bluuebunny/crossref_metadata_2025_split huggingface dataset:
MENGKAJI EFEKTIVITAS BADAN USAHA MILIK DESA SEBAGAI PENOPANG PEREKONOMIAN DESA (Studi Kasus Kegagalan BUMDES di Desa Beji Kecamatan Kedungbanteng Kabupaten Banyumas)
Authors: Aini Farida Nur , Purboyo Taufik 
Published: August 2022

ABSTRAK
Salah satu program pemerintah yang tercantum dalamundang-undang Nomor 6 Tahun 2014 adalah dapat mendirikan Badan Usaha Milik Desa yang disebut BUMDES, BUMDES dirancang memiliki dua tujuan pokok yaitu meningkatkan perekonomian masyarakat dan meningkatkan PAD. Namun di dalam perjalanannya BUMDES banyak yang tidak berhasil. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan pengumpulan data melalui wawancara, observasi dan dokumentasi. Berdasarkan hasil penelitian ada dua aspek yang paling menonjol sebagai penyebab kegagalan BUMDES. Pertama adalah profesionalisme pengurus dan yang kedua adalah lemahnya pembinaan dan pengawasan dari pengawas dan pemerintah desa. Oleh karena itu yang perlu diperhatikan adalah bagaimana caranya agar BUMDES dapat berjalan secara ketat dengan pembinaan pengawasan yang intensif.

Kata kunci : Efektivitas, BUMDES

ABSTRACT

One of the government programs listed in Law Number 6 of 2014 is to be able to establish a Village-Owned Enterprise called BUMDES, BUMDES is designed to have two main objectives, namely improving the communityâ€™s economy and increasing PAD. However, along the way, many BUMDES did not succeed. The method used in this research is descriptive qualitative with data collection through interviews, observation and documentation. Based on the results of the study, there are two aspects that stand out the most as the cause of the failure of BUMDES. The first is the professionalism of the administrators and the second is the lack of guidance and supervision from supervisors and village government. Therefore, what needs to be considered is how to make BUMDES run strictly with intensive supervision.
Keywords: Effectiveness, BUMDES
Analisis Penerapan Good Corporate Governance pada Bank Sumut KCP Syariah Multatuli
Authors: Effendy M Ridho , Ridhoeffendy5@gmail.com  , Effendy M Ridho 
Published: August 2022

ABSTRACT
Good Corporate Governance is a way ofacorporateagovernanceathataaims to make the companyarun well. This study intends to let us knowahowatoaapplyatheaprinciplesaofagood corporateagovernanceaataBankaSumut kcp syariah Multatuli, a regionally owned Islamic bank whichaisaaabranch ofatheaaNorth Sumatran bank.a This research uses the principle of a qualitative approach with aasemi-structureda interviewatechnique,atoadetermineatheasources by using a purposive sampling method. The data analysis technique used in this research is data reduction in data presentation and conclusion drawing. The results of the study show the imp-lementation of Good Corporate Governance through the principle of Tariffs, namely Transparency, Accountability, Responsibility, Independence, and Fairnes. At Bank Sumut Kcp syariah Multatuli this is already good and in accordance with the principles of Good Corporate Governance.
Keywords : Good Corporate Governance,TARIF; Journal Al-Kharaj.
Pengaruh Biaya Pendidikan, Motivasi Sosial, dan Motivasi terhadap Pilihan Berkarir Bidang Perpajakan
Authors: Antas Tarsisius Angkasa , Wardani Dewi Kusuma , Primastiwi Anita 
Published: August 2022

This study aims to determine the effect of perceptions of education costs, social motivation, and career motivation on career choices in the field of taxation with interest in participating in tax brevet as an intervening variable. This research method is a survey research method. This data collection was done by distributing questionnaires using google form. This research uses data analysis method using SmartPLS software version 3.0. This research was conducted on 100 respondents, namely students of the Accounting S1 Program at several universities in the Special Region of Yogyakarta that have a tax Brevet training program. The results showed that the perception of the cost of education, social motivation, and career motivation had a positive effect on interest in following tax brevet. Perceptions of education costs and social motivation have no effect on career choices in taxation. Career motivation has a positive effect on career choices in taxation. Interest in following the tax brevet does not affect the choice of a career in taxation. Perceptions of education costs, social motivation, and career motivation have no effect on career choice in taxation through interest in following tax brevet as an intervening variable.
Keywords: Perception of Educational Costs, Social Motivation, Career Motivation, Career Choices in the Field of Taxation, Interest in Following Tax Brevet
Analisis Diversifikasi, Merger, dan Akuisis Perusahaan Multinasional
Authors: Warti Risma , Azizi Adelia , Audina Dea Dara 
Published: August 2022

