bluuebunny/crossref_metadata_2025 huggingface dataset:
Systemic Lupus in males – clinical-laboratory, immunological and histological characteristics.
Authors: Kundurdjiev Atanas , Nikolova Milena Krasimirova , Kostadinova Anna , Genov Diyan , Hristova Maria , Koleva Neli , Gancheva Rada , Kolarov Zlatimir , Kiurkchiev Dobroslav , Todorova Ekaterina , Monov Dimitar , Chupetlovska Kalina , Todorov Todor , Minkova Violina , Ananiev Julian
Published: October 2022

Systemic lupus erythematosus is a chronic, systemic, non-organ-specific autoimmune disease that affects all organs and systems of the human body and is characterized by the production of autoantibodies against nuclear antigens. Its prevalence in Europe reaches 1:2500. It affects mostly women (female : male ratio=9 : 1) in fertile age group (15-45 years). The clinical course of lupus in males is characterized by more aggressive clinical course and the development of serious complications, such as vasculitis, central nervous system involvement, antiphospholipid syndrome, etc. For the period of 7 years (2012-2019) we observed overall 18 male patients with systemic lupus, 11 with biopsy-proven renal involvement and 7 without clinically significant renal disease (proteinuria < 0.5 g/24 h., no erythrocyturia/cylindruria, normal renal function), mean age at the diagnosis 39.6 +/- 12.3 years. All patients received pathogenetic treatment (corticosteroids + cytotoxic agents). Three had secondary antiphospholipid syndrome, 1 – inflammatory bowel disease, 1 – seronegative spondyloarthropathy. Three had type 2 diabetes. The authors discuss the clinical, immunological and histological characteristics and the therapeutic approach in males with systemic lupus.
Multidisciplinary approach in the management of pregnancy and rheumatic diseases – the challenges for obstetricians and gynecologists
Authors: Поповски Никола , Николов Аспарух , Тотев Тихомир
Published: October 2022

Rheumatic diseases (RD) primarily affect young women of reproductive age and therefore pregnancy in these patients requires more attention. Pregnancy in women with RD requires a multidisciplinary, carefully coordinated approach before, during and after pregnancy to ensure the best possible prognosis for the mother and the baby. Treatment of patients with RD during pregnancy and in the post-natal period may be a major challenge for both rheumatologists and obstetrics-gynaecologists. Risk stratification and pregnancy planning are key to ensuring normal pregnancy in women with RD and minimal risk of complications. On the other hand, the risks to the fetus are related to the activity of the mother's disease, presence of specific autoantibodies, and mother's therapy. It is of great importance to stabilize the disease, to replace the medication with pregnancy-compatible drugs, tests of the autoantibody status and organ damage assessment. For these reasons, active monitoring of pregnant women with RD should be carried out by rheumatologist and gynecologist.
Axial spondyloarthritis - from inflammation to ankylosis
Authors: Ivanova Mariana , Angelov A. , Vasilev G. , Goycheva P.
Published: October 2022

Axial spondyloarthritis is a chronic inflammatory immune-mediated rheumatic disease that mainly affects the sacroiliac joints and the spine and encompasses both sub-units - ankylosing spondylitis and its preceding phase non-radiographic axial spondyloarthritis. The disease is characterized by two main immunopathological processes – chronic inflammation and pathological new bone formation, the causal relationship of which is still not fully understood. Starting as enthesopathic inflammation in the early stages, the disease progresses to ossifying enthesitis as a result of an abnormal immune response to skeletal biomechanical stress associated recurrent tissue microdamage, and a subsequent process of excessive repair and tissue remodeling. Immune-mediated inflammation manifests with a distinct skewing of differentiation towards a Th1/Th17 phenotype and an unbalanced profile of cytokine production, with cytokine dysregulation and predominance of the effects of pro-inflammatory cytokines. Molecular signaling pathways of syndesmophyte formation include bone morphogenetic protein (BMP), wingless-type like (WNT), Dickkopf-1 (Dkk-1), sclerostin, cytokines, and others. The review summarizes the current concepts regarding the pathophysiology of both pathognomonic processes for the disease – inflammation and pronounced osteoproliferation.
Clinical case of a patient with progressive supranuclear palsy – from symptom to diagnosis
Authors: Dimova Zhaklin Rumenova , Emin Soner , Boyadzhieva Vladimira , Stoilov Nikolay
Published: October 2022

Progressive supranuclear palsy (PSP) is a neurodegenerative disease classified among the atypical forms of parkinsonism. PSP is characterized by great variability in the involvement of different areas of the central nervous system (CNS). The clinical picture is associated with impaired gait and balance, generalized bradykinesia, visual impairment, dysarthria, dysphagia, pelvic incontinence, dementia and others. We present a clinical case of a 50-year-old woman who, at the end of 2021, was admitted to the Rheumatology department, UMBAL "St. Ivan Rilski" - Sofia, due to weakness in the hands, dropping objects, pain in small joints of the hands, disorder in coordination, difficulty walking and frequent stumbling, slurred speech, tremors involving both hands (more pronounced on the right), memory impairment, pelvic incontinence and hair loss. The clinical case is very indicative of the long journey that a patient with progressive supranuclear palsy takes before being correctly diagnosed.
Information content of geoinformation computational visualization of natural object formation processes
Authors: Varshanina Tatiana , Khunagov Rashid , Korobkov Viktor
Published: October 2022

