bluuebunny/crossref_metadata_2025 huggingface dataset:
Faktor-Faktor yang Berhubungan dengan Pengetahuan Ibu Hamil tentang Prevention Of Mother To Child Transmission
Authors: Anggraini Nofa , Sukmawati
Published: October 2024

Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) merupakan masalah kesehatan di seluruh dunia. World Health Organization (WHO) menyatakan bahwa HIV dan AIDS menjadi ancaman global dan mengakibatkan dampak merugikan di semua sektor. Penyakit HIV dan AIDS merupakan penyakit infeksi penyebab kematian peringkat atas dengan angka kematian dan angka kejadian penyakit yang tinggi serta membutuhkan diagnosis serta terapi yang cukup lama (WHO, 2015). Tujuan dari penelitian ini adalah Untuk mengetahui faktor-faktor yang berhubungan dengan pengetahuan ibu hamil tentang PMTCT di Puskesmas Sriamur Bekasi tahun 2017. Metode  penelitian yang digunakan adalah analitik dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh ibu hamil yang melakukan pemeriksaan kehamilan di Puskesmas Sriamur pada bulan Mei 2017 dengan jumlah sampel sebanyak 60 orang. Dari hasil analisis univariat didapatkan sebagian besar responden dengan pengetahuan cukup 46,7%, umur 20-35 tahun 81,7%, pendidikan menengah 60%, paritas multipara 73,3% dan sumber informasi dari media 61,7%. Analisis bivariat menunjukkan adanya hubungan yang bermakna antara umur, pendidikan, paritas dan sumber informasi dengan pengetahuan ibu hamil tentang PMTCT.
Substantiation of methods and materials for fastening wear-resistant elements of technical means working bodies for tillage
Authors:   INSTITUTE  of  MECHANICS  and AUTOMATICS  of  AGROINDUSTRIAL  PRODUCTION  of  the  NATIONAL  ACADEMY  of AGRARIAN SCIENCES of UKRAINE, Vаsylenko M. , Buslаiev D. ,   INSTITUTE  of  MECHANICS  and AUTOMATICS  of  AGROINDUSTRIAL  PRODUCTION  of  the  NATIONAL  ACADEMY  of AGRARIAN SCIENCES of UKRAINE, Kаlinin O. ,   INSTITUTE  of  MECHANICS  and AUTOMATICS  of  AGROINDUSTRIAL  PRODUCTION  of  the  NATIONAL  ACADEMY  of AGRARIAN SCIENCES of UKRAINE, Kononogov Yu. ,   INSTITUTE  of  MECHANICS  and AUTOMATICS  of  AGROINDUSTRIAL  PRODUCTION  of  the  NATIONAL  ACADEMY  of AGRARIAN SCIENCES of UKRAINE, Baturevych Ye. ,   INSTITUTE  of  MECHANICS  and AUTOMATICS  of  AGROINDUSTRIAL  PRODUCTION  of  the  NATIONAL  ACADEMY  of AGRARIAN SCIENCES of UKRAINE
Published: October 2024

Purpose. Substantiated methods and materials for fastening wear-resistant elements of parts of tillers by evaluating the strength characteristics of the fastener. Methods. Analytical, monographic, graphic. Results. The method of brazing ВК8, ВК20 hard alloy plates with solder ПСр 37.5 is substantiated for fastening wear-resistant elements of parts of tillers. Conclusions 1. According to the results of the analysis of materials for fastening replaceable wear-resistant elements, it was established that one of the most promising methods is the soldering of carbide plates, and among the fastening materials there is silver solder ПСр 37.5, which has better shear strength (in 7.0–7.9 times greater than adhesive compositions and 1.2 times greater copper-zinc than solder ПрМНМц68-4-2) due to the additional introduction of Mn and Ni into the composition of the solder. 2. The developed processes of increasing the wear resistance of the cutting blades and the bits of the subsoilers by the method of soldering interchangeable elements with the use of milling, thermal, soldering, locksmithing and control operations will make it possible to increase the resource of these parts by 2–3 times. Keywords: elements, parts, tillers.
How is Food Tourism Narrated on Tiktok?
Authors: Fusté-Forné Francesc , Orea-Giner Alicia
Published: October 2024

This research note aims to explore the relations between food tourism and short-video platforms, specifically TikTok, to understand how destinations promote food-related tourist experiences. Based on an exploratory qualitative approach, the study examines the role of food tourism in
digital destination marketing focused on 29 TikTok videos from 16 global destinations. Results reveal that while food consumption is central to the promotion of these experiences, the content also emphasizes the preservation of local heritage and traditions through culinary products, dishes,
and the surrounding environment. This highlights the importance of food in tourism marketing, as well as the collaborative creation of food tourism experiences that enhance the competitiveness of destinations. The research note contributes to advance research on the relationship between food
tourism and social media, and it offers insights for future studies to explore the dynamic relations between destination marketing and food tourism.
Mengatasi Kecemasan Dengan Intervensi Senam Tera
Authors: Prastyaningrum Fitri Damayanti , Sulistyowati Dwi , Adriani Rita Benya , Tarnoto Koko Wahyu
Published: October 2024

