Garuda - Garba Rujukan Digital

Pengembangan Modul Pembelajaran Kalkulus 1 Berbasis Problem Based Learning Di STMIK Duta Bangsa Farida, Anisatul; Indah, Ratna Puspita
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol 4, No 1 (2017): Jurnal Derivat (Juli 2017)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

The purpose of this research is to develop module Calculus 1 based on the problem based learning that valid, practical, and effective in Calculus 1 at Information Engineering of STMIK Duta Bangsa. This research is development research using 4D model. The steps are defined, design, develop, and disseminate. The define steps are syllabus and textbook analysis, review of the literature, and interview about lesson and college student about learning in the classroom. The design step is the design of workbook. The developing steps are consists of validation, praktikalitas, and effectiveness. After designed, the workbook will be validated by the validator. At the praktikalitas step, workbook was tried out to students semester 1 Â of Information Engineering in STMIK Duta Bangsa. This event will be observed by an observer. The effectiveness of workbook observed at the same time with praktikalitas steps. The effect that observed were the activities and student learning outcomes. The technique of collecting data was done by validation sheet, observation sheet, field notes, and an interview. The data were analyzed using the descriptive set. The dissemination step was spread of the product. The outer of this research is a prototype, model, module of Calculus 1 and national journal publication. The result showed that the module of Calculus 1 was having validity very valid by content and construct. According to observation and interviews, note showed that module Calculus 1 was already practical and easy to used by students. The module of Calculus 1 is effective according to the study and observation activity students. This research was indicated that by using modules can improving activity and learning outcomes students.Keywords: module, problem-based learning, Kalkulus 1

Pengembangan Model Pembelajaran ARCS (Attention, Relevance, Confidence, Satisfaction) Dengan Wolfram Mathematica Farida, Anisatul; Indah, Ratna Puspita
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol 6, No 2 (2019): Jurnal Derivat (Desember 2019)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

AbstractThis study aimedÂ to develop a computer-based ARCS kind of classroom that valid, practical, and effective.This research adopting both qualitative and quantitative research and development with a method developed by Gall and the Borg. This research subject was students ofÂ engineering information Duta Bangsa UniversityperiodÂ 2018Â / 2019.An instrument in this research consists of ( 1 ) an instrument assessment valid components model and devices supporting learning, ( 2 ) an instrument assessment practicality of faculty and students, and ( 3 ) instrument effectiveness of which includes sheets of the test results learning and chief appreciation students to learning linear algebra computer-based.The subject of this research is 25 students whoÂ took linear algebra.Â Â The study showed that Kind of classroom computer-based ARCSÂ that met the criteria of valid, practical, and effective.Â PracticalityÂ ARCS kind of classroom computer-based based on ( 1 ) assessments from he got from his lecturers have reached very practical criteria; ( 2 ) assessing the from students we have achieved very practical criteria.Â The current effectiveness of ARCSÂ kind of classroom computer-based based on ( 1 ) the results of Â THB students, fulfilled the criteria the current effectiveness of with the percentage 76 %, ( b ) appreciation students learning ARCS against computer-driven which reached the criteria for good.Â It is also can be said that there is a correlation betweenÂ appreciation students learning arcs against computer-based learning about mathematics with the results of the first significance 5 % with a correlation coefficient r = 0,715 Â Keywords: Kind of classroomÂ ARCS, computer, linear algebra.

Penerapan Blended Learning Untuk Peningkatan Kemandirian Belajar Dan Critical Thinking Mahasiswa Farida, Anisatul; Indah, Ratna Puspita
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol 5, No 2 (2018): Jurnal Derivat (Desember 2018)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

This study aimed to improved understand independency enhancement and critical thinking of learning students through based blended learning. This research combines classroom action research which refers to Stephen Kemmis and Robin Mc Taggart. This research subject were students of engineering information STMIK Duta Bangsa period 2017 / 2018. This research was conducted in two cycles and each cycle was done in two meetings. Every cycle consisted of 4 steps are preparation, action, observation, evaluation, analysis, and reflection. The subject of this research is the students who took Calculus 1. The technique of collecting data was done by assessing test result and observation, test instrument, observation sheet, and field notes. The data was analyzed by using quantitative-descriptive approach. The study showed that the strategy of blended learning proved to be succeeded in increasing understand independency enhancement and critical thinking of learning students through based blended learning in Calculus 1. This is based on the occurrence of (1) increasing of independency enhancement a rise in their ability college student in learning one who is an independent study prior to the adoption of blended learning is as much as 11,2 % and after the cycle of come to an end the application of blended learning was recorded at 88,8 %. (2) increasing in their ability college students to critical thinking between prior to the adoption of blended learning is as much as 12,4 % and over the course of his shift to be over the application of a notebook detailing the development strategy blended learning was recorded at 91,2 %Keywords: Blended Learning, independent learning, critical thinking

Pengaruh Kemandirian Belajar Siswa Terhadap Hasil Belajar Matematika Indah, Ratna Puspita; Farida, Anisatul
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2021): Jurnal Derivat (Juli 2021)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

