bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Fingerprint-Based Localization Based on Sequential Hybridization of Clustering Algorithms
Authors: Yaro Abdulmalik Shehu , Maly Filip , Prazak Pavel , Malý Karel 
Published: April 2024

The localization accuracy of a fingerprint-based localization system is dependent on several factors, one of which is the accuracy and efficiency at which the fingerprint database is clustered. Most highly efficient and accurate clustering algorithms have high time-dependent computational complexity (CC), which tends to limit their practical applicability. A technique that has yet to be explored is the sequential hybridization of multiple low-time CC clustering algorithms to produce a single moderate-time CC clustering algorithm with high localization accuracy. As a result, this paper proposes a clustering algorithm with a moderate time CC that is based on the sequential hybridization of the closest access point (CAP) and improved k-means clustering algorithms. The performance of the proposed sequential hybrid clustering algorithm is determined and compared to the modified affinity propagation clustering (m-APC), fuzzy c-mean (FCM), and 2-CAP algorithms presented in earlier research works using four experimentally generated and publicly available fingerprint databases. The performance metrics considered for the comparisons are the position root mean square error (RMSE) and clustering time based on big O notation. The simulation results show that the proposed sequential hybrid clustering algorithm has improved localization accuracy with position RMSEs of about 54%, 77%, and 52%, respectively, higher than those of the m-APC, FCM, and 2-CAP algorithms. In terms of clustering time, it is 99% and 79% faster than the m-APC and FCM algorithms, respectively, but 90% slower than the 2-CAP algorithm. The results have shown that it is possible to develop a clustering algorithm that has a moderate clustering time with very high localization accuracy through sequential hybridization of multiple clustering algorithms that have a low clustering time with poor localization accuracy. Doi: 10.28991/ESJ-2024-08-02-02 Full Text: PDF
Monitoring Agricultural Land Loss by Analyzing Changes in Land Use and Land Cover
Authors: Worachairungreung Morakot , Kulpanich Nayot , Thanakunwutthirot Kunyaphat , Hemwan Phonpat 
Published: April 2024

The agricultural sector's output holds paramount significance for the global population, serving as an indispensable resource for survival and consumption. Consequently, alterations in agricultural landscapes bear substantial implications for the world's food supply. The objectives of this research are to investigate the depletion of agricultural land, with a specific focus on Samut Songkhram Province—an agriculturally prominent region in Thailand renowned for supplying seafood and fruits to Bangkok. By employing advanced remote sensing and change detection methods and incorporating indices like NDVI, NDWI, and NDBI, the study meticulously analyzed land-use changes. The outcomes were rigorously scrutinized through supervised classification, validated by on-site inspections, and corroborated with data from pertinent agencies. Findings revealed that Samut Songkhram had sustained its prominence in agricultural land, constituting around 70% of the province's total area over the past two decades. However, this expanse has undergone persistent transformation during the last 20 years. Notably, the most substantial surge was observed in the conversion of agricultural land to urban and developed areas, particularly in the urban zones of Amphawa District, followed by Mueang Samut Songkhram and Bang Khonthi districts. This investigation illuminates a consistent downward trend in agricultural land, a vital source of sustenance for Thailand's population and the global community. Doi: 10.28991/ESJ-2024-08-02-020 Full Text: PDF
Synthesis and Characterization of Hybridfiber from Gelatin Modified by PVACOS Using Coaxial Electrospinning Techniques as an Advanced Medical Textile Material
Authors: Fatimah Siti , Sarto Sarto , Fahrurrozi Moh. , Budhijanto Budhijanto 
Published: April 2024

