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The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

The rapid development of information technology has had a significant impact on various sectors of life, including micro-enterprises such as meatball stalls. Amidst increasingly fierce competition and the need for operational efficiency, many micro-enterprises are shifting from manual management systems to digital systems. This study aims to explain the background, objectives, and benefits of utilizing information technology in managing meatball stalls, with a focus on the implementation of the Odoo application as a business management solution. Odoo is an open-source Enterprise Resource Planning (ERP) system that offers various functional modules such as Point of Sale (POS), inventory management, accounting, and Customer Relationship Management (CRM). Through the implementation of Odoo, meatball stalls can manage various operational aspects in an integrated manner, from recording sales transactions, managing raw material stock, financial reporting, to customer relations. The results of this technology implementation show significant improvements in data recording accuracy, service speed, and ease of decision-making based on accurate and real-time data. In addition, this technology also provides opportunities for stall owners to develop their businesses more professionally and competitively. Thus, the integration of information technology like Odoo not only improves efficiency and productivity but also contributes to economic growth by strengthening the micro-enterprise sector. This digital transformation is expected to be a strategic step in realizing a modern meatball stall that can compete in the digital era.

This study focuses on developing a web-based Research and Community Service Information System (SIPPMAS) for Politeknik Takumi Bekasi, utilizing the Waterfall methodology. The aim is to create an integrated platform that streamlines the management of research and community service activities, from proposal submission and budget allocation to project execution and final reporting. The Waterfall method was chosen for its structured, sequential approach, ensuring a systematic development process through distinct phases: requirements analysis, design, implementation, testing, and maintenance. This approach is expected to enhance data accuracy, improve operational efficiency, and provide real-time project monitoring, ultimately facilitating better collaboration among stakeholders and increasing the overall impact of research and community service initiatives at Politeknik Takumi Bekasi. The system is designed to address current manual administrative challenges, offering a centralized and accessible solution for all users.

Penerapan konsep kota cerdas menjadi arah strategis dalam mengelola kompleksitas urbanisasi sekaligus meningkatkan kualitas sumber daya manusia agar lebih adaptif dan kompetitif. Namun, dalam praktiknya, masih ditemukan berbagai permasalahan seperti keterbatasan infrastruktur digital, rendahnya literasi teknologi masyarakat, serta belum optimalnya integrasi teknologi dalam tata kelola kota. Kesenjangan ini dapat menghambat upaya membangun SDM yang berdaya saing tinggi. Studi ini bertujuan untuk menganalisis bagaimana teknologi kecerdasan buatan dapat mendukung transformasi kota cerdas dalam kerangka peningkatan daya saing manusia. Metode yang digunakan adalah pendekatan deskriptif berbasis studi literatur, dengan fokus pada pemetaan peran kecerdasan buatan dalam mendukung pilar smart city: smart governance, smart economy, smart people, smart mobility, smart environment, smart society, dan smart living. Hasil kajian menunjukkan bahwa pemanfaatan kecerdasan buatan mampu mendorong efisiensi layanan publik, memperkuat sistem pendidikan berbasis personalisasi, mendukung analitik data untuk pengambilan keputusan, serta menciptakan ekosistem inovatif yang merangsang pengembangan kompetensi SDM. Selain itu, sinergi antara pemerintah, sektor industri, dan lembaga pendidikan menjadi kunci dalam memastikan bahwa transformasi digital yang dilakukan mampu menjangkau seluruh lapisan masyarakat secara adil dan berkelanjutan. Dengan pemanfaatan kecerdasan buatan secara inklusif dan etis, kota cerdas tidak hanya menjadi solusi teknologi, tetapi juga platform strategis dalam mencetak manusia yang unggul dan siap bersaing dalam era global.

Technological advancements have brought fundamental changes in the way we interact with digital images and photography. One significant milestone in this development is the Photoshop Express Photo Editor, which has become a primary platform for image processing and editing. Datasets are used to analyze sentiment and are utilized during the accuracy testing phase. Based on the testing results, the Convolutional Neural Network (CNN) algorithm achieved an average accuracy value of 86.50%, compared to the Naïve Bayes (NB) algorithm, which achieved an average accuracy value of 75%. The results of the research conclude that the choice of sentiment analysis method should be tailored to the needs and limitations of the system. If a fast, light, and easy-to-understand process is required, the Naive Bayes method is the right choice. However, if accuracy and context understanding are the top priorities, then CNN is a superior approach, although it requires more resources. Additionally, based on the Wordcloud data, it is known that the majority of comments are positive, indicating that the reviews or texts analyzed contain many positive expressions related to quality, usability, and ease of use.