The study aimed to identify the influence of independence for the mathematicsÂ student learning in SMP Al Irsyad Surakarta. The subject of this research are all students of class 8 SMP Al Irsyad Surakarta, which consisted of 120 students and the samples chosenÂ with random sampling are 49 students in 3 class in the school year 2020/2021. SamplesÂ were taken using the Random sampling technique. The data of independence for the mathematics student learning using a questionnaire. This study using quasi experimental research. The prerequisite using the normality test and linearity test. The normality test by using Kolmogorov Smirnov and the linearity test by using Anova. When the a prerequisite fulfilled, so followed by the Linear Regression. The result showed there are significant impact study of independent learning. Independent learning have a positive influence of mathematics students, although the result is still below 50%. This may be affected by the lack of knowledge students learn about independence, so not been undertaken in full. The conclusions obtained that students could be more improve mathematics learning outcomes.Â Keywords: learning, independent learning, mathematics, learning outcomes

Efikasi Diri Mahasiswa Pada Perkuliahan Matematika Diskrit Farida, Anisatul; Indah, Ratna Puspita
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2023): Jurnal Derivat (Desember 2023)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i3.4744

The purpose of this qualitative research is to describe in detail the profile of students' self-efficacy in dealing with discrete mathematics courses. The subjects of this study were 21 students of class TI21A4 Informatics Engineering Study Program, Duta Bangsa University, Surakarta, who were taking a Discrete Mathematics course. The information gathering tool consisted of a self-efficacy questionnaire and a guide for interview sessions. Participants filled out a questionnaire related to self-efficacy. The output of the self-efficacy questionnaire showed that 5% of students showed a very high level of self-efficacy, 39% had a high level of self-efficacy, 33% had a moderate level of self-efficacy, and 23% experienced a low level of self-efficacy. After that, 6 students were selected to be research subjects, consisting of 2 students each with high, medium, and low self-efficacy levels. Students with high and medium self-efficacy in solving Discrete Mathematics questions do not give up easily, while students with low self-efficacy give up easily when solving these problems. Students with high and moderate self-efficacy have been able to learn independently, while students with low self-efficacy have not been able to learn difficult Discrete Mathematics material independently and need guidance from the lecturer. Even so, students with high, medium, and low self-efficacy were able to complete assignments and submit assignments on time. Students with low self-efficacy, their learning efforts are less than optimal for various reasons so that they have not been able to achieve the targeted learning achievements. While students with high and moderate self-efficacy are already optimal with regard to their learning efforts Keywords: self-efficacy; student; discrete mathematics

Application of Item-Based Collaborative Filtering Method for Skincare Recommendation System Hidayat, Almaranda Aisyanissa; Joni Maulindar; Indah, Ratna Puspita
Journal of Advances in Information and Industrial Technology Vol. 7 No. 1 (2025): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i1.588

Skincare refers to skin care products. These products have different purposes depending on the user's skin type. Over time, public awareness and interest in skincare will increase, leading to a rapid growth of skincare products. Therefore, an Item-Based Collaborative Filtering (CF) method is used to develop a skincare recommendation system. This method will provide personalised recommendations by leveraging the behaviour data of other users with similar preferences and characteristics. This study uses user ratings and preferences for skincare products as data. This data is then used to build a CF model, which will be analysed to calculate user similarity patterns using the cosine similarity matrix. The application of the CF method demonstrates its effectiveness in matching user preferences, resulting in the most relevant product recommendations. This system not only increases the accuracy of recommendations but also helps users find products that meet their skin care needs, as the error rate in the system is 0.245.

Air Temperature and Humidity Monitoring System for Oyster Mushroom Cultivation Ardani, Hasby Arif; Maulindar, Joni; Indah, Ratna Puspita
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7348

Oyster mushroom cultivation demands the stability of the microenvironment, especially in the aspects of temperature and humidity in the barn space. Manual monitoring methods that are still commonly used are often less responsive and inefficient in capturing real-time changes in conditions. To answer these problems, this research designs and builds an Internet of Things (IoT)-based monitoring system integrated with the Ubidots platform as a control center and data visualization. This system is able to read and send precise temperature and humidity data using the Hypertext Transfer Protocol (HTTP) protocol. This system uses the DHT22 sensor which is more accurate than previous studies that generally use the DHT11 sensor. The test results show that the system works responsively, stably, and accurately in presenting real-time environmental data, with a temperature reading error rate of about ±0.5°C and ±5% humidity. The implementation of the system at the oyster mushroom cultivation site in Jonggrangan Village, Klaten Utara, proved its effectiveness in helping farmers monitor and maintain mushroom growth conditions remotely in an efficient and sustainable manner.Oyster mushroom cultivation demands the stability of the microenvironment, especially in the aspects of temperature and humidity in the barn space. Manual monitoring methods that are still commonly used are often less responsive and inefficient in capturing real-time changes in conditions. To answer these problems, this research designs and builds an Internet of Things (IoT)-based monitoring system integrated with the Ubidots platform as a control center and data visualization. This system is able to read and send precise temperature and humidity data using the Hypertext Transfer Protocol (HTTP) protocol. This system uses the DHT22 sensor which is more accurate than previous studies that generally use the DHT11 sensor. The test results show that the system works responsively, stably, and accurately in presenting real-time environmental data, with a temperature reading error rate of about ±0.5°C and ±5% humidity. The implementation of the system at the oyster mushroom cultivation site in Jonggrangan Village, Klaten Utara, proved its effectiveness in helping farmers monitor and maintain mushroom growth conditions remotely in an efficient and sustainable manner.

COMPUTATIONAL MATHEMATICAL MODELING FOR LUNG CANCER DISEASE PREDICTION USING MULTIPLE LINEAR REGRESSION Farida, Anisatul; Indah, Ratna Puspita; Hartanti, Dwi; Silva, Adão Manuel da
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/twy84j24

Lung cancer remains one of the most prevalent and deadly types of cancer worldwide, especially in developing countries with high smoking rates and limited early detection resources. This study aims to develop a computational mathematical model for predicting lung cancer risk using multiple linear regression. The model focuses on two primary factors: genetic predisposition and exposure to passive smoking, which are among the most significant determinants of lung cancer. An observational analytic design was employed using secondary data obtained from cancer registries, hospital records, and national health survey datasets. Computational data preprocessing techniques, including data cleaning, missing value imputation, and variable normalization, were applied to ensure model accuracy and reliability. The regression analysis revealed that both genetic predisposition and passive smoking significantly increased the lung cancer risk score, with regression coefficients of 0.24 and 0.48, respectively. The findings indicate that passive smoking has a greater impact on lung cancer risk compared to genetic factors. The final model demonstrated a coefficient of determination (R²) 0.72 indicates that 72% of the variation in risk can be explained by the combination of these two variables. This finding suggests that environmental factors have a more dominant influence than lifestyle factors on increasing lung cancer risk. This computational model provides a practical tool for early detection and risk stratification, supporting public health policies aimed at tobacco control and targeted screening programs to reduce lung cancer incidence and mortality

Lung Cancer Disease Prediction Model with Multiple Linear Regression Indah, Ratna Puspita; Farida, Anisatul; Masidayu, Sharifah Noor
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/qpmszf57

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, particularly in developing countries where smoking prevalence is high. This study aims to develop a predictive model for lung cancer risk using multiple linear regression based on two main factors: genetic predisposition and exposure to passive smoking. The research was conducted using an observational analytic design with secondary data derived from cancer registries, hospital medical records, and national health surveys. Data processing included cleaning, imputation of missing values, and standardization of exposure variables. The results of the regression analysis showed that both genetic risk and passive smoking significantly increased the lung cancer risk score, with coefficients of 0.24 and 0.48, respectively. Interestingly, passive smoking demonstrated a stronger impact compared to genetic predisposition, indicating its role as a more dominant determinant of lung cancer risk. The model explained 20.5% of the variation in risk, while the remaining was influenced by other factors such as air pollution, occupational exposure, and lifestyle. These findings highlight the importance of strengthening public health policies, particularly tobacco control in public spaces, and implementing targeted risk-based screening strategies. This predictive model offers a practical tool for early detection, efficient allocation of health resources, and effective cancer prevention strategies.

Efikasi Diri Mahasiswa Pada Perkuliahan Matematika Diskrit Farida, Anisatul; Indah, Ratna Puspita
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2023): Jurnal Derivat (Desember 2023)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v10i3.4744

The purpose of this qualitative research is to describe in detail the profile of students' self-efficacy in dealing with discrete mathematics courses. The subjects of this study were 21 students of class TI21A4 Informatics Engineering Study Program, Duta Bangsa University, Surakarta, who were taking a Discrete Mathematics course. The information gathering tool consisted of a self-efficacy questionnaire and a guide for interview sessions. Participants filled out a questionnaire related to self-efficacy. The output of the self-efficacy questionnaire showed that 5% of students showed a very high level of self-efficacy, 39% had a high level of self-efficacy, 33% had a moderate level of self-efficacy, and 23% experienced a low level of self-efficacy. After that, 6 students were selected to be research subjects, consisting of 2 students each with high, medium, and low self-efficacy levels. Students with high and medium self-efficacy in solving Discrete Mathematics questions do not give up easily, while students with low self-efficacy give up easily when solving these problems. Students with high and moderate self-efficacy have been able to learn independently, while students with low self-efficacy have not been able to learn difficult Discrete Mathematics material independently and need guidance from the lecturer. Even so, students with high, medium, and low self-efficacy were able to complete assignments and submit assignments on time. Students with low self-efficacy, their learning efforts are less than optimal for various reasons so that they have not been able to achieve the targeted learning achievements. While students with high and moderate self-efficacy are already optimal with regard to their learning efforts Keywords: self-efficacy; student; discrete mathematics

Title

Found 12 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 12 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 12 Documents
Search