bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Sürecinde Diyabet Hemşirelerinde Empatik Eğilim Düzeyinin Hasta Merkezli Bakıma ve Diyabet Hastalarında Glisemik Düzeye Etkisinin İncelenmesi
Authors: Arda Sürücü Hamdiye , Sungur Meltem , Olgun Nermin
Published: October 2023

Amaç: Bu çalışmada COVID-19 sürecinde diyabet hemşirelerinde empatik eğilim düzeyi, hasta merkezli bakım ve diyabet hastalarının glisemik düzeyi arasındaki ilişkiyi incelemek amaçlandı.

Yöntem: Bu araştırma, kesitsel ve tanımlayıcı tipte yapıldı. Araştırma, 01.06.2021-30.12.2021 tarihleri arasında COVID-19 pandemi süreci nedeniyle online anket oluşturularak (google.docs uygulaması) sosyal medya platformunda (Whatsapp) yürütüldü. Çalışmanın örneklemini 92 diyabet hemşiresi ve 920 diyabet hastası oluşturdu. Veriler; hemşire ve hastalar için Kişisel Tanıtım Formu, Hemşireler İçin Jefferson Empati Ölçeği (HÖİJEÖ) ve Hasta Merkezli BakımYetkinliği (HMBY) Ölçeği kullanılarak toplandı. Veriler, bilgisayarda SPSS 20.0 programı kullanılarak değerlendirildi. Çalışmada veri özelliğine göre Mann-Whitney U testi, bağımsız gruplarda Student t testi ve Pearson Korelasyon analizi uygulandı.

Bulgular: COVID-19 sürecinde diyabet hemşirelerinin empatik eğilim düzeyleri ve HMBY puanının yüksek olduğu belirlendi. Diyabet hemşirelerinin empatik eğilim düzeyi ile diyabet hastalarının A1c düzeyi arasında anlamlı bir ilişki belirlenmedi (p>.05). Lisansüstü eğitime sahip diyabet hemşirelerinin, lisans mezunu hemşirelere göre empatik eğilim düzeyinin istatistiksel olarak daha yüksek olduğu bulundu (p
The Change in the Thoughts and Feelings after the Orientation Education of Nurses Starting Work during the COVID-19 Pandemic
Authors: Çalışkan Figen , Ozdemir İrem Nur
Published: October 2023

Objective: The aim of this study was to determine the change in the thoughts and feelings after the orientation education of nurses who started work during the COVID-19 pandemic.
Methods: This research was designed as a semi-experimental study with a single group applied with pre-test and post-test. The study was conducted with 358 nurses. The data were collected using the “Nurse Info Form”, “Pre-Orientation Evaluation Form” and “Post-Orientation Evaluation Form”. Approval for the study was granted by the Clinical Research Ethics Committee and permission was also received from the institution where the study was conducted. Data obtained in the study were analyzed statistically using Number Cruncher Statistical System Statistical Software (Utah, USA).
Results: In the examination of the positive feelings, there was seen to be a statistically significant increase after the orientation education compared to before concerning feeling self-motivated, satisfied, and safe. In the examination of the negative feelings, there was seen to be a statistically significant decrease after the orientation education compared to before concerning feeling anxious.
Conclusions: The planning and application of orientation education taking the thoughts and feelings of nurses into account will facilitate adaptation to work.
Cerrahi Hastalıkları Hemşireliği Dersinin Klinik Rotasyonuna İlişkin Öğrenci Görüşlerinin Öz Düzenlemeli Öğrenme Becerileri ve Öz-Yeterlik Algılarına Etkisi
Authors: Soyer Er Özlem , Ciğerci Yeliz
Published: October 2023

Amaç: Cerrahi hastalıkları hemşireliği dersi kapsamında hemşirelik öğrencilerine uygulanan klinik rotasyona ilişkin görüşlerinin öz düzenlemeli öğrenme becerileri ve öz-yeterlik algılarına etkisinin belirlenmesi amaçlandı.

Yöntem: Tanımlayıcı tipte olan bu çalışma 115 hemşirelik öğrencisi ile yürütüldü. Veriler Sosyodemografik Özellikler Formu, Klinik Rotasyon Uygulamalarına İlişkin Görüş Formu, Öz Düzenlemeli Öğrenme Ölçeği ve Klinik Performansta Öz-Yeterlik Ölçeği ile toplandı. Verilerin analizinde ortalama, standart sapma, sayı ve yüzdelik değerlendirildi. Student’s t, Mann Whitney U ve one way ANOVA testi uygulandı.

