bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF THE INFLUENCE OF BUSINESS INTELLIGENCE ON BEVERAGE SALES KONNICHIWA COFFEE USING THE METHOD EQUIVALENCE CLASS TRANSFORMATION
Authors: Satria Leonard Vincent , Ayunda Afifah Trista
Published: January 2024

Konnichiwa Coffee shop is one of the business beverage that sells various types of drinks. Determination of price discounts or product promotions sometimes doesn’t match what customers wants and needs. Another obstacle found was that there were no promotions for consumers who bought directly at Konnichiwa Coffee outlets. This causes less than optimal sales strategies and store promotion strategies. Determining menus that are often purchased simultaneously by consumers can be a reference for owners in determining promotional strategies. Therefore, this research was conducted to look for association patterns between menus that can implement business intelligence (BI) in the association rules method. One of the association rules algorithms is the ECLAT algorithm. The ECLAT algorithm is used because it is more efficient and faster in terms of time. The data used in this research were 214 products from 100 transactions with 26 types of drink menus. The resulting pattern refers to a minimum support value of 3% and a minimum confidence of 30%. This means that transaction data that has association patterns or that were purchased together is only 3% of the total transaction data with a confidence level of 30%. From the results obtained, the Java Latte, Kopi Latte and Sapporo Latte menus are the menus that are most often purchased together so they can be used as a marketing strategy for Konnichiwa Coffee.
REAL TIME ONLINE EXAM PROCTORING SYSTEM IN HIGHER EDUCATION USING WEBRTC TECHNOLOGY
Authors: Maoeretz Engel Mychael , Agustinus Jeems Terri
Published: January 2024

The low level of trust in online exam results from students is a major problem because it is difficult to monitor whether test takers are taking the exam honestly according to their own abilities. Even though it has been assisted by the presence of video conferencing applications such as Zoom, Google Meet, Cisco Webex and similar applications, online exam proctoring is still unable to run effectively. Cheating in online exams, such as using dual monitors, is very possible for exam participants. Therefore, as a future preventive measure in the online exam process, a system is needed that can accommodate this concern. This research will create an online exam supervision system with WebRTC technology which has features to accommodate real-time supervision. The System Development Life Cycle method will be used in software development with 5 main stages, namely Requirement Analysis, Design, Development, Testing, and Maintenance. Implementation of the system was carried out during the online examination process for a class at one of the universities in Surabaya. Finally, the test results show that features such as: Live Proctoring get a score of 4.5; Attention Alert gets a score of 5; Exam Lock scored 4.5; Live Alert scored 4.5; and Tab & Window Detection got a score of 4; shows that this system has succeeded in providing a solution in online exam proctoring needs.
TEXT CLASSIFICATION USING INDOBERT FINE-TUNING MODELING WITH CONVOLUTIONAL NEURAL NETWORK AND BI-LSTM
Authors: Zevana Alda , Riana Dwiza
Published: January 2024

The technological advancements in goods delivery facilities have been increasing year by year in tandem with the growing online trade, which necessitates delivery services to fulfill the transactional process between sellers and buyers. Since 2000, top brand awards have often conducted official survey analyses to provide comparisons of goods or services, one of which includes delivery services. However, the survey rankings based on public opinion are less accurate due to users of delivery services and service companies being unaware of the specific success factors and weaknesses in their services. The aim of this research is to analyze the comparison of text mining using the Indonesian language transformation method, IndoBert. The algorithm utilized to demonstrate analysis performance employs Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (Bi-LSTM). This method is utilized to determine the impact of opinion data from Twitter on the J&T Express expedition delivery service, incorporating both text preprocessing and data without text preprocessing. The IndoBert parameters vary in the learning rate section based on four factors: price, time, returns, and others. The research data consisted of 2525 comments from Twitter users regarding the delivery service spanning from January 1, 2021, to March 31, 2023. The testing showed that Bi-LSTM with text preprocessing performed 2% higher, achieving 79% at a learning rate of 1x10-6, compared to without text preprocessing at the same learning rate, which reached 77%. Additionally, CNN outperformed by 3% with a rate of 83%, compared to 80% without text preprocessing at a learning rate of 1x10-5. The highest accuracy, reaching 83%, was obtained by CNN with parameters set at 1x10-5, and the preprocessing technique was considered superior to Bi-LSTM.
CLASSIFICATION OF RICE QUALITY LEVELS BASED ON COLOR AND SHAPE FEATURES USING ARTIFICIAL NEURAL NETWORK BASED ON DIGITAL IMAGE PROCESSING
Authors: Asnidar Asnidar , Perdana Am Akbar Mabrur , Ilham Muhammad Ryan , Kaswar Andi Baso , Andayani Dyah Darma
Published: January 2024

Rice is the staple food of most Indonesians. In identifying the quality of rice, it can be seen from physical characteristics such as the color and shape of rice, because these characteristics can make an object can be identified properly and clearly. In general, what is done in determining the quality of rice by looking at its color and shape. But usually the human eye in identifying objects is sometimes less accurate which is influenced by several factors, such as age. So, several studies were conducted that tried to solve the problem by using digital image processing. However, the accuracy results obtained are still not accurate, because the datasets used in the previous study were relatively small, namely around 80 images, although the average level of accuracy obtained was quite high, but the number of datasets used was very small so that the level of accuracy was still inaccurate. Therefore, in this study, it is proposed that the title of classification of rice quality levels using JST based on digital image processing which divides rice into 3 classifications, namely, good, good enough, and not good where in this study using 330 digital images to produce a more accurate level of accuracy. In this study, there are several stages, namely, image retrieval, preprocessing, segmentation, morphological, feature extraction, and classification using artificial neural networks. Based on the research conducted, training accuracy was produced with an average accuracy of 98,75% while the test accuracy was produced with an average accuracy of 98,89%.
EFFECTIVENESS OF SECURITY THROUGH OBSCURITY METHODS TO AVOID WEB APPLICATION VULNERABILITY SCANNERS
Authors: Kurniawan Azis , Ramli Kalamullah
Published: January 2024

