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Unisda Journal of Mathematics and Computer Science (UJMC)
Published by Universitas Islam Darul Ulum
ISSN : 24603333     EISSN : 2579907X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics
Arjuna Subject : -
Articles 10 Documents
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Search results for , issue "Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science" : 10 Documents clear
Peramalan Harga Minyak Goreng Pada Masa Pemulihan Pandemi Covid-19 Di Pasar Kabupaten Blitar Swastika, Galuh Tyasing; Nada, Luthfi Qathrun; Sanwidi, Ardhi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.4121

Abstract

The impact of Covid-19 is still felt on the unstable economic sector in Indonesia, one of which is cooking oil where the price has soared. DISPERINDAG as a service that has duties, one of which is in monitoring and supervising the price of basic necessities, so knowing the prediction of the price of goods can make it easier for DISPERINDAG to carry out its duties in maintaining the stability of the price of basic necessities, especially those in the market. So the author is interested in researching the forecasting of cooking oil prices during this transition period with the single exponential smoothing method. The data used for the study is daily data on the price of cooking oil without brand in the Blitar Regency market for 426 days from August 1, 2021 - September 30, 2022 then the data can to predict the price of cooking oil in October 2022. The results of the study obtained an alpha value of 0.9 to be the smallest error value with an average MAPE of 7.41% and the predicted results of bulk cooking oil prices in the Blitar Regency market in October 2022 of Rp 12929.97/liter.
Peramalan Harga Emas Antam Menggunakan Metode Generalized Autoregressive Conditional Heterokedasticity (GARCH) Amri, Ihsan Fathoni; Astuti, Sofi Anggi; Sulistiya, Indah; Suherdi, Andri; Haris, M.Al
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.4679

Abstract

ANTAM gold is a long-term inflation-resistant investment instrument with a low-risk profile. Socio-economic conditions greatly influence gold price fluctuations, so gold price forecasting is very important for investors to understand the dynamic of changes in gold price. This study proposes the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) methods to model the forecasting of gold price fluctuations. The data used is ANTAM’s daily gold price data for the period June 2018 – June 2023. The results show that by using the best ARIMA (0,1,1) GARCH (2,1) model, the gold price forecasting results are in the price range of Rp 947.100.
Pengembangan Modul Desain Didaktis Materi Statistika pada Pembelajaran Matematika di kelas VIII Islamiyah, Tsuwaibatul; Mahmudah, Wilda
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6392

Abstract

This research aims to develop a didactical design module for statistical material that is valid, practical, and effective. The type of research used is R&D (Research and Development) with the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The instruments used are questionnaires regarding students' initial needs, teacher interview sheets, validation sheets, student response questionnaires, and learning outcomes tests. The results of the research show that the didactic design module for statistical material is valid in terms of material validity, obtaining an average score of 4.22 with "very good" criteria, and in terms of media validity, it obtained an average of 4.54 with "very good" criteria. The didactic design module developed was also stated to be practical in that students' responses obtained an average score of 4.8 with the criteria "very good". This module is also effective because a completion score percentage of 96% is obtained with very effective criteria.
Pengukuran Kualitas Pendidikan Kabupaten Sidoarjo pada Jenjang SMP dengan Structural Equation Modeling Fitriani, Fenny; Pramesti, Wara; Anuraga, Gangga
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6624

Abstract

The better the quality of education in a country, it can be considered that the quality of human resources in the country is qualified and can be a good development support for the country. However, there is a gap in education in Indonesia. This gap also occurs at a more regional scope such as districts/cities. One of the districts/cities experiencing education gaps is Sidoarjo district. This gap is thought to be influenced by differences in the factors that shape the quality of education in each school. Therefore, it is necessary to study how much influence each factor has on the quality of education. This article explores the quality of education in Sidoarjo district using structural equation modeling (SEM) at the junior high school level. The use of SEM is based on its ability to analyze two or more variables that cannot be measured directly. From the results of the analysis, it was found that infrastructure and socioeconomic factors have a significant effect on education quality. Infrastructure factors have a greater effect on the quality of education when compared to socioeconomic factors
Analisis Regresi Linier Berganda Untuk Memodelkan Faktor yang Mempengaruhi Nilai Penambahan Utang Tahunan Negara Indonesia Sulantari, Sulantari; Hariadi, Wigid; Putra, Eric Dwi; Anas, Aswar
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6631