Bulgular: Öğrencilerin 4.32±0.7 önem düzeyi ile en fazla rotasyon yapılan alanda birlikte çalıştığı sağlık çalışanı ve öğretim elemanının motivasyonunu etkilediği belirlendi. Rotasyona ilişkin olumlu görüşü olan öğrencilerin; öz düzenlemeli, ölçek alt boyutlarından motivasyon ve öğrenme sentezleri alt boyutu, klinik performansta öz-yeterlik ölçeği puan ortalaması rotasyona ilişkin görüşü olumsuz olan öğrencilerden daha yüksek olduğu ve puan ortalamaları arasında istatistiksel olarak anlamlı fark olduğu bulundu (p
Climate Change Awareness in Pregnant Women: A Qualitative Study
Authors: Toptaş Acar Belma , Gerçek Öter Emine
Published: October 2023

Objective: This study was conducted to determine the awareness of climate change in pregnant women.
Methods: In this study, a qualitative research approach was adopted. A phenomenological research design was used to conduct the study. The research was carried out with pregnant women who applied to the pregnant outpatient clinic of Aydın Adnan Menderes University Hospital between 01.09.2022 and 15.09.2022. With qualitative research, a semi-structured interview form prepared by the researchers was used to determine the climate change awareness among pregnant women. A total of 12 pregnant women were interviewed by audio recording. Interviews were analyzed using the MAXQDA 2022 program. The thematic analysis of the interviews identified 6 main themes. While analyzing the data, descriptive analysis technique was used. This study was based on COREQ guidelines for reporting qualitative research.
Results: It has been seen that most of pregnant women follow the news and developments about climate change occasionally. Pregnant women, who stated that the causes related to climate change are generally caused by humans, expressed the necessity of educating people and raising their awareness in taking precautions against climate change. It was found that the knowledge of pregnant women about the impact of climate change, which negatively affects health in many ways, on maternal and child health during pregnancy was incomplete and insufficient.
Discussion: It was determined that the awareness of pregnant women about climate change was formed but was not sufficient. It is thought that the study will support the literature in raising awareness about climate change.
Determination of Nursing Students' Fear of COVID-19, Intolerance of Uncertainty and Coronavirus Anxiety: A Cross-Sectional Study
Authors: Yılmaz Eker Pınar , Topal Hançer Ayşe
Published: October 2023

Objective: This study aimed to determine the fear of COVID-19, intolerance of uncertainty and coronavirus anxiety in nursing students who switched from online education to face-to-face education.

Methods: It is a descriptive cross-sectional study. Demographic information form, fear of COVID-19 scale, intolerance of uncertainty scale, coronavirus anxiety scale were used. This research was carried out an university at the Faculty of Health Science Nursing Department and Health School Nursing Department in the 2021-2022 academic year. Our study was completed with a total of 788 students who agreed to participate in the study. The data obtained from our study were evaluated with the SPSS 25.00 package program. The significance level was accepted as p
The Ada Beater: Improving the Quality of Handmade Paper in Ghana
Authors: Adashie Michael , Kushiator George , Ayim Bertha
Published: October 2023

Handmade paper has been around for centuries. In Asia, Europe, and other parts of the world, the means of creating handmade paper depend largely on traditional equipment and other industrial machines. In Ghana, the means of creating handmade paper is through a tedious process of hand beating the bast fiber of the Kyenkyen tree. This resulted in the production of a proto-paper known as the bark cloth. This traditional method has almost become extinct with the influx of imported industrial papers. Therefore the purpose of this study was to seek a solution to this problem through the possible design and fabrication of a paper pulp-making machine daubed the Ada Beater. Thus getting vital tools for making art, print, and papermaking. The paper explored practice-based research methodology to fabricate a papermaking machine known as the Ada Beater. The results showed that the machine can be fabricated and made to produce improved papers of archival quality derived from various plant sources in Ghana. It is recommended that this homegrown know-how should be made available to artists and art teachers for the teaching and use of handmade paper for artistic purposes.

Keywords: Beater, Fibrillation, Flocculate, Roller, Blades, Maceration, Pulp
Infective endocarditis: prevention strategy and risk factors in an animal model
Authors: Mitov Gergo , Kilgenstein Roman , Partenheimer Philipp , Ricart Serge , Ladage Dennis
Published: October 2023

Introduction: Infective endocarditis is a serious infection of the endocardium, especially the heart valves, which is associated with a high mortality rate. It generally occurs in patients with altered and abnormal cardiac architecture combined with exposure to bacteria from trauma and other potentially high-risk activities with transient bacteremia.

Aim: The aim of the study was to develop a reproducible periodontitis-endocarditis model in a rat that can be used to answer the question of how the administration of antibiotic prophylaxis before tooth extraction affects the prevalence of bacteremia and the incidence of endocarditis.

Materials and methods: Thirty-five female Wistar rats were divided into three groups: periodontitis group (PG): ligatures were placed bilaterally on maxillary first molars, and the maxillary molars were extracted after 30 T; endocarditis group (EG): in addition to PG, aortic valve injury was performed with simulated prosthetic material before extraction; antibiotic prophylaxis group (AG): in addition to EG, a single-shot antibiotic administration was performed 30–60 minutes before extraction. Periodontal indices were collected, blood samples were microbiologically analyzed. Hearts were examined histologically after euthanasia.

Results: On the day of extraction, 93% of the ligatures were still in situ. The average approximal plaque index of maxillary first molars was 92%. The average papilla bleeding index according to Saxer and Mühlemann of the first molar in the first quadrant was grade 3, in the second quadrant – grade 2. The average probing depth of the first molar in the first quadrant was 3 mm, in the second – 2 mm. Endocarditic changes were identified in 20% in the AG group, 60% in the EG, and 0% in the PG control group. A successful model was developed by reliably developing endocarditis and periodontitis. Specific marker germs for periodontitis could be detected in blood cultures. The effectiveness of antibiotic prophylaxis prior to tooth extraction in groups at risk of endocarditis has been demonstrated in animal models.

