bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Vegetable Food Consumed by Tobelo People in Lina Ino Village, Tobelo Tengah Sub-District
Authors: Patty Zeth , Kastanja Ariance Yeane , Paulus Fredi Jakson
Published: April 2024

This research was carried out for 3 months in Lina Ino Village with the aim of identifying types of vegetable foods which include sources of carbohydrates, proteins and vitamins consumed by the people of Lina Ino Village, Central Tobelo. The location of the study was determined deliberately, with a sample of 85 respondents from 591 households. Data was collected through an interview method using a list of questions, which included types of vegetable food sources of carbohydrates, proteins and vitamins, sources of food ingredients and processing methods. The results showed that the people of Lina Ino Village consumed 5 types of carbohydrates, 3 types of legumes sources of protein. 9 types of vegetables consumed as a source of vitamins and minerals, consisting of 3 leaf vegetables, 2 types of fruit vegetables, 1 type of legume vegetables and 2 types of vegetables consumed leaves and fruits, and 4 types of fruit. Some food sources are obtained by buying from retailers while others are grown in community gardens. Food processing carried out is generally divided into 3, namely, boiled, fried, and cooked in coconut milk.
23. PHÂN TÍCH MỘT SỐ YẾU TỐ LIÊN QUAN ĐẾN BẠO HÀNH NHÂN VIÊN Y TẾ TẠI BỆNH VIỆN ĐA KHOA XANH PÔN NĂM 2020
Authors: Lý Trần Thị , Tâm Nguyễn Thị Thanh , Hằng Lê Thị
Published: April 2024

Đặt vấn đề: Theo báo cáo của Tổ chức Y tế thế giới, nhân viên y tế (NVYT) có nguy cơ bị bạo hành cao trên toàn thế giới, điều này không chỉ tác động tiêu cực đến sức khoẻ tâm lý và thể chất của nhân viên y tế mà còn ảnh hưởng đến chất lượng khám, chữa bệnh cho người bệnh.

Mục tiêu: Phân tích một số yếu tố liên quan đến bạo hành nhân viên y tế tại Bệnh viện đa khoa Xanh Pôn năm 2020.

Phương pháp: Điều tra cắt ngang, nghiên cứu định lượng kết hợp định tính.

Kết quả và kết luận: 461 NVYT làm việc tại Bệnh viện Đa khoa xanh Pôn tham gia trả lời phỏng vấn. Kết quả nghiên cứu cho thấy, 52,9% NVYT bị bạo hành trong 12 tháng gần đây. Một số yếu tố có liên quan đến bạo hành NVYT gồm: nhóm tuổi, vị trí việc làm, chức danh chuyên môn, thời gian công tác và thời gian tiếp xúc với người bệnh/thân nhân người bệnh/khách.
Zoohygienic assessment of feed, the basis for successful prevention of padevyj toxidrome
Authors: Kuznetsov A. F. , Rozhkov K. A. , Achilov V. V. , Pechenkina A. A.
Published: April 2024

This article presents a review of the literature and the results of our own research on the use of glucose-fructose syrup as a substitute for substandard honey and crystalline sugar in the diet of honey bees. The results of research on the search for feed products similar in properties to the natural feeds of honeybees are described, the characteristics of honey of different origins used for forage purposes are given, an idea of its quality and effect on the body of honeybees is given. Based on the conducted research, the authors conclude that in order to maintain optimal health, honey bees need to introduce new industrial products into beekeeping technology, in particular glucose-fructose syrups similar in sugar composition to nectar honey, in order to replace honeydew and feed from crystalline dietary sugar in the diet. The obtained materials can be used as a reference material for continuing research on the nutritional hygiene of honey bees, as well as in scientific activities and in practical beekeeping
THE ROLE OF PARENTS IN EDUCATING CHILDREN ACCORDING TO LAW NUMBER 35 OF 2014 CONCERNING CHILD PROTECTION AND ISLAMIC LAW
Authors: Muhamad Nur Muhajir  , Ainun Luthfi Muhammad , Siti Kholisoh  , Esty Faatinisa
Published: April 2024

Law no. 35 of 2014 focuses on children's rights and protection, including the right to receive good education and care. In this context, parents play an important role in educating and ensuring that children's rights are fulfilled. On the other hand, Islamic law also emphasizes the importance of the role of parents in children's education. There are many verses and hadiths that talk about the importance of educating children in a correct and fair way. The aim of this research is to explain and examine the role of parents in educating children according to Law no. 35 of 2014 concerning Child Protection and Islamic Law. The research method used is a literature study, where the author examines various sources, including legal texts and religious texts, and involves interviews or surveys with parents to understand how they apply these laws and principles in educating their children. . The results of the research will include findings on how these laws are implemented in practice, as well as recommendations for how these laws can be more effectively implemented.
Upaya Meningkatkan Kemampuan Bahasa Ekspresif Melalui Metode Bercerita Menggunakan Boneka Jari Tangan Pada Anak Usia Dini
Authors: Dimyati Usep , Esty Faatinisa  , Taufik Maulana
Published: April 2024

