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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Teknosains: Media Informasi Sains dan Teknologi JOIV : International Journal on Informatics Visualization Jurnal Teknologi Pendidikan Madrasah JTIM : Jurnal Teknologi Informasi dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) International Journal of Health and Information System (IJHIS) Jurnal Imu Pendidikan dan Keagamaan
Tajuddin, Muhammad
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Medicine & Pharmacology Physics Public Health Social Sciences Other

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AYAT-AYAT SAINS DALAM AL-QUR’AN Tajuddin, Muhammad; Mildawati, Titi; Masrifah, Rofiah
Jurnal Teknologi Pendidikan Madrasah Vol 4 No 2 (2021): Jurnal Teknologi Pendidikan Madrasah
Publisher : IAI Al-Mawaddah Warrahmah Kolaka

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

Abstract

Modern science of science is a connecting way to understand the Kauniyah verses about nature, therefore an understanding is needed to explain the meaning contained in the Kauniyah verses. This interpretation of the Qur'an will continue to develop along with the progress of science and science, this is the miraculous side of the Qur'an compared to other books where books other than the Qur'an only apply to certain people while al-Qur'an The Qur'an will continue to apply to all people until the end of time. This paper aims to find out what the Qur'an wants to convey through its Kauniyah verses. With the many verses related to nature, modern science has played a role in helping to explain the verses of His kauniyah that with science the Qur'an will be easier to understand. Keywords: Science, al-Qur'an
Evaluasi Tingkat Kelayakan Sistem Informasi Akademik Perguruan Tinggi dengan Framework ISO/IEC 27001:2013 Anas, Andi Sofyan; Tajuddin, Muhammad; Adil, Ahmat; Hammad, Rifqi
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2024: SNESTIK IV
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2024.5859

Abstract

One university that has made use of information technology to provide high-quality services for students and the academic community as a whole is X University. Information Technology and Communication Center (PUSTIK), which is in charge of carrying out the creation, management, service, and upkeep of information and communication technology security, is in charge of overseeing this information technology service. Information security should be able to be maintained by effective IT governance. As a result, it's critical to assess information system security, particularly that of academic information systems. The ISO/IEC 27001:2013 standard is cited in Indeks Keamanan Informasi (KAMI), which is used in this information system security evaluation to assess the maturity level of information security. An assessment of five areas The Information Security Risk Management category receives the lowest score of 10 out of a possible 72 according to the KAMI Index. With a total score of 166, the KAMI Index dashboard results indicate that each area of information security maturity is at levels I and I+. This indicates that the ISO 27001:2013 standard's level of implementation completeness falls into the insufficient category.
Design Game Aksara Sasak Berbasis Mobile dan Gamifikasi untuk Pelestarian dan Pembelajaran Tajuddin, Muhammad; Anas, Andi Sofyan; Adil, Ahmat; Printi Ardi, R Fanny; Abidin, Zainal
Prosiding Sains Nasional dan Teknologi Vol 14, No 1 (2024): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 2024
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v14i1.12041

Abstract

Aksara Sasak Baluq Olas (delapan belas) adalah warisan budaya bernilai tinggi yang terkait erat dengan bahasa Sasak di pulau Lombok, Indonesia. Meskipun merupakan bagian integral dari identitas lokal, aksara ini menghadapi risiko pelestarian yang signifikan. Penelitian ini memperkenalkan sebuah aplikasi pembelajaran berbasis Android yang menggunakan prinsip gamifikasi dan metode M. Suyanto dalam pengembangannya untuk meningkatkan pemahaman dan pelestarian aksara Sasak Baluq Olas (delapan belas). Proses pengembangan aplikasi ini melalui tiga tahap: praproduksi, di mana analisis kebutuhan dan desain konten dilakukan; produksi, yang mencakup pembuatan modul interaktif tentang aksara carakan, pasangan, sandangan, aksara swara, aksara murdho, dan wilangan; serta pascaproduksi, yang melibatkan editing dan rendering berdasarkan umpan balik pengguna. Aplikasi ini menawarkan fitur yang memungkinkan pengguna untuk berlatih menulis dan menguji pemahaman melalui kuis. Keunikan dari aplikasi ini terletak pada penerapan gamifikasi untuk menarik minat generasi Z, dengan pengujian yang melibatkan berbagai peserta untuk mengukur efektivitasnya. Hasil pengujian menunjukkan bahwa gamifikasi secara signifikan meningkatkan pemahaman pengguna tentang aksara Sasak, mendorong mereka untuk berpikir kritis dan lebih terlibat dalam proses pembelajaran. Penelitian ini menyumbangkan perspektif baru pada literatur gamifikasi dalam konteks pelestarian budaya dan pembelajaran aksara tradisional.
Improved adaptive multi-threshold method for automatic identification of rhinosinusitis in paranasal sinus images Putra, Ondra Eka; Sumijan, Sumijan; Tajuddin, Muhammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp119-129

