bluuebunny/crossref_metadata_2025 huggingface dataset:
Moral Autonomy and Equality of Opportunity for Algorithms in Autonomous Vehicles
Authors: Brandão Martim
Published: February 2025

This paper addresses two issues with the development of ethical algorithms for autonomous vehicles. One is that of uncertainty in the choice of ethical theories and utility functions. Using notions of moral diversity, normative uncertainty, and autonomy, we argue that each vehicle user should be allowed to choose the ethical views by which the vehicle should act. We then deal with the issue of indirect discrimination in ethical algorithms. Here we argue that equality of opportunity is a helpful concept, which could be applied as an algorithm constraint to avoid discrimination on protected characteristics.
Toward Manageable Data Sources
Authors: Sillberg Pekka
Published: February 2025

As information systems are producing vast amounts of data with ever increasing speed and diversity, the management of data is becoming an important part of gaining the information that we need. With this as the motivation, this paper proposes a Manageable Data Sources framework for the systematic management of data sources. The framework is derived from a new conceptual model of data processing: the Faucet-Sink-Drain model. The framework achieves two aims: the unification of data processing, and secondly, the componentization and decoupling of data processing related tasks. The framework is described and a reference architecture is laid out for the creation of a proof-of-concept implementation to solve the given use case.
An Information Providing Method to Express Train Service Situation by Combining Multiple Sign-Logo Images
Authors: Hayashi Yasuhiro  , Oyokawa Daisuke  , Kiyoki Yasushi  , Mita Tetsuya
Published: February 2025

In this paper, we present information providing a method to realize semantic representation of train service situations by a combination of sign-logo images. Through this method, multiple images having visual meanings such as pictograms, icons and sign-logos are combined to represent images to express train service situations in the railway space based on the knowledge of the railway company such as transfer ways in accidents. Features of this method are as follows: (1) To express events occurred in railway space by combining multiple images as visual communication based on “5W1H” that corresponds with human communication and information understanding. (2) To dynamically calculate the correlation between an event and meaning of the combined sign-logo images. (3) To be associated with the event of a railway space including an attractive tour guide to foreign visitors by combining sign-logo images. We have developed an experimental system as a digital signage and have applied the method in order to realize a sign-based guide at all train stations for foreign visitors in Japan. The effectiveness and feasibility of this method are shown in this paper.
A Correlation Computing Method for Integrating Passengers and Services in Semantic Anticipation
Authors: Yokoyama Motoki  , Kiyoki Yasushi  , Mita Tetsuya
Published: February 2025

New information-provision focusing on individual passengers is expected in a railway environment. Our method realizes multiple semantic spaces, which are selected according to passenger's contexts. By using correlation metrics for the causal interaction of different semantic spaces, this method anticipates the passenger's needs and generates a ranking of services and facilities. Experimental study confirms that the ranking of passenger requirements for services and facilities would change appropriately in response to the causal interaction of the semantic space. The experimental results show the feasibility and applicability of this method.
Named Entity Recognition, Linking and Generation for Greek Legislation
Authors: Angelidis Iosif  , Chalkidis Ilias  , Koubarakis Manolis
Published: February 2025

We investigate named entity recognition in Greek legislation using state-of-the-art deep neural network architectures. The recognized entities are used to enrich the Greek legislation knowledge graph with more detailed information about persons, organizations, geopolitical entities, legislation references, geographical landmarks and public document references. We also interlink the textual references of the recognized entities to the corresponding entities represented in other open public datasets and, in this way, we enable new sophisticated ways of querying Greek legislation. Relying on the results of the aforementioned methods we generate and publish a new dataset of geographical landmarks mentioned in Greek legislation. We make available publicly all datasets and other resources used in our study. Our work is the first of its kind for the Greek language in such an extended form and one of the few that examines legal text in a full spectrum, for both entity recognition and linking.
Coding Suspicion
Authors: Crivella Arthur  , Oliver Wesley M.  , Gray Morgan
Published: February 2025

Legal standards for suspicion involve seemingly limitless possible factors, leaving them vague and subject to concerns of illegitimate biases by decision makers. Beginning with the relatively small number of factors present in drug interdiction stops, a model can be developed that not only predicts judicial behavior but the odds of discovering drugs. This technology will require legislatures or judges to begin the process of determining what numerical threshold of suspicion justifies investigatory detentions and searches.
Legal Representation and Reasoning in Practice: A Critical Comparison
Authors: Batsakis Sotiris  , Baryannis George  , Governatori Guido  , Tachmazidis Ilias  , Antoniou Grigoris
Published: February 2025

Representation and reasoning over legal rules is an important application domain and a number of related approaches have been developed. In this work, we investigate legal reasoning in practice based on three use cases of increasing complexity. We consider three representation and reasoning approaches: (a) Answer Set Programming, (b) Argumentation and (c) Defeasible Logic. Representation and reasoning approaches are evaluated with respect to semantics, expressiveness, efficiency, complexity and support.
Combination of Total Variation and Robust Bilateral Filter in Image Denoising
Authors: Rashid Ali  , Peng Yunfeng  , Muhammad Touseef Iqbal  , Muhammad Irshad
Published: February 2025

This research paper proposes a image denoising algorithms by combining two well-known image denoising techniques: i.e. robust bilateral filter and total variation filter, to obtain a better result of image denoising compared to using an individual filter. From the experimental results on standard images data sets, it is shown that the proposed algorithm results in a better-quality image, both numerically and visually. The image denoising results are compared quantitatively in terms of peak signal to noise ratio (PSNR) and it can be seen that combination of robust bilateral filter and total variation filter results in an improved image as compare to only robust bilateral filter or only total variation filter.
Rough-KNN Noise-Filtered Convolutional Neural Network for Image Classification
Authors: Riaz Saman  , Arshad Ali  , Jiao Licheng
Published: February 2025

Convolutional Neural Networks (CNNs) have been broadly used for image classification. However, with the exponential growth of digital images cause overloading problem which contains increasingly redundant, irrelevant features and noisy data which cause CNNs running gradually and in the meantime its classification accuracy decreasing. In this paper, we propose a 2D-reduction algorithm as data pre-processor for CNNs by using rough set theory with no information loss. 2D-reduction implies that the reduction of data in ways: feature reduction and noisy sample reduction. In the feature reduction stage, removing the set of irrelevant features by using rough set approach and for noisy sample reduction, we proposed novel Rough-KNN Noise reduction algorithm for reduction of noisy samples. The Rough set could adequately select the noisy boundary samples to eliminate on the basis of KNN rules, whose classes have been mislabeled. Experimental results demonstrate the proposed 2D-reduction approach can adequately reduce most of the irrelevant features & noisy samples, which causes the better generalization performance of CNNs.
Chinese Railways Development Level Research Based on Entropy TOPSIS
Authors: Liu Song  , Zhang Tong  , Wang Rong  , Zhang Zeying  , Yang Yanqiang
Published: February 2025

At this stage, China's railways are developing at a rapid pace, but domestic and foreign research still does not have a comprehensive and systematic measure of its development level. This paper starts from the five aspects of facility scale, equipment level, transportation demand, function positioning and operation efficiency, and has established a railway development level comprehensive evaluation index system. A railway development level evaluation model based on Entropy TOPSIS was established to compare and analyze the railway development level of eight countries in the world. The development level of railways in various countries is ranked by the closeness of national railway evaluation indicators and ideal solutions. The results show that the Chinese railway evaluation index has the highest degree of closeness, which is 0.66911, so the development level of China's railways is the highest at this stage.
A Dynamic Non-Interference Trust Chain Model Based on Security Process Algebra
Authors: Meng Fanwen
Published: February 2025

Trust Chain is the key technology of Trusted Computing. For lack of comprehensive theoretical model of Trust Chain, A dynamic Trust Chain Model is proposed based on Security Process Algebra and Non-interference. Then, give the formal description and proof of the model. Finally, Modeling Intel TXT according to the new model semantics and verify the security attributes of the model by automated verification tool.
Region Based Extraction of Plantar Pressure Images with R-CNN and Fast R-CNN
Authors: Li Zairan
Published: February 2025

Comfort is the key aspect in purchasing footwear while precision design on shoe sole and even to shoe last was the fundamental factor in influencing the comfort for the foot. Artificial intelligent technologies were applied in this field, especially on data mining and image mining, a variety of mathematical tools applied for identifying points in an image based on calculating features. Feature of an image is important for retraveling useful information from image dataset. In this paper, we used fast region-based convolutional neural network (Fast RCNN) for plantar pressure image dataset. The region of interest (ROI) extraction was deployed in the proposed model which showed the effectiveness of the proposed methods in the research. The region information extraction will be potential application for conform shoe last customization in industry
Modeling and Optimizing of Traffic Signal Control Based on Timed Colored Petri Nets
Authors: Li Xuan  , Yang Linjian  , Li Huan  , Chen Pei  , An Yisheng
Published: February 2025

Aiming at the low efficiency of traffic at intersections in urban road networks and the traffic signal control strategy hard to meet changes in upstream traffic flow, a method of intersection traffic signal control and optimization based on timed colored Petri net (TCPN) is presented in this paper. Firstly, the timed colored Petri net models of roads, intersection and signal control system are established, and then an optimization formula for traffic flow with the minimum number of vehicles at the intersection is proposed. Using the number of vehicles on the input and output sections of intersections acquired in 15 phase cycles, the phase timing that satisfies the optimization goal is solved to ensure that the number of output vehicles at the intersection is the largest and the average number of vehicles to be passed on the input road section is the minimum. The simulation results show that the traffic capacity at the intersection is significantly improved, and the average number of vehicles on each output road section increased by 13.3%, 9.7%, 9.8% and 4.3%, respectively.
Efficiency Thresholds for the Incremental Constrained Shortest Path Algorithm
Authors: Novikov Boris  , Guralnik Roman
Published: February 2025

Most of the systems that rely on the solution of shortest path problem or constrained shortest demand real-time response to unexpected real world events that affect the input graph of the problem such as car accidents, road repair works or simply dense traffic. We developed new incremental algorithm that uses data already present in the system in order to quickly update a solution under new conditions. We conducted experiments on real data sets represented by road graphs of the cities of Oldenburg and San Joaquin. We test the algorithm against that of Muhandiramge and Boland [1] and show that it provides up to 50% decrease in computation time compared to solving the problem from scratch.
Formal Ontology to the Proof of Facts
Authors: Vetere Guido
Published: February 2025

After the work of Nicola Guarino, formal ontology is available today as a powerful conceptual tool for information systems modelling. In particular, for shared conceptual models, the ontological characterization of predicative symbols may help clarifying their intended semantics. Yet, about twenty five years after Guarino's seminal paper, the penetration of formal ontological tools in modelling languages, as well as the spread of highly formalized conceptual models in business information systems, is still relatively low. This paper aims at elaborating some hypotheses about this fact. Concrete conditions for stipulating semantic agreements, depending on socio-technical architectures, are compared with assumptions of descriptive metaphysics as implemented in today's ontology engineering. As an outcome of this analysis, a clearer separation between linguistic concepts produced in human semiotic processes and metaphysic postulates emerges as a key move for overcoming difficulties and open the way to further developments.
Processes Endure, Whereas Events Occur
Authors: Kassel Gilles
Published: February 2025

