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Analisis peramalan data kekeringan lahan pertanian di kabupaten lamongan menggunakan metode Fuzzy Time Series-Markov Chain
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
The agricultural sector in Lamongan Regency is severely affected by the threat of drought, potentially affecting food production and farmers' welfare. This study aims to forecast the area of agricultural drought with a very severe category in Lamongan Regency using the Fuzzy Time Series-Markov Chain (FTS-MC) method. The data used includes the average drought area based on the processing of Landsat 8 imagery from 2020–2024, rainfall data, and historical drought data from the Regional Disaster Man...
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Ethnomathematics on theme P5 local wisdom at SMP 3 Satu Atap Gebog
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
This study aims to examine the ethnomathematics values in the theme of the P5 activities of SMP 3 Satu Atap Gebog, which has the theme of local wisdom. The researcher conducted the research at SMP 3 Satu Atap Gebog, located in Rahwatu Village, Gebog District, Kudus Regency. The theme of local wisdom in P5 at SMP 3 Satu Atap Gebog is the Bodo Contong tradition, which is typical of the culture in Rahtawu Village, Kudus Regency. The research was conducted as a type of qualitative research. The anal...
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Penerapan metode radial basis function neural network dalam memprediksi curah hujan
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
North Tapanuli Regency is highly vulnerable to natural disasters such as floods and landslides due to high rainfall intensity and complex geographical conditions. To anticipate these risks, this study aims to predict rainfall using the Radial Basis Function Neural Network (RBFNN) method. The number of nodes in the input layerwas determined based on significant lags identified in the Partial Autocorrelation Function (PACF) plot. The hidden layerwas constructed using the K-Means clustering method...
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Pengaruh Word Of Mouth, Citra Merek, dan Brand Ambassador Terhadap Kepuasan Konsumen Pada Produk Le Minerale
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 3
, No 3
(2025)
This study aims to analyze the effect of Word of Mouth (WOM), brand image, and brand ambassador on consumer satisfaction with Le Minerale in Wonodadi District, Blitar Regency. A quantitative approach with a descriptive design was applied. The study involved 128 respondents selected through accidental sampling. The research instrument was a four-point Likert scale questionnaire tested for validity and reliability before use. Data were analyzed using SPSS version 27, including validity and reliabi...
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Implementation Science Practical at SMP Negeri 1 Sambi, Boyolali, Indonesia
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
Low frequency and minimal practicum facilities have become the main problems in the implementation of science learning at SMP Negeri 1 Sambi, Boyolali. According to the Minister of National Education Regulation Number 24 of 2007, the learning process requires facilities and infrastructure that support optimal implementation. The benefits of science practicum include increasing students’ motivation to learn science and providing opportunities for them to satisfy their curiosity through scientific...
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Exploration of Differences In Students Creative Thinking Abilities Viewed from Perspective Gender and Domicile: Rasch Model Analysis
JOURNAL OF BIOLOGY LEARNING
Vol 7
, No 2
(2025)
The purpose of this study was to explore differences in students creative thinking abilities based on gender and domicile. The research method used was descriptive quantitative. Sampling used proportional random sampling technique at Public Junior High Schools in South Konawe Regency. The research instrument used a creative thinking test as primary data. The data analysis technique used the winsteps program with scalogram analysis. The results showed that female students tended to be superior in...
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Sistem Prediksi Penggunaan Bahan Baku Berbasis Odoo pada UMKM Permak dan Jahit Hafizh menggunakan Metode Least Square
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Micro, Small, and Medium Enterprises (MSMEs) play a significant role in economic development, especially in developing countries like Indonesia. In addition to supporting the economy, MSMEs help alleviate unemployment. Hafizh Permak and Jahit, an MSME in Semarang City, faces challenges in managing raw material usage, which can increase production costs and the risk of overstocking or understocking. This study aims to develop a web-based raw material usage prediction system using Odoo and the lea...
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Pengaruh Konten YouTube terhadap Penerimaan Mahasiswa Baru: Studi Analisis Sentimen BERT dan Korelasi Spearman
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
This study aims to analyze the relationship between the number of videos, views, positive comments, negative comments, and neutral comments with the number of new students at higher education institutions during 2021–2024. The data were obtained from three sources: (1) quantitative data on the number of new students from LLDIKTI, (2) data on the number of videos and views from YouTube, and (3) sentiment data from comments classified using the BERT algorithm into positive, negative, and neutral c...
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Model Klasifikasi Emosi Berbasis Teks dengan Algoritma Decision Tree dan Support Vector Machine
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Text-based communication has become a key means of interaction across various sectors. Previous studies have applied supervised learning algorithms to emotion classification in text. These studies used different datasets, but this diversity also introduced a risk of overfitting in text-based emotion classification models. Consequently, the use of cross-validation and hyperparameter optimization is required to ensure the model’s generalization ability. The aim of this research is to compare the p...
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Implementasi Algoritma K-Nearest Neighbor Dalam Prediksi Penyakit Jantung
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Heart failure is a serious and pressing health problem that affects millions of people worldwide. Several factors influence the occurrence of heart failure, such as age, type of pain, blood pressure, cholesterol levels, and other risk factors associated with heart disease. With current technological developments, data mining and machine learning can be used to predict patient health conditions. Therefore, the problem of this research is how to implement data mining techniques for identifying hea...
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