bluuebunny/crossref_metadata_2025 huggingface dataset:
Authentication in a Hyperconnected World: Challenges, Opportunities and Approaches
Authors: Lipps Christoph , Herbst Jan , Reddy Rekha , Rüb Matthias , Schotten Hans D.
Published: March 2024

Authentication and integrity are the prerequisites for trustworthy and secure communication. Without unambiguous knowledge of who is being interacted with, no confidential content can be exchanged, no (remote) access to systems and equipment can be granted, and no trust can be established. This situation is further exacerbated by an increasing interconnection and globalization towards a hyperconnected world. (Communication) Participants are no longer necessarily in close physical and social proximity and do not need to know each other, but can have their source/destination anywhere in the world.

       An authentication process is used to verify that someone -whether human or machine-, is in fact who she claims to be: The process thus includes a validation step to evaluate an assertion. However, systems differ in terms of their requirements, for instance with regard to the authentication options available, the time period required for re-authentication and the frequency of re-authentication, as well as the level of security to be achieved with authentication. The latter particularly with regard to the cost/benefit ratio of the application. Additionally, there are efforts to finally abolish traditional passwords, passphrases and pin codes and render them obsolete.

       In this work, technologies and methods for authentication beyond passwords and trustworthy authentication will be examined, particularly with regard to future communication infrastructures such as Beyond 5G and Sixth Generation (6G) wireless systems. Thereby, the impact of Artificial Intelligence (AI) methods, but also the relevance to Quantum Key Distribution (QKD) and Post Quantum Cryptography, as well as the use of 6G-enabling technologies like Reconfigurable Intelligent Surfaces (RISs), Wireless Optical Communication (WOC) and Physical Layer Security (PhySec), for example as additional factors of a multi-factor authentication process, will be considered, along with Body Area Networks (BANs) and the integration of the human body relying on biometrics. The various concepts are compared with regard to their requirements, limitations and possible applications in order to provide the user with an orientation as to which authentication method is conceivable and useful in which specific scenarios.
A Study into Privacy and Legal Issues in Cloud Computing: The Mozambican Context
Authors: Vumo Ambrosio Patricio
Published: March 2024

During the last 10 years, Cloud computing has become an evolving technology providing several benefits such as cost reduction and high flexibility. However, one of the main challenges related to cloud computing is related to data security and privacy. Despite this, worldwide many countries, specially developed countries have adopted cloud computing technology. In Africa, specifically in the Southern African Development Community (SADC), Mozambique is one the countries who has recently adopted cloud computing technology. However, on the contrary to countries such as Mauritius and South Africa, Mozambique still does not have a national strategy for cloud computing in place, including security and privacy issues. International organizations such as ENISA and NIST as well as ITU have published frameworks related to cloud computing adoption covering data security and privacy issues. Therefore, in this paper we first analyze the cloud computing frameworks published by these international organizations. In addition, the paper also analyses the adoption of cloud computing in developed and developing countries, such as USA, UK, Germany, Mauritius and South Africa. From these analyses, the paper presents some recommendations for Mozambique to adopt best practices and follow international frameworks related to cloud computing including data security and privacy.
Unpacking AI Security Considerations
Authors: Veerasamy Namosha , Badenhorst Danielle , Ntshangase Mazwi , Baloyi Errol , Siphambili Noku , Mahlasela Oyena
Published: March 2024

The field of Artificial Intelligence has emerged as a convincing tool to be used in a myriad of applications like finance, traffic prediction, health and travel sectors. Due to the enormous benefits provided in terms of automation, convenience, processing time, reduced manhours, and productivity, AI is being seen as the next technical revolution.  AI is being showcased as a useful tool to stimulate creativity as well as provide support with its tremendous computational power. The release of tools like ChatGPT has exploded onto the technological scene. Users are making use of Large Language Models (LLMs) and tools to perform a host of activities like writing an essay, translating documents, and finding travel plans. However, the popularity of these tools has not been without risk.  In the technology marketplace, the race to dominance can force competitors to waive safety concerns in favour of product adoption. Many are unaware of the potential dangers and risks that may inherently reside within AI tools. This paper looks at the potential risks of AI tools such the creation of misinformation or scams. AI security has now become a paramount concern that should not be ignored. In this paper, the potential risks and threat vectors of Artificial Intelligence will be covered. The aim will be to provide insight into the malicious use of Artificial Intelligence Tools through a discussion of techniques to bypass security controls.  The paper aims to provide a more detailed account on how AI can be manipulated in order to empower users about the latest attack schemes.
Capture the Flag with ChatGPT: Security Testing with AI ChatBots
Authors: Chamberlain David , Casey Ellis
Published: March 2024

Penetration testing, commonly referred to as pen testing, is a process of assessing the security of a computer system or network by simulating an attack from an external or internal threat actor. One type of pen testing exercise that has become popular among cybersecurity enthusiasts is called Capture the Flag (CTF). This involves solving a series of challenges that simulate real-world hacking scenarios, with the goal of capturing a flag that represents a piece of sensitive information. Recently, there has been a growing interest in the use of natural language processing (NLP) and machine learning (ML) technologies for penetration testing and CTF exercises. One such technology that has received significant attention is ChatGPT, a large language model (LLM) trained by OpenAI based on the GPT-3.5 architecture. The use of ChatGPT in CTFs has several potential benefits for participants and organisers, including more dynamic and realistic scenarios and enhanced learning experiences, and enhance the effectiveness and realism of CTFs.. Future research can explore more sophisticated models and evaluate the effectiveness of ChatGPT in improving the performance of participants in CTFs.
Covert Subversive Agents and Consensus Disruption on Large Projects
Authors: Vorster Johannes , Leenen Louise
Published: March 2024