Abstract

Indonesia is a one of developing country. After 79 years of independence, Indonesia is not yet free from debt. In 2023, Indonesia's total national debt will reach Rp. 8,144.69 trillion. The debt can cause economic problems in many debtor countries. Regression analysis is a statistical analysis that explains the relationship between the dependent variable (Y) and the independent variable (X). The author is interested in analyzing what factors influence the amount of the annual increase in Indonesia's debt. Using multiple linear regression analysis, the results show that the variables that influence the amount of the increase in Indonesia's national is a variable debt are the GDP growth (X1), variable the GDP value 1 year ago (X2), and variable the debt to GDP ratio 1 year ago (X3). The coefficient of determination (R2) value is 0.89, which means that 89% of the increase in Indonesia's national debt is influenced by variables variable debt are the GDP growth, variable the GDP value 1 year ago, and variable the debt to GDP ratio 1 year ago. The regression model formed is: Y = -60.489 (X1) + 0.046 (X2) + 592.738 (X3) + e. Keywords: Weighted Moving Average, WMA, Inflation. Abstrak. Negara Indonesia merupakan salah satu negara berkembang. setelah 79 tahun merdeka, Indonesia belum lepas dari hutang. Tahun 2023, total utang negara Indonesia mencapai Rp. 8.144,69 triliun. Utang dapat menimbulkan permasalahan ekonomi pada banyak negara debitur. Analisis regresi adalah suatu analisa statistika yang menjelaskan hubungan antara variabel terikat (Y) dan variabel bebas (X). penulis tertarik untuk menganlisis faktor apa saja yang mempengaruhi besaran nilai penambahan hutang tahunan negara Indonesia. Menggunakan analsisi regresi linier berganda, diperoleh hasil bahwa Variabel yang berpengaruh terhadap besar penambahan hutang Negara Indonesia adalah variabel pertumbuhan PDB (X1), variabel nilai PDB 1 tahun yang lalu (X2), dan variabel rasio utang terhadap PDB 1 tahun yang lalu (X3). Nilai koefisien determinasi (R2) sebesar 0.89 yang berarti bahwa sebesar 89% besar penambahan hutang Negara Indonesia dipengaruhi oleh variabel X1, X2, dan X3. Model regresi yang terbentuk adalah: Y = -60.489 (X1) + 0.046 (X2) + 592.738 (X3) + e . Kata kunci: Analisis Regresi, Berganda, Utang Indonesia.
Analisis Data Hubungan Antar Variabel Pada Pengetahuan Swamedikasi Mustofani, Dian; Hariyani, Hariyani; Afif, Ahmad; Oktaviasari, Dianti Ias; Ariadhita, Bagus Yuli
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6701

Abstract

Linear regression is a data analysis method that is for determine relation on the variables. One of the uses of this analysis is that can used to determine which independent variable policies should be increased or decreased. Regression analysis has two types, that is name simple linear regression analysis and multiple linear regression analysis. This research discusses the use of multiple linear regression analysis to determine which independent variables influence mothers' self-medication knowledge in treating fever in children, with known three independent variables and one dependent variable. The regression analysis in this research shows that the mother's education level has an influence on self-medication knowledge with a percentage influence value of 27.9%.
Application of Naïve Bayes Algorithm for Diabetes Prediction Salsabila, Laili Najla; Dwi Pangga, Muhamad Riyo; Yasser, Syahrul Mauhub; Riyani, Nabila Arin; Aminah, Siti; Wahyunengsih, Wahyunengsih
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6886