The synthesis of hybrid fiber based on bovine bone gelatin combined with polyvinyl alcohol-chitosan-oxidized sucrose (PVACOS) has been successfully carried out using the coaxial electrospinning technique. The presence of oxidized sucrose can improve the diameter and the tensile strength of hybrid fibers due to the formation of new covalent bonds. The combination of gelatin with PVACOS material aims to increase the strength of the hybrid fiber so that it has better tensile strength characteristics and improves the diameter of the resulting hybrid fiber. The characterization of the resulting material was tested using FTIR, SEM, EDX, XRD, and TGA. Based on FTIR analysis, there is an increase in absorption intensity in the 2900 cm-1 – 3000 cm-1 band, which indicates the occurrence of covalent bond interactions so that it can increase the bond strength between materials with the performance of crystalline materials. Apart from that, the morphological structure of the hybrid fibers was also investigated using scanning electron microscopy (SEM), and the resulting fiber diameter for Ge-Ch, Ge-Ch-PVA, Ge-PVACOS 3%, and Ge-PVACOS 5%, respectively, was 0.4049 µm. 0.3735 µm, 0.3388 µm, and 0.3206 µm. The tensile strengths of hybrid fiber for Ge-PVACOS 3% and Ge-PVACOS 5%, respectively, are 39.91935 N/m2 and 76.12507 N/m2. Statistical tests show that the concentration of oxidized sucrose has a significant influence on hybrid fiber performance. The significance values for diameter and tensile strength are 0.0486 and 0.0325, respectively. According to this performance, the Ge-PVACOS hybrid fiber is recommended as a material for advanced medical textiles. Doi: 10.28991/ESJ-2024-08-02-022 Full Text: PDF
System Parameters Sensitivity Analysis of Ocean Thermal Energy Conversion
Authors: Rasgianti . , Adiputra Ristiyanto , Nugraha Ariyana D. , Sitanggang Ruly B. , Pandoe Wahyu W. , Aprijanto . , Yasunaga Takeshi , Santosa Muhammad A. 
Published: April 2024

Ocean Thermal Energy Conversion (OTEC) is a technology to harvest the solar energy stored in the ocean by utilizing the temperature difference between warm surface and cold deep seawater. Considering that the OTEC system works in a low-temperature range, the present paper assessed the technical resources comprehensively by acquiring in-situ thermocline data and conducting a sensitivity analysis of the system parameters. The in-situ temperature profile data were measured in the waters of North Bali, Indonesia. The temperature gradient data based on field measurements were then compared with the HYCOM consortium model. The data were then used as input in the OTEC power and efficiency estimation through a single-stage ranking cycle. The analysis was conducted by varying the type of working fluid, the performance of the heat exchanger, and the location to investigate how the system parameters influenced the power produced. Using an unusual combination of parameters made it difficult to analyze the resulting data multiple times. However, with reference-based analysis and the formulation of calculations, the sensitivity of each parameter could be assessed at both locations. As a result, the ammonia working fluid provided the highest net power output of the system but had the lowest efficiency of all working fluids. The heat exchanger performance in terms of net power and efficiency cannot be separated from the seawater mass flow requirement. This referred to the results where the heat exchanger with a temperature difference of 3°C before and after the seawater passed through the heat exchanger and produced the highest net power and efficiency. Additionally, the net power output reached its convergence level at a water depth of 400m for the Bungkulan site and 450m for Celukan Bawang, which was proportional to the thermocline tendency. Doi: 10.28991/ESJ-2024-08-02-04 Full Text: PDF
Asymmetric Role of Economic Growth, Globalization, Green Growth, and Renewable Energy in Achieving Environmental Sustainability
Authors: Tran Hung Van 
Published: April 2024

This study fills the gap in the literature by applying novel quantile regression and spectral Granger causality frameworks to evaluate the asymmetric effect of GDP, globalization, green growth, and renewable energy consumption on CO2 emissions in India. The results suggest that in all quantiles, green growth, globalization, and renewable energy consumption impact environmental quality negatively, and the effect of economic growth on CO2 emissions is positive in most of the quantiles. In addition, the nexus between the regressors and CO2 emissions is significant across different time horizons. More specifically, the results from the spectral Granger causality test unveil that all the indicators would predict CO2emissions across various time scales. Several policy implications have been proposed based on the research’s findings so that India might move toward achieving sustainable development. Doi: 10.28991/ESJ-2024-08-02-05 Full Text: PDF
Crop Detection and Maturity Classification Using a YOLOv5-Based Image Analysis
Authors: Moya Viviana , Quito Angélica , Pilco Andrea , Vásconez Juan P. , Vargas Christian 
Published: April 2024