Diversification analysis was developed with various objectives including increasing growth when the existing market/product has reached a maturity stage, maintaining stability by spreading the risk of fluctuations in profit, increasing credibility in the capital market, to avoid dependence on a single good or product circulating in the market, fulfill the wishes of unsatisfied consumers, increase the attractiveness or interest of consumers, increase sales turnover, increase profits by using the same ingredients, and prevent consumer boredom.
Keywords: Diversification, Merger, and Acquisition.
Analisis Tata Ruang Dalam Kenyamanan Kerja dan Opimalisasi Kinerja pada Bank Muamalat KCU Medan Baru
Authors: Ramadhan Arif , Jannah Nurul 
Published: August 2022

This study aims to determine (1) : office space management that has been carried out at Bank Muamalat Kcu Medan Baru (2) Achievements and efforts in the problem of employee comfort at Bank Muamalat Kcu Medan Baru. (3) the existing management plan of Bank Muamalat Kcu Medan Baru on effective spatial management. The data collection technique is qualitative with descriptive method. The data obtained at Bank Muamalat Kcu Medan Baru there are several errors and obstacles in the arrangement of the room so that some good strategies are needed so that the company maximizes the arrangement in accordance with the principles of spatial management so that the company is comfortable and the employees work well.
Keywords: Office Layout, Work Comfort, Employee Performance
Perkembangan dan Tantangan Pasar Modal Indonesia
Authors: Rorizki Fitri , Sakinah Sakinah , Dalimunthe Arpin , Silalahi Purnama Ramadhani 
Published: August 2022

The main indicator of economic health for any country is the capital market. Cities of Presence in Indonesia experience several ups and downs which can be seen from the fluctuating JCI indicator. As a result of globalization and economic integration, the work of currency exchange is very different from that of national, regional and international economics. Local investors are required to make a significant contribution to the Indonesian stock market to make it more resilient to various crises and dangers. With the rapid growth of Indonesia's youth population, there may be an opportunity that can be used to encourage people to refrain from active trading in the stock market. In addition, several other issues in capital development markets should be discussed, including the types of fixed price contracts transacted, policies to protect holder rights, the "game" involved in stock transactions, and a minimal level of understanding.
Keywords: Capital Market, Development, Challenges
Penerapan Metode Vikor untuk Menentukan Pemberian Dana Mekaar Plus pada PNM Kota Binjai
Authors: Loria Enno 
Published: August 2022

PT Permodalan Nasional Madani or PNM, is here as a solution to improve welfare through access to capital, assistance and capacity building programs for business actors. Along with business development, in 2016, PNM launched a capital loan service for underprivileged women who are ultra micro business actors through the Fostering a Prosperous Family Economy (PNM Mekaar) program. For this reason, PNM must be more careful and considerate in determining the provision of Mekaar Plus loans. In order not to make mistakes and cause disappointment in the future. So it is necessary to build a system that can be used as a determining and alternative system in determining how to provide Mekaar Plus funds by using a decision support system. This system will be able to make decisions quickly and precisely according to predetermined criteria. So that in the process of giving the blooming funds it can be done more effectively and can reduce the occurrence of errors in the decision-making process. There are many methods used in the decision-making process. One of the methods used in this research is the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method.
Keywords: Decision Support System, PNM, Mekaar, VIKOR
Implementasi Learning Vector Quantization (LVQ) Dalam Mengidentifikasi Gula Aren Asli dengan Gula Aren Campuran
Authors: Melisa Melisa 
Published: August 2022

Palm sugar is one type of sugar that is often used by the community as a sweet taste for cooking, making food and drinks. Palm sugar is made from palm sap or juice from coconut trees, by boiling. To distinguish real and mixed palm sugar, by naked eye it is difficult to tell the difference. Moreover, many people do not understand or lack knowledge about the authenticity of palm sugar circulating in the market. So far, people who buy palm sugar only see the authenticity of palm sugar from its sweet taste or color. For this reason, it is necessary to identify using a digital image of the palm sugar, to determine the type of original palm sugar and mixed palm sugar. This is done so that the public gets information and knowledge so that they can be more observant and thorough in choosing and distinguishing palm sugar on the market by knowing the image characteristics of real palm sugar and mixed palm sugar. The Learning Vector Quantization (LVQ) method is a type of competitive-based network where from the output value given by the neurons in the output layer, only the winning neurons are considered. The winning neuron will undergo weight renewal. From the results of the analysis of calculations carried out with test data, the smallest distance data is obtained, namely at weight 1, so that the test image input on the palm sugar image is included in class 1 or original palm sugar. Thus, the palm sugar test image data is in accordance with the expected result data.
Keywords : Palm Sugar, Digital Image Processing, Learning Vector Quantization
Elongated boundaries detector parameters optimisation based on generation of synthetic data from aerial imagery
Authors: Panfilova Ekaterina , Grigoryev Anton , Burmistrov Vladimir 
Published: August 2022

The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an important component of the visual system of a highly automated vehicle (HAV). It is used by HAV to solve self-localization problems or maintain the position inside the lane. Testing and optimisation of computer vision algorithms include preparing of the datasets that are usually labelled manually. Synthetic data of various kinds can reduce the complexity of algorithms development. In this paper we describe an approach to generation of synthetic data for testing elongated boundaries detectors that works with road images obtained from the cameras mounted on the HAV and converted to bird’s eye view. This approach is based on cutting of raster aerial imagery and corresponding vector markup of target objects in the aerial imagery in various ways.<br>There is a class of elongated boundaries detectors, the first stage of which is the background suppression on the image and thus highlighting of the target lines. For them, we propose a method for creating a dataset consisting of images with a suppressed background, specifically, images of white elongated lines on a black background. The lines’ shape will be similar to the target lines of the detector. With such a dataset you can tune the parameters, which affect stages of the algorithm, following the suppression of the background in the image.<br>In this paper we also consider elongated boundaries detector. Its parameters fix the geometric model of the target lines. Automatic optimisation of the quality of such a detector is possible using the Optuna toolkit, but it requires a large dataset. In this paper, we propose an approach to optimisation of the detector on a synthetic dataset. The effectiveness of this approach is confirmed by testing on real data.
Fully automated breast segmentation on spiral breast computed tomography images
Authors: Shim Sojin , Cester Davide , Ruby Lisa , Bluethgen Christian , Marcon Magda , Berger Nicole , Unkelbach Jan , Boss Andreas 
Published: August 2022

AbstractIntroductionThe quantification of the amount of the glandular tissue and breast density is important to assess breast cancer risk. Novel photon‐counting breast computed tomography (CT) technology has the potential to quantify them. For accurate analysis, a dedicated method to segment the breast components—the adipose and glandular tissue, skin, pectoralis muscle, skinfold section, rib, and implant—is required. We propose a fully automated breast segmentation method for breast CT images.MethodsThe framework consists of four parts: (1) investigate, (2) segment the components excluding adipose and glandular tissue, (3) assess the breast density, and (4) iteratively segment the glandular tissue according to the estimated density. For the method, adapted seeded watershed and region growing algorithm were dedicatedly developed for the breast CT images and optimized on 68 breast images. The segmentation performance was qualitatively (five‐point Likert scale) and quantitatively (Dice similarity coefficient [DSC] and difference coefficient [DC]) demonstrated according to human reading by experienced radiologists.ResultsThe performance evaluation on each component and overall segmentation for 17 breast CT images resulted in DSCs ranging 0.90–0.97 and in DCs 0.01–0.08. The readers rated 4.5–4.8 (5 highest score) with an excellent inter‐reader agreement. The breast density varied by 3.7%–7.1% when including mis‐segmented muscle or skin.ConclusionThe automatic segmentation results coincided with the human expert's reading. The accurate segmentation is important to avoid the significant bias in breast density analysis. Our method enables accurate quantification of the breast density and amount of the glandular tissue that is directly related to breast cancer risk.
Investigating the lesion detectability of Tc‐99m planar scintigraphy acquired with LEHRS collimator for patients with different body sizes: A phantom study
Authors: Lin Pei‐Yao , Jhan Kai‐Jie , Ko Kuan‐Yin , Yang Ching‐Ching 
Published: August 2022

