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All Journal JIA (Jurnal Ilmu Agama) Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Computer Networks, Architecture and High Performance Computing Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Pengabdian Masyarakat Dharma Andalas
Hafizh, M.
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Sosialisasi Penentuan Guru Terbaik pada SMPN 17 Padang dengan Metode MOORA Guswandi, Dodi; Hafizh, M.; Novita, Triana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 2 No 2 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v2i2.1236

Abstract

The determination of the best or outstanding teachers in the school has not been done objectively or in other words, the selection of the best teachers is still carried out in a subjective way where validation in determining the openness is not known. So to overcome this problem, the author proposes to apply the calculation of the Decision Support System (DSS) in solving the problem. The method used in Community Service (PKM) is the MOORA method and uses the criteria weighting method with Centroid Rank Order. The design of this DSS system is implemented in applications using the JAVA programming language so that management can easily use it. Using this Decision Support System can make it easier for the Principal of SMPN 17 Padang to determine the best teacher with the aim of rewarding or appointing even better positions to the best teachers.
Sosialisasi Promosi Wisata Alam Green View Danau Singkarak pada Media Sosial Guswandi, Dodi; Hafizh, M.; Novita, Triana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 3 No 1 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v3i1.1562

Abstract

Green View Lake Singkarak is one of the tourist attractions located in Solok regency, West Sumatra with a breathtaking and interesting view with view of the mountains and Lake Singkarak that stretches widely, the number of tourists who visit this place is still small due to the lack of information spread on social media (Sosmed) such as Youtube, Instagram, Facebook, and Tiktok. So far, the dissemination of information about the beauty of this tourist attraction has only come from tourists who have visited this place. This community service was carried out by the Lecturer Team of Universitas Putra Indonesia YPTK Padang to increase the number of visitors to this tourist attraction so that people with a sales business and lodging around Green View Lake Singkarak can increase their income. After conducting socialization and training for the community who participate as participants in this service, they can use social media well by making content videos and other information about the natural beauty of Green View Lake Singkarak.
Reaktualisasi Kritik KH. Misbah Musthofa dalam Tafsir Taj al-Muslimin Min Kalami Rabbil ‘Alamin terhadap Kurikulum Pendidikan di Era Orde Baru Annisa, Ayu; Rusli, Ris'an; Edi Z, M. Khai Hanif Yuli; Hafizh, M.
JIA (Jurnal Ilmu Agama) Vol 24 No 2 (2023): Jurnal Ilmu Agama : Mengkaji Doktrin, Pemikiran, dan Fenomena Agama
Publisher : Fakultas Ushuluddin dan Pemikiran Islam Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jia.v24i2.19011

Abstract

This research aims to analyze the social critique of K.H. Misbah Musthofa regarding the education curriculum during the New Order era, particularly within the context of interpreting QS. al-Baqarah [2]: 29. In this study, we delve into his perspective in detail through a content analysis approach. The data utilized is sourced from various educational and Quranic interpretation-related literature. The analysis highlights the arguments put forth by K.H. Misbah Musthofa in his critique. One crucial point emphasized is the necessity of integrating moral and spiritual values into the educational system, as well as the importance of holistic individual development. He also issues a warning about the significance of not just following contemporary trends to avoid falling behind the Western world but also preserving and perpetuating traditional values. The outcomes of this research make a significant contribution to deepening our understanding of education from an Islamic perspective. The reevaluation of KH. Misbah Musthofa's critique can serve as a foundation for formulating a more comprehensive educational approach oriented towards developing the education system, with the hope that it will contribute to building a better society.
Klasterisasi Rumah Sakit berdasarkan Kunjungan Pasien menggunakan Algoritma K-Means: Data 2019-2023 Mayola, Liga; Hafizh, M.; Syahputra, Hadi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1703

