bluuebunny/crossref_metadata_2025 huggingface dataset:
The Value of Professionalism: Implication for Value for Money in Projects Implemented by Force Account Procurement Method in Tanzania
Authors: Kibona Gabriel , Kimario Honest , Kasambala Momole
Published: January 2025

This study aimed to describe the implication of professionalism on Value for Money (VFM) in the construction projects of higher learning  institutions implemented by force account procurement method in Tanzania. Positivism philosophy was employed through collection of  quantifiable facts from the force account team members of the selected higher learning institutions in Tanzania. Census approach was  used to approach 64 members. The data collected was analyzed using ordinal logistic regression at a confidence interval of 95%. The null  hypotheses were rejected implying that knowledge, experience and integrity are the important parameters of professionalism in  implementation of force account projects. Consequently, acknowledgement of professionalism in force account projects realizes VFM in  construction projects. Practically this study shows how knowledge, experience and integrity of force account team members helps to  realize VFM in force account projects in the context of Tanzania. Correspondingly this study has multidisciplinary contribution involving a  blend of management, procurement, and project management. Theoretically, the study enlightens professionalism as a resource  advantage as stipulated by ResourcesBased View Theory. Also, the study contributes to responsible management goal and that of quality  education for all as encouraged by SDGs. This study limited in disclosing the link between professionalism and VFM. Contemporarily,  since environmental issue is a global agenda, it is imperative to include it in this study. Also, Sustainable Development Goals (SDGs)  champion the application of Corporate Social Responsibility. Generally, future studies should focus on the application of CSR in force  account projects.
Leadership Styles and their Influence on Employees’ Job Motivation in Ludewa District Council
Authors: Mchungwa Frank Mosses , Kara Nasra
Published: January 2025

The purpose of this paper is to look into how Tanzania's Ludewa District Council employees feel about their jobs and the impact of  leadership styles. In today's society, it is difficult for firms to make the necessary investments to develop their leadership capabilities. This  study aims to ascertain how Ludewa District Council employees' job motivation is impacted by the leadership styles used by the  organization. Few researches are done in rural locations like Ludewa District. Studies from more urbanized locations may not fully  represent the manner in which the socioeconomic, cultural, and infrastructure aspects of Ludewa District influence leadership styles and  their effect on employee performance. The study specifically looks at how employees' motivation for their jobs is affected by democratic,  transformational, and laissez-faire leadership philosophies. Purposive sampling was used to select representatives from among the 80  respondents whose responses were obtained through questionnaires. The analysis section uses the Statistical Package for Social Sciences  software to examine research goals. The dependent variable was in the nominal scale of measurement. The study  demonstrates that a democratic style of a leader inspires more motivation among Ludewa District Council staff members. It illustrates how a democratic leadership style allows for group engagement and offers all employees an equal chance of conceiving the  understanding and achievement of corporate goals. In order to better suit the work environment and boost employee motivation, which  in turn increases job productivity, the study advises management and leaders at the Council to adopt certain leadership styles.
Association of intestinal helminthic infection and nutritional status of primary school children in Gombe State, Nigeria
Authors: Bakari H. B. , Aliu R. , Manga M. M. , Wasinda S. B. , Usman A. S.
Published: January 2025

Background: Intestinal helminthic infections are among the commonest infections worldwide. It often affects the poorest communities and has similar geographic distribution with malnutrition. Intestinal helminthic infection contributes to undernutrition through subtle reduction in digestion and absorption of food, chronic inflammation and loss of nutrients. The objective of this study is to determine the prevalence of intestinal helminthic infection and its relationship with nutritional status of primary school children in Gombe, Gombe State, Nigeria.
Methodology: This was a cross sectional study of 350 pupils selected through multistage random sampling technique from 24 primary schools in Gombe, Gombe State, Nigeria from July 2018 to January 2019. Demographic information including age, gender, height, and weight were collected from each participant with a designed collection form. The data were analysed using SPSS version 24.0, and presented as frequency distribution and mean ± SD. The Chi-square test (with Odds ratio and 95% confidence interval) was used to test for association between prevalence of helminthiasis and factors such as gender, age group and school type. A p value of less than 0.05 was considered statistically significant at 95% confidence interval.
Results: The prevalence of intestinal helminthic infection was 23.7% (83/350). Eighty (96.4%) of the 83 infected pupils were in public schools while only 3 (3.6%) were in private schools (p<0.001). The prevalence of helminthiasis was significantly higher in underweight pupils (34%, OR=2.113, p=0.0065)) and significantly lower (5.4%, OR=0.1637, p=0.0037) in overweight pupils while the prevalence was not significantly associated with normal weight (p=0.5482) or obesity (p=1.000).
Conclusions: Intestinal helminthic infection is a public health problem in children with adverse significant relationship with nutritional status. Provision of toilet facilities in schools and periodic de-worming of pupils aimed at reducing loss of nutrients from intestinal helminthiasis are recommended.
The synergism of hepatitis B and aflatoxicosis in hepatocellular carcinoma development: A mini-review
Authors: Alao J. O. , Oni M. O. , Bello O. O. , Bejide I. O. , Alao O. J. , Komolafe O. I.
Published: January 2025