Abstract

Rhinosinusitis, characterized by inflammation of the mucosa or mucous membrane within the paranasal sinuses, anatomical cavities situated in the facial bones, is the focus of this investigation. This study employs computed tomography (CT)-scan images comprising sagittal slices of the paranasal sinuses, acquired through a CT device featuring a Philips Ingenuity CT model MRC880 tube type, identified by tube serial number 163889, with a pixel value resolution of 0.24 mm. The primary objective of this research is to automatically identify and delineate rhizosinusitis-affected areas. This involves the application of multi-threshold values during the segmentation process, utilizing the improved adaptive multi-threshold (IAMT) segmentation method. The research dataset encompasses 380 slices of CTscans derived from 10 patients displaying indications of rhinosinusitis. Analysis of the test results reveals that the smallest observed rhinosinusitis size in this study is 0.05 cm2 on the right side, while the largest size measures 1.81 cm2 , yielding an accuracy rate of 96.66%. The magnitude of rhinosinusitis sizes serves as an indicative measure of the extent of inflammation within the paranasal sinus region, thereby suggesting a potential need for more intensive treatment interventions for the affected patients.
Klasifikasi Aksara Sasak Menggunakan Convolutional Neural Networks (CNN) Alfariza, Elga; Tue, Dicksa Ananda Christian; Anas, Andi Sofyan; Tajuddin, Muhammad; Adil, Ahmat
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 3 (2024): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.623

Abstract

Sasak script is an important cultural heritage for the people of Lombok, but its use is decreasing along with the development of digital technology. This study aims to develop a classification system for Sasak script handwriting using Convolutional Neural Networks (CNN) to improve the accuracy of character recognition. The dataset used consists of handwritten images of 18 basic Sasak script characters collected from 50 volunteers with various writing styles. The methods applied include data preprocessing, augmentation, and training a CNN model with an architecture consisting of several convolutional and pooling layers. The results showed that the model achieved a validation accuracy of 92%, an average precision of 0.91, a recall of 0.89, and an F1-score of 0.90, indicating excellent performance in recognizing Sasak script characters. The conclusion of this study is that the developed system is not only effective in character recognition, but can also function as an interactive learning tool, supporting efforts to preserve Sasak script in the digital era. This research opens up opportunities for further development in the introduction of other traditional scripts.
Enhanced U-Net Architecture for Glottis Segmentation with VGG-16 Aldi, Febri; Yuhandri, Yuhandri; Tajuddin, Muhammad
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3088