The objective of the present essay is to clarify the nature of so-called ‘occurrences’ by attributing distinct modes of existence and persistence to processes and events. In doing so, we break away from the perdurance theory claimed by DOLCE's authors, and we distance our self from mereological analyses (such as those recently used by Guarino to distinguish between ‘processes’ and ‘episodes’). In line with the work of Stout and Galton, we first draw a parallel with how processes and objects endure by proposing that processes have a dynamic presence (contrasting with a static presence for objects). Next, we give events the status of abstract entities by identifying them with objects of thought (by individual or collective subjects). This allows one to distinguish between the existence and occurrence of events. We therefore define the latter as psychological or even social endurants, which may occur contingently.
Towards a New Foundational Ontology of Properties, Attributives and Data
Authors: Herre Heinrich
Published: February 2025

In this paper we outline a foundational ontology of properties, attributives, and data. This paper takes up ideas in [1] and presents a new ontology of attributes, data and properties. This ontology was motivated by the need to contribute to the theoretical foundation for the evolving data science. The current situation of data overload is caused by lack of methods for abstraction and interpretation of data, but also by an insufficient understanding of the relation between data and knowledge. There is a need for an ontological foundation of these notions which provides a framework for the integration of the manifold of types of data. The first version of this ontology was presented in [2]. In the current paper further details of this theory are elaborated and applied to various ontological regions, taken from physics, biology, and agent-driven process generation.
The Discipline of Ontological Engineering
Authors: Grüninger Michael
Published: February 2025

Within Applied Ontology, ontologies are considered to be logical theories that are designed to support search, semantic integration, and decision support. More recently, there has been an effort to systematize this approach within a lifecycle for ontology development, analogous to that found in software engineering. In this paper we will see how the work of Nicola Guarino has laid the foundations for the rigorous discipline of ontological engineering.
Swiss-Meds: An App Fostering Medication Adherence of Swiss Patient
Authors: Ehrler Frederic  , Gschwind Liliane  , Meyer Philippe  , Blondon Katherine
Published: February 2025

Medication adherence is a widely recognized problem that is linked to overuse of healthcare system and negative health outcomes. Among the causes of non-adherence, forgetfulness plays a central role. mHealth interventions are particularly interesting to support medication adherence. Unfortunately, there is a lack of information about the quality and effectiveness of the app available on the market. In this article, we present the design and evaluation of an app for the Swiss market. The app was developed with a user-centered approach and was evaluated by both experts and end-users. The app functions include facilitated medication data entry through barcode scanning, and access to educational materials for specific drugs. Although the evaluation by experts and end-users revealed usability issues, such as the inability to customize the app, and a low evaluation of the performance (subjective assessment), it also found that the app contained most of the core functionalities that are expected for a medication adherence app. These are promising results, and will guide the future development of the app to respond to both experts and user expectations.
Predictive Modelling and Its Visualization for Telehealth Data – Concept and Implementation of an Interactive Viewer
Authors: Sams Michael  , Eggerth Alphons  , Hayn Dieter  , Veeranki Sai  , Schreier Günter
Published: February 2025

Background: Predictive modelling is becoming increasingly important in the healthcare sector. A comprehensive understanding of obtained models and their predictions is indispensable for the development and later acceptance of such systems.
A Comprehensive Tool for Usability Evaluation of Telehealth
Authors: Koohjani Zahra  , Aslani Azam  , Abasi Sanaz  , Kyiani Shamim
Published: February 2025

Introduction: Telehealth has a high potential for delivering healthcare by overcoming the geographical distance, increased access to care, and efficiency. To obtain the potential benefits of telehealth, this system should be usable to the patients and healthcare providers. The aim of this study was to report a new comprehensive tool for assessing the usability of telehealth services and systems, covering different aspects of usability.
Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling
Authors: Balabaeva Ksenia  , Kovalchuk Sergey  , Metsker Oleg
Published: February 2025

We study the way dynamics affects modelling in chronic heart failure (CHF) tasks. By dynamics we understand the patient history and the appearance of new events, states and variables changing in time. The goal is to understand what impact past data has on prediction quality. Three different experiments have been conducted: CHF episode results prediction (better, worse, no change), CHF stage classification and heart rate value prediction. For modelling we use clinical data of CHF patients. For each task the groups of static and dynamic features are selected and analyzed. For each task 3 machine learning algorithms were trained: XGBoost, Logistic Regression, and Random Forest for multi classification and Linear Regression, Decision Tree and XGBoost for the regression task. Different combinations of features were examined from both groups applying forward feature selection algorithm. The results confirm that the highest predictions quality is reached with combination of static and dynamic features.
Meningkatkan Peran Orang Tua dalam Mendukung Proses Belajar Anak: Kolaborasi yang Efektif Antara Sekolah dan Orang Tua
Authors: Syarifah Ida Farida  , Rully Nur Dewanti  , Dien Mardiana
Published: February 2025

Program Pengabdian kepada Masyarakat (PKM) ini dirancang untuk meningkatkan keterlibatan orang tua dalam mendukung proses belajar anak di TK Islam Al-Kamal, Kedaung-Pamulang. Penelitian menunjukkan bahwa rendahnya keterlibatan orang tua dapat berdampak negatif pada perkembangan akademis dan sosial anak, serta mengurangi efektivitas pembelajaran di sekolah. Oleh karena itu, program ini difokuskan pada edukasi orang tua tentang peran mereka dalam pendidikan anak, pengembangan komunikasi yang efektif antara orang tua dan guru, serta penyediaan alat bantu pembelajaran di rumah. Metode pelaksanaan PKM ini terdiri dari pertemuan awal untuk mengidentifikasi kebutuhan, survei preferensi orang tua, dan pelaksanaan webinar selama lima hari berturut-turut yang mencakup materi tentang keterlibatan orang tua, dukungan pembelajaran di rumah, dan komunikasi efektif dengan guru. Evaluasi hasil menunjukkan bahwa kegiatan ini berhasil meningkatkan pemahaman dan keterampilan orang tua dalam mendukung pendidikan anak serta menciptakan sinergi positif antara sekolah dan keluarga. Diharapkan, melalui kegiatan ini, keterlibatan orang tua dalam proses pendidikan dapat berkelanjutan dan berkontribusi pada perkembangan optimal anak-anak
Memanfaatkan Potensi Bank Sampah Mutiara Madani Griya Bunga Asri Desa Cibadung Kecamatan Gunung Sindur Bogor untuk Meningkatkan Kesejahteraan Masyarakat
Authors: Harjoyo  , Waluyo  , Sugiyarto
Published: February 2025

Mitra dalam kegiatan pengabdian kepada masyarakat ini kelompok Bank Sampah Mutiara Madani yang berlokasi di Perumahan Griya Bunga Asri Desa Cibadung RT 002/008 Kecamatan Gunung Sindur, Bogor. Pengabdian kepada Masyarakat ini tentang Memanfaatkan potensi Bank Sampah Mutiara Madani Griya Bunga Asri Desa Cibadung RT 002/008 Kecamatan Gunung Sindur, Bogor untuk Meningkatkan Kesejahteraan Masyarakat. Tujuan Pengabdian kepada Masyarakat yang dilakukan adalah untuk memberikan edukasi mengubah bank sampah dari sekedar tempat pembuangan sampah menjadi sebuah usaha sosial yang berkelanjutan dan memberikan manfaat bagi masyarakat luas. Metode yang digunakan yaitu ceramah dan diskusi. Permasalahan utama yang dihadapi oleh mitra adalah warga belum terbiasa memilah sampah sesuai jenisnya, kurangnya pengetahuan dan akses teknologi pengolahan sampah, dan kesulitan mempromosikan produk daur ulang sampah. Kegiatan pengabdian ini mendapatkan sambutan yang baik dari khalayak sasaran, karena dengan terselenggaranya kegiatan pengabdian, disamping terjalinnya silaturahmi dan kerja sama, juga adanya transfer knowledgesehingga pengelola bank sampah dapat meningkatkan pengetahuan dan motivasi mereka
Membangun Reputasi Sekolah TK sebagai Pilihan Utama: Strategi Pemasaran yang Efektif dan Pengembangan Sumber Daya Manusia
Authors: Irmal Irmal  , Nur Aini Yusuf  , Septi Rostika Anjani
Published: February 2025

Pengabdian Kepada Masyarakat ini bertujuan untuk memperkuat posisi TK Islam Al-Kamal sebagai pilihan utama bagi orang tua dalam memilih sekolah untuk anak-anak mereka. Melalui judul "Membangun Reputasi Sekolah TK sebagai Pilihan Utama: Strategi Pemasaran yang Efektif dan Pengembangan Sumber Daya Manusia," kegiatan ini berfokus pada pengembangan strategi pemasaran yang inovatif serta peningkatan kapasitas sumber daya manusia di sekolah. Metode pelaksanaan mencakup pertemuan awal dengan manajemen sekolah untuk analisis kondisi saat ini, survey preferensi orang tua, serta pelatihan intensif selama lima hari mengenai strategi pemasaran digital, branding, dan pengembangan kompetensi SDM. Hasil yang diharapkan dari kegiatan ini adalah peningkatan pendaftaran siswa baru dan penguatan reputasi sekolah. Dengan penerapan strategi pemasaran yang efektif, diharapkan TK Islam Al-Kamal dapatmenarik lebih banyak calon siswa dan menciptakan dampak positif yang berkelanjutan bagi komunitas sekitar
Pengembangan Sistem Pembukuan Usaha Mikro Kecil Menengah untuk Meningkatkan Kesejahteraan Ekonomi di Desa Cicalengka Kec. Pegedangan Kabupaten Tangerang
Authors: Nur Rachmah Wahidah  , Destian Andhani  , Asep Muhammad Lutfi
Published: February 2025

Tujuan dari kegiatan Pengabdian Kepada Masyarakat ini adalah untuk melaksanakan salah satu Tri Dharma Perguruan Tinggi dan tujuan utamanya adalah untuk memberikan gambaran terhadap apa saja peran sistem pembukuan terhadap pengelolaan keuangan dalam usaha mikro kecil dan menengah dan apa upaya yang dapat dilakukan dalam menumbuhkan wawasan dan menambah bekal ilmu para peserta usaha kecil menengahatau UMKM. Selain itu diharapkan dengan pengabdian kepada masyarakat ini keberadaan perguruan tinggi dapat memberikan kontribusi besar kepada pengembangan dan penerapan keilmuan kepada masyarakat.Pengabdian kepada masyarakat ini bertujuan untuk mengembangkan sistem pembukuan bagi Usaha Mikro, Kecil, dan Menengah (UMKM) di Desa Cicalengka, Kecamatan Pegedangan, Kabupaten Tangerang. Kegiatan ini dilatarbelakangi oleh kebutuhan yang mendesak dari para pelaku. Sistem pembukuan yang baik sangat penting untuk membantu para pelaku UMKM dalam memantau kondisi keuangan usahanya, mengelola arus kas, serta membuat laporan keuangan yang akurat. Dengan sistem pembukuan yang memadai, para pelaku UMKM dapat mengambil keputusan bisnis yang lebih baik dan strategis, yang pada akhirnya berkontribusi terhadap peningkatan kesejahteraan ekonomi mereka. Metode yang digunakan dalam program pengabdian ini meliputi beberapa tahapan, yaitu: (1) analisis kebutuhan dan identifikasi permasalahan UMKM terkait pembukuan, (2) pengembangan modul dan materi pelatihan yang relevan, (3) pelaksanaan pelatihan dan pendampingan kepada pelaku UMKM, serta (4) implementasi sistem pembukuan berbasis teknologi sederhana yang mudah dipahami dan digunakan oleh pelaku UMKM. Pelatihan yang diberikan mencakup pemahaman dasar mengenai pembukuan, teknik pencatatan transaksi keuangan, pengelolaan arus kas, serta penyusunan laporan keuangan. Melalui pengabdian ini, diharapkan mampu meningkatkan kinerja UMKM di Desa Cicalengka. Dengan adanya sistem pembukuan yang lebih baik, para pelaku UMKM dapat mengoptimalkan keuntungan usaha, meningkatkan efisiensi operasional, serta meningkatkan kesejahteraan ekonomi mereka dan masyarakat sekitar. Program ini juga diharapkan dapat menjadi model bagi pengembangan UMKM di wilayah lain yang memiliki permasalahan serupa
Pengaruh Model Pembelajaran (Problem Based Learning) Terhadap Hasil Belajar Mahasiswa pada Mata Kuliah Bahasa Mandarin Program Studi Administrasi Perkantoran D-3 Universitas Pamulang
Authors: Nurhayati  , Zaki Zainal Arifin
Published: February 2025

Penelitian yang berjudul “Pengaruh Model Pembelajaran (Problem Based Learning) Terhadap Hasil Belajar Mahasiswa pada Mata Kuliah Bahasa Mandarin Program Studi Administrasi Perkantoran D-3 Universitas Pamulang” dipilih oleh penulis karena berasal dari pemikiran bahwa selama ini pengajaran hanya terpaku pada dosen (teacher based learning). Oleh karena itu upaya dilakukan untuk meningkatkan mutu pendidikan ke arah pengajaran yang terpaku pada mahasiswa (student based learning). Tujuan dari penelitian ini adalah untuk mengetahui pengaruh model pembelajaran Problem Base Learning (PBL) pada mata kuliah bahasa Mandarin Program Studi Administrasi Perkantoran D-3 Universitas Pamulang. Populasi pada penelitian ini adalah mahasiswa semester 1 regular A kelas V 656 Universitas Pamulang dengan jumlah total 36 mahasiswa. Metode yang digunakan dalam penelitian ini adalah Analisis kuantitatif Eksperimen Semu (Quasi Experiment Design). Jenis Rancangan penelitian Eksperimen Semu ini terbagi menjadi beberapa macam yaitu: the Time Series Exsperiment, the Non-Equivalent Group Design, the Equivalent Time Samples Design. Dari ketiga rancangan penelitian Eksperimen Semu ini, peneliti menggunakan pendekatan The Non-Equivalent Control Group yaitu yang dilakukan dengan cara memberikan Pretest terlebih dahulu kemudian tindakan kelas dan terakhir posttest. Adapun jurnal ilmiah yang menjadi sasaran yaitu jurnal sekretari universitas pamulang, dan luaran penelitian yaitu Publikasi Ilmiah Jurnal Sekretari Universitas Pamulang, dan menjadi pemakalah dalam pertemuan ilmiah lokal.
Upaya meningkatkan minat belajar Anak melalui Program Pesantren Kilat Gampong Rambong Cut Kecamatan Seunagan Kabupaten Nagan Raya
Authors: Efendi Sumardi , Fauza Muflihatul , Alfanma Hardani , Agustina Lia , Purnawi Ratih , Dewi Ayu Mila , Armiya  , Sari Ratna , Asmayuni Rika , Natasya Aqida Sella
Published: February 2025

Pesantren kilat merupakan salah satu wahana alternatif kegiatan ekstrakurikuler di luar sekolah dalam rangka memantapkan pembinaan keimanan dan ketakwaan terhadap Allah SWT. Dosen dan mahasiswa merupakan masyarakat akademik yang wajib melaksanakan tridharma perguruan tinggi guna mencerdaskan generasi bangsa. Dalam penelitian ini penulis berupaya  meningkatkan minat belajar anak­anak melalui program pesantren kilat Gampong Rambong Cut Kecamatan Seunagan Kabupaten Nagan Raya. Dengan menggunakan metode pendampingan Participatory Action Research (PAR). Dari hasil penelitian disimpulkan pesantren kilat merupakan pendidikan diluar sekolah yang sangat di sukai anak-anak dengan materi-materi yang disajikan adalah pengetahuan umum serta pengetahuan keagamaan dalam hal belajar dan mengaji, yang di dalamnya yaitu cara berpidato, mengaji dengan makhraj yang benar, azan, menghafal ayat-ayat pendek, praktek wudhu dan menghafal do’a sehari-hari sehingga dapat mengembangkan karakter dan pengetahuan anak-anak khususnya di bidang agama, melalui program ibadah yang berkesinambungan
Optimalisasi kader DASHAT untuk meminimalisir risiko stunting di Kabupaten Pandeglang
Authors: Ardiyanti Neta , Oktara Tri Windi , Alaniah Nani , Sari Putri Novita , Rahmawati Fadilah Ludia , Sulastri Yeni
Published: February 2025

Tujuan dalam artikel ini adalah untuk meminimalisir risiko stunting dengan mengoptimalisasi kader DASHAT, karena nantinya kader yang akan memberikan penyuluhan kepada Keluarga Risiko Stunting (KRS) terkait dengan pemberian gizi simbang pada balita/baduta, ibu hamil dan menyusui. Metode yang digunakan dalam pengabdian masyarakat ini adalah edukasi, stimulasi dan praktik pengolahan menu makanan untuk ibu hamil dan menyusui, bayi 6-8 bulan, bayi 9-11 bulan, bayi 12-23 bulan. Hasil  dari kegiatan ini menunjukkan bahwa terdapat peningkatan pengetahuan dan pemahaman kader tentang pemenuhan gizi untuk pencegahan stunting. Program DASHAT berdampak positif bagi pengetahuan kader terkait pencegahan stunting dan dapat dijadikan upaya dalam menekan angka stunting di Kabupaten Pandeglang.
Upaya Meningkatkan Pemahaman Masyarakat Terhadap Pendidikan Karakter Berbasis Islam Di Siunggam Jae
Authors: Siti Aulia Aisyah  , Nadia Syahida  , Ihsan Marzuki  , Putri Romadonia Sebayang  , Muhammad Apduh  , Lili Marliani  , Muhammad Husein  , Rispi Yuharni
Published: February 2025

Kuliah kerja nyata (KKN) merupakan salah satu kegitan harus di laksanakan oleh semua mahasiswa stain mandaailing natal untuk menerapkan pengetahuan yang telah di peroleh selama duduk di bangku perkuliahan serta sebagai wujud nyatan pengabdian pada masyarakat.dalam hal itu mahasiswa STAIN mandailing natal mengikuti kuliah kerja nyata yang di laksanakan di desa Siunggam Jae, yang di mulai pada tanggal 04 juli 2023 dengan tema KKN moderat untuk tujuan memberikan pengetahuan mengenai pemahaman pendidikan  terhadap masyarakat, dan memberikan kekompakan dalam masyarakat serta memberi layanan semampu terhadap masyarakat Siunggam Jae, memberikan solusi dan saran terhadap permasalahan baik mengenai pendidikan, keagaman,  kesehatan, ekonomi, dan olahraga. dalam mengatasi permasalahan yang ada di desa Siunggam Jae tersebut KKN STAIN Madina berupaya membantu baik dalam bidang pendidikan dengan membantu pengajar yang ada di TK dan SD Siunggam Jae, serta membuka les privat untuk peserta didik agar masalah pendidikan sedikit terbantu, dan dalam bidang keagamaan mengajak masyarakat mengadakan pengajian agar bisa memberikan pemahaman terhadap pendidikan karakter berbasis agama Islam, sedangkan dalam bidang olahraga menghidupkan olahraga bidang volley ball agar terhindarnya remaja dari pergaulan bebas dan narkoba, dalam hal ini KKN STAIN Madina menghidupkan kembali lapangan volley ball siunggam jae dan sekaligus mengadakan turnamen. Kegiatan ini dilakukan agar dapat meningkatkan pehamanan masyarakat terhadap pendidikan karakter berbasis agama islam. Sehingga terbentuknya karakter berbasis Islam di Desa Siunggam Jae
Pelatihan Olahraga Futsal Sebagai Upaya Mengurangi Aktivitas Game Online pada Anak-Anak di Kelurahan Mataran
Authors: Prayoga Fahry Farhan , Darminto Andi Ogo , Ilahi Rahmat
Published: February 2025

Aktivitas game online yang meningkat di kalangan anak- anak di Kelurahan Mataran menjadi permasalahan utama, mengingat dampaknya terhadap kesehatan dan perkembangan sosial mereka. Untuk mengatasi hal ini, perlu dilakukan kegiatan yang dapat mengalihkan perhatian anak- anak dari kecanduan game online, salah satunya melalui olahraga futsal. Kegiatan ini bertujuan untuk meningkatkan keterampilan olahraga futsal anak- anak di Kelurahan Mataran, serta mengurangi kecanduan bermain game online. Metode yang digunakan dalam kegiatan ini meliputi ceramah untuk memberikan pemahaman teori dasar futsal, serta drill untuk melatih keterampilan teknis futsal secara praktis. Kegiatan ini dilaksanakan dalam bentuk pelatihan teknik futsal, praktik, dan pendampingan. Pelatihan futsal yang dilaksanakan berhasil mengurangi aktivitas bermain game online di kalangan anak- anak di Kelurahan Mataran. Anak- anak menunjukkan peningkatan minat terhadap olahraga futsal serta keterampilan dalam permainan futsal. Kesimpulan bahwa Pe
latihan olahraga futsal terbukti efektif sebagai upaya untuk mengurangi kecanduan game online di kalangan anak- anak di Kelurahan Mataran, Kecamatan Anggeraja, Kabupaten Enrekang.
Pelatihan Konselor Teman Sebaya di SMA se-Kota Langsa
Authors: Chalidaziah Wan , M. Ilyas Sabrida , Nanda Septia
Published: February 2025

Kebutuhan guru BK disekolah SMA se- Kota Langsa masih belum mencukupi secara rasio yang ideal berdasarkan Permendikbud No 111 tahun 2014 yakni 1: 150 siswa. Kondisi lainya adalah remaja belum mampu terbuka dengan guru BK sehingga remaja lebih suka memecahkan masalahnya dengan teman sebaya. Tujuan pengabdian ini adalah mengetahui gambaran pemahaman siswa SMA se- Kota Langsa tentang konselor sebaya di sekolah. Kemudian mengetahui kesiapan siswa SMA se- Kota Langsa menjadi konselor sebaya. Selanjutnya mengetahui efektivitas kegiatan pelatihan mencetak konselor sebaya di SMA se- Kota Langsa. Metode pengabdian menggunakan pendekatan Participatory Action Research (PAR). Pada tahap persiapan membuat skala kebutuhan akan konseling sebaya dan merumuskan rancangan modul. Tahap pelaksanaan pelatihan menggunakan metode off the job training yakni metode pelatihan yang digunakan ceramah, dan FGD. Tahap Monitoring dan Evaluasi menggunakan sistem UCA (Understanding, Comfort and Action) yaitu membuat kelompok konseling teman sebaya di sekolah . Hasil pengabdian memperlihatkan bahwa pada setiap peserta kegiatan mendapatkan peningkatkan pemahaman pada saat sebelum diberikan pelatihan dan sesudah diberikan pelatihan. Ditinjau dari jurnal harian yang berikan oleh peserta sudah mampu menerapkan keterampilan dasar konselor teman sebaya. Keunggulan dari pengabdian ini adalah terbentuknya konselor sebaya yang dapat membantu guru BK dalam menyelesaikn masalah remaja di sekolah dan membantu program prioritas BKKBN Kota Langsa agar para remaja produktif dalam bidang sosial
Food Bank Sebagai Media Penguatan Kesehatan Ibu Dan Anak Untuk Mengurangi Stunting
Authors: Tina Agustinar , Zuliani Rafiza , Nurjannah
Published: February 2025

