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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Natural Science: Journal of Science and Technology The Journal of Experimental Life Sciences (JELS) CAUCHY: Jurnal Matematika Murni dan Aplikasi Bulletin of Electrical Engineering and Informatics JAS (Journal of ASEAN Studies) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknik Pengairan: Journal of Water Resources Engineering Dauliyah Journal of Islamic and International Affairs JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Electro Luceat BAREKENG: Jurnal Ilmu Matematika dan Terapan Edukasi Islami: Jurnal Pendidikan Islam Jurnal al-Ulum : Jurnal Pemikiran dan penelitian ke-Islaman Jurnal Sisfokom (Sistem Informasi dan Komputer) LINGUISTIK : Jurnal Bahasa dan Sastra Nation State : Journal of International Studies Justisia Ekonomika Journal of Electronics, Electromedical Engineering, and Medical Informatics Ulumuna: Jurnal Studi Keislaman RESIPROKAL: Jurnal Riset Sosiologi Progresif Aktual Community Service Journal of Indonesia Journal of Robotics and Control (JRC) INSPIRASI: Jurnal Kajian dan Penelitian Pendidikan Islam Jurnal Pendidikan dan Kewirausahaan Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Management - Small and Medium Enterprises (SME's) Al Ghazali: Jurnal Kajian Pendidikan Islam dan Studi Islam Jurnal Teknik Informatika (JUTIF) Ulumuna Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Dharmas Education Journal (DE_Journal) MANAJERIAL: Jurnal Inovasi Manajemen dan Supervisi Pendidikan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Journal Corner of Education, Linguistics, and Literature Indonesian Journal of Peace and Security Studies PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Sumber Daya Air Indonesian Journal of Global Discourse Tanfidziya: Journal of Arabic Education JURNAL ILMU PENDIDIKAN Qawanin: Journal of Economic Syaria Law Prosiding University Research Colloquium POACE: Jurnal Program Studi Administrasi Pendidikan Jurnal Ekonomi Syariah dan Hukum Islam Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat Bangsa Pengabdian Pendidikan Indonesia (PPI) Indonesian Journal of Mathematics and Applications International Journal of Post-Axial: Futuristic Teaching and Learning Jurnal Kebijakan Pembangunan Daerah (JKPD) Alamtana Jurnal Cendekia Ilmiah Aspirasi: Jurnal Ilmiah Administrasi Negara Jurnal Indonesia Mengabdi
Syaiful Anam
School of Political Science and International Studies, Queensland University, Australia
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Implementation of Islamic Religious Education in Higher Education Anam, Syaiful; Robbaniyah, Qiyadah; Lina, Roidah; Widiyanto, Widiyanto
Edukasi Islami: Jurnal Pendidikan Islam Vol. 12 No. 04 (2023): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v12i04.5108

Abstract

The purpose of this study was to determine the Implementation of Islamic Religious Education in tertiary institutions, with the object of research in tertiary institutions under Majlis Atturot Al-islamy Foundation. Qualitative research methods with the type of field research, data collection by interviews, observation and documentation. Data analysis with triangulation. The result of this research is that reviving religious culture among lecturers and staff in tertiary institutions can be an important effort to develop positive religious, moral and ethical values in the academic environment. Some of the religious cultures that are built in tertiary institutions are, Ikhlash, responsible, disciplined, and trustworthy in carrying out tasks, appearance, simple and in accordance with Shari'at guidelines, have noble character and can be role models for their students in speaking, behaving and behave, maintain and establish brotherhood between ustadz, prioritize husnudzhon attitudes, improve and develop scientific quality, maintain and implement Islamic law, guard speech, must participate in activities set by the institution, be fair and wise in imposing sanctions on students. obey the leadership and institutional regulations as long as they do not conflict with the Shari'a.The programs that are running are: studying the Koran, weekly studies,  wearing sharia clothes.
PELATIHAN PEMBUATAN KOMIK DIGITAL MENGGUNAKAN PIXTON APP DI SMK AL-ITTIHAD OKU TIMUR Pratami, Fisnia; Devita Sari, Nindy; Anam, Syaiful; Akhodiyah, Sulistina; Rosulana, Ahmad
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.33731