The concept of security through obscurity is not recommended by the National Institute of Standards and Technology (NIST) as a form of system security. Basically this concept hides assets as difficult as possible so that it is not easy for attackers to find them, so that it can be used to avoid vulnerability scanner applications that are widely used by attackers to find out web system weaknesses. This research was conducted by modifying the web application firewall (WAF) and testing using the SQLMap and OWASP Zed Attack Proxy (ZAP) vulnerability scanner applications. The results of the study show that SQLMap takes up to 1238 times longer to complete a scan on a modified web application firewall than without modification, while OWASP ZAP cannot complete a scan on the same treatment. Thus the concept of security through obscurity can be applied to web security to extend vulnerability scanning time.
Mikrostrip Dual-wideband Bandpass Filter menggunakan Stub Loaded Resonator
Authors: Yudiansyah Yudiansyah
Published: January 2024

Beberapa penelitian tentang desain BPF (bandpass filter) seringkali memiliki masalah dengan struktur yang kompleks dan rumit, serta lebar pita yang sempit. Pada penelitian ini, filter BPF dirancang menggunakan stub loaded Resonator dengan bentuk yang lebih sederhana dan koefisien transmisi yang baik. Lengan stub diatur untuk menghasilkan nilai TZ (Transmission zero). Perubahan nilai TZ dapat menggeser nilai frekuensi tengah maupun lebar pita yang diinginkan. Perangkat lunak yang digunakan adalah Advanced Design System. Filter ini menggunakan substrat dengan nilai permitivitas dielektrik 4,3 dengan tebal 1,6 mm dan loss tangent 0,0265. Hasil simulasi menunjukkan nilai insertion loss pada frekuensi 1 GHz & 3 GHz masing-masing sebesar -0,2 dB dan -0,8 dB. Kemudian return loss pada frekuensi kerja 1 GHz & 3 GHz masing-masing diperoleh -30,7 dB dan -31,2 dB. Kemudian pada rentang frekuensi kerja 500Mhz – 1,6 GHz dengan frekuensi tengah 1 GHz diperoleh nilai FBW sebesar 104%. Kemudian pada rentang frekuensi 2,2 GHz – 3,7 GHz atau dengan nilai FBW 51% pada frekuensi tengah 2,9 GHz.
Model Deteksi Botnet Menggunakan Algoritma Decision Tree Dengan Untuk Mengidentifikasi Serangan Click Fraud
Authors: Firdaus Rafli , Hadiana Asep Id , Kasyidi Fatan
Published: January 2024

Malicious Software (Malware) merupakan program yang dibuat khusus untuk merugikan orang lain. Salah satunya Botnet, di mana Botnet dapat menginfeksi perangkat komputer serta membuat komputer tersebut sebagai suatu alat yang nantinya akan dikendalikan secara paksa oleh pemilik dari program Malware tersebut. Botnet sendiri dapat melakukan serangan Click Fraud untuk melakukan Fake Clicks terhadap iklan yang bersifat Pay Per Click. Botnet dengan serangan Click Fraud memiliki pola tingkah laku yang dapat diklasifikasikan dengan menggunakan Dataset CTU-13. Sehingga Flow Traffic dari Botnet yang melakukan serangan Click Fraud akan dapat terdeteksi dengan menggunakan algoritma CART dengan menggunakan teknik SMOTE untuk melakukan Oversampling dan teknik Random Undersampling untuk menangati ketidakseimbangan sebaran data untuk setiap kelasnya. Dengan menggunakan rasio Undersampling yaitu 50% dan terdapat 2 skenario untuk penggunaan teknik SMOTE, yaitu sebelum dan setelah data dibagi menjadi data latih dan data uji. Berdasarkan dari hasil penelitian yang telah dilakukan dapat disimpulkan bahwa dengan penggunaan teknik SMOTE dan Random Undersampling dalam kasus untuk pendeteksian Botnet yang melakukan serangan Click Fraud sebelum membagi dataset menjadi data latih dan data uji dapat meningkatkan akurasi ataupun kinerja dari model tersebut dengan mencapai tingkat akurasi sebesar 99.97%. Dan Nilai F-Score dari model yang menggunakan SMOTE dan Random Undersampling adalah 99.96%.
Ulang Limbah Air Menjadi Air Bersih untuk Siram Tanaman Berbasis IoT
Authors: Royhan Muhamad Muhamad
Published: January 2024

Air merupakan bahan  untuk mandi, membersihkan peralatan , wudlu. Air bekas  untuk membersihan merupakan limbah. Air limbah dari aktivitas tersebut dibuang melalui saluran ke sungai. Aktifitas dengan menggunakan air dilakukakan setiap hari dan terus dibuang. Air limbah mengandung detergen, lumpur, debu, minyak goreng. Jika limbah air langsung dibuang ke  sungai menyebabkan polusi. Tanda polusi air adalah air warna putih, berbusa, bau. Air limbah di Institut Teknologi Telkom Jakarta sebelum dibuang ke sungai dilakuan penyaringan dengan tujuan menyaring detergen, minyak goreng, sisa makanan. Penyaringan dilakukan dengan bahan serabut kelapa, batu, karbon. Air yang sudah disaring dan bersih ditampung di tabung air (tandon air). Dari tabung menggunakan pompa listrik  dapat digunakan untuk menyiram tumbuhan dan rumput serta bunga. Pelaksanaan penelitian mengacu SNI 3981 dan SNI 6774. Dengan memanfaatkan Internet of Things, dapat membantu untuk memonitoring kondisi air pada tabung penampung air. Untuk memonitoring dapat memanfaatkan media perangkat bergerak dengan membuat aplikasi mobile.
Validasi Antena Offset Reflektor
Authors: Rahman Dzul , Quzwain Kamelia , Rizka Nadia Media
Published: January 2024

