Article Per Year (5 Year)
p-Index From 2021 - 2026
3.329
P-Index
This Author published in this journals
All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Journal of Tropical Soils Jurnal Pengabdian UntukMu NegeRI Jurnal DIDIKA: Wahana Ilmiah Pendidikan Dasar Network Engineering Research Operation [NERO] al-Afkar, Journal For Islamic Studies Pendas : Jurnah Ilmiah Pendidikan Dasar Al Ahkam Khazanah Intelektual Multicience Al-Afaq: Jurnal Ilmu Falak dan Astronomi Tepis Wiring : Jurnal Pengabdian Masyarakat Jurnal Riset Rumpun Ilmu Tanaman International Journal of Asian Business and Management (IJABM) JSE: Jurnal Sharia Economica Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Kesehatan Pengabdian Masyarakat AL-Ikhtiar : Jurnal Studi Islam An Najah (Jurnal Pendidikan Islam dan Sosial Keagamaan) Jurnal Jurisprudence Jurnal Ilmiah Teknologi dan Komputer (JITTER)
Muhammad Abdul Aziz
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Transformational Leadership of Kiai: Efforts to Strengthen Teacher Performance at the Hidayatul Mubtadiien Islamic Boarding School in South Lampung Muhammad Abdul Aziz; Rahmat; Fathi Hisyam Panagara
al-Afkar, Journal For Islamic Studies Vol. 9 No. 2 (2026)
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/afkarjournal.v9i2.3372

Abstract

The quality of education in Indonesia faces serious challenges related to low teacher competency, and teacher performance in Islamic boarding schools (pesantren) is inextricably linked to the way leadership authority shapes commitment, discipline, and organizational rhythm. This article aims to explore the articulation of the kiai's transformational leadership in improving the performance of educators at the Hidayatul Mubtadiien Islamic Boarding School in South Lampung. Using a qualitative single-case study method, data were collected in depth to examine the dynamics of leadership in the field. The results show that the dimensions of ideal influence, inspirational motivation, and individual attention are operationalized through the integration of strong religiosity values ​​as a form of spiritual "energy transfer." The novelty of this study lies in the mechanism of transforming kiai authority into a collective work tool that fosters discipline and innovation without eroding the tradition of the salaf. The implications of this research emphasize the importance of synergy between spiritual leadership and modern management to address quality incompatibilities in traditional educational institutions. This study provides a theoretical contribution to the development of an Islamic educational leadership model that is adaptive to global dynamics.
Implementation of CNN Method with Otsu Thresholding Preprocessing for Pneumonia Detection Surya Afriza; Noval Aditya Candra Pratama; Muhammad Abdul Aziz; Faisal Muttaqin
JITTER: Jurnal Ilmiah Teknologi dan Komputer Vol. 7 No. 1 (2026): JITTER, Vol.7, No.1, April 2026
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

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

Abstract

Pneumonia is a lung infection requiring rapid diagnosis to prevent fatal complications, yet X-ray image quality often hinders manual detection accuracy. This study proposes a hybrid approach using a Convolutional Neural Network (CNN) optimized with Otsu Thresholding for lung area (Region of Interest) segmentation. Experiments were conducted on 1,840 images from a secondary dataset. Evaluation results demonstrate a highly balanced and superior model performance, achieving 96% Recall, 91% F1-Score, and 96% Accuracy. The alignment between accuracy and recall values indicates that the model possesses equally good sensitivity and specificity in detecting both positive and negative cases. These findings prove that Otsu pre-processing effectively assists the CNN in focusing on pathological features, making this method a promising automated diagnostic solution.
Co-Authors Agung Dhamar Syakti Ahmad Adib Rofiudin Ahmad Izzuddin Ahmad Subhan Alfi Tranggono Agus Salim Alhidayatullah Bagus Pratama Baiq Dini Rahayu Wardani Betharia, Roro Clarizze Yvoine Mirielle Daniel Swanjaya Desy Safitri Devid Frastiawan Amir Sup Dyah Adriantini Sintha Dewi Eko Suryani Elya, Elya Kusuma Dewi Fahmanisatul Rodiyah Faisal Muttaqin FANNY HENDRO ARYO PUTRO Fathi Hisyam Panagara Fredy Susanto Fuad Muchlis Hamidi Rasyid Hana Fadila Hapid Hardiansyah Hendra Rustantono Ida Mardalena Indarto Yuwono Insyiah Meida Luktyansyah Iqbal Noor Irma Puspita Dewi Jamal lullail Jovial Auliya Furqan Khairul Anam Basyar Leni Zahara Lutfiah Fauziah Paslah M. Makbul Milenia Ayu Saraswati Mira Maulidina Moh. Yani Muhammad Irkham Firdaus Muhammad Khairul Amal Muhyar Fanani Mulyani Syafitri Musabihatul Kudsiah Noval Aditya Candra Pratama Nur Aini Farida Poppy Arisandy Priyono Rahmat Resty Wulanningrum Retnowati, May Shinta Rizky Nugraha Sabinah Azzahra Septia Amanda Sari Siregar, Valdi Muhamad Rafiansyah Siswanto Soekarno Mismana Putra Sri Wahyuni Sujarwo SULASTRI Sulfan Bagus Setyawan Surya Afriza Tanto Lailam Tety Nur Cholifah, Tety Nur TOPAN SETIAWAN Ubaeydilah ma’ruf Vina Fithriana Wibisono Vita Sari Wahyu Pribadi WAHYUNING CHUMAESON Yanti, Yulia Eka