bluuebunny/crossref_metadata_2025 huggingface dataset:
Du morcellement des soins à l’institution de groupes thérapeutiques : une intervention dans un centre psychothérapeutique pour adolescents psychotiques
Authors: Soula Desroche Monique
Published: March 2024

Ce sont les soignants (médecins, psychologues, infirmiers) qui ont demandé notre intervention. Le poids de l'histoire du centre (traumas et conflits anciens non traités ) avait fissuré le cadre institutionnel et fragmenté les dispositifs de soin. Cela avait une incidence en miroir sur l'état émotionnel des soignants et par suite des adolescents. Le traitement en groupe des effets du trauma chez les soignants a permis de restaurer un espace analytique et la mise en place de groupes thérapeutiques contenants pour les adolescents.
Continuité, dis-continuité «angoisse/espérance» dans l’individu et le groupe
Authors: Ancona Leonardo
Published: March 2024

Angoisse et espérance sont des variables interdépendantes, car l'une est le fond de l'autre, à la manière d’une Gestalt. Dans l'évolution physiologique, l'angoisse précède l'espérance, la réalise, tandis que dans la pathologie, il y a une désarticulation entre les deux, et ainsi l’une reste sans l'autre ; ou même l’espérance, irréelle, précède l’angoisse. Ce qui mène à la mort. Le tableau décrit différentes manifestations par le fait que angoisse et espérance se réalisent en fonction des interfaces très entremêlées de l’être humain : corps/psyché, subjectivité/sacré, individu/groupe. La clinique groupale démontre bien les désordres qui peuvent se vérifier entre angoisse et espérance.
La naissance, stade du miroir familial
Authors: Cuynet Patrice
Published: March 2024

Birth : family mirror’s stage

The family ties structure is deeply requested by a child's birth. The family rallies around it, which confirms the clan and the solidarity feeling that any group wants to defend.

But it is also the nodal time when interphantasying sets down the identification framework from which the child wild build up its identity.

This is this way, through a trans generation mirror, that the child find out the projective outline of its imaginary profile. There, the filiation heritage will take shape as the group background necessary to the personality emergence.
Optimasi Kombinasi Menu Makanan Diet Zone Menggunakan Algoritma Genetika
Authors: Yuliastuti Gusti Eka , Kurniawan Muchamad , Aditya Fernanda Putra
Published: March 2024

Diet merupakan sebuah metode untuk mengatur asupan makanan dan minuman yang masuk ke dalam tubuh guna untuk mencapai tujuan tertentu. Seiring dengan berkembangnya ilmu pengetahuan, metode untuk melakukan diet menjadi semakin bermacam-macam, salah satunya yakni Diet Zone. Diet Zone adalah sebuah metode diet yang ditemukan oleh Dr. Barry Sears dengan menerapkan rasio dari makanan yang dikonsumsi, yaitu 40% karbohidrat, 30% protein, dan 30% lemak untuk mencapai berat badan yang ideal dan sehat. Permasalahan yang sering terjadi saat menjalani diet yakni menentukan keutuhan gizi yang terkandung dalam menu makan sehari-hari. Penelitian ini bertujuan untuk mengatur kombinasi menu makan merujuk pada metode Diet Zone oleh Dr. Barry Sears. Penulis membuat sistem untuk mengoptimasi kombinasi menu makan dengan mempertimbangkan empat kandungan gizi selama tujuh hari. Adapun keempat kandungan gizi tersebut adalah karbohidrat, protein, lemak dan serat. Pada setiap kandungan gizi terdapat aturan batas maksimal atau threshold yang tidak boleh dilanggar, jika dilanggar maka akan dihitung sebagai constraint dan dapat mengurangi nilai saat akumulasi perhitungan nilai fitness. Penulis melakukan pengujian terhadap parameter Algoritma Genetika menghasilkan solusi terbaik dengan nilai fitness rata-rata sebesar 15,54 dimana ukuran populasi sebesar 70 dan generasi sejumlah 800. Salah satu contoh hasil kombinasi menu makannya yakni nasi jagung, usus ayam goreng dan chicken teriyaki.
Identifikasi Wajah Asli dan Buatan Deepfake Menggunakan Metode Convolutional Neural Network
Authors: Mu Jesselyn , Adrezo Muhammad , Haikal Ahmed Nizhan
Published: March 2024

Di era teknologi saat ini, penggunaan dari Artificial Intelligence sangat berkembang pesat. Banyak teknologi yang sudah menerapkan AI untuk menghasilkan suatu informasi. Akan tetapi, tidak semua teknologi yang diciptakan menggunakan AI membawakan dampak positif. Salah satu teknologi AI yang dapat menimbulkan dampak negatif adalah deepfake. Salah satu dampak negatif yang dapat disebabkan oleh teknologi deepfake adalah membuat wajah manusia buatan yang menyerupai wajah aslinya. Oleh karena itu, deepfake merupakan salah satu kasus yang perlu diperhatikan lebih lanjut. Penggunaan deepfake yang salah ini apabila dibiarkan dapat merugikan banyak pihak, baik untuk orang lain maupun diri sendiri. Penelitian ini dibuat dengan tujuan agar dapat membuat sebuah model bersifat kopnseptual yang dapat melakukan identifikasi pada wajah asli maupun wajah buatan deepfake. Metode yang digunakan adalah metode CNN dengan pembuatan arsitektur 6 convolutional layer dan 3 max pooling serta tambahan layer Batch Normalization. Metode CNN dipilih karena dinilai baik dalam melakukan klasifikasi suatu citra. Setelah itu, metode CNN akan ditambahkan dengan arsitektur menyerupai VGG dan layer tambahan yaitu Batch Normalization. Hasil yang didapatkan pada penelitian ini adalah model yang dibuat dapat dinyatakan berhasil untuk melakukan identifikasi wajah buatan deepfake dengan wajah asli. Hal ini dibuktikan dengan tingkat akurasi, presisi, recall, dan F1-Score sebesar 91%.
Identifikasi Kerusakan Badan Kontainer Pada Waktu Pengiriman Berdasarkan Citra CCTV Memanfaatkan YOLO dan Deep Transfer Learning
Authors: Hidayah Fitra , Kristian Yosi
Published: March 2024

