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All Journal International Journal of Evaluation and Research in Education (IJERE) Cakrawala Pendidikan Proceeding of the Electrical Engineering Computer Science and Informatics Kubik Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics JRPM (Jurnal Review Pembelajaran Matematika) Jurnal Matematika: MANTIK Mathvision : Jurnal Matematika KUBIK: Jurnal Publikasi Ilmiah Matematika Engagement: Jurnal Pengabdian Kepada Masyarakat
Ahmad Hanif Asyhar
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Mathematics Social Sciences

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Implementasi Islamic Math Character: Paradigma Baru dalam Pembelajaran Matematika Karim, Muhammad Busyro; Asyhar, Ahmad Hanif
JURNAL REVIEW PEMBELAJARAN MATEMATIKA Vol 1 No 1 (2016)
Publisher : UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jrpm.2016.1.1.57-70

Abstract

This research aimed to describe student learning outcomes trough implementation of Islamic Math Character and explain whether of Islamic Math Character can improve student learning outcomes in subject Calculus I. This research is an action research which uses a classroom action research with spiral model. Each cycle consist of planning, action, observation, and reflection. The research subject were Calculus I students of mathematics education department. The research results of student learning the material functions through the application of mathematics with Islamic Math Character proved a significant increase of the value of the average of student mastery learning at pre-action only amounted to 63.78 by 31,11%. At the first cycle, the average value of student mastery learning increased to 70.33 by 57.78%. At the second cycle, the average value of student mastery learning becomes 75.44 by 100%.
Implementation of Winnowing Algorithm for Document Plagiarism Detection Ulinnuha, Nurissaidah; Thohir, Muhammad; Novitasari, Dian Candra Rini; Asyhar, Ahmad Hanif; Arifin, Ahmad Zaenal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.112 KB) | DOI: 10.11591/eecsi.v5.1599

Abstract

Plagiarism prevention efforts are being evolved in various sector. Designing and developing plagiarism checker applications is the purpose of this paper. Specifically by knowing the percentage of similarity between the original document and the test document. Winnowing algorithm is used because it can detect plagiarism in documents up to sub-section of the document. In this paper using three validators consisting of computational mathematicians, software engineering experts, and users to test the feasibility of the application. Experiment using several scenarios, the result of the equation using winnowing algorithm is 90.12%.
Optimal ANFIS Model for Forecasting System Using Different FIS Adyanti, Deasy; Rini Novitasar, Dian Candra; Asyhar, Ahmad Hanif; Setiawan, Fajar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.341 KB) | DOI: 10.11591/eecsi.v5.1617

Abstract

Adaptive Network Based Fuzzy Inference System (ANFIS) using time series analize is one of intelligent systems that can be used to predict with good accuracy in all fields like in meteorology. However, some research about forecasting has less emphasis on the structure of the FIS ANFIS. Thus, in this paper, the optimization of the ANFIS model for predicting maritime weather is carried out by analyzing the appropriate initialization determinations of the three fuzzy Inference structures ANFIS which includes FIS structure 1 (grid partition), FIS structure 2 (subtractive clustering) and FIS structure 3 (fuzzy c-means clustering). In this paper, the variable input used are two hours (t-2) and one hour (t-1) before, and data at that time (t), and the output of this system is the prediction of next hour, six hours, twelve hours and next day of variable ocean currents velocity (cm/s) and wave height (m) using the three FIS ANFIS approaches. Based on the smallest goal error (RMSE and MSE) of the three FIS ANFIS approaches used to predict the ocean currents speed (velocity) and wave height, the model is best generated by subtractive clustering. It can be seen that subtractive clustering produces the smallest RMSE and MSE error values of other FIS structure.
Automated Diagnosis System of Diabetic Retinopathy Using GLCM Method and SVM Classifier Foeady, Ahmad Zoebad; Rini Novitasari, Dian Candra; Asyhar, Ahmad Hanif; Firmansjah, Muhammad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.455 KB) | DOI: 10.11591/eecsi.v5.1630

