bluuebunny/crossref_metadata_2025 huggingface dataset:
Structural Loads for Crew Escape System of Human Space Flight during Abort
Authors: S Subash , Babu P Girish , Daniel Sajan
Published: June 2024

In any human space flight program, safety of the crew is of utmost priority. In case of exigency in atmospheric flight, the crew is safely and quickly rescued from the launch vehicle using Crew Escape System (CES). CES is a critical part of the Human Space Flight which carries the crew module away from the ascending launch vehicle by firing its rocket motors (Pitch Motor (PM), Low altitude Escape Motor (LEM) and High altitude Escape Motor (HEM)). The structural loads experienced by the CES during the mission abort are severe as the propulsive, aerodynamic and inertial forces on the vehicle are significantly high. Since the mission abort can occur at anytime during the ascent phase of the launch vehicle, trajectory profiles are generated for abort at every one second interval of ascent flight period considering several combinations of dispersions on various propulsive parameters of abort motors and aero parameters. Depending on the time of abort, the ignition delay of PM, LEM and HEM are adjusted in order to minimize the lateral acceleration on the vehicle, at the same time meeting the horizontal range requirement. Aerodynamic load distributions on the vehicle and aero forces and moments on the Grid fin are generated for various Mach No., Angle of Attack (AoA) combinations for jet ON and jet OFF conditions of PM, LEM and HEM. In order to estimate the structural loads for CES during abort, inertia relief analyses are carried out for static load on a free-free finite element model at all the time instances in the abort trajectory as a time sweep simulation considering the appropriate aerodynamic forces, propulsive parameters (mass consumption and thrust) and trajectory parameters (Mach No., Dynamic Pressure and AoA) at each time instant in the trajectory. During abort at lower altitude along with LEM, Pitch Motor (PM) is fired perpendicular to the axis of the vehicle to turn the vehicle towards the sea thereby increasing the AoA and bending moment on the vehicle. The Pitch Motor thrust acting perpendicular to the vehicle excites the first bending mode and augments the Bending Moment. LEM thrust and HEM thrust acting along the vehicle axis also can excite the axial modes of the vehicle. Similarly the lateral aero dynamic forces on the vehicle excite the lateral dynamics of the vehicle whenever there is a sudden change in the AoA due to wind gust. To account for the flexible body dynamic forces, a load augmentation factor called Flexibility Factor is multiplied on the static loads to arrive at the limiting loads on the vehicle. This paper briefly explains the structural load estimation methodology for CES abort, various inputs required and different steps involved in it.
Post Flight Simulation of Dynamic Responses at the Satellite Interface of a Typical Launch Vehicle to Solid Motor Ignition Transients
Authors: R Raji , Rose Jancy
Published: June 2024

Launch vehicle structures in course of its flight will be subjected to dynamic forces over a range of frequencies up to 2000 Hz. These loads can be steady, transient or random in nature. The dynamic excitations like aerodynamic gust, motor oscillations and transients, sudden application of control force are capable of exciting the low frequency structural modes and cause significant responses at the interface of launch vehicle and satellite. The satellite interface responses to these low frequency excitations are estimated through Coupled Load Analysis (CLA). This analysis plays a crucial role in mission as the satellite design loads and Sine vibration test levels are defined based on this. The perquisite of CLA is to predict the responses with considerable accuracy so that the design loads are not exceeded in the flight. CLA validation is possible by simulating the flight experienced responses through the analysis. In the present study, the satellite interface responses are validated for a launch vehicle with solid motors. The source of dynamic force in solid motor is mainly the motor ignition transient. Transient response analysis is carried out using the Finite Element models of launch vehicle coupled with the satellite to simulate the responses during solid motor ignition. The required excitation is generated from the motor ignition transients measured in the flight. The criticality in the simulation is to define and model the forcing function appropriately. The responses estimated from the analysis are compared with the responses measured in the flight and observed to be in good match in both temporal and frequency domain. The study confirmed that the forcing functions developed from the flight measured data are adequate. The post flight simulation studies helps to improve the prediction methodology for future missions.
A Non-Intrusive Approach for Measuring Data and Control Coupling b/w Software Components: Addressing the Challenges of DO-178C Compliance, Verification and Certification
Authors: Ramegowda Yogesha Aralakuppe
Published: June 2024

RTCA DO-178C, guideline in the aviation industry for the development of airworthiness of aviation software mandates the analysis of data and control coupling using requirement-based testing for safety-critical avionics software (Refer the Table 1). DO-178C defines Control Coupling as the manner or degree by which one software component influences the execution of another software component. Data Coupling as the dependence of a software component on data not exclusively under the control of that software component.

The intent of the analysis of data coupling and control coupling is to ensure that each module/component are interacting with each other as expected. That is, the intent is to show that the software modules/components affect one another in the ways in which the software designer intended and do not affect one another in ways in which they were not intended, thus resulting in unplanned, anomalous, or erroneous behavior. The measurements and assurance should be conducted using requirements-based testing of the integrated components on the final software build in order to ensure that the interactions and dependencies are correct, the coverage is complete, and the objective is satisfied.

