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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 Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Uji Metode Naive Bayes Classifier dalam Pembagian Bantuan Langsung Tunai oleh Program Keluarga Harapan Panjaitan, Syarifah Utari; Siregar, Machrani Adi Putri; Harleni, Silvia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3688

Abstract

Direct Cash Assistance (DCA) can be understood as giving a sum of money (cash) to the poor through a village fund budget issued by the government. The DCA Program for Target Households (PTH) in its implementation must directly touch and provide direct benefits to the poor (which are categorized as PTH), encourage shared social responsibility and be able to foster public trust in the government in really paying attention to PTH. The Naive Bayes classifier is a classification method that can be used in the distribution of Direct Cash Assistance (DCA) by the Family Hope Program (FHP). The data used in this study were obtained from the East Sei Kepayang sub-district and the Asahan District Social Service. The data taken is only data obtained in 2022 and in branches sourced from the village fund budget issued by the government. The results showed that based on predetermined test data, the probability of "yes" assistance was 0.0066650391 while the probability of "no" assistance was 0, so that the results of the classification "yes" for this data were obtained.
PENGARUH MODEL CONTEXTUAL TEACHING AND LEARNING TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MATEMATIS SISWA Sofia, Nur; siregar, Machrani Adi Putri; Ammamiarihta
Relevan : Jurnal Pendidikan Matematika Vol 5 No 1 (2025): Relevan : Jurnal Pendidikan Matematika
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan pemahaman konsep matematis peserta didik kelas VIII SMP Negeri 24 Medan. Salah satu solusi untuk mengatasi masalah ini adalah dengan menggunakan pendekatan model pembelajaran Contextual Teaching And Learning. Penelitian ini adalah penelitian kuantitatif dengan jenis penelitian quasi eksperimen (Eksperimen Semu). Populasinya adalah seluruh siswa kelas VIII SMP Negeri 24 Medan, dengan jumlah sampel 30 siswa kelompok eksperimen dan 30 siswa kelompok kontrol. Teknik pengambilan sampel yang digunakan dalam penelitian ini dilakukan berdasarkan kelas yang sudah ada (Sampling purposive). Teknik pengumpulan data yang digunakan dalam penelitian ini adalah dengan tes yang digunakan untuk mengetahui kemampuan pemahaman konsep matematis siswa adalah dengan menggunakan tes berbentuk uraian. Adapun hasil penelitian yang diperoleh bahwa terdapat pengaruh model pembelajaran Contextual Teaching And Learning terhadap kemampuan pemahaman konsep matematis siswa. Hal ini dibuktikan dengan hasil uji hipotesis dengan “uji t” yang menunjukkan bahwa nilai T-hitung = 5.9930 dan T-tabel= 2.00172 maka dapat dikatakan bahwa T-hitung > T-tabelmaka Ho ditolak dan Ha diterima. Maka dari hasil tersebut dapat disimpulkan bahwa terdapat pengaruh model pembelajaran Contextual Teaching And Learning terhadap kemampuan pemahaman konsep matematis siswa di SMP Negeri 24 Medan. ABSTRACK This research was motivated by the low ability to understand mathematical concepts of class VIII students at SMP Negeri 24 Medan. One solution to overcome this problem is to use the Contextual Teaching And Learning learning model approach. This research is quantitative research with a quasi-experimental type of research (Quasi Experiment). The population was all students in class VIII of SMP Negeri 24 Medan, with a sample size of 30 students in the experimental group and 30 students in the control group. The sampling technique used in this research was based on existing classes (purposive sampling). The data collection technique used in this research is a test that is used to determine students' ability to understand mathematical concepts by using a test in the form of a description. The research results obtained show that there is an influence of the Contextual Teaching and Learning learning model on students' ability to understand mathematical concepts. This is proven by the results of hypothesis testing with the "t test" which shows that the value of t-count = 5.9930 and t-tabel = 2.00172, so it can be said that t-coun t > t-table then Ho is rejected and Ha is accepted. So from these results it can be concluded that there is an influence of the Contextual Teaching And Learning learning model on students' ability to understand mathematical concepts at SMP Negeri 24 Medan.
PENGARUH PENDEKATAN RME TERHADAP KEMAMPUAN PEMECAHAN MASALAH DAN KECEMASAN MATEMATIKA Rangkuti, Robiatul Adawiyah; Rakhmawati, Fibri; Siregar, Machrani Adi Putri
Relevan : Jurnal Pendidikan Matematika Vol 5 No 1 (2025): Relevan : Jurnal Pendidikan Matematika
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/relevan.v5i1.1250