Is it possible to dramatically affect and influence military and other projects through social engineering of the consensus processes? In this paper we explore the impact that subversive agents can have on the ability of projects to move forward by disrupting the social cohesion and decision-making abilities of the processes designed to reach consensus. A consensus simulator is used to model group social cohesion behaviour in the context of project deliverables and show what the effect can be on the effort to reach consensus (number of meetings) as well as the time to reach consensus (calendar time) when subversive agents attempt to influence the groups making up the project team in such a way that it delays the ability of the team to reach consensus on key decisions. Many military options are available to delay enemy projects, including the assassination of enemy scientists, sanctions aimed at denying key project components, or even direct military action such as bombing the enemy facilities. However, this paper focusses on aspects of soft-force projection through covert disruption of project timelines. A social simulator was constructed that models individual agent’s beliefs about various key topics within the context of a project. The effect that a small number of subversive agents can have on the time- and effort of a project is shown. In their covert actions, these subversive agents need to stay hidden, and thus their covert actions are limited, yet they can exert significant damage to the project in terms of delays. In this paper we present results showing the effects that such a small group can have, as well as pointing out that there seem to be a critical group size over which the subversive agents can not only have significant impact on project-delays but can also steer and direct certain key decisions.
Cybersafe: Gamifying Cybersecurity Training with a Training App
Authors: Roque Carlos , Moodley Gareth , Mandal Sayonnha
Published: March 2024

The rapidly evolving digital landscape has triggered a surge in cybersecurity threats, particularly social engineering techniques which demand innovative and accessible countermeasures to combat them in an accessible and real-time format. We present "Cybersafe," a mobile application designed to empower users to identify and combat common social engineering exploits effectively. The transformative concept behind this initiative aims to reshape traditional cybersecurity training by introducing a gamified, user-friendly platform suitable for all age groups. Cybersafe’s application's functionality revolves around interactive quizzes that assess users' ability to identify threats. The findings from the research serve as a valuable resource for cybersecurity trainers, application developers, and organizations striving for a secure digital environment.
Bibliometric Analysis of Cyber Warfare Research in Africa: Landscape and Trends
Authors: Mtsweni Jabu , Thaba Mphahlela
Published: March 2024

As the digital landscape continues to evolve, cyber warfare has emerged as a prominent domain of warfare, with superpower nations actively demonstrating their capabilities in the cyberspace. This study posits that African countries exhibit a relative lag in research and development of cyber warfare capabilities, as evidenced by the absence of African nations in the National Cyber Power Index released by the Belfer Centre for Science and International Affairs in 2022. To address this knowledge gap, this paper presents a comprehensive bibliometric analysis of cyber warfare research and development within the African continent. The analysis aims to illuminate research productivity, performance, science mapping, and key contributors at both national and institutional levels. It seeks to uncover thematic trends, pinpoint key research areas, and identify research connections within the African context. This research evaluates the African continent's research participation and development in the cyber and/or information warfare domain over the past 23 years. The analysis encompasses scholarly articles and conference proceedings published between 2000 and 2023, utilizing Scopus as the primary data source. Preliminary findings suggest that cyber warfare research in Africa is concentrated in a limited number of countries, with South Africa emerging as the leading contributor. A comparative analysis further reveals that developed countries generally outpace African nations in cyber warfare research and development, corroborating the rankings presented in the National Cyber Power Index (NCPI) and Global Cybersecurity Index (GCI).
Conditions and possibilities of using e-logistics in manufacturing enterprises
Authors: Tokarski Daniel , Bielecki Maciej
Published: March 2024

Progressing globalisation, competitiveness and implemented technological innovations constitute important challenges for enterprises operating in such a turbulent environment. Organisations are forced to adapt much faster and more flexibly to rapidly changing market conditions. Manufacturing companies realise that it is impossible to meet market requirements by constantly using conventional methods of operation, especially in the sphere of physical flows of goods, information and financial resources, for which logistics is responsible. One of the solutions that can support manufacturing companies is e-logistics, which enriches logistics phases and processes in the sphere of information technology (IT) and information and communication technologies (ICT). The aim of the study is to identify the conditions and possibilities of using e-logistics in Polish manufacturing enterprises.
Dampak Keberadaan Transportasi Online Terhadap Pendapatan Transportasi Konvesional: Studi Kasus Penarik Ojek Di Baubau
Authors: Gunawan Yazidul , Efendi Ahmad , Bahar Syamsul Bahri
Published: March 2024

