bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARATIVE ANALYSIS OF THE EFFECTIVENESS OF VARIOUS METHODS OF DE-ICING ROADS
Authors:   L.N. Gumilyov Eurasian National University, Khafiz K.N. , Khafizov A.N. , Mukhambetkaliyev K.K. ,   JSC  "Kazakhstan Road Research Institute",
Published: December 2024

The winter period poses a serious challenge to the road infrastructure, especially in the harsh climate of
Kazakhstan, where frequent snowfalls and extreme frosts create a risk of ice cover on the roads. De-icing road
treatment plays a key role in ensuring road safety by reducing the risk of slipping and improving wheel grip on the
road surface. The article discusses the main methods of de-icing roads, including chemical, friction, chemical-friction,
mechanical and thermal methods. Their features, effectiveness and impact on road safety are described. The results of
research on the use of chemical reagents such as NaCl, CaCl₂, mgcl₂ and biodegradable compounds are highlighted,
taking into account their effectiveness at different temperatures and environmental consequences. Innovative
technologies such as pavement heating systems are also being considered, which provide a long-term solution to the
problem of ice, but are characterized by high costs. The analysis of de-icing treatment methods reveals their advantages
and limitations, and also suggests optimal approaches for use in a changing climate. The results of the work can be
useful for improving the management of road infrastructure and improving road safety in winter.
INFLUENCE OF «URBAN HEAT ISLANDS» ON THE DEVELOPMENT OF THE ALMATY CITY
Authors:   International Educational Corporation LLP, Shonbasova S.Y. , Abiyeva G.S.
Published: December 2024

Global energy consumption in buildings is steadily increasing due to rapid urbanization, climate change
and other driving factors. Currently, when designing buildings, insufficient attention is paid to the problem of urban
heating networks and air pollution in a densely built urban environment; it is necessary to create an integrated
approach to solutions for adapting people's lives. It is no longer enough to satisfy the energy needs of societies, but it
is necessary to do this while meeting overreaching sustainable goals which impose ever so stricter requirements for
efficiency improvements, and environmental and other impact reductions. Based on the assumption that climate
conditions, building energy efficiency and urban design are strictly related to each other, many recent studies have
also demonstrated the need to map building energy consumption at the city scale rather than at the building level.
An urban heat island (UHI) can have a significant impact on a building's energy consumption by increasing cooling
demand and decreasing heating demand. However, the effect of UHI on building energy consumption has not been well
studied due to the challenges associated with quantifying the temperature change caused by HOT and estimating
building energy consumption. In this research, we reviewed the existing literature to improve the understanding of the
impact of HOT on building energy consumption. It was found that HOT can lead to a 19.0% increase in cooling energy
consumption and an 18.7% decrease in heating energy consumption.
Elucidation of The Effect of Flossing on Improving Joint Range of Motion
Authors: Maemichi Toshihiro , Ogawa Yuki , Wakamiya Kazuki , Yamaguchi Ryusei , Nagamoto Hideaki , Kumai Tsukas
Published: December 2024

Flossing has been hypothesized to improve joint range of motion (flexibility), potentially through enhanced fascial gliding, although this mechanism remains speculative. This study aimed to clarify the effect of flossing, a new type of myofascial release, on joint range of motion by focusing on tissue gliding properties. This study involved 14 healthy participants (aged 18-25 years) who performed two types of active exercises with floss bands wrapped around their lower legs. As a control, the participants performed the same active exercises on different days without floss bands. Measurements taken before and after the intervention included ankle dorsiflexion range of motion, ankle plantar flexion maximum voluntary contraction, medial head of the gastrocnemius muscle thickness using ultrasound, and fascial hardness at five locations according to depth. Lower leg flossing significantly increased ankle dorsiflexion range of motion by 28.3 ± 19.9% (control: 14.6 ± 12.4%, P = 0.04, d = 0.83). No significant changes were observed in maximum voluntary plantar flexion contraction or overall muscle and fascial hardness. However, the rate of change in hardness showed a trend toward reduction in the superficial fascia and the upper and middle gastrocnemius muscles, with the upper gastrocnemius muscle exhibiting a statistically significant decrease in hardness (P = 0.05). Flossing showed trends toward reducing superficial muscle and fascial hardness, particularly in the superficial fascia and the upper gastrocnemius muscle, although not all changes were statistically significant. This suggests that potential improvements in intertissue gliding around the fascia could contribute to an increased range of motion.
Optimization of Operational Parameters of Power Sprayer for Spraying in Mango Plantation
Authors: Waghmode Arun , Vijay V. Aware  , Mahesh L. Jadhav  , Prashant U. Shahare  , S. V.  Aware
Published: December 2024

Portable horizontal triplex pump (HTP) power sprayer is dominant in Konkan region especially for mango orchard spraying. A field experiment was carried out to optimize the performance of power sprayer in mango orchard. The selected mango orchard had 4.5 - 5.0 m height trees planted at 10 × 10 m spacing. Water sensitive papers of 44 × 44 mm size were stapled on up and down sides of tree leaves at different canopy positions to catch the spray deposition samples. The selected power sprayer was equipped with horizontal triplex plunger pump having power 3 kW and speed 1000 rpm. The experiment was conducted by varying the suction pressure from 980 to 1961 kPa, nozzle-to-target distance from 0.50 to 0.60 m, travel speed in range of 0.30 to 0.60 m s-1. The two nozzle types, viz., hollow and solid cone nozzle were used in the experiment. The statistical optimization was carried out using response surface methodology (RSM) with Box Behnken, randomized subtype design with total 34 experiments. The optimum parameters viz., pressure, nozzle distance and travel speed were 1471 kPa, 0.55 m and 0.45 m s-1, respectively for power sprayer with hollow cone type nozzle. At these optimized levels, the dependent variables viz., droplet size, droplet density, uniformity coefficient and spray deposition were observed as 291.4 µm, 120.12 droplets cm-2, 1.78 and 0.64 µl cm-2, respectively. These optimized parameters resulted in improved pesticide spraying efficacy with better coverage and improved safety during spraying operation in the mango orchard.
Identifying Land Use/Land Cover Changes Using Remote Sensing and GIS Techniques in Upper, Middle and Lower Reaches of Zayandeh-Rud Basin in Central Iran
Authors: Salehian Badi Saeid , Javed Etaat
Published: December 2024