Abstract

Hospitals play a vital role in providing healthcare services to the community. Every day, patients visit hospitals to receive medical care. Over time, patient visit data continues to grow, resulting in a massive accumulation of data. This large volume of patient visit data can be clustered using data mining algorithms, providing strategic insights for resource management, facility planning, and improving the quality of healthcare services. The purpose of this study is to classify hospitals based on the number of patient visits over the past five years. The clustering process was conducted using the K-Means Clustering Algorithm. The research data was obtained from the Satu Data Sumbar website. Hospital patient visit data was grouped into three clusters. The results indicate that Cluster 1 (K1) represents hospitals with very high visit intensity, Cluster 2 (K2) represents hospitals with medium visit levels, and Cluster 3 (K3) represents hospitals with low visit levels. Keywords:
Comparative Analysis of YOLOv11 with Previous YOLO in the Detection of Human Bone Fractures Aldi, Febri; Nozomi, Irohito; Hafizh, M.; Novita, Triana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6051

Abstract

Accurate and rapid detection of bone fractures is an important challenge in the medical world, particularly in the field of radiology. This study aims to analyze and compare the performance of the YOLOv11 model with several previous versions of YOLO, namely YOLOv5, YOLOv8, and YOLOv10 in the task of detecting human bone fractures on X-ray and MRI images. The dataset used is the Human Bone Fractures Multi-modal Image Dataset (HBFMID) which consists of 641 raw images (510 X-rays and 131 MRIs). The four models were trained using the HBFMID dataset that had gone through a manual augmentation and annotation process, then tested using evaluation metrics such as precision, recall, mAP50, and mAP50-95. The training results showed that YOLOv11 has the most stable and consistent loss curve, with a fast convergence process. In terms of evaluation, YOLOv11 recorded a precision of 99.87%, a recall of 100%, a 99.49% mAP50, and an 84.13% increase in the number of mAP-95s, which generally outperformed other models. In addition, the visual prediction results show that YOLOv11 can detect fracture areas with the right bounding box and a balanced confidence score, without showing symptoms of overconfidence or inconsistency. When compared to approaches from previous studies, YOLOv11 also showed a significant improvement in detection accuracy. Thus, YOLOv11 is rated as the most optimal and reliable model in deep learning-based automatic bone fracture detection. This model has great potential to be applied in medical diagnosis support systems to improve the efficiency and accuracy of digital fracture identification.
Komparasi Metode Waspas Dan Metode Vikor Dalam Menentukan Mobil LCGC Terbaik Guswandi, Dodi; Wiyandra, Yogi; Wahyuni, Suci; Syahputra, Hadi; Hafizh, M.
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 4 No 2 (2025): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v4i2.2146

Abstract

Penelitian ini bertujuan untuk membandingkan kinerja metode Weighted Aggregated Sum Product Assessment (WASPAS) dan metode VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) dalam menentukan mobil Low Cost Green Car (LCGC) terbaik. Studi kasus dilakukan pada showroom mobil di Kota Padang dengan mempertimbangkan delapan kriteria penilaian, yaitu harga OTR, kapasitas mesin, konsumsi bahan bakar,tenaga max, torsi max, desain eksterior, desain interior dan akselarasi. Metode WASPAS digunakan untuk memperoleh peringkat kendaraan melalui kombinasi model penjumlahan dan perkalian terbobot, sedangkan metode VIKOR difokuskan pada kompromi solusi berdasarkan jarak terhadap alternatif ideal positif dan negatif. Pengujian akurasi dilakukan dengan menggunakan korelasi Rank Spearman untuk mengukur tingkat kesesuaian hasil peringkat masing-masing metode dengan preferensi konsumen aktual. Hasil penelitian menunjukkan bahwa metode VIKOR memiliki tingkat akurasi yang lebih tinggi dibandingkan metode WASPAS, dengan nilai koefisien korelasi Rank Spearman sebesar 0,9761 yang termasuk kategori sangat kuat. Temuan ini mengindikasikan bahwa metode VIKOR lebih efektif digunakan dalam sistem pendukung keputusan untuk pemilihan mobil LCGC yang sesuai dengan kebutuhan konsumen di showroom Kota Padang.
Co-Authors Aldi, Febri Annisa, Ayu Dodi Guswandi Edi Z, M. Khai Hanif Yuli Hadi Syahputra Liga Mayola Novita, Triana nozomi, irohito Rusli, Ris'an Suci Wahyuni Wiyandra, Yogi