Lanjut usia merupakan fase terakhir dalam kehidupan seseorang. Bertambahnya usia maka semakin banyak permasalahan kesehatan yang dialami oleh lansia, tidak hanya kesehatan fisik tetapi juga kesehatan mental seperti kecemasan. Kecemasan pada lansia memiliki efek pada penurunan tingkat aktivitas fisik dan status fungsional, bahkan hingga berisiko pada kematian Salah satu cara alternatif untuk mengurangi kecemasan yaitu senam tera. Penelitian ini bertujuan untuk mengetahui pengaruh senam tera terhadap penurunan tingkat kecemasan pada lansia di Wilayah Kerja Puskesmas Manahan. Metode penelitian ini dengan desain pre-experimental yaitu one group pre-test and post-test design. Teknik sampling menggunakan metode purposive sampling berjumlah 36 responden dan instrumen penelitian menggunakan kuesioner Geriatric Anxiety Inventory. Intervensi dilakukan selama 4 minggu dalam 1 minggu 2 kali pertemuan. Data hasil penelitian dianalisis menggunakan uji statistik Paired Sample T-test. Hasil penelitian menunjukkan terdapat pengaruh yang signifikan senam tera pada penurunan tingkat kecemasan lansia karena saat melakukan senam tera dapat meningkatkan sekresi hormon endorfin yang bisa menimbulkan perasaan rileks dan bahagia sehingga dapat mengurangi kecemasan. Keseimpulan penelitian ini terdapat penurunan tingkat kecemasan pada lansia setelah dilakukan intervensi senam tera selama 8 kali.
 
Kata Kunci: Lansia, Kecemasan, Senam Tera
Faktor-Faktor Yang Mempengaruhi Tingkat Nyeri Tenggorokan Pasca Operasi Dengan Penggunaan Endoracheal Tube Pada Pasien Bedah Saraf
Authors: Amelia Khusnul , Olfah Yustiana , Donsu Jenita Doli Tine
Published: October 2024

Latar Belakang : Nyeri tenggorokan pasca operasi dapat mempengaruhi beberapa aspek yaitu nyeri, gatal di tenggorokan dan rasa nyeri untuk menelan. Tindakan intubasi dapat menyebabkan komplikasi berupa nyeri tenggorokan. Tujuan : untuk mengetahui faktor-faktor yang mempengaruhi tingkat nyeri tenggorokan pasca operasi terhadap penggunaan endotracheal tube pada pasien bedah saraf di RSUD Prof. Dr. Margono Soekarjo Purwokerto. Metode : Penelitian ini dilakukan pada bulanebruari sampai Maret 2024 dengan pengambilan sampel menggunakan teknik konsekutif sampling sebanyak 80 responden pasien bedah saraf. Nyeri pasien diukur menggunakan NRS. Analisis data menggunakan Chi Square dan Regresi Logistik.  Jenis penelitian ini adalah penelitian kuantitatif dengan desain observasional menggunakan desain cross-sectional. Hasil : Hasil penelitian didapatkan bahwa hasil uji Chi Square diperoleh nilai signifikansi pada umur (p=0.027), jenis kelamin (p=0.048), durasi penggunaan ETT (p=0.007), ukuran endotracheal tube (ETTp=0.001), dan tekanan manset (p=0.000). Hasil uji Logistic Reggretion tekanan manset mempunyai OR tertinggi yaitu 6,565 (0,000), disusul variabel lain yaitu usia (OR 0,064; p = 0,027), jenis kelamin (OR 4,021; p = 0,048), durasi ETT. penggunaan (OR 1,956; p = 0,007 ), ukuran ETT dan (OR 2,455; p = 0,001). Kesimpulan dan saran : secara keseluruhan usia, Jenis kelamin, lama penggunaan ETT, ukuran ETT, tekanan cuff dapat mempengaruhi tingkat nyeri tenggorokan pasca operasi pada penggunaan selang endotrakeal pada pasien bedah saraf.
 
Kata kunci : Sakit Tenggorokan, Intubasi Endotrakea, Pasca Operasi
Hasil Pemeriksaan Tes Cepat Molekuler (Genexpert) Pasien Suspek Tuberkulosis Paru Di RSUD Kabupaten Buleleng
Authors: Rejito Ahmad , Bintari Ni Wayan Desi , Idayani Sri
Published: October 2024

Tuberkulosis adalah infeksi pada paru-paru yang disebabkan Mycobacterium tuberculosis. Prevalensi tuberculosis di Kabupaten Buleleng pada tahun 2021 masih tinggi dengan lebih dari 700 kasus. Tingginya angka kejadian tersebut mendorong perlunya pemeriksaan tuberculosis yang cepat dan akurat melalui Tes Cepat Molekuler (GeneXpert). Tujuan penelitian ini untuk mengetahui gambaran hasil pemeriksaan TCM pada pasien suspek Tuberkulosis paru di RSUD Kabupaten Buleleng pada Januari – Maret 2024. Penelitian dilakukan di Instalasi Laboratorium Klinik RSUD Kabupaten Buleleng. Sampel ditentukan dengan teknik simple random sampling dan besaran sampel dihitung dengan rumus Krejcie dan Morgan. Spesimen sputum pasien suspek tuberculosis dilakukan pemeriksaan dengan TCM GeneXpert. Hasil penelitian menunjukkan berdasarkan hasil TCM GeneXpert dari 204 pasien ditemukan MTB Rif sensitif Low (7,4%), MTB Rif Medium (2,9%), MTB Rif Sensitif High (5,9%), MTB Rif Resisten Low (0,5%), dan MTB Rif Resisten High (0,5%). Sementara itu sebagian besar sampel terdeteksi MTB not detected (82,8%). Berdasarkan distribusi frekuensi jenis kelamin dapat disimpulkan bahwa kejadian tuberkulosis paru pada pasien suspek di RSUD Kabupaten Buleleng pada Januari – Marey 2024 lebih banyak terjadi pada laki-laki dibandingkan wanita.
 