In recent years, the accurate identification of chili maturity stages has become essential for optimizing cultivation processes. Conventional methodologies, primarily reliant on manual assessments or rudimentary detection systems, often fall short of reflecting the plant’s natural environment, leading to inefficiencies and prolonged harvest periods. Such methods may be imprecise and time-consuming. With the rise of computer vision and pattern recognition technologies, new opportunities in image recognition have emerged, offering solutions to these challenges. This research proposes an affordable solution for object detection and classification, specifically through version 5 of the You Only Look Once (YOLOv5) model, to determine the location and maturity state of rocoto chili peppers cultivated in Ecuador. To enhance the model’s efficacy, we introduce a novel dataset comprising images of chili peppers in their authentic states, spanning both immature and mature stages, all while preserving their natural settings and potential environmental impediments. This methodology ensures that the dataset closely replicates real-world conditions encountered by a detection system. Upon testing the model with this dataset, it achieved an accuracy of 99.99% for the classification task and an 84% accuracy rate for the detection of the crops. These promising outcomes highlight the model’s potential, indicating a game-changing technique for chili small-scale farmers, especially in Ecuador, with prospects for broader applications in agriculture. Doi: 10.28991/ESJ-2024-08-02-08 Full Text: PDF
Study of inorganic based anti-blocks as migration control of slip additive on surface polyethylene monolayer film
Authors: Agustina Laily Aulia , Lestari Yeni Dwi , Adhinanda Arrival Arsyad , Ariesta Muhammad Naufal , Choi Jonghyun , Prananto Yuniar Ponco , Febriani Rakhma 
Published: April 2024

Slip migration must be controlled to maintain the performance and quality of flexible packaging. Inorganic based anti-block materials can be used to control the slip migration. This paper reported the effect of anti-block type on the inhibition of slip migration on polyethylene monolayer film. A series of formulations were made with three different anti-block additives, namely talc, natural silica, and synthetic silica, along with erucamide. The optical properties (haze) and friction properties (COF) were measured to assess the film characteristics as the development of slip migration in the presence of anti-block additives. Characterization of the anti-block material was conducted by SEM-EDX, slip additive type was examined by GC-MS, while the slip content on the surface was analysed by FTIR. The result showed that after seven days, synthetic silica anti-block gives COF up to 0.095, with the trace erucamide content on the film surface of 394 ppm, the lowest amongst other types of the anti-block used. The smaller particle size and higher silica content on synthetic silica anti-block resulted in better friction properties which act as a good barrier to limit a migration of erucamide onto the film surface.
Polinômio de Gauss: uma investigação da origem do conceito e a relação com coeficiente binomial
Authors: Teixeira Marcia Aparecida Garcia , Travassos Mariana Fabiana Garcia , Craveiro Irene Magalhães 
Published: April 2024