Keamanan dalam operasional pelabuhan sangat ditentukan oleh kemampuan untuk mengawasi dan melindungi kontainer, yang meskipun berperan sebagai sarana utama perlindungan, masih rentan terhadap kerusakan. Rekaman CCTV di pelabuhan tidak dapat mengenali jenis kendaraan, seperti membedakan antara truk yang membawa kontainer dan yang tidak, serta tidak mampu mendeteksi kerusakan pada kontainer secara otomatis. Dalam mengatasi masalah ini, studi ini mengembangkan sebuah sistem untuk mendeteksi kontainer dan mengklasifikasikan jenis-jenis kerusakan seperti kerusakan struktural, korosi, depos, cacat pada cat, pembengkakan, serta masalah pada pintu kontainer, dengan memanfaatkan teknik machine learning. Menggunakan pendekatan Convolutional Neural Network (CNN) yang ditingkatkan dengan metode transferslearning dari DeepsConvolutional NeuralsNetworks(DCNN), penelitian ini memberikan solusi analitis untuk citra yang diperoleh. Dataset yang terdiri dari 3000 gambar kontainer sisi depan dan belakang dikategorikan secara manual melalui platform Roboflow. Model YOLOv7 yang terlatih pada dataset tersebut mampu mendeteksi kontainer dengan Skor F1 Terboboti mencapai 90%. Untuk tahap klasifikasi kerusakan kontainer, citra yang telah di-crop berdasarkan output YOLOv7 dianalisis kembali menggunakan model EfficientNetV2S dan ConvNeXtBase. Kedua model tersebut, dengan pemanfaatan transfer learning, menunjukkan performa yang dengan Weighted Average F1 Score berturut-turut sebesar 66% dan 72%. Penelitian ini membuka jalur baru untuk peningkatan keamanan dan pemeliharaan kontainer melalui penerapan model pengenalan gambar yang inovatif di lingkungan pelabuhan.
Plant Information Management System Using OSIsoft PI System: A Case Study of Cilacap Power Plant Units 1 and 2
Authors: Yudha Rahan Sukma , Setiawan Hendra
Published: March 2024

In the dynamic industrial sector, the ability to combine and manage data from various sources is essential. This study focuses on the utilization of the PI System to integrate operational data from multiple data sources at power plants, facilitating data driven decision making and enhancing operational efficiency. The application of the PI System in collecting data from Distributed Control Systems (DCS) and asset management systems like Maximo is examined, as well as its potential for integrating data from other power plant units. The study utilizes systems analysis methods to understand the potential of data integration in improving operational visibility and control. Findings from testing reveal that effective data integration can extend monitoring and management capabilities, indicating an overall improvement in operational performance. This study contributes to the literature on industrial data management by demonstrating the effective use of the PI System as a comprehensive tool for integrating data from various systems within power plants. It showcases the system's adaptability in enhancing operational decision-making and providing a cohesive platform for real-time performance monitoring. Additionally, the research offers insights into the practical application of systems analysis methods in the context of power plant operations, contributing to the ongoing discourse on digital transformation in the energy sector.
Optimizing Deep Neural Networks Using ANOVA for Web Phishing Detection
Authors: Lestari Wulan Sri , Ulina Mustika
Published: March 2024

Phishing attacks are crimes committed by sending spoofed Web URLs that appear to come from a legitimate organization in order to obtain another party's sensitive information, such as usernames, passwords, and other confidential data. The stolen information is then used to commit fraud, such as identity theft and financial fraud, and can cause reputational damage to the party that is the victim of the phishing attack. This can cause great harm to the victimized individual or organization. To overcome these problems, this research uses feature selection using ANOVA and Deep Neural Networks (DNN) to detect web phishing attacks. Feature selection is used to optimize the performance of the DNN model to achieve more accurate results. Based on the results of feature selection using ANOVA, there are 52 attributes that have a significant impact on web phishing attack detection. The next step is to implement DNN to build a web phishing attack detection model. The results of testing the web phishing detection model show that in the training phase, the accuracy value increased by 17.51% for the 80:20 dataset and 18.39% for the 70:30 dataset. During the testing phase, the accuracy value increased by 17.8% for the 80:20 dataset and 18.58% for the 70:30 dataset. The resulting recognition model shows consistent and reliable results not only during training, but also during testing in situations closer to real-world conditions. Conclusively, the use of ANOVA proves effective in mitigating less relevant features and contributing to the optimization of web phishing detection models.
Evaluation and Comparison of the Use of Reinforcement Learning Algorithms on SSH Honeypot
Authors: Kristyanto Marco Ariano , Louk Maya Hilda Lestari
Published: March 2024

A honeypot is a tool or system used to record, redirect, and even lure hackers into penetrating and exploiting a system. The increasing development of technology causes cyber hackers to realize the existence of honeypots using various other software and tools. So, honeypots need a way to learn how hackers behave. The idea proposed is to combine honeypots with reinforcement learning algorithms so that honeypots become adaptive honeypots. This study suggests the concept by comparing the two Q learning-based RL algorithms, namely DQN and DDQN, to reach which algorithm is more optimal. The study results showed that the DDQN algorithm is more optimal in determining actions when compared to the DQN algorithm because using a double Q-value can help determine the action more accurately. Based on the result, the DDQN algorithm consumed less memory than the DQN Honeypot. The learning rate curve and the processing of DDQN algorithm commands can be used as an alternative algorithm that can be combined with honeypots because of the learning rate, which can make honeypots faster in the dynamic environment.
Comparison of Web Page Rendering Methods Based on Next.js Framework Using Page Loading Time Test
Authors: Hanafi Roy , Haq Abd , Agustin Ninik
Published: March 2024

In the rapidly developing digital age, websites have become indispensable for interaction, information dissemination and transaction. To improve the performance of web applications, choosing the right rendering technology is critical. Next.js is a framework designed to overcome React's limitations in server-side rendering. This study investigates the effectiveness of Client-side Rendering (CSR), Server-side Rendering (SSR), and Static Site Generation (SSG) on the Next.js-based Filmku website using the loading time method. The study concentrates on page loading speed, complete page rendering speed, and user experience. The authentication page takes 422 ms to complete the CSR process, which is 57.41% slower than the SSG finish time of 180 ms and 34.88% slower than SSR, which completes the authentication page in 274 ms. On the Profile page, SSG completes the page rendering process much faster, taking only 524 ms, which is 25.79% faster than SSR's completion time of 706 ms and even 13.75% faster than CSR's completion time of 608 ms. The SSG rendering method completed in 1,135 ms on the main page, which is 15.93% faster than the CSR completion time of 1,350 ms and 25.57% faster than the SSR completion time of 1,525 ms. It is evident that SSG has a faster rendering speed compared to the other methods. However, it should be noted that CSR may result in slower initial page load times. SSR can provide stable rendering times, but it can also burden the server as every client request is fully processed on the server.
Analisis Pengalaman Pengguna Shopee: Evaluasi Dengan UMUX dan UMUX-Lite
Authors: Inayah Syifa' Septiana Dwi , Alda Rosalina , Adama Bintang Ahmada Farhan , Wardhana Ariq Cahya
Published: March 2024

Shopee telah menjadi pemimpin E-Commerce di Asia Tenggara dengan lebih dari 237 juta pengunjung pada bulan September 2023. Platform ini masih dihadapkan pada tantangan terkait kesesuaian desain dengan kebutuhan pengguna dan kesulitan pengguna dalam memahami aplikasi. Penelitian ini bertujuan untuk mengevaluasi desain aplikasi Shopee, dengan fokus pada pengalaman pengguna. Hasil survei menunjukkan bahwa fitur yang sering digunakan adalah memesan barang, pembelian pulsa, dan Shopee Food. Oleh karena itu, pengujian difokuskan pada tiga fitur tersebut dengan menggunakan metode evaluasi UMUX dan UMUX-Lite, yang menghasilkan wawasan kuantitatif dan kualitatif. Dengan skor UMUX 80,83 dan UMUX-Lite 80, penilaian diberikan dalam kategori B. Namun, terdapat saran perbaikan untuk Shopee Food, termasuk peningkatan desain icon dan tampilan menu, serta penyederhanaan navigasi. Perbaikan ini diharapkan dapat meningkatkan pengalaman pengguna secara keseluruhan di Platform Shopee.
Reverse-Engineering of Disinformation Campaigns During the War in Ukraine
Authors: Pitman Lora , Baratz Ava , Morgan Kelly , Alvarado Marcy
Published: March 2024

Information operations have long been a part of warfare. Disinformation campaigns, in particular, are usually launched by states in order to mislead and confuse populations in adversarial countries, but also to obtain support for their actions from domestic audiences. These campaigns threaten human security, at the individual level, but also state- and even international security. The invasion of Ukraine by Russia came with a new wave of disinformation not only in Ukraine itself, but also in countries from various other continents. This paper studies the characteristics of the spread of disinformation from the first day of the war in February 2022 through July 2023. The data we used in this study came from the EUvsDisinfo project, established by the European Union’s East StratCom Task Force in 2015. In particular, we included variables about the topic of these articles containing disinformation, the specific target audience, and origin of the source disseminating the disinformation. The results indicate that the articles concerned predominantly security-focused topics, and to a lesser extent economic and cultural issues. Interestingly, the target audience for the disinformation articles focused predominantly on non-EU/NATO audiences – they overwhelmingly targeted Russian-speaking populations, but also Arab-speaking and Armenian-speaking populations. The majority of the articles were also from Russian sources. The results also provided other additional insights into the characteristics of disinformation during the war which are discussed in the paper as well. Based our findings, we provide policy recommendations for protection against disinformation campaigns for both EU/NATO-members and countries which were affected by these campaigns but are not members of either of these organizations.
Implementation of OSINT for Improving an International Finance Sector Organization’s Cybersecurity
Authors: Rajamäki Jyri , Tiitta Krista
Published: March 2024