Kemampuan bahasa ekspresif merupakan kemampuan berbicara dan menuliskan informasi. Kemampuan berbicara anak dapat dikembangkan dengan cara bermain, karena dengan bermain anak akan mendapatkan pengalaman belajar yang dapat meningkatkan kemampuan berbicara dan bahasanya. Penelitian ini bertujuan untuk meningkatkan kemampuan berbahasa ekspresif anak. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan subjek penelitian anak kelas B, berjumlah 15 orang. Penelitian dilakukan 2 siklus setiap siklus 2 kali pertemuan. Data dikumpulkan melalui observasi, wawancara, dan dokumentasi. Siklus I pada umumnya terlihat masih rendah. Setelah dilakukan perbaikan dengan menambah media, siklus II mengalami peningkatan mencapai persentase yang diinginkan. Disimpulkan melalui metode bercerita menggunakan boneka jari tangan dapat meningkatkan kemampuan bahasa ekspresif anak.
HRES Integrated DSTATCOM Using High Gain Sepic-Zeta Based WOA Optimized ANFIS-MPPT Controller for PQ Issues
Authors: V. Jayalakshmi R. Sathyapriya,
Published: April 2024

The power generated by renewable energy sources (RES), including photovoltaic (PV) and wind energy systems, are a great deal dependent on climate situations that result in Power Quality (PQ) issues, which require rapid adjustment of energy transmission and distribution systems. As a solution, (Distribution Static Synchronous Compensator) DSTATCOM is implemented for reactive power compensation, reducing voltage sag, swell, and THD. A novel High-gain SEPIC-ZETA converter is designed in this study to enhance the voltage obtained from the PV system with high efficiency. On the other hand, the proposed work aims to improve PQ issues using DSTATCOM with PV-Wind and battery systems. Adaptive Neuro-Fuzzy Inference System (ANFIS) based Maximum Power Point (MPPT) controller is adopted for tracking optimal power from the PV and to tune the parameters of this controller adopting Whale optimization algorithm (WOA). Moreover, the PWM rectifier is employed to convert the AC supply from the wind energy system to DC and it is controlled by the Proportional Integral (PI) controller. Hysteresis Current Controller (HCC) is incorporated to generate reference current based on Synchronous Reference Frame (SRF) theory, which is required for the reduction of harmonics. Three phase voltage source inverter is integrated to convert DC-AC supply for distributing the energy supply to load application. Finally, the anticipated work is implemented in MATLAB/Simulink and the comparative analysis is made towards the conventional topologies to authenticate the proficiency of the developed work. As a consequence, the outcomes demonstrate the improved PQ with a lower THD value of 0.72% with high tracking efficiency is accomplished by the proposed technique.
Multi-objective Trust-aware Dynamic Weight Pelican Optimization Algorithm for Secure Cluster Head and Routing Selection in WSN
Authors: Srinivasan R. Dharma Teja M.,
Published: April 2024

Wireless Sensor Networks (WSN) is a group of Sensor Nodes (SNs) which are performed to intellect a normal singularity from an environment. The minimum resources and computational power of WSN creates vulnerable to number of security attacks. To addresses this problem, this paper proposes a Multi-objective Trust-aware Dynamic Weight Pelican Optimization Algorithm (M-TDWPOA)-based secure and energy aware multi-hop routing in WSN with the Base Station (BS). The proposed method comprises of two significant steps: Initially, dynamic energy-efficient Cluster Head (CH) selection by utilizing the multi-objective functions such as Distance between neighbor nodes, Distance between BS to CH, Energy, Centrality and Trust Threshold. Then, dynamic secure multi-hop routing is selected by the multi-objective functions such as Distance between BS to CH, Energy, Trust Threshold which is dynamically reducing the network overhead. Furthermore, a security aware multi-hop routing is employed through the different trust classes like direct, indirect, recent and authentication. The proposed M-TDWPOA approach is estimated with various performance metrics like alive nodes, dead nodes, energy consumption, Throughput and so on. The proposed M-TDWPOA achieves the minimum energy consumption of 0.4927J, 0.4851J, 0.4771J, 0.4693J and 0.4617J when compared to the existing methods like Fractional Artificial Lion (FAL).
Secure and Efficient Wireless Sensor Network and Machine Learning -based Monitoring System for Student Physical and Mental Health
Authors: M A Berlin, P Deepa, G. Uma Gowri, B. Subbarayudu Dinesh G,
Published: April 2024

In this research we have reviewed the performance of machine learning algorithms and WSNs for the monitoring student physical and mental health. We have found that logistic regression is a stronger alternative after an exhaustive evaluation of machine learning algorithms that consistently produce superior performance metrics than Gaussian mixture models (GMM). This has demonstrated average accuracy of 87.1% across 10 experiments, besting the average accuracy of 83.8% of GMM. It also illustrates greater efficacy for assessing system security, producing average accuracy of 86.6%, with 91.9% for GMM. The findings demonstrate the significance of select a machine learning algorithms that meets the specific needs of monitoring student health systems. They are also an illustration of logistic regressions dependability, and adeptness at identifying subtle changes in student health indicators that allow for proactive initiation of interventions and support mechanisms tailored to individual students’ needs. Going forward, monitoring systems should next be further refined and optimised so that they can more effectively support both student well-being and academic success in the complex and diverse educational settings of Indian universities.
Ekalusugan: An Intelligent health observation system using Internet of Things
Authors: Raymond L. Alfonso Jesus Benjamin J. Bien Jr., Jose Marie B. Dipay PCpE,
Published: April 2024