The Zayandeh-Rud River basin, located in central Iran, has been one of the areas suffering from water instability problems. The water resource of the basin has diminished in the last decade, and consequently, the middle and downstream reaches of the river have temporarily dried or stopped flowing. Furthermore, there has been a serious decrease in water allocation to agricultural sector in these areas. In this study, ground-level land use changes were analyzed through Landsat satellite imagery analysis at two time periods, i.e., 2000 and 2014, which coincided with a period of instability in water resources of the Zayandeh-Rud River basin. The study area was divided into the upper, middle, and downstream reaches, and the results depicting areas under six land uses during 2000 and 2014 were compared to find changes in the land use. The results indicated that during these two periods of water resource instability, built-up and residential land uses all along the basin increased by 66.00 km2 ; therefore, the pasture land area decreased by 80.0 km2. Agricultural coverage in the upper reach increased by 108.85 km2; however, it decreased by 328.00 km2 in the middle reach and by 147.00 km2 in the lower reach. Conversely, barren land without cover decreased by 86 km2 in the upper reach, by 320.00 km2 in the middle reach, and by 183.00 km2 in the lower reach. According to the results of this study, some of the instability of agricultural water resources in the basin may have been intensified by the expansion of residential settlements, increase in agricultural land in the upper reach of the basin and generally mismanagement of land and water resources in the basin.
Impact of maturity and variety on the hyperspectral detection model for determining soluble solid content in fresh apricots
Authors: Runrun Wang  , Shujuan Zhang  , Zhao Zhang  , Ning Wang  , Haixia Sun  , Rui Ren
Published: December 2024

The hyperspectral technique is a non-destructive method for quantifying the organic matter content, and has emerged as a prevalent approach for measuring soluble solid content (SSC) in fruits. However, existing hyperspectral models often face challenges in accurately predicting new samples of different maturities and varieties, thus limiting their wide application. The aim of this study was to investigate the effects of maturity and variety on the hyperspectral detection model for SSC of fresh apricot, and to establish a robust global model. Standard normal variable transformation method was used to reduce the influence of uneven light distribution on spherical fruit. There are four data sets: 6-1-pre-ripe stage, 6-1-ripening stage, Wanghong-ripening stage, and Jinmei-ripening stage. Through the Mahalanobis distance-concentration gradient (MD-CG) method, representative samples (5, 10, 15) were selected from the fresh apricot data set of other maturity and varieties as representative and typical sample points, and included in the training set for model update. This greatly improves the stability of the model. By integrating representative samples from the other three datasets into the 6-1-ripening (6-1-R) training set, combined with feature wavelength selection and radial basis function neural network updates, the global model effectively predicted SSC (RPD > 1.4) for the remaining three categories of fresh apricot. The global model is mainly affected by the variation of fresh apricot varieties, and the influence of maturity on the model accuracy is relatively small. The results show that using MD-CG recalibration model as a rapid detection strategy can determine the content of SSC in fresh apricots of different maturity or varieties, thus providing a solid foundation for its industrial application.
Optimization of Pectin Extraction from Watermelon Rind and Characterization of the Extracted Pectin
Authors: P.P. Shameena Beegum  , V.R. Sagar  , Abhijit Kar  , Eldho Varghese  , Surender Singh  , Alemwati Pongener
Published: December 2024

Watermelon rind, comprising approximately 30% of the fruit weight, is commercially discarded as waste. This study explored the extraction of pectin from watermelon rind using citric acid, examining the effects of acid concentration, pH, and extraction temperature on yield using a Central Composite Design approach. The optimized conditions comprising of 3% citric acid, pH 1.28, 90°C extraction temperature, and a solid-to-extractant ratio of 1:25 for 1 hour, yielded a maximum pectin of 20.09%, closely matching the experimental yield of 19.02%, with an R2 value of 99.8%. Vacuum drying at 40°C and 550 mmhg-1 was determined to be ideal for drying the precipitated pectin. The extracted pectin exhibited high purity with a moisture content of 7.90%, methoxyl content of 6.86%, anhydrouronic acid content of 71.25%, ash content of 2.05%, and a degree of esterification (DE) of 55.24%, categorizing it as moderately high methoxyl pectin. The pectin could successfully be stored in low-density polyethylene (LDPE) pouches and borosilicate glass containers under ambient and refrigerated conditions for up to six months without significant quality degradation. The process outlined in this study provides a sustainable method for valorizing watermelon rind, demonstrating its potential as a raw material for high-quality pectin production.
Institutional Factors and Sustainable Development Perspectives: Comparative Analysis of EU Candidate Countries
Authors: Tutberidze Gocha , Ugulava Gocha
Published: December 2024

As is well known, institutional factors play a significant role in achieving sustainable development goals. The aim of this research is to conduct a comparative analysis of the current outcomes of policies implemented to achieve sustainable development goals in EU candidate countries, highlighting existing trends and challenges. The comparative analysis focuses on three dimensions of sustainable development: social development, economic development, and environmental sustainability. Using a comparative analysis approach, the study examines the status of EU member and candidate countries across all three dimensions, identifies current difficulties, and outlines forecasts for future development trajectories. Overall, the research analyzes over 15 variables (approximately 600 indicators) for nine candidate countries and 27 EU member states. The study is particularly relevant as the comparison is based on the most recent full data available for 2022, reflecting the starting point for new candidate countries. This will allow us to analyze future developments dynamically, assess the progress in overcoming identified challenges, and evaluate the effectiveness of implemented policies. The research is illustrated with factual numerical data and graphical material.
Serving the Community During the Time of War: the Experience of Berdyansk State Pedagogical University
Authors: Melnikova Iuliia , Aleksandrova Hanna , Bohdanova Maryna
Published: December 2024

