bluuebunny/crossref_metadata_2025 huggingface dataset:
The relationship between the internal and external morphological parameters of honeybee queens (Hymenoptera: Apidae) and the determination of morphological variation
Authors: Özbakır G. Özmen
Published: April 2023

This study was carried out to determine the crucial external and internal morphological characteristics for evaluating queens in three rearing periods (May, June, and July). Data of 65 queens reared from the local honeybees of the Sanliurfa (Apis mellifera L.) and Anatolian (Apis mellifera anatoliaca) honeybee colonies were used. Discriminant and principal component analyses (PCA) were done for thirty-one external and internal morphological characteristics of queens. The highest weight of the queen at emergence was determined in May for the Sanliurfa queens and in June for the Anatolian queens. The averages in ovary weight and spermathecae diameter of queens were found to be non-significant according to groups and periods. The number of ovarioles of the queens was different according to rearing period. Using the left basitarsus width variable, the Sanliurfa and Anatolian queens were classified correctly to their pre-assigned groups using discriminant analysis (73.8%). According to the result of PCA applied to all variables of queens, nine components explained 81.68% of the total variation. The seven variables in the first principal component were the left basitarsus length, the right hindleg length, the left hindleg length, the right basitarsus length, the left tibial length, the right tibial length, and the left basitarsus width. The forewing and the hindwing characteristics were included in the second principal component, and the number of ovarioles was included in the third principal component. The study shows that genotypes can be discriminated using the hindleg variables, in particular, as well as the internal and external morphological parameters of the queens.
Inflation phobia, myths and dogma exacerbate policy responses*
Authors: Chowdhury Anis , Sundaram Jomo Kwame
Published: April 2023

This article offers an alternative narrative on contemporary inflation and policy responses to it. It argues policy responses to inflation have been driven by unfounded beliefs underlying current inflation myths and phobia. These are rooted in neoliberal ideology and dogma, especially influential since the neo-classical counter-revolution against Keynesian macroeconomics. They prevent better understanding of the nature and causes of inflation, leading to inappropriate policy responses exacerbating the situation. Misdiagnoses, policy confusion and anti-labour bias are exposed before offering an alternative narrative and concluding remarks.
BRICS-Plus: the New Force in Global Governance
Authors: Lissovolik Ya. D.
Published: April 2023

The global economy is currently experiencing unprecedented changes as the BRICS nations establish themselves as a signifi cant power center and a crucial factor in the transformation of the international economic framework. Following China’s chairmanship of BRICS, which culminated in the BRICS+ meetings with a diverse range of emerging market economies, these and other countries have expressed their desire to join the BRICS group. The expansion process was largely catalyzed by the openness exhibited by BRICS through the BRICS+ format. The main question at this juncture is how the BRICS+ format will develop and whether it can enhance the position of BRICS in the global arena and among the Global South. This paper explores some of the opportunities presented by the BRICS+ concept in the creation of new global governance, particularly through the establishment of platforms – including those in the real sector and fi nancial platforms aimed at promoting greater cooperation among the sovereign wealth funds and regional development banks of the Global South. Another critical area is the launch of a new reserve currency that could serve as the foundation for greater economic integration across the broad platform of the developing world.
Economic Development as a Method of Foreign Policy Risk Compensation: The Case of Armenia
Authors: Dunamalyan N. A. , Davtyan V. S. , Tavadyan A. A.
Published: April 2023

Throughout a 35-year period, the Armenian economy has withstood numerous crises and political shocks, including the Spitak earthquake, the fi rst Karabakh war, a decline in GDP by over 50 %, transport blockades, and the 2008 economic crisis. The aftermath of the 2020 44-day war in Nagorno-Karabakh introduced new risks and drastically altered the country’s development and economic conditions. Despite the broader context of international confrontation, which has spilled over into military conflict in Ukraine, the Armenian economy has created possibilities for growth under geopolitical uncertainty. In the short-term perspective, these developments have had a positive impact on economic growth in 2022. However, the continuity of such impact on the Armenian economy depends on the government’s concrete approaches and further existence of current conditions. The article aims to explore the interrelationship between Armenia’s foreign policy and economy in the context of global and regional changes. The policy of the Armenian government is considered through the prism of the main features of the notion “small state,” with particular attention paid to the logic of changes in foreign policy throughout the entire period of independence. By utilizing large-scale statistical data, the article presents the causes of the radical growth of Armenia’s GDP in 2022 while simultaneously analyzing its structure. The development of the country’s energetic system is presented as an illustration of the establishment of a separate field that combines export possibilities, investment potential, and risk formation. The article also covers the reasons for the relative stability of the Armenian economy under the background threat of military escalation.
Bounding the Number of Minimal Transversals in Tripartite 3-Uniform Hypergraphs
Authors: Bazin Alexandre , Beaudou Laurent , Kahn Giacomo , Khoshkhah Kaveh
Published: April 2023