Conclusions: In the present experimental animal study, a reproducible model could be developed by creating a manifest periodontal lesion, which, in connection with an aortic valve lesion and a tooth extraction, triggers bacteremia.

Clinical relevance

The model could act as a basis for further studies on the topic to answer remaining questions related to oral pathogens and IE.
Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care
Authors: Cheng Kai , Wang Jiangtao , Liu Jian , Zhang Xiangsheng , Shen Yuanyuan , Su Hang
Published: October 2023

Breast cancer remains a significant public health issue, being a leading cause of cancer-related mortality among women globally. Timely diagnosis and efficient treatment are crucial for enhancing patient outcomes, reducing healthcare burdens and advancing community health. This systematic review, following the PRISMA guidelines, aims to comprehensively synthesize the recent advancements in computer-aided diagnosis and treatment for breast cancer. The study covers the latest developments in image analysis and processing, machine learning and deep learning algorithms, multimodal fusion techniques and radiation therapy planning and simulation. The results of the review suggest that machine learning, augmented and virtual reality and data mining are the three major research hotspots in breast cancer management. Moreover, this paper discusses the challenges and opportunities for future research in this field. The conclusion highlights the importance of computer-aided techniques in the management of breast cancer and summarizes the key findings of the review.
Neuroeconomics: Hype or Hope? An Answer
Authors: Truc Alexandre
Published: October 2023

In June of 2010, a special issue in the Journal of Economic Methodology was introduced with the question: “Neuroeconomics: Hype or Hope?” (Marchionni and Vromen, 2010). More than ten years later, it is time to provide an answer. Using a variety of sources ranging from Web of Science to EconLit, I assess the importance of neuroeconomics as a research program in economics. I show that after a rapid increase in interest in the early 2000s, neuroeconomics decreased in importance beginning in the 2010s, especially compared with the continuing rise of behavioral economics. Here, I explore a number of explanations for this decline in interest. Then, I compare neuroeconomics with behavioral economics to emphasize key points of divergence in how these programs were constructed at the frontiers of economics. Most notably, I show that neuroeconomists were more confrontational in their approach to economics, more focused on programmatic writings with few theoretical contributions, and importantly, more oriented towards neuroscience rather than economics.
Bed Rest Reduction Following Cardiac Catheterizations Using Vascular Closure Devices
Authors: Tuozzo Kristin A. , Morris Reena , Moskowitz Nicole , McCauley Kathleen , Babaev Anvar , Attubato Michael
Published: October 2023

Background

Bed rest duration following deployment of a vascular closure device after transfemoral left-sided cardiac catheterization is not standardized. Despite research supporting reduced bed rest, many hospitals require prolonged bed rest. Delayed ambulation is associated with back pain, urine retention, difficulty eating, and longer stay.

Objective

To study length of stay, safety, and opportunity cost savings of reduced bed rest at a large urban hospital.

Methods

A single-site 12-week study of 1-hour bed rest after transfemoral cardiac catheterizations using vascular closure devices. Results were compared with historical controls treated similarly.

Results

The standard bed rest group included 295 patients (207 male, 88 female; mean [SD] age, 64.4 [8.6] years). The early ambulation group included 260 patients (188 male, 72 female; mean [SD] age, 64 [9.3] years). The groups had no significant difference in age (t634 = 1.18, P = .21) or sex (χ12=0.2, P = .64). Three patients in the standard bed rest group and 1 in the early ambulation group had hematomas (P = .36). The stay for diagnostic cardiac catheterizations was longer in the standard bed rest group (mean [SD], 220.7 [55.2] minutes) than in the early ambulation group (mean [SD], 182.1 [78.5] minutes; t196 = 4.06; P < .001). Stay for percutaneous coronary interventions was longer in the standard bed rest group (mean [SD], 400.2 [50.8] minutes) than in the early ambulation group (mean [SD], 381.6 [54.7] minutes; t262 = 2.86; P = .005).

Conclusion

Reduced bed rest was safe, shortened stays, and improved efficiency by creating opportunity cost savings.
Electrified Drives for Automated Vehicles
Authors: Sturm Axel , Küçükay Ferit , Henze Roman
Published: October 2023

