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Showing 1524 articles found for "Model"

Klasifikasi Kelayakan Penerima Program Indonesia Pintar Menggunakan Metode Naive Bayes di SMP Swasta IT Al-Ikhsan

Mayang Puspita Sari, Nadia Khairunnisa, Sarmila
Abstract: Education plays an important role in improving the quality of human life, but economic constraints often prevent many students from continuing their education. The Smart Indonesia Program (PIP) was launched to address these… ese issues by providing educational assistance. However, in its implementation, the selection of PIP recipients at IT Al-Ikhsan Private Junior High School is still inaccurate. This research aims to classify the eligibility of PIP recipients using the Naive Bayes method. This method is applied to student data from the school's Dapodik in 2024 which consists of 265 students. The data is processed through CRISP-DM data mining stages, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. As a result, the Naive Bayes model showed an accuracy of 92.31% with a precision value for the “Yes” class of 89%, recall 100%, and F1-score 94%. In conclusion, variables such as means of transportation, KPS and KIP recipients, parents' income, and distance from home to school affect the eligibility of PIP recipients.

Penerapan Naive Bayes Untuk Prediksi Penerima BLT di SD Swasta IT ABI Husni

Ayu Wandira, Nadhilla Rahmadani, Ummi Kalsum
Abstract: The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement… ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.

Prediksi Kelulusan Siswa SDN 016528 BP. Mandoge dengan Metode Naïve Bayes

Lestari, Cetryn Ayu Diah, Sari, Juwita, Wulandari, Sri
Abstract: Graduation marks the completion of a certain level of schooling. This study aims to predict the graduation of students at SDN 016528 BP Mandoge based on their abilities. The goal of this research is to reduce the rate of… student failure to graduate by making predictions based on examination scores collected by the institution. The method used in this study is Naive Bayes, a technique in Data Mining that utilizes probability and statistics to predict future outcomes based on previous data. This method was chosen due to its advantage in predicting graduation rates from concrete data, ensuring the results are reliable and applicable for future predictions. The dataset used in this study includes graduation data for SDN 016528 BP Mandoge students for the 2019/2020 academic year, comprising 171 students, with 120 students used for training data and 51 students for testing data, achieving a model accuracy of 98%.

Analisis K-Means dalam Segmentasi Pasar Penggunaan Handphone di Lingkungan Mahasiswa STMIK Royal

Febriyanti, Ade, Bancin, Putri Vina, Amanda, Siska
Abstract: The use of smartphones in Indonesia has been steadily increasing each year. In the era of the Fourth Industrial Revolution, smartphones have become a lucrative business sector, leading to intense market competition. Consequently,… equently, smartphone companies must pay closer attention to the market segmentation desired by consumers. Data mining is the process of discovering significant relationships and patterns by analyzing large datasets using statistical and mathematical techniques. This study aims to identify and analyze the market segments of Android smartphone users among students at STMIK Royal. The data used in this research were collected from 122 student respondents. The study employs clustering using the K-means algorithm. The resulting data modeling will categorize market segments into several clusters. This segmentation yields three clusters: Cluster 1 (features), consisting of 36 respondents who prioritize price, battery, camera, and warranty; Cluster 2 (product), with 49 respondents who value all attributes except warranty; and Cluster 3 (superiority), comprising 37 respondents who prioritize camera, brand, and RAM.

Sosialisasi Pembelajaran Biomathematics di SMP Muhammadiyah 51 Sidikalang Tentang Pemodelan Penyakit

Sisca Sri Dewi Saragih, Sariyani Kudadiri
Abstract: The independent curriculum provides opportunities for educators and students at SMP Muhammadiyah 51 Sidikalang to obtain information. Non-formal education can be obtained by participating in various activities, one of which… ich is socialization outside of school. This socialization provides additional knowledge, it turns out that mathematics and biology can be connected, for example regarding learning Biomathematics which can help model populations from the spread of disease, in this case the model for the spread of Covid-19. The aim of this event is so that educators and students can apply and model the spread of disease and read real phenomena through data. The method used in this event is assistance which helps in explaining the modeling of the Covid-19 disease and analyzing the data so that conclusions can be drawn on the spread of the population so that the spread can be stopped. The results of this event were that 85% of educators and students were able to take part in this socialization by being able to form and model in a simple way the formation of disease models both by analyzing data.