Hepatocellular carcinoma (HCC) is the twelfth most common cancer and the fifth leading cause of worldwide cancer-related death. Chronic hepatitis B infection, caused by the hepatitis B virus (HBV) and exposure to aflatoxins is fundamental in the formation of HCC in developing countries. This review of scientific publications aims to establish the detrimental effects of aflatoxin-contaminated foods and highlights the correlation between aflatoxin and hepatitis B viral-associated hepatocellular carcinoma. Research has shown a significant increase in the occurrence of HCC in HBV-infected individuals exposed to fungal toxins. HBV demonstrates the ability to integrate and bind to p53 protein in the host DNA and propagate hepatocyte vulnerability through carcinogenic aflatoxin B1 (AFB1) damage. Although there has been clear evidence about the synergistic interaction of exposure to AFB1 and HBV infection in the induction of HCC, other literature has shown otherwise, mainly because incomplete and vague findings and hypotheses were made in regions where AFB1 and HBV pose a public health risk. Vaccination against hepatitis B and measures such as robust food safety systems to avoid hepatotoxicity and hepatocellular carcinogenesis induced by AFB1 is the most effective methods in the prevention of HCC induced by HBV and AFB.
Comparative evaluation of automated KingFisher Flex Purification System 96 (ThermoFisher Scientific) and manual QIAamp Viral RNA Mini Kit (Qiagen) extraction methods for SARS-CoV-2
Authors: Zouré A. A. , Compaoré T. R. , Beré J. A. , Sagna T. , Soubeiga S. T. , Dabiré C. , Nikiema A. R. , Barro N. , Ouedraogo H. G.
Published: January 2025

Background: The extraction step of the viral material of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) influences the quality of reverse transcriptase-polymerase chain reaction (RT-PCR) results in diagnosis of coronavirus disease 2019 (COVID-19). The purpose of this cross-sectional study was to evaluate the diagnostic performance of the automated extraction system "KingFisher Flex Purification System 96 (ThermoFisher)" compared to the manual method with the "QIAamp Viral RNA Mini Kit (Qiagen)".
Methodology: From October to December 2020, comparative diagnostic evaluation of two methods of SARSCoV-2 RNA extraction methods was conducted on 159 fresh and 120 frozen nasopharyngeal and oropharyngeal specimens collected from travellers and suspected cases or contacts of COVID-19 patients in Burkina Faso. The FastPlexTM Triplex 1-Step COVID 19 Detection Kit (RT-PCR, RNA extraction free) (Precigenome LLC) was used to amplify on the same PCR plate, RNA extracts from manual QIAamp Viral RNA Mini Kit and automated KingFisher Flex Purification System 96 (ThermoFisher) using the QuantStudio5 thermal cycler (Applied Biosystems). Analysis of the diagnostic performance of the SARS-CoV-2 RT-PCR assay following RNA extraction by the two methods was done using an online OpenEpi software.
Results: For fresh samples, the study found a slightly higher RT-PCR positivity rate following manual extraction (12.6%) than automated extraction (9.4%). For frozen samples, the positivity rate was far higher for manual (38.33%) than automated extraction method (20.83%). The results show that the performance of the automated extraction was inferior when compared to the manual extraction for both fresh samples (sensitivity 35%, specificity 94.2%) and frozen samples (sensitivity 43.5%, specificity 93.2%). However, using McNemar Chi-square with Yates correction, there was no significant difference in positivity rate of RT-PCR (x2=0.76, p=0.38) between the two extraction methods for the fresh samples, but there was a significant difference (x2=12.9, p= 0.0003) in the extraction of the frozen samples.
Conclusion: The results of this study showed that KingFisher Flex Purification System 96 (ThermoFisher) automatic extraction method was less sensitive and specific than QIAamp Viral RNA Mini Kit (Qiagen) manual extraction method. This information can serve as guide to laboratories in the choice of RNA extraction methods to use for RT-PCR detection of SARS-CoV-2.
Vaginal carriage of Streptococcus agalactiae among pregnant women in Ouagadougou, Burkina Faso
Authors: Ky/Ba A. , Ouattara A. , Issa T. , Ky A. Y. , Ki C. , Sanou M. , Sanou I.
Published: January 2025

Background: Group B Streptococcus (GBS) is one of the main bacteria responsible of serious neonatal infections. Neonatal transmission is very high at the end of pregnancy between the 34th and 38th week of gestation, and the systematic screening of GBS is strongly recommended in Burkina Faso. The objective of this study was to assess the prevalence of GBS carriage among pregnant women in Ouagadougou, Burkina Faso. Methodology: This was a cross-sectional study of 300 pregnant women in their third trimester of pregnancy, conducted between July and November 2020. Vaginal sample was collected from each of the pregnant women during prenatal consultations. The samples were cultured on blood agar and the isolated pathogens were identified using the BD Phoenix M50 automated system. Antibiotic sensitivity test was performed on each isolate according to the recommendations of the CA-SFM-EUCAST 2020. Results: Of the 300 women, 12 samples were positive for GBS, giving a carriage rate of 4.0%. All the GBS isolates were susceptible to ampicillin, cefotaxime, vancomycin and nitrofurantoin. On the other hand, resistance was encountered against penicillin G, erythromycin and trimethoprim-sulfamethoxazole. None of the risk factors assessed was statistically predictive of vaginal carriage of GBS in the pregnant women. Conclusion: Vaginal carriage of GBS remains relevant. Pending the introduction of an effective vaccine in Burkina Faso, a systematic screening policy for GBS in pregnant women would help reduce perinatal infections from GBS, and the attendant neonatal and infant mortality.
Analysis and insights of groundwater quality and water quality index values with reference to different sources: a case study
Authors: Vamsi B. , Apsar Sk. , Eswar S. , Viraj G. , Chandrsekhar B. , Kiran M. Gopi
Published: January 2025