Dalam sistem komunikasi seluler Fifth-Generation (5G)  terdapat subjek teknik yang baru seperti millimeter wave, ukuran sel yang kecil, dan multibeam di stasiun pangkalan yang akan diperkenalkan terkait dengan teknologi gelombang radio. Antena offset reflektor dapat digunakan pada aplikasi millimeter wave karena mampu menghasilkan gain yang tinggi. Projek ini menjelaskan pembuatan antena offset dual-reflector dengan menggunakan teknik shaping. Model antena offset reflektor berhasil didesain dengan menggunakan pemograman MATLAB. Untuk memvalidasi program MATLAB tersebut, simulasi dengan menggunakan software FEKO juga telah dilakukan. Berdasarkan hasil simulasi FEKO, antena offset dual-reflector mampu menghasilkan gain sebesar 37.7 dBi. Ini membuktikan bahwa konsep shaping untuk offset reflektor serta program MATLAB di projek ini berjalan dengan baik dan benar.
Perancangan Sistem Pengambilan Keputusan (SPK) Menggunakan Metode Profile Matching Untuk Penilaian Pegawai Pada ITTelkom Jakarta
Authors: Yansyah Ilham Roni , Muftikhali Qilbaaini Effendi , Angresti Nisa Dwi
Published: January 2024

IT Telkom Jakarta merupakan perguruan tinggi swasta di bawah naungan Yayasan Pendidikan Telkom, bertransformasi dari Akademik Teknik Telekomunikasi Sandhy Putra Jakarta atau dikenal dengan nama Akademi Telkom Jakarta (Akatel). Pihaknya terus berupaya meningkatkan kualitas internal dengan tujuan supaya mampu ikut bersaing bersama perguruan tinggi lain. Yaitu dengan mencoba salah satu upaya dengan mengevaluasi kinerja pegawai ITTelkom Jakarta. Saat ini, ITTelkom Jakarta masih melakukan evaluasi subjektif untuk menilai karyawan mana yang berkinerja baik, buruk, atau sangat buruk. Oleh karena itu, diperlukan sistem evaluasi dan pemantauan yang akurat, jujur, dan objektif yang dapat memotivasi karyawan demi meningkatkan produktivitas kerja mereka. Saat melakukan proses evaluasi kinerja pegawai, instansi menetapkan berbagai kriteria. Penulis mengembangkan sistem pengambilan keputusan untuk mengevaluasi kinerja karyawan dengan menggunakan metode algoritma profile matching. Dengan penggunaan sistem ini, evaluasi kinerja pegawai menjadi lebih efektif dan lebih efisien.

Keywords: Sistem Pengambilan Keputusan, Kinerja Pegawai, Profile Matching.
LAMP Web Server Berbasis Ubuntu 22.04 Emulator Virtual Engine-NG-COM 5.0.1-19
Authors: Fachrur Rozi Nurwan Reza
Published: January 2024

LAMP (Linux, Apache, MySQL, MariaDB, PhpMyAdmin) adalah kumpulan software open source untuk membuat web server secara bersamaan. LAMP merupakan gabungan beberapa sistem operasi Linux, Web Server Apache, Database MySQL MariaDB, serta server scripting phpMyAdmin. Karena mudah dalam pengelolaannya LAMP banyak sekali penggunaannya di berbagai web server. Dalam penulisan ini akan menjelaskan tentang menginistalasi LAMP pada sistem operasi Ubuntu 22.04-EVE-NG-COM 5.0-19. Ada 3 operasi yang harus di instalasi LAMP pada web server adalah Apache web server, MySQL MariaDB, & phpMyAdmin. Didalam ini penulis mejelaskan bagaimana pengaplikasian secara kombinasi yang dibutuhkan adalam pengisntalan LAMP.
Virtual Reality Film Development: Immersive, Cinematographic, and Duration
Authors: Fitriati Trimalda Nur , Rahma Dea Wemona , Firman Reza Ramadani , Cahyani Aisyah
Published: January 2024

The film industry is growing rapidly. Nowadays, there are movies with 360 video format or also called virtual reality movies. This type of film provides a new experience for the audience because it can provide a sense of immersion. Immersion is the emotional feeling of being “in” in an experience. An immersive experience makes the audience feel as if they are involved in the story or image that is being displayed. It's no longer just watching it. Unfortunately, immersion in VR films also has a weakness, which can cause the audience to lose focus on the storyline. Using VR media for too long can cause health problems. Therefore, this study aims to determine the immersive experience, duration, and cinematographic aspects that are effectively applied to VR films. The point is that the story shown can be conveyed properly to the audience, and the audience feels comfortable. The method used in this research is a qualitative method with a literature study approach. There are 8 articles used as references in this study. The findings from this study are that the immersion of VR films can be increased by using the right media, namely HMD. 20 minutes is the maximum duration for viewers to enjoy VR films without worrying about health risks. The focus of the audience can be directed by cinematographic aspects such as composition, light, point of view, and continuity
Potensi Artificial Intelligence dalam Dunia Kreativitas Desain
Authors: Satrinia Dwina , Firman Reza Ramadani , Fitriati Trimalda Nur
Published: January 2024

The shift in cultural practices towards digital usage has led companies and product brands to become increasingly adept at utilizing social media for promotion and branding. Creating social media content requires creativity, interactivity, attractiveness, and speed, driving a growing demand for design skills. To support the design process, designers rely on various tools, including AI-integrated applications, such as Canva, Figma, Picsart, Adobe Photoshop, Adobe Lightroom, and others. These tools enhance graphic designers' productivity and enable them to edit images, create artworks, and produce creative content for social media. 

