Article Per Year (5 Year)
p-Index From 2021 - 2026
8.614
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Natural Science: Journal of Science and Technology Jurnal MEKANIKAL Rekayasa Mesin Englisia Journal Jurnal Ilmiah Teknik Mesin GARIS Jurnal Mahasiswa Jurusan Arsitektur Jurnal Rekayasa Mesin Jurnal Geocelebes Al-Wijdan : Journal of Islamic Education Studies Unnes Science Education Journal Union: Jurnal Ilmiah Pendidikan Matematika Turbo : Jurnal Program Studi Teknik Mesin AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal CoreIT INOVTEK Polbeng - Seri Informatika Jurnal Hukum Samudra Keadilan JURNAL PENDIDIKAN TAMBUSAI JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUKATIF : JURNAL ILMU PENDIDIKAN Journal of Innovative Science Education Building of Informatics, Technology and Science JUTIS : Jurnal Teknik Informatika Sebelas Maret Business Review Infotekmesin INTI Nusa Mandiri Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Zonasi: Jurnal Sistem Informasi Jurnal Informatika Ekonomi Bisnis Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Ihsan: Jurnal Pengabdian Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer Jurnal Filsafat Indonesia Community Empowerment Jurnal Pengabdian Kepada Masyarakat Ungu ( Abdi Ke Ungu) Yumary: Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Islamic Economics and Business KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Journal Peqguruang: Conference Series JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknologi Lingkungan Lahan Basah Kronologi Al-Aulia: Jurnal Pendidikan dan Ilmu-Ilmu Keislaman Anoa: Journal of Animal Husbandry Asian Journal of Management Analytics Malcom: Indonesian Journal of Machine Learning and Computer Science Al-Aqwam: Jurnal Studi Al-Qur'an dan Tafsir Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal Informatika Ekonomi Bisnis Ekasakti Matua Jurnal Manajemen Journal Of Artificial Intelligence And Software Engineering Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan Jurnal Magister Ekonomi Syariah Science, Technology, and Communication Journal Jurnal Polimesin Jurnal Rekayasa Proses JURNAL BUANA As-Salam: Journal Islamic Social Sciences And Humanities Prosiding SNTTM PESHUM Jurnal Kognisia Journal of Industrial Automation and Electrical Engineering Nemui Nyimah
Muhammad Irsyad
STAIN Purwokerto.
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 86 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 86 Documents
Search

 3   4   5   6   7 
Analisis CFD unjuk kerja kolektor photovoltaic/thermal berdasarkan metode pendinginan permukaan atas dan bawah Nalis, Amrizal; Nugraha, Yulian; Irsyad, Muhammad; Yonanda, Ahmad; Setiawan, Ahmad Adi
Jurnal Rekayasa Proses Vol 19 No 2 (2025): Volume 19, Number 2, 2025
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.18652

Abstract

This research analyses the effect of radiation and fluid mass flow rate variations on the thermal performance of Photovoltaic/Thermal (PV/T) collectors based on top-surface cooling and bottom-surface cooling methods. This research uses the ANSYS Fluent simulation method based on radiation variations of 500 W/m2, 750 W/m2, 1000 W/m2, 1250 W/m2 and fluid mass flow rates of 0.02 kg/s, 0.04 kg/s, 0.06 kg/s. The research results show that cooling the top surface is proven to be more effective than cooling the bottom surface. The highest temperature difference between top and bottom cooling for PV surface temperature is 2.64 oC at a mass flow rate of 0.04 kg/s and radiation of 1250 W/m2, meanwhile, the difference in average working fluid temperature is lower than 1 oC. For a three-fold increase in fluid flow rate from 0.02 kg/s to 0.06 kg/s, the respective temperature decrease for the PV surface and working fluid is 7% and 14% respectively for both types of working fluid flow.
Website-Based Student Digital Report Card Design Khairul; Alviona Marsya; Triyadi, M Dico; Irsyad, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.152