This work-in-progress paper addresses the need to improve intelligence processes and enhance an organization's response to cyber threats while managing associated risks and improving Business Continuity Management (BCM). The paper focuses on the role of Open-Source Intelligence (OSINT) in Cyber Threat Intelligence (CTI) gathering and presents an operational process for its implementation. The process includes defining goals, selecting open sources, data collection, filtering, analysis, and reporting. Testing in an international financial sector organization yielded positive results, demonstrating the process's value in threat intelligence. Future research should clarify the role of artificial intelligence in OSINT
Ukrainian Thoughts and Feelings based on One Year War Content Analysis
Authors: Maathuis Clara , Kerkhof Iddo
Published: March 2024

In the age of remarkable technological innovations such as AI, quantum computing, IoT, and blockchain, one could argue that the world is becoming an increasingly connected, advanced, enlightened, and peaceful place. Nevertheless, paradoxically, conflicts and wars are still born deeply rooted in complex strategic, historical, and economic dynamics, and continue to arise finding a direct representation in both physical and digital battlefields through powerful and dynamic environments like social media. This environment enabled unprecedented connectivity and ideas, thoughts, ideologies, and experiences exchange shaping the narrative, amplifying ideas, feelings, and experiences while directly addressing the underlying causes, dynamics, and implications of conflicts and war through a multifaceted and multi-nuanced approach. The outbreak and ongoing war in Ukraine took the international community off guard representing a significant turning point in the contemporary era that received immediately intensive global attention, united global humanitarian, and strategic efforts to support and help the ones in need, and reflected its geopolitical and economic global complexities, dynamics, and implications. At the same time, a high degree of disinformation and misinformation exists surrounding different aspects about this war e.g., actions taken, and impact produced on civilians, which contributes to creating an altered perspective of reality. While different conventional media and social media outlets together with research, governmental, and practitioner efforts revealed and reflected on the nature, major incidents, and their known impact on civilians and civilian objects as well as military personnel and military objects, yet limited attention and a lower voice is given through dedicated studies to thoughts and emotions of Ukrainian users in unconventional social media platforms like Telegram. This represents the knowledge gap tackled in this research by building a set of Machine Learning-based solutions for analysing the discourses and sentiments of Ukrainian users using the Design Science Research methodology in a Data Science research approach. From this analysis, reflection is provided to important days and incidents experienced by Ukrainian population since February 2022 in the first year of war.
National Critical Information Infrastructure Protection through Cybersecurity: A National Government Perspective
Authors: Mkhwanazi Thulisile Dephney , Futcher Lynn
Published: March 2024

The South African national government is forging ahead with digitalisation plans to enhance socioeconomic growth in the country. However, digitalisation is accompanied by detrimental cybersecurity risks that may potentially exacerbate the vulnerability of the National Critical Information Infrastructure (NCII) of South Africa to cyber-attacks. Therefore, the envisaged digitalisation benefits in South Africa may be offset by the increased cybersecurity risk on the NCII of the country. Through a theoretical literature review, this study aims to investigate digitalisation and identify the cybersecurity risks it poses to the National Critical Information Infrastructure of South Africa, from a national government policy perspective. A gap has been identified in Information and Communications Technology for Development (ICT4D) research studies that researchers tend to focus on the implementation of ICTs while neglecting the policy aspect that is meant to direct and control the implementation of ICTs. Therefore, this study bridges this gap by approaching digitalisation and cybersecurity from a national government policy perspective. The output of this study is a National Critical Information Infrastructure Protection (through Cybersecurity) Conceptual Framework (NCIIP-CF) that is applicable to all spheres of government (local, provincial or national) as policy makers. The NCIIP-CF demonstrates an approach that embeds cybersecurity in the digitalisation process for the national government of South Africa, thus enabling an NCII that is resilient to cybersecurity risks.
Impact of Cyber Security Operations on Hardware Requirements for Stable and Workable Industrial Environments
Authors: Simola Jussi , Takala Arttu , Lehkonen Riku , Frantti Tapio , Savola Reijo
Published: March 2024

Securing electricity distribution is one of the most important principles of the EU cyber security strategy. For example, European cyber security regulations, such as NIS2 (Network and Information Security Directive), CER (Critical Entities Resilience Directive), and Cyber Resilience Act (CRA) together aim to create a foundation and guidelines for international standards in various industries and the operation of critical infrastructure. Securing critical infrastructure is a common goal for Western operators. The new European Union (EU) directives bring new requirements to critical infrastructure administrators, device manufacturers and operators. Previously, member states have had responsibility for compliance with the directives, but they have been given freedom in the method by which they approach the requirements. Currently, member states' solutions are not always uniform, which has led to increased difficulties in coordination on a multi-national level. This, in turn, may lead to difficulties in coordination when responding to cybersecurity threats and attacks on critical infrastructure. The new regulation focuses on unifying the reporting between member states, reporting requirements of severe critical infrastructure events, and creating cybersecurity risk management procedures. In this study, we will provide a novel solution on how critical infrastructure administrators, device manufacturers, and operators may respond and become compliant with the new EU directives. To reach compliance and to enable the responsibilities that are required by the directive, the critical infrastructure devices and environment must have the capability to enable the responsible parties to identify, protect, detect, respond, and report. This sequence of actions is cyclical in nature since the identification of threats and vulnerabilities requires reports, which in turn requires data and detection. Our study focuses on the hardware requirements this causes on the manufacturing specifications, such as data collection and detection capabilities. The research belongs to the CSG project, and the purpose is to develop a governance model to minimize Operational Technology related risks and create a new standardized operating environment for the seamless utilization of energy solutions and industrial environment. The results of the study will be used in the analysis of requirements definitions in the OT environment.
Using Digital Forensics for Android Smartphone Devices to aid Criminal Investigations
Authors: Agenbag Stephanie , Henney Andre , Pieterse Heloise
Published: March 2024