The paper discusses informative possibilities and prospects of application of digital nature-like methodology for computational visualization of natural processes of natural system formation based on the proposed order parameter—intensity of integral geophysical field created by host structure-forming outer space. Since the designated order parameter defines the structure and properties of natural systems and processes, the gradient of the parameter defining the structure of the natural object is a measure of its order parameter and, therefore, can serve as a predictor of forecasting the change in its properties and structure. The declared approach is tested using an example of forecasting the process of flood formation and processes of visualization of tectonic stress fields. The authors have developed a method of point prediction of the onset time and flood level based on a three-level neural network model and a method of vector space-time visualization of a hierarchy of tectonic stress fields on the territory of an unlimited area. The research shows that computational operations with the parameter of the regional temperature gradient along with intelligent forecasting methods illustrate the prospects of point medium-, long-term forecasting of hydrometeorological processes provided with long rows of instrumental observation data.

Computational visualization of general, background and local fields of tectonic stresses in the territories of unlimited area serves as a source of parametric data for geoinformation-mathematical modeling of tectonic stress field restructuring in processes of tectonosphere self-organization, calculation of position of geodynamic instability loci—epicenters of possible earthquakes, visualization of tectonic currents in the Earth’s crust. Monitoring geophysical data at geodynamic instability loci opens up prospects for point prediction of earthquakes. Calculation of order parameters of natural objects and processes opens up prospects of their computational modeling, derivation of numerical laws of their conjugate development and a scale series of interaction, as well as prediction of the state of geo objects and geo processes at a given geo space point in conditions of increasing global natural variability.
Improving global Geoid by GPS and leveling data over the Fergana valley territory
Authors: Fazilova Dilbarkhon , Kazakov Aziz , Alimukhamedov Ilkhom
Published: October 2022

The Republic of Uzbekistan currently uses the Baltic normal system of heights associated with the quasi-geoid surface. The introduction of innovative technologies of global navigation satellite systems (GNSS) made it possible to determine with high accuracy the geometric heights related to the Earth model — an ellipsoid. For a complex representation of spatial data and analysis of information about the territory, natural resources, man-made objects, their dynamics in the National Geographic Information System (NGIS), first of all, it is necessary to solve the problem of refining the reference vertical coordinate system and ensuring its connection with the global ones, namely, to ensure adjustment of these two height systems. The task is complicated by the fact that for the territory of the country there is no information about the quasi-geoid determined by modern methods, which are necessary for the transition from geometric ellipsoidal heights obtained using GPS measurements to normal heights which are used for solving a wide range of practical problems in various fields of environmental sciences. In recent years, global geopotential models of the Earth (GGM) calculated using various satellite missions has become an alternative solution to the problem. The study considers two high order GGMs (EGM2008 and GECO) to create a system of normal heights for the territory of the Fergana Valley. The height anomaly values for them reach the maximum for the region — about −49 m. The method of constructing parametric models (or corrective surfaces) using leveling and GPS measurements at “common points” was used to refine them. The range of corrections made was from −0.28 m to 0.29 m. Moreover, the GECO model was significantly improved compared to EGM2008 in the flatland part of the study area, which has large geoid anomalies. The Krasovsky ellipsoid and the corresponding Baltic height system were chosen as a reference surface to create in the future a grid for converting heights between local and geocentric coordinate systems. The results of a comprehensive statistical analysis made it possible to reveal that GECO gives a more accurate representation of the region’s relief and is recommended for solving practical problems in the Fergana Valley.
Analysis and evaluation of the resource potential of a territory using the method of geocognitive modeling
Authors: Karpik Alexander , Lisitsky Dmitry , Osipov Aleksey , Savinykh Vyacheslav
Published: October 2022

The relevance of the study consists in the new subject matter and details of geospatial support for the procedure of strategic planning in the development of regions under conditions of digital transformation. The objective of the study is to present the ideas, new views, and innovative approaches to the use of geospatial data, information, and knowledge in evaluating territorial resources and in substantiating the possibility of applying the method of geocognitive modeling to analysis of the resource potential of territories with a view to strategic planning of their social and economic development. The issues of using geospatial knowledge about a territory, of revealing and presenting territorial characteristics influencing a territory’s evaluation, balanced and efficient use of the natural resources, material, technological, human and other potentials were investigated. Findings of the study: analysis of one of the main trends in territorial development over the recent years (intensive use of geoinformation, geoinformation systems, geospatial knowledge, and geospatial analytical data in planning and management of countries and regions) was made. Formal interpretation of the evaluation and use of territorial resources as objects of a single economic system is proposed. Based on formal logical analysis, a theoretical multiple presentation of the process of analyzing the value of a territory from the viewpoint of its industrial use and spatial opportunities is made. The concept of a geo-fragment is used as an elementary unit of geospace in which industrial and/or natural processes take place and interaction of the objects of different industrial fields occurs. Theoretical and practical meaning: a new geocognitive method of evaluating various properties of a territory is proposed, including the degree of development, knowledge, and being fit for comfortable living of people and other territorial aspects. The technological interpretation of the proposed method for assessing the economic value of regional resources is provided. Conclusion: geospatial activity in the territorial context is becoming an important factor in planning territorial development when optimizing the distribution (redistribution) of territorial resources by way of complex interaction of industries and clusters. The study opens up opportunities for further development of the methods, approaches and technologies of formation and use of geospatial knowledge and geocognitive technologies.
About the experience of developing a GIS project of the university campus
Authors: Mazhitova Gulnur , Shugulova Dina , Sedelnikov Igor
Published: October 2022

