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Abdul Halim Anshor
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pemodelan Deteksi dan Klasifikasi Fraktur Tulang pada Radiografi X-Ray Menggunakan YOLOv8 dan Preprocessing CLAHE Hidayat, Jose Julian; Anshor, Abdul Halim; Anwar, M. Syaibani
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11241

Abstract

This study aims to develop a model for detecting and classifying bone fractures in digital X-ray radiography images using the You Only Look Once version 8 (YOLOv8) architecture with the application of Contrast Limited Adaptive Histogram Equalization (CLAHE) as a preprocessing method. The CLAHE method is used to improve contrast quality and clarify bone structure details, thereby facilitating the feature extraction process by the detection model. The research dataset comprises 641 X-ray and MRI images divided into ten classes consisting of various types of bone fractures, namely Comminuted, Greenstick, Linear, Oblique, Oblique Displaced, Segmental, Spiral, Transverse, and Transverse Displaced, as well as the Healthy class as a comparison. Model training was conducted for 100 epochs using YOLOv8n with CLAHE-based augmentation to improve the visibility of the fracture area. The best results were obtained from the YOLOv8-CLAHE (balanced) model with a mAP@0.5 of 0.933 to 0.941, precision of 0.939 to 0.965, and recall of 0.877 to 0.901. The Segmental and Comminuted classes showed the highest performance, while classes with limited data such as Greenstick and Linear still had relatively low accuracy.  The model's inference speed reached 8.3 milliseconds per image, demonstrating the potential application of this system for real-time fracture detection in clinical settings. The results of this study show that the application of the CLAHE method in the image pre-processing stage can improve the detection and classification performance of YOLOv8, and has the potential to support the development of automated diagnosis systems in the field of orthopedic radiology.
Aplikasi Absensi Non ASN Berbasis Web Wilianto, Wilianto; Muhidin, Asep; Anshor, Abdul Halim
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4631

Abstract

Presence is crucial in a government institution. With an effective attendance system, it is hoped that it can assist in controlling the task completion process. The Attendance Recording System used in the Public Section applies fingerprint technology. Fingerprint is one of the information technology innovations that makes it easier to record employee activities every day. At this time employees do not take attendance using a fingerprint machine and return to using a manual system. The system is done manually, namely by signing the attendance book that has been provided by the staffing department. The purpose of developing this application is to facilitate, and speed up, employees in taking attendance and managing attendance outside the office. The method used in developing web-based non-ASN attendance applications is the waterfall model. as a structured software approach, starting from the stages of analysis, design, coding, testing, to the support stage. The PHP programming language, Laravel Framework and Database Management System (DBMS) use MySQL. The result of this research is the development of a web-based non-asn attendance application for non-asn employees in the general section of the regional secretariat of Bekasi district
Penerapan Metode K-Means Clustering untuk Pengelompokan Data Persediaan Barang pada PT. X Deny Rahmatullah; Ananto Tri Sasongko; Abdul Halim Anshor
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 1 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i1.1781

