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All Journal Jurnal Ilmiah Kursor Journal of Natural Sciences and Mathematics Research INTEGER: Journal of Information Technology Jurnal Matematika: MANTIK Network Engineering Research Operation [NERO] Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JES-MAT (Jurnal Edukasi dan Sains Matematika)
Faisol, Faisol
Department Of Mathematics, Faculty Of Mathematics And Natural Science, Universitas Islam Madura
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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PENENTUAN TEMBAKAU BERKUALITAS MENGGUNAKAN FUZZY AHP Kuzairi, Kuzairi; Faisol, Faisol; Pramiswari, Titin
Network Engineering Research Operation [NERO] Vol 3, No 2 (2017): NERO
Publisher : Universitas Trunojoyo Madura

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Abstract

Tembakau adalah produk pertanian yang diproses dari daun tanaman yang digunakan sebagai bahan baku utama rokok. alasan penulis meneliti tembakau karena tembakau termasuk salah satu komoditas dengan manfaat ekonomi yang tinggi juga manfaat sosialnya pun sangat dirasakan. Penelitian di sini adalah untuk menentukan kualitas tembakau dari beberapa kriteria dan alternatif. Oleh karena itu dilakukan perankingan dengan menggunakan metode FAHP, sehingga dari hasil penelitian ini didapat hasil perankingan dari setiap alternatifnya. Ranking pertama terdapat pada alternatif pertama yaitu cangkreng, yang kedua yaitu alternatif kedua yaitu malateh, yang ketiga terdapat pada alternatif keempat yaitu bojonegoro dan yang terakhir pada alternatif ketiga yaitu mores.Kata kunci: Fuzzy AHP, Logika Fuzzy, Tembakau.
PENERAPAN METODE EXPONENTIAL SMOOTHING UNTUK PERAMALAN JUMLAH KLAIM DI BPJS KESEHATAN PAMEKASAN Faisol Faisol; Sitti Aisah
Jurnal Matematika MANTIK Vol. 2 No. 1 (2016): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.967 KB)

Abstract

Time series model is the model used to predict the future using past data, one example of a time series model is exponential smoothing. Exponential smoothing method is a repair procedure performed continuously at forecasting the most recent data. In this study the exponential smoothing method is applied to predict the number of claims in the health BPJS Pamekasan using data from the period January 2014 to December 2015, the measures used to obtain the output of this research there are four stages, namely 1) the identification of data, 2) Modeling, 3) forecasting, 4) Evaluation of forecasting results with RMSE and MAPE. Based on the research methodology, the result for the period 25 = 833.828, the 26 = 800.256, period 27 = 766.684, a period of 28 = 733.113, period 29 = 699.541, and the period of 30 = 655, 970. Value for RMSE = 98.865 and MAPE = 7.002, In this case the moving average method is also used to compare the results of forecasting with double exponential smoothing method. Forecasting results for the period 25 = 899.208, the 26 = 885, 792, 27 = 872.375 period, a period of 28 = 858.958, period 29 = 845.542, and the period of 30 = 832.125. Value for RMSE = 101.131 and MAPE = 7.756. Both methods together - both have very good performance because the value of MAPE is below 10%, but the method of exponential smoothing has a value of RMSE and MAPE are smaller than the moving average method.
Distribusi Batik Madura Melalui Penerapan Generalized Vehicle Routing Problem (GVRP) Faisol Faisol; Masdukil Makruf
Jurnal Matematika MANTIK Vol. 3 No. 2 (2017): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.557 KB) | DOI: 10.15642/mantik.2017.3.2.101-104

Abstract

Product distribution process is an effort to convey a product of consumer handlebar with a planned and programmed system. Cluster method is a grouping of the nearest market location, then analyzed the location of potential facilities through center of gravity. GVRP (Generalized Vehicle Routing Problem) is one of the algorithms in the cluster method [1]. In the GVRP describes the route determination to minimize the required distribution costs. GVRP is a generalization of VRP, so the point of the graph is partitioned into several sets of specific points, called clusters [2]. In this research, modification of GVRP model for multi-capacity vehicle case can determine the route and minimize the cost of distribution. Taken case on UD. Damai Asih for the distribution of Madura writes batik to 25 districts in East Java. From the results of running using MATLAB 7.8.0 obtained the efficiency of the distribution cost of 8.71% of the initial cost before doing the clustering based on distance and maximum capacity of the car of Rp. 6,969,480.00. After the filtering based on the distance and maximum capacity of the car obtained a cost of Rp. 6.365.500.00. The highest value of efficiency is obtained in cluster four, while the lowest efficiency value is obtained in cluster eight. The existence of cost efficiency is due to the different mileage in the clustering process.
PENENTUAN TEMBAKAU BERKUALITAS MENGGUNAKAN FUZZY AHP Kuzairi Kuzairi; Faisol Faisol; Titin Pramiswari
Network Engineering Research Operation Vol 3, No 2 (2017): NERO
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1076.766 KB) | DOI: 10.21107/nero.v3i2.81