The article discusses the results of the work on the design and creation of a GIS project of the university campus. A model and methodology for creating a geographical information system (GIS) of the university campus was developed and tested in the Non-profit limited company “Manash Kozybayev North Kazakhstan university” setting. The GIS was created on the basis of open spatial data of the Remote Sensing of the Earth, materials of ground photography and aerial photography from an unmanned aerial vehicle (UAV). Geoinformation mapping and modeling was carried out using specialized programs: ArcGIS 10.4 (ESRI Inc.), Agisoft PhotoScan Professional Edition. The article presents the GIS structure of the campus, its main elements, and describes the stages of development. The work on the creation of GIS included the following stages: the development of its preliminary model and structure, the collection of the necessary initial information and data about the studied territory, the conduct of ground surveys and aerial photography, field work, processing of collected materials in special software applications, the creation of an electronic map and database, filling and correcting the latter. The campus GIS includes a digital cartographic framework and an associated database. Its structure contains a number of modules that combine thematic layers. Along with this, geo-referenced photorealistic three-dimensional models of university buildings were created during the research. A 3D model of the campus was built on the basis of aerial photography materials from the UAV. Developed GIS, its functionality can be useful to the university and find application in solving practical problems.

The research was carried out within the framework of grant funding under the Sustainability Living Lab program.
Analysis of the Inerka polygon metageosystems by means of Ensembles of machine learning models
Authors: Yamashkin Anatoliy , Yamashkin Stanislav
Published: October 2022

The article describes a geoinformation algorithm for interpreting Earth remote sensing data based on the Ensemble Learning methodology. The proposed solution can be used to assess the stability of geosystems and predict natural (including exogeodynamic) processes. The difference of the created approach is determined by a fundamentally new organization scheme of the metaclassifier as a decision-making unit, as well as the use of a geosystem approach to preparing data for automated analysis using deep neural network models. The article shows that the use of ensembles, built according to the proposed method, makes it possible to carry out an operational automated analysis of spatial data for solving the problem of thematic mapping of metageosystems and natural processes. At the same time, combining models into an ensemble based on the proposed architecture of the metaclassifier makes it possible to increase the stability of the analyzing system: the accuracy of decisions made by the ensemble tends to tend to the accuracy of the most efficient monoclassifier of the system. The integration of individual classifiers into ensembles makes it possible to approach the solution of the scientific problem of finding classifier hyperparameters through the combined use of models of the same type with different configurations. The formation of a metaclassifier according to the proposed algorithm is an opportunity to add an element of predictability and control to the use of neural network models, which are traditionally a “black box”. Mapping of the geosystems of the Inerka test site shows their weak resistance to recreational development. The main limiting factors are the composition of Quaternary deposits, the nature of the relief, the mechanical composition of soils, soil moisture, the thickness of the humus horizon of the soil, the genesis and composition of vegetation.
Modeling network of research sites for monitoring carbon flows by Random Forest method
Authors: Dobryakova Valentina , Moskvina Natalya , Dobryakov Andrey , Zhegalina Lilia
Published: October 2022

Environmental observing networks provide information for understanding and predicting the spatial and temporal dynamics of Earth biophysical processes. The optimization of resources for large-scale environmental monitoring activities is required. The paper describes and then tests spatial structure of Tyumen region research sites network. The network is based on principles of landscape approach, taking into account cost minimization. At the baseline of research, two testing sets of 40 and 105 points were determined. Proposed locations were evaluated using Random Forest (RF) method. The study accomplished in two stages for each test set. At the first stage, the model was trained; its capacity and indicators of additional diagnostics were studied. At the second stage, the trained model was used to predict the points formed of regular grid covering entire territory of this region (544 points). In conclusion, the obtained results were compared with similar point sets of the same volume but generated randomly. Primary Productivity Gross (GPP) was chosen as predictable variable because it is one of the major complex environmental indicators associated with carbon production in this area. The ability of an area to absorb or produce carbon is one of the main parameters that determine climate processes. As independent variables characterizing geosystemic processes, a set of indicators associated with climate, terrain parameters, and variability of soil resources has been selected. The problem was solved using Forest-Based Classification and Regression tool from Spatial Statistics—Modeling Spatial Relationships toolkit of ArcGIS Pro software package. As the result of the study, a high forecast accuracy and reliability for both approaches to research sites locations was obtained. The study was based on open source data.
Automation of data preparation for mapping using natural language processing systems
Authors: Kolesnikov Alexey , Plitchenko Egor , Kropacheva Maria
Published: October 2022

The current level of development of information technology makes it possible to automate the processing of those types of data that only a specialist could previously work with. One such example is natural language processing technologies that implement the functions of sentiment analysis, machine translation, and question-answer systems. For the processes of creating cartographic and geoinformation works, the methods of extracting named entities are of the greatest interest, which allows extracting geographical names from unstructured text and linking named entities, which make it possible to create logical links between the extracted names of spatial objects. Their processing, through a local or network database of the service for geocoding, will automate the creation of map layers in a geographic information system based on text messages. The article describes the most popular approaches and their software implementations for solving the problem of extracting named entities in the example of texts of biographies and works of Siberian writers. Rule-based methodologies, maximum entropy models, and convolutional neural networks are analyzed. To assess the quality of the results of extracting geographical names and objects from the text, in addition to the standard F1-score, the authors propose an additional variant of the evaluation method that takes into account a larger number of criteria and is also based on an error matrix. The description of text block markup formats is given to improve the quality of recognition and expand the possible options for geographical names of named entities based on additional training of the neural network model.
Application of GIS technologies and plastic flow map for studying landslides of the Chirchik basin
Authors: Sabitova Naila , Stelmakh Anna , Tajibaeva Nadira , Minchenko Vyacheslav
Published: October 2022