Abstract

Diabetes is a chronic disease that is considered a significant health problem worldwide. Early detection and prediction of diabetes is a crucial step to enable early intervention and prevent complications. This study aims to apply the Naïve Bayes algorithm in predicting the probability of someone having diabetes. The dataset used in the study was obtained from the National Institute of Diabetes and Digestive and Kidney Diseases. Attributes such as gender, age, body mass index, glucose level, and others were used as independent variables in the Naïve Bayes algorithm to classify them into two groups: having or not having diabetes. From the research results, it has been shown that the Naïve Bayes algorithm can produce a prediction accuracy of 84.6%, 82.3% precision, and 60.8% recall.
Model Petri Net Alur Pelayanan Resep Rumah Sakit X di Kota Malang Pertiwi, Ruvita Iffahtur; Octavianti, Cynthia Tri
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6891

Abstract

The phenomenon of queues that we often see is hospital service queues. Considering the current unpredictable weather, many patients are seeking treatment at hospitals. Queues at hospitals occur not only during the registration and doctor's examination processes but also while waiting for medication. This article will model the general patient prescription service system at X hospital in Malang City. The goal is to understand how the service sistem works, which will be modeled using Petri nets. Petri nets are discrete event systems that can model queues. In this study, 11 places and 11 transitions were obtained after modifying the flow to save waiting time. It is hoped that this research will be one of the considerations to improve services, especially for general patient prescription services, so that patients do not have to wait too long to receive their medication. A system or application is needed between the hospital pharmacy and the examining doctor so that prescriptions can be confirmed in real-time. The petri net model was simulated using Petri Net Simulator. The resulting Petri net model is also represented in forward, backward, and incidence matrices to obtain its max-plus algebra for further research
Model Antrian Servis Handphone Menggunakan Petri Net dan Aljabar Max-Plus Afif, Ahmad
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.6971

Abstract

The development of information and communication technology has made communication unlimited by distance and time. One of the latest information and communication technologies that has been developed is handphones. People's dependence on handphones cannot be prevented because of the high activity of handphones, which used to be just a more complex means of communication nowadays, that is, as a media of information and help learning up to work. Problems arise when the handphones are damaged. Consumers' ignorance of service procedures and wait times for handphone service has caused consumers to be lazy with handphone services. In order to solve the problems that occurred, built a model petri net that describes the handphone service frontline with the approach of algebra modeling max-plus to determine the length of each consumer performing the frontline and time arrival of every consumer leaving the service. Petri net model on the system of handphone services there are 9 places and 11 transitions. Whereas the results of modeling the max-plus algebra obtained the matrix equation to estimate the service time and the duration of the process service handphone service until completed.
Pengelompokan Jumlah Wisatawan Nusantara Menggunakan Fuzzy Learning Vector Quantization Fauzan, Fauzan; Yulianto, Tony; Faisol, Faisol; Yudistira, Ira; ku, Kuzairi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.7277

Abstract

Tourism is a variety of tourist activities and support from facilities and services provided by interested parties, such as the community, entrepreneurs and the goverment. Tourists are people who visit a destination outside of their daily activities within a certain period of time. There are several provinces that are classified as having minimal tourists, so they require government evaluation in providing good services in order to increase tourists in terenst in provinces that are classified as having minimal tourists. Therefore, to group the number of tourists, research will be carried out using a combination of data mining and fuzzy logic, namely the fuzzy learning vector quantization method. The research results obtained: For Euclidean Distance, there are 10 provinces in cluster 1 and there are 24 provinces in cluster 2. For squareeuclidean distance, there are 32 provinces in cluster 1 and there are 2 provinces in cluster 2. For city block distance there is 1 province which is included in cluster 1 and there are 33 provinces which are included in cluster 2. For the Chebychev distance there are 10 provinces which are included in cluster 1 and there are 24 provinces which are included in cluster 2. The final result which was chosen as the best is Euclidean however after checking the validity method it is in the formula squareeuclidean with value of PC= 8.32165E+26, CE=-8.94064E+14, and IFV= -1.4892E+13

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