Article Per Year (5 Year)
p-Index From 2021 - 2026
5.119
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi Jurnal Teknik Elektro Tadris: Jurnal keguruan dan Ilmu Tarbiyah Sinergi Jurnal Penelitian dan Pembelajaran IPA Economic Education Analysis Journal IJIE (Indonesian Journal of Informatics Education) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Community Empowerment Journal of Soft Computing Exploration TIERS Information Technology Journal MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Pendidikan Indonesia (Japendi) Journal of Mandalika Literature Jurnal Bina Desa Jurnal Abdi Negeri
Yahya Nur Ifriza
Information System Study Program, Universitas Negeri Semarang, Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
Analysis of Coding Stress Impact on Students Programming Skills with Random Forest and C4.5 Algorithms Azkiya, M. Akiyasul; Ifriza, Yahya Nur
Jurnal Ilmu Komputer dan Informasi Vol. 18 No. 2 (2025): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v18i2.1487

Abstract

Students' stress often impedes their advancement in programming, which demands logical reasoning, an understanding of algorithms, and a firm grasp of basic concepts. This research intends to pinpoint the elements that affect students' programming abilities, explore their connection to stress levels, and assess the effectiveness of the Random Forest and C4.5 algorithms in classifying data. Information was gathered through an online questionnaire involving 744 students in 2024 at various leading universities in Islamabad, Pakistan. The dataset used in this study was sourced from Kaggle, which provides insights into factors affecting students' programming performance and stress levels. The analysis utilized a Confusion Matrix and evaluation metrics like accuracy, precision, recall, and F1-Score. The analysis results indicate that the C4.5 algorithm has a higher accuracy of 68.04% compared to Random Forest, which achieved 65.54%. Additionally, C4.5 outperforms Random Forest in terms of precision, scoring 71.7% versus 65.2%. However, in terms of recall, Random Forest performs better with a score of 66.3%, while C4.5 only reaches 59.6%. This study confirms that interest in programming, debugging skills, mathematical and analytical abilities, and perceptions of programming significantly impact students' performance and stress levels. Students with strong logical abilities and adequate support demonstrate better performance and lower stress levels, whereas those with weak technical skills and negative perceptions are more vulnerable to stress, which adversely affects their performance. These findings emphasize the importance of creating a positive learning environment through interactive methods, structured problem-solving, and additional support.
Student Adaptability Level Optimization using GridsearchCV with Gaussian Naive Bayes and K-Nearest Neighbor Methods as an Effort to Improve Online Education Predictions Arifudin, Riza; Subhan, Subhan; Ifriza, Yahya Nur
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.88972

Abstract

This increase in adaptability is sought through the application of optimization techniques using the Gaussian Naive Bayes and K-Nearest Neighbor (KNN) methods. This research utilizes GridSearchCV to find optimal parameter configurations in both methods. The Gaussian Naive Bayes method will be used to analyze and classify student adaptability patterns based on historical data. In addition, the K-Nearest Neighbor (KNN) method will be used to utilize information from students who have similar characteristics to increase prediction accuracy. The main steps of this research involve collecting student adaptability data from online education sources, processing the data to obtain relevant features, and using GridSearchCV to find the best parameters in the Gaussian Naive Bayes and KNN models. By optimizing the prediction model using the GridSearchCV technique, this research is expected to make a significant contribution to improving the quality of online education, creating a more adaptive learning environment, and helping educational institutions in designing appropriate learning models. The Receiver Operating Characteristic (ROC) curve also showed a superior Area Under the Curve (AUC) score for KNN at 0.89, compared to GNB 0.81, confirming that the optimized KNN model offers significantly better sensitivity and specificity in predicting student adaptability levels in online education.
Eco-educational culture tourism: Efforts to improve community welfare in Timpik Village Mu'arifuddin, Mu'arifuddin; Rifandi, Raditya Ahmad; Ifriza, Yahya Nur
Community Empowerment Vol 10 No 5 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12897

Abstract

This community service activity aims to increase the knowledge and capacity of the Timpik Village community in managing sustainable tourism villages through the application of the eco-educational culture tourism concept. The activities carried out included socialization and training for POKDARWIS and PKK organizations. The results of this activity show an increase in community knowledge and capacity in managing sustainable tourism villages based on eco-educational culture tourism. Thus, Timpik Village has the opportunity to develop into a sustainable tourism destination, which not only attracts visitors but also empowers local communities economically and socially.
Developing Professional Science Teacher Candidates' Teaching Skills Based on Next Generation Science Standards (NGSS) Parmin, Parmin; Rahayu, Endah Fitriani; Ifriza, Yahya Nur; Siminto, Siminto
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 8 No 1 (2023): 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.v8i1.16596

