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Cases of death in infants can be caused by several factors, one of which is Low Birth Weight (LBW). Babies born with low birth weight have a higher risk of experiencing delays in growth and development during childhood, and can even cause death compared to babies born with normal weight. Factors that affect LBW include: baby's length, mother's weight gain, mother's age, LILA, parity, birth spacing, nutritional anemia, and ANC. The purpose of this research is to find out the factors associated with LBW at the Bawangan Ploso Health Center, Jombang Regency, East Java Province in 2020. This research is a quantitative study with a cross sectional approach. The population in this study were all births recorded in the infant cohort data and data on pregnant and giving birth in the Bawangan Ploso Health Center, Jombang Regency for the period January 2020 to December 2020. The number of babies born in that period was 604 babies. Sampling used purposive sampling with a total sample of 100 respondents determined by inclusion and exclusion criteria. The results showed that the baby's length was pertinent to LBW (p = 0,000 < 0,05), maternal weight gain was pertinent to LBW (p = 0,000 < 0,05), maternal age was pertinent to LBW (p = 0,002), LILA was pertinent to LBW (p = 0,000 < 0,05), parity was not pertinent to LBW (p = 0,096 > 0,05), birth spacing was pertinent to LBW (p = 0,000 < 0,05), nutritional anemia was pertinent to LBW (p = 0,000 < 0,05), and ANC was not pertinent to LBW (p = 0,243 > 0,05). Based on the multivariate test, the weight gain of pregnant women is the dominant factor that influences the incidence of LBW.

This research focuses on the development of a web-based Computer Based Test (CBT) Application for Madrasah Tsanawiyah (MTs) Faqih Hasyim in Sidoarjo, East Java. This application aims to overcome conventional evaluation problems with paper and pen, such as cheating, scoring errors, and data management difficulties. Using web technologies such as HTML, CSS, PHP, and JavaScript, the application integrates the Fisher-Yates Shuffle algorithm to randomize the order of questions, reducing the possibility of cheating during the exam. Equipped with session tokens, exam timing, and result reports, the app improves the overall efficiency of the evaluation process. This study refers to previous research and highlights the importance of adopting technology to simplify assessment and facilitate online data management. The Fisher-Yates Shuffle algorithm, used to generate a unique sequence of questions for each student during the exam, minimizes the risk of cheating. The app implements a staged exam, ensuring students who meet the minimum criteria proceed to the next stage. In addition, the app achieves a degree of randomization of the exam content, eliminating patterns that may affect the exam results. The feasibility testing results show that the app is highly feasible, with a feasibility percentage of 92.4%. This conclusion signifies the app's success in achieving its development goals and making a positive contribution in easing the exam grading process. It is recommended to simplify the interface for senior users, improve the responsiveness of the website display for mobile access, and add a time limitation method in future research.   Keywords: Fisher-Yates Shuffle Algorithm, Computer Base Test, Question Randomization.