bluuebunny/crossref_metadata_2025 huggingface dataset:
Edukasi Penerapan Keselamatan dan Kesehatan Kerja di Lingkungan Rumah Tangga Kelurahan Jabungan Kota Semarang
Authors: Prasetio Diki Bima , Rusmitasari Heni , Pramesti Shinta Dwi Surya , Putri Nasya Adelia , Sahiroh Eli , Setyaningsih Yuliani
Published: July 2024

Rumah merupakan salah satu tempat paling berbahaya. Permasalahan yang terjadi di masyarakat di Desa Jabungan adalah terjadi kecelakaan saat dirumah seperti terpeleset, terjatuh, tersetrum, keracunan dan lainnya. Diperkuat dengan hasil wawancara menjelaskan bahwa 70,6% masyarakat yang memiliki riwayat kecelakaan di lingkungan rumah tangga. Sehingga tim pemberdayaan saat itu, membuat perencanaan dalam upaya meminimalisir terjadinya kecelakaan tersebut, dengan tujuan memberikan edukasi K3 di lingkungan rumah tangga di Kelurahan Jabungan, Kota Semarang. Kegiatan pemberdayaan ini menggunakan metode ceramah dan diskusi yang diikuti oleh 34 warga. Diawali dengan pemberian kuesioner pre-test untuk mengidentifikasi pengetahuan peserta. Edukasi diberikan menggunakan materi K3 rumah tangga melalui PowerPoint. Waktu pelaksanaan ini pada September 2023. Setelah itu, dilakukan post-test untuk mengukur peningkatan pengetahuan peserta. Peserta kegiatan mayoritas berusia lebih dari 35 tahun (55,9%) dan sebagian besar berjenis kelamin perempuan (58,8%). Sebanyak 70,6% warga mengaku memiliki riwayat kecelakaan di lingkungan rumah tangga. Terdapat peningkatan pengetahuan sebelum dan sesudah pemberian edukasi, yang ditunjukkan oleh hasil uji wilcoxon dengan nilai p=0,000, menunjukkan adanya perbedaan sebelum dan sesudah edukasi. Edukasi K3 di lingkungan rumah tangga terbukti efektif dalam meningkatkan pengetahuan warga Kelurahan Jabungan. Peningkatan ini menunjukkan pentingnya edukasi K3 dalam mengurangi risiko kecelakaan rumah tangga dan meningkatkan kesadaran masyarakat tentang pentingnya penerapan prinsip-prinsip keselamatan di rumah.
Peningkatan Kesehatan Masyarakat Melalui Penyuluhan Dan Workshop Pemanfaatan Rumput Laut Di Pulau Pramuka Kepulauan Seribu
Authors: Fauziah Siva , Andriansyah Lucky , Amalia Siska , Devinda Rinova , Muftiyah Alvi Nur , Sholihah Anna Zahratas , Hafiz Muhamad
Published: July 2024

Kurangnya pengetahuan dan kesadaran masyarakat tentang nilai gizi dan potensi dari rumput laut. Banyak Masyarakat pulau pramuka yang belum memanfaatkan rumput laut sebagai sumber pangan atau produk bernilai tambah, sehingga peluang untuk meningkatkan kesehatan dan ekonomi lokal belum tergali secara maksimal. Rumput laut telah dikenal sejak lama memiliki berbagai manfaat kesehatan dan telah digunakan dalam berbagai produk, termasuk makanan, minuman, dan produk perawatan kulit. Rumput laut dan ekstraknya mengandung berbagai senyawa kimia yang berperan sebagai antioksidan, termasuk senyawa fenol, asam askorbat, glutathion, karotenoid serta beberapa senyawa polifenol lain. Tujuan dari Kegiatan ini disamping sebagai salah satu program kerja KKN Mahasiswa Institut Sains dan Teknologi Al-Kamal Jakarta (ISTA) adalah untuk memberdayakan masyarakat Pulau Pramuka dengan pengetahuan dan keterampilan untuk memanfaatkan sumber daya alam mereka sendiri. Dalam kegiatan ini, metode yang digunakan adalah edukasi dan workshop sosialisasi kepada masyarakat di Pulau Pramuka, Kepulauan Seribu untuk secara langsung menambah pengetahuan tentang pemanfaatan dan pengolahan rumput laut yang berpotensi untuk meningkatkan Nilai Kesehatan Masyarakat. Dengan memanfaatkan rumput laut secara bijaksana, masyarakat Pulau Pramuka dapat merasakan manfaat kesehatan yang berkelanjutan. Selain itu, edukasi dan pelatihan lebih lanjut tentang pemanfaatan rumput laut akan semakin memperkuat pemberdayaan masyarakat setempat.
Improving Substance Use Screening among Teens utilizing S2BI in a Pediatric Primary Care Clinic
Authors: Diez John Robyn , Dharmasaputra Tarathya , Ayensu Marian , Eletta Ruth , Giri Abhishek , Medows Marsha
Published: July 2024

Improving Substance Use Screening among Teens utilizing S2BI in a Pediatric Primary Care Clinic
An examination of the link between organizational culture and strategy formulation in a selection of Iraqi private universities
Authors: Ahmed Ahmed ,   Business Administration Department, Baghdad College of Economic Sciences
Published: July 2024

This study aims to investigate the connection between organizational culture and strategy formulation in several private colleges in Iraq, as organizational culture is a major factor in the success or failure of organizations, and it is a crucial element in organizational transformulation and growth, which is a characteristic of the modern age. This research seeks to explore the significance of organizational culture by looking at its resurgence, its cultural makeup, and the dimensions of strategy formulation in universities and private colleges. It will then examine the connection between organizational culture and strategy formulation among the study sample. The hypothesis is that there is no meaningful relationship between organizational culture and strategy formulation. The research sample of (100) lecturers from (10) private universities and colleges was surveyed using a questionnaire to assess the interest in organizational culture in the educational community. The results revealed that there is a relative interest in the culture, but it is not given an important role in formulating the strategy. It was suggested that mental and intellectual abilities and experiences should be harnessed through dialogue and direct training to transform them into a powerful tool for formulating educational strategy.
A Review on the Neutrosophic Number Theory Based Cryptography and Neutrosophic Public Key Crypto-Systems
Authors: Ali Ali ,   Tishreen University, Faculty of computer engineering and automation, Latakia, Syria
Published: July 2024

