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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 Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika RISTEKDIK : Jurnal Bimbingan dan Konseling 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 Jurnal Keilmuan Teknologi Informasi dan Ilmu Manajemen
Muhammad Qomaruddin
Universitas Islam Sultan Agung
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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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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.
Mamdani fuzzy-based water quality monitoring and control system in vannamei shrimp farming using the internet of things Qomaruddin, Muhammad; Riansyah, Andi; Hermawan, Hildan Mulyo
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp180-187

Abstract

Indonesia's vast ocean expanse, spanning two-thirds of its land, is a treasure trove of marine resources, with shrimp being a vital commodity in the country's fisheries exports. To ensure successful shrimp production, maintaining optimal water conditions is paramount, necessitating extensive, large-scale monitoring. Enter our innovative prototype an internet of things (IoT) system designed for comprehensive pond water quality oversight. This smart system monitors crucial parameters like pH, turbidity, temperature, and dissolved solids in vannamei shrimp cultivation. The Mamdani fuzzy approach dynamically adjusts operations in response to changing weather conditions, fine-tuning both pump and windmill speeds. This adaptive methodology significantly improves water quality control, enhancing overall efficiency. Our IoT infrastructure ensures real-time monitoring and control, creating an ideal environment for shrimp cultivation. The Mamdani fuzzy technique’s effectiveness shines in adapting to dynamic environmental shifts. Noteworthy findings underscore the system's ability to automate and elevate pond water quality, promising increased shrimp production. This technology has the potential to revolutionize traditional shrimp farming, particularly in regions like Rembang, by promoting sustainable aquaculture practices.
Deteksi Ketersediaan Tempat Parkir menggunakan Mask R-CNN (Studi Kasus : Fakultas Teknologi Industri Universitas Islam Sultan Agung) Ayudhawara, Ahmad; Poetro, Bagus Satrio Waluyo; Qomaruddin, Muhammad
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tempat parkir merupakan sarana yang dibutuhkan hampir oleh setiap orang, dan lagi jumlah pemilik kendaraan bermotor di Indonesia terus meningkat setiap tahunnya. Hal tersebut dapat menjadi suatu permasalahan untuk pengguna kendaraan untuk dapat menemukan lahan parkir yang semakin sedikit. Di zaman sekarang ini sudah banyak metode yang digunakan untuk dapat memudahkan sistem perparkiran, salah satunya dengan menggunakan ilmu citra digital. Sistem ini menggunakan metode deteksi objek pada citra digital yaitu Mask R-CNN dimana metode tersebut dapat mendeteksi banyak objek pada satu frame dengan hasil keluaran yang lebih lengkap. Sistem ini dibangun agar memudahkan pengguna kendaraan mobil untuk mencari lahan parkir yang masih kosong. Pengujian sistem ini menggunakan tiga sampel video dengan tempat dan kondisi yang berbeda. Hasil pengujian menunjukkan untuk rata-rata akurasi ketersediaan tempat parkir sebesar 96%, namun akurasi untuk deteksi objek kendaraan masih belum bagus.Keyword: mask r-cnn, parkir, deteksi objek.
GAMBARAN PROKRASTINASI AKADEMIK PADA PESERTA DIDIK KELAS XI SMA NEGERI 10 SEMARANG Qomaruddin, Muhammad; Suhendri, Suhendri; Dina, Farah
Ristekdik : Jurnal Bimbingan dan Konseling Vol 9, No 1 (2024): RISTEKDIK: JURNAL BIMBINGAN DAN KONSELING - JANUARI-MARET 2024
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/ristekdik.2024.v9i1.6-10

Abstract

Masih ditemukan nya masalah prokrastinasi akademik peserta didik menjadi latar belakang dari penelitian ini. Penelitian ini bertujuan untuk mengetahui gambaran prokrastinasi akademik pada peserta didik kelas XI SMA N 10 Semarang. Penelitian ini merupakan penelitian dengan pendekatan kuantitatif dan metode studi deskriptif. Jumlah sampel dalam penelitian ini adalah 186 peserta didik kelas XI dengan teknik pengambilan sampel menggunakan simple random sampling. Hasil penelitian menunjukan bahwa prokrastinasi akademik peserta didik di SMA N 10 Semarang Tahun Ajaran 2023/2024 rata-rata berada diposisi kategori sedang dengan 46,20%, dan ada  peserta didik yang memiliki tingkat prokrastinasi akademik yang tinggi 24,20% dan rendah 29,60%.
Perancangan Virtual Prvate Network L2tp Dengan Mikrotik Untuk Remote Access Pada Kejaksaan Negeri Jakarta Barat Maulana, Fajar; Qomaruddin, Muhammad
Jurnal Keilmuan Teknologi Informasi dan Ilmu Manajemen (Justifi) Vol 2 No 1 (2022): JURNAL JUSTIFI
Publisher : Jurnal Keilmuan Teknologi Informasi dan Ilmu Manajemen (Justifi)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With the increasing development of technology today, the need for information is increasing. Where everyone needs information in a fast, short, and accurate time. An agency or organization in carrying out its activities cannot be separated from the exchange of information between stakeholders with one another. A communication network is also very much needed at the West Jakarata District Attorney's office, as a means of communication for exchanging data and information. However, the presence of employees who carry out office activities outside the West Jakarta District Attorney is a problem because sometimes they have to return to the office to retrieve the data needed for work, where the data is on the local network inside the office, which results in inefficient work time. . Therefore, tools and networks are needed that can access data in the local office network anytime and anywhere the employee is located. Therefore, in this study, a Virtual Private Network network design was carried out with the Layer 2 Tunneling Protocol with IPsec as additional security, using Mikrotik. Which is a communication system on a computer network that allows a device to be connected directly using a public network, so that local networks can be accessed remotely. So that the configuration of the VPN server allows employees to remotely enter the office network from anywhere via a VPN server, which results in the conclusion that employees are more time efficient in doing their work. Because they can do office work such as creating or retrieving data and information needed in the local network of the West Jakarta District Attorney's office, and wherever they are.
Co-Authors Abdelhadi Husein Aburawis Abdul Hamid Adjat Sudradjat Ahmad, Zainal Ahsraf Ashraf Khalil Anton Anton Arief Marwanto Ayudhawara, Ahmad Azizah Abdul Rahman Azizah Abdul Rahman Dedy Kurniadi Deshinta Arrova Dewi Dina, Farah Dwiza Riana Emah Khuzaemah F Feriawan Habib ALzaroug Abobaker Wardeko Hermawan, Hildan Mulyo Iahad, Noorminshah A. Iahad, Noorminshah A. Imam Much Ibnu Subroto Jimsan Jimsan khaled jemah basher Marva Mirabolghasemi Maulana, Fajar Maya Indriastuti Mirabolghasemi, Marva Moch Taufik Muhamad Haddin 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 Rahman, Azizah Abdul Randhiati, Raisa Riansyah, Andi Riky Maulana Firdaus robi sopandi Roichatul Jannah Setyanto, Barry Nur Sri Mulyono Sucipto, Dany Suhendri Suhendri Tri Basuki Kurniawan Yudha Adi Putra