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All Journal Jurnal Daya Matematis Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika Justek : Jurnal Sains Dan Teknologi Zero : Jurnal Sains, Matematika, dan Terapan AXIOM : Jurnal Pendidikan dan Matematika ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) JCRS (Journal of Community Research and Service) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Varian Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Math-UMB.EDU Journal of Information Technology (JIfoTech) Leibniz: Jurnal Matematika Jurnal IPTEK Bagi Masyarakat Jurnal Pijar MIPA Jurnal MathEducation Nusantara Journal of Mathematics Instruction, Social Research and Opinion Bulletin of Applied Mathematics and Mathematics Education Euclid Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang LOKAKARYA Jurnal Penelitian Pendidikan MIPA Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Jurnal Pengabdian Masyarakat dan Riset Pendidikan Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Relevan : Jurnal Pendidikan Matematika Media Pendidikan Matematika
Siregar, Machrani Adi Putri
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Penerapan Metode Smote Extreme Gradient Boosting Untuk Klasifikasi Penyakit Kanker Serviks Di Kota Medan Debi Anggitasyah; Machrani Adi Putri Siregar
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i2.1479

Abstract

Cervical cancer or often referred to as cervical cancer is a cancer that forms cervical tissue, cases of cervical cancer occur every year, making it the number 2 killer in Indonesia. This is very concerning considering that cervical cancer is one of the cancers that can be prevented early on but is very difficult to detect. Therefore, a classification is needed for prevention detection, the problem in classification is the classification of unbalanced data where the distribution of samples in all known classes of observations does not have the same proportions. The purpose of this study was to determine the application and results of the accuracy of the Smote Extreme Gradient Boosting method in classifying cervical cancer in hospitals. Dr. Pirngadi, Medan City. This research is a quantitative research, using the smote extreme gradient method. This study found 69 cases of cervical cancer classified using the XGBOOST algorithm and the Smote algorithm as a data imbalance problem solver which is a very good solution because the results of the accuracy of the Area Under Cover (AUC) Smote extreme gradient boosting method yield a value of 1.00% which is classified as the best classification. Keywords: Binary Classification; SmoteXgboot; Area Under Cover; Matrix; Variables AbstrakKanker serviks atau sering disebut dengan kanker leher rahim merupakan kanker yang membentuk jaringan leher rahim, kasus kanker serviks terjadi setiap tahunnya, menjadikannya pembunuh nomor 2 di Indonesia. Hal ini sangat memprihatinkan mengingat kanker serviks merupakan salah satu kanker yang dapat dicegah sejak dini tetapi sangat sulit dideteksi keberadaannya. Oleh karena itu diperlukan klasifikasi untuk deteksi pencegahannya, permasalahan dalam klasifikasi adalah klasifikasi data yang tidak seimbang dimana sebaran sampel pada semua kelas pengamatan yang diketahui tidak memiliki proporsi yang sama. Tujuan penelitian ini adalah untuk mengetahui penerapan dan hasil keakuratan metode Smote Extreme Gradient Boosting dalam mengklasifikasi penyakit kanker serviks di RSUD. Dr. Pirngadi Kota Medan. Penelitian ini merupakan penelitian kuantitatif, menggunakan metode smote extreme gradient.  Penelitian ini didapatkan 69 kasus kanker serviks yang diklasifikasikan menggunakan algoritme XGBOOST dan algoritme Smote sebagai pemecah masalah ketidakseimbangan data sangat menjadi solusi karena pada hasil tingkat keakuratan Area Under Cover (AUC) metode Smote extreme gradient boosting menghasilkan nilai 1.00% yang mana klasifikasi tergolong dalam klasifikasi terbaik. 
ANALISIS KLASTER MENGGUNAKAN METODE HIERARKI UNTUK PENGELOMPOKKAN PENGELUARAN PERKAPITA RUMAH TANGGA DI SUMATERA UTARA Raidhatul Ilmi; Machrani Adi Putri Siregar; Silvia Harleni
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.56