The proposed method involves using software execution and data trace information to derive data and control coupling insights from requirement-based test execution. This technique focuses on analyzing how software components interact during actual program execution. By capturing and examining execution traces and data flows, it can identify the dependencies and interactions between different software modules.
CFD Methodology Development to Predict Lubrication Effectiveness in Electromechanical Actuators
Authors: Bhardwaj Divyanshu , Kumar Anant , George Jubin
Published: June 2024

Electromechanical actuators (EMAs) play a crucial role in aircraft electrification, offering advantages in terms of aircraft-level weight, rigging and reliability compared to hydraulic actuators. For various functions within the actuator such as prevention of backdriving, torque limiting, damping, braking, etc., skewed roller devices are typically employed to provide braking torque. These technology components are continuing to be improved with analysis driven design innovations e.g., U.S. Pat. No. 8,393,568. The device has the rollers skewed around their own transverse axis that allow for a combination of rolling and sliding against the stator surfaces. This friction provides the necessary braking torque. By controlling the friction radius and analyzing the Hertzian contact stresses, the device can be sized for the desired duty cycle. While operating, the rollers require sufficient lubrication to ensure local temperatures do not exceed limits of the components or the lubricant itself. This was analyzed by multiphase computational fluid dynamics (CFD) modeling to predict fluid characteristics around the skewed rollers and conjugate heat transfer modeling to identify component overheating. Elasto-Hydrodynamic lubrication (EHL) theory was used to estimate the lubrication thickness around the rollers. The analysis revealed the formation of vapor due to the high rotational speed of the rollers with respect to the stator discs, resulting in direct metal-to-metal contact. Consequent testing of the device in a Tribological Testing Machine confirmed the findings with wear patterns on the stator consistent with loss of lubrication. In addition, the temperature data aligned within 2°C of predicted CFD results at key locations on the device. Given the high fidelity of the analysis methodology, future steps include assessing new design iterations against intended performance parameters.
Stochastic Finite Element Formulation of a Three-Node Quadratic Bar Element with Non-Uniform Cross-Section Based on the Perturbation Method for Simultaneously Non-Deterministic Elastic Modulus and Applied Load
Authors: Dwivedi Aakash Dhar , Marimuthu R
Published: June 2024

The finite element method (FEM) is one of the most robust tools in structural analysis. Typically, the input parameters in a finite element model are assumed to be deterministic. However, in practice, almost all material and geometrical properties, including the load, possess randomness. The consideration of the probabilistic nature of these quantities is essential to effectively designing a system that is robust against the uncertainties arising due to the variation in the input parameters, the significance of which has been emphasized by space agencies like NASA. Among the various techniques applicable for stochastic analysis, the perturbation method, which is based on a sound mathematical foundation derived from Taylor’s series expansion, is widely acknowledged for its much higher efficiency compared to the well-known Monte-Carlo method. With this motivation, this work presents a stochastic finite element formulation of a bar element, commonly used in aerospace structural simulations. To the best of the authors’ knowledge, this is the first time a formulation will be put forth for the case of a three-node quadratic bar element with a non-uniform cross-section based on the second-order perturbation method for a simultaneously non-deterministic elastic modulus and distributed axial load with the discretization of the stochastic problem based on the averaged mean-square error for the approximation of the random fields. Subsequently, the finite element implementation shall be elucidated, followed by a validation via the Monte Carlo method, which includes a results-based discussion on the validation and investigation of the behaviour of the moments of the computed structural response in a sample problem for varying randomness of the inputs, complementarily endorsing the high efficiency of the method compared to the Monte Carlo method.
Deep Learning-Based Digital Twining Models for Inter System Behavior and Health Assessment of Combat Aircraft Systems
Authors: Agrawal Ankur , Farid Fahad , Prabhu Aniruddh , Sudhakar Veluri , Vyas Nalinaksh
Published: June 2024

Modern combat aircraft demands efficient maintenance strategies to ensure operational readiness while minimizing downtime and costs. Innovative approaches using Digital Twining models are being explored to capture inter system behaviors and assessing health of systems which will help maintenance aspects. This approach employs advanced deep learning protocols to analyze the intricate interactions among various systems using the data collected from various systems.

The research involves extensive data collection from sensors within combat aircraft, followed by data preprocessing and feature selection, using domain knowledge and correlation analysis. Neural networks are designed for individual systems, and hyper parameter tuning is performed to optimize their performance. By combining those outputs during the model integration phase, an overall health assessment of the aircraft can be generated. This assessment enables advanced fault isolation at the system level by identifying subtle deviations in system behaviors, expediting troubleshooting and corrective actions.