In recent years, the number of natural disasters has significantly increased, including those caused by exogenous geological processes, one of the leading among which are landslides, leading to environmental, engineering, social and economic consequences. The investigated Chirchik basin of the Republic of Uzbekistan is characterized by complex geomorphological, hydrological and geological conditions, as well as the presence of an active geodynamic process, which predetermined the development of landslides here. Currently, various methods are used for the integrated study of landslides of various genesis. Along with traditional methods, various tools of geographic information systems (GIS) are widely used. The use of GIS-processing of digital elevation models makes it possible to fully describe the development of landslide processes: quickly obtain information about morphometric indicators (height, inclination angle, slope exposure) in any model, analyze slope steepness and exposure, frequency runoff, generate contour lines, etc., as well as to map them. Another method of research is the method of relief plastics, the essence of which is the geometric transformation of the contours of topographic maps, it consists in the use of a new topographic map—relief plastics based on litodynamic flows. The proposed methodology for the integrated application of GIS technologies and plastic flow maps was developed taking into account the work performed by foreign and domestic specialists. This methodology applied to landslide processes study in the Baibaksay-Sulisay section of the Chirchik basin. As a result, digital elevation models were compiled based on SRTM and QiuckBird remote sensing materials, based on the digital elevation model, using the theory, a map of convex and concave surfaces was created.
GIS methods to research spatial inequality of population income distribution in Argentina
Authors: Gladkiy Anton
Published: October 2022

Argentina is a country with a very specific system of territorial division carried out for the optimization of public administration and collection of statistics. Historically developed spatial heterogeneity of socio-economic development has several specific features, as well as non-trivial factors, due to which the country is formed by a peculiar pattern of territorial inequalities. In addition to administrative divisions into provinces and departments, Argentina has a number of statistical division grids for the lower scale levels. However, the organization of the collection of statistical data for different levels of territorial division is not optimal: for a number of regions, statistical data in the public domain are practically absent, or presented in aggregated form. The aim of the research is to identify territorial differences in socio-economic development between regions and at various scale levels. The use of GIS methods made it possible to obtain the missing data for the lower level of territorial division, such as the spatial data on the administrative boundaries, population and income. The analysis of spatial autocorrelation of income distribution in Argentina can identify regions of growth as well as the influence of local factors on the territorial inequality in Argentina. The value of the coefficient of spatial autocorrelation of population income is one of the highest around the world.
Effect of eichhornia crassipes compost on the quality of Theobroma cacao nursery plants
Authors:   Universidad Internacional Iberoamericana, Orellana Tobar Samuel Alfredo , Anaya Hernández Armando ,   Universidad Internacional Iberoamericana
Published: October 2022

The study consisted of determining the effect of E. crassipescompost on the quality of T. cacaonursery plants, knowing the appropriate compost percentages for its addition as sustrateand determining levels of lead (Pb), arsenic(As) and mercury (Hg) in E. crassipesplants, compost and T. cacaoplants. A completely randomized design was used, with 5 treatments, 5 repetitions with 48 plants each, in an experimentation period of 4.5 months.Compost of E. crassipeswas used in percentages of 10%, 20% and 40% mixed with soil in 90%, 80% and 60%. The treatments were identified as: T1(T10: 90), T2(T20: 80), T3(T40: 60), a relative treatment T4(TR, 100% soil and chemical fertilization) and a control treatment T5(TT, 100 % land). Theresults of the ANOVA show that there is a statistically significant difference of the treatments in the quality of T. cacaoplants for the diameter, Dickson's Quality Index (ICD) and total dry weight. The T1, T2, T3and T4were statistically superior to the control treatment T5 (TT). Plant height, slenderness index, and aerial dry weight-root dry weight ratio did not present statistically significant differences. The translocation of Pb to T. cacaoplants was non-existent. The plants of T3(T40: 60), showed chlorotic yellowing and symptoms of diseases in the 45 to 90 days of germination. It is recommended to use percentages of compost of E. crassipesnot greater than 20%, for T. cacaoplants in the nursery.
FeLebrities: a user-centric assessment of Federated Learning frameworks
Authors: Riviera Walter , Menegaz Gloria , Boscolo Galazzo Ilaria
Published: November 2022

Federated Learning (FL) is a new paradigm that aims at solving the data access problem. It is gaining an increasing interest in a variety of research fields, including the Biomedical and Financial environments, where lots of valuable data sources are available but not often directly accessible due to the regulations that protect sensitive information. FL provides a wayout enabling the processing and sharing of data modeling solutions moving the focus from data to models. The FL paradigm involves different entities (institutions) holding proprietary datasets, contributing with each other to locally train a copy of a shared Artificial Intelligence (AI) model. Although there are different studies in the literature that suggest how to conceptually implement and orchestrate a federation, fewer efforts have been made on practical implications. With the ambition of helping accelerating the exploitation of FL frameworks, this paper proposes a survey of public tools that are currently available, an objective ranking based on current state of user preferences and the assessment of the growth trend of the tool popularity over a six months time window. Finally, a ranking of the tools maturity is derived based on key aspects to consider when building a FL pipeline.
Dialogando con la sociedad sobre educación y su complejidad: aprender a vivir en la complejidad es educarse para saber vivir
Authors:   Universidad de San Carlos de Guatemala, Rosa Pérez Jeovani Joel
Published: October 2022

