bluuebunny/crossref_metadata_2025 huggingface dataset:
The Space of Research Topics in Economics: Scientific Position-Takings and Individual Positions in Swiss Economic Science
Authors: Rossier Thierry , Benz Pierre , Grau Larsen Anton , Kropp Kristoffer
Published: October 2023

Within the Social Studies of Economics, research has been dominated by case-oriented approaches. In this article, we propose and demonstrate the value of adding a quantitative, field-theoretical approach. Specifically, we outline a perspective for studying economics as a social field, focusing on the homology between research topics and the resources and characteristics of researchers. We specifically attend to the Swiss case, entailing integration of this highly internationalised discipline within national elite networks. Our study draws on a combination of two data sources: the Swiss National Science Foundation (SNSF), which provides abstracts of all projects funded since 2008, and the Swiss Elite Database, which contains extensive prosopographical data on all tenured economics professors employed at Swiss universities. In the first analytical part of the study, we construct the space of research topics based on 637 abstracts using Latent Dirichlet Allocation, a topic modelling technique. We identify a set of recurring topics, using multiple correspondence analysis to project these topics into a geometric space, thereby identifying three main dimensions structuring the space of the topics: (1) financial markets versus labour and behaviour economics, (2) macroeconomics versus microeconomics and (3) public economics versus labour economics. In the second part of the study, we map the most frequently used terms in relation to the profiles of the 647 applicants (including 156 economics professors). Our findings reveal a homology existing between the space of topics and the space of individual positions. Unlike microeconomics topics, macroeconomics topics are linked to scientific and academic prestige. Other individual properties and resources, such as those related to public expertise, corporate networks or gender are linked, respectively, to the study of state and public concerns and market surveillance, corporate governance, and gendered inequalities in the workplace. This article provides an original quantitative and computational approach that opens up new and promising research avenues for expanding the Social Studies of Economics and the history of economic thought.
Mündigkeit in der Politischen Bildung
Authors: Müller Stefan , Scaramuzza Elia
Published: October 2023

Mündigkeit kann nicht verordnet werden. Das scheint eine Herausforderung für Bildung zu sein, ist aber genau die Stärke und das Versprechen von Mündigkeit. Eine reflexive politische Bildung, die sich an Mündigkeit orientiert, kann dieses Versprechen aufnehmen und im besten Falle einlösen. Wie das (nicht) funktionieren kann, erörtern Stefan Müller und Elia Scaramuzza auf anschauliche Weise im vorliegenden Gespräch. Mit Blick auf den Beutelsbacher Konsens, auf die Fragen von Autonomie, Normativität und Dialektik diskutieren sie die Möglichkeiten von Mündigkeit durch Bildung und entwickeln zentrale Merkmale einer reflexiven politischen Bildung.
Vom Generalrichter im „Dritten Reich“ zum Ersten Beigeordneten in Glashütten/Ts.
Authors: Hafeneger Benno
Published: October 2023

Dr. jur. Manfred Roeder war "Generalrichter" in der Militärjustiz des NS-Regimes und ein überzeugter Nationalsozialist. Vor allem seine Anklagen und die Todesurteile gegen Mitglieder der sogenannten "Roten Kapelle" zeigen, wie kalt und brutal er gegen den Widerstand vorgegangen ist. Er bleibt bis weit in die 1950er Jahre in die rechtsextreme Szene eingebunden und propagiert das Weiterleben der "Roten Kapelle" als kommunistische Spionageorganisation in der Bundesrepublik. Mit seinem Umzug von Neetze/bei Lüneburg nach Glashütten/Ts. im Jahr 1963 wird er in der Kommunalpolitik aktiv. Er wird zunächst 2. Beigeordneter, dann von 1968 – 1971 1. Beigeordneter und damit Stellvertreter des Bürgermeisters.
Synthesis, spectroscopic, and quantum-chemical analysis of mononuclear Ru(II)-naphthylhydrazine complex
Authors:   University of Belgrade, Faculty of Physical Chemistry, Belgrade, Serbia, Kosanović Marta , Eichhorn Thomas ,   University of Applied Sciences Merseburg, Department of Engineering and Natural Sciences, Germany, Milenković Dejan ,   University of Kragujevac, Institute for Information Technologies, Serbia, Kaluđerović Goran ,   University of Applied Sciences Merseburg, Department of Engineering and Natural Sciences, Germany, Dimitrić Marković Jasmina ,   University of Belgrade, Faculty of Physical Chemistry, Belgrade, Serbia, Dimić Dušan ,   University of Belgrade, Faculty of Physical Chemistry, Belgrade, Serbia
Published: October 2023

