bluuebunny/crossref_metadata_2025 huggingface dataset:
L’interprétation psychanalytique
Authors: Resnik Salomon
Published: March 2024

La interpretacion en psicoanalisis.

En este artículo el autor desarrolla aspectos tecnicos y clmicos que corresponden a la relación entre transferencia psicoanalítica e interpretación. La contribución de Strachey es esencial para investigar los problemas que conciernen la situacion y la comunicación entre el paciente y su psicoanalista. Trato de examinar, dando exemptes clínicos de contextos psicoanalíticos individuates y grupales, el sentido y el significado de la interpretación en Freud y en sus succesores. Siguiendo los trabajos de Susan Isaacs, planteo tes peligros de la interpretación «sauvage», fuera de el «timing», por te tanto inadecuada y a veces incompleta. El objeto de este trabajo es estimular la investigación en el campo psicoanalitico individual y grupal y profundizar la comprension del discurso inconsciente tal cual apa rece en la relación transferencial y la posibilidad de una lectura interpretativa cautelosa y operativa.
Observation d’un groupe mères/bébés en service hospitalier de maternité. Maternité et prévention
Authors: Ciccone Albert
Published: March 2024

L’auteur témoigne d’une expérience de travail psychologique et psychanalytique dans un service hospitalier de maternité. Il décrit et analyse deux thématiques : les effets de dépression maternelle et les craintes de jalousie fraternelle, que génère l’arrivée d’un bébé dans une famille. Il souligne la nécessité d’un travail de prévention, et rend compte d’un dispositif particulier d’écoute et de travail psychique : le groupe mères/bébés. Il en précise l’efficacité, la pertinence et les limites.

L’auteur propose une observation très détaillée d’un groupe mères/bébés, et dégage la façon dont le groupe, entre autres par le travail associatif qui s’y réalise, donne un étayage à l’élaboration de l’expérience de maternité, et ainsi à la prévention de certains de ses risques.
Démence et groupe : les limites à l’œuvre
Authors: Luesma Sylvie
Published: March 2024

Demencia y Grupo : los límites operantes.

La autora se interroga sobre el lugar central de la intersubjetividad, a partir del siguiente postulado : la demencia de un sujeto anciano procede de la categoria de los trastornos de las actividades de relacion, por deficiencia del proceso de apoyo, por efraccion y derrumbamiento de los sistemas que estructuran los límites (R. Kaës). En este artículo se trata de reflexionar sobre los juegos de construcciones posibles, entre la demencia y el grupo considerado terapéutico. Este camino està asociado al trabajo del grupo en sus potencialidades de poner en juego la crisis, para una elaboracion «après-coup»; de como el grupo favorece en los pacientes desorganizados en su grupalidad interna y externa, la redefinicion de sus limites, de los vinculos intersubjetivos y de susfunciones principales.
Travail avec les représentants spatiaux et architecturaux dans les groupes de jeunes enfants autistes et psychotiques
Authors: Haag Geneviève
Published: March 2024

Trabajo con los representantes espaciales y arquitecturales en los grupos de niños pequeños autissras y psicóticos.

En éste articulo se sostiene y demuestra la existencia de un nivel primitivo de representación nombrado «representantes arquitecturales y geométricos» : percepción de formas geométricas construidas en el juego primitivo de los vínculos pulsionales, afectivos e identificatorios que construyen el Yo corporal en una simbolización primaria y que se proyectan sobre la geometria de las formas arquitecturales y mobiliares. La ilustración de éste nivel de representación se muestra en el marco del material de grupo de pequenos ninos autistas y psicóticos deficitarios.
Le groupe de psychodrame analytique : un espace de jeu pour penser le changement
Authors: Minazio Nicole
Published: March 2024

El grupo de psicodrama analítico : un espacio de juego para pensar el cambio.

El tiempo de la adolescencia, particularmente marcado por la dialéctica de la permanencia y del cambio, es un tiempo de crisis cuyos efectos pueden generar movimientos de integración y de desintegración de la vida psíquica. Integración, si un entomo enmarcador puede acojer las manifestaciones a veces extremamente dolorosas de esas crisis, moldeando las angustias y dándoles forma y sentido. El espacio-tiempo del psicodrama parece particularmente propicio al desarrollo del juego, armado para la dialéctica identificatoria. El juego es simultané amente experiencia y simbolización, experiencia para simbolizar.
Analyse de l’institution et changement
Authors: Rouchy Jean-Claude
Published: March 2024

Institution, Analysis and Change.

Change is a process that concerns at the same time individuals, groups and the system of organization. In our perspective, change in the structure of an organization remains inoperative without the evolution of its members. And conversely, evolution of the members of an organization must be accompanied by change at the level of structure. This leads to the definition of an analytic conception of structures and to distinguishing the organization from the institution. To distinguish instituting values and organized systems allows them not to be seen as a «natural» state and therefore immutable, situated outside time, that is, not being subject to variations, modifications, change.
Le contre-transfert en jeu dans l’analyse de groupe
Authors: Falguière Jacqueline
Published: March 2024

La contra transferencia en juego en el anàlisis de grupo

El autor trata de explicitar, como lo subraya su critico Joseph Villier, las concepciones de la contra transferencia que pueden aclarar ciertos movimientos inconscientes particularmente marcados por la repetición y que ponen en escena dinàmicas de pareja en el proceso analitico de grupo. Se aborda también la cuestión del dominio en sus relaciones a la contra transferencia del analista y a las modalidades de su fîncionamiento psíquico en el grupo.
Du «tautisme au poème». Cheminements de la parole dans un travail de psychothérapie psychanalytique en situation groupale
Authors: Aymard Alain
Published: March 2024

L’auteur interroge ce que parler veut dire dans un groupe de parole à visée thérapeutique. Comment s’y joue l’opposition des paroles de l'emprise aux paroles de l'étayage. Il examine différentes configurations communicationnelles, en particulier, aux deux extrêmes de l'oscillation, l'opposition entre «tautisme» et «poème». Des hypothèses sont proposées concernant :

— le jeu des résistances ;

— une co-identification basée sur la prise de conscience des effets de la privation du parler juste ;

— la sublimation au croisement du destin de la parole et de la pulsion.