Peran transportasi dalam memajukan ekonomi sebuah kota tidak bisa diabaikan, karena menjadi fondasi penting bagi aktivitas ekonomi dan sosial. Penelitian ini menggunakan data kuantitatif untuk mengevaluasi dampak transportasi daring terhadap pendapatan pengemudi ojek konvensional. Hasil penelitian menunjukkan dampak negatif yang signifikan dari kehadiran layanan transportasi daring terhadap pendapatan pengemudi ojek konvensional. Sebelumnya, pendapatan rata-rata pengemudi ojek konvensional berkisar dari Rp. 10.000 hingga lebih dari Rp. 160.000. Namun, setelah adanya layanan daring ini, pendapatan responden yang sebelumnya lebih tinggi mengalami penurunan drastis. Terlebih lagi, jumlah pelanggan juga menurun secara signifikan, berdampak langsung pada kesejahteraan dan stabilitas finansial para pengemudi ojek konvensional
Analysis of profitability ratio to financial performance of Indonesian telecommunication company Tbk (2018-2022 Period)
Authors: Lestari Puji , Rafiyani Ade Repi , Rahmawati Siti Nur , Haryadi Didit
Published: March 2024

This study aims to assess the financial performance of PT Telekomunikasi Indonesia Tbk by analyzing financial statements using profitability ratios. Data collection techniques in this study use qualitative research methods with a descriptive approach. The type of data in this study is secondary data, which is obtained directly through the official website of PT Telekomunikasi Indonesia Tbk. This research received the results of the profitability ratio at PT Telekomunikasi Indonesia Tbk; namely, the development of the company's ratio cannot be said to be good because it has decreased a lot from year to year. This causes the company to be unable to generate profits because the calculation of return on assets, return on equity, gross profit margin, and net profit margin every year has decreased significantly. However, the same increase in 2021 also decreases again the following year. So it can be said that the company has not been efficient in generating profits and its financial performance also cannot be said to be good. This study aims to develop a model for reviewing financial statements from financial performance. This research is expected to make theoretical contributions to the literature in this context, including in the context of financial and banking management.
Perception of people's business credit and own capital in increasing the productivity of MSME actors in Ciomas District, Serang Regency
Authors: Adawiyah Robiatul , Vinata Putri Nurmala , Adiyanti Asrini , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

Micro, small, and medium enterprises (MSMEs) in Indonesia are very important for economic growth and in efforts to overcome unemployment, poverty, and income equality. One of the problems for MSMEs in doing business is Capital Capital. This study aims to develop a model to examine the three variables the author has analyzed to determine the factors that can increase the productivity of MSME actors. This study used the associative descriptive quantitative method with a population of 90 respondents drawn into samples using non-probability sampling saturated sampling / total sampling. Data analysis techniques using linear regression with the help of SPSS software version 26. The results of this study show that the first hypothesis of people's business credit affects the productivity of MSME actors. Thus, the second hypothesis states that productivity influences the productivity of MSMEs. MSMEsproductivity of MSME actors is influenced by people's business credit and own CapitalCapital, which can simultaneously increase the productivity of MSME competitors rated to make theoretical contributions to the literature in this context, certainly in the context of t.
Dominance of leadership style and preventive work discipline in improving the performance of village apparatus
Authors: Komala Nina , Junaenah Junaenah , Syarifah Syarifah , Awaludin Jamal Fahrul , Haryadi Didit
Published: March 2024

Performance is an important factor that affects success. In an organization, this is one of the most important functions of an agency. This study aims to determine the variables that affect the performance of village apparatus and develop a theoretical basis and research model. This study used an associative descriptive quantitative method with 30 respondents drawn into samples using non-probability sampling and saturated sampling / total sampling. Data analysis techniques using linear regression with the help of SPSS software version 26. The results of this study show that the first hypothesis of leadership style does not affect the performance of the village apparatus. Thus, the second hypothesis states that work discipline significantly influences the performance of the village apparatus. The third hypothesis is that the performance of the village apparatus is influenced by leadership style and preventive work discipline, which can simultaneously improve the acceleration of the performance of the village apparatus. This research is expected to make theoretical contributions to the literature in this context, certainly in the context of human resource management.
What is economic growth and human development influence on poverty in West Sumatra
Authors: Putra Trimardi Jaya , Wirda Fisla
Published: March 2024

The poverty rate is used as one of the benchmarks for assessing the success of a nation's development. This study aims to determine the effect of economic growth and human development index (HDI) on poverty levels. The data used is secondary data published by the Central Statistics Agency (BPS) of West Sumatra Province from 2010 to 2021 detailed for 19 (nineteen) districts/cities. The number of samples in this study was 228 (two hundred twenty-eight) observations. Data analysis is done by multiple linear analysis of panel data using the help of the Eviews program. The results of the analysis show that the poverty rate is proven to be significantly influenced by economic growth and human development index. Partially, the variable poverty rate is influenced by economic growth in a negative direction, but the effect is not significant. The poverty level variable is also proven to be influenced by the human development index with a significant negative value.
Evaluate the suitability of regional spatial planning Tanggamus Regency
Authors: Fasa Achmad Saeful
Published: March 2024

Organizing spatial planning is important to achieve safe, comfortable and sustainable spatial conditions. Regional Government plays a key role in preparing regional spatial plans and controlling space utilization. Monitoring and evaluation is carried out routinely to assess the suitability of space utilization. Evaluation of the Suitability of the Spatial Planning of Tanggamus Regency in 2023 show a level of conformity of 88.71%, in the QUALITY category. The conclusion of the analysis highlights aspects that need to be considered in space management in Tanggamus Regency, providing a basis for policy formulation that maintains consistency in space use and increases conformity with spatial plans.
A strategy to enhance the quality of public administration services at better Tadulako University
Authors: Munari
Published: March 2024

