Article Per Year (5 Year)
p-Index From 2021 - 2026
2.926
P-Index
This Author published in this journals
All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Informatika dan Teknik Elektro Terapan I-ECONOMICS: A Research Journal on Islamic Economics Register: Jurnal Ilmiah Teknologi Sistem Informasi INTEGER: Journal of Information Technology Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Edunomika (JIE) Jifosi Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) Jurnal Material dan Energi Indonesia Islamic Banking & Economic Law Studies Al-Intaj : Jurnal Ekonomi dan Perbankan Syariah Journal of Visionary Sharia Economy (JOVISHE) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Muttaqin, Faisal
Unknown Affiliation
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 20 Documents
Search

 1   2 
PENGARUH TOTAL QUALITY MANAGEMENT TERHADAP KEPUASAN JAMAAH HAJI PADA KEMENTERIAN AGAMA KOTA BENGKULU Juwairiah, Juwairiah; Idwal, Idwal; Muttaqin, Faisal
JURNAL ILMIAH EDUNOMIKA Vol 8, No 4 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i4.15267

Abstract

This research aims to determine whether there is a significant influence of total quality management on the satisfaction of Hajj pilgrims at the Ministry of Religion, Bengkulu Watuk City. To test this, the researcher used a quantitative descriptive method with a sample of 30 respondents. The data analysis technique used is simple linear regression using SPSS. From the results of the research and discussion, it was found that total quality management does not have a significant influence on the satisfaction of Hajj pilgrims from the Ministry of Religion of Bengkulu City.
Effectiveness of Halal Certification Labels on Halal Cuisine at Beach Tourist Sites on Tourists' Customer Satisfaction and Behavioral Intention Novrianda, Herry; Muttaqin, Faisal
Al-Intaj : Jurnal Ekonomi dan Perbankan Syariah Vol 10, No 2 (2024)
Publisher : Faculty of Economics and Islamic Business, UIN Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/aij.v10i2.4809

Abstract

Purpose: This study aims to explore the impact of halal certification on tourist satisfaction and behavioral intention. The primary focus is to understand the extent to which halal certification influences the experiences of tourists within the context of halal culinary offerings.Design/methodology: The research employs an experimental methodology, with an experimental design structured as (visual label, textual label) x 2 (halal content warning label, non-label) between subjects. The study involves 120 tourists visiting various attractions across Bengkulu Province. Participants were randomly assigned to different experimental cells, each exposed to distinct stimuli, to assess the effects of halal certification.Findings: The results of the study support all proposed hypotheses. The halal certification label on halal culinary products has a significant positive effect on customer satisfaction. Additionally, the presence of halal certification significantly influences tourists' behavioral intentions.Practical implications: The findings of this research provide valuable insights for policymakers, particularly government authorities, in formulating and enhancing policies related to halal certification and tourism development in Indonesia.Originality/Value: This research contributes to the literature by addressing a theoretical gap concerning the effectiveness of halal certification in the context of halal tourism. The study offers a substantial academic contribution, with implications for policy formulation in the tourism sector.
Analisis Peran Strategis Bank Syariah Indonesia Terhadap Pertumbuhan Ekonomi di Indonesia Pasca Covid-19 Harniati, Resi; Asnaini, Asnaini; Muttaqin, Faisal
JOVISHE : Journal of Visionary Sharia Economy Vol. 1 No. 1 (2022): Edition June 2022
Publisher : Yayasan Lembaga Studi Makwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57255/jovishe.v1i1.78