The research explores the usage of AI technology in the field of design and art. It examines several AI applications, including image segmentation, image enhancement, image-to-image translation, face attribute manipulation, creating new artistic expressions, detecting fake paintings, 3D art, and AI influencers. AI has positively impacted the creative design world by enabling artists to explore new artistic expressions, generate more personal and interactive artworks, and streamline the design workflow. AI tools have also facilitated inclusive design, making creative content accessible to diverse audiences. However, there are concerns that AI may replace human artists and create art lacking soul or authenticity. The research aims to provide an overview of the existing studies on AI in design to help designers understand the potential of AI in the creative domain. It also discusses the positive and negative implications of AI's integration into the world of design, emphasizing the need for ethical considerations and the preservation of human artistic contributions.
Implementasi Struktur Array 8x2 Pada Antena Mikrostrip Yagi
Authors: Quzwain Kamelia , Ardiansyah Oki , Rahmawati Viviana
Published: January 2024

Sebuah antena Microstrip Yagi Array (MYA) 8x2 untuk aplikasi Worldwide Interoperability for Microwave Access (WiMAX) pada frekuensi 5,8 GHz disajikan dalam jurnal ini. Penelitian ini membahas tentang peningkatan gain untuk antena mikrostrip Yagi. Antena MYA 8x2 merupakan kombinasi dari konsep antena Yagi dan struktur array 8x2 untuk meningkatkan gain. Antena disimulasikan menggunakan perangkat lunak Computer Simulation Technology (CST). Berdasarkan hasil simulasi, gain yang didapat sebesar 19,74 dB serta return loss () yang didapat sebesar -26,18 dB pada frekuensi 5,8 GHz. Sedangkan hasil pengukuran menunjukkan gain yang didapat sebesar 18 dB dan  sebesar -11,3 dB. Selain itu, directivity antena ini adalah 20,51 dB. Antena 8x2 MYA difabrikasi dengan menggunakan Roger 5880 yang memiliki substrat dielektrik () sebesar 2,2 dengan ketebalan (h) sebesar 0,787 mm. Oleh karena itu, Antena yang ringan dan directivity yang tinggi adalah kelebihan dari antena yang diusulkan pada penelitian ini. Hasil simulasi dan pengukuran akan ditampilkan dalam jurnal ini.
Prediction of Liver Disease Using a Linear Regression Algorithm
Authors: Haryadi Deny , Umi Atmaja Dewi Marini , Hakim Arif Rahman
Published: January 2024

The liver is the most essential organ in the human body. Hepatitis is one such disorder affecting the liver and is a global health issue, including in Indonesia. Liver disease is an inflammatory condition of the liver that can be triggered by genetic factors, viral infections, alcohol consumption, and the use of certain drugs. In principle, prevention of hepatitis or liver disease can be done by adopting a healthy lifestyle. In addition, early detection is also very important in preventing death in those affected by this disease. One method for early detection is through the application of data mining, which can help predict and reduce mortality in patients affected by this disease. Linear regression is a data mining technique utilized to predict the dependent variable or outcome based on the independent variable or predictor. The study conducted tests on this algorithm and obtained a Root Mean Squared Error of 0.349 +/- 0.000. This indicates the presence of a correlation or functional relationship (cause and effect) between the dependent variable (criterion) and the independent variable (predictor). The purpose of this testing process is to detect liver disease using the linear regression algorithm.
Pemodelan Proses Bisnis Second Level Maintenance (SLM) Mesin ATM pada PT XYZ
Authors: Yutia Syifa Nurgaida , Tyas Sasmi Hidayatul Yulianing , Rahma Dea Wemona , Kuncoro Adi
Published: January 2024

Dalam proses bisnis second level maintenance memiliki tujuan untuk memberikan jasa perbaikan mesin ATM yang digunakan oleh pihak customer atau bank. Tentunya dalam, menjalankan bisnis dalam bidang ini mempunyai standar untuk memenuhi persyaratan,  yang saling disepakati oleh kedua belah pihak. Pada proses bisnis yang sedang berjalan saat ini memiliki masalah pada proses manage schedule yang tidak mencapai SLA. Proses manage schedule yang tidak tepat menyebabkan overload pada ticket problem dan penjadwalan yang tidak efektif sering menyebabkan ketidaktersediaan teknisi. Penelitian ini berfokus untuk mengatasi perbaikan kinerja pada proses bisnis Manage Schedule. Proses bisnis eksisting akan dianalisis dan dibuat usulan rancangan proses bisnis TO-BE sebagai bentuk perbaikan dari proses bisnis saat ini. Usulan proses bisnis diharapkan dapat meningkatkan kinerja proses bisnis eksisting untuk memenuhi batas SLA yang telah ditetapkan sebelumnya.   Metode penelitian ini menggunakan pendekatan kuantitatif dan kualitatif. Pemodelan proses bisnis menggunakan BPMN (Business Process Model Notation). BPMN yang merupakan metode pemodelan bisnis, dan juga sebagai alat desain pada sistem yang berbasis pesan digunakan dalam penelitian ini. Hasil penelitian menunjukan rancangan proses TO-BE meningkatkan dari sisi efisiensi cycle time menjadi 52,84%.
A Literature Review for Understanding the Development of Smart Parking Systems
Authors: Cahyadi Nanang , Dorand Pietra , Rozi Nurwan Reza Fachrur , Haq Laksamana Aidzul , Maulana Refsi Indra
Published: January 2024