Abstract

Diabetic Retinopathy (DR) is the cause of blindness. Early identification needed for prevent the DR. However, High hospital cost for eye examination makes many patients allow the DR to spread and lead to blindness. This study identifies DR patients by using color fundus image with SVM classification method. The purpose of this study is to minimize the funds spent or can also be a breakthrough for people with DR who lack the funds for diagnosis in the hospital. Pre-processing process have a several steps such as green channel extraction, histogram equalization, filtering, optic disk removal with structuring elements on morphological operation, and contrast enhancement. Feature extraction of preprocessing result using GLCM and the data taken consists of contrast, correlation, energy, and homogeneity. The detected components in this study are blood vessels, microaneurysms, and hemorrhages. This study results what the accuracy of classification using SVM and feature from GLCM method is 82.35% for normal eye and DR, 100% for NPDR and PDR. So, this program can be used for diagnosing DR accurately.
Forecasts Marine Weather on Java Sea Using Hybrid Methods: TS-ANFIS Adyanti, Deasy Alfiah; Asyhar, Ahmad Hanif; Rini Novitasari, ian Candra; Lubab, Ahmad; Hafiyusholeh, Moh.
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.866 KB) | DOI: 10.11591/eecsi.v4.1114

Abstract

Indonesia is an archipelago. Consequently, themajorities are working around the sea such as a fisherman.While the number of activities at sea are increasing more accident occurred are rising. This research presents marine weather prediction system using Hybrid Methods TS-ANFIS(Adaptive Neuro Fuzzy Inference System – Time Series) in orderto anticipate bad weather and reduce risk. This method use bothocean current and wave height at Java Sea particularly on Gresikin order to forecast ocean current velocity and wave height. Inputvariables used in this paper are data at (t), an hour before (t-1),and two hours before (t-2) and obtained next hour, next 6 hours,next 12 hours, and next day prediction as output. The resultsindicate that ocean current speed attain 16.97327 cm/s; 13.22302cm/s; 10.21107 cm/s; 14.09871 cm/s with mean error is about0.12993; 1.5758; 1.3182; 0.82613 while wave height reach 0.45554m; 0.48286 m; 0.46395 m; 0.54571 m with mean error is about0.0012247; 0.018619; 0.046584; 0.060206. Therefore, it was safe tosailing on 1st January 2016.
Detection of potential errors in measurement results of madrasa admission instruments in Indonesia Ahmad Yusuf; Kusaeri Kusaeri; Ahmad Hidayatullah; Dian Candra Rini Novitasari; Ahmad Hanif Asyhar
International Journal of Evaluation and Research in Education (IJERE) Vol 10, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v10i4.21412

Abstract

Madrasa (Islamic boarding school) in Indonesia have a strategic role in character building. At present madrasa education is still considered second class education. Besides, to improve the quality of madrasas can be started by improving the quality of the student national admission to all madrasas in Indonesia. This study aimed to trace the potential errors in the measurement results of Students National Admission of Madrasah Aliyah Negeri (SNPDB MAN-IC) 2020. Tracing was carried out on two aspects: i) Equality between test sets used based on evidence of test responses; and ii) Further tests on equality between question sets based on evidence of relationship between variables, taking into account the origin of the participating schools (MTs/JHS) and the origin of the participating regions (West, Central and East of Indonesia). This study involved 13,115 participants in 23 MAN-ICs throughout Indonesia in 2020. The materials tested comprised learning potential and academic ability (Mathematics, Natural Sciences, Social Studies, English, Arabic, and Islamic Religious Education). The study used achievement test with mathematics as a sample of test subjects. Based on the test response evidence, it was found that seven of the 15 questions were thought to have an indication of inequality between item sets. The results of tracing the evidence between variables indicated that it was the participants' origin of institutions that influenced the inequality between item sets. On the other hand, regional origin did not affect the inequality between item sets because the majority of participants came from the western region of Indonesia.
Implementasi Islamic Math Character: Paradigma Baru dalam Pembelajaran Matematika Muhammad Busyro Karim; Titin Faridatun Nisa'; Ahmad Hanif Asyhar
JRPM (Jurnal Review Pembelajaran Matematika) Vol. 1 No. 1 (2016)
Publisher : Department of Mathematics Education, Faculty of Tarbiyah and Teacher Training, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.965 KB) | DOI: 10.15642/jrpm.2016.1.1.57-70

Abstract

This research aimed to describe student learning outcomes trough implementation of Islamic Math Character and explain whether of Islamic Math Character can improve student learning outcomes in subject Calculus I. This research is an action research which uses a classroom action research with spiral model. Each cycle consist of planning, action, observation, and reflection. The research subject were Calculus I students of mathematics education department. The research results of student learning the material functions through the application of mathematics with Islamic Math Character proved a significant increase of the value of the average of student mastery learning at pre-action only amounted to 63.78 by 31,11%. At the first cycle, the average value of student mastery learning increased to 70.33 by 57.78%. At the second cycle, the average value of student mastery learning becomes 75.44 by 100%.
APLIKASI METODE NILAI EIGEN DALAM ANALYTICAL HIERARCHY PROCESS UNTUK MEMILIH TEMPAT KERJA Moh Hafiyusholeh; Ahmad Hanif Asyhar; Ririn Komaria
Jurnal Matematika MANTIK Vol. 1 No. 1 (2015): Matematika dan Terapan
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.784 KB)

