Abstract:Abstract: The advancement of network security faces growing challenges as cyberattacks become more sophisticated. Traditional rule-based systems struggle with zero-day attacks and obfuscation techniques. This study examines…
nes the development trends of AI-based algo-rithms, particularly machine learning and deep learning, in threat detection. A literature review evaluates AI-driven approaches, including support vector machines, random for-est, deep neural networks, convolutional neural networks, and reinforcement learning. Findings show that AI enhances detection accuracy, adaptability, and reduces false posi-tives. Machine learning efficiently classifies known attacks, while deep learning excels in identifying complex patterns such as distributed denial-of-service and advanced persis-tent threats. Unsupervised learning improves anomaly detection without labeled data. However, AI models require high-quality data, substantial computational resources, and remain vulnerable to adversarial attacks. Despite these challenges, AI provides a dynam-ic and adaptive security solution, surpassing traditional systems. Future research should enhance AI scalability and resilience for evolving cybersecurity threats.
Keywords: anomaly detection; artificial intelligence; deep learning; machine learning; network security
Abstrak: Perkembangan keamanan jaringan menghadapi tantangan yang semakin besar seiring meningkatnya kompleksitas serangan siber. Sistem berbasis aturan tradisional kesulitan mendeteksi zero-day attack dan teknik penyamaran. Penelitian ini mengkaji tren pengembangan algoritma berbasis AI, khususnya machine learning dan deep learning, dalam deteksi ancaman. Literature review mengevaluasi pendekatan berbasis AI, termasuk support vector machines, random forest, deep neural networks, convolutional neural networks, dan reinforcement learning. Hasil penelitian menunjukkan bahwa AI meningkatkan akurasi deteksi, adaptabilitas terhadap ancaman baru, serta mengurangi false positive. Machine learning efektif mengklasifikasikan serangan yang telah diketahui, sementara deep learning unggul dalam mengenali pola kompleks seperti distributed denial-of-service dan advanced persistent threats. Unsupervised learning meningkatkan deteksi anomali tanpa memerlukan data berlabel. Namun, AI masih bergantung pada data berkualitas tinggi, sumber daya komputasi besar, dan rentan terhadap adversarial attack. Meskipun demikian, AI menawarkan solusi keamanan yang lebih dinamis dan adaptif dibandingkan sistem tradisional. Penelitian selanjutnya perlu difokuskan pada peningkatan skalabilitas dan ketahanan AI dalam menghadapi ancaman siber yang terus berkembang.
Kata kunci: deteksi anomali; jaringan keamanan; kecerdasan buatan; pembelajaran dalam; pembelajaran mesin
Abstract:Toko Anekatex is a business engaged in fashion for women, men, children, as well as school uniforms, pajamas, and other robes located on Jalan Dr. Sutomo No. 41 Kisaran city. In maintaining more advanced competitiveness,…
the company must continue to develop technology, another thing that needs to be considered in making the company more advanced is the relationship with customers which is also an important thing to always maintain. In an effort to manage good relationships with potential customers and customers, companies use Customer Relationship Management (CRM). CRM is a service to customers that is personal, with the aim of providing consistent experience, so that it can provide customer satisfaction, and also get good relationships in the long term. By implementing a good E-CRM, companies will more easily interact with potential customers and customers and provide information according to their needs Customers can also obtain the information they need more quickly and easily. By implementing Customer Relationship Management (CRM) carried out at Anekatex Stores as an effort to improve customer strategies are well proven by the series of processes above and with this application to increase buybacks from total sales every month.
Abstract:Abstract: This research aims to build a recommendation system that can help parents determine the best Pendidikan Anak Usia Dini (PAUD) using the ELECTRE (Elimination and Choice Translating Reality) method. The electre method…
ethod was chosen because of its ability to handle Multi-Criteria Decision Making (MCDM) problems, which allows evaluating alternatives based on various relevant criteria. This system is designed to identify and assess PAUD based on a number of important criteria, such as facilities, location, teacher-student ratio, curriculum, accreditation and reputation. Each criterion is given a weight according to its level of importance, which is determined based on parental preferences and applicable educational standards. Data is collected from various sources and processed using artificial intelligence techniques to ensure accuracy and relevance. The electre method is then used to evaluate and compare between PAUD. The research results show that the recommendation system developed is able to provide accurate and relevant PAUD recommendations, as well as increasing user satisfaction in the PAUD selection process. This research makes a significant contribution to the field of decision support systems and education, by showing the practical application of the electre method in determining the best PAUD. It is hoped that the results of this research can inspire the development of similar recommendation systems in other educational fields, as well as help in improving the quality of early childhood education through the use of advanced technology.