- In today's technological landscape, the Internet of Things (IoT) has ushered in a multitude of applications, with wearable technology and smart healthcare standing out as paramount. Amidst this backdrop, we present "eKalusugan," an innovative intelligent health monitoring system harnessed by IoT. Traditional health observation systems often fall short in catering to the needs of sick patients, a concern this study addresses through an insightful exploration of challenges and innovative remedies. Our work also delves into the evaluation of a prototype observation system, gauging user acceptance based on its novel features. Employing a mixed-methods approach, encompassing both a comprehensive questionnaire and in-depth interviews, we engaged five (5) medical experts, thirty (30) healthcare providers, and eighty (80) patients from diverse locales. This collaborative effort yielded invaluable insights into the existing gaps, such as inadequate sickness monitoring, role ambiguity, and the struggle to maintain comprehensive medical histories under the conventional model. To surmount these limitations, our proposed solution boasts two pivotal facets. First, we advocate for leveraging IoT's capabilities to streamline the creation of an intelligent health observation system. Second, we emphasize the necessity of a user-centric approach, rendering the system significantly more intuitive for medical professionals and patients alike, in stark contrast to conventional methods. Our findings underscore the potency of the eKalusugan system, with respondents lauding its functionality (rated 4.62), reliability (rated 4.52), usability (rated 4.68), and performance (rated 4.70) as either excellent or good (with an average rating of 4.59). Encouragingly, our study indicates that the envisaged system could potentially gain traction at the behest of governmental health agencies, paving the way for its integration in monitoring the well-being of sick individuals. In this era where the confluence of IoT and healthcare beckons transformative progress, eKalusugan shines as a testament to the possibilities that emerge when cutting-edge technology aligns with human well-being
DLLBVS: Design of a High-Efficiency Deep Learning based Low-BER Video Streaming Model for High-Noise Wireless Networks
Authors: Gowrishankar S., Ramesh Babu H. S, Prasad G. R. Ishwari V. Ginimav,
Published: April 2024

Design of video streaming models for high-noise networks is a multimodal process that requires efficient channel modelling, noise analysis, error-specific stream control, intelligent data augmentation, etc. This article proposes design of a high-efficiency deep learning based low-BER (Bit Error Rate) Video streaming model for high-noise wireless networks. The proposed model initially uses a Long-Short-Term Memory (LSTM) block for estimation of frame level features, and then uses Orthogonal Frequency Division Multiple Access (OFDMA) based modulation platform for transmission and reception of processed video frames. The OFDMA model is cascaded with a chaotic communication module, which assists in improving data fidelity under different noise conditions. The chaotic communication module is optimized using Grey Wolf Optimizer (GWO), which assists in setting up its hyperparameters for better efficiency under real-time communication scenarios. Video frames were pre-processed using Dual Neural Networks that assisted in estimation of differential frame information sets. Due to estimation of this differential frame information, streaming speed is improved, which assists in increasing number of frames transmitted per second, thereby improving streaming performance for different video types. This frame information is further processed by an iterative Gated Recurrent Unit (GRU) based VARMAx Model, which assists in predicting frame removal instances, thus assisting in faster & low error communications. The GRU VARMAx Model optimizes data flow, thus reducing congestion and improving throughput. The model was tested under AWGN (Additive While Gaussian Noise), Rayleigh, & Rician channel types, and its efficiency was compared with standard streaming techniques in terms of communication delay, Bit Error Rate, Peak to Average Power Ratio (PAPR), throughput, communication jitter and computational complexity levels. Based on this comparison it was observed that the proposed model showcased 3.5% lower communication delay, 8.3% lower BER, 5.9% lower PAPR, 10.5% higher throughput, 3.9% lower jitter and 6.4% lower computational complexity, which makes it highly useful for a wide variety of real-time streaming scenarios.
An anomaly Detection Method for Electricity Consumption Data Based on CNN-BiLSTM-Attention
Authors: Junwei Zhang, Xiaofang Chen Jinkai Sun, Yulu Ren,
Published: April 2024

As the complexity and uncertainty of smart distribution networks increase, data security issues in smart meters have become a pressing challenge, such as false data injection and electricity theft. To ensure fairness, safety, and overall economic efficiency of distribution networks, it is essential to accurately detect abnormal electricity consumption. However, traditional methods relying on on-site inspections by grid personnel suffer from low efficiency and high costs in detecting user anomalies. This paper proposes an electricity consumption data anomaly detection method based on CNN-BiLSTM-Attention. CNN is utilized to extract data features, while BiLSTM and attention mechanisms capture contextual information in sequence data. Furthermore, experiments conducted on data extracted from smart meters demonstrate that the proposed model outperforms other models in anomaly detection, with accuracy, recall, and F1-Score all exceeding 91%. These results validate the effectiveness and feasibility of the proposed method, providing an efficient solution for user anomaly detection in national power grids.
Spatial Bee Optimized Network Theory (Sbont) Based Algorithm to Design of Dance Activity Venues in Elevating Tourism
Authors: Chengwei Xing, Feifei Zhang Zhiying Cui, Xing Li,
Published: April 2024

Cultural tourism is a dynamic and enriching experience that involves exploring the unique heritage, traditions, arts, and customs of different societies. It goes beyond merely visiting landmarks; it delves into the heart and soul of a place, fostering understanding and appreciation for its cultural identity. Cultural tourism with a dance activity provides a vibrant and immersive way to experience the richness of a destination's cultural heritage. Participating in dance activities allows travelers to connect with local communities on a deeper level, learning about their traditions firsthand and forging meaningful connections. This paper proposes a novel approach for the spatial optimization of dance activity venues in cultural tourism destinations, integrating complex network theory with Spatial Bee Optimized Network Theory (SBONT). Cultural tourism thrives on offering diverse and immersive experiences, and dance activities play a pivotal role in enriching these experiences. However, optimizing the spatial layout of dance venues to enhance accessibility, cultural authenticity, and visitor satisfaction poses a complex problem. With integrating spatial considerations with network optimization principles, the proposed framework aims to maximize accessibility, connectivity, and cultural immersion for tourists while promoting sustainable development and resource utilization. Simulation results demonstrated that venues with a cultural significance score exceeding 0.8 experienced a 15% increase in visitor footfall compared to less significant counterparts. Moreover, the accessibility score for each venue improved by an average of 0.12, indicative of enhanced ease of access for tourists and local communities. These tangible outcomes underscore the algorithm’s effectiveness in orchestrating layouts that foster sustainable cultural tourism development while celebrating and preserving cultural heritage through dynamic dance activities.
Immersive Multimedia Art Design Based on Deep Learning Intelligent Vr Technology
Authors: Xiaoxu Zhao Hongying Song,
Published: April 2024

Virtual Reality (VR) based art design offers a revolutionary platform for artists to explore new dimensions of creativity and expression. By immersing users in virtual environments, VR art transcends traditional limitations, enabling the creation of immersive and interactive experiences that defy conventional boundaries. Artists harness VR technology to sculpt three-dimensional forms, paint in volumetric space, and manipulate light and sound in ways previously unimaginable. Moreover, VR facilitates collaboration and audience engagement, allowing viewers to interact with and even become part of the artwork. From virtual exhibitions to immersive installations, VR art opens up endless possibilities for artistic innovation and audience participation. This paper introduces an innovative approach to immersive multimedia art design, leveraging deep learning intelligent Virtual Reality (VR) technology alongside Centralized Data Transmission Classification (CDTC) with the integration of IoT multimedia sensor data. By combining these advanced technologies, artists can create captivating and dynamic multimedia experiences that engage multiple senses and transcend traditional artistic boundaries. Deep learning algorithms analyze and interpret vast amounts of sensory data collected from IoT multimedia sensors, enabling the generation of immersive VR environments that respond intelligently to user interactions. CDTC facilitates efficient data transmission and classification, optimizing the integration of real-time sensor data into the VR experience. Through a series of experiments and simulations, the efficacy of the proposed framework is demonstrated, showcasing its ability to create immersive art installations that dynamically adapt to user input and environmental stimuli. in a simulated VR environment, deep learning algorithms processed IoT sensor data in real-time, resulting in an average classification accuracy of 92% for environmental stimuli recognition. Additionally, CDTC facilitated efficient data transmission, reducing latency by 30% compared to traditional methods.
Enabling The E-NOSE: Evaluating Network Technologies for Optimized Odor Data Transmission in IoT and Edge Computing Applications
Authors: Ayad A. Al-Ani Husam K. Salih
Published: April 2024

Electronic Noses (e-noses) are advanced sensors that are being increasingly used in the Internet of Things (IoT) field. They have various applications in environmental monitoring and medical diagnostics. Optimal transmission of odor-related data is essential for fully harnessing the capabilities of these electronic noses in various network environments. This research paper examines the issue of transmitting odor data in Internet of Things (IoT) applications by assessing recent progress in communication and network technologies. A thorough analysis of various network alternatives, such as Ethernet, cellular (4G/5G), Wi-Fi, Bluetooth, Zigbee, and LoRa, is provided, accompanied by an elaborate table displaying precise technical specifications. The analysis of LoRa, a Low-Power Wide-Area Network (LPWAN) technology, encompasses an investigation into its architecture, modulation method, device classifications, and protocols such as LoRaWAN. The analysis of Edge Computing and cloud-based approaches for managing odor data in IoT culminates in a tabular presentation that succinctly outlines their advantages and disadvantages. This study provides valuable information to enhance the efficiency of transmitting odor data and effectively utilize electronic nose technology in different emerging applications in the Internet of Things (IoT) field.
Enhancing Energy Efficiency in Wireless Sensor Networks through I-LEACH: A Data Clustering and Routing Protocol
Authors: Satvir Singh Sushil Lekhi ,
Published: April 2024

The inclusion of innovative technology into sensor networks has resulted in notable advancements in several industries, including mining, healthcare, military surveillance, and more. Using a multi-hop approach, nodes are placed strategically across the Region of Interest (RoI) in order to transfer data to the Base Station (BS). In order to address issues with energy consumption, effective cluster head selection, packet loss, routing algorithms, and energy efficiency, the Wireless Sensor Network (WSN) has become a key field of study. The objectives of this research are to increase nodes' Residual Energy, and lengthen the network lifetime. Using an effective clustering mechanism and Cluster Head  election procedure is the suggested method. The goal of choosing a CH is to minimize the distance from the base station while optimizing the node's remaining energy. The protocol acts in two stages: firstly, computing a new Threshold value for the cluster head election process, and secondly, applying a data fusion mechanism based  energy model is used in the network to reduce redundant energy transfer.
An Efficient and Scalable Framework for Decentralized Finance Application Using Blockchain Interoperability
Authors: Mohamadi   Begum Y. Ravi Prakash B. ,
Published: April 2024

In recent years, blockchain technology has drawn a lot of attention, especially in the field of decentralised finance (De-Fi). However, scalability problems have come to light as a significant obstacle to the broad use of blockchain-based applications. To solve the issue of scalability, this paper has created a decentralised finance application with three main components: the addition of more liquidity to the swapping application, the implementation of a Polygon Proof of Stake bridge to enable efficient asset transfers, and the ability to transfer tokens between accounts seamlessly regardless of network agnosticism. The first feature, network agnostic capabilities for interoperability, facilitates token transfers between blockchain networks, allowing users to access and transact across them with ease The second component, the Polygon Proof-of-Stake bridge, makes asset transfers more efficient by taking advantage of the Polygon network's scalability advantages, which drastically lower transaction costs and processing times. Finally, adding more liquidity to the swapping programme makes it more scalable by guaranteeing that there is enough money for transactions, which prevents delays and bottlenecks. The scalability issue with blockchain technology is efficiently resolved by adding these three characteristics to the decentralised finance application, creating new opportunities for the mass acceptance and utilisation of blockchain-based financial services.
PERANCANGAN MEDIA PROMOSI PANGGUNG INDONESIA 2045 TAHUN 2018
Authors: Purwanto Pawit
Published: April 2024

Panggung Indonesia 2045 adalah sebuah kegiatan pagelaran seni dan budaya yang diselenggarkan olehInstitut Manajemen Wiyata Indonesia. Kegiatan ini dilakukan seahun sekali bersamaan dengan hari sumpahpemuda tgl 28 Oktober. Pegelaran ini mengingatkan akan perjuangan para pahlawan di masa lalu hinggaakhirnya kemerdekaan Indonesia di raih, yang saat ini jarang sekali para pemuda mengingat sejarah tersebut.Dengan tujuan agar terselenggaranya kegiatan tersebut panitia dapat menyelenggarakan kegiatan tersebutdengan dana yang didapatkan dari penjualan kaos untuk dipakai saat acara, tiket masuk serta sponsor. Namunakhirnya Institut Manajemen Wiyata mengeluarkan dana tambahan menutupi kekurangan yang cukup banyakuntuk terselenggaranya kegiatan tersebut. Padahal acara tersebut sangat bermanfaat untuk pemuda-pemudisaat ini. Hal ini tentu menjadi sebuah tantangan bagi panitia panggung Indonesia 2045 yang merupakanwadah bagi para artis untuk menampilkan hasil karyanya di kota sukabumi. Tujuan dari perancangan iniadalah merancang sebuah video sebagai media promosi dari Panggung Indonesia 2045 sehingga awarenessdan apresiasi masyarakat terutama para pemuda terhadap keikutsertaan dalam acara tersebut semakinmeningkat
Opini Audit BPK-RI dan Substansi Kinerja Keuangan Pemerintah Daerah Kota/Kabupaten di Provinsi Kalimantan Barat
Authors: Zulkarnain Zulkarnain  , Rezka Andriansyah
Published: April 2024

This study aims to examine whether any significant differences the financial performance of the local city/regency government who gets unqualified audit opinion and qualified audit opinion. The financial performance of the local city/regency government measured by APBD financial ratios such as regional independence ratio, effectiveness ratio, effeciency ratio, activity ratio, and growth ratio. This study employs publicly available data from financial database of a sample of 14 local city/regency government-year in West Kalimantan Province, Indonesia for the years of 2012-2016. Using independent sample test, this study finds that there are no significant differences the financial performance of the local city/regency government who gets unqualified audit opinion and qualified audit opinion, except for regional independence ratio.
Pengaruh Retailing Mix dan Service Quality Terhadap Purchase Decision pada PT Akur Pratama (Toserba Yogya) Sukabumi
Authors: Ade Munhiar  , Zulfa Jalillah
Published: April 2024

This study aims to determine : the effect of retailing mix on purchase decision, the effect of service quality on purchase decision, and the influence of retailing mix and service quality simultaneously on purchase decision. The subjects of this study are customers who visited and purchases products to Yogya Department Store Sukabumi with a total of 100 respondents. Methods of data collection through surveys by using questionnaires. Data analysis techniques used in this study are validity test, reliability test, classical assumption test and hypothesis test. The results of this study indicate that (1) retailing influences partially and significantly on the purchase decision with value (3,847> 1,9847), (2) service quality has a partial and significant effect on the purchase decision with value (5,466> 1,9847), (3) retailing mix and service quality simultaneously have a positive and significant effect on purchase decision with value (64,811> 3,94). Further research is needed by the company, increasing pricing, marketing and responsiveness in service to consumers.
Pengaruh Quality of Work Life dan Motivation terhadap Employee Performance (Studi Kasus Pegawai Desa Cidahu Kabupaten Sukabumi)
Authors: Wahyu Indra Gunawan  , Lusi Fauzianingsih
Published: April 2024

This study aims to determine: (1) the influence of quality of work life on employee performance, (2) the influence of motivation on employee performance, and (3) the effect of quality of work life and motivation simultaneously on employee performance. The subject of this research is all employees of Village Office Cidahu located in Cidahu Kabupaten Sukabumi. The number of respondents in this study as many as 63 people. Methods of data collection through surveys using questionnaires. Data analysis technique used in this research is Multiple Linear Regression Analysis. The results show that (1quality of work life has no effect on employee performance. (2) motivation positively affects employee performance. 3) simultaneously quality of work life and motivation positively affect employee performance. Further research is needed by this Village Office Cidahu so that employees are able to produce high performance.
Pengaruh Store Environtment terhadap Purchase Intention pada Pusaka Motor Suzuki Kalibata
Authors: Dixon R. M. Simangunsong  , Megan Anneta Rizkyasti
Published: April 2024