Abstract

Capita household expenditure is the cost incurred for the consumption of all family members for a month divided by the number of family members adjusted for purchasing power parity. It is necessary to pay attention to the factors that affect the level of household expenditure. Several factors that affect household expenditure are divided into two parts, namely food and non-food expenditure. Household expenditure in each region has different characteristics, therefore it is necessary to group regions so that solutions can be implemented according to each region's characteristics. The purpose of this research is to classify districts/cities in North Sumatra based on the factors that influence per capita household spending in each region using cluster analysis based on the single linkage and complete linkage methods. Cluster analysis is grouping into clusters so that the objects in the cluster are more similar to one another than the objects in other clusters. From the results of cluster analysis using the single linkage and complete linkage methods, it shows that there are four Regency/City groups that are combined based on each factor that influences household per capita expenditure
ANALISIS DAN SIMULASI MODEL SUSCEPTIBLE INFECTIVE TREATMENT RECOVERY PADA PENYEBARAN PENYAKIT MALARIA DI KOTA MEDAN Eka Yusnita; Machrani Adi Putri Siregar
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.v4i2.407

Abstract

Malaria is an infectious disease caused by plasmodium, which is a single-celled living creature belonging to the group of protozoan parasites, malaria is transmitted through the bite of a female Anopheles mosquito containing plasmodium in it. Plasmodium carried through mosquito bites will live and reproduce in human red blood cells. This disease attacks all age groups, both men and women. People who are exposed to malaria will have symptoms of fever, chills, sweats, headaches, nausea or vomiting. Patients who show clinical symptoms must undergo laboratory tests to confirm their positive malaria status. The purpose of this study was to determine the model of the spread of Malaria and to analyze the stability of the model of Malaria. This study uses the SITR mathematical model which involves 4 population compartments, namely Susceptible (S), Invective (I), Treatment (T), Recovery (R). The data used is secondary data obtained from the Medan City Health Office through the Medan City Health Office. From this study, the SITR mathematical model was obtained, two equilibrium points, namely the point of disease and endemic from the SITR model with a basic Reproductive value of = 0, 2693449588 or  < 1. The greater the basic reproduction number, the more likely it is that malaria will spread, but the more the smaller the basic reproduction number, the smaller the chance for malaria to spread and will gradually disappear
ANALISIS PADA FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI SUMATERA UTARA MENGGUNAKAN SPATIAL DURBIN MODEL Ayu Lestari; Machrani Adi Puteri Siregar; R Maisaroh Rezykiyah Siregar
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.v5i1.570

Abstract

The Human Development Index (HDI) is one of the important indicators in development. Some of the factors that influence the Development Index in North Sumatra in 2021 are the percentage of toddlers who have received measles immunization, the percentage of the population who have health complaints during the last month, the percentage of the population who have health insurance BPJS contributions, the percentage of the population who are still in school with the age group 7-15 years, the percentage of pure high school enrollment rate, the percentage of poor people, the percentage of labor force participation rate of the population aged 15 years and over, and the percentage of open unemployment rate of the population aged 15 years and over. The purpose of this study is to determine the factors that have a significant effect on the Human Development Index in North Sumatra. In this study using Spatial Durbin Model (SDM) which is a special case of Spatial Autoregressive (SAR) by adding the effect of lag on the independent variable so that spatial lag is added to the model, weighting is done on the independent and dependent variables. The results obtained show that the factors that have a significant effect on the Human Development Index (HDI) in North Sumatra in 2021 are the percentage of the population who are still in school with the age group 7-15 years (X4), the percentage of the Pure High School Enrollment Rate (X5), the Percentage of Labor Force Participation Rate of Population 15 Years and Over (X8).
PENGARUH MODEL PEMBELAJARAN GUIDED DISCOVERY LEARNING TERHADAP KEMAMPUAN PENALARAN MATEMATIS DAN DAYA JUANG SISWA Nurhalizah, Siti; Siregar, Machrani Adi Putri
JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Vol 10, No 1 (2024)
Publisher : Universitas Bhinneka PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jp2m.v10i1.6309

Abstract

The quality of a nation's education and the current education system can be used to measure the nation's progress. The quality of education in Indonesia is currently very concerning. Upon observation, researchers stated that students lack the fighting spirit needed to overcome various challenges. Fighting power plays an important role in this. This study used qualitative research methods. The sample of this study consisted of all students of class X Accounting of SMKN 1 Sei Bejangkar. Pre-Experiment Design with One-Group Pretest-Posttest Design model was used in this study. Based on the research findings and discussion of the impact of guided discovery learning model on mathematical reasoning ability and students' fighting power on the material of function relation in class X Accounting of SMKN 1 Sei Bejangkar, it can be concluded that there is a good influence in the use of guided discovey learning model on mathematical reasoning ability and students' fighting power.
Metode Autoregressive Integrated Moving Average (Arima) dalam Memprediksi Jumlah Penumpang Kereta Api Kota Binjai Queenty Dhea Haura Br Sitepu; Sutarman Sutarman; Machrani Adi Putri Siregar
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 2 No. 2 (2024): April : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v2i2.621