Abstract

Tujuan penelitian ini adalah untuk mengetahui peran keberadaan Bank Syariah Indonesia (BSI) terhadap ekonomi di Indonesia berdasarkan pada perspektif muamalah yang berkaitan dengan syariah islam serta mengetahui peran strategis yang dilakukan Bank Syariah Indonesia (BSI) dalam mendorong pertumbuhan ekonomi di Indonesia pasca covid-19. Untuk menguji hal ini, peneliti menggunakan metode kualitatif dengan desain studi pustaka (library Research) dengan teknik pengumpulan data sekunder berupa observasi, studi literature dan dokumentasi. Teknik analisis data yang digunakan adalah analisis isi (Content Analysis). Dari hasil penelitian ditemukan bahwa keberadaan bank syariah Indonesia memiliki peranan penting dalam pertumbuhan ekonomi sebagai sektor industri keuangan syariah yang menerapkan prinsip muamalah berdasarkan Al-Quran dan as-sunnah,  dan peran strategis bank syariah Indonesia dalam meningkatkan pertumbuhan ekonomi salah satunya dengan meningkatkan perkembangan pembiayaan modal bagi pelaku usaha khususnya dibidang UMKM untuk meningkatkan aktivitas ekonomi yang berpengaruh pada pertumbuhan ekonomi Negara, untuk meningkatkan pendapatan produk domestik bruto (PDB), mengurangi tingkat kemiskinan dan pengangguran serta menjaga tingkat inflasi yang stabil. Dimana saat itu perekonomian Indonesia melemah di tahun 2020, bahkan seluruh dunia mengalami kesulitan ekonomi yang disebabkan oleh wabah covid-19, virus ini tidak hanya menyerang kesehatan fisik namun juga menyerang kesehatan ekonomi finansial manusia. Abstract The purpose of this study was to determine the role of the Indonesian Sharia Bank (BSI) in the economy in Indonesia based on the muamalah perspective related to Islamic sharia and to find out the strategic role played by the Indonesian Sharia Bank (BSI) in encouraging economic growth in Indonesia post-covid-19.  To test this, researchers used qualitative methods with a library research design with secondary data collection techniques in the form of observation, literature study and documentation.  The data analysis technique used is content analysis.  From the results of the study it was found that the existence of Indonesian Islamic banks has an important role in economic growth as an Islamic financial industry sector that applies muamalah principles based on the Al-Quran and as-sunnah, and the strategic role of Indonesian Islamic banks in increasing economic growth is one of them by increasing development  capital financing for business actors, especially in the field of UMKM to increase economic activity that affects the country's economic growth, to increase gross domestic product (GDP) income, reduce poverty and unemployment rates and maintain a stable inflation rate.  At that time, the Indonesian economy was weakening in 2020, even the whole world was experiencing economic difficulties caused by the Covid-19 outbreak. This virus not only attacked physical health but also attacked human financial and economic health.  
PENGARUH TOTAL QUALITY MANAGEMENT TERHADAP KEPUASAN JAMAAH HAJI PADA KEMENTERIAN AGAMA KOTA BENGKULU Juwairiah, Juwairiah; Idwal, Idwal; Muttaqin, Faisal
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 4 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i4.15267

Abstract

This research aims to determine whether there is a significant influence of total quality management on the satisfaction of Hajj pilgrims at the Ministry of Religion, Bengkulu Watuk City. To test this, the researcher used a quantitative descriptive method with a sample of 30 respondents. The data analysis technique used is simple linear regression using SPSS. From the results of the research and discussion, it was found that total quality management does not have a significant influence on the satisfaction of Hajj pilgrims from the Ministry of Religion of Bengkulu City.
Perbandingan Model Transfer Learning InceptionV3 dan ResNet50 untuk Klasifikasi Penyakit Mata pada Citra Retina Oktavian, Jaguar Deva Nanggalasakti; Arishandy, Zalfa Ibtisamah; Zakita, Asyer Pradana Putra; Muttaqin, Faisal
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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