PROPÓSITO: lo principal en esta investigación es el fenómeno educativo y su complejidad desde el aprendizaje como seres vivos, como proceso natural desde la concepción hasta el deceso (o transformación). Se refiere a las diversas e infinitas formas en un mundo entrelazado y relacional como un todo, con la intención de saber vivir y vivir bien, esta es nuestra teoría. Saber vivir y vivir bien es aprender a vivir un estilo de vida en la complejidad. MÉTODO: las ciencias de la complejidad se abordaron en un diálogo hermenéutico de discusión en cuanto al cambio y movimiento continuo del conocer, como proceso de incompletud y trascendencia, que se manifiesta en el tiempo y en el espacio conforme a sus diversas realidades y dimensiones no lineales desde la naturaleza relacional del sistema complejo denominado vida. RESULTADO: se propone una nueva teoría educativa que permite una existencia para el buen vivir, con principios y valores universales de respeto, concordia y buenas relaciones, donde las sociedades aprendan para la vida y se identifiquen como ciudadanos del mundo, en libertad, amor y unión mutua. REFLEXIÓN: considerar la vida como la principal meta en todo aprendizaje del fenómeno educativo y su complejidad.
Analisis Komponen Desain Layout, Warna, dan Kontrol User Interface terhadap User Experience pada Aplikasi PeduliLindungi
Authors: Victoria Ovila , Kaunang Fergie Joanda , Wagiu Elmor Benedict
Published: October 2022

Meningkatnya penggunaan smartphone di zaman sekarang salah satunya disebabkan karena aplikasi mobile yang semakin beragam. Dengan semakin banyaknya aplikasi mobile yang beredar, semakin banyak juga pembuat aplikasi yang berlomba lomba untuk membuat aplikasi yang memuaskan pengguna baik dari segi sistem maupun tampilannya. User interface adalah salah satu faktor yang berpengaruh bagi user experience. User interface tidak hanya sekedar mementingkan estetika tetapi juga harus menciptakan user experience yang baik. Tidak hanya tampilan keseluruhan, bahkan detail kecil seperti tombol atau ikon dapat mempengaruhi pengalaman pengguna dalam menggunakan aplikasi mobile. Jika pengguna senang dengan tampilan user interface aplikasi mobile, pengguna pastinya akan semakin sering menggunakan aplikasi mobile tersebut. Pada penelitian ini dilakukan analisa komponen desain user interface pada aplikasi PeduliLindungi terhadap user experience pengguna. Analisa dilakukan dengan menyebarkan kuesioner yang mengacu kepada 10 variabel metode Heuristic Evaluation kepada responden, dimana responden memberikan penilaian terhadap aspek – aspek yang ada di dalam aplikasi untuk menentukan severity rate. Severity rate adalah penilaian tingkat kerusakan atau kekurangan pada aplikasi. Dari hasil perhitungan didapatkan hasil bahwa rata – rata severity rate adalah 1.298 yang artinya berada dalam skala cosmetic problem atau hanya masalah desain sederhana yang tidak menjadi prioritas utama untuk melakukan perbaikan aplikasi.
Pemanfaatan Data Mining Dalam Penentuan Penyuluhan Penyakit Stunting Menggunakan Partitioning Around Medoids (PAM)
Authors: Meiriza Allsela , Lestari Endang , Putra Pacu , Oktadini Nabila Rizky , Audya Meitiana
Published: October 2022

Stunting merupakan keadaaan kurang gizi yang bersifat berbahaya pada masa pertumbuhan dari awal kehidupan manusia. Untuk itu sangat diperlukan pencegahan dini, saat ini Pemerintah khususnya di bidang kesehatan seperti Dinas Kesehatan telah membantu  dalam melakukan sosialisasi atau penyuluhan stunting. Namun permasalahan penentuan penyuluan tersebut  terdapat kesulitan dalam penentuannya, khususnya pada Seksi Kesehatan Keluarga Dan Gizi Masyarakat Dinas Kesehatan Kota Palembang, dikarenakan banyaknya Puskesmas di setiap Kecamatan di Kota Palembang, maka untuk membantu hal tersebut tujuan penelitian ini adalah menerapkan metode Partitioning Around Medoids dalam membantu penentuan penyuluhan penyakit stunting dengan tepat. Metode yang digunakan yaitu PAM. Hasil penelitian ini yaitu berupa cluster yang terbagi menjadi dua yaitu kelompok 1 dan 2. Cluster 0 diperoleh 9 Puskesmas, sedangkan cluster 1 berjumlah 23  Puskesmas, yang menjadi prioritas dalam penentuan penyuluhan ada pada cluster 0. Selanjutnya diperoleh angka 0.272 artinya evaluasi cluster cukup baik dikarenakan nilai sudah mendekati 0 dari pengujian menggunakan Davies Bouldin Index.
Pemanfaatan Teknologi Augmented Reality Dalam Pembelajaran Huruf Hijaiyah dan Makhorijul Huruf
Authors: Lidianti Deni , Putra Pacu , Oktadini Nabila Rizky , Meiriza Allsela , Sevtiyuni Putri Eka
Published: October 2022

