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Business is an economic activity carried out by individuals or organizations to produce and sell goods or services with the aim of making a profit. The NSH Group Store is a business that sells carpets, pillows, bolsters, and dolls located in the Sei Dadap I/II Plantation, Sei Dadap District, Asahan Regency, North Sumatra 21225. The NSH Group Store was established in 2016 and is owned by Mrs. Siti Komariah Siregar. Among the challenges faced by the NSH Group Store owner are irregular stock procurement. Sales transaction processes still use conventional methods, reducing efficiency and time effectiveness, and potentially leading to data errors. Supply Chain Management is a series of approaches used to efficiently integrate suppliers so that goods can be distributed in the right quantities, locations, and at the right time, with the aim of minimizing overall system costs. A bolster pillow is a pillow that can function as both a pillow and a bolster. Bolster pillows are oval and long, so they can be hugged while sleeping. The benefits of a bolster pillow include maintaining a proper sleeping position, reducing pressure on joints, helping reduce aches, improving sleep quality, and improving overall health. Therefore, by implementing Supply Chain Management (SCM), data processing will be faster and more accurate.

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

As a vocational education institution, SMK Swadhipa 1 Natar is required to provide adequate facilities to support the development of its students' technical and practical skills. Although some facilities are already available, student complaints remain regarding the condition, availability, and utilization of these services, particularly those related to information technology.This study aims to analyze the level of student satisfaction with information technology services at SMK Swadhipa 1 Natar using a combination of Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) methods. The study was conducted through a quantitative approach by distributing questionnaires to 100 respondents selected using stratified random sampling techniques. The data collected were analyzed to determine the overall satisfaction score and identify factors of information technology services that were a priority for improvement. The results of the CSI analysis showed that the level of student satisfaction with school information technology services was in the good category, with an average score of 82%. Furthermore, the results of the IPA analysis revealed that information technology services such as computer services in the school lab, wifi networks, and school websites consisting of school exam applications, student registration applications and information about the school on the website were in the top priority quadrant because they had a high level of importance but their performance was still low. Based on these results, it can be concluded that although in general students stated that they were quite satisfied with the information technology services available, there were several important aspects, especially technology-based information technology services, that needed more attention from the school. Thus, recommendations for improving technological infrastructure and periodic evaluation of educational information technology services can help SMK Swadhipa 1 Natar in improving the quality of educational services and student satisfaction. 

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

This study aims to analyze and compare the performance of the Naive Bayes, K-Nearest Neighbors (KNN), and Decision Tree algorithms in predicting the purchase intention of e-commerce visitors using the Online Shoppers Purchasing Intention Dataset, which consists of 12,330 records and 18 variables, with the Revenue variable serving as the classification target. The preprocessing stage involved transforming categorical and boolean variables into numerical form, standardizing features using StandardScaler, and splitting the dataset into 80 percent training data and 20 percent testing data. Model evaluation was conducted using accuracy, precision, recall, F1-score, and ROC-AUC metrics, and was further strengthened by 10-fold cross-validation to obtain more stable results. The findings indicate that KNN achieved the highest accuracy of 0.866180, while Naive Bayes produced the highest recall value of 0.690998 and the highest ROC-AUC value of 0.821696. Meanwhile, Decision Tree demonstrated relatively balanced performance with an accuracy of 0.857259 and an F1-score of 0.571776, whereas the cross-validation results identified KNN as the model with the highest average accuracy of 0.8770. These findings suggest that the selection of a classification model for purchase intention prediction cannot rely solely on a single evaluation metric, as each algorithm possesses different strengths. Therefore, a comparative approach among algorithms can help determine the most suitable model for supporting consumer behavior analysis on e-commerce platforms.

Iridology provided special perspective to the concept of health and medical practices. Only by observation from outside the body, namely check for signs of an iris iridology idiomatic condition would be revealed by the organ and tissue in the body system, long before clinical symptoms of an illness experienced by a person may feel or diagnosed by conventional methods Required analytical methods for measuring and determining cholesterol in the human body, by testing the Sobel edge detection, Prewitt and Robert Canny edge detection realized in a software help to define or classify normal cholesterol levels, moderate to high cholesterol levels in the human body. Introduction of the iris database features Matching method by distance classifier based on the results of segmentation, edge detection, semi-polarization and the quantization able to detect the level of cholesterol in the human body ranges up to 80% of the 90 samples. Keywords: Iridology, edge detection, distance classifier, semi-polarization, quantization

This research made for applying adaptive tutoring system for programming languages learning.Adaptive tutoring system that developed have ability to present learning material, providing quiz problem,test problem and pretest. System has ability to present learning material accords ably student materialmastery. Material representation bases prerequisite material probability that accounted by bayes'stheorem, meanwhile student material mastery is accounted bases time that is utilized to study material,assess quiz that is reached and student test point. Developed system gets web basis to be able to beaccessed by a lot of student on one time and learning get at call been done. In this research is concludedthat adaptive tutoring system can help student does navigation learning material, recommending learningaim and presents learning material thread.

Ini adalah suatu ikhtisar yang memuat semua pokok dalil hadits mengenai hukum-hukum yang terkandung dalam perundang-undangan Islam. Disusun ikhtisar ini dengan susunan yang mudah difahami, agar dapat dijadikan pedoman bagi orang yang bermaksud menghafalnya dan memeliharanya dengan tinjauan yang memusat. Agar dapat menolong para pelajar dan mahasiswa dalam mempelajari hukum-hukum Islam, dan dapat pula dijadikan pegangan bagi orang yang ingin mendalami hukum, sehingga isi tidak menyimpang dari pokok hadits yang benar. Perumusan masalahnya adalah bagaimana merancang dan membangun Kitab Bulughul Maram Digital? Kitab Bulughul Maram dari hadits karya agung Al Imam Al Hafizh Ibnu Hajar Al’Asqalani Rahimahullah. Software yang digunakan untuk merancang dan membangun kitab digital ini terdiri dari microsoft frontpage (html), microsoft compressed html help (chm), scilab, irvan view, html  kit, editpad lite dan html e-publisher. Sumber data menggunakandata primer dan data sekunder. Metode pengumpulan data menggunakan metode observasi, metode interview dan metode studi pustaka. Metode pengembangan sistem melalui tahap perencanaan sistem, tahap analisa sistem, tahap desain sistem, tahap pengembangan sistem, tahap implementasi sistem. Tujuan dari penelitian ini menghasilkan kitab bulughul maram digital dalam bentuk bahasa arab dengan terjemahan bahasa indonesia.

A university as an educative institution needs an assessment for the programs it has. In order to conduct such assessment , some components need to be assessed based on the internal and external factors. It is necessary to establish a decision support system toward the performance of the department. It can help the decision maker to know the condition occurred in this department. 'l he assessment of the study program's performance for evaluating can be done by underlining the components that will be assessed by making the model. The model which is prepared by applying some rules, stated in accreditation board, will be used as a reference in performance assessment for  Diploma III program. By applying a model toward the assessment criteria from the related department, it will help us to get the result. The achieved result is in form of the total score from the assessment, the score is devided into 5 class excellent, very good, good, sufficient and poor. Consequently, the report of resulting assessment can be to determine some steps to improve or maintain the recent achievement. By applying the decision support system of the department’s performance , it allow a decision maker to be able to monitor the department or the study program.