Ruthenium(II) complexes have become increasingly recognized and utilized as potent anticancer agents in recent years. These compounds possess unique capabilities in targeting cancer cells and interfering with vital cellular processes, offering new hope in the relentless battle against cancer. This research study focuses on the characterization of a newly synthesized Ru(II)-naphthylhydrazine complex by IR and NMR spectroscopies. NMR spectral data have revealed the presence of different chemical environments within 1 based on the chemical shifts observed in the 1H and 13C NMR spectra. The infrared spectra were recorded in the region ranging from 400 cm-1 to 4000 cm-1 , capturing a comprehensive range of vibrational modes of the studied compound with the main chemical groups outlined. The quantum-chemical optimization of 1 at B3LYP/6-31+G(d,p)(H,C,N,Cl)/LanL2DZ(Ru) level of theory allowed the prediction of structural parameters and analysis of intramolecular interactions governing stability through Natural Bond Orbital approach. The future biological investigation of this compound is advised.
DNA/BSA interaction of platinum(II) complexes with phenothiazine and N-methylphenothiazine
Authors:   University of Kragujevac, Faculty of Science, Department of Chemistry, Serbia, Andrejević Tina P. , Ašanin Darko P. ,   University of Kragujevac, Institute for Information Technologies, Serbia, Pantović Bojana V. ,   University of Kragujevac, Faculty of Science, Department of Chemistry, Serbia, Stevanović Nevena Lj. ,   University of Kragujevac, Faculty of Science, Department of Chemistry, Serbia, Marković Violeta R. ,   University of Kragujevac, Faculty of Science, Department of Chemistry, Serbia, Djuran Miloš I. ,   Serbian Academy of Sciences and Arts, Serbia, Glišić Biljana Đ. ,   University of Kragujevac, Faculty of Science, Department of Chemistry, Serbia
Published: October 2023

In the present study, the interactions of two platinum(II) complexes of the general formula cis-[PtCl2(L)(CH3CN)], L is phenothiazine (phtz, Pt1) and N-methylphenothiazine (N-Mephtz, Pt2) with calf thymus DNA (ct-DNA) and bovine serum albumin (BSA) were studied by fluorescence emission spectroscopy to check their binding affinity towards these biomolecules for possible insights into the mode of their biological activity. A remarkable decrease in BSA fluorescence intensity after the addition of the complexes Pt1 and Pt2 and high values of the binding constants are in accordance with their high affinity toward this protein. On the other hand, the low binding affinity of the studied platinum(II) complexes to ct-DNA-EthBr system (EthBr is ethidium bromide, a well-known DNA intercalator) was observed. This has indicated that proteins could be more favorable binding sites for these platinum(II) complexes in comparison to the nucleic acids. Interestingly, Pt1 complex has shown a higher binding affinity toward DNA than Pt2, while the latter complex is a more efficient BSA binder.
Substitution Influence Of Yellow Soybean Dregs Flour (Glycine Max L. Merril) On Sensory Quality Of Butter Cookies
Authors: Fadillah Ishmah , Fadiati Ari , Singamurni I Gusti Ayu Ngurah
Published: October 2023

Soybean dregs flour is used as a substitute ingredient in making butter cookies to optimize local food ingredients, mostly produced by the soymilk industry. This study aims to analyze the effect of soybean dreg flour substitution in manufacturing butter cookies on sensory quality. This research was conducted at the Processing Laboratory of the Culinary Education Study Program at Jakarta State University. The method used in this research is the experimental method. The research sample used was butter cookies substituted for soybean dregs flour 13%, 15% and 17%, then tested on five limited panellists who assessed colour, taste and texture. This study concludes that butter cookies are substituted for soybean dregs flour with a good sensory quality of 13% to be developed.
Persepsi Mahasiswa Tentang Pengelolaan Pembelajaran Mata Kuliah Program Studi (MKPS)
Authors: Nurina Ayuningtya  , Nidya Inten Daniswara  , Farrah Salsabila  , Maula Salamah Saepudin
Published: October 2023

This research aims to determine how students’ perceptions of learning management course study programs in the learning planning system, learning implementation system, and learning evaluation system in the 3-year diploma of cosmetology study program at Jakarta State University. This research uses the descriptive method in the form of a survey and uses frequency distribution data analysis techniques. The target of this research is 130 students of semester 112 and 113 cosmetology students who have taken the courses study program, which is: (1) hair coloring, (2) hairdo styling, (3) hair cutting, (4) hair care, hair pre-styling and hairstyling, (5) modern and modification hairstyling, (6) Indonesian traditional hairstyling and (7) advanced haircutting. The results showed that students' perceptions about the management of learning for study program subjects (MKPS) in the aspect of learning planning were categorized as very good, in the amount of 88%, students' perceptions about the implementation of learning by lecturers were categorized as very good, in the amount of 87% and students' perceptions about learning evaluation were categorized as very good, in the amount of 86%. The result is the overall learning management of study program courses (MKPS) is categorized as very good.
Topologi Redundansi Link Untuk Keamanan Serta Mitigasi Ketersediaan Jaringan Komputer Menggunakan Rapid Spanning Tree Protocol
Authors: Zaen Mohammad Taufan Asri , Tantoni Ahmad
Published: October 2023

