UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Analisis Sistem Deteksi Citra untuk Optimalisasi Pengawasan Lalu Lintas Udara Menggunakan Algoritma YOLOv5
This study aims to develop an image detection system capable of identifying manned and unmanned aircraft objects to support air traffic surveillance. The increasing flight activity, both from commercial aircraft and drones, requires a more optimal surveillance system to connect the airspace efficiently. In this study, a Convolutional Neural Network (CNN) model utilizing the You Only Look Once version 5 (YOLOv5) method is employed to detect and classify objects in real-time from aircraft images. The methodology employed includes collecting aerial image data, labeling the data, and training object detection models using YOLOv5. The dataset used consists of 2,520 images of manned aircraft (warplanes) and 5,422 images of unmanned aircraft (drones). The experimental results demonstrate that the YOLOv5 model achieves high detection accuracy for both manned and unmanned aircraft, with a relatively fast inference time, thereby supporting the development of an effective air traffic surveillance system. This system is expected to be an integral part of a more sophisticated and responsive air traffic surveillance solution
Evaluasi Ancaman Baru Dalam Keamanan Informasi: Systematic Literature Review Tentang Kerentanan Cyber Security Pasca-Pandemi : Evaluating Emerging Threats In Information Security: A Systematic Literature Review On Post-Pandemic Cybersecurity Vulnerabilities
Pandemi COVID-19 telah mempercepat transformasi digital di berbagai sektor, yang disertai dengan peningkatan risiko dan ancaman keamanan siber. Penelitian ini menggunakan pendekatan Systematic Literature Review (SLR) untuk mengidentifikasi ancaman keamanan siber yang muncul selama pandemi serta strategi mitigasi yang telah diterapkan. Hasil penelitian menunjukkan bahwa serangan seperti phishing, malware, ransomware, dan serangan DDoS meningkat signifikan, dengan sektor kesehatan dan keuangan menjadi target utama. Selain itu, faktor manusia, seperti stres kerja jarak jauh dan kurangnya pelatihan keamanan, turut berkontribusi pada kerentanan sistem. Strategi mitigasi yang terbukti efektif mencakup implementasi autentikasi multi-faktor (MFA), enkripsi data, pelatihan kesadaran keamanan, dan pemantauan real-time. Namun, transformasi digital yang dilakukan secara terburu-buru tanpa perencanaan keamanan menjadi tantangan utama yang harus diatasi. Penelitian ini memberikan wawasan penting bagi organisasi untuk meningkatkan ketahanan siber melalui integrasi teknologi, kebijakan keamanan, dan pelatihan karyawan yang berkelanjutan. Implikasi dari penelitian ini diharapkan dapat membantu pengembangan strategi keamanan siber yang lebih tangguh untuk menghadapi tantangan di masa depan.
Kata kunci: keamanan siber, pandemi covid-19, ancaman siber, mitigasi, transformasi digital, pelatihan keamanan
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Abstract
The COVID-19 pandemic has accelerated digital transformation across various sectors, accompanied by increased risks and cybersecurity threats. This study aims to identify cybersecurity threats that emerged during the pandemic and evaluate the mitigation strategies that have been implemented, using a Systematic Literature Review (SLR) approach. The research identified 53 articles during the initial search phase. Subsequently, a preliminary analysis was conducted by reviewing the titles and abstracts to assess the relevance of the articles, narrowing the selection to 21 articles. At the final stage, an in-depth evaluation was performed to ensure the quality and relevance of the articles to the research focus, resulting in 12 articles being selected for the literature review. The findings reveal a significant increase in attacks such as phishing, malware, ransomware, and DDoS, with the healthcare and financial sectors being primary targets. Additionally, human factors, such as stress from remote work and a lack of security training, contributed to system vulnerabilities. Effective mitigation strategies included the implementation of multi-factor authentication (MFA), data encryption, security awareness training, and real-time monitoring. However, the rapid digital transformation carried out without proper security planning posed a major challenge that needs to be addressed. This research provides valuable insights for organizations to enhance cyber resilience through the integration of technology, security policies, and continuous employee training. The implications of this study are expected to aid in the development of more robust cybersecurity strategies to address future challenges.