Abstract

Forecasting the recovery of COVID-19 patients in East Java using the Fuzzy time series Cheng method Tony Yulianto; Faisol Faisol; Fatimatus Zahroh; Sri Suryanti; Mohamad Tafrikan
Journal of Natural Sciences and Mathematics Research Vol 7, No 1 (2021): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.2021.7.1.11289

Abstract

Coronavirus 2019  (COVID-19) has significantly impacted Indonesia. Social restrictions in Indonesia's major cities and rural areas have been put in place as the coronavirus spreads. The Indonesian government is more vigilant with the spread of COVID-19, namely by issuing a lockdown policy to PSBB (Large-Scale Social Restrictions). Almost all Indonesian people have complied with the guidelines set by the government, namely carrying out all activities in a WFH manner to minimize the chain of distribution of COVID-19 in Indonesia. The author of this work forecasts the recovery rate of Covid-19 patients in the East Java region using the Cheng Fuzzy Time Series approach. After checking the simulation with real in the field, it can be seen that using 51 data starting from February 4 2021 to March 26 2021 gives results MAPE = 0.4602%, which means the forecasting is very accurate.©2021 JNSMR UIN Walisongo. All rights reserved.
OPTIMALISASI DISTRIBUSI BATIK DENGAN METODE FMADM MENGGUNAKAN BILANGAN FUZZY PADA INTERVAL ARITMATIK Kuzairi Kuzairi; Faisol Faisol; Dian Islami
INTEGER: Journal of Information Technology Vol 3, No 1 (2018)
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2018.v3i1.192

Abstract

Batik adalah sehelai kain yang dibuat secara tradisional menggunakan teknik celup dengan malam dan lilin sebagai bahan perintang warna. Selama ini batik merupakan ikon budaya indonesia sehingga batik menjadi bagian terpenting. Salah satu jenis batik adalah batik Klampar.Adapun batik dalam permasalahannya terdapat banyak permasalahan, salah satunya masalah pendistribusian batik untuk mencapai pangsa pasar.Oleh karena itu, dilakukan penelitian menggunakan bilangan fuzzy pada interval aritmatik sehingga dari hasil penelitian ini didapat alternatif terbaik yaitu ranking pertama terdapat pada alternatif Kabupaten Bangklan dengan nilai 0,881768.Kata Kunci: Batik, Metode Bilangan Fuzzy pada Interval Aritmatik, Pendistribusian.
Pelatihan Pembuatan Kerajinan Tangan œBUKET Untuk Meningkatkan Kreativitas Siswa SMK Mawaddah Qurrotul Aini; Tony Yulianto; Faisol Faisol
Jurnal ABDI: Media Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ja.v7n1.p73-77

Abstract

SMK Mawaddah merupakan salah satu sekolah menengah kejuruan swasta yang memiliki satu jurusan yaitu pemasaran. Produk yang dipasarkan bermacam-macam, namun semua produknya lebih dominan ke produk kuliner, dan masih kurang mewadahi bagi siswa yang memiliki keahlian di bidang kesenian/kerajinan. Oleh karena itu dibuatlah pelatihan pembuatan kerajinan tangan ini agar siswa bisa mengembangkan kreativitasnya dan juga hasil produknya nanti bisa juga menjadi tambahan produk yang dipasarkan. Adapun contoh kerajinan tangan yang dipilih adalah buket. Tingkat pemahaman siswa SMK Mawaddah 50% sudah banyak yang memahami, 40% sudah sangat paham, dan hanya 10% yang tidak paham. Kemampuan siswa rata-rata Banyak yang memahami meskipun masih ada sedikit yang sulit memahami pelatihan ini. Sehingga pelatihan ini bisa dikatakan berhasil dan dapat diterapkan dalam pengolahan produk yang akan dipasarkan.
PENERAPAN MODEL PERTUMBUHAN LOGISTIK DALAM MEMPROYEKSIKAN JUMLAH PENDUDUK DI KABUPATEN SUMENEP Nadya Nurmadhani; Faisol Faisol
Jurnal Edukasi dan Sains Matematika (JES-MAT) Vol 8, No 2 (2022): Jurnal Edukasi dan Sains Matematika (JES-MAT)
Publisher : Department of Mathematics Education, Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jes-mat.v8i2.5436