Kata Kunci: GeneXpert, Rifampisin, Tes Cepat Molekuler, Tuberkulosis, Mycobacterium tuberculosis
Designing a Digital Business Model Using SWOT Analysis and Business Model Canvas (Case Study of PT 372 Kopi Indonesia)
Authors: Pratama Niko Novian , Tricahyono Dodie
Published: October 2024

The number of coffee shops in Bandung continues to increase each year. In 2019 alone, there was a growth of 19.89%, rising from 201 coffee shops in 2018 to 243 coffee shops in 2019, including PT 372 Kopi Indonesia. The coffee business experienced a decline during the pandemic, prompting business owners to expand into digital avenues. This transition to a digital business model requires strategies tailored to the specific conditions and situations of PT 372 Kopi Indonesia. This research focuses on developing business strategies in the digital realm using Existing Business Model Canvas (BMC), SWOT analysis, and Proposed New BMC to identify the elements of a business. The research employs a qualitative method with a case study strategy, analyzing the organization as the unit of analysis, with minimal researcher interference. The study is set in non-contrived settings, and the research was conducted as a cross-sectional study. The findings of this study aim to analyze the existing business model to identify both external and internal factors. External environmental analysis utilizes PESTEL, Porter’s Five Forces, and competitor analysis, while internal analysis employs the VRIO framework and value chain analysis. The collected data is summarized using a SWOT matrix to formulate business strategies based on Porter’s Generic Strategies. A new Business Model Canvas (BMC) is proposed to explore potential developments in the digital business. It is recommended that PT 372 Kopi Indonesia enhance its digital media activities and leverage influencers for greater business growth.
Identity Politics and Religious in Modern Society
Authors: Katz Yaron
Published: October 2024

Israeli politics has been characterized by identity-based conflict, particularly surrounding the connection between the state of Israel and its identity as a Jewish state. A significant focal point of this conflict revolves around the tension between secular Jews and the ultra-Orthodox community. Despite being a minority group, the ultra-Orthodox holds substantial political influence. Over the past two decades, ultra-Orthodox parties have strategically leveraged religious issues to gain political power. Simultaneously, secular politicians have capitalized on anti-religious sentiment among secular Israeli Jews. The central point of contention lies in the demand for exemptions from military service for ultra-Orthodox religious males. This policy has played a pivotal role in shaping the community. This research examines the social and political divisions stemming from religion's role in shaping the Jewish state's identity and culture, examining the political ramifications of the ongoing identity struggle.
Leveraging Online Collaboration for Enhanced Social Studies Cognitive Skills
Authors: Corrales Julie-Ann , Tenorio Arnold Abad
Published: October 2024

This study examined students' perceptions of the online collaborative learning approach and its correlation with cognitive skills in social studies. Fifty students from various colleges at a state university in Laguna were selected using random sampling techniques. Quantitative data analysis revealed that students performed well in online collaborative learning environments, attributing this to positive relationships with group members and a desire to meet group expectations. Regarding cognitive skills, students demonstrated proficiency in accurately evaluating options and establishing priorities. The study found a positive correlation between online collaborative learning and enhancing students' cognitive skills, particularly in decisionmaking and problem-solving. These findings suggest that online collaborative learning may effectively develop cognitive abilities in social studies education.
SCRIPTS AND THEIR PLACE IN PRINTING
Authors:   Rector National Institute Fine Arts And Design After Named Kamoliddin Behzod, Uzbekistan, Mirzorakhimov Abbosjon
Published: October 2024

The article provides information about the technique of making lithographic books, the history of used ornaments.
THE ROLE OF WOMEN IN ENSURING SOCIAL STABILITY OF SOCIETY AND SPIRITUAL SECURITY
Authors:   Senior Lecturer Of The Political Science Department Of The Uzbek State University Of World Languages, Doctor Of Philosophy (Phd) In Political Science, Uzbekistan, Davronova Feruza Rakhmonovna
Published: October 2024

In this article at the new stage of Uzbekistan's development the issue of increasing social and political activity of citizens, including the formation of gender equality in society, integration of gender culture as a value is analyzed. Consequently, the issue of ensuring that the female stratum, which constitutes half of our nation, understands, protects and utilizes its rights, privileges and guarantees is carefully considered, which is an important factor in achieving the strategic goal pursued in this regard. The role of women in ensuring stability, spiritual security of the society is analyzed on the basis of factual data. A number of suggestions and conclusions are made on the issue of improving political literacy and women's participation in building an inclusive society.
FEATURES OF CENTRAL HEMODYNAMICS IN PATIENTS WITH BRONCHIAL ASTHMA
Authors:   MD, PhD, DSc., Tashkent Pediatric Medical Institute, Tashkent, Uzbekistan, D.K. Muminov , O.O Kenjaev ,   Tashkent Pediatric Medical Institute, Tashkent, Uzbekistan
Published: October 2024

Bronchial asthma (BA) is a serious medical problem. The prevalence of asthma is increasing in most countries. Deterioration of pulmonary function is as strong a predictor of cardiovascular mortality as major cardiovascular risk factors. In this review, we tried to reflect the current current understanding of the adverse effects of asthma on cardiovascular remodeling.
PENGEMBANGAN E-LKPD SEBAGAI MEDIA PENINGKATAN KEMAMPUAN BELAJAR MATEMATIKA PESERTA DIDIK
Authors: Widiyaningsih Budi
Published: October 2024

