This community service activity was carried out in Sladi Village with the goal of improving the digital literacy of village officials through the utilization of Artificial Intelligence (AI) plugins in Microsoft Word and Excel. The main issue faced by the village officials was their limited ability to use digital technology, which resulted in administrative tasks being carried out manually and inefficiently. Therefore, this digital literacy training aimed to enhance the skills of village officials in utilizing digital tools, especially AI, to support their administrative work. The method used in this activity was Participatory Action Research (PAR), which involved the stages of diagnosing, action planning, action taking, evaluating, and specifying learning. Evaluation of the activity was conducted using Likert scale questionnaires and open-ended questions to collect feedback from participants regarding their understanding and responses to the training provided. Data analysis was carried out using SPSS to calculate the mean, standard deviation, and qualitative findings from the open-ended questions. The evaluation results showed that the benefits of the activity (mean = 4.2) and the intention to implement AI (mean = 4.2) received the highest scores, indicating that the participants found the training highly beneficial and were motivated to apply AI in their daily tasks. On the other hand, the understanding of AI in Excel (mean = 3.7) and the assessment of the material (mean = 3.7) showed that further in-depth learning was needed to improve participants' comprehension and skills. Overall, the activity successfully improved the skills of village officials and raised collective awareness to transition towards a more efficient and adaptive digital village administration. This training is expected to positively contribute to the digital transformation in the village.
This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.
This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.
The development of digital technology provides significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to improve the quality of their product promotions. However, most MSMEs fostered by Sharia cooperatives still face obstacles in utilizing the latest technology, particularly artificial intelligence (AI), as an effective and efficient promotional tool. Given this situation, this community service activity was carried out with the aim of increasing the capacity of MSME members in utilizing AI technology to create more attractive product promotional content that aligns with digital marketing trends. The activity took place at Kedai Fatiya Sukodono in July 2025, coinciding with the BMT Insan Mandiri Sukodono Branch member gathering. The methods used included counseling on the importance of AI-based digital marketing, technical training on using AI applications for content design, and hands-on practice in creating promotional materials by participants. A total of 40 MSMEs from various sectors, such as culinary, fashion, and services, participated in this activity. The results showed an increase in participants' knowledge and skills in creating more creative, professional, and cost-effective promotional content. In addition, participants also gained a better understanding of digital-based promotional strategies that can increase market reach. Thus, this community service activity provides a real contribution to strengthening the competitiveness of MSMEs in the era of digital transformation, while also supporting the role of sharia cooperatives as partners in empowering the people's economy
Afrianto, A., Parjito, P., Rahma, E. A., & ... (2023). Rintisan desa cerdas: Penguatan literasi digital bagi Karang Taruna Neba. Prosiding Seminar.... https://e-journal.unmas.ac.id/index.php/senadiba/article/view/8417
Akbarinasasi, A., & Panduwinata, L. F. (2023). Pengaruh pengetahuan kewirausahaan, social skill, dan peluang usaha terhadap keberhasilan usaha angkringan. Nomicpedia: Journal of .... https://journal.inspirasi.or.id/nomicpedia/article/view/232
Anisti, A., Sidara, S., Veranus, V., & Imran, M. S. (2024). Tantangan literasi digital generasi Z: Kajian systematic literature review. Media Bahasa, Sastra, dan Budaya Bahana, 30(2), 152–161. https://doi.org/10.33751/wahana.v30i2.11870