We focus on the maximum number of minimal transversals in 3-partite 3-uniform hypergraphs on n vertices. Those hypergraphs (and their minimal transversals) are commonly found in database applications. In this paper we prove that this number grows at least like 1.4977^n and at most like 1.5012^n.
Smart Choices and the Selection Monad
Authors: Abadi Martin , Plotkin Gordon
Published: April 2023

Describing systems in terms of choices and their resulting costs and rewards
offers the promise of freeing algorithm designers and programmers from
specifying how those choices should be made; in implementations, the choices
can be realized by optimization techniques and, increasingly, by
machine-learning methods. We study this approach from a programming-language
perspective. We define two small languages that support decision-making
abstractions: one with choices and rewards, and the other additionally with
probabilities. We give both operational and denotational semantics.
In the case of the second language we consider three denotational semantics,
with varying degrees of correlation between possible program values and
expected rewards. The operational semantics combine the usual semantics of
standard constructs with optimization over spaces of possible execution
strategies. The denotational semantics, which are compositional, rely on the
selection monad, to handle choice, augmented with an auxiliary monad to handle
other effects, such as rewards or probability.
We establish adequacy theorems that the two semantics coincide in all cases.
We also prove full abstraction at base types, with varying notions of
observation in the probabilistic case corresponding to the various degrees of
correlation. We present axioms for choice combined with rewards and
probability, establishing completeness at base types for the case of rewards
without probability.
Politische Bildung an berufsbildendenden Schulen
Authors: Jung Eberhard , Kenner Martin , Öhl Friedrich , Klemenjak Martin , Caduff Claudio
Published: April 2023

Der gegenwärtige Zustand der politischen Bildung an berufsbildenden Schulen ist der Mittelpunkt des dritten Bandes der Wiener Beiträge zur politischen Bildung. Analysiert und hinterfragt werden dabei die politischen Bildungsideale beruflicher Bildungssysteme: Was verbindet und unterscheidet die politische Bildung im ‚Berufsschulalltag? in Deutschland, Österreich und der Schweiz? Betrachtet wird das nur schwer messbare Lernumfeld der Berufsschulen. Mit Beiträgen von Eberhard Jung, Martin Kenner, Otto Wucherer, Friedrich Öhl, Martin Klemenjak und Claudio Caduff. Herausgeber der Reihe Wiener Beiträge zur politischen Bildung sind Thomas Hellmuth, Vorsitzender der Internationalen Gesellschaft für Politische Bildung, Wolfgang Sander, Professor für Didaktik der Sozialwissenschaften an der Justus-Liebig Universität Gießen und Manfred Wirtitsch, Leiter der Abteilung für Politische und Europapolitische Bildung, Österreich.
Soziale Marktwirtschaft
Authors: Quaisser Wolfgang
Published: April 2023

Deutschland stand in den vergangenen zwei Jahrzehnten wirtschaftlich und sozial vor der Herausforderung, die nationale Einheit zu bewältigen sowie Globalisierung und europäische Integration, insbesondere die Osterweiterung, als Chance zu nutzen. Mit der jetzigen Finanz- und Wirtschaftskrise kommt eine weitere Bewährungsprobe hinzu. Kritiker halten die Soziale Marktwirtschaft für ein Auslaufmodell, ihren Befürwortern gilt sie als Exportschlager. Vergessen wird vielfach, dass die Soziale Marktwirtschaft kein starres Konstrukt ist, sondern ihre Anpassungsfähigkeit im Zuge von veränderten technologischen und internationalen Rahmenbedingungen schon mehrfach unter Beweis gestellt hat. Der vorliegende Band thematisiert zentrale wirtschaftspolitische Herausforderungen für das deutsche Wirtschaftssystem und stellt sie in den Kontext der politischen Bildungsarbeit der Akademie
Dimensionen der Globalisierung
Authors: Auernheimer Georg
Published: April 2023

Hat die Globalisierung eine neue Qualität erreicht? Ausgehend von dieser Frage beleuchtet der Autor die Dynamik der internationalen Finanzmärkte, die transnationale Wertschöpfung im Produktionssektor, die sozialen Folgen des Standortwettbewerbs sowie die aus der Globalisierung folgenden ökologischen Probleme. Die politischen Steuerungsmöglichkeiten auf supranationaler Ebene, im Besonderen die UNO, werden dabei genauso erörtert wie die Frage nach demokratischer Legitimation. Die Einführung in das Thema komplettiert der Autor durch eine Betrachtung der Kritik an der Globalisierung und der Kontroversen um die kulturelle Globalisierung. Die Ergebnisse des Buches sind aus einer Einführungsvorlesung des Studiengangs Global Studies hervorgegangen. Leserinnen und Leser erhalten somit einen umfassenden Überblick über die fachlichen Perspektiven, insbesondere der Sozialwissenschaften.
Analysis and Design of Multi-Storey Steel Staggered-Truss System
Authors: P Shanila , U Minu
Published: April 2023

