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MES: Journal of Mathematics Education and Science
Published by Universitas Islam Sumatera Utara
ISSN : 25284363     EISSN : 25796550     DOI : https://dx.doi.org/10.30743/mes.v4i2.1292
Core Subject : Education,
Mathematics
MES (Journal of Mathematics Education and Science) diterbitkan secara berkala pada bulan April dan Oktober oleh Program Studi Pendidikan Matematika FKIP Universitas Islam Sumatera Utara. Jurnal ini membahas tentang kajian dibidang pendidikan matematika, pembelajaran matematika berbasis ICT dan matematika terapan.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 315 Documents
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PERBANDINGAN METODE REGRESI SPATIAL AUTOREGRESSIVE MODEL DAN SPATIAL ERROR MODEL UNTUK KEJADIAN DIARE DI PROVINSI BALI Pratiwi, Luh Putu Safitri
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.8099

Abstract

To control the growth rate of diarrheal cases, one of the steps that can be taken is to analyze factors related to diarrhea and their potential to contribute to an increase in diarrhea cases from a regional perspective. Understanding the influence of regions or geographic factors in modeling is known as spatial modeling. It has been identified that there are two common variants of spatial models often used, which include the Spatial Autoregressive Model (SAR) and the Spatial Error Model (SEM). The objective of this research is to determine the best model for the incidence of diarrhea in the Bali region by applying spatial analysis methods such as SAR and SEM. The research results indicate that the data used in the analysis contain significant spatial elements, highlighting the importance of integrating spatial aspects into modeling. In this context, the SEM method has proven to be the most suitable model when compared to Ordinary Least Squares (OLS) and SAR. The R-squared value for the SEM model is 96.01%, and it achieves the lowest AIC value of 267.558. Therefore, these findings demonstrate that the SEM model is more accurate in explaining the relationships among the variables involved in this study.
MODEL FUZZY GOAL PROGRAMMING DALAM MENGANALISIS KEOPTIMALAN LAPORAN KEUANGAN Telaumbanua, Tolona Berkat Lindung; Nasution, Putri Khairiah; Sawaluddin, Sawaluddin; Syahputra, Muhammad Romi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9484

Abstract

Laporan keuangan merupakan sarana yang dipakai perusahaan dengan tujuan untuk menyampaikan informasi terkait aset, liabilitas, ekuitas, pendapatan, beban dan arus kas. Dalam mencapai beberapa tujuan, laporan keuangan perlu untuk dianalisis agar diperoleh informasi yang dapat menjadi dasar kebijakan untuk periode mendatang, supaya diperoleh laporan keuangan yang optimal. Untuk menganalisis keoptimalan laporan keuangan digunakan model fuzzy goal programming. Fuzzy goal programming merupakan suatu metode yang menerapkan himpunan fuzzy pada goal programming. Dengan menggunakan metode ini, peneliti mencari deviasi dari setiap sasaran yang menghasilkan derajat kepuasan yang maksimal. Oleh karena itu, peneliti menggunakan model fuzzy goal programming untuk menganalisis keoptimalan laporan keuangan BCA. Model fuzzy goal programming diselesaikan dengan bantuan software Lingo 20.0. Hasil penelitian yang diperoleh menunjukkan bahwa ke enam sasaran (memaksimalkan total aset, meminimalkan total liabilitas, memaksimalkan total ekuitas, memaksimalkan total pendapatan, meminimalkan total beban, dan memaksimalkan total arus kas) telah tercapai yang berarti bahwa laporan keuangan BCA sudah optimal. Namun, keoptimalan laporan keuangan tersebut seharusnya dapat ditingkatkan karena hasil penelitian menunjukkan bahwa total aset dapat ditingkatkan sebesar Rp 28.340,10 miliar, total liabilitas dapat diturunkan sebesar Rp 20.919,24 miliar, total ekuitas dapat ditingkatkan sebesar Rp 49.258,35 miliar, total pendapatan dapat ditingkatkan sebesar Rp 4.628,130 miliar, total beban dapat diturunkan sebesar Rp 515,5290 miliar, dan total arus kas dapat tingkatkan sebesar Rp 5.240,053 miliar selama 8 tahun terakhir.
PEMANFAATAN TEKNOLOGI DALAM RANGKA PENINGKATAN KOMPETENSI PEDAGOGIK Noviyanti, Putu Ledyari; Patiung, Amos; Nababan, Siti Aminah; Tanjung, Henra Saputra; Nitiasih, Putu Kerti; Riastini, Putu Nanci; Sudatha, I Gde Wawan
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9398