Groundwater quality variation due to consequent changes in the standard of living of a community is of great unease owing to the fact  that the groundwater is regarded as one of the significant water supply sources available. For the sustainable use of water resources and  water quality management, monitoring and assessment of water quality acts a catalyst for an appropriate judgment on the water quality.  In this study, groundwater samples were collected from Lingayas Institute of Management and Technology (LIMAT), Vijayawada  campus and Mudirajupalem, Krishna district, Andhra Pradesh, India for monitoring and assessing the water quality for alkalinity, total  dissolved solids (TDS), pH, acidity and total hardness (TH) using standard methods. Very high values of pH and TDS were obtained in the  groundwater collected from Mudirajupalem, which is within the vicinity of agricultural fields. Added to this, Student’s t test analysis of  TDS values signposted a noteworthy P value (<0.001) for which the mean difference was substantial statistically. The groundwater  collected from Mudirajupalem further affirmed that the water is unfit for drinking, which is evident from water quality index (WQI) values.  This study emphasizes on implementing various locale specific rainwater garnering schemes, which is one of the solution for  augmenting the groundwater recharge and maintaining the groundwater balance.
The effect of reflux ratio and feed thermal conditions on ethanol-water distillation process performance
Authors: Manyele Samwel Victor
Published: January 2025

Demand for ethanol has increased globally due to the need for energy and consumer chemicals, necessitating use of distillation to  concentrate dilute sources. This paper presents the effect of reflux ratio, number of stages, feed thermal conditions (FTCs), feed composition (XF), and feed plate location on the performance of a normal distillation column separating ethanol-water mixtures ranging  between 0.1 and 0.6 mol/mol. The model was created using Aspen Plus® Software. The FTCs studied include: feed at room temperature  (FRT), partially vaporized feed (PVF), feed at its boiling point (FBP), superheated vapor (SHV) and feed at dew-point (FDP). The  performance factors studied were: distillate composition (XD), reboiler and condenser duties. The axial profiles of temperature and  ethanol concentration in the liquid across the column revealed stronger dependence on XF in the stripping section and on feed plate  location. Increasing reflux ratio increased distillate composition, reboiler and condenser duties. Increasing feed composition increased  distillate composition and lowered reboiler and condenser duties depending on the FTCs. Locating the feed plate further down the  column increased the distillate composition. The QR was highest for FRT while QC values were highest for FTC and SHV. The FBP led to  minimum energy demands for both QR and QC. To minimize energy, switch all FTCs to FBP was recommended, with highest savings  observed for switching from FRT to FBP.
Establishing a Sustainable Cardiothoracic Surgery Program in Rwanda: Conference Proceedings from the 2024 National Cardiothoracic Surgery Symposium
Authors: Ejigu Yayehyirad , Byishimo Bertrand , Twagirumukiza Emile , Neil Kara L. , Nkeshimana Menelas , Remera Eric , Musoni Maurice , Campanella Ciro , Ntaganda Evariste
Published: January 2025

Cardiovascular diseases (CVDs) pose a significant health challenge worldwide, particularly in low-and middle-income countries, including Rwanda. 
A National Cardiothoracic Surgery Symposium was held on February 23, 2024, in Kigali, Rwanda. Bringing together key stakeholders and experts in the field, the Symposium focused on the establishment of a sustainable cardiothoracic surgery program in Rwanda. 
The Symposium discussed current surgical outcomes, program sustainability, early diagnosis and follow-up strategies, and the development of a cardiovascular disease research agenda. The Symposium highlighted the progress made in identifying and managing cardiac diseases in populations of all age groups and at all levels of service delivery in Rwanda. 
The Symposium concluded that Rwanda would continue to bridge knowledge gaps through education and training programs, enhance national and international multidisciplinary collaboration to meet the cardiac healthcare needs of its populations and develop a robust research agenda for informed policy planning.
The Role of Education Leaders in Implementing and Sustaining ICT in Compulsory Education in Morocco
Authors: Lamtara Sana , Bouziane Abdelmajid
Published: January 2025

The COVID-19 pandemic brought about a profound shift in education, underscoring the urgent need for the integration of Information and Communication Technology (ICT) in learning environments. This study investigates the teachers’ perspectives about the role of educational leaders in introducing and sustaining the use of technologies almost three years after the pandemic lockdown. 130 teachers from primary and secondary levels throughout Morocco, who do not anymore use technology, filled a questionnaire enquiring about their challenges and barriers of introducing and sustaining the use of technologies after the pandemic. Findings report that despite the important institutional initiatives in ICT integration in education and the accelerated digital connectivity during Covid-19, Moroccan education still faces major challenges hindering the development of long-term educational technology learning goals. Findings also report that the assets emanating from the efforts deployed during COVID-19 have not been capitalized. This implies that the education leaders need to play a more major role in sustaining technology integration.
Liderazgo de Directoras en EMTP y la Promoción de la Perspectiva de Género en contextos Masculinizados
Authors: Carrasco-Sáez Andrea , Monsalves-Ibarra Sofía
Published: January 2025