This research lays a solid groundwork for advancing condition-based maintenance in combat aircraft using deep learning techniques. It uncovers several promising directions for further enhancement, encompassing the exploration of multi-system interactions, establishment of real-time health monitoring, anomaly detection, root cause analysis and the incorporation of emerging deep learning methodologies for long-term performance evaluations. The present study covers the development of digital twins for identified aircraft systems with these aspects and the results obtained with outcomes are presented in this paper.
Розкриття потужності COBie: революція в управлінні інформацією про будівлі
Authors: Виноградов Віталій Володимирович , Альошечкіна Тетяна Миколаївна
Published: June 2024

Специфікація Construction Operations Building Information Exchange (COBie) є інноваційним методом збору та обміну інформацією під час будівництва, спрямованим на спрощення процесу передачі даних між учасниками будівельного процесу. Вона дозволяє уникнути надмірного обсягу паперової документації, що зазвичай виникає після завершення будівництва, та замінити його цифровим обміном даними. Ця стаття розглядає передумови, процес розробки та впровадження COBie. Вона надає докладний аналіз вимог, які лежать в основі створення пілотного стандарту, і визначає параметри для його початкового впровадження. Впровадження COBie дозволяє підвищити ефективність будівельного процесу шляхом автоматизації збору та обробки даних, що в результаті знижує експлуатаційні витрати. Цей метод також дозволяє уникнути потреби у ретроспективному зборі даних, оскільки вся інформація фіксується в реальному часі під час будівництва. Це сприяє підвищенню точності та актуальності даних, що стосуються об'єктів будівництва, та полегшує їхнє управління та експлуатацію у майбутньому. В цілому, COBIE відкриває нові можливості для оптимізації будівельного процесу та підвищення ефективності управління будівлями.
Integrating images and thermal signals with advanced algorithms
Authors: Lynnyk Maksym , Nakonechnyi Adrian
Published: June 2024

This work considers possible approaches to improving the quality of image signal formation in both light and dark periods of the day, as well as reducing the impact of noise, interference, and artifacts on image signal characteristics. It is proposed to use the wavelet domain for the analysis of thermal and image signals with their subsequent possible complexation. The main features of the formation of such signals are indicated. It is shown that the proposed approach allows to improve the quality characteristics of image signals, especially in the dark period, as well as to ensure their effective processing related to filtering, compression, scaling and contrast change. A comparison of the obtained results of the proposed method with other existing similar signal processing approaches is given.
Огляд сучасного стану методів контролю витоків з трубопроводів
Authors: Безгачнюк Юрій , Штаєр Лідія
Published: June 2024

Актуальною проблемою трубопровідного транспорту є контроль витоків з трубопроводів. Незважаючи на значну кількість робіт в цьому напрямі статистика аварій, які трапляються на газо-, нафто- та продуктопроводах, вражає, а існуючі методи та системи контролю витоків або дороговартісні для впровадження, або володіють не достатньою чутливістю для виявлення можливих витоків, особливо “малих”. Основними критеріями вибору методу і, відповідно, системи, яка його реалізує, є матеріал трубопроводу, доступ до нього, можливість моніторингу стану трубопроводу та точність локалізації витоку. Робота містить аналіз сучасного стану методів контролю витоків та систем, які їх реалізують. Системи контролю витоків, які є популярними на ринку, часто поєднують кілька методів контролю для покращення точності результату контролю, наприклад, система виявлення витоків PipePatrol, яка об’єднує технологію динамічного моделювання в режимі реального часу (балансовий метод контролю витрати) із запатентованим модулем розпізнавання моделей витоків. Проте такий підхід не є універсальним, особливо при зміні режиму транспортування, що супроводжується локальними змінами тиску та витрати. Перспективними методами контролю витоків, що незалежні від середовища транспортування, є акустичні методи контролю, які супроводжуються створенням тестових коливань в середовищі транспортування та реєструванні відбитих коливань від неоднорідностей трубопроводу. Наведено характеристику найпоширеніших методів та систем, вказано на обмеження в їх використанні. Виділено перспективний напрямок подальших досліджень, який полягає в забезпеченні ефективного контролю за станом трубопроводів на основі розширення інформативних складових діагностичних сигналів в тестовому акустичному методі контролю витоків з трубопроводу.
Об’єктивна оцінка якості водних олігохет Tubifex tubifex для ефективного годування риб
Authors: Шугуров Олег Олегович
Published: June 2024

В роботі описано прилад, який може об’єктивно оцінити стан та якість живого корму риб – олігохет Tubifex tubifex, наведено його характеристики та порядок використання. Як з’ясовано у процесі експерименті з групами черв’яків, найліпшим параметром інтенсивності рухів та якості як живого корму можна рахувати енергію по підняттю зовнішнього вантажу, прикладеному до клубка олігохет. Найбільша амплітуда механограми спостерігається без додаткового навантаження на клубок – 5 мм. Енергія, використана на підняття зовнішнього вантажу черв’яками зростає до значень 3 – 5 г на клубок (до 6·10–6 Дж), але в подальшому вона навіть зменшується, а навантаження у 10 та більше грамів взагалі пригнічує активність механічної роботи чер’вяків. Механограма стиснення та підйому клубка може відбивати стан та «здоров’я» кожної одиниці клубка олігохет, та дає можливість оцінити потужність кожної живої одиниці. Виявлено, що невідповідне утримання трубочників приводило до їх ослаблення та зменшення м’язових функцій. Описаний пристрій аналізу стану водних олігохет дає можливість об’єктивно оцінювати функціональний (а відповідно – фізіологічно-якісний) стан олігохет. Наведені дані можуть дати розуміння можливості часу утримання живого корму, наявність зміни кількості мертвих організмів у клубку, прийняття мір для знезараження корму або його вчасної утилізації.
Підготовка майбутніх учителів математики до використання технології сторітелінг в освітньому процесі
Authors: Возносименко Дарія
Published: June 2024

