application.

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Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

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Decision Support System for Diagnose Hepatitis Type using Expert System Method

Mulya

Pratiwi

Mardianto

2021

JITeCS

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“…Dua penelitian tersebut menjelaskan, bahwa grafik keanggotaan kurva linear terdapat dua macam, yaitu linear naik dan linear turun. Jurnal yang berjudul Analisa Perbandingan Logic Fuzzy Metode Tsukamoto, Sugeno, dan Mamdani (Studi Kasus: Prediksi Jumlah Pendaftar Mahasiswa Baru Fakultas Sains Dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung), menjelaskan bahwa: "Algoritma fuzzy memiliki ke 3 metode yaitu metode fuzzy Tsukamoto, Sugeno, dan Mamdani dan dari ke 3 metode fuzzy ini memiliki mesin inferensi dan defuzzfikasi yang berbeda [8]. Artikel jurnal penelitian yang berjudul, Analisa Jumlah Produksi Pada Industri Rumah Tangga Dengan Menggunakan Logika Fuzzy: Studi Kasus Ud Tempe Puji Kecamatan Bayang Kabupatern Pesisir Selatan, dalam jurnal tersebut menjelaskan kembali bahwa: "Metode Tsukamoto merupakan perluasan dari penalaran monoton.…”

Section: Pendahuluanunclassified

Pengembangan Sistem Pendukung Keputusan Menggunakan Metode Tsukamoto

Prakarsa

Nasution

2019

RESTI

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Hanger maintenance process this time based on the circulation from hanger give to the production side. No standard calculation, looking for risk percentage for hanger go into maintenance, become a problem. The hanger must have a standard calculation for percentage value, where the value can provide a clear decision. There is a method in Fuzzy Logic, that the Tsukamoto method, can be utilized in making a decision. This research is based on the problem of how to make a standard calculation, to looking for the risk percentage level for hanger go into maintenance, by applying Fuzzy Logic Tsukamoto method, so that the calculation becomes faster, accurate, and precise. The result from the application of the Tsukamoto method, to find the risk percentage level for hanger enter maintenance, for example at hanger Back Caesar, the resulting level of percentage hanger requirement is 91%, and hanger maintenance risk level 70,375%. The final result shows hanger Back Caesar has a high maintenance risk level (range between 54,6-100%) and well plan maintenance action. Application of Tsukamoto method that has been done shows that to find the risk level percentage for hanger go into maintenance, the first must be looking for output crisp from the percentage level of hanger that needed with the Tsukamoto method.

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“…Pada perubahan ini, sistem fuzzy memiliki suatu nilai rata-rata tertimbang (Weighted Average Values) di dalam bagian aturan fuzzy IF-THEN. Sistem fuzzy Sugeno juga memiliki kelemahan terutama pada bagian THEN, yaitu dengan adanya perhitungan matematika sehingga tidak dapat menyediakan kerangka alami untuk merepresentasikan pengetahuan manusia dengan sebenarnya (Ayuningtias, 2017). Permasalahan kedua adalah tidak adanya kebebasan untuk menggunakan prinsip yang berbeda dalam logika fuzzy, sehingga ketidakpastian dari sistem fuzzy tidak dapat direpresentasikan secara baik (Meimaharani, Listyorini, 2014).…”

Section: Abstrakunclassified

Penerapan Metode Fuzzy Sugeno Untuk Menentukan Jalur Terbaik Menuju Lokasi Wisata Di Surabaya

Mukaromah

2019

j. Matematika Sains dan Teknologi

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This study aims to determine the best route to tourist sites in Surabaya. An optimal path will be obtained from three path choices. The method used is Sugeno Fuzzy Logic, by obtaining membership degrees with fuzzification and then being applied to the appropriate rules, followed by the deflation process to produce optimal and less optimal output. There are six tourist attractions to be visited including Tugu Pahlawan, Food Junction Pakuwon, Atlantis Land, Surabaya Zoo (KBS), Suroboyo Carnival, and Mangrove. There are three starting points (Surabaya City Hall, Purabaya Terminal, and Tanjung Perak Port). The criteria used in this study are distance to tourist attractions, time taken, and road density. These criteria were chosen based on almost all tourist locations in the city of Surabaya through the crowds along the main city lanes in Surabaya. Data is obtained through google maps by comparing three paths and the optimal path will be determined to be passed to get to tourist attractions in Surabaya. The results of this study obtained six optimal paths from each starting point. Penelitian ini bertujuan untuk menentukan jalur terbaik menuju lokasi wisata di Surabaya. Akan diperoleh jalur optimal dari tiga pilihan jalur. Metode yang digunakan adalah logika fuzzy sugeno, dengan cara mendapatkan derajat keanggotaan dengan fuzzifikasi dan kemudian diimplikasikan ke dalam rule yang sesuai, dilanjutkan proses defuzzfikasi untuk menghasilkan output optimal dan kurang optimal. Terdapat enam tempat wisata yang akan dikunjungi diantaranya Tugu Pahlawan, Food Junction Pakuwon, Atlantis Land, Kebun Binatang Surabaya (KBS), Suroboyo Carnival, dan Mangrove. Ada tiga titik awal (Balaikota Surabaya, Terminal Purabaya, dan Pelabuhan Tanjung Perak). Kriteria yang digunakan pada penelitian ini adalah jarak ke tempat wisata, waktu yang ditempuh, dan kepadatan jalan. Kriteria tersebut dipilih berdasarkan hampir seluruh lokasi wisata yang ada di kota Surabaya melewati keramaian di sepanjang jalur utama kota yang ada di Surabaya. Data diperoleh melalui Google maps dengan membandingkan tiga jalur dan akan ditentukan jalur optimal yang akan dilewati untuk menuju tempat wisata di Surabaya. Hasil dari penelitian ini diperoleh enam jalur yang optimal dari setiap titik awal.

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Analisa Perbandingan Logic Fuzzy Metode Tsukamoto, Sugeno, Dan Mamdani (Studi Kasus : Prediksi Jumlah Pendaftar Mahasiswa Baru Fakultas Sains Dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung)

Cited by 31 publications

References 0 publications

Decision Support System for Diagnose Hepatitis Type using Expert System Method

Decision Support System for Diagnose Hepatitis Type using Expert System Method

Pengembangan Sistem Pendukung Keputusan Menggunakan Metode Tsukamoto

Penerapan Metode Fuzzy Sugeno Untuk Menentukan Jalur Terbaik Menuju Lokasi Wisata Di Surabaya

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