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All Journal Techno.Com: Jurnal Teknologi Informasi DE JURE Jurnal Pengabdian UntukMu NegeRI JURIS (Jurnal Ilmiah Syariah) JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Al-Istinbath: Jurnal Hukum Islam Jurnal Kegiatan Pengabdian Mahasiswa (JKPM)
Fatma, Yulia
Unknown Affiliation
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Islam and Medicine: A Study on The Fatwa of Indonesian Ulama Council on Vaccines Muslimin, JM.; Iskandar, Rizky Fauzi; Fatma, Yulia
AL-ISTINBATH : Jurnal Hukum Islam Vol 6 No 1 May (2021)
Publisher : Institut Agama Islam Negeri Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.918 KB) | DOI: 10.29240/jhi.v6i1.2496

Abstract

The principles of Islamic jurisprudence can provide a convenient solution for practitioners of Islamic law in formulating the law of this rapidly expanding vaccine field for now and the future. This study aims to obtain the rationale of fiqhiyyah principles used by Indonesia Ulama Council (Majelis Ulama Indonesia, MUI) related to contemporary medical and health sciences, especially vaccines.. This research is a qualitative library research with primary source the fatwa of  Indonesian Ulama Council.. The data and document are reviewed through content analysis techniques using descriptive-analytical and interpretative methods. The approach in this study uses the Principles of Islamic Jurisprudence (usul al-fiqh) and Islamic legal maxims (qawa'id fiqhiyyah) approach. . The conclusion of the study is the permissibility and prohibition of using vaccines are based on the ingredient of the vaccines. If the ingredient is extracted from allowed materials (halal), the vaccines are accepted. On the contrary, if it is contaminated by illegal materials, the vaccines are rejected. However, in the urgent situations, all vaccines can be accepted based on the logics of emergency and need.
Klasifikasi Algoritma Kriptografi pada Pesan Terenkripsi menggunakan Support Vector Machine (SVM) Fatma, Yulia; Gunawan, Rahmad; Fitri, Nurkhairi; Firdaus, Rahmad; Hayami, Regiolina; Soni, Soni
JURNAL FASILKOM Vol. 15 No. 3 (2025): 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.v15i3.10843

Abstract

Data protection has become a highly critical aspect, particularly in addressing ransomware threats that illegally encrypt data. This study is important to evaluate the capability of machine learning techniques in identifying encryption algorithms used in encrypted data, especially in ransomware attacks. This work represents an initial step that can assist cybersecurity practitioners in more rapidly understanding attack patterns, determining appropriate response strategies, and enhancing proactive mitigation and response efforts to protect data against increasingly complex cyber threats. The machine learning algorithm employed in this study is the Support Vector Machine (SVM). The dataset consists of ciphertext generated using the AES, DES, and Vigenère Cipher cryptographic algorithms. The feature extraction process utilizes ten statistical features to capture the distinctive patterns of each type of ciphertext. The SVM model is developed using a data split of 90% for training and 10% for testing. Performance evaluation is conducted using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The result demonstrate an average accuracy 0f 92,33%, with the vigenere cipher being perfectly classified (100% accuracy). Howefer, slight misclassifications occured beetween AES and DES duet o their similiar entropy chraracteristic. Experimental results demonstrate that the SVM model is capable of identifying encryption algorithms with high accuracy and balanced classification performance across the three algorithm classes. These findings highlight the potential of machine learning approaches for detecting encryption algorithms in cyber-attacks, thereby making a meaningful contribution to the improvement of proactive data security mitigation and response strategies.
Efektivitas Sosialisasi Narkotika, Psikotropika, dan Zat Adiktif (NAPZA) dalam Meningkatkan Pengetahuan dan Kesadaran Siswa SMP Negeri 05 Sungai Apit Anugerah Putra, Bayu; Soni, Soni; Gunawan, Rahmad; Fatma, Yulia; Firdaus, Rahmad; Taufiq, Reny Medikawati; Handayani, Fitri; Mukhtar, Harun; Mualfah, Desti; Azim, Fauzan; Aprilya, Regiesta Lintang; Ramadhan, Rafi Fakhri; Abadi, Abdi Nauli
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 2 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i2.11302

Abstract

The abuse of narcotics, psychotropic drugs, and addictive substances (NAPZA) is a major problem that threatens the future of adolescents, especially junior high school students. Many students do not fully understand the dangers of NAPZA, making them vulnerable to the influence of their surroundings. Therefore, this study was conducted to determine the extent to which NAPZA awareness activities have succeeded in increasing the knowledge and awareness of students at SMP Negeri 05 Sungai Apit regarding the dangers of drug abuse. This study used a qualitative descriptive method with a field study approach. Data were obtained through material presentations and questions given to students after the socialization was conducted. The results showed an increase in students' knowledge about the types of NAPZA, their negative effects, and ways to prevent their abuse. Students were also better able to recognize the factors that could trigger abuse and showed a refusal to try NAPZA. The conclusion of this study states that NAPZA socialization is effective in increasing knowledge and forming a preventive attitude among students at SMP Negeri 05 Sungai Apit. Therefore, activities such as this need to be carried out regularly and continuously to create a healthy, safe, and NAPZA-free school environment.
Co-Authors Abadi, Abdi Nauli Agusriadi, - Al Amien, Januar Ananda, Putri Aprilya, Regiesta Lintang Aqilah Syaima' Fadel Arif Fernandes, Yoggy Bayu Anugerah Putra Evans Fuad Fauzan Azim Fitri Handayani Fitri, Nurkhairi Galih Anggoro, Hendar Gunawan, Rahmad Harun Mukhtar Hayami, Regiolina Heru Sandi, Ganesa Iskandar, Rizky Fauzi Jamilah, Zahratul Mikdad Amseno Mohamad, Mohd Saberi Mualfah, Desti Muslimin, JM. Nurlela Nurlela Rahmad Firdaus Rahmad Firdaus Ramadhan, Rafi Fakhri Remli, Muhammad Akmal Rianto David Saputra Risky Nanda Putra Rizki, Yoze Rosita Wati SLAMET MUJIONO, SLAMET Soni Soni Soni, Soni Taufiq, Reny Medikawati Widia Lestari