Al-Qur’an merupakan pedoman utama didalam agama Islam. Al-Quran terdiri dari 30 Juz, 114 Surah, dan 6236 Ayat. Dalam membaca Al-Quran terdapat faktor-faktor yang mempengaruhi tingkat kemampuan untuk membacanya. Faktor-faktor tersebut antara lain, kemampuan Bahasa, sikap dan minat, kebiasaan membaca, keadaan membaca, pengetahuan tentang cara membaca, labilnya emosi dan sikap, pengalaman yang dimiliki, dan kemampuan membaca Al-Quran. Dalam meningkatkan kemampuan membaca Al-Quran, terdapat 3 hal yang diajarkan kepada siswa. Diantaranya, identifikasi huruf, makharijul Huruf, dan Tajwid. Sebelum membaca Al-Qur’an Siswa sebaiknya mampu membedakan bunyi huruf hijaiyah atau yang dikenal dengan makhorijul huruf. Namun, dimasa pandemi ini membuat pengajar membaca Al-Quran harus berpikir keras kaitan dengan media pembelajaran Al-Quran itu sendiri. Terdapat banyak media pembelajaran yang telah dilakukan oleh peneliti-peneliti sebelumnya. Ada yang memberikan hasil yang positif dan ada juga masih memiliki masalah kaitan penggunaan media pembelajaran tersebut. Augmented Reality merupakan sebuah teknologi terbaru dan sedang tren saat ini. Teknologi Augmented Reality menawarkan cara baru dalam menampilkan objek digital secara efektif, inovatif, dan menarik. Mengingat pentingnya mempelajari makhorijul huruf hijaiyah serta media pembelajaran sebagai perantara mempelajarinya di masa pandemi ini. Penelitian ini telah menghasilkan sebuah media pembelajaran Huruf Hijaiyah dan Makharijul Huruf berbasis Augmented Reality dengan beberapa fitur yang dapat mempermudah pengguna dalam mempelajari Huruf Hijaiyah dan Makharijul Huruf. Untuk membuktikan hal tersebut, pengujian dilakukan dengan metode System Usability Scale (SUS) dan memperoleh nilai rata-rata responden 80,1. Berdasarkan nilai tersebut aplikasi yang dibangun sudah (adjective) dan dapat diterima (acceptable) serta bersifat promoter dalam segi NPS.
Analisis Service Quality pada Aplikasi DANA berdasarkan Sudut Pandang Pelanggan di Daerah Bandung Menggunakan Metode Servqual dan Model Kano
Authors: Silalahi Bob Simon , Kaunang Fergie Joanda
Published: October 2022

Pada era kemajuan teknologi saat ini, semua kegiatan sehari-hari mengalami perubahan, yang pada awalnya bersifat manual menjadi bersifat digital. Saat ini, aktivitas didominasi menggunakan aplikasi mobile seperti contohnya, pada sistem transaksi pembayaran yang dilakukan secara digital. DANA adalah salah satu e-wallet yang sangat banyak dipakai oleh orang-orang sekarang ini. Tujuan dari penelitian ini adalah untuk mengetahui tingkat kepuasan pelanggan terhadap kualitas pelayanan yang diberikan oleh aplikasi DANA dan atribut yang memiliki pengaruh terhadap konsumen serta menyelidiki ada atau tidak adanya atribut yang dapat mengubah tingkat kepuasan pelanggan. Metode yang dipakai adalah Metode Servqual dan Model Kano. Metode Servqual mengukur kualitas layanan dengan mengukur harapan pelanggan tentang kualitas layanan dan persepsi mereka tentang layanan yang mereka terima, lalu Model Kano menyelidiki ada atau tidak adanya atribut dapat mengubah tingkat kepuasan pelanggan. Semakin meningkatnya kualitas pelayanan DANA, maka semakin tinggi keuntungan dan perusahaan bertahan lebih lama. Penelitian ini dilakukan didaerah Bandung Barat dengan objek masyarakat usia 18-25 tahun. Berdasarkan hasil analisis menggunakan metode servqual bahwa setiap indikator Servqual mempunyai GAP negatif yang artinya perlu untuk ditingkatkan pelayanannya oleh pihak Dana. Dimensi responsivenes (daya tanggap) memiliki nilai rata-rata Gap tertinggi yaitu -0,89. Sementara hasil pengelolaan menggunakan model kano ada 10 atribut yang mempengaruhi tingkat kepuasan pelanggan. Atribut X6 dan X7 merupakan Basic Needs (harus ada), X8 dan X9 mempengaruhi kepuasan pelanggan berdasarkan keinginan mereka (O) lalu keberadaan atribut X2, X3, X4, X5, X10 dan X11 akan meningkatkan kepuasan pelanggan, tetapi jika tidak ada pun tidak akan menurunkan kepuasan mereka (A). Pihak Dana sebaiknya meningkatkan pelayanannya dalam kategori Attractive ini karena dapat meningkatkan kepuasan pelanggan yang signifikan. Berdasarkan analisis Metode Servqual dan Model Kano, pihak Dana perlu untuk meningkatkan indikator-indikator demi kepuasan pelanggan.
Pengaruh DAR, ROA, NPM terhadap PBV pada Perusahaan Sektor Konstruksi dan Properti yang terdaftar di Bursa Efek Indonesia Tahun 2016-2020
Authors: Dwiputra Kevin Rizky , Cusyana Silvi Reni
Published: November 2022