Aribawa, D. (2016). Pengaruh literasi keuangan terhadap kinerja dan keberlangsungan UMKM di Jawa Tengah. Jurnal Siasat Bisnis, 20(1), 1–13. https://doi.org/10.20885/jsb.vol20.iss1.art1
Erstiawan, M. (2021a). Good corporate governance penyelenggara pendidikan dalam perspektif agency theory. Majalah Ekonomi, 26(1), 40–51. https://doi.org/10.36456/majeko.vol26.no1.a3952
Erstiawan, M. (2021b). Kepatuhan emiten dalam taksonomi extensible business reporting (XBRL). CAPITAL: Jurnal Ekonomi dan Manajemen, 5(1), 71–85. https://doi.org/10.25273/capital.v5i1.10308
Erstiawan, M. S. (2024). Menggali potensi diri bisnis santripreneur berbasis bimbingan teknis. ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat, 2(4), 11–18. https://doi.org/10.61434/adima.v2i4.238
Erstiawan, M. S., & Y. R. (2022). Implikasi corporate social responsibility dalam perspektif akuntansi pada subsektor telekomunikasi. Jurnal Sosial Sains, 2(2), 385–396. https://doi.org/10.36418/sosains.v2i2.343
Erstiawan, M. S., et al. (2021). Efektivitas strategi pemasaran dan manajemen keuangan pada UMKM roti. Dikemas, 5(1), 57–61. https://doi.org/10.32486/jd.v5i1.574
Hodsay, Z. (2021). Pengaruh manajemen keuangan keluarga dan hasil belajar kewirausahaan pada era pandemi Covid-19 terhadap motivasi berwirausaha. Jurnal Neraca: Jurnal Pendidikan dan Ilmu Ekonomi Akuntansi, 5(1), 91–103. https://doi.org/10.31851/neraca.v5i1.5890
Kartini, T. M., Suhendra, S., Tan, E., & ... (2024). Pelatihan pengelolaan SDM di era digital pada Karang Taruna dan usaha kecil di Provinsi Jawa Barat. SABAJAYA Jurnal .... https://journal.sabajayapublisher.com/index.php/jpkm/article/view/346
Mendari, A. S., & F. S. (2019). Hubungan tingkat literasi dan perencanaan keuangan. Jurnal Moduk, 31(2), 227–240.
Naufal, H. A. (2021). Literasi digital. Perspektif, 1(2), 195–202. https://doi.org/10.53947/perspekt.v1i2.32
Nurcahyawati, V., Wulandari, S. H. E., & Sutomo, E. (2020). Penerapan urun daya berbasis internet untuk pemenuhan bahan baku pada usaha kecil menengah (UKM) batik Sidoarjo dan UKM Mekar Sari Surabaya. Jurnal Pengabdian Kepada Masyarakat, 26(2), 84. https://doi.org/10.24114/jpkm.v26i2.16829
Oetama, S. (2022). Orientasi kewirausahaan terhadap keunggulan dalam bersaing. Google Books. https://books.google.com/books?hl=en&lr=&id=L1h-EAAAQBAJ
Poerna Wardhanie, A., Naufal, A. Z., & Eko Wulandari, S. H. (2021). Perancangan strategi digital marketing dengan metode RACE pada layanan online food delivery berdasarkan perilaku pelanggan generasi Z. Journal of Technology and Informatics (JoTI), 3(1), 1–11. https://doi.org/10.37802/joti.v3i1.187
Rahmawati, E., Wardhanie, A. P., Wulandari, S. H. E., & Effendi, P. M. (2023). Pelatihan perancangan prototype aplikasi pemasaran untuk mendukung keikutsertaan Gen Z pada festival inovasi dan kewirausahaan siswa Indonesia (FIKSI). Jurnal Abdi Insani, 10(2), 1002–1011. https://doi.org/10.29303/abdiinsani.v10i2.939
Rinaldi, M., & Ramadhani, M. A. (2024). Peningkatan literasi perpajakan dalam kalangan UMKM: Langkah menuju kemandirian finansial. Eastasouth Journal of Effective Community Services, 2(03), 158–169. https://doi.org/10.58812/ejecs.v2i03.240
Sagirani, T., Effendi, P. M., Erstiawan, M. S., Eko Wulandari, S. H., & Rahmawati, E. (2025). AI untuk siswa: Pendekatan experimental learning dalam pengenalan artificial intelligence di tingkat SMA. Jurnal Pengabdian Masyarakat (ABDIRA), 5(3), 1014–1025. https://doi.org/10.31004/abdira.v5i3.846
Sagirani, T., Nugroho, L. E., Santosa, P. I., & Kumara, A. (2015). User experience model in the interaction between children with special educational needs and learning media. 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 72–75. https://doi.org/10.1109/ICITACEE.2015.7437773
Septiani, R. N., & W. E. (2020). Pengaruh literasi keuangan dan inklusi keuangan terhadap kinerja UMKM di Sidoarjo (Doctoral dissertation, Udayana University). https://doi.org/10.24843/EJMUNUD.2020.v09.i08.p16
Slamet, S., & Sagirani, T. (2024). Peningkatan kesiapan kerja siswa SMK melalui pengembangan soft skills di SMKN 1 Sambeng Lamongan. Tekmulogi: Jurnal Pengabdian Masyarakat, 4(2), 79–90.