In the past decade, there has been an exponential adoption and ownership of smartphones by billions of users worldwide. However, as smartphone usage increases, criminals have taken advantage of them for illicit or criminal purposes. In criminal investigations, smartphone data has become an invaluable source of information. This study focuses on constructing a snapshot of Android-operated smartphone data to assist investigators in answering critical investigative questions.  A thorough review of the literature with regard to the use of smartphone evidence in criminal cases, with the goal of emphasising the investigative phase and the supportive role of mobile data evidence in guiding investigations will be performed. In order to identify additional persons of interest and develop a thorough understanding of the case, the methodology will entail analysing user profiles, smartphone usage patterns, communication logs, application usage, geographic lookups, and device interactions. By conducting a thorough examination of relevant literature, designing a suitable model, and executing a case study, the study intends to offer valuable perspectives on the creation of timelines or visual representations derived from smartphone data. The results of this study will contribute to improving the efficacy of mobile forensics in assisting investigators and facilitating the use of Android-operated smartphone data as supporting evidence in criminal investigations.
Building Cybersecurity Capacities in Zambia’s Business Sector: Guideline for SMEs
Authors: Saar Goni , Dagada Rabelani
Published: March 2024

This research explores cybersecurity awareness and implementation within Zambia’s small and medium-sized enterprises (SMEs), a sector increasingly targeted by cyberattacks that lead to substantial financial losses. The study’s primary aim was to enhance cyber awareness and develop actionable guidelines for SMEs in Zambia. Utilising an interpretivist philosophy and inductive approach, the methodology encompassed semi-structured interviews, cross-sectional analysis, and a comprehensive review of CISA, ENISA guidelines, and Zambia’s Data Protection Act. Findings indicate a notable deficit in cybersecurity training and awareness among SMEs. Key concerns include inadequate data security measures, a lack of formal cybersecurity policies, and a reliance on basic tools like antivirus software. In response, the study formulated targeted guidelines, emphasising the integration of cyber awareness into SME governance and risk management. These guidelines have garnered significant interest from Zambian government entities, highlighting their potential influence on national cybersecurity policy. The study contributes theoretically by contextualising international cybersecurity standards within Zambia’s unique SME landscape. Methodologically, it pioneers a Cyber Awareness Framework tailored to Zambian SMEs, underscoring the critical role of human factors in cybersecurity. Practically, the research has sparked engagement among SMEs and government bodies, demonstrating its applicability and potential for shaping policy. However, limitations include reliance on outdated demographic data and a focus on digitally enabled SMEs, potentially overlooking broader IT governance aspects and less digitized businesses. Future research should aim for comprehensive, up-to-date analysis across all SME sectors, contributing to a more inclusive and resilient cybersecurity landscape in Zambia.
A Federated Distributed Digital Forensic Readiness Model for the Cloud
Authors: Koen R , Venter H.S.
Published: March 2024

Digital forensics in modern, cloud-based, microservice-based applications are complicated by multiple layers of abstraction, thereby making it difficult to accurately capture and correlate events that occur across these layers due to filtering caused by abstraction. The complexities linked to each layer of abstraction are primarily invisible to subsequent layers. Similarly, software services are often composed of one or more services provided by various service providers across the globe. Investigators are often faced with situations where breaches span over multiple service provider boundaries where not all digital forensic readiness evidence artefacts are captured by the service provider's forensic readiness processes. Instead, digital evidence artefacts are scattered across multiple service provider domains. This paper presents a novel, federated distributed digital forensic readiness model suitable for use in software-as-service, platform-as-service and infrastructure-as-service provider scenarios. The proposed model enables a service provider to capture and inspect forensic readiness artefacts in environments with various layers of abstraction. More importantly, the model also offers a way to share and access forensic readiness artefacts in a forensically sound manner to ultimately ensure that investigators can obtain a clear view of digital forensic events as they occur between amalgamated services provided by one or more separate service providers.
Cross-disciplinary AI supply chain risk assessment
Authors: Davies Gareth , Mison Angela , Ward Richard
Published: March 2024

