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Devotion: Journal of Research and Community Service
Published by Green Publisher Indonesia
ISSN : 27770915     EISSN : 27976068     DOI : 10.36418
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Devotion : Journal of Community Service : is a journal that makes it easy for anyone who wants to publish scientific papers in an intensive manner in research. This journal also aims to bridge the gap between textual and contextual approaches to all clumps of knowledge; So, the journal invited the meeting points of several disciplines and scholars.
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Articles 12 Documents
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Search results for , issue "Vol. 6 No. 9 (2025): Devotion: Journal of Community Research" : 12 Documents clear
Innovation in Marketing: The Emergence of New Technologies Shaping Future Marketing Concepts and Perspectives Majid, M. Majid; Rajiman, Rajiman; Nugraheni , Evy Nahdia Zuliastuti; Busono, Aulia
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25499

Abstract

Rapid technological advancements have significantly impacted various fields, including marketing. This article examines the emergence of new technologies in the marketing industry and their influence on companies' strategies. The aim of this research is to develop a framework that understands the role and benefits of new technologies in shaping the future of marketing. In this study, researchers investigated various technologies that are on the rise in marketing, such as artificial intelligence, advanced data analytics, location-based marketing, and the application of blockchain technology in marketing campaigns. The researchers analyzed how these technologies have helped companies improve efficiency, target audiences more precisely, and create more personalized customer experiences. In addition, this article also discusses the challenges faced by companies in adopting and integrating new technologies in their marketing strategies. Technological advancements often bring new complexities and paradigm shifts, which can affect the way companies interact with consumers and the market as a whole. Therefore, the researcher proposes a framework that can help companies in understanding and addressing these challenges more effectively. The results of this research show that new technologies have opened up new opportunities in marketing, increased campaign creativity, optimized data management, and expanded brand reach globally. However, to take full advantage of the potential of this technology, companies must understand market shifts, consumer behavior, and industry trends. This article also explores how technology will further transform marketing, urging businesses to proactively adapt and integrate innovations.
Sustainability Marketing: Marketing Concepts in the Era of Sustainability Somad, Abdul; Fatmawati, Fatmawati; Budhisusetyo , Amang; Zuhri, Zuhri
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25500

Abstract

The conceptual issue of sustainable marketing is still a challenge, although this topic is increasingly discussed in the marketing literature. Terms such as sustainability marketing, sustainable marketing, and green marketing are often used interchangeably, causing confusion among academics and practitioners alike. This research aims to clarify the concept of sustainable marketing through discourse analysis of leading articles while identifying various approaches in its application. The research method used discourse analysis on 166 selected articles from the Scopus database which included the most influential publications. The analysis was carried out by categorizing theoretical and practical perspectives based on the framework of Hopwood et al. (2005). The findings of the study reveal three main approaches: Auxiliary Sustainability Marketing (ASM) which focuses on refining conventional marketing practices, Reformative Sustainability Marketing (RSM) which drives sustainable lifestyle changes, and Transformative Sustainability Marketing (TSM) which demands systemic transformation in social and economic institutions. This research makes an important contribution by presenting a clearer conceptual foundation for the development of sustainable marketing theory. For practitioners, the results of the research can be a guide in choosing an approach that is in accordance with the organization's sustainability goals. Going forward, further research is needed to test the effectiveness of each approach in a variety of different business contexts.
Determinants Related to Low Back Pain Complaints in Rice Farmers in Pantilang Village, North Bastem District Kabupaten Luwu Sombolinggi, Yeltiani; Adam, Arlin; Alim, Andi
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25511

Abstract

Low back pain is pain felt in the lower back that originates from the spine, muscles, nerves, or other structures in the area. Back pain can be caused by diseases or disorders that originate outside the lower back, such as diseases or disorders in the waist. This study aims to identify the determinants related to low back pain complaints in rice farmers in Pantilang Village, North Bastem District, Luwu Regency in 2023. The research employed a quantitative observational analytical study with a cross-sectional approach. The population consisted of all rice farmers in Pantilang Village, and based on the Slovin formula calculation, a total of 37 samples was obtained using simple random sampling technique. Data collection instruments included questionnaires and REBA sheets, with Chi-square test analysis using SPSS 20 software. The study results showed significant relationships between work posture and low back pain complaints (p=0.002), workload (p=0.000), duration of work (p=0.018), and exercise habits (p=0.004). The conclusion indicates that there are significant relationships between work posture, work duration, workload, and exercise habits with low back pain complaints in rice farmers in Pantilang Village, North Bastem District, Luwu Regency in 2023.
Construction Management Planning for the Development of Hotel Prisma Indah V Floor Kertajati Majalengka Apidi, Muhammad; H, Andhika Tresna
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25513

Abstract

Construction management is the process of planning, organizing, and supervising construction projects to ensure they are completed on time, within the specified budget, and at the expected quality. This research aims to enhance and develop knowledge in construction management. It provides an overview and input on controlling project time and costs. It also seeks to determine the work volume, construction costs, the bar chart, and the S-curve analysis. Construction management planning for the construction of the Prisma Indah V floor hotel in Kertajati Majalengka includes volume calculations, bar charts, RAB, Cost Recap, and AHSP in the Majalengka area, using data collection methods (direct field observation and searching for theories in the library), data types (primary data and secondary data), and data sources. This study identifies the construction management stages of the project: preparatory work, foundation, ground floor, 1st floor, 2nd floor, 3rd floor, 4th floor, and roof floor. By calculating the work weight through bar chart analysis, S-curve, and CPM for the construction of the Prisma Indah V-floor hotel building in Kertajati Majalengka, we obtained the suggested volume in our report and estimated the completion of the work within 42 weeks or 294 days, with costs of approximately IDR 12,119,000,000 (Twelve Billion One Hundred Nineteen Million Rupiah).
The Influence of Social Media Marketing on Purchase Intent: The Role of Mediation Brand Image and Brand Trust on The Brand of Sunscreen Valorie Yang Cen, Ronald; Nurlaela, Siti; Anindita, Rina; Baskara, Ika
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25523

Abstract

The growing awareness of skin care has led to the rise of many sunscreen brands, especially in tropical countries like Indonesia, making it vital to understand factors affecting consumer purchase intent through digital marketing strategies. This research analyzes the influence of social media marketing on purchase intention, directly and through the mediating roles of brand image and brand trust. Using a quantitative method, an online questionnaire was distributed to 124 active TikTok users who had seen promotions of Unitary sunscreen on the platform. Data were analyzed using Partial Least Squares – Structural Equation Modeling (PLS–SEM) with SmartPLS4 software. Results show that social media marketing via TikTok significantly strengthens brand image and brand trust in Unitary sunscreen. Creative, consistent, and lifestyle-relevant promotions help form positive perceptions and increase consumer confidence in product quality, driving purchase intent. The findings also reveal that direct calls to purchase are less effective without a strong brand image and brand trust. Therefore, digital promotion success depends on the brand’s ability to build emotional connections with consumers. This research contributes theoretically to digital marketing literature and offers practical implications for skincare industry players aiming to design more effective and targeted promotional strategies. It underscores the critical role of social media marketing in shaping consumer behavior through brand image and brand trust, especially in competitive markets like sunscreen products.
Hyperparameter Optimization in Deep Learning Techniques for Multimodal Biometric Verification Ghosh, Partha; Jana, Shubhrima; Ghosh, Shreya; Dhar, Rashmi
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25529

Abstract

Biometrics plays a crucial role in mitigating threats such as theft, duplication, and cracking by offering more secure verification methods. To enhance system reliability, researchers are increasingly focusing on multimodal biometrics that integrate facial recognition and fingerprint identification. The objective is to design a biometric verification system that leverages deep learning to automatically extract and analyze features from fingerprints, videos, and facial images. This system employs image scaling and data augmentation during preprocessing to preserve information and reduce computational time. To strengthen resistance against software attacks and varying poses, dynamic fusion techniques applied to hand-surface features are incorporated. Furthermore, multi-scale single-shot face detectors enable efficient face detection in unconstrained videos, while memory-efficient deep neural networks (DNNs) ensure optimal resource utilization. The study applies advanced approaches such as Transfer Learning and Hyperparameter Optimization algorithms, including Keras Tuner (Random Search), Genetic-CNN, Teaching Learning Based Optimization (TLBO), and Grey Wolf Optimizer (GWO). Findings demonstrate that models integrated with hyperparameter optimization significantly outperform those without optimization. For facial recognition, CNN-GA achieved an impressive classification accuracy of 99.75%, while in fingerprint recognition, Keras Tuner recorded a peak accuracy of 99.09%. These outcomes highlight the effectiveness of combining deep learning with optimization strategies in building robust multimodal biometric systems. By integrating efficient preprocessing, adaptive algorithms, and optimized architectures, the proposed framework not only enhances accuracy but also ensures resilience against diverse attack vectors, positioning multimodal biometrics as a key solution for future secure authentication technologies.
Structural Planning of 6- Storey Hotel Building in Subang District Nazarudin, Jabbaarru; Rizkyansyah, Zahran; Nurokhim, Sofyan; Sumarman , Sumarman
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25532

Abstract

The structural planning of multi-story buildings is a crucial aspect of the construction process, as it determines the extent to which a building can withstand loads and function safely throughout its service life. A well-designed structure will be resilient against various types of loads, including static loads such as the self-weight of the structure, as well as dynamic loads such as occupant activities, wind forces, and seismic forces. Therefore, structural planning must be carried out comprehensively and in accordance with applicable standards and regulations to ensure that the building possesses adequate strength, stability, and safety under various loading conditions. This study focuses on the structural planning and analysis of a six-story hotel building located in Subang Regency, West Java. In this research, local soil conditions and several national standards such as SNI 2847:2019, SNI 1727:2020, and SNI 1726:2019 are carefully considered. Structural analysis is carried out using ETABS version 22.6.0 to model and evaluate how the columns, beams, floors, and foundations are able to withstand all types of loads. The results of this study are expected to serve as a reference for designing similar building structures and to contribute to improving the quality of multi-story building planning in Indonesia.
Performance Test of Animal Feed Chopping Machine with Electric Motor Drive Erwin, Erwin
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25537

Abstract

Animal feed is a crucial factor influencing animal productivity and health. Ensuring the availability of high-quality feed, both in terms of nutritional content and physical appearance, is essential. One way to improve the physical quality of feed is through the shredding process using a shredding machine. This study aimed to test the performance of the shredding machine in processing two types of animal feed: sedge grass and banana stems. The research method used an experimental approach with three repetitions, including measuring effective capacity, cutting uniformity, and percentage of material loss. The test results showed that the machine's effective capacity was more optimal for sedge grass, at 38 kg/hour, compared to 34 kg/hour for banana stems. The cutting uniformity values were relatively similar, at 80.2% for sedge grass and 80.0% for banana stems. The percentage of material loss for sedge grass was 2.6%, significantly lower than for banana stems, which reached 9.2%. This indicates that the machine is more efficient when used on soft, fine-fibered materials. Compared to previous studies, the machine's capacity in this study was still significantly lower due to limited motor power (500 watts) and a simple blade design. However, the machine is capable of producing uniform cuts and quite good efficiency, especially on the grass material.
Design and Build an Internet of Things (IoT) Based Wastewater Monitoring System at Cirebon Pelabuhan Hospital Muhaimin, Muhammad; Dony, Abdul Rochman; Juhaeriyah , Juju
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25539

Abstract

Wastewater at the Cirebon City Port Hospital that is not treated properly can cause environmental damage. In this case, technological advances are very rapidly developing in the manufacture of sophisticated tools, namely tools that can work automatically and have high precision. Therefore, in this study, we will conduct a prototype for monitoring the Wastewater Management Installation (WWTP), so hereby the author develops his research by directly applying the Wastewater Management Installation (WWTP) at Cirebon Port Hospital. In this prototype we used an esp 8266 microcontroller to read commands, a turbidity sensor to measure water turbidity, a DS18B20 sensor to measure the temperature of the water, a pH sensor to measure the acidity level of the water and an MIT App to read the output that is read by the sensor input that has been read by the firebase in real-time. The calibration results showed that all sensors were able to read the values with fairly good accuracy. The pH sensor shows an average accuracy of about 97.8%. The turbidity sensor shows an average accuracy of about 97.1%. The temperature sensor DS18B20 shows an average accuracy of about 97.7%. In the test results of the samples from the 4 readings in tubs 1 to 3, an error was shown because the results of the turbidity sensor reading were above 30 because the 1 to 3 tubs had not been filtered.
The Influence of Artificial Intelligence Integration, Customer Technology Proficiency, Innovation Culture on E-Commerce Adoption and Its Impact on Marketing Performance With Entrepreneurial Orientation as a Moderation Variable Kurniawan, Andy; Prihandono, Dorojatun
Devotion : Journal of Research and Community Service Vol. 6 No. 9 (2025): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v6i9.25540

Abstract

This research is motivated by the low level of e-commerce adoption among Kendal's MSMEs, despite the government's implementation of various initiatives to support digital transformation. This study aims to analyze the influence of artificial intelligence integration, customer technological skills, and a culture of innovation on e-commerce adoption and its impact on marketing performance, with entrepreneurial orientation as a moderating variable. The sampling technique used in this study was a non-probability sampling method, namely purposive sampling, using primary data sources. The population included all MSMEs in Kendal. The sample consisted of 300 respondents, all MSMEs in Kendal. Data collection was conducted using an online questionnaire via Google Forms. Data processing used Partial Least Square Structural Equation Modeling (PLS-SEM). The results showed that AI integration had a positive and significant effect on marketing performance for MSMEs in Kendal Regency. AI integration has a positive and significant effect on E-commerce Adoption for MSMEs in Kendal Regency. Customer Technology Savviness has a positive (0.948) and significant effect on Marketing Performance for MSMEs in Kendal Regency. Customer Technology Savviness has a positive and significant effect on E-commerce Adoption for MSMEs in Kendal Regency. Innovation Culture has a positive and significant effect on Marketing Performance for MSMEs in Kendal Regency. Innovation Culture has a positive and significant effect on E-commerce Adoption for MSMEs in Kendal Regency. E-commerce adoption has a positive and significant effect on marketing performance for MSMEs in Kendal Regency. Entrepreneurial orientation moderates the strengthening relationship between e-commerce adoption and MSME marketing and is significant.

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