The study aims to explore strategies to enhance public administration capacity at Tadulako University, using a qualitative approach through case studies. This research mainly focuses on understanding how the applied strategies can improve administrative processes and provide better services to students and staff. Researchers collect data by conducting in-depth interviews, live observations, and document analysis with administrative staff, students, and faculty. Researchers conduct thematic analysis to identify key themes and comprehend the effectiveness and impact of implemented strategies. Research results show that integrating information technology, staff training, and revising bureaucratic processes are critical factors in improving the efficiency and quality of administrative services. Data triangulation reinforces these findings, ensuring the validity and reliability of the results. The research provides insights into best organizational practices and offers valuable recommendations for other higher education institutions facing similar challenges. These implications extend beyond operational improvements to enhancing student education experiences, illustrating the connection between effective administration and academic success in higher education institutions.
Responsibility for campaign grant funds in the 2024 presidential election: Hifdzul Mal's perspective
Authors: Manik Indra Prawira , Zulham Zulham
Published: March 2024

President Joko Widodo has made a decision regarding the voting day for the General Election of 2024. The substantial campaign fund required for the presidential election necessitates donors for campaign financing. However, issues arise in the implementation concerning the unclear origin of campaign grant funds. "Hifdzul mal" or protection is one of the concepts derived from Sharia maqasid, obligating the proper preservation and protection of property as a means of worshiping Allah. In Islam, the safeguarding of wealth prohibits theft, deception, hoarding, and engaging in activities related to usury. The acquisition of wealth must adhere to Sharia-compliant efforts.This research utilizes a normative legal research method with a statutory approach and a conceptual approach. The data collection employs library research instruments, and qualitative methods are used to gain an understanding of the researched issues. The findings reveal that, in the compilation of laws within the Election Supervisory Agency (BAWASLU) and the General Election Supervisory Board (PKPU) Acts regarding the supervision of campaign funds for general elections, several provisions align with the concept of "Hifdzul Mal" (wealth protection). It is emphasized that the management of campaign funds is highly relevant to the concept of value in Hifdzul Mal. Individuals or groups involved in fraud related to campaign funds face legal consequences based on the principles of Hifdzul Mal and the Election Supervisory Agency (BAWASLU) and General Election Supervisory Board (PKPU) Acts. This legal foundation underscores the importance of safeguarding wealth and the severity of the sins committed by violators
Motorcycle workshop selection recommendation system in gading serpong using the topsis method
Authors: Natapura Septaria Dwi , Twince Fenina Adline , Kusnadi Adhi , Nainggolan Rena
Published: March 2024

In Indonesia, motorbike repair shops have become a necessity for motorbike riders. The large number of motorcycle repair shops makes it difficult for users to determine the right repair shop according to their needs. Thus, the role of the recommendation system is needed. In order to meet the need for various criteria, a recommendation system for selecting a motorbike repair shop was built using a case study in Gading Serpong. The criteria used are distance, service, speed, price, and comfort of the waiting area. The TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria method that is computationally efficient and is able to measure the relative performance of various decision alternatives in simple mathematical form. Therefore, this research system was built using the TOPSIS method. The test results in this research show that the TOPSIS method has been implemented correctly. Apart from that, a success test of the recommendation system has been carried out by distributing questionnaires, with a success percentage of 82.24%. The questionnaire results obtained have also been tested using Cronbach Alpha, with a result of 0.81, which means that the questionnaire results obtained can be trusted
Clinical features of coronavirus infection with concurrent olfactory dysfunction
Authors: Lukyanov Aleksandr V. , Ploskireva Antonina A.
Published: March 2024

Aim – to identify the clinical features of low-symptomatic forms of COVID-19 coronavirus infection with accompanying olfactory dysfunction.
Material and methods. The study included the survey of people with a history of coronavirus infection conducted on the basis of the Central Research Institute of Epidemiology of Rospotrebnadzor. A total of 39,676 patients were interviewed, of whom 24,086 (60.70%) had suffered some form of new coronavirus infection COVID-19. Methods of descriptive statistics were used for processing the research results.
Results. Olfactory dysfunction was the only symptom of the acute period of COVID-19 infection in 4% of patients. The occurrence of this symptom depended on the dominant circulating genovariant, with the maximum of 7.8% during Alpha, the basic reproduction number (inverse relationship, Pearson correlation coefficient -0.9) and the age of the patient (more often in persons under 44 years of age). The occurrence of the symptom had no correlation with the patient's gender. Patients with olfactory dysfunction during the COVID-19 infection were significantly less likely (4.2% vs. 12.6%, P = 0.04) to require hospitalization and oxygen therapy (2.5% vs. 32.2%, P 0.001).
Conclusion. Olfactory dysfunction may be the only symptom of the acute period of COVID-19 infection, which allows us to suggest its isolation into a separate form. The occurrence of this form depends on the dominant circulating genovariant, the basic reproductive number of the virus and the age of the patient. Patients with this form of coronavirus infection are less likely to require hospitalization and oxygen therapy.
PERAN POLDA RIAU DALAM MENCEGAH RADIKALISME DAN TERORISME DALAM RANGKA MEWUJUDKAN KEAMANAN NASIONAL DI DAERAH
Authors: Santoso Anggara Dewa Ringga Buana , Santoso Puguh , Malik Ichsan
Published: March 2024