This research is motivated by the existence of problems related to the sales of Suzuki vehicles which tend to decline in the last 3 (three) years. The interview results indicate that there are still problems related to store image and store atmosphere that affect to purchase intention. This is very closelyrelated because a consumer often assesses a vehicle showroom on its first impression seen from the store image then when it is felt in the store atmosphere in the form of exterior, general interior, store layout, and interior display. The purpose of this study was to determine the effect of store image and store atmosphere on purchase intention. The research method used is quantitative and causal methods. The sampling technique uses incidental sampling method, with a total of 97 respondents. Data analysis using multiple regression analysis, t test, F test. The results of this study are store image has no effect on purchase intention. While store atmosphere influences on purchase intention. Store image and store atmosphere simultaneously significantly influence on consumer purchase intention by 80%.
Hubungan Kepuasan Kerja terhadap Kinerja Karyawan pada PT Glostar Indonesia 2 Departemen Gudang
Authors: Mochamad Afrizal Maulana  , Agisna Tri Munandar
Published: April 2024

This research is motivated by the problem of turn over that continues to occur at PT Glostar Indonesia 2 Department of Warehouse. The results of interviews with managers and staff show the assumption that they generally think turn is normal. Then the purpose of this study was to determine the effect of job satisfaction on employee performance. The research method used is quantitative and associative methods. The sampling technique uses population sampling method, with 25 respondents. Data analysis used multiple regression analysis, t test, which was preceded by validity test, reliability test, normality test, heteroscedasticity test. The results of this study are job satisfaction has a significant positive effect on employee performance.
Sistem Informasi Manajemen Restoran Berbasis Web Responsive (Studi Kasus pada Restoran Mesra Sukabumi)
Authors: Didik Indrayana  , Prayoga Dwi Agung Wibisono
Published: April 2024

Food ordering system that exist in Restaurant Mesra still use the usual way, to make customer reservations come and then the waiters deliver the menu while the waiter is still manually writting customer’s orders using paper. After that the waiters deliver the customer's order to the kitchen and deliver to the customer who ordered the food, after that the customer pays to the cashier. This has an impact on the inaccuracies and delays in the ordering process. This happens because Mesra Restaurant has not implemented a computer-based system that can facilitate the ordering of the menu, and making sales reports. This research was conducted to make restaurant management information system at Mesra Restaurant to resolved these problems. The methodology used is the analysis and design of object-based systems with UML diagrams and website creation with PHP programming language. The final result of this research is the formation of a website of restaurant management information system at Mesra Restaurant in accordance with the description of system analysis and can meet the desire of consumers and the restaurant.
Pengaruh Organizational Culture dan Motivation terhadap Employee Performance pada RSUD Soreang Kabupaten Bandung
Authors: Rizki Chrisulianti  , Raihan Ula Hanifah
Published: April 2024

This study aims to determine: (1) The influence of organizational culture on employee performance, (2) the influence of motivation on employee performance, and (3) The effect of organizational culture and motivation on employee performance. The subjects of this study were some of the employees of Soreang Hospital in Bandung. The number of sampel is 100 respondent. The sampel selection tehnique used was purposive sampling. Methods of data collection through surveys using questionnaires. Technical quality testing tools include test of validity and reliability, classical analysis and descriptive analysis using the SPSS program. The results show that (1) Organizational culture has no effect on employee performance. (2) Motivation positively affects employee performance. 3) Organizational culture and motivation positively affect employee performance. Further research is needed by this RSUD so that employees are able to produce high performance.
Pengaruh Marketing Mix terhadap Customer Loyalty melalui Customer Satisfaction Kerudung di Outlet Rabbani
Authors: Fahrurrazi Fahrurrazi  , Saila Khoirunnisa  , Bambang Somantri
Published: April 2024

This study aims to determine the effect of brand image, product quality and price on customer loyalty through customer satisfaction products at Rabbani outlet Kota Sukabumi. The research method uses a survey method using a questionnaire distributed to 100 samples. The instrument quality testing techniques include validity and reliability tests. Data analysis techniques use descriptive analysis and correlation, while for hypothesis testing using path analysis. The first result on customer satisfaction shows that brand image has no direct effect on customer satisfaction, while product quality and price directly affect on customer satisfaction. The second result on customer loyalty shows that brand image, product quality and price directly had no effect on customer loyalty. This research is expected to help companies in applying the marketing mix that is adjusted to the conditions in the company environment so that it can be implemented.
Pengaruh Kompensasi dan Kompetensi terhadap Peningkatan Kinerja Pegawai (Survey pada Pegawai Universitas Widyatama)
Authors: Pawit Wartono  , Ryan Kurniawan
Published: April 2024

The era of globalization demands progress in all areas including in education. The world of education is the only formal institution to answer all the challenges that occur. This is where the role of the institution of education providers becomes important, because in it there are components of Human Resources in demand to work with professional and good quality work that is expected to be able to improve the progres of the institution. The purpose of this study is to determine the picture of Compensation and Competence and Employee Performance at Widyatama University. In addition, this study also aims to determine how much Compensation and Competence will together afect employee performance at Widyatama University. This research was conducted on Employees at Widyatama University with 66 respondents. The data collection technique is done through questionnaire and direct observation and using descriptive analysis method verifikatif. As for testing the hypothesis used multiple regression analysis method to test the hypothesis used t test and F test at the level of α = 0.05 with the help of SPSS Version 20 and Microsoft Excel program. Based on the results of research shows the picture that the compensation of employees are in good category, employee competence is in good category, and Employee Performance is in good category. There is a positive influence and significant variable Compensation to Performance of 0.467 or 46,7%, while the Competence variable significantly influence Employee Performance of 0.321 or 32,1%. The effect of simultaneous Compensation and Competence on Performance of 0.576 or 57,6% and the rest of 0.424 or 42,4% is another variable that is not examined. The conclusion of this research is there is significant influence between Compensation and Competence to effort of improvement of Employee Performance at WidyatamaUniversity.
Mudah Belajar Bahasa Inggris Menggunakan Media Sosial Youtube
Authors: Sukmawati Lilis , Aji Putra Purwanto Heribertus
Published: April 2024