Du «lieu perdu» au «lieu présent», du «lieu d'où l'on vient» au «lieu où l’on va», les cheminements d’élucidation et de libération se conjuguent et se fondent à cet acheminement d'une parole qui refuse de rester support d’une «faute d'exister» et se porte vers l'appréhension du Bien à être.
La subversion de l’autorité dans l’institution scolaire
Authors: Roquefort Georges
Published: March 2024

The denial of Teachers’ Authority in Schools

The declining authority of teachers in schools is ascribed to unconscious processes. The author looked for the causes of this decline in the psychic and basically hierarchical aspects of authority. According to him, today’s educationalists tend to establish narcissistic relationships with their pupils, thereby encouraging learners to reject any form of obligation and distorting their relationship to knowledge. Egalitarian ideologies tend to encourage the emergence of pedophilia-oriented fantasies which abet these processes.
Cohésion et fragmentation dans le groupe psychanalytique
Authors: Corrente Giorgio
Published: March 2024

Nous présentons dans ce travail les problématiques qui concernent les concepts de cohésion et de fragmentation. On cherche à montrer, à travers la clinique psychanalytique, qu’il est important de focaliser l’oscillation entre ces deux états mentaux, chez l’individu dans le groupe, abandonnant une perspective linéaire où «l’on part de la fragmentation pour arriver à la cohésion». Dans ce parcours, nous utiliserons aussi d’autres concepts importants tels que la fonction γ (gamma) du groupe, et l’oscillation entre les positions schizoparanoïdes et dépressives.
De l’incorporation à l’introjection dans un groupe psychothérapeutique de préadolescents
Authors: Chapellière Hervé
Published: March 2024

De la incorporación a la introyección en un grupo psicoterapéutico de pre-adolescentes

A través de la historia de un grupo psicoterapéutico de pre-adolescentes, descubriremos como puede operarse el paso entre incorporación e introyección. Veremos notablemente que una de las dimensiones terapéuticas para el grupo se actualiza en una nueva flexibilidad que concierne al juego entre los movimientos de incorporación, de excorporación, de identificación proyectiva, de proyección y de introyección, dinàmica que lleva a posibilidades identificatorias entre niños, pero igualmente entre niños y terapéutas.
COVID-19 Pandemisinin Üniversite Öğrencilerinin Yaşam Alışkanlıkları Değişimi Üzerine Yansımaları: Meslek Yüksekokulu Örneği
Authors: Sarı Canan , Demirbağ Birsel Canan
Published: March 2024

Giriş ve Amaç: Bu çalışma ile COVID-19 pandemi sürecinde sağlık alanında eğitim alan öğrencilerin yaşam alışkanlıkları değişimi ve etkileyen faktörlerin belirlenmesi amaçlanmıştır.

Gereç ve Yöntemler: Çalışma tanımlayıcı tipte, 1 Mayıs - 20 Haziran 2021 tarihleri arasında sağlık alanında önlisans eğitimi gören 310 öğrenci ile yürütüldü. Çalışma verileri “Katılımcı Soru Formu” kullanılarak toplandı. Tanımlayıcı verilerin analizinde sayı (n), yüzde (%), ortalama ve standart sapma; kategorik değişkenlerin karşılaştırılmasında ki kare testi kullanıldı.

Bulgular: Katılımcıların yaş ortalaması 20.17+3.80, %70.3’ü kadın, %51.6’si ikinci sınıf, %25.8’i fizyoterapi, %26.2’si yaşlı bakımı bölümü öğrencisi, %21’inin ise COVID-19 geçirdiği belirlendi. Katılımcıların bu süreçte %56.1’inin pandemi öncesine göre kilo artışının olduğu, %44.8’inin gece yemek yeme davranışının, %41.3’ü aburcubur/şekerleme tükettiği öğün sayısının arttığı saptandı. Katılımcıların COVID-19’dan korunmak amacıyla etkili olduğunu düşünerek %71.9’unun C vitamini, % 62.9’unun D vitamini, %75.2’sinin turşu, %69.4’ünün bal/pekmez ve %64.4’ünün sarımsak soğan tüketiminin arttığı belirlendi. Pandemi sürecinde katılımcıların %35.1’inin sigara, %38.5’inin alkol, %56’sının televizyon, %47.6’sının bilgisayar ve %79.9’unun ise telefon/tablet kullanımının arttığı, %42.3’ünün uykuya dalış süresinin uzadığı belirlendi. Çalışma ile %81.1 ev temizliğinde sulandırılmış çamaşır suyu kullanıldığı, %84.8 evini iki saatte bir havalandırıldığı, %82.9 diğer insanlarla tokalaşmanın sınırlandırıldığı belirlendi. Katılımcıların COVID-19 enfeksiyonu geçirme durumu ile beslenme düzeni, egzersiz, sigara ve alkol tüketimi, uyku, televizyon/sosyal medyada geçirilen süre ile temizlik alışkanlıkları değişimi arasında istatistiksel olarak anlamlı farklılık saptanmadı (p>0.05).

