bluuebunny/crossref_metadata_2025 huggingface dataset:
A Living River” of Çanakkale Sarıçay Region Examination in the Scope
Authors: Temiz Topsakal Merve , Sağlık Alper , Gök Zekeriye
Published: August 2023

Urban areas are social areas that make it necessary for societies with different cultures to live together. The majority of the world's population lives in urban areas. Especially with the industrial revolution, a large population flow has occurred from rural areas to urban areas. The large and congested population in the cities brings with it a low quality of life. For this reason, people cannot go further than their daily life routines. When we look at the development of civilizations historically, it is seen that the most important source for the sustainability of life is water borders. At the same time, water borders have given identity to the place where it is located as a natural resource such as streams and rivers. The rivers, which are located in the urban area and give an identity to the city, meet the needs of the users along with the protection-use balance, thanks to the recreational uses they offer. Within the scope of the study, a design project that can respond to recreation-al uses has been developed in Sarıçay and its immediate surroundings, which constitute an important ecologi-cal corridor of the city. Visual, natural and cultural environment analyzes were made with SWOT analysis of the area. The aim of the study was to restore the sustainability of Çanakkale Sarıçay and its surroundings to the city and to function it. It is predicted that the study will positively affect the quality of life in the city and the quality of life will increase.
Investment Decision in Indonesia Stock Exchange: The Demographic of Environmental, Social, and Governance Investors
Authors: Trisnowati Yanuar , Achsani Noer A. , Sembel Roy , Andati Trias
Published: August 2023

Current investment decisions in stocks need to consider environmental, social, and governance factors in their investment analysis, in addition to considering aspects of the level of return and risk. The study aims to analyze who invests in Environmental, Social, and Governance (ESG) that fits a particular profile and whether that profile differs significantly from that of ordinary investors. In this survey, 415 individual Indonesian investors were surveyed. Survey respondents include those who invest according to ESG principles and those who are not interested in ESG, to determine if there are demographic differences. The research method used in the research is to use analysis of variance (ANOVA). The paper finds that the ANOVA assumption on the test of homogeneity variance states that the independent variable group has the same variance. Age variable has a significant effect on investment decisions. Meanwhile, gender, education, experience, and amount of investment variables do not affect investment decisions in ESG and non-ESG stocks. The demographic profile of investors who invest in ESG stocks has a significant difference to investors who make decisions to invest in non-ESG stocks. This study contributes to investors considering ESG factors in their investment decisions, and companies must also run their operations more with ESG principles.
PENGARUH PENERAPAN PEMBELAJARAN BERBASIS MASALAH TERHADAP DISPOSISI MATEMATIS SISWA MIS HAJIJAH AMALIA SARI PADANGSIDIMPUAN
Authors: Sofiyah Khotna
Published: August 2023

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan pembelajaran berbasis masalah terhadap disposisi matematika siswa. Penelitian ini menggunakan desain penelitian pre-eksperimen dengan teknik sampel cluster random sampling. Penelitian dilaksanakan di MIS Hajijah Amalia Sari Padangsidimpuan dengan populasi keseluruhan siswa semester genap tahun ajaran  2020/2021  yang  terdiri dari  10  kelas sebanyak  193  siswa,  sedangkan sampel penelitian ini adalah kelas  V  berjumlah  40  siswa. Instrumen menggunakan angket yang terlebih dahulu divalidasi. Kelas penelitian diberikan pretes sebelum perlakuan dan postes setelah perlakuan. Pembelajaran berbasis masalah memberikan pengaruh yang signifikan terhadap disposisi matematika siswa. Hal ini ditunjukkan dengan melakukan uji-t yang diperoleh  = 9,8 dan  = 2,022. Data tersebut memenuhi uji hipotesis yang menyatakan apabila  maka  ditolak dan  diterima yang berarti terdapat pengaruh yang signifikan dari penerapan pembelajaran berbasis masalah terhadap disposisi matematika siswa kelas V MIS Hajijah Amalia Sari Padangsidimpuan.
PENERAPAN MODEL PEMBELAJARAN INKUIRI UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MATEMATIS SISWA
Authors: Rohantizani Rohantizani , Muliana Muliana , Nurlaila Nurlaila
Published: August 2023

Tujuan penelitian ini yaitu untuk mengetahui apakah kemampuan berpikir kritis matematis siswa yang mengikuti pembelajaran dengan model pembelajaran inkuiri lebih baik dari pada kemampuan berpikir kritis matematis siswa dengan pembelajaran saintifik.  Penelitian ini merupakan penelitian quasi eksperimen, yang mengunakan  pretes-postes control group desaign.  Adapun populasi dalam penelitian ini adalah siswa kelas VII UPTD SMP Negeri 1 Matangkuli, sampel dalam penelitian ini sebanyak dua kelas. Akan dipilih secara sampling incidental yaitu kelas VII-1 sebagai kelas eksperimen menggunakan model inkuiri dan kelas VII-3 sebagai kelas kontrol menggunakan pendekatan  pembelajaran saintifik. pengolahan data mengunakan spss versi 18. Hasil penelitian menunjukkan bahwa: nilai Sig (p-value) > α 0,05), maka H_0diterima yaitu 0,076 pada kelas kontrol dan 0,093 kelas eksperimen sehingga data bertribusi normal. Analisis uji-t kemampuan berpikir kritis matematis siswa di peroleh 0,000 < 0,05, maka Ho ditolak dan Ha diterima. Hal itu berarti bahwa kemampuan berfikir kritis matematis siswa yang dibelajarkan dengan model pembelajaran inkuiri lebih baik dari pada kemampuan berpikir kritis matematis matematis siswa yang dibelajarkan dengan pendekatan pembelajaran saintifik.
A COMBINATION REVIEW ON EFFECT OF CITRUS JUICE AND METRONIDAZOLE IN INFLAMMATORY BOWEL DISEASE
Authors: Deeksha  , Saini Shalini , Bhatt Meenakshi
Published: August 2023