Abstract

The use of computer technology continues to grow so that it has an impact on changes to a system, which was previously done manually, now the system can be computerized. Various education sectors, both formal and informal, continue to improve in various ways ranging from learning methods, learning media to learning outcomes that we know by the term report card. Digital report cards are not something that is classified as new in homeland education. Transferring grades that have been printed from the RDM (Raport Digital Madrasah) application to the report card book will take a long time because of the large number of students. A large number of grade data files will cause storage to accumulate. If there is a mistake in writing the value, searching for value data will take a long time. Not to mention some problems that occur when the report card given in the form of sheets of paper is wet, torn or lost which causes the school to have to reprint many times To overcome these problems, it is necessary to design a website-based digital report card information system that can be accessed by teachers, educators, and especially students. Schools need this system to managerialize student grade data, so that students and parents can view report card data online and anywhere as long as it is connected to an internet connection without the need to print it. System Development Life Cycle (SDLC) is the process of creating and changing systems and models and methodologies used to develop a system. The results obtained are a digital report card system that is practical to use and can minimize the risk of damage and loss of data hoping to help in retrieving student report cards more easily, can view data online, without the need to come to school.
Applying Local Interpretable Model-agnostic Explanations (LIME) for Interpretable Deep Learning in Lung Disease Detection Ananda, Sherly; Negara, Benny Sukma; Irsyad, Muhammad; Jasril, Jasril; Iskandar, Iwan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7042

Abstract

Artificial Intelligence (AI) semakin banyak diterapkan dalam bidang kesehatan melalui model Machine Learning (ML) dan Deep Learning (DL). Namun, kompleksitas model modern yang bersifat black-box menimbulkan kebutuhan akan metode interpretasi yang transparan. Explainable AI (XAI) hadir untuk menjembatani hal tersebut, dengan memberikan pemahaman yang lebih baik terhadap kinerja model. Penelitian ini mengimplementasikan metode Local Interpretable Model-agnostic Explanations (LIME) untuk memvisualisasikan hasil klasifikasi model DL berbasis arsitektur ResNet18 terhadap citra Chest X-ray (CXR) pada tiga kelas: normal, COVID-19, dan pneumonia. Model mencapai precision, recall, dan F1-score rata-rata sebesar 97%, serta Accuracy sebesar 98%. Visualisasi LIME menunjukkan area citra yang berkontribusi signifikan terhadap klasifikasi, serta mampu membedakan ketiga kelas dengan baik. Hasil ini mendukung penggunaan XAI untuk meningkatkan interpretabilitas model DL dalam diagnosis medis.
Interpreting Lung Disease Detection from Chest X-rays Using Layer-wise Relevance Propagation (LRP) Fauziyyah, Laila Nurul; Negara, Benny Sukma; Irsyad, Muhammad; Iskandar, Iwan; Yanto, Febi
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7043

Abstract

Penelitian ini mengusulkan pendekatan klasifikasi penyakit paru berbasis citra X-ray menggunakan arsitektur VGG16 yang dilengkapi metode interpretabilitas Layer-wise Relevance Propagation (LRP). Dataset terdiri dari tiga kelas: COVID-19, pneumonia, dan normal, yang diproses melalui augmentasi dan normalisasi. Model dilatih dengan rasio data 70:30, learning rate 0.001, batch size 32, dan optimizer Adam. Hasil pelatihan menunjukkan akurasi tinggi sebesar 96,78% dengan nilai precision, recall, dan F1-score yang seimbang. Metode LRP digunakan untuk menyoroti area penting pada citra yang berkontribusi terhadap prediksi model, sehingga meningkatkan transparansi keputusan. Kontribusi utama penelitian ini adalah integrasi VGG16 dengan LRP dalam klasifikasi multi-kelas citra X-ray, yang memberikan hasil akurat sekaligus interpretasi visual yang mendukung kepercayaan dalam aplikasi medis.
Application of Shapley Additive Explanations (SHAP) in Deep Learning for Lung Disease Detection Using X-ray Images Muliani, Sarifah; Negara, Benny Sukma; Irsyad, Muhammad; Jasril, Jasril; Iskandar, Iwan
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7044