У статті висвітлено проблему підготовки майбутніх учителів математики до використання технології сторітелінг в освітньому процесі. Зазначено, що з реформуванням шкільної освіти, реалізації Концепції Нової української школи, впровадження в освітній процес інноваційних технологій та засобів навчання вимагають оновлених підходів та осучаснення змісту методичної підготовки майбутніх учителів математики у закладах вищої освіти. У результаті аналізу науко-методичної літератури, окреслено, що на сучасному етапі в Україні представлений метод вважається інноваційним в освіті, адже його почали досліджувати нещодавно. Технологія сторітелінгу полягає в способі передачі інформації та знаходженні смислів через розказування історій.
Формування образного мислення в освітньому процесі підготовки музикантів-інструменталістів
Authors: Коваленко Анатолій
Published: June 2024

у публікації досліджено процес формування образного мислення в освітньому процесі підготовки музикантів-інструменталістів. Виявлено, що образне мислення є критично важливим для музикантів-інструменталістів, оскільки воно дозволяє їм краще розуміти і передавати емоційний зміст музичних творів. Це сприяє більш виразному та індивідуальному виконанню. Прослідковано, що використання різноманітних методів, таких як візуалізація, слухові тренування та асоціативне мислення, позитивно впливає на розвиток образного мислення у студентів. Ці методи допомагають студентам краще уявляти музичні образи та сцени, що сприяє їх творчому самовираженню. Осмислено, що врахування індивідуальних особливостей студентів є ключовим фактором у процесі навчання. Персоналізація навчальних програм може забезпечити більш ефективний розвиток образного мислення, враховуючи унікальні потреби та здібності кожного студента. Доведено, що вивчення впливу культурного контексту на формування образного мислення є важливим для створення різнобічних та культурно збагачених освітніх програм. Різні культурні традиції і музичні стилі можуть надати студентам унікальні перспективи та підходи до творчого мислення. Визначено, що робота над художнім образом музичного твору в освітньому процесі підготовки музиканта-інструменталіста передбачає певну етапність. Так, здобувачі повинні рухатись в осягненні художньої образності від простого – до складного, цілеспрямовано й усвідомлено опановувати вміння втілювати художній образ музичного твору засобами музичної виразності. Висвітлено, що в умовах наявної диференціації численних видів соціокультурної діяльності справедливо констатувати синтетичність художнього образу, злиття і узгодженість у ньому полярних начал. Художній образ є центральним системоутворюючим поняттям для різних видів мистецтв, особливим, емоційним, природним й надзвичайно продуктивним способом пізнання реальної дійсності в системі виховання особистості.
Теоретичні основи конкурентної стратегії та конкурентноспроможності підприємства
Authors: Соболєва Ганна Григорівна
Published: June 2024

Конкурентна стратегія є порівняно новим інструментом, процесом при досягненні запланованих цілей та результатів підприємства. Необхідність її використанні спричинена зростанням конкуренції на ринку. До того ж, мінливість зовнішнього середовища є доволі швидкою, що зумовлює посилення реагування та відповідної адаптації для існування та функціонування підприємства на ринку. У свою чергу конкурентна стратегія покликана створити відповідні умови для своєчасного реагування та спрогнозувати можливі ризики, що допоможе більш впевнено вести діяльність на ринку. Зараз вкрай важливо, щоб підприємства розробляли та впроваджували ефективні конкурентні стратегії для досягнення стабільного зростання та успіху. Стратегія включає в себе такі елементи, як розширення асортименту товару, вдосконалення процесів виробництва. Концепція конкурентної стратегії підкреслює важливість створення унікальної та стійкої позиції в галузі, щоб залишатися попереду конкурентів. Конкурентна стратегія, як філософія бізнесу передбачає, що всі аспекти функціонування бізнесу мають бути підпорядковані стратегічним цілям. Більш того, стратегічне управління передбачає використання стратегії, як основного інструменту забезпечення розвитку підприємства. Конкурентоспроможність також передбачає підвищення ефективності фінансово-господарських показників у довгостроковій перспективі. Для отримання позитивних результатів необхідно вибрати ефективні підходи до стратегічного управління та забезпечити управлінський процес у прийнятті управлінських рішень. Конкурентна стратегія базується на глибокому розумінні та аналізі зовнішнього середовища, включаючи конкурентів, клієнтів, постачальників. Структура клнкуренції визначає п’ять ключових факторів, які формують інтенсивність конкуренції та привабливість галузі: загроза нових учасників, переговорна сила покупців, переговорна сила постачальників, загроза товарів або послуг-замінників та інтенсивність конкуренції. суперництво.
Circular economy and AI empowerment in social entrepreneurship: a path to sustainability
Authors: Redko Kateryna
Published: June 2024