Smart parking systems that use AI, data analytics, and IoT are a result of urbanization and rising automobile utilization. These systems are designed to enhance user experience, shorten search times, and make the most of available space. AI analyzes real-time data, proposes open places, and projects demand in the future. Infrastructure costs, stakeholder cooperation, and system compatibility continue to be issues, nevertheless. To maintain user confidence, privacy, and ethical usage in the study of smart parking systems, in-depth literature reviews are essential. The systematic literature review (SLR) method was used to examine AI-based smart parking solutions, such as wireless sensor networks, ultrasonic sensor nodes, reservation-based systems, intelligent parking guidance, IoT-based on-street infraction monitoring, central parking management systems, and energy-efficient automated solutions. Budgetary restrictions, stakeholder participation, interoperability concerns, data privacy, security, and moral ambiguities are all problems. To test scenarios, understand rules, processes, and algorithms in limited contexts, researchers need to develop reliable outdoor sensor and data technologies for outside application.
Rancang Metode Pembelajaran Daring Sebagai Media Belajar Pemrograman Menggunakan Discord
Authors: Yansyah Ilham Roni , Suyoprayogo Hertanto , Muftikhali Qilbaaini Effendi
Published: January 2024

Pembelajaran daring adalah metode yang sering disebut pembelajaran online, dimana pembelajaran tersebut memanfaatkan telnologi internet, yang memiliki fitur-fitur unggul dalam menyajikan banyak bentuk konten pembelajaran. Internet merupakan teknologi dalam perkembangannya tidak dapat dipisahkan dari kebutuhan masyarakat. Internet adalah koneksi antara komputer yang saling keterhubungan. Media sosial merupakan salah satu contoh aplikasi yang berbasis pada penggunaan teknologi internet. Media sosial menjadi tempat di mana pengguna dapat terhubung, berkomunikasi dan bertukar informasi dengan menggunakan internet sebagai jaringan penghubung. Aplikasi media sosial yang dianalisis dalam penelitian ini adalah Discord. Discord adalah aplikasi untuk komunikasi berbasis suara, video dan teks. Berdasarkan permasalahan di atas, penulis mencoba mengimplementasikan aplikasi Discord dalam pembelajaran Pemrograman di Universitas Telkom kampus Jakarta. Penggunaan Discord digunakan dalam pelaksanaan perkuliahan asinkron untuk meningkatkan minat dan kreativitas mahasiswa dalam pemrograman.
Rule-based prediction of diabetes mellitus using a classification based on association rules
Authors: YAŞAR Şeyma , FINDIK Büşra Nur
Published: January 2024

Diabetes mellitus, a chronic metabolic disease, is characterised by persistently high blood sugar levels. It is projected that by 2030, the number of individuals with diabetes in developing nations would rise from roughly 84 million to 228 million, placing a substantial strain on healthcare systems. Therefore, there is a need for different predictions that can be used in early diagnosis, follow-up and preventive medicine for this disease. In this study, a data mining algorithm, the association classification approach, is used to classify diabetes on an open source dataset. The performance metrics of the model are accuracy, balanced accuracy, sensitivity, specificity, positive predictive value, negative predictive value and F1-score values of 0.92, 0.78, 0.58, 0.98, 0.85, 0.93, 0.70 respectively. According to these results, the classification model based on association rules is highly successful in classifying diabetes melitus. In addition, as an output of the model, certain rules are proposed that can be used in early diagnosis, treatment and preventive medicine of diabetes mellitus.
Biomarkers for predicting diabetes in gastric cancer patients with machine learning methods based on proteomic data
Authors: YAŞAR Şeyma , FINDIK Büşra Nur
Published: January 2024

Gastric cancer is a type of cancer that occurs when cells in the stomach tissue grow and multiply abnormally. Gastric cancer usually starts in the inner layer of the stomach wall and can spread to other layers over time. This type of cancer is most common in people over the age of 50, but it can also occur in younger people. Symptoms of gastric cancer include indigestion and stomach pain, nausea and vomiting, loss of appetite and weight loss, bloody stools, fatigue and weakness. Although the exact cause of stomach cancer is not known, several risk factors have been identified. These risk factors include infection with the bacterium Helicobacter pylori, a family history of stomach cancer, consumption of excessively salty foods, smoking, heavy alcohol use and some genetic factors. Diabetes, on the other hand, is a hormonal disorder that regulates the body's blood sugar levels. Normally, an organ called the pancreas controls blood sugar by producing a hormone called insulin. Insulin helps glucose (sugar) enter the cells so that they can make energy. In diabetes, this regulation is disrupted, which can lead to high blood sugar and various health problems. The relationship between stomach cancer and diabetes is not yet fully understood. In this study, machine learning models (Stochastic Gradient Boosting, Bagged Classification and Regression Trees) based on proteomic data were used to predict the diabetes risk of 40 gastric cancer patients, 21 with DM and 19 with non-DM. Performance metrics for the optimal model (Stochastic Gradient Boosting) the accuracy, balanced accuracy, sensitivity, specificity, positive predictive value, negative predictive value and F1-score values are 0.86, 0.83, 0.67, 1.00, 1.00, 0.80, 0.80, respectively. According to the variable importance values obtained as a result of the model, Mucin-13 protein has a positive predictive value in predicting the diabetes risk of gastric cancer patients in the clinic.
Életünk a koronavírus-járvány idején: a poszt-COVID felmérés általános módszertana és a felhasznált mérőeszközök pszichometriai jellemzői
Authors: Rózsa Sándor , Mészáros Veronika , Kiss Enikő Csilla , Kövesdi Andrea , Csikós Gábor , Nyitrai Erika , Ferenczi Andrea , Ferencz Valéria , Arató Judit , Mirnics Zsuzsanna
Published: January 2024