Digital resolution has accelerated fundamental transformations in the retail and financial sectors, which has implications for significant changes in public consumption. E-commerce platforms now provide a diversification of payment methods to optimize the consumer experience, including the implementation of a delayed payment system (paylater). This study aims to analyze the influence of ease of use and perceived security on doom spending behavior among college students using Shopee PayLater. This study adopted a quantitative approach using a survey design as the research method. The data collection process was carried out through a questionnaire instrument distributed to 100 student respondents selected using a purposive sampling technique. Data analysis was conducted using various statistical techniques including instrument validity and reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing using SPSS version 25 software. Partially, the ease of use variable did not show a significant influence on student doom spending behavior. Conversely, the security variable showed a significant positive influence on doom spending tendencies among college students using the Shopee PayLater service. When analyzed simultaneously, both the ease of use and security variables showed a positive and significant influence on doom spending behavior of Shopee PayLater users.

A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

Modern education has undergone significant transformation with the integration of technology into learning. Technology plays a crucial role in enhancing motivation, creativity, and learning effectiveness through interactive media, digital applications, and online platforms. This review employs a literature study method to analyze the impact of technology on learning processes. The analysis reveals that technology facilitates access to information, increases student engagement, and enriches teaching strategies. However, challenges such as technological access gaps in remote areas, limited teacher competencies, and potential negative impacts like internet addiction and reduced communication skills persist. Hence, strategic approaches, including teacher training and infrastructure development, are needed. This study highlights the importance of wise implementation of technology to support inclusive and sustainable education.

This study aims to explore the behavioral dynamics of Generation Z (Gen Z) toward digital culinary brands on TikTok, a platform increasingly central to youth consumer engagement. The research investigates how Gen Z interacts with, interprets, and forms relationships with culinary content in a digital environment shaped by algorithmic trends and participatory culture. Employing a qualitative phenomenological approach, data were collected through in-depth interviews with 12 Gen Z participants aged 18–24 years who actively engage with culinary brand content on TikTok. Additional data were obtained from observational analysis of brand-related content and user interactions on the platform. Thematic analysis revealed three core themes: emotional engagement with sensory-rich food content, digital consumption as identity performance, and expectations of brand authenticity and interactivity. Participants expressed strong affective responses to visually appealing and immersive content, linked their brand preferences to personal values and social identity, and favored brands that demonstrated responsiveness, humor, and human-like interaction. These findings highlight the role of TikTok not only as a marketing tool but as a cultural space where brand perception and loyalty are socially constructed. This study contributes to the theoretical understanding of consumer engagement by situating Gen Z’s behavior within a sociocultural and digital framework. Practically, it offers insights for culinary brands to develop more authentic, interactive, and value-driven content strategies. The findings also suggest implications for digital marketing policies and content regulation. Future research is recommended to explore cross-platform behaviors and cultural variations in digital brand engagement.

The aim of this study is to develop learning media on the Educaplay platform on the topic „Freunde, Kollegen und Ich“. This study uses a qualitative approach and the development model based on the theory of Richey and Klein. This theory includes three phases: (1) planning, (2) creation, and (3) evaluation. The book Netzwerk neu A1 by Stefanie Dengler et al. (2021) was used as the data source in this study. The data consist of words, sentences, and grammatical rules at the A1 level taken from Chapter 2 „Freunde, Kollegen und Ich“, which appears on pages 18–27. The grammar topics covered in this chapter include: (i) irregular verbs and personal pronouns, (ii) yes/no questions, (iii) definite articles: der, die, das, (iv) nouns: singular and plural, and (v) the verbs haben and sein. The result of this study is a set of learning media on the Educaplay platform in the form of grammar exercises at the A1 level. The materials were validated by content experts based on five assessment criteria and scored 90 points, which corresponds to a very good rating. The Educaplay learning media was also validated by media experts and received a score of 90 points, also indicating a very good rating. Based on the findings of this study, the exercises developed on Educaplay can be used by lecturers and students as innovative and interactive learning media for A1 grammar.