In this paper, the author investigates the interconnectedness of the circular economy, artificial intelligence (AI), and social entrepreneurship in the pursuit of sustainable development. The study delves into the potential of these approaches to minimize waste, enhance resource efficiency, and foster socially responsible businesses. Emphasis is placed on the transformative role of AI in optimizing circular economy processes and advancing the growth of social enterprises. The paper underscores both the advantages and challenges associated with integrating these technologies, highlighting their capacity to significantly boost economic and social outcomes. Through a comprehensive analysis, the author illustrates how AI can streamline operations within the circular economy, leading to more effective resource utilization and waste reduction. Additionally, the research explores how social entrepreneurship can drive innovation and societal change by adopting circular economy principles. By combining these elements, the paper presents a compelling argument for the synergistic impact of AI and social entrepreneurship on sustainable development. The findings suggest that leveraging AI in conjunction with circular economy practices can lead to more resilient and adaptable business models, ultimately contributing to the betterment of society. This study provides valuable insights into the potential of merging technological advancements with socially conscious business strategies to achieve long-term sustainability.
Statistical analysis of main determinant’s role in the value formation of residential property assets in Ukraine
Authors: Yakubovsky Valery , Zhuk Kateryna , Ankudovych Maria
Published: June 2024

The objective of this study is to investigate the influence of both qualitative and quantitative factors on real estate valuation within the Ukrainian residential market. Leveraging a comprehensive dataset from the Ukrainian real estate market, encompassing essential property characteristics and historical pricing data, specific indicators were identified to discern primary determinants impacting residential property values. Through the development of multivariate regression models, this research ranks qualitative indicators to facilitate their integration into the analysis. Regression analysis conducted over data spanning from 2021 to 2023 reveals significant factors affecting housing prices across different segments, including apartments, land plots, and households. Notable determinants include area, building type, renovation quality, layout, heating system, and natural gas availability for apartments; area, distance to the nearest city, soil type, location, natural surroundings, and land use for land plots; and property type, location, and area for households. This study contributes to the understanding of real estate valuation dynamics by employing regression analysis to scrutinize the influence of various factors on property prices. Utilizing data sourced from the continually updated information and analytical database of the Ukrainian real estate market, this research offers valuable insights into the drivers shaping property valuation trends in the region. Notably, the inclusion of individual factor sets comprehensively describing housing price formation, along with the utilization of factor analysis approaches across all three segments of the secondary real estate market in Ukraine, underscores the novelty and significance of this study.
Прогнозування обсягу реалізації товарів торгівельного підприємства
Authors: Пістунов Ігор , Приходченко Оксана
Published: June 2024

В роботі проведено кластеризацію з метою прогнозування обсягів продажів продукції підприємства ТОВ «Поліпрінт». Весь асортимент ТОВ «Поліпрінт» поділяється на дві групи: набори наклейок з одним аркушем та набори з двома аркушами. У кожній групі було розраховано матрицю відстаней між об’єктами за методом Евкліда та проведена кластеризація повним перебором. За допомогою кластеризації повним перебором у кожній групі сформувалися кластери, до яких ввійшли схожі за попитом товари. П’ять кластерів включають лише один товар. А інші чотири кластери – від трьох до чотирьох товарів. Також у 9-му кластері ІІ-групи вихідні дані краще описуються лінійним трендом. Просумувавши дані з реалізації товарів у кожному кластері та додавши їх на графік разом з поліномом другого порядку, було отримано кращу апроксимацію вихідних даних до поліному другого порядку. Розроблено дев’ять моделей прогнозування продажів у вигляді поліномів другого порядку для 19 товарів. На основі них був знайдений оптимальний розмір виробництва продукції. Було проведено розрахунок економічного ефекту від впровадження моделей. Він показав, що при їх використанні ТОВ «Поліпрінт» зможе зекономити щомісячно від 7% до 38% на виробництві продукції. Також була розроблена автоматизована інформаційна система на базі MS Excel, що дозволяє моделювати попит на товари компанії, будувати прогноз продажів та розраховувати економічний ефект від впровадження прогнозу. Алгоритм прогнозування обсягу продажів з використанням MS Excel може бути за аналогією використаний не тільки на згаданому підприємстві, але і в інших галузях народного господарства.
ANALISIS MATEMATIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN MS GLOW
Authors: Sayekti Annisa Nur Afifah Kusuma , Sofro A’yunin
Published: June 2024