Teknologi yang semakin maju dan berkembang mengakibatkan perkembangan ilmu pengetahuan yang pesat. Peserta didik telah terbiasa menggunakan ilmu pengetahuan dan teknologi dengan bantuan internet untuk belajar dan memperoleh informasi. Berkembang pesatnya teknologi pada dunia pendidikan berpengaruh pada pengembangan bahan ajar, maka dikembangkan bahan ajarberbasis digital untuk mendukung kegiatan belajar peserta didik. Bahan ajar digital yangdikembangkan memanfaatkan mediaflip pdf profesionaluntuk mengembangkan multimedia pembelajaran berupa e-LKPD. E-LKPD dilengkapi dengan media gambar, animasi buku yang dapatbergerak, audio, video dan linkwebsite untuk melengkapi e-LKPD. Dengan tampilan e-LKPD yangmenarik diharapkan peserta dapat termotivasi untuk giat belajar, mandiri, dan termotivasi untuk berfikir secara kritis. Terbiasanya peserta didik dengan perkembangan teknologi berupa internet dapat lebih memotivasi peserta didik untuk belajar teknologi sekaligus belajar mata pelajaran melalui kemajuan ilmu pengetahuan dan teknologi, Dalam hal ini peserta didik dapat mengakses e-LKPD melalui Whatsshap.
Diseño Preliminar de una Herramienta Digital Colaborativa para Mejorar el Aprendizaje Teórico de las Prácticas Clínicas en Seguridad del Paciente en el Programa Profesional de Enfermería
Authors: Carolina Vergara Diana , Pilar Vivas Diana
Published: October 2024

De acuerdo con los conocimientos de los estudiantes del programa de enfermería respecto a la seguridad del paciente, surge la necesidad de crear una herramienta la cual los estudiantes puedan consultar en cualquier momento y lugar como lo es el podcast, debido a las extensas jornadas estudiantiles se hace necesario que ellos puedan tener a la mano un recurso el cual les permita reforzar los conocimientos y fomenta el trabajo colaborativo, con base a esto surge la pregunta ¿Cómo se puede mejorar el aprendizaje en el tema de seguridad del paciente en la práctica clínica en los estudiantes de enfermería por medio de herramientas digitales de la web 2.0?, para encontrar respuesta se realizó una encuesta de pre saberes a 10 estudiantes en práctica clínica (lo cual aún está en marcha), con el fin de diagnosticar los conocimientos que tiene respecto al tema de seguridad del paciente, posteriormente se realizó un comparativo de las herramientas de aprendizaje en web 2.0 aplicados en el área de la salud, con lo cual se definió sugerir la herramienta de podcast la cual se diseña para los estudiantes de enfermería de noveno semestre en el programa profesional de enfermería, acerca de la seguridad del paciente en la práctica clínica; posteriormente se describirán los resultados sobre el rendimiento académico de los estudiantes de noveno semestre de una universidad en la ciudad de Medellín, como producto del diseño de un podcast y con esta se hará un comparativo del rendimiento académico de los estudiantes de noveno semestre de enfermería del año 2024 con el estudiante del mismo semestre en años anteriores.
Stability Analysis of the Transmission Model of TB-HIV Co-Dynamics with Vaccination and Treatment
Authors: Toaha Syamsuddin , Sukmawati  , Kasbawati  , Firman  , Wan Muhamad Wan Zuki Azman
Published: October 2024

This study aims to analyse and determine the stability of the equilibrium point of the spread model consists of TB infection, HIV infection, and TB-HIV co-infection disease. This model considers eight compartments, namely unvaccinated susceptible, vaccinated susceptible, exposed, infected with TB, infected with HIV, infected with TB and HIV, treatment, and recovered by considering vaccination and treatment in the compartments as the strategies to manage spread of the diseases. The stability of non-endemic equilibrium point is carried out by determining the basic reproduction number and eigenvalues. Simulation is conducted to investigate effect of vaccination and treatment. By giving appropriate values of parameters and varying values of vaccination rate we found that increasing value of vaccination rate will reduce and eliminate TB infection, HIV infection, and TB-HIV co-infection disease from the population. The curve solutions of the dynamics of each compartment are given to confirm the analytical results.
Digital Advocacy Strategies with Data Analytics Framework: A Case Study for Effective Campaigns
Authors: Minoi Jacey-Lynn , Suleiman Nurellezia , Purnomo Rochmat Aldy
Published: October 2024

This paper presents a case study of a digital campaign on social media to formulate an extensive novel framework using data analytics method to measure the effectiveness of a social media campaign. The Social Media Impact Discovery (SMID) framework is built from the concept of digital advocacy strategies and data analytics techniques, which will provide a systematic approach in both domains to carry-out an effective advocacy campaign. Since the advent of social media such as Twitter in providing platforms for freedom of speech, digital advocacy has become the new approach for delivering campaigns to a wider range of targeted audiences. The use of digital advocacy has generated interest among politicians and advocators to spread their messages across. Despite the numerous and widespread use of digital advocacy, there is still no formal framework that study the success of the technique as end outcomes in terms of the technological aspect of knowledge and the data analytic. The impact of the campaign is evaluated in terms of its effectiveness using deep machine learning methods on the acquired data on social media of a digital campaign. The results have shown that continuous loops using Support Vector Machine (SVM) and the Naïve Bayes classifier support the dynamic approach in the SMID framework to increase campaign effect and is in line with the iterative structure. The loop's cyclical structure is in tune with the shifting user trends and social media user behaviours. The framework's ability to include fresh data and modify models as advocacy campaigns change over time provides a tactical advantage responsive to shifting conditions. Thus, the overall processes of the campaign should be supported with accurate and reliable data to build trust among its audiences. A case study of sexual harassment on Twitter is used to assess the SMID framework’s practicality. It centred on a young Malaysian advocate named Ain Husniza, whose notable catchphrase is #MakeSchoolASaferPlace. For the first time, digital advocacy for sexual harassment campaigns has been used and analysed in this study. It has demonstrated its contribution by amplifying survivors’ voices and fostering online solidarity, with the aim of raining public awareness of the issue and promoting informed policy.
Modification of SMWT for remote heart’s functional capacity determination from oxygen consumption rate
Authors: Othman Mohd Afzan , Md Yassin Siti Norhayati , Abdul Kadir Nurul Ashikin , Abdul Razak Mohd Azhar , Haruna Umar Alhassan
Published: October 2024