The main objective of this chapter is to introduce the concept of neutrosophic number theory, and to demonstrate its potential applications in modern cybernetic systems. The chapter will also explore the possibility of utilizing neutrosophic theory to enhance existing security algorithms, including a detailed explanation of the neutrosophic version of the RSA algorithm. Furthermore, the chapter will present a novel neutrosophic version of the Diffie-Hellman key exchange algorithm.
Multi-Criteria Decision-Making Methodology for Sustainable Crop Selection
Authors: Ahmad Ahmad ,   Mutah University, Faculty of Science, Jordan,   Gaziantep University, Department of Mathematics, Gaziantep, Turkey, Ozcek Murat
Published: July 2024

Choosing the best biomass crop option for producing biofuel requires a decision-making model because of the many factors involved, the subjective nature of human judgement, and the inherent unpredictability. The neutrosophic type 2 is a valuable tool for handling the ambiguous, inconsistent, and uncertain data often appearing in real-world decision-making situations. Therefore, this study aims to provide a new framework for weighted aggregated sum product assessment (WASPAS) that can be used to solve multi-criteria decision-making (MCDM) issues using neutrosophic type 2 data. The criteria weights are computed. The results show the economic factor has the highest importance in all requirements. This study used nine criteria and twenty alternatives. The WASPAS method was used to rank the other options. The sensitivity analysis is performed under different cases to show the stability of the results. The results show the rank is stable under different cases in this study.
On Two New Algorithms for Solving Mixed Integer Linear Programming Problems and Their Applications
Authors: Taher Taher ,   Computer Techniques Engineering Department, Al-Mustaqbal University, Babil, Iraq
Published: July 2024

The objective of this paper is to introduce two new algorithms for dealing with mixed integer linear programming problems, where the first method will be applied to get the efficient cut in the standard cutting plane procedure to obtain the same optimal solution. The second method will be applied with many special conditions to get the global solution instead of the local solution by using cutting-plane and other famous algorithms. On the other hand, we compare our results to the other obtained results by applying other algorithms.
Energy saving of cluster computing by CPU frequency Tuning using genetic algorithm
Authors: Zainab Zainab ,   College of Education for Human Sciences, University of Karbala, 56001, Iraq,   Department of Air Conditioning and Refrigeration, University of Warith Al-Anbiyaa, Karbala 56001, Iraq,   Department of Computer Science, College of science for women, University of Babylon, Babylon, 51002, Iraq,   Department of Cyber Security, College of Sciences, Al-Mustaqbal university, 51001, Babylon, Iraq,   Department of Computer Science, College of science for women, University of Babylon, Babylon, 51002, Iraq, Abduljalil Nihad , Fanfakh Ahmed B. M. , Al-Qurabat Ali Kadhum M. Al , Alwan Esraa H.
Published: July 2024

Dynamic voltage and frequency scaling (DVFS) is a tool used primarily to decrease computer processor energy consumption by lowering its operational frequency. Their only downside is that they distract from the efficiency of parallel applications while operating on parallel platforms. In a heterogeneous cluster architecture, however, a genetic algorithm is being implemented and applied to model the best trade-off between energy-saving and parallel application performance degradation. The proposed algorithm selects the best frequency vector in order to accomplish these objectives by providing the same compromise. So, the objective function of the genetic algorithm at the same time gives limited energy consumption and minimum decreases in performance. The SimGrid simulator will be used for all experiments. The suggested algorithm saves the average energy by (20 %) and the application performance degrades to the limit (0.15 %).
An effective Web System for Weather monitoring using Artificial Neural Network Based on Internet of Things and Cloud Computing
Authors: Refed Refed ,   Al Qasim Green University, Babylon, Iraq,   Babylon University, Collage of engineering, Babylon, Iraq,   Reconstruction and Projects Department, University of Baghdad, Baghdad, Iraq,   Info.  Comm. Engineering, Al-Nahrain University, Baghdad, Iraq; Commission of Care for Persons with Disabilities and Special Needs, Ministry of Labor and Social Affairs, Baghdad, Iraq, Jabbar Nahla Ibraheem , Hassan Zaid Th , Jaleel Refed Adnan
Published: July 2024

This research presents an effective web system for weather monitoring based on the Internet of Things (IoT) and cloud computing. The three primary parts of the system are an online application, a cloud platform, and Internet of Things-based weather stations. Periodically, IoT-based weather stations gather meteorological data and send it to a cloud platform. The ANN model can access the meteorological data that is stored in a database by the cloud platform. ANN model utilizes the meteorological data to produce predictions for several weather factors. The web application gives users access to real-time weather data and forecasts.
Software Testing Using Cuckoo Search Algorithm with Machine Learning Techniques
Authors: Deepashree Deepashree ,   Research Scholar, Dept of Computer Science and Engineering, Dayananda Sagar University, Bengaluru, India,   Professor, Dayananda Sagar University, Bengaluru, India, Parveen M. Sahina
Published: July 2024

Software testing are any errors, flaws, bugs, mistakes, failures in a piece of software that might cause the programme to produce incorrect or unexpected results. Testing in software almost always increase both the time and money needed to finish a project. And finding bugs and fixing them is a laborious and expensive software process in and of itself. While it's unrealistic to expect to completely eradicate all testing from a project, their severity may be mitigated. It is possible to predict where bugs may appear in software using a method known as software defect prediction (SDP). The goal of each software development project should be to provide a bug-free product. Predicting where bugs may appear in code, often known as software defect prediction (SDP), is an important part of fixing software. Software of a high calibre should have few bugs. A software metric is a quantitative or qualitative evaluation of some aspect of the programme or its requirements. One of the more recent population-based algorithms, Cuckoo Search (CS) was inspired by the flight patterns of some cuckoo species as well as the Lévy flying patterns of other birds and fruit flies. The needs for international convergence are met by CS. KNN is a significant non-parameter supervised learning technique. This paper presents an overview of Stochastic Diffusion Search (SDS) in the form of a social metaphor to illustrate the processes by which SDS allots resources. The best-fit pattern identification and matching difficulties were addressed by SDS using a novel probabilistic method. As a multiagent population-based global search and optimization method, SDS is a distributed model of computing that makes use of interaction amongst basic agents. The behaviour of SDS is described by studying its resource allocation, convergence to global optimum, resilience, minimum convergence criterion, and linear time complexity within a rigorous mathematical framework, setting it apart from many nature-inspired search algorithms. This paper proposes a hybrid optimization strategy based on CS-SDS techniques. By using the global search strategy solution of the SDS algorithm, this hybridization idea aims to enhance the cuckoo bird's search strategy for the optimum host nest. To that end, the SDS method would be used to place the cuckoo egg in the most advantageous location. When compared to other classifiers, PC2's improved performance may be attributed to its higher recall values. When compared to the Naive Bayes and Radial Bias Neural Network classifiers, the KNN performs 7.64% and 2.20% better, respectively.
Transfer Learning and Optimised Firefly Neural Network for Lung Cancer
Authors: A. A. ,   Assistant Professor, Department of Electronics and Communication Science, DRBCCC Hindu College, Pattabiram, Chennai-72, Tamil Nadu, India,   Assistant Professor, Department of Electronics, Erode Arts and Science College, Erode, Tamil Nadu, India, P.Gowthaman P
Published: July 2024

Today's clinical analysis and precise illness detection are mandated requirements for the development of intelligent expert systems. Since lung cancer affects both men and women equally and has a greater mortality rate than other illnesses, a more complete examination is needed to diagnose lung cancer. More helpful information regarding a lung cancer diagnosis may be provided by images from a computer tomography (CT) scan. Various machine learning and deep learning algorithms are created to enhance the medical treatment process using CT scan input pictures. But research still has a bad side when it comes to creating a precise and intelligent system. In order to improve the detection of lung tumors from the CT input images, this paper presented Firefly optimized pre trained transfer learning. The previously trained model VGG-16 is used in this paper to extract features more effectively, using the features chosen via the firefly optimization approach to increase classification accuracy while reducing complexity. The thorough testing done with the “LUNA-16 LIDC Lung image” datasets is assessed studied along with other performance measures like accuracy, precision, recall, specificity, and F1-score. Investigation results show that the suggested design outperformed the “DenseNet, AlexNet, Resnets-50, Resnets-100, VGG-16 Inception models” and reached the top results with 98.5% accuracy, 99.0% precision, 98.8% recall, with 99.1% F1-score.
LoRa Architecture-Enabled Intelligent for Agriculture with Deep Learning Architecture
Authors: K K ,   Assistant professor, School of Computer Science and engineering. VIT, Chennai,   Department of Computational Intelligence, School of computing, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India.603203,   Professor, Department of ECE, Mahendra Institute of Technology, Namakkal, India,   Assistant Professor, Department of ECE, SR University, Warangal, Telangana State,   Assistant Professor, ECE, Panimalar Engineering College, Chennai, D Anitha , S.Prabu S , B.Girirajan B , M Arun
Published: July 2024

The agricultural industry faces significant challenges in improving efficiency and productivity, particularly in monitoring crop health and environmental conditions. Traditional methods are often labor-intensive, time-consuming, and lack real-time data, leading to suboptimal decision-making. Recent advancements in Internet of Things (IoT) and Artificial Intelligence (AI) technologies offer promising solutions. Long Range (LoRa) communication, a type of low-power wide-area network (LPWAN), enables long-distance data transmission with minimal power consumption, making it ideal for rural and expansive agricultural areas. When combined with deep learning, which can analyze large volumes of data to generate predictive insights, these technologies have the potential to revolutionize agricultural practices by providing farmers with timely and accurate information to optimize crop management and resource utilization. This study introduces an intelligent mote for agricultural applications, leveraging Long Range (LoRa) communication and deep learning techniques to improve precision farming. Traditional agricultural monitoring methods are labor-intensive and lack real-time insights. To address this, the mote is equipped with sensors to monitor temperature, humidity, soil moisture, and light intensity, transmitting real-time data over long distances with minimal power consumption using LoRaWAN. The collected data is processed by deep learning models to predict crop yield and identify potential issues. Field tests demonstrated a 15% improvement in yield prediction accuracy and a 20% reduction in water usage compared to traditional methods. These results highlight the effectiveness of integrating LoRa and deep learning in enhancing agricultural resource management and productivity.
On The Bayesian Estimation of Parameters of SQDM
Authors: admin admin ,   College of Pharmacy, AL-Farahidi University, Baghdad, Iraq
Published: July 2024

This work is concerned with the problem of estimating parameters of spatial quadratic models by Bayesian technique (SQDM). This technique involves the prior information of the first and second moment of the parameters, where its estimation model is called the Bayesian quadratic unbiased estimator. The results of the estimation are taken in compared with the estimates of minimum norm quadratic unbiased estimators.
On the safety of life support facilities in the activities of law enforcement agencies
Authors: Борбат А.В.
Published: July 2024

В статье рассмотрены вопросы, связанные с обеспечением безопасности объектов жизнеобеспечения в деятельности правоохранительных органов России. Автором приводятся статистические сведения о количестве зарегистрированных преступлений, предусмотренных ст. 215.2 УК РФ, анализируется тенденция их развития. Автором приводятся конкретные формы деятельности органов внутренних дел Российской Федерации, позволяющие повысить безопасность рассматриваемых объектов. В статье говорится о необходимости создания обособленных специальных подразделений, деятельность которых будет направлена на предупреждение, раскрытие и расследование преступлений, совершенных в отношении объектов жизнеобеспечения.

The article discusses issues related to ensuring the safety of life support facilities in the activities of law enforcement agencies in Russia. The author provides statistical information on the number of registered crimes under Article 215.2 of the Criminal Code of the Russian Federation, analyzes the trend of their development. The author provides specific forms of activity of the internal affairs bodies of the Russian Federation, which make it possible to increase the safety of the objects under consideration. The article considers the need to create separate special units whose activities will be aimed at preventing, uncovering and investigating crimes committed against life support facilities.
The use of unmanned aerial vehicles to prevent environmental crime in the Khanty-Mansiysk Autonomous Okrug – Yugra
Authors: Шапошников А.С.
Published: July 2024

В статье анализируется уровень латентности экологической преступности, определяются факторы, его обуславливающие: особенности территории, на которой совершаются преступления, и неэффективность действующей системы мер по предупреждению экологической преступности (непосредственное обнаружение). На примере Ханты-Мансийского автономного округа – Югры как региона, наиболее подверженного негативному антропогенному воздействию и загрязнению окружающей среды нефтяными продуктами, устанавливается, что добровольное сообщение недропользователями об инцидентах на трубопроводе не является достоверным способом фиксации нарушения состояния природной среды. В связи с неэффективностью непосредственного обнаружения фактов совершения экологических преступлений предлагается внедрить в деятельность государственных органов беспилотные летательные аппараты, которые позволяют охватить в сравнении с пешим способом намного бо́льшую территорию и зафиксировать правонарушения, установление которых затруднительно в процессе традиционного патрулирования, осуществляемого на подконтрольной территории.

The article analyzes the level of latency of environmental crime, determines the factors that cause it: the characteristics of the territory where crimes are committed, and the inefficiency of the current system of measures to prevent environmental crime (direct detection). Using the example of the Khanty-Mansiysk Autonomous Okrug – Yugra as the region most susceptible to negative anthropogenic impact and environmental pollution by oil products, it is established that voluntary reporting by subsurface users about incidents on the pipeline is not a reliable way to fix violations of the state of the natural environment. Due to the ineffectiveness of direct detection of the facts of environmental crimes, it is proposed to introduce unmanned aerial vehicles into the activities of state bodies, which make it possible to cover a much larger territory in comparison with walking and record offenses, the establishment of which is difficult in the process of traditional patrolling carried out in a controlled territory.
Ciprofloxacin Affect Sperm Quality and Induced Testicular and Hepatic Injury in Male Mice
Authors: Samira Sasi  , Nuri Awayn  , Walid Saadawi  , Ragil Prastiya
Published: July 2024

Ciprofloxacin (CPFx) is one of a second-generation fluoroquinolones antibiotic and is prescribed a lot for curing bacterial infection. The aim of this study was to investigate of impact CPFx on sperm characteristics, liver DNA and histological structure of liver and testes. Twenty-four male mice aged 7-10 weeks were divided into three groups of eight. The first group (control) was given distilled water. The second and third groups received CPFx with doses 500 and 750 mg/kg respectively. All treatments were administrated orally for 14 days. Three untreated females were put with one treated male for mating. At the end of dosing period, mice were killed, testes and liver were removed and weighed. Sperm parameters, testosterone level and liver DNA were measured. Histopathology of liver and testes was carried out. The results showed that CPFx significantly affected liver DNA, sperm motility and morphology as well as it caused histopathological alterations of hepatic and testicular tissues. Moreover, it led to a significant elevation in the percentage of dead fetuses and also deformity fetuses. The results indicate that CPFX has detrimental effects on sperm quality, liver DNA and histological structure of testes and liver; therefore, it should be used with great caution
Integrasi Manajemen Ta'an Tou dalam Pendidikan Sebagai Upaya Pembentukan Budaya Sekolah yang Kolaboratif dan Berkesinambungan
Authors: Karoso Subianto , Cahyono Budi
Published: July 2024

Integrasi Manajemen Ta'an To'u merupakan solusi penting yang dapat dimanfaatkan oleh kepala sekolah khususnya di Kabupaten Lembata untuk menumbuhkan budaya sekolah yang kolaboratif dan berkelanjutan. Model manajemen ini mengacu pada serangkaian prinsip dan praktik yang dapat diadaptasi dari budaya Lamaholot untuk menciptakan lingkungan kerja yang kolaboratif dan inklusif. Prinsip-prinsip tersebut dilandasi oleh nilai-nilai seperti kebersamaan, persatuan, dan kerjasama. Tahapan penerapan model manajemen Ta'an To'u meliputi memimpin, memotivasi, merencanakan, mengarahkan, mengatur staf, mengorganisasikan, menggerakkan, merefleksikan, meningkatkan, dan mengembangkan. Manajemen Ta'an To'u menghadirkan pendekatan holistik terhadap manajemen dan organisasi, yang relevan dengan pengembangan budaya sekolah kolaboratif. Di bidang pendidikan, konsep ini dapat diadaptasi untuk menciptakan lingkungan belajar yang lebih inklusif dan terintegrasi.
Analisis Kebijakan Keamanan Cyber: Study Kasus Implementasi Perlindungan Data Pribadi Dalam Era Digital
Authors: Nirwana Dwi , Nurjannah Ely , Marpaung Charoline Renta Anggriani , Wijaya Hansein Arif
Published: July 2024

Data Pribadi adalah konsep pengaturan privasi dan data pribadi dalam satu instrumen hukum. Di Indonesia, pengaturan ini belum konvergen. Prinsip hak privasi terhadap data pribadi penting dalam era digital untuk melindungi dan mengontrol data secara etis. Implementasi perlindungan data pribadi di media sosial melalui Undang-Undang RI No. 27 Tahun 2022 dan sistem Indonesia Data Protection System (IDPS) masih memerlukan kerjasama dan peraturan yang jelas. Konvergensi dalam perlindungan data pribadi penting untuk meningkatkan kepercayaan dan menghadapi tantangan keamanan siber di era ekonomi digital. Perlindungan data pribadi di media sosial diatur oleh Undang-Undang RI No. 27 Tahun 2022 tentang Perlindungan Data Pribadi. Sistem Indonesia Data Protection System (IDPS) membantu meminimalisasi kejahatan siber dan memastikan pengelolaan data pribadi sesuai. IDPS melibatkan Kementerian Komunikasi dan Informatika (Kominfo) dengan fokus pada central data dan data officer. Namun, implementasi masih memerlukan kerjasama antarlembaga dan peraturan yang lebih jelas.
Pengembangan Media Flipbook Digital Berbasis Kearifan Lokal pada Materi Mencermati Tokoh yang terdapat pada Cerita Fiksi Kelas IV Sekolah Dasar
Authors: Andriani Riska , Hunaifi Abdul Aziz , Damariswara Rian
Published: July 2024

Penelitian ini termasuk dalam kategori penelitian pengembangan atau Research and Development. Penelitian ini mengikuti prosedur ADDIE yang terdiri dari lima tahapan: Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Subjek penelitian ini adalah guru dan siswa kelas IV SDN Kraton dan SDN Satak 2. Instrumen pengumpulan data pada penelitian ini meliputi observasi, wawancara, angket, dan tes. Teknik analisis data yang digunakan adalah analisis kuantitatif dan kualitatif. Teknik-teknik analisis ini digunakan untuk mengetahui dan mengolah data yang bertujuan untuk menilai kelayakan, kepraktisan, dan keefektifan media flipbook yang dikembangkan. Hasil dari penelitian pengembangan flipbook digital berbasis kearifan lokal Kediri adalah sebagai berikut, (1) Media flipbook digital berbasis kearifan lokal Kediri dinyatakan sangat valid dengan hasil persentase 90% dari validasi media dan 80% dari validasi materi. (2) Media flipbook digital berbasis kearifan lokal Kediri dinyatakan sangat praktis dengan hasil persentase 94% dari respon guru pada uji coba terbatas dan 92% pada uji coba luas. (3) Media flipbook digital berbasis kearifan lokal Kediri dinyatakan efektif setelah dilakukan uji coba terbatas dengan hasil post-test tuntas dengan persentase 80% dan 88% pada uji coba luas.
Implementasi Program Public Relations (PR) GeKrafs Jatim “NGOPI” dalam Membangun Community Development di Jawa Timur
Authors: Sonata Rihan Nadira , Rahmawati Dian Hutami
Published: July 2024

Penelitian ini dimaksudkan untuk mengetahui dan mendeskripsikan bagaimana implementasi program PR GeKrafs Jatim “NGOPI” ekonomi kreatif dalam membangun community development di Jawa Timur. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan paradigma konstruktivisme. Penelitian ini melalui empat tahap yaitu pengumpulan data, kondensasi data, penyajian data, dan penarikan serta verifikasi kesimpulan. Hasil penelitian menunjukan strategi public relations program “NGOPI” Jatim melalui tahapan komunikasi dengan generasi muda kreatif dan didasarkan pada hasil riset social mapping dan SIG, perencanaan program PR untuk pemberdayaan ekonomi kreatif, implementasi melalui kolaborasi dan pemanfaatan media sosial, serta evaluasi untuk perbaikan lebih lanjut. Sedangkan community development yang dilakukan memuat tiga fungsi strategi pemberdayaan mulai dari penyadaran, pengkapasitasan, dan pendayaan. GeKrafs Jatim juga mengusung green economy dan sustainability-driven economics dengan cara mendorong pelaku ekonomi kreatif mengimplementasikan praktik bisnis berkelanjutan.
Penerimaan Khalayak terhadap Pergaulan Bebas Remaja pada Serial XO, Kitty di Netflix
Authors: Nasytha Zalafina Safara , Suksmawati Herlina
Published: July 2024

Serial dapat dikatakan sebagai tayangan media komunikasi massa yang menyajikan cerita dengan pengemasan yang dramatis dan dapat berlanjut selama berminggu-minggu, berbulan-bulan, bahkan bertahun-tahun. Tujuan dari penelitian ini adalah untuk mengetahui resepsi khalayak terhadap pergaulan bebas remaja pada serial XO, Kitty di Netflix. Metode penelitian yang digunakan adalah analisis resepsi khalayak milik Stuart Hall dengan pendekatan secara deskriptif kualitatif. Subyek yang dipilih dalam penelitian ini adalah penonton dari serial XO, Kitty yang tersebar di provinsi Jawa Barat dan Jawa Timur. Pengumpulan data dilakukan melalui wawancara dengan sembilan informan yang telah dipilih sesuai dengan kriteria yang telah ditentukan. Hasil analisis data menunjukkan adanya keberagaman pandangan yang diberikan oleh informan. Hal ini berdasarkan pada latar belakang yang beragam oleh masing-masing informan. Data yang didapatkan kemudian dimasukkan ke dalam pengkategorian posisi menurut Stuart Hall, yakni Hegemoni Dominan, Negosiasi, dan Oposisi. Hasil penelitian menunjukkan keseluruhan informan yang terbagi ke dalam tiga kategori tersebut.
Analisis Mata Kuliah di IPB University Berdasarkan Tujuan Pembangunan Berkelanjutan (SDGs)
Authors: Mardiana Rina
Published: July 2024