The article describes the experience of Berdyansk State Pedagogical University, which was temporarily displaced due to the occupation of Berdyansk by Russian troops at the beginning of russian full-scale invasion of Ukraine in February 2022. BSPU is a city-forming educational institution that unites talented and promising young people. The publication describes how the university administration, academic staff, and students overcame the challenges of war and temporary displacement. The authors emphasize the importance of communication with the community and local government, as these are people united by a common goal, problems, and needs based on the historical and cultural characteristics of the region in general and in connection with the war in particular. An important factor in the new format of work is the discussion of painful and problematic issues of occupation, education, and culture of Berdiansk and the definition of goals and objectives that the community will face after its de-occupation, which is part of the implementation of the Sustainable Development Goals by Berdiansk State Pedagogical University. In general, the university's activities are aimed at implementing 13 goals: poverty eradication, good health and well-being, quality education, gender equality, clean water and adequate social conditions, affordable and clean energy, decent work and economic growth, sustainable development of cities and communities, climate change mitigation, marine conservation, protection of terrestrial ecosystems, peace and justice, and partnership for sustainable development. The course examines changes in the educational landscape due to temporary displacement, adaptation of traditional educational practices to new learning and teaching conditions, and modernization of the educational process related to the creation of an inclusive educational environment. The emphasis is on fostering values that address the current needs and interests of students, creating a favorable environment for the development of academic, social and emotional competencies. Student leisure, which is based on the principle of student-centeredness, is diversified even in the context of the university's relocation and the dispersion of teachers and students across Ukraine and the world. Thematic groups and clubs, summer and winter online and offline camps, a volunteer school, educational and psychological laboratories, theater, dance and history groups, the student almanac “Sails,” public lectures by leading university scholars – all these activities are aimed at unlocking creative potential, creating opportunities for cooperation, interaction and partnership between students, teachers, practitioners and scholars.
The Impact of Corporate Social Responsibility on Brand Perception: A Study on the Food and Beverage Sector in Turkey
Authors: Balikel Ali Eren
Published: December 2024

The aim of this study is to investigate the effects of corporate social responsibility strategies on brand perception within the food and beverage sector in Turkey. The population of this study consists of consumers in Turkey. 385 people participated in this study and the convenience sampling method was used. A survey was conducted for this research. The relationships between CSR dimensions and Brand Perception dimensions were examined using correlation and regression analyses. According to the correlation analysis results, there is a positive and statistically significant relationship between “brand loyalty” and “legal and moral social responsibility” “brand loyalty” and “economic social responsibility”. Regression analysis results on the other hand showed that the “economic social responsibility” sub-dimension has a positive and statistically significant effect on “brand awareness” and “brand loyalty” sub-dimensions. The “corporate communication” sub-dimension has a positive and statistically significant effect on “brand loyalty” sub-dimension and “Common sense social responsibility” sub-dimension also has a positive and statistically significant effect on “brand loyalty” sub-dimension of the brand perception. However, it has been found that none of the CSR image dimensions have a statistically significant effect on perceived quality. In other words, while CSR activities increase customer loyalty and brand recognition, they do not have an impact on customers’ perception of quality.
Sustainability Efforts in Coffee Production. An analytical review
Authors: Echchabi Abdelghani , Ayedh Abdullah Mohammed , Musse Osman Sayid Hasan
Published: December 2024

Coffee is one of the most traded commodities globally, with millions of farmers relying on it for their livelihoods. However, the coffee industry faces significant challenges related to sustainability, including deforestation, biodiversity loss, and the impacts of climate change. To address these issues, various sustainability efforts have emerged within the coffee sector worldwide, focusing on environmental stewardship, social equity, and economic viability. This paper explores the main sustainability efforts in coffee production, highlighting innovative practices, certifications, and initiatives that contribute to a more sustainable coffee industry.
Content of the Term “Corruption“
Authors: Beshkenadze Zviad
Published: December 2024

The paper describes the characterization of corruption and bribery, discusses the views of scientists, lawyers and legal documents of international organizations regarding corruption as a "criminal event", analyzes the existing approaches to the concept of corruption, presents the signs and classification of corruption, the concept of corruption in scientific circles, international legal documents Author's conclusions are made based on the approaches.
Monetary Hypocrisy – Case Against the USD Hegemony
Authors: Khidasheli Mirza
Published: December 2024

Following the 2008 financial crisis, China and the BRICS efforts to contest the supremacy of the U.S. dollar by advocating for an alternative monetary framework, particularly trade with national currencies. This paper explores the fundamental contradictions inherent in these initiatives, positing that it is both disingenuous and conceptually flawed for authoritarian regimes—characterized by the absence of democratic governance and rule-based legal systems—to champion a rule-based international financial architecture. Such governments, which stifle transparency and accountability within their borders, are ill-suited to cultivate a stable and just global monetary system. Moreover, the emphasis on national currency trade, particularly involving China, is likely to result in the dominance of the Yuan, as no nation in the Global South possesses nearly the same level of export capacity and economic clout as China. Consequently, rather than establishing a more equitable system, these initiatives reinforce China's monetary authority and underscore the contradictions of authoritarian states advocating for a rule-based order that they do not uphold.
Measuring Circular Economy in the European Union Based on a Composite Indicator
Authors: Kozma Dorottya
Published: December 2024

In the European Union, circular economy has received increasing attention, because of its potential to break with unsustainable production and linear consumption models. The concept of the circular economy came to the fore in the 1960s and typically changes depending on the political, geographical, territorial, social and cultural context. In terms of its operational process, the circular economy, as opposed to the linear economy, sees the economy as a sustainable economic system. The system separates economic growth from the use of resources by reducing the use of natural resources and, in a way, recycling them.