In this increasingly advanced era, beauty products are increasing. Not only women, men also enjoy the development of this beauty product. One beauty brand that keeps up with current developments is the MS Glow brand. The MS Glow brand not only offers types of skincare that are suitable for men and women. This brand offers skincare that is licensed by BPOM and Halal MUI. Even though this brand is well known to the general public, it is necessary to identify the factors that influence customers' decisions in purchasing MS Glow products. This can help increase the popularity of MS Glow products. The cultural factor used in this research is the attitude of wanting to own what other people have or just following trends in the surrounding area. From this factor it can be concluded that the cultural factor is a "following" trend. Lifestyle factors in this research are defined as observations/interactions of customers who want to buy products. In this modern lifestyle, many customers always want products that are attractive or because of the quality of the product. According to Joesyiana, one of the most effective and efficient ways of marketing goods or services is through the word-of-mouth communication process using online media. With this marketing method, the brand owner gets the advantage that his product is better recognized by the public
PEMODELAN DEA AGGRESSIVE - BOOTSTRAP REGRESSION PADA FAKTOR YANG MEMPENGARUHI EFISIENSI PERBANKAN SYARIAH INDONESIA
Authors: Erdkhadifa Rendra
Published: June 2024

Data Envelopment Analysis is a non-parametric method developed based on linear programs with objective functions and weight functions. DEA is an analytical technique used to measure the efficiency of a process which the decision making units (DMUs) are homogeneous. The application of the DEA method in various fields yields in steps in determining policies in a process. This study aims to measure the efficiency of Indonesian Islamic banking by applying DEA method with aggressive weighting. The efficiency result of the method is then combined with bootstrap regression method to find out the variables that significantly influence the efficiency value. The data in the research process was taken from the monthly financial reports of Indonesian Islamic banking from 2018 to 2022 with a quantitative research approach and associative research type. The input variables used to measure efficiency include total assets, total labor, labor operating costs, total deposits, and fixed assets.While the output variables include total financing funds, net operating margin, and other operating income. Meanwhile, the independent variables to estimate the factors that influence the efficiency value of DEA include capital adequacy ratio, return on assets, company size, and financing to deposit ratio.The result of the analysis shows the goodness of the model which is the coefficient of determination worth 40.95%. Independent variables that significantly affect the efficiency of DEA aggressive are capital adequacy ratio, return on assets, and financing to deposit ratio
ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR SEISMIC ANOMALY DETECTION IN INDONESIA: UNVEILING PATTERNS IN THE PACIFIC RING OF FIRE
Authors: Airlangga Gregorius
Published: June 2024

This study presents an integrated analysis of machine learning algorithms for the detection of seismic anomalies in Indonesia, a region within the volatile Pacific Ring of Fire. Employing Local Outlier Factor, Isolation Forest, and Elliptic Envelope algorithms, we processed a comprehensive dataset of seismic events characterized by latitude, longitude, depth, and magnitude. Our methodology involved standardizing these features and aggregating model predictions to establish a consensus mechanism for outlier detection. The results indicated that the vast majority of seismic events are consistent with the expected geological patterns, with a negligible percentage exhibiting anomalous behavior across the models. Through statistical analysis and visual mapping, we discerned that while anomalies are varied, they may correlate with specific seismic event features such as higher magnitudes or unique geographic locations. The consensus approach revealed a high-confidence subset of outliers, offering a focused direction for further seismological scrutiny. The study's implications extend to enhancing seismic risk assessment and early warning systems, providing a methodological framework for identifying seismic events that deviate from normative patterns. By outlining a scalable approach for anomaly detection, this research contributes to the predictive analytics tools available for disaster risk management and emergency preparedness, aiming to mitigate the impact of seismic hazards in seismically active regions
ANALISIS MATEMATIS PENGARUH LOKASI RUMAH TERHADAP HARGA JUAL, LUAS RUMAH DAN JUMLAH KAMAR DENGAN MANOVA
Authors: Sayekti Annisa Nur Afifah Kusuma , Sofro A’yunin , Ariyanto Danang
Published: June 2024

A house is a building that functions as a residence or residence and a means of family development (Law No. 4 of 1992). Every community needs a house as a necessity. With so many people needing a place to live, house construction often occurs. As time goes by, many houses have been built. From the number of houses, they can be classified into several groups, one of the classifications is based on the location where the house was built. The classification of houses based on the location where the house was built is classified into 3, namely houses in rural areas, urban areas and suburban areas. Based on this classification, data on houses being sold on the kaggle.com website was taken. From this data, the characteristics of the houses in the 3 groups can be described. The characteristics chosen are selling price, house area, and number of bedrooms. Using this data, carry out analysis using the MANOVA method. The aim of this research is to determine the influence between house location and selling price, house area and number of rooms
SUSTAINABLE SUBCONTRACTOR SELECTION IN IRRIGATION PROJECTS: A WEIGHT PRODUCT MULTI-CRITERIA DECISION ANALYSIS
Authors: Sihombing Denny Jean Cross
Published: June 2024

This research aims to reveal the crucial role of subcontractor selection in irrigation projects, which require water resource management to increase agricultural productivity and ensure adequate water availability. The projects are complex, involving designing efficient water distribution systems, constructing structures such as dams, and tight coordination between various stakeholders. The selection of subcontractors significantly impacts the project's success, affecting critical aspects such as time, quality, and cost. This research applies the Weight Product method as a multi-criteria decision-making approach to prioritize these aspects. The advantage of this method lies in its ability to handle multi-criteria decisions systematically. By modeling this method, this research aims to improve the effectiveness and efficiency of subcontractor selection in irrigation projects. The results are expected to provide directional guidance for the dev developing tractor selection applications to improve the quality of project implementation and r quality due to associated risks
PERBANDINGAN AKURASI KLASIFIKASI MENGGUNAKAN ALGORITMA QUEST PADA PADA SKENARIO DATA KODIFIKASI DAN NON-KODIFIKASI
Authors: Prangga Surya , Goejantoro Rito , Hayati Memi Nor , Mahmuda Siti , Mubiin Dwi Husnul
Published: June 2024