The set of inflammatory disorder known’s as inflammatory bowel disease (IBD) affects the gastrointestinal tract and is chronic and complicated condition. Both Crohn's disease and ulcerative colitis, the two main types of inflammatory bowel disease, cause inflammation in the digestive system. Chron's disease can affect any part of the gastrointestinal tract, while ulcerative colitis only affects the colon and rectum. They induce the inflammatory symptoms of swelling, discomfort, an increase in body temperature, redness, and itching. The diagnosis of inflammatory bowel disease requires a careful examination of the patient's medical history, a physical examination, and other tests. Blood tests, imaging scans, and occasionally biopsies. The goal of treatment is to reduce inflammation and symptoms, usually with a combination medication, dietary modification, and occasionally surgical intervention. IBD cannot be cured, however improvements in medical therapy have greatly enhanced patient outcome and care. To effectively manage IBD and improve the quality of life for patients suffering from this difficult condition, regular medical checkup and adherence to treatment plans are essential. The best IBD management and patients well- being depends critically on early detection, prompt intervention and continued support from healthcare provides. Metronidazole and mesalamine drugs are used as different dose in the treatment of IBD inflammation. Some condition citrus juice also used as a treatment because they help in the immune power.
ANALISIS PENGUASAAN LAHAN MENGGUNAKAN PENGINDERAAN JAUH PADA KAWASAN HUTAN PRODUKSI TETAP DI DESA KALE KO’MARA
Authors: Bandangan Kristina Sara , Naufal Naufal , Sultan Sultan , Abdullah Andi Azis , Molo Hasanuddin
Published: August 2023

Land cover is one of the important data that is always changing dynamically. This study aims to determine land cover changed in 2002 and 2022; and find out the indications of land tenure on the 2021 PPTPKH Indicative Map in the Permanent Production Forest Area of the Komara Forest Group in Kale Ko'mara Village, North Polombangkeng District, Takalar Regency, South Sulawesi Province. This research was conducted from May to August 2022. The data used include primary data which consists of landsat 7 imagery in 2002 and drone’s orthophoto in 2022; secondary data consists of the digital data of the forest area, the 2021 PPTPKH Indicative Map, and the Indonesian Official Topographic Maps. Analysis data by using remote sensing approached and GIS technique such as interpretation of imagery, overlay, and tabulation.  The research showed: (1) the results of the analysis of land cover changes in 2002 and 2022 are secondary dry land forest has increased by 112.81 hectares, shrubs has decreased by 175.70 hectares, dry land agriculture has increased by 195.87 hectares, mixed dry land agriculture has decreased by 139.31 hectares, open land has increased by 2.88 hectares, and water body has increased by 3.45 hectares; (2) the results of data analysis of land tenure indications on the 2021 PPTPKH Indicative Map are being indicated not controlled and been in the indicative map is 4.75 hectares, being indicated not controlled and been outside the indicative map is 123.87 hectares, being indicated controlled and been in the indicative map is 105.50 hectares, being indicated controlled and been outside the indicative map is 126.20 hectares, it has not been identified whether there is any indication of control and been in the indicative map is 8.77 hectares, it has not been identified whether there is any indication of control and been outside the indicative map is 13.35 hectares.
GEO-TOURISM OPPORTUNITY DEVELOPMENT ON KAMOJANG FOREST IN WEST JAVA
Authors: Winarno Gunardi Djoko , Muslih Ikhwan , Febryano Indra Gumay , Darmawan Arief , Iswandaru Dian , Santoso Trio
Published: August 2023

The landscape of volcanic and geothermal energy which has an attractive object and unique ecotourism is very important for geo-tourism destination. Nevertheless the use of geothermal so far in Indonesia including Kawah Kamojang only for electricity production which is still not optimal, but it has the potential of tourism in the form of craters geothermal and other potential tourist activity.  The research is needed to discuss the spectrum of tourism opportunities in Kawah Kamojang forest. The method for this study is Recreation Opportunity Spectrum (ROS), which was developed by the U.S. Forest Service. The result is a spectrum of geothermal potential ecotourism developed in integrated 6 ecotourism sites such as Geothermal Installation, TWA Kawah Kamojang, Situ Ciharus, Situ Cibeureum, Tourism Village, and Eagle Conservation Center. Some programs and tourism activities may be able to be potentially developed such as camping, jungle trekking, hiking, swimming, fishing, flora and fauna sighting, hot water bath, educational, culinary and cultural tourism. The constraints on developing geotourism are facilities and services, management, social and collision with applicable regulations. Therefore, there should be a joint effort and collective work between central government, local government, private sector, NGOs, educational institutions/ universities, and local communities towards this plan.
ANALISIS KESESUAIAN FUNGSI KAWASAN HUTAN DI DESA MANDALLE KECAMATAN MANDALLE KABUPATEN PANGKAJENE DAN KEPULAUAN
Authors: Fatimah Sitti , Naufal Naufal , Abdullah Andi Azis , Molo Hasanuddin , Sultan Sultan
Published: August 2023

