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All Journal International Journal of Electrical and Computer Engineering Sinergi Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Publication Library and Information Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control LibTech : Library and Information Science Journal Jurnal Riset Mahasiswa Matematika Engagement: Jurnal Pengabdian Kepada Masyarakat Journal of Research on Community Engagement
Hisyam Fahmi
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences

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A non-negative matrix factorization based clustering to identify potential tuna fishing zones Devi Fitrianah; Hisyam Fahmi; Achmad Nizar Hidayanto; Pang Ning-Tan; Aniati Murni Arymurthy
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i6.pp5458-5466

Abstract

Many nonnegative matrix factorization based clusterings are employed in discovering pattern and knowledge. Considering the sparseness nature of our data set about the daily tuna fishing data, we attempted to utilize a clustering approach, which is based on non-negative matrix factorization. Adding sparseness constraint and assigning good initial value in the modified NMF method, a proposed algorithm Direct-NMFSC yielded better result cluster compared to other methods which are also utilizing sparse constraint to their approaches, SNMF and NMFSC. The result of this study shows that Direct-NMFSC has 5.376 times of iteration number less than NMFSC in average with 531.97 as the CH index result. The determination of potential fishing zones is one of the essential efforts in the potential fishing zone mapping system for tuna fishing. By means of this novel data-driven study to construct the information and to identify the potential tuna fishing zones is done. We also showed that utilizing the Direct-NMFSC can spot and identify the potential tuna fishing zones presented in red cluster that covers both the spatial and temporal information.
Pemanfaatan Posdaya Masjid Baitussalam sebagai Pusat Pengolahan Sari Buah Markisa di Dusun Robyong, Desa Wonomulyo, Kabupaten Malang Ari Kusumastuti; Heni Widayani; Angga Dwi Mulyanto; Hisyam Fahmi
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 5 No. 2 (2019): Agrokreatif Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.5.2.89-95

Abstract

The formation of the family empowerment post (Posdaya) at Robyong Sub-village of Poncokusumo is intended to increase family income through the application of technology to utilize existing natural potential endowment. The mosque-based family empowerment post could functionalize mosque as a social-economic community center as well as a religious activity center. The community empowerment program at Baitussalam-Mosque Posdaya has become a pilot project in the mosque-based society empowerment. The implementation of the program consisted of family data collection, socialization, and determination of the Posdaya main program according to local potential. Discussion with locals has concluded that the need for training about passion fruit (Passiflora edulis) processing as a main program of Posdaya, since passion fruit has become potential and not yet being utilized optimally. Participants are locals around Baitussalam Mosque, especially housewives. Direct observation shows that locals actively participate in the Posdaya program and supported also by Posdaya organizer and community leaders. The resulting product was responded positively by the market. The product was already marketed out of Java as a souvenir from the Robyong sub-village of Poncokusumo. This program is expected to become a micro-group enterprise from Robyong sub-village with product diversification, good marketing strategy, and good production management in the future.
THE IDENTIFICATION OF DETERMINANT PARAMETER IN FOREST FIRE BASED ON FEATURE SELECTION ALGORITHMS Devi Fitrianah; Hisyam Fahmi
SINERGI Vol 23, No 3 (2019)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.061 KB) | DOI: 10.22441/sinergi.2019.3.002

Abstract

This research conducts studies of the use of the Sequential Forward Floating Selection (SFFS) Algorithm and Sequential Backward Floating Selection (SBFS) Algorithm as the feature selection algorithms in the Forest Fire case study. With the supporting data that become the features of the forest fire case, we obtained information regarding the kinds of features that are very significant and influential in the event of a forest fire. Data used are weather data and land coverage of each area where the forest fire occurs. Based on the existing data, ten features were included in selecting the features using both feature selection methods. The result of the Sequential Forward Floating Selection method shows that earth surface temperature is the most significant and influential feature in regards to forest fire, while, based on the result of the Sequential Backward Feature Selection method, cloud coverage, is the most significant. Referring to the results from a total of 100 tests, the average accuracy of the Sequential Forward Floating Selection method is 96.23%. It surpassed the 82.41% average accuracy percentage of the Sequential Backward Floating Selection method.
Pengembangan Aplikasi Repositori Publikasi Penelitian dan Pengabdian Menggunakan Framework PHP Berbasis MVC Hisyam Fahmi; Wina Permana Sari; Ari Kusumastuti
Publication Library and Information Science Vol 4, No 1 (2020)
Publisher : UPT. Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v4i1.2396