Abstract Stunting is a significant health issue in Indonesia, including in Langsa City. Chronic malnutrition during the first 1,000 days of life is the main cause of this condition, impacting children's physical and cognitive development. This program aims to reduce stunting prevalence by implementing a food bank as a medium to enhance maternal and child health. The Participatory Action Research (PAR) method was applied to engage the community in identifying needs, planning, implementing, and evaluating the program. Results revealed increased community knowledge about the importance of nutrition through education and the distribution of nutritious food, such as eggs, fish, and vegetables, to vulnerable groups. Furthermore, active community participation in food bank management supports program sustainability. This program successfully reduced malnutrition rates and raised awareness about the importance of balanced nutrition. In conclusion, the food bank can be an effective solution to prevent stunting and sustainably improve maternal and child health.
Keywords: food bank, stunting, maternal and child health, community participation
WEB ДОДАТКИ У ЕКОСИСТЕМІ IОT
Authors: КУНДОС Максим , СОЛОВЕЙ Людмила
Published: February 2025

Інтернет речей (IoT) є динамічною технологічною галуззю, яка охоплює численні сфери, включаючи промисловість, транспорт, охорону здоров'я, енергетику та сільське господарство. IoT дозволяє автоматизувати процеси та забезпечити ефективний обмін даними між різноманітними пристроями через мережу, створюючи інтегровані екосистеми. Мета. Аналіз архітектури та функціональних можливостей Web-додатків в екосистемі IoT, визначення їх переваг та недоліків, а також розробка рекомендацій щодо подолання існуючих проблем. Методологія. У статті розглядається концепція IoT, його архітектура, функціональні можливості та основні області застосування. Особливу увагу приділено IoT Web-додаткам, які виступають основним інтерфейсом взаємодії користувачів з IoT-системами, надаючи можливість дистанційного контролю, автоматизації процесів і аналітики даних у реальному часі. Представлено аналіз переваг та недоліків IoT Web-додатків, таких як зручність використання, інтеграція з різними системами, але також і проблеми, що виникають у вигляді ризиків безпеки, проблем із сумісністю та залежності від стабільного інтернет-з'єднання. Окремо розглядаються сучасні підходи для подолання існуючих проблем у використанні IoT Web-додатків, включаючи новітні технології, що підвищують безпеку, ефективність та знижують витрати, такі як блокчейн, Edge Computing та штучний інтелект. Наукова новизна. У статті також підкреслюється важливість розробки єдиних стандартів для сумісності між пристроями різних виробників, що дозволить створювати ефективні та адаптивні IoT-системи. Запропоновані рішення мають на меті розширити використання IoT у повсякденному житті та бізнесі, сприяючи подальшій цифровій трансформації та підвищенню рівня автоматизації та продуктивності в різних галузях. Висновки. Подальший розвиток технологій, таких як 5G і квантові обчислення, та різних систем захисту, відкриває нові перспективи для масштабування IoT-рішень, забезпечуючи більш швидкий і надійний зв'язок, який стане основою для створення ще складніших і потужніших IoT-екосистем.
ОГЛЯД ТА АНАЛІЗ ІНСТРУМЕНТІВ СТВОРЕННЯ КОРПОРАТИВНОГО СЕРЕДОВИЩА
Authors: МОГИЛЬНИЙ Геннадій , ДОНЧЕНКО Володимир , ДОНЧЕНКО Світлана
Published: February 2025

Стаття присвячена аналізу сучасних підходів до створення об'єднаних інформаційних середовищ для організацій із розгалуженою структурою підрозділів. Особливу увагу приділено використанню сучасних засобів для організації віддаленого доступу для зовнішніх користувачів та інтеграції з локальною мережею підприємства. В умовах необхідності інтеграції локальних мереж підрозділів, що розташовані в різних регіонах, розглянуто рішення, які базуються на технологіях віртуальних приватних мереж (VPN), переадресації портів (PAT) і функції DMZ. Мета роботи – аналіз засобів створення корпоративного середовища в умовах мінімального обсягу фінансування. Методологія. Аналіз наукової літератури з питань створення корпоративного середовища. Аналіз нормативних документів з налаштування різноманітних роутерів. На засадах системного аналізу запропоновано варіанти створення корпоративного середовища в умовах швидкого впровадження нових технологій. Наукова новизна дослідження полягає в обґрунтуванні варіантів створення корпоративного середовища в умовах обмеженого фінансування. Доведено, що технології DMZ та PAT можуть бути застосовано на всіх сучасних роутерах, як засоби створення корпоративного середовища. Встановлено, що використання мережевої технології VPN на клієнтських обчислювальних машинам має суттєві недоліки і може бути застосовано за умови додаткового налаштування. Висновки. У роботі детально проаналізовано особливості впровадження віддаленого доступу до корпоративних ресурсів шляхом налаштування DMZ, PAT та VPN (PPTP, L2TP) на різних моделях роутерів: Tp_link TL-WR840N, Mercusys AC12g, Tp-link AX1500 та Mikrotik. На основі практичних експериментів оцінюються переваги та недоліки кожного методу. Проведений аналіз дозволяє прискорити створення корпоративних мереж у межах обмежених бюджетів, зокрема для малих підприємств і навчальних закладів. Представлено рекомендації щодо модернізації мережевої інфраструктури, вибору роутерів і впровадження засобів контролю доступу, які можуть бути застосовані для побудови інтегрованих інформаційних систем у бізнесі, освіті та інших галузях.
ОПТИМІЗАЦІЯ ПРОЦЕСІВ ТА РЕСУРСІВ В УПРАВЛІННІ БУДІВНИЦТВОМ
Authors: Хитрова Ольга
Published: February 2025

