Currently, the traditional market is increasingly being supplanted by numerous online markets. The fierce competition in the online market necessitates excellent service from sellers to buyers. As a result, many online stores now offer round-the-clock service, which can be financially burdensome if handled manually. Chatbots offer a promising solution by automating the online shopping process, thereby reducing costs and enhancing customer service. To address the need for accurate and prompt responses, this study proposes an intelligent chatbot system built on Artificial Intelligence (AI), specifically tailored to function as an e-commerce assistant. Integrated seamlessly into the Telegram application, the chatbot efficiently processes user input questions through three essential stages: parsing, pattern matching, and data crawling, all powered by AI technology. Within the AI process, user requests are systematically categorized into three primary domains: general questions, calculations, and stock checks. Notably, the calculation category encapsulates both order and payment processes. The effectiveness of the proposed method is substantiated by the results of 200 trials, demonstrating its adeptness in accurately addressing all user inquiries.

Early detection of heart disease is crucial given the high number of cases occurringin advanced stages and affecting individuals in their productive years. Utilizing data mining, the C4.5 Algorithm is one method capable of detecting the onset of heart disease, prompting timely awareness and early prevention. The dataset employed is the Heart Disease Cleveland UCI from Kaggle, featuring 13 input attributes and 1 target attribute. Using the Decision Tree method results in decision-making by constructing a decision tree. The test outcomes revealed an accuracy rate of 77.11% with the C4.5 algorithm, 83.69% with the C4.5 algorithm employing Forward Selection, and 84.73% with the C4.5 algorithm based on Forward Selection and Particle Swarm Optimization.

Vehicle detection is the artificial intelligence that can help us in transportation highway systems like counter vehicles passing through the road on Eid Mubarak day etc. The object in this case is divided into six classifications there are car, motorbike, van, truck, and three-wheel. On the dataset vehicle is mostly an image of a car that we get from Kaggle. To solve vehicle detection problems such as poor vehicle detection and reduced detection accuracy, we provide a new vehicle detection with a dataset at kaggle. The clustering process consists of steps in which input images are transformed into morphometrics. The next step is to classify the image data using the K-Means algorithm. The images grouped by this detection are vehicles. The first step is to determine the randomly drawn mean or center point of two image data values ??in the database. If there is no data transfer, the group is considered stable and group creation is completed. Seven vehicle image data are used to test this application. And the result of our experiment on vehicle detection is about 85.7 % accurate

The distribution of the white swift (Collocalia fuciphaga) is on several large islands in Indonesia. The white swallow has an advantage over the nests of the black swallow and sriti, having edible parts reaching 85-100% of the total nest. Many types of white swallow's nests in Indonesia are known for their different physical characteristics, color and weight. It is not known that these differences occur due to genetic differences or simply due to differences in the type of food and living environment. Differences due to food and environmental factors do not really affect the health function of the nest. Differences due to genetics greatly influence the function of the nest for health. The design of this system is initial research to start mapping white nest swiftlets in Indonesia. The results of the design will be used as a data storage system for genetic mapping of white nest swallows on the island of Java by taking DNA samples of swallows from various habitat areas. The system will store data on habitat areas, record location points and take bird samples from these areas to then carry out laboratory tests to determine the DNA code test of each bird sample. Furthermore, it is hoped that clear genetic mapping results can be used to determine the quality and function of the bioactive components of white swift nests on the island of Java. The mapping results will also be a source of knowledge about the richness of the germplasm of native Indonesian swiftlets.
Keywords: GIS, Bioactive, genetic, Java, mapping, white swallow's nest

The online game industry is increasingly widespread and diverse in its practices to attract users, one of which is the use of the gacha system. This article discusses the gacha system in online games and its potential impact on children. Gacha, which involves paying for random in-game items, is often compared to gambling due to its elements of chance and the potential for profit. The system triggers dopamine release, making players feel pleasure, but children are particularly vulnerable to its mechanics. The article highlights the lack of juridical protection in Indonesia against online games that use gacha systems. While the Child Protection Law prohibits the economic exploitation of children, there are no specific regulations addressing gacha systems in online games. The authors identify the potential economic exploitation of children through gacha as a significant problem. They suggest two solutions: promoting traditional games with character-building content for children, and providing education on character development when introducing these games. From a legal perspective, the article calls for concrete protection measures for children playing online games with gacha systems. The research uses a normative juridical approach, employing library research based on literature.

Indonesia, as a legal state under Article 1(3) of the 1945 Constitution, aspires to achieve sovereignty, justice, and prosperity. Food sovereignty is essential to realizing these constitutional ideals. Law Number 41 of 2009 on the Protection of Sustainable Food Agricultural Land (PLP2B) serves as a key legislative framework to safeguard agricultural land. However, its implementation faces significant challenges, including weak enforcement mechanisms, limited coordination among stakeholders, and insufficient public awareness. These obstacles hinder efforts to prevent land conversion and ensure sustainable food security. This research addresses the urgency of fulfilling the constitutional mandate outlined in the second and fourth paragraphs of the Constitution’s Preamble, emphasizing sustainable development and societal welfare. Through a normative juridical approach, this study analyzes the legal policy for protecting agricultural land from constitutional and criminal law perspectives, offering a novel critique of the existing framework. Findings indicate gaps in regulatory synchronization, the absence of effective criminal sanctions to deter violations, and weak institutional coordination. To address these issues, the study recommends strengthening legal provisions, imposing stricter sanctions for land conversion, and improving inter-agency collaboration to ensure effective land protection. This research contributes to the development of legal science by offering practical recommendations for enhancing sustainable land protection policies. It provides valuable insights for policymakers, legal practitioners, and law enforcement agencies, supporting efforts to achieve food sovereignty and improve community welfare in Indonesia.

The socioeconomic circumstances of a community can be positively impacted by the presence of tourism. The primary goal of advancing the tourism sector in the Borobudur Sub District area is now the growth of Super Priority Temple Tourism. More research is still necessary to fully comprehend the development's socioeconomic effects on the neighborhood. Analyzing the social and economic effects of the Borobudur Temple's high-priority tourism growth on the Borobudur Subdistrict community is the aim of this study. Qualitative research methodologies are used in this study. The Borobudur Sub District is the site of the study. The community, the secretary of the Borobudur Sub-District Head, and the tourism manager of the Borobudur Temple serve as the research's informants. Techniques for gathering data include documentation, interviews, and observation. The Modernization theory of Walt Whitman Rostow was the theory employed in this study. The study's findings demonstrate the favorable social effects of Borobudur Temple's top priority tourism growth, specifically higher levels of education and established collaboration. The economic impact on the community, on the other hand, is a rise in income as a result of more job openings, a wider range of employment options, and the emergence of new business ideas from the community. It is suggested that the expansion of Borobudur Temple as a top tourist destination necessitates coordination with other nearby tourist attractions, such as designing tour packages that simultaneously benefit all of the communities in the Borobudur Sub District. Additionally, the community should make the most of its current opportunities.

The implementation of AI in the criminal justice system can enhance efficiency, transparency, and fairness in legal decision-making by efficiently managing information and providing legal considerations based on objective data. In Indonesia, although the Supreme Court has initiated technology-based innovations such as e-Court and Smart Majelis and is considering the concept of AI Judges, technical, legal, and ethical challenges must still be carefully addressed. The application of AI must take into account the specific aspects of Indonesia's legal system, ensure algorithmic transparency, and protect human rights. This research employs a doctrinal (normative) legal approach, utilizing legal materials including primary, secondary, and tertiary sources. The approaches used are the conceptual approach, comparative approach, and futuristic approach. The nature of the research is descriptive-prescriptive, and the data analysis method employed is content analysis. The results of the research indicate that the application of AI in Indonesia’s judiciary has significant potential to improve efficiency and justice, but must be done cautiously and wisely. AI should be used as a supportive tool for human judges, rather than fully replacing them. The concept of AI Judges, where AI plays a role in legal decision-making, must be accompanied by regulations that ensure transparency, accountability, and the protection of human rights. With a careful and ethical approach, AI can be a significant innovation in the judicial system, helping to achieve faster, simpler, and more efficient justice in line with the fundamental legal principles of Indonesia and the values of Pancasila.

Penelitian ini bertujuan untuk menganalisis Pengaruh In House Training dan Knowledge Sharing terhadap kompetensi profesional. Menganalisis Pengaruh In House Training, Knowledge Sharing dan kompetensi profesional terhadap kinerja karyawan. Jenis penelitian ini Explanatory Research dengan pendekatan kuantitatif. Metode penelitian yang digunakan metode survey dengan instrumen kuesioner sebanyak 65 orang karyawan tetap dan aktif di PT Finansia Multi Finance Kudus. Sumber data primer. Teknik pengambilan sampelnya dengan metode sensus. Alat analisis yang digunakan regresi linier berganda dan uji intervening. Hasil penelitian ini adalah; in house traning dan knowledge sharing berpengaruh positif dan signifikan terhadap kompetensi profesional. In house traning, knowledge sharing dan kompetensi profesional berpengaruh positif dan signifikan terhadap kinerja karyawan. in house traning dan knowledge sharing berpengaruh positif dan signifikan terhadap kinerja karyawan melalui kompetensi profesional sebagai mediasi.
Kata kunci: in house training; knowledge sharing; kompetensi profesional; kinerja karyawan.

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis penyelenggaraan pelatihan kepemimpinan pengawas dan efektivitas penyelenggaraan pelatihan kepemimpinan pengawas tersebut dalam masa pandemi covid-19 di lingkungan Pemerintah Kota Salatiga. Penelitian ini menggunakan metode penelitian kualitatif. Model analisis data yang digunakan adalah model analisis Interaktif Miles dan Huberman. Kesimpulan dari penelitian menunjukkan bahwa penyelenggaraan pelatihan kepemimpinan pengawas dalam masa pandemi covid-19 di lingkungan Pemerintah Kota Salatiga belum efektif karena metode penyampaian yang digunakan hanya metode ceramah, koneksi internet yang kurang stabil dan pengawasan yang dapat dilakukan panitia dan widyaiswara hanya dengan melekat di zoom masing-masing peserta. Saran yang dapat diberikan terkait hasil penelitian ini adalah metode penyampaian yang digunakan hendaknya variatif dan disisipkan ice breaking agar peserta tidak bosan, disiapkan gedung khusus dengan koneksi internet yang stabil, peserta dikumpulkan di satu titik lokasi untuk mempermudah pengawasan yang dilakukan oleh panitia.