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh pendekatan realistic mathematic education (RME) terhadap kemampuan pemecahan masalah dan kecemasan matematika pada siswa kelas VIII SMP. Penelitian ini dilaksanakan di SMP Muhammadiyah 7 Medan. Penelitian ini merupakan penelitian eksperimen dengan metode quasi eksperimen dengan pendekatan kuantitatif. Data dikumpulkan melalui instrumen tes berupa soal uraian dan non tes berupa angket. Hasil penelitian adanya pengaruh realistic mathematic education terhadap kemampuan pemecahan masalah berdasarkan R Square adalah 21% dan besarnya pengaruh realistic mathematic education terhadap tingkat kecemasan matematika siswa adalah 31,4%. menunjukkan bahwa kemampuan pemecahan masalah siswa yang diajarkan dengan menggunakan pendekatan realistic mathematic education lebih tinggi dibandingkan dengan siswa yang diajarkan dengan menggunakan pembelajaran konvensional. ABSTRACT This study aims to determine the effect of realistic mathematic education (RME) approach on problem solving ability and mathematics anxiety in class VIII junior high school students. This research was conducted at SMP Muhammadiyah 7 Medan. This research is an experimental research with quasi experimental method with quantitative approach. Data were collected through test instruments in the form of description questions and non-tests in the form of questionnaires. The results showed that the influence of realistic mathematic education on problem solving ability based on R Square is 21% and the magnitude of the influence of realistic mathematic education on students' math anxiety level is 31.4%. shows that the problem solving ability of students taught using realistic mathematic education approach is higher than students taught using conventional learning.
Meta-analysis: The effect of means ends analysis learning model on students’ mathematical problem-solving ability Khoiriyah, Himatun; siregar, Machrani Adi Putri
Desimal: Jurnal Matematika Vol. 6 No. 2 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i2.18137

Abstract

This study aimed to determine the effect of using the MEA learning model on improving students' mathematical problem-solving abilities. The MEA learning model is a model that teachers can use to improve students' problem-solving abilities. This research is meta-analytic, namely by collecting data from previous researchers and then finding the effect size of all the data that has been obtained. Many of the data points found that match this research have met the criteria when searched using Google Scholar with the specified keywords. This research analysis tool uses SPSS software version 29.0 and uses the Cohen formula in data analysis. The finding of the effect size of the entire data is 1.431, which is categorized as having a considerable influence. Based on moderator variable analysis, the number of samples with  showed a larger effect size than . Furthermore, based on the level of education of junior high school students, it has an effect size that is categorized as having a large influence. This meta-analysis study shows that using the MEA learning model affects students' mathematical problem-solving abilities.
The effect of problem based learning on students' mathematical literacy ability Andini, Fadhila Andini; Siregar, Machrani Adi Putri
Desimal: Jurnal Matematika Vol. 7 No. 1 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i1.22211

Abstract

This research is motivated by the many problems that often arise during learning in the classroom, especially mathematics. The purpose of this study was to determine how the description of students' abilities and problems in learning mathematics about relations and functions is taught using problem-based learning models and conventional learning models. With a post-test-only control group design, this research is quasi-experimental. Based on the results of data analysis obtained sig. (2-tailed) of 0.000 <0.05. Therefore, it can be concluded that Problem Based Learning and conventional learning produce significantly different levels of mathematical literacy. The practical implication of this study is that educational practitioners, particularly mathematics teachers at the junior high school level, can utilize these findings to improve their teaching. PBL can be used as a basis for designing more innovative and student-centered learning units, which can help students develop a deeper understanding of mathematical concepts and improve their ability to solve problems. Adequate support and training for teachers in implementing PBL is also important to ensure its successful implementation in the classroom.
Penerapan Metode MOORA dalam Pengambilan Keputusan untuk Menentukan Bibit Sawit Terbaik Pranata, Anang; Siregar, Machrani Adi Putri; Siregar, R. Maisaroh Rezekiyah
Leibniz: Jurnal Matematika Vol. 5 No. 02 (2025): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v5i02.629