Soebijono, T., & E. M. (2020). Peranan revolusi industri 4.0 terhadap mutu pendidikan sekolah menengah kejuruan jurusan akuntansi. Jurnal Bisnis Perspektif, 12(2), 115–122. https://doi.org/10.37477/bip.v12i2.97
Wardhanie, A. P., Kartikasari, P., & Wulandari, S. H. E. (2019). Analisis penggunaan media internet pada usaha mikro kecil menengah (UMKM) Jawa Timur untuk menembus pasar global dengan metode O2O. Jurnal Bisnis Terapan, 3(02), 179–188. https://doi.org/10.24123/jbt.v3i02.2513
Wulandari, S., & Rahmah, M. (2020). A survey on crowdsourcing awareness in Indonesia micro small medium enterprises. IOP Conference Series: Materials Science and Engineering, 769, 012016. https://doi.org/10.1088/1757-899X/769/1/012016
Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.
In today's digital era, the need for fast, accurate, and responsive information systems is increasingly pressing, especially in the higher education sector where prospective students often face obstacles in directly obtaining relevant and reliable academic information. To address this challenge, this research focuses on the design and development of an academic service chatbot by implementing the Retrieval-Augmented Generation (RAG) method at Catur Insan Cendekia University. The RAG approach combines information retrieval capabilities from various documents (retrieval) with the generative intelligence of language models, thus being able to produce contextual, personalized, and data-driven answers. The chatbot system was developed using Python, LangChain, FAISS, and the GPT model as the core of natural language processing. Performance evaluation was conducted using the ROUGE metric, which showed quite good results with a ROUGE-1 value of 0.50 and a ROUGE-L of 0.48. These findings prove that the system is capable of providing relevant and high-quality responses in helping answer prospective students' academic questions. With these advantages, this chatbot is expected to be an innovative solution to improve the quality of academic information services at UCIC, as it can present data quickly, accurately, interactively, and automatically. Furthermore, the implementation of this artificial intelligence-based technology aligns with digital transformation efforts in higher education, supporting the efficiency of academic services and strengthening the institution's image as a modern campus that adapts to developments in information technology.
Chat Generative Pretrained Transformer (ChatGPT) has rapidly gained popularity and is increasingly utilized across various fields, including education, where it plays a significant role as a supporting tool for academic tasks. In the educational context, ChatGPT can assist students in preparing and completing a wide range of assignments, providing quick access to structured information and alternative perspectives. This study was designed to explore the views of both students and lecturers on the integration of ChatGPT in academic activities, specifically as a support system for handling student assignments. Employing a descriptive qualitative approach, data were collected through interviews with 5 students and 6 lecturers from the Business Education Study Program at the State University of Surabaya. The findings reveal contrasting yet complementary perspectives. From the students’ point of view, ChatGPT offers considerable benefits, particularly in enhancing independence, efficiency, and time management when working on lecture assignments. However, these advantages are accompanied by drawbacks, such as decreased creativity, reduced critical thinking, and diminished interest in consulting traditional learning resources like books. On the other hand, lecturers acknowledge the usefulness of ChatGPT in simplifying student work and accelerating the completion of assignments but express concerns regarding the overreliance on artificial intelligence, which could potentially hinder the development of essential academic skills. Overall, the research suggests that while ChatGPT presents valuable opportunities to enhance learning processes, it must be applied thoughtfully, with careful guidance from educators to balance efficiency with the cultivation of creativity, critical thinking, and academic integrity.