Terorisme muncul sebagai akibat dari sikap radikalisme yang memuncak hingga menyebabkan individu menjadi pribadi destruktif yang melakukan tindakan perusakan karena dianggap ancaman bagi dirinya, dalam rangka membela kepercayaan yang dianutnya. Provinsi Riau menjadi lokasi yang berpotensi dalam perkembangan jaringan teroris Indonesia hal ini dikarenakan, Riau yang berbatasan langsung dengan dua negara yang berpeluang menjadi lokasi berkembangnya terorisme dan radikalisme yang termasuk kedalam kejahatan transnasional. Dalam tiga tahun terakhir, tepatnya 2018 hingga 2021 dilansir (alinea.co.id, kompas.co.id, & detik.com) di Riau terjadi aksi terorisme yang diprakarsai oleh konsep radikalisme dan kemudian diwujudkan dalam bentuk aksi terorisme. Dalam berjalannya waktu paham radikalisme dan terorisme semakin meluas dikarenakan Provinsi Riau merupakan lokasi yang berpotensi dalam perkembangan radikalisme dan terorisme sebagai wilayah perbatasan antara dua negara. Polda Riau memiliki peran untuk mencegah radikalisme dan terorisme di Provinsi Riau dengan berkolaborasi bersama berbagai pihak termasuk pemberdayaan masyarakat. Penelitian ini bertujuan untuk mengkaji peran Polda Riau dalam mencegah perkembangan radikalisme dan terorisme di Provinsi Riau dalam rangka mewujudkan keamanan nasional di daerah. Hasil penelitian menunjukan Polda Riau memiliki dua strategi utama berupa Soft Approach dan Hard Approach sebagai upaya dalam mencegah perkembangan radikalisme dan terorisme di Provinsi Riau dengan hasil yang cukup baik.
Implementasi Program Kartu Lansia dalam Meningkatkan Kesejahteraan Lansia oleh Dinas Sosial DKI Jakarta Tahun 2021
Authors: Hartanti Lisa Novita , Aryani Lina
Published: March 2024

Implementasi merupakan salah satu proses dari kebijakan publik yang sifatnya sangat krusialperuntukkannya sebab mencakup masyarakat luas, salah satunya bagi penduduk lanjut usia. Penduduklansia perlu mendapatkan perhatian dan bantuan agar dapat tepenuhi kebutuhannya sehingga berimbaspada pencapaian kesejahteraan dalam hidupnya. Untuk memenuhi kebutuhan tersebut, Pemprov DKIJakarta Bersama Dinas Sosial membentuk suatu program yang bernama Kartu Lansia Jakarta (KLJ).Namun, belum ada sosialisasi yang secara keseluruhan terkait program ini. Sehingga berimbas padakurangnya pemahaman masyarakat dan peserta program Kartu Lansia Jakarta (KLJ), tentang apa yangmenjadi hak dan kewajibannya. Penelitian ini dilakukan dengan tujuan untuk memperolehpemahaman yang lebih mendalam dan menyeluruh mengenai implementasi program Kartu LansiaJakarta (KLJ). Penelitian ini dilakukan dengan menggunakan metode penelitian kualitatif. Datadiperoleh dengan studi kepustakaan dan studi lapangan berupa wawancara dan dokumentasi.Pengujian kredibilitas data menggunakan teknik triangulasi sumber dan triangulasi teknik, kemudiandata-data tersebut direduksi, disajikan, dan ditarik kesimpulan. Berdasarkan hasil penelitian,sosialisasi menjadi masalah utama yang ditemukan sebab masih banyak penduduk lansia yang kurangmemahami pelaksanaan kebijakan program baik itu dari persyaratan maupun prosedur yangdilaksanakan terhadap program Kartu Lansia Jakarta (KLJ).
Kajian Vulnerability Keamanan Jaringan Internet Menggunakan Nessus
Authors: Juardi Didi
Published: March 2024

Keamanan jaringan komputer merupakan salah satu hal penting dan mendasar dalam pemanfaatan sebuah sistem. vulnerability dalam sebuah sistem jaringan komputer seringkali dikesampingkan, hingga apabila terjadi suatu ancaman /serangan logic maupun physic yang merusak pada sistem tersebut. Salah satu bentuk yang ditempuh diantaranya adalah melakukan sebuah analisis secara periodik, baik itu logic dan physic, sehingga nantinya diharapkan dari analisis tersebut menghasilkan suatu laporan audit yang berisi deteksi dari berbagai macam vulnerability yang ada, untuk kemudian diambil langkah-langkah proteksi yang tepat, yang diperlukan sebagai jaminan keamanan untuk keberlangsungan sistem tersebut. Nessus bekerja dengan memeriksa target yang anda telah anda tentukan, seperti Sekumpulan host atau bisa juga host dalam fokus tersendiri. Begitu aktivitas scan selesai, anda dapat melihat informasi hasilnya baik dalam bentuk grafikal atau baris, Interface (tampilan) grafikal Nessus dibangun dengan menggunakan Gimp Toolkit (gtk). Gtk adalah sebuah library gratis yang banyak digunakan untuk membangun interface grafikal dibawah X.
Perancangan Program Pengolahan dan Pengelolaan Data Administrasi Siswa Berbasis Desktop
Authors: Ramdhani Eka Chandra
Published: March 2024