Traffic accidents are difficult to predict in terms of when and where will occur. The number of traffic accident cases in Indonesia is relatively high. Regarding on data from the Central Statistics Agency (Badan Pusat Statistik) from 2020 until 2021, the average number of traffic accidents reaches one hundred thousand cases every year. Especially, in the Samarinda City, which is the capital of East Kalimantan Province, it ranked the highest in 2020 compared to several other regencies and cities within East Kalimantan Province. Considering these facts, traffic accident cases need to be addressed to minimize accident-related casualties. One data mining technique used to analyze traffic accident patterns is the decision tree-based classification method. One of the decision tree-based classification methods is QUEST algorithm. The QUEST algorithm (Quick, Unbiased, Efficient, and Statistical Tree) can be used to classify the status of traffic accident victims. Based on data analysis, the best accuracy to classify the status of traffic accident victims was obtained using second scenario data with 80:20 data split, with an accuracy of 66,10% and an F1-Score of 62,96%.
META ANALYSIS: APPLICATION OF THE KNISLEY MATHEMATICS LEARNING MODEL
Authors: Ismayanti Yuli , Syamsuri Syamsuri , Fathurrohman Maman , Mutaqin Anwar
Published: June 2024

This study aimed to conduct a meta-analysis of the application of Knisley's mathematical learning model and its impact on students' mathematics abilities. Research begins with formulating a research problem tracking the research results that are relevant for analysis. The data was collected by browsing the electronic journals through Google Scholar, a Garuda portal with the keywords "Knisley mathematical learning model" and "Mathematical ability". From the search, I obtained 86 articles, but relevant only 12 articles from journals that entered the inclusion criteria to be analyzed with the site meta-mar to obtain a large combination effect size. From the interpretation of the measurement of this combined effect, the overall application of the Knisley Model has a strong influence on the student's mathematical abilities. Characteristics of the study were researched in terms of education and years of research. From statistics, if the application of the Knisley Model to improve the ability of the student's mathematical reasoning is influenced by the level of education and years of research
ANALISIS KEMAMPUAN BERPIKIR REFLEKTIF MATEMATIS SISWA PADA MATERI STATISTIKA DITINJAU DARI SELF-REGULATED LEARNING
Authors: Nugrahani Risda Putri , Nurcahyo Adi , Kholid Muhammad Noor
Published: June 2024

Students need to have the ability to think in order to solve a problem from the problem at hand. This study aims to describe the reflective thinking ability of seventh grade students of SMP Batik Surakarta when they solve problems involving statistics in terms of Self-Regulated Learning. This research used qualitative research method with descriptive research type. The subjects in this study were students of class VII C SMP Batik Surakarta. Data collection begins with filling out a self-regulated learning questionnaire by students and reflective thinking ability test questions then from the results of the categorisation based on the results of the questionnaire conducted interviews. The results of this study are students who have self-regulated learning with high category have high reflective thinking ability can fulfil the indicators of reflective thinking reacting, comparing, and contemplating. Students who have moderate self-regulated learning have moderate reflective thinking ability can fulfil two indicators of reacting, and comparing. Students who have low self-regulated learning category have less reflective thinking ability that only fulfils one reflective thinking indicator which is reacting
ANALISIS FAKTOR YANG MENDORONG TINGKAT PUBLIKASI HASIL PENELITIAN DOSEN
Authors: Fitriatien Sri Rahmawati , Leksono Ibut Priono
Published: June 2024

The productivity of scientific publications from the research results of Universitas PGRI Adi Buana Surabaya lecturers for the last two years has decreased, marked by rankings on both national and regional assessment scales. One of the obstacles that become a downgrade for lecturer performance assessments in the form of lecturer research outputs is that the output-based performance ecosystem in the field of higher education tridharma in research activities has not been achieved. Therefore, this study aims to determine the factors that encourage and the dominant factors on the level of publication of research results by lecturers at Universitas PGRI Adi Buana Surabaya. This type of research is quantitative research using factor analysis involving 105 research subjects using 10 metric attributes. Factor analysis is able to reduce 10 metric attributes into 3 main components which are the driving factors for the level of publication of lecturer research results
KEMAMPUAN LITERASI MATEMATIS SISWA SMP DALAM MENYELESAIKAN SOAL ARITMATIKA SOSIAL DITINJAU DARI GAYA BELAJAR DAVID KOLB
Authors: Amelia Elisa , Pujiastuti Heni , Nindiasari Hepsi
Published: June 2024