Abstract

Population projection is not a population forecast but a scientific calculation based on assumptions of the components of the population growth rate, namely births, deaths and migration. These three components determine the size of the population and the age structure of the population in the future. In order to determine the assumptions of future developmental levels of births, deaths and displacement, data are needed that describe trends from the past to the present. Here the author will determine the projected population growth in Sumenep Regency on Madura Island using a logistic growth model. The population census of Sumenep Regency was obtained from the BPS (Central Statistics Agency) of Sumenep Regency from 2010 to 2020. Based on the results of the study, it was obtained that the Craying capacity was 1,141,132.5. The author can conclude that the model that is closest to the actual census value is called the best model by looking for the MAPE value of each model to find out the census value that is closest to the true value and here the logistical model 9 is the most accurate compared to other models, with a value of  and produces the equation  and based on model 9, the writer looks for the population census in 2040 with the value of  resulted in 1,127,590.627 people.
THE PARAMETRIC AND NONPARAMETRIC ESTIMATOR IN SEMIPARAMETRIC REGRESSION FOR LONGITUDINAL DATA WITH SPLINE APPROACH Tony Yulianto; Kuzairi Kuzairi; Noer Azizah; M. Fariz Fadillah Mardianto; Ira Yuditira; Faisol Faisol; Rica Amalia
Jurnal Ilmiah Kursor Vol 11 No 4 (2022)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i4.316

Abstract

Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression. In this study, the form of spline semiparametric regression curve estimator for longitudinal data assessed. Based on the estimator that be obtained by using Weighted Least Square (WLS) optimization applied to model electricity consumption in Madura by choosing a model for longitudinal data based on linear spline estimator with two knot. The good criterion of the model is using the GCV value, the coefficient of determination and the value of MSE. The best model is a model that has a high coefficient of determination and a small MSE value. This spline model has a determination coefficient value of 99,72911% and MSE 32,50458.
Perbandingan Fuzzy Tsukamoto Dan Fuzzy Mamdani Dalam Memprediksi Intensitas Curah Hujan Di Kabupaten Sumenep Tony Yulianto; Ilmiyatus Solehah; Faisol Faisol; Rica Amalia; Mohamad Tafrikan
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 1 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) April 2023
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i1.2186

Abstract

Intensitas curah hujan merupakan hal yang cukup sulit untuk diprediksi. Banyak hal yang dapat menjadi faktor penentu curah hujan, diantaranya adalah suhu, kecepatan angin, kelembapan udara, tekanan udara, dan lain-lain. Faktor cuaca ini tentu menjadi komponen utama yang sulit untuk diprediksi dan diperhitungkan, karena akan sangat berguna dalam kegiatan sehari-hari. Kegiatan tersebut meliputi produksi pertanian, perkebunan, perikanan, dan transportasi. Dalam bidang pertanian, curah hujan dapat mempengaruhi masa tanam setiap tahun dan jenis tanaman apa yang cocok untuk ditanam. Selain itu, informasi curah hujan juga dapat mengantisipebabkan kegagalan produksi pertanian. Banyak metode peramalan yang dapat digunakan untuk melakukan peramalan, seperti metode Fuzzy yang digunakan pada penelitian ini, dengan membandingkan Fuzzy tsukamoto dan Fuzzy mamdani menggunakan data intensitas curah hujan bulanan di Kabupaten Sumenep. Berdasarkan hasil prediksi Curah Hujan dihasilkan MAPE Fuzzy Tsukamoto 59,9503 dan RMSEnya 114,8893, Fuzzy Mamdani metode Bisector menghasilkan MAPE 59,7829, Fuzzy Mamdani metode MOM (Mean Of Maximum) menghasilkan MAPE 62,9953, LOM (Largest Of Maximum) menghasilkan MAPE 59,2672, Fuzzy Mamdani metode SOM (Smallest Of Maximum) menghasilkan MAPE 157,4189 maka nilai prediksi RMSE terbaik menggunakan Fuzzy Mamdani Metode SOM (Smallest Of Maximum).
Co-Authors Dian Islami Fatimatus Zahroh Fauzan . Ilmiyatus Solehah Ira Yudistira ku, Kuzairi Kuzairi M. Fariz Fadillah Mardianto Masdukil Makruf, Masdukil Mohamad Tafrikan Nadya Nurmadhani Noer Azizah Pramiswari, Titin Rica Amalia Sitti Aisah Sri Suryanti Titin Pramiswari Tony Yulianto