While AI remains chip based and part of both commercial and national strategic superiority goals, it is useful to examine the security and risks associated with achieving those goals.  The future strategy rests perilously on an unstable inverted triangle of financial and economic reality. This paper presents the AI chip supply chain as an inverted triangle which base/apex is dependent on a global single supplier with the capability of producing equipment essential for their manufacture.  It highlights the dependence on a single company for the fabrication of those chips, and the security risks associated with that supplier being Taiwanese in limited foreign ownership.  It is suggested that the increasing tensions between China and the USA have resulted, in part, from this dependence, which was demonstrated by the supply chain crisis resulting from Covid-19.  The attempt to reduce this dependence led to the CHIPS and Science Act 2022, signed into law by President Biden.  In part of the inverted triangle are found Big Tech and the major Cloud Service Providers.  They vary between 60% - 80% of their market capital being in financial institutional ownership, most of which is held by a very limited number of institutions, not all of whom are publicly quoted.  To doubt the influence wielded by those financial institutions, just a single institution with major Big Tech and Cloud holdings has, at 31 December 2022, USD 8.59 trillion of assets under management.  This represents economic power and places it between the equivalent Gross Domestic Product of China (USD 19.37 trillion) and Japan (USD 4.41 trillion) the second and third entries behind the USA in the GDP rankings.  Financial institutions are market driven to achieve growth, contribute to economic stability, and are to an extent regulated by unelected vested interests and organisations. The battlefield for national supremacy of AI may concern chips, until the arrival of quantum AI.   Current Chinese economic woes are providing the momentum for pre-emptive strikes at the semiconductor industry, and an inverted triangle is neither a secure nor stable structure for a supply chain.
Quantum-Secure Signalling Model for L1/L2 Next-Gen Interconnect and Roaming Networks Over IPX for NB-IoT Traffic: A Review
Authors: Ngobeni Themba , Kabaso Boniface
Published: March 2024

Signalling security is critical for next-generation mobile (NGN) networks to ensure integrity, privacy, and confidentiality of communication protocols. However, recent research on existing 5G standards has uncovered vulnerabilities that could be exploited by emerging surveillance threats such as HiddenArt and Harvest Now Decrypt Later (HNDTL), as well as the prospect of quantum computing threatening to break classical cryptographic techniques. This systematic literature review (SLR) investigates quantum-based signalling solutions to mitigate these threats in interconnect and roaming 5G networks (IRN) over IP eXchange for Narrowband Internet of Things (NB-IoT) traffic. A database search was conducted, studies were selected and compared based on methods, approaches, techniques, and limitations. The SLR found that quantum key distribution (QKD) combined with quantum teleportation (QT) can protect and mitigate threats and attacks on signalling networks when protocols interact and interoperate in carrier networks. QKD techniques can be used for L1 protocols, while secure direct quantum communication can be used for L2 protocols. This study concludes that further studies are needed to integrate different techniques and protocols for L1/L2 signalling networks to create a robust quantum-secure signalling model for global interconnect and roaming NGN.
Blue crabs (Callinectes sapidus Rathbun, 1896): Initial Adaptation Studies (Brachyura: Portunidae)
Authors: Gencer Övgü , Özden Osman
Published: March 2024

The purpose of this study was to determine the blue crab's growth parameters and explore potential adaptations while it was kept in an earthen pond for ninety days.
After samples from October 2012 and August 2013 were analyzed, the breeding and biological characteristics of the blue crab (Callinectes sapidus Rathbun, 1896) in the South Aegean were determined. Blue crabs' adaptation to the earth pond, growth circumstances, and morphometric measuremalets using information from the literature are discussed.
The process of adaptation took a week, during which time individual blue crabs were seen to begin feeding. The Ege the University Faculty received nine units from the Pond in the Kusadasi/Güzelçamlı area that were examined in cages with 108 distinct experimaletal groups of persons out of 20 living humales.
The influence of competence and work discipline on the performance of executive staff
Authors: Hidayat Rahmat , Silviyanti Ita Herlita , Rojul Rojul , Lestari Putri Indah , Haryadi Didit
Published: March 2024

Effective management, thinking about the importance of human resources. Employee performance is an essential factor influencing success. In an organization, this is one of the most critical functions of a company. This study aims to determine the variables that affect employee performance and develop a theoretical basis and research model. This study used associative descriptive quantitative methods with a population of 39 respondents drawn into samples using non-probability sampling and saturated sampling / total sampling methods. Data analysis techniques using linear regression with the help of SPSS software version 26. The results of this study show that the first hypothesis states that competence does not significantly influence employee performance. The second hypothesis states that work discipline significantly affects employee performance. The third hypothesis is that employee performance is influenced by competence and work discipline, which can simultaneously improve employee performance. This research is expected to provide theoretical contributions to the literature in this context, certainly in the context of human resource management.
Construction analysis of predictor variables that explain labor turnover problems among millennials employees
Authors: Budhi Santosa Agus
Published: March 2024

Turnover is a problem for which no solution or prevention has yet been found, because there is no measuring tool that can be used to predict turnover. So this research aims to construct variables as predictors for analyzing the potential turnover of millennial employees, as well as testing external factors such as management systems and work environments as well as individual factors as variables that influence turnover in millennial employees. The research, which took 86 millennial employee respondents from five manufacturing companies in East Java, was measured using the General Aptitude Test Battery (GATB) and Minnesota Importance Questionnaire (MIQ) as predictors. Data analysis used descriptive statistics and testing used analysis of variance (Anava) which proves that external factors, namely job expansion and work environment, have probability values that construct external factors and influence the emergence of turnover in millennial employees, as well as probability values for individual factors that are constructed The variables of workforce agility, job satisfaction, work adjustment, and adversity questions are able to provide an optimal contribution in predicting the emergence of turnover among millennial employees after two years of work or before one year of the employment contract ends.
Relationship between work facilities and work discipline on employee performance
Authors: Malalia Irna , Oktaviani Via , Damayanti Fina , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