Abstract

Penyakit mata seperti retinopati diabetik, glaukoma, dan katarak merupakan penyebab utama gangguan penglihatan global yang memerlukan deteksi dini untuk mencegah kerusakan permanen. Mengingat keterbatasan jumlah spesialis mata, pengembangan sistem diagnosis otomatis berbasis kecerdasan buatan menjadi solusi krusial untuk efisiensi skrining medis. Penelitian ini bertujuan untuk melakukan studi komparatif antara dua arsitektur Transfer Learning populer, yaitu InceptionV3 dan ResNet50, guna menentukan model yang paling optimal dalam mengklasifikasikan penyakit mata melalui citra retina. Dataset yang digunakan terdiri dari 4.217 citra fundus retina yang terbagi ke dalam empat kelas: Cataract, Diabetic Retinopathy, Glaucoma, dan Normal, dengan penerapan teknik augmentasi data untuk meningkatkan generalisasi model. Melalui serangkaian eksperimen terkontrol, hasil evaluasi menunjukkan bahwa arsitektur ResNet50 memiliki performa yang lebih unggul dibandingkan InceptionV3. ResNet50 berhasil mencapai tingkat akurasi sebesar 90% dengan nilai precision, recall, dan F1-score yang stabil di angka 0.90, sedangkan InceptionV3 mencatatkan akurasi sebesar 84%. Berdasarkan stabilitas pelatihan dan kemampuan generalisasi data, ResNet50 direkomendasikan sebagai arsitektur yang lebih andal untuk implementasi sistem deteksi dini penyakit mata pada citra retina.
Sistem Informasi Penjadwalan Latihan dan Kunjungan Penyuluh Pertanian (SIJALUTANI) Muttaqin, Faisal; Maulana, Hendra; Yuliastuti, Gusti Eka
INTEGER: Journal of Information Technology Vol 7, No 2 (2022): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2022.v7i2.3402

Abstract

The rapid development of information technology can affect all aspects of daily life. One example is information systems. An information system is very important because it can make it easier for us to get the information we need. This is an abstract version of the Indonesian language. The Department of Food Security and Agriculture of Bojonegoro Regency is one of the agencies that needs to implement an information system related to scheduling agricultural extension workers because there is a problem where the scheduling of training and visits of agricultural instructors is done manually. Making an information system is a solution to the problems experienced. The information system that will be created by the author is named SIJALUTANI, where the name is an abbreviation of the Information System for Scheduling Training and Agricultural Extension Visits. The model applied to this information system is using the Waterfall Model.
PERAN BIG DATA DALAM MANAJEMEN DATA DAN INFORMASI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN (SYSTEMATIC LITERATURE REVIEW) Suryantari, Putu Anggi; Muttaqin, Faisal; Rahajoe, Ani Dijah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8899

Abstract

Big Data telah menjadi komponen penting dalam manajemen data dan informasi seiring dengan meningkatnya volume dan kompleksitas data yang dihasilkan oleh organisasi. Pemanfaatan Big Data yang tepat memungkinkan organisasi untuk mengelola data secara lebih terstruktur dan menghasilkan informasi yang bernilai bagi pengambilan keputusan manajemen. Penelitian ini bertujuan untuk menganalisis peran Big Data dalam manajemen data dan informasi sebagai sistem pendukung keputusan melalui pendekatan Systematic Literature Review. Metode penelitian dilakukan dengan mengkaji 15 artikel ilmiah yang relevan berdasarkan proses pencarian dan penilaian kualitas literatur. Hasil penelitian menunjukkan bahwa pengelolaan Big Data yang baik mempertimbangkan karakteristik utama Big Data yang meliputi volume, kecepatan, variasi, keandalan, dan nilai data. Selain itu, pemanfaatan Big Data berperan dalam meningkatkan kualitas informasi, mempercepat proses pengambilan keputusan, serta mendukung keputusan manajemen yang lebih akurat dan berbasis data. Dengan demikian, Big Data memberikan kontribusi positif dalam mendukung sistem pendukung keputusan pada organisasi.
Pengaruh preprocessing citra retina pada klasifikasi diabetic retinopathy berbasis prototypical network Wulyono, Abi Eka Putra; Muttaqin, Faisal; Mulyo, Budi Mukhamad
Computer Science and Information Technology Vol 7 No 1 (2026): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v7i1.11126