Researchers in this article describe the mathematical literacy skills of junior high school students in solving social arithmetic problems in terms of David Kolb's learning style. This research method uses descriptive qualitative with 26 students of SMPN 2 Cileles class VIII B as the research subjects. This study used mathematical literacy test instruments, David Kolb learning style questionnaire, and interview guidelines. The results showed that each learning style had varied mathematical literacy skills.  Upper divergent students were able to fulfill three mathematical process indicators. Middle divergent students are only able to formulate the context mathematically and use mathematical concepts, facts and procedures. Lower divergent students are only able to formulate the context mathematically. Upper assimilation students were able to fulfill three process indicators Moderate assimilation students were able to fulfill three process indicators in part of the problem. Lower assimilation students were only able to formulate the context mathematically. Upper and medium convergent students were able to fulfill the three mathematical process indicators in part of the problem. Lower convergent students are only able to formulate the context mathematically. Upper and medium accommodation students were able to fulfill three mathematical process indicators in part of the problem. Lower accommodation students were only able to fulfill one process indicator, namely formulating the context mathematically
ESTIMASI PARAMETER PADA MODEL SELEKSI SAMPEL HECKMAN DENGAN KOVARIAT ENDOGEN MENGGUNAKAN PENDEKATAN KEMUNGKINAN MAKSIMUM INFORMASI PENUH
Authors: Mahmudah Kunti Robiatul
Published: June 2024

The linear regression model is a statistical tool used to model the causal relationship of a dependent variable based on one or several independent or explanatory variables. In scenarios where the dependent variable is a censored variable and there is potential to exist sample selection, the sample selection model can be an alternative in analyzing this relationship. In the Heckman sample selection model, independent variables have the possibility of having an endogeneity effect, where they should be treated as endogenous variables in both the outcome equation and the selection equation instead of as exogenous variables. In result, by including endogenous covariates in the Heckman sample selection model, the sample selection model equation will have more than one equation and makes it a simultaneous equation. To estimate simultaneous equations, simple estimation methods such as the maximum likelihood estimator method are no longer appropriate. In this study, we will discuss the estimation of sample selection models with endogenous covariates utilizing the full information maximum estimator (FIML) approach. The sample selection model with endogenous covariates was then applied to the women labor supply data of Tomas Mroz's research and compared with several models. Based on the MSE and SSE values obtained from the linear regression model, Tobit regression model, Heckman sample selection model, and sample selection model with endogenous covariates, it was concluded that the Heckman sample selection model is the best model that fit the dataset since it yields the best results with the smallest MSE and SSE values
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN SEVERITY INKLUSI BAHAN BAKU BAJA DENGAN MENGGUNAKAN LOGIKA FUZZY MAMDANI
Authors: Margana Riki Ridwan , Iriani Yani , Imtiyaz Imtiyaz
Published: June 2024

Steel is one of the raw materials used by PT. XYZ in the manufacture of its defense products; therefore, quality control (QC) and checking process become the most essential part in the process. To ensure that the steel raw materials used reach the standards, metallurgical properties are examined using several criteria must be carried out well, as microstructure, grain size, decarburization and impurities (inclusions). Inclusions or impurities are unwanted non-metal compounds and are the main factor for the initial appearance of ductile fracture and brittle facture during the production process. The severity of the inclusions in steel raw materials affects the next process so that errors in readings to determine the severity of minor or major inclusions must be minimized. This is because when the inclusion severity level that read is included in the major level then the steel raw material cannot be used and turns to be scrap and causes losses to the company. To minimize the matters, operator accuracy is required in analyzing by a comparison table, because this method analyzes the inclusion compounds one by one and it takes ± 1 minute to determine the severity. The purpose of this research is to build a quality decision-making system based on fuzzy mamdani logic that is used to determine the severity of inclusions and to compare the results of system processing with operators to see the accuracy of the system and time efficiency that has been built. In this study using the Mamdani fuzzy logic method with the variables used are Alumina inclusion length, Silicate inclusion length, Alumina inclusion width and Silicate inclusion width. The system is built using matlab software. The system test results from the 6 samples used to obtain comparisons according to the operator and the system are stated to be minor, making the accuracy obtained quite good and in terms of time, the determination process with the system takes less time, namely ± 2 seconds
PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA SMA KELAS XI
Authors: Santika Aan , Surani Dewi , Khasanah Uswatun , Fidriyanto Ari
Published: June 2024

This study discusses the low ability to solve mathematical problems in mathematics lessons. The results of the process using the PBL (Problem Based Learning) learning model are the focus of research. This study aims to find out whether the PBL model can have an impact on the mathematical problem solving ability of high school students of class XI Algebraic Function Limit material. Using a quasi-experimental method, this study used a non equivqlen control group design as its research. There were 92 students in the study sample. Pretest and posttest written assessments are used to collect data. This investigation revealed that the results on the findings of the Wilcoxon and Mann-Whitney test results displayed a sig value of 0.001<α 0.05 on the use of SPSS. If, Ha is accepted and Ho is rejected. Thus, the results of the Wilcoxcon test and the Mann Whitney test can be concluded that the PBL teaching approach has an impact on some grade XI high school students in mathematical problem solving ability