El liderazgo de directores/as de establecimientos EMTP tiene múltiples desafíos de gestión, tanto desde lo administrativo como lo pedagógico, pues deben responder a las demandas del ámbito laboral y social. Por otra parte, en términos de roles de dirección escolar en el caso específico de la EMTP los directores representan un número mayor que mujeres en el cargo. En este escenario este artículo tiene como propósito indagar en las características de liderazgo de directoras en educación EMTP y los sesgos que enfrentan en el desafío del cargo directivo. A través de un enfoque cualitativo, se realizó un estudio de casos, se entrevistó en profundidad a 8 directoras de establecimientos educativos EMTP de diferentes especialidades. Los resultados arrojan que las características de liderazgo de directoras se focalizan principalmente en colaboración y trabajo en equipo, escucha activa y toma de decisiones participativas, generación de confianza y cuidado, así como experimentar sesgos por ser mujeres y jóvenes. Destaca la promoción de la perspectiva de género al interior de las comunidades educativas como acciones para enfrentar contextos masculinizados.
The spillover effects of military spending across superpowers using the TVP - VAR approach
Authors: Vo Duc Hong , Tran Minh Phuoc Bao , Cao Phuong Thi Ha
Published: January 2025

The amount of money spent on military activities across superpowers globally has generally caused significant concerns regarding military conflicts, the arms race, economic growth development, security, political stability, and governance. This paper investigates the spillover effects of military spending among the world’s largest spenders on military activities over the period 1997 - 2022. We use the advanced Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to examine these effects, which is not used in the literature on defense economics. Our empirical results indicate the dynamic international spillovers of military spending among eleven countries. We find that the average total dynamic military spending connectedness was at the strongly interrelated level of 83.84 percent, ranging from 89.37 percent to 94.23 percent. Among these eleven, the world's largest spenders on military activities, the USA (China) is the most significant contributor (receiver) of total spillover. At the same time, Australia and Iran transmitted and received the least spillover of military spending.
Supply chain innovation and financial performance in ASEAN manufacturing firms: The moderating role of organisational innovation
Authors: Nguyen Minh Hue , Hoang Hang Thu , Nguyen Dung Van , Trinh Canh Huynh Quang
Published: January 2025

This study investigates the relationship between supply chain innovation and financial performance in ASEAN manufacturing firms. Also, the study examines the moderating effect of organisational innovation in facilitating the impact of supply chain innovation on financial performance. The study utilises data regarding supply chain innovation, firm financial performance, and organisational innovation collected from the WorldBank Enterprise Survey. We employ the multilevel mixed-effects linear model to analyse the hierarchical data structure. The results confirm the important role of supply chain innovation in improving firms’ financial performance in ASEAN countries. Moreover, organisational innovation significantly moderates the relationship between supply chain innovation and firms’ financial performance.
Green banking disclosure: A bibliometric analysis
Authors: Tran Sa Nguyen , Ha Dao Thi Thieu
Published: January 2025

This study uses a bibliometric approach to analyze the influence and productivity of research on green banking disclosure from 1993 to 2023. We utilize the Web of Science Core Collection database to gather the 112 articles, and Biblioshiny software to analyze and visualize bibliometric data to evaluate literature. Through utilizing co-citation, co-authorship, keyword co-occurrence, and science mapping, the results of the study show that the amount of papers published in the field of green banking disclosure has increased dramatically over the past seven years, as have the contributions of many authors, institutions from various countries, and collaboration between researchers from different institutions. The analysis results of the other criteria show that institutional theory, asymmetry information theory, and content analysis were used to study green banking disclosure, which is related to corporate social responsibility and sustainability. This thorough synthesis and analysis of green banking disclosure will add to the body of knowledge in this field by enhancing understanding of the subject and pointing out areas of research deficiency that require attention.
Central Neurocytoma Mimicking a Hemorrhagic Ependymal Cyst
Authors: Kerby II Justin , Albright Scott , Abath Neto Osorio Lopes , Duarte Márcio Luís , Freitas Leonardo Furtado
Published: January 2025

Central neurocytoma (CN) is a rare intraventricular tumor, predominantly affecting young adults without sex predilection. Differential diagnosis includes other intraventricular tumors, emphasizing the need for accurate preoperative diagnosis. Surgical resection remains the cornerstone of treatment, with favorable long-term survival outcomes.
We present a case of CN in a 65-year-old male presenting with diplopia and headache. Magnetic resonance imaging (MRI) revealed a multicystic right ventricular lesion without solid components, asymmetric ventriculomegaly, and evidence of prior hemorrhage. Histopathological examination confirmed CN. This case of an atypical appearing central neurocytoma, lacking solid components or enhancement and with evidence of prior hemorrhage highlights the importance of keeping central neurocytoma on the differential for an intraventricular mass, even when the typical findings are absent. Initial differential considerations were led with more benign entities, like hemorrhagic complications of a choroid or ependymal cyst.
LOST IN SIXTY SECONDS!
Authors: Gorshkov M.
Published: January 2025

