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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Jurnal Teknologi Elektro JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pengabdian Masyarakat Asia JUSTIN (Jurnal Sistem dan Teknologi Informasi) J-ESA (Jurnal Ekonomi Syariah) Jurnal Studi Sosial Keagamaan Syekh Nurjati International Journal of Contemporary Studies in Education Prosiding Seminar Riset Mahasiswa
Muhammad Qomaruddin
Universitas Islam Sultan Agung
Religion Arts Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Sebuah Identifikasi yang Ditingkatkan dari Penyakit Katup Jantung Dengan Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN) Muhammad Rafli Ramadhan; Satria Mandala; Rafi Ullah; Wael M.S. Yafooz; Muhammad Qomaruddin
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 1: March 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n1.1184.2024

Abstract

Valvular Heart Disease (VHD) is a significant cause of mortality worldwide. Although extensive research has been conducted to address this issue, practical implementation of existing VHD detection results in medicine still falls short of optimal performance. Recent investigations into machine learning for VHD detection have achieved commendable accuracy, sensitivity, and robustness. To address this limitation, our research proposes utilizing Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN) to enhance VHD detection. Notably, SFD-CNN operates on phonocardiogram (PCG) signals, distinguishing itself from existing methods based on electrocardiogram (ECG) signals. We present two experimental scenarios to assess the performance of SFD-CNN: one under default parameter conditions and another with hyperparameter tuning. The experimental results demonstrate that SFD-CNN surpasses other existing models, achieving outstanding accuracy (96.80%), precision (93.25%), sensitivity (91.99%), specificity (98.00%), and F1-score (92.09%). The outstanding performance of SFD-CNN in VHD detection suggests that it holds great promise for practical use in various medical applications. Its potential lies in its ability to accurately identify and classify VHD, enabling early detection and timely intervention. SFD-CNN could significantly improve patient outcomes and reduce the burden on healthcare systems. With further development and refinement, SFD-CNN has the potential to revolutionize the field of VHD detection and become an indispensable tool for healthcare professionals.
Sistem Kendali Closed Loop Pada Mesin Extruder Straw Berbasis Logika Fuzzy Sucipto, Dany; Qomaruddin, Muhammad; Marwanto, Arief
Jurnal Teknologi Elektro Vol 15, No 1 (2024)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2024.v15i1.001

Abstract

Akibat panas yang berlebihan pada heater, heater  mati atau panas terlalu tinggi, tetapi motor DC pada extruder tetap berjalan dan mengeluarkan resin, sehingga hasil produksi tidak sesuai dengan desain. Sehingga diperlukan sebuah methoda untuk pengendalian mesin extruder agar produksi dapat berjalan dengan baik. Penelitian dilakukan dengan mengontrol parameter operasional seperti suhu, kecepatan ekstrusi pada mesin. implementasi sistem kendali closed-loop yang mampu beradaptasi dengan perubahan dalam proses ekstrusi. Sistem ini secara otomatis mengontrol parameter operasional berdasarkan umpan balik yang diterima dari keluaran produksi. Pengujian awal menunjukkan bahwa sistem kendali ini memiliki potensi untuk meningkatkan efisiensi produksi dan menghasilkan sedotan plastik dengan kualitas yang lebih stabil. Metode logika fuzzy digunakan untuk mengatasi variabilitas dalam bahan baku dan perubahan kondisi operasional, sehingga menghasilkan hasil produksi yang lebih konsisten dan berkualitas baik. Logika fuzzy yang digunakan dalam sistem kendali closed-loop mesin extruder straw menghasilkan dampak positif dalam mengatasi variabilitas produksi.  Hasil percobaan menunjukkan bahwa methoda closed loop dan fuzzy logic yang diimplementasikan pada mesin extruder ini dapat mengatasi kerusakkan produksi dengan nilai defuzifikasi 6,8 dengan nilai sedang. Sehingga kendali closed-loop dapat bekerja didua kondisi yaitu panas sedang dan tinggi. Kata kunci : Mesin extruders, kendali close loop, Logika Fuzzy
Ingsun Titip Tajug Lan Fakir Miskin, Sunan Gunung Jati's Advice Toward True Human Plenitude Qomaruddin, Muhammad
Jurnal Studi Sosial Keagamaan Syekh Nurjati Vol 4 No 2 (2024)
Publisher : Rumah Moderasi Beragama of Cyber Islamic University Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/sejati.v4i2.89