Keywords: artificial intelligence; electre method; multi-criteria decision making (mcdm); paud.
Abstrak: Penelitian ini bertujuan untuk membangun sistem rekomendasi yang dapat membantu orang tua dalam menentukan Pendidikan Anak Usia Dini (PAUD) terbaik dengan menggunakan metode ELECTRE (Elimination and Choice Translating Reality). Metode electre dipilih karena kemampuannya dalam menangani masalah Multi-Criteria Decision Making (MCDM), yang memungkinkan evaluasi alternatif berdasarkan berbagai kriteria yang relevan. Sistem ini dirancang untuk mengidentifikasi dan menilai PAUD berdasarkan sejumlah kriteria penting, seperti fasilitas, lokasi, rasio guru-murid, kurikulum, akreditasi dan reputasi. Setiap kriteria diberikan bobot sesuai dengan tingkat kepentingannya yang ditentukan berdasarkan preferensi orang tua dan standar pendidikan yang berlaku. Data dikumpulkan dari berbagai sumber dan diproses menggunakan teknik kecerdasan buatan untuk memastikan akurasi dan relevansi. Metode electre kemudian digunakan untuk melakukan evaluasi dan perbandingan antar PAUD. Hasil penelitian menunjukkan bahwa sistem rekomendasi yang dikembangkan mampu memberikan rekomendasi PAUD yang akurat dan relevan, serta meningkatkan kepuasan pengguna dalam proses pemilihan PAUD. Penelitian ini memberikan kontribusi signifikan pada bidang sistem pendukung keputusan dan pendidikan, dengan menunjukkan aplikasi praktis dari metode electre dalam penentuan PAUD terbaik. Diharapkan, hasil penelitian ini dapat menginspirasi pengembangan sistem rekomendasi serupa di bidang pendidikan lainnya, serta membantu dalam meningkatkan kualitas pendidikan anak usia dini melalui pemanfaatan teknologi canggih.
Kata kunci: kecerdasan buatan; metode electre; multi-criteria decision making (mcdm); paud.
Abstract:Abstract: Population growth in some regions such as Asia is still high, especially in the number of births in children. Indonesia is one of the many countries whose birth rate growth is still high. With this high birth rate,…
ate, it will cause problems for the region such as the problem of uncontrolled population growth if the birth rate continues to be high in addition to the social and economic impact of the region. To reduce the birth rate, the government created a family planning program to minimize the high birth rate. In birth control with this birth control program, contraceptive devices and drugs (ALOKON) are used as a prevention of pregnancy. This is intended to determine the level of allocone use in family planning patients in the outpatient unit and recap reports of birth control patients in the outpatient unit. In addition, the era of digitalization of technology utilization with information systems that have been increasingly developed and advanced, especially in the health sector. The system development method used in this journal is the waterfall method which consists of analysis, system design, implementation, unit testing, and maintenance. The results obtained are in the form of developing implementation results from the design made into a family planning information system in the outpatient unit. This research was made to develop an existing information system and can assist medical record officers in processing data and reports more effectively and efficiently.
Keywords: alokon; growth of birth rate; information system; kb
Abstrak: Pertumbuhan penduduk dibeberapa wilayah seperti di Asia masih tinggi terutama pada angka kelahiran pada anak. Indonesia merupakan salah satu dari sekian banyak negara yang pertumbuhan angka kelahirannya masih tinggi. Dengan tingginya angka pertumbuhan kelahiran ini akan menimbulkan masalah bagi wilayah itu seperti permasalahan pertumbuhan penduduk yang tidak terkendali jika angka kelahiran terus tinggi selain itu berdampak pada kehidupan social dan ekonomi wilayah itu. Untuk menekan angka kelahiran pemerintah membuat program KB (Keluarga Berencana) dalam meminimalisir angka kelahiran yang tinggi. Dalam pengendalian kelahiran dengan program KB ini digunakan alat dan obat kontrasepsi (ALOKON) sebagai pencegah kehamilan. Hal ini ditujukan untuk mengetahui tingkat pemakaian alokon pada pasien KB di unit rawat jalan serta rekapan laporan pasien KB di unit rawat jalan tersebut. Selain itu era digitalisasi pemanfaatan teknologi dengan sistem informasi yang sudah semakin berkembang dan maju, terutama pada bidang Kesehatan. Metode pengembangan sistem yang digunakna pada jurnal ini adalah metode waterfall yang terdiri dari analisis, perancangan system, implementasi, pengujian unit, dan pemeliharaan. Hasil yang diperoleh berupa pengembangan hasil implementasi dari perancangan yang dibuat menjadi system informasi KB di unit rawat jalan. Penelitian ini dibuat untuk mengembangkan system informasi yang telah ada serta dapat membantu petugas rekam medis dalam pengolahan data dan laporan yang lebih efektif dan efisien.