The frequent occurrence of natural disasters requires telecommunications companies to require a backup internet backbone line if the telecommunications infrastructure is damaged/disconnected due to natural disasters. Reporting from inet.detik.com APJII revealed that the Jakarta-Singapore fiber optic network had broken, which had an impact on internet services in Indonesia. Fiber optic repair can take up to 2-3 weeks requiring network backup, the main solution for network backup with satellite, but problems will arise when configuration for satellite lines takes 1-2 days. Problems arise again when combined between fiber optic internet lines and satellite internet lines which cause the looping network to create network disturbances, to maintain interference, a spanning tree protocol method is needed to backup lines automatically and create link redundancy if one of the lines is problematic or disconnected. The purpose of this study is to design a link redundancy topology for security and mitigation of network availability using the rapid spanning tree protocol (RSTP) with router rb750gr3, switch rb260gs and switch dgs-108. In the RSTP network topology, it is designed with 3 redundant lines connected between the rb260gs switch and the dgs-108 switch, with an on-stick router rb750gr3 and is designed with 6 access mode vlan lines. In testing the inter-vlan network, RSTP terminates the redundancy link and then uses the ping command at the command prompt to determine how many minutes to backup the link. The NDLC method is used in determining how many seconds to backup this redundancy link using. The results of testing the link termination ether2-switch-mikrotik and ether1-switch-dlink using the "ping" command for 20 seconds in determining how many seconds to backup the link get the result that Request Time Out does not occur and the average time for each pc in determining the backup path for the pc-vlan20 22.9ms, pc-vlan30 35ms, pc-vlan70 23.5ms. The results of link termination testing ether3-switch-mikrotik and ether2-switch-dlink using the "ping" command for 20 seconds in determining how many seconds to backup the link get the result that there is no Request Time Out and the average time for each pc in determining the backup path for the pc-vlan20 23ms, pc-vlan30 24ms, pc-vlan70 43.7ms.
Klasifikasi Jenis Mangga Berdasarkan Tekstur Tulang Daun Menggunakan Metode Learning Vector Quantization (LVQ)
Authors: Ardhana Valian Yoga Pudya , Saputra Joni , Afriansyah M
Published: October 2023

Mango is a fruit plants that has the potential to be developed because it has a high level of genetic diversity. Mangoes vary in shape, size and color of the fruit, indicating a fairly wide genetic diversity. Of the many genetic diversity and types of society, there are still many who cannot distinguish them. This study builds an application to distinguish mango species based on the leaf bone structure where the feature extraction process uses the Learning Vector Quantization (LVQ) method. Then do the merging to produce a specific feature vector, then the classification calculation is carried out using the Euclidean Distance method to identify the type of mango fruit. The results of the study with the amount of training data as many as 6 images and testing data as much as 15 obtained system accuracy, with the calculation results, the remaining clusters are cluster 3 with a centroid value of R = 151.67 G = 145 and B = 153.33. From the test results with 2 scenarios, the mango golek type has low values, namely 50 and 60 because the mango golek type has less brightness than the other 2 types of mango.
Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Diabetes Melitus
Authors: Ismono Ahlan
Published: October 2023

Diabetes Mellitus is a disease that occurs in metabolism at a chronic level. Diabetes Mellitus has always been a frightening disease for the community, this is because diabetes mellitus is a disease that causes death with a fairly high risk of death. Early diagnosis of diabetes mellitus or the community to find out diabetes mellitus is very important. Early diagnosis that is carried out causes early problems, especially for the community. This is because to carry out an examination of diabetes mellitus, laboratory tests must be carried out in hospitals, carry out an overall body examination and the costs are quite high. In addition, there is also limited information by the public on the signs or symptoms that allow a person to be indicated for diabetes mellitus. Therefore, it is necessary to solve these problems to assist in the early diagnosis process by the community. An expert system is a system that is already part of computerization. Computerized expert systems can diagnose certain diseases based on the knowledge stored in the expert system. The certainty factor method is one method that can be used in the process of solving the expert system. The certain factor method can produce an accurate value based on the symptom weight value that has been selected by the patient. The results of the study found that the accuracy value obtained from the process of diagnosing diabetes mellitus was 94,78%.
Penerapan Multi-Objective Optimization by Ratio Analysis (MOORA) Dalam Penyeleksian Kelayakan Nasabah Penerima Kredit
Authors: Iskandar Agus
Published: October 2023

Rural Banks (BPR) play an important role in helping to solve financial problems for the community in providing credit, the bank must conduct careful research and calculations on customers. PT.BPR this bank has a difficult problem determining the amount of credit value desired by a customer. This is because assessing whether or not a customer is eligible to receive a credit score is not easy because it involves many factors that must be considered and analyzed properly. The Decision Support System is applied in this study as a system for selecting the eligibility of credit recipients. In determining the appropriate selection of credit recipients, they must meet criteria such as income, age, occupation, guarantee and number of dependents. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method which can generate preference values ​​from the first ranked alternative. So that the selection of the eligibility of credit recipients lies in alternative N3 on behalf of Nurhayati with a value of 0.22197.
Image Segmentation Using Haar Wavelet Transform and Artificial Network for Identification of Ant Nest Pattern
Authors: Nugraha Nur Budi
Published: October 2023