Abstract

Tanaman kelapa sawit (Elaeis guineensis Jacq) merupakan komoditas perkebunan strategis yang memberikan kontribusi ekonomi besar per hektar secara global. Peningkatan kebutuhan dunia akan minyak sawit menuntut strategi produksi yang efektif, salah satunya melalui pemilihan bibit unggul. Pemilihan bibit yang tepat menjadi faktor penting dalam mendukung produktivitas dan keberhasilan budidaya. Beberapa jenis bibit unggul yang umum digunakan oleh petani antara lain Dumpy, Yangambi, SP540, dan DxP 540 NG. Untuk mempermudah proses pengambilan keputusan dalam pemilihan bibit terbaik, penelitian ini menerapkan metode MOORA (Multi-Objective Optimization by Ratio Analysis), sebuah metode pengambilan keputusan multikriteria yang sederhana, fleksibel, dan efektif dalam menangani banyak kriteria secara simultan. Penelitian ini menggunakan delapan kriteria evaluasi bibit kelapa sawit dengan lima alternatif jenis bibit. Setiap kriteria diberi bobot berdasarkan hasil wawancara dengan ahli, kemudian dinormalisasi dan dihitung nilai preferensinya (Yi) untuk menentukan peringkat. Hasil analisis menunjukkan bahwa bibit terbaik adalah DxP 540 NG dengan nilai Yi sebesar 0,426, diikuti oleh turunan SP540 (0,357), turunan Yangambi (0,320), DxP Langkat (0,315), dan DyP Sungai Pancur I (Dumpy) (0,315). Hasil ini membuktikan bahwa metode MOORA dapat digunakan sebagai sistem pendukung keputusan yang membantu petani dalam memilih bibit sawit terbaik secara objektif dan sistematis. Pendekatan ini juga dapat dikembangkan lebih lanjut dalam konteks pengambilan keputusan pertanian lainnya yang melibatkan banyak kriteria.
GeoGebra in Discovery Learning: Alternative Solutions for Understanding Mathematical Concepts Wardani, Putri; Siregar, Machrani Adi Putri
Journal of Mathematics Instruction, Social Research and Opinion Vol. 4 No. 3 (2025): September
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v4i3.672

Abstract

In learning, students are required to understand the concepts of problems and visualize the objects of mathematical learning discussions. However, in reality, students face difficulties in understanding and visualizing the objects discussed; learning media can help solve the problems faced by students so that the learning process is no longer conventional, which causes students to be passive. This research aims to determine whether there is an effect of GeoGebra learning media on the Discovery Learning model on students' understanding of mathematical concepts. This research uses a quasi-experimental quantitative method that tests the cause and effect between variables. The study was conducted in class XI MIA MAL UINSU as the population, with sampling carried out by randomizing classes. The sample for this study consisted of students from class XI MIA 1 as the control class and XI MIA 2 as the experimental class. Each class consists of 39 students. The instrument used is a mathematical concept understanding ability test in the form of an essay, consisting of a pretest and a posttest. The data collected were then tested using a t-test. Based on the t-test calculations with α= 0.05, the significance value obtained is 0.000, thus 0.000 < 0.05. It can be concluded that GeoGebra learning media has an effect on the Discovery Learning model on students' concept understanding. The research results regarding the impact of learning media on students' concept understanding indicate that teachers can implement this learning media in their teaching.
Exploration of Mathematical Values on Traditional Umbrellas in the Alas Indigenous Community in Southeast Aceh Dinda, Dinda; Siregar, Machrani Adi Putri
Journal of Mathematics Instruction, Social Research and Opinion Vol. 4 No. 3 (2025): September
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/misro.v4i3.674

Abstract

This study explores ethnomathematics embedded in the forms and motifs of the Payung Mesikhat, a cultural symbol of the Alas Indigenous community in Darul Amin Village, Southeast Aceh Regency. A qualitative approach with an ethnographic method was employed to uncover the mathematical meanings inherent in the geometric elements of this traditional umbrella. Data were collected through observation, in-depth interviews with cultural figures and artisans, and visual documentation. To analyze the geometric shapes identified, GeoGebra was used as a tool for visualization and mathematical representation. The findings reveal that the Payung Mesikhat embodies various mathematical concepts, such as reflection symmetry, rotation, geometric transformations, patterns, and repetitions, each carrying philosophical significance in the Alas culture. With the aid of GeoGebra, these concepts can be represented visually and interactively, thereby supporting contextual mathematics learning based on local culture. This study is expected to enrich locally grounded mathematics teaching materials and strengthen cultural preservation through educational approaches.
Deli River Water Quality Control In Medan City Using Statistical Methods Quality Control Rizkina, Manisyah; Siregar, Machrani Adi Putri; Batubara, Ana Uzla
Jurnal Pijar Mipa Vol. 19 No. 2 (2024): March 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i2.6591