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Sentiment Analysis and Comment Network of KompasTV YouTube Video on The First Vice-Presidential Debate In 2024 Presidential Election
Authors: Salsabilla Syifa Ayu , Gema Nusantara Bakry  , FX. Ari Agung Prastowo
Published: January 2025

The 2024 Presidential Election (Pilpres) in Indonesia is a significant event involving vice-presidential candidate debates (Cawapres). This study aims to analyze sentiment and comment networks on KompasTV's YouTube debate video using a Social Network Analysis (SNA) approach. Data were collected from YouTube comments, analyzed using Netlytic and Gephi to identify public sentiment and key actors. Results show that interactions between actors are relatively easy, with positive comments dominating. The word "Gibran" appears most frequently, indicating attention on one candidate. The user fachrurrozinoorkhomarudin1253 has the highest degree centrality, while Lena_Palma has the highest betweenness centrality, indicating significant influence within the network. Conclusion: The Cawapres debate generates active interactions on YouTube, with public sentiment tending to be positive.
PENGARUH PENGEMBANGAN KARIER TERHADAP KINERJA PEGAWAI PT PLN UPT SULSELRABAR
Authors: Azatil Isma Aam , Randa Payangan Otto , Sigit Parawansa Dian Anggraece
Published: January 2025

Career development is a necessity which should continue to be developed within an employee so that it is able to motivate employees to improve performance. This study aims to determine and analyze the influence of career development on employee performance. Data were analyzed by PLS method. Results of the analysis showed that the career development testing positive and significant impact on performance, so that the research hypothesis is accepted.
PERENCANAAN PENGEMBANGAN DESA EKOWISATA BERKELANJUTAN BERBASIS KEARIFAN LOKAL (STUDY KASUS DESA TONGKE – TONGKE)
Authors: Amiruddin Amiruddin , Arifin Zulkifli
Published: January 2025

Ekowisata merupakan bentuk berkelanjutan dari pariwisata berbasis alam, dengan dimensi sosial dan budayanya. Potensi sektor dapat meningkatkan ekonomi masyarakat di tingkat lokal, desa wisata berbasis kearifan lokal merupakah salah satu upaya untuk mensinergikan antara pemerintah desa dan warga masyarakatnya untuk peduli dan berpartisipasi dalam mengelola sumberdaya wisata. Tujuan penelitian ini adalah menggali setiap potensi dan merencanakan ekowisata berkelanjutan berbasis kearifan lokal. Penguatan metode dengan pendekatan deskriptif kualitatif dalam menginterpretasikan perspektif subjek, penguatan observasi, literatur review dan interpretasi analisis potensi.  Perencanaan pengembangan desa ekowisata yang berbasis kearifan lokal diharapkan dapat meminimalisir hambatan pengembangan wisata dengan tetap mempertahankan dan menjunjung tinggi budaya lokal, sehingga memiliki penciri sesuai dengan keasliannya. Pendalamannya mengambil locus kawasan wisata Desa Tongke-Tongke, Kabupaten Sinjai, Sulawesi Selatan. Hasil penelitian menunjukkan bahwa elemen penting dalam perencanaan pengembangan ekowisata berbasis kearifan lokal adalah sumber daya dari pemerintah, tokoh masyarakat, kemudian partisipasi dan keterbukaan masyarakat yang sadar akan pentingnya pengetahuan untuk perencanaan pengembangan ekowisata berkelanjutan.
KOMUNIKASI ORGANISASI PADA DINAS KESEHATAN KABUPATEN SINJAI
Authors: Hatta Sukarno , UMAR USNIDA
Published: January 2025

Tujuan dari Penelitian ini, untuk menjelaskan penerapan Komunikasi Organisasi yang diterapkan pada Dinas Kesehatan kabupaten Sinjai. Selain itu penelitian ini bertujuan khusus untuk mengetahui bentuk komunikasi organisasi secara internal dan komunikasi organisasi secara eksternal yang diterapkan oleh pegawai Dinas Kesehatan Kabupaten Sinjai. Metode penelitian yang digunakan dalam penelitian ini, yakni metode penelitian secara kualitatif dengan wawancara langsung terhadap koresponden yang terkait langsung.
Penelitian yang telah dilakukan menunjukkan bahwa bentuk komunikasi organisasi yang diterapkan pada Dinas Kesehatan kabupaten Sinjai secara umum meliputi bentuk komunikasi organisasi interaksional dan transaksional. Komunikasi yang diterapkan oleh pegawai Dinas kesehatan dengan jalan melakukan interaksi berupa hubungan yang terjalin antara dua atau beberapa orang dalam rangka mencapai tujuan organisasi begitupun dengan persoalan atau kendala yang ada dalam organisasi atau instansi yang menuntut adanya pembenahan terhadap komunikasi yang terjadi. Ada dua bentuk komunikasi pada Dinas kesehatan kabupaten Sinjai, yakni Komunikasi Organisasi secara Internal dan Komunikasi organisasi secara Eksternal. Komunikasi Organisasi secara Internal Yaitu Komunikasi yang terjadi dan berlangsung dalam ruang lingkup organisasi Dinas kesehatan kabupaten Sinjai berupa komunikasi vertikal, Komunikasi Horisontal dan komunikasi Diagonal. Adapun bentuk komunikasi organisasi secara Eksternal berupa pemberian pelayanan tentang kesehatan, kegiatan-kegiatan penyuluhan bidang kesehatan serta kegiatan penyaluran bantuan obat-obatan atau fasilitas medis kepada masyarakat.
HUBUNGAN KINERJA PELAYANAN PUBLIK TERHADAP INDEKS KEPUASAN MASYARAKAT
Authors: Jaya Subhan , Solong Aras
Published: January 2025