O foco principal deste trabalho é explorar a origem do conceito de polinômios de Gauss ou coeficiente q-binomial, relacionando suas propriedades com o coeficiente binomial. Essa estrutura pode ser usada em uma infinidade de interpretações combinatórias estudadas no Ensino Médio e início do Ensino Fundamental II. Os coeficientes binomiais aparecem naturalmente como multiplicadores na expansão de , onde e são números reais. Esses coeficientes possuem uma estreita relação com as combinações simples e são amplamente utilizados em combinatória. Eles possuem uma riqueza de identidades que podem ser demonstradas tanto por métodos algébricos quanto combinatórios. A ideia principal deste trabalho é apresentar uma diversidade de propriedades inerentes ao conceito de polinômios de Gauss e, ao mesmo tempo, calcular o limite quando tende a . Observa-se que o resultado gera identidades provenientes do coeficiente binomial. Essa função polinomial é inicialmente definida por meio de uma função racional, mas ao longo do trabalho, observa-se que ela pode ser representada como uma função polinomial na variável , com . Ao expandir essa função polinomial, obtemos coeficientes que carregam informações de problemas de natureza combinatória. Essa característica interessante permite ao docente estabelecer uma conexão entre conceitos algébricos e combinatórios. Uma outra propriedade interessante inerente ao coeficiente binomial é a relação estendida de Stifel para o polinômio de Gauss que permite a construção de um triângulo aritmético, explorando a natureza geométrica para resolver problemas combinatórios e algébricos. No entanto, o objetivo é descrever a origem do conceito e apresentar uma maneira diferente de introduzir uma classe de polinômios, explorando as operações algébricas entre eles e unindo, de maneira elegante, a Álgebra com a Análise Combinatória.
Assessing the Tolerance of Sagittaria Lancifolia (Spear Plant) to Linear Alkylbenzene Sulfonates (LAS) Exposure
Authors: Nabila Salsa , Purnamasari Risa , Agustina Eva , Irawanto Rony 
Published: April 2024

One of pollutant that commonly found in aquatic environment is detergent. Detergent pollution can cause skin irritation and other health problems in humans and animals that use contaminated water sources. To address this issue, it is critical to implement effective policies and regulations to control detergent pollution and promote sustainable wastewater management practices in Indonesia. One of the approaches to overcome detergent pollution is to use plants as pollutant absorbing agents, or commonly called phytoremediation techniques. Therefore, this study aims to determine the growth response of spear plant (Sagittaria lancifolia) in response to the stress of Linear Alkylbenzene Sulfonate (LAS) detergent. This research is an experimental research using a completely randomized design (CRD). There were four treatments tested with three replicates for each treatment. Treatment variations were based on the concentrations used in this study, namely 0 mg/L, 10 mg/L, 30 mg/L, and 50 mg/L. The research was conducted for four months, starting from July to October 2022, and was conducted in the greenhouse of Purwodadi Botanical Garden – BRIN. The result showed that although it experienced some morphological changes such as leaf drying, discoloration, and structural changes, Sagittaria lancifolia were able to survive and conduct metabolic activities properly during 28 days of Linear Alkylbenzene Sulfonates (LAS) pollutant stress. Thus, Sagittaria lancifolia are able to be used as one of the strategies in restoring the aquatic environment polluted by domestic waste, including LAS detergent.
Keefektifan Model Pembelajaran Team Games Tournament (TGT) Berbantuan Monopoli terhadap Kemampuan Berhitung dan Kolaborasi Siswa Kelas 2 SD
Authors: Sakundari Kania Indhudewi , Rizqi Hesti Yunitiara 
Published: April 2024

Salah satu faktor penyebab kurangnya kemampuan berhitung dan kolaborasi siswa adalah kurangnya inovasi dalam pembelajaran seperti minimnya penggunaan model serta media pembelajaran dalam kegiatan belajar mengajar. Penelitian ini bertujuan untuk mengetahui apakah terdapat keefektifan serta perbedaan rata-rata penggunaan model pembelajaran Team Games Tournament (TGT) berbantuan monopoli terhadap kemampuan berhitung dan kolaborasi siswa kelas 2 SD. Penelitian ini dilaksanakan di SD Negeri Bringin 01 dengan menggunakan desain penelitian quasi experimental dengan pola nonequivalent control group design. Berdasarkan hasil uji Independent Sample T-test nilai signifikansi kemampuan berhitung sebesar 0,001 sedangkan kolaborasi 0,000 yang berarti terdapat perbedaan rata-rata penggunaan model pembelajaran TGT berbantuan monopoli. Selain itu berdasarkan hasil uji regresi diketahui besar nilai R2 sebesar 0,227 dan nilai sig sebesar 0,001 yang berarti model pembelajaran TGT berbantuan monopoli berpengaruh sebesar 22,7% terhadap kemampuan berhitung. Sedangkan hasil uji regresi kolaborasi menunjukkan nilai R2 sebesar 0,314 dan nilai sig 0,000 yang berarti penggunaan model pembelajaran TGT berbantuan monopoli berpengaruh sebesar 31,4% terhadap kolaborasi. Hasil uji Paired Sample T-test menunjukkan nilai sig sebesar 0,001 untuk kemampuan berhitung dan 0,000 untuk kolaborasi yang berarti terdapat keefektifan penggunaan model pembelajaran TGT berbantuan monopoli. Dapat disimpulkan bahwa penggunaan model pembelajaran TGT berbantuan monopoli efektif terhadap kemampuan berhitung dan kolaborasi.
Penerapan Pendekatan Konstektual dalam Pembelajaran Matematika Materi Nilai Tempat Puluhan dan Satuan pada Siswa Kelas I Sekolah Dasar
Authors: Nazaruddin Nazaruddin 
Published: April 2024