Cardiovascular disease (CVD) is series of diseases affects blood circulation and heart which are fatal to human being. CVD patients recorded that every each of them must have at least one among the following behavioural risks: smoking, diabetes, obesity, hypertension, high cholesterol, and sedentary lifestyle. The diagnosis for CVD is commonly through cardiac stress test. It is a test where electrocardiogram will be used to monitor heart activity under induced stress such as walking on treadmill. However, the facilities for the cardiac stress test are very limited and increasing number of patients with potential CVD caused a long queue for an appointment. This situation makes it hard for healthy people living with behavioral risk wanting for their heart to be checked. Therefore, in this paper, we proposed to determine heart functional capacity which can be done anywhere and sufficient to access heart condition. For this proposal, despite using treadmill-test, Six-Minutes Walking Test (SMWT) is utilized. SMWT induces stress while the heart’s endurance parameters such as heart rate is extracted. This study developed an integrated sensor device which comprises of a sensor to detect step count calculate distance, and a pulse sensor that detect heart rate. Then, oxygen consumption rate during the SMWT, is computed. Metabolic equivalent of task (MET) is equal to the oxygen consumption rate during activity over resting oxygen consumption rate. Heart functional capacity classification is about exercise intensity and the MET of SMWT can be compared to the classification which allows this paper to determine heart functional capacity remotely using SMWT. Based on the results, the heart’s functional capacity classification after performing SMWT using sensor device is Class 1, the same when using manual calculation for distance and heart rate. The device sensor somehow produce error at 20.63% when calculating oxygen uptake. Nevertheless, this paper is identified that the SMWT is able to classify the heart’s functional capacity.
Rock Melon Crop Yield Prediction using Supervised Classification Machine Learning on Cloud Computing
Authors: Zakaria Mohamad Khairul Zamidi , Hasan Sazlinah , Latip Rohaya , Irawati Indrarini Dyah , Kumar A.V. Senthil
Published: October 2024

Precision agriculture is a technology-driven approach to farmer to improve their crop yields and reduce costs. One of the major challenges facing farmers today is the lack of precise prediction which leads to decreased production and mismanagement of labour and resource. Precision technology is costly, and they only rely on manual observations which are less precise. Crop yield prediction systems on cloud computing can solve both problems by predicting the harvested fruit at earlier stages of farming and ease farmers to make decisions. In this study, we proposed a crop yield prediction system for farmers that utilizes cloud computing and machine learning techniques. The system uses data on the physical growth of the plant such as plant’s height at 15 and 30 days after transplant, type of pollination treatment, condition of the leaves, and their variety to predict the crop yield at the early stage. Logistic regression, k-nearest neighbour, and random forest classifier were used to compare the accuracy of the model. Our result shows that by using a random forest classifier, it can achieve an accuracy of 91% which is higher than logistic regression which is only 73% of accuracy, and k-nearest neighbour with 82% accuracy. The study highlights the potential of precision agriculture, cloud computing, and machine learning to revolutionize the way farmers manage their crops and increase their efficiency and productivity, even with the limited resources and hardware that many farmers have.
Low Network Power Challenges in IoT-Based Applications in Smart Cities
Authors: Hussain Muhammad Zunnurain , Hanapi Zurina Mohd , Hasan Muhammad Zulkifl
Published: October 2024

The emergence of Internet of Things (IoT) technologies has led to the development of smart cities, potentially improving urban life through efficient and effective use of resources. The success of IoT-based applications in smart cities is contingent on several factors, including network power challenges. Deploying IoT-based applications in smart cities requires a reliable and efficient network infrastructure to ensure smooth and uninterrupted data communication. One of the significant challenges faced in this regard is low network power, which can significantly impact the performance of IoT devices and, consequently, the entire smart city system. This article addresses the issue of low network power in IoT-based applications in smart cities. It investigates the causes of this problem and the potential solutions that can be adopted to mitigate its impact. The article also highlights the importance of network power management in the context of IoT-based applications in smart cities. By implementing effective network power management techniques, it is possible to optimize the performance of IoT devices and extend their battery life, thus ensuring the overall efficiency and sustainability of the smart city system. The article concludes by emphasizing the need for continuous research and development to overcome the challenges of low network power and further enhance IoT technology's capabilities in smart cities.
HDN-Net: A Hybrid Deep Neural Network to Improve Iris Recognition in Unconstrained Environments with Eyeglasses
Authors: Almsaadi Jasem Rahman Malgheet , Manshor Noridayu , Affendey Lilly Suriani , Abdul Halin Alfian , Mirza Mariam Raheem
Published: October 2024