The determination of forest areas in 1982, which is the basis for the function of forest areas, is currently considered to be less relevant, this is due to the large number of activities that are not in accordance with their designation and the presence of a new policy of the Ministry of Agriculture in 2021 where forest areas need to be reviewed using predetermined criteria. This study aims to determine the suitability of function of forest areas in Mandalle Village, which is currently based on the Decree of the Minister of Environment and Forestry number SK.362/MENLHK/SETJEN/PLA.0/5/2019 is a Protected Forest Area(Hutan Lindung). This research method uses the method of scoring forest areas with 3 (three) parameters, namely marbles, soil type and rainfall. From the results of this analysis, it is known that the steep slope class (25-40%) covers an area of 90.64 hectares with a percentage of 35.29% and the smallest the Flat slope class (0-8%) covers an area of 3.69 hectares with a percentage of 1.44%. The average rainfall at the study site was 14.78 mm / day (low) and the soil type of the study site was Podzolic which was categorized as sensitive soil.The results showed that the Protected Forest Area in Mandalle Village Mandalle Subdistrict Pangkajene and Islands Regency an area of ± 70,66 hectares (27,52%) suitable as Protected Forest, an area of ± 157,44 hectares (61,31%) directed as a Fixed Production Forest and an area of ± 28,69 hectares (11,17%) is directed as a Convertible Production Forest.
HERPETOFAUNA DAN HABITATNYA DI AREA FAKULTAS KEHUTANAN UNIVERSITAS PAPUA, MANOKWARI
Authors: Taran Denisa Melanesia Kreglika , Sawaki Saremay Max Romario , Rumatray Marsia Adeleida Regina , Taran Fransiskus Hernandes , Ayamiseba Darius Yulian
Published: August 2023

Herpetofauna is a group of animal that make up the ecosystem and has an important role both ecologically and economically. Along with the fragmentation of  ​​the Faculty of Forestry area at the University of Papua due to campus development, the diversity of the existing Herpetofauna may change. Therefore, this study aims to investigate the diversity of Herpetofauna and the habitat in the area of Faculty of Forestry at the University of Papua. The collection of data was carried out for one month using visual encounter survey with timed count technique. The results showed that there were 14 species of Herpetofauna consisting of one species of Frog (Platymanthis papuensis), ten species of lizards (Sphenomorphus muelleri, Sphenomorphus jobiensis, Emoia caeruleocauda, ​​Emoia jakati, Eutrophis multifasciata, Nactus pelagicus, Lemprolephis smaragdina, Cyrtodactylus sp., Gehira sp. and Hemydactylus frenatus) and three species of snakes (Micropechis ikaheka, Boiga irregularis and Candoia carinata). The most of Herpetofauna were found in the Arboretum Fahutan, seven species. Amphibians are only found at night while lizards and snakes were discovered both during the day and at night.
POTENSI DAN SKENARIO PENGEMBANGAN WISATA JEMBATAN PELANGI DI KABUPATEN SUPIORI PAPUA (Potensial and Development Scenarios the rainbow bridge tourism in Supiori Regency)
Authors: Mahmud Mahmud , Listy Ayu Filda , Beljai Matheus
Published: August 2023

Tourism is one of the sectors that an important contribution to national and regional economic growth.  The purpose of this study to assessment  potential tourist attraction objects and development scenarios for the rainbow bridge in Sorendiweri Village. The potential assessment uses the tourist attraction guidelines issued by the Directorate General of Forest Protection and Nature Conservation while the development analysis uses an analysis with the community based ecotourism development (CBED) model. The results showed that the rainbow bridge has a potential tourist attraction object of 2,545 (good). Communities and tourists regarding the development of objects and tourist attractions of the Rainbow Bridge perceive and accept and agree. Development scenarios so that rainbow bridge tourism is better known by the general public, both domestic and foreign tourists, including: adventure tourism in mangrove forest areas, identification of flora and fauna, visitor management, making tour packages, fulfillment and maintenance of infrastructure. The active role of the community and tourists greatly influences the existence of potential and future tourist objects.
Students’ Anxiety in Learning English (A Study at the 8th Grade of SMPN 6 Mataram)
Authors: Agustina Baiq Novianti , Hanafi Nurachman , Nurtaat Lalu , Sujana I Made
Published: August 2023

