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All Journal CESS (Journal of Computer Engineering, System and Science) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer G-Tech : Jurnal Teknologi Terapan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Asimetris: Pendidikan Matematika dan Sains Journal of Information Technology (JIfoTech) Advance Sustainable Science, Engineering and Technology (ASSET)
Rina Widyasari
Universitas Islam Negeri Sumatera Utara
Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Physics

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Implementasi Metode Promethee dalam Penentuan Penerima Bantuan Zakat pada Mahasiswa Rima Aprilia; Rina Widyasari
CESS (Journal of Computer Engineering, System and Science) Vol 6, No 2 (2021): Juli 2021
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.462 KB) | DOI: 10.24114/cess.v6i2.22878

Abstract

During the payment of a single tuition fee (UKT) every semester, students are always faced with the problem of outstanding students but unable to pay tuition fees. Therefore, the university provides a solution to give zakat obtained from lecturers to outstanding and underprivileged students through the selection process. So far, the student selection process is still done manually, not using a system or program. So that the distribution of educational aid recipients (zakat) is considered not on target. This will certainly be a continuous problem of injustice, especially now that we have entered the digital era 4.0, all processes use a digital system. The provision of educational fund assistance in the form of zakat must be based on established rules, in this case the rules are in the form of established criteria, namely student IP, parental income, number of siblings, number of dependents of parents, semester, and others. The purpose of this study is to test whether the Promethee method is a method that can solve these problems. In addition, this research also forms a flow chart for selecting recipients of educational assistance using the Promethee method. The results of this study indicate that the problem of determining recipients of zakat assistance by students can be solved using the PROMETHEE method. Promethee (Preference Ranking Organization for Enrichment Evaluation), This method is appropriate for determining recipients of zakat assistance.
Algorithm Symmetric 2-DLDA for Recognizing Handwritten Capital Letters Ismail Husein; Rina Widyasari
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.56 KB) | DOI: 10.30812/matrik.v21i2.1254

Abstract

Statistical pattern recognition is the process of using statistical techniques to obtain information and make informed decisions based on data measurements. It is possible to solve the doubt inherent in the objective function of the 2-Dimension Linear Discriminant Analysis by employing the symmetrical 2-Dimension Linear Discriminant Analysis approach. Symmetrical 2-dimensional linear discriminant analysis has found widespread use as a method of introducing handwritten capital letters. Symmetric 2-DLDA, according to Symmetric 2-DLDA, produces better and more accurate results than Symmetric 2-DLDA. So far, pattern recognition has been based solely on computer knowledge, with no connection to statistical measurements, such as data variation and Euclidean distance, particularly in symmetrical images. As a result, the aim of this research is to create algorithms for recognizing capital letter patterns in a wide range of handwriting. The ADL2-D symmetric method is used in this study as the development of the ADL2-D method. The research results in an algorithm that considers the left and right sides of the image matrix, as opposed to ADL2-D, which does not consider the left and right sides of the image matrix. In pattern recognition, the results with symmetric ADL2-D are more accurate
Optimasi Pemasangan Jalur Pipa Air Bersih Melalui Minimum Spanning Tree Dengan Algoritma Prim Rina Filia Sari; Rina Widyasari; Fithria Aidra Marpaung
G-Tech: Jurnal Teknologi Terapan Vol 7 No 1 (2023): G-Tech, Vol. 7 No. 1 Januari 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.564 KB) | DOI: 10.33379/gtech.v7i1.1819

Abstract

Water is a very important need for human survival, without water there will be no life on earth. Because of the importance of the need for clean water, it’s natural if the clean water sector gets priority main handling because it involves the lives of many people. There are many ways to get clean water, one of which is by installing the pipes of clean water will be done in Kwala Air Hitam Village. The issue of pipe installation this clean water can be overcome through the Minimum Spanning Tree approach pipe installation can be more optimal. Search for the Minimum Spanning Tree using the prim algorithm manually. The research aims to get a minimum cost of installation of clean water pipes through Minimum Spanning Tree uses Prim Algorithm. The Prim Algorithm is a algorithm in the graph theory to find a minimal range tree for a graph which is connected to each other. In the results of research the Minimum Spanning Tree using the Prim Algorithm manually is obtained in total the length of the pipe which will be installed is 9.806 metres with 52 points and 56 sides. And the first graph had 52 points and 59 sides with a length of the pipes are 9.969 metres. So, the minimum fee amount Rp. 1.732.850.000 (one billion seven hundred thirty two million eight hundred fifty thousand rupiahs).
PENERAPAN METODE MARKOV CHAIN ANALYSIS DALAM MEMPREDIKSI TINGKAT ELEKTABILITAS CALON PRESIDEN 2024 MELALUI TAGAR SOSIAL MEDIA DAN GOOGLE TRENDS Mei Sarah Siregar; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.389