Transformasi Metode Pembelajaran di Era Digital

Siddik, Mohd, Nasution, Akmal, Lubis, Adi Prijuna, Handoko, Wiwin
Abstract: The educational approach in Indonesia, especially at Madrasah Tsanawiyah (MTs) Daarussalam, must respond to the challenges of globalization and rapid advances in information technology. This change requires a transformation… ion of the learning system from conventional methods that are oriented toward memorization to an educational model that is more interactive and relevant to the needs of the times. Critical, creative, and adaptable skills are a must for graduates to compete in the dynamic world of work. Integrating digital technology in learning, such as the use of AI-based learning tools and digital platforms such as ChatGPT, has the potential to increase student participation and provide a more individualized approach to teaching. In this context, MTs Darussalam is committed to carrying out transformation by increasing teachers' understanding of educational technology and implementing professional training. By implementing a collaborative and creative digital learning model, it is hoped that students can develop into critical thinkers and problem solvers ready to face future challenges. This transformation is not just a change in methods but an educational investment aimed at building competitive human resources in the global era.

Peningkatan Kualitas Pelayanan Pemandian Air Panas “Citra” Melalui Transformasi Digital Pengelolaan Pondok dan Kantin

Iqbal, Muhammad, Syahputra, Abdul Karim, Handoko, Wiwin
Abstract: Citra Teluk Sibayan Hot Springs is the first geothermal hot spring in Batubara Regency. The hot spring has gained recognition among the public and faces challenges in managing its canteen and lodges. The community service… e program aims to enhance service quality through digital transformation. The initiative is based on the need to improve operational efficiency and visitor satisfaction through technology. The method of the program consists of three phases: first, a needs analysis and design of a digital system for food ordering and lodge management. Second, the implementation of technology, including the development of an application, integration of a payment system, and installation of hardware. Third, staff training to ensure effective use of the system. The initial results of the program show improved record-keeping of canteen sales and visitor satisfaction. The digital payment system accelerates transactions, reduces errors, and streamlines sales tracking. Positive feedback from visitors and staff indicates a better experience and the potential for increased revenue. This program is expected to serve as a successful model for the application of digital technology in managing tourism facilities.

Analisis Kestabilan Model SVEI1I2R terhadap Pandemik Covid-19

Sisca Sri Dewi Saragih, Sariyani Kudadiri
Abstract: Covid-19 is a serious health problem that occurs globally, including in Indonesia. Mathematical modeling is one way to see how the spread of the Covid-19 pandemic is developing. The model used in this study is SVEI1I2R and… nd its stability will be seen. The article discusses the stability of fixed points using the Jacobian matrix and the Routh-Hurwitz criterion as well as the Castilo-Chaves and Song Theorems, reproduction numbers, and their numerical analysis. The results of the analysis show that the stability of fixed points is related to the basic reproduction number determined by the next-generation matrix, stability analysis in accordance with the theorem and the distribution of the population is shown in a numerical graph.

Pengaruh Model Group Investigation Terhadap Kemampuan Menulis Resensi Buku pada Siswa Kelas XI SMK

Syahfitri, Indah
Abstract: The purpose of this research is to determine the effect of using the Group Investigation model on the ability to write book reviews at XIth Class of SMK Taman Siswa Suka Damai. The population in this study are all XIth class… lass students, totaling 127 students. The sample in this research is XIth class Accounting which are taken using a simple random sampling technique totaling 22 students. The data collection technique uses a performance test in writing a book review. Based on the research results, at the pretest the average score obtained was 66.1 and at the posttest 90.31. The significant value obtained is greater than ttable, namely tcount > ttable, namely 80.7>1.68 and 80.7>2.41. This proves that Ho is rejected and Ha is accepted, namely that there is a significant influence from the use of the Group Investigation model on the ability to write book reviews in class.

Implementation Of Character Education Through The Implementation Of 5S Culture In Students At State Elementary School 232 Dampang

Uswatun Hasanah, Dyan Paramitha Darmayanti
Abstract: This anthropological study examines the implementation of the 5S culture (Senyum, Sapa, Salam, Sopan, Santun) as a mechanism for character education at State Elementary School 232 Dampang. Utilizing a qualitative ethnographic… aphic approach, this research investigates how daily cultural practices shape the moral values and behavioral patterns of students within the school ecosystem. Data were gathered through participant observation, in-depth interviews with teachers and students, and document analysis. The findings reveal that the 5S culture functions as a vital enculturation process, transforming abstract moral values into lived, daily habits. Teachers act as primary cultural models, fostering a respectful social environment. However, challenges persist, such as the social dissonance between the school's structured discipline and the students' varied external home environments. Ultimately, this study demonstrates that embedding repetitive cultural rituals within educational institutions effectively instills core values of empathy, respect, and social harmony, providing a sustainable model for early childhood character development.