Tanulmányunkban az „Életünk a koronavírus-járvány idején” című online kvázi-reprezentatív mintavételű keresztmetszeti kutatás célkitűzéseit és módszertanát ismertetjük. A felmérésben 1779 fő (922 nő és 857 férfi) vett részt, akik a COVID-19 világjárvány egészségi állapotra és az életminőségre gyakorolt hatását feltáró átfogó tesztbattériát töltötték ki. Az adatgyűjtés 133 hallgató segítségével történt, akik a meglévő kapcsolati hálójuk felhasználásával, megadott kvóták szerint (nem, iskolai végezettség és életkori övezet) kértek fel személyeket a mintegy 300 kérdésből álló online tesztbattéria kitöltésére. A kérdőívcsomag a szociodemográfiai jellemzők mellett, az egészségi állapotra, a védőoltással szembeni attitűdre, a járvány hatásának értékelésére, a koronavírus-fertőzésre, az általános személyiségjellemzőkre és érzelmekre, az életminőségre, a megküzdésre és stresszre, megrázó élményekre, a családi és társas kapcsolatokra, a munkára és otthoni munkavégzésre, valamint az online oktatásra vonatkozó kérdéseket és skálákat tartalmazott. A vizsgálati mintánk reprezentativitása a felsőfokú végzettségűek és a fővárosban élők túlsúlya miatt sérül, de mérlegelve az online tesztkitöltés sajátosságait, ezt elfogadhatónak tartjuk. A kutatásban felhasznált skálák jó pszichometriai jellemzőkkel rendelkeznek. Bár a felmérésünk a reprezentativitás sérülése miatt csak korlátozott és óvatos következtetéseket tesz lehetővé a magyar lakosság egészére való általánosításkor, ennek ellenére az oktatók és hallgatók együttműködésén alapuló felmérés, a tudományos értéke mellett, a szakmai szocializációra kifejtett edukatív hatása sem elhanyagolható.
A poszttraumás stressz és poszttraumás növekedés pszichológiai összefüggései a COVID-19 világjárvány időszakában
Authors: Mirnics Zsuzsanna , Kövi Zsuzsanna , Bagó Andrea
Published: January 2024

Kutatásunk célja a poszttraumás stressz és poszttraumás növekedés pszichológiai összefüggéseinek tanulmányozása volt a COVID-19 világjárvány időszakában. Mintánkba 2205 személy (1290 nő és 915 férfi) tartozott, akikkel 2021 őszén végeztünk adatfelvételt. Az Események Hatása Kérdőív és a Poszttraumás Növekedés Kérdőív felvétele mellett a Young-féle korai maladaptív sémák intenzitását, a mentális jóllétet, a reziliencia és a társas támogatás mutatóit is mértük. Eredményeink szerint a poszttraumás stressz és a poszttraumás növekedés pozitív együttjárást mutatott. A reziliencia és a korai maladaptív sémák egymással ellentétes irányú kapcsolatban álltak a jóllét változókkal, a reziliencia pedig közvetítő változóként működött a poszttraumás növekedés és a jóllét változók között. A korai maladaptív sémákkal mind a poszttraumás növekedés, mind pedig a poszttaumás stressz pozitív irányú kapcsolatban állt. Következtetések: a reziliencia pandémiahelyzetben is a mentális egészség és jóllét jelentős protektív változója, míg a korai maladaptív sémák rizikófaktorként működnek. A reziliens személyek a világjárvány körülményei között is mélyebben átélhetik jóllétüket, és személyiségük a terhek alatt is fejlődhet, a korai maladaptív sémák által erősen érintett egyéneknél viszont a hasonló társadalmi krízishelyzetekben korai negatív tapasztalatok idéződhetnek fel.
Gyermeküket egyedül és párban nevelő szülők reziliencia vizsgálata a SARS-CoV-2 pandémia alatt, tekintettel az észlelt stressz, megküzdési módok és a társas támasz összefüggéseire
Authors: Palotás Andrea , Rózsa Sándor , Nyitrai Erika , Szabó-Bartha Anett , Kiss Enikő Csilla
Published: January 2024

Kutatási célkitűzésünk a gyermeküket egyedül és párban nevelő szülők vizsgálata volt, mely során azt feltételeztük, hogy az egyedül gyermeket nevelő szülőknél az észlelt stressz magasabb, a társas támasz és a reziliencia értéke alacsonyabb lesz, míg a megküzdési módok tekintetében az érzelemfókuszú megküzdés nagyobb szerepet játszik náluk. Mintánkat 154 egészséges személy alkotta, akik közül 38 fő egyedül nevelte gyermekét, 116-an pedig párban. A vizsgálati személyek kényelmi mintavételi módszerrel interneten keresztül kerültek bevonásra, akikkel észlelt stressz, társas támasz, reziliencia és megküzdési módok kérdőíveket vettünk fel. Az eredmények alátámasztották hipotézisünket, miszerint a gyermeküket egyedül nevelő szülők alacsonyabb társas támasszal rendelkeznek (alacsonyabb a baráti kapcsolatok száma, valamint a pozitív szociális interakción alapuló támasz és az instrumentális támasz), a reziliencia faktorain belül az észlelt társas támogatottság alacsonyabb mértékű, és az érzelemfókuszú megküzdésen belül magasabb az érzelmi indíttatású cselekvés mértéke. Többszörös lineáris regresszió elemzéssel azt az eredményt kaptuk, hogy az érzelmi információs támasz, a pozitív szociális interakción alapuló támasz és a kognitív átstrukturálás pozitív bejóslója a szülői rezilienciának, míg az észlelt stressz negatív prediktor. Vizsgálatunk alátámasztotta a gyermeküket egyedül nevelő szülők azon nehézségeit, amelyek gátolják a mindennapi élethelyzetükhöz történő rugalmas alkalmazkodást.
MARKETING ASPECTS OF THE INTRODUCTION OF DIGITAL TWINS TECHNOLOGY IN THE REGIONAL AGRICULTURAL PRODUCTS MARKETS
Authors: ХУБУЛОВА В.В. , КОСИВЦОВ Н.Н.
Published: January 2024

