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All Journal International Journal of Electrical and Computer Engineering MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JUTI: Jurnal Ilmiah Teknologi Informasi 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

Author-ID : 2396207

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry 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

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

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

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

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

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

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%.

Implementasi Algoritma A-Star dalam Menentukan Rute Terpendek Destinasi Wisata Kota Malang Riyan Fahmi Syihabuddin; Mohammad Nafie Jauhari; Muhammad Khudzaifah; Hisyam Fahmi
Jurnal Riset Mahasiswa Matematika Vol 1, No 5 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

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 Jaringan Syaraf Tiruan Backpropagation untuk Menentukan Prediksi Jumlah Permintaan Produksi Dodol Apel Farrah Nurmalia Sari; Ari Kusumastuti; hisyam Fahmi
Jurnal Riset Mahasiswa Matematika Vol 2, No 2 (2022): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Forecasting is importantly in accordance with the planning strategy; therefore it will affect the way of decision making. One of the forecasting methods is Artificial Neural Network with Backpropagation as the algorithm. This research aims to measure the accuracy of the network architecture which is being applied in order to calculate the prediction of the future’s apple paste product monthly demand which was obtained from CV. Bagus Agriseta Mandiri. The data which are being used are 36 monthly data from the year 2017, 2018 and 2019. Furthermore, the data obtained are normalized and divided into two, 66,66% as the data for training process and 33,33% as the data for testing process. Network architecture that is applied in this research is 12 : 10 :1, where 12 are neurons for input layer, 10 are neurons for one hidden layer and 1 is neuron for output layer. The Network with that framework obtained a result 20.161% for MAPE and 79.839% for the accuracy. That model is categorized as good enough for its forecasting ability. Moreover, the network was entirely validated using k-fold cross validation method with . The result obtained as follows: the average of MAPE is 47.079% and the average accuracy is 52.921%. According to it, the entire model can be categorized as good enough in order to run a forecast. As a comparison, another testing has been done with the same fold but different in the network architecture (model 6 – 8 – 1). The second model obtained results as follows: the average of MAPE is 26.74% and the average accuracy is 73.18%, so that the two prediction models’ ability are in the same category, it is good enough to run a forecast.

Patch based Classification using ResNet for Land Cover changes detection of Batu City Hisyam Fahmi
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 14, No 2 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i2.20946

The purpose of this study is to analyze the variations in land cover in Batu City, East Java Province, Indonesia, utilizing a patch-based classification strategy and deep learning. This study provides a preliminary estimation of land cover change in Batu City. The research also highlights the possibility of using deep learning techniques to analyze land use and land cover (LULC) variations in other urban areas with greater precision and efficiency. The EuroSAT dataset is used to train a classification model for patch labeling using the ResNet-50 architecture. Comparing the land cover of Batu City in 2001 and 2022 allows us to detect LULC changes, with almost 50% of the patch changing. The results indicate that ‘Housing’ and ‘Road’ become the most changed categories, while the vegetation areas decrease in number. The results demonstrate that the ResNet-50 architecture is capable of classifying patches and detecting LULC changes with an accuracy of 88% and an execution time of approximately 126.53 seconds.

Implementasi Algoritma Floyd Warshall dalam Pencarian Rute Terpendek Lokasi Tower Base Transceiver Station (BTS) pada PT Citra Akses Indonusa Bella Nafa Savitri; Mohammad Nafie Jauhari; Evawati Alisah; Hisyam Fahmi
Jurnal Riset Mahasiswa Matematika Vol 2, No 4 (2023): 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.v2i4.16811

PT Citra Akes Indonusa is a company that operates on the expertise of information technology services in Banten Province. One of the services provided by the company requires the construction of a Base Transceiver Station (BTS) tower. The tower requires maintenance if there is damage to the network signal. As a result, the shortest route is needed to make it easier for employees to reach the tower location to be more effective. There are eight BTS tower locations in Tangerang Regency and three BTS tower locations in Tangerang City. The process of finding the shortest route in this study uses the Floyd Warshall algorithm, which is unique in finding the shortest route by comparing each edge of all edges that are passed. The process of testing the shortest route is done by selecting the starting point, then selecting several BTS tower locations. Next, the shortest route will be searched using the Floyd Warshall algorithm from each point of destination for the BTS tower location, then the BTS tower location will be selected first and so on until the last destination. The effectiveness of this shortest route search involves a comparison of the routes presented by Google Maps. Based on the results of 30 randomized trials on BTS tower locations, the average shortest route effectiveness was 25.54% compared to the route generated by Google Maps. This is due to the selection at each BTS tower destination location so as to make the route more effective.

Co-Authors Abdul Aziz Achmad Nizar Hidayanto Ahmad Abtokhi Ahmad Saikhu Angga Dwi Mulyanto Aniati Murni Arymurthy Ari Kusumastuti Bella Nafa Savitri Devi Fitrianah Devi Fitrianah Devi Fitrianah Elnaz Putri, Hilda Zaqya Erna Herawati, Erna Evawati Alisah Farrah Nurmalia Sari Habibullah, Muhamad Hamdani Heni Widayani Mohammad Nafie Jauhari Mufidah, Hanifatul Muhammad Khudzaifah Muhammad Khudzaifah Musataklima Noor Rizqiya Fimaulidina Pang Ning-Tan Prayugo, Mohammad Bagus Dimas Puji Lestari Ridwan Riyan Fahmi Syihabuddin Sari, Farrah Nurmalia Savitri, Bella Nafa Shalih Husni Syihabuddin, Riyan Fahmi Syurifah, Gita Ramadhani Wardatus Wina Permana Sari Wina Permana Sari

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