Sonuç: Bu çalışmada pandemi sürecinde öğrencilerin beslenme, egzersiz, uyku düzeni, sosyal medya kullanımı ve hijyen alışkanlıklarının değiştiği; COVID-19 enfeksiyonu geçirmenin yaşam alışkanlıkları değişiminde etkili olmadığı belirlenmiştir.
Dahiliye ve Cerrahi Hemşirelerinin Etik Tutumlarının İncelenmesi: Bir Üniversite Hastanesi Örneği
Authors: Güneş Ayfer , Gökce Işıklı Ayşe , Soydaş Duygu
Published: March 2024

Amaç: Bu araştırmanın amacı, bir üniversite hastanesinin dahiliye ve cerrahi servislerinde çalışan hemşirelerin, hemşirelik bakımındaki etik tutumlarını belirlemektir.

Gereç ve Yöntem: Kesitsel nitelikte olan bu araştırma, Eylül - Ekim 2021 tarihleri arasında, bir üniversite hastanesinde çalışan 156 gönüllü hemşire ile yapıldı. Veriler “Hemşire Tanıtım Formu” ve “Hemşirelik Bakımında Etik Tutum Ölçeği” kullanılarak toplandı. Araştırma için etik kurul ve kurum izinleri alındı. Verilerin analizi SPSS 20.0 programında tanımlayıcı analizler ve Mann Whitney U kullanıldı.

Bulgular: Hemşirelerin %52,6’sının dahiliye servislerinde çalıştığı, %64.7’sinin lisans eğitimi aldığı, birlikte yaşadığı kişilerin %73.1’inin

COVID-19 tanısı aldığı, %75’inin COVID-19 tanılı hastalara bakım verdiği belirlendi. Hemşirelerin %26.3’ü COVID-19 tanısı aldığını, tanı alanların %58.5’i bulaş kaynağının hastane ortamı olduğunu belirtti. Araştırmada Hemşirelik Bakımında Etik Tutum Ölçeği puan ortalaması 157.28 ± 13.31 (Ölçekten alınabilecek puan aralığı: 34-170) olarak bulundu. COVID-19 tanısı alan hastalara bakım vermeyen hemşirelerin etik tutumlarının, bakım verenlere göre, anlamlı düzeyde yüksek olduğu belirlendi (p < 0.05). Diğer değişkenlerin hemşirelik bakımında tutumu etkilemediği (p > 0.05), ayrıca yaş ve çalışma süresi ile tutum düzeyleri arasında bir ilişki olmadığı (p > 0.05) saptandı.

Sonuç: COVID-19 pandemi döneminde yapılan bu araştırmada hemşirelerin bakımda etik tutumlarının olumlu olduğu ve COVID-19 tanılı hastalara bakım vermenin etik tutumlarını olumsuz etkilediği belirlendi. Bu araştırmanın sonuçlarına göre, özellikle COVID-19 hastalarına bakım veren hemşirelerin, hemşirelik bakımında etik tutumlarının geliştirilmesi için, girişimlerde bulunulması önerilmektedir.
Pengenalan Aktivitas Manusia Dalam Ruangan Dengan Convolutional Neural Networks
Authors: Lina  , Augustine Michelle , Stephen Richard , Salim Lorico
Published: March 2024

Kemajuan teknologi yang telah berkembang sangat pesat dapat membantu pekerjaan manusia dalam berbagai bidang. Salah satu kegiatan yang dapat diotomatisasi adalah aktivitas pengawasan kegiatan manusia dalam sebuah ruangan, misalnya bagi lansia ataupun orang cacat. Umumnya kegiatan pengawasan membutuhkan tenaga manusia untuk memantau kejadian dan aktivitas di lokasi tertentu secara live maupun direkam melalui kamera CCTV. Dengan perkembangan teknologi, seluruh kegiatan pengenalan terhadap aktivitas manusia dapat dilakukan secara otomatis. Sistem dapat mengenali aktivitas duduk, berdiri, belajar, mengangkat tangan, serta bertepuk tangan. Sistem dibuat dengan menggunakan metode Convolutional Neural Network (CNN). Eksperimen akan dilakukan dengan data uji yang berasal dari internet maupun rekaman video yang dilakukan oleh tim di lapangan. Hasil eksperimen menunjukkan bahwa sistem yang dikembangkan dapat mengenali aktivitas manusia dengan nilai akurasi sebesar 86,65% untuk data uji dari internet dan 96% untuk data uji dari IP camera yang terpasang pada sebuah lokasi. Selain itu, sistem juga dapat menghasilkan sebuah rangkuman catatan aktivitas terhadap seluruh kegiatan yang terjadi di dalam lokasi tersebut pada kisaran waktu yang ditetapkan.
Penggunaan Latent Dirichlet Allocation (LDA) dan Support-Vector Machine (SVM) Untuk Menganalisis Sentimen Berdasarkan Aspek Dalam Ulasan Aplikasi EdLink
Authors: Kustiyahningsih Yeni , Permana Yohan
Published: March 2024