Perkembangan ilmu pengetahuan dan teknologi kini semakin pesat. Pengolahan bidang pekerjaan yang awalnya dikelola secara manual, kini dikelola dengan hasil teknologi yang lebih efektif dan efisien. Dalam dunia pendidikan sistem informasi yang terkomputerisasi sangat dibutuhkan untuk membantu dalam proses belajar mengajar serta mengolah dan mengelola data-data yang terkait di lingkungan pendidikan seperti data nilai siswa. Untuk itulah penulis mencoba membuat penelitian mengenai perancangan dan pembuatan program pengolahan data nilai pada SDN Jomin Barat 4 Kotabaru yang belum terkomputerisasi. Pada saat ini SDN Jomin Barat IV Kotabaru masih menggunakan cara manual, yang mayoritas dalam proses pengolahan datanya seperti masih menggunakan pencatatan menggunakan kertas, sehingga memakan waktu yang cukup lama dalam pengolahan dan pengelolaan data dan tidak terlepas dari ditemukannya data yang tidak konsisten bahkan sampai hilang karena media penyimpanan yang belum tersentralisasi. Perancangan program pengolahan data nilai berbasis dekstop ini merupakan solusi yang terbaik untuk memecahkan permasalahan-permasalahan yang ada pada sekolah ini, serta dengan program pengolahan data nilai yang terkomputerisasi dapat tercapai suatu kegiatan yang efektif dan efisien dalam menunjang aktifitas pada sekolah ini, dan mengurangi kesalahan-kesalahan yang sering terjadi pada saat masih menggunakan sistem manual.
Analisis Pemanfaatan Cloud Computing Berbasis Software as a Service sebagai Media Penyimpanan Tugas Praktikum
Authors: Euis Euis , Heryana Nono
Published: March 2024

Cloud computing merupakan teknologi masa kini yang sedang hangat dibicarakan oleh pakar teknologi informasi. Cloud computing hadir sebagai resolusi dari beberapa masalah yang terjadi agar dapat meningkatkan efisiensi pada suatu perusahaan atau instansi tertentu. Banyak hal yang dapat diimplementasikan dalam cloud computing seperti layanan penyimpanan file, aplikasi dan masih banyak lagi. Laboratorium Universitas Singaperbangsa Karawang menggunakan cloud computing sebagai media penyimpanan file tugas praktikumnya. Pada penelitian ini, akan dilakukan analisis mengenai pemanfaatan cloud computing sebagai media penyimpanan file tugas praktikum di Laboratorium Universitas Singaperbangsa Karawang. Berdasarkan hasil kajian yang telah dilakukan bahwa pemanfaatan cloud computing berbasis Software as a Service sebagai media penyimpanan file tugas praktikum di Laboratorium Universitas Singaperbangsa Karawang berada pada kriteria penilaian “sangat baik” dengan persentase 81.33%.
Penerapan Algoritma C4.5 untuk Klasifikasi Tumbuh Kembang Balita
Authors: Abadi Muhamad Rizky , Defiyanti Sofi , Sulistiyowati Nina
Published: March 2024

Sejak lahir sampai dengan usia lima tahun, anak seharusnya diukur tinggi dan berat badannya secara teratur untuk mengetahui pertumbuhannya. Cara ini dapat membantu untuk mengetahui lebih awal tentang gangguan pertumbuhan, sehingga segera dapat diambil tindakan tepat secepat mungkin. Hasil pengukuran dapat mengetahui apakah seorang anak terlalu cepat bertambah pertumbuhannya dibandingkan usianya atau tidak bertambah pertumbuhannya. Algoritma C4.5 adalah salah satu metode untuk membuat decision tree berdasarkan training data yang telah disediakan. Algoritma C4.5 merupakan pengembangan dari ID3. Penelitian ini menggunakan algoritma C4.5 untuk klasifikasi tumbuh kembang balita yang akan menghasilkan Indeks Massa Tubuh menurut Umur (IMT/U) berupa kategori status gizi sangat kurus, kurus, normal, gemuk. Metode yang digunakan KDD (Knowledge Discovery in Database) menggunakan tools WEKA 3.8.2. Hasil pengolahan data akan diuji dengan test options menggunakan 10-fold cross validation yang akan menghasilkan tingkat akurasi, precision, recall, f-measure. Hasil penelitian ini menunjukkan bahwa algoritma C4.5 dengan test options menggunakan 10-fold cross validation memiliki hasil akurasi tertinggi yang didapat sebesar 90,4901%, precision 0,897, recall 0,905 dan f-measure sebesar 0,900. Hasil evalusi menghasilkan model pohon keputusan tumbuh kembang balita.
KOMPARASI ALGORITMA KLASIFIKASI NAIVE BAYES DAN K-NEAREST NEIGHBORS UNTUK PREDIKSI PENYAKIT JANTUNG
Authors: Muharrom Muhammad
Published: March 2024