Abstract

Pelatihan pembuatan komik digital menggunakan aplikasi Pixton di SMK Al-Ittihad bertujuan untuk meningkatkan keterampilan digital dan kreativitas siswa dalam menyampaikan ide dan cerita melalui media visual. Di era teknologi yang terus berkembang, pemanfaatan aplikasi digital dalam pendidikan menjadi semakin penting. Pixton, sebuah aplikasi pembuat komik digital, menawarkan fitur-fitur yang mudah digunakan dan interaktif, sehingga cocok untuk diaplikasikan dalam lingkungan pendidikan. Pelatihan ini dirancang untuk memberikan pemahaman dasar tentang komik digital, pengenalan aplikasi Pixton, serta teknik-teknik dasar dalam mendesain komik. Metode Pelatihan meliputi presentasi materi, diskusi interaktif, dan praktik langsung menggunakan Pixton. Peserta pelatihan terdiri dari siswa kelas X dan XI SMK. Siswa diberikan kesempatan untuk merancang dan membuat komik digital mereka sendiri. Hasil dari pelatihan siswa bisa menggunakan teknologi untuk tujuan kreatif, mengembangkan keterampilan dalam bercerita secara visual, dan memperkaya metode pembelajaran di SMK Al-Ittihad. Dengan keterampilan baru ini siswa mampu menghasilkan e-komik. Melalui pendampingan ini siswa mampu menghadapi tantangan di era digital dan memiliki alat tambahan untuk mengekspresikan ide-ide mereka secara kreatif.
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN LEMBAR KERJA MANDIRI (LKM) TERHADAP KEMAMPUAN MENULIS PUISI SISWA KELAS 8A DI SMP NEGERI 2 BELITANG JAYA OKU TIMUR Suryani, Suryani; Anam, Syaiful; Sundari, Sundari; Siska, Siska
Linguistik : Jurnal Bahasa dan Sastra Vol 9, No 1 (2024): LINGUISTIK: Jurnal Bahasa dan Sastra
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/linguistik.v9i1.154-164

Abstract

Penelitian ini bertujuan mengetahui pengaruh penggunaan media pembelajaran Lembar Kerja Mandiri (LKM) terhadap kemampuan menulis puisi siswa kelas 8A di SMP Negeri 2 Belitang Jaya OKU Timur. Penelitian dilakukan menggunakan ancangan kuantitatif. populasi dalam penelitian ini adalah siswa SMP Negeri 02 Belitang Jaya kelas VIII sebanyak 2 kelas dengan jumlah siswa 53 orang. Penelitian dilakukan pada siswa kelas VIIIa, dari dua kelas, satu yang di jadikan sampel. Berdasarkan kajian yang dilakukan, dapat disimpulkan bahwa Penggunaan keterampilan menulis puisi menggunakan lembar kerja mandiri (LKM) memberikan dampak yang positif sebesar 25% bagi peserta didik lebih aktif dalam proses belajar. Dengan demikian, dalam hal ini dapat disimpulkan bahwa H0 ditolak dan H1 diterima.
New perspective in enhancing Papanicolaou-smear image using CLAHE and spider monkey optimization Khozaimi, Ach; Muharini Kusumawinahyu, Wuryansari; Darti, Isnani; Anam, Syaiful; Nahdhiyah, Ulfatun
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10250