This research was conducted in an effort to increase interest in learning English through Youtube media. while going to English education in our daily lives. especially the students who are studying. e.g. English is one of the common subjects but its existence is very important in supporting various other subjects. therefore, this study uses qualitative method with six (6) sample images and questionnaires as well as method method and transferability. the results of the learning force using Youtube content media increased can be in line with the communication strategy that dis dias over the target of learning.
Analisis Profesionalisme Pendidik Berbasis Agama, Filosofi, Psikologi, dan Sosialisasi
Authors: Saefurridjal Achmad , Fatkhullah Faiz Karim
Published: April 2024

Hasil dari penelitian profesionalisme dalam pendidikan merupakan kompetensi dasar sebagai acuan belajar: (1) berlandaskan agama mengacu pada konsep perintah Tuhan untuk membimbing keterampilan melalui perilaku beriman, saleh, pengajaran dan pengamatan yang cermat. Pendidik (guru/desen) teladan dan profesional harus berlandaskan dan selaras dengan Al-Qur'an dan Hadits; (2) berbasis filsafat berarti gagasan tentang pengetahuan established dan makna hidup sebagai gagasan yang murni dan orisinil dengan cara berpikir teosentris, holistik, spiritual, berpusat pada jiwa, kognisi batin, dan berorientasi pada nilai. Filsafat idealisme sangat penting dalam dunia pendidikan. Pada tahap ini, pendidik (guru/desen) harus mampu menggunakan secara rasional dan realistis  seluruh potensi anak didiknya; (3) berdasarkan psikologi, yang berarti gagasan pemikiran dan perilaku manusia bersifat humanistik, melalui terapi yang berpusat pada klien, version kisah hidup dan hierarki kebutuhan, psikologi pendidikan sebagai alat bagi guru untuk mengendalikan diri dan membantu siswa belajar; (4) berlandaskan sosiologimerupakan ilmu sosial yang memiliki gagasan membangunan dan mensejahterakan melalui investasi ekonomi. Peran pendidik (guru/desen) dari sudut pandang sosiologis pendidikan dapat membimbing dan mengarahkan perilaku siswa ke arah sosialisasi dan komunikasi yang positif.
Analisis Penerapan Program IPOS Pada Laporan Keuangan UMKM Wisna Mandiri
Authors: Wahyu Ghuna Khojanah Vinisa Jaya Tri , Firdausi Mustoffa Ardyan , Eka Ardiana Titin
Published: April 2024

Usaha Mikro, Kecil, dan Menengah atau biasa disebut merupakan salah satu aspek penggerak utama dalam peningkatan sektor ekonomi, sehingga perlu diketahui bahwa SAK EMKM merupakan standar akuntansi keuangan yang dapat dikatakan lebih sederhana dari Standar Akuntansi Keuangan untuk Entitas Tanpa Akuntabilitas Publik, Hal ini berkaitan dengan penerapan akuntansi yang diterapkan oleh pelaku usaha, sehingga perlu adanya kelanjutan dengan melakukan penelitian ini dengan mengambil permasalahan penelitian mengenai penerapan program IPOS, menganalisis sistem pencatatan laporan keuangan di Wisna Mandiri, serta kendala pelaksanaan program IPOS di UKM Wisna Mandiri. Manfaat dalam penelitian ini adalah: Menganalisis penerapan akuntansi yang dilakukan oleh UMKM Wisna Mandiri, Menganalisis penerapan laporan keuangan akuntansi yang dilakukan pada UMKM Wisna Mandiri sesuai dengan Standar Akuntansi Keuangan Entitas Mikro, Kecil, dan Menengah (SAK EMKM).
Pengaruh Experiential Marketing dan Service Quality Terhadap Repurchase Intention
Authors: Noer Ardi M , Tirta Wiyata Mariati , Lina Nur
Published: April 2024

Penelitian ini dilatarbelakangi oleh adanya permasalahan berkaitan dengan minat beli ulang yaitu, dari beberapa pelanggan yang biasanya datang pada setiap bulannya, namun sudah mulai terlihat tidak lagi. Penelitian ini menguji pengaruh experiential marketing dan service quality terhadap permasalahan minat beli ulang (repurchase intention) tersebut. Penelitian menggunakan pendekatan kuantitatif. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada 100 orang responden. Data dianalisis menggunakan uji regresi linear berganda. Hasil penelitian menunjukkan bahwa experiential marketing berpengaruh positif terhadap repurchase intention, sedangkan service quality tidak berpengaruh terhadap repurchase intention. Terjadinya pandemi covid-19 cukup menghambat pelanggan yang biasa berbelanja untuk melakukan atau berminat melakukan pembelian ulang.
Analisis Penjadwalan Produk Aquascape Pada Nickz Aquascape
Authors: Fadillah Muhammad Dimas , Mubarokah Mubarokah , Laily Dona Wahyuning
Published: April 2024