Keywords: cybersecurity, covid-19 pandemic, cyber threats, mitigation, digital transformation, security training
MEMBENDUNG PERBEDAAN HARI RAYA IDUL FITRI 1444 H ANTARA BRIN DAN MUHAMMADIYAH: DALAM TINJAUAN AL-QUR’AN SEBAGAI KONSEP MODERASI BERAGAMA YANG HARMONI
The Al-Qur\u27an came to earth basically because it is rahmatan lil alamin and harmanization of life. The Islamic Ummah believes that it is an heirloom of the holy book which went down directly to the Prophet to be conveyed to the Muslim Ummah with the aim that the Ummah becomes peaceful and harmonious. However, if it is pulled back to the modern era it is inversely proportional to the general ideals expected. What happened was only social jealousy and prolonged conflict as happened in the "determination of Eid al-Fitr 1444 H", namely Muhammadiyah members were threatened by elements/thugs who did not have humanity. Therefore this manuscript is present as a center for analysis and discussion which aims to analyze the Koran as harmonization in the review of Religious Moderation. This research uses a qualitative approach based on case studies, the case in question is that there is a difference in the determination of Eid al-Fitr 1444 H to become a conflict in Indonesia. The research setting began in Indonesia, the researchers took samples in Bantul, Yogyakarta. The methods used are interviews, observation, and documentation. Data analysis uses data display, data reduction, and data verification. The results of the study stated that the waning of the Muslim community was related to harmonization, tolerance, and religious tolerance. The Islamic Ummah is fighting because it is driven by a sense of social jealousy. In this case the Al-Qur\u27an is present as a guide and guide for the progress of the Muslim community. With the note that the researchers provide offers and alternatives, including: BRIN as a research research center better understands and follows the policy of religious moderation as proclaimed by KEMENAG. The importance of religious moderation values is implemented to Muslims as a wasatan community in this country. Finally, BRIN is more open to Muhammadiyah organizations with decisions and choices as approved by the MORA ISBATH ASSEMBLY
EFEKTIVITAS TERAPI DZIKIR DALAM MENURUNKAN TINGKAT KECEMASAN PADA PASIEN KANKER
Abstrak. Kanker adalah salah satu penyakit dengan peningkatan prevalensi yang cukup signifikan secara global setiap tahunnya. Pasien yang didiagnosis kanker cenderung mengalami dan merasakan dampak yang beragam, seperti dampak secara fisik maupun psikologis. Dampak psikologis yang sering muncul salah satunya adalah gangguan kecemasan, yang ditandai dengan perubahan fisik dan perasaan pasien. Untuk mengatasi kecemasan pada pasien kanker, penelitian ini menggunakan intervensi terapi dzikir. Penelitian ini bertujuan untuk mengevaluasi seberapa efektif terapi dzikir untuk mereduksi gangguan kecemasan pada pasien yang menderita kanker. Hasil penelitian menunjukkan bahwa terapi dzikir memiliki efektivitas yang sebanding dengan intervensi non-farmakologis lain, seperti meditasi dan relaksasi. Penemuan ini menyoroti pentingnya integrasi terapi dzikir dalam perawatan pasien kanker sebagai metode non-invasif yang mudah diterapkan dan tidak menimbulkan efek samping. Integrasi terapi dzikir diharapkan dapat meningkatkan kualitas hidup pasien kanker dengan diagnosis dan pengobatan. Penelitian lebih lanjut perlu dilakukan untuk mengeksplorasi berbagai jenis dzikir yang paling efektif dan mengembangkan panduan praktis bagi perawat dalam menerapkan terapi ini.