Anxiety has been expected to came failure in learning English. This study aimed to identify the levels of anxiety experienced by the students in learning English and what factors students believed contributed to their anxiety in learning English at the 8th grade of SMPN 6 Mataram. The method used in this study was qualitative, and the population consisted of 352 students, and 30 students (10%).  were selected as the sample. Data collection techniques included questionnaires from Horwitz & Cope (1986) and in-depth interviews from Price (1999). The results shows that no students were indicated as being very anxious and anxious levels, 14 participants (47%) were mildly anxious, 13 participants (43%) were at the relaxed level, and 3 participants (10%) were very relaxed. Students experienced class anxiety, which affected them negatively. Therefore, it was essential for English teachers to be aware of the anxiety among their students. It is also found that seven factors were found in this research, coming from both teachers and students. The anxiety factors from the teachers were teacher personality 3 participants (10%), speaking in front of the class 12 participants (40%) and incomprehensible input 7 participants (23%). While factors from students were student beliefs about English being difficult 22 participants (73%), ridiculed by peers 9 participants (30%), lack of preparation 12 participants (40%) and low self esteem 8 participants (27%). Apart from that, these factors were discussed in this study, deepening our understanding of foreign language anxiety.
STEAM Education
Authors: Utaminingsih Esty Setyo , Ellianawati Ellianawati , Sumartiningsih Sri , Puspita Maria Ayu
Published: August 2023

The International Society for Technology in Education (ISTE) requires institutional education to adapt to rapid technology and prepare students to compete internationally by using e-learning media in the classroom. The purpose of the study's literature is to strengthen every argument about STEAM education. Support argument required originating data source from secondary data. The method used in this research is the study literature method. Data collection techniques through collecting articles on STEAM, STEAM education, and technology in the learning process. Databases used for journal searches include Elsevier, Emerald, Springer, Research Gate, Academia Edu, Google Scholar, and Publish or Perish. The validity test of the data through several stages. The process starts with data collection, reduction, presentation, and withdrawal conclusion. The result of this study is that STEAM builds human resources who can think critically, logically, and systematically and have global competitiveness. Implementing STEAM education enables students to understand the importance of integrating multiple disciplines. Moreover, learners can improve their logical thinking and provide comprehensive opportunities for students to practice their thinking skills.
EFFECT OF NEW INSECTICIDES AGAINST COTTON BOLLWORMS
Authors:   Tamil Nadu Agricultural University Coimbatore  641 003 Tamilnadu, D THANGARAJU , S UTHAMASAMY ,   Tamil Nadu Agricultural University Coimbatore  641 003 Tamilnadu, A.V RANGARAJAN ,   Tamil Nadu Agricultural University Coimbatore  641 003 Tamilnadu, S JAYARAJ ,   Tamil Nadu Agricultural University Coimbatore  641 003 Tamilnadu
Published: August 2023

In field trials conducted for two years, it was found that two new synthetic pyrethroids viz., cyhalothrin at the rate of 0.025 kg a.i./ha and fluvalinate 0.075 kg a.i./ha were equally effective as fenvalerate 0.075 kg ai./ha against the bollworms on cotton. There was not much difference among the treatments in the yield of seed cotton, though flucythrinate recorded 2033 kg/ha (1985-86) and fenvalerate 1780 kg/ha (1986-87) as against 978 kg/ha in the untreated check respectively.
QUESTIONAMENTO SOCRÁTICO: DESCORTINANDO A PRÁTICA CLÍNICA
Authors: Oliveira Mônica Reis de
Published: August 2023

O presente trabalho trata-se de uma revisão narrativa, cujo principal objetivo é discutir e apresentar de maneira contextualizada a descrição e aplicação do Questionamento Socrático. Mesmo sendo apresentado como uma competência técnica fundamental para a prática clínica na TCC, é inegável a dificuldade em elucidar de forma objetiva a sua operacionalização. Foram realizadas breves reflexões conceituais e trazidos muitos exemplos práticos de como é possível operacionalizar o Questionamento Socrático. Ao passo em que reflete sob a perspectiva conceitual de Padesky e outros autores como a técnica pode estar envolvida, por assim dizer, com outras técnicas e como seu uso pode ser potencializado, percebemos como ele pode ser ampliado de uma prática estritamente verbal e cognitiva e levando para a ação e crescimento. Conclui-se que embora existam importantes inconsistências conceituais relacionadas ao Questionamento Socrático, com as últimas pesquisas e publicações é possível compreendê-lo, aplicá-lo e avaliar a sua eficácia e efetividade. Nesse sentido, torna-se fundamental desenvolver competências e habilidades para a sua prática.
A importância da educação especial dentro da educação inclusiva
Authors: PEREIRA ARRUDA MARIA EDUARDA
Published: August 2023

A inclusão da educação especial no campo educacional é de muita importância para o desenvolvimento dos alunos, onde as oportunidades ofertadas é de grande valia para a comunidade escolar, dessa maneira a educação inclusiva se torna cada vez mais eficiente no que tange a interação e integração com o todo, não deixando ninguém de fora no campo do conhecimento, para além, ainda existem muitas dificuldades de acesso dos alunos especiais no campo educacional e em sua maioria por causa da burocracia do Estado que dificulta o acesso das crianças no meio escolástico.
Evaluation of Thyroid and Lipid Profile of Hiv Patients Seen in a Faith-Based Health Facility in Anambra State, Nigeria
Authors: FU Ukodei , NK Nnamah , AJ Onuegbu , CE Onah , OB Ezenwa , AN Adimuo
Published: August 2023