The rapid development of information technology has an impact on the development of financial services with the presence of Peer-to-Peer (P2P) Lending Financial Technology. The presence of P2P Lending has created its own legal complexities in relation to the legal relationship between lender and borrower and risk mitigation efforts, especially the risk of default without specific collateral. This research aims to analysis the legal relationship between Lender and Borrower and the legal protection for Lender in the event of default risks in the implementation of P2P Lending in Indonesia using a normative legal approach. The results of the research indicate that the legal relationship between lender and borrower is a general loan agreement involving a P2P lending platform as an intermediary between lender and borrower. POJK No. 10/POJK.05/2022 plays an important role as a regulation that ensures risk mitigation in the implementation of P2P lending, including the obligation of operators to transfer funding risks to third parties, which has been implemented by PT Amartha Mikro Fintek in collaboration with PT Jaminan Kredit Indonesia (Persero) to provide guarantee facilities for P2P Lending services to ensure legal protection for Lenders.

This study examines the usage behavior of art college students of digital libraries within the context of digital intelligence in Sichuan. It explores how motivational factors, knowledge, and traits influence students' engagement with digital resources. The research highlights that intrinsic motivations, such as personal interest and creativity, significantly drive students to utilize digital libraries effectively. Additionally, the level of digital literacy and familiarity with available resources plays a crucial role in determining usage frequency and depth. Personality traits, such as openness and conscientiousness, also influence how students interact with these platforms. By understanding these dynamics, the study aims to provide insights for educational institutions to enhance digital library services, ultimately fostering better academic outcomes and career readiness for art students in a rapidly evolving digital landscape. The findings suggest that student usage behavior correlates with the influence of motivation, knowledge, and traits in a sample of 385 art college students.

This study aims to analyze the effectiveness of Facebook and Instagram as public relations communication tools at MI Darun Najah Srobyong, Jepara. A qualitative approach was employed using observation, in-depth interviews with the public relations team, teachers, parents, and community leaders, as well as documentation analysis. The findings indicate that both platforms have contributed to improving information transparency, community engagement, and the school's public image. However, several challenges were identified, including limited human resources and digital literacy gaps among parents. The study recommends content management training, digital literacy programs, and enhanced two-way interaction to optimize the role of social media in elementary school communication strategies.

This study aims to examine the influence of trust and promotions on repurchase intention on the Tokopedia e-commerce platform among students of Mulawarman University. E-commerce is increasingly becoming the primary platform for buying and selling activities, and understanding the factors that influence repurchase intention is crucial for business sustainability. Trust and promotions are two key variables believed to significantly shape consumer behavior. This research employs a quantitative method by distributing questionnaires to 100 Mulawarman University students who have previously shopped on Tokopedia. The collected data were analyzed using multiple linear regression techniques to test theinfluence of trust and promotions on repurchase intention. The analysis results indicate that both trust and promotions significantly influence repurchase intention on Tokopedia. Trust is found to be the most dominant factor, followed by promotions, which also have a positive impact. These findings imply that increasing trust through secure transactions, reliable products, and responsive customer service, along with effective promotional strategies, can enhance consumers' repurchase intention. This study provides practical contributions for Tokopedia management in designing strategies to maintain and increase repurchase intention among students. Additionally, it offers theoretical insights for further research on consumer behavior in e-commerce platforms

he Role of Communication Networks in Supporting the Development of the Masjid Nusantara Program, a strategic initiative focused on the construction and empowerment of mosques across various regions in Indonesia. This study employs a descriptive qualitative approach using Social Network Analysis (SNA), with data collected through in-depth interviews with key informants from the Masjid Nusantara Foundation. The findings reveal that digital communication channels such as social media, WhatsApp, email, and the official website play a vital role in promoting the program, building public engagement, and mobilizing financial support. Internal coordination is carried out regularly and systematically through digital platforms, with local volunteers serving as the key communication bridges in the field. The established communication network involves various actors, including the central team, volunteers, donors, community leaders, and external partners, who collaborate in a participatory and coordinated manner.  

This article examines the juridical aspects of online loans (pinjol) as an alternative method for Indonesian students to pay tuition fees (SPP and UKT), with a focus on the partnership between universities and fintech institutions like Danacita. Using normative legal methods and literature analysis, the study finds that while online lending platforms are legally regulated under POJK No. 77/POJK.01/2016, there are still gaps in legal protection for students as consumers. The lack of targeted consumer protection, transparency, and financial literacy raises serious risks of over-indebtedness and academic dropout. This paper calls for more stringent government oversight, improved regulatory enforcement by OJK, and the development of accessible, fair educational financing alternatives.