Artificial Intelligence (AI) has significantly transformed the design industry by introducing innovative tools that enhance efficiency, creativity, and personalization in the design process. This article explores the impact of AI technologies on the practice of modern designers, from the early stages of idea generation to the final execution of projects. By analyzing case studies, conducting surveys, and reviewing recent literature, the study reveals that AI functions not only as a tool but also as a collaborator that expands the boundaries of human creativity. It allows designers to explore new possibilities and push the limits of traditional design processes. However, the integration of AI into design practices also raises important ethical and professional challenges, such as concerns about job displacement, data privacy, and the potential loss of human touch in the creative process. Despite these concerns, the findings highlight that embracing AI is crucial for designers to remain competitive and sustain their careers in the rapidly evolving digital era. Adapting to AI technologies, understanding their capabilities, and effectively incorporating them into creative workflows will enable designers to stay relevant and thrive in a landscape where technology continues to reshape the industry. This study provides insights into the evolving relationship between human designers and AI, offering recommendations for future research and practice in the field of design.
This study investigates the effectiveness of virtual debate platforms in enhancing English as a Second Language (ESL) learners’ critical thinking, speaking fluency, and argumentation skills. The research was conducted using a quasi-experimental design with intermediate-level ESL students as participants. Data were collected through critical thinking tests, speaking fluency rubrics, and argumentation rubrics, complemented by qualitative analysis of recorded debates. The results indicate significant improvements in students’ critical thinking abilities, fluency in spoken English, and the quality of their arguments, including structure, relevance of evidence, and coherence. Furthermore, virtual debates fostered higher levels of student engagement compared to traditional classroom discussions. These findings underscore the pedagogical potential of integrating technology-based debate activities into ESL instruction, providing interactive and collaborative learning opportunities that address the limitations of conventional teaching methods. The study concludes with recommendations for incorporating virtual debates into ESL curricula and suggests future research on the use of emerging technologies such as artificial intelligence (AI) and virtual reality (VR) to further enhance language learning experiences.
Limited knowledge and utilization of digital technology in the fisheries and plantation sectors remains a major obstacle for the people of Samo Village, South Halmahera Regency, the majority of whom work as fishermen and farmers. This results in low productivity, limited access to information, and less than optimal development of micro-enterprises based on local potential. This community service activity aims to introduce and train the use of Fishbrain, Plantix, and ChatGPT applications relevant to local community needs. The activity implementation method includes three main stages: the preparation phase, which involves coordination with village officials and the development of training materials; the implementation phase, which involves socialization and hands-on training; and the evaluation phase, which involves discussions, reflections, and Q&A sessions with participants. The results of the activity demonstrated a significant increase in participants' understanding and skills in utilizing digital technology. The Fishbrain application has been proven to assist fishermen in determining more potential fishing locations based on global community data, while Plantix is useful in detecting plant diseases, providing treatment recommendations, and increasing crop yields. Meanwhile, ChatGPT is used by the community as a virtual assistant to support information searches, innovation ideas, product marketing strategies, and digital-based small business planning. The participants' enthusiasm was evident in their active involvement throughout the training, their eagerness to try the applications independently, and their ability to repeat the three applications' core functions. In conclusion, this training activity not only broadened the community's digital knowledge and skills but also encouraged a shift in mindset toward utilizing technology as a means to improve well-being. With the knowledge gained, the Samo Village community is expected to be more adaptive to technological developments, enabling the sustainable development of the fisheries, plantations, and local micro-enterprises sectors.