A Staggered Truss System (STS) is a brand-new idea in the construction of high-rise buildings. It is an effective design technique to improve efficiency in building construction. It was initially created in the 1960s at the Massachusetts Institute of Technology. By providing STS we can increase the strength and ductility of the building. It helps to cut down the number of interior columns and thereby reduce the cost of the building construction. This project involved using the ETAB software to undertake an analytical investigation into the seismic behaviour of a 16-storey steel staggered-truss system. The structural shape of the trusses was varied, and their influences on the seismic behaviours of the system were studied. The seismic performance of STS structures by varying the Vierendeel panel width was also evaluated. Time history analysis was used to analyse the models. From the analysis result maximum storey displacement, maximum storey drift and base shear are extracted. From the result, it was found that the model with warren trusses showed the highest strength and stiffness to the corresponding earthquake but all other truss shapes also achieved the target performance level and also the model with less Vierendeel panel width shows higher base shear and lower inter storey drift and displacement.
Experimental Study on the Mechanical Properties and Cracking Characteristics of Bacterial Concrete
Authors: A Ansal , M V Sabeena
Published: April 2023

Concrete has been used as a construction material for a long period. When the concrete members are exposed to extreme conditions cracks develop. When a crack opens harmful contaminants may enter the concrete matrix. Water may enter through this crack and result in the corrosion of reinforcement bars. Corrosion of the reinforcement bar also results in the formation of cracks. Compressive strength, flexural strength, split tensile strength and permeability are adversely affected by the formation of cracks. Once damaged these structures need to be repaired. Self-healing concrete is an environmentally friendly and cost-effective method for repairing small cracks. An efficient microbial agent for preparing self-healing concrete is the bacillus species. The sample preparation is done by using Bacillus subtilis. The concentration of bacillus opted for the sample preparation is cells per millilitre. The mechanical properties of bacterial concrete are experimentally evaluated and compared with that of conventional concrete. The tension in concrete is usually overlooked while evaluating the strength of reinforced concrete sections because it makes such a small contribution to member strength. Yet it makes a significant contribution to members’ performance under service loads. In this work, tension stiffening of bacterial concrete is experimentally evaluated on concrete prismatic members made of M20 grade concrete reinforced with 8mm and 12mm diameter bars. The direct tension specimen has a cross-sectional dimension of 60 X 60mm and a length of 600mm. The total length of the steel-reinforced specimens, including the bars, is 900 mm. The tension-stiffening properties of bacterial concrete are compared with that of conventional concrete.
Competitividad de las microempresas familiares. Análisis pre y pos COVID 19 en Azogues, Ecuador
Authors: Morocho Bustos Esteban Gabriel , Solis Muñoz Juan Bautista , Lugo García Jorge
Published: April 2023

El estudio de las microempresas es importante debido a que en el contexto ecuatoriano representan más del 50% del producto interno bruto, es por ello, que la presente investigación tiene como objetivo analizar la competitividad de las microempresas familiares del cantón Azogues en dos espacios de tiempo; pre y pos pandemia COVID-19, la cual tuvo un alcance descriptivo, longitudinal y correlacional. Por otro lado, la información pre pandemia se ocupó una investigación realizada por el autor del presente en el año 2020 mientras que para el levantamiento de la información pos pandemia se utilizó como instrumento un cuestionario diseñado por el autor, el mismo que fue validado por el coeficiente Alfa de Cronbach, presentando un resultado de 0,751 con un total de 15 ítems demostrando confiabilidad del instrumento. Entre los principales resultados pre pandemia se obtuvo que la competitividad en dicho periodo de tiempo estaba relacionada con variables como producción y operación, aseguramiento de la calidad y comercialización; mientras que, en el análisis pos pandemia la competitividad de las microempresas familiares del cantón Azogues está relacionada con variables como aseguramiento de la calidad, producción y operación, recursos humanos y gestión ambiental, siendo las variables de aseguramiento de la calidad y producción y operación constantes en los dos espacios de tiempo, para este análisis de utilizo la correlación de Sperman y la misma es estadísticamente significativa dado que su p-valor fue menor a 0,05.
Competencias y estrategias didácticas: experiencias de la Red ALFA en el Sur de Sonora, México
Authors: Martínez Lilia Zulema Gaytán , Valdez Laura Olivia Amavizca , López Eusebio Jiménez , Moreno Erika Ercilia Vázquez , Gutiérrez Helga Karina Tolano , Aranda David Francisco Valladares , Couder María Anabell Covarrubias Díaz
Published: April 2023