Abstract

Laryngeal endoscopic image analysis with segmentation techniques has great potential in detecting various diseases in the glottic area, which is essential for early diagnosis and proper treatment. This study proposes developing the U-Net architecture by integrating the VGG-16 model, aiming to improve the accuracy in detecting glottic areas. VGG-16 is applied to the encoder and bridge sections so that the model can take advantage of previously learned knowledge. This modification is expected to improve segmentation performance compared to standard U-Net, especially in handling variations in laryngeal image complexity. The dataset used consisted of 1,200 images taken randomly from the BAGLS website, a collection of laryngeal endoscopic image data rich in variation. The training results show that the standard U-Net produces an accuracy of 0.9995, IoU 0.6744, and DSC 0.7814. The improved U-Net showed a significant performance improvement, with an accuracy of 0.9998, an IoU of 0.8223, and a DSC of 0.9153. This improvement confirms that modifying the U-Net architecture using VGG-16 provides superior results in detecting glottic areas precisely. VGG-16 also helps model performance in overcoming the problem of smaller datasets. In addition, both models were tested using relevant evaluation metrics, and the test results showed that the improved U-Net consistently outperformed other CNN-based segmentation methods. These advantages show that the proposed approach improves accuracy and contributes significantly to developing glottic disease detection methods through laryngeal endoscopic image analysis, which can ultimately support clinical practice in detecting abnormalities in glottis more effectively.
Optimizing the gallstone detection process with feature selection statistical analysis algorithm Yanto, Musli; Yuhandri, Yuhandri; Tajuddin, Muhammad; Septiana, Vina Tri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1183-1191

Abstract

Early detection is one form of early anticipation in treating gallstone disease patients using medical images. However, the problem that exists is that there are still many shortcomings in medical images, such as noise in the image that causes the detection process to not run optimally. Based on this, this study aims to carry out the process of detecting gallstone objects in magnetic resonance cholangiopancreatography (MRCP) images by optimizing the performance of extraction techniques for feature selection. Optimization of extraction techniques in feature selection is carried out using the performance of the feature selection statistics analysis (FSSA) algorithm. The performance of the FSSA algorithm can provide improvements in the feature selection process by excelling in the performance of classification methods such as k-nearest neighbor (KNN), support vector machine (SVM), and artificial neural network (ANN), and the Pearson correlation (PC) method. Based on the tests that have been carried out, the performance of the FSSA algorithm in the detection process provides an accuracy level of 95.69%, a sensitivity of 89.65%, and a specificity of 98.43%. Overall, this study can contribute to the development of extraction and provide a significant technical impact on optimizing the gallstone detection process.
MANAJEMEN SEKOLAH UNTUK MENCAPAI SEKOLAH UNGGUL YANG MENYENANGKAN: STUDI KASUS DI TKQ BANI AHMAD, JAKARTA UTARA Ali Muchtar, Azmy; Nadiroh, Nurlaila; Aziz, Abdul; Nursalimah, Putri; Tajuddin, Muhammad
Ilma Jurnal Pendidikan Islam Vol. 3 No. 1 (2024): JURNAL ILMA
Publisher : Fakultas Agama Islam Universitas Islam Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58569/ilma.v3i1.1063

Abstract

Penelitian ini bertujuan untuk mengetahui penyelenggaraan sekolah yang menyenangkan di TKQ BANI Ahmad. Metode penelitian menggunakan metode kualitatif deskriptif dengan pendekatan studi kasus. Teknik pengumpulan data melalui observasi langsung, dokumentasi, dan wawancara mendalam. Sumber data diperoleh dari kepala sekolah dan guru. Validitas data menggunakan teknik triangulasi, dan analisis data menggunakan analisis interaktif melalui langkah-langkah pengumpulan data, reduksi data, sajian data, dan verifikasi atau penarikan kesimpulan. Hasil penelitian menunjukkan bahwa TKQ BANI Ahmad merupakan sekolah yang menyenangkan baik dari segi kepemimpinan kepala sekolah, dukungan pendidik dan tenaga kependidikan, kegiatan pembelajaran, lingkungan sekolah, sarana dan prasarana. Kajian ini menyimpulkan bahwa kepemimpinan kepala sekolah merupakan indikator yang paling utama dalam mewujudkan sekolah unggul yang menyenangkan.
Glaucoma Detection Based on Texture Feature of Neuro Retinal Rim Area in Retinal Fundus Image Nugraha, Gibran Satya; Juliansyah, Akbar; Tajuddin, Muhammad
International Journal of Health and Information System Vol. 1 No. 3 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i3.21