Abstract

Pengelolaan persediaan barang yang efektif membutuhkan pemahaman mendalam terhadap pola dan karakteristik stok. Penerapan data mining memungkinkan perusahaan melakukan analisis tersebut secara lebih objektif. Penelitian ini bertujuan untuk mengelompokkan data persediaan barang di PT. X menggunakan metode K-means clustering sebagai dasar identifikasi kategori barang berdasarkan kesamaan karakteristik stok. Data penelitian diperoleh dari dataset “Stock list E3” dan diolah melalui tahapan prapemrosesan, meliputi pembersihan data, penghapusan duplikasi, seleksi variabel, encoding label, serta normalisasi fitur numerik. Penentuan jumlah klaster optimal dilakukan menggunakan metode Elbow dan Silhouette Score. Hasil analisis menunjukkan bahwa nilai Silhouette Score tertinggi diperoleh pada k = 4 dengan nilai 0.985, yang mengindikasikan kualitas pengelompokan yang sangat baik. Klaster yang terbentuk merepresentasikan tiga kategori utama, yaitu normal item, bulk stock dan critical part, berdasarkan kombinasi nilai stok, harga standar, dan ketersediaan barang. Temuan penelitian ini dapat dimanfaatkan perusahaan untuk meningkatkan efisiensi pengendalian persediaan, memprioritaskan pengadaan, serta mendukung pengambilan keputusan berbasis data dalam manajemen logistik.
Co-Authors Abdul Ghofar Abiyyu, Muhammad Dzaki Achmad, Ivan Faturrochman Adi Kurniawan Afriantoro, Irfan Agung Nugroho Aguswin, Ahmad ajizah, imah rotul Akromusyuhada, Akhmad Al Godzali, Galva Albedri, Muhammad Amali Amali Amartha, Alif Nur Fathlii Ananto Tri Sasongko Anas, Muhamad Abdul Anggara, Bastian Anggraeni , Tatia Deswita Ansyah, Ery Anwar, M. Syaibani Argiansah P, Rieval Arie Miftah Budiman Assidiki, Hasbi Aswan Supriyadi Sunge Athallah , Rafif Isdarufa Ayubi, Muhammad Din Al Badrul Munir, Badrul Bina, Sabina Oktaviani Hermilia Butsianto, Sufajar Clarita, Anggita Risqi Nur Danuyasa, Abiyanfaras Darmawan, Diki Dendy K. Pramudito Deny Rahmatullah Dita , Silvi Fara Dita, Silvi Fara Djawas, Fathia Wardah S. Dodit Ardiatma Edora Edora Edy Widodo Edy Widodo Erdi Erianto, Erick Erikasari, Vivie Zuliani Fadhillah, Faizah Via Fadillah, Muhammad Zidan Farrasanto, Akram Fatchan, Muhammad Fauzi Ahmad Muda Febri Tri Arie Sakti Ferdiansyah, Febby Fermana, Yudi Fernanda, Arif Fiqih Alfiansyah Zahari Fitri Rezeki Ghufron Malik Harits, Dalhats Abiyyu Idzal Hartati, Nani Hary Alfarizi Hasbiallah, Muhammad Herisaputra, Rizky Igel Hidayat, Jose Julian Huda, Miftakul Irawan, Teddy Kartini, Tri Mulyani Kholid Wahyudi Kinasih, Sekar Latifah Nurhasanah, Reka Hani Lubis, Birrham Efendi Maharani, Tyanshi Firli Maulana, Donny Maulana, Fariz Mawabagja, Dico Mega Fatimah Rosana Miftahul Huda Mochammad Imron Awalludin Moh. Restu Nur Rizki Muhamad Fatchan Muhamad Ridwan Muhammad Abdul Rahman Wahid muhidin, asep Mujizat, Hafidza Dafariz Mulqiya, Wafha Zahra Najamuddin Dwi Miharja, Muhammad Novianti, Annisa Dwi Novitasari, Aas Nugraha, Rhendy Diki Nugroho, Azwar Anas Agung Nugroho, Irvan Nuraini, Fadilah Nurcahyo, Danang Nurcholilah Nurcholilah Nurhadi Surojudin Nurhaliza, Zahra Oktavianti, Risma Nadia Perdana, Maulana Zidan Pertiwi Dwi Ningsih Prasetya, Ferdyana Eka Pratama, Hendri PUTRI, TIARA Raehan, Muhamad Rafi Suswidia Rafiandi, Junian Rahardjo , Sugeng Budi Rahardjo, Sugeng Budi Raharjo, sugeng budi Rahayu, Nia Dwi Rahma, Syifa Aurellia Rahman, Farjul Ramadhani, Faiz Dzaki Respiar, Boby Retno Purwani Setyaningrum Ridwan Ahri Rifqi, Ifan Aly Rismawati Rismawati Rismawati Sadewo, Riski Probo Safrudin , Nurkholik Safrudin, Nurkholik Saputra, Wisnu Ikhwansyah Sarikun, Ahmad Nurdien Shandy, Ery Sianturi, Feibert Sihombing, Johanes Mula Febrian Siska Wulandari, Siska Siswahyudianto Sugeng Budi Rahardjo Suherman Suherman Sulaeman, Asep Arwan Susilo, Hendrik Ardhi Syahrul Gunawan Taryadi Taryadi Tedi, Nanang TITIN SUNARYATI Tri Ngudi Wiyatno umah, Nadiatul Valerian, Kumara Davin Wahyu Hadikristanto Wangsadanureja, Miftah Wibowo, Mohamad Hegar Sukmana Wilianto Wilianto Windi Windi, Windi Wiyanto Wiyanto Yudanto , Faisal Arya Zakaria, Nur Fajar Zulaeha Zulaeha Zy, Ahmad Turmudi