Abstract

During the Industrial Revolution 4.0, it is important to develop critical thinking (Critical Pedagogy) and the use of technology in the learning process (Cyber Pedagogy). This research aims to explore how technology can be used to improve pedagogical competence in the educational context in Indonesia. This study uses the Systematic Literature Review (SLR) method with a survey-based quantitative descriptive approach. Data was collected from primary research results published in national and international journals such as Google Scholar, ERIC, and Scopus. The results of this research are from three study focuses related to the use of technology in learning in general, specifically mathematics learning and in the context of increasing pedagogic competence. Where the strategy for increasing teacher competence in applying technology in the classroom is training in the form of activities in the form of training in the use of learning methods, skills training in choosing suitable media, and training in media technology development.
PENGARUH MODEL PROJECT BASED LEARNING DENGAN STRATEGI BERDIFERENSIASI TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA DI SMA br Ginting, Delfi Anggriana; Purba, Glory Indira Diana
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9841

Abstract

The research was conducted to find out how the project-based learning model with differentiated strategies has an influence on students' critical thinking skills. The study population was all X grade students totalling 11 classes at SMA Negeri 1 Sunggal. The sample used in this study amounted to 62 students with purposive sampling method and divided into two groups, namely the experimental group and the control group. While the experimental group, class X-3, applied differentiated strategy with Project Based Learning model, the control group, class X-2, used conventional learning. The results showed that students' critical thinking writing skills were significantly influenced by the project-based learning model with differentiated strategies. This can be seen from  (4.517)  (1.670). The contribution of the role of the Project Based Learning model with differentiated strategies is high, it can be seen in the effect size value which shows a contribution of 1.1472.
ANALISIS HUBUNGAN LATAR BELAKANG PENDIDIKAN KELUARGA DAN DAERAH ASAL MAHASISWA TERHADAP PEMILIHAN PROGRAM STUDI DI UNIVERSITAS HKBP NOMMENSEN MEDAN Sinaga, Rani Farida; Simbolon, Lolyta Damora; Malau, Farmin; Situmorang, Mahanda Dinaria
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.8929

Abstract

Universitas HKBP Nommensen consists of 11 faculties and 33 study programs for undergraduate and postgraduate levels. Students generally come from regencies / cities in North Sumatra province plus from several nearby provinces with different family education backgrounds. This study aims to analyze the relationship between family background and region of origin on the selection of study programs. This type of research is ex-post facto using a quantitative approach. The subjects in this study were students of Universitas HKBP Nommensen Medan. The research instrument used is a questionnaire. The data collected is analyzed based on statistical analysis. The results showed the magnitude of the influence of family educational background on the selection of study programs, it can be seen from the coefficient of determination (r2) of 0.254 which shows that family educational background has an influence on the selection of study programs by 25.4%. Based on the results of the analysis of the data collected, it can be concluded that there is a positive and significant influence of family education background but not with the area of origin of students on the selection of study programs.
PENGARUH MODEL PEMBELAJARAN PROBLEM-BASED LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIK SISWA Nasution, Ibrahim Yusup; Napitupulu, E. Elvis
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.8593