Abstract

This study aims to develop the teaching skills of science teacher candidates by integrating Indonesian standards with the criteria of the Next Generation Science Standards (NGSS) through innovative microteaching practices. A mixed-methods approach was used for this research, which targeted science teacher candidates enrolled in microteaching courses, partner teachers, and microteaching lecturers. A total of 20 teacher candidates from a single microteaching class were the subjects of this research. An innovation introduced in this study allowed each student to review and analyze videos of previous microteaching sessions prior to their own practice. Data was collected from the microteaching curriculum, microteaching videos, and effectiveness tests of two developed products. The instrument used was an open-ended observation sheet. Microteaching practices were found to develop the teaching skills of professional science teacher candidates in line with NGSS criteria. Partner teachers reported a variety of positive experiences related to the development of syllabi, lesson plans, teaching materials, student worksheets, and assessments. The positive practices of these partner teachers were used as material for collaboration with lecturers in microteaching courses. The findings of this research indicate that collaboration with teachers in microteaching courses to provide information and feedback to teacher candidates, from preparation and implementation to evaluation of learning, plays a significant role in developing teaching skills.
Optimization Artificial Neural Network (ANN) Models with Adam Optimizer to Improve Customer Satisfaction Business Banking Prediction Ifriza, Yahya Nur; Mandaya, Yusuf Wisnu; Sanusi, Ratna Nur Mustika; Febriyanto, Hendra; Jabbar, Abdul; Kamaruddin, Azlina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4776

Abstract

Customer satisfaction prediction is critical for business banking to retain clients and optimize services, yet existing models struggle with imbalanced data and suboptimal convergence. Traditional approaches lack adaptive learning mechanisms, limiting accuracy in real-world applications. This study developed an optimized Artificial Neural Network (ANN) model using the Adam algorithm to improve prediction accuracy for banking customer satisfaction. We trained an ANN on the Santander Customer Satisfaction Dataset (76,019 entries, 371 features) with Adam optimization. Preprocessing included normalization, removal of quasi-constant features, and an 80-20 train-test split. Adam’s adaptive learning rates and momentum were leveraged to address gradient instability. The model achieved 95.82% accuracy, 99.99% precision, 95.83% recall, a 97.87% F1-score, and 0.82 AUC, outperforming traditional optimizers like SGD. Training loss reduced by 30% with faster convergence. This work demonstrates Adam’s efficacy in handling imbalanced banking data, providing a scalable framework for customer analytics. The results advance computer science applications in fintech by integrating adaptive optimization with deep learning for high-stakes decision-making. This research contributes to the growing body of knowledge in machine learning applications for business analytics and provides a valuable framework for improving customer satisfaction prediction models in various industries and the advancement of deep learning applications in business intelligence, particularly in banking service quality prediction.
Analysis of Relationship Between Self Efficacy and Resilience on Kip-Kuliah Students Learning Outcomes Ifriza, Yahya Nur; Mufsiroh, Istijabah Ifti; Shabrina, Amalina; Faizah, Nurul; Retnoningrum, Sri Murti
Jurnal Pendidikan Indonesia Vol. 6 No. 5 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i5.7796

Abstract

The KIP-Kuliah scholarship program aims to support underprivileged Indonesian students in higher education, yet the psychological factors influencing their success remain underexplored. This study investigates the interplay between self-efficacy and resilience in shaping academic and non-academic outcomes among KIP-Kuliah recipients. The research aims to (1) analyze the relationship between self-efficacy and resilience, and (2) assess their combined impact on learning achievements. A mixed-methods approach was employed, combining quantitative surveys (n=100) and qualitative interviews (n=10) with KIP-Kuliah students at Universitas Negeri Semarang. Statistical analyses (correlation, regression) and thematic interviews were conducted. Results revealed a strong positive correlation (r=0.678, p<0.01) between self-efficacy and resilience. Qualitative data underscored the role of financial aid, social support, and organizational involvement in enhancing these traits. The study highlights the need for integrated support programs that address both financial and psychological barriers. Recommendations include tailored mentoring and policy enhancements to maximize the KIP-Kuliah program’s impact.
Peningkatan Kapasitas Pokdarwis sebagai  Pengelola Rintisan Desa Wisata Timpik Kabupaten Semarang Muarifuddin, Muarifuddin; Decky Avrilianda; Niam Wahzudik; Yahya Nur Ifriza; Dhela Septian Anggaretta
Jurnal Bina Desa Vol. 7 No. 3 (2025): Vol 7 No 3 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jurnalbinadesa.v7i3.35389