Abstract

To summarize the findings of the research on the prediction of electability for potential presidential candidates in the 2024 election using the Markov chain method, the study found the following results: For social media hashtags: Anies Baswedan: 0.404817, Ganjar Pranowo: 0.218493, Prabowo Subianto: 0.158993, Erick Thohir: 0.217697 For Google Trends: Anies Baswedan: 0.473078, Ganjar Pranowo: 0.328017, Prabowo Subianto: 0.128324, Erick Thohir: 0.070581 These results indicate that Anies Baswedan has the highest predicted electability based on both social media hashtags and Google Trends. Ganjar Pranowo ranks second in both categories. However, in terms of social media hashtags, Erick Thohir has a significantly higher electability than Prabowo Subianto, while in Google Trends, Prabowo Subianto has a slightly higher electability than Erick Thohir. It is important to note that these predictions may change over time as more data becomes available. Therefore, continuous calculations using the Markov chain method are necessary to update the predictions of presidential candidates' electability
PREDIKSI JUMLAH PEMAKAIAN AIR BERSIH MENGGUNAKAN METODE HYBRID SINGULAR SPECTRUM ANALYSIS (SSA) DAN SARIMA DI PDAM TIRTANADI SIBOLANGIT Sophia Salsalina; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.405

Abstract

Clean water is one of the basic human needs that is needed on an ongoing basis. Water has an important role in human life. As the population increases, the use of clean water also increases, resulting in the need for demand for the availability of clean water to continue to increase, this is explained by data from the Central Statistics Agency (2022) that the population growth rate in Sibolangit District from 2021-2022 is 0.25% and that This is also explained by data on the amount of clean water consumption by PDAM Tirtanadi Sibolangit which has increased by 6.5%. The purpose of this study is to apply the SSA-SARIMA hybrid model to predict the amount of clean water consumption in the coming period at PDAM Tirtandi Sibolangit so that there is no shortage and wastage of clean water. Hybrid SSA-SARIMA is a combination of two data analysis methods that take advantage of the advantages of each method, namely Singular Spectrum Analysis (SSA) and Seasonal Autoregressive Moving Average (SARIMA). SSA is a technique used to separate signals into periodic and non-periodic components while SARIMA is used to model time series data with trend and seasonal patterns and make predictions for future periods. SARIMA cannot separate periodic and non-periodic signals in data like SSA did. The data used in this study is monthly data on clean water usage from January 2018 to December 2022. The prediction results for the amount of clean water consumption in PDAM Tirtanadi Sibolangit in 2024 use the SSA-SARIMA(1,1,0)(1,0,0) hybrid model. )12 experienced a decrease in the use of clean water with a level of forecasting accuracy having a MAPE value of 6.920446%.
PERAMALAN HARGA CRUDE OIL MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM) DALAM RECURRENT NEURAL NETWORK (RNN) Syahira Rahmadhani Siregar; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.421

Abstract

Crude oil or petroleum is a very important requirement in meeting world energy consumption. Every country definitely needs a supply of petroleum to fulfill their needs. Fluctuations in oil prices are always considered as a barometer of the economy throughout the world, so any change in oil prices is always an interesting topic to be discussed in the economic environment in every country. Therefore it is necessary to predict the price of petroleum, while the method used to predict oil prices is the Long Short Term Memory method, this study aims to predict future crude oil prices based on historical data using the Long Short Term Memory method, knowing the accuracy Forecasting crude oil prices and increasing market efficiency to be more efficient in allocating resources and in this study resulted in an RMSE accuracy of 2,665 and 2.7% Mape for data starting in 2018-2023, while for data for 2020-2023 it produces an RMSE accuracy of 2,630 and MAPE is 2.9%.
Pengklasifikasian Variabel-Variabel Yang Mempengaruhi Terjadinya Stunting di Kota Medan dengan Metode Chi-Square Automatic Interaction Detection (CHAID) Fibri Rakhmawati; Mei Yunina Arianti; Rina Widyasari; Hendra Cipta
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol 4 No 2 (2023): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v4i2.2303

Abstract

Tujuan penelitian ini adalah pengklasifikasian dan menganalisis faktor mana yang sangat berepengaruh terhadap kejadian stunting di Kota Medan menggunakan metode CHAID. Metode CHAID ini bekerja dengan mengidentifikasi hubungan antara variabel dependen dan independen lalu menggunakan hubungan ini untuk mengklasifikasikan sampel. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh pada kejadian stunting terhadap bayi usia 24-59 bulan di Kota Medan berdasarkan hasil analisis metode CHAID adalah Riwayat Pemerian ASI Eksklusif dan Sanitasi. Dari hasil analisis metode CHAID diperoleh tiga pengklasifikasian berbeda yaitu: (1) Bayi usia 24-59 bulan yang mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi tidak layak sebesar 66,7%. (2) Bayi usia 24-59 bulan yang mengalami stunting adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi layak sebesar 25% dan (3) Bayi usia 24-59 bulan yang tidak mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif diberikan 23%. Sehingga hasil temuan penelitian ini diharapkan memberikan masukan kepada pihak terkait dalam mengantisipasi terjadinya kasus stunting dengan mengklasifikasi factor-faktor mana saja yang sangat mempengaruhi kasus stunting ini.  
PENERAPAN POISSON INVERSE GAUSSIAN REGRESSION UNTUK MEMODELKAN LAMA RAWAT INAP PASIEN DEMAM BERDARAH DENGUE (DBD) UPTDK. RSU. HAJI MEDAN PEMERINTAHAN PROVINSI SUMATERA UTARA Khairul Purqon; Rina Widyasari; Ismail Husein
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.559

Abstract

Dengue fever is one of the dangerous diseases that can threaten human life if not treated seriously. Dengue hemorrhagic fever is one of the health problems that exist in the community where the number of sufferers tends to increase and the spread is very wide. Dengue hemorrhagic fever (DHF) is a disease caused by infection with the DEN-1, DEN-2, DEN-3 or DEN-4 viruses transmitted to the bite of Aedes aegypti and Aedes Albopictus mosquitoes before it was infected by the dengue virus by dengue sufferers. Aedes aegypti mosquitoes become more infective for 8-12 days after sucking blood from dengue patients before. However, for now only researchers take only a few factors that make the length of stay of dengue patients in UPTDK. RSU. Hajj Medan Government of North Sumtera Province. In this study, the independent variables used were Patient Age Value (),  Platelet value (), Leukocyte value (),  and Hemoglobin value () in UPTDK. RSU. Haji Medan Government of North Sumtera Province using Poisson Inverse Gaussian Regression (PIGR). Poisson Inverse Gaussian Regression (PIGR) is a form of regression from mixed poisson designed on enumeration data with overdispersion cases. Therefore, research using the Poisson Inverse Gaussian Regression method can be carried out. The Poisson Inverse Gaussian Regression model formed is  with a very significant influential variable is the Leukocyte value
PENDEKATAN REGRESI LOGISTIK BINER DAN REGRESI LOGISTIK BERSTRUKTUR POHON DALAM ANALISIS DIAGNOSIS KANKER PAYUDARA Mutiah Nasution; Rina Filia Sari; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.566

Abstract

The purpose of this research is to determine the factors that have a significant effect on the types of malignant and benign breast cancer using the binary logistic regression approach and classify the factors that have a significant effect on the types of malignant and benign breast cancer using the regression method. tree-structured logistics on breast cancer data from H. Adam Malik Hospital Medan 2021. This research is a type of applied research by collecting secondary data from the H Adam Malik General Hospital Medan. The research variables used are the response variable (Y) and the predictor variable (X). In the response variable there are also two categories, namely benign breast cancer patients and malignant breast cancer patients. While the predictor variables in this study were age, age at menarche, age at menopause, age at parity, use of hormonal contraception, genetics, number of children, breastfeeding period, and mammary fibroadenosis. This study uses the binary logistic regression method because it is a good method in determining factors. In addition, the tree-structured logistic regression method is also used because it is a good method in determining factor classification with a good level of accuracy for all data. These two methods can make it easier for researchers to calculate and determine the factors that have a significant effect on the type of malignant breast cancer and benign breast cancer using all the available variables. The results of this study obtained an accuracy value of 94% for the binary logistic regression method and 97.74% for the tree-structured logistic regression method. Because it has an accuracy value of almost 100%, this means that the binary logistic regression method and tree-structured logical regression applied to this research problem are good enough
ANALISIS REGRESI LOGISTIK MULTINOMIAL DALAM ESTIMASI PARAMETER KRITIS INDEKS STANDAR PENCEMAR UDARA Rahmadita Pratiwi; Rina Widyasari; Muhammad Fathonni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.588

Abstract

The Air Pollutant Standard Index contains parameters monitored daily, one of which is the critical parameter with the highest pollutant rating among other parameters. The air critical parameters used as dependent variables consist of four categories, namely Carbon Monoxide (????????), Particulate Matter (????????10), Sulfur Dioxide (????????2), and Ozone (????3). In this research, Carbon Monoxide (????????) used as the comparison category and results obtained are variables that affect the Particulate Matter (????????10) category is the air temperature variable with category 0. In the Sulfur Dioxide (????????2) category, the influential variable is wind speed with category 0. And the last category Ozone (????3) influences more independent variables, namely the rainfall variable with category 0, the wind speed type variable with category 0, and air humidity with category 0. The resulting classification accuracy value is quite low at 53%, so it is clear that the classification of the critical parameters of air pollution index is not feasible
Co-Authors Chairina Chairina Chindy Aulia Putri Fithria Aidra Marpaung Hendra Cipta Ismail Husein, Ismail Khairul Purqon Mei Sarah Siregar Mei Yunina Arianti Muhammad Fathonni Mutiah Nasution Rahmadita Pratiwi Rakhmawati, Fibri Rima Aprilia Rina Filia Sari Siregar, Machrani Adi Putri Sophia Salsalina Syahira Rahmadhani Siregar