This paper deals with the relationship between powertrain design and the requirements resulting from connected and automated driving. The questions addressed are how much powertrain design will change in regard to automated and connected driving and which powertrain in an automated vehicle will prove to be the optimum solution. To this end, a concept study is being conducted for a D-segment vehicle and multiple powertrain topologies ranging from non-electrified, mild-hybrids to plug-in hybrids and battery electric vehicles. The development processes required to address this issue is presented accordingly, as well as the necessary methods for systemic drive optimization, taking into account all requirements of the vehicle, the drive system and the components and their interactions with each other. The requirements resulting from connected and automated driving as well as their influences on vehicle and drive concepts are elaborated. The work focuses on automated driving functions developed at the Institute of Automotive Engineering of the Technische Universität Braunschweig, primarily on a “highway pilot”. The hardware architecture required to implement the automated driving functions leads to an increase in vehicle mass as well as additional power requirements. Automated driving also leads to changes in driving profiles during operation. On the basis of measurement data from the "highway pilot", representative driving cycles in terms of customer and function operation are created and used for drive optimization. The drives optimized for a vehicle with highway pilot lead to a significant reduction in fuel and energy consumption in customer operation. Electric vehicles are showing the highest savings potential (11% to 14%) followed by plug-in hybrids (5% to 14%). The consumption reduction potential also shows a strong dependence on the powertrain design and the powertrain topology. The combustion engine has a relatively large range with very high efficiencies, which is why the operating point distribution change due to automated driving only slightly influences the efficiency of the ICE, 34% without automated driving to 35% with automated driving. The results of the drive optimization are discussed in detail in the paper and the implications for future drive development are highlighted.
Contribution of Remote Sensing to the Mapping of Lineaments and Ore-Mineral Occurrences in the Taghbalt Region, Moroccan Eastern Anti-Atlas
Authors: Sassioui Silmane , Lakhloufi Abdellah , Aarab Abdellatif , Zouggarh Asma , Hilali Mohamed , Courba Said , Benyas Kawtar , Laaziz Youness , Darbali Mourad , Larabi Abdelkader
Published: October 2023

The Taghbalet region is a part of the Paleozoic cover of the Moroccan Anti-Atlas, known by a rich mineral potential of vein type. This paper presents the results of a field investigation and processing of Landsat 8oli and Aster satellite images. The pre-processing allows for improving the image quality by applying a radiometric calibration, atmosphere correction and a pan-sharpening correction. Landsat-8 oli data is used to map structural lineaments including fracture and/or vein. C compositions ( RGB: 2, 5 and 7) and band ratios (5/7, 3/1, 4/3 and 5/7, 5/4, 3/1) were applied, both of which showed the lithological contrast between formations. Then directional filters (N-S, NE-SW, E-W and NW-SE) were applied on the spectral bands and principal component analysis to map the different lineaments. Validation and correction of lineaments obtained by automatic extraction are based on visual interpretation and field verification. The mining prospecting is performed using ASTER multispectral images. Therefore the results obtained show that we have two main directions; one E-W and the other NE-SW. The majority of these lineaments are concentrated in the south of the area. The results of mapping the hydrothermal alteration zones show us that these zones have a clear relationship with the fault.
NOVO MARCO REGULATÓRIO DA AQUICULTURA NO ESTADO DO PARÁ: ESCLARECIMENTOS NECESSÁRIOS
Authors: Brabo Marcos
Published: October 2023

The development of an economic activity inevitably involves a clear legislation with sustainable bases, aiming at the ability of commercial initiatives to be profitable and maintain a lasting harmonious relationship with ecosystems and local communities. The need to elucidate state legislation that has exactly the same guidelines as federal legislation in force for more than a decade and in consolidated regulatory frameworks for federal units that share the same biome and the same hydrographic regions lies mainly in the existence of interests hidden individuals, who seek to confuse society and even distort the truth regarding the new regulations. This article represents an initiative to combat misinformation, as well as an encouragement to State of Pará aquaculturists who have demanded so much legal certainty to regularize their initiatives.
Kalimat Berdiatesis Aktif - Pasif Pada Kumpulan Cerpen Dilarang Menyanyi di Kamar Mandi Karya Seno Gumira Ajidarma
Authors: Nur Suryanah  , Masta Hutajulu
Published: October 2023

This study discusses the use of active and passive diathesis sentences contained in the short story. This study aims to provide an overview of the use of active-passive diathesis sentences in the short story text. The method used in this study is a qualitative descriptive method with content analysis techniques of sentence variations. The object of this research uses the sentences contained in the book collection of short stories "Don't Sing in the Bathroom" by Seno Gumira Ajidarma. Based on the results of the study, it can be concluded that the use of sentences with active diathesis is more often used, namely 76.4% compared to sentences with passive diathesis, which is 23.6%
Diversity, Evenness, and Abundance of Epiphytic Ferns in The Area Around Villa Silma, Cilember Sub-District, Bogor Regency
Authors: Siska Aprilia Kaulika  , Nurza Imam Safir Alwan
Published: October 2023

This research aimed to find out the diversity, evenness, and distribution abundance of epiphytic ferns scattered in the area around Villa Silma, Cilember District, Bogor Regency. This research used a purposive sampling method by taking samples as the data determined by determining the characteristics of the epiphytic ferns found. Collecting data in this research exploratively by exploring all epiphytic ferns found in the area and observations on the morphology of epiphytic ferns. Data were analyzed through the diversity index using the Shannon-Wiener index, distribution of abundance using the Margalef index, and evenness index using based on the value of the Shannon-Wiener species diversity index. The research results obtained that three species of epiphytic ferns were found in the area around Villa Silma, namely Asplenium nidus L., Asplenium adiantum-nigrum L., and Pyrrosia piloselloides (L.) M.G. Price with different numbers of individuals. The diversity index of epiphytic fern is 0.7 which indicates the level of diversity in the area is low. Then, The distribution of abundance and evenness epiphytic ferns is 0.6 which indicates that there are epiphytic ferns dominant in the area and the number of individuals in each species is unevenly distributed. The most abundant fern epiphytic was found is Asplenium nidus L. with 84 individuals. This because the environment allows it to spread and grow the spores of this epiphytic fern plant properly.
Penerapan Metode Certainty Factor Dalam Diagnosis Gangguan Depresi
Authors: Hernawan Septian Rico , Nugroho Hanung Adi , Hidayah Indriana
Published: October 2023

Globalization can cause several problems and pressures of mind for both individuals and groups. Various kinds of problems can certainly lead to psychological disorders, one of which is depression. Indonesia itself is one of the countries with a high number of people with depressive disorders. Depressive disorder itself can have many consequences ranging from lack of enthusiasm to even death. Facing these serious problems, the government should be able to address the mental disorder that is currently happening. However, the reality is still far from this. Inadequate infrastructure, equality problems for each region, and shortages of experts are the main problems at this time. The expert system is considered to be a solution in solving these problems. Web-based expert systems can replace the role of experts in the process of initial diagnosis of depressive disorders, patients can also access them easily. The calculation method implemented is the Certainty Factor method. This method is considered suitable in the diagnosis of depression. The implementation of the CF method in the diagnosis of depression can provide a confidence level of up to 94.9%. The expert system is expected to be able to eliminate human errors, speed up the diagnostic process, make it easier for health workers, and provide standards for related parties in handling mental disorders
Penerapan Metode ROC Dan Metode WASPAS Untuk Menentukan Penerima Beasiswa KIP Kuliah
Authors: Syahrizal Muhammad , Aripin Soeb
Published: October 2023

KIP lectures are lecture education assistance which aims to free registration for college entrance selection and tuition or education fees. One of the tertiary institutions that has the opportunity to get KIP Lectures is Budi Darma University. Based on the results of observations and interviews with the assistant head of student affairs at Budi Darma University to determine the feasibility of the Indonesia Smart Card (KIP) College scholarship currently still using the conventional election system, by means of students submitting files to the selection team for the Indonesia Smart Card (KIP) College scholarship then taking part in tests and interviews To overcome the problems experienced by the selection team, a system is needed to help the selection team. One of them is using the Decision Making System (SPK). Where to do a combination of the Decision Support System method with the ROC method used for weighting and the WASPAS method used for alternative rankings. With the aim of providing recommendations for students who get KIP college scholarships. From the results of the calculation of the values ​​above, it can be determined who will receive the KIP College scholarship based on recommendations from the decision support system by applying the ROC method which is used as weighting and the WASPAS method which is used as a ranking determination to get the best ranking results on behalf of Iramaya Tampubolon with a Qi value of 0. 991921266, it can be concluded that if KIP quotas study at Budi Darma University 10, the ranking taken is according to the number of cities received.
Penerapan Algoritma K-Means Pada Pemetaan Kemampuan Penggunaan Teknologi Informasi Remaja dan Dewasa di Indonesia
Authors: Watrianthos Ronal , Handayani Reti , Akhir Ade Fitrah Putra , Ambiyar Ambiyar , Verawardina Unung
Published: October 2023

In modern-day Indonesia, having access to various forms of technology is regarded as crucial. This is because the IT skills gap will only grow worse if the government does not act swiftly to make technology more accessible to the general public. PISA suggests that schools may gain much more from incorporating IT into their curriculum if they did so. The goal of this research is to establish whether or not there are notable variations in the level of knowledge in information technology across the different provinces in Indonesia. Official data from the Central Statistics Agency for 2019-2021, including information on the number of adolescents and adults aged 15-59 with abilities in the field of ICT at the provincial level, is used in the clustering calculation. The K-means algorithm is one unsupervised learning technique for clustering data into collections with other instances that share similar properties. The results showed that the seventh cluster had the lowest DBI value of the three examined, coming in at -0.357. Cluster 0 has the lowest average percentage of the population with IT skills, at 29.32%. Only in Papua Province will you find this particular zero cluster.
Implementasi Algoritma K-Nearest Neighbor Dalam Mendiagnosis Kurap Pada Kucing
Authors: Marsono Marsono , Nasyuha Asyahri Hadi , Arif Saiful Nur , Zunaidi Muhammad , Gaol Nur Yanti Lumban
Published: October 2023

Ringworm is an infectious disease caused by keratinophilic fungi on the surface of the skin or other parts of tissues that contain keratin (fur, nails, hair, and horns) in animals and humans. Some fungal species are zoonotic because infected animals can be a source of transmission to humans and vice versa. This disease is often found in domesticated animals and is the oldest mycotic disease in the world. This skin disease is called ringworm because it is thought to be caused by worms and because the symptoms begin with inflammation of the skin's surface which if left unchecked will enlarge to form a ring like circle. The K-Nearest Neighbor (KNN) algorithm is a method for classifying new objects. KNN is a supervised learning algorithm, where the results of new query instances are classified according to the majority of categories in KKN. The class that appears the most is the class resulting from the classification. Nearest Neighbor is an approach to calculate the proximity between the new case and the old case, which is based on matching the weights of a number of existing features. This study aims to make it easier for patients to know the health condition of their pet cat.
Penerapan Data Mining Dalam Penentuan Proritas Pemesanan Produk Berdasarkan dengan Data Penjualan Barang Menggunakan Algoritma Apriori
Authors: Triayudi Agung , Iskandar Agus
Published: October 2023

Products cannot be separated from the buying and selling process carried out by customers and sellers. Products that are a priority are, of course, products that are favored by consumers or customers. However, companies often make mistakes in the process of determining which products to order for sale. Errors in the process of determining product orders can result in losses for the company. Therefore, it is necessary to handle this problem properly and appropriately. Therefore, the settlement that should be done should be done by processing the data on the sale of these goods. Data mining is a method that can be used for data processing. But the data processing process carried out in data mining is not done independently. The a priori algorithm is one of the algorithms found in the data mining association technique. The a priori algorithm is widely used to carry out the analysis process on sales data to find sales patterns in the company. The results of the study were 3 items that became the priority of ordering, namely ordinary pants, shorts and t-shirts. With a combination of item sets, if you buy ordinary pants, you also buy shorts with a support value of 10% and a confidence value of 20%. Other item combinations that you get: If you buy regular pants, you also buy T-shirts with a support value of 30% and a confidence value of 60% and the last combination of set items. If you buy shorts, you also buy T-shirts with a support value of 30% and a confidence value of 60%.
Implementasi Metode Composite Performance Index (CPI) Pada Sistem Pendukung Keputusan Pemilihan SSD Eksternal
Authors: Nugroho Nurhasan
Published: October 2023

The need for data storage is currently increasing, so external or portable data storage is developing. Likewise for SSDs, currently the External SSD market has been circulating which offers practicality, speed and large capacity. However, problems arise in selecting an External SSD, it will take time and effort to find information about product specifications and match the wishes and needs of the buyer. The purpose of this study is to implement the Composite Performance Index (CPI) method in a decision support system for choosing an External SSD, so that it can make it easier for users to determine alternatives quickly and precisely. The CPI method is used to solve decision problems with a number of alternatives through a combined index to rank alternatives from several criteria. The results of the calculations in the case study produced the highest score obtained by the alternative Kingston XS2000 SSD (A3) with a value of 130,001, followed by Lacie Rugged SSD Pro (A1) with a value of 108,334, Samsung SSD T7 Touch (A4) with a value of 100 and Seagate SSD Portable (A2) with a score of 93,335. The calculation of the CPI method obtained from the system obtains the same calculation results as the manual results. Based on testing with the black-box testing technique, all test cases are declared valid, this means that the system can work properly.
Penerapan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Program Studi
Authors: Saputro Joko , Asruddin Asruddin , Bani Alexius Ulan , Mesran Mesran
Published: October 2023

In an effort to improve the quality of one's work, an assessment can be carried out. Because with the assessment, an evaluation of the level of quality of a person's work can be carried out. At a university there are many study programs. Where one of the study programs at the university is the informatics engineering study program. In carrying out their duties and responsibilities, the campus makes efforts to improve the quality of work, the leadership evaluates by evaluating the quality of work of the staff at the university. In measuring the quality of work of the staff working in the Study Program, the leadership conducts an assessment of the study program. In conducting the assessment by measuring the level of student satisfaction with the Study Program. Based on this study, it was concluded that PUAS students towards the services of the Study Program.
Penggunaan Metode AHP dalam pemilihan Jenis Promosi Kampus Berdasarkan Lokasi Sekolah
Authors: Indriaturrahmi Indriaturrahmi , Faesal Andris , Febriana Angan , Satria M. Citra
Published: October 2023

Basically promotion is carried out to introduce goods or services to the consumer community so that they feel interested and interested in buying or using the products and services offered. As for the campus, promotion is carried out not only to introduce the campus environment, but also to maintain its existence in society. The problems encountered related to campus promotion include determining the type of campus promotion based on the area or school location which is still carried out randomly, so it is difficult to determine the right type of promotion based on the location of the promotion objective. The purpose of this research is to determine what type of campus promotion is best in each region based on the location of the school using the Analytical Hierarchy Process (AHP) calculation method. The results of this study indicate that the selection of criteria consists of two types, namely the criteria for school location and type of promotion and based on the results of campus management decisions and student historical data. The calculation results show that the average results for each area of ​​social media and partnership presentations are the highest with a value of 60%, and for visits to schools by 20%, and for the use of billboards by 20%.
Prediksi Penyebaran Virus COVID-19 Dari Hasil PCR Menggunakan Metode Naïve Bayes
Authors: Rohayani Hetty , Alam Sitti Nur , Fauzi Muhammad , Rico Rico
Published: October 2023

The Covid-19 pandemic in 2020 that occurred in Indonesia is a complex health problem and requires fast handling and collaborative solutions from various disciplines. Covid-19 patients who receive treatment in hospitals have different conditions and severity. This affects the treatment actions that will be carried out by medical officers. The large number of patients and the lack of medical personnel have resulted in the need for technological support to help classify patient status based on their condition so that treatment is concentrated on patients who are very critical and require rapid treatment. The number of employees at the Jambi District Attorney's Office were exposed to the Covid-19 virus in particular, and it is necessary to predict PCR results. This study applies a prediction technique from the data mining discipline section to classify the status of employees at the Jambi District Attorney's Office who are confirmed to be Covid-19. Classifiers using the Naive Bayes method were applied to build a model based on a dataset of patients infected with Covid-19. The Covid-19 PCR result dataset was obtained from the Jambi District Attorney and was applied using RapidMiner. The model built can predict the confirmed status of Covid-19 based on age, gender, health condition, and vaccinations. The results of this study indicate that the classification of the Naive Bayes method has a high level of accuracy in classifying the confirmed status of Covid-19, namely 97%.
Protoype Sistem Penyiram Lahan Perkebunan Kangkung Otomatis Berbasis Internet of Things dengan Logika Fuzzy Sugeno
Authors: Mahfuddin Ismail , R Rakmat Kurniawan , Lubis Aidil Halim
Published: October 2023

Watering is one of the jobs that are routinely carried out in plant maintenance which usually causes various problems. One of them is the absence of the same measure of water quantity when watering will result in the plants being treated can experience excess or lack of water, causing the plants to dry out or rot and die. So we need a tool that can help in terms of watering plants. The internet of things-based automatic watering machine for water spinach plantations is expected to be a system to assist farmers in watering especially kale that can detect moisture in the soil and temperature around the land and has scheduling options, automatic fuzzy and manual that can be controlled via the android application. which has been designed and can work based on the selected option. This tool is made using the Sugeno fuzzy logic method because this method is suitable for use in making decisions to find the values ​​of humidity and temperature that fluctuate and are less certain. Based on the results of the study, the average percentage difference in the humidity sensor is 0.016 % and the accuracy (accuracy) on the humidity sensor circuit is 99.98%, while the percentage difference in the temperature sensor is 0.02% and the accuracy (accuracy) on the LM35 temperature sensor circuit is 99.99%.
Kombinasi Metode Certainty Factor dan Fuzzy Tsukamoto dalam Pradiagnosa Penyakit Gagal Ginjal Kronis
Authors: Adityawan Rudi , Triayudi Agung , Handayani Endah Tri Esti
Published: October 2023

Expert systems aim to combine human knowledge with systems, that is, so that computers can solve problems in the same way that experts usually do. Expert systems can also be used in diagnosing disease to determine the type of disease suffered as an initial diagnosis based on the symptoms to be followed up. In this study, the method used to develop an expert system for chronic kidney failure was using the Fuzzy Tsukamoto and Certainty Factor methods. The data search process starts from the symptoms experienced by the user and lab results of anemia, creatinine and eGFR then the final results obtained from this study are an Expert System Application for pre-diagnosing Kidney Disease with the Tsukamoto Method and Certainty Factor. The results obtained from this study, namely the certainty factor method obtained a patient's disease confidence level of 99.48% where according to these results according to experts and with the Fuzzy Tsukamoto method the results obtained for the stage of chronic kidney failure were 73.9 where these results were included in the VV High Risk category.
Diagnosa Gejala Kecanduan Bermain Game Online dengan Metode Fuzzy Tsukamoto dan Fuzzy Sugeno
Authors: Pratama Rivaldi Okta , Triayudi Agung , Gunawan Arie
Published: October 2023

In this increasingly developing era, online games are a type of game that can provide its own pleasure for its users. Because of that, many people play online games continuously until they forget the time, it can even become addictive. Not many people have the opportunity and willingness to consult an expert to overcome their addiction. Therefore, an expert system is needed to diagnose online game addiction symptoms. With this research, an expert system was produced to diagnose symptoms of addiction to playing online games, which makes it easy to use. This expert system produces output in the form of a diagnosis whether a person is addicted to playing online games or not. Tsukamoto's fuzzy logic method is one method for a good problem solving control system to implement. The Sugeno fuzzy logic used in the expert system in this study functions to seek and find solutions to symptoms of addiction to playing online games. The results of this study can compare the Sugeno fuzzy with the Tsukamoto fuzzy to find the intended value or success by comparing the two fuzzy to find the highest value in this study. The results of this study obtained an accuracy value of 100% from 100 sample data.
Sistem Pendukung Keputusan Seleksi Pendidikan dan Pengembangan Pegawai Negeri dengan Metode AHP dan SAW
Authors: Supriyanto Fadhil Muhammad , Triayudi Agung , Sholihati Ira Diana
Published: October 2023

