Bulletin of Applied Mathematics and Mathematics Education

Comparison of Continuous Review System and Min-Max Method in Soybean Inventory Control

Ellysa Syafitri, Riri Syafitri Lubis — Tue, 15 Oct 2024 00:00:00 +0000

This study aims to compare the effectiveness of two inventory control methods, namely continuous review system and min-max in controlling soybean raw material inventory in tofu production. The continuous review system method is an inventory control system where raw material inventory is checked continuously while the min-max method is a method that maintains raw materials between the minimum and maximum limits. The data used are data on soybean raw material inventory and needs at the Ali Musa tofu factory in Serdang Bedagai Regency. Based on the results of the analysis of total inventory costs using the continuous review system method, it is IDR 418,978,693/year 2021 and IDR 430,271,76/year 2022. While the total inventory cost using the min-max method is IDR 366,272,031/year 2021 and IDR 367,964,100/year 2022. While the company uses IDR 429,321,708/year 2021 and IDR 445,381,200/year 2022. From the calculations above, the min-max method is more effective in reducing total inventory costs with infrequent ordering frequencies. Since orders are not made regularly, this strategy reduces the number of soybean orders and reduces the cost of ordering. When the reorder limit is reached, the company will place the order. The choice of inventory control method must be adjusted to the needs and operational characteristics of the company. The continuous review system method is better for companies with high and fluctuating raw material needs, while min-max can be used for companies with more stable raw material needs.

HOTS-oriented mathematical problemsolving ability judging from student learning styles

kharisa rinandyta sheilawati, rini setyaningsih, Sri Rejeki — Wed, 27 Nov 2024 00:00:00 +0000

This research aims to analyze students' mathematical problem solving abilities in solving Higher Order Thinking Skills (HOTS) oriented mathematics problems in Algebra material. Students have the opportunity to find out to what extent their abilities are in solving problems. This research can provide experience in solving mathematics problems that can measure high-level thinking abilities. This research uses a qualitative descriptive method. The subjects of this research consisted of 6 students of class VIII Science 4 at MTs Negeri 1 Surakarta. Data collection techniques consist of questionnaires, tests and interviews. Data analysis techniques consist of data presentation, data reduction, and conclusions. The results of this research are the mathematical problem solving abilities of class VIII Science 4 students based on the visual learning style type which is the same as the auditory learning style in solving problems on SPLDV material, namely being able to carry out up to the fourth stage of Polya (understanding problems, making problem solving plans, solving problems, and examining returning the process and results of problem solving). Meanwhile, the mathematical problem solving abilities of class VIII Science 4 students are based on the kinesthetic learning style type, namely implementing up to the third stage of Polya (understanding the problem, making a problem solving plan, and solving the problem).

Optimization of Feature Selection on Semi Supervised Data

Dian Eka Wijayanti, Sugiyarto Surono; Deshinta AD; Sintia Afriyani — Tue, 15 Oct 2024 00:00:00 +0000

This research explores feature selection optimization in semi-supervised text data by utilizing the technique of dividing data into training and testing sets and implementing pseudo labeling. Proportions of data division variations, namely 70:30, 80:20, and 90:10, were used as experiments, employing TF-IDF weighting and PSO feature selection. Pseudo labeling was applied by assigning positive, negative, and neutral labels to the training data to enrich information in the classification model during the testing phase. The research results indicate that the Linear SVM model achieved the highest accuracy at a 90:10 data division proportion with a value of 0.9051, followed by Random Forest with an accuracy of 0.9254. Although RBF SVM and Poly SVM yielded good results, KNN showed lower performance. These findings emphasize the importance of feature selection strategies and the use of pseudo labeling to enhance the performance of classification models in semi-supervised text data, offering potential applications across various domains that rely on semi-supervised text analysis.

Identifying Malariae Disease Through Red-blood Microscopic Image with XGBoost and Random Forest Methods

Thu, 12 Dec 2024 00:00:00 +0000

Blood cells that flow in the human body provide information to diagnose a disease. The information provided can be obtained through images of these blood cells using image processing techniques. Malaria is a very deadly disease and can affect everyone. Patients with malaria will experience anaemia because the red blood cells or erythrocytes are contaminated with plasmodium. This study offers an alternative solution to malaria disease identification through the image classification of red blood cells, by applying image processing and image classification methods with XGBoost and random forest. The research was conducted using the R programming language in RStudio and Python. The accuracy of XGBoost and random forest methods were 71.26% and 77.58%, respectively. Therefore, the random forest provided a better optimal classification model with higher accuracy. The model is used to build an application which is R web-based, RShiny. In practice, this application can be used by health workers in classifying patients based on red blood cell images such that the health centre would be easier to manage the existing patients.

The Tahani Fuzzy Logic Method for Detecting Violence against Women in North Sumatera

KHAIRUN NISA, Rina Filia Sari — Tue, 15 Oct 2024 00:00:00 +0000

Violence against women is a pervasive issue in society. Violence often encompasses various forms, such as physical, psychological, economic, and sexual violence. This research employs the Tahini fuzzy logic method to predict cases of violence against women. The results of the analysis in query fuzzification indicate that there are 16 districts experiencing high values in cases of violence against women, namely: Asahan, Batu Bara, Dairi, Deli Serdang, Karo, Binjai City, Gunung Sitoli City, Pematang Siantar City, Tanjung Balai City, Labuhan Batu Utara, Labuhan Batu, Langkat, Padang Lawas Utara, and Simalungun. This research also provides recommendations based on detection results, utilizing the fire strength value as the highest level ranking. Looking at the total 33 districts in North Sumatera, the highest level of violence against women is in Medan City, which occurred from July to December 2022, where all four criteria for typical cases of violence against women are significantly high.

DEVELOPING PROBLEM-BASED LEARNING STUDENT WORKSHEET ON MATRIX MATERIALS TO IMPROVE GRADE XI NATURAL SCIENCE STUDENTS’ CRITICAL THINKING SKILLS

Burhanudin Arif Nurnugroho, Zahro Khoirunisa — Tue, 26 Nov 2024 00:00:00 +0000

This research was conducted based on problems obtained from pre-research activities at MAS Taruna Al Quran Yogyakarta. During the pre-research, the researcher obtained information that the learning process tended to be one-way so that student involvement in the learning process was very minimal and the teaching materials used during the learning process were using LKPD from the publisher. The LKPD presents a summary of the material and contains questions that only focus on the students' understanding stage and the LKPD is also not able to improve critical thinking skills. Critical thinking skills of class XI MAS Taruna Al Quran Yogyakarta students based on results pretest what has been done is classified in the medium category, but the interpretation indicators are still in the low category and the inference indicators are still in the medium category. This research aims to develop, determine the level of validity and practicality of LKPD-based Problem Based Learning on matrix material, as well as to improve students' critical thinking skills, especially on interpretation and inference indicators. The development model used in this research is the ADDIE model which has 5 development stages including 1) Analysis, 2) Design, 3) Development, 4) Implementation, and 5) Evaluation. The results of this research are (1) the average result of the media expert assessment is 46 with a very good category; (2) the average result of the material expert assessment is 100 with a very good category; (3) the results of the participant response questionnaire in the small-scale test were 84.4 in the very good category and the average results of the participant response questionnaire in the large-scale test were 90.5 in the very good category; (4) LKPD based Problem Based Learning The developed matrix material has a significant influence in improving critical thinking skills with an increase of 25,3%.