Background: Human Immunodeficiency Virus (HIV) and thyroid function have been described. Prevalence pattern and atherogenic status significantly differ from HIV-negative control in several studies. Unfortunately, few studies have determined the prevalence of thyroid function and lipids among Nigerians living with HIV. Objective: This study is to evaluate thyroid hormones and lipid profiles in HIV-positive subjects attending a faith-based health facility in Anambra State Nigeria. Materials and methods: The serum concentration of Thyroid Stimulating Hormone (TSH), free Triiodothyronine (fT3), triiodothyronine (T3), free Thyroxine (fT4), Thyroxine (T4), Total Cholesterol [TC], Triglyceride [TG], High-Density Lipoprotein [HDL], Low-Density Lipoprotein [LDL] and Very Low-Density Lipoprotein [VLDL] was determined in 95 HIV positive subjects which include 48 patients who were on HAART- group 1 and 47 not on HAART- group 2; and compared to 30 HIV negative controls – group 3. Results: The level of TSH and fT3 was significantly (p < 0.05) higher in group 1 participants than in group 2 and the group 3 participants. The level of T4 was significantly higher in group 2 than in group 1 and group 3 participants. The level of T3 was significantly lower in Control participants in comparison to both HAART and non-HAART participants. The prevalence of fT4 dysfunction across the groups was significantly different from each other. The total mean of Cholesterol (163.5 ± 22.7), Triglyceride (163.5 ± 22.7), and Very Low-Density Lipoprotein (14.2 ± 2.4) of the HIV-positive participants were significantly (p < 0.05) lower than that of the HIV negative participants. Conclusion: The results obtained from this study indicate that serum levels of thyroid hormones may be used as baseline periodic markers during antiretroviral therapy and many people living with HIV may benefit from supplementation if appropriate.
Effect of Drying Method on Antioxidant Activity and Total Flavonoid Content of Java Tea Crude Drug (Orthosiphon aristatus)
Authors: Purnomo Daffa , Yulianti Putri Alvina , Hisyam Haikal Muhammad , Rimatunnisa Rizka , Indriani Dania Regita , Adinda Pasca Ryan , Hasanah Yeti Rusmiati , Hamad Alwani
Published: August 2023

Java tea (Orthoshipon aristatus) is a medicinal plant with antioxidant properties due to its polyphenols, flavonoids, phenolic acids, terpenoids, and sinensetin content. Numerous diseases, including hepatitis, diabetes, hypertension, and others, are commonly treated with Java tea. These bioactive compounds are unstable and readily degraded by oxygen, heat, and light. Inappropriate dehydration techniques may compromise the quality of the bioactive compounds in herbal Java tea crude drugs by damaging the bioactive compounds. Consequently, this study aims to determine the effect of various drying methods on the antioxidant activity and Total Flavonoid Content (TPC) of the crude drug of Java tea. In addition, the physical properties, including water content and hygroscopicity, are investigated. The method employs cabinet drying at 30 and 70 degrees Celsius, infrared drying, and sun drying. The results demonstrated that the crude drug dried in a cabinet at 30oC had the maximum flavonoid content (61.03±5.35mg QE/g) and moisture content (15.12±0.27%). The antioxidant activity of DPPH free radical scavenging and Ferri Reduction Antioxidant Power (FRAP) of Java tea from infrared drying was lower than other drying methods. All samples were non-hygroscopic powders. Consequently, the dehydration method significantly affects the antioxidant activity, TFC levels, and physical properties of the crude drug of Java tea.
Effect of Starter Concentration and Fermentation Time on the Characteristics of Modified of Cassava Flour (Mocaf)
Authors: Mauroh Dian Asykariyah , Hasanah Yeti Rusmiati , Mulyadi Abdul Haris
Published: August 2023

Mocaf (Modified Cassava Flour) is a modified cassava flour made through a fermentation process using microbes. One of the microbes that can be used for mocaf fermentation is Acetobacter xylinum . In this research, cassava tubers were fermented into mocaf flour with the help of a starter of Acetobacter xylinum bacteria. This research was conducted to determine the effect of starter A. xylinum's concentration and fermentation time on the characteristics of mocaf flour. The research method used OFAT (One Factor at A Time). The research consists of the making flour process (sorting, stripping, washing, slicing, fermentation, drying, milling, and sifting) and analyzing samples. The variations of starter A. xylinum concentration used were 5%, 10%, 15%, 20%, and 25%. While the variations of fermentation time were 24 hours, 36 hours, 48 hours, 60 hours, and 72 hours. The Parameters analyzed were % mass, moisture content, ash content, acid level, HCN content, and crude fiber content. The results showed that the starter concentration and fermentation time affected the percent mass (P-value <0.05). The mocaf flour that passes SNI is fermented cassava with a starter concentration of 15-25% and a fermentation time of 48-72 hours.
Stratifikasi Sosial Dalam Pendidikan di Probolinggo Pada Era Kolonial Belanda
Authors: Mayshurah Tiyo Eka , Sair Abdus
Published: August 2023

