bluuebunny/crossref_metadata_2025 huggingface dataset:
Kemampuan komunikasi matematis dan self-confidence siswa pada materi sistem persamaan linear tiga variabel di desa sukaresmi
Authors: Hapsoh  , Sofyan Deddy
Published: July 2024

In reality, mathematical communication skills and lack of trust in students in Indonesia are still relatively low. Indications of low mathematical communication skills are seen from the results of a survey conducted by the OECD that shows that students' ability in mathematics learning is at a low level. Indications of weak self-confidence in learners are when students lack confidence when asked to express their opinions on the concept of normality discussed. The purpose of the researcher is to know the mathematical communication skills and self-confidence of students in the material of the three-variable linear equation system. This study was conducted on high school students in the Sukaresmi area with 6 students sampled. The findings in this study include the mathematical communication skills of each student in the SPLTV materials, including students with low, medium, and high mathematical communication skills. Furthermore, the achievement of self-confidence in students can also be seen from the level of interpretation obtained by students, namely moderate and high. Students with high self-confidence interpretation tend not to understand the advantages or disadvantages that they have, while students with self-confidence interpretation who are not confident in their own abilities, are anxious in solving problems, feel depressed and tend to be irresponsible.
Pada kenyataannya kemampuan komunikasi matematis dan kurangnya rasa percaya pada peserta didik di Indonesia masih tergolong rendah. Indikasi rendahnya kemampuan komunikasi matematis dilihat dari hasil survei yang dilakukan oleh OECD yang menunjukan bahwa kemampuan siswa dalam pembelajaran matematika berada pada level yang rendah. Indikasi lemahnya self-confidence peserta didik adalah saat peserta didik kurang percaya diri ketika diminta untuk mengemukakan pendapatnya mengenai konsep kematematikaan yang dibahas. Adapun tujuan dari penelitian tersebut yaitu untuk mengetahui kemampuan komunikasi matematis dan self-confidence siswa pada materi sistem persamaan linear tiga variabel. Penelitian ini dilakukan pada siswa tingkat SMA/Sederjat di daerah Sukaresmi dengan 6 orang siswa yang dijadikan sampel. Hasil temuan dalam penelitian ini diantaranya kemampuan komunikasi matematis setiap siswa pada materi SPLTV berbeda-beda, diantaranya siswa dengan kemampuan komunikasi matematis rendah, sedang, dan tinggi. Selanjutnya pencapaian self-confidence pada siswa juga dapat dilihat dari tingkat interpretasi yang diperoleh oleh siswa yaitu sedang dan tinggi. Siswa dengan interpretasi self-confidence yang tinggi cenderung tidak memahami kelebihan maupun kekurangan yang dimilikinya, sedangkan siswa dengan interpretasi self-confidence yang sedang kurang percaya pada kemampuan dirinya sendiri, cemas dalam menyelesaikan permasalahan, merasa tertekan serta cenderung tidak bertanggung jawab.
Kemampuan berpikir kreatif matematis siswa kelas viii smp pada materi geometri
Authors: Nurhanifah Nova
Published: July 2024

The ability to think creatively is a very important ability that everyone has. In everyday life, everyone is always faced with problems that must be solved and require the ability to think creatively to find solutions to the problems at hand. Therefore, the ability to think creatively needs to be formed and developed in school, one of which is through learning mathematics. The ability to think creatively is the ability to find various kinds of new solutions to a mathematical problem in an easy, flexible, and acceptable way. Therefore, this study examines how the mathematical creative thinking ability VIII in one of the Junior High Schools (SMP) in Garut Regency, West Java, Indonesia. The indicators of mathematical creative thinking ability used are display (fluency), flexibility (flexibility), originality (originality), and elaboration (elaboration). This research was conducted on 5 students using a qualitative descriptive method. Data collection techniques in this study is through interview tests. The test used in this study is a mathematical creative thinking ability test in the form of triangle and quadrilateral material test questions that are adjusted to the indicators of mathematical creative thinking ability. While interviews with students as leverage from the results of the tests given by researchers. The results showed that the mathematical creative thinking ability in the school was still low.
Kemampuan berpikir kreatif merupakan kemampuan yang sangat penting dimiliki setiap orang. Dalam kehidupan sehari-hari setiap orang selalu dihadapkan dengan masalah yang harus dipecahkan dan menuntut kemampuan berpikir kreatif untuk menemukan solusi dari permasalahan yang dihadapi. Maka dari itu kemampuan berpikir kreatif perlu dibentuk dan dikembangkan sejak sekolah, salah satunya melalui pembelajaran matematika. Kemampuan berpikir kreatif matematis adalah kemampuan menemukan berbagai macam solusi yang bersifat baru terhadap suatu masalah matematika secara mudah, fleksibel dan dapat diterima kebenarannya. Oleh karena itu, penelitian ini mengkaji bagaimana kemampuan berpikir kreatif matematis siswa kelas VIII di salah satu Sekolah Menengah Pertama (SMP) di Kabupaten Garut, Jawa Barat, Indonesia. Indikator kemampuan berpikir kreatif matematis yang digunakan yaitu kelancaran (fluency), kelenturan (flexibility), keaslian (originality), dan elaborasi (elaboration). Penelitian ini dilakukan terhadap 5 orang siswa dengan menggunakan metode deskriptif kualitatif. Teknik pengumpulan data pada penelitian ini yaitu melalui tes wawancara. Tes yang digunakan dalam penelitian ini adalah tes kemampuan berpikir kreatif matematik berupa soal tes materi segitiga dan segiempat yang disesuaikan dengan indikator kemampuan berpikir kreatif matematik. Sedangkan wawancara kepada siswa sebagai verifikasi dari hasil pengerjaan tes yang diberikan peneliti. Hasil penelitian menunjukkan kemampuan berpikir kreatif matematis di sekolah tersebut masih rendah.
Uji keterbacaan buku ajar matematika dasar untuk mahasiswa program studi pendidikan fisika
Authors: Nissa Ita Chairun , Febrilia Baiq Rika Ayu , Pangga Dwi
Published: July 2024