Kata kunci: alokon; kb; pertumbuhan angka kelahiran; sistem informasi
Abstract:Pertumbuhan teknologi informasi dan komunikasi (TIK) memengaruhi cara anak-anak berinteraksi di dunia digital, termasuk melalui platform permainan daring seperti Roblox. Di samping memberikan dampak positif dalam hal pendidikan,…
didikan, seperti stimulasi kreativitas dan kerja sama tim, Roblox juga menimbulkan potensi bahaya terkait paparan konten yang tidak pantas, contohnya kekerasan, ujaran kebencian, dan eksploitasi daring. Kajian ini berupaya untuk mengkaji bagaimana peran orang tua dalam menjaga anaknya dari materi negatif dalam permainan daring Roblox, menggunakan metode yuridis normatif. Penelitian ini bakal mengkaji kerangka-kerangka hukum dalam negeri yang relevan, seperti dalam Pasal 28B ayat (2) dari Undang-Undang Dasar Negara Republik Indonesia Tahun 1945, yang mana UU Nomor 35 Tahun 2014 soal Perlindungan Anak, serta UU Nomor 19 Tahun 2016 tentang Informasi dan Transaksi Elektronik nom de plume UU ITE. Hasil penelitian menunjukkan bahwa walaupun aturan hukum di Indonesia secara teori sudah memberikan perlindungan buat anak-anak di dunia advanced, penerapannya di lapangan masih jauh dari sempurna. Ini terjadi karena kemampuan orang tua dalam hal literasi digital yang masih rendah, plus kurangnya pengawasan terhadap aktivitas anak di dunia maya. Karena itu, penting banget untuk memperkuat keterlibatan orang tua, di mana mereka berperan sebagai pemberi fasilitas, pendamping, dan pengawas kegiatan online anak. Kerja sama yang kuat antara keluarga, pemerintah, dan para pembuat platform digital jadi kunci utama buat menciptakan ruang digital yang aman, sesuai dengan prinsip kepentingan terbaik bagi anak.
Abstract:The Industrial Revolution 4.0 has drastically transformed global industries, introducing advanced technologies such as automation, artificial intelligence, and digitalization into the workplace. This rapid technological…
shift has presented significant challenges for labor laws, which are often designed for traditional work environments. This study explores the implementation of labor law in the context of the Industrial Revolution 4.0, analyzing the challenges faced by both employers and employees in adapting to these new technological advancements. Using a qualitative methodology, this research employs a juridical review of existing labor laws, supported by an in-depth case study examining how these laws are applied in technology-driven industries. The findings indicate that labor laws often lag behind the technological advances, leading to gaps in legal protections for workers and ambiguities in employer obligations. The case study highlights specific instances where current labor regulations fail to address issues related to remote work, job displacement due to automation, and workers' rights in the gig economy. Solutions are proposed to modernize labor laws, ensuring they are adaptable to future technological developments while safeguarding workers' rights. The study concludes that there is an urgent need for legal reforms to balance innovation with fair labor practices in the era of Industry 4.0.
Abstract:This study examines the effectiveness of training programs for room attendants in the hospitality industry, focusing on their impact on performance, job satisfaction, and retention. Using a qualitative approach, in-depth…
interviews were conducted with 20 room attendants and 10 housekeeping managers across various hotel segments. The findings reveal that while initial training typically covers basic cleaning techniques and safety protocols, it often lacks depth in advanced methods and customer service skills. Challenges such as time constraints and reliance on informal learning are common, affecting the consistency and quality of training. Effective training programs were identified as those that provide comprehensive, ongoing instruction and incorporate innovative methods like virtual reality and gamified learning. The study also highlights the importance of mentorship programs and regular feedback to enhance training outcomes. Recommendations for improving training programs include developing detailed curricula, addressing time constraints, and adapting to emerging trends. By implementing these strategies, hotels can enhance room attendants' skills, satisfaction, and overall service quality, leading to improved guest experiences and operational success.