Abstrak. Salah satu penyakit yang tidak menular adalah penyakit jantung namun penyakit jantung merupakan penyakit mematikan nomor satu di dunia, beberapa penelitian telah dilakukan untuk mendiagnosa pasien dengan benar namun belum diketahui metode yang paling akurat dalam memprediksi penyakit jantung. Dalam penelitian ini komparasi algoritma Naive Bayes dan k-Nearest Neighbors untuk mengetahui algoritma yang paling akurat dalam memprediksi penyakit jantung. Hasil pengujian kedua algoritma dari 4 percobaan diketahui bahwa algoritma K-Nearest Neighbors memiliki nilai akurasi rata-rata yang lebih tinggi, yaitu 89,34% dengan AUC sebesar 0.916, sedangkan algoritma Naive Bayes memiliki nilai rata-rata akurasi 86,73% dengan AUC sebesar 0.908. Dengan demikian algoritma k-Nearest Neighbors dapat memprediksi penyakit jantung dengan lebih baik dibandingkan dengan algoritma Naive Bayes
KEANEKARAGAMAN JENIS, KEPADATAN, DOMINANSI, DAN POLA PENYEBARAN ALGA MERAH DI PERAIRAN KALASEY MINAHASA SULAWESI UTARA
Authors: Gampu Try Falen D. , Kumampung Deislie R. H. , Warouw Veibe , Gerung Grevo S. , Sinjal Chatrien A. L. , Menajang Febry I. S.
Published: March 2024

The purpose of this study was to determine the species of red algae in Kalasey waters and also to determine their diversity, density, dominance, and distribution patterns. The research was conducted in November in the Kalasey Minahasa waters of North Sulawesi.This study used the quadrant transect method, in taking the sample the transect was drawn along 100m from the coastline towards the sea 3 times then the quadrants were placed on the side of the transect, each quadrant 10m apart was placed 10 times. From the use of this method, 5 species of red algae were obtained. Based on the results of data analysis, it showed that the diversity index was moderate with a value of 1.57 for the entire transect. The density index obtained from the results of data analysis with an overall transect value of 10.43. The distribution pattern index has a random distribution pattern with an overall transect value of 0.01. The overall dominance index of the transect is 1.21. The dominating species with the highest number of individuals was found in Gracilaria arcuata and the lowest number of individuals was found in Galaxaura fastigiata. The Kalasey waters area has a temperature of 33°C, a salinity of 30%o, and the degree of pH similarity obtained is 7. Based on the results of these parameters, the Kalasey waters are classified as good for the life of various types of algae.Keywords: Types of Red Algae, Kalasey WatersABSTRAKTujuan dari penelitian ini yaitu untuk mengetahui spesies alga merah yang ada di perairan Kalasey dan juga untuk mengetahui Keanekaragaman, Kepadatan, Dominansi, dan Pola Penyebarannya. Penelitian dilaksanakan pada bulan November di Perairan Kalasey Minahasa Sulawesi Utara. Penelitian ini menggunakan metode transek kuadran, pada pengambilan sampel transek ditarik sepanjang 100m dari garis pantai mengarah ke laut sebanyak 3 kali lalu kuadran diletakkan disisi Transek, setiap kuadran berjarak 10m diletakkan sebanyak 10 kali. Dari penggunaan metode tersebut diperoleh 5 spesies alga merah berdasarkan hasil dari analisis data menunjukkan bahwa indeks keanekaragaman sedang dengan nilai dari keseluruhan transek sebesar 1,57. Indeks kepadatan yang diperoleh dari hasil analisis data dengan nilai keseluruhan transek sebesar 10,43. Indeks pola penyebaran terdapat pola penyebaran acak dengan nilai keseluruhan transek sebesar 0,01. Indeks dominansi keseluruhan transek sebesar 1,21. Spesies yang mendominansi dengan jumlah individu tertinggi terdapat pada Gracilaria arcuata dan jumlah individu terendah terdapat pada Galaxaura fastigiata. Wilayah perairan Kalasey memiliki suhu 33°C, salinitas 30%o, dan derajat kesamaan pH yang diperoleh yaitu 7. Berdasarkan hasil parameter tersebut perairan Kalasey tergolong baik untuk kehidupan berbagai jenis alga.Kata kunci : Jenis Alga Merah, Perairan Kalasey
Sistem Informasi Pembelajaran Taman Pendidikan Al-Qur’an di Yayasan Al-Muttaqien Jadid (TPQ)
Authors: Rasiban  , Hanif Zuhdi , Sumabrata Raden Muhammad Jachfitrah Ardhi , Yuliansyah Ahmad Fauzan
Published: March 2024

This research aims to determine the TPA academic system currently running at Al-Muttaqien Jadid. This research is descriptive research using qualitative methods. Data collection was carried out by interviews, observation and documentation, as well as using literature studies from various sources related to the questions asked in the research. It was found that there was a problem with the TPA Academic system, including regarding student registration, class division and scheduling, which still uses the bookkeeping method, it is difficult to get information regarding student data, class data, teacher data and subject data. Apart from that, the process of class division and scheduling cannot be completed quickly due to difficulties in finding data, the number of students being placed in excess of the quota often occurs, so mistakes or mistakes often occur in recording students' grades. So that registration, payment and distribution data can be processed quickly and accurately, a web-based application is needed. By implementing this application, it can help academic processing in preparing payment reports and student registration so that the management of TKA-TPA in the data collection process makes coordination and coaching easier. From the research results, it can be concluded that registration, payment, class division and scheduling using the bookkeeping method requires quite a long time in processing data and storing data.
Auction in Impartial Games
Authors:   Department of Computer Science, University of Liverpool, United Kingdom., Rai Ravi Kant
Published: March 2024