Produksi aquascape pada Nickz Aquascape memerlukan penjadwalan agar dapat selesai dalam waktu yang optimal. Aquascape merupakan seni menata tanaman air, batu, dan kayu di dalam akuarium secara estetis. Masa pandemi ini membuat permintaan aquascape mengalami peningkatan tajam. Dalam bisnis yang memerlukan waktu dalam pengerjaan produk, sering dijumpai masalah selisih waktu antara tanggal jatuh tempo dengan tanggal pengiriman yang menimbulkan keluhan pelanggan dikarenakan tidak adanya jadwal pengerjaan yang jelas pada setiap pesanan. Dalam penelitian analisis penjadwalan produk aquascape, peneliti menggunakan metode PERT. Metode ini menguraikan rangkaian kegiatan pembuatan aquascape diantaranya: jenis kegiatan, urutan kegiatan dan waktu yang dibutuhkan dalam kegiatan. Untuk memvisualisasikan metode PERT digambarkan menggunakan diagram jalur kritis sebagai ilustrasi. Dari hasil analisis menggunakan metode PERT diketahui bahwa jalur kritis pada kegiatan produksi aquascape ukuran 120cm adalah A-B-C-G-H-I-J-K-L memiliki lama penyelesaian 66.74 jam.
Pengaruh Model PjBL-Steam Terhadap Kreativitas Siswa Ditinjau Dari Pemahaman Konsep Kimia Pada Materi Sel Volta Di SMA N 2 Tanjung Jabung Timur
Authors: Oktavia Neng Early , Haryanto Haryanto , Ngatijo Ngatijo
Published: April 2024

Pendidikan merupakan aspek terpenting dalam upaya pemberdayaan manusia. Melalui pendidikan pengembangan potensi, kepribadian, kecerdasan, keterampilan serta ahlak mulia siswa dapat dibentuk dan diarahkan. Penelitian ini bertujuan untuk mengetahui pengaruh model PjBL-STEAM terhadap kreativitas siswa yang ditinjau dari pemahaman konsep kimia pada materi sel volta. Jenis penelitian yang diterapkan adalah quasi experiment. Populasinya adalah seluruh kelas XII IPA SMAN 2 Tanjung Jabung Timur. Sampel sebanyak dua kelas yang dipilih secara random sampling. Instrumen penelitian yang digunakan berupa tes pemahaman konsep, tes kreativitas serta lembar penilaian kinerja. Adapun data dalam penelitian ini dianalisis menggunakan ANAVA Dua Jalur. Hasil penelitian menunjukkan bahwa ada pengaruh yang signifikan antara model PjBL-STEAM terhadap Kreativitas siswa (α=0,030 < α=5%), peserta didik yang mempunyai pemahaman konsep tinggi memiliki kreativitas lebih tinggi daripada siswa yang memiliki pemahaman konsep rendah (α=0,000 < α=5%), ada pengaruh interaksi yang sangat baik antara model PjBL-STEAM dan pemahaman konsep terhadap kreativitas siswa (α=0,046 < α=5%). Kesimpulan penelitian ini menunjukkan bahwa terdapat pengaruh yang signifikan pada model PjBL-STEAM terhadap kreativitas siswa. Peserta didik yang mempunyai kemampuan pemahaman konsep yang tinggi juga memiliki kreativitas yang lebih tinggi pula.
Employee Engagement Membantu Kepemimpinan Meningkatkan Kinerja Karyawan UMKM Selama Pandemi Covid 19
Authors: Febrianti Wenty , Abdulah Budiman
Published: April 2024

Peran kepemimpinan dalam mengelola sumber daya manusia di tengah pandemi COVID-19 tentu bukan perkara mudah. Karyawan diminta untuk terus memberikan kinerja terbaiknya di tengah tekanan pandemi covid 19. Tujuan dari penelitian ini adalah untuk mengkaji dan menganalisis peran kepemimpinan dalam meningkatkan prestasi kerja pegawai melalui employee engagement pada pegawai UMKM yang terdampak pandemi covid 19. Metode pengambilan sampel dalam penelitian ini adalah probability sampling. Penentuan sampel dalam penelitian yaitu sebesar 280 pegawai dari populasi 932 pegawai. Metode analisis data yang digunakan adalah teknik SEM (Structural Equation Model) dengan menggunakan analisis jalur dan regresi melalui second order confirmatory testing dimana pengukuran tidak hanya dilakukan melalui indikator tetapi dengan melihat dimensi yang kemudian diolah dengan bantuan program SmartPLS. Hasil penelitian menunjukkan bahwa terdapat pengaruh positif dan signifikan antara kepemimpinan terhadap employee engagement pegawai UMKM. Hasil penelitian juga menunjukkan bahwa terdapat pengaruh positif dan signifikan antara employee engagement terhadap kinerja pegawai UMKM. Kemudian terdapat pengaruh positif dan signifikan antara kepemimpinan terhadap kinerja pegawai UMKM, hasil penelitian juga menunjukkan bahwa terdapat pengaruh positif dan signifikan antara kepemimpinan terhadap kinerja pegawai UMKM melalui employee engagement. Urgensi dari penelitian ini adalah kualitas kinerja sumber daya manusia khususnya pegawai yang bekerja di sektor usaha mikro, kecil dan menengah yang mampu membawa kesuksesan kualitas UMKM. Sehingga implikasi manajemen yang dapat diterapkan adalah dalam hal kepemimpinan, seorang pemimpin harus mampu memiliki sikap yang inovatif, dan selalu memotivasi karyawan untuk menciptakan keterikatan yang tinggi antara karyawan dengan perusahaan sehingga dapat meningkatkan kinerja karyawan yang tentunya akan berpengaruh pada kinerja karyawan.