Abstract

High-quality Papanicolaou (Pap) smear images are essential for reliable early detection of cervical cancer, yet low contrast and noise often hinder accurate interpretation. This study introduces spider monkey optimization (SMO)-contrast-limited adaptive histogram equalization (CLAHE), an optimized CLAHE framework guided by the SMO algorithm. A novel signal contrast (SC) objective function is proposed, combining perceptual enhancement contrast enhancement-based image quality (CEIQ) with fidelity preservation peak signal-to-noise ratio (PSNR) to adaptively tune CLAHE parameters. Experiments on the publicly available SIPaKMeD and Mendeley LBC datasets demonstrate that SMO-CLAHE consistently outperforms manual settings and flower pollination algorithm (FPA)-based optimization, and achieves performance comparable to pelican optimization algorithm (POA) across key quality metrics including entropy, structural similarity index (SSIM), PSNR, enhancement measure estimation (EME), root mean square contrast (RMSC), standard deviation (STD-DEV), and CEIQ. Furthermore, downstream evaluation using a MobileNetV3-S classifier shows that the enhanced images lead to improved cervical cancer classification performance. These results highlight SMO-CLAHE as a robust and clinically relevant preprocessing framework, offering a new perspective for Pap smear image enhancement and diagnostic support.
IMPROVING MADRASAH TEACHERS' COMPETENCIES IN ARTIFICIAL INTELLIGENCE-BASED LEARNING DATA PROCESSING IN BATU CITY Anam, Syaiful; Aziz Bukhori, Hilmi; Maulana, Avin; Yanti, Indah; Gustiningsih Hapsani, Anggi
Community Service Journal of Indonesia Vol. 7 No. 2 (2025): Community Service Journal of Indonesia
Publisher : Institute for Research and Community Service, Health Polytechnic of Kerta Cendekia, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36720/csji.v7i2.813

Abstract

Teacher competence is a crucial factor in improving the quality of education..This community service program aimed to enhance the professional competence of madrasah teachers in processing learning data using artificial intelligence (AI)-based tools. Conducted through a one-day intensive workshop in Batu City, the program involved 18 teachers from five madrasahs at the Madrasah Aliyah and Madrasah Tsanawiyah levels. The training adopted the ADDIE instructional design model, covering needs analysis, AI-assisted data processing with Google Sheets and ChatGPT/OpenAI, reinforcement of AI ethics, and infographic creation. Quantitative evaluation showed a significant improvement in participants’ competencies, with average scores increasing from 60.3 (pre-test) to 86.3 (post-test). The most notable progress was observed in logical operations (IF function mastery) and ethical awareness in AI use, while 88% of participants reported high satisfaction with the training content and delivery. The program effectively integrated digital literacy, ethical reflection, and practical application to foster teacher professionalism. Beyond individual competence, this initiative contributed to building a sustainable collaborative network through the Subject Teachers’ Working Group (MGMP) and provided a replicable model for technology-based professional development in Islamic education.
The Artificial Bee Colony (ABC) Algorithm for Estimating Parameter of Epidemic Influenza Model Nirmalasari, Ririn; Suryanto, Agus; Anam, Syaiful
The Journal of Experimental Life Science Vol. 10 No. 1 (2020)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1048.636 KB) | DOI: 10.21776/ub.jels.2019.010.01.06

Abstract

The Artificial Bee Colony (ABC) is one of the stochastic algorithms that can be applied to solve many real-world optimization problems. In this paper, The ABC algorithm was used to estimate the parameter of the epidemic influenza model. This model consists of a differential system represented by variations of Susceptible (S), Exposed (E), Recovered (R), and Infected (I). The ABC processes explore the minimum value of the mean square error function in the current iteration to estimate the unknown parameters of the model. Estimating parameters were made using participation data containing influenza disease in Australia, 2017. The best parameter chosen from the ABC process matched the dynamical behavior of the influenza epidemic field data used. Graphical analysis was used to validate the model. The result shows that the ABC algorithm is efficient for estimating the parameter of the epidemic influenza model. Keywords: ABC, Epidemic, Estimate, Influenza, Parameter.
Peran Human Capital Dalam Mendorong Kemandirian Desa: Kasus Di Desa Padelegan, Kecamatan Pademawu, Kabupaten Pamekasan Hasbullah, Hasbullah; Aristin, Rini; Kasanova, Ria; Anam, Syaiful; Taufik, Achmad
J-CEKI : Jurnal Cendekia Ilmiah Vol. 3 No. 6: Oktober 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v3i6.5038