Abstract

One method for detecting glaucoma is by comparing ratios in the area of neuroretinal rim. Comparing area ratios in the neuroretinal rim is difficult for ophthalmologists since it requires high accuracy and is highly dependent on the patient's retinal condition. In this study, we sought to perform neuro retinal rim feature extraction based on histogram and gray level co-occurrence matrix (GLCM) of normal retinal images and glaucoma, automatically distinguish between normal eyes and eyes with glaucoma, and evaluate the method's validity using the measures of accuracy, sensitivity, and specificity We adopted a machine learning approach in conducting automatic feature extraction of the retinal rim through three main stages: 1) image acquisition, 2) pre-processing, and 3) classification. We used a dataset from RIM-ONE for normal eyes images and DRISTHI-GS for glaucoma images.Classification was carried out on 154 images (80 images for glaucoma images and 74 images for normal images). Regarding true positive, false negative, false positive, and true negative, we examined the sensitivity, specificity, and accuracy of automatic extraction and classification. The highest findings are 96.10%, 98.75%, and 93.24%, respectively. This study showed that automatic texture features and classification are possible, accurate and important in detecting glaucoma.
Pendampingan Dan Pelatihan Desain Grafis SMK Islam Terpadu Darul Mujahidin Lombok Tengah Adil, Ahmat; Tajuddin, Muhammad; Pribadi, Agus; Triwijoyo, Bambang Krismono; Anas, Andi Sofyan; Santoso, Heroe
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi April - Juni
Publisher : Lembaga Dongan Dosen

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Abstract

Kegiatan pendampingan dan pelatihan desain grafis ini bertujuan untuk meningkatkan keterampilan siswa SMK Islam Terpadu Darul Mujahidin Lombok Tengah dalam bidang desain grafis, khususnya pada pembuatan produk percetakan seperti brosur, kartu nama, pamflet, dan kemasan produk. Pelatihan dilaksanakan sebagai bentuk penguatan kompetensi keahlian dan kesiapan siswa menghadapi dunia industri kreatif yang semakin berkembang pesat. Peserta mendapatkan manfaat dari pelatihan ini yaitu memperoleh pengetahuan dan keterampilan praktis di bidang desain grafis, khususnya dalam pembuatan produk percetakan seperti brosur, pamflet, kartu nama, dan siswa dapat menyalurkan ide dan kreativitasnya secara visual, serta belajar menyusun desain yang komunikatif dan menarik. Metode pelatihan meliputi pemberian materi dasar desain grafis, pengenalan software desain seperti Canva dan CorelDRAW, serta praktik langsung pembuatan desain cetak. Kegiatan dilakukan secara bertahap, mulai dari teori dasar desain (elemen & prinsip), tipografi, warna, hingga proses produksi desain siap cetak. Selain itu, diberikan pula sesi konsultasi dan evaluasi karya untuk mengasah kreativitas dan kerapian teknis. Hasil pelatihan menunjukkan bahwa peserta mengalami peningkatan pemahaman dan keterampilan teknis dalam membuat desain grafis yang sesuai standar industri percetakan. Pelatihan ini diharapkan mampu menjadi bekal awal bagi siswa dalam mengembangkan kemampuan desainnya secara mandiri dan profesional, serta membuka peluang usaha mandiri di bidang percetakan.
Co-Authors Abdul Aziz Abdul Muhid, Abdul Agus Pribadi, Agus ahmad yani Ahmat Adil Akbar Juliansyah Aksa Aksa, Aksa Aldi, Febri Alfariza, Elga Andi Sofyan Anas Fathin, Alfidhah Hammad, Rifqi Hildayanti, Andi I Made Yadi Dharma Machrizzandi, M Sya’rani Masrifah, Rofiah Mildawati, Titi Muchtar, Azmy Ali Nadiroh, Nurlaila Nursalimah, Putri Printi Ardi, R Fanny Putra, Ondra Eka Santoso, Heroe Septiana, Vina Tri Setiawan, Adil Sonang, Sahat Sumijan Sumijan Triwijoyo, Bambang Krismono Tue, Dicksa Ananda Christian Yanto, Musli Yuhandri Yuhandri, Yuhandri Yuhandri, Y Zainal Abidin