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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 129 Documents
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Aplikasi Android Mendiagnosa Hama dan Penyakit Tanaman Bawang Merah Menggunakan Fuzzy Logic Kartini, Dwi Putri; Ariyanti, Dyah; Aprilia, Ira
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): 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.v9i2.6110

Abstract

The productivity of shallots in Indonesia from year to year is still low from maximum productivity, especially in Probolinggo district because it is caused by attacks of pests and diseases so often decreases the economic value and the quality of shallots. Lack of information for farmers, especially novice farmers on shallot plants, results in late countermeasures to prevent pest and disease attacks on shallots. For that, an application system is needed, namely an expert application system that can be implemented into machine language easily and efficiently by using Fuzzy Logic. The use of the Fuzzy Logic expert system can bridge machine language that is very precise with human language which tends to be not precise. In this study the logic used is fuzzy logic with the Sugeno method based on Android using the Java programming language by testing 16 expert data. From the results of testing this application system, researchers obtained an accuracy rate of 93.75% with details of 15 accurate data and 1 inaccurate data.
Penerapan Algoritma ID3 dan Algoritma C4.5 Untuk Klasifikasi Penerima BPNT Sholikhah, Minhatin Nisaatus; Rahmalia, Dinita; Pradana, Mohammad Syaiful
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): 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.v9i2.6111

Abstract

Non-Cash Food Assistance (BPNT) is social food assistance in the form of non-cash from the government which is given to Beneficiary Families (KPM) every month through an electronic account mechanism which is used only to buy food at traders or e-warongs. One of the difficulties that the government sometimes faces in distributing BPNT is that the distribution process is uneven and not on target. Therefore, it is necessary to carry out further analysis using a mathematical approach, so that we can determine the feasibility of a BPNT recipient prediction problem. Through the results of the data collection analysis, it can be seen whether residents are eligible to receive BPNT or not. Based on existing problems, a classification method is used to predict the eligibility of BPNT beneficiaries using two methods, namely the ID3 algorithm and the C4.5 algorithm. The ID3 algorithm produces an accuracy value of 90%, precision of 100%, and recall of 83.33%. The C4.5 algorithm produces an accuracy value of 80%, precision of 100%, and recall of 80%. The AUC/ROC value of the ID3 algorithm is 0.500, the classification is diagnosed in the AUC/ROC curve as failure or failure in classification. The C4.5 algorithm has an AUC/ROC value of 0.800, meaning that the classification is included in good classification. In this way, it can be concluded that the C4.5 algorithm has better results compared to the ID3 algorithm
Analisis Multiple Alignment Pada Penyebaran Epidemi Sars Cov E.G 5.1 Menggunakan Metode Neighbor - Joining Arta MS, Carly Marshanda; Amiroch, Siti; Rohmah, Awawin Mustana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): 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.v9i2.6296

Abstract

SARS CoV-2 merupakan suatu virus yang masih menjadi topik hangat di media dan sangat menarik untuk dikaji. Apalagi SARS CoV-2 semakin bermutasi dari waktu ke waktu dan memunculkan varian jenis baru. Akhir-akhir ini dunia kembali dihebohkan dengan munculnya varian SARS CoV-2 jenis baru yang bernama varian E.G 5.1 atau biasa disebut Eris. Di Indonesia, varian E.G 5.1 pertama kali dilaporkan di Provinsi Jakarta pada 09/03/2023. Berdasarkan hal tersebut, penulis ingin mengetahui proses penyebaran Epidemi SARS CoV E.G 5.1 yang terjadi di Indonesia dengan analisis Multiple Alignment. Analisis ini memiliki beberapa tahap antara lain, melakukan analisis sistem jaringan topologi, sistem jaringan daerah mutasi dan sistem jaringan mode mutasi, sehingga diperoleh pohon filogenetik menggunakan algoritma Neighbor-Joining yang digunakan untuk menentukan awal mula penyebaran virus. Data yang digunakan adalah data 92 sekuen DNA yang diperoleh melalui GISAID. Hasil dari analisis tersebut diperoleh awal mula penyebaran SARS CoV E.G 5.1 di Indonesia yang secara singkat berawal dari Jakarta 09/03/2023, kemudian menyebar ke Bogor 20/04/23, Medan 11/05/23, Surabaya 03/07/23, Bandung 24/10/23, Riau 07/12/23, dan terakhir menyebar di Provinsi Bali (Denpasar) pada tanggal 10/12/23 dan 11/12/23.
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.

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