EdLink merupakan salah satu platform mobile berbasis Android yang telah dirancang khusus untuk mendukung pengalaman belajar di dunia pendidikan. Platform ini menawarkan berbagai fitur konten pembelajaran interaktif, tugas online, dan diskusi. EdLink telah menjadi salah satu aplikasi yang banyak diminati dan digunakan di berbagai instansi pendidikan, termasuk perguruan tinggi. Aplikasi EdLink saat ini memiliki rating 3,7 di Google Play Store. Banyak pengguna mengeluhkan berbagai aspek, seperti fitur yang kurang lengkap, pelayanan, dan kinerja. Dalam penelitian ini, digunakan analisis sentimen berbasis aspek untuk mengevaluasi aplikasi. Data ulasan yang digunakan adalah seluruh ulasan aplikasi EdLink di Google Play Store dari versi 1.1.6 hingga 4.7.8, dengan jumlah 2014 ulasan. Penelitian ini dilakukan dengan pemodelan topik Latent Dirichlet Allocation (LDA) dengan tujuan untuk menentukan aspek serta analisis sentimen menggunakan Support Vector Machine (SVM) dengan pendekatan Lexicon Based. Penelitian ini menghasilkan tiga aspek utama, yaitu Application Usability, Reliability, dan Performance Efficiency. Berdasarkan model LDA menghasilkan skor koherensi tertinggi 0,487 dan berdasarkan distribusi jumlah topik dan skor koherensi tertinggi dari num topic 1-10 adalah 3. Kemudian, labeling Lexicon Based menghasilkan 418 jumlah ulasan positif dan 1.223 ulasan negatif. Selanjutnya, klasifikasi SVM dengan rasio pembagian data 90:10 menghasilkan akurasi tertinggi 85,45% kemudian dilakukan resampling dengan hasil akurasi tertinggi 90,00% menggunakan SMOTE. Berdasarkan aspek dan sentimen dihasilkan 319 ulasan negatif dan 127 ulasan positif untuk aspek Usability, 482 ulasan negatif, dan 120 ulasan positif untuk aspek Reliability, serta 422 ulasan negatif dan 171 ulasan positif untuk aspek Performance Efficiency.
Anomaly Detection for the MIL-STD-1553B Multiplex Data Bus Using an LSTM Autoencoder
Authors: Lachine Brian , Harlow Alec , Roberge Vincent
Published: March 2024

Due to the modernization of commercial and military aircraft, real-time systems and their connectivity to ground based networks, including the Internet, that were thought to be “air-gapped”, are becoming more susceptible to cyber-attack. Most real-time systems that communicate using the Military Standard 1553B Multiplex data bus (MIL-STD-1553B) protocol do not have the ability to detect cyber-attacks. These systems were originally developed with safety and redundancy in mind, not security. These two factors introduce attack vectors to MIL-STD-1553B communication buses and expose associated avionics systems to exploitation. Recent approaches to anomaly detection for the MIL-STD-1553B data bus have leveraged statistical analysis, Markov Chain modelling, remote terminal fingerprinting and signature-based detection. However, their comparative effectiveness is unknown. Regarding the statistical analysis technique, the lack of accuracy and precision in detecting the start and stop time of anomalous events are not ideal for conducting investigations due to the sheer volume of messages still required to be manually analysed. Deep learning techniques offer an effective means of anomaly detection and applying these techniques to the MIL-STD-1553B data bus could provide more accurate and precise detection times when anomalies or attacks are present, when compared to known statistical analysis, leading to more efficient forensic investigations of anomalous events.
Past and Present Russian Information Operations in Ukraine: Competition into Conflict
Authors: Defibaugh Stephen
Published: March 2024

Sovereign nation-states seek to ensure the survival and advancement of national goals through cooperation, competition, and conflict.  This paper explores the use of irregular warfare prior to and during the transition from competition to conflict as an international tool to assert control over public narratives.  This stratagem has been made an increasingly effective tool through means of the Internet.  Informational warfare is not a new concept, however, the precedent of operations in the information environment in concert with operations in the physical realm have started to take shape in the struggle between Ukraine and Russia over the past several decades.  The visualization of the competition continuum model allows us to examine events and understand how actions taken in the cyber realm effect an informational narrative, and not simply be portrayed as a method of simple attack and defense.
An Ontology of Cyberspace as a Basis for Decision-making in Cyberoperations
Authors: Alexander Grandin
Published: March 2024

In the cyberoperations community there is a commonly accepted starting point for describing cyberspace as comprising of multiple planes through which information flows. However, the model is not a tool that facilitates planning and executing cyberoperations. Tools do exist in the form of technical cybersecurity ontologies. At the moment the link between technical ontologies, that are the tools of experts, and the operational planning process is limited. These technical ontologies provide automated information that would support operational planning. At the moment cybersecurity experts translate the information that military professionals need, which may cause insufficiencies or distortions in communication or cause inconsistencies in the planning process.  This paper presents the ongoing work of developing a model of cyberspace in the form of a core ontology. The ontology describes the flow of digital information between persons and the enabling technology as well as geographical data. It is intended as a tool that supports operational planning and decision-making in and through cyberspace, by enabling automation and reasoning. The model is created using the well-established Constructive Research Approach (CRA) methodology, and is developed on earlier research. CRA consists of six phases in which (1) the problem is defined, (2) an understanding of the topic is generated, (3) a solution (model) is constructed which then is (4) demonstrated. Then the models (5) theoretical connections are presented and the (6) scope of applicability is assessed. The challenges of developing an ontology of cyberspace as part of the third phase of the methodology are in focus. The ontology serves as an operational core ontology, aiming to link cybersecurity domain ontologies to the DOLCE+DnS Ultralite (DUL) foundational ontology. The ontology is based on research in Cyberspace Geography and Cyber Terrain. No earlier attempts at creating a core ontology of cyberspace grounded in a foundational ontology, based on these concepts, were found. Overall, the use of reference ontologies in cyberspace research is scarce and few are grounded in a foundational ontology. The starting point for the ontology is a model of cyberspace comprising of six layers, which are the 1) geographic layer, 2) physical network layer, 3) logical network layer, 4) socio-organizational layer, 5) virtual persona layer and finally the 6) persona layer. The model was complemented with levels describing action and information and partially excluded the outer levels 1 and 6, which were directly linked to the DUL foundational ontology.
Metaverse: Virtual Currencies as a Mechanism for Employee Engagement and Retention
Authors: Robertson Shelley , Baror Stacey , Venter Hein
Published: March 2024