Abstract

Sunan Gunung Jati is one of God's guardians who struggled to spread Islam in the archipelago and has a famous advice “Ingsun Titip Tajug lan Fakir Miskin”. This research aims to explore the values of Sunan Gunung Jati's famous advice comprehensively from a theological perspective. The method used is a qualitative method with a descriptive approach through literature review. The results showed that Sunan Gunung Jati's advice was not only to take care of the tajug (musala) and the poor. However, the value of Ilahiyyah and Insaniyyah reveals the depth of the message to the concept of being a complete human being. The foundation of the naqli argument also illustrates how important it is to maintain the relationship between a servant and his God and fellow creatures. Through theological analysis, the message of Ingsun Titip Tajug Lan Fakir Miskin can be interpreted as profound advice so that humans, especially Muslims, can become pious and humane individuals. Not apart from that, the Prophet Muhammad is also a true human figure who provides an exemplary attitude so that his people strive towards a complete human being by maintaining a balance of hablumminallah and hablumminannass. This research recommends that religious leaders be able to maintain and implement Sunan Gunung Jati's famous advice.
ANALISIS KELAYAKAN BISNIS KULINER KHAS BANJAR MIE BANCIR AGUS SASIRANGAN Qomaruddin, Muhammad; Randhiati, Raisa; Ahmad, Zainal
J-ESA (Jurnal Ekonomi Syariah) Vol 5 No 2 (2022): Desember
Publisher : Program Studi Ekonomi Syariah IAI Muhammadiyah Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52266/jesa.v5i2.1630

Abstract

Keanekaragaman rempah-rempah membuat Indonesia memiliki berbagai macam kuliner khas nusantara. Salah satunya adalah Mie Bancir yang merupakan salah satu kuliner khas dari Banjar, Kalimantan Selatan, dan juga dimiliki oleh seorang master Chef bernama Agus Sasirangan. Tujuan dari penelitian ini adalah untuk mengetahui kelayakan pada bisnis kuliner rumah makan Mie Bancir Agus Sasirangan berdasarkan aspek-aspek studi kelayakan yang mencakup aspek hukum, aspek lingkungan, aspek pasar dan pemasaran, aspek teknis dan teknologi, aspek manajemen dan sumber daya manusia, dan aspek keuangan. Jenis penelitian deskriptif dengan menggunakan data kualitatif dan data kuantitatif melalui teknis checklist, wawancara, dan dokumentasi. Teknis analisis data kualitatif meliputi aspek hukum, lingkungan, pasar dan pemasaran, teknis dan teknologi, dan manajemen dan sumbe daya manusia. Adapun analisis data kuantitatif meliputi aspek keuangan berdasarkan konsep probfitabilitas rumah makan. Hasil analisis menunjukan bahwa bisnis kuliner Mie Bancir Agus Sasirangan sudah memenuhi seluruh aspek kelayakan bisnis.
Problem-Based Deep Learning Practice in Analyzing the Content of Muslim Hadiths Narrated by Abu Hurairah Qomaruddin, Muhammad; Khuzaemah, Emah; Hamid, Abdul
International Journal of Contemporary Studies in Education Vol. 4 No. 2 (2025)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/ijcse.v4i2.1574