Mutu dan efektifitas pendidikan merupakan permasalahan yang sangat komplek dan multi dimensional. Mutu pendidikan itu sendiri perlu ditingkatkan sehingga tidak tertinggal dengan kemajuan zaman. Tujuan penelitian ini adalah untuk meningkatkan hasil belajar Matematika tentang nilai tempat puluhan dan satuan melalui pendekatan kontekstual pada siswa kelas I SD N 007 Rambah Hilir Kecamatan Rambah Hilir Kabupaten Rokan Hulu. Penelitian ini termasuk penelitian penelitian tindakan kelas dilaksanakan dengan pola tindakan kelas. Dilaksanakan dalam 2 siklus dalam rangkaian kegiatan pembelajaran. Subjek penelitian ini adalah siswa kelas I Semester II tahun pelajaran 2021/2022 di SD N 007 Rambah Hilir Kecamatan Rambah Hilir Kabupaten Rokan Hulu sebanyak 23 siswa. Teknik pengumpulan data, menggunakan observasi, dan tes. Hasil penelitian menunjukkan adanya peningkatan pemahaman siswa siswa menunjukkan perolehan pada kondisi awal hanya 4 siswa atau 57,39%, naik menjadi 10 siswa atau 43,48% pada siklus pertama, dan 95,65% atau 22 siswa pada siklus kedua. Kesimpulan penelitian ini membuktikan bahwa penerapan pendekatan kontekstual dapat meningkatkan hasil belajar siswa
Bela Negara sebagai Tonggak Peradaban Jiwa Patriotisme Generasi Muda Era 5.0
Authors: Syafi’i Imam , Naimah Izzatun , Ardiansyah M Fahmi , Rif’ah Sirli Nailatur 
Published: April 2024

Bela Negara sebagai tonggak peradaban jiwa patriotisme merupakan teori yang sangat subtansial di era 5.0, di mana generasi muda mempunyai kapasitas alternatif dalam menghadapi tantangan masa depan. Tujuan dalam penulisan artikel guna membentuk generasi muda yang bisa diandalkan untuk menjadi pemasok perubahan, baik di jenjang teritorial maupun universal. Metode penelitian ini dengan menggunakan penelitian kualitatif deskriptif, dianalisis dengan berbagai konsep yang dijadikan sebagai referensi untuk menanggulangi permasalahan yang sedang diteliti. Era 5.0 dibuktikan oleh kemajuan teknologi yang ekspres dan transfigurasi sosial yang mendalam. Pada konteks ini, bela negara menjadi important foundation dalam menegakkan jiwa patriotisme pada generasi muda. Pendidikan mempunyai peran urgent dalam menciptakan jiwa patriotisme generasi muda. Selain itu, pelatihan skill, kepemimpinan, dan selfdevelopment harus menjadi bagian dari pendidikan bela negara. Generasi muda perlu memiliki kognisi yang otentik terhadap dampak media sosial dan keahlian digital dalam membangun impresi, tindakan, dan respons terkait dengan Bela Negara dan patriotism, melalui pengetahuan, konstribusi aktif, dan ekpansi moral, generasi muda akan menjadi antusiasme yang mampu menghadapi tantangan masa depan dan menjaga keberlanjutan peradaban jiwa patriotisme. Oleh karena itu, sebagai tonggak peradaban jiwa patriotisme generasi 5.0, bela negara memiliki tujuan penting untuk membangun generasi muda yang tangguh, bertanggung jawab, dan sangat berkomitmen terhadap negara.
Peningkatan Hasil Belajar Kognitif Matematika Siswa Kelas 1 SD Melalui Penerapan Benda Konkret Bangun Ruang
Authors: Pratiwi Retno Dwi , Zativalen Oriza , Kharisma Ahmad Ipmawan 
Published: April 2024