Penelitian ini bertujuan menganalisis sebaran mata kuliah di IPB University berdasarkan Tujuan Pembangunan Berkelanjutan (Sustainable Development Goals, SDGs) dan mengidentifikasi kontribusi mata kuliah yang tersebar di setiap fakultas terhadap pencapaian SDGs. Metodologi yang digunakan meliputi pengumpulan data dari database internal IPB yang mencakup 5450 mata kuliah. Data tersebut kemudian diolah berdasarkan kata kunci SDGs Esevier 2023 melalui filter kata negasi, penerjemahan ke Bahasa Indonesia, dan penghapusan duplikat. Analisis dilakukan dengan mengkategorisasi mata kuliah berdasarkan relevansinya dengan masing-masing dari 17 SDGs.  Hasil utama menunjukkan bahwa SDG 4 "Pendidikan Berkualitas" memiliki sebaran tertinggi dengan 5198 mata kuliah, sementara SDG 10 "Mengurangi Ketimpangan" memiliki sebaran terendah dengan 1688 mata kuliah. Temuan ini mengindikasikan komitmen IPB terhadap kualitas pendidikan, namun memerlukan peningkatan dalam pengurangan ketimpangan.
Mengukur Sukses: Konsep Dasar dalam Evaluasi Kurikulum Sekolah
Authors: Azizah Fifi Nur , Aziz Abdul
Published: July 2024

Evaluasi kurikulum merupakan proses penting dalam dunia pendidikan yang melibatkan berbagai model dan teknik untuk menilai sejauh mana tujuan pembelajaran tercapai. Metode penelitian pada artikel ini adalah penelitian kepustakaan, merupakan jenis penelitian yang terfokus pada pengumpulan data dari sumber-sumber pustaka. Artikel ini membahas beberapa aspek evaluasi kurikulum, mulai dari definisi evaluasi hingga peran evaluasi dalam peningkatan kualitas pendidikan. Model-model evaluasi seperti evaluasi formatif, sumatif, dan campuran multivariasi dibahas dengan merinci tujuan dan pendekatannya. Selain itu, pentingnya evaluator dalam dan luar dalam pelaksanaan evaluasi serta kelebihan dan kelemahan keduanya juga disorot. Teknik evaluasi, baik berupa metode tes maupun metode non-tes, digunakan untuk mengukur aspek-aspek seperti ketercapaian tujuan, kesesuaian antara tujuan dan hasil belajar, dan perbandingan antarprogram. Dengan merangkum pemahaman terhadap evaluasi kurikulum, artikel ini menunjukkan bahwa evaluasi tidak hanya memainkan peran vital dalam perbaikan program pendidikan, tetapi juga memberikan gambaran holistik terhadap keberhasilan dan kelemahan kurikulum dalam mencapai tujuannya.
Pemanfaatan Susu Kambing Etawa Sebagai Obat Untuk Membantu Meredakan Penyakit Asma
Authors: Zahra Nabila Aliya , Ramadhani Alifah Putri , Khairunniswah Asilah Shafa , Ramadhani Ayudhia Khansa , Haifa Dhiya Al , Qadarsih Laili
Published: July 2024

Penelitian ini dilatarbelakangi beberapa siswa SMP Islam Cendekia cianjur memiliki keluhan sesak nafas, dada terasa berat dan cenderung sakit ketika perubahan cuaca yang ekstrim. Dalam penelitian ini, kami mensurvey 60 siswa dari 3 asrama. Dari pengamatan lingkungan, hampir di setiap ruangan di sekolah ini, menggunakan Air Conditioner (AC). Mengingat Asma merupakan penyakit yang masih menjadi masalah kesehatan masyarakat hampir pada semua negara di dunia, diderita oleh anak-anak sampai dewasa dengan derajat penyakit yang ringan sampai berat, bahkan dapat mengancam jiwa seseorang. Sehingga digunakan alternatif dengan bahan susu kambing etawa untuk meredakan penyakit asma. Tujuan penelitian ini untuk mengetahui upaya membuat obat untuk meredakan asma dari susu kambing etawa. Metode yang dilakukan dalam penelitian ini menggunakan metode wawancara, observasi dan dokumentasi. Hasil penelitian ini menunjukkan bahwa penggunaan susu kambing etawa sebagai obat untuk meredakan asma mengandung Flourin dan Betakasein yang dapat digunakan sebagai obat untuk meredakan penyakit asma. Kesimpulan penelitian ini adalah susu kambing etawa bisa meredakan penyakit asma.
Strategi Meningkatkan Jiwa Wirausaha melalui Peningkatan Kemampuan Digital Marketing dengan Literasi Media Digital
Authors: Werthi Komang Tri , Perwira A.A. Gde Agung Nanda , Astawa Ni Luh Putu Ning Septyarini Putri
Published: July 2024

Dewasa ini perkembangan teknologi sangat pesat sehingga hal ini seolah-olah menuntut masyarakat untuk dapat terus mengikuti perkembangan tersebut. Fenomena ini tentunya menyebabkan semakin banyaknya pengguna internet yang ingin mengakses informasi melalui jaringan internet. Berbagai macam informasi ini diharapkan mampu mengedukasi seluruh lapisan masyarakat agar nantinya mampu mengembangkan diri seiring berkembangnya teknologi. Tenaga pendidik merupakan pihak yang sangat penting dalam mercerdaskan kehidupan bangsa. Oleh karena itu tenaga pendidik adalah salah satu partner yang sangat baik untuk melakukan Pendidikan pada topik literasi digital. Tujuannya adalah meningkatkan skill digital dibidang bisnis digital agar mampu turut serta membangkitkan ekonomi yang sedang melemah setelah terpaan pandemi COVID-19 ini. Harapannya adalah tenaga pendidik memiliki jiwa kreatif terkait entrepreneur atau kewirausahaan dan dapat juga melakukan pembimbingan terhadap UMKM terkait digital marketing melalui literasi media digital. Atau bahkan menjadi salah satu penggerahk atau pelaku UMKM. Kegiatan berjalan dengan sangat baik. Peserta yang mengikuti kegiatan ini sangat antusias. Metode yang digunakan dalam kegiatan ini adalah presentasi, studi kasus dan diskusi. Dengan memberikan materi terkait penggunaan media sosial dalam digital marketing, pemanfaatan forum komunitas secara digital, menggunakan platform e-commerce, dan juga penggunaan email marketing. Diharapkan tenaga pendidik dapat berkarya berkontribusi membangun ekonomi bangsa melalui pemberian edukasi UMKM terkait digital marketing melalui literasi media digital.
Analisis Studi Longitudinal Fenomena Kemiskinan Pasca Pandemi Covid-19 Perspektif Ekonomi Digital
Authors: Hasbiah Hasbiah , Deni Anggreani Sutomo  , Nur Imam Saifuloh  , Emily Nur Saidy
Published: July 2024

