bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERANCANGAN SISTEM PENGELOLAAN KEUANGAN HASIL PANEN PERTANIAN DI DESA SIDODADI KABUPATEN BLITAR
Authors: Khoirudda’I Hermawan Muhammad , Pandu Kusum Abdi , Febrinita Filda 
Published: February 2023

Penelitian ini bertujuan untuk membangun suatu aplikasi yang dapat membantu petani lebih maju dan sukses. Sistem keuangan pertanian di desa sidodadi garum yang selama ini masih mempunyai banyak kendala yaitu banyak petani yang melaporkan hasil panen tidak sesuai yang dilaporkan kepada desa, laba untung setelah panan sedikit, sistem pengeluaran dan pemasukan keuangan belum ada dan kurang jelas. Metode penetitian menggunakan Research And Development (RnD) model waterfall, dengan tahapan Requirements, analisis, desain, coding, testing dan operasi, Pengujian aplikasi yang digunakan adalah pengujian blackbox testing, hasil yang diperoleh yaitu sebesar 90,909%, whitebox testing yang dihasilkan yaitu 90,2%, dan pengujian oleh pengguna menghasilkan sebesar 90,8%, juga di uji oleh validator IT yang menghasilkan bahwa aplikasi berjalan dengan yang diharapkan, dapat membantu petani dengan mudah dan tepat presentasi yang dihasilkan yaitu 90%. Penelitian ini menghasilkan sebuah aplikasi pengelolaan keuangan pertanian berbasis web dengan menggunakan metode Researth And Development dan model waterfall di desa Sidodadi Blitar.
KLASIFIKASI INDUSTRI KERAJINAN BERDASARKAN PROVINSI MENGGUNAKAN METODE DECISION TREE UNTUK MEMBANDINGKAN PENGUJIAN ALGORITMA ID3 ALGORITMA C45 DAN ALGORITMA CART
Authors: Amarda Juan , Suarna Nana , Nurdiawan Odi 
Published: February 2023

Pengembangan ekonomi ke arah industri kreatif merupakan salah satu wujud dalam menerima aspirasi dalam mendukung Master plan Percepatan dan Perluasan Pembangunan Ekonomi Indonesia, dengan cita-cita dalam mewujudkan visi Indonesia menjadi negara yang maju. Diantaranya terdapat dalam menuangkan ide dan gagasan, cita-cita, imajinasi agar menjadikan masyarakat dengan kualitas hidup yang tinggi dan sejahtera. Ekonomi yang mencakup industri kreatif, diyakini akan memberikan kontribusi bagi perekonomian bangsanya secara signifikan. permasalahan dalam penelitian ini, yaitu: Bagaimana penerapan algoritma decision tree dapat mengklasifikasikan akurasi data industri kreatif berdasarkan provinsi. Dan bagaimana menganalisis akurasi industri kerajinan berdasarkan provinsi melalui analisa algoritma ID3, C4.5 dan CART. Tujuan penelitian ini adalah mengklasifikasikan berdasarkan sebaran wilayah provinsi dengan tujuan mengumpulkan data yang memiliki akurasi yang akurat sehingga dapat membantu pihak yang berwenang guna mengetahui informasi pengklasifikasian industri kerajinan dengan sebaran berdasarkan provinsi. Penelitian ini dengan metode Decision Tree melalui tahapan dari data mentah, preprocessing data, data bersih, data training, model fit, data testing, model predict, Hasil pengujian menggunakan metode decision tree dengan membandingkan dari ke 3 (Tiga) metode tersebut ternyata menghasilkan data akurasi dan klasifikasi error 92.11% tidak ada perbedaan semua menghasilkan akurasi dan klasifikasi yang sama
SISTEM INFORMASI EKSTRAKURIKULER UNTUK MENINGKATKAN PELAYANAN KEGIATAN DI SMAN 1 SUMBERJAYA
Authors: Khaeru Abdullah , Astuti Rini , Suarna Nana 
Published: February 2023

Belum adanya sistem informasi ekstrakurikuler yang terkomputerisasi di SMAN 1 Sumberjaya, dimana sistem yang lama kurang efektif dalam proses pencarian data, juga tidak dapat mebuat laporan kegiatan secara otomatis. Maka peneliti bertujuan untuk membuat sebuah sistem informasi yang lebih efektif dan efisien dalam pengolahan data untuk meningkatkan pelayanan kegiatan di SMAN 1 Sumberjaya. Metode yang dipakai dalam penelitian yaitu metode kuantitatif, yakni meneliti hubungan antar variabel dengan menguji beberapa teori. Model pengembangan yang digunakan dalam penelitian ini adalah model prototype. Model prototype dipilih karena model ini merupakan model yang paling efektif karena user, bisa menyesuaikan program seperti apa yang hendak dibuat sesuai dengan apa yang mereka inginkan. Sistem Informasi Ekstrakurikuler mempermudah dalam proses akses data, dan pengolahan data di SMAN 1 Sumberjaya. Hasil penelitian menunjukkan bahwa penerapan “Sistem Informasi Ekstrakurikuler” dapat meningkatkan pelayanan kegiatan lebih dari 50%. Hal ini dibuktikan dengan hasil uji hipotesis dimana t hitung sebesar 2,450 dan t tabel 1.699. Maka t hitung lebih besar dari t tabel. Maka disimpulkan penelitian tentang Sistem Informasi Ekstrakurikuler berjalan sebagaimana seharusnya.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI CALON PEGAWAI BARU RUMAH PINTAR CENDIKA AZHARI BERBASIS WEB JUDUL
Authors: Damas Tri Yudha Febri , Paranita Kartika R Kurnia , Chulkamdi M. Taufik 
Published: February 2023

Tujuan di bangun penelitian ini seleksi calon pegawai baru yang dapat memberikan informasi dan rekomendasi pilihan calon karyawan sesuai kriteria yang di tentukan, menggunakan metode waterfall yang terdiri dari 5 tahapan requirement and analysis, design, coding/implementation, testing dan maintenance. memanfaatkan metode profile matching, Data yang digunakan untuk membangun sistem pendukung keputusan didapat dari hasil wawancara dari pemilik maupun admin yayasan rumah pintar cendika azhari. Sistem di rancang mengunakan framework laravel. Hasil dari penelitian ini adalah sebuah sistem seleksi calon pegawai yang hasil akirnya perangkingan. Sistem ini telah dilakuan pengujian agar mendapatkan kesimpulan yang diinginkan dengan cara menetukan hasil presentasi pengujian. Pengujian aplikasi ini mengunakan black box, beta testing dan pengujian validasi ahli IT. Hasil akir pengujian black box mendapat nilai total rata-rata 87,5 yang berarti aplikasi sangat layak digunakan. Sedangkan untuk pengujian beta testing mendapat nilai total rata-rata 85,61 yang berarti aplikasi dapat mempermudah proses pengambilan keputusan. dan hasil dari pengujian ahli IT mendapat nilai total rata-rata aplikasi yang di bangun layak dan sudah bisa digunakan
PENERAPAN ALGORITMA C4.5 UNTUK MENENTUKAN KUALITAS TELUR AYAM HIBRIDA
Authors: Fikri Yunus Moh. , Hartami Santi Indyah , Kirom Sabitul 
Published: February 2023

Penelitian ini menerapkan algoritma C4. 5 untuk menentukan kualitas telur ayam hibridra di CV Senik desa suruhwadang. Penelitian ini bertujuan untuk menentukan kualitas telur ayam hibridra menggunakan algoritma C4. 5. Dengan dilakukannya data mining melibatkan 90 data wawancara tersebut memiliki 2 kategori pilihan yaitu: bagus dan tidak bagus. Terdapat 5 atribut yang mempengaruhi penentuan kualitas telur ayam yaitu: Kebersihan Kulit, Kondisi Kulit Telur, Warna Kulit, Bentuk Telur, Ukuran/Berat. Dengan adanya penelitian ini dapat memudahkan pihak CV. Senik dalam menentukan kualitas telur ayam dengan kendala yang dapat diminimalisir. Berdasarkan hasil penelitian menggunakan algoritma C4. 5 jumlah hasil yang bagus sebanyak 56 dan yang tidak bagus sebanyak 34. Hasil pengunjian menggunakan aplikasi rapid miner tingkat akurasi dalam menentukan kualitas telur rata-rata sebesar 80%. Dapat disimpulkan bahwa algoritma C4. 5 cocok digunakan untuk menentukan kualitas telur ayam hibridra di CV Senik.
Penatausahaan Keuangan Non Tunai pada Bendahara RSUD dr. Rasidin Padang
Authors: Reflinda Reflinda 
Published: February 2023

Penatausahaan keuangan non tunai merupakan langkah awal dalam mewujudkan good governance. Dengan adanya penatausahaan non tunai maka seluruh transaksi pembayaran dapat dilakukan dengan mudah dan efisien. Selain itu penatausahaan keuangan non tunai juga dapat menghasilkan laporan keuangan yang akurat dan aktual sehingga dapat dengan mudah dilakukan pengendalian dan evaluasi terhadap kinerja keuangan.
Penelitian ini bertujuan untuk mengetahui dan mendeskripsikan Penatausahaan Keuangan Non Tunai pada Bendahara RSUD dr. Rasidin Padang, mengetahui kendala-kendala yang dihadapi serta upaya-upaya yang dapat dilakukan dalam mengatasi kendala-kendala tersebut. Menurut Chabib dan Heru (2010:10) pengelolaan keuangan mencakup 5 hal yakni : akuntabilitas, pengukuran kinerja keuangan, kejujuran, transparansi dan pengendalian.
Teknik pemilihan informan adalah purposive sampling. Selanjutnya peneliti menggunakan teknik pengumpulan data dengan melakukan observasi, wawancara dan dokumentasi. Metode penelitian adalah kualitatif deskriptif dengan informan berjumlah 21 orang yang terdiri atas Staf dan Rekanan (pihak ke-3) di RSUD dr. Rasidin Padang. Sumber data diambil dari data primer yang diperoleh langsung dari informan dan data sekunder berupa dokumen-dokumen pendukung.
Hasil penelitian menunjukkan bahwa Penatausahaan Keuangan Non Tunai pada Bendahara RSUD dr. Rasidin Padang secara umum sudah berjalan dengan baik. Namun masih ada terdapat kendala yakni kurang lancarnya akses internet. Oleh karena itu perlu dilakukan peningkatan kapasitas jaringan internet dan peningkatan kualitas perangkat komputer.
Communication Network Reliability under geographically correlated failures using Probabilistic Seismic Hazard Analysis
Authors: Barrera Javiera , Jiménez-Álvarez Dora , Cancela Héctor 
Published: February 2023

<p>The research community’s attention has been attracted to the reliability of networks exposed to large-scale disasters and this has become a critical concern in network studies during the last decade. Earthquakes are high on the list of those showing the most significant impacts on communication networks, and simultaneously, they are the least predictable events. This study uses the Probabilistic Seismic Hazard Analysis method to estimate the network element state after an earthquake. The approach considers a seismic source model and ground prediction equations to assess the intensity measure for each element according to its location. In the simulation, nodes fail according to the building's fragility curves. Similarly, links fail according to a failure rate depending on the intensity measure and the cable's characteristics. We use the source-terminal, and the diameter constrained reliability metrics. The approach goes beyond the graph representation of the network and incorporates the terrain characteristics and the component's robustness into the network performance analysis at an affordable computational cost. We study the method on a network in a seismic region with almost 9000 km of optical fiber. We observed that for source-terminal that are less than 500 km apart the improvements are marginals while for those that are more than 1000 km apart, reliability improves near a 30\% in the enhanced designs. We also showed that these results depend heavily on the robustness/fragility of the infrastructure, showing that performance measures based only the network topology are not enough to evaluate new designs.</p>
Fast-Convergence Digital Signal Processing for Coherent PON using Digital SCM
Authors: Wang Haide , Zhou Ji , Xing Zhenping , Feng Qiguang , Zhang Kuo , Zheng Keshuang , Chen Xi , Gui Tao , Li Liangchuan , Zeng Jianrui , Yang Jinyang , Liu Weiping , Yu Changyuan , Li Zhaohui 
Published: February 2023

<p>It is foreseeable that the 100 Gb/s/λ and beyond passive optical network (PON) will be required in future optical access networks to meet the explosive growth of data traffic. The coherent optical systems could be a promising solution for the future beyond 100G PON. Coherent PON using digital subcarrier multiplexing (DSCM) can provide flexible bandwidth allocation to a large number of access subscribers by dividing subcarriers of the DSCM signal into time slots for time-and-frequency division multiple access. When the optical network unit is allocated a new subcarrier, digital signal processing (DSP) should converge fast in the allocated time slot to ensure a low handoff latency for real-time bandwidth allocation. However, the traditional coherent DSP is hard to realize fast convergence due to blind and complex algorithms. In this paper, we design a specific training sequence (TS) structure and propose data-aided DSP to achieve fast convergence for coherent PON. The feasibility of the proposed scheme is experimentally verified in an 8 Gbaud/SC×8 SCs 400 Gb/s-net-rate coherent PON using DSCM with 16 quadrature amplitude modulation. The experimental results show that fast convergence is jointly realized by the proposed TS structure and data-aided DSP using a 416-symbol TS with a 52 ns duration. The receiver sensitivity at the 20% soft-decision forward error correction limit is approximately −27 dBm and an optical power budget of about 35.5 dB is achieved with a booster amplifier.</p>
Human-as-a-Robot Performance in Augmented Reality Teleultrasound
Authors: Black David , Moradi Hamid , Salcudean Septimiu 
Published: February 2023

<p> <strong>Purpose:</strong> In “human teleoperation” [1], augmented reality (AR) and haptics are used to tightly couple an expert leader to a human follower. To determine the feasibility of human teleoperation, we quantify the abil- ity of humans to track a position and/or force trajectory via AR cues. The human response time, precision, frequency response, and step response were characterized, and several rendering methods were compared. </p>
<p><strong>Methods:</strong> Volunteers (n=11) performed a series of tasks as the fol- lower in our human teleoperation system. The tasks involved tracking pre-recorded series of motions and forces, each time with a different rendering method. The order of tasks and rendering methods was ran- domized to avoid learning effects and bias. The volunteers then performed a series of frequency response tests and filled out a questionnaire. </p>
<p><strong>Results:</strong> Rendering the full ultrasound probe as a position target with an error bar displaying force led to the best position and force tracking. Following force and pose simultaneously was more difficult but did not lead to significant performance degradation versus following one at a time. On average, subjects tracked positions, orientations, and forces with rms tracking errors of 6.2 ± 1.9 mm, 5.9 ± 1.9˚, 1.0 ± 0.3 N, steady-state errors of 2.8 ± 2.1 mm, 0.26 ± 0.2 N, and lags of 345.5 ± 87.6 ms respectively. Performance decreased with input frequency, until the person could no longer follow, depending on the input amplitude. </p>
<p><strong>Conclusion:</strong> This paper characterizes human tracking ability in aug- mented reality human teleoperation, which shows the system’s feasi- bility and good performance, and is important for designing future human computer interfaces using augmented and virtual reality. </p>
On the Vital Aspects and Characteristics of Cryptocurrency – A Survey
Authors: Shah A F M Shahen , Karabulut Muhammet Ali , AKHTER A F M SUAIB , Mustari Nazifa , PATHAN AL-SAKIB KHAN , Rabie Khaled , SHONGWE THOKOZANI 
Published: February 2023

<p> Cryptocurrencies acquire user confidence by making the whole creation and transaction history transparent to the public. In exchange, the transaction history accurately captures the complete range of user activities related to cryptocurrencies. In this paper, the use of data mining methods in Bitcoin transactions is analyzed and summarized. Cryptocurrencies, similar to the well-known Bitcoin, were targeted to ensure transaction security and privacy and overcome the drawbacks of traditional banking systems as well as other centralized systems. We also conduct a thorough analysis of the literature on the challenges and applications of electronic currencies. We outline the evolution of digital currency from electronic cash to cryptocurrencies and put the spotlight on the methods used to increase user privacy. We also highlight security threats in the existing cryptocurrency systems that jeopardize the privacy of Bitcoin users. Finally, we identify several research gaps and trends that need to be looked at further. </p>
Structure of the space of GL4 (Z2)-coinvariants Z2 ⊗ GL4 (Z2) P H∗ (Z42,Z2) in some generic degrees and its application
Authors: Võ Phúc Đặng 
Published: February 2023

<p> Let $A$ denote the Steenrod algebra at the prime 2 and let $k = \mathbb Z_2.$ A very difficult problem in algebraic topology is to determine a minimal set of $A$-generators for the polynomial ring $P_q = k[x_1, \ldots, x_q] = H^{*}(k^{q}, k)$ on $q$ generators $x_1, \ldots, x_q$ with $|x_1|= |x_2| = \cdots = |x_q| = 1.$ Equivalently, one can write down explicitly a basis for the cohit space $\pmb{Q}^{q} := k\otimes_{A} P_q$ in each non-negative degree $n.$ This subject, which has now a long history, is the content of the classical "hit problem" proposed in [Abstracts Papers Presented Am. Math. Soc. \textbf{833} (1987), 55-89]. Furthermore, it is closely related to the $q$-th transfer homomorphism $Tr_q^{A}$ constructed by William Singer in [Math. Z. \textbf{202} (1989), 493-523]. This $Tr_q^{A}$ passes from the space of $G(q)$-coinvariant $k\otimes _{G(q)} P_A((P_q)_n^{*})$ of $\pmb{Q}^{q}$ to the $k$-cohomology group of the Steenrod algebra, ${\rm Ext}_{A}^{q, q+n}(k, k),$ where $G(q)$ denotes the general linear group of degree $q$ over the field $k,$ whereas $P_A((P_q)_n^{*})$ is the primitive part of $(P_q)^{*}_n$ under the action of $A.$ Particularly, Singer conjectured that $Tr_q^{A}$ is a monomorphism, but this remains unanswered for all $q\geq 4.$ The present paper is devoted to investigating this conjecture for rank 4 in some certain internal degrees. Specifically, by the usage of the techniques of the hit problem in four variables, we explicitly determine the structure of $k\otimes _{G(4)} P_A((P_4)_{n}^{*})$ in some generic degrees $n.$ Then, applying these results and a representation of $Tr_4^{A}$ via the lambda algebra, we show that Singer's conjecture is true for rank $q = 4$ in respective degrees $n.$ This has contributed to the final proof of Singer's conjecture in the rank 4 case.</p>
Automatic detection of microcalcifications in whole slide image - comparison of deep learning and standard computer vision approaches
Authors: Clavel Marceau , Sockeel Stéphane , Sockeel Marie , Miquel Catherine , Adam Julien , Lanteri Elisabeth , Pozin Nicolas 
Published: February 2023

<p>Early detection of breast cancer through mammography is crucial for successful treatment. Microcalcifications are small deposits of calcium in breast ducts, they can be an indication of breast cancer and are first detected by mammography. However, their presence must be confirmed by an histopathologist through slides examination. As a help to practitioners, we present an automatic microcalcification detection pipeline in Whole Slide Images (WSI). This pipeline is a patch-based approach, in which patches from epithelial regions are analyzed by a classifier to determine if they contain microcalcifications. We have developed two classifiers for this pipeline, one based on image processing techniques and the other on deep learning. In addition to standard classification metrics, we compare the performance of these two classifiers using custom metrics specifically designed to capture the value brought by the pipeline to pathologists. Both approaches provide promising results. The deep learning classifier has better metrics, but requires more labeled data to be implemented. </p>
Quantized Magnetic Domain Wall Synapse for Efficient Deep Neural Networks
Authors: Dhull Seema , Misba Walid , Nisar Arshid , Atulasimha Jayasimha , Kaushik Brajesh Kumar 
Published: February 2023

<p> Quantization of synaptic weights using emerging non-volatile memory devices has emerged as a promising solution to implement computationally efficient neural networks on resource constrained hardware. However, the practical implementation of such synaptic weights is hampered by the imperfect memory characteristics, specifically the availability of limited number of quantized states and the presence of large intrinsic device variation and stochasticity involved in writing the synaptic state. This article presents on-chip training and inference of a neural network using quantized magnetic domain wall (DW) based synaptic array and CMOS peripheral circuits. The quantization of the synaptic device offers a balanced neural network performance in terms of accuracy, power, and area. A rigorous model of the magnetic DW device considering stochasticity and process variations has been utilized for the synapse. To achieve stable quantized weights, DW pinning has been achieved by means of physical constrictions. Finally, VGG8 architecture for CIFAR-10 image classification has been simulated by using the extracted synaptic device characteristics. The performance in terms of accuracy, energy, latency, and area consumption has been evaluated while considering the process variations and non-idealities in the DW device as well as the peripheral circuits. The proposed quantized neural network architecture achieves efficient on-chip learning with 92.4% and 90.4 % training and inference accuracy, respectively. In comparison to pure CMOS based design, it demonstrates an overall improvement in area, energy, and latency by 13.8×, 9.6×, and 3.5×, respectively. </p>
Autonomous Driving Decision Algorithm for Complex Multi-vehicle Interactions: an Efficient Approach Based on Global Sorting and Local Gaming
Authors: Li Daofei , Zhang Jiajie , Liu guanming 
Published: February 2023

<p>For autonomous driving, it is important to develop safe and efficient decision algorithms to handle multi-vehicle interactions. Game theory is suitable to manage the interactive driving decision modelling, however, common approaches of multi-player game formulation is computationally complex for dynamic and intense interactions. The main contributions of this work are two-fold: 1) a global sorting-local gaming framework, namely GLOSO-LOGA, is proposed to solve the intersection interaction problem for autonomous driving, which can comprehensively consider the advantages of multi-vehicle collaboration and single-vehicle intelligence approaches; 2) an interaction disturbance function is used to quantify the impact of indirect interactions on ego vehicle. To validate the algorithm performances, corner case simulations and human-in-the-loop simulator experiments are carried out, in which a four-armed intersection scenario with various urgent and challenging interaction conditions is used. Results show that compared to the traditional approach that decomposes a multi-vehicle game into multiple two-vehicle games, the proposed algorithm can improve both safety and traffic efficiency in intensively interactive driving scenarios even in complex and urgent cases. It may be potentially applied in handling autonomous vehicle's dynamic interactions with multiple road users.</p>
A Wearable Wireless Magnetic Eye-Tracker, in-vitro and in-vivo tests
Authors: Bevilacqua Giuseppe , Biancalana Valerio , Carucci Mario , Cecchi Roberto , Chessa Piero , Donniacuo Aniello , Mandalà Marco , Stiaccini Leonardo , viberti francesca 
Published: February 2023

<p>A wireless, wearable magnetic eye tracker is described and characterized. The proposed instrumentation enables simultaneous evaluation of eye and head angular displacements. Such a system can be used to determine the absolute gaze direction as well as to analyze spontaneous eye re-orientation in response to stimuli consisting in head rotations. The latter feature has implications to analyze the vestibulo-ocular reflex and constitutes an interesting opportunity to develop medical (oto-neurological) diagnostics. Details of data analysis are reported together with some results obtained <em>in-vivo</em> or with simple mechanical simulators that enable measurements under controlled conditions. </p>