Recently, the use of iris recognition technology for biometric authentication has gained widespread acceptance due to the rich texture of the iris region, which provides a reliable standard for recognising individuals, as well as the non-intrusive nature of this method. However, the presence of eyeglasses poses a significant challenge to the accuracy of such systems. In unrestricted environments, current iris recognition techniques cannot effectively extract distinguishing features of the iris. Eyeglasses introduce scratches, specular reflections, dirt, blurriness, and other noise factors over the image of the iris, resulting in low recognition accuracy. To tackle this challenge, researchers have proposed the HDN-Net architecture. This architecture employs a multi-CNN model to combine the features of both the right and left iris images, extracting more distinguishing features to improve the accuracy of the classification task in the presence of challenges caused by eyeglasses. Experiment results show that the proposed iris recognition system achieves more promising performance compared to previous methods used in this field. The overall performance of our suggested HDN-Net method on the UBIRIS.V2 and CASIA-Iris.V4-1000 databases achieved 97.89% and 98.79% accuracy, respectively. Thus, the proposed HDN-Net method consistently outperforms other traditional and deep learning approaches and has the possibility to improve the accuracy of iris recognition systems (IRS) in real-world scenarios.
OWASP A03 Injection Vulnerability in Web Application Development
Authors: Lim Phei-Chin , Chieng Ging-Wei Andy , Ling Huo-Chong , Jali Nurfauza
Published: October 2024

Web applications are crucial for businesses and individuals by providing efficient communication, collaboration, and access to services and information via browsers, boosting connectedness, productivity, and creativity in the digital era. Insecure web applications pose risks of data breaches, malware, and unauthorized access which jeopardize user privacy, trust, and organizational security. Web developers must be knowledgeable and prepared to deal with common vulnerabilities in web applications. A prototype web application (https://webriska3.tech) with lesson and editor module is developed to train web developers on the Open Web Application Security Project (OWASP) Top Ten security risks, focusing on A03 - Injection vulnerability. OWASP A03 Injection vulnerability is one of the most common vulnerabilities that is at the heart of any database-driven web applications. Evaluation on the prototype in improvement knowledge on A03 – Injection vulnerability, testers are recruited to complete two coding tasks in laboratory environment. 80% of testers mastered Output escaping/encoding defensive technique while Prepared statement/Parameterized Query defensive technique is the hardest to master. The prototype obtained average System Usability Scale (SUS) score of 57 that is below average, indicating issues with the prototype interface. This work showed promising results of increase understanding on A03 Injection vulnerability and implementation skills to protect web application against attack and exploitations.
Hydrothermal Catalytic Transformations of Polymeric Wastes over Zeolite Catalysts Modified with Molybdenum and Tungsten
Authors: Aubakirov Yermek A. , Tashmukhambetova Zheneta K. , Sassykova Larissa , Sendilvelan Subramanian , Akhmetova Firuza Z. , Satayeva Sapura S. , Narenova Saule M.
Published: October 2024

The article is devoted to the study of the adsorption properties and morphology of new composite catalysts based on acid-activated zeolite heulandite-clinoptilolite of the Kazakhstan Taizhuzgen deposit modified with molybdenum salts (NH4)MoO·4H2O and tungsten (NH4)5H5[H2(WO4)6]·H2O, for the process of thermocatalytic hydrogenation of plastic waste. The study of the developed catalyst by the method of adsorption nitrogen porometry demonstrated the presence of typical type IV isotherms, which indicated the formation of a porous adsorbent by multilayer nitrogen adsorption in the mesopores of the catalyst. The adsorption capacity of the structure formed by the catalyst based on zeolite modified with molybdenum and tungsten, due to the presence of predominantly mesoporous cavities, is able to selectively influence the process of hydrothermocatalytic processing of waste polymers based on polyethylene and polypropylene. The pore size distribution indicates the presence of mesopores and an insignificant number of micropores at low pressure. The catalyst samples were tested in the thermocatalytic hydrogenation reaction of polymer waste. Significant gas formation and predominant content of alkanes, isoalkanes, alkenes and aromatic hydrocarbons in liquid products are shown. It is obviously that the main contribution to the transformations made by mesoporous inclusions in the cavities of the zeolite under study formed during their treatment with molybdenum and tungsten salts.
Android-Based App Guava Leaf Diseases Identification using Convolution Neural Network
Authors: Choon Fai Foo  , Tay Kim Gaik , Al-Qershi Osamah , Huong Audrey , Chang Choon Chew  , Alzaeemi Shehab Abdulhabib
Published: October 2024

Guava is an economically significant fruit crop in many regions. Conventional plant disease identification depends on skilled workers visually inspecting samples, which can be laborious and error-prone. Therefore, the goal of this study is to create an Android app that uses InceptionV3 to precisely determine the health of guava plants, with an emphasis on hyperparameter tuning and ideal model selection. Inception V3 was chosen as the base model for this study as it outperformed the 25 pre-trained models from Keras API. The Guava leaves dataset consists of 120 raw images collected from real-time capture and the Google website. The images belong to four categories: Algal Spot, Red Rust, Whitefly, and Healthy leaf. The dataset was split into 60% for training and 40% for validation. To increase the number of images, augmentation was performed to multiply each training by 5 times. The 2048 features were extracted from the second last layer of Inception V3. These features were saved in the Numpy format to facilitate hyperparameter tuning. The best hyperparameter tuning results were achieved with a batch size of 4, a learning rate of 0.001, and the Adamax optimizer for 50 epochs, resulting in a validation accuracy of 0.99. This set of hyperparameters was used to train the model, yielding in a training accuracy of 0.98 and a validation accuracy of 0.9. The trained model was exported in the tflite file format and integrated into an Android app developed using Android Studio. To evaluate the performance evaluation of the app, 15 unseen images per class were used and the app achieved an overall F1-Score of 0.85, a recall of 0.85, a precision of 0.89, and a test accuracy of 0.85.
Efficacy of smear layer removal at apical third of root canal by different irrigation regimens using XP-endo Shaper: an in vitroSEM study
Authors: Varma K Madhu , Mavidi Jagapathi Babu , Satish R Kalyan , Indukuri Sai Lakshmi , Bondada Manishaa , Gadde Praveen
Published: October 2024