Making progress and measuring performance in the circular economy as an integral part of sustainable development is quite a difficult task, as is getting countries, in this case, the 27 EU Member States, to adapt to this economic model. Measuring the level of implementation of circular economy strategies is still at a relatively early stage, which means that despite efforts, not all countries use the same indicators to measure them. Despite the development of a wide range of indicators, there is inconsistency in their purpose, scope and potential application.

This study examines the circular economy indicators for the 27 Member States of the European Union to develop composite indicators at the Member State level. The research objective can be achieved with the help of secondary data from Eurostat's central database, which is specific to the circular economy. The 25 indicators are structured around four themes, forming the composite indicator's basis. The composite results for the 27 EU Member States show that Belgium, Germany, Denmark and the Netherlands top the rankings, with Romania, Croatia and Malta at the bottom. The existence of these results means that it is easy to measure the performance and ranking of EU Member States in terms of the circular economy.
State and Business in Financing the Goals of Sustainable Development
Authors: Kryshtal Halyna , Briukhovetska Iryna , Khimich Sviatoslav
Published: December 2024

Sustainable development remains the main priority of the global community, but the implementation of the Sustainable Development Goals (SDGs) faces serious financial difficulties. The COVID-19 pandemic has significantly exacerbated the problem of uneven access to finance, widening the gap between developed and developing countries. The events of 2022, in particular the war in Ukraine, further complicated the global economic situation, leading to a sharp increase in food and energy prices, as well as a deterioration in financial conditions. These factors have significantly narrowed the fiscal space for many developing countries, increasing the risk of a fiscal crisis. The article analyzes the main sources of financing for sustainable development, such as public spending and foreign investment, which currently face serious obstacles. It highlights the challenges of mobilizing sufficient financial resources from both domestic and international sources, as well as the importance of foreign direct investment for economic growth, job creation and environmental sustainability. The authors emphasize the need for urgent and balanced actions to prevent a long-term crisis in the financing of the Sustainable Development Goals and to ensure the basic conditions of existence, health care and general well-being of the population.
Prospects for the Development of the Green Bonds Market
Authors: Klymenko Kateryna , Ukhnal Nataliia
Published: December 2024

The green bond market, a key financial instrument for funding environmentally sustainable projects, has witnessed significant global growth since its inception in 2007. This paper analyzes the current trends, challenges, and future prospects of the green bond market, focusing on the role of political support, investor demand, and technological advancements in driving its expansion. While major issuers like Europe, the US, and China dominate, the market’s development faces hurdles such as the lack of unified global standards and high verification costs, which limit broader participation, especially from developing countries. Despite these challenges, green bonds have the potential to transform global financial systems by funding projects in renewable energy, sustainable transport, and waste management. For Ukraine, the green bond market offers substantial opportunities, particularly in post-war reconstruction efforts. Ukraine’s integration with European and global markets, coupled with support from international financial institutions, positions it to leverage green bonds for energy modernization and environmental sustainability, contributing to long-term economic recovery. This paper underscores the pivotal role green bonds can play in advancing Ukraine’s environmental goals and its integration into the global financial ecosystem.
Optimalisasi Kinerja Unreal Engine 5 Menggunakan Teknik Meta-Learning untuk Rendering Real-Time dan Adaptasi AI
Authors: Aryanto Aryanto , Marccel Janara Brata Cipta I Nengah
Published: December 2024

Penelitian ini mengeksplorasi penerapan teknik meta-learning untuk mengoptimalkan kinerja Unreal Engine 5, sebuah platform yang banyak digunakan dalam pengembangan game dan pembuatan 3D real-time. Meta-learning, yang sering disebut sebagai pembelajaran untuk belajar, berfokus pada pengembangan model yang dapat beradaptasi dengan tugas baru dengan data dan waktu pelatihan yang minimal. Penelitian ini bertujuan meningkatkan efisiensi rendering aset, optimasi scene, dan perilaku AI dalam lingkungan Unreal Engine 5. Dengan pendekatan meta-learning, kami berharap mencapai konvergensi yang lebih cepat dan generalisasi yang lebih baik di berbagai tugas, sehingga mengurangi beban komputasi. Metodologi penelitian melibatkan analisis komparatif antara model pembelajaran mesin tradisional dengan model meta-learning yang diterapkan pada manajemen aset dan rendering scene dinamis di Unreal Engine 5. Hasil penelitian menunjukkan bahwa model meta-learning memiliki kemampuan adaptasi dan efisiensi kinerja yang lebih baik, terutama pada skenario konten dinamis. Penelitian ini berkontribusi pada optimasi pipeline rendering real-time dalam pengembangan game, serta memberikan wawasan bagi pengembang yang ingin memanfaatkan AI untuk pengalaman pengguna yang lebih baik.
Pengembangan Bahan Ajar Digital Berbasis Budaya Banyumas untuk Pemelajar BIPA 1 di Unsoed
Authors: Nurfitri Rahma , Yulianti Uki Hares , Riyanton M
Published: December 2024