Abstract

The importance of land transportation services such as PT. Indonesian Railways are increasing among the public lately, especially in Binjai City. Therefore, this study aims to try to model and forecast the number of passengers of PT. Indonesian Railways in the region. In this study, the Autoregressive Integrated Moving Average (ARIMA) model was used which has proven effective. For research in Binjai City, the ARIMA(1,1,1) model showed good results. The data used in this study includes the number of passengers of PT. Binjai City Railway from January 2022 to December 2022. The forecasting accuracy rate was evaluated using MAPE (Mean Absolute Percentage Error), which reached a value of 4.437%. This figure shows that forecasting has an error rate of less than 10%, so it can be categorized as excellent forecasting. The results of this study provide valuable insights for PT. Binjai City Railway to plan resources and optimize their passenger services. However, further research can still be done to improve forecasting methods and expand the reach of research to other regions.
Pengaruh Penggunaan Aplikasi Desmos Graphing Calculator Terhadap Kemampuan Pemahaman Konsep Matematis Siswa Durriah Hasibuan; Asrul Asrul; Machrani Adi Putri Siregar
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 2 No. 5 (2024): Oktober : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v2i5.1177

Abstract

The research that has been conducted is entitled "The Effect of the Use of Desmos Graphing Calculator Application on Students' Ability to Understand Mathematical Concepts" which is based on the background that students' ability to understand mathematical concepts is obtained information that it is not optimal so that students do not master the material well. The methodology of this study uses a quantitative type of quasi-experimental research with a posttest test in two classes. The population of this study is all class X students at PAB 1 Medan Estate Private High School with a total of 48 people. Which is divided into X Mia1 and X Mia II. Data sampling technique with saturated samples. Data analysis was carried out with a posttsest test in both classes. Based on the results of the research, it can be concluded that "The Effect of the Use of the Desmos Graphing Calculator Application on the Ability to Understand Mathematical Concepts of Students, the results of data analysis show that the ability to understand mathematical concepts in learning using the Desmos Graphing Calculator media is higher than the ability to understand mathematical concepts in learning without using the Desmos Graphing Calculator media". on the ability to understand mathematical concepts.
FREQUENCY ANALYSIS OF DELI RIVER FLOOD DISTRIBUTION PLAN USING THE GUMBEL PROBABILITY DISTRIBUTION METHOD Agustin, Uni; Siregar, Machrani Adi Putri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12543

Abstract

The Deli river basin is one of the rivers in North Sumatra Province which is in Medan City with an area of ​​394.88 km2 and a length of 166.01 km. Medan Maimun District which has an area of ​​2.98 km2 and a population density of 16,520 people/km2. Medan Mimun sub-district is one of the flood-prone areas which is drained by the Deli River. The cause of the flooding that occurred in Medan Maimun District was high rainfall so that the river flow rate increased and drainage was poor. So that the problem of flooding in the Deli river watershed, Medan Maimun sub-district, can hamper community activities, these floods can also harm and endanger the community. The flood discharge plan for each repeat period where the variable used is the maximum daily rainfall for 10 years From 2013-2022 which is sourced from the BMKG Deli Serdang. In this study using frequency analysis and then proceed with the Gumbel Probability Distribution method, Normal Distribution Log Person Type III. The result of this study with hydrological data and distribution test, the suitable method for analyzing the planned flood discharge in the Deli River is Log Person Type III that it can be flood discharge for a 2 year retention period is 12.7684672 m3/sec, 5 year return period is 12.56275855 m3/sec, 10 year return period is 15.91400029 m3/sec, 25 year return period is 16.87871678 m3/sec, 50 year return period is 17.43836748 m3/sec and a 100 year return period is 17.89619614 m3/sec. Keywords: Rainfall, Deli River, Planned Flood Discharge
Determining The Optimal Number of K-Means Clusters Using The Calinski Harabasz Index and Krzanowski and Lai Index Methods for Groupsing Flood Prone Areas In North Sumatra Syahputri, Ziana; Sutarman; Machrani Adi Putri Siregar
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13246