В статье дана авторская маркетинговая интерпретация процессов внедрения и реализации цифровых двойников в качестве технологии управления фермой, что позволяет отделить физические потоки от планирования и контроля как составных частей маркетинговых стратегий. Как следствие, обосновано, что фермеры могут управлять операциями удаленно на основе цифровой информации в реальном времени вместо того, чтобы полагаться на прямое наблюдение и ручные операции на месте. В данном контексте возникает возможность оперативно реагировать на отклонения и моделировать эффекты вмешательств на основе реальных данных. В статье проведен маркетинговый анализ, влияния на общую стратегию цифровизации сельского хозяйства внедрения цифровых двойников в фермерские хозяйства, а также обоснована и рассмотрена концептуальная модель управления на основе цифровых двойников. Статья может быть полезна при проведении последующих прикладных исследований в агромаркетинге и отраслевой экономике.

Marketing interpretation of the processes of the introduction and the implementation of digital twins as a farm management technology has been presented. It separates physical flows from planning and to control as components of marketing strategies. As a result, farmers can control operations on-line based on digital information instead of relying on direct observation and manual operations on site. In this context, it is possible to respond quickly to deviations and model the effects of interventions based on real data. Marketing analysis of the digital twins’ impact on farms and the strategy of digitalization of agriculture has been carried out. Also, conceptual management model based on digital twins has been justified. The material can be used in further research in industrial economics and agricultural marketing.
EVOLUTION OF CHINA'S FOREIGN POLICY CONCEPTS (1949 – THE BEGINNING OF THE XXI CENTURY)
Authors: ИВАЩЕНКО А.С.
Published: January 2024

Китай – это первая экономика в мире по паритету покупательной способности ВВП, второе по численности населения государство на земном шаре, четвёртая по территории страна среди членов мирового сообщества. Достаточно данных параметров, чтобы даже для простого обывателя стало ясно, насколько велика роль КНР в мировом сообществе. И действительно, Китай в настоящее время по своему экономическому, политическому и военному потенциалу, без всяких оговорок, - государство «номер два» в мире после США. Сам по себе напрашивается вопрос: что за метаморфозы и почему произошли с бывшей беднейшей полуколонией в мире за период с 1945 г. по начало ХХI в.? Ответ на этот вопрос кроется не только в изучении социально-экономического и внутриполитического развития Китая второй половины ХХ - начала XXI вв., но и в исследовании внешнеполитической стратегии страны, оптимизация которой стала составной частью экономического успеха. Целью статьи является выявление эволюции внешнеполитического курса КНР с момента её появления до начала ХХI в. При работе над исследованием были использованы следующие методы: проблемно-хронологический, метод периодизации, сравнительно-исторический, историко-ретроспективный, историко-генетический и др. Поиск Китаем эффективной внешнеполитической стратегии, которая в первую очередь содействовала бы его экономическому развитию, а на основе этого развития укрепляла бы военно-политическую мощь страны, был довольно продолжительным, изобиловал значительным количеством ошибок, часто являлся неконструктивным.

China is the largest economy in the world in terms of purchasing power parity of GDP, the second most populous state on the globe and the fourth largest country among the members of the world community. These parameters alone are sufficient enough to let even a simple layperson realize the role of the PRC in the world community. In fact, China currently ranks second in the world after the United States in terms of its economic, political, and military potential, without any reservations. It begs the question: what transformations happened to the former poorest semi-colony in the world during the period from 1945 to the beginning of the XXI century and why? The answer to this question lies not only in the study of China's socio-economic and domestic political development in the second half of the XX - early XXI centuries, but also in the examination of the country's foreign policy strategy, the optimization of which has become an integral part of its economic success. The purpose of the article is to identify the evolution of foreign policy.
ROLE OF FRANCE IN THE SETTLEMENT OF THE LIBYAN CONFLICT
Authors: СМИРНОВА О.А. , ШПИГОВСКАЯ М.В.
Published: January 2024

Ни для кого не секрет, что декабрь 2010 г. ознаменовал собой начало серии антиправительственных вооруженных восстаний во многих странах Северной Африки и Ближнего Востока, известных под общим названием «Арабская весна». Несмотря на то, что с момента протестов и беспорядков прошло уже 12 лет, в таких государствах, как Сирия, Йемен, Ирак, Судан, так и не удалось нормализовать политическую ситуацию и перейти к восстановлению экономической, социальной и гуманитарной сфер жизни, и Ливия в данном случае не стала исключением. Регион был и остается одной из горячих точек, где на фоне российско-украинского конфликта, арабо-израильских противоречий, террористической деятельности в Сахаро-Сахельском регионе и эскалации в Сирии может возникнуть новая вспышка насилия. На сегодняшний день хаотичная ситуация в Ливии унесла жизни многих мирных жителей, кроме того, ущерб в нескольких крупных городах таков, что потребуются десятилетия, чтобы страна восстановила экономическую стабильность, и Париж во многом несет ответственность за гражданскую войну в Ливии. Целью настоящего исследования является анализ динамики ливийского кризиса, а также рассмотрение роли Франции в процессе его урегулирования.