Abstract

Project ini bertujuan untuk membangun sebuah sistem informasi yang terbebas dari resiko yang mungkin terjadi ketika mengolah data secara manual seperti hilangnya berkas, pudarnya tulisan, kesulitan dalam mencari data publikasi penelitian dan pengabdian masyarakat. Sistem Informasi Publikasi Penelitian dan Pengabdian ini dibangun dalam bentuk katalog yang berisi informasi mengenai publikasi penelitian dan pengabdian yang dibuat dengan dua (2) jenis pengguna yaitu tamu (umum) dan admin. Sistem dikembangkan menggunakan framework PHP yang menggunakan pendekatan Model-View-Controller (MVC), yaitu Laravel. Sistem ini diharapkan mampu mengelola data penelitian dan pengabdian masyarakat baik dosen maupun mahasiswa yang menjadi penerapan karakteristik Ulul Albab di Universitas Islam Negeri Maulana Malik Ibrahim Malang yang salah satunya adalah konteks keluasan ilmu dalam melakukan penelitian dan pengabdian kepada masyarakat.
Pendekatan Metode Scrum dalam Pengembangan Sistem Pengarsipan Penelitian, Pengabdian, dan Publikasi Hisyam Fahmi; Ahmad Abtokhi
LIBTECH: LIBRARY AND INFORMATION SCIENCE JOURNAL Vol 2, No 2 (2021): LIBTECH: LIBRARY AND INFORMATION SCIENCE JOURNAL
Publisher : UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/libtech.v3i1.15660

Abstract

Sistem manajemen penelitian, pengabdian masyarakat, dan penerbitan merupakan komponen kunci dari tata kelola institusi pendidikan tinggi di Indonesia. Terutama pada pendidikan tinggi keagamaan Islam yang belum terdapat sistem terintegrasi di masing-masing satuan kerja. Sistem yang dikembangkan dalam penelitian ini bernama SIP3, dan merupakan sistem berbasis aplikasi web. SIP3 dikembangkan menggunakan teknik scrum bersama dengan framework Laravel untuk mengelola penelitian, pengabdian, dan publikasi di lingkungan UIN Maulana Malik Ibrahim. Scrum merupakan pendekatan metodologi Agile yang sederhana untuk diimplementasikan yang memungkinkan pengembangan sistem atau aplikasi dengan cepat. Dengan pendekatan scrum ini, pengembangan hanya membutuhkan waktu sekitar dua bulan untuk mengembangakan tiga fungsionalitas penelitian, pengabdian, dan publikasi tersebut. SIP3 dievaluasi berdasarkan tiga kriteria efektivitas dan kepraktisan: kualitas sistem, kualitas informasi, dan manfaat. Komponen "manfaat" memperoleh peringkat tertinggi, dengan klaim bahwa SIP3 menawarkan pengarsipan data penelitian, layanan, dan publikasi yang lebih efektif dan efisien.
The Effect of Error Level Analysis on The Image Forgery Detection Using Deep Learning Wina Permana Sari; Hisyam Fahmi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vo. 6, No. 3, August 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i3.1272

Abstract

Digital image modification or image forgery is easy to do today. The authenticity verification of an image become important to protect the image integrity so that the image is not being misused. Error Level Analysis (ELA) can be used to detect the modification in image by lowering the quality of image and comparing the error level. The use of deep learning approach is a state-of-the-art in solving cases of image data classification. This study wants to know the effect of adding ELA extraction process in the image forgery detection using deep learning approach. The Convolutional Neural Network (CNN), which is a deep learning method, is used as a method to do the image forgery detection. The impacts of applying different ELA compression levels, such as 10, 50, and 90 percent, were also compared in this study. According to the results, adopting the ELA feature increases validation accuracy by about 2.7% and give the better test accuracy. However, the use of ELA will slow down the processing time by about 5.6%.
Striving for Excellence: Enhancing Madrasah Quality through Analysis of Science Competition Questions and ICT-Driven Learning Transformation Ahmad Abtokhi; Hisyam Fahmi
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 7 No 2 (2023): November 2023
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v7i2.1567

Abstract

This article focuses on a community service program designed to enhance the quality of madrasah education in the Malang Regency and City regions, East Java, Indonesia. The program encompasses various aspects, such as integrating Islamic values into Science Competition Questions (KSM IPA), utilizing virtual laboratories in science and mathematics learning, and implementing Information and Computer Technology (ICT) in teaching. Educational challenges have grown complex in an era marked by globalization and technological advancements. The program aims to improve critical thinking skills and student competitiveness by integrating Islamic values into science education. The article discusses the program's objectives, methods employing the Asset-Based Community Development (ABCD) approach, coordination, training, and post-mentoring evaluation. The positive participant response and measurable impact reflect the relevance of enhancing teacher competence and technology integration. This initiative aligns with the region's efforts to provide quality education and foster student development.
Implementasi Algoritma A-Star dalam Menentukan Rute Terpendek Destinasi Wisata Kota Malang Syihabuddin, Riyan Fahmi; Jauhari, Mohammad Nafie; Khudzaifah, Muhammad; Fahmi, Hisyam
Jurnal Riset Mahasiswa Matematika Vol 1, No 5 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v1i5.14497