En este artículo se presentan algunas experiencias en las aplicaciones en competencias y didácticas que se han generado y aplicado por profesores e investigadores de las universidades que conforman la RED ALFA, la cual está integrada por tres universidades: Universidad Tecnológica del Sur de Sonora, la Universidad La Salle Noroeste y el Instituto Tecnológico Superior de Cajeme, localizadas en Cd. Obregón, Sonora, México. El Aprendizaje Basado en Proyectos (ABProy) y el Aprendizaje Basado en Problemas (ABP) fueron dos metodologías activas que se aplicaron en proyectos de las materias de ingeniería. Se discute un mecanismo que puede ser de gran utilidad para transferir los resultados de las investigaciones a la docencia activa.
Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas
Authors: Destriana Rachmat , Nurnaningsih Desi , Alamsyah Dedy , Sinlae Alfry Aristo Jansen
Published: April 2023

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category
Sistem Pendukung Keputusan Untuk Memilih BTS (Base Transceiver Station) Service Terburuk dengan Menerapkan Fuzzy MADM
Authors: Sianturi Hotman Jandri Vay , Sianturi Lince Tomoria
Published: April 2023

Information about the performance of a BTS (Base Transceiver Station) is needed to help improve a Network service. But in the selection of a good or bad BTS (Base Transceiver Station) it can be caused by several factors such as Transmission, Power, and Celldown BTS. Therefore we need a system that can provide recommendations using the right method, here are the decision support system methods including Fuzzy Multiple Attribute Decision Making TOPSIS. The TOPSIS method uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest (farthest) distance from the negative ideal solution from a geometric point of view using Euclidean distance (distance between two points) to determine the relative proximity of an alternative with the optimal solution . Positive ideal solutions are defined as the sum of all the best values ​​that can be achieved for each attribute, while the negative-ideal solution consists of all the worst values ​​achieved for each attribute. while the negative-ideal solution consists of all the worst values ​​achieved for each attribute.
Penerapan Teknik Single Linkage Dalam Klasterisasi Mahasiswa Berdasarkan Indikator Pembidangan Skripsi
Authors: Silalahi Eci Marcelina , Bu'ulolo Efori
Published: April 2023

Pelita Nusantara Medan STMIK Computer Informatics study program provides several fields of science that students can choose in completing their final thesis in the form of a thesis. During this time in its implementation, the determination of the field of this thesis was chosen by the student who will submit the thesis title as one of the requirements to obtain a bachelor's degree at STMIK Pelita Nusantara Medan without any direction from the campus either from the academic department or the head of the study program. Therefore, not a few students who ultimately choose a field of science that is not in accordance with their abilities. Based on the existing problems regarding the development of this thesis, a student clustering system was made based on the indicators of thesis development by applying one of the data mining methods, namely clustering, where the technique used was the Single Linkage Technique. Single Linkage Technique is a way to group objects or individuals based on criteria similarity size or closest distance between objects (minimum distances). Thus, the results of clustering (clustering) that are designed can help the academic STMIK Pelita Nusantara Medan, especially the Chairperson of the Computer Informatics Study Program in directing students in the determination of the field of thesis so that students choose the field of thesis in accordance with their abilities
Penerapan Algoritma Decision Tree Untuk Penentuan Pola Penerima Beasiswa KIP Kuliah
Authors: Arfyanti Ita , Fahmi Muhammad , Adytia Pitrasacha
Published: April 2023

The Indonesian Smart College Card (KIP Lecture) is a government program that has been implemented from 2020 until now. KIP Lectures are distributed by the Ministry of Education, Culture, Research and Technology through universities in each region. Where each university gets a different quota - based on the level of progress of the college. The provision of quotas for each university based on the accreditation at each university raises its own problems for these universities. The problem faced is that the number of new prospective students who register to take the KIP Lecture program exceeds the quota set for each university. The provision of KIP Lecture assistance to the wrong person will lead to misuse of assistance and also inappropriate targets. The acceptance of the selection process for new prospective students can be seen from the previous process that has been carried out. Data mining is a technique used to solve problems in large data processing. Decision Tree is an algorithm that is included in the classification technique in data mining. The process in the decision tree aims to group or classify data against their respective classes. The results of the Decision Tree algorithm are in the form of decision trees and rules, the results obtained are in the form of rules that can be used for future decision-making processes
Penerapan Metode MOORA pada Sistem Pendukung Keputusan Pemilihan Kepala Laboran
Authors: Harianto Kusno , Arfyanti Ita , Yusika Andi
Published: April 2023