Virtual currencies, including cryptocurrencies and non-fungible tokens (NFT’s), are increasingly used as rewards in virtual environments. Traditional reward systems have been effective in improving employee satisfaction and retention but with the shift to hybrid or remote work post-COVID-19, organisations need adapted reward systems. However, the problem of this research is that it’s unclear how virtual currencies can be effectively utilised as a reward system, in the Metaverse, and their impact on employee motivation and engagement. This study explores this by reviewing literature, analysing reward mechanisms, and proposing a conceptual model to evaluate the feasibility of such a reward system. The study considers factors like social comparison and loss aversion as well as rewards known to boost motivation and engagement. The flexibility of virtual currencies for conversion or exchange into rewards offers numerous possibilities, with specific reward choices left to organisations’ discretion. This study offers promise to organisations seeking to retain and motivate their employees, ultimately contributing to increased productivity. In turn, employees can benefit from improved job satisfaction and reduced work-related pressures. The study’s conclusion assesses the usefulness of this research and outlines potential areas for future research.
Bahrun Naim’s Hacking Manifesto: How A Historical Model of Cyber Threat Mischaracterization Helps Us Diffuse a Dead Cyberterrorist Influencer
Authors: Pappa Tim
Published: March 2024

The late Bahrun Naim is generally considered one of the most recognizable names of historical Indonesian cyber terrorist actors, where he continues to be characterized as a “computer guru” and hacker who supported Indonesian extremist and Islamic State hacking.  This paper is the first reexamination of Naim’s lengthy e-book manifesto chapters on hacking, finding that most of the tutorial demonstrations on hacking tools readers might believe Naim performed were screen shots of other online content that Naim appeared to have plagiarized.  This practitioner’s paper suggests that Naim is a historical model of cyber threat mischaracterization, questioning who Naim was signaling with his hacking manifesto and why so many audiences including cyber threat analysts may have been influenced by reports on him.  This paper evaluates Naim’s native and researched technical knowledge based on his manifesto, suggesting the perception of Naim’s native technical knowledge may have been embellished.  This paper offers a conceptual interdisciplinary model for practitioners and researchers evaluating cyberterrorists’ technical pedigrees and social environments.  This model can also be applied to countering the range of cyber warfare including narrative warfare conducted by cyberterrorists, often revealing shortcomings in the mythos of cyberterrorists’ influence and technical skills.
Using Blockchain to Secure Digital Identity and Privacy Across Digital Sectors
Authors: Gopal Jaynill , Omeleze-Baror Stacey
Published: March 2024

In the digital age digital data has been seen as the new currency for both companies and bad actors,leading to mismanagement of personal data by both entities. This mismanagement could lead to personal databeing breached while this may prove to be beneficial to certain entities, this however is not the case for usersand digital citizens. In recent years there has been an influx in data breaches and data mismanagement casesthroughout various industries, including corporations such as Apple and Facebook, involving critical datarelating to user's digital identities, personal data, and other identifiable information. This issue may beaddressed by employing the use of blockchain technology, a technology that has been recognized as a securesystem promoting security and privacy, we can prevent this mismanagement of data and data breaches fromhappening. While blockchain is a relatively new technology, there is potential to use it in the current age of theinternet and digital identities by employing blockchain technology to secure one’s digital identity. This researchaims to propose a potential solution to the issue of data protection and data breaches by proposing andmaking use of a conceptual model which makes use of a multi-level blockchain system. The system isolatesdata from digital identities between various digital platforms to minimize the amount of data breaches thatmay occur – further minimizing the amount of personal data which may be breached. This system allows theuser to have full control over who may access their private data, while preventing bad actors from accessingthe data without the user’s authorization. The multi-level blockchain splits the user's data according toindustrial or digital sector in which their data is used, with a master blockchain acting as the connecting link toa person's digital identity. Making use of this multi-level blockchain allows for the user to control who hasaccess to their data, while remaining anonymous and secure in a digital platform‘s database or digital storage.
On The Zero-Trust Intranet Certification Problem
Authors: Botha-Badenhorst Danielle , McDonald André Martin , Barbour Graham David , Buckinjohn Ethan , Gertenbach Wian
Published: March 2024

Securing corporate networks and ensuring the trustworthiness of network resources are critical security concerns for organisations in today's interconnected digital landscape. The zero-trust security model is an approach to designing and implementing ICT systems which prescribes that clients and servers cannot be trusted automatically, even when connected to networks traditionally considered trusted. The implementation of the zero-trust model within the corporate intranet requires a secure method to verify the identity of local servers. On the Internet, trust in the identity of public servers is established by well-known public Certificate Authorities (CAs), which issue digital certificates to securely identify servers. However, local intranet servers exist within the internal address space of the network. Consequently, it is impossible to naturally obtain digital certificates for these servers, validly signed by a public CA, without publicly disclosing sensitive information such as intranet server Domain Name System (DNS) records. This leaves organisations with the option of relying on endpoint management systems to install custom CA root certificates on all corporate browsers or, in some cases, ignoring the problem altogether.
In this paper, we draw on practical experience in the deployment of cybersecurity devices in corporate intranets to formally define the intranet certification problem. We specify five requirements that a solution to this problem must satisfy. We then conduct a comprehensive review of existing candidate solutions and academic research relevant to the intranet certification problem. Specifically, existing ICT systems for public key infrastructure and endpoint management are identified and evaluated with respect to their ability to meet the stated requirements for solving the intranet certification problem, as well as their cost. Our study reveals that solutions that meet the technical and security requirements of the intranet certification problem are beyond the reach of smaller private sector companies and public sector organisations in underdeveloped and emerging economies. The high cost and technical expertise required for their implementation and management render these solutions impractical. Consequently, by relying on servers with self-signed certificates, these entities inadvertently leave their servers susceptible to impersonation, information theft, and unauthorised resource access, thus violating the fundamental principles of the zero-trust model. We conclude that a gap exists for a simple, cost-effective, and easily managed solution to the intranet certification problem.
Cybercrime Classification: A Victimology-based approach
Authors: Mandal Sayonnha
Published: March 2024