Abstract

Clean water is a type of water-based resource that is of good quality and is commonly used by humans for consumption or in carrying out daily activities. Clean water quality that meets standards/quality is very difficult to obtain because river water quality has been polluted by various kinds of waste from various human activities, so that the potential impact on river quality decreases both in terms of quantity and quality. 70% of the Deli River pollution is solid and liquid waste, domestic waste, industrial waste, and along the Deli River it has affected the quality of the river water. To quantitatively identify air quality, the Statistical Quality Control method can be used. Statistical quality control is a collection of strategies, techniques, and actions taken to ensure that they produce a quality product. The aim of this research is to determine the control of the water quality of the Deli River in Medan City using Statistical Quality Control. Based on the data obtained, the water quality standards of the Deli River in the Sumatra II River Basin Agency from January 2023 - December 2023 have not been statistically controlled because there are several data samples that are out of control. Then, Deli River water quality control was carried out based on graphic control using SQC (Statistical Quality Control). The results of quality control using SQC show that SQC provides different controls, because in SQC TDS control on data on controlled 3 times, while the and R data on DO, the and R data on and and R data for fatty oil are controlled.
CLASSIFICATION OF TODDLER NUTRITIONAL STATUS USING A BINARY CLASSIFICATION TREE WITH ALGORITHMSQUICK, UNBIASED, EFFICENT, STATISTICAL TREE Ramadhani, Cahya Dwi; Siregar, Machrani Adi Putri
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 1 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i1.17339

Abstract

Determination of nutritional status is very important in helping to monitor the state of nutritional health growth in toddlers every time. In this study, there were 70 identity data for toddlers for the 2022 period obtained from the KB Counseling Center in the Pegajahan sub-district, in Sukasari Village. There are four independent variables used, namely gender, health insurance, weight, and height. The purpose of this study is to determine the classification that is formed and the accuracy of the resulting classification on the nutritional status of toddlers. Classification which is part of data mining can make decisions on the nutritional status of toddlers faster and more efficiently. QUEST method (Quick, Unbiased, Efficient, Statistical Trees) is one of the statistical methods that can be used to form a decision tree and classify an object using a separator algorithm that produces a binary tree. From the results of the classification there is a variable height (?!) as the limiting variable. in the early stages of insulation, the parent node which consists of 70 toddler data. Variables are partitioned based on height into two nodes, namely node (1) and node (2). Node (1) is a node containing 25 children under five with a height of more than 85.79 cm, while node (2) is a node for 45 children under five with a height less than or equal to 85.79 cm. in the next process, the blocking is terminated. the overall value of the accuracy of the classification of trees formed is 95.7%. Thus, the probability of misclassification of the tree is 4.3%, which means that this classification tree is optimal.
Co-Authors Afsari, Khaila Agustin, Uni Agustina Rangkuti Aminda Tri Handayani Ammamiarihta Ammamiarihta Ammamiarihta, Ammamiarihta Andini, Fadhila Andini, Fadhila Andini Aqfi, Farizi Arya Impun Diapari Lubis Asrul Asrul Atika Nadila Aulia, Raodhatus Anggi Ayu Lestari Batubara, Ana Uzla Chairina Chairina Debi Anggitasyah Dede Ibrahim Muthawali Deva Rezky Ramadhani Dian Fadila S. Dinda, Dinda Durriah Hasibuan Eka Yusnita Eryanti Lisma Eryanti Lisma Fahriza Irfansyah Harahap, Irham Habibi 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 Ismail Husein, Ismail Khoiriyah, Himatun Lisma, Eryanti Lisma, Eryanti M. Fauzan Zannurrain Muhammad Ridwan Muthawali, Dede Ibrahim Nenna Isya Syaputri Nova Riani Nurhalizah, Siti Nurjannah Nurjannah Panjaitan, Syarifah Utari Pasaribu, Endi Zunaedy Poppy Andriani Pranata, Anang Putri, Aprilla 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 Rohimah, Nur Roshihan Mawazzi Lubis Rusi Ulfa Hasanah Sarah, Henny May Silvia Harleni Sinaga, Bornok Siregar, R. Maisaroh Rezekiyah Sofia, Nur Suci Dahlya Narpila, Suci Dahlya Sutarman Sutarman Sutarman Syahputri, Ziana Wardani, Putri Widyasari, Rina Winanda Marito Yeni, Yetri Yulia Anita Siregar Yunisa, Fahira Audri Zakaria Alfikri Sirait Zulaika, Zulaika