In the process of carrying out academic activities in every university, it is inseparable from the existence of tendik. In college, the head of the laboratory is in charge of ensuring the implementation of the use of the laboratory in supporting the ongoing learning process. The head of the laboratory is in charge of regulating work mechanisms and procedures in the laboratory unit. The importance of the role of the head of laboratory for tertiary institutions requires universities to have a head of laboratory in accordance with the implementation of the tasks and responsibilities given. The selection of the head of the laboratory is not only done based on the length of work at the tertiary institution, but also must be seen from the knowledge, abilities, expertise, decision making and competency certificates possessed. Therefore, we need a way to help solve problems, especially by using a computerized system. Decision support system is a computerized information system. Decision support systems are widely used for corporate organizations to solve problems in the process of making or supporting decisions. The results obtained from the application of the MOORA Method are that alternative A1 was chosen to be the head of the laboratory with a final score of 0.48
Analisis Sentimen Kenaikan Harga BBM Pertamax Pada Media Sosial Menggunakan Metode Naïve Bayes Classifier
Authors: Sitio Sartika Lina Mulani , Nadiyanti Ria
Published: April 2023

Fuel Oil (BBM) is a very vital commodity. Fuel has an important role in people's lives. Because of the importance of fuel in people's lives, fuel is one of the basic needs of the community. The policy of increasing the price of fuel has always been a phenomenon in various media which causes pros and cons in society. The policy of increasing fuel prices has a big impact on society, both direct and indirect consumption. This study aims to explore public opinion, whether it shows negative or positive sentiment in the policy of increasing fuel prices. The increase in Pertamax fuel prices has drawn several opinions from citizens on Facebook social media. Sentiment analysis research was conducted to determine the response to Facebook comments on Brilio.Net accounts in 2022 related to the increase in Pertamax fuel prices with a dataset of 799 data, as well as a comparison of the number of positive, negative, and neutral comments. In addition, in this study to be able to determine the level of performance generated by the nave Bayes classifier method in the test. The author uses 80% of the comment dataset to be used as training data and 20% to be used as test data to be used as machine learning and test data. Then the data is classified by the system using orange data mining tools so as to produce a percentage of positive sentiment as much as 19%, negative sentiment as much as 22% and neutral sentiment as much as 59%. testing with the nave Bayes classifier method obtained the highest percentage accuracy rate of 99% from all datasets.
Penerapan Neural Network dengan Menggunakan Algoritma Backpropagation pada Prediksi Putusan Perceraian
Authors: Zulastri Zulastri , Afrianty Iis , Budianita Elvia , Syafria Fadhilah
Published: April 2023

The high divorce rate has a negative impact on couples who will file for divorce and also has an extreme impact on children such as psychological disorders of children. The magnitude of the impact of divorce, it is necessary to predict the divorce decision. In this study, the application of the backpropagation method to predict divorce decisions was carried out. The data used is data on divorce decisions from the Pekanbaru Religious Court from 2020 - 2021 totaling 779. The dataset obtained is not balanced with 724 accepted classes and 55 rejected classes, balancing is done by reducing excess classes. The parameters used in this study build 3 architectural models [6-7-1], [6-9-1], [6-12-1], learning rate (0.01, 0.03, 0.09), max epoch and data sharing (70:30), (80:20), (90:10). The results of this study indicate that the best architectural model is in the network architecture [6-9-1] learning rate 0.09 epoch 300 dataset distribution 80% training data and 20% test data the accuracy value is 80% and the Mean Squared Error (MSE) is 0.1402. In this study, the backpropagation method was successful in predicting divorce decisions.
Sistem Rekomendasi Content-based Filtering Menggunakan TF-IDF Vector Similarity Untuk Rekomendasi Artikel Berita
Authors: Huda Arif Akbarul , Fajarudin Rohmad , Hadinegoro Arifiyanto
Published: April 2023

The population of active students in the Informatics Bachelor Program, Universitas Amikom Yogyakarta, in the odd semester of 2021 is 3,870. Efforts to track interest in the three concentration options were carried out early on through article literacy recommendations. Various articles are produced continuously and provided on an ongoing basis to students. However, the many articles offered daily make students overwhelmed and tend to choose articles that do not match what they want. To help solve this problem, recommender system is developed. A recommender system helps to estimate the prediction value or relevancy of an article and create a ranking according to user's taste. Content-based Filtering technique is used in this research. Using the dataset from Kabar Informatika news portal of University of Amikom Yogyakarta, the developed Content-based Filtering Recommendation System is able to produce Recall@5 score at around 73% and Recall@10 at around 80%.
Sistem Pengukuran Detak Jantung Berbasis Visual Menggunakan Plane Orthogonal to Skin dan Peak
Authors: Nasrudien Fahmi , Yulian Dhany Eka , Lubabsyah Ahmad Naufal , Firmansyah Riza Agung , Pambudi Wahyu Setyo
Published: April 2023