Abstract

Pemeriksaan menggunakan citra x-ray merupakan metode yang efektif dalam membantu deteksi penyakit paru-paru, seperti COVID-19, dan pneumonia. Seiring dengan perkembangan teknologi yang meningkat, proses diagnosis kini dapat dilakukan secara lebih akurat dengan memanfaatkan sistem berbasis kecerdasan buatan. Salah satu metode yang banyak digunakan adalah deep learning namun metode ini bersifat black-box, sehingga hasil prediksi sulit dipahami dengan alasan dibalik keputusan model. Tujuan penelitian ini adalah untuk membangun sistem klasifikasi citra x-ray menggunakan model deep learning berbasis Convolutional Neural Network (CNN) dengan arsitektur VGG-16, serta menerapkan metode Shapley Additive Explanations (SHAP) untuk memberikan penjelasan mengenai visual terkait area citra yang mempengaruhi hasil prediksi. Model dilatih menggunakan beberapa konfigurasi, dan hasil terbaik diperoleh pada rasio data 80% : 20%, learning rate 0.001, batch size 32, dan 50 epoch. Hasil penelitian menunjukkan bahwa model mampu mencapai akurasi sebesar 95,75% pada data training dan 96,00% pada data validasi. Metode SHAP digunakan untuk meningkatkan pemahaman terhadap hasil prediksi. Hasil menunjukkan bahwa kombinasi deep learning dan SHAP mampu memberikan penjelasan visual terhadap hasil prediksi model.
Lung Disease Detection Using Gradient-Weighted Class Activation Mapping (Grad-CAM) Sofiyah, Wan; Negara, Benny Sukma; Irsyad, Muhammad; Iskandar, Iwan; Yanto, Febi
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7041

Abstract

Early detection of respiratory diseases such as Coronavirus Disease-19 (Covid-19) and Pneumonia is crucial for accelerating treatment and preventing more serious complications. This study proposes a method for classifying Chest X-ray (CXR) images using a Convolutional Neural Network (CNN) to distinguish between Covid-19, Pneumonia, and normal lungs. Model training involved exploring various hyperparameter combinations to find the optimal configuration. The best results were achieved with a learning rate of 0.001, 50 epochs, and a batch size of 32, yielding an accuracy of 96.33%. Evaluation was conducted using accuracy, precision, recall, F1-score, and confusion matrix metrics. This study uses Gradient-Weighted Class Activation Mapping (Grad-CAM) as a transparent interpretation tool for model decisions. The main contribution of this study is the application of Grad-CAM in multi-class CXR classification to enhance model interpretability in lung disease diagnosis.
Perancangan UI/UX Aplikasi Zaafer Mobile Menggunakan Metode Design Thinking Ardelia, Adinda Abidah; Irsyad, Muhammad; Chandra, Reski Mai; Affandes, Muhammad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1197

Abstract

Zaafer is a company specializing in slim-fit men’s Muslim attire, operating an official e-commerce site at www.zaaferindonesia.id. After interviewing ten users who had previously shopped on the Zaafer website, we found that they did not receive real-time notifications and felt more comfortable shopping via an Android app rather than through the website. This insight motivated the design of a mobile-based Zaafer application to enhance the user experience. The relationship between user interface interactions and UX is a critical factor in application design. This study aims to design the UI/UX of the Zaafer mobile application using the Design Thinking methodology, which comprises five stages: empathize, define, ideate, prototype, and testing. Prototype testing of the Zaafer mobile app using the Single Ease Question method yielded a score of 6.33 out of 7, indicating a good rating. Based on these results, we conclude that the UI/UX design of the Zaafer mobile application is well accepted by users.
Manifesting community language learning activities in Islamic boarding school speaking program Bukhori, Bukhori; Irsyad, Muhammad
Englisia Journal Vol 12 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ej.v12i2.28491

Abstract

Community Language Learning (CLL) is an educational approach designed to foster speaking proficiency. This study explores the application of CLL activities within an English-speaking program at an Islamic boarding school in Indragiri Hilir Regency, Riau. Employing a qualitative case study methodology, data were gathered through observations, interviews, and document analysis, involving four teachers and two students. Findings reveal that the CLL approach was implemented through four key activities: repetition, free conversation, listening practice, and daily speaking exercises, supported by media such as vocabulary boards (Richards & Rodgers, 2001). These activities significantly enhanced students’ speaking skills, fostering an interactive and collaborative learning environment. In conclusion, specific CLL activities proved effective for developing speaking proficiency in this Islamic boarding school context. Recommendations include addressing identified challenges to further optimize program effectiveness.
Do ESG Performance Improve Bank Stability: Comparative Analysis Islamic vs Conventional Bank Irsyad, Muhammad; Chairiyati, Fauziah; Rachmadi, Erfan
Jurnal Magister Ekonomi Syariah Vol. 3 No. 2 Desember (2024): J-MES: Jurnal Magister Ekonomi Syariah
Publisher : Program Studi Magister Ekonomi Syariah, Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jmes.2024.032-06

Abstract

This research examines the impact of ESG on the stability of conventional banks and Islamic banks in Indonesia and Malaysia. Using panel data from 140 conventional banks and 27 Islamic banks from 2014-2023, we found that ESG performance has a significantly positive impact on bank stability. The research results indicate that ESG significantly affects the stability of both Islamic and conventional banks. Furthermore, the research results also indicate that the environmental pillar has a more significant impact on the stability of conventional banks and the social pillar has a more significant impact on the stability of Islamic banks. The results of this research can be utilized by stakeholders to pay more attention to ESG performance as an effort to maintain the long-term stability of both conventional and Islamic banks.
Advancing precision in air quality forecasting through machine learning integration Komarudin, Muhamad; Ratna Sulistiyanti, Sri; Suharso, Suharso; Irsyad, Muhammad; Dian Septama, Hery; Yulianti, Titin; Sophian, Ali; Michel, Michel
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp2113-2122

Abstract

In an era where environmental concerns are escalating, air quality forecasting emerges. Forecasting is a crucial tool for addressing the adverse impacts of pollution on public health and ecosystems. In urban centers like Bandar Lampung, economic activities intensify pollution levels. This condition leveraging advanced machine learning forecasting methods can significantly mitigate these effects. This study evaluates the precision of long short-term memory (LSTM) and Prophet methods in predicting air quality. This study utilizes data from January 12, 2022 to November 9, 2023. The results reveal a distinct advantage of the LSTM method over the Prophet. The LSTM method showcases superior accuracy across all evaluation metrics. Specifically, the LSTM method achieved an average root mean squared error (RMSE) of 5.38, mean absolute error (MAE) of 3.94, and mean absolute percentage error (MAPE) of 0.07. In contrast, the Prophet method recorded higher error rates, with an average RMSE of 18.48, MAE of 15.61, and MAPE of 0.25. These numbers underscore the LSTM method's robustness and reliability in forecasting air quality. The result highlights its potential as a pivotal resource for environmental monitoring and policymaking to safeguard public health and promote sustainable urban development.
Co-Authors A.Yudi Eka Risano Adawiyah, Robi'Atul Aditya Gunawan, Aditya Admiral, Randa Agus Saputro, Mohammad Alif Agus Solikhin, Agus Agus Sugiri, Agus Agus Sutarjo Ahmad Farhan, Ahmad Ahmad Yonanda Ahyuni Ahyuni Akhmad Qashlim, Akhmad Alifa, Alifia Zuhriatul Alviona Marsya Alwis Alwis Amrizal Amrizal Amrul Amrul Amrul Ananda, Sherly Andysah Putera Utama Siahaan Angga Darma Prabowo Aniswita Anshari, Muhammad Isa Anwar, Hasrul Ardelia, Adinda Abidah Asbanu, Govira Christiadora Assyarify, Hanif Aulia, Weko Indira Romanti Aziz, Qithfirul Azmi, Khairil Baehaqi Bukhori, Bukhori Chairiyati, Fauziah Chandra, Reski Mai Dafid Slamet Setiana Delifah, Nur Denik Agustito Desmaiani, Herda Dian Fadli, Dian Dwi, Nurdin Edi Tarigan, Tri Juli Elisabet Tambunan Elliyana, Dessy Em Yunir, Em Eriyadi, Riko erman Balo, Asri Andrias H Fachry Abda El Rahman Fadhilah Syafria Fajri, Zidan Fakhira, Adzra Fauziyyah, Laila Nurul Febi Yanto Febriansyah, Wahyu Fitri Insani Fitria Sulistyowati Fitriaty, Fitriaty Gusti, Siska Kurnia Hadi Prayitno Hadi Prayitno, Hadi Haida Fitri Hakim, Naufal Harmen Harmen, Harmen Haryanto Haryanto Hasan Basri Helmy Fitriawan Helviansyah, Try Hendrawan, Rezki Naufan Herindar, Evania HERU WAHYUDI Hery Dian Septama Iffa, Marwika Rifattul Iis Afrianty Irza Sukmana, Irza istiqomah istiqomah Iswati, Eni Jaelani, Alan Jasril Jasril Jasril Jasril Jayawarsa, A.A. Ketut Jumriah Syam, Jumriah Syam Junaidi Junaidi Junidy, Muhammad Raihan Khairudin, Rizal Khairul Khirfatul Jannah Krismadinata Krismadinata, Krismadinata kurnia, fitra Kurniawan, Dondi Leni Marlina Lubis, Anggun Tri Utami BR. M, Musnaini M. Dyan Susila M. Haviz M. Ridho Ulya Martinus, Martinus Michel, Michel Misfa Susanto Muhamad Komarudin Muhammad Affandes Muhammad Arsan Jamili Muhammad Fikry Muliani, Sarifah Musafira Musafira Nadhif, Muhammad Hanif Nafrizal Najmi, Risna Lailatun Najmuddin Abd Shafa Nalis, Amrizal Nasution, Rodiah Nazir, Alwis Nazruddin Safaat Nazruddin Safaat H Negara, Benny Sukma Niky Fetra, Niky Nugraha, Yulian Nurlaila, Endang Pizaini Pizaini Pratiwi, Trya Ayu Putri Ayuni, Desy R.S, Salsa Faradilla Rachmadi, Erfan Rafaelandri, Billy Rahmad Kurniawan Rahmad Kurniawan Raka Indra Lukmana Ramadhan, Muhammad Ilham Ramadhan, Syabani Ratna Sulistiyanti, Sri Retno Putri Lestari Rijal Febriyantono, Muhammad Riszal, Akhmad Riszal, Akmad Rizal Adi Saputra Rudi Susanto Safitri, Jehan Salsabillah, Angelia E. Sardi, Hajra Sari, Tyasha Ayu Melynda Sarumpaet, Angela Setiawan, Ahmad Adi Sibawaihi Sibawaihi Silfia Hanani Silvy Amelia Sinaga, Jorfri Boike Sinaga, Jorfri Boyke Siti Mujiatun Siti Nurul Rofiqo Irwan Sofiyah, Wan Sophian, Ali Sri Rahayu Budiani Sri Sukaesih Sry Rosita Subhi, Yazid Abdullah Subuh Tugiono, Subuh Sugiman Sugiman Suharso Suharso Suharto Linuwih Sujadi, A.A. Sukatin, Sukatin Sukma Noor Akbar Sumarni Sumarni Supono Surya Agustian SUTRIONO SUTRIONO Suwanto Sanjaya Syarli, Syarli Tasnim Rahmat, Tasnim Titin Yulianti Triyadi, M Dico Uma, Yuli Choirul Vitriani, Yelfi Wahid Munawar Widiatama, Angga Jati Wiyanto - Yahya Mara Ardi Yani, Susmi Syahfrida Yefterson, Ridho Bayu Yogi, Muallim Supra Yosefa, Yessa Okta Yudianto Yudianto Yulian, Aji Muhammad Yuliani, Rika Yusma Indah Jayadi Yusra, Yusra Zainuddin, Ahmad Dennil Zakir, Supratman Zuhriyah, Indah Aminatus