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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.

The Community Service and Practical Fieldwork Program (KPPM) serves as a tangible form of social responsibility by encouraging students to engage in meaningful activities that positively impact society. In the 2025/2026 academic year, IAKN Tarutung conducted this program involving undergraduate students, including those enrolled in the Christian Religious Education (PAK) and Church Music Education (PMG) departments. One of the designated locations for this program was Hutauruk Village in Tarutung District, North Tapanuli Regency. This study centers on the implementation of the KPPM program in Hutauruk Village, which ran from March to June 2025 and engaged students from IAKN Tarutung. The primary objectives of this research are to explore the spiritual challenges faced by the community, to present solutions developed during the program, to assess the overall impact of KPPM on the local residents, and to examine how participation in the program contributes to the students’ personal and professional development. A qualitative research approach was employed, using methods such as participatory observation, interviews, and literature review. The findings indicate that students are required to assist the BNKP (Banua Niha Keriso Protestan) Fa’omasi Tarutung Church community by working collaboratively, demonstrating creativity, actively participating, and applying effective problem-solving strategies.

The Medan city is one of the largest cities in Indonesia with many economic and tourist activities. The Medan city is one of the gateways for Indonesian businessmen and tourists, especially in North Sumatra. This requires an accommodation that can be a lodging solution for business people and tourists who are doing temporary interests in the city of Medan. This has the potential to design a hotel as a temporary lodging solution for business people and tourists in the city of Medan. The hotel design uses problem solving methods that are focused on solving existing problems, starting from the formulation stage, data collection, analysis to synthesis using survey techniques, literature studies and comparative studies. So that through the design of this hotel, it can be the right lodging solution in the city of Medan with a Tropical Architecture approach that is able to provide comfort for users. Hotel design pays attention to the availability of infrastructure and utilities to support human needs in a design that is able to adapt to the surrounding environment.

Innovation in the education sector has become increasingly important alongside the rapid advancement of digital technology, which has enabled the emergence of various platforms and applications designed to enhance teaching and learning quality. One area significantly impacted by this transformation is educational evaluation, where digital solutions offer more efficient, accurate, and data-driven assessment processes. This study aims to identify and analyze the role of the Evaloexam application in driving educational innovation while fostering the development of technological entrepreneurship among its users. The research employed a quantitative methodology using a survey approach involving educators and students at the senior high school (SMA) level who actively utilize the Evaloexam platform. A total of 100 respondents were selected through random sampling techniques, and data were collected over one month using structured online questionnaires. The collected data were analyzed using both descriptive and inferential statistical methods to measure user perceptions, system effectiveness, and innovation impact. The findings indicate that Evaloexam plays a significant role in facilitating educational evaluation processes by streamlining exam administration, automating grading, and providing analytical insights into student performance. These capabilities contribute to improved efficiency, reduced administrative workload, and more objective assessment practices. Furthermore, the application encourages the development of technological entrepreneurship by stimulating user interest in digital product innovation, educational technology development, and technology-based problem solving. The results are consistent with prior studies emphasizing the positive relationship between technology integration and improvements in educational effectiveness and operational efficiency. Practically, this research suggests that Evaloexam and similar digital evaluation platforms hold strong potential for broader implementation within educational systems to support innovation ecosystems and technology-driven learning environments. However, this study is limited by its relatively small sample size, focus on a single application, and short data collection timeframe. Future research is recommended to involve larger and more diverse populations, extended study durations, and comparative analyses across multiple evaluation platforms to obtain more comprehensive findings.

This research aims to determine the impact of Project Based Learning (MBKM) on Problem Solving for Undergraduate Students in Educational Technology at Bina Mandiri University, Gorontalo. The research method used is a qualitative and quantitative approach at four research stages. According to Creswel and Clark, mixed methods research is a research design with philosophical assumptions as well as being an inquiry method. As a methodology, this mixed research involves philosophical assumptions that guide the direction of data collection and analysis, as well as cultivating qualitative and quantitative research approaches throughout many phases of the research process. This research is in the first stage, namely identifying problem solving for Bachelor of Educational Technology students and measuring the effectiveness of MBKM project-based learning at UBMG. The results of the research show that project-based learning (MBKM) can influence Problem Solving for students in the Bachelor of Educational Technology study program at Bina Mandiri University, Gorontalo. This can be seen from the achievement of the problem solving method indicator for the Educational Technology S1 PRODI students, which was initially 75%, increasing to 87% after participating in project-based learning (MBKM) for one semester. The conclusion of this research is that project-based learning (MBKM) has a positive impact on improving problem solving skills in undergraduate students in educational technology so that it can be applied to subsequent learning processes.

The Problem-Solving Learning Model is one of the learning models that can develop problem-solving skills and student learning independence where this model is developed based on polya theory known as problem-solving steps, namely: identifying problem information/understanding problems, planning problem-solving strategies, using problem-solving strategies and re-examining solutions or solutions to problems that have been generated. The Use of the Problem-Solving Learning Model to Improve the Problem-Solving Ability of Pancabudi Private Vocational School Students for the 2023/2024 Academic Year. The purpose of this research is to determine the effectiveness of learning using the Problem-Solving learning model. This research is located at SMK Swasta Pancabudi where the class applies the Problem Solving learning model which will be compared with different classes using the classical learning model.

The Bhina ​​Tunas Bhakti Juwana Vocational School IT team is a unit team at Bhina ​​Tunas Bhakti Juwana Vocational School which has the task of managing media and everything related to IT. With current reporting techniques, reporting problems is still relatively slow and has an impact on the IT team's slow resolution of complaints from units or rooms experiencing problems. Therefore, the author has the initiative to build an IT Complaint Service System at Bhina ​​Tunas Bhakti Juwana Vocational School. This system is designed to provide reporting, monitoring and IT problem solving services in the school environment. The research methodology used is a qualitative method that uses observation, interview and literature study techniques in data collection. In designing the system, it refers to an object-oriented approach, so UML (Unified Modeling Language) is used. The output of this research will be a website-based IT complaint service system implemented at Bhina ​​Tunas Bhakti Juwana Vocational School.

CV Harico is a manufacturing company that produces briquetted charcoal final products. In this research, the company had problems with the quality of charcoal briquettes which did not meet standards, amounting to 12% of the production process, including slanted shapes, holes and cracks. In this research, problem solving is done by combining the Six Sigma and TRIZ methods to get suggestions for improvement. The Six Sigma method is an organized and systematic method, Six Sgma has 5 stages, which can be known as the DMAIC phase. Based on the calculation of the DPMO value and the calculation of the sigma value at the measurement stage, the average DPMO value for October 2023-November 2023 was 27219 with a sigma value of 3.43. Based on the identification results using the Fishbone Diagram method and the FMEA method, the largest defects were found in the slanted shape of the charcoal briquettes, these results were obtained from the factor with the highest RPN value that caused defects. Proposed improvements based on the TRIZ method analysis include providing training, carrying out periodic actions, making maintenance schedules, evaluating work processes, changing tools to reduce the occurrence of defects. The aim of this research is to analyze the problems that occur as well as efforts to control quality and reduce product defects in briquetted charcoal products.