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Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.

Emotional mental health in adolescents is an important focus because this age group is highly vulnerable to academic and social pressures, as well as the demands of personal development. Emotional problems such as anxiety, stress, and depression that are not recognized early on can interfere with concentration, social relationships, and psychological well-being. This study aims to review the literature related to the early detection of emotional mental disorders in adolescents, so that it can serve as a basis for the development of prevention and intervention strategies. The method used is a literature review, analyzing a number of recent research articles discussing risk factors, symptoms, and early screening methods using instruments such as the Self Reporting Questionnaire (SRQ) and the Strengths and Difficulties Questionnaire (SDQ). The results of the study show that the most common symptoms include anxiety, fatigue, concentration disorders, and relationship problems with peers in adolescents, as well as academic pressure in students. Early screening has been proven to help identify individuals at risk so that intervention can be carried out more quickly. The use of technology, such as web-based expert systems, can also speed up the screening process and improve the accuracy of assessments. It is recommended that educational institutions and health services be more active in conducting mental health screening, providing promotional education, and designing preventive programs. Further research should use analytical or experimental designs to explore risk factors and the effectiveness of interventions in greater depth.