Effective management, thinking about the importance of human resources. Employee performance is an important factor influencing success. In an organization, this is one of the most important functions of a company. The purpose of this study is threefold: to examine the effect of work facilities on employee performance, determine the effect of work discipline on employee performance, and determine the effect of the combined effect of work facilities and work discipline on employee performance. This study used a quantitative methodology with data collection through questionnaires. This research was conducted at PT Mitsuba Indonesia Serang Branch with a population of 41 respondents. The sample of this study was determined using saturated sampling techniques. The data obtained from the questionnaire were analyzed using the IBM SPSS Version 26 software program. Research findings show no significant effect of work facilities on employee performance. These findings indicate that there are pleasant and satisfactory working conditions in employees. forherence to work discipline has been shown to have an important and beneficial impact on overall employee performance. This finding shows a positive correlation between work facilities, employee discipline, and performance. This research is expected to make theoretical contributions to the literature in the context of human resource management
Leadership effectiveness in improving employee performance
Authors: Dzikriana Syakila , Samtiarico Revany , Nahriyah Lailatul , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

Effective management, thinking about the importance of human resources. Employee performance is an important factor influencing success. In an organization, this is one of the most important functions of a company. This study aims to determine the variables that affect employee job satisfaction and develop a theoretical basis and research model. This study used an associative descriptive quantitative method with a population of 35 respondents drawn into a sample using non-probability sampling, using saturated sampling / total sampling method. Data analysis techniques using linear regression with the help of SPSS software version 26. The results of this study show that the first hypothesis states that employee performance is influenced by leadership style; the more effective the leader makes decisions, the more employee performance increases. The second hypothesis states that communication shows no significant effect on employee performance. The third hypothesis is that employee performance is influenced by employee leadership and communication styles that can simultaneously improve employee performance. This research is expected to provide theoretical contributions to the literature in this context, certainly in the context of human resource management
System of stunting information centre development using waterfall method
Authors: Paradise Paradise , Amrustian Muhammad Afrizal
Published: March 2024

Stunting is a condition in which the development and growth of children are stunted due to malnutrition. In Indonesia, 21.6% of the approximately 300 million stunting cases still exist. In an endeavour to combat stunting, the Indonesian government is holding posyandu at the lowest levels of government. Despite these efforts, a significant number of parents do not receive information about stunting. Therefore, this study will develop a web-based information application about stunting. The application is developed using the cascade methodology. The conclusion of this analysis was that the waterfall methodology is still applicable for small development teams. The application can then provide information on child development and malnutrition at any time.
Somut Kültürel Miras Alanlarında Takip, İzleme, Tespit, Müdahale Konularına İlişkin Bibliyometrik Analiz
Authors: Çerkez Rabia Seher , Halaç Hicran Hanım
Published: March 2024

İnsanoğlu; yaşadığı dönemi sosyal yapısıyla, ekonomisiyle, teknolojisiyle, sanatıyla etkilemekte ve kendi kültürünü oluşturmaktadır. İnsanların barınma ihtiyaçları da bu kültür çevresinde oluşmakta ve dönem içi modernizm bu kültür çevresinde korunmaktadır. Bu çalışma, kültürel miras alanlarının sürekliliğini sağlamaya kaynaklık eden tezlerin, bibliyometrik analizler ile sayısal verilere aktarılması ve sayısal veriler ışığında bu alan üzerinde yapılacak araştırmalarda ön bilgi oluşturması amaçlamaktadır. Bibliyometrik analiz ile bölgesel takip sistemini oluşturmada kullanılacak yöntemlerin belirlenmesini, örneklem alan ilinin veya ülkesinin belirlenmesini, anahtar kelime sıklığının belirlenmesini kapsamaktadır. Kültürel miras alanlarında tarihi yapılı çevreyi ifade edebilmek için “tarihi yapı, tarihi doku, kültürel miras, mimari miras, tarihi alan, tarihi çevre” olmak üzere 6 ana anahtar kelime grubu belirlenmiştir ve bu anahtar kelime grupları “izleme, takip, müdahale, tespit” kelimeleri ile sınırlandırılarak araştırma alanı daraltılmıştır. Tarama sonucunda bu araştırma ile yakın ilişkisi olmayan çalışmalar ve yinelemeler çıkartılarak 466 teze ulaşılmıştır. 466 Tez içerisinden araştırma alanı olarak en çok İstanbul ili tercih edilmiş ve bu alan hakkında en çok tez 2019 yılında yayımlanmıştır. En fazla tekrarlanan anahtar kelimenin “koruma” olduğu tespit edilmiştir. Buradan hareketle araştırmaya ve takibe en çok ihtiyaç duyulan ilin İstanbul olması, korunmaya değer yapıların fazla olduğunu göstermekle beraber aynı hassasiyetin her ilde gösterilmesi gerektiğini de vurgulamaktadır. Bu araştırma gelecekte kültürel miras alanında sistematik koruma yaklaşımının oluşturulmasına zemin hazırlayacaktır. Sistematik koruma yaklaşımı ile yapı sürekli takip edilecek ve yapıya zamanında müdahaleler yapılarak yapının onarımı ve korunumu kolaylaşacaktır.
Koordinasi Pemerintahan Dalam Penanggulangan Gelandangan Dan Pengemis Di Kabupaten Karawang
Authors: Widyaning Ratni Qonita , Priyanti Evi
Published: March 2024