Tujuan penelitian ini adalah untuk meningkatkan hasil belajar kognitif siswa melalu penerapan benda konkret bangun ruang pada kegiatan pembelajaran. Penelitian ini dilakukan di SDN Porodeso kecamatan Sekaran kabupaten Lamongan dengan metode penelitian tindakan kelas (PTK). Penelitian menggunakan Teknik observasi dan tes terhadap siswa dan memperoleh informasi tentang hasil belajar siswa yang masih kurang dari KKM (Kriteria Ketuntasan Minimum) yakni sebesar 70. Peneliti melakukan analisis data dengan menggunakan Teknik pengumpulan data berupa observasi dan tes terhadap siswa, serta dokumentasi. Hasil penelitian menunjukan bahwa nilai siswa yang semula 3 dari 5 siswa tidak tuntas dalam materi matematika bangun ruang, kini nilai siswa tuntas secara keseluruhan. Sehingga dapat dikatakan bahwa benda konkret bangun ruang tersebut dapat meningkatkan hasil belajar kognitif siswa kelas 1 SDN Porordeso kecamatan Sekaran kabupaten Lamongan. Implikasi benda konkret bangun ruang dalam pembelajaran kelas 1 SD adalah penggunaan media pembelajaran benda konkret sangat efektif dalam menentukan tingkat keberhasilan siswa dalam pembelajaran matematika bangun ruang karena siswa dapat secara langsung mengetahui bentuk bangun ruang dalam wujud yang nyata
Pengaruh Model Pembelajaran Read, Answer, Discuss, Explan, Create terhadap Keterampilan Berpikir Tingkat Tinggi
Authors: Mastina Mastina , Setyaningrum Vidya 
Published: April 2024

Model pembelajaran Read, Answer, Discuss, Explan, dan Create sangat cocok dengan keadaan di Indonesia saat ini, terutama dengan keadaan guru dan peserta didik. Tujuan dari penelitian ini adalah untuk mengetahui seberapa efektif model pembelajaran RADEC untuk meningkatkan keterampilan berpikir tingkat tinggi pada peserta didik kelas 5 materi energi dan perubahannya di SDN 09 Pontianak Timur. Sebagai jenis penelitian kuantitatif, penelitian ini menggunakan metode quasi-experiment dan menggunakan desain kontrol pretest-posttest. Hasilnya menunjukkan bahwa peserta didik kelas 5 materi energi dan perubahannya di SDN 09 Pontianak Timur sebelum menggunakan model pembelajaran RADEC memiliki kemampuan awal yang hampir sama. Peserta didik kelas 5 materi energi dan perubahannya di SDN 09 Pontianak Timur mengalami peningkatan keterampilan berpikir tingkat tinggi setelah menggunakan model pembelajaran RADEC, tetapi peningkatan ini tidak signifikan. Ini menunjukkan bahwa tidak ada pengaruh yang signifikan dari model pembelajaran RADEC terhadap keterampilan berpikir tingkat tinggi peserta didik dibandingkan dengan sebelum menggunakannya. Hasil penelitian menunjukkan bahwa model pembelajaran RADEC memiliki pengaruh terhadap keterampilan berpikir tinggi, tetapi tidak signifikan