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All Journal RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi FARABI: Jurnal Matematika dan Pendidikan Matematika JURNAL MITRA PRIMA Leibniz: Jurnal Matematika RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Sitepu, Suryati
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Journal : FARABI: Jurnal Matematika dan Pendidikan Matematika

 1 
Perbandingan Akurasi Metode Fuzzy Mamdani dan Fuzzy Sugeno dalam Memprediksi Kebutuhan Darah PMI Kota Medan Putri, Vira Amalia; Sitepu, Suryati
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 7 No 2 (2024): FARABI
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v7i2.757

Abstract

Blood demand prediction is important to avoid the instability of blood stocks or supplies. Too much and abundant blood stock can cause losses, because the blood will be wasted when it passes the storage expiration date. Meanwhile, too little stock can risk a shortage of blood supply. To anticipate this, it is necessary to predict the amount of blood demand that must be received in the future in order to achieve optimum blood availability. Fuzzy Mamdani and Fuzzy Sugeno methods that use the concept of fuzzy logic are considered capable of handling complexity and uncertainty in decision making, so they can be used to predict the amount of blood demand by considering the varying and uncertain amounts of blood demand and supply. The calculation results show that the Fuzzy Mamdani method has better accuracy than the Fuzzy Sugeno method with MAPE values of 16.707% and 17.987% respectively. The Fuzzy Mamdani method has an accuracy level in the good category according to the MAPE method and can be used to predict blood demand at PMI Medan.
Perbandingan Metode Defuzzifikasi Dalam Sistem Inferensi Fuzzy Metode Mamdani Untuk Penentuan Kerentanan Rawan Banjir (Studi Kasus: Kota Medan) Khairo, Aula Amaliatul; Sitepu, Suryati
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 7 No 2 (2024): FARABI
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v7i2.789

Abstract

Banjir merupakan bencana alam yang diakibatkan oleh genangan air dalam jumlah besar di suatu daerah. Sebagai Kota yang terus berkembang, Medan menghadapi risiko banjir yang semakin kompleks dan meningkat. Oleh karena itu, analisis kerentanan banjir Kota Medan secara detail menjadi sangat penting. Penelitian ini menggunakan sitem fuzzy untuk mengidentifikasi wilayah yang lebih rentan dan memetakan wilayah yang aman dari kemungkinan terjadinya bencana banjir. Beberapa faktor yang mempengaruhi proses perhitungan meliputi kepadatan penduduk, luas daerah aliran sungai, tinggi wilayah, dan curah hujan. Hasil dari penelitian ini yaitu Metode defuzzifikasi Centroid terbukti lebih unggul dengan tingkat keberhasilan sistem mencapai 76%, dibandingkan dengan metode defuzzifikasi Mean of Maximum (MOM) yang hanya 48%.
Co-Authors Damanik, Sari Selly Ulina Hasibuan, Citra Dewi Khairo, Aula Amaliatul Nababan, Esther Sorta Mauli Pangaribuan, Nia Kristina Putri, Vira Amalia Ritonga, Dina Hayati Sulaimah Sawaluddin Siregar, Amelia Siringoringo, Yan Batara Putra Sitompul, Yossi Adelina Sujatmoko, Koko Suyanto Suyanto Zahedi Zahedi .