One of the requirements that must be done in developing a textbook is a readability test. Readability is all the elements in the textbook that affect the success of the reader in understanding the material he reads at an optimal reading speed. The readability test aims to determine whether the use of sentences/language, presentation of material, layout, and interaction between texts in textbooks can be used by students to understand the materials in it. It is important to do a readability test to minimize errors that can cause misunderstandings between the author's intent and the reader's understanding. The readability test in this study was carried out through a survey method by distributing questionnaires to 15 students of the physics education study program who were taking basic mathematics courses. The results showed that the level of readability of basic mathematics textbooks for physics was at high criteria in the aspect of convenience (67.5%), attractiveness (65.5%), and understanding (67.5%). Although the readability test showed a high score, there are several things that still need to be improved, namely the appearance of the textbook (book cover and illustrations) and the writing style that must be made more varied and able to attract the interest of the reader.
Salah satu persyaratan yang harus dilakukan dalam pengembangan suatu buku ajar adalah uji keterbacaan. Keterbacaan adalah seluruh unsur yang ada dalam buku ajar yang berpengaruh terhadap keberhasilan pembaca dalam memahami materi yang dibacanya pada kecepatan membaca yang optimal. Uji keterbacaan bertujuan untuk mengetahui apakah penggunaan kalimat/bahasa, penyajian materi, tata letak dan interaksi antarteks dalam buku ajar dapat digunakan mahasiswa untuk memahami materi-materi yang ada di dalamnya. Uji keterbacaan penting dilakukan untuk meminimalisasi kesalahan yang dapat menyebabkan kesalahpahaman antara maksud penulis dengan pemahaman pembaca. Uji keterbacaan dalam penelitian ini dilakukan melalui metode survei dengan membagikan kuesioner kepada 15 mahasiswa program studi pendidikan fisika yang sedang menempuh mata kuliah matematika dasar. Hasil penelitian menunjukkan bahwa tingkat keterbacaan buku ajar matematika dasar untuk fisika berada pada kriteria tinggi pada aspek kemudahan (67,5%), aspek kemenarikan (65,5%) dan aspek keterpahaman (67,5%). Walaupun uji keterbacaan menunjukkan nilai yang tinggi, namun ada beberapa hal yang masih perlu ditingkatkan lagi kualitasnya yaitu tampilan buku ajar (cover dan ilustrasi) dan gaya tulisan yang harus dibuat lebih variatif dan mampu menarik minat pembaca.
Image Style Transfer Algorithm Based on Variational Autoencoder
Authors: Xiang Guishan , Ding Jianhao , Liu Dongjing , Lin Huaizhong , Chen Lixia
Published: July 2024

The existing image style transfer algorithms can only handle a limited number of styles. In some common application scenarios, large-scale image style transfer is required to generate differentiated images, and a limited number of styles are clearly not sufficient to cope with such scenarios. In response to the above issues, this chapter proposes a style transfer algorithm based on variational auto-encoder. This algorithm encodes the styles in the training set into a high-dimensional continuous space, randomly sampling a point from this space to obtain a style encoding. Based on content information, the encoded and decoded images can be stylized. Because the space where style encoding is located is continuous, the number of styles is infinite. This article conducted comparative experiments and style sampling experiments on the COCO and WikiArt datasets. The experimental results showed that the VST algorithm has the ability to sample styles, fix content, and quickly synthesize high-quality images for style sampling; In addition, when the synthesis effect is similar, the synthesis speed of VST is 50 times that of GST.
Research on Fast Extraction of Soccer Robot Movement Trajectories Based on Improved Low-Rank Trajectory Recovery
Authors: Zhang Meiheng
Published: July 2024

This paper presents a computer-assisted rapid trajectory extraction technique for soccer robots’ global vision system, focusing on Low-Rank Trajectory Recovery (LRTR). This system is crucial for providing robot posture data, enhancing decision-making, robot trajectories, and maneuver strategies. Given the competition rules demanding quick onsite vision system setup and adjustment, this method offers a speedy and accurate extracction process. It aims to refine trajectory tracking precision in high-level soccer matches, especially by processing varied noisy images in real scenarios. The study delves into theoretical and practical aspects, highlighting its effectiveness in minimizing extraction errors amid the unpredictability of robot movement in competitions. Utilizing robust subspace learning within LRTR significantly enhances tracking accuracy, object recognition, and scene understanding. The innovative trajectory feature extraction method evaluated here shows considerable promise in efficacy and adaptability. The findings advance computer vision system development and improve trajectory interpretation for diverse applications, including sports tracking and autonomous systems. When compared to other algorithms, this method stands out for its extraction precision and efficiency in robot operation, achieving an impressive extraction accuracy of ±2.67 mm without specialized targets, showcasing superior performance.
Research on Medical Ultrasound Image Information Extraction Model Based on Riesz Transform
Authors: Lv Pengju
Published: July 2024

Edge detection can greatly reduce the amount of data of the original image, eliminate many meaningless information, and retain the important structural attributes of the image. It is an important basis in the field of image analysis, such as image segmentation, region shape extraction, target detection and so on. It is also an important attribute of feature extraction in image recognition. Image edge detection based on Riesz transform is a new method of image edge detection, which has the characteristics of multi-resolution and multi-scale. In order to solve the problem of poor detection performance of traditional medical images under illumination changes, this paper proposes a medical ultrasound image information extraction model based on Riesz transform. In this paper, Riesz transform is used to replace the traditional Hilbert transform to process the image. The model uses different scale factors of Riesz transform to construct a transform space specially used to calculate phase consistency, and successfully obtains the feature image. The non-maximum suppression technique is used to detect the edge information of the image. The experimental results show that the model can effectively and quickly identify and retain the edge features in the image while suppressing the non-edge region response under uneven illumination.
Toward Moire-Free Video: A Multi-Scale Feature Alignment and Removal Network
Authors: Lin Huhu , Liu Qian , Liu Siwen
Published: July 2024

The widespread adoption of portable photography devices, such as smartphones, has led to an increased occurrence of moire patterns on camera screens, which significantly degrades the quality of visual perception. While most research has focused on the removal of moire patterns in images, video moire removal has not been well investigated. This paper focus on the removal of moire patterns in videos and propose a two-stage video moire removal network. The first stage aligns the information between adjacent frames through a multi-scale frame alignment network, accomplishing the temporal aggregation of information. The second stage is the moire removal net-work, which restores the contaminated areas from both texture and color perspectives. A novel dataset construction method is introduced, allowing for precise alignment between moire-affected images and reference images by capturing pure white background images to extract moire patterns. Extensive experiments on the TCL-V1 dataset and the new dataset demonstrate the effectiveness of the proposed scheme compared with state-of-the-art results in video moire removal.
Swin Transformer Based on Image Enhancement Algorithm
Authors: Chen Liwei , Ailimujiang Gulinazi , Zhao Zhichuang
Published: July 2024

In the field of plant taxonomy, species often exhibit high levels of similarity in morphological features, color expression, and surface textures, while also containing rich and complex detail information. These characteristics pose significant challenges in the identification and classification process. Traditional machine learning cannot extract features comprehensively and accurately. This study leverages the Swin Transformer combined with image enhancement algorithms for plant image classification. On one hand, it benefits from enlarging the inter-class distance to improve classification accuracy; on the other hand, it addresses the issue of high computational complexity in large-scale plant image processing. By integrating the Swin Transformer with advanced image enhancement techniques in the task of plant image classification, a significant performance improvement has been achieved. Compared to using the Swin Transformer method alone, this integrated strategy has shown superior results, achieving an accuracy of 89.03% in plant classification tasks. This paper focuses on the plant image classification process based on the Swin Transformer with image enhancement algorithms.
Optimization and FPGA Implementation of RANSAC Algorithm Based on HLS
Authors: Lian Chenglong , Xue Yanbing , Li Xiaojie , Hu Panshi , Feng Chong
Published: July 2024

With the rapid development of artificial intelligence technology, research on autonomous driving technology is becoming increasingly popular. In the autonomous driving panoramic imaging system, it is necessary to use image stitching technology to perform real-time stitching of image information collected by multiple cameras around the vehicle body. Therefore, requirements for image data processing include large data volume, high speed, and low power consumption. The parallel computing characteristics of Field Programmable Gate Array (FPGA) can accelerate key image stitching algorithms. This article focuses on hardware acceleration of the RANSAC (Random Sample Consensus) algorithm in image stitching. The algorithm is designed in parallel using high-level synthesis (HLS) technology and optimized accordingly to find a suitable method for algorithm optimization. Comparing the FPGA algorithm circuit with the Open CV algorithm program, the hardware running time of the algorithm is only 2.816ms, and the processing speed is 38 times faster than the latter. The RANSAC algorithm implemented by FPGA meets the requirements of real-time image processing and can be applied in real-time image stitching systems.
Improve DBO Optimization Algorithm to Realize the Maximum Power Point Tracking of the Photovoltaic System
Authors: Wang Ning , Dong Weiguang
Published: July 2024

To improve the conversion efficiency of the photovoltaic power generation system, a proposed method of tracking the maximum power point of the photovoltaic array based on the improved mantis algorithm is introduced due to the local shading of the photovoltaic array presenting multiple peak characteristics in the P-U characteristic curve. The tracking efficiency of the traditional maximum power point tracking (MPPT) algorithm is observed to be low under these circumstances. The superiority of the improved Mantis (IMSDBO) algorithm over the standard dung beetle algorithm (DBO), sparrow search algorithm (SSA), and other algorithms is established through a comparative analysis. Subsequently, a maximum power tracking model for the photovoltaic system is developed using the dung beetle optimization algorithm. The effectiveness of the proposed algorithm is then demonstrated by constructing the model on Matlab2018b and comparing it with the particle swarm (PSO) algorithm and the cuckoo algorithm. The experimental results confirm that the proposed MPPT control algorithm exhibits enhanced global optimization capabilities in scenarios involving both local shading and light mutation. Furthermore, it is found to be faster, more accurate, and possess higher stability when compared to the traditional perturbation observation method.
Research on Harmonic Suppression Strategy for Output of Photovoltaic Power Inverter
Authors: Hao Linzhao , Li Huahai , Peng Shaowen , Liang Junwei , Huang Yujun
Published: July 2024

With the development of new energy technologies, photovoltaic power generation has become one of the main ways of clean energy generation in the future. As one of the most important components in photovoltaic power generation systems, photovoltaic inverters generate a large number of harmonics in their output voltage and current due to their high operating frequency and mismatched system characteristic impedance. The harmonics will affect the quality of grid connected power and the safe operation of photovoltaic inverters. This article conducts in-depth research on this problem, analyzes the reasons for the generation of harmonics in photovoltaic power generation, and analyzes the existing filters at the output end of inverters to identify their shortcomings. A new type of LLCL filter is designed to suppress the harmonics output of inverters. Finally, by establishing a mathematical model and a simulation model on the MATLAB/Simulink platform for comparative analysis, the results show that the new LLCL filter has the best filtering effect, ensuring its output power quality.
Research on Network Crime Prediction Based on Improved PSO-BP Neural Network Algorithm
Authors: Song Dawei
Published: July 2024

This research addresses the challenge of effectively predicting network crimes by introducing an enhanced model combining Particle Swarm Optimization (PSO) with Back Propagation (BP) neural networks. Traditional BP networks often suffer from local optima and sensitivity to initial weights. To mitigate these issues, we integrate PSO for a global search of network weights. Furthermore, we refine the weights and thresholds discovered by PSO through BP’s weight updating mechanism. Our study employs theft crime data from Chicago, USA spanning from 20121 to 2023, alongside factors like total population, median house prices, and undergraduate rates, to construct a comprehensive predictive model. Comparative experiments are conducted on both traditional BP models and the proposed enhanced PSO-BP model. Results demonstrate a significant improvement, reducing the relative error from 4.33% to 1.368%. Thus, the enhanced PSO-BP neural network model proves its efficacy in overcoming BP’s limitations, providing more accurate predictions of network crimes.
Research on Painting Style Transfer Algorithm Based on Non-Negative Matrix Factorization
Authors: Yuan Xupeng
Published: July 2024

With the ongoing evolution of deep learning algorithms, the advent of convolutional neural networks and generative adversarial networks has propelled rapid progress in the study of painting style transfer. This paper proposes a computer-assisted intelligent style transfer algorithm for modern paintings, focusing on the Non-Negative Matrix Factorization (NMF) approach. The investigation is centered on its application in modern painting style transfer, specifically addressing the challenges posed by the characteristics of stylistic and thematic content extraction in real paintings. The paper thoroughly examines both the theoretical foundations and practical implementation of the proposed method, highlighting its ability to extract authentic and significant style and content features of the give paintings. Through the utilization of NMF, the objective is to capture the global features of paintings is crucial. The edge feature extraction network can extract the edges of the original painting and input them into the network alongside the original painting. This process helps in obtaining richer detail information, leading to better perceptual results. Experimental results indicate that the proposed algorithm outperforms several existing models in terms of IS and FID indices. This suggests the superiority of the constructed model in style transfer, as it can better retain the detailed information of the original painting, leading to a more favorable subjective visual perception effect.
A Scene-Aware Augmented Reality Recommendation System
Authors: Li Hua , Liu Xutian , Rashidi Salim Suedi
Published: July 2024

Augmented Reality (AR) technology offers users an unparalleled immersive interaction experience. In indoor scenarios devoid of GPS, AR-based recommendation technologies have yet to achieve effective real-time application. This paper introduces a scene-aware AR recommendation system that integrates cutting-edge instance segmentation and feature point matching technologies, alongside a versatile recommendation algorithm, to provide highly personalized AR content recommendations closely linked to the user’s immediate environment. Initially, the system utilizes an enhanced Mask R-CNN model for precise scene segmentation, followed by the extraction of key feature points combined with real-time scene information to devise an efficient recommendation algorithm. Experimental validation in real-world scenarios has demonstrated the system’s effectiveness in improving the accuracy of AR content recommendations and enhancing user satisfaction within indoor environments. Notably, the recommendation accuracy exceeds 80%, signifying a substantial advancement in AR technologies. This research demonstrates potential to profoundly enhance user interaction and satisfaction by providing more accurate and contextually relevant content recommendations in GPS-limited indoor environments.
Design and Implementation of User Authentication Mechanism for Vehicle-to-Everything Based on FPGA
Authors: Yu Changrong , Zhang Xuxiu
Published: July 2024

Aiming at the problem that the current vehicle communication authentication mechanism lacks hardware verification, this paper proposes a new Vehicle-to-Everything(V2X) user authentication mechanism based on FPGA (Field Programmable Gate Array), aiming at improving the safety and reliability of vehicle communication. The mechanism adopts One-Time Password (OTP), Elliptic curve cryptography (ECC) and Secure Hash Algorithm 2 (SHA-2) to realize a highly secure authentication process, and the above algorithms are implemented in FPGA. Compared with the security and resource cost of using a single cryptography mechanism, this paper is effective in authentication, collision resistance, replay attack, man-in-the-middle attack and identity forgery attack, and completes information encryption processing in microsecond level, which improves the performance and reduces the resource occupation, which proves the security and effectiveness of the proposed method in the case of vehicle-mounted equipment with limited resources.
Detection of Plant Leaf Diseases Using Internet of Things and Machine Learning Based Drone System
Authors: Choudhary Swapna , Dhote Nitin , Kolhe Mohan Lal
Published: July 2024

With rapid improvement in technology, drones become one of the best fit for agriculture due to their various applications such as spraying pesticides and supervising the yield area of farms. A drone-based system can help in detecting the diseases before they spread to the whole farm. The use of the technology will improve the efficiency of the farming sector. The system is designed using the Internet of Things (IoT) with the help of the ESP32 Cam board, Machine Learning (ML) algorithm, and Google Workspace. ESP-32 Cam module captures the images of plants. Google Drive is used to store captured images. The machine learning algorithm is used to extract features from images and detect possible plant diseases. Workspace is used to create an API that gives G-Drive access to the ML algorithm. The system not only saves human work but also helps in increasing the quality of yield.
Uji Efektivitas Pemanfaatan Biji Pepaya (Carica Papaya L) Kering Dan Basah Sebagai Larvasida Alami Cair Untuk Mematikan Larva Aedes Aegypti
Authors: Rachman Erwinda Alwi , Juherah Juherah , Ismawati Ismawati
Published: July 2024

Demam berdarah dengue (DBD) adalah penyakit infeksi di daerah tropis yang disebabkan oleh virus dengue dan ditularkan oleh nyamuk Aedes aegypti. Salah satu tumbuhan yang dapat digunakan sebagai larvasida alami adalah biji papaya (Carica papaya L). Pada penelitian ini biji papaya yang digunakan adalah biji pepaya yang basah dan kering senyawa yang terkandung pada biji papaya yaitu dapat bersifat toksik pada larva seperti senyawa Alkaloid, Flavonoid, Saponin dan Tanin yang dapat menghambat pertumbuhan larva Aedes aegypti. Penelitian ini bersifat eksperimen semu (Quasi Eksperimental) dengan tujuan untuk mengetahui efektivitas larutan biji pepaya (Carica Papaya L) kering dan basah dengan menggunakan kontrol serta dosis 20 ml, 30 ml, 40 ml, 50 ml, 60 ml / Liter yang di paparkan pada 20 larva Aedes aegypti pada masing-masing dosis dengan pengamatan setiap 60 menit selama 24 jam, replikasi dilakukan sebanyak 3 kali.  Hasil Penelitian menunjukkan rata-rata kematian larva Aedes aegypti pada larutan biji pepaya kering yaitu kontrol tidak ada yang mati (0%)  dosis 20 ml dapat mematikan (95%), 30 ml dapat mematikan (100%), 40 ml dapat mematikan (100%), 50 ml dapat mematikan (100%), 60 ml dapat mematikan (100%), sedangkan larutan biji pepaya basah yaitu kontrol tidak ada yang mati (0%)  dosis 20 ml dapat mematikan (100%), 30 ml dapat mematikan (100%), 40 ml dapat mematikan (100%), 50 ml dapat mematikan (100%), 60 ml dapat mematikan (100%).  Kesimpulan penelitian ini yaitu dosis 20 ml adalah dosis yang paling efektif sebagai larvasida alami cair untuk mematikan larva Aedes aegypti. Saran untuk masyarakat agar menggunakan biji pepaya yang basah sebagai larvasida dan untuk peneliti selanjutnya agar menggunakan kantong celup dan dosis yang digunakan bisa di turunkan dengan menggunakan biji pepaya basah
Kata kunci : Larva Aedes aegypti, Biji Pepaya (Carica Papaya L)
Sistem Pengelolaan Sampah Di TPA Malimpung Kabupaten Pinrang
Authors: Rafidah Rafidah , Masdayanti Masdayanti , Haidah Nur
Published: July 2024

Tempat Pemrosesan Akhir (TPA) Sampah adalah lokasi dimana semua sampah dikumpulkan secara aman agar tidak menyebabkan gangguan terhadap lingkungan. Kondisi dan pengelolaan TPA malimpung kurang baik. Lindih yang ada di TPA malimpung banyak yang merembes dan air lindih hanya di ditampung di kolam tidak diolah dengan baik agar tidak mecemari linkungan. Penelitian ini bertujuan untuk Untuk mengetahui sistem pengelolaan sampah di TPA Malimpung Kabupaten Pinrang. Penelitian ini bersifat observasional dengan menggunakan pendekatan deskriftif untuk mengetahui sistem pengelolaan sampah di TPA Malimpung Kabupaten Pinrang. Hasil penelitian ini menunjukkan bahwa Sarana dan prasarana yang ada di TPA malimpung yaitu terdapat fasilitas umum seperti: jalan masuk, kantor/pos jaga, saluran drainasee, pagar, dan papan nama. Fasilitas perlindungan seperti; lapisan kedap air, saluran pengumpul lindi, ventilasi gas, daerah penyangga, dan tanah penutup. Fasilitas penunjang seperti: jembatang timbang dan listrik . fasilitas operasional seperti alat berat Terdapat 2 ekskavator dan 1 bulldozer dan truk pengangkut sampah terdapat 15 unit. Dan fasilitas lainnya seperti :instalasi pengolahan air lindi dan sumur pantau. Rata-rata jumlah timbulan sampah yang masuk kedalam TPA selama 8 hari adalah 76,125 ton/hari. Adapun hasil kapasitas daya tampung yang TPA Malimpung yaitu 586.000 m³. Kepada pengelolah TPA menyediakan   sarana dan prasarana yang berupa faslitas air bersih agar petugas tidak menggunakan air kotor untuk keperluan seperti mandi dan mencuci kendaraan. Menyediakan Bengkel dan hanggar sehingga mempermudah apabila truk pengangkut sampah atau alat berat ada yang rusak.
4-H Livestock Judging: Activity 8, What's My Line?
Authors: Carr Chad , Crosswhite Justin , Jhonson Amanda
Published: July 2024

This document is an educational guide. It serves as a curriculum resource within the Florida 4-H program, specifically designed for teaching livestock judging to young people aged 11-18. The guide emphasizes the development of various life skills through judging activities, such as communication, decision making, and organizational skills, while also aiming to boost confidence and self-esteem among participants.
The document is intended for 4-H leaders and coaches, providing encouragement and guidance for those who may lack extensive background knowledge in animal science. It highlights the importance of animal science within the Florida 4-H educational framework and underscores the positive impact of livestock judging programs on youth development. The guide also aims to reassure and support potential leaders, emphasizing that successful programs can be led effectively without requiring advanced subject matter expertise. Original publication date November 1992.
Citrus BMP Implementation in Florida’s Gulf Citrus Production Area: Pesticides
Authors: Shukla Sanjay , Rouse R.E. , Shukla S.S. , Hanlon E.A. , Portier K. , Obreza T.A.
Published: July 2024

This document is about a survey conducted to quantify the implementation of pesticide Best Management Practices (BMPs) in the Gulf Coast Production Area (GCPA) citrus industry. The survey results revealed that most pesticide BMPs are widely adopted, with 13 out of 19 BMPs practiced on at least 80% of the surveyed area. This high adoption rate underscores the growers' awareness of the environmental and health impacts of pesticide use and their commitment to mitigating these effects. Key BMPs, such as targeted pesticide spraying, measures to reduce spray drift, regular equipment inspections, and proper storage practices, are extensively implemented. An informative BMP manual has been developed, and ongoing education and cost-share programs are recommended to support continuous improvement and adaptation to new regulations. Future surveys are suggested to monitor progress and effectiveness of these initiatives. First published Aug. 2010.
Citrus BMP Implementation in Florida's Gulf Citrus Production Area: Pesticides
Authors: Watson Jonathan A. , Wysocki Allen F. , Bucklin Ray A.
Published: July 2024

This paper explores the transformative role of technology in supply-chain management within the food industry, focusing on electronic devices, information technology, and green and sustainable technologies. We explore how electronic devices and information technology have revolutionized inventory tracking, quality monitoring, and supply chain coordination, resulting in enhanced efficiency and reduced waste. The paper also discusses emerging technologies like blockchain, artificial intelligence, and machine learning, highlighting their potential to revolutionize traceability, quality control, and personalized consumer experiences. Additionally, green, and sustainable technologies are explored, focusing on their role in transportation, packaging, and production practices. While acknowledging the benefits, the paper also discusses the limitations and challenges associated with these technologies, including cost considerations, interoperability issues, and environmental impacts.
Natural Area Weeds: Chinese Tallow (Sapium sebiferum L.)
Authors: Langeland K.A.
Published: July 2024

Florida's natural areas—a great source of pride and enjoyment to its citizens—provide recreation, protect biodiversity and fresh water supplies, buffer the harmful effects of storms, and significantly contribute to the economic well-being of the state (Jue et al. 2001). Natural areas are protected in over ten million acres (nonsubmerged) of state, federal, local and private managed conservation lands in Florida (http://fnai.org). Unfortunately, many of these natural areas can be adversely affected by invasive plant species. An estimated 25,000 plant species have been brought into Florida for use as agricultural crops or landscape plants. While only a small number of these have become invasive, those that do can adversely affect native plant communities by competing for space and resources, disrupting hydrologic and fire regimes, or hybridizing with native species. They must be managed for the protection of native communities in natural areas. Chinese tallow (Triadica sebifera (L.) Small is one of these invasive plant species. Document first published in Dec. 2002.
Pregnancy Diagnosis on Beef Cattle Today
Authors: Lopez Duarte Maria Camila , Waters Kalyn , Simmons Nick , Gonella Angela
Published: July 2024

This publication is directed to beef producers, farmworkers, and Extension agents with the purpose of providing information regarding current pregnancy diagnosis methods for beef cattle. Written by Maria Camila Lopez Duarte, Kalyn Waters, Nick Simmons, and Angela Gonella and published by the UF/IFAS Department of Animal Sciences, May 2024.
Handling Telephone Complaint Calls with Poise
Authors: Telg Ricky W.
Published: July 2024

This fact sheet discussed methods to handle complaint telephone calls. This is an educational guide for people who receive telephone calls and represent the Institute of Food and Agricultural Sciences (IFAS) and the University of Florida.
Site Selection
Authors: Futch Stephen H.
Published: July 2024

Site selection for citrus production involves multiple critical factors, with freeze susceptibility being paramount, particularly in Florida. Latitude generally correlates with warmer conditions, making southern locations preferable. Proximity to heat sources like large bodies of water and consideration of topography also influence site warmth during freezes. Soil quality is another major factor; well-drained, relatively fertile soils with sufficient clay and organic matter are ideal, though much of Florida's soil requires modification for optimal citrus growth. Water management is crucial due to issues with both excess water removal and irrigation needs, compounded by regulatory and quality concerns. Economic factors, including land value, taxes, and access to infrastructure, further impact site viability. A thorough assessment of these factors is essential to ensure long-term productivity and profitability in citrus cultivation. First published June, 1992.
Page Citrus Hybrid
Authors: Jackson L.K. , Futch Stephen H.
Published: July 2024

Cultivation, fruit and tree characteristics of Minneola tangelo and Clementine mandarin. Minneola is a grapefruit-tangerine hybrid, the cultivar was released in 1963 and came from a cross made in 1942 by Gardner and Bellows of the United States Department of Agriculture facility in Orlando.
Polyethylene Mulching for Early Vegetable Production in North Florida
Authors: Hochmuth George , Hochmuth Robert , Olson Stephen M.
Published: July 2024

Polyethylene mulch has been used commercially on vegetables since the early 1960s. Currently, polyethylene mulch is used on thousands of acres of vegetables in the United States. Florida leads in use with about 100,000 acres of mulched vegetables.
In Florida, the vast majority of mulch is used in southern Florida on tomatoes, peppers, eggplants, strawberries, and melons. In northern Florida, very little mulching was practiced until the late 1980s, except for tomatoes in the Quincy area and strawberries in Bradford County. Mulching practices have since steadily increased throughout the rest of North Florida on a wide range of vegetable crops, including watermelon, cantaloupe (muskmelon), tomato, cucumber, pepper, and eggplant. This document was first published in Oct. 1988.
Physical Greenhouse Design Considerations - Florida Greenhouse Vegetable Production Handbook, Vol 2
Authors: Bucklin R. A.
Published: July 2024

The greenhouse structure must be designed to withstand the loads that will be imposed on it during normal use. These include environmental loads such as wind, rain, and loads imposed by hanging baskets or by equipment mounted on the structure. For vegetable production, most greenhouse frames are not strong enough to perform double duty as a trellis support for vegetables. Therefore, it is best to erect a separate trellis system within the confines of the house for vegetables.
The National Greenhouse Manufacturers Association (NGMA) publishes a standard that gives guidance for the design of greenhouses. It is recommended that every greenhouse be constructed to meet NGMA standards. This document presents relevant information on the characteristics that an adequate greenhouse design must have. First published in 1999.
Other Design Information Resources - Florida Greenhouse Vegetable Production Handbook, Vol 2
Authors: Hochmuth George
Published: July 2024

There are many sources of information that can be very useful in the development of a profitable greenhouse vegetable production system. If there are greenhouses already being successfully operated in the area, it can be very helpful to talk directly with veteran local producers. The county Extension agent can help with information about who the active growers are and about local growers' associations. Established growers should have informed opinions about professional contractors that install greenhouses and about what works and what doesn't. First published Dec.1990.
Production of Greenhouse Tomatoes - Florida Greenhouse Vegetable Production Handbook, Vol 3
Authors: Hochmuth George , Hochmuth Robert
Published: July 2024

The tomato is a very popular crop for production in greenhouses. Tomatoes are relatively easy to grow compared to cucumbers and lettuce, and yields can be very high. Demand for tomatoes is usually strong because of the vine-ripe nature and general overall high level of eating quality.
Production of tomato is not without serious challenges, however. This chapter presents the production techniques specific to tomato. Techniques used with certain systems (bag, rockwool, or NFT) will be highlighted separately. The production information is presented as recommended procedures. Minor adjustments might be needed as individual growers require and as research indicates the need. Growers are encouraged to consult a knowledgeable expert prior to making adjustments. First published Dec. 1990.
Pesticide Provisions of the Florida Agricultural Worker Safety Act (FAWSA)
Authors: Fishel Fredrick M.
Published: July 2024

The purpose of this guide is to provide a summary of the pesticide provisions of the recently enacted Florida Agricultural Worker Safety Act (FAWSA) and the definitions that are used in its language. The pesticide provisions of FAWSA, which became effective on July 1, 2004, are designed to ensure that information is made available to farm workers about specific hazards associated with the use of agricultural pesticides. The law was implemented and will be enforced by the Florida Department of Agriculture and Consumer Services (FDACS), also known as “the Department.”
Rat and Mouse Control
Authors: Koehler P.G. , Kern, Jr. W.H.
Published: July 2024

Rats and mice are important rodent pests entering Florida homes and warehouses for food and harborage. These rodents eat any kind of food that people eat. They also contaminate 10 times as much food as they eat, with urine, droppings and hair. They can carry at least 10 different kinds of diseases including bubonic plague, murine typhus, spirochetal jaundice, Leptospirosis, rabies, ratbite fever, and bacterial food poisoning. This document provides information about rats and mice: how to recognize them, feeding habits and behavior, as well as methods to eradicate them. First published in June, 1991.
Cultural Guidelines for Commercial Production of Interiorscape Fire Flash (Chlorophytum amaniense)
Authors: Chen J. , McConnell D. B. , Henny R.J.
Published: July 2024

This document is about 'Fire Flash' (Chlorophytum amaniense). This is a foliage plant introduced to Florida from Thailand in the late 1990s. Bright coral petioles and midveins contrast with deep green, ovate-lanceolate leaves making an exotic appearing and exciting new plant (Chen et al. 2002).
Like spider plant (Chlorophytum comosum), fire flash is a member of the family Liliaceae, but actually originates from the rainforests of East Africa in the Usambara Mountains of Tanzania. 'Fire Flash' is the only recognized cultivar in this species; other names have been given to it including 'Mandarin Plant' and 'Tangerine'. This article is intended to provide brief guidelines for propagation, production, and interior use of 'Fire Flash' and list common problems that may be encountered during production and interiorscape use.
New Florida Foliage Plant Cultivar: Pothos 'Pearls and Jade
Authors: Henny R.J. , Chen J. , Mellich T.A.
Published: July 2024

This document is about Pothos (Epipremnum aureum), a plant enjoyed as an indoor houseplant for many purposes, including hanging baskets, small desk plants, totems, and dish gardens. In frost-free zones, it may also be used outdoors as a groundcover.
Biology and Management of Doveweed (Murdannia nudiflora) in Ornamental Crop Production
Authors: Khamare Yuvraj , Marble Chris , Boyd Nathan , Steed Shawn
Published: July 2024

Doveweed is a common grass-like warm-season annual weed in Florida landscapes, container nurseries, and other agricultural production systems. This article is written for green industry professionals and others to aid in the identification and management of doveweed in and around ornamental plants. Information on doveweed management in warm-season turfgrass species can be found at https://edis.ifas.ufl.edu/pdffiles/AG/AG39500.pdf.
Culture of Hybrid Tilapia: A Reference Profile
Authors: Chapman Frank A.
Published: July 2024

This document is about Tilapia, which is a generic term used to designate a group of commercially important food fish belonging to the family Cichlidae; the expression is derived from the African native Bechuana word "thiape," meaning fish. Cichlids are classified in the large order Perciformes, and inhabit the fresh and brackish waters of Africa, the Middle East, coastal India, Central and South America. True tilapias, however, are native only to Africa and the Middle East. Although exotic to the United States, populations of tilapia are now established in Arizona, California, Hawaii, Florida, Nevada, North Carolina, and Texas. First published July, 1992.
Alleviating Astringency in Persimmon Fruit for Enhanced Palatability and Consumer Acceptability
Authors: Sarkhosh Ali , Habibi Fariborz , Brecht Jeffrey K.
Published: July 2024

Persimmon fruits are classified as astringent or non-astringent, depending on the level of astringency the unripe or partially ripe fruit exhibit at the time of harvest. Astringency in persimmon fruit is a sensation caused by tannins present in the flesh that can make the mouth feel dry, cause puckering, numb the tongue, and constrict the throat. Sometimes, it may also impart a bitter taste. The astringency decreases as the fruit ripen until it is no longer present in fully ripe fruit. While consumers typically prefer non-astringent varieties, the cultivation of astringent varieties notably remains common. The purpose of this publication is to introduce consumers, growers, Extension agents, and specialists to postharvest methods for reducing astringency in unripe persimmons, making them more palatable and acceptable for consumption.
Government Agency Resources for Florida Blueberry Growers
Authors: Phillips Douglas A. , Williamson Jeffrey G.
Published: July 2024

Several federal, state, and local government offices and agencies offer assistance and resources to Florida blueberry growers. These include the University of Florida and IFAS Extension, the U.S. Department of Agriculture (USDA), the Florida Department of Agriculture and Consumer Services (FDACS), and various Florida water management districts. This publication summarizes some of the resources and assistance available from each of these agencies, along with website links as a starting point for growers to use in learning more about and accessing that assistance.
Pets and Pesticides: Benefits and Potential Risks
Authors: Kraus Emily
Published: July 2024

This publication is intended for pet owners of non-agricultural animals. It describes the benefits and risks associated with topical pesticides and collars intended to protect pets from parasites. It also describes how to protect pets from unintentional exposure to pesticides used in and around homes. Finally, it provides guidance on where to find assistance in case of an emergency.
Facts about Wildlife Diseases: Things You Should Know about Mule Deerpox Virus in Farmed White-Tailed Deer in Florida
Authors: Campos Krauer Juan M. , Wisely Samantha M.
Published: July 2024

Pox viruses are widespread and infect many hosts, including insects, reptiles, birds, and mammals. Some, like chicken pox, are highly adapted to humans, and others, like monkeypox, can be transmitted from species to species. All are highly contagious and usually cause lesions or rashes. Poxvirus infections occur in domestic hoofstock, including cattle, sheep, goats, camels, horses, and swine, and they have been reported in wild ungulates, including mountain sheep, mountain goats, reindeer, mule deer, musk-ox, caribou, moose, and white-tailed deer. In 1983, Mule deerpox virus, a genetically distinct pox virus, was found in free-ranging mule deer in Wyoming. Since the 1990s, several cases of mule deerpox virus have been reported from black-tailed deer from California and Oregon and a white-tailed deer from Mississippi, suggesting that this virus may be a potential emerging pathogen for white-tailed deer. It is unclear whether the virus is more prevalent or whether detection has increased.