Abstract

The research aims to determine the mathematical problem-solving abilities of students who are taught using the Problem-Based Learning model or direct learning model. As well as to see an overview of the process of students' mathematical problem-solving abilities in terms of the students' answer process. The population in this study was all students at SMP Negeri 2 Pantai Labu for the 2022/2023 academic year, totaling 210 students and the sample for this research was 61 students from class VIII-1 and class VIII-3. This type of research is experimental research. The data used is a PAM test with 15 questions and a mathematical problem-solving ability test in the form of a description with 3 questions. After the prerequisite tests are carried out, the data is declared Normal and Homogeneous, then the data can be carried out further tests. The results of data analysis of mathematical problem-solving abilities in the Problem-Based Learning learning model were an average of 63.439 with a standard deviation of 8.0608 and in the direct learning model the average was 45.727 with a standard deviation of 6.1296. To test the hypothesis, it was concluded that the mathematical problem-solving abilities of students taught using the Problem-Based Learning learning model were better than students taught using the direct learning model.
Model SEIRS terhadap Kejahatan Perjudian di Kalangan Masyarakat (Studi Kasus: Pengadilan Negeri Batam) Situmeang, Hevi Sepatia; Syahputra, Muhammad Romi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9655

Abstract

Model SEIRS yang tidak hanya digunakan untuk memodelkan penularan penyakit di bidang kesehatan, tetapi dapat digunakan juga untuk memodelkan fenomena sosial, seperti kejahatan perjudian. Penelitian ini bertujuan untuk memodelkan dan mencari simulasi model terhadap kejahatan perjudian di kalangan masyarakat Batam dengan menggunakan model SEIRS. Pada penelitian ini diperoleh model matematika,  yaitu ; ; ; , serta bilangan reproduksi dasar yang diperoleh adalah . Berdasarkan simulasi model yang dilakukan, perubahan nilai  menunjukkan bagaimana cepat lambatnya penyebaran kejahatan perjudian dalam populasi, nilai  yang lebih rendah menunjukkan penyebaran yang lebih lambat, sementara nilai  yang lebih tinggi menunjukkan penyebaran yang lebih cepat.
ANALISIS GENERAL LINIER MODEL DENGAN DISTRIBUSI NORMAL PADA KASUS IBU HAMIL DI RUMAH BERSALIN SADAN MEDAN SELAYANG Harizahayu, Harizahayu; Friendly, Friendly; Putra, Purwa Hasan
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.7769

Abstract

Pemodelan matematika denganpendekatan General Model Linier dengan Distribusi Normal untuk mengidentifikasi faktor-faktor yang berpengaruh terhadap proses persalinan dan hasilnya di Rumah Bersalin SADAN Medan Selayang. GLM (Generalized Linear Model) yang berbasis pada analisis regresi namun dengan tambahan 3 komponen utama : Ausmsi Distirbusi, Komponen Sistematik dan Fungsi Penghubung merupakan perluasan model linear biasa. Dalam penelitian ini diasumsikan distribusinya adalah distribusi normal sehingga GLM yang dipakai adalah Model Linear Normal dengan jenis respon  merupakan pertambahan BB (berat badan)  Ibu selama Hamil adalah kontinu dengan fungsi penghubung Identitas. Dengan tanpa memperhatikan struktur korelasi maka dari hasil analisis disimpulkan bahwa variable kovariat ANC, Ibu dengan kedatangan di K1 2 kali dan K2 juga 2 kali mempengaruhi penambahan BB ibu hamil dibuktikan dengan nilai p-value yang 0,05. Jadi tidak berbeda jauh dengan kesimpulan awal bahwa Antenatal Care (ANC) dan grup mempengaruhi penambahan BB ibu hamil. Sehingga diperoleh model sebagai berikutY=1.16855+1.51730X_(1_A)-0.29142X_(2_B)-0.84033X_(3_C)-1.23650X_(4_D)..
KAJIAN METODE FUZZY TIME SERIES-CHEN DAN FUZZY TIME SERIES-MARKOV CHAIN DAN TERAPAN PADA PERAMALAN CURAH HUJAN Rahmadani, Rahmadani; Mardiningsih, Mardiningsih; Rosmaini, Elly; Nasution, Putri Khairiah
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober (