bluuebunny/crossref_metadata_2025_split huggingface dataset:
EFEKTIVITAS KEBIJAKAN BANTUAN LANGSUNG TUNAI DANA DESA (BLT-DD) KEPADA MASYARAKAT YANG TERKENA DAMPAK COVID-19 DI DESA SEMELINANG DARAT KECAMATAN PERANAP
Authors: Syaprianto  , Herman  
Published: March 2023

Salah satu dampak dari covid 19 adalah menurunnya perekonomian masyarakat dan untuk mengatasi dampak covid 19 tersebut, pemerintah membuat kebijakan yaitu dengan memberikan bantuan kepada masyarakat yang dikenal dengan Bantuan Langsung Tunai Dana Desa (BLT-DD). Dalam menyalurkan BLT Dana Desa, pemerintah desa dinilai masih belum tepat waktu dan pemerintah desa dinilai kurang teliti karena masih ada masyarakat penerima BLT Dana Desa yang menerima bantuan sosial lainnya. Padahal menurut ketentuan penerima bantuan sosial tidak boleh menerima bantuan BLT Dana Desa. Penelitian ini bertujuan untuk mengetahui bagaimana penyaluran Bantuan Langsung Tunai Dana Desa (BLT-DD) bagi masyarakat miskin yang terkena dampak covid 19. Penelitian ini menggunakan metode kualitatif dan teori yang peneliti gunakan dalam penelitian ini adalah teori efektifitas menurut Nugroho. Berdasarkan hasil penelitian bahwa, Pemerintah desa Semelinang Darat dalam menyalurkan Bantuan Langsung Tunai Dana Desa (BLT-DD) terhadap masyarakat yang terkena covid 19 sudah terlaksana, namun masih ada masyarakat yang menerima bantuan sosial lainnya mendapatkan BLT Dana Desa. Maka saran dalam penelitian ini adalah data penerima bantuan sosial perlu data ulang, sehingga tidak ada masyarakat yang menerima Bantuan Langsung Tunai Dana Desa (BLT-DD) juga menerima bantuan sosial dari pemerintah.

Kata Kunci : Evaluasi, BLT Dana Desa
Pemanfaatan Ampas Kelapa Hasil Fermentasi Cairan Rumen Dalam Pakan Buatan Terhadap Pertumbuhan dan Sintasan Ikan Nila (Oreochromis Niloticus)
Authors: Burhanuddin Burhanuddin , Akmaluddin Akmaluddin , Soadiq Syawaluddin , Haris Abdul , Malik Abdul , Ikbal Muhamad , Saleh Muhammad Syaiful 
Published: March 2023

Tujuan penelitian ini adalah untuk megetahui pemanfaatan ampas kelapa yang difermentasi cairan rumen dalam pakan terhadap pertumbuhan ikan nila. Penelitian ini dilakasanakan pada bulan September sampai Oktober 2022 di Balai Benih Ikan (BBI) Bontomanai Kecamatan Bontomarannu Kabupaten Gowa, Sulawesi Selatan. Alat dan bahan yang digunakan adalah Rancagan Acak Lengkap (RAL) dengan 4 perlakuan 3 ulagan. Perlakuan A Cairan Rumen (40 ml), Perlakuan B (60 ml), Perlakuan C (80 ml), Perlakuan D (100 ml). Berdasarkan hasil penelitian dapat dilihat bahwa perlakuan dengan kadar ampas kelapa hasil fermentasi cairan rumen yang berbeda dalam pakan diperoleh rata-rata laju pertumbuhan tertinggi pada perlakuan C (80ml) sebesar 3.465, disusul perlakuan B (60ml) sebesar 2.36%, kemudian perlakuan A (40 ml) sebesar 1.68%, dan terendah pada perlakuan D (100ml) sebesar 1.57%. Selanjutnya hasil analisis sidik ragam menunjukkan bahwa perlakuan dengan penambahan kadar ampas kelapa hasil fermentasi cairan rumen tidak berpengaruh nyata (p> 0,05) terhadap laju pertumbuhan benih ikan nila. Hasil analisis ragam ANOVA menunjukan bahwa perlakuan dengan penambahan ampas kelapa hasil fermentasi cairan rumen dalam pakan dengan kadar yang berbeda tidak berpegaruh nyata (p>0,05) terhadap sintasan benih ikan nila.
The purpose of this study was to find out the use of fermented coconut dregs in rumen fluid in feed for the growth of tilapia. This research was carried out from September to October 2022 at the Bontomanai Fish Seed Center (BBI), Bontomarannu District, Gowa Regency, South Sulawesi, the tools and materials used is a Completely Randomized Design (CRD) with 4 treatments 3 replications. Treatment A Rumen Fluid (40ml), Treatment B (60ml), Treatment C (80ml), Treatment D (100ml). Based on the results of the study it can be seen that the treatment with different levels of coconut dregs fermented rumen fluid in the feed obtained the highest average growth rate in treatment C (80ml) of 3.465, followed by treatment B (60ml) of 2.36%, then treatment A (40ml)) of 1.68%, and the lowest was in treatment D (100ml) of 1.57%. Furthermore, the results of the analysis of variance showed that treatment with the addition of coconut dregs from fermented rumen liquid had no significant effect (p> 0.05) on the growth rate of tilapia fry. The results of ANOVA analysis of variance showed that treatment with the addition of coconut dregs fermented rumen fluid in feed with different levels had no significant effect (p>0.05) on survival of tilapia fry.
PENGARUH KUALITAS SUMBER DAYA MANUSIA DAN KUALITAS ANGGARAN TERHADAP KINERJA KEUANGAN PADA SEKRETARIAT DAERAH KABUPATEN PANGKEP
Authors: Hasan Arisal , Setiawan Lukman , Cahyono Cahyono 
Published: March 2023

Penelitian ini bertujuan untuk menganalisis pengaruh kualitas sumber daya manusia dan kualitas anggaran terhadap sistem informasi manajemen daerah dan kinerja keuangan pemerintah daerah pada kantor Sekretariat Daerah Kabupaten Pangkajene dan Kepulauan, menganalisis pengaruh sistem informasi manajemen pemerintah terhadap kinerja keuangan daerah, serta untuk menganalisis sistem informasi Manajemen Daerah dalam memediasi pengaruh kualitas sumber daya manusia dan kualitas anggaran terhadap kinerja keuangan daerah. Penelitian ini merupakan penelitian kuantitatif, dengan mengambil populasi yakni pegawai pada Kantor Sekretariat Daerah Kabupaten Pangkajene dan Kepulauan yang berjumlah sebanyak 107 orang pegawai dengan menggunakan rumus Slovin maka diperoleh jumlah sampel sebanyak 84 orang pegawai. dengan teknik penarikan sampel purposive sampling. Teknik pengumpulan data melalui penyebaran kuesioner dengan teknik analisis data menggunakan analisis jalur. Hasil penelitian menemukan bahwa kualitas sumber daya manusia dan kualitas anggaran berpengaruh positif dan signifikan terhadap sistem informasi manajemen daerah dan kinerja keuangan pemerintah daerah, sistem informasi manajemen daerah berpengaruh positif dan signifikan terhadap kinerja keuangan daerah, dari hasil uji mediasi diperoleh temuan bahwa sistem informasi manajemen daerah dapat memediasi pengaruh kualitas sumber daya manusia dan kualtias anggaran terhadap kinerja keuangan daerah pada Kantor Sekretariat Daerah Kabupaten Pangkajene dan Kepulauan..
This study aims to analyze the influence of the quality of human resources and budget quality on the Regional Management information system and the financial performance of the local government at the Regional Secretariat of Pangkajene and Islands Regency, to analyze the effect of the government management information system on regional financial performance, as well as to analyze the Management information system. Regions in mediating the influence of the quality of human resources and budget quality on regional financial performance. This research is a quantitative research, by taking a population of 107 employees at the Regional Secretariat Office of Pangkajene and Islands Regency using the Slovin formula, the total sample size is 84 employees. using purposive sampling technique. The technique of collecting data is through distributing questionnaires with data analysis techniques using path analysis. The results of the study found that the quality of human resources and budget quality had a positive and significant effect on regional management information systems and local government financial performance, regional management information systems had a positive and significant effect on regional financial performance. can mediate the influence of the quality of human resources and budget quality on regional financial performance at the Regional Secretariat Office of Pangkajene and Islands Regency.
PENGARUH MODAL KERJA, STRUKTUR MODAL DAN LIKUIDITAS TERHADAP PROFITABILITAS PADA PERUSAHAAN FOOD AND BEVERAGE DI BURSA EFEK INDONESIA
Authors: Rinaldy Imam Jun , Lewangka Oesman , Remmang Hasanuddin 
Published: March 2023

Penelitian ini bertujuan untuk untuk menganalisis pengaruh modal kerja terhadap profitabilitas pada perusahaan food and beverage di bursa efek indonesia, menganalisis pengaruh struktur modal terhadap profitabilitas pada perusahaan food and beverage di Bursa Efek Indonesia, Menganalisis dan mengetahui Pengaruh Likuiditas terhadap Profitabilitas pada Perusahaan Food and Beverage Di Bursa Efek Indonesia. Penelitian ini di lakukan pada Galeri Investasi Bursa Efek Indonesia yang di Makassar yang terletak jalan DR Ratulangi No. 124 Kec Mariso, Kota Makassar Waktu penelitian direncanakan kurang lebih satu bulan lamanya. Jenis data yang di gunakan pada penelitian ini adalah data kuantitatif, yaitu data-data laporan keuangan perusahaan food and beverage yang terdaftar pada Bursa Efek Indonesia. Sumber data yang digunakan pada penelitian ini adalah data sekunder, yaitu data yang di dapatkan secara tidak langsung melainkan data yang telah diolah melalui website www.idx.co.id berupa data laporan keuangan perusahaan food and beverage yang terdaftar pada Bursa Efek Indonesia. Hasil Penelitian menemukan bahwa Variabel Perputaran Modal Kerja berpengaruh negative signifikan terhadap Profitabilitas pada perusahaan food and beverage di Bursa Efek Indonesia. Variabel Struktur Modal berpengaruh positif signifikan terhadap Profitabilitas pada perusahaan food and beverage di Bursa Efek Indonesia. Dan Variabel Likuiditas berpengaruh positif tidak signifikan terhadap Profitabilitas pada perusahaan food and beverage di Bursa Efek Indonesia.
This study aims to analyze and determine the effect of working capital on profitability of food and beverage companies on the indonesia stock exchange, analyze and determine the effect of capital structure on profitability of food and beverage companies on the indonesian stock exchange, analyze and determine the effect of liquidity on profitability of companies food and beverage on the indonesia stock exchange. 124 mariso sub-district, makassar city. the research time is planned for approximately one month. the type of data used in this study is quantitative data, namely data on the financial statements of food and beverage companies listed on the Indonesia Stock Exchange. The source of data used in this study is secondary data, namely data that is obtained indirectly but data that has been processed through the website www.idx.co.id in the form of financial report data for food and beverage companies listed on the Indonesia Stock Exchange. The results of the study found that the Working Capital Turnover Variable had a significant negative effect on profitability in food and beverage companies on the Indonesia Stock Exchange. The capital structure variable has a significant positive effect on profitability in food and beverage companies on the Indonesia Stock Exchange. And the Liquidity variable has no significant positive effect on profitability in food and beverage companies on the Indonesia Stock Exchange.
Combining quantitative and qualitative analysis for scoring pleural line in lung ultrasound
Authors: Xing Wenyu , He Chao , Ma Yebo , Liu Yiman , Li Qingli , Li Wenfang , Chen Jiangang , Ta Dean 
Published: March 2023

<p>With the advancement of lung disease research and the wide application of lung ultrasound (LUS), it is essential to analyze various indicators in LUS images independently to aid in clinical diagnosis. In this paper, we proposed a quantitative and qualitative method for extracting, analyzing, and scoring pleural lines with different lesions in LUS images. The extraction module consists of customized cascaded detection and segmentation models based on convolution and multilayer perceptron (MLP). The analysis module uses eight textural and three morphological parameters to quantitatively analyze the features of two different output images from the localization and segmentation models, respectively. To qualitatively evaluate pleural lines with different severities in LUS images, the scoring module adopts four supervised machine learning classifiers, including support vector machine, k-nearest neighbor, random forest, and decision tree. We performed experiments on the 5390 LUS images acquired from Coronavirus Disease 2019 pneumonia patients using convex ultrasound probes. The experimental results demonstrated that our proposed line extraction method accurately detected and segmented pleural lines. The support vector machine classifier, which combined textural and morphological features as input, achieved optimal scoring performance with accuracy, sensitivity, specificity, F1 score, and AUC being 94.47%, 97.31%, 94.50%, 0.9457, and 0.9822, respectively. Compared with other models, our proposed method also proved to be more effective. Thus, our proposed method has great potential for clinical application in the analysis of LUS images and can aid in the diagnosis and treatment of lung disease. </p>
Performance Analysis of Spectral Amplitude Coding Methods in Fiber Optical Communication System
Authors: Abusale Wahhab Abdulrazzaq , Karabulut Muhammet Ali , Ilhan Haci 
Published: March 2023

<p> This study analyzes optical code division multiplexed access system coding with two different types of spectral amplitude coding (SAC): Double Weight (DW) codes and Multiple Diagonal (MD) codes. These two encoding types differ in code structure and channel bandwidth length (the number of wavelengths representing the channel's bandwidth), as well as Q-Factor, BER, and MAI values. This study analyzes systems with different number of users over single-mode optical fiber and presents a comparison of both. DW codes have a shorter length code than MD codes, and although this technique can generate unique code words for each user, it will break the system using MD encoding. This is another reason to increase bandwidth for MD codes. </p>
LW-IRSTNet: Lightweight Infrared Small Target Segmentation Network
Authors: Kou Renke , Wang Chunping , Huang Fuyuan , Yu Ying , Peng Zhenming , Fu Qiang 
Published: March 2023

<p>It is a challenging task to separate infrared small targets from complex backgrounds quickly and accurately. With the development of deep learning, to effectively extract the features of infrared small targets, many algorithms use classic networks (VGG, UNet, or ResNet, etc.) as a backbone in the encoding phase. At the same time, various multiscale feature fusion modules, channel, and space attention mechanism fusion modules are designed. Although these designs are slightly helpful to the improvement of infrared small target detection accuracy, they will cause a significant increase in params and floating-point operations per second (FLOPs). To reduce the computational complexity, a lightweight infrared small target segmentation network (LW-IRSTNet) is proposed. The Depthwise separable-Atrous-Asymmetric-Atrous (DAAA) module is built by taking full advantage of the combination of depthwise separable, atrous and asymmetric convolution. The ablation experiment shows that the DAAA module plays an important role in improving segmentation accuracy and reducing params and FLOPs. To verify the accuracy, robustness, and computational complexity of LW-IRSTNet, 17 state-of-the-art networks are used as baselines for comparative analysis. The experimental results showed that the segmentation accuracy indexes (mIOU, F1, ROC) of LW-IRSTNet are all above or equal to the baseline best results on the five public datasets. Meanwhile, the network params are compressed to 0.16M and FLOPs to 303M, which is much lower than the baseline results. In addition, LW-IRSTNet is deployed on the Orange Pi 5 embedded platform. Through the ONNX framework, NPU acceleration and CPU multi-threaded resource utilization, the high-performance inference capability of LW-IRSTNet is realized, with FPS up to 50. A lot of comparative experimental results and the LW-ISTSNet inference model based on the Ptorch and onnx frameworks is published at <a href="https://github.com/kourenke/LW-IRSTNet" target="_blank">https://github.com/kourenke/LW-IRSTNet</a>. </p>
Artificial Intelligence and Biosensors in Healthcare and its Clinical Relevance: A Review
Authors: Qureshi Rizwan , Irfan Muhammad , Ali Hazrat , Khan Arshad , Ali Shawkat , shah zaigham , Gondal Taimoor Muzaffar , Sadak Ferhat , Shah Zubair , Hadi Muhammad Usman , Khan Sheheryar , Bermak Amine , shekhar aditya 
Published: March 2023

<p>Data generated from sources such as wearable sensors, medical imaging, personal health records, pathology records, and public health organizations have resulted in a massive information increase in the medical sciences over the last decade. Advances in computational hardware, such as cloud computing, Graphical Processing Units (GPUs), and Tensor Processing Units (TPUs), provide the means to utilize these data. Consequently, many Artificial Intelligence (AI)-based methods have been developed to infer from large healthcare data. Here, we present an overview of recent progress in artificial intelligence and biosensors in medical and life sciences. We discuss the role of machine learning in medical imaging, precision medicine, and biosensors for the Internet of Things (IoT). We review the most recent advancements in wearable biosensing technologies that use AI to assist in monitoring bodily electro-physiological and electro-chemical signals and disease diagnosis, demonstrating the trend towards personalized medicine with highly effective, inexpensive, and precise point-of-care treatment. Furthermore, an overview of the advances in computing technologies, such as accelerated artificial intelligence, edge computing, and federated learning for medical data, are also documented. Finally, we investigate challenges in data-driven AI approaches, the potential issues that biosensors and IoT-based healthcare generate, and the distribution shifts that occur among different data modalities, concluding with an overview of future prospects </p>
Antenna Setup for Future Joint Radar-Communications – Characteristics and Mounting Positions
Authors: Lübke Maximilian , Fuchs Jonas , Dubey Anand , Frank Martin , Franchi Norman , Lurz Fabian 
Published: March 2023

<p>The development of millimeter wave systems is driven by the strong trend toward new communications generations and especially by the emerging joint radar and communications design approach. Safety-critical applications like platooning or intersection assistance will significantly benefit from the combination of sensing and communications. While radar performs a channel measurement and thus, needs a wide field of view (especially in city/intersection scenarios), communications aims to minimize the interference for other not addressed receivers (e. g. in a platoon) by a focused antenna design. The proposed work extends the analysis of the influence of various antenna positioning for a typical automotive scene by taking also different characteristics (antenna gain, half power beamwidth, and sidelobe level) into account. Hereby, it is mandatory to investigate the communications and sensing performance simultaneously. The positions at the front bumper – typical for radar sensors – and especially at the left mirror convinced regarding the vehicular communications as well as the sensing behaviour. Applying focused antennas is promising, however, has also limits if the signals are not received out of the main beam but out of the sidelobes, resulting in a critical communications performance. Thus, beam steering is recommended to be applied in the future.<br>
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Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction
Authors: Wei Tianhao , Kang Shucheng , Liu Ruixuan , Liu Changliu 
Published: March 2023

<p>Safety is critical in robotic tasks. Energy function based methods have been introduced to address the problem. To ensure safety in the presence of control limits, we need to design an energy function that results in persistently feasible safe control at all system states. However, designing such an energy function for high-dimensional nonlinear systems remains challenging. Considering the fact that there are redundant dynamics in high dimensional systems with respect to the safety specifications, this paper proposes a novel approach called abstract safe control. We propose a system abstraction method that enables the design of energy functions on a low-dimensional model. Then we can synthesize the energy function with respect to the low-dimensional model to ensure persistent feasibility. The resulting safe controller can be directly transferred to other systems with the same abstraction, e.g., when a robot arm holds different tools. The proposed approach is demonstrated on a 7-DoF robot arm (14 states) both in simulation and real-world. Our method always finds feasible control and achieves zero safety violations in 500 trials on 5 different systems. </p>
Pengaruh Internal Control, Good Public Governance, Budaya Organisasi, Tekanan Target, Kompensasi dan Arogansi terhadap Pencegahan Fraud
Authors: Nahari Unzila , Kusuma Kusuma 
Published: March 2023

Penelitian ini dilakukan karena adanya beberapa penyelewengan dana desa di beberapa desa di wilayah Indonesia. Penelitian ini merupakan penelitian deskriptif kuantitatif yang bertujuan untuk menguji Teori Institusional dan Teori fraud pentagon dengan menganalisis pengaruh internal control, good public governance, budaya organisasi, tekanan target, kompensasi dan arogansi terhadap pencegahan fraud pada penggunaan dana desa. Sampel dalam penelitian ini ditentukan menggunakan metode purposive sampling dan diperoleh total sebanyak 85 responden yang merupakan aparatur pemerintahan desa di wilayah Kecamatan Kembaran Kabupaten Banyumas yang berhubungan dengan pengelolaan dana desa. Teknik analisis data dalam penelitian ini menggunakan analisis regresi linear berganda dengan software SPSS 22. Hasil penelitian menunjukan bahwa internal control, good public governance, budaya organisasi dan kompensasi berpengaruh positif terhadap pencegahan fraud dana desa. Sedangkan tekanan target dan arogansi berpengaruh negatif terhadap pencegahan fraud dana desa .