У статті розглянуто питання операційної оптимізації в управлінні будівництвом, особлива увага приділяється промисловим проектам. Досліджуються різні аспекти, зокрема аутсорсинг, грамотне управління ресурсами, аналіз життєвих циклів проєктів і оцінка управлінських здібностей. Новим внеском є синтез цих різноманітних аспектів у цілісний підхід, спрямований на подолання складнощів, притаманних проєктам промислового будівництва. Основна наукова проблема, що розглядається, полягає в підвищенні операційної активності за одночасного забезпечення рентабельності та своєчасної реалізації проєкту в динамічних і складних умовах будівництва. Ідеї, викладені в статті, не тільки показають вдосконалення практики управління проектами, а й створюють сприятливе середовище для майбутніх досліджень і досягнень у сфері оптимізації управління будівництвом.
ПРОБЛЕМНІ АСПЕКТИ ФІНАНСУВАННЯ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ: ФОРМУЛЬНИЙ РОЗПОДІЛ
Authors: Писарчук Оксана
Published: February 2025

Фінансування закладів вищої освіти (ЗВО) є однією з найгостріших проблем освітньої політики. Запровадження формульного підходу до розподілу державного фінансування, мало на меті створення стимулюючої системи, де більш ефективні заклади отримують більші обсяги фінансування. Особливу увагу приділено впливу кількості здобувачів освіти, які навчаються за державним замовленням на формування показників та обсяг фінансування, як складову, яка має найбільший ваговий вплив на результати формульного розподілу коштів. В дослідженні було застосовано інструментарій економіко-математичного моделювання, який дозволило виявити низький рівень стимулюючої функції діючого формульного розподілу коштів. Доведено необхідність удосконалення показників, методики їх формування, збалансування вагових коефіцієнтів, розробки механізмів адаптації фінансування до реальних потреб ринку праці та суспільства.
РОЛЬ МЕНЕДЖМЕНТУ У ЗАПОБІГАННІ ВИГОРАННЮ ПЕРСОНАЛУ: HR СТРАТЕГІЇ ТА ПСИХОЛОГІЧНІ ПІДХОДИ (НА ПРИКЛАДІ BACARA COFFEE)
Authors: Єремія Ганна , Смик Оксана , Підгірна Валентина
Published: February 2025

У сучасному світі в управлінні персоналом важливою проблемою є вигорання співробітників, яке може серйозно вплинути на ефективність компанії, задоволеність працівників і їх загальний психологічний стан. Вигорання не тільки знижує продуктивність праці, але й веде до високої плинності кадрів, зростання рівня стресу і зниження мотивації. Тому менеджмент, що використовує ефективні HR стратегії і психологічні підходи, має важливу роль у запобіганні цього явища. Особливо гостро ця проблема постає для компаній, діяльність яких залежить від високої якості обслуговування та взаємодії з клієнтами. Однією з таких компаній є Bacara Coffee, яка, зіштовхнувшись із високими вимогами ринку, відчуває потребу в ефективних рішеннях для збереження продуктивності й мотивації персоналу. Основними викликами для компанії є високий рівень стресу серед співробітників, монотонність роботи, швидкий темп діяльності та необхідність постійно підтримувати високу якість сервісу.
RESEARCH ON RECONCEPTION OF BUSINESS THROUGH NEW MARKETING TECHNOLOGIES
Authors:   Lviv University of Trade and Economics, Vovchanska Olha , Turchyn Yurii ,   Lviv University of Trade and Economics
Published: February 2025

This article explores the impact of contemporary technologies on the evolution of business and marketing strategies within the digital economy. The authors examine how innovations such as artificial intelligence (AI), Big Data, virtual and augmented reality (VR/AR), blockchain and automation are reshaping traditional marketing methodologies. Particular emphasis is placed on how these technologies enable companies to create personalised offers, optimise customer interaction and enhance the efficacy of marketing campaigns. AI and Big Data optimise marketing processes, personalise interactions and improve decision-making. Blockchain provides transparency in advertising, and VR/AR facilitates immersive experiences, thereby enhancing satisfaction and conversion rates. Modern technologies are transforming business processes, changing approaches to customer interaction and resource management, moving from traditional models to omnichannel marketing, creating digital ecosystems and using innovative customer acquisition strategies. The article analyses the main trends in the marketing activities of companies that are utilising innovative technologies. Real-life cases of leading companies (namely Amazon, Nike, Coca-Cola, Starbucks and IKEA) that have successfully implemented the latest technologies to improve customer experience, increase customer loyalty and boost profitability are examined. The article goes on to discuss the challenges associated with digital transformation, including the high costs of implementing innovative technologies, the lack of qualified personnel, the ethical aspects of data use, and the problems of adapting businesses to rapidly changing market conditions. The authors proffer recommendations for companies, including the investment in innovation, the development of ethical standards, the personalisation of marketing strategies and the experimentation with new content formats. The conclusions emphasise that future research should focus on the integration of the metaverse, augmented reality/virtual reality, multimedia content and the study of changes in consumer behaviour in the digital age. The successful implementation of new technologies necessitates an integrated approach that encompasses technological, ethical and behavioural dimensions, thereby enabling businesses to maintain competitiveness within prevailing market conditions.