Measurement of vital signs is a procedure that is usually done when health workers carry out screening. The vital signs in question include body temperature, heart rate, blood pressure, oxygen saturation and others. The equipment used to measure these vital signs should generally be touched to the subject (by contact). However, due to the COVID-19 pandemic, contact measurements need to be avoided. So it is necessary to make a non-contact measuring system for vital signs. In this study, the only vital signs measured were heart rate. In this study it is proposed to make a non-contact heart rate meter with a plane orthogonal to skin (POS) that uses a peak detection algorithm to determine the heart rate value. In general, the POS method using the fast Fourier transform (FFT) requires longer data which makes the process take longer. So in this study, a peak detection algorithm will be used to calculate the heart rate value that has been extracted using POS which has a faster process. Based on the testing of the POS-FFT method and the POS-peak detection method, it was found that POS-peak detection gave stable results at all data lengths. The smallest mean absolute error generated is with a data length of 128 which is 5.19 bpm
Implementation of Profile Matching in the Decision Support System for Best Student Selection
Authors: Rumandan Rhaishudin Jafar , Nuraini Rini , Sari Marliana
Published: April 2023

The determination of outstanding students is carried out by schools, which provide scholarships to their students in order to provide motivation to improve their academic achievement. The selection of the best students is usually done by looking at the student's report card scores, followed by the homeroom meeting. This is considered not objective and requires a long time to select the best students. Through a decision-support system, the best students can be selected based on the best criteria and alternatives. In a decision support system, a method is needed to determine the best alternative. The profile matching method is considered to have a better level of objectivity because, to measure the value of each indicator, the valuation variable is derived again with sub-indicators and is weighted using assessment parameters. This study aims to solve the problem of selecting the best student through a decision-support system with the output in the form of a ranking using the profile matching method. Based on the calculation of profile matching, it shows that the results of calculating the final score of the best student 1 are a final score of 3.000, the best student 2 gets a final score of 2.955, and the best student 3 gets a final score of 2.693. From the final score, first place in the selection of the best student was Putri Nurlandari with a final score of 3.000.
Identifikasi Kualitas Kesegaran Ikan Menggunakan Algoritma K-Nearest Neighbor Berdasarkan Ekstraksi Ciri Warna Hue, Saturation, dan Value (HSV)
Authors: Jerandu Charmelia Yunizar , Batarius Patrisius , Sinlae Alfry Aristo Jansen
Published: April 2023

Fish has a very high nutritional content and is needed by the human body, such as a protein. With the increasing production, and need for consumption of goodand fresh fish, irresponsible sellers take advantage of this situation by selling fish that are not fit for consumption, such as fish that are not fresh (rotten), fish that contain chlorine and formalin which can be detrimental to consumers. The purpose of this study was to determine how accurate the identification of fish freshness quality using the extraction of Hue, Saturation, and Value (HSV) color characteristics. The research method used is K-Nearest Neighbor (KNN) and is classified into several parts, namely, data collection techniques, needs analysis, design, training, and then testing. The image sample data used in this study amounted to 240 images consisting of fresh and non-fresh fish images, which will then be divided into training data and test data. The training data sample amounted to 220 images with a division of 110 fresh fish images and 110 non-fresh fish images, while the test data sample totaled 20 images with a division of 10 fresh fish images and 10 non-fresh fish images. Analysis of color features is carried out on the gills and head or the area around the eyes of the fish using Red, Green, and Blue (RGB) colors, which will be converted into Hue, Saturation, and Value (HSV) color spaces for the extraction and training processes to obtain results. The results showed that the use of HSV color character extraction was successfully applied with an accuracy value in the training of 94.09% and testing of 90%
Analisis Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dan Metode Weighted Aggregated Sum Product Assessment (WASPAS) pada Pemilihan Mekanik Sepeda Motor Terbaik
Authors: Sari Venny Novita , Alinse Rizka Tri , Sallaby Achmad Fikri
Published: April 2023