Penelitian ini berjudul Hubungan Kinerja Pelayanan PublikTerhadap Indeks Kepuasan Masyarakat. Tujuan penelitian ini untuk  mengetahui apakah terdapat hubungan secara positif dan signifikan antara kinerja pelayanan publik dengan indeks kepuasan masyarakat.
Dalam penelitian ini digunakan pendekatan kuantitatif yaitu penelitian ini memiliki tujuan sebagai penumpulan data atau bahan konkret terperinci kemudian akandilihat apakah terdapat hubungan antara kinerja pelayanan publik dengan Indeks Kepuasan Masyarakat.
Metode pendekatan yang digunakan adalah kuantitatif merupakan perhitungan yang dipakai saat meneliti melalui pengukuran parameter terhadap variabel yang diteliti hingga didapatkan representasi antara masing – masing variabel yang hendak diteliti.
Hubungan kinerja pelayanan publik dengan Indeks Kepuasan Masyarakat yakni memiliki hubungan yang kuat. Dimana dapat dilihat dari hasil pengujian hipotesis penelitian dengan menggunakan analisis korelasi pearson atau korelasi product moment dan didapatkan hasil bahwa nilai pearson correlation sebesar 0,756 dan berada diantara interval nilai koefisien 0,60–0,799 dengan demikian dapat di interpretasikan bahwa terdapat hubungan yang kuat antar kinerja pelayanan publik dengan indeks kepuasan masyarakat.
Hubungan secara positif dan signifikan ini dijelaskan berdasarkan pada nilai hasil uji t variabel kinerja pelayanan publik yaitu nilai thitung 11,119 yaitu > nilai ttabel 1,98397. Sehingga hipotesis nol  (H0) ditolak dan hipotesis alternatif (Ha) diterima. dan dapat ditarik kesimpulan bahwa variabel kinerja pelayanan publik memiliki hubungan secara positif dan signifikan dengan variabel indeks kepuasan masyarakat
Effective Interaction and Continuous Meetings Among Student-Teacher-Parent for Improving the Quality of Education for Primary School Students
Authors: Zhenxiong Lin , Sirathanakul Kumron , Dou Wen , Ting Li , Lushan Lei
Published: January 2025

Objectives: The objective of this paper is to explore the importance of structured interactions and regular meetings between students, teachers, and parents in enhancing the quality of education in primary schools. It aims to examine how these interactions improve communication, collaboration, and overall academic outcomes for students, while also fostering a supportive environment that contributes to their personal development.
 
Methods: This study employs a qualitative approach, analyzing case studies and reviewing existing literature on communication strategies within primary school education. The research focuses on the effectiveness of regular meetings between teachers, parents, and students, examining how these interactions support students' academic growth, engagement, and well-being. It also investigates various strategies for fostering communication, including the use of technology and establishing clear channels of communication.
 
Results: The findings suggest that regular meetings between teachers, parents, and students have a positive impact on student performance, engagement, and overall well-being. Teachers gain valuable insights into students’ needs, enabling more tailored instruction, while parents become more actively involved in their child's educational journey. Furthermore, students receive continuous support, contributing to better academic outcomes and a more cohesive learning environment. Case studies highlight instances where such collaborative efforts have led to marked improvements in student achievement and personal development.
 
Conclusion: The study concludes that effective communication and collaboration among teachers, parents, and students are essential for improving the quality of education in primary schools. Regular meetings create a cohesive support system that nurtures academic excellence and holistic development. By establishing clear communication channels and promoting trust and transparency, schools can foster a collaborative environment that benefits students both academically and personally.
Isolations and Characterization of Novel Bacterial Species from Cyprinus Carpio and Its Use in Biodegradation of Polystyrene with Emphasis on SDG 3 for Ensuring Healthy Lives and Well-Being for All Humans and Animals
Authors: Pilipović Nikola , Marković Teodora , Dragačević Luka , Rajić Nevenka , Popović Mina
Published: January 2025

Objective: This research aims to investigate the feasibility of employing beneficial bacterial species present in the gastrointestinal tract (GIT) of common carp (Cyprinus carpio) in order to biodegrade microplastics (MP), which can provide healthy lives for both humans and animals.  
 
Theoretical framework: the main concept in this research is that the bacterial communities found in (GIT) of both people and animals can produce beneficial effects. Microorganisms that are beneficial to the host and are typically found in GIT are generally referred to as probiotics:
 
Method: The 16S rRNA sequencing method was utilized to determine the species present in the bacterial community of Cyprinus carpio. The novel species Hafnia parallel UUNT_MP29 was utilized to conduct the biodegradation investigation. PS was used as the sole source of carbon.
 
Discussion and the Results: During the PS batch experiment, this strain reached its highest point on the fifteenth day, displaying an incubation rate of 1.3x108 CFU/mL. Following that, the microbe entered a stationary phase, which it remained in until the experiment was finished on the 20th. According to the results, this strain appears to be a new indigenous variation capable of biodegrading PS compounds.
 
Originality/Value: This study contributes to the existing body of knowledge by discovering bacterial species from common carp that have the potential to degrade PS. The possible application of Hafnia paralvei UUNT_MP29 in the rehabilitation of wastewater polluted by microplastics demonstrates the significance and utility of this research.
Securing AI Models: Cryptographic Approaches to Protect AI Algorithms and Data
Authors:   Cyber Security Engineer Sr. Consultant, USA, Pasunuru Sreekanth , Malipeddi Anil Kumar
Published: January 2025

This paper addresses the growing necessity of protecting AI models and their underlying data using cryptographic techniques. As AI continues to integrate
into critical industries such as healthcare, finance, and autonomous systems, unique vulnerabilities arise that expose models to threats like data poisoning,
adversarial attacks, and model inversion. By applying cryptographic methods like homomorphic encryption, differential privacy, and secure multiparty
computation, organizations can safeguard both the integrity and confidentiality of AI models and training data. This white paper provides insights into
these cryptographic approaches, detailing how each can protect against specific threats while maintaining model performance and compliance.
Reliable Financial Partner data Handling with Webhooks and Claim Check Mechanisms using DataPower and Kafka
Authors:   USA, Shirdi Botla Gomathi
Published: January 2025

The financial services sector faces significant challenges in safeguarding sensitive transactional data amidst rising concerns of digital fraud and data
breaches. Webhooks, Claim Check mechanisms, and robust encryption/decryption methods have emerged as critical solutions to these challenges.
Leveraging DataPower and Kafka technologies enhances the reliability and security of financial transaction processing in real time environments. This
paper investigates how these technologies can address the real time problems faced by banks and financial institutions, including secure data handling,
fraud prevention, and efficient data management. It discusses potential implementations and provides a conceptual framework for integrating these
solutions into existing banking infrastructures.
Neural Network-Based Customer Behavior Modeling for Dynamic Conversion Funnel Optimization in Digital Retail
Authors:   USA, Reddy Pathe Anirudh
Published: January 2025

The need to increase conversion of traffic in using the different platforms and touching points from the digital retail environment cannot be over emphasized.
Some of the conventional status that are generally utilized in conversion optimization fail to capture the intricate and dynamic paths made by customers
in their engagement with Internet shops. In order to capture this dynamic behavior of the customers in the conversion funnel, this paper presents a novel
method based on neural networks. Besides, by using Artificial Neural Networks (ANNs) for the machine learning process, this model makes real-time
predictions of the customer activity and reveals proper key moments for retailers to influence the customer’s decision-making process to optimize customer
experience. These findings show that the application of the neural network model improves the accuracy of the representations of the customer behavior
to allow for the provision of the best conversion strategies that increase sales productivity.
Enhancing Digital Literacy for Business Development in Micro, Small, and Medium Enterprises (MSMEs) through Banking Initiatives at the Rural Level in Indonesia
Authors: Rujitoningtyas Choirun Nisaa , Nugraha Erik Ridha , Laksana Himawan Dwi , Apriyanto Yugi , Dewi Nurma Gupita
Published: January 2025

The advancement of digital technology has presented significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand their market reach and enhance operational efficiency. However, limited digital literacy, particularly in rural areas of Indonesia, poses a critical barrier to leveraging these opportunities. This study explores the role of banking initiatives in enhancing digital literacy among rural MSMEs, focusing on their impact on business development. Through a mixed-methods approach involving surveys and interviews with MSME owners, banking representatives, and local stakeholders, the study identifies key challenges in digital adoption, such as lack of access to technology, inadequate training, and low awareness of digital tools. It also highlights successful banking-led programs, including digital financial literacy workshops, mobile banking services, and partnerships with local governments. The findings demonstrate that targeted banking initiatives significantly improve MSMEs' ability to integrate digital tools into their operations, leading to increased revenue, broader market access, and improved financial management. This paper concludes by emphasizing the importance of collaborative efforts between banks, governments, and community organizations to sustain digital literacy efforts and foster rural MSME growth in IndonesiaKeywords: Digital Literacy, Micro, Small, and Medium Enterprises (MSMEs), Business Development, Rural Banking Initiatives.
Implementation of Interactive Learning Media Utilizing Quizizz at SMAN 2 Rambah
Authors: Yunita Nova , Amelia Chandra Detri
Published: January 2025