This article examines the economic defense reforms implemented by China under Xi Jinping's leadership through a literature review. This research aims to examine the key strategies employed by the Chinese government to strengthen its economic resilience amidst global pressures, such as the trade war with the United States, the COVID-19 pandemic, and escalating geopolitical rivalries. The findings indicate that Xi Jinping prioritizes a dual-circulation strategy, namely strengthening domestic consumption while maintaining connectivity with international markets, as a crucial step in addressing global uncertainty. Furthermore, the Made in China 2025 policy serves as a key pillar for promoting technological independence, reducing dependence on imports, and enhancing the competitiveness of domestic industries in strategic sectors such as information technology, renewable energy, and artificial intelligence. Furthermore, through the Belt and Road Initiative (BRI), China seeks to expand its economic influence globally, open new markets, and transfer excess domestic industrial capacity to partner countries. These reforms are not solely oriented toward economic aspects but are also closely linked to political and national security interests. This strategy demonstrates China's systematic efforts to build economic resilience integrated with geopolitical interests, using the economy as an instrument of both soft and hard power. This study demonstrates that Xi Jinping's economic defense reforms are not merely a short-term response to the global crisis, but rather part of a long-term vision to establish China as a dominant global power. Thus, this study emphasizes the importance of understanding China's economic strategy holistically, as these reforms, in addition to significantly influencing domestic dynamics, also have significant implications for the future global economic and political order.
Dr. Soedirman Kebumen Regional General Hospital has implemented PACS to replace traditional film, but limitations in IT infrastructure, RME integration, and human resource readiness require an integrated implementation model that combines cloud-hybrid, DICOM/HL7 with SSO, continuous training, and managerial support. To evaluate the implementation of the PACS system in the Radiology Department of Dr. Soedirman General Hospital in Kebumen and to analyze the factors that support and hinder the effectiveness of the PACS system in improving the quality of radiology services. The research used a qualitative approach with an interactive model. Data collection was conducted through in-depth interviews, Focus Group Discussions (FGD), direct observation, and documentation. The data obtained were analyzed using ATLAS.ti software to explain the PACS implementation and its impact on the effectiveness of radiology services. The PACS implementation improved the quality of radiology services by accelerating access to medical images and enhancing workflow efficiency. Some challenges, such as system downtime, integration with other systems, and technical limitations, need to be addressed. Integration of artificial intelligence (AI) and telemedicine technologies needs to be enhanced to achieve optimal radiology services. Factors supporting successful implementation include the adoption of advanced technologies (cloud computing and AI), adequate infrastructure, technical support from the IT team, and strong managerial commitment. Barriers to success include imperfect system integration, power outages, downtime, storage capacity limitations, and a shortage of trained human resources. Proposed implementation models include improving PACS system infrastructure, developing ongoing training for staff, improving PACS system integration with other hospital systems, and improving interdepartmental communication to streamline workflows and reduce obstacles in the diagnostic process.
The digital competency gap between vocational school graduates and the rapidly evolving demands of modern industry has become a pressing issue in today’s workforce. One of the main challenges lies in the limited digital literacy and insufficient practical skills of students, particularly in applying Artificial Intelligence (AI) tools to support productivity and creativity. This situation hinders the readiness of graduates to compete in an AI-driven labor market, where innovation and technological adaptability are essential. To address this challenge, a training program was designed for vocational high school students at Darma Siswa Sidoarjo with the primary objective of enhancing both their conceptual understanding and practical competencies in the utilization of AI technologies. The program adopted the Participatory Action Research (PAR) method, emphasizing collaboration and active engagement between trainers and students. It was conducted through a series of interactive workshops that combined theoretical introductions with hands-on practice. Students were guided to explore AI-based platforms such as Ideogram for visual creativity, PixVerse for multimedia production, and Suno for AI-generated music. To evaluate the effectiveness of the program, pre-test and post-test instruments were used, focusing on the dimensions of knowledge, technical skills, and student confidence in using AI tools. The findings revealed that students initially demonstrated minimal awareness and limited practical ability in AI applications, as reflected in the pre-test results. However, post-test data showed a significant improvement not only in their technical proficiency but also in their enthusiasm to further explore AI technologies. Moreover, students gained increased confidence in producing creative outputs, transforming their role from passive consumers of digital tools into active and competent content creators. In conclusion, this participatory and practice-oriented training model effectively bridges the digital competency gap, enhances students’ job readiness, and fosters an innovative mindset.