Ant nest is a powerful medicinal plant to treat various diseases such as heart disease, tumors, cancer, hemorrhoids, tuberculosis, rheumatism, ulcers and prostate disorders. The many benefits generated cause the ant nest to have a selling value in the community, so it is not uncommon to trigger ant nest forgery. This study aims to identify the image of an ant nest by testing the accuracy of the backpropagation network and haar wavelet. Before the identification process with the backpropagation method is carried out, first the process of taking the characteristics of the ant nest is carried out which will later be used as test data input in the identification process. The output of the network will be compared with the target to get the error output. Then these errors are propagated again to increase the network weight to minimize errors. This research resulted in an ant nest identification application. The backpropagation ANN architecture for the training data used is 0.95 momentum, 0.01 target error with MSE criteria, the maximum number of training iterations (epochs) is set at 5000, the learning rate is 0.1 and the number of hidden layers is 20 by using wavelet haar feature extraction level 3 and the backpropagation momentum method can be used. used to identify ant nest images with 100% accuracy.
Sistem Pendukung Keputusan Untuk Menentukan Duta Pelajar pada Sekolah Menengah Pertama Menerapkan Metode MOORA
Authors: Whendasmoro Raditya Galih , Sharyanto Sharyanto , Nugroho Fifto
Published: October 2023

Student ambassadors are students who are chosen as the right hand of the teachers to lead other students, where these student ambassadors must have advantages that are far from other students, where the selection is through a selection process. With this student ambassador, it is expected that the teacher's task is to direct and secure other students both in terms of order and obedience to school rules. The large number of participants made the committee feel overwhelmed in choosing the ambassadors. To get a solution to the problem of selecting the student ambassador, a decision system is needed that can help find a solution to the selection of student ambassadors. Decision Support System (DSS) is a stage in finding a solution to a problem where the process is carried out using a solution according to how the computer works. DSS can work optimally if using the method. In this study, the authors chose the Multi-Objective Optimization Method on The Basic of Ratio Analysis (MOORA) which is a method that can be used in the completion and completion process of the DSS. This method has a working procedure that uses mathematical calculations. The results of this study obtained that the best Student Ambassador was alternative A5 on behalf of Ucok with a value of 0.4054 as the first rank.
Penerapan Algoritma K-Means Pada Penyebaran Covid-19 Di Provinsi Jambi
Authors: Pahlevi Reza , Prayogi Muhammad Wahyu , Rasywir Errissya , Pratama Yovi
Published: October 2023

The purpose of this study using the K-Means Cluster method is to determine the level of distribution of Covid-19 cases in the high, medium, and low categories in each region in Jambi Province. There are several aspects that can be measured such as population, population density, positive cases infected with Covid-19, recovered patients, and patients who died. The data collection method used is the documentation method in the form of secondary data obtained from the Jambi Provincial Government website. The data used were positive, recovered, and died and were analyzed using the WEKA application. From the results of research with the K-Means method using 3 clusters. Cluster 0 is a cluster with a high level of distribution category, which is in the city of Jambi. Cluster 1 is a cluster with a medium level distribution category consisting of Batanghari, Merangin, Muaro Jambi, Tanjab Timur. Cluster 2 is a cluster with a low-level distribution category consisting of Bungo, Kerinci, Sarolangun, Sungai Penuh, Tanjab Barat, Tebo.
Analisis Perilaku Wisatawan Berdasarkan Data Ulasan di Website Tripadvisor Menggunakan CRISP-DM: Wisata Minat Khusus Pendakian Gunung Rinjani dan Gunung Bromo
Authors: Singgalen Yerik Afrianto
Published: October 2023

Traveller behavior needs to be comprehensively identified and analyzed to determine changes in tourism preference in Indonesia.  One relevant approach to identifying traveler behavior is sentiment analysis through review data on the Tripadvisor website by text mining approach. This study aims to recommend a sentiment analysis model that is useful for managers of particular interest climbing tourist destinations on Mount Rinjani and Mount Bromo based on the type of visit alone (solo), with couples (couple), with friends, and with family (family). The research method used is Cross Industry Standard Process for Data Mining (CRISP-DM), with an algorithm adapted to managing tourist destinations for Mount Rinjani and Mount Bromo, namely attractions, roads and modes of transportation (accessibility), and accommodation. To overcome the problem of data balance in datasets, the calculation process of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM) is connected to the Synthetic Minority Over-sampling Technique (SMOTE) operator in the Rapidminer application. The results of this study showed that the SVM algorithm showed better performance with an accuracy value of 97.67%, precision of 100%, recall of 95.34, and f-measure of 97.61% in the classification of 1075 text data of Mount Bromo and 326 review data of Mount Rinjani. In addition, in the context of Mount Rinjani, the top five words that often appear in tourist review data on Mount Rinjani are as follows: summit (272), Rinjani (259), trek (201), hike (170), mountain (159). On the other hand, the top five words that often appear in tourist review data on Mount Bromo are as follows: Bromo (1864), sunrise (1124), view (854), crater (758), and mount (577). Thus, it can be seen that tourists with the type of visit alone (solo), with couples (couple), with friends (friends), and with family (family) have a preference for the types of attractions in the form of summits, craters, natural beauty of mountains, hiking trails, types of transportation modes as well as supporting accommodation that needs to be prepared to keep the sustainability of tourism.
Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit PES
Authors: Aldisa Rima Tamara
Published: October 2023