Abstrak– Penelitian ini bertujuan untuk menganalisis pengaruh DAR, ROA dan NPM sebagai variabel independent terhadap PBV sebagai variabel dependen secara signifikan dan parsial serta simultan. Investasi saham pada perusahaan konstruksi dan properti sangat menarik untuk di analisa karena pergerakannya yang berubah-ubah dan memiliki tingkat persaingan yang ketat. Metode penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan menggunakan metode deskriptif kausal, yang menggunakan pengumpulan data sekunder dan didapatkan dari website resmi www.idx.co.id. Teknik pengambilan sample menggunakan purposive sampling, sedangkan teknik analisa data menggunakan Analisa Regresi Linear Berganda. Dari analisis dengan uji t (t-tabel) DAR secara parsial berpengaruh positif signifikan terhadap PBV dengan memiliki nilai t hitung lebih besar dari t tabel yaitu 3,290 > 1,998, ROA secara parsial berpengaruh positif signifikan terhadap PBV dengan memiliki nilai t hitung lebih besar dari t tabel yaitu 4,401 < 1,998 dan NPM secara parsial tidak berpengaruh signifikan terhadap PBV dengan menunjukkan t hitung lebih kecil dari t tabel yaitu -1,812 < 1,998. Secara simultan menunjukkan pengaruh positif signifikan dengan F hitung > F tabel yaitu 12,932 > 2,75. Terdapat pengaruh yang kuat antara rasio keuangan DAR, ROA dan NPM terhadap PBV secara simultan.
COGNITIVE BEHAVIOR THERAPY AS AN EFFORT TO IMPROVE ELDERLY INDEPENCE IN THE COVID-19 PANDEMIC
Authors: Kartini Yanis , Damawiyah Siti , Suwito Bambang Edi , Faizah Imamatul
Published: October 2022

The ongoing Covid 19 pandemic in Indonesia has an impact on psychosocial conditions for everyone. The elderly is a vulnerable group for COVID-19, the elderly experiences a decrease in the ability of body functions both physically and psychologically of a physiological nature. Decreased body function in the elderly is caused by changes in muscle morphology and degenerative diseases, these can cause health problems in the elderly. The implementation of this community service activity aims to teach Cadres and the elderly about Cognitive Behavior Therapy as an effort to increase the independence of the elderly during the COVID-19 pandemic. The method used in this community service activity is to provide training and education health services. This activity was carried out during April-May 2022 which was attended by 12 health cadres and 22 residents in RW 06 Wonokromo Village, Surabaya. The results show that the activity has achieved success according to the success indicators that have been set, namely as many as 12 health cadres were successfully recruited; average attendance is 100%, participants participate in activities enthusiastically, knowledge of cadres after training and residents after counseling increases significantly.
SENSORY STIMULATION THERAPY BY LISTENING TO MUSIC IN THE ELDERLY
Authors: Murtiyani Ninik , Putra Kusuma Wijaya Ridi , Riesmiyatiningdyah Riesmiyatiningdyah
Published: October 2022

Group Activity Therapy given to the elderly using the Sound Sensory Stimulation method by listening to music for the elderly at UPT PMKS Mojopahit Mojokerto is a form of community service in the form of Activity Therapy activities that are expected to reduce social interaction problems that occur in the elderly. This activity was carried out on April 16, 2022 at UPT PMKS Mojopahit Mojokerto. The target of this activity is all the elderly who are in UPT PMKS Mojopahit Mojokerto. Before the activity was carried out, the implementers of this community service activity made preparations approximately 3 weeks before the implementation of the activity in order to prepare the implementation method, determine the type of therapy to be carried out up to the application of licensing for the implementation of the activity to the parties concerned. As a form of evaluation, the activity was attended by 25 elderly people, the participants participated in the activity very enthusiastically, the Group Activity Therapy activity went well, on time, and smoothly.
GROUP ACTIVITY THERAPY TO IMPROVE COGNITIVE FUNCTION OF THE ELDERLY BY GUESSING THE PICTURE
Authors: Riesmiyatiningdyah Riesmiyatiningdyah , Murtiyani Ninik , Putra Kusuma Wijaya Ridi
Published: October 2022

The activity of providing Group Activity Therapy given to the elderly about Cognitive Therapy by guessing pictures for the elderly at UPT PMKS Mojopahit Mojokerto is one form of community service in the form of Activity Therapy activities which are expected to reduce problems that occur in the elderly, especially cognitive problems that are often experienced by Elderly. The implementation of the activity on April 22, 2022 took place at UPT PMKS Mojopahit Mojokerto. With the target is the elderly residents of UPT PMKS Mojopahit Mojokerto. Before the activity is carried out, there is a process of preparing activities for approximately 3 weeks before the activity is carried out, starting from determining the type of Activity Therapy to applying for permits to the relevant parties. As a form of evaluation, the activity was attended by 25 elderly people, the participants took part in the activity very enthusiastically, the Group Activity Therapy activity could run on time and smoothly.
COMMENT LES VISITES VIRTUELLES TRANSFORMENT LE MÉTIER D’AGENT IMMOBILIER
Authors: Meier Olivier
Published: October 2022