This study aims to explore how users' perceptions of the chatbot on the Shopee platform influence user satisfaction and loyalty. The research employs a qualitative approach with in-depth interviews to gather users' experiences and views on their interactions with the chatbot. The findings reveal that three key factors—clarity of responses, ease of access, and relevance of information—are crucial in determining user satisfaction. Users who found the chatbot's responses clear and easily understood, along with quick access, were generally more satisfied with the service provided. However, despite achieving user satisfaction, loyalty to the platform has not been fully established. This is due to the chatbot's limitations in building emotional connections with users and its inability to handle more complex issues. While the chatbot is effective in providing automated solutions for simple problems, it lacks the empathy and personalized attention necessary when users encounter more intricate issues or require a deeper level of interaction. These findings highlight that although chatbots can enhance the efficiency of basic customer service, they cannot fully replace human interaction, particularly in customer service contexts that require emotional engagement and a deeper understanding of the user's needs. To foster stronger user loyalty, a combined approach involving both technology and human interaction is essential. The chatbot can address routine issues, while more complex matters should be referred to customer service representatives who can offer empathetic and tailored solutions. The recommendation from this study is for Shopee platform developers and sellers to strategically optimize chatbot use while maintaining human interaction that is adaptable, in order to enhance user satisfaction and loyalty.
The increasing number of mental health disorders in various countries has created an urgent need for innovation in the diagnosis and treatment process. This problem not only impacts individuals' quality of life but also creates a significant social and economic burden. One solution that is beginning to be widely researched is the use of artificial intelligence (AI) in the field of mental health. This research used a literature review of various previous studies discussing the role, application, and impact of AI. The results of the review indicate that AI technology, particularly in the form of digital applications such as chatbots, has great potential to support the recovery process for patients with mental disorders. AI-based chatbots can provide responsive, two-way interactions, so users feel heard and receive initial emotional support. One technical approach used is Natural Language Processing (NLP), which enables the system to understand natural human language. Simultaneously, Long Short-Term Memory (LSTM) algorithms are used to analyze language patterns and detect symptoms of depression more accurately. Various studies have reported that the application of NLP and LSTM can improve the reliability of diagnoses and provide responses tailored to user needs. Furthermore, AI can provide personalized recommendations, tailor interventions to the user's condition, and monitor mental health developments in real time. This has the potential to assist mental health practitioners in making faster and more informed decisions. However, the adoption of AI among practitioners remains relatively low. Influencing factors include limited technological understanding, limited infrastructure, and debates over ethical aspects and data privacy. Therefore, while AI has significant potential to improve the quality of mental health services, regulations, ethical guidelines, and synergy between technology and healthcare professionals are needed to ensure safe and effective implementation.
This paper explores the transformative influence of artificial intelligence (AI) on the accounting profession, particularly within the Accountant General of the Federation (OAGF). The research investigates how AI-driven innovations are reshaping traditional accounting practices and redefining the role of accountants. By conducting a systematic literature review, this study identifies three primary dimensions of AI’s impact: the automation of repetitive tasks such as data entry, transaction processing, and reconciliation; enhanced data analytics capabilities, which include predictive modeling and real-time decision support; and the evolution of accountants' roles toward more strategic and value-added activities, such as financial advisory and risk management. The automation of routine processes through AI allows accountants to focus on higher-level tasks that require judgment, creativity, and expertise, ultimately enhancing the overall efficiency of the accounting function. Furthermore, AI’s advanced data analytics tools provide more accurate insights, enabling accountants to offer more effective financial guidance and make more informed decisions. As AI reduces the time spent on manual processes, accounting professionals can improve their role in advising on business strategy, improving risk management, and identifying new growth opportunities. The study’s findings underscore the importance of embracing AI in the accounting profession, not only to improve operational efficiency, reduce costs, and scale operations but also to enable accountants to stay competitive in a rapidly evolving technological landscape. The paper concludes by emphasizing that adopting AI is essential for accountants to remain relevant and continue providing valuable contributions to their organizations. Future research should focus on the long-term implications of AI on accounting ethics and the development of necessary skills for accounting professionals to thrive in the age of AI.