This study aims to explore social stratification in education during the Dutch colonial era in Probolinggo. Previous studies have shown that various educational policies implemented by the Dutch in Probolinggo were intended to prepare administrative and manual labor workers who would play an important role in building the economy. However, these policies have actually resulted in unfair social stratification in society. Although native education offered opportunities to obtain an education, these schools were established with a specific purpose: to meet the needs of manual labor workers for the benefit of Dutch capital. Native education mostly provided basic skills needed to work in specific sectors. This study was conducted using a historical approach consisting of heuristic, criticism, interpretation, and historiography stages. The results confirm that Dutch colonial education policies in Probolinggo not only produced manual labor workers but also strengthened the position of the Dutch East Indies government.Keywords: Social Stratification, Education, Probolinggo, Dutch Colonial.
MATHEMATICAL MODELS FOR DETERMINING THE PARETO FRONT FOR BUILDING TECHNOLOGICAL PROCESSES OPTIONS UNDER THE CONDITIONS OF INTERVAL PRESENTATION OF LOCAL CRITERIA
Authors: Beskorovainyi Vladimir , Kolesnyk Lyudmyla , Mgbere Dr. Chinwi
Published: August 2023

The subject of research in the article is decision-making support processes in the tasks of optimizing technological processes (TP) at the stages of their design or reengineering. The goal of the work is to improve the efficiency of technologies of automated design of TP due to the development of mathematical models of the tasks of selecting subsets of effective design solutions with intervally specified characteristics of options. The following tasks have been solved in the article: review and analysis of the current state of the problem of supporting decision-making in the tasks of optimization of TP at the stages of their design or reengineering; decomposition of the problem of making project decisions; formalization of the task of comparing intervals for selection of Pareto fronts using comparison indices based on the generalized Hukuhari difference; development of a mathematical model of the problem for the method based on Carlin's lemma; development of a mathematical model of the problem for the method based on Hermeyer's theorem; determination of the Pareto front in the task of optimization of TP by the method of pairwise comparisons. The following methods were used: system approach, theories of systems, theories of usefulness, theories of decision-making, system design, optimization and operations research. Results. The place and connections of the problem of determining the Pareto front in the problem of making project decisions are determined. A formalized interval comparison procedure for the selection of Pareto fronts using Hukuhari total difference comparison indices. Mathematical models of the problem of selection of Pareto fronts using methods based on Carlin's lemma and Hermeyer's theorem have been developed for the case of interval publication with the value of local criteria. An example of the formation of the Pareto front in the problem of optimization of the technological process by the method of pairwise comparison according to the indicators of the duration of the technological cycle, reliability and specified costs is given. Conclusions. The proposed mathematical models expand the methodological bases of the automation of TP design processes. They make it possible to correctly reduce the set of alternative options for construction of TP for the final choice, taking into account the knowledge, experience of designers and factors that are difficult to formalize. The practical use of mathematical models will allow to increase the degree of automation of design or control processes, to reduce the time of decision-making in conditions of incomplete certainty of input data and to guarantee their quality by selecting them only from a subset of effective ones.
ONTOLOGY-DRIVEN MEANS FOR PROCESSING AND PRESENTATION OF LARGE ARRAYS OF UNSTRUCTURED TEXTS
Authors: Haiko Svitlana
Published: August 2023

The subject of the article's research is methods of ontology-driven processing and presentation of unstructured texts in a global environment. The goal of the work is to improve the efficiency of automatic search, classification and selection of the necessary information contained in electronic publications in an unstructured form by developing a model, method and means of automated processing and transdisciplinary presentation of text documents created in Ukrainian, Russian and English languages. In accordance with the goal, the following tasks were set: to conduct an overview of models of processing and presentation of unstructured texts, to identify the advantages of information systems with an ontology-driven architecture, to develop a conceptual model and means for automated processing and transdisciplinary presentation of text documents, improve the method of recursive reduction, with the help of developed method and means to process a large array of unstructured texts (in particular information base of knowledge of scientific products (IBK SP), educational programs, as well as educational and research projects of the National Center "Junior Academy of Sciences of Ukraine"), to present them in a form that allows to reveal the quality and completeness of the knowledge system available in the databases and, thus, experimentally to confirm the effectiveness of the developed means. The conducted research is based on the following methods: systemological classification, algebraic-logical and axiomatic methods, the method of recursive reduction. The following results were obtained: the existing models of processing and presentation of unstructured texts were described, the technological aspects of the ontology-driven approach to the processing and presentation of large arrays of network documents were improved, the technology of forming ontologies of documents based on the representation of their taxonomies, connections between their contexts and multiple representations was developed, which provides effective search for information in unstructured texts. Conclusions: The advantages of ontology-driven means for processing and presentation unstructured texts are substantiated. The method of recursive reduction by constructing a transformation, which leads to the predicative form of ontologically given descriptions of information, gained further development. The idea of effective search, processing, classification and selection of the necessary information has gained further development.
STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS
Authors: Huliiev Nural , Peretiaha Maksym , Khovrat Artem , Teslenko Denys , Nazarov Alexei
Published: August 2023