Abstract

Penelitian ini mengkaji peran human capital dalam mendorong kemandirian Desa Padelegan, Kecamatan Pademawu, Kabupaten Pamekasan. Human capital, meliputi pendidikan, keterampilan, dan pengalaman masyarakat, dianggap sebagai faktor kunci dalam pembangunan pedesaan. Studi ini menggunakan pendekatan kualitatif dengan metode wawancara, observasi, dan dokumentasi untuk mengumpulkan data dari berbagai sumber di desa tersebut. Temuan penelitian menunjukkan bahwa pengembangan human capital secara signifikan berkontribusi terhadap keberhasilan inisiatif pembangunan, seperti pengelolaan koperasi dan program pelatihan keterampilan. Profil human capital yang ada di Desa Padelegan, yang meliputi tingkat pendidikan dan keterampilan yang bervariasi, memberikan landasan yang kuat bagi pembangunan lebih lanjut. Meskipun demikian, tantangan terkait akses pendidikan dan pelatihan lanjutan masih perlu diatasi untuk memaksimalkan potensi yang ada. Penelitian ini menyarankan agar kebijakan desa fokus pada peningkatan investasi dalam pendidikan dan pelatihan yang relevan, serta membangun infrastruktur yang mendukung pengembangan keterampilan. Temuan ini memberikan wawasan penting bagi pengembangan kebijakan dan strategi pembangunan desa yang lebih efektif, sambil mengidentifikasi keterbatasan yang perlu diperhatikan dalam penelitian mendatang
Hybrid VGG16–LSTM Classification of Microscopic Bacterial Images for Environmental Microbiology Screening Yanti, Indah; Marjono, Marjono; Antariksa, Antariksa; Kurniawan, Andi; Anam, Syaiful; Bukhori, Hilmi Aziz
The Journal of Experimental Life Science Vol. 16 No. 2 (2026)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2026.016.02.02