Plague is the oldest plague known to mankind and will continue to plague the world. Black Death is an infectious disease caused by the bite of Yersinia pestis, which breeds on rats. Human-to-human transmission occurs through droplets containing bubonic plague. Expert systems are a branch of artificial intelligence and a branch of knowledge that emerged with the development of computer science today. In this study, the expert system was implemented as a system for information or output to pursue certainty in diagnosing the type of bubonic plague felt by the patient based on the symptoms felt by the patient. Its use on the user's system must be combined with methods so that it runs correctly and optimally. In this study, the authors used the certainty factor (CF) method. CF is the internalization of uncertainty in professional thinking proposed by Shortliffe and Buchanan in 1975. Based on the results of the computational process using the CF method, information is generated that the patient suffers from multiple symptoms of bubonic plague, and the patient is diagnosed with pneumonic plague (P3) with an expression confidence level of 0.993 or 9.93%.
Penerapan Metode Fuzzy Tsukamoto Dalam Memprediksi Permintaan Barang
Authors: Melina Dwi , Diana Diana
Published: October 2023

Azthana Digital Media is a digital agency that works with a number of Indonesian vendors, including Pempek Mola, Pempek Kalani, and Eightsy Bag. Azthana oversees distribution and maintains warehousing for all three brands simultaneously. However, due to fluctuations in product demand, there are sometimes gaps in the supply of goods across all brands. So we need a method that can be implemented in inventory management and product development in the future. Forecasting strategies are useful tools for maintaining and expanding stock levels. In this study, researchers used the Fuzzy Tsukamoto technique built into a web-based inventory system to estimate consumer demand. Sales data, product purchases and goods production data are the three main inputs used to formulate demand forecasts. The results of this study can be concluded that the inventory system created can help the related team to find out the exact amount of stock available and to implement the Tsukamoto fuzzy calculations in predicting the demand for goods in the system that is running well as evidenced by the results of manual calculations and the system if the demand value is input equal to 355 with four fuzzy rules that are set together to produce a production value of requests for goods that must be ordered to suppliers of 522 packs.
Analisa Sentimen Informasi Hoaks Pasca Pandemi Covid-19 dengan Text Mining
Authors: Purnajaya Akhmad Rezki , Pernando Yonky
Published: October 2023

In this era of globalization, the delivery of information can be conveyed by any information media, this can also cause the spread of hoax information. This is very detrimental for recipients of information, especially information that is very important to receive and information related to the Covid or Corona virus that has hit the world and Indonesia. Based on data from the Gugus Tugas Percepatan Penanganan Covid-19, in the post-pandemic era 227 hoax information were still found that were identified. Therefore, in this study the authors conducted hoax information research, especially regarding the Covid-19 virus in the post-pandemic era by using the Text Mining method to find out information patterns that often appear in the post-Covid-19 pandemic. This paper will also show some results regarding the association of several words with the main word in hoax information in the post-Covid-19 pandemic era in the form of Term of Frequency, Word Cloud, Fruchterman Reingold Layout, and Circle Layout. The results of this study indicate that in the post-Covid-19 pandemic era, hoax information is frequently associated with ‘vaccines’ and ‘covid’, with 113 and 111 occurrences respectively. This is due to public skepticism regarding the safety and effectiveness of the Covid-19 vaccine, leading to the dissemination of hoaxes aimed at discouraging vaccination. Other commonly mentioned words in post-pandemic hoax information include ‘omicron’, ‘vaccinated’, ‘variant’, ‘pfizer’, ‘mRNA’, ‘virus’, and ‘vaccination’, albeit with lower frequencies
Penerapan Algoritma Naïve Bayes Classifier Dalam Klasifikasi Status Gizi Balita dengan Pengujian K-Fold Cross Validation
Authors: Nurainun Nurainun , Haerani Elin , Syafria Fadhilah , Oktavia Lola
Published: October 2023

Nutritional status is a condition related to nutrition that can be measured and is the result of a balance between nutritional needs in the body and nutritional intake from food. In Indonesia, there are still many nutritional problems such as malnutrition and other nutritional problems. This research will use the Naïve Bayes Classifier algorithm with K-Fold Cross Validation testing. The data used is data on the nutritional status of toddlers in August 2022 at the Rambah Samo I Health Center. Attributes in this study include Gender, Birth Weight, Birth Height, Age at Measurement, Weight, Height, ZS BB/U, BB/U, ZS TB/U, and TB/U. Determination of the nutritional status of toddlers in this study was based on the BB/TB index which consisted of 6 classes, namely severely wasted, wasted, normal, possible risk of overweight, overweight, and obese. From the research conducted, it was found that the Naïve Bayes Classifier algorithm with K-Fold Cross Validation can correctly classify the nutritional status of toddlers. From data processing using 10-Fold Cross Validation on the Naïve Bayes Classifier algorithm, it is known that the highest accuracy value is 82.94% in the 5th iteration, while the lowest accuracy value is 65.88% in 6th iteration. With an average overall accuracy value of 75.47%. Meanwhile, the average precision value obtained is 81.36% and the average recall value is 75.47%.
Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penerimaan Siswa Baru
Authors: Setiani Yeni , Sanwani Sanwani , Aini Nurul , Dewi Lidya Puspita , Mesran Mesran
Published: October 2023

Acceptance of new students is a school activity that occurs every year, even in the middle of the teaching year. This activity is the first step to improve the quality of education, namely choosing the quality of students. In general, the process of admitting new students is still done manually, namely by recording student data and the student selection exam schedule to the student data that has been accepted. This is one of the problems every year that can hinder the work of teachers and even school staff. Therefore, we need the right system to be used in schools so that it can assist in the acceptance of new students. One system that is able to solve these problems is the Decision Support System (SPK). . SPK aims to provide information, guide, provide predictions and direct users of information so they can make better decisions. In implementing the SPK, ranking methods are used so that the results obtained are more effective, such as the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Method. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method where it is expected that the normalization process in calculating the value of new student admissions. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method is a method which has a calculation level using minimum calculations and is very simple and practical for applied to the system. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has a high level of flexibility and convenience on separating the subjective part that comes from an assessment process into the decision weighting criteria using several decision-making attributes. The final result showed that Angga Rifai Zul Fiqri ranked first with a final preference score of 1.0522, which was the highest among all candidates.
Sistem Pendukung Keputusan Rekomendasi Pembelian Perumahan Menerapkan Metode MOORA
Authors: Lubis Juanda Hakim , Mesran Mesran , Edrin Salsabila , Nasution Afriyani
Published: October 2023

Housing is a secondary need. For the selection of the right housing, it must be adjusted to the wishes of consumers. When selecting housing or determining where to live, consumers must look for brochures and visit housing sales sites, and do not choose housing at random just because friends or other people offer it, because this can cause regret because it is not in accordance with which are desired. To assist prospective buyers in making housing buying decisions, we need a decision support system that will assist prospective buyers in choosing the desired housing. In order to get the best results, we need a system that can help determine the house in such a way that consumers are satisfied. Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) is a method provided by SPK to facilitate housing selection because this method has good selectivity in determining different goals and criteria. After carrying out the calculations of the MOORA method, the final result is obtained which shows that the alternative with the highest Yi value is A1 with a Yi value of 0.282. In the second rank, there is alternative A2 with a Yi value of 0.277, while the third rank is occupied by alternative A5 with a Yi value of 0.263. Therefore, based on predetermined criteria, alternative house A1 can be considered as the best option.
Strategi Maximum Profit Algoritma Greedy dalam Kecerdasan Buatan Penentu Aktivitas Fisik pada Mobile Exergame
Authors: Setiarini Siti Dwi , Fitriani Sofy , Hayati Hashri
Published: October 2023

The Covid-19 pandemic has started to subside. However, after the pandemic subsided the obesity rate in Indonesia continued to increase. The new habits formed after the pandemic are activities that can be done at home. This is an opportunity to be able to reduce obesity by doing physical activity at home. Physical activity undertaken specifically to lose weight. However, various problems arise when doing physical activity. Such as requiring expensive fees, monotony, and others. Mobile exergame is one solution to this problem. In previous research, exergames that use the brute force algorithm in determining physical activity take a long time. This problem will be solved using a greedy algorithm which also uses a maximum profit strategy. Descriptive statistics are used to compare the average time needed by the two algorithms to select the physical activity to be performed in an exergame. The results of this study indicate that in terms of time the greedy algorithm that uses the maximum profit strategy is proven to be faster than the brute force algorithm.
Face Mask Recognition Menggunakan Model CNN (Convolutional Neural Network) Berbasis Python dan OpenCV
Authors: Putra Chuy Mandala , Triayudi Agung , Ningsih Sari
Published: October 2023

During the COVID-19 pandemic, masks are one of the main measuring tools in carrying out health protocols, masks are also a top priority when carrying out activities outside the home or office. Because masks are quite effective in filtering out disease particles that allow users not to get infected. Therefore, many places have made masks an important requirement in maintaining health protocols during the COVID-19 pandemic. Previously there was a system that had been created to assist the government in implementing the mandatory wearing of masks, but there were still deficiencies. Therefore the authors created a system to detect mask wearing by updating previous researchers using the convolutional neural network (CNN) algorithm. For making this system the author uses the PYTHON and OPENCV programming languages. which will produce four parts in this detection, namely Mask, No Mask, Covered Mouth Chin and Covered Nose Mouth.
Penerapan Sistem Pendukung Keputusan dalam Penentuan Alat Bantu Media Pembelajaran Fisika Terbaik Menggunakan Metode PSI
Authors: Indini Dwina Pri , Mesran Mesran , Triayudi Agung
Published: October 2023

Technology in the Revolutionary Era 4.0 and Society 5.0 made changes in the manual learning system to digital. Along with the development of technology that makes technology and humans very difficult to separate. There are many ways to acquire learning knowledge, one of which is to use learning media tools that are already available on mobile phones. There are so many physics learning media tools available that make students confused in determining the best media to use. In determining physics learning media tools when learning online there are several criteria for Storage Capacity, Application Features, Number of Materials, Number of Language Choices, Number of Users and Rating Reviews. Based on these problems, a decision support system is needed as a problem solving technique and is assisted by a method that can produce an accurate final value. The method is the Preference Selection Index (PSI) method which is very helpful in generating the best weight and preference values ​​from alternative data and criteria so that the final result is that the best physics learning media tool is in Alternative F4 with a value of 0.79563, namely the PhyWiz application.
Clustering Content Types and User Roles Based on Tweet Text Using K-Medoids Partitioning Based
Authors: Benaya Raisa , Sibaroni Yuliant , Ihsan Aditya Firman
Published: October 2023