The Covid-19 pandemic has changed the social and economic landscape around the world, increasing poverty levels and economic uncertainty. In this context, this study adopts a longitudinal approach and a digital economy perspective to analyze the post-pandemic poverty phenomenon. With a focus on Surabaya City, East Java, this study identifies poverty trends, patterns of access to and use of digital technology, and their impact on people's income and welfare. The results show significant fluctuations in poverty levels, with digital technology playing a role in increasing income and access to health and education services. Correlation analysis confirms a negative relationship between the use of digital technology and poverty rates. The findings highlight the importance of investment in technology infrastructure, digital literacy training, and digital inclusion policies to ensure the benefits of digital technology are equitably distributed across society. In conclusion, this study illustrates the important role of digital technology in addressing post-pandemic poverty, providing important insights for public policy and community development practice.
Pengembangan Usaha Weng Coffee Menggunakan Asset Based Community Development
Authors: Beni Sabinus , Vely Vely
Published: July 2024

Trade also helps improve the regional economy, in this case Bengkayang district, because of Bengkayang's geographical location which is near the border area between Indonesia and Malaysia. Based on this geographical location, culinary businesses can be an option for entrepreneurs/investors. The purpose of this research is to find out the asset-based development strategy that can be carried out by Weng Coffee, to find out how the process of implementing and evaluating the asset-based development strategy carried out by Weng Coffee is. This research uses qualitative research methods using techniques and the type of research used is action research using the Asset Based Community Development (ABCD) approach. Action research is a methodology that is closely related to participant involvement, so that the process and results are greatly influenced by the values and culture of the participants. The results of the research conducted at Weng Coffee were the researcher's desire to open his own business. Several assets owned by Weng Coffee, such as human/individual assets (human capital), environmental assets (natural capital), financial assets (financial capital), social assets (social capital), physical assets (phsycal capital).
Peran Pembelajaran Visual dengan Materi Sistem Respirasi pada Kelas X SMP
Authors: Telaumbanua Jun Mardin , Gea Yusmori Isra Putraman , Lase Natalia Kristiani
Published: July 2024

This research aims to determine the effectiveness of visual learning method strategies for efficiency in the learning process of students in class X. The method used is literature study. This research is a type of research that collects data from literature. Data collection techniques through reference books, journals and websites. The initial step of this research is to first study the results of research regarding the role of visual learning in learning at school. Data collection through books, journals and websites. Data analysis was carried out using the stages of data reduction, data presentation, and drawing conclusions. The results of the research show that the use of visual media in biology learning with material on the respiratory system in class can help students understand and remember, with contributions from the teacher in explaining further about the respiratory system in learning. Thus, the learning process using visual media can help students learn and become a more effective and interactive learning strategy in improving student learning outcomes
An Overview of the Impact of Digital Transformation on the Risk-taking of Commercial Banks
Authors: Huang An-qi , Tan Da-wei
Published: July 2024

The digital transformation of commercial banks has been a general trend, and the new services brought by this new technology are becoming increasingly popular among customers and banks. For enabling customers to enjoy better service and banks to operate more efficiently and stably, the impact of digital transformation on the risk-taking of commercial banks has therefore attracted attention. By combing domestic and foreign research literature from 2016 to 2023, this paper respectively explores the significance, type and development status of the digital transformation of commercial banks, commercial banks' risk-taking and corresponding influencing factors, as well as impacts of digital transformation on the risk-taking. Conclusively, although there is no precise and unified conclusion on the impact of digital transformation on commercial banks' risk-taking, it does have the effect of reducing risk-taking under certain conditions. Hence, commercial banks need to analyze specific problems and use good strategies to overcome difficulties, and finally reach the outcome of reducing risk-taking through digital transformation.
TEDARİK ZİNCİRLERİNDE SÜRDÜRÜLEBİLİR RİSK YÖNETİMİ: ÇEVRESEL, SOSYAL VE JEOPOLİTİK RİSKLERİ AZALTMA STRATEJİLERİ
Authors: Kazan Gülçin , Uzun Kocamış Tuğçe
Published: July 2024

