Jambi University

The development of Artificial Intelligence (AI) technology has enabled the creation of increasingly realistic digital memes and videos that are easily disseminated through social media. This presents new challenges in criminal law enforcement, particularly when the AI content contains violations such as defamation, identity manipulation, privacy violations, and disinformation. This study aims to answer two research questions: (1) how criminal law in Indonesia regulates the creation and distribution of AI-based video memes on social media; and (2) what form of criminal liability is imposed on creators of AI-based video memes that contain elements of legal violations. This study uses a normative legal research method, positioning law as a system of norms examined through literature review. The approaches used include a statutory regulatory approach, a case approach, a contextual approach, and a comparative approach. The legal sources consist of primary legal materials in the form of the Criminal Code, the New Criminal Code, the Electronic Information and Transactions Law, the 1945 Constitution, and other related regulations; secondary legal materials in the form of books, legal journals, and expert opinions; and tertiary legal materials such as legal dictionaries and encyclopedias. The research findings indicate that current Indonesian legal regulations do not specifically regulate the creation of AI-based memes or videos. Therefore, law enforcement still relies on general provisions such as Articles 27–36 of the Electronic Information and Transactions Law (ITE Law) and articles of the Criminal Code concerning defamation, insults, or the dissemination of unlawful content. Consequently, there are limitations in norms and disclosures in determining the elements of culpability and accountability of AI content creators. Therefore, this research emphasizes the need for reform of national criminal law, both through specific regulations regarding AI-based content and by strengthening the concept of criminal liability in the context of generative technology.

Usaha Mikro, Kecil, dan Menengah (UMKM) merupakan tulang punggung perekonomian Indonesia, termasuk di Kota Jambi yang didominasi sektor kuliner dan perdagangan. Namun, UMKM menghadapi tantangan berupa persaingan ketat, perubahan perilaku konsumen, serta keterbatasan teknologi dan manajemen. Orientasi kewirausahaan (entrepreneurial orientation/EO) diyakini sebagai salah satu faktor kunci peningkatan daya saing UMKM melalui dimensi inovasi, proaktivitas, dan pengambilan risiko. Penelitian ini bertujuan menguji pengaruh EO terhadap kinerja UMKM di Kota Jambi. Metode penelitian menggunakan pendekatan kuantitatif dengan analisis Partial Least Squares-Structural Equation Modeling (PLS-SEM). Responden penelitian adalah 155 pelaku UMKM yang dipilih dengan teknik purposive sampling. Hasil analisis menunjukkan bahwa EO berpengaruh positif signifikan terhadap kinerja UMKM (β=0,45; p=0,001). Temuan ini menegaskan bahwa semakin tinggi orientasi kewirausahaan, semakin baik kinerja UMKM dari sisi pertumbuhan penjualan, laba, dan kepuasan pelanggan. Penelitian ini memberikan kontribusi teoretis dengan memperkuat literatur EO di konteks UMKM daerah serta kontribusi praktis bagi pemerintah daerah dalam merancang program pengembangan UMKM berbasis kewirausahaan.

The increase in waste production, along with population growth, is filling landfills. Organic waste leachate formation. Leachate management is crucial because it can pollute soil, surface water, and groundwater. Waste is the solid remains of human activities and natural processes. Waste will be processed at the final processing site. Waste produces leachate due to decomposition and rainwater infiltration. Leachate testing requires laboratory analysis. Analysis can be done by measuring the physical and chemical parameters contained in leachate. Response Surface Methodology (RSM) is a statistical method for analysing data. This study determines the correlation between the main pollutant parameters, Temperature, pH, total suspended solids (TSS), and COD at the final treatment site. Data were collected from several sampling points over a period, and statistical analyses, including Pearson correlation and regression, were used to assess the relationship. The results showed a significant positive correlation with COD. The COD coefficient of determination (R-squared) of 66.74% was found to be quite high for all functional relationships, and mathematical models have been obtained. Contribution to Sustainable Development Goals (SDGs):SDG 6: Clean Water and SanitationSDG 11: Sustainable Cities and Communities