The subject of the study in the article is the methods of predicting the development of diabetes. Diabetes mellitus is a non-communicable disease that has affected 425 million people, and by 2045 the number will only increase by 1.5 times. It has been proven to be an independent contributing factor to stroke development. When there is too much sugar in the blood, it negatively affects the arteries and blood vessels. People with this disease are more likely to develop atherosclerotic plaques and blood clots, which can lead to heart blockage and ischemic stroke. Having diabetes increases the risk and worsens the course of a stroke. According to the Framingham Study, the number of recurrent cases doubles. The aim of the study is to investigate methods of predicting and classifying the development of diabetes among people, in particular stroke patients, to prevent the development of other diseases. The complexity of the problem lies in the fact that there are as many undiagnosed cases as diagnosed ones, so about half of people suffer from the disease and the resulting complications due to improper or delayed diagnosis. Therefore, timely diagnosis of a disease that is difficult to detect is important in order to prevent the development of further complications. The article solves the problem of a multi-criteria task of choosing the best algorithm for predicting the occurrence of a disease. The following methods are used in this paper: multilayer perceptron, k-nearest neighbors method, decision tree, and logistic regression. Nowadays, machine learning has begun to apply to similar problems. In the 1950s and 1960s, there were attempts to combine the approaches to creating neural networks that existed at the time, which made it possible to calculate quantitative descriptions of human intelligence, and memorize, analyze, and process information, which resembled the work of the human brain. Medicine is one of the main areas of human activity where various classifier and neural network algorithms are gaining popularity yearly. They are trendy in disease diagnostics. Results: the initial conditions for choosing the best model are met by logistic regression. Conclusions: as a result of the study, the optimal model for predicting the development of the disease was selected.
MANAGEMENT METHOD OF ELECTRICITY GENERATION SYSTEM USING WIRELESS TECHNOLOGIES
Authors: Korniienko Yehor , Liashenko Oleksii , Torba Aleksandr
Published: August 2023

The subject of the study is the method of control and monitoring of the electricity generation system. The goal of the work is to investigate and develop a method for controlling the electricity generation system using wireless technologies. Relevance. The issues of energy efficiency and the use of alternative energy sources are relevant and important in modern conditions. In particular, solar energy is one of the most perspective areas in solving these problems. It is necessary to have the ability to monitor and control the generation process for optimal use of solar energy. The developed method should control the power generation system using wireless technologies and have flexible modes of operation. The development of the method of effective search for the point of maximum power and the power generation system in general is one of the most important tasks of the work. The object of the study is the process of  control  and monitoring of the electricity generation system. Research methods. Solar panel operation methods at maximum power: PWM (Pulse Width Modulation) and MPPT (Maximum Power Point Tracking). Results. The management method for the electricity generation system using wireless technologies is proposed in this work. A solar panel and a generator were chosen for electricity generation. The control of generation and system operation is based on the work of a microcontroller, which, in turn, transmits current data and the ability to control the system to a mobile application via a Wi-Fi module. This method can be used in a "Smart Home" system and other systems aimed at sustainable energy supply for consumers. Conclusion. The developed management method of the electricity generation system is planned to be used in systems of sustainable power supply for consumers. The method can be improved by integrating with other wireless technologies and adding other objects of electricity generation in the future.
RESEARCH ON METHODS OF DETERMINING CUSTOMER LOYALTY AND ASSESSING THEIR LEVEL OF SATISFACTION
Authors: Leiba Yana , Shirokopetleva Mariya , Gruzdo Iryna
Published: August 2023

The subject of research in the article is methods of data collection and processing to assess the level of customer satisfaction and loyalty to the company, as well as the possibility of evaluating the collected data. The purpose of the work is the analysis of methods for determining customer loyalty and assessing their level of satisfaction, the development of a unified assessment algorithm based on various types of data. The article deals with the following tasks: analysis of information acquisition methods – questionnaires and reviews, evaluation methods definition and comparison questionnaires with closed answers, reviews and open answers’ text tonality evaluation methods analysis using an artificial intelligence, development of an algorithm for determining a unified evaluation and conducting an experiment. The following methods are used: theoretical research methods for determining existing data collection methods, as well as methods for assessing the level of customer loyalty and satisfaction using CSI, CSAT indexes, NLP methods for determining the text tonality, bringing the calculated values to one scale, determining the method of a unified assessment; empirical research methods for conducting an experiment, determining and proving the feasibility of applying the method. The following results were obtained: a method of assessing customer loyalty and their level of satisfaction based on the analysis of various types of information with further results unification was proposed. Various types of date are responses to questionnaires and user reviews. The questionnaires are analyzed using KPI, and reviews – using artificial intelligence methods. After normalizing the results (bringing them to one scale), the additive convolution method is used to unify the overall result. A prototype of the software system has been developed, which allows you to carry out a full cycle from collecting information to calculating both KPI-metrics and a unified assessment. Conclusions: Experimentally, it was determined that the method of assessing customer loyalty and their level of satisfaction based on the unification of a comprehensive assessment of various types of data is efficient and can be used to optimize business processes by reducing time and efforts spent on analyzing the gathered data. The use of this method is fully justified, since the measurement error is low, and the margin of error is acceptable.
METHOD OF SIMULTANEOUS LOCALIZATION AND MAPPING FOR CONSTRUCTION OF 2.5D MAPS OF THE ENVIRONMENT USING ROS
Authors: Nevlyudov Igor , Novoselov Sergiy , Sukhachov Konstantin
Published: August 2023