Abstract:One part of public policy is education policy. A policy arises because there is a problem that requires appropriate handling, so that the policy can be used as a guide. Formulating education policy is a process of formulating…
ating reforms for actions that are relevant and acceptable to common sense to resolve various problems related to education. This research uses qualitative methods and is included in the library research category. The data sources were obtained from primary books and journals related to the theme, the data analysis technique used descriptive analytical methods. The results of this research include: that the first time Islamic education was in the motherland was in line with the arrival of Islam to Indonesia. Through long dynamics there are three phases. First, during the Old Order the government slowly paid attention to Islamic education. Second, in the new order, during this period madrasas achieved equality with public schools. In the third period of reform, Islamic education in this period has developed advanced, the curriculum, then Islamic education is also paid attention to by disbursing a budget of 20% of the APBN.
Abstract:The Malacca Strait is a vital maritime route that faces significant challenges from high traffic volumes and increasingly frequent extreme weather scenarios. These conditions pose serious risks to navigational safety, environmental…
vironmental integrity, and maritime operational security. This study aims to analyse the needs and components of a robust maritime surveillance architecture in the Malacca Strait, particularly in dealing with the impacts of extreme weather and climate change. Additionally, this research will explore the role of geospatial maritime intelligence in enhancing situational awareness and response to maritime incidents. The study findings indicate that a resilient surveillance architecture in the Malacca Strait requires the integration of advanced sensor systems (including multi-spectral radar and meteorological/oceanographic sensors), redundant communication networks, and AI/ML-based intelligent data processing. The adaptive capabilities of the system, including the use of UAVs and USVs, are critical to maintaining operational effectiveness in adverse weather conditions. Additionally, international cooperation and a robust policy framework, encompassing climate change adaptation and ethical considerations, are fundamental to the successful implementation and sustainability of surveillance systems. The Malacca Strait case study highlights specific vulnerabilities and proposes concrete solutions, illustrating a shift from a reactive to a proactive paradigm in maritime security. Building a resilient surveillance architecture in the Malacca Strait is a strategic imperative to safeguard global trade, regional stability, and environmental sustainability amid increasing climate uncertainty. Integrating cutting-edge technology with robust policies and international collaboration will ensure the safety and security of this vital waterway, making it a model for resilient maritime governance globally. A new aspect emphasised is the importance of adapting to climate change and the role of AI in predictive decision-making. This article presents a comprehensive and integrated approach to building a resilient maritime surveillance architecture, with a particular focus on the challenges of extreme weather in the Malacca Strait. Its originality lies in its emphasis on multi-sensor data fusion, the role of artificial intelligence in predictive analytics, and the integration of climate change adaptation into surveillance system design. Additionally, the article underscores the importance of a robust policy framework and international cooperation as the cornerstones of maritime surveillance resilience, offering a blueprint applicable to other critical maritime routes worldwide
Abstract:Background: Pulmonary tuberculosis (pulmonary TB) is a chronic infectious disease caused by the bacterium Mycobacterium tuberculosis. Mycobacterium tuberculosis is a bacterium that causes tuberculosis infection which is…
transmitted by droplet splashes and becomes a vector of transmission when a person interacts physically. Objective: This study aims to determine the relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication at An-Nisa Hospital Tangerang. Methods: This study used descriptive analytic quantitative research with a cross sectional approach. The sampling technique used was purposive sampling method, where this technique selected subjects in a population that matched the criteria as a sample, namely pulmonary TB patients who were undergoing initial and advanced treatment at An-Nisa Hospital, Tangerang, totaling 102 respondents. Data analysis was performed using the chi-square test. Results: The results of the respondent's data processing showed that the level of knowledge with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.021), and motivation with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.027 ). Conclusion: It can be concluded that there is a relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication in patients with pulmonary TB. Therefore, to reduce the occurrence of drug-resistant TB, efforts should be made to increase adherence to treatment in TB patients, either through the method of providing direct motivation or through counseling about pulmonary TB disease.