Abstract

Timpik Village is the largest village in Susukan District, boasting beautiful views of rice fields and hills, along with fertile soil. In addition to its abundant natural resources, it also boasts a vibrant human population dedicated to advancing its village. The diverse culture and arts contribute to the development of the Tourism Awareness Group (Pokdarwis). Timpik Village, in pioneering its tourism development, focuses on the arts. The artistic culture of Timpik Village residents serves as both social capital and a tourism vehicle. The Pokdarwis serves as a leading driver for the development of the village's potential. The arts and culture it possesses serve as a source of local wisdom that must be preserved, while simultaneously upholding the mission of cultural preservation. The work program design serves as a guideline for realizing Timpik Tourism Village as a tourism village based on local cultural wisdom. Pokdarwis is able to manage existing tourism in the village, create, develop, and even create tourist destinations.
Implementasi Penguatan Literasi Ziswaf Digital Berbasis Quick Response Code Indonesian Standard (QRIS) Sebagai Strategi Pembayaran Pada Lembaga Amil Zakat (LAZ) Ifriza, Yahya Nur; Jayanto, Prabowo Yudo; Jumanto, Jumanto; Sam’an, Muhammad
Jurnal Abdi Negeri Vol 1 No 1 (2023): Januari 2023
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v1i1.1

Abstract

Permasalahan prioritas utama yang dihadapi mitra adalah kurangnya pengetahuan pengelolaan zakat digital dan belum adanya Quick Response Code Indonesian Standard (QRIS) yang dapat ditawarkan kepada masyarakat. Sehingga solusi yang ditawarkan adalah Peningkatan kapasitas pengelolaan zakat digital berbasis QRIS di LAZ CB Zakat. Solusi tersebut dilaksanakan dalam bentuk workshop Pengembangan QRIS LAZ CB Zakat, workshop Fasilitator zakat digital, pembuatan QRIS LAZ CB Zakat dan pembuatan Video Simulasi zakat digital berbasis QRIS. Secara umum pelaksanaan kegiatan menggunakan pendekatan Model zakat digital berbasis QRIS terbagi menjadi empat tahapan, yaitu tahap persiapan, tahap pelaksanaan, dan tahap evaluasi dan monitoring. Adapun upaya untuk keberlanjutan program adalah melalui penempatan mahasiswa penggerak. Keberlanjutan program juga diupayakan dengan membangung kemitraan antara Lembaga amil zakat dengan berbagai pihak yang ada di kota semarang, seperti LAZ CB Zakat, LAZ Bank Muammalat, dan berbagai pihak yang bergerak dalam bidang pengelolaan zakat. Berdasarkan evaluasi setelah kegiatan ditemukan bahwa ada peningkatan pengetahuan sebesar 86% tentang penggunaan QRIS.
Penguatan Prestasi Mahasiswa Melalui Pendampingan dan Pembinaan Lembaga Kemahasiswaan di Jurusan Ilmu Komputer UNNES Subhan, Subhan; Jumanto; Hakim, M Faris Al; Ifriza, Yahya Nur; Prasetiyo, Budi
Jurnal Abdi Negeri Vol 1 No 1 (2023): Januari 2023
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v1i1.2

Abstract

Prestasi mahasiswa menjadi bagian penting dari perguruan tinggi yang perlu dikuatkan. Pada kegiatan ini, penulis melakukan penguatan prestasi mahasiswa melalui pendampingan dan pembinaan lembaga kemahasiswaan. Permasalahan prioritas utama yang dihadapi lembaga kemahasiswaan adalah kurangnya pemanduan bakat mahasiswa dan kurangnya pembinaan bahasa inggris untuk presentasi dalam kompetisi. Sehingga solusi yang ditawarkan adalah peningkatan sikap sadar prestasi mahasiswa, pendampingan bakat mahasiswa, serta peningkatan kapasitas presentasi dan bahasa inggris. Solusi tersebut diwujudkan menggunakan model pembinaan sekolah prestasi yang terdiri dari 4 bentuk kegiatan. Metode pelaksanaan dengan pendekatan permasalahan yang melibatkan partisipasi aktif mitra. Bentuk kegiatan terdiri dari: (1) Pembentukan sekolah prestasi; 2) Workshop motivasi berprestasi; (3) Bimtek pembuatan media presentasi untuk kompetisi (4) Pelatihan presentasi bahasa inggris untuk kompetisi. Hasil kegiatan ini, lembaga kemahasiswaan sangat terbantu dengan penataan kegiatan kemahasiswaan. Mahasiswa lebih terarah dalam menargetkan prestasi yang ditargetkan.
Strategi Peningkatan Penjualan Produk Batik UMKM Gunungpati Melalui Optimalisasi Program Internet Marketing (I-Market) Ifriza, Yahya Nur; Subhan; Nur Fateah; Muhammad Sam’an
Jurnal Abdi Negeri Vol 2 No 1 (2024): Januari 2024
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v2i1.17