AbstractPurposeThe aim of this work was to investigate the lesion detectability of Tc‐99m planar scintigraphy acquired with a low‐energy high‐resolution and sensitivity (LEHRS) collimator and processed by Clarity 2D for patients with different body sizes through phantom study.MethodsA NEMA IEC body phantom set was covered by two layers of 25‐mm‐thick bolus to construct phantom in three different sizes. All image data were performed on a Discovery NM/CT 870 DR with an LEHRS collimator and processed by Clarity 2D with blend ratio a of 0%, 20%, 40%, 60%, 80%, and 100%. The lesion detectability in gamma scintigraphy was evaluated by calculating the contrast‐to‐noise ratio (CNR). Multiple linear regression methods were used to analyze the impact of body size, target size, and Clarity 2D blending weight on the lesion detectability of Tc‐99m planar scintigraphy.ResultsIt was found that changing the blend ratio could improve CNR, and this phenomenon was more significant in anterior view than in posterior view. Our results also suggested that the blend ratio should be selected according to patient body size in order to maintain consistent CNR. Hence, when a blend ratio of 60% was used for a patient before cancer treatment, a lower blend ratio should be used for the same patient experiencing treatment‐related weight loss to achieve consistent lesion detectability in Tc‐99m planar scintigraphy acquired with LEHRS and processed by Clarity 2D.ConclusionThe magnitude of photon attenuation and scattering is higher in patients with larger body size, so Tc‐99m planar scintigraphy usually has lower lesion detectability in obese patients. Although photon attenuation and scattering are inevitable during image formation, their impacts on image quality can be eased by employing appropriate image protocol parameters.
Cutaneous amyloid is a biomarker in early ATTRv neuropathy and progresses across disease stages
Authors: Freeman Roy , Gonzalez‐Duarte Alejandra , Barroso Fabio , Campagnolo Marta , Rajan Sharika , Garcia Jennifer , Kim Jee Young , Wang Ningshan , Orellana Lucas , Gibbons Christopher 
Published: August 2022

AbstractObjectiveTo determine the sensitivity and specificity of cutaneous amyloid deposition in relation to patient‐reported measures in the earliest disease stage of hereditary ATTR amyloidosis (ATTRv).MethodsIn a cross‐sectional study, we analyzed 88 individuals with TTR mutations, 47 of whom were in the earliest disease stage and without clinically evident neuropathy, 12 healthy controls, and 13 disease controls with diabetes. All participants' neuropathy symptoms and signs were assessed using validated patient and clinician‐reported measures and 3‐mm skin punch biopsies were immunostained using protein gene product 9.5 and Congo Red.ResultsAmyloid can be detected in the earliest disease stages in up to 86% of patients with ATTRv amyloidosis. Amyloid was not detected in healthy individuals or individuals with diabetic peripheral neuropathy supporting a sensitivity of 86% and a specificity of 100%. The cutaneous deposition of amyloid correlates with neuropathy sensory symptoms, measured with the Neuropathy Total Symptom Score‐6 (R = 0.46, p < 0.01); pain measured with the Brief Pain Symptom Inventory (R = 0.44, p < 0.05); autonomic symptoms, measured with the Boston Autonomic Symptom Questionnaire (R = 0.38, p < 0.05); and quality of life measured with the Norfolk Diabetic Neuropathy Quality of Life Questionnaire (R = 0.44, p < 0.05). Individuals with amyloid deposition were more likely to have sensory symptoms, pain, autonomic impairment, and reduced quality of life than ATTRv patients without amyloid deposition.InterpretationThese findings have implications for understanding the earliest manifestations of the clinical phenotype of ATTRv‐associated neuropathy, for the pathophysiological construct of disease staging, and for timing the introduction of disease‐modifying therapy.
Sponge‐Like Macroporous Hydrogel with Antibacterial and ROS Scavenging Capabilities for Diabetic Wound Regeneration
Authors: Wei Cheng , Tang Pengfei , Tang Youhong , Liu Laibao , Lu Xiong , Yang Kun , Wang Qingyuan , Feng Wei , Shubhra Quazi T. H. , Wang Zhenming , Zhang Hongping 
Published: August 2022

AbstractHydrogels with soft and wet properties have been intensively investigated for chronic disease tissue repair. Nevertheless, tissue engineering hydrogels containing high water content are often simultaneously suffered from low porous size and low water‐resistant capacities, leading to undesirable surgery outcomes. Here, a novel sponge‐like macro‐porous hydrogel (SM‐hydrogel) with stable macro‐porous structures and anti‐swelling performances is developed via a facile, fast yet robust approach induced by Ti3C2 MXene additives. The MXene‐induced SM‐hydrogels (80% water content) with 200–300 µm open macropores, demonstrating ideal mass/nutrient infiltration capability at ≈20‐fold higher water/blood‐transport velocity over that of the nonporous hydrogels. Moreover, the highly strong interactions between MXene and polymer chains endow the SM‐hydrogels with excellent anti‐swelling capability, promising equilibrium SM‐hydrogels with identical macro‐porous structures and toughened mechanical performances. The SM‐hydrogel with versatile functions such as facilitating mass transport, antibacterial (bacterial viability in (Acrylic acid‐co‐Methacrylamide dopamine) copolymer‐Ti3C2 MXene below 25%), and reactive oxygen species scavenging capacities (96% scavenging ratio at 120 min) synergistically promotes diabetic wound healing (compared with non‐porous hydrogels the wound closure rate increased from 39% to 81% within 7 days). Therefore, the durable SM‐hydrogels exhibit connective macro‐porous structures and bears versatile functions induced by MXene, demonstrating its great potential for wound tissue engineering.
Monoporous Microsphere as a Dynamically Movable Drug Carrier for Osteoporotic Bone Remodeling
Authors: Li Yawu , Zha Yao , Hu Weikang , Chen Jia , Liu Shuaibing , Zhang Shengmin , Wang Jianglin 
Published: August 2022

AbstractTo repair systematically osteoporotic bone defects, it is important to make an effort to both diminish osteoporosis and enhance bone regeneration. Herein, a specifically monoporous microsphere (MPM) carrier encapsulating dosage‐sensitive and short half‐time parathyroid hormone (PTH) is constructed to tackle the issue. Compared with conventional microsphere carriers involving compact, porous, and mesoporous microspheres, the MPM is desirable to achieve precisely in situ delivery and to minimize topical accumulation. The findings show that the PTH loaded inside MPMs can be gradually released from the single hole of MPMs to improve the initial drug concentration. Also, the MPMs can self‐shift with the daily movement of experimental animals to effectively reduce the topical aggregation of released drugs in vitro. In vivo evaluation further confirms that the implant of MPMs‐PTH plays a dual role in stimulating the regenerative repair of the cranial defect and relieving osteoporosis in the whole body. Consequently, the current work develops a dynamically movable drug delivery system to achieve precisely in situ delivery, minimize topical accumulation, and systematically repair osteoporotic bone defects.
Massively Parallel Selection of NanoCluster Beacons
Authors: Kuo Yu‐An , Jung Cheulhee , Chen Yu‐An , Kuo Hung‐Che , Zhao Oliver S. , Nguyen Trung D. , Rybarski James R. , Hong Soonwoo , Chen Yuan‐I , Wylie Dennis C. , Hawkins John A. , Walker Jada N. , Shields Samuel W. J. , Brodbelt Jennifer S. , Petty Jeffrey T. , Finkelstein Ilya J. , Yeh Hsin‐Chih 
Published: August 2022

AbstractNanoCluster Beacons (NCBs) are multicolor silver nanocluster probes whose fluorescence can be activated or tuned by a proximal DNA strand called the activator. While a single‐nucleotide difference in a pair of activators can lead to drastically different activation outcomes, termed polar opposite twins (POTs), it is difficult to discover new POT‐NCBs using the conventional low‐throughput characterization approaches. Here, a high‐throughput selection method is reported that takes advantage of repurposed next‐generation‐sequencing chips to screen the activation fluorescence of ≈40 000 activator sequences. It is found that the nucleobases at positions 7–12 of the 18‐nucleotide‐long activator are critical to creating bright NCBs and positions 4–6 and 2–4 are hotspots to generate yellow–orange and red POTs, respectively. Based on these findings, a “zipper‐bag” model is proposed that can explain how these hotspots facilitate the formation of distinct silver cluster chromophores and alter their chemical yields. Combining high‐throughput screening with machine‐learning algorithms, a pipeline is established to design bright and multicolor NCBs in silico.