It is not a secret to anyone that December 2010 marked the beginning of the series of anti-government armed uprisings in many countries of North Africa and the Middle East, generally known as the "Arab Spring". Despite the fact that 12 years have passed since the protests and riots took place, such states as Syria, Yemen, Iraq, Sudan, have not been able to normalize the political situation and transition to restoration of economic, social and humanitarian spheres, and Libya in this case is no exception. The region has been and remains one of the hotspots where against the backdrop of the Russian-Ukrainian conflict, Arab-Israeli contradictions, terrorist activities in the Sahel-Saharan region, and escalation in Syria, a new outbreak of violence may occur. At present, the chaotic situation in Libya has claimed the lives of many civilians, and the damage in several major cities is such that it will take decades for the country to restore economic stability, and Paris bears a significant responsibility for the civil war in Libya.The purpose of this study is to analyze the dynamics of the Libyan crisis as well as consider the role of France in the process of its settlement.
Oralities and escrevivência project: a proposal for Quilombola-specific school education in Amazonia
Authors: Ferreira Josilene , Cardoso Andréa , Lima Ruth , Peixoto Rodrigo
Published: January 2024

This article presents an account of the experience of quilombola teachers and multipliers on the trajectory of the Quilombola Pre-University Course "Oralidades e Escrevivências", Conceição Evaristo's concept. The proposal caters for quilombolas taking part in the Special Selection Process (PSE) at the Federal University of Pará, Amazonia Brazil. The Quilombola entrance exam caters for young black and quilombola people living in the community and belonging to the Moju Miri riverside and quilombola territory, Pará, Amazonia. The project has already enabled more than 20 students to pass various courses, including: Law, Dentistry, Nutrition, Engineering and Degree courses. The pedagogical practice that represents us is Quilombola Specific School Education in the dimensions of territory and ancestry. Methodologically, we used experience reports and reflective analyses, based on Dealdina (2020), Kilomba (2019) and Evaristo (2020). We found that having policies is not enough to get into university, without the teaching-learning practices making sense to the students who live and breathe the quilombo.
Multidisciplinary interventions in the development of autistic children: an integrative review
Authors: Sousa Davi Leal , Berticelli Isabela , Nandi Lucas Daniel , Larentes Itamar
Published: January 2024

Objective: To analyze the effectiveness of multidisciplinary interventions that incorporate active family participation in the development of children with ASD. Methodology: The Integrative Literature Review method, the PICO strategy, was adopted to formulate the research question. the search terms were combined with the Boolean operators AND and OR, generating specific search expression used in the databases: Medical Literature Analysis and Retrieval System Online (MEDLINE) and PubMed, as well as manual searches of references. Results: The studies were published between 2015 and 2023, analyzing 244 children/adolescents with ASD, 150 fathers/family members and 54 mothers of these children, 27 professionals (psychologists, teachers and physical educators) and multidisciplinary teams that deal with autistic children. Conclusion: Multidisciplinary collaboration, involving the family, plays a crucial role in the development of children and adolescents with Autism Spectrum Disorder compared to interventions that do not include family participation.
Improving Rogue Scholar metadata conversions
Authors: Fenner Martin
Published: January 2024

Last week the Rogue Scholar science blog archive added export of blog post content in various formats (Markdown, ePub, PDF, JATS XML). This week Rogue Scholar is improving the existing metadata export, and adding metadata export in Schema.org JSON-LD format.
Gennady Shimanov and His Unfulfilled Dream of “Orthodoxizing the Soviet State”
Authors: Pushchaev Yu. V.
Published: January 2024

The article delves into the life and endeavors of Gennady Mikhailovich Shimanov (1937–2014), a relatively unknown to the wide audience yet a profoundly intriguing thinker, Orthodox publicist and dissident of the Soviet and post‑Soviet eras. It provides an overview of his biography and creative journey, highlighting his atypical position within the dissident and human rights movement, which predominantly leaned towards liberalism. In general, Shimanov’s beliefs revolved around practicing Orthodoxy during the Soviet era, Christian socialism, and Russian nationalism. The article focuses on Shimanov’s historiosophical prediction in the 1970s, suggesting the transformation of the Soviet state into an Orthodox theocracy, and the subsequent debates within the dissident literature of that time. Unusual for that period was Shimanov’s conviction in the necessity of maintaining loyalty to the Soviet state even on the part of dissidents. The article also touches upon Shimanov’s post‑Soviet creative works and their character, notably after the collapse of the USSR when his expectations starkly failed to fulfill, or fulfilled in the opposite direction. Nevertheless, other successful ideas and predictions by Shimanov are acknowledged. For example, those regarding the detrimental consequences that the country and society would experience if the liberal approach was chosen as the way out of the historical impasse of the Soviet era. The article also notes weaknesses in Shimanov’s ideologies, particularly evident in the post‑Soviet years: painful antisemitism, excessive social interpretation in understanding of Christianity, and ideological engagement. Simultaneously, the article acknowledges positive aspects of his ideas, namely his focus on national and family issues that heavily impacted the future of the Russian people.
The Soviet Adherer of the Pochvennichestvo: Reflections on the Worldview of Vladimir Alekseevich Chivilikhin
Authors: Zelikina N. S.
Published: January 2024

The paper attempts to review the mindset and ideological foundations of the works by the Soviet writer and publicist Vladimir Chivilikhin, whose novel‑essay “Memory” was not only a phenomenon in the Russian Soviet literary process of the second half of the 20th century, but also served as an occasion for a broad public discussion, which allows us to consider it as the significant event of public life and the basis for analyzing the intellectual discourse of the late Soviet era. At the same time, the research is based not only on the author’s fiction and journalistic works, but also on personal materials (diaries, letters, memoirs) and is conducted in the context of social and ideological problems of the last decades of the Soviet period.