A company engaged in the sale and repair of motorcycles, of course, requires a reliable and responsible mechanic in his work, for that a motorcycle mechanic is needed in accordance with the terms and conditions required by the motorcycle company. Many mechanics are now opening motorbike repair services, after repairing the motorbike it becomes even worse than before it was repaired, so that it can harm consumers of the repair service. This is because a mechanic only has desperate capital without any experience and abilities that can be guaranteed. Therefore, in selecting the best mechanic, a decision support system is needed with various methods that can be used, such as the TOPSIS method, VIKOR, MOSRA, AHP, MOORA, WASPAS, WP and so on. In this study, the methods used are Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods. Each alternative will be assessed based on the criteria for Trouble Shooting, Working Time, Education and Warning Letter, then the process of compiling or ranking each alternative is carried out, so that the best alternative or motorcycle mechanic is obtained. The results after applying the MOORA method, namely alternative A2 is the best mechanic with a value of 1.637 and the WASPAS method is the best mechanic in Q2 with alternative A2 with a value of 0.834. Both methods produce the same results, namely the best mechanic is A2
Klasifikasi Nama Paket Pengadaan Menggunakan Long Short-Term Memory (LSTM) Pada Data Pengadaan
Authors: Fajri Fathorazi Nur , Syaiful Syaiful
Published: April 2023

Every year the government always holds procurement of goods and services (tenders) which are informed through the Electronic Procurement Service (LPSE) or the General Procurement Plan Information System (SIRUP). The process of selecting the type of procurement is still manual, namely by selecting the package category so that it is possible for mistakes to occur such as the type of service procurement into the category of goods procurement type or vice versa. Therefore, this research proposes to use the Natural Language Processing (NLP) method that can classify these packages based on existing categories. The method used is Long Short-Term Memory (LSTM) by comparing existing classification methods such as naïve bayes, logistic regression, decision tree, XG Boost, Gradient Boost, Random Forest and Support Vector Machine. The results obtained by the LSTM method have a higher accuracy than other methods, with an accuracy of 90.25%. With a parameter configuration of 100 units in the LSTM layer, epoch 10, batch size 64 and validation step 5
The Role of Digital Forensic Experts in Cybercrime Investigations in Indonesia Based on The Scopus Research Index
Authors: Subektiningsih Subektiningsih , Hariyadi Dedy
Published: April 2023

The development of information technology, besides having a positive impact, has negative impacts, such as an increase in cybercrime. Several parties are involved in handling cybercrimes in Indonesia, including expert witnesses in digital forensics. It is hoped that cybercrimes can be uncovered through a digital forensic approach. Research related to cybercrime and Digital Forensics in Indonesia is experiencing increasing growth from 2010 to 2021. A very rapid increase was shown in 2017. Through bibliometric analysis, you can analyze expert witnesses in the field of digital forensics by region in Indonesia, such as Sumatera, Western Java, Central Java, and Eastern Java. An expert witness in digital forensics must have technical skills in operating digital forensic tools and analysis and academic skills in uncovering crimes. The results of this study are very useful for law enforcement officers or lawyers in determining expert witnesses in the field of digital forensics. List of digital forensic experts in Indonesia who have been tested from their scientific studies by conducting various paper publications. So, law enforcement can synergize with digital forensic experts to solve cybercrime. One of the roles of a digital forensic expert is as an expert witness in court. Through research, it is hoped that there will be an increase in awareness of digital forensic experts to conduct scientific publications so that it is easier to be recognized by law enforcement and academics for updating methods and techniques of cybercrime investigation
Analisa Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Lokasi Usaha
Authors: Sudarsono Bernadus Gunawan , Zulkarnain Iskandar , Buulolo Efori , Utomo Dito Putro
Published: April 2023

In the world of work, competition certainly exists. Especially in the selection of the location of the business being run. The better the location of the place of business, of course, the more competition. In this study, we will discuss the selection of a strategic and appropriate business location. The location of the business greatly affects the development of the business being run, many businesses do not develop (loss) so they have to stop their business because the location of the business is far from residential areas, the location is narrow and so on. To avoid this, we need a system that can solve the problem which is called a decision support system. Decision support system is a structured system in making effective business location selection decisions using methods such as WASPAS, SPI, TOPSIS, WP, SAW, MOORA, MOOSRA, EDAS and many others. The selection of business locations used the MOOSRA and MOORA methods. Both methods are very simple and easy to understand with the assessment based on the criteria used, namely Number of Competitors, Crowd Center, Location Size, Place Rent Price and Location Cleanliness. The results obtained after applying the two methods in the selection of business locations, namely the highest alternative or the first rank is Alternative A1 with a reference value of 0.564
Optimization in Time and Score using IID Algorithm for K-Modes Clustering
Authors: Yulianti Farah , Sen Tjong Wan
Published: April 2023