In this modern era, the spread of information occurs rapidly through social media. One of the channels for disseminating information is through the Twitter platform. Many Twitter users respond to existing content with positive, negative and neutral responses. One of the hot content to respond to is political content. This content is currently being discussed considering the approaching election of the 2024 Presidential Candidate of the Republic of Indonesia. One of the candidate pairs discussed was Anies Baswedan. With so many responses from Twitter users, it will be difficult to track whether users support Anies Baswedan to run as a presidential candidate due to the large number of responses. This study aims to determine the response of twitter users to the advancement of Anies Baswedan as a presidential candidate. The method used in this study is the K-Medoids Partitioning-Based algorithm based on twitter user text. This algorithm was chosen because it is easy to implement considering the basis of K-Medoids development is the K-Means algorithm but the K-Medoids algorithm can overcome the shortcomings of the K-Means algorithm which is sensitive to outliners. The evaluation will be done using Silhouette Score which produces a value of 0.35 with the number of clusters is 2. Then an analysis of each cluster is carried out by looking at the words in the cluster. As a result, from the two clusters formed, both clusters contain positive content and show that Twitter users support Anies Baswedan to run as a 2024 presidential candidate.
Sistem Pemilah Menggunakan Conveyor dan Pemantauan Ketinggian Sampah Logam, Anorganik, dan Organik Berbasis Internet of Things
Authors: Gessel Youla , Bahri Syamsul , Nirmala Irma
Published: October 2023

Pemilahan jenis sampah logam, anorganik dan organik dilakukan agar sampah terkumpul sesuai jenisnya dan mempermudah pengolahan. Selain itu, pemantauan diperlukan untuk memberi informasi pada saat tempat sampah dalam keadaan penuh. Oleh sebab itu, diperlukan sistem yang dapat memilah dan memantau ketinggian sampah pada tempatnya. NodeMCU ESP32 sebagai pengendali keseluruhan sistem. Sensor proximity induktif, kapasitif, dan optik untuk deteksi jenis sampah, motor servo untuk pemilahan, dan sensor ultrasonik HC-SR04 untuk pemantauan ketinggian sampah. Antarmuka website digunakan untuk pemantauan tempat sampah dari jarak jauh. Pengujian keseluruhan oleh ketiga sensor pendeteksi jenis sampah mendapatkan akurasi keberhasilan yaitu 96,67%. Pengujian pembacaan sensor ultrasonik HC-SR04 mendapatkan nilai error sebesar 2,517% untuk ultrasonik HC-SR04 1, nilai error sebesar 1,9315% untuk ultrasonik HC-SR04 2, dan nilai error sebesar 2,176% untuk ultrasonik HC-SR04 3. Hasil pengujian sistem menunjukkan sampah yang terkumpul sudah sesuai dengan jenisnya dan mempermudah pengguna dalam memantau tempat sampah penuh atau tidak.
Penentuan Prioritas Pendaftaran Tanah Sistematis Lengkap Melalui Clustering Jumlah Sertifikat Hak Atas Tanah Menggunakan K-Means
Authors: Restu Putri Hanaki , Maimunah Maimunah , Ratna Arumi Endah
Published: October 2023

In carrying out its duties and functions to serve the community in the land sector, BPN Magelang Regency is still experiencing several obstacles such as in terms of filing and determining service priorities in 21 sub-districts in Magelang Regency. To improve the quality of BPN services in Magelang Regency, this research will build a system to assist file management and grouping of service priorities by implementing the K-Means Clustering method. The K-Means Clustering method was chosen because this method can calculate the grouping of several alternatives based on the criteria. The result of this study is that the application of a synchronized web-based PTSL application can make it easier for PTSL officers to manage land title registration files. In addition, the integration of K-Means Clustering calculations that are implemented into the system can be used as an approach tool in determining which districts are the priority for handling land certificate.
Analisa Sistem Pakar Menggunakan Algoritma Teorema Bayes Untuk Mendiagnosa Penyakit Fibrodysplasia Ossificans Progressiva (FOP)
Authors: Rifqi Muhammad Naufal , Iskandar Agus
Published: October 2023

Fibrodysplasia Ossificans Progressiva (FOP) adalah penyakit langka yang disebabkan oleh kelainan genetik yang menyebabkan pembentukan tulang tidak normal di jaringan lunak tubuh. Mendiagnosis FOP menimbulkan tantangan karena langkanya kasus dan gejala awal yang ambigu. Kedua, karakteristik unik FOP menyulitkan membedakannya dari penyakit lain. Pemahaman terbatas tentang FOP dapat menyebabkan kesalahan diagnosis. Harapan muncul dengan kemajuan kecerdasan buatan, khususnya sistem pakar, yang membantu mendiagnosis FOP berdasarkan pengetahuan terprogram. Teorema Bayes, sebuah sistem kecerdasan buatan, digunakan untuk menghitung probabilitas diagnosis. Hasil diagnosa menunjukkan kemungkinan 74% pasien menderita FOP. Metode ini menggunakan data relevan untuk menghitung probabilitas secara akurat dan memberikan estimasi tingkat kepercayaan dalam mendiagnosis penyakit. Hasil ini panduan bagi dokter menyusun rencana perawatan yang sesuai dan efektif. Penerapan teknologi ini berpotensi meningkatkan manajemen pasien dan kualitas hidup mereka dengan FOP. Tetap diingat bahwa diagnosis medis memerlukan konfirmasi melalui pemeriksaan menyeluruh oleh para profesional kesehatan. Keberhasilan teknologi kecerdasan buatan dalam mendiagnosis FOP memberikan harapan bagi pengembangan perawatan lebih lanjut untuk kondisi langka ini.
Analisis Perbandingan Top 10 Best-Value dan Top 10 Traveler-Ranked Hotel di Kota Ternate Menggunakan MOORA
Authors: Singgalen Yerik Afrianto
Published: October 2023