Education in Staff Operation of Indonesian National Police is an important element that aims to improve the quality of personnel. Staff Operation of Indonesian National Police (Sops Polri) is an unit in the National Police of Indonesian Headquarters. Education and development is carried out by the Staff Human Resources of Indonesian National Police (SSDM Polri) by gathering personnel data from various units. At first Sops Polri has to select its personnel so that the selected personnel is the best. But the process of selection in Sops Polri still done manually and the chances of errors are very large. So the development of decision support system using AHP and SAW methods can help the process of selection in Sops Polri. After decision support system was developed then it was tested by using the System Usability Scale (SUS) method with a result of 80.25 which can be interpreted as acceptable.
Perbandingan Metode Fuzzy Tsukamoto dengan Fuzzy Mamdani Untuk Mendeteksi Tingkat Kecanduan Media Sosial Pada Remaja
Authors: Cahyono Ariel , Triayudi Agung , Aldisa Rima Tamara
Published: October 2023

The level of social media use in Indonesia has increased every year. This is caused by several factors, one of which is the tendency to play social media so that you forget the time to do other activities such as studying. A system is needed that is able to detect whether someone is addicted to social media or not. The Tsukamoto fuzzy method is a method that can solve a problem by using a system on a computer in search of a truth and usually requires some expertise. While the fuzzy mamdani method has a function in finding a solution in solving the problem of social media addiction in today's youth. This comparison is done by the author to find the best answer from one of the methods used. This research was created in order to be able to detect the level of social media addiction in adolescents in the form of a web to inform adolescents to avoid the negative symptoms of social media addiction such as timelessness, lazy learning and being unable to stop oneself from controlling social media use. Then after testing with 25 adolescent data, the results obtained were 10 adolescents experiencing social media addiction problems and 15 adolescents not. It can be seen that the Tsukamoto method has a very addictive score of 0 to 20 for 10 teenagers and 15 teenagers with a non-addiction score of 80 to 100. Meanwhile, it is known that the Mamdani method has a very addictive score of 0 to 10 for 10 teenagers and 15 teenagers with a non-addicted score of 40 to 50.
Analisis Sentimen Wisatawan terhadap Taman Nasional Bunaken dan Top 10 Hotel Rekomendasi Tripadvisor Menggunakan Algoritma SVM dan DT berbasis CRISP-DM
Authors: Singgalen Yerik Afrianto
Published: October 2023

It is necessary to analyze traveler sentiment towards Bunaken National Park and Tripadvisor's Top 10 Recommended Hotels to identify traveler satisfaction with the attractions, accommodation services, and transportation used. Considering this, this study uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework by testing the performance of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM).  CRISP-DM has six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.  Based on the processing of 398 Bunaken National Park destination data and 1793 review data on the top 10 hotels recommended by Tripadvisor, the SVM algorithm performed better. In the context of Bunaken National Park destination data, the performance of the SVM algorithm using the SMOTE operator can produce 100% accuracy, precision, recall, f-measure, AUC, and t-Test values.  In addition, in processing the top 10 hotel datasets recommended by Tripadvisor, the SVM algorithm using the SMOTE operator provides an accuracy value of 96.42%, a precision value of 100%, a recall value of 92.83%, an f-measure value of 96.27%, an AUC value of 100%, and a t-Test value of 96.4%. The results of identifying the five words that most often appear in tourist reviews for Bunaken Marine Park tourist destinations are 164 words fish, 165 words island, 193-word dive, 230 diving, and 280 words Bunaken. This indicates the driving factor for tourist visits to Bunaken Marine Park is the beauty of underwater nature, including the diversity of marine animal species, the natural beauty of the archipelago, and diving activities.  In addition, the results of identifying the five words that most often appear in traveler reviews for Tripadvisor's top 10 recommended hotels are 1170 great words, 1222 bunaken words, 1550 resort words, 1613 diving words, and 1711 dive words. This indicates that the characteristics of tourists who have the motive of traveling to Bunaken National Tourism Park have the intention to use resort accommodations around Bunaken and have mobility and facilities to support diving activities. Thus, the output of this study can be used as a recommendation for accommodation service managers to prepare supporting facilities for tourists who want to visit Bunaken National Park.
Pemilihan Penilaian Karyawan Menggunakan Metode Hybrid ROC-MOORA
Authors: Alam Sitti Nur , Fauzi Fauzi , Santoso Firman , Saludin Saludin , Meta Monanda Rio
Published: October 2023

Apprentices are employees who work within the context of a real learning process in the workplace to hone skills and self-quality in achieving maturity in learning science in the world of education, apprentices are also commonly referred to as temporary employees who have a short period of time permitting work in a company , it is not uncommon for a company to appoint an apprentice immediately to become a permanent worker because it is considered capable of minimizing the time in the process of selecting new employees needed to fill employee positions required by a company, several companies also collaborate a lot with a university to accept participants educate them to be able to work in the company they want. In determining an apprentice to become a permanent employee of the company, of course, careful assessment and consideration is needed as is done in other employee selection processes, to eliminate subjective and unfair selection and to improve the quality of the company's assessment of target apprentices who will be appointed as permanent employees. need to build a decision-making system. This is widely applied by other leading companies. In this research, the application of a decision support system was carried out in determining the apprentice's assessment to be selected as a permanent employee of a company using the combination method by applying the weight of the data assessment using the ROC method and the MOORA method ranking method, the results obtained were 0.365 the highest point from the acquisition of the value obtained out of 10 apprentices, the highest score is data recommended by the system as interns who have the best potential to become permanent employees of the company.