Nowadays, there are numerous methods for analyzing data, one of which is cluster analysis. Because most practical data in today's analysis contains categorical attributes, categorical data clustering has recently received a lot of attention. To cluster categorical data, unsupervised machine learning techniques, which used frequency-based method, such as K-Mode’s clustering are used. The K-Modes algorithm takes advantage of the differences between the data points (total mis-matches or dissimilarities). The lower the dissimilarities, the more similar the data points, and thus the better the cluster. This paper aims to improve K-Mode’s clustering performance by incorporating the intercluster and intracluster dissimilari-ty measure, or IID measure, into the K-Modes algorithm rather than just using the standard simple-matching method to increase the algorithm's accuracy and execution time. This combined algorithm improves accuracy and execution time of the K-Modes algorithm. As a result, this algorithm can be used as an alternative to better cluster categorical data.
Penerapan Forecasting Menggunakan Metode Time Series Untuk Menentukan Proyeksi Sales di Perusahaan Manufacturing Furniture
Authors: Prasakti Lukito Angga , Juliane Christina
Published: April 2023

The large population certainly encourages companies, including manufacturing companies, to continue to develop their production both in terms of quality and quantity, especially since the number of companies with the same focus is quite large. This is because, every certain company wants to get a lot of profit and minimal consumer or customer complaints. One way that is considered to be able to overcome this is by carrying out company policy referring to forecasting product sales in the future. Therefore, researchers want to find out more about the application of forecasting to determine monthly sales projections for the following year at a Furniture Manufacturing Company. The aim is to determine the role of forecasting in making policies on the company's production at a later time by considering sales projections based on the company's forecasting results. The method used is time series by collecting data through documentation at the regular local market in 2022 to be precise 12 months. After the data is collected, it will be analyzed in depth so that it is known from the research results that careful forecasting will produce forecasts that are not far from reality and can help in calculating sales projections for furniture manufacturing companies at a later time, with a MAPE value of 0.06
Healthy Food Recommender System for Obesity Using Ontology and Semantic Web Rule Language
Authors: Aditya Naufal , Baizal Z. K. A. , Dharayani Ramanti
Published: April 2023

Today's lifestyle and eating patterns tend to be irregular due to busyness. People prefer eating foods that are fast and easy to obtain, but often lack knowledge of the nutritional content in them. These eating patterns lead to unbalanced nutrition and can cause various health problems and diseases, such as overweight and obesity. Due to a lack of information, people often turn to drugs instead of learning about healthy diets, making it difficult for them to determine what menu to choose or what type of food to consume. While there have been many studies to recommend healthy food based on user preferences, there is currently no recommender system that includes serving size and budget for each daily food recommendation that is implemented in a chatbot framework. This study proposes using ontology and the Semantic Web Rule Language (SWRL) to store knowledge in the ontology and then process it using SWRL to produce food recommendations based on user preferences. From a sample of user data which obtained 170 recommended meal menus. System performance is pretty good. Based on the validation results from nutritionists, the precision value was 0.852941, the recall was 1, and F-score of 0.920634 So that a healthy food recommendation system can be used to help the user follows a diet that meets his nutritional needs and is within his budget needed
Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Tubercolosis
Authors: Nyipto Wibowo Gentur Wahyu , Widiastuti Sri , Muratno Muratno , Lolang Enos , Soraya Soraya
Published: April 2023

In human life, health is the most valuable asset. a healthy body and soul gives happiness to everyone. But sometimes circumstances make human health decline. One of the causes of declining human health is due to viruses or bacteria that spread without people knowing it. One of the infectious diseases is tuberculosis (TB). Tuberculosis is a disease that occurs due to an infection caused by a bacterium called Mycobacterium tuberculosis. TB is a disease that spreads very easily, namely by air. The patient will spread germs through the air if the patient coughs or sneezes. Death is not uncommon because those with symptoms are afraid to go to the hospital for medical check-ups because they are hampered by a lack of funds. This situation is very concerning. Because of these circumstances, technological developments can be used as an alternative solution in replacing or assisting in diagnosing diseases experienced by people based on their symptoms. One of the technologies that develop about diagnosing disease is by using an expert system. An expert system is a system created by experts by developing technology based on science. In expert systems, their use must be combined with a method so that they can work properly and optimally. In this study the method used is the Bayes Theorem method. The Bayes Theorem method was developed by a priest named Thomas Bayes. The pastor comes from England who is a Presbyterian pastor. The Rev. Thomas Bayes developed Bayes' Theorem in 1763 and was perfected and redeveloped by an expert named Laplace. Based on the results of the above process, information was obtained that 87% of patients who consulted had pulmonary tuberculosis
Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS
Authors: Sulistya Kusuma Wardhani Annisa Risqi , Yahya Sitti Rachmawati , Tanwir Tanwir , S Usanto , Ahyuna A
Published: April 2023

Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds