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All Journal Journal of Food and Pharmaceutical Science Jurnal Hukum Khaira Ummah Management of Aquatic Resources Journal (Maquares) English Review: Journal of English Education Jukema (Jurnal Kesehatan Masyarakat Aceh) Turbulen : Jurnal Teknik Mesin Prosiding Seminar Nasional Sains dan Teknologi Terapan Aulad : Journal on Early Childhood Journal of RESIDU Portal: Jurnal Teknik Sipil Journal of English Education and Teaching (JEET) International Journal of Advances in Data and Information Systems Journal of Instructional and Development Researches Mathematics and Applications (MAp) Journal Studi Akuntansi, Keuangan, dan Manajemen Research Horizon Journal of Food and Pharmaceutical Sciences Khidmatan
Novi Andriani, Novi
Program Studi Manajemen Sumberdaya Perairan, Jurusan Perikanan, Fakultas Perikanan dan Ilmu Kelautan, Universitas Diponegoro
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Journal : Mathematics and Applications (MAp) Journal

 1 
MENENTUKAN BESARNYA OMSET PEGADAIAN MENGGUNAKAN FUZZY INFERENCE SYSTEM DENGAN METODE FUZZY TSUKAMOTO Rahmawati, Rahmawati; Rahma, Ade Novia; Basriati, Sri; Andriani, Novi
MAp (Mathematics and Applications) Journal Vol 2, No 1 (2020)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.375 KB) | DOI: 10.15548/map.v2i1.1641

Abstract

Penelitian ini bertujuan untuk menentukan jumlah omset berdasarkan jumlah nasabah, inflasi dan kurs di Pegadaian Syariah Cabang Subrantas Unit Sidomulyo Pekanbaru. Teknik analisa yang digunakan studi ini adalah Metode Fuzzy Tsukamoto yang merupakan salah satu Fuzzy Inference System. Penelitian diawali dengan pembentukan aturan dan himpunan fuzzy, lalu dicari nilai z untuk setiap aturan dengan menggunakan fungsi MIN pada aplikas fungsi implikasinya, kemudian dicari nilai keakuratan atau Mean Absolute Percentage Error (MAPE) dari omset. Hasil penelitian ini menunjukkan bahwa prediksi jumlah omset dengan nilai keakuratan mencapai 84,4098%.AbstractThis study aims to determine the amount of turnover based on the number of customers, inflation and the exchange rates at the Pegadaian Syariah Branch Subrantas Sidomulyo Unit Pekanbaru. The analysis technique used in this study is the Tsukamoto Fuzzy Method which is one of the Fuzzy Inference Systems. The research begins with the formation of fuzzy rules and sets, then looks for the z value for each rule by using the MIN function in the application of the implication function, then looks for the accuracy value or Mean Absolute Percentage Error (MAPE) of the turnover. The results of this study indicate that the prediction of turnover with accuracy reaches 84.4098%.
Co-Authors Abdul Latif Ade Novia Rahma Adfiyani Fadjar Adrian Adrian Agus Budianto Amin Purnawan Arif Rahman Hakim Ariscasari, Putri Aryaningsih, Nur Asmuni Asmuni Baiti Hidayati Boedi Hendrarto Chatarina Umbul Wahyuni Darojati, Ulfa Afrinurfadhilah Edi, Syamsi ERMAWATI, DIAN EKA Hapzi Ali Harianto, Jimi Hasibuan, Samsul A. Rahman Sidik Hidayati, Dini Iswandini, Iswandini Kahfi, Sidik Al Khumairah, Eka Silfia Latif, Muhammad Sabri Mairani, Tiara Mardianto, A. Alif Muhammad, Hasman Muzakir Putri , Firsta Malyda Putri, Firsta Malyda Rahmat Mulyana Rahmawati Rd. Rohmat Saedudin Setyawan, Jesica Elvira Siahaan, Leroy Holman Sri Basriati Sulistianah, Sulistianah Sumari Sumari Suradi Wijaya Saputra Tambaru, Rachman Umi Nurhayati, Umi Wahyu Setyo Pambudi Wijaya, Muhamad Rio Yunianto, Faiq