bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Framework to Estimate the Key Point Within an Object Based on a Deep Learning Object Detection
Authors: Kurdthongmee W. , Suwannarat K. , Wattanapanich C. 
Published: July 2023

Automatic identification of key points within objects is crucial in various application domains. This paper presents a novel framework for accurately estimating the key point within an object by leveraging deep neural network-based object detection. The proposed framework is built upon a training dataset annotated with four non-overlapping bounding boxes, one of which shares a coordinate with the key point. These bounding boxes collectively cover the entire object, enabling automatic annotation if region annotations around the key point exist. The trained object detector is then utilized to generate detection results, which are subsequently post-processed to estimate the key point. To validate the effectiveness of the framework, experiments were conducted using two distinct datasets: cross-sectional images of a parawood log and pupil images. The experimental results demonstrate that our proposed framework surpasses previously proposed approaches in terms of precision, recall, F1-score, and other domain-specific metrics. The improvement in performance can be attributed to the unique annotation strategy and the fusion of object detection and key point estimation within a unified deep learning framework. The contribution of this study lies in introducing a novel framework for closely estimating key points within objects based on deep neural network-based object detection. By leveraging annotated training data and post-processing techniques, our approach achieves superior performance compared to existing methods. This work fills a critical gap in the field by integrating object detection and key point estimation, which has received limited attention in previous research. Our framework provides valuable insights and advancements in key point estimation techniques, offering potential applications in precise object analysis and understanding. Doi: 10.28991/HIJ-2023-04-01-08 Full Text: PDF
Development and Algorithmization of a Method for Analyzing the Degree of Uniqueness of Personal Medical Data
Authors: Lampezhev Abas H. , Kuklin Vladimir Zh. , Chervyakov Leonid M. , Tatarkanov Aslan A. 
Published: July 2023

The purpose of this investigation is to develop a method for quantitative assessment of the uniqueness of personal medical data (PMD) to improve their protection in medical information systems (MIS). The relevance of the goal is due to the fact that impersonal PMD can form unique combinations that are potentially of interest to intruders and threaten to reveal the patient's identity and medical confidentiality. Existing approaches were analyzed, and a new method for quantifying the degree of uniqueness of PMD was proposed. A weakness in existing approaches is the assumption that an attacker will use exact matching to identify people. The novelty of the method proposed in this paper lies in the fact that it is not limited to this hypothesis, although it has its limitations: it is not applicable to small samples. The developed method for determining the PMD uniqueness coefficient is based on the assumption of a multidimensional distribution of features, characterized by a covariance matrix, and a normal distribution, which provides the most reliable reflection of the existing relationships between features when analyzing large data samples. The results obtained in computational experiments show that efficiency is no worse than that of focus groups of specialized experts. Doi: 10.28991/HIJ-2023-04-01-09 Full Text: PDF
Pengaruh Kineja Lingkungan dan Pengungkapan Corporate Social Responsibility terhadap Tingkat Profitabilitas
Authors: Desi Raihan Ramdiani  , Nurleli  
Published: July 2023

Abstract. The level of company profitability is one of the most important aspects of company performance, because it can provide a measure of the level of effectiveness of a company's management. The company's activities cannot be separated from the community environment, therefore it is necessary for companies to pay attention to issues of accountability and management of their environment. Especially for companies whose activities are exploring natural resources, such as mining companies. Companies must also have social responsibility by disclosing Corporate Social Responsibility, because transparency in disclosure can build the concept of sustainable development. Therefore, this study aims to determine the effect of environmental performance and disclosure of Corporate Social Responsibility on the level of company profitability by proxy Return on Assets (ROA) in the mining sector listed on the Indonesia Stock Exchange (IDX) in 2018-2021. This study used a verification method with a quantitative approach, with a purposive sampling technique so as to obtain a sample of 16 companies. Based on the results of hypothesis testing, it shows that environmental performance has an effect on the level of company profitability by proxy for ROA and disclosure of Corporate Social Responsibility has no effect on the level of company profitability by proxy for ROA.
Abstrak. Tingkat pofitabilitas perusahaan merupakan salah satu aspek terpenting dalam kinerja perusahaan, sebab dapat memberikan ukuran tingkat efektivitas manajemen suatu perusahaan. Dalam kegiatan perusahaan pun tidak akan bisa lepas dari lingkungan masyarakat, oleh karenanya perlu bagi perusahaan untuk memperhatikan masalah pertanggungjawaban dan pengelolaan atas lingkungannya. Apalagi bagi perusahaan yang kegiatan aktivitasnya mengeksplorasi sumber daya alam, seperti perusahaan pertambangan. Perusahaan juga harus memiliki tanggung jawab sosial dengan pengungkapkan Corporate Social Responsibility, sebab transparansi dalam pengungkapan tersebut dapat membangun konsep pembangunan berkelanjutan. Oleh karena itu, penelitian ini bertujuan untuk mengetahui pengaruh kinerja lingkungan dan pengungkapan Corporate Social Responsibility terhadap tingkat profitabilitas perusahaan dengan proksi Return on Asset (ROA) pada sektor pertambangan yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2018-2021. Penelitian ini menggunakan metode verifikatif dengan pendekatan kuantitatif, dengan teknik purposive sampling sehingga memperoleh sampel sebanyak 16 perusahaan. Berdasarkan hasil pengujian hipotesis menunjukkan bahwa kinerja lingkungan berpengaruh terhadap tingkat profitabilitas perusahaan dengan proksi ROA dan pengungkapan Corporate Social Responsibility tidak berpengaruh terhadap tingkat profitabilitas perusahaan dengan proksi ROA.
Pengaruh Restitusi Pajak Pertambahan Nilai dan Jumlah Pengusaha Kena Pajak terhadap Penerimaan Pajak
Authors: Michel Regita  , Elly Halimatusadiah  
Published: July 2023

Abstrak. Penelitian ini bertujuan untuk mengetahui pengaruh restitusi pajak pertambahan nilai dan jumlah pengusaha kena pajak terhadap penerimaan pajak pertambahan nilai. Pada penelitian ini menggunakan data sekunder dengan metode penelitian deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini seluruh pengusaha kena pajak yang terdaftar di Kantor Pelayanan Pajak X periode 2017-2021. Sampel dalam penelitian ini adalah penurunan realisasi penerimaan pajak pertambahan nilai yang terjadi pada tahun 2017-2021 sehingga diperoleh sampel sebanyak 60 data dengan purposive sampling. Pengujian hipotesis dalam penelitian ini dengan menggunakan analisis regresi berganda. Hasil pengujian hipotesis menunjukan bahwa restitusi pajak pertambahan nilai berpengaruh negatif dan signifikan terhadap penerimaan pajak pertambahan nilai dan jumlah pengusaha kena pajak berpengaruh positif dan signifikan terhadap penerimaan pajak pertambahan nilai. Disarankan dalam upaya meningkatkan penerimaan Pajak Pertambahan Nilai pihak fiskus perlu melakukan sosialisasi kepada pengusaha yang telah terdaftar sebagai pengusaha kena pajak untuk lebih memahami kebijakan dan prosedur restitusi serta memberikan penjelasan mengenai barang atau jasa apa saja yang dapat dikenakan PPN sehingga tidak terjadi kelebihan pembayaran Pajak Pertambahan Nilai.
Abstract. This study aims to determine the effect of value added tax refunds and the amount of taxable entrepreneurs on value added tax revenues. In this study using secondary data with descriptive research methods with a quantitative approach. The population in this study are all taxable entrepreneurs registered at the X Tax Office for the 2017-2021 period. The sample in this study was a decrease in the realization of value added tax revenue that occurred in 2017-2021 so that a sample of 60 data was obtained using purposive sampling. Testing the hypothesis in this study using multiple regression analysis. The results of hypothesis testing show that value added tax refunds have a negative and significant effect on value added tax receipts and the number of taxable entrepreneurs has a positive and significant effect on value added tax receipts. It is suggested that in an effort to increase the receipt of Value Added Tax, the tax authorities need to conduct outreach to entrepreneurs who have been registered as taxable entrepreneurs to better understand the policies and procedures for refunds and provide an explanation of what goods or services can be subject to VAT so there is no overpayment of Value Added Tax.
Studi Kasus KDRT di Polrestabes Bandung Ditinjau dari Aspek Hukum Pidana dan Kriminologi
Authors: Sarah Azkia  , Dian Andriasari  
Published: July 2023

Abstract. Based on data on the handling of domestic violence cases in the PPA Unit of the Bandung Police Station in 2020-2022, out of 44 total crimes in 2022, not a single case reached the court level or was declared P21 by the Prosecutor's Office or the case was declared completed. This study aims to determine how the position of the crime of domestic violence as an offense and to find out what factors caused the majority of the number of cases of domestic violence in 2020-2022 at the Bandung Police Station did not reach the court level in terms of criminal law and criminology. The approach in this research is empirical juridical, using qualitative descriptive research specifications, sources, and data collection techniques used through literature studies with secondary data sources consisting of primary, secondary, and tertiary legal materials. The factors that caused most domestic violence cases in 2020-2022 at the Bandung Police Station did not reach the court level are divided into two factors. First, the internal factors, one of which is that the victim reports the perpetrator only as a deterrent effect, which is then revoked because the victim wants to maintain the household. Second, the external factors, one of which is that the police prioritize the use of mediation as a settlement of domestic violence cases, which causes many domestic violence cases did not go to court.
Abstrak. Berdasarkan data penanganan perkara kekerasan dalam rumah tangga Unit PPA Sat Reskrim Polrestabes Bandung tahun 2020-2022, dari 44 crime total (CT) pada tahun 2022, tidak ada satu pun kasus yang sampai ke tingkat pengadilan atau dinyatakan P21 oleh Kejaksaan maupun perkara yang dinyatakan selesai. Selain itu, pada tahun 2020 dan 2021, terdapat 160 kasus yang belum diselesaikan. Penelitian ini bertujuan untuk mengetahui bagaimana kedudukan tindak pidana kekerasan dalam rumah tangga sebagai delik dan untuk mengetahui faktor apa yang menyebabkan mayoritas angka kasus kekerasan dalam rumah tangga pada tahun 2020-2022 di Polrestabes Bandung tidak sampai ke tingkat pengadilan ditinjau dari aspek hukum pidana dan kriminologi. Metode pendekatan yang dilakukan dalam penelitian ini adalah yuridis empiris, dengan menggunakan spesifikasi penelitian deskriptif kualitatif, sumber dan teknik pengumpulan data yang digunakan melalui studi kepustakaan dengan sumber data sekunder yang terdiri dari bahan hukum primer, sekunder dan tersier. Faktor penyebab mayoritas angka kasus KDRT pada tahun 2020-2022 di Polrestabes Bandung tidak sampai ke tingkat pengadilan terbagi menjadi dua faktor, yaitu faktor internal salah satunya adalah korban melaporkan pelaku hanya sebagai efek jera saja, yang kemudian laporan tersebut dicabut karena korban ingin mempertahankan rumah tangganya; selanjutnya faktor eksternal salah satunya adalah pihak kepolisian mengedepankan penggunaan mediasi sebagai penyelesaian kasus kekerasan dalam rumah tangga yang menyebabkan banyak kasus KDRT tidak sampai ke pengadilan.
Penerapan Metode Cubic Spline Interpolation untuk Menentukan Peluang Kematian pada Tabel Mortalita
Authors: Sofiyani Sri , Permanasari Yurika 
Published: July 2023

Abstract. The mortality table is statistical data from a population that states the probability that someone will die. With the modeling of the mortality table, the probability of someone dying can be known. The mortality table can be estimated by a method, one of which is the Cubic spline Interpolation method to estimate the probability of death for Indonesian people in general. The approximate value of the probability of death for a person at a certain age is obtained from the Cubic spline interpolation followed by the Spline smoothing process. Cubic interpolation is used to estimate the probability value between the values of a person's age at death. The Cubic spline interpolation solution uses a system of linear equations because the cubic function runs from to 1, in this case according to the 2011 mortality table, moves from 0 years old to 111 years old. The solution to a system of linear equations using Gaussian elimination produces a tridiagonal matrix to find out the points as unknown coefficients. The estimated value using the Cubic spline Interpolation method was tested using the MAPE method to determine the accuracy of the approximation value.
Abstrak. Tabel mortalita merupakan data statistik dari suatu penduduk yang menyatakan peluang seseorang meninggal. Dengan adanya pemodelan tabel mortalita maka dapat diketahui peluang seseorang meninggal. Tabel mortalita dapat ditaksir oleh sebuah metode, salah satunya dengan metode Cubic spline Interpolation untuk menaksir peluang kematian masyarakat Indonesia secara umum. Nilai pendekatan peluang kematian sesorang pada umur tertentu diperoleh dari interpolasi Cubic spline yang dilanjutkan dengan proses smoothing Spline. Interpolasi kubik digunakan untuk menaksir nilai peluang diantara nilai-nilai rentang umur kematian seseorang. Penyelesaian interpolasi Cubic spline menggunakan sistem persamaan linier karena fungsi kubik berjalan dari hingga , dalam hal ini sesuai dengan Tabel mortalita 2011, bergerak dari usia tahun hingga usia 111 tahun. Solusi sistem persamaan linier menggunakan eliminasi Gauss menghasilkan matrik tridiagonal untuk mengetahui titik-titik sebagai koefisien yang belum diketahui. Nilai hasil taksiran menggunakan metode Cubic spline Interpolation diujikan menggunakan metode MAPE untuk mengetahui akurasi nilai pendekatan.
Penerapan Metode MOOSRA pada Sistem Pendukung Keputusan Pemilihan E-commerce dalam Pembelian Produk Fashion
Authors: Fitria Elsa , Gunawan Gani 
Published: July 2023

Abstract. The growth of e-commerce in Indonesia continues to increase every year, especially with the pandemic accelerating e-commerce growth so that it is predicted to grow by 91%. Fashion products are a sector that is in great demand by e-commerce users in Indonesia. The many e-commerce platforms available today provide a variety of choices for consumers to buy fashion products according to the desired criteria. For this reason, a decision support system is needed to help the process of selecting e-commerce in the fashion sector with the right method. In this study, the selection of e-commerce in the fashion sector was carried out by applying the Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA) method. The selection process uses 4 e-commerce alternatives, namely Shopee, Tokopedia, Lazada, and TikTok Shop, and the 5 criteria used are price, product, transaction process, service, and attractiveness. In this study the Entropy method was used to determine the weight of the criteria. The results showed that Shopee was an alternative choice for e-commerce in the fashion sector in the case study of active Unisba students with the highest performance score of 2.11960, followed by TikTok Shop of 1.87437 then Tokopedia of 1.53236 and finally Lazada of 1. 48977.
Abstrak. Pertumbuan e-commerce di Indonesia terus meningkat tiap tahunnya, terlebih dengan adanya pandemi mengakselerasi pertumbuhan e-commerce hingga diprediksi bertumbuh sebesar 91%. Produk fashion menjadi sektor yang banyak diminati oleh pengguna e-commerce di Indonesia. Banyaknya platform e-commerce yang tersedia saat ini memberi beragam pilihan bagi konsumen untuk membeli produk fashion sesuai dengan kriteria yang diinginkan. Untuk itu diperlukan sebuah sistem pendukung keputusan untuk membantu proses pemilihan e-commerce di bidang fashion dengan metode yang tepat. Pada penelitian ini dilakukan pemilihan terhadap e-commerce di bidang fashion dengan menerapkan metode Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA). Proses pemilihan menggunakan 4 alternatif e-commerce yaitu Shopee, Tokopedia, Lazada, dan TikTok Shop, serta 5 kriteria yang digunakan yaitu harga, produk, proses transaksi, pelayanan, dan daya Tarik. Dalam penelitian ini metode Entropy digunakan untuk menentukan bobot kriteria. Hasil penelitian menunjukkan bahwa Shopee menjadi pilihan alternatif e-commerce dalam bidang fashion pada studi kasus mahasiswa aktif Unisba dengan perolehan skor kinerja tertinggi yaitu sebesar 2,11960 disusul oleh TikTok Shop sebesar 1,87437 kemudian Tokopedia sebesar 1,53236 dan terakhir Lazada sebesar 1,48977.
Peramalan Jumlah Penumpang Kereta Api Eksekutif di Pulau Jawa Menggunakan Model SARIMA
Authors: Ibrahim Laras Luthfiyyah , Kurniati Eti 
Published: July 2023

Abstract. The number of fluctuating train passengers will especially increase during the Eid al-Fitr, Christmas and New Year holidays. At such times passengers will exceed the available capacity. To provide the best service, it is necessary to know the number of passengers in the future. So that the company can provide according to needs. With this research, it aims to create a model that will be used to predict the number of train passengers on the island of Java in 2023. The method used is Seasonal ARIMA or it can be called SARIMA. This method is a method for a forecast that is seasonal. The results obtained from the model formed are SARIMA(1,0,1)(1,1,0)12. With the forecasting results, namely the number of train passengers on Java Island with the MSE obtained 119.17. From the MSE obtained, forecasting can be said to be accurate.
Abstrak. Jumlah penumpang kereta api berfluktuasi terutama akan meningkat di saat hari raya Idul Fitri, natal dan tahun baru. Di saat seperti itu penumpang akan melebihi kapasitas yang tersedia. PT.KAI dalam meningkatkan kualitas pelayanannya, memerlukan pengetahuan jumlah penumpang di masa yang akan datang. Sehingga perusahaan bisa menyediakan sesuai dengan kebutuhan. Tujuan penelitian ini untuk membuat pemodelan yang akan digunakan untuk meramalkan jumlah penumpang kereta api di Pulau Jawa pada tahun 2023. Metode yang digunakan yaitu Seasonal ARIMA atau bisa disebut SARIMA. Metode ini merupakan metode untuk sebuah peramalan yang bersifat musiman. Hasil yang diperoleh dari model yang terbentuk yaitu SARIMA(1,0,1)(1,1,0)12. Dengan hasil peramalan yaitu jumlah penumpang kereta api di Pulau jawa pada bulan Maret menjelang hari raya Idul Fitri yaitu sebesar 4470 jiwa.
Terapi Berbasis Internet Untuk Meningkatkan Self-Regulasi Pada Mahasiswa Dengan Internet Gaming Disorder
Authors: Purnama Hendra , Hedi Wahyudi  , Suhana  
Published: July 2023

Abstract Excessive gaming behavior is known as internet gaming disorder. One thing that can cause internet gaming disorder is lack of self-regulation, or lack in ability to control and to lead themselves to achive something greater than playing game. In this research we use Internet Delivered Cognitive Behavior Therapy or ICBT as an intervention to counter those problems. This approach was chosen because of CooBT is an approach that was proved effective in reconstructing one’s self-regulation, and an approach that predicted to be effective to counter gaming addiction behavior. Research design that was used in this research is one group pretest-posttest design. Assessment tools that were used in this research is self-regulation in learning created by [1], and the internet gaming disorder scale (IGD-Scale) created by [2]. Sample in this research is college student whom have late in finishing their thesis and have internet gaming disorder condition. Data analysis used in this research in quantitative and qualitative. The result of this research shows that there is effect of internet delivered cognitive behavior therapy in increasing self-regulation in learning in college student whom have late in finishing their thesis and have internet gaming disorder condition.
Abstrak Perilaku bermain game ini memunculkan masalah ketika dilakukan secara berlebihan. Perilaku bermain game secara berlebihan sehingga memunculkan masalah lebih dikenal dengan istilah internet gaming disorder. Salah satu hal yang menyebabkan seseorang mengalami internet gaming disorder adalah self-regulation, atau cara mereka mengontrol diri dan mengarahkan diri pada tujuan yang lebih bermanfaat. Pada penelitian ini, Internet Delivered Cognitive Behavior Therapy atau lebih dikenal dengan istilah ICBT adalah pendekatan yang digunakan untuk mengatasi hal tersebut. Pendekatan ini dipilih karena CBT merupakan salah satu pendekatan yang dianggap efektif untuk merekonstruksi self-regulation dan salah satu pendekatan yang dianggap bakal efektif mengatasi masalah adiksi game. Penelitian ini dilakukan dengan menggunakan desain one group pretest-posttest design. Alat ukur yang digunakan pada penelitian ini adalah self-regulation in learning yang disusun oleh Toering (2012), dan the internet gaming disorder scale (IGD-Scale) yang disusun oleh Lemmens (2015). Sampel pada penelitian ini adalah mahasiswa yang terlambat dalam menyelesaikan tugas akhir dan mengalami internet gaming disorder. Pengolahan data pada penelitian ini dilakukan secara kualitatif dan kuantitatif. Hasil dari penelitian ini menunjukan bahwa intervensi internet delivered cognitive behavior therapy (ICBT) memberikan pengaruh terhadap self-regulation in learning pada mahasiswa yang mengalami masalah dalam penyelesaian tugas akhir dan mengalami internet gaming disorder.