Bahasa Indonesia bagi Penutur Asing (BIPA) merupakan sebuah program pembelajaran keterampilan berbahasa Indonesia bagi penutur asing. BIPA International Relation Office (IRO) Universitas Jenderal Soedirman menjadi salah satu lembaga pembelajaran bahasa Indonesia bagi penutur asing yang berada di Purwokerto, Banyumas. Keterbatasan bahan belajar mandiri menyebabkan pemelajar kurang aktif dalam pembelajaran. Materi dalam bahan ajar masih bersifat umum dan belum sesuai kebutuhan pemelajar sehingga membutuhkan penyesuaian. Dengan mengikuti perkembangan teknologi, pemilihan bahan ajar dalam bentuk digital dapat memuat informasi sesuai kebutuhan pemelajar tanpa terbatas ruang dan waktu. Selain itu, materi yang sesuai konteks, budaya, dan kebutuhan pemelajar dalam kehidupan sehari-hari dapat membantu pemelajar untuk beradaptasi dan berinteraksi dengan penduduk lokal. Tujuan dari penelitian ini adalah mendeskripsikan kebutuhan pengembangan bahan ajar digital bermuatan budaya Banyumas bagi pemelajar BIPA 1 di Unsoed. Penelitian ini menggunakan metode penelitian pengembangan model ADDIE yang terdiri atas lima tahap, yaitu analysis (analisis), design (perancangan), development (pengembangan), implementation (implementasi), dan evaluation (evaluasi). Hasil analisis kebutuhan dalam penelitian ini disesuaikan dengan tujuan dan kondisi penelitian yang sebenarnya. Pengumpulan data dilakukan melalui kegiatan wawancara dan pengisian angket. Hasil dari penelitian ini menunjukkan kebutuhan pengajar dan pemelajar terhadap bahan ajar digital bermuatan budaya Banyumas bagi pemelajar BIPA 1 di Unsoed. Pengembangan bahan ajar digital diharapkan dapat memberikan kemudahan aksesibilitas bagi pengajar dan pemelajar sesuai dengan preferensi dan kebutuhan dalam pembelajaran BIPA 1. Selain itu, penggunaan bahan ajar digital diharapkan dapat meningkatkan kosakata dan memberikan pengalaman budaya Banyumasan bagi pemelajar BIPA.
Penerapan Metode Haar Cascade terhadap Objek Botol menggunakan ESP32-Cam
Authors: Silalahi Lukman Medriavin , Simanjuntak Imelda Uli Vistalina , Rizki Retno Bangun , Fajri Nuralia
Published: December 2024

Riset ini mengeksplorasi metode Haar Cascade untuk deteksi objek yang berfokus pada identifikasi botol menggunakan modul ESP32-Cam. Riset ini secara bertahap mengumpulkan dataset objek gambar botol yang beragam untuk melatih Haar Cascade. Kemudian, proses pelatihan menggunakan machine learning dan algoritma Haar Cascade untuk mengidentifikasi objek botol hingga akhirnya diimplementasikan pada perangkat ESP32-Cam. Hipotesis penelitian ini melibatkan integrasi mesin konveyor beserta komponen pendukung yaitu sensor infrared, buzzer, LED, relay, dan LM2596. Tujuan dari riset ini adalah menerapkan prinsip kerja sistem deteksi objek pada botol yang secara otomatis mendeteksi keberadaan botol dalam gambar atau video menggunakan ESP32-Cam sebagai papan mikrokontroler dan metode Haar Cascade sebagai algoritma pengenalan objek yang diintegrasi ke mesin konveyor. Akhrnya, riset ini menyimpulkan bahwa hasil perancangan dan pengujian implementasi metode Haar Cascade menggunakan ESP32-Cam telah berhasil dan berfungsi optimal. Hasil pengujian diperoleh bahwa ESP32-Cam mampu mendeteksi objek botol pada rentang 16 hingga 22 detik dengan akurasi rata rata 75% pada botol kaca dan 78% untuk botol berbahan plastik. Selanjutnya, ketika ESP32-Cam dihalang oleh kaca film diperoleh hasil akurasi rata-rata 44% pada botol kaca dan 77% pada botol plastik. Berdasarkan pengujian sistem keseluruhaan diperoleh bahwa purwarupa ini hanya akan mendeteksi botol dengan mengeneralisasi botol dalam bentuk dimensi ukuran yang berbeda-beda.
Optimalisasi Produksi Keset dengan Frame Antropometrik untuk Anak Down Syndrome di Panti Bina Siwi
Authors: Yusuf Arya , Manullang Raynald Rahmadani , Setiyawan Bagus Putra , Ramadhan Tarangga Rizal , Nurazijah Sifa , Handoyo Rendy Roos
Published: December 2024

Program ini dilakukan karena adanya kendala pada keterbatasan alat dan efisiensi kerja dalam pembuatan keset di panti asuhan Bina Siwi. Program ini bertujuan untuk meningkatkan keterampilan produksi keset pada anak dengan down syndrome melalui pengembangan alat berbasis antropometrik dan pelatihan manajerial. Metode yang digunakan meliputi pembuatan alat, pelatihan pengasuh dengan metode Training of Trainer (ToT), dan penerapan K3. Hasil menunjukkan peningkatan efisiensi waktu produksi keset dari 10 hari menjadi 5 hari dan peningkatan kualitas produk. Program ini berkontribusi pada pemberdayaan ekonomi panti dan memberikan model pelatihan yang dapat diadopsi oleh komunitas lain.
Prediksi Magnitudo Gempa Menggunakan Random Forest, Support Vector Regression, XGBoost, LightGBM, dan Multi-Layer Perceptron Berdasarkan Data Kedalaman dan Geolokasi
Authors: Maulita Ika , Wahid Arif Mu'amar
Published: December 2024