Abstract

Pengembangan usaha mikro, kecil, dan menengah (UMKM) khususnya dalam sektor batik di Kecamatan Gunungpati, Kota Semarang, menjadi fokus dalam penelitian ini. Artikel pengabdian ini bertujuan untuk mengidentifikasi dan menerapkan strategi peningkatan penjualan produk batik UMKM Gunungpati melalui optimalisasi Program Internet Marketing (I-Market). Dengan memanfaatkan potensi teknologi digital, penelitian ini mengeksplorasi penerapan platform online sebagai sarana efektif dalam memasarkan produk batik secara berkelanjutan. Metode penelitian melibatkan studi literatur, survei lapangan, serta pelatihan dan pendampingan kepada pelaku UMKM batik di Gunungpati. Hasil penelitian menunjukkan bahwa optimalisasi Program Internet Marketing (I-Market) dapat memberikan dampak positif terhadap peningkatan penjualan produk batik UMKM. Strategi yang melibatkan pemanfaatan media sosial, platform e-commerce, dan teknik promosi online menjadi kunci utama dalam meraih keberhasilan. Melalui pendekatan ini, diharapkan UMKM batik di Gunungpati dapat meningkatkan daya saingnya dalam pasar digital, menciptakan peluang bisnis baru, serta memberikan kontribusi positif terhadap ekonomi lokal. Selain itu, artikel ini juga memberikan gambaran tentang bagaimana integrasi teknologi digital dalam pemasaran dapat menjadi solusi bagi UMKM dalam menghadapi tantangan global. Peningkatan penjualan yang berkelanjutan diharapkan dapat mendorong pertumbuhan ekonomi lokal dan memberikan dampak positif bagi para pelaku UMKM batik di Gunungpati, Kota Semarang. Berdasarkan evaluasi setelah kegiatan ditemukan bahwa ada peningkatan pengetahuan sebesar 85% tentang I-Market.
Co-Authors Abdul Jabbar Agung Kuswantoro Alamsyah - Amalina Shabrina Antonius Supriyadi Antonius Supriyadi Azkiya, M. Akiyasul Budi Prasetiyo, Budi Budiman, Kholiq Damayanti, Dela Rista Decky Avrilianda Dhela Septian Anggaretta Djuniadi Djuniadi Efrilianda, Devi Ajeng Erna Noor Savitri, Erna Noor Fateah, Nur Febriyanto, Hendra Hakim, M Faris Al Hakim, M. Faris Al Istijabah Ifti Mufsiroh Jumanto Jumanto Jumanto, Jumanto Kamaruddin, Azlina Masfufati Azizah Mu'arifuddin, Mu'arifuddin Muarifuddin Muarifuddin, Muarifuddin Much Aziz Muslim Mufsiroh, Istijabah Ifti Muhammad Sam&#039;an Muhammad Sam’an Niam Wahzudik Nina Oktarina Nur Fateah Nurul Faizah NURUL FAIZAH Parmin - Parmin Parmin Parmin, Parmin Prabowo Yudo Jayanto Purasani, Hana Netti Raditya Ahmad Rifandi Rahayu, Endah Fitriani Rakainsa, Senda Kartika Retnoningrum, Sri Murti Riza Arifudin Sam'an, Muhammad Sam’an, Muhammad Sanusi, Ratna Nur Mustika Satrio Ardiansyah, Adi Shabrina, Amalina Siminto Siminto Siminto Siminto, Siminto Sri Murti Retnoningrum Subhan Subhan Subhan Sudarno Sudarno Supriyadi, Antonius Syarif, Deny Lukman Trisni Suryarini Trisni Wulandari Veronika Trisni Wulandari Veronika Veronika, Trisni Wulandari Wicaksono, Suntoro Widhihastuti, Endah Widhiya Ninsiana, Widhiya Wisudani Rahmaningtyas Yosza Dasril Yusuf Wisnu Mandaya