Penelitian ini membahas mengenai Koordinasi Pemerintahan dalam Penanggulangan Gelandangan dan Pengemis di Kabupaten Karawang. Dengan meningkatnya jumlah gelandangan dan pengemis tiap tahun, maka diperlukan adanya penanggulangan. Oleh karena itu, Dinas Sosial Kabupaten Karawang dan Satpol PP Kabupaten Karawang melakukan koordinasi untuk melakukan penanggulangan gelandangan dan pengemis di Kabupaten Karawang. Tujuan penelitian ini adalah untuk mengetahui bagaimana Koordinasi Pemerintahan dalam Penanggulangan Gelandangan dan Pengemis di Kabupaten Karawang. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa Koordinasi Pemerintahan dalam Penanggulangan Gelandangan dan Pengemis di Kabupaten Karawang belum optimal. Hal tersebut dapat dilihat dari faktor pembagian kerja dan disiplin. Dalam hal ini, Satpol PP Kabupaten Karawang dalam melakukan penertiban gelandangan dan pengemis perlu adanya evaluasi kembali serta terbatasnya sumber daya manusia dan anggaran yang dimiliki oleh Dinas Sosial Kabupaten Karawang dan Satpol PP Kabupaten Karawang, sehingga mempengaruhi pelaksanaan dari penanggulangan gelandangan pengemis di Kabupaten Karawang.
Pemikiran Politik Islam Dari Revivalis, Liberal, Dan Substansi
Authors: Argenti Gili
Published: March 2024

Relasi antara Islam dengan politik  tidak tunggal, pemikiran politik Islam terbagi ke dalam tiga varian besar, yaitu revivalis, liberal, dan substansi. Ketiganya memiliki tokoh pemikir sekaligus pengikut.  Artikel ini bertujuan menjelaskan konsep pemikiran politik Islam dari para ilmuwan Islam dari masa ke masa, sehingga kita memahami keragaman serta perbedaan pemikirannya. Pengumpulan data dalam artikel ini menggunakan metode studi kepustakaan. Hasil penelitian memperlihatkan semua pemikir Islam konsen menjadikan negara sebagai pusat kajian, tetapi mereka memilki perbedaan mengenai bentuk kenegaraan. Terdapat varian pemikiran Islam politik ketika melihar relasi antara agama dengan negara.  Pemikiran revivalis memiliki kayakinan Islam merupakan agama yang sempurna termasuk dalam kehidupan bernegara. Pemikiran liberal bahwa Islam sebatas agama mengatur aspek spiritual, tidak boleh ikut campur tangan mengurusi kenegaraan. Pemikiran substansi Islam menyediakan pandangan-pandangan etis bagi pengaturan masyarakat dan negara, tetapi menolak formalisme Islam dalam kenegaraan.
Patologi Pelayanan Administrasi Kependudukan di Desa Kalensari Kecamatan Compreng Kabupaten Subang
Authors: Ramadhan Muhammad Syahru , Purnamasari Hanny
Published: March 2024

Pemerintah desa memiliki tanggung jawab penting untuk memberikan layanan prima kepada masyarakat di segala bidang, termasuk dalam bidang administrasi kependudukan. Salah satu masalah yang muncul dalam patologi pelayanan administrasi kependudukan di Desa Kalensari adalah penyalahgunaan wewenang dan jabatan oleh pegawai desa serta kinerja yang kurang produktif. Peneliti menggunakan desktiptif kualitatif. Hasil penelitian menunjukkan bahwa masalah pelayanan administrasi kependudukan disebabkan oleh persepsi dan gaya manajemen pejabat di lingkungan birokrasi, penyalahgunaan wewenang dan jabatan oleh kepala desa yang terlihat dalam pemilihan anggota staf desa. Hasil penelitian menunjukkan bahwa patologi yang disebabkan oleh kurangnya atau rendahnya pengetahuan dan keterampilan petugas pelaksana berbagai kegiatan operasional masih menyebabkan lamanya waktu pelayanan
E-Kuesioner Pengukuran Kepuasan Pelanggan dengan Customer Satisfaction Index dan Importance Performance Analysis Berbasis Web
Authors: Prayitno Edi
Published: March 2024

Kepuasan adalah tingkat perasaan seorang setelah membandingkan kinerja/hasil yang dirasakan dengan harapannya PT Indotech Metal Nusantara merupakan perusahaan dalam bidang metal stamping, Namun pelayanan terhadap pelanggan masih memiliki kekurangan yang dapat mempengaruhi loyalitas pelanggan. PT Indotech Metal Nusantara perlu menyejajarkan langkah dalam penggunaan teknologi dengan memanfaatkan media web. mengoptimalkan perancangan sistem berbasis web yang lebih berfokus pada proses kuesioner pengukuran kepuasan pelanggan, tujuan dari pengukuran kepuasan pelanggan yaitu untuk membangun sistem pengukuran kepuasan pelanggan berbasis web, membantu PT Indotech Metal Nusantara khususnya Staff Sales dan Marketing dalam pengukuran kepuasan pelanggan, mengurangi keterlambatan waktu dalam pengisian kuesioner kepuasan pelanggan, mempermudah dalam pencarian data pengukuran kepuasan pelanggan serta mempermudah pengontrolan dalam pengukuran kepuasan pelanggan. Penelitian ini menggunakan metode Customer Satisfaction Index untuk mengukur tingkat kepuasan pelanggan dari tiap pelanggan. Kemudian dilanjutkan dengan mengukur atribut-atribut kepuasan pelanggan dengan menggunakan Important Performance Analysis. Adapun dalam permodelan sistem menggunakan SDLC Waterfall. Dari penelitian ini dihasilkan persentase dari tiap-tiap kepuasan pelanggan per pelanggan serta hasil kuadran dari seluruh pengukuran kepuasan pelanggan.