Penelitian ini bertujuan membandingkan kinerja lima algoritma pembelajaran mesin, yaitu Random Forest, Support Vector Regression, XGBoost, LightGBM, dan Multi-Layer Perceptron dalam memprediksi magnitudo gempa berdasarkan data kedalaman dan geolokasi. Masalah yang diangkat adalah pentingnya prediksi magnitudo gempa yang lebih akurat untuk meningkatkan efektivitas mitigasi risiko bencana, terutama di daerah rawan gempa. Data yang digunakan mencakup informasi kedalaman, lintang, dan bujur dari peristiwa gempa selama periode tertentu. Metode penelitian melibatkan pembagian data pelatihan dan pengujian, serta evaluasi kinerja model menggunakan metrik Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), dan R². Hasil penelitian menunjukkan bahwa LightGBM memberikan performa terbaik dengan nilai MAE sebesar 0,4688, RMSE sebesar 0,6284, dan R² sebesar 0,2458. Random Forest mengikuti dengan nilai MAE sebesar 0,4750, RMSE sebesar 0,6312, dan R² sebesar 0,2391. XGBoost menunjukkan performa yang kompetitif dengan MAE sebesar 0,4932, RMSE sebesar 0,6471, dan R² sebesar 0,2003. Sebaliknya, Support Vector Regression mencatatkan nilai MAE sebesar 0,5136, RMSE sebesar 0,6987, dan R² sebesar 0,0677, sementara Multi-Layer Perceptron memberikan kinerja terendah dengan MAE sebesar 0,5190, RMSE sebesar 0,7152, dan R² sebesar 0,0231. Dampak penelitian ini sangat penting bagi pengembangan sistem peringatan dini gempa dan peningkatan akurasi prediksi magnitudo gempa. Penelitian ini menegaskan bahwa pemilihan model yang tepat dapat berkontribusi pada mitigasi risiko bencana, dengan memberikan informasi yang lebih akurat mengenai kekuatan gempa yang dapat terjadi. Temuan ini juga menunjukkan bahwa algoritma pembelajaran mesin, terutama LightGBM dan Random Forest, dapat menjadi alat yang efektif dalam analisis seismologi dan aplikasi prediksi gempa.
Media Pembelajaran Teknik Bola Voli Berbasis Android untuk SMPN 13 Bandar Lampung
Authors: Damayanti Damayanti , Mayindy Thasya Putri , Yulianti Tien
Published: December 2024

SMP Negeri 13 Bandar Lampung merupakan Sekolah Menengah Pertama yang berada di Jalan Marga No.57, Beringin Raya Kec. Kemiling, Kota Bandar Lampung. Proses pembelajaran PJOK yang diterapkan oleh SMP Negeri 13 Bandar Lampung saat ini masih menggunakan metode konvensional. Proses pembelajaran yang disampaikan guru menggunakan buku paket yang dibagikan saat proses belajar di kelas sehingga siswa kesulitan memahami isi materi pembelajaran terutama tentang materi teknik bola voli. Tujuan dari penelitian ini yaitu merancang aplikasi untuk memudahkan siswa SMPN 13 Bandar Lampung dalam mempelajari materi teknik permainan bola voli. Metode pengembangan sistem menggunakan metode Multimedia Development Life Cycle (MDLC). Penelitian ini menghasilkan aplikasi media pembelajaran teknik bola voli menggunakan framework android studio yang dapat mempermudah siswa memahami materi teknik permainan bola voli melalui gambar dan video animasi. Aplikasi ini meningkatkan motivasi siswa melalui fitur animasi interaktif dan kuis evaluasi. Pengujian terhadap sistem menggunakan ISO 25010 dengan melibatkan 27 responden. Hasil pengujian menunjukkan nilai sebesar 91,73%. untuk aspek usability hal ini menunjukan bahwa kualitas perangkat lunak secara keseluruhan mempunyai skala sangat baik dan layak dipergunakan.
Tinjauan Sistematis Analisis Integrasi Etnosains dalam Pembelajaran IPA dan Dampaknya terhadap Kompetensi Era Modern dan Nilai-nilai Pancasila
Authors: Ismail Irfan Ananda , Weriza Jusmita , Mawardi Mawardi , Lufri Lufri , Usmeldi Usmeldi , Festiyed Festiyed , Handri Silvi
Published: December 2024

Integrasi etnosains dalam pembelajaran IPA merupakan pendekatan yang berpotensi meningkatkan kualitas pendidikan sains di Indonesia. Penelitian ini bertujuan menganalisis potensi dan tantangan integrasi etnosains, dampaknya terhadap kompetensi era modern, serta kesesuaiannya dengan nilai-nilai Pancasila. Metode tinjauan sistematis digunakan untuk menganalisis 24 artikel penelitian terkait. Hasil menunjukkan bahwa integrasi etnosains berpotensi menciptakan pembelajaran kontekstual, namun menghadapi tantangan dalam pengembangan profesional guru dan penyesuaian kurikulum. Dampak positif terlihat pada peningkatan hasil belajar (effect size 0.65-0.82), pemahaman konsep (0.58-0.75), kemampuan berpikir kritis (0.55-0.70), dan apresiasi budaya (0.60-0.72). Pendekatan ini juga selaras dengan nilai-nilai Pancasila, tercermin dalam pengembangan aspek spiritual (0.58-0.72), kemanusiaan (0.55-0.68), persatuan (0.62-0.75), kerakyatan (0.54-0.70), dan keadilan sosial (0.52-0.65). Model pembelajaran STEAM, inkuiri, discovery, dan berbasis masalah/proyek terbukti efektif dalam implementasi. Disimpulkan bahwa integrasi etnosains merupakan strategi menjanjikan untuk mempersiapkan generasi muda Indonesia menghadapi tantangan era modern dengan tetap memperkuat identitas dan karakter bangsa.
Klasifikasi Penyakit Pada Baglog Jamur Tiram Menggunakan Metode Convolutional Neural Network
Authors: Christnatalis Christnatalis , Sozaro Lase Christoper Darius , Sitompul Toga Hasudungan , Hondro Anugrah Prasakti
Published: December 2024