There are a variety of factors that influence hotel visitors' decisions. The first consideration pertains to the room and amenities, while the second comprises prior guest ratings. Tripadvisor is frequently used to propose lodging and amenity services in different places. Using the MOORA decision support model, this study compares the top 10 best-value hotels in Ternate City to the top 10 most-recommended hotels by travelers. This research consists of four phases: the data gathering phase, the data analysis phase, the data interpretation phase, and the reporting phase. The data processing results utilizing the MOORA decision support model on the top 10 best-value hotels in Ternate City revealed a considerable disparity with the Tripadvisor rankings based on room and amenity criteria and guest reviews. Muara Hotel Ternate has a total scale of 0.491% based on parameters related to its rooms and amenities. Additionally, the order is dynamic and dependent on guest rating criteria. The Bela International Hotel ranks #1 if review data is considered because its reviews exceed 100. The same conclusion was drawn from the data processing findings of the top 10 traveler-ranked hotels in Ternate City, where the ranking results based on room and amenities criteria refer to the Ternate City Hotel with a total yi value of 0.79. The ranking results are also dynamic and dependent on guest rating criteria. If the number of reviews is considered, the Bela International Hotel will be ranked #1 because its number of studies is more significant than 100. This implies that information about rooms and hotel amenities and the number of guest evaluations on the Tripadvisor website can be crucial in influencing hotel guests' decisions regarding their stay.
Evaluation of Plant Residues: Samsun Province
Authors: GEDİK Cihat , GÜRDİL Gürkan A. K. , DEMİREL Bahadır
Published: October 2023

This study was carried out to determine the biomass potential, energy value, bio-composting material and composting possibilities produced from plant and animal residues in Samsun. Samsun is a province of Türkiye in the Black Sea region. Samsun province has 17 districts. Residue amounts of agricultural products grown in Samsun were calculated using the Turkish Statistical Institute (TUIK) 2021 and year product production data, Türkiye Biomass Energy Potential Atlas (BEPA) 2021 biomass data. The total amount of agricultural waste is approximately 877.812 tons wheat 254.154 tons, paddy 132,891 tons, maize 53.861 tons and oat 47.797 tons in cereals in fruits, hazelnut is 66.363 tons and peach is 125.065 tons. Total heating value was found as 5.439.003 GJ. Hazelnut was the highest contributor to this value with 27% as fruit for cereals, it was maize with 17.14%. The energy equivalents of the biomass amounts are respectively; 37.34% hazelnut, 24% paddy, 10% wheat, 17.4% maize and 11.26% other plants were found.
IMPLEMENTACIÓN DE UNA PLATAFORMA VIRTUAL EDUCATIVA PARA EL CENTRO EDUCATIVO BILINGÜE FEDERICO ZÚÑIGA FELÍU
Authors: Delgado Batista César Alexis , Sánchez Rodríguez Mariela Yamileth , Ramos Sánchez Erick
Published: October 2023

La integración de tecnologías innovadoras en la educación se ha convertido en un requerimiento vital para el progreso pedagógico. Postpandemia, las instituciones educativas están adoptando la implementación de plataformas virtuales con el propósito de responder a las transformaciones educativas actuales y superar los desafíos de la educación remota, promoviendo la integración efectiva de la tecnología en el proceso educativo. El Centro Educativo Bilingüe Federico Zúñiga Feliú (CEBFZF) del distrito de Penonomé en la Provincia de Coclé es una de ellas, con una membresía que supera los 2 mil estudiantes requiere de la implementación de un entorno virtual que sirva de apoyo a la gestión académica acorde con los nuevos modelos educativos. Para lograrlo, se plantea el uso de la metodología Scrum con un enfoque de desarrollo iterativo para identificar necesidades y problemáticas a través de la aplicación de instrumentos basados en encuestas y entrevistas a usuarios, la propuesta y desarrollo de una plataforma de aprendizaje basada en el sistema de gestión de aprendizaje LMS Moodle con la perspectiva de generar un mayor rendimiento académico de los estudiantes, así como también la optimización en la gestión y administración de los cursos, su adaptabilidad a las necesidades cambiantes y su potencial innovador para modelar futuros proyectos educativos a lo interno del centro educativo y una solución integral a los desafíos de la educación moderna en la región, como modelo para futuras iniciativas educativas en colegios públicos oficiales de la República de Panamá. Esta es una investigación en desarrollo.