The need for understanding cybercrime and the possibility of its occurrence is significant to mitigate its adverse effects on society. A comprehensive universally agreed-upon classification scheme for cybercrime is hugely lacking in terms of utilizing a complete perspective of the entities involved in the same. A new perspective in cybercrime classification is moving beyond the machines and focusing on the humans, especially the victims. Cyber victimization extends from the single user to a mass or system perspective, thereby representing governments, organizations, and society to be categorized as victims. This paper proposes a novel ontological classification of cyber victimology that can help illustrate the complete cybercrime incident from the perspective of the victim. We utilize a multidimensional typology to represent the dimensions and classifications of the cybercrime victim. We then analyse the semantic relationships between the ontological objects to develop a comprehensive victimology representation. The understanding of the type and role of the victim provides new insight into the analysis of the cyber incident. Moreover, the resultant representation can serve as an extension to current cybercrime ontological frameworks and help in providing a new point of defence in cybercrime incidents. Finally, such a victimology-based classification can subsequently result in a dynamic ontology which can be queried to obtain relevant insights into the nature and occurrence of cybercrimes.
Empirical study on improving teacher performance with organizational culture and compensation
Authors: Ulum Bachrul , Nawawi Nawawi , Aldiansyah Agung , Haryadi Didit
Published: March 2024

Organizations can achieve success through their resources, especially human resources. Therefore, employees become the driving force in making a real contribution to the organization's success on an ongoing basis. This study aims to determine the variables that affect teacher performance and develop a theoretical basis and research model. This study used the associative descriptive quantitative method with a population of 37 respondents drawn into samples using non-probability sampling using 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 is that organizational culture affects teacher performance. Thus, the second hypothesis states that teacher performance is affected by compensation, meaning that the more appropriate the prize, the more teacher performance increases. The third hypothesis is that teacher performance is influenced by organizational culture and balance that can simultaneously improve teacher performance. This research is expected to make theoretical contributions to the literature in this context, certainly in the context of human resource management.
Is compensation and work environment a trigger for job satisfaction? Empirical Study on CV Saba Footwear Tangerang
Authors: Kurniawati Tati , Suranah Suranah , Rahmawati Novita , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

Job satisfaction is the feeling that every employee has about pleasure in their job, which is obtained from job evaluations—effective management thinking about the importance of human resources. Employee job satisfaction 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 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 states that employee job satisfaction cannot be affected by compensation because compensation has been in line with employee expectations. The second hypothesis states that the work environment influences employee job satisfaction. The third hypothesis is that employee performance is influenced by employee compensation and work environment, which can simultaneously increase employee job satisfaction. This research is expected to provide theoretical contributions to the literature in this context, certainly in the context of human resource management
Optimization of the work environment and observance of work discipline in improving employee performance
Authors: Andriyani Desi , Muspiroh Sinta , Aini Siti Nurul , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

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 performance and develop a theoretical basis and research model. This study used the associative descriptive quantitative method with a population of 36 respondents drawn into samples using non-probability sampling using 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 of the work environment has a significant effect on employee performance. Thus, the second hypothesis states that work discipline significantly influences employee performance. The third hypothesis is that employee performance is influenced by the work environment and work discipline, which can simultaneously improve and accelerate the improvement of employee performance. This research is expected to make theoretical contributions to the literature in this context, certainly in the context of human resource management.
Operating costs and profitability to company value
Authors: Yuliana Shella , Fatmala Emah , Adiansyah Nola Putri , Haryadi Didit , Wahyudi Wahyudi
Published: March 2024

Increasing economic growth makes competition tighter in the business world, especially in the food and beverage business. This study investigates the interaction between operational costs, profitability, and company value in Indonesia's food and beverage sector. The aim is to gain insight into how these factors interact and affect the overall value of companies in the Indonesian region. This analysis uses quantitative methods based on financial data and relevant metrics for a sample of Food and Beverages companies operating in Indonesia, as many as 24 companies, with purposive sampling techniques of 17 companies sampled for 2020 – 2022. This study examines the relationship between firm cost, profitability, and value through statistical analysis and linear regression modelling techniques with SPSS version 26. The results showed that operational expenses had a significant effect on the value of the company. Profitability has a substantial impact on the value of the company. Then, operating costs and profitability have a considerable effect on the value of the company. The findings contribute to the existing literature on company valuations by providing empirical evidence specific to Indonesia's Food and Beverages sector. The research has implications for policymakers, investors, and managers, as it offers valuable insights into the factors that drive corporate value in the industry, helping stakeholders make decisions and strategies to improve performance and competitiveness. Provide benefits in the context of financial management.
BENTUK DAN KEKHUSUSAN IBU KOTA NEGARA NUSANTARA DALAM NEGARA KESATUAN REPUBLIK INDONESIA
Authors: Nugroho Doni
Published: March 2024

Lahirnya Undang-Undang Nomor 3 Tahun 2022 Tentang Ibu Kota Negara merupakan langkah nyata dalam pemindahan IKN dari DKI Jakarta ke Panajam Paser Utara Kalimantan Timur. IKN diberi nama Nusantara dikarenakan ekonik dan sudah dikenal dunia internasional. IKN Nusantara akan menjadi klaster ekonomi baru di indonesia. tujuan dari penelitian ini adalah ingin mengetahui bentuk dan kekhususan IKN Nusantara dalam NKRI. Penelitian ini menggunakan deskriptif kualitatif dengan pendekatan literature riview atau studi pustaka.