Penelitian ini membahas permasalahan penyakit yang menyerang baglog jamur tiram, yang dapat menyebabkan penurunan kualitas dan kuantitas hasil panen. Tujuan utama penelitian ini adalah mengembangkan sistem klasifikasi penyakit pada baglog jamur tiram menggunakan algoritma Convolutional Neural Network , sehingga memungkinkan deteksi penyakit secara cepat dan akurat. Dataset gambar baglog jamur tiram yang terkena penyakit dibagi menjadi 80% untuk data training dan 20% untuk data validation. Teknik transfer learning diterapkan untuk memanfaatkan fitur-fitur dari model pra-terlatih guna meningkatkan efisiensi pelatihan dan akurasi prediksi. Transfer learning adalah teknik dalam machine learning di mana model yang telah dilatih pada satu tugas digunakan kembali sebagai titik awal untuk tugas lain yang serupa. Proses pelatihan model dilakukan sebanyak 5 kali percobaan, masing-masing dengan 25 epoch dan mendapatkan model terbai di epoch ke 8 . Melakukan beberapa percobaan dengan berbagai konfigurasi dan mengulangi proses pelatihan beberapa kali membantu memastikan bahwa hasil yang diperoleh stabil dan tidak disebabkan oleh kebetulan. Hasil penelitian menunjukkan bahwa model yang dikembangkan memiliki kinerja yang sangat baik dan konsisten, dengan akurasi validation yang stabil sebesar 97.14% dan nilai loss pada validation sebesar 0.0893. Akurasi validation menunjukkan persentase prediksi yang benar pada data validation, sementara nilai loss mengindikasikan seberapa baik model meminimalkan kesalahan prediksi.
Diagnosa Jenis Mata Katarak Menggunakan Convolutional Neural Network
Authors: Pratama Jordan Putra , Simangunsong Andri Daniel Martua , Siregar Saut Dohot
Published: December 2024

Penelitian ini berfokus pada pengembangan model Convolutional Neural Network (CNN) untuk mendiagnosa jenis katarak mata secara otomatis dan akurat. Data yang digunakan dalam penelitian ini dibagi menjadi dua bagian, yaitu 80% untuk pelatihan dan 20% untuk validasi. Model CNN dilatih menggunakan teknik augmentasi data untuk meningkatkan kinerja dan generalisasi. Setelah melalui proses pelatihan yang intensif, model menunjukkan kinerja yang sangat baik, dengan akurasi mencapai 98% pada data pelatihan dan 99% pada data validasi. Selain itu, hasil evaluasi menunjukkan bahwa model memiliki precision, recall, dan F1-score yang sangat tinggi. Untuk kelas mature dilabeli numerik 0 dengan precision adalah 0.99, recall 0.99 dan F1-score 1.00. Untuk kelas immature dilabeli numerik 1 dengan precision adalah 1.00, recall 0.99 dan F1-score 0.99. Hasil ini menegaskan bahwa model memiliki kemampuan kuat dalam mendiagnosa jenis penyakit mata karatak. Keberhasilan model menunjukkan potensinya untuk digunakan sebagai alat bantu diagnosis katarak dalam praktik klinis, memungkinkan deteksi yang lebih cepat dan akurat. Model juga dapat membantu mengurangi beban kerja dokter mata dengan menyediakan diagnosis awal yang dapat diandalkan. Namun, untuk memastikan keandalan dan generalisasi model dalam berbagai situasi klinis, diperlukan uji coba tambahan dengan dataset yang lebih besar dan beragam. Penelitian memberikan landasan penting untuk pengembangan lebih lanjut dalam sistem diagnostik berbasis kecerdasan buatan (AI) yang dapat meningkatkan kualitas perawatan mata dan mempercepat proses diagnosa.
Deteksi Ginjal Berdasarkan Citra CT Scan Dengan Algoritma Convolution Neural Network
Authors: Lubis Daniel , J. Sihombing Indah Rosita , Manihuruk Hotmaida Br , Situmorang Benjamin , Simarmata Alwin M
Published: December 2024

Penyakit ginjal merupakan masalah kesehatan serius yang memerlukan deteksi dini untuk meningkatkan peluang penyembuhan. Salah satu tantangan utama dalam mendeteksi kista ginjal adalah mencapai akurasi tinggi dalam klasifikasi gambar CT-Scan dengan algoritma Convolutional Neural Network (CNN), di mana metode konvensional sering kali menunjukkan hasil yang tidak konsisten. Penelitian ini bertujuan untuk mengklasifikasikan kinerja algoritma deep learning, terutama convolutional neural network dalam mendeteksi kista ginjal berdasarkan citra CT-Scan. Solusi yang diusulkan mencakup proses preprocessing yang teliti, meliputi resizing gambar, augmentasi data, segmentasi, dan ekstraksi fitur penting untuk memastikan kualitas input ke model. Dataset yang digunakan terdiri dari gambar CT-Scan dengan empat kelas, yaitu Normal, Cyst Tumor, Stone. Model yang dikembangkan berhasil mencapai akurasi 0,9494, akurasi validasi 0.9507, loss 0,1510 dan loss validasi 0,1270 pada epoch-19, menunjukkan peningkatan signifikan dibandingkan penelitian sebelumnya dengan metode serupa. Penelitian ini menunjukkan bahwa metode CNN dapat diadaptasi untuk aplikasi klinis yang lebih luas dan mendukung dokter dalam diagnosis kista ginjal secara lebih akurat dan tepat. Untuk penelitian selanjutnya, disarankan untuk mengeksplorasi teknik preprocessing yang lebih canggih serta pengujian dengan dataset yang lebih beragam untuk meningkatkan generalisasi dan keandalan model. Dengan hasil ini, algoritma CNN terbukti sebagai solusi potensial yang patut dipertimbangkan dalam deteksi kista ginjal.
Analisis Clustering Untuk Segmentasi Wilayah Berdasarkan Karakteristik PBB di Kabupaten Sragen
Authors: Primadeni Febriaji , Ichsan Pradana Afu , Purwanto Eko
Published: December 2024