Kata kunci: Terapi, Dzikir, Kanker, Kecemasan
Abstract. Cancer is a disease with a significant increase in prevalence globally every year. Patients diagnosed with cancer tend to experience and experience various impacts, such as physical and psychological impacts. One of the psychological impacts that often arises is anxiety disorders, which are characterized by physical changes and the patient\u27s feelings. To overcome anxiety in cancer patients, this research uses dhikr therapy intervention. This study aims to evaluate how effective dhikr therapy is in reducing anxiety disorders in patients suffering from cancer. The research results show that dhikr therapy has comparable effectiveness to other non-pharmacological interventions, such as meditation and relaxation. These findings highlight the importance of integrating dhikr therapy in the treatment of cancer patients as a non-invasive method that is easy to apply and does not cause side effects. The integration of dhikr therapy is expected to improve the quality of life of cancer patients with diagnosis and treatment. Further research needs to be conducted to explore the most effective types of dhikr and develop practical guidance for nurses in implementing this therapy.
Keynote: Therapy, Dhikr, Cancer, Anxiet
Physiographic Study of Java Island Based on EMAG2 v3 Data: Studi Fisiografi Pulau Jawa Berdasarkan Data EMAG2 v3
This study aims to analyze the physiography of Java Island based on the Earth Magnetic Anomaly Grid version 3 (EMAG2 v3) satellite data. The EMAG2 v3 dataset represents a global magnetic anomaly compilation acquired from satellite measurements provided by the National Oceanic and Atmospheric Administration (NOAA). The magnetic method, a geophysical technique that utilizes variations in the Earth’s magnetic field anomalies, was employed to delineate subsurface geological structures. The datasets used include administrative maps, regional geological maps, physiographic maps, and magnetic anomaly maps derived from EMAG2 v3 processing. Data processing was performed using the Geosoft Oasis Montaj software to generate the magnetic anomaly map of Java Island. The results indicate that the magnetic anomaly values across Java Island range from −300 nT to 450 nT, showing spatial variations among different physiographic zones. The northern part of Java exhibits low to moderate magnetic anomalies that correlate with alluvial deposits and young sedimentary formations, while the southern part displays moderate to high anomalies, reflecting the presence of volcanic rocks and intrusive bodies. This analysis demonstrates a strong correlation between magnetic anomaly variations and the lithological as well as structural characteristics of each physiographic zone. Therefore, EMAG2 v3 data can be effectively utilized to comprehensively interpret the regional geological framework of Java Island
Modeling Of Tsunami Flood Maps Along The Malang Coast Using Commit 1.8.1 And Quantum Gis 2.18.28 “Las Palmas” Software: Pemodelan Peta Banjir Tsunami di Sepanjang Pantai Malang Menggunakan Perangkat Lunak Commit 1.8.1 dan Quantum GIS 2.18.28 “Las Palmas”
The long coastline of Malang, located in the south of Java Island, is close to the Indian Ocean, which has a subduction zone. This makes Malang Regency a potential tsunami-prone area. Therefore, a tsunami inundation map is needed as a reference for creating a tsunami evacuation map. Tsunami inundation modeling is used to estimate the worst-case tsunami impact. The modeling was conducted using ComMIT (Community Model Interface for Tsunami) 1.8.1 based on an Mw 8.7 earthquake scenario taken from the 2017 Indonesian Earthquake Source and Hazard Center distribution of megathrusts and active faults in the South Java Sea, specifically in the East Java Megathrust zone. The inundation map was created using Quantum GIS 2.18. 28 Las Palmas The tsunami inundation modeling results showed that the inundation distance varied between 0.9 and 1.9 km inland, the tsunami height on the coast varied between 8.41 and 19.63 meters with a maximum run-up of 10 meters, and the tsunami arrival time on the coast was around 30 minutes after the earthquake occurred
The Visualization of the Batik Cloth Stamping Machine Using Augmented Reality at the Yogyakarta City Crafts and Batik Center