Abstract

The k-means algorithm is a partitional clustering method. K-Means has several advantages, including being easy to implement, having a high level of convergence and producing denser clusters. Meanwhile, the drawback is that it is difficult to determine the optimal number of clusters. The K-Means method will be used to solve problems in areas prone to flood disasters in North Sumatra. This research aims to find the optimal number of clusters with the Calinski Harabasz Index and Krzanowski And Lai Index based on the Cluster Tightness Measure (CTM) value. There are eleven variables used in this research. Based on the research results, it was concluded that the CTM CH result of 0.376 was smaller than the CTM KL of 0.7843. So it can be said that determining the optimal number of clusters using CH with k = 6 is better than KL with k = 2.
Penerapan Metode ADL Pengaruh Harga BBM dan Jumlah Uang Beredar terhadap Inflasi di Kota Medan Sarah, Henny May; Siregar, Machrani Adi Putri; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3412

Abstract

Inflation is a general and continuous tendency to increase the price of goods. Factors causing inflation include increases in fuel prices and money supply. The general impact of inflation is a decrease in domestic investment, an increase in interest rates, encouraging investment through speculation, failure to develop, economic instability, a balance of payments deficit, and lowering the standard of living and welfare of the community.The purpose of this study is to determine the effect of fuel prices and the amount of money in circulation on inflation in the city of Medan. The model used is the Autoregressive Distributed Lag (ADL) Model. If the variables in the ADL model, both the dependent variable and the independent variable have a unit root, usually performed stasionary test. The ADL model as-sumes stationary data even if the dependent and independent variables are nei-ther stationary or cointegrated. The test results indicate that there is no cointe-gration between the variables, and the model produced indicates that the varia-bles affecting the price of fuel and the availability of money have a considerable impact on inflation, with a coefficient of determination of 71,4% and a MAPE value of 15,64%, making it suitable for making predictions.
Co-Authors Agustin, Uni Agustina Rangkuti Aminda Tri Handayani Ammamiarihta Ammamiarihta Andini, Fadhila Andini, Fadhila Andini Aprilla Putri Aqfi, Farizi Arya Impun Diapari Lubis Asrul Asrul Atika Nadila Aulia, Raodhatus Anggi Ayu Lestari Batubara, Ana Uzla Chairina Chairina Cindy Kawilda Hasibuan Debi Anggitasyah Dede Ibrahim Muthawali Deva Rezky Ramadhani Dian Fadila S. Dinda Dinda Durriah Hasibuan Eka Yusnita Endi Zunaedy Pasaribu Eryanti Lisma Eryanti Lisma Fahriza Irfansyah Febrianti, Zelika Hamidah Nasution Harleni, Harleni Hartika Harahap, Afifah Hasratuddin, Hasratuddin Hendra Cipta Hetty Elfina Hidayah Nasution, Hijrah Himatun Khoiriyah Hizmi Wardani Intan Irfanilia Irfansyah, Fahriza Irham Habibi Harahap Irham Habibi Harahap Ismail Husein, Ismail Izwita Dewi Khaila Afsari Khoiriyah, Himatun Lisma, Eryanti Lisma, Eryanti M. Fauzan Zannurrain Muhammad Ridwan Nenna Isya Syaputri Nova Riani Nur Rohimah Nurhalizah, Siti Nurjannah Nurjannah Panjaitan, Syarifah Utari Poppy Andriani Pranata, Anang Putri Wardani Queenty Dhea Haura Br Sitepu R Maisaroh Rezykiyah Siregar Rahmadhani Rahmadhani Rahmadhani, Rahmadhani Raidhatul Ilmi Rakhmawati, Fibri Ramadhani, Cahya Dwi Rangkuti, Robiatul Adawiyah Rima Aprilia Rima Aprilia Rina Widyasari Rizki Hannum Rizkina, Manisyah Roshihan Mawazzi Lubis Rusi Ulfa Hasanah Sarah, Henny May Silvia Harleni Sinaga, Bornok Siregar, R. Maisaroh Rezekiyah Siti Maysarah Siti Nurhaliza Lubis Sofia, Nur Suci Dahlya Narpila, Suci Dahlya Sutarman Sutarman Sutarman Syafrida Laylani Harahap Syahputri, Ziana Widyasari, Rina Winanda Marito Yeni, Yetri Yulia Anita Siregar Yunisa, Fahira Audri Zakaria Alfikri Sirait Zulaika, Zulaika