Article Per Year (5 Year)
p-Index From 2021 - 2026
3.057
P-Index
This Author published in this journals
All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JSFK (Jurnal Sains Farmasi & Klinis) Jurnal Bimas Islam IQ (Ilmu Al-qur'an): Jurnal Pendidikan Islam Jurnal Mekanik Terapan Jurnal Ilmiah Wahana Pendidikan Media Jurnal Informatika Simpatik: Jurnal sistem Informasi dan Informatika Jurnal Ekonomi dan Manajemen (JEKMA) JOMPA ABDI: Jurnal Pengabdian Masyarakat Takuana: Jurnal Pendidikan, Sains, dan Humaniora Indonesian Journal Economic Review (IJER) The Journal of City: Branding and Authenticity Jurnal Teknologi Informasi Indonesia Tamaddun: Jurnal Ilmu Sosial, Seni, dan Humaniora Jurnal Abdimas Untag Samarinda Madania: Jurnal Kajian Keislaman Journal of Modern Social and Humanities
Fikri Maulana, Fikri
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
A Multidimensional Framework for Improving Qur’anic Teacher Performance in Formal Islamic Educational Institutions Marlius, Farizal; Shunhaji, Akhmad; Siskandar, Siskandar; Bachrie Tanrere, Syamsul; Anwar, Chairul; Maulana, Fikri
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 10 No 2 (2025): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v10i1.26725

Abstract

This study investigates the effectiveness of Qur’anic teachers in delivering instruction to learners across various age groups within formal Islamic educational institutions. The research is motivated by the absence of standardized professional criteria for Qur’anic educators, which has contributed to inconsistent teaching practices, instructional challenges, and varying interpretive outcomes among students. The study aims to (1) identify the key factors that influence Qur’anic teachers’ performance and (2) explore the strategies implemented by school leaders to enhance instructional quality. Using a qualitative design, data were gathered through interviews, classroom observations, and document analysis involving Qur’anic teachers, students, and institutional administrators. The credibility of the data was strengthened through prolonged engagement, persistent observation, and methodological triangulation. The findings indicate that effective Qur’anic teaching performance is demonstrated through strong content mastery, the application of appropriate pedagogical strategies, and the ability to address students’ inquiries using reliable scholarly sources. The study highlights the importance of clearly defined performance standards and targeted professional development initiatives in enhancing the overall quality of Qur’anic education.
Classification of Banana Ripeness Using a VGG16-Based Convolutional Neural Network (CNN) Maulana, Fikri
Media Jurnal Informatika Vol 17, No 2 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.5930

Abstract

The ripeness level of bananas is a crucial factor that affects the quality, taste, and selling value of the commodity, but the manual sorting process that is commonly carried out is still subjective, inconsistent, and time-consuming. This study aims to implement and evaluate the performance of a VGG16-based Convolutional Neural Network (CNN) architecture in automatically classifying the ripeness level of bananas. The research dataset consists of 5,616 digital images obtained from the Roboflow Universe platform and grouped into six specific classes: freshripe, freshunripe, overripe, ripe, rotten, and unripe. The system development methodology includes data division using stratified splitting techniques, image pre-processing with data augmentation strategies to prevent overfitting, and the application of transfer learning. The model was trained using the Stochastic Gradient Descent (SGD) optimization algorithm with a learning rate of 0.001 for 25 epochs on GPU-based hardware. Performance evaluation was conducted in depth using a confusion matrix, F1-Score metrics, and Precision-Recall curve analysis. The experimental results showed that the VGG16 model achieved an overall accuracy of 97.13%. Class-by-class analysis shows perfect performance in the freshunripe category, although there is a slight decrease in precision in the ripe class due to the similarity of visual characteristics with the overripe class. The stability of the training and validation accuracy curves also indicates that the model has good generalization capabilities. This study concludes that the VGG16 architecture is a reliable and accurate solution to support the efficiency of smart farming systems.
Determinants of Purchasing Decisions for the Erigo Brand on the Shopee Application Laksono, Rudi; Maulana, Fikri
Indonesian Journal Economic Review (IJER) Vol. 6 No. 1 (2026): March
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v6i1.712

Abstract

This study aims to describe and analyze the effect of price and product quality on purchasing decisions of Erigo fashion products on the Shopee application, both partially and simultaneously. This research employed a survey approach using descriptive and quantitative methods. Data were collected through questionnaires distributed to 50 students of the Institut Bisnis dan Informatika Kosgoro 1957 and analyzed using SPSS version 26. The validity test results indicate that all questionnaire items have Corrected Item–Total Correlation (CITC) values above 0.30, while the reliability test results show that the Cronbach’s Alpha values for all variables are greater than 0.60, indicating that the research instruments are valid and reliable. Descriptive analysis results show that the price variable has the highest score of 211, reflected by the discount or promotion dimension with the indicator of discounted price and promotion. The product quality variable also records the highest score of 211, reflected by the feature dimension with the indicator of features that facilitate ease of use, while the lowest score is found in the durability indicator at 181. For the purchasing decision variable, the highest score of 218 is reflected by the information search dimension with the indicator of pre-purchase information-seeking activity. Hypothesis testing results reveal that price has a positive and significant effect on purchasing decisions, as indicated by a t-value of 6.099, which is greater than the t-table value of 2.012. Product quality also shows a positive and significant effect with a t-value of 2.256, which is greater than the t-table value of 2.012. Simultaneously, price and product quality have a significant effect on purchasing decisions, as indicated by an F-value of 112.410, which is greater than the F-table value of 3.20, and a coefficient of determination (R²) of 0.845, meaning that 84.5% of the variation in purchasing decisions can be explained by price and product quality. Therefore, the purchasing decisions of students toward Erigo products on Shopee are primarily influenced by competitive pricing through promotional programs and product quality reflected in ease-of-use features, although product durability still needs improvement.
Co-Authors Abdul Rahman, Mohd Safian Bin Abdussomad, Abdussomad Abidin Riam , Zaenal ACHMAD FAUZI Agung Wibowo Alam, Mufassirul Anggeraini, Juliya Anwar, Muhammad Syaiful Bachrie Tanrere, Syamsul Bakrie, Ismail Banuaji, Tristan BENNI ISKANDAR Chairul Anwar Desri, Syuryatman Destiani, Risma Dwiny Meidelfi Erwin Budi Setiawan Fajriani, Fenny Fatahillah, Irfan Fauziah, Erna Firda, Muti'ah Graha, Fager Van Hamid, Ihsan HUSNI, MUHAMMAD FAHD DIYAR Ihsan Ikhtiarudin Ilham Kurniawan Irawati Irawati Jumani, Jumani juraidi, ahmad Kaimudin, Kaimudin Marlius, Farizal Muflihin, Iin Yunus Muhit, Abdul Mulyawati, Husni Muslimin Muslimin Neni Frimayanti Rahma Dona Ramadhan, Abdillah Riam, Zaenal Abidin Rinata, Radisa Rohman, Baeti Rudi Laksono Saputra, Sahrul Aji Shunhaji, Akhmad Silalahi, Nova Tantri Siskandar Siskandar, Siskandar Sitorus, Yalizar Rahayu Sugeng Mulyono Sunaryo, Silfiyanti Syafitri, Anisa Nur'aini Tagor Rambey Winika, Tiara Resti Zaenal Abidin