The batik stamp machine is one of the machines used by the Center for Crafts and Batik to make batik cloth. This machine has been automated using PLC (Programmable Logic Controler) which makes machine can be controlled by computer. The batik products produced are 15 page/month. From the results of the production carried out, it has not met the production target which is targeted to reach 50 page/month, so there is a need for innovation in the machine which will increase production. The redesign of this stamp machine using technology Augmented Reality namely visualizing a 3D image to be object 3D so that it can evaluate the object to be made before it reaches the development machine stage so as to reduce costs. The process that must be carried out is to make a drawing of a batik stamp machine including: machine size, and machine specifications, make a license on Vuvoria Engine to making markers on software unity. The method used in the development of Augmented Reality is single marker method i.e. one image marker can only display single objects, so the method cannot display multi object. From the results of making Technology Augmented Reality is a redesign carried out on the stamping machine for batik at the Center for Crafts and Batik is a rare step that can be done to increase the productivity of making batik so that it meets the production targets expected by the Center for Crafts and Batik. So it is necessary to visualize the machine with AR technology so that it becomes an evaluation material for batik cloth stamping machines and reduces the cost of the development of machines which in the future will be able to increase batik production
The Optimization of Double Pan Design for Household Use Based on Weight Reduction Using Taguchi Method
Abstract. Double pans are widely used in household kitchens due to their convenience and cooking efficiency. However, many users report discomfort caused by the excessive weight, particularly when flipping the pan during cooking. This study aimed to optimize the double pan design by focusing on reducing its weight using the Taguchi method. Three controllable factors were selected: pan material, handle material, and shaft material. An L9 orthogonal array was employed to efficiently design the experiments. The measured responses included total pan weight score assessed through the CAD simulation. Signal-to-noise ratio analysis was also conducted to identify the most influential factors and determine the optimal design combination. The findings indicate that material significantly affect user comfort, while pan weight is primarily influenced by material choice. This study demonstrates the applicability of the Taguchi method in consumer product design and provides a reference for developing lightweight and user-friendly kitchenware
Assessing AI Integration in Islamic Higher Education: A Mixed-Methods Fishbone Diagram Analysis
The integration of Artificial Intelligence (AI) in higher education has shown significant potential to improve the efficiency and effectiveness of learning. The strategic implementation of AI in State Islamic Higher Education Institutions (Perguruan Tinggi Keagamaan Islam Negeri/ PTKIN) fosters innovative pedagogy and improved academic performance. This study employs the Fishbone Diagram approach to systematically analyze AI\u27s impact on PTKIN’s education, identifying key factors influencing implementation. The method employs a reverse-cause analysis, mapping factors contributing to a primary issue, and identifying underlying causes and sub-factors. Findings highlight the crucial roles of technological infrastructure, human resource readiness, supportive policies, adaptive curriculum design, and organizational culture. This study underscores the necessity of integrated AI adoption frameworks in Indonesian Islamic higher education, harmonizing technological advancement with Islamic pedagogical principles. This study offers a foundational framework guiding PTKIN in developing sustainable and ethical AI policies. Comprehensive AI policies and strategies are essential for PTKIN to harmonize innovation with Islamic principles
IT Infrastructure Assessment using the COBIT 2019 Framework
The Admission Office is responsible for student enrollment, and since 2013, the admission process at UIN Sunan Kalijaga has been supported by information technology. To assess the current state of the IT infrastructure in this university, the COBIT 2019 Framework was used. This study identifies five key domains in need of improvement: APO12 (manage risk), which focuses on managing IT-related risks within an organization, BAI10 (manage configuration), to ensure that IT services are delivered efficiently and effectively, DSS02 (manage service requests & incidents), involves the process of providing quick and efficient responses to user requests and handling various incidents, DSS03 (manage problems), to provide timely and effective support to consumers, ensuring their issues are addressed, their needs are met, and DSS04 (manage continuity), to ensure that the organization can respond effectively to incidents and disruptions, minimizing downtime and maintaining business continuity. The results showed that the capability levels for these domains in UIN Sunan Kalijaga were at Level 1, while the target was Level 4, leading to a capability gap of 3. The gap indicates that considerable effort is required to improve and achieve the desired level of maturity, and this research proposes some recommendations to improve the IT infrastructure