Abstract

Diabetic retinopathy is a diabetes complication that can lead to progressive retinal damage and permanent blindness. Early detection through automated fundus image classification is essential but challenged by varying image quality, background noise, and color dominance that reduces lesion visibility. Prototypical networks have demonstrated good performance in few-shot learning settings, yet specialized preprocessing is rarely explored. This study proposes a prototypical network enhanced with modified circle crop to remove irrelevant regions and enhanced green channel to improve microvascular lesion contrast. Experiments were conducted on the APTOS 2019 dataset consisting of 3,662 images, split into 2,929 training and 733 testing samples, using a 5-way 5-shot configuration. The proposed preprocessing increases accuracy from 64.53 percent to 71.35 percent and improves quadratic weighted kappa from 0.5712 to 0.6990. These results indicate that preprocessing enhances feature representation and classification performance under limited data conditions.
Analisis Efisiensi Arsitektur U-Net dengan Encoder MobileNetV2 pada Segmentasi Karat Daun Kopi Adeva, Muhammad; Muttaqin, Faisal; Mulyo, Budi Mukhamad
Computer Science and Information Technology Vol 7 No 1 (2026): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v7i1.11221

Abstract

Coffee Leaf Rust (Hemileia vastatrix) poses a serious threat to Robusta coffee productivity. Manual identification is often slow and subjective, while standard Deep Learning segmentation methods like U-Net with VGG16 encoder bear heavy computational loads (~24.89 million parameters), hindering deployment on resource-constrained devices. This study aims to optimize computational efficiency by proposing a Lightweight U-Net architecture based on the MobileNetV2 encoder. The model's performance was comparatively evaluated against the VGG16 baseline using the PlantSeg public dataset. Experimental results show that MobileNetV2 integration successfully reduced model size massively by 96% (to ~0.95 million parameters) and accelerated inference time by ~20% (76.28 ms). Although there was a slight F1-Score decrease of 0.3% compared to the baseline, the proposed architecture offers the best trade-off between efficiency and accuracy, making it a viable solution for mobile implementation
Klasifikasi kendaraan bermotor berdasarkan jumlah gandar menggunakan adaptive minimal ensemble Al Hakim, Abdurrahman; Muttaqin, Faisal; Hendra Maulana
Computer Science and Information Technology Vol 7 No 1 (2026): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v7i1.11239

Abstract

The increasing volume of motor vehicles requires automated monitoring for the classification of heavy vehicle categories (Category I–V) based on the number of axles using side-view cameras. This process represents a complex fine-grained visual classification challenge due to the similar body shapes of trucks. To address the dilemma between the need for high accuracy and computational efficiency, this study implements an Adaptive Minimal Ensemble (AME) architecture that adaptively combines small-scale models.  The model is evaluated using a confusion matrix along with accuracy, precision, recall, and F1-score metrics. The testing results demonstrate that a single EfficientNetV2-S model is only able to achieve a maximum accuracy of 83% and exhibits significant limitations in extracting crucial distinguishing features, leading to misclassification of Category 4 and 5 vehicles. In contrast, the AME architecture, which utilizes the two best-performing EfficientNetV2-S base models, successfully achieves a substantial performance improvement with 95% accuracy, 95.21% precision, 95% recall, and a 94.99% F1-score.  In conclusion, the adaptive layer mechanism in AME is proven to be highly effective in compensating for the individual prediction weaknesses of its base models, resulting in a significantly more precise vehicle classification monitoring system.
Co-Authors Abda Abda Adeva, Muhammad Al Hakim, Abdurrahman Alfioni, Sovita Ani Dijah Rahajoe Arishandy, Zalfa Ibtisamah Asnaini Asnaini, Asnaini B, Idwal Fatimatuz Zuhro, Fatimatuz Fitri, Marsellina Gusti Eka Yuliastuti Harniati, Resi Haryanto, Yosafat Donni Herry Novrianda Idwal, Idwal Juwairiah Juwairiah Made Hanindia Prami Swari Maulana, Hendra Mulyo, Budi Mukhamad Oktavian, Jaguar Deva Nanggalasakti pramitha sari, nova Pratama Wirya Atmaja Putra, Chrystia Aji Rachmania, Rachmania Rahmadsyach, Mochammad Taufiq RIZKI ZULIANDRY, MUHAMMAD IVAN Shar, Aan Subagio, Arif Widiasan Sugiarto S Suryantari, Putu Anggi Wulyono, Abi Eka Putra Zakita, Asyer Pradana Putra