Combinatorial game theory (CGT) is a branch of mathematics and theoretical computer science that typically studies sequential games with perfect information. We prove an importance of a tiebreaking marker related with N-position and P-position in the bidding variant of Impartial combinatorial games.
Structural Observability. Application to decompose a System with Possible Conflicts
Authors: Moya Noemi , Biswas Gautam , J. Alonso-Gonzalez Carlos , Koutsoukos Xenofon
Published: March 2024

Model based diagnosis of large continuous dynamic systems requiring quantitative simulation has a high computational cost, which can be reduced by distributing the computation. Distribution can be obtained partitioning the original diagnosis problem into the analysis of simpler subproblems. In this work, Possible Conflicts are used to partition a system because they provide a systematic way to decompose a system. How- ever, a requirement of any decomposition method is that the resulting subsystems are observable. This paper focuses on structural observability, a powerful concept because it allows analyzing the observability of a system in terms of its configuration, i.e., independently of system parameter values. However, the literature provides different definitions of structural observability, adapted to different modeling formalisms: equations, bipartite graphs and bond graphs. This paper shows that definitions for these formalisms are equivalent. The three tank system benchmark and a spring-mass system are used to illustrate the definitions and their equivalence. Then, it will be applied through Possible Conflicts to build independent subsystems that can be used for monitoring and diagnosis.
Improving data-driven prognostics by assessing predictability of features
Authors: Javed Kamran , Gouriveau Rafael , Zemouri Ryad , Zerhouni Noureddine
Published: March 2024

Within condition based maintenance (CBM), the whole aspect of prognostics is composed of various tasks from multidimensional data to remaining useful life (RUL) of the equipment. Apart from data acquisition phase, data-driven prognostics is achieved in three main steps: features extraction and selection, features prediction, and health-state classification. The main aim of this paper is to propose a way of improving existing data-driven procedure by assessing the predictability of features when selecting them. The underlying idea is that prognostics should take into account the ability of a practitioner (or its models) to perform long term predictions. A predictability measure is thereby defined and applied to temporal predictions during the learning phase, in order to reduce the set of selected features. The proposed methodology is tested on a real data set of bearings to analyze the effectiveness of the scheme. For illustration purpose, an adaptive neuro-fuzzy inference system is used as a prediction model, and classification aspect is met by the well known Fuzzy C- means algorithm. Both enable to perform RUL estimation and results appear to be improved by applying the proposed strategy.
Investigating the Effect of Damage Progression Model Choice on Prognostics Performance
Authors: Daigle Matthew , Roychoudhury Indranil , Narasimhan Sriram , Saha Sankalita , Saha Bhaskar , Goebel Kai
Published: March 2024

The success of model-based approaches to systems health management depends largely on the quality of the underlying models. In model-based prognostics, it is especially the quality of the damage progression models, i.e., the models describing how damage evolves as the system operates, that determines the accuracy and precision of remaining useful life predictions. Several common forms of these models are generally assumed in the literature but are often not supported by physical evidence or physics-based analysis. In this paper, using a centrifugal pump as a case study, we develop different damage progression models. In simulation, we investigate how model changes influence prognostics performance. Results demonstrate that, in some cases, simple damage progression models are sufficient. But, in general, the results show a clear need for damage progression models that are accurate over long time horizons under varied loading conditions.
Point processes for bearing fault detection under non-stationary operating conditions
Authors: Boškoski Pavle , Juričić Ðani
Published: March 2024

Bearing faults represent the most frequent mechanical faults in rotational machines. They are characterized by repetitive impacts between the rolling elements and the damaged surface. The time intervals between two impacts are directly related with the type and location of the surface fault. These time intervals can be elegantly analyzed within the frame- work of renewal point processes. With such an approach the fault detection and identification can be performed irrespective of the variability of rotational speed. Furthermore, we show that by analyzing the entropy of the underlying counting process by means of wavelet transform, one can perform fault detection and identification without any informa- tion about the operating conditions. The effectiveness of the approach is shown on a data-set acquired from a two–stage gearbox with various bearing faults operating under different rotational speeds and loads.
Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned
Authors: Saxena Abhinav , Celaya José R. , Roychoudhury Indranil , Saha Sankalita , Saha Bhaskar , Goebel Kai
Published: March 2024

Among various approaches for implementing prognostic algorithms data-driven algorithms are popular in the industry due to their intuitive nature and relatively fast developmental cycle. However, no matter how easy it may seem, there are several pitfalls that one must watch out for while developing a data-driven prognostic algorithm. One such pitfall is the uncertainty inherent in the system. At each processing step uncertainties get compounded and can grow beyond control in predictions if not carefully managed during the various steps of the algorithms. This paper presents analysis from our preliminary development of data-driven algorithm for predicting end of discharge of Li-ion batteries using constant load experiment data and challenges faced when applying these algorithms to randomized variable loading profile as is the case in realistic applications. Lessons learned during the development phase are presented.