Abstract

While conventional culture-based, biochemical, and molecular identification methods remain fundamental in microbiology, computational image analysis can serve as an exploratory, supplementary tool for studying bacterial morphology. This proof-of-concept study evaluates a hybrid VGG16-LSTM model for microscopic bacterial image classification. This study utilized a small subset of the DIBaS dataset consisting of six bacterial classes: Acinetobacter baumannii, Escherichia coli, Lactobacillus plantarum, Micrococcus spp., Propionibacterium acnes, and Pseudomonas aeruginosa. The total dataset size is highly constrained at 124 images, with a correspondingly small number of images per class ranging from 20 to 23. The dataset was divided into training, validation, and testing subsets in a 70:20:10 ratio. All microscopic images were resized to 224 × 224 pixels, normalized, and dynamically augmented during training to improve data variability under these limited-sample conditions. A pre-trained VGG16 network was employed to extract spatial image features, and the final convolutional feature map was reshaped into a spatial sequence and processed using an LSTM layer for further feature learning. Three optimization algorithms, namely Adam, RMSprop, and stochastic gradient descent, were compared. Among them, the RMSprop-optimized model exhibited the highest metrics after 50 epochs, achieving 92.86% accuracy, 95.24% precision, 92.86% recall, and a 92.38% F1-score; however, these performance indicators must be interpreted with caution as they are based on a severely limited test set (approximately 12 images). Some misclassifications occurred between P. aeruginosa and E. coli, which may be attributed to their shared gram-negative rod-shaped morphology. This finding highlights the inherent biological challenge of distinguishing visually similar bacterial species from microscopic image analysis alone, underscoring that such models remain strictly experimental and are not suited for clinical-grade diagnosis or field-ready environmental screening.
Co-Authors A.Mirza Fauzan Gazali, A.Mirza Fauzan Abd. Aziz Abdul Bari Abdul Rouf Alghofari Achmad Noor Fatirul Achmad Taufik Adella Novita Aeri Rachmad Agus Suryanto Ahmad Afif Supianto Ahmad Mubarak Munir Aji, Kurniawan Akhmad Khumaidi Akhodiyah, Sulistina Alfian Hidayat Alifiobono, Adeva Amar, Siti Salama Anam, Afdolul Andi Kurniawan Andreas Andriani , Fitri ani ani Antariksa Sudikno Ardiyansa, Safrizal Ardana Aris Munandar Asyidiqi, Hasbi Asyrofa Rahmi, Asyrofa Ayu Dwi Lestari, Cynthia Ayudaning D , Pamungkas Aziz Bukhori, Hilmi Baehaqi Bukhori, Hilmi Aziz Bustamin, Syamsumar Choa, Yeshua Austin Harvey Deny Tisna Amijaya, Fidia Devita Sari, Nindy Dian Eka Ratnawati Dian Sisinggih Dian Sisingih, Dian Dwi Mifta Mahanani, Dwi Mifta Edi Satriyanto Fahrul Riza Fajri, Haidar Ahmad Fauzi, Rahman Ali Feby Indriana Yusuf Feny Rita Fiantika Fery Widhiatmoko Fisnia Pratami Fitriah, Zuraidah Guci, Abdi Negara Gustiningsih Hapsani, Anggi Habibi, Nur Syakherul Hadi Wijoyo, Satrio Hady Rasikhun Hamdani, Ibnu Mansyur Hamiduddin, Hamiduddin Hanayanti, Citra Siwi Handayani, Nilam Hasbullah Hasbullah Hdayat, Alfian Helen Yuliana Angmalisang Husni , Valencia Ikhwanudin, Tedy Ilyas, Muhaimin Imam Nurhadi Purwanto Indah Yanti Irma Noervadila Isnani Darti Judijanto, Loso Julianto, Eric Karjaya, Lalu Puttrawandi Karsim, Karsim Kasanova, Ria Kasyful Amron Khafid Ismail Khairurrizki, Khairurrizki Khozaimi, Ach. Kurniadi, Harso Kusumawinahyu, Wuryansari M Kusumo, R. Budiarianto Suryo Lailatul Jannah, Noor Lestari, Baiq Ulfa Septi Lestari, Cynthia Ayu Dwi Lestari, Silvya Anggun Lina, Roidah Maharani, Natasha Clarissa Maharani, Natasha Clarrisa mahmudy, wayan f Mala Mardialina Mar'atun, Chairanil Marjono Marjono Marsum Marsum Maulana, Avin Maulana, M. Idam Maulana, Zacki Ibnu Miftahus Surur, Miftahus Mila Kurniawaty Muhammad Rivai Muharini Kusumawinahyu, Wuryansari Muhtashor, Imam Muzaky, Ahmad Nagib, Rima Abdul Mujib Nahdhiyah, Ulfatun Nalasari , Lista Tri Nanang Rifa'i, Muhamad Ni Wayan Surya Wardhani Nirmalasari, Ririn Nono Hery Yoenanto Noor Hidayat, Noor NUR HAMID Nur Shofianah Nurdiana, Titin Pardede, Hilman Ferdinandus Prasetyo, Onky Puspito, Bayu Putra, M. Rafael Andika R. Suhaimi Rahmawati Rifa'i, Dhila Silvia Rahmawati, Reny Rosalina Ramdani, Ahmad Ratri, Dian Kusumaning Rifa'i, Muhamad Nanang Rifa’i , Muhamad Nanang Rini Aristin, Rini RINI RINI Rizki, Kurnia Zulhandayani robbaniyah, qiyadah Ronaldo, Reza Rosi, Muhammad Fathur Rosid, Muchamad Rosulana, Ahmad Rudiyanto, Mohammad Sabilla, Kinanti Rizsa Safitri, Anisa Dewi Saiful Bukhori Saputri, Levia Sari, Meylita Sa’adah, Umu Shofianah, Nur Siska Siska Sofia Mendez Suhaimi Suhaimi Sukma Umbara Tirta Firdaus, Sukma Umbara Tirta Sundari Sundari Suryani Suryani Syaiful . Syarifatul Azaliyah, Syarifatul Trisilowati Trisilowati, Trisilowati Tuloli, Mohamad Handri Tuminem, Hannan Azka Umbara, Sukma Utomo, M. Chandra Cahyo Utomo, Yudo Bismo Uyun, Nazdrotul Very Dermawan Vicky Zilvan, Vicky Wahada, Listiatul Wayan Firdaus Mahmudy Widiyanto Widiyanto Widyantoro, Didik Wijaya, Komang Agus Arta Wuryasari Muharini Kusumawinahyu Yuli Kartika Dewi Yunanto, Fredy Zabadi, Fairus Zulkarnain Zulkarnain