This study aims to deeply examine the role and impact of AI implementation in the B2B sales process, including implementation challenges. The method used is a qualitative approach with descriptive studies, through a literature review of scientific journals, industry reports, and relevant previous studies. The analysis results show that the application of AI in B2B sales not only improves the accuracy of marketing strategies and lead conversion, but also strengthens the concept of value co-creation through collaboration between salespeople and AI systems. Technologies such as machine learning, predictive analytics, and NLP-based chatbots have been proven to accelerate sales cycles, expand service reach, and increase productivity by up to 30%. However, implementation challenges remain, including limited digital infrastructure, a lack of competent human resources, and organizational resistance to technological transformation. Therefore, optimal AI integration requires institutional readiness, adaptive strategies, and continuous investment in technology and human resource development. These findings provide theoretical and practical contributions to the development of AI-based B2B sales strategies, particularly in the context of the digital industry in Indonesia. Furthermore, the application of AI in B2B sales also opens up new opportunities for service personalization. With the support of real-time data analysis, companies can better understand the specific preferences and needs of their business partners. This enables the development of more targeted communication strategies and the enhancement of long-term relationships with business customers. AI also plays a role in reducing human error through automated systems that can validate data, provide predictive recommendations, and support faster and more accurate strategic decision-making. Furthermore, the adoption of AI in B2B requires clear regulations and governance, particularly regarding ethical data use and information security. Companies must be able to balance the use of technology to increase efficiency with the protection of privacy and consumer rights.
The village economy supported by MSMEs is very important for the progress of a village, especially in the islands, but limited access provides minimal opportunities for MSMEs to develop. Kumbung Village, located in South Bangka Regency, is one of the villages that has the above problems, therefore in increasing the competence of MSMEs, it is necessary to socialise the potential and use of digital technology, especially the use of intelligence that is relatively easy and inexpensive to use. Community service activities are carried out at the Kumbung Village Office with the target of village officials and the community, especially technology-savvy teenagers. The community service programme focused on the use of artificial intelligence in designing strategies to improve the quality of MSMEs and explore the potential of the village that can support the economy of residents. In the service programme, the practice of using Gemini.Ai was carried out to find the potential of MSMEs, making logos as product branding, and marketing strategies. The results obtained were the addition of skills of socialisation participants related to the use of Gemini.Ai in providing ideas and strategies as well as branding village MSME products with positive results and participants understood the advantages and disadvantages in the Gemini.Ai application in providing assistance for the marketing process of MSME products.
This study focuses on the development of an intelligent enemy behavior system in the 2D maze game Dungeon Escape by combining the A* algorithm for pathfinding and a Behavior Tree (BT) structure for decision-making. The main objective is to enhance Non-Playable Character (NPC) intelligence, enabling more adaptive and realistic interactions with players. The A* algorithm is implemented to allow NPCs to pursue players through the shortest and most efficient paths while avoiding obstacles on a grid-based map. Meanwhile, the Behavior Tree framework is designed to manage NPC actions based on dynamic conditions, such as attacking when in close proximity, chasing players within a certain detection radius, and retreating to the original guard position when the player leaves the active zone. The research methodology involves a comprehensive literature review, system design, and implementation using the Unity game engine. Testing procedures consist of both white-box and black-box approaches to evaluate the correctness, functionality, and efficiency of the system. The results indicate that all major game features—including player navigation, combat mechanics, key collection, enemy pathfinding, and user interface interactions—operate smoothly as expected. Furthermore, NPCs exhibit adaptive behavior by dynamically switching between patrolling, chasing, and attacking modes depending on the player’s location and proximity. Performance testing shows that the integrated A* and BT system runs efficiently without significant delays or instability, even in higher-level stages with more complex layouts. The final game prototype includes seven progressively challenging levels, offering players an engaging and dynamic gameplay experience. This study demonstrates that the combination of pathfinding and decision-making algorithms provides an effective solution for designing intelligent NPCs, improving both realism and entertainment value in 2D games. The findings are expected to serve as a useful reference for future research and development in AI-based game design, particularly in the context of Unity game projects.