Hasil penelitian adalah IKN Nusantara diberikan kekhususan guna untuk memberikan kemudahan dalam berusaha. Oleh karena itu penggunaaan kepala otoritas ibu kota Nusantara ini merupakan jalan yang dilakukan oleh pemerintah guna mempercepat pembuatan ijin dan investasi. Selain itu, tidak adanya DPRD dalam IKN Nusantara merupakan lemahnya pengawasan dalam IKN Nusantara. Kemudian, sumber dana dalam pembangunan IKN Nusantara yang mayoritas dari investasi dalam negeri ataupun asing sehingga IKN Nusantara menciptakan klaster ekonomi baru di NKRI. Oleh karenanya pembangunan IKN Nusantara jangan sampai hanya keinginan belaka tanpa memperhatikan aspek yang lainnya.
Implementasi Nilai Pancasila Sebagai Landasan Moral Dalam Membangun Karakter Generasi Muda Indonesia di Era Globalisasi
Authors: Oktarina Soraya , Ahmad Fajri
Published: March 2024

Pancasila merupakan landasan dan acuan moral bagi bangsa Indonesia dalam membangun watak dan karakter masyarakat di era globalisasi. Salah satu tantangan terbesar globalisasi adalah bagaimana mempertahankan nilai-nilai moral kearifan lokal Bangsa Indonesia, khususnya bagi generasi muda. Mahasiswa bagian dari generasi muda rentan akan dampak negatif globalisasi. Namun saat ini, Pancasila kurang diimplementasikan terutama dalam aktivitas-aktivitas mahasiswa, sehingga dikhawatirkan kurangnya bekal dan ketahanan mereka dalam mengahadapi ancaman globalisasi. Hal ini kian memberikan ancaman dekadansi dan pergerseran nilai moral generasi bangsa Indonesia. Metode Penelitian ini bersifat kualitatif deskriptif, dengan teknik studi literatur yang diperoleh dari berbagai sumber buku, jurnal, dan berita media massa. Hasil dari penelitian menggambarkan bahwa implementasi pemahaman dan penerapan nilai-nilai Pancasila menjadi salah satu jalan keluar dalam upaya membentuk karakter generasi bangsa, khususnya bagi mahasiswa. Implementasi lima nilai moral Pancasila dapat dijadikan landasan dasar dan alat filter agar mahasiswa penerus bangsa tidak semakin kehilangan jati diri.
Implementasi Kebijakan Penyelenggaraan Pendidikan Karakter Melalui Profil Pelajar Pancasila di SMPN Negeri 1 Rajapolah Kabupaten Tasikmalaya
Authors: Rindra Mulya Fauzi Alfi , Vestikowati Endah , Husni Taufiq Otong
Published: March 2024

Penelitian ini dilatarbelakangi oleh adanya persoalan dalam implementasi kebijakan tentang penyelenggaran pendidikan karakter melalui profil pelajar Pancasila di SMPN 1 Rajapolah Kabupaten Tasikmalaya. Adapun tujuan penelitian ini adalah untuk menganalisis dan mengetahui bagaimana implementasi kebijakan tentang penyelenggaran pendidikan karakter melalui profil pelajar Pancasila di SMPN 1 Rajapolah Kabupaten Tasikmalaya. Metode penelitian yang digunakan ialah deskriptif melalui pendekatan kualitatif, dengan menggunakan data primer dan sekunder dengan jumlah informan sebanyak 10 orang yang ditentukan dengan cara purposive sampling. Teknik pengumpulan data dilakukan dengan cara observasi partisipan, wawancara mendalam dan dokumentasi. Adapun teori yang digunakan adalah teori Van Metter & Van Horn (1975) dalam (Agustino, 2022) yang disebut sebagai A Model of the Policy Implementation Process yang berisi variabe ukuran dan tujuan kebijakan, sumber daya, karakteristik agen pelaksana, sikap atau kecenderungan (disposition) para pelaksana, komunikasi antar-organisasi terkait dan kegiatan-kegiatan pelaksanaan, dan lingkungan sosial, ekonomi, dan politik. Teknik analisis/pengolahan data dilakukan melalui reduksi data, sajian data, dan penarikan simpulan/verifikasi data. Hasil penelitian menunjukkan bahwa implementasi kebijakan tentang penyelenggaran pendidikan karakter melalui profil pelajar Pancasila di Sekolah Menengah Pertama Negeri 1 Rajapolah Kabupaten Tasikmalaya belum sepenuhnya berjalan dengan baik. Hal ini dibuktikan dengan adanya permasalahan pada semua dimensi/variabel tersebut
Penerapan Deep Learning Pada Kamera Pengawas Jalan Raya Dalam Mendeteksi Kecelakaan
Authors: Triana Heru , Enri Ultach
Published: March 2024

