SAINTEKBU

Implementing the Internet of Things in a Web-Based Air Pollution Detection System using NodeMCU

Mohammad Afifuddiin — 2025-08-04

Air pollution is one of the factors that causes health problems. Air pollution can be caused by several factors, two of which are natural factors and human factors. Plumpang District is one of the areas in Tuban Regency where there are many mining and industrial activities, especially limestone processing. Of course, this will cause an increase in the production of pollutant gases that are harmful to the body, one of which is carbon monoxide (CO). The use of the Internet of Things (IoT), microcontrollers, and sensors is expected to create a real-time air pollution monitoring tool. In this study, the MQ-7 sensor was used to detect carbon monoxide gas, and NodeMCU was used as a means of processing data to send data to the database. And later the information from the sensor readings will be displayed on the website page. The results of this study have succeeded in creating a real-time air pollution monitoring system which can then be developed to monitor air pollution itself.

Design of New Student Registration System Using Web-Based Waterfall Method

Ziky Ziky — 2025-08-04

New student admission is one of the crucial processes in educational institutions that require accurate and efficient data management. MTs Amaliyah Sunggal, located at Jl. Tani Asli, Kp. Lalang, Kec. Sunggal, Deli Serdang Regency, North Sumatra, previously implemented a manual registration system that had many obstacles, such as a long process, data recording errors, and difficulty in monitoring registration progress. To overcome these obstacles, a web-based new student registration system was designed using the Waterfall development method. The Waterfall method was chosen because it has a systematic and orderly structure, which includes five main stages, namely needs analysis, system design, implementation, testing, and maintenance. In the design process, user needs are identified in detail to ensure that the system can accommodate all required functions. After that, the system is designed and implemented using web technology that allows prospective students to register online, thereby reducing the school's administrative burden. This system has been tested using Lighthouse which showed quite good performance with First Contentful Paint (FCP) of 1.6 seconds and Largest Contentful Paint (LCP) of 2.6 seconds, while Total Blocking Time (TBT) and Cumulative Layout Shift (CLS) obtained perfect scores reflecting the stability of the layout and speed of the system. This system provides convenience for prospective students to access registration information from anywhere and at any time. In addition, the school can monitor registration data in real-time and generate reports automatically. Thus, it is expected that this system can improve efficiency, accuracy, and transparency in the process of accepting new students at MTs Amaliyah Sunggal.

Automation of Credit Approval Eligibility Using The Simple Additive Weighting Method At Financial Institutions

Aprilia Sulistyohati — 2025-08-04

Cooperatives as financial institutions engaged in has an important role in providing a source of financing for its members. The credit approval eligibility process in cooperatives is often done manually, which can take a long time, is prone to human error and subjectivity in decision making. and subjectivity factors in decision making. The method used method used in this research is the Simple Additive Weighting (SAW) method that is applied in automating the feasibility of credit approval in cooperatives. The criteria used in this research are income, age, credit history, occupation, number of dependents. This method is used with the aim of providing decisions that are more consistent, objective, transparent, and the time it takes is shorter. The result of this study is that customer A gets the highest score of 0.82, so that the customer is declared the most deserving prospective debtor to get credit approval at the cooperative. The results show that the application of the SAW method in the automation of credit approval eligibility has succeeded in increasing time efficiency in the credit approval eligibility assessment process so that it can handle more credit cases efficiently, besides that this method is able to minimize human error, and is able to eliminate the subjectivity factor in decision making. This can increase customer confidence in supporting transparent cooperative operations

The Classification of Insurance Claim Risk Using the Multilayer Perceptron Method

Endang Wahyu Handamari — 2025-08-04

Policyholders purchase insurance policies to protect themselves or their assets from potential financial risks in the future. Insurance guarantees that if an event covered by the policy occurs, the insurance company will provide compensation according to the agreed terms. Insurance companies conduct risk assessments for each policyholder to determine the premium that must be paid, making it essential to classify risk categories accurately. The Multilayer Perceptron (MLP) is one method used for classification problems. It is a machine learning algorithm belonging to the family of artificial neural networks. MLP is a flexible algorithm that can solve various classification problems, including those with complex features and non-linear relationships between input and output variables. The result of this research is the development and implementation of a Multilayer Perceptron method to classify risk categories. The evaluation of the Multilayer Perceptron model for risk classification shows satisfactory performance. Based on the classification report from training and test data, the model does not exhibit overfitting or underfitting.

Development of an Information System for Practicum Video Content in the Digital Library of KH. A. Wahab Hasbullah University

Nur Faht — 2025-08-04

A library is a work unit of a particular agency or institution that manages library materials, either in the form of books or non-book materials, that are systematically arranged according to specific rules so that they can be used as a source of information by each user. Although books remain a valuable source of information, many faculties, especially in fields that require practicums, often face difficulties when courses are completed, especially for students who are late to class or absent due to reasons such as work or other commitments. This challenge is even more pronounced for students who are unfamiliar with the course, especially those without a basic education in the field. Additionally, this website is also expected to support students in learning independently after lectures have concluded. The method used in planning research on the video content development system for practical work at the Unwaha digital library is the Waterfall Model, which encompasses analysis, design, testing, implementation, and maintenance phases. In data collection, quantitative methods are employed, including questionnaires and embedded techniques to collect video data. The results of this study indicate that 50% of the respondents considered this video tutorial website to have a significant influence on their learning motivation. Additionally, 54.2% of respondents considered this video tutorial website effective in supporting distance learning.