Background:Effective root canal therapy relies heavily on irrigation, as it is the sole method capable of reaching the internal anatomy of the root canal that remains inaccessible with mechanical instrumentation.Aim:To compare the efficacy of different irrigation regimes on smear layer removal with XP-endo Shaper at the apical third of the root canal in lower premolars undera scanning electron microscope.Materials and methods:Forty-four human single-rooted lower premolars were collected and decoronated to a standard length. Teeth were categorized into four groups based on the irrigation regimes: distilled water (DW Group), 5.25% NaOCl and 17% EDTA (SE Group), super-oxidised water and 17% EDTA (SPO Group), TWIN KLEEN solution (TK Group). Scanning electron microscopic evaluation was done at 3 mm from the apex to analyse the remaining amount of smear layer. Kruskal-Wallis test and Mann–Whitney U test were employed in this study.Results:On comparing the ability of four different irrigation regimes to remove the smear layer, the SPO and SE Groups showed significantly higher smear layer removal (p<0.05) in the apical third of the root canal system than the TK and DW Groups.Conclusion:In conclusion, the use of sodium hypochlorite or super-oxidised water throughout and post-instrumentation followed by chelator (EDTA) was found to be more efficient compared to a combination of NaOCl and HEBP solution in smear layer removal in the apical third instrumented with XP-endo Shaper.
Gender differences in banana productivity in Tanzania
Authors: Mrema Hildo Ladislaus , Lokina Razack Bakari , Selejio Onesmo
Published: October 2024

Banana is one of the key crops produced by farmers in Tanzania. The productivity of bananas among smallholder farmers is very low. One of the core reasons for this lower agricultural productivity in Tanzania is gender inequality in production. This study aimed to establish gender productivity differences in banana production in Tanzania. The study used panel data and a correlated random effects (CRE) model to determine these differences. It finds a 19% difference in banana productivity in favour of male managers, highlighting their (plot managers') characteristics, input use, and banana plot characteristics. The area of banana cultivation by zones, namely Lake, Northern, Southern Highlands, and Eastern zones, was found to increase banana productivity. The use of organic fertiliser and receiving government extension services have a positive influence on banana productivity. On the other hand, being a female manager, an increase in banana plot area, and an increase in the usage of pesticides have a detrimental effect on banana productivity. The findings of this study suggest the need for proper banana plot management, farmer training on skills such as the timing and amount of inputs that can be applied to banana plots sustainably, and the availability of extension services to all plot managers, regardless of their gender. Additionally, the study advocates for the sustainable use of pesticides by adopting good agricultural practices like Integrated Pest Management (IPM) and using appropriate planting materials that are disease-resistant.
Strategi Indobuggy Dalam Membangun Brand Awareness Mobil Listrik Pada Instagram @Indobuggygroup
Authors: Fernanda Galuh Rifqi , Slamet Parsono
Published: October 2024

The air condition in Indonesia has been deteriorating over the years, partly due to motor vehicle exhaust pollution. Indobuggy is a company in the automotive industry focusing on electric vehicles. The purpose of this study is to understand how Indobuggy builds brand awareness through the Instagram account @indobuggygroup about environmentally friendly electric cars. Indobuggy produces golf carts and electric buses, emphasizing high-quality products, excellent customer service, and a commitment to environmental sustainability through informative educational content posts. This study uses Gelder's (2005) Branding Strategy theory, which includes brand positioning, brand identity, and brand personality. The method used is a qualitative case study, providing a comprehensive and complex overview through data collection techniques such as observation, interviews with three informants, and documentation. The research results show that in brand positioning, Indobuggy positions itself as a company actively educating about electric vehicle technology and making product maintenance easier for consumers. In brand identity, Indobuggy consistently uses a distinctive logo and color tone to create a strong visual identity. In brand personality, Indobuggy presents cinematic and educational content with an exclusive concept to showcase the value and quality of its products. Indobuggy's brand awareness is currently at the brand recognition stage, where consumers recognize and remember the brand but do not fully understand its values and advantages. This study contributes to branding strategies through social media to enhance brand awareness in the automotive industry.
Pengelolaan Isu Bahaya Layangan Di Sekitar Sutet Pada Instagram @PLN.UITJBT
Authors: Shintya Diva  , Martha Tri Lestari  , Rifqi Abdul Aziz
Published: October 2024