Kecelakaan dalam lalu lintas adalah suatu perkara yang tidak bisa dianggap sepele. Kecelakaan dapat menimbulkan banyak korban jiwa dan kerugian yang besar. Bahkan Indonesia menjadi penyumbang angka kematian terbesar di ASEAN. Untuk mencegah korban jiwa saat kecelakaan terjadi, dapat dicegah dengan memberikan pertolongan pertama dan menghubungi pihak rumah sakit terdekat untuk segera mendapatkan perawatan medis. Untuk itu, dibutuhkan sebuah terobosan untuk membuat sebuah sistem pendeteksi kecelakaan. Untuk itu, penggunaan metode deep learning dan algoritma convolutional neural network dalam membuat model klasifikasi yang dapat mendeteksi kecelakaan adalah pilihan tepat karena dapat menghasilkan model dengan akurasi yang tinggi dan dapat mendeteksi kecelakaan, yang nantinya model tersebut dapat diimplementasikan pada kamera pengawas karena dengan kamera pengawas tersebut kita dapat mendeteksi kecelakaan terjadi dan secara otomatis memberikan pesan darurat ke pihak rumah sakit. Dalam penelitian ini, model dievaluasi menggunakan akurasi dan categorical cross entropy dan mendapatkan akurasi pelatihan sebesar 0, 9393 dengan loss pelatihan sebesar 0, 3228 dan akurasi validasi sebesar 0, 9080 dan loss validasi sebesar 0, 4166 yang berarti sudah layak digunakan untuk mendeteksi kecelakaan yang terjadi. Setelah model dievaluasi dan mendapatkan evaluasi yang cocok, baru model dapat diekspor dan diimplementasikan kedalam kamera pengawas.
Penerapan Synthetic Minority Oversampling Technique (SMOTE) untuk Imbalance Class pada Data Text Menggunakan kNN
Authors: Maula Chamzah Sultan , Lestandy Merinda , Kasan Nur , Nugraha Adhi
Published: March 2024

Tokopedia merupakan salah satu penyedia online marketplace di Indonesia yang memfasilitasi pengguna internet untuk melakukan jual beli secara online. Tokopedia mendapatkan jumlah pengunjung website maupun aplikasi rata-rata 147,79 juta per bulan. Meski memiliki pengguna yang banyak, tentu saja dalam sebuah aplikasi memiliki kekurangan dan kelebihan. Hal tersebut disampaikan oleh pengguna melalui review atau ulasan yang terdapat pada Google Play Store. Pada ulasan tersebut terlihat bahwa pengguna yang memberikan ulasan rating bintang 5 lebih banyak daripada pengguna memberikan rating bintang 1. Synthetic Minority Oversampling Technique atau SMOTE merupakan metode yang populer diterapkan dalam rangka menangani ketidakseimbangan kelas. Penelitian ini bertujuan untuk mengetahui performa dari algoritma K-Nearest Neighbor dalam menangani imbalance class menggunakan Synthetic Minority Oversampling Technique (SMOTE). Penelitian ini menggunakan 5000 data yang terdiri dari 3975 data negatif dan 1025 data positif. Dari 5000 data dibagi menjadi dua bagian, 70% data latih dan 30% data uji. Metode SMOTE-kNN menunjukkan hasil akurasi yang lebih baik yaitu sebesar 90% dibandingkan hanya menggunakan kNN dengan nilai akurasi 82%.
Deteksi Lahan Pertanian Yang Terdampak Hama Tikus Menggunakan Yolo v5
Authors: Ahmad Baihaqi Kiki , Zonyfar Candra
Published: March 2024

Rats are one of the pests that cause damage that can be seen by the naked eye, where the damage is in the form of poor growth and development of rice plants [1]. Because the shoots of rice or the fruit are eaten and damaged. In addition, rice plants are the staple food of the Indonesian people from the upper to the lower classes[2], Karawang Regency is the largest contributor to food availability in West Java with data obtained from the agricultural office, the total area of ​​rice fields amounted to 95,906 hectares in 2016 [3]. The number is likely to continue to decrease along with the conversion of land, which is one of the factors for the decline in rice production. With the development of digital image processing technology, a system can be made to detect affected or unaffected rice fields. So that farmers can calculate the yield of their rice harvest in the future. The results of the research using CNN in Yolo v5, from 260 photo data taken from the drone were divided into 230 datasets and 30 testing data. Which is then obtained an accuracy of 88% on average. An error occurs if the testing data uses rice plants that have just started to bear fruit because usually the growth and development of fruit does not coincide, causing it to almost resemble rice plants affected by rat pests.
Implementasi Algoritma Logistic Regression Untuk Klasifikasi Penyakit Stroke
Authors: Suhliyyah Suhliyyah , Hikmayanti  Handayani Hanny , Ahmad Baihaqi Kiki
Published: March 2024

Stroke menyebabkan kerusakan pada bagian otak yang muncul secara mendadak akibat dari gangguan peredaran darah non traumatik. Gangguan tersebut dapat menimbulkan gejala antara lain kelumpuhan seisi wajah atau anggota badan, bicara tidak jelas, bicara tidak lancar, gangguan penglihatan dan perubahan kesadaran. Penyakit stroke merupakan penyakit yang menjadi penyebab kematian nomor tiga tertinggi di indonesia setelah penyakit kanker dan jantung. Di indonesia, jumlah kasus dan prevalensi stroke belum diketahui secara jelas. Diperkirakan 500.000 penduduk terkena stroke setiap tahunnya, sekitar 2,5% atau 12.500 orang meninggal dunia dan sisanya mengalami cacat ringan. Hampir setiap hari, atau minimal rata-rata tiga hari sekali ada seseorang penduduk indonesia baik tua maupun muda meninggal dunia karena serangan penyakit stroke. Penelitian ini dibuat menggunakan metode Confusion matrix dan pengujian menggunakan algoritma Logistic Regression, penelitian ini dilakukan dengan pengumpulan data dan hasil analisis untuk meningkatkan akurasi, berdasarkan variabel berpengaruh meliputi jenis kelamin, hipertensi, penyakit jantung, kadar gula darah, berat badan dan status merokok. Berdasarkan hasil pengumpulan data yang telah dilakukan sebanyak 4981 data diperoleh hasil akurasi sebesar 94%.