SLAM (Simultaneous Localization and Mapping) is a relevant topic of research and development in the field of robotics and computer vision. SLAM finds wide applications in various areas such as autonomous navigation of intelligent robots, solving problems in augmented and virtual reality, UAVs, and other systems. In recent years, SLAM has made significant progress due to the gradual development of its algorithms, the use of advanced sensors, and improvements in computational power of computers. The subject of this study is modern methods of real-time simultaneous localization and mapping. The goal of the research is to model the developed algorithm for constructing maps of the surrounding environment and determining the position and orientation of the intelligent robot in space in real-time using ROS packages. The purpose of this article is to demonstrate the results of combining SLAM methods and developing new approaches to solve simultaneous localization and mapping problems. In order to achieve the set objectives, a collaboration of laser scanning (2D LRF) and depth image reconstruction (RGB-D) methods was utilized for simultaneous localization and mapping of the intelligent robot and construction of a 2.5D environment map. The obtained results are promising and demonstrate the potential of the integrated SLAM methods, which collaborate to ensure accurate execution of simultaneous localization and mapping for intelligent robots in real-time mode. The proposed method allows for considering obstacle heights in constructing the map of the surrounding environment while requiring less computational power. In conclusion, this approach expands technologies without replacing existing working propositions and enables the use of modern methods for comprehensive detection and recognition of the surrounding environment through an efficient localization and mapping approach, providing more accurate results with fewer resources utilized.
COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM
Authors: Teslenko Denys , Sorokina Anna , Khovrat Artem , Huliiev Nural , Kyriy Valentyna
Published: August 2023

The subject of research in the article is the problem of classification in machine learning in the presence of imbalanced classes in datasets. The purpose of the work is to analyze existing solutions and algorithms for solving the problem of dataset imbalance of different types and different industries and to conduct an experimental comparison of algorithms. The article solves the following tasks: to analyze approaches to solving the problem – preprocessing methods, learning methods, hybrid methods and algorithmic approaches; to define and describe the oversampling algorithms most often used to balance datasets; to select classification algorithms that will serve as a tool for establishing the quality of balancing by checking the applicability of the datasets obtained after oversampling; to determine metrics for assessing the quality of classification for comparison; to conduct experiments according to the proposed methodology. For clarity, we considered datasets with varying degrees of imbalance (the number of instances of the minority class was equal to 15, 30, 45, and 60% of the number of samples of the majority class). The following methods are used: analytical and inductive methods for determining the necessary set of experiments and building hypotheses regarding their results, experimental and graphic methods for obtaining a visual comparative characteristic of the selected algorithms. The following results were obtained: with the help of quality metrics, an experiment was conducted for all algorithms on two different datasets – the Titanic passenger dataset and the dataset for detecting fraudulent transactions in bank accounts. The obtained results indicated the best applicability of SMOTE and SVM SMOTE algorithms, the worst performance of Borderline SMOTE and k-means SMOTE, and at the same time described the results of each algorithm and the potential of their usage. Conclusions: the application of the analytical and experimental method provided a comprehensive comparative description of the existing balancing algorithms. The superiority of oversampling algorithms over undersampling algorithms was proven. The selected algorithms were compared using different classification algorithms. The results were presented using graphs and tables, as well as demonstrated in general using heat maps. Conclusions that were made can be used when choosing the optimal balancing algorithm in the field of machine learning.
COMPARATIVE ANALYSIS OF NEURAL NETWORK MODELS FOR THE PROBLEM OF SPEAKER RECOGNITION
Authors: Kholiev Vladyslav , Barkovska Olesia
Published: August 2023

The subject matter of the article are the neural network models designed or adapted for the problem of voice analysis in the context of the speaker identification and verification tasks. The goal of this work is to perform a comparative analysis of relevant neural network models in order to determine the model(s) that best meet the chosen formulated criteria, – model type, programming language of model’s implementation, parallelizing potential, binary or multiclass, accuracy and computing complexity. Some of these criteria were chosen because of universal importance, regardless of particular application, such as accuracy and computational complexity. Others were chosen due to the architecture and challenges of the scientific communication system mentioned in the work that performs tasks of the speaker identification and verification. The relevance of the paper lies in the prevalence of audio as a communication medium, which results in a wide range of practical applications of audio intelligence in various fields of human activity (business, law, military), as well as in the necessity of enabling and encouraging efficient environment for inward-facing audio-based scientific communication among young scientists in order for them to accelerate their research and to acquire scientific communication skills. To achieve the goal, the following tasks were solved: criteria for models to be judged upon were formulated based on the needs and challenges of the proposed model; the models, designed for the problems of speaker identification and verification, according to formulated criteria were reviewed with the results compiled into a comprehensive table; optimal models were determined in accordance with the formulated criteria. The following neural network based models have been reviewed: SincNet, VGGVox, Jasper, TitaNet, SpeakerNet, ECAPA_TDNN. Conclusions. For the future research and practical solution of the problem of speaker authentication it will be reasonable to use a convolutional neural network implemented in the Python programming language, as it offers a wide variety of development tools and libraries to utilize.