Abstract

Dalam fakta kehidupan, kita seringkali dihadapkan pada suatu permasalahan yang cukup kompleks sehingga diperlukan banyak kriteria sebagai bahan pertimbangan dalam menentukan pilihan atau keputusan. Dalam kondisi semacam itu, adanya berbagai macam kriteria, ditambah lagi dengan ketidaksempurnaan informasi seringkali menyulitkan dalam membuat keputusan.Salah satu solusi yang memungkinkan adalah dengan Analytical Hierarchy Process (AHP). Pada penelitian ini dikaji salah satu metode untuk menentukan vector prioritas dalam AHP dengan menggunakan nilai eigen. Selain itu terapan metode nilai eigen juga dibahas untuk memberikan alternatif pilihan tempat bekerja bagi siswa SMK Negeri I Jombang yang telah memiliki kerjasama dengan berbagai badan usaha diantaranya PT. SAI Mojokerto, PT. JAI Pasuruan, PT HWT Surabaya, BPR Surasari Hutama Bangil dan Western Digital Malaysia
VEKTOR PRIORITAS DALAM ANALYTICAL HIERARCHY PROCESS (AHP) DENGAN METODE NILAI EIGEN Moh. Hafiyusholeh; Ahmad Hanif Asyhar
Jurnal Matematika MANTIK Vol. 1 No. 2 (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 (374.221 KB)

Abstract

Pada Penelitian ini dikaji metode nilai eigen yang digunakan untuk mengkonstruksivektor prioritas model pengambilan keputusan yang dikenal dengan Analytical Hierarchy Process (AHP). AHP merupakan suatu metode pengambilan keputusan yang berdasarkan pada keragaman kriteria. Melalui metode nilai eigen ini diperoleh λ_mak≥n, dengan λ_mak adalah nilai eigen maksimum dan n adalah ukuran matriks. Untuk membatasi apakah suatu keputusan yang telah diambil dengan AHP sudah valid atau belum, bisa diverifikasi dengan menggunakan indeks konsistensi.
PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS Fitria Febrianti; Moh. Hafiyusholeh; Ahmad Hanif Asyhar
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 (150.672 KB)

Abstract

Indonesia with abundant natural resources, certainly have a lot of plants are innumerable. To clasify the plants into different clusters can use several methods. Methods used are K-Means and Fuzzy C-Means. However, this methods have difference. Not only in terms of algorithms, but in terms of value calculation on the root mean square error (RMSE) also different. To calculate the value of RMSE there are two indicators are required, namelt the training data and the checking data. Of discussion, the Fuzzy C-Means method has RMSE values smaller than the K-Means method, namely on 80 training data and 70 checking data with RMSE value 2,2122E-14. This indicates that the Fuzzy C-Means method has a higher level of accuracy than the K-Means method
Co-Authors Abdulloh Hamid Adyanti, Deasy Adyanti, Deasy Alfiah Ahmad Hidayatullah Ahmad Lubab Ahmad Lubab Ahmad Umar Ahmad Yusuf Ahmad Zaenal Arifin Ahmad Zoebad Foeady Ali Ridho Arifin, Ahmad Zaenal Aris Fanani Deasy Adyanti Deasy Alfiah Adyanti Dian C. Rini Novitasari Dian Candra Rini, Dian Candra Dian Yuliati Fajar Darwis Dzikril Hakimi Fajar Setiawan Firmansjah, Muhammad Fitria Febrianti Foeady, Ahmad Zoebad Gita Purnamasari R Hafiyusholeh, Moh. ian Candra Rini Novitasari Kusaeri Kusaeri Lia Puspita Sari Lubab, Ahmad M. Hasan Bisri Moch. Noor Affan Anshori Moh Hafiyusholeh Moh Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Muhammad Busyro Karim Muhammad Busyro Karim, Muhammad Busyro Muhammad Thohir Nanang Widodo Nisa, Titin Faridatun Nurissaidah Ulinnuha Nurissaidah Ulinnuha Putroue Keumala Intan Rifa Atul Hasanah Rini Novitasari, ian Candra Ririn Komaria Setiawan, Fajar Suwanto Suwanto Thohir, Muhammad Ulinnuha, Nurissaidah Wika Dianita Utami Yuniar Farida Yuyun Monita Zainullah Zuhri