Penelitian ini latar belakangi oleh isu bahaya layangan di sekitar SUTET yang menjadi dampak buruk kepada PT PLN (Persero) Unit Induk Transmisi Jawa Bagian Tengah dan melakukan pengupayaan mengurangi isu melalui Instagram yang dikelola oleh humas. Tujuannya adalah menganalisis kekurangan penggunaan Instagram saat mengelola isu tersebut. Studi ini menggunakan metode penelitian kualitatif dengan pengumpulan data melalui wawancara, observasi dan dokumentasi menggunakan konsep 4 Steps PR oleh (Cutlip, Center, and Broom 2009) dan teori Pengelolaan Media Sosial oleh (Chris Heuer, 2009). Hasil yang diperoleh bagaimana humas PT PLN UIT JBT melakukan aktivitasnya pada pengelolaan isu bahaya layangan di sekitar SUTET dan nantinya direalisasikan di Instagram @pln.uitjbt melalui riset, pembentukan perencanaan kerja, komunikasi, dan evaluasi. Pengelolaan Instagram dengan mengelola konteks publikasi konten, komunikasi dengan pesan kredibel, kolaborasi, koneksi dan interaksi. Penelitian ini menyimpulkan PT PLN UIT JBT masih belum optimal dalam mengelola dan menyampaikan informasi isu bahaya layangan di sekitar SUTET pada Instagram @pln.uitjbt, dimana masih kurang meentukan strategi dan mendefinisikan penggunaan Instagram tersebut.
Kebijakan Redaksional Ujung Pandang Ekspress Dalam Menyajikan Berita Politik Pada Portal Online
Authors: Suherli  , Muh Nurqadri Jamal  , Kamsar
Published: October 2024

This research discusses the editorial policy of Ujung Pandang Ekspress in presenting political news. This research aims to find out the editorial policy of Ujung Pandang Ekspres in presenting political news on online portals and knowing the stages in raising political news that will be published on online portals. This research adopts a qualitative research method, which involves collecting data in the form of detailed narratives from respondents. The sources of information in this research include the deputy director, chief editor, and editor. This research utilizes two types of data, namely primary and secondary data. The data collection process included observation as well as interviews. Data analysis was conducted through three main steps: data simplification, data presentation, and conclusion drawing. The results showed that the working mechanism of Ujung Pandang Ekspress (Upeks) Daily in determining political news to be published involves several stages, namely editorial meetings, coverage process, editing process. After the editing process is complete, the editor-in-chief has the authority to determine which political news will be published. Related to these three stages are editorial meetings, reporting, and editing. The editorial policy of Ujung Pandang Ekspreks in presenting political news on the online portal involves several important considerations to determine whether a political news is worth publishing. News eligibility is determined based on the value of the news. Before the news is published, the editor-in-chief holds a meeting involving editors and editors to decide which political news will be published and in the meeting, priority is given to news that is current, factual, and in accordance with the needs of readers.
Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data
Authors: Krishnakumar Harish , Kalmbach J. Bryce
Published: October 2024

Understanding the formation and evolution of ring galaxies, which possess an atypical ring-like structure, is crucial for advancing knowledge of black holes and galaxy dynamics. However, current catalogs of ring galaxies are limited, as manual analysis takes months to accumulate an appreciable sample of rings. This paper presents a convolutional neural network (CNN) to identify ring galaxies from unclassified samples. A CNN was trained on 100,000 simulated galaxies, transfer learned onto a sample of real galaxies, and applied to a previously unclassified data set to generate a catalog of rings, which was then manually verified. Data augmentation with a generative adversarial network to simulate images of galaxies was also employed. The resulting catalog contains 1967 ring galaxies. The properties of these galaxies were then estimated from their photometry and compared to the Galaxy Zoo 2 catalog of rings. However, the model’s precision is currently limited due to a severe imbalance of rings in real data sets, leading to a significant false-positive rate of 41.1%, which poses challenges for large-scale applications in surveys imaging billions of galaxies. This study demonstrates the potential of optimizing machine learning pipelines for low training data in rare morphologies and underscores the need for further refinements to enhance precision for extensive surveys like the Vera Rubin Observatory Legacy Survey of Space and Time.
The OATMEAL Survey. I. Low Stellar Obliquity in the Transiting Brown Dwarf System GPX-1
Authors: Giacalone Steven , Dai Fei , Zanazzi J. J. , Howard Andrew W. , Dressing Courtney D. , Winn Joshua N. , Rubenzahl Ryan A. , Carmichael Theron W. , Vowell Noah , Kesseli Aurora , Halverson Samuel , Isaacson Howard , Brodheim Max , Deich William , Fulton Benjamin J. , Gibson Steven R. , Hill Grant M. , Holden Bradford , Householder Aaron , Kaye Stephen , Laher Russ R. , Lanclos Kyle , Payne Joel , Petigura Erik A. , Roy Arpita , Schwab Christian , Shaum Abby P. , Sirk Martin M. , Smith Chris , Stefánsson Guðmundur , Walawender Josh , Wang Sharon X. , Weiss Lauren M. , Yeh Sherry
Published: October 2024

We introduce the OATMEAL survey, an effort to measure the obliquities of stars with transiting brown dwarf companions. We observed a transit of the close-in (P
orb = 1.74 days) brown dwarf GPX-1 b using the Keck Planet Finder spectrograph to measure the sky-projected angle between its orbital axis and the spin axis of its early F-type host star (λ). We measured λ = 6.°9 ± 10.°0, suggesting an orbit that is prograde and well aligned with the stellar equator. Hot Jupiters around early F stars are frequently found to have highly misaligned orbits, with polar and retrograde orbits being commonplace. It has been theorized that these misalignments stem from dynamical interactions, such as von Zeipel–Kozai–Lidov cycles, and are retained over long timescales due to weak tidal dissipation in stars with radiative envelopes. By comparing GPX-1 to similar systems under the frameworks of different tidal evolution theories, we argued that the rate of tidal dissipation is too slow to have re-aligned the system. This suggests that GPX-1 may have arrived at its close-in orbit via coplanar high-eccentricity migration or migration through an aligned protoplanetary disk. Our result for GPX-1 is one of few measurements of the obliquity of a star with a transiting brown dwarf. By enlarging the number of such measurements and comparing them with hot-Jupiter systems, we will more clearly discern the differences between the mechanisms that dictate the formation and evolution of both classes of objects.