The aim of this research is to find out how effective the use of Quizizz-based interactive learning media is by class XI Science students at SMAN 2 Rambah in the Informatics subject with computer network material. A quantitative method was used, with a questionnaire created by the school's Guidance and Counseling (BK) teacher to measure the level of student boredom before and after Quizizz. A Likert scale was used for data collection. Descriptive analysis, normality test, homogeneity of variance test, and difference test (paired sample t-test) were used to analyze the data obtained. All these techniques are used with the help of the SPSS program. The results show that Quizizz increases student participation in learning and significantly reduces student boredom. Before Quizizz was used, the average burnout score was 41.96. However, after use, this score dropped to 19.79. It was shown by the difference test that this difference was significant (p < 0.05). With this reduction in boredom levels, it is clear that Quizizz not only makes learning more interesting, but also makes learning fun and competitive. However, obstacles such as teachers' limited digital skills and difficulties in obtaining technology in remote areas still need to be overcome. According to this research, Quizizz can be a great interactive learning tool that gets students more engaged in learning, especially in high school.
Development of the ENC Android Application for Electronic Nursing Care
Authors: Minanton Minanton , Khoirunnisa Nurfitria , Agustina Habsyah Saparidah
Published: January 2025

The rapid digitalization of the healthcare sector is transforming nursing education and practice, particularly in the area of clinical documentation. In Indonesia, as mandated by Peraturan Menteri Kesehatan Nomor 24 Tahun 2022, all healthcare facilities must document patient medical histories electronically. However, nursing students face challenges in practicing electronic documentation due to limited access to hospital-based EMR systems. This study aims to develop an Electronic Nursing Care (ENC) application as an Android-based platform for nursing students to practice digital documentation aligned with national nursing standards, such as SDKI (Indonesian Nursing Diagnosis Standards), SLKI (Indonesian Nursing Outcomes Standards), and SIKI (Indonesian Nursing Interventions Standards). The ENC application was developed using an Agile methodology, consisting of five sprints: backend development, core features, UI/UX integration, advanced features, and comprehensive internal testing. A 2023 prototype trial demonstrated high user satisfaction, with 93% of students expressing satisfaction with the app’s user interface and experience. The ENC application was designed to reduce the administrative burden on nursing students by offering tools for documenting the nursing process, including assessment, diagnosis, planning, implementation, and evaluation. The initial results indicate that the application meets technical specifications and has the potential to enhance nursing education by providing a structured, user-friendly platform for digital documentation. The study suggests further pilot testing in clinical settings, development of additional features, and ongoing evaluation to ensure the application’s success in nursing education and clinical practice.
Comparative Analysis of Earthquake Prediction with SVM, Naïve Bayes, and K-Means Models
Authors: Muttaqin Ahmad Fadhiil , Sunge Aswan Supriyadi , Zy Ahmad Turmudi
Published: January 2025

Earthquakes are natural disasters with significant impacts on people and the environment, so effective methods for prediction are needed to improve preparedness and risk mitigation. This study analyzes the performance of three algorithms Support Vector Machine (SVM), Naïve Bayes, and K-Means in predicting earthquakes in Indonesia using a dataset containing 4,645 historical data from BMKG processed through preprocessing, data separation, analysis, and performance evaluation with RapidMiner tools. The results show that SVM has the best performance with 99.87% accuracy, 99.83% precision, and 95.61% recall, making it highly relevant for earthquake prediction. Naïve Bayes achieved 90.31% accuracy and 95.08% recall, but the low precision (57.24%) shows the limitations of this model. K-Means successfully clusters earthquakes into two categories: small (3,661 data) and large (55 data) earthquakes, with a Davies-Bouldin Index value of 0.579, reflecting good clustering quality. Based on these results, SVM is recommended as a superior earthquake prediction model, while Naïve Bayes and K-Means are more suitable for additional analysis. This approach confirms the potential of machine learning algorithms in supporting future earthquake risk mitigation.
Enhanced Plant Disease Detection Using Computer Vision YOLOv11: Pre-Trained Neural Network Model Application
Authors: Al Husaini Muhammad , Rachmat Raharja Agung , Cahaya Putra Vito Hafizh , Lukmana Hen Hen
Published: January 2025

This study investigates the application of YOLOv11, a cutting-edge deep learning model, to enhance the detection of plant diseases. Leveraging a comprehensive dataset of 737 images depicting tomato leaves affected by various diseases, YOLOv11 was trained and evaluated on key performance metrics such as precision, recall, and mAP. Experimental results the model was trained and evaluated on key metrics including accuracy (75.6%), precision (0.80), recall (0.77), and mAP@0.5 (75.6%). Experimental through base architectural such as enhanced feature extraction with C2 modules, improved multi-scale detection using SPPF layers, and optimized non-maximum suppression techniques. These improvements enable the model to achieve stable precision and recall for each class, even in challenging scenarios with overlapping objects and diverse environmental conditions. By addressing practical usability challenges, this system offers a scalable, accessible, and impactful solution for precision agriculture, paving the way for sustainable with this pretrained model. This study underscores the potential of deep learning-based models, particularly YOLOv11, in transforming the way monitoring and disease management are approached, demonstrating its ability to stable accuracy and operational efficiency in real-world applications. Furthermore, the practical usability of the YOLOv11-based system addresses challenges in the domain of precision plant detection desease. By providing a scalable, accessible, and highly efficient solution, the model offering a significant advancement toward sustainable agricultural practices.