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All Journal International Journal of Evaluation and Research in Education (IJERE) Cakrawala Pendidikan Jurnal Buana Informatika Kubik Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics Fountain of Informatics Journal JRPM (Jurnal Review Pembelajaran Matematika) Jurnal Matematika: MANTIK Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Computing Science and Applied Mathematics Mathvision : Jurnal Matematika Jurnal Statistika dan Aplikasinya KUBIK: Jurnal Publikasi Ilmiah Matematika Journal of Mathematics Education and Science Engagement: Jurnal Pengabdian Kepada Masyarakat
Ahmad Hanif Asyhar
UIN Sunan Ampel Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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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%.
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
Classification of EEG Signals using Fast Fourier Transform (FFT) and Adaptive Neuro Fuzzy Inference System (ANFIS) Suwanto Suwanto; M. Hasan Bisri; Dian Candra Rini Novitasari; Ahmad Hanif Asyhar
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): 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 (414.823 KB) | DOI: 10.15642/mantik.2019.5.1.35-44

Abstract

Epilepsy is a disease that attacks the brain and results in seizures due to neurological disorders. The electrical activity of the brain recorded by the EEG signal test, because EEG test can be used to diagnose brain and mental diseases such as epilepsy. This study aims to identify whether a person has epilepsy or not along with the result of accurate, sensitivity, and precision rate using Fast Fourier Transform (FFT) and Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The FFT is used to transform EEG signals from time-based into frequency-based and continued with feature extraction to take characteristics from each filtering signal using the median, mean, and standard deviations of each EEG signal. The results of the feature extraction used for input on the category process based on characteristics data (classification) using ANFIS. EEG signal data is obtained from epilepsy center online database of Bonn University, German. The results of the EEG signal classification system using ANFIS with two classes (Normal-Epilepsy) states accuracy, sensitivity, and precision of 100%. The classification systems with three class division (Normal-Not Seizure Epilepsy-Epilepsy) resulted in an accuracy of 89.33% sensitivity of 89.37% and precision of 89.33%.
Peramalan Kecepatan Angin yang Direkam oleh Sistem AWS dengan Analisis Fuzzy Time Series Fajar Darwis Dzikril Hakimi; Moch. Noor Affan Anshori; Ahmad Hanif Asyhar
KUBIK Vol 2, No 2 (2017): KUBIK : Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v2i2.1857

Abstract

Kehidupan manusia tidak bisa dipisahkan dari faktor alam yang bernama cuaca. Salah satunya yaitu kecepatan angin. Angin mempunyai banyak manfaat bagi kehidupan manusia. Tetapi, angin juga bisa mempunyai dampak buruk bagi manusia. Untuk mengantisipasi dampak buruk yang ditimbulkan oleh angin, maka diperlukan peramalan kecepatan angin. Selain itu, adanya krisis energi global juga menyebabkan pengembangan energi terbarukan yang salah satunya adalah energi angin. Jurnal ini berisi tentang peramalan data kecepatan angin dengan analisis fuzzy time series. Hasil error peramalan dihitung dengan metode MSE dan didapat error sebesar 1,0909. 
Forecasts Marine Weather on Java Sea Using Hybrid Methods: TS-ANFIS Deasy Alfiah Adyanti; Ahmad Hanif Asyhar; ian Candra Rini Novitasari; Ahmad Lubab; Moh. Hafiyusholeh
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.
Implementation of Winnowing Algorithm for Document Plagiarism Detection Nurissaidah Ulinnuha; Muhammad Thohir; Dian Candra Rini Novitasari; Ahmad Hanif Asyhar; Ahmad Zaenal Arifin
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%.
Co-Authors Abdulloh Hamid Abdulloh Hamid Adyanti, Deasy Adyanti, Deasy Alfiah Ahmad Hidayatullah Ahmad Umar Ahmad Zaenal Arifin Ahmad Zoebad Foeady Ali Ridho Anistya, Mery Arifin, Ahmad Zaenal Deasy Adyanti Deasy Alfiah Adyanti Dian C. Rini Novitasari Dian Yuliati Fajar Darwis Dzikril Hakimi FAJAR SETIAWAN Fajar Setiawan Fanani, Aris Farida, Yuniar Firmansjah, Muhammad Fitria Febrianti Foeady, Ahmad Zoebad Fransisca, Velicia Gita Purnamasari R Hani Khaulasari Hidayati, Syahrotul Hilmi, Moh. Aditya Sirojul ian Candra Rini Novitasari Krisnawan, Alvin Kusaeri Kusaeri Lia Puspita Sari Lubab, Ahmad Lutfi Hakim Lutfi Hakim M. Hasan Bisri Maulidya, Rahmania Moch. Noor Affan Anshori Moh. Hafiyusholeh Muhammad Busyro Karim Muhammad Busyro Karim, Muhammad Busyro Muhammad Thohir Nanang Widodo Nisa, Titin Faridatun Novitasari , Dian Candra Rini Novitasari, Dian C Rini Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Putri Oktavia, Nabiilah Putri, Anindya Maya Putri, Risma Madurahma Putroue Keumala Intan Rifa Atul Hasanah Rini Novitasari, ian Candra Ririn Komaria Rozi, Muhammad Fahrur Sari, Dian Candra Rini Novita Sari, Firda Yunita Setiawan, Fajar Suwanto Suwanto Utami, Wika Dianita Vina Fitriyana Wahyudi, Sharenada Norisdita Widiaputra, Muhammad Iqbal Wika Dianita Utami Wika Dianita Utami Yuliati, Dian Yuliati, Dian Yusuf, Ahmad Yuyun Monita Zainullah Zuhri