Penelitian ini menganalisis karakteristik Pajak Bumi dan Bangunan (PBB) di Kabupaten Sragen menggunakan metode clustering K-means untuk mengoptimalkan pengelolaan pajak daerah. Analisis dilakukan terhadap dataset yang mencakup 1,5 juta item data PBB periode 2021-2023 dari 196 desa. Variabel yang digunakan meliputi luas bumi, nilai objek pajak, realisasi pembayaran, dan status administrasi pajak. Hasil penelitian menunjukkan pembentukan empat cluster dengan karakteristik berbeda: cluster urban premium (NJOP tinggi, luas lahan kecil), cluster permukiman menengah (NJOP moderat, luas sedang), cluster sub-urban (NJOP rendah, luas besar), dan cluster rural (NJOP terendah, luas terbesar). Analisis korelasi mengungkapkan hubungan positif kuat antara NJOP bangunan dengan PBB (r=0,98) dan hubungan negatif antara luas bumi dengan NJOP (r=-0,39), mengindikasikan fenomena densifikasi di pusat kabupaten. Pola distribusi desa dalam cluster mengalami perubahan signifikan selama periode penelitian, mencerminkan dinamika produktivitas dan efisiensi pengelolaan PBB. Hasil clustering ini memberikan dasar untuk pengembangan strategi pengelolaan PBB yang lebih terarah dan efektif sesuai karakteristik wilayah.
Siri Na Pacce: Menjembatani Jurang Komunikasi Generasi Z Dengan Pemanfaatan Socio-Cultural Morfology
Authors: Rasmiati Rasmiati , Idris Idris , Muhammad Irfan Taufan Asfar Andi , Muhamad Iqbal Akbar Andi , Ilham Rivaldi Andi , Mutmainna Mutmainna
Published: December 2024

Kehidupan masyarakat Bugis kaya akan kearifan lokal yang perlu terus dilestarikan secara turun temurun, salah satunya adalah kearifan lokal siri' na pacce. Siri' na pacce dikenal sebagai tombak kehidupan masyarakat Bugis yang mencerminkan filosofi hidup dalam artian menjaga harga diri dan pendirian masyarakat. Akan tetapi, kearifan lokal siri' na pacce mulai tergerus oleh modernisasi. Padahal, siri’ na pacce banyak mengajarkan pentingnya beretika dan berperilaku dalam kehidupan sehari-hari, terutama dalam berucap atau berbahasa. Oleh karena itu, penelitian ini bertujuan untuk mengetahui peningkatan melalui socio-cultural morphology diharapkan dapat menciptakan perilaku siswa yang lebih baik dengan berorientasi pada behavioral outcomes dengan dukungan nilai-nilai filosofi pada kearifan lokal siri’ na pacce, sehingga dapat meningkatkan communication skills siswa. Metode penelitian yang digunakan, yaitu metode quasi eksperimental tipe non-equivalent control group design. Penelitian ini dilaksanakan di SMA Negeri 11 Bone dengan sampel penelitian yang terdiri dari dua kelas, yaitu kelas X IPS 2 sebagai kelas kontrol dan kelas X IPS 3 sebagai kelas eksperimen. Teknik pengumpulan data dalam penelitian ini meliputi observasi, tes dan kuesioner. Berdasarkan hasil penelitian menunjukkan bahwa terdapat peningkatan yang signifikan pada kelas eksperimen dengan nilai gain sebesar 0,83 atau 83%.
Pengembangan Sistem Informasi Berbasis Web untuk Meningkatkan Efisiensi Layanan TOEFL di Universitas Nahdlatul Ulama NTB
Authors: Samsudin Angga Radlisa , Tamrin Mohamad , Rahman Fazlul , Sunardi Sunardi , Aburrafikin Muhammad
Published: December 2024

Pemanfaatan teknologi informasi di sektor pendidikan telah menjadi faktor kunci dalam meningkatkan kualitas layanan dan efisiensi operasional. Penelitian ini bertujuan untuk mengembangkan sistem informasi berbasis web yang dapat meningkatkan efisiensi, transparansi, dan akurasi dalam layanan TOEFL di Universitas Nahdlatul Ulama NTB. Tujuan utama dari sistem ini adalah untuk mengatasi berbagai masalah yang sering muncul dalam pengelolaan layanan TOEFL, seperti proses manual yang memakan waktu, transparansi yang terbatas, dan potensi terjadinya human error. Dalam pengembangan sistem, metode waterfall dan pendekatan berorientasi objek digunakan untuk merancang dan mengimplementasikan solusi yang efisien dan terstruktur.Fitur utama dari sistem ini meliputi pendaftaran daring, pelacakan status pendaftaran secara real-time, serta akses yang mudah bagi pengguna untuk melihat hasil tes. Selain itu, sistem dilengkapi dengan modul pelaporan yang memfasilitasi evaluasi kinerja. Hasil pengujian menunjukkan bahwa penerapan sistem informasi berbasis web ini berhasil meningkatkan efisiensi layanan dengan mengurangi waktu pendaftaran hingga 40% dan mengurangi tingkat kesalahan manual sebanyak 25%. Proses validasi otomatis yang dilakukan dalam sistem mengurangi kemungkinan kesalahan manusia dan meningkatkan akurasi penilaian.Implementasi sistem ini tidak hanya menghemat waktu dan biaya, tetapi juga menyediakan data yang lebih tepat untuk pengambilan keputusan. Pengguna dapat melakukan registrasi mandiri, memantau status mereka, dan menerima notifikasi otomatis terkait hasil tes. Penelitian ini menunjukkan bahwa penerapan teknologi informasi dalam layanan pendidikan dapat memberikan dampak yang besar terhadap peningkatan kualitas layanan dan kepuasan pengguna, sehingga sistem ini menjadi solusi inovatif yang mengintegrasikan seluruh proses layanan TOEFL dan meningkatkan pengalaman pengguna.