Aujourd’hui, l'un des moyens les plus efficaces de convaincre un acheteur d'acquérir un bien immobilier est de lui permettre de l’expérimenter en temps réel pour en faire l'expérience d’utilisation (rapport à l’espace et à l’environnement) – pour appréhender concrètement l’habitat sélectionné et son environnement. En effet, a fortiori en temps de pandémie ou face aux contraintes logistiques ou professionnelles (éloignement géographique par rapport au lieu recherché) les logiciels de visites virtuelles se sont progressivement imposés sur le marché de l’immobiliser. Ils sont devenus au fil du temps, des outils essentiels pour les agents concernés, en offrant un rendu dynamique et interactif grâce à la modélisation en 3D ou via la simulation de visite à 360 degrés.
Pengembangan Pocketbook Sebagai Media Edukasi Dalam Pembentukan First Responder Emergency Response Pada Lingkup Prehospital
Authors: Widyarani Linda , Kustanti Cecilya
Published: October 2022

The health cadres play an essential role, as community health educator. The development of pocketbook emergency safety and first aid as a learning media to improve health cadres’s knowledge and skills as first responder emergency response. The purpose of this study is to determine the effect of pocketbook emergency safety and first aid as a learning media in health cadres ability as a first responder emergency response. This study used a quasi-experimental method with one group pre-post test design, with a purposive sampling technique. In this study, the average pretest value of knowledge was 57,50±4,075 and the posttest value of knowledge was 78,27±2,420, with a p-value of 0.000, which means that there is a significant difference between the knowledge before and after the intervention. The average pretest value of practice was 54,80±2,265 and the posttest value of practice was 73,73±1,999, with a p-value of 0.000, which means that there is a significant difference between the practice before and after the intervention.
Pengaruh Pemberian Aromaterapi Lavender Pada Ibu Bersalin Kala I Fase Aktif Terhadap Persepsi Nyeri Persalinan
Authors: Andini Indah Fitri , Puspita Yenni , Susanti Eva
Published: October 2022

ABSTRAK

Nyeri persalinan merupakan proses alamiah yang dirasakan oleh ibu yang akan melahirkan. Kondisi nyeri pada persalinan kala satu fase aktif merupakan kondisi fisiologis yang dialami oleh setiap ibu bersalin yang akan menyebabkan kecemasan (stress) karena tidak dapat menangani nyerinya tersebut. Salah satu metode non farmakologi untuk pengendalian rasa nyeri yaitu memberikan aromaterapi lavender, teknik ini dapat mengalihkan perhatian ibu dari nyeri saat kontraksi.Jenis penelitian ini menggunakan rancangan Quasi Eksperimental, dengan pre test and post test design with control group. Teknik pengambilan sampel menggunakan teknik Consecutive sampling dengan jumlah ibu bersalin sebanyak 38 sampel. Skala nyeri dinilai dengan lembar observasi Numeric Rating Scale (NRS). Uji statistik yang digunakan yaitu uji Mann-Whitney test.Hasil analisis Nyeri persalinan, perbandingan pengaruh perlakuan kelompok intervensi dan kontrol menggunakan Mann Whitney didapatkan p 0,006 <0,005, artinya ada perbedaan efektivitas persepsi nyeri persalinan pada kelompok intervensi dan kontrol sehingga dapatkan disimpulkan bahwa ibu yang diberikan Aromaterapi lavender lebih mampu beradaptasi dengan nyeri persalinan di kala I

dibandingkan dengan Ibu yang melakukan nafas dalam pada kelompok control.Kesimpulan penelitian adalah Aromaterapi lavender berpengaruh terhadap persepsi nyeri pada Ibu Bersalin Kala I Fase Aktif. Penggunaan aromaterapi ini sangat disarankan dalam pemberian asuhan di Kala I persalinan.
Evaluasi Pelaksanaan Program Penanggulangan Covid-19
Authors: Nursya Febriyanti , Wilda Tri Yuliza
Published: October 2022

Sejak pertama kali kasus Covid-19 dilaporkan di Indonesia beragam kebijakan dan regulasi penanggulangan penanganan Covid-19 telah dilakukan pemerintah. Namun, penanganan atau penanggulangan pandemi Covid dinilai masih belum cukup efektif. Perlunya disikapi bersama dan saling mendukung dalam melakukan upaya pencegahan dan penanggulangan dampak pandemi Covid-19 untuk meningkatkan keberhasilan program pemerintah. Penelitian ini bertujuan untuk mengevaluasi pelaksanaan program penanggulangan Covid-19 di Kota Padang tahun 2022. Penelitian ini menggunakan metode kualitatif deskriptif dengan metode evaluasi formatif. Teknik penelitian dengan wawancara mendalam, observasi, dan telaah dokumen mengenai program penanggulangan Covid-19. Analisis yang dilakukan yaitu triangulasi sumber dan triangulasi teknik. Hasil penelitian didapatkan bahwa pelaksanaan penanganan Covid-19 di lingkungan Dinas Kesehatan Kota Padang sudah berjalan dengan baik dan lancar meskipun masih ditemukan hambatan dalam penerapan 5M, penerapan kebijakan penanganan Covid-19 bisa teratasi dengan baik dan terjadi penurunan kasus dari bulan-bulan sebelumnya.