Küresel tedarik zincirleri daha karmaşık ve birbirine bağlı hale geldikçe, işletmeler geleneksel operasyonel ve finansal kaygıların ötesine geçen, giderek artan farklı risklerle karşı karşıya kalmaktadır. Çevresel zorluklar, sosyal dinamikler ve jeopolitik belirsizlikler, tedarik zinciri esnekliğini ve uzun vadeli sürdürülebilirliği etkileyen kritik faktörlerdir. Bu bağlamda Tedarik Zincirlerinde Sürdürülebilir Risk Yönetimi kavramı kritik bir stratejik gereklilik olarak ortaya çıkmıştır. Bu proaktif yaklaşım, çevresel, sosyal ve jeopolitik risklerin kapsamlı bir şekilde ele alınmasını sağlamak için risklerin tanımlanmasını ve değerlendirilmesini ve sürece sürdürülebilirlik ilkelerinin entegre edilmesini içerir. Çevresel belirsizlikler ve sosyal sorumluluklardan jeopolitik istikrarsızlığa kadar, modern tedarik zincirlerinde risklerin sürdürülebilir yönetimini yönlendiren zorluklar bu içerikte sunulmakta ve stratejiler açıklanmaktadır. Çalışma kapsamında, sürdürülebilir risk yönetiminin geleceğini şekillendiren yeni stratejiler ve teknolojiler de ele alınmıştır. Gelişmiş veri analitiği, blockchain teknolojisi, döngüsel ekonomi entegrasyonu ve sorumlu inovasyon, tedarik zincirlerindeki risklerin tahmin edilmesinde ve azaltılmasında temel itici güçler olarak karşımıza çıkmaktadır. Bu çalışmada ayrıca, sürdürülebilirliği risk yönetimi stratejilerine entegre etmenin önemini vurgulamakta ve gerçek dünya uygulamalarından örnekler sunmaktadır.
Efektivitas program pelayanan Badan Penyelenggara Jaminan Sosial (BPJS) kesehatan di Puskesmas Tuntungan 1
Authors: Harahap Jesi Wanda , Laoli Ananda Nurmairani , Gurning Fitriani Pramita
Published: July 2024

Penelitian ini mengkaji efektivitas program Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan di Puskesmas Tuntungan 1 Kecamatan Pancur Batu, Kabupaten Deli Serdang. Menggunakan pendekatan deskriptif kualitatif, penelitian ini menggali implementasi program melalui wawancara dengan tenaga kesehatan dan peserta BPJS. Temuan menunjukkan tingkat efektivitas yang bervariasi, dengan perubahan positif dalam akses layanan kesehatan dan kesadaran masyarakat, namun terdapat tantangan dalam pemahaman program, ketepatan sasaran, dan ketepatan waktu pembayaran iuran. Meskipun program ini telah mengurangi beban finansial untuk penyakit kronis dan tindakan medis yang mahal, masih ada ruang untuk perbaikan dalam upaya sosialisasi, sistem pendataan, mekanisme pembayaran, dan kualitas pelayanan. Penelitian ini diakhiri dengan rekomendasi untuk meningkatkan efektivitas program guna mencapai tujuan idealnya dengan lebih baik
Characterization of a Glyphosate-degrading Bacterium from a Paddy Field in Kepala Batas, Penang
Authors: Manogaran Motharasan , Yakasai Hafeez Muhammad , Shukor Mohd Yunus
Published: July 2024

Bioremediation of contaminants, including glyphosate, a herbicide, is an economically viable and environmentally friendly technique. Glyphosate is the most utilized herbicides for weed management. Pollution from glyphosate is dangerous to wildlife and their habitats. Soil Pseudomonas sp. strain UMP-KB2 obtained from a paddy field was used as the only source of carbon and described for its capacity to degrade glyphosate. The growth of these bacteria was measured spectrophotometrically as A600 nm in response to changes in incubation time, g inoculum size, glyphosate concentration (carbon source), temperature and pH. The bacterium degrades glyphosate optimally at pH 7.0, glyphosate concentration of 0.5 g/L, temperatures of between 30 and 35 ºC, and inoculum size 1% (v/v). Growth at 0.5 g/L glyphosate shows a two-day lag period and nearly 90% degradation after six days of incubation. The isolation of a glyphosate-degrading bacterium that utilizes glyphosate as a carbon source will be very useful in mineralizing glyphosate in contaminated agriculture soil.
Unveiling Innovations in Event Management Systems: A Comparative Study
Authors: Chatterjee Sumanta ,   Asst. Professor, Dept. of CSE, JIS College of Engineering Kalyani, WB, India.
Published: July 2024

This comparative study examines five distinct project documents focusing on innovative technologies and methodologies within web security, authentication, serverless computing, database management, and AI-driven image generation. Each project presents unique approaches and findings that contribute significantly to their respective fields. The "Secured Authentication by Single Sign-On (SSO)" project enhances web application security through SSO, providing significant security benefits and an improved user experience. The "Implementation of Role-Based Access Control on OAuth 2.0" project demonstrates the effectiveness of integrating RBAC with OAuth 2.0 to bolster authentication and authorization systems. The "Serverless Computing: Design, Implementation, and Performance" project evaluates the scalability and cost- effectiveness of serverless computing platforms, highlighting their potential for cloud-based applications. The "Supply of Key-Value Database Redis in-Memory by Data from a Relational Database" project showcases how Redis enhances data retrieval speed and efficiency when integrated with relational databases. Finally, the "Text to Image Generator with Latent Diffusion Models" project explores the use of latent diffusion models for generating high-quality images from text descriptions, emphasizing advancements in AI and neural networks. This comparative analysis synthesizes the methodologies, key findings, and technological integrations of each project, providing a comprehensive overview of their contributions to their respective domains. By examining these diverse yet interconnected areas, the study underscores the ongoing evolution and impact of innovative technologies on improving security, efficiency, scalability, and creative capabilities across various applications. This synthesis offers valuable insights into how these advancements are shaping the future of technology, demonstrating the importance of continuous research and development in these dynamic fields. Key Words: Event Management System (EMS), Event planning, User-friendly interface, Registration management, Payment gateways, Communication tools, Scalability
Empowering Local Community and Bringing Awareness for Alternative Tourism
Authors: Valli Ulavala Amrutha
Published: July 2024

One of the most well –known concepts in marketing is the marketing mix which is also known as 7P’s of marketing and customer oriented marketing approach also known as 4A’s of marketing. But, in present scenario of marketing 7P’s dominates the 4A’s it means marketing mix dominating the customer oriented marketing approach. This study contributes both marketing mix and customer oriented marketing approach are necessary for effective marketing. Key words : 7P’s(marketing mix) and 4A’s(customer oriented marketing approach)