Indonesia is the ruler of areca nut exports in the world and 40% of Indonesia's total areca nut exports come from Jambi. The research was focus by Jambi’s strategic role in national areca nut production and exports, alongside persistent constraints in the upstream subsystem of agribusiness especially limited capital, production-cost variability, and uneven breeder capacity to consistently meet certification standards. A survey based descriptive quantitative approach was employed. Primary data were collected through structured interviews using questionnaires from three purposively selected certified breeders (from five existing units) who met the criteria of business ownership, a minimum of two years of operation, and active participation in certification. Secondary data were sourced from BPS and relevant provincial agencies. Analysis focused on fixed and variable cost components, total revenue, farm income (TR–TC), and feasibility using the Revenue–Cost (R/C) ratio. Results show that the average total production cost reached Rp 183,266,666/year, comprising seeding costs of Rp 71,889,427 and nursery costs of Rp 111,377,239. Average total revenue was Rp 692,156,067/year, generating an average income of Rp 508,889,401/year (= Rp 42,407,450/month). The mean R/C ratio was 3.5, indicating financial feasibility (R/C > 1). However, substantial income disparities among breeders suggest that scale, managerial capability, and cost control critically determine profitability. Strengthening cost efficiency, optimizing nursery land (including yard-based expansion), and improving compliance support for certification are recommended to enhance sustainability.

Desa Banjar Seminai, Kabupaten Siak, Riau, memiliki potensi besar dalam pengembangan UMKM berbasis lingkungan. Salah satu contohnya adalah pemanfaatan limbah kulit salak untuk produksi teh herbal. Kulit salak yang sebelumnya dianggap sebagai limbah dapat diolah menjadi produk yang bernilai ekonomi tinggi dan bermanfaat bagi kesehatan. Penelitian ini bertujuan untuk mengembangkan produk teh herbal dari kulit salak dan meningkatkan pendapatan masyarakat Desa Banjar Seminai. Metode penelitian yang digunakan adalah penelitian tindakan partisipatif, dengan melibatkan masyarakat lokal dalam proses pengembangan produk. Hasil penelitian menunjukkan bahwa kulit salak dapat diolah menjadi teh herbal yang memiliki khasiat sebagai antioksidan, anti-inflamasi, dan anti-bakteri. Proses pengolahan kulit salak menjadi teh herbal meliputi tahap pengumpulan, pembersihan, pengeringan, dan penggilingan. Produk teh herbal yang dihasilkan memiliki rasa yang enak dan aroma yang khas.Pemanfaatan limbah kulit salak untuk produksi teh herbal dapat meningkatkan pendapatan masyarakat Desa Banjar Seminai dan mengurangi dampak lingkungan yang disebabkan oleh limbah kulit salak. Selain itu, produk teh herbal yang dihasilkan juga dapat menjadi alternatif bagi masyarakat yang ingin mengonsumsi produk herbal yang alami dan sehat. Kata kunci: UMKM, lingkungan, kulit salak, teh herbal, Desa Banjar Seminai

The rise of digital communication platforms based on the internet has heightened the demand for service quality that aligns with user expectations. Discord, a Voice over Internet Protocol and Instant messaging application, is widely embraced by various communities; however, complaints regarding system stability, service responsiveness, and user support continue to arise. This study aims to evaluate user satisfaction with the Discord application using the Electronic Service Quality (E-SERVQUAL) method. Employing a descriptive quantitative approach, data was collected through an online questionnaire from 128 active Discord users in Indonesia, selected via purposive sampling. The research instrument was crafted based on the six dimensions of E-SERVQUAL: Efficiency, Reliability, Fulfillment, Privacy, Responsiveness, and Contact, comparing users’ expectations with their perceptions. The findings reveal that all dimensions of E-SERVQUAL exhibit negative gap values. The Total Electronic Service Quality score of -0.44 indicates that the overall service quality of Discord falls short of user expectations, with the Responsiveness dimension showing the most significant gap. The study concludes that enhancing service quality, particularly in Responsiveness and user support, is vital for improving user satisfaction.

Kegiatan pengabdian masyarakat ini bertujuan untuk menganalisis pemahaman, pengalaman, tantangan, dan kesiapan guru dalam mengembangkan perangkat pembelajaran sains yang berdaya saing global melalui lokakarya Hybrid Deep Learning dan STEM Project-Based Learning (STEM-PjBL). Menggunakan pendekatan deskriptif kualitatif dengan desain penelitian tindakan partisipatif, penelitian ini melibatkan 29 guru sains dari MGMP di Muaro Jambi, Indonesia. Data dikumpulkan melalui kuesioner dan observasi sebelum, selama, dan setelah lokakarya, dan dianalisis menggunakan model interaktif Miles dan Huberman. Temuan penelitian mengungkapkan bahwa guru umumnya memiliki pengetahuan terbatas tentang pembelajaran mendalam dan hybrid deep learning, pengalaman minimal dalam menerapkan STEM-PjBL, dan menghadapi tantangan signifikan seperti fasilitas terbatas, kompetensi pedagogis yang tidak memadai, dan kurangnya dukungan kelembagaan. Terlepas dari keterbatasan ini, sebagian besar guru menunjukkan kesiapan dan motivasi yang tinggi untuk mengintegrasikan teknologi berbasis AI dan pendekatan berbasis proyek ke dalam praktik mengajar mereka, dengan syarat mereka diberikan bimbingan intensif dan pengembangan profesional berkelanjutan. Kebaruan program ini terletak pada integrasi Pembelajaran Mendalam Hibrida dengan STEM-PjBL sebagai model untuk meningkatkan kapasitas guru dalam merancang perangkat pembelajaran sains inovatif berbasis teknologi. Implikasinya menyoroti pentingnya pelatihan profesional berkelanjutan, dukungan institusional, dan kemitraan kolaboratif untuk memastikan keberhasilan implementasi pedagogi berbasis AI dan berbasis proyek dalam pendidikan sains.

The disruptive era, characterized by the acceleration of digital technology innovation, has brought profound transformations to various aspects of life, including the loss of a number of traditional jobs, the widening of the digital divide, and the emergence of ethical challenges in the use of technology. This situation is a serious concern, especially among students in Sungai Duren Village, whose parents mostly work in the agriculture and fisheries sectors, resulting in limited capacity to guide their children in dealing with digital dynamics. The goal of this community service program is to strengthen students' digital literacy through workshops designed to equip them with the skills and knowledge to address the negative impacts of digitalization, such as exposure to hoaxes, gadget addiction, and decreased social interaction. The implementation method consisted of two stages: first, interactive delivery of material through lectures, discussions, and simulations; and second, the introduction and distribution of Digital Literacy Cards as visual aids containing reflective messages to encourage a balance between digital and real life. The results of the activity showed an increase in participants' awareness and skills in sorting information, managing gadget use, and fostering creativity based on non-digital activities. This program not only improved students' digital literacy but also provided them with practical strategies to face the challenges of the disruptive era in a more critical, creative, and responsible manner.

Jakarta’s Virtual Linguistic Landscape (VLL) offers a unique lens for examining the intersection of politics, economics, and identity in a multilingual, globalized urban setting. While most linguistic landscape studies focus on physical spaces, this research maps Jakarta’s VLL by analyzing language use in street, store, and restaurant names across five culturally and economically distinct districts: Glodok, Tanah Abang, Menteng, Thamrin-Sudirman, and Condet & Cipayung. Using virtual ethnography, data were collected from Google Maps, business directories, and online images, then analyzed through Thematic Analysis and Critical Discourse Analysis. Findings show that Bahasa Indonesia dominates official toponymy due to state policy, while commercial actors strategically deploy English for global prestige, Mandarin and Arabic for ethnocultural identity, and Betawi dialect for local preservation. District-level variations reveal how language functions as both a political instrument and an economic commodity. The study concludes that Jakarta’s VLL reflects broader socio-political power structures, market-driven language commodification, and community identity negotiation, underscoring the need for inclusive language policies and further exploration of digital linguistic landscapes in Southeast Asia.