Abstract

Traveling is one of the needs of everyone to relax the mind from the busyness that is lived every day. One of the cities in East Java which is a prima donna for traveling is Malang. The city has approximately 43 tourist destinations. Usually, tourists who want to visit not only one place, but several places. generate assistance in deciding which destinations to visit first in order for their trip to be effective. The shortest search process in this study uses the A-Star Algorithm, one of the BFS algorithms which in the process really considers the heuristic value. The process of testing the shortest route is done by selecting a starting point, then selecting several tourist locations. Next, the shortest route will be searched using the A-star algorithm at each destination, then which destination will be visited first. And so on until the final destination. The effectiveness of the route which involves comparison with the route presented by google maps. Based on the results of 30 experiments on several comprehensive destinations, it was found that the average route search using the A-Star algorithm was 44.17% shorter than that presented on google maps. This is due to the uniqueness of the algorithm in which there is a heuristic value and selection for each destination so as to make the route more effective.
Implementasi Metode ST-DBSCAN untuk Pengelompokan Pola Penyebaran Petir di Kota Malang Mufidah, Hanifatul; Fahmi, Hisyam
Jurnal Riset Mahasiswa Matematika Vol 3, No 5 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i5.27313

Abstract

Lightning is an inescapable natural occurrence in the Earth’s atmosphere. Lightning is extremely harmful since the energy released can reach up to three million volts. Lightning strikes are difficult to forecast in terms of time, position, and intensity, therefore they may result in physical losses as they often result in fatalities. One method that can be used to identify an area and time that is prone to lightning is the clustering technique. The clustering approach utilized in this study is the ST-DBSCAN algorithm (Spatio Temporal-Density Based Spatial Clustering Application with Noise), which groups data based on spatial and temporal aspects. The dataset used in this study is lightning spots in Malang City from 1 January to 31 December 2022, with a total of 16,800 data. The most accurate analysis findings revealed four clusters and 26 contained noise, giving a Silhouette Coefficient value of 0.104 which employs parameters such as spatial distance (Eps1 = 0.2), temporal distance (Eps2 = 7), and minimum parts of spots within the group (MinPts = 7). Lightning strikes in Malang City in 2022 are anticipated to be frequently encountered between January and July in the first cluster, totaling 13.337 spots and the least occurred in August with 110 spots.
Implementasi Metode Support Vector Machine pada Klasifikasi Diagnosis Penyakit Hipertensi Elnaz Putri, Hilda Zaqya; Fahmi, Hisyam
Jurnal Riset Mahasiswa Matematika Vol 3, No 5 (2024): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v3i5.27312

Abstract

Hypertension is one of the leading causes of death worldwide. This disease is often referred to as the silent killer because it can lead to death without noticeable symptoms, leaving those affected unaware of their condition. Therefore, early detection and management of hypertension are crucial. This research aims to obtain the classification of hypertension using the Support Vector Machine (SVM) method by utilizing various attributes such as age, smoking habits, lifestyle, blood pressure, and hypertension diagnosis, as well as determining the accuracy level of hypertension classification results using the SVM method. The SVM method is trained with various kernel parameters and hyperparameters to find the best model. The research findings indicate that the best model for classifying hypertension using the SVM method employs the RBF kernel with parameters = 100 and  (gamma) = 0,1, achieving an accuracy of 97.15%. This demonstrates that the SVM method is capable of classifying hypertension very well and significantly contributes to the early detection and management of hypertension.
Co-Authors Achmad Nizar Hidayanto Ahmad Abtokhi Angga Dwi Mulyanto Aniati Murni Arymurthy Ari Kusumastuti Devi Fitrianah Devi Fitrianah Devi Fitrianah Elnaz Putri, Hilda Zaqya Erna Herawati, Erna Evawati Alisah Habibullah, Muhamad Heni Widayani Mohammad Nafie Jauhari Mufidah, Hanifatul Muhammad Khudzaifah Pang Ning-Tan Prayugo, Mohammad Bagus Dimas Sari, Farrah Nurmalia Savitri, Bella Nafa Syihabuddin, Riyan Fahmi Syurifah, Gita Ramadhani Wardatus Wina Permana Sari Wina Permana Sari