Abstract

Purpose – Learning is a series of important processes in an effort to maximize knowledge transfer between educators and students. The problem-based Deep Learning approach is one of the solutions to increase students' reasoning in understanding a material. Methodology – This study employs a descriptive qualitative approach. The collected data serve as the primary source of information. The data are then analyzed using Miles and Huberman's theory through three stages: data collection, data reduction, data display, and conclusion drawing/verification. Findings – The results showed an increase in students' critical reasoning as shown through observation of their analytical exposure in solving problems. This indicates a significant contribution of the deep learning approach to problem-based learning in an effort to strengthen students' deep understanding of the material being taught. Novelty – This study offers a novel integration of the problem-based learning model with a deep learning approach in the context of Islamic religious education, specifically the analysis of Hadith content narrated by Abu Hurairah. Unlike previous studies that often treat religious learning as rote memorization, this research demonstrates how students can develop critical reasoning and deep conceptual understanding through analytical engagement. It provides a new pedagogical framework that links religious text analysis with higher-order thinking skills. Significance – This study is particularly beneficial for Islamic education practitioners, curriculum developers, and educators in secondary schools, especially those seeking innovative methods to enhance students' comprehension of religious texts. Furthermore, it contributes to the broader field of educational methodology, offering insights for researchers and policy-makers interested in implementing student-centered and thinking-oriented learning strategies across different subject areas.
Pneumonia detection system using convolutional neural network with DenseNet201 architecture Qomaruddin, Muhammad; Riansyah, Andi; Hermawan, Hildan Mulyo; Taufik, Moch
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 14, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v14i3.pp1172-1178

Abstract

The diagnosis of pneumonia remains a significant challenge for medical practitioners worldwide, particularly in regions with limited healthcare resources. Traditional interpretation of chest X-rays is time-consuming and often subjective, especially when images are of low quality. This study presents the development of a web-based system utilizing the DenseNet201 architecture to address these challenges. A series of experiments were conducted to evaluate three optimizers Adam, Adamax, and Adadelta over fifty epochs. Among them, Adamax yielded the best performance, achieving a training accuracy of 93.67% and a validation accuracy of 94.20%. When tested on new data, the system consistently delivered high performance, with accuracy, precision, recall, and F1 score all reaching 96%. These results suggest that the proposed system has the potential to significantly enhance the accuracy and efficiency of pneumonia diagnosis based on chest X-rays.
Training and Mentoring on Supply Chain Finance for Smoked Fish SMEs in Rowosari District, Kendal Regency Kartikasari, Lisa; Qomaruddin, Muhammad; Indriastuti, Maya
Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v5i2.1413

Abstract

Purpose: The aim of this community service is to help Smoked Fish SMEs in Bulak and Ketapang Villages access additional working capital and build partnerships with suppliers, distributors, and consumers. The focus is on improving their understanding of capital loan procedures and enhancing their supply chain relationships to ensure business sustainability. Method: The approach includes assessing SMEs' knowledge of loan procedures, conducting training to improve their loan application and partnership-building skills, and monitoring the results to measure impact and effectiveness. Practical Applications: This initiative will enable SMEs to secure financing and strengthen partnerships, leading to improved business performance, market expansion, and overall sustainability, benefiting both the businesses and the local community. Conclusion: By increasing SMEs' knowledge of capital loans and partnerships, this activity enhances their ability to grow and sustain their businesses, contributing to local economic development and community welfare.
Co-Authors Abdelhadi Husein Aburawis Abdul Hamid Adjat Sudradjat Ahmad Ayudhawara Ahmad, Zainal Ahsraf Ashraf Khalil Andi Riansyah Anton Anton Arief Marwanto Azizah Abdul Rahman Azizah Abdul Rahman Dedy Kurniadi Deshinta Arrova Dewi Dwiza Riana Emah Khuzaemah F Feriawan Habib ALzaroug Abobaker Wardeko Hermawan, Hildan Mulyo Hildan Mulyo Hermawan Iahad, Noorminshah A. Iahad, Noorminshah A. Imam Much Ibnu Subroto Jimsan Jimsan khaled jemah basher Marva Mirabolghasemi Maya Indriastuti Mirabolghasemi, Marva Moch Taufik Muhamad Haddin Muhammad Rafli Ramadhan Muhammad Rifai Rifai Muhammad Syaiful Anwar Mustafa, Mustafa Noorminshah A. Iahad Noorminshah A. Iahad Noorminshah A. Iahad Noorminshah A.Iahad Novianty, Deny Palasara, Nico Dias Poetro, Bagus Satrio Waluyo Rafi Ullah Rahman, Azizah Abdul Randhiati, Raisa Riansyah, Andi Riky Maulana Firdaus robi sopandi Roichatul Jannah Satria Mandala Setyanto, Barry Nur Sri Mulyono Sucipto, Dany Tri Basuki Kurniawan Wael M.S. Yafooz Yudha Adi Putra