The rapid expansion of fintech lending services, particularly cross-border peer-to-peer (P2P) lending, has created significant legal challenges concerning consumer protection. This study examines whether existing legal frameworks adequately safeguard consumer rights within the borderless digital lending environment. Utilizing a normative-juridical method combined with a comparative approach, the research analyzes Indonesia’s regulatory structure alongside selected international frameworks. The findings reveal substantial gaps in consumer protection, exacerbated by the proliferation of illegal online lending platforms, regulatory fragmentation across jurisdictions, and the misuse of personal data. National regulations often prove insufficient to address complex cross-border legal issues. This study underscores the urgency of global regulatory harmonization, enhanced national oversight mechanisms, and improved digital literacy among consumers. It concludes with recommendations for regulatory reform, the establishment of international supervisory cooperation, and the strengthening of institutional roles, particularly by financial and communication authorities, to ensure robust consumer protection in the evolving fintech lending ecosystem.

In the era of data-driven digital commerce, Artificial Intelligence (AI)-based product personalization has become a key strategy to enhance user experience and foster customer loyalty. However, in the Indonesian e-commerce landscape, there remains a lack of empirical understanding of how personalization systems influence long-term user engagement. This study investigates the impact of AI-driven product personalization on customer loyalty among Indonesian e-commerce users. Employing a mixed-methods approach, quantitative data were collected through an online survey of 150 active users, and qualitative insights were obtained from in-depth interviews with six informants. Statistical analysis using simple linear regression revealed that personalization significantly influences customer loyalty, with a beta coefficient of 0.653 (t = 8.241, p < 0.001) and an R² value of 0.567. Qualitative findings highlight user concerns over recommendation accuracy, interface overload, and repetitive suggestions, which affect emotional satisfaction and platform attachment. This research contributes to the growing body of knowledge on AI adoption in e-commerce by integrating behavioral and technological dimensions of loyalty formation. It also offers practical implications for designing more context-sensitive personalization systems that prioritize not only algorithmic precision but also user control and experience quality.

The challenges often faced by MSMEs are how to promote their products. The technology development nowadays encourages MSMEs to utilize several social media platforms such as Instagram, Facebook, and websites as a promotional tool. The use of social media was believed can help expand the market. This is what is done by the Batik MSME in Juwet Kenongo Village, Sidoarjo Regency. However, the use of this technology is still not effective in increasing their sales. Batik sales are still dominated by orders and participation when attending exhibitions. This is due to the less-than-optimal strategy for utilizing social media. In addition, the storytelling aspect is still an obstacle when promoting on social media. Strengthening storytelling skills through a workshop is believed to be effective in helping MSMEs compose better story narratives. Besides that, this workshop is believed to be an urgent need for MSMEs. The focus of this community service is educational assistance related to compiling marketing through storytelling. MSMEs will be equipped with product narrative writing techniques. The assistance activities were welcomed by MSMEs. The participants were also cooperative and actively asked questions to the speakers. By participating in this training, MSMEs gain insight into the importance of strengthening the storytelling aspect in compiling interesting captions or narratives.

This research was conducted on students of the Faculty of Economics and Business at Slamet Riyadi University in Surakarta who use the e-commerce platform Tokopedia. The purpose of this study is to analyze the significance of the influence of brand ambassadors, electronic word of mouth (e-WOM), and price perception on purchasing decisions in Tokopedia's e-commerce. The type of data used is quantitative data, with primary data sources employed in this research. The data analysis techniques used in this study include multiple linear regression analysis, classical assumption tests, t-tests, F-tests, and the coefficient of determination (R²). The results of the multiple linear regression analysis from this study are represented by the equation Y = 6.518 + 0.695 X1 + 0.168 X2 - 0.210 X3 + e. The t-test results indicate that the variables of brand ambassador, electronic word of mouth (e-WOM), and price perception have a significant effect on purchasing decisions in Tokopedia's e-commerce. The F-test results show that the model is appropriate for predicting the influence of brand ambassadors, electronic word of mouth (e-WOM), and price perception on purchasing decisions in Tokopedia's e-commerce. The coefficient of determination (R²) obtained is 0.594, meaning that the independent variables X1 (brand ambassador), X2 (electronic word of mouth (e-WOM)), and X3 (price perception) contribute 59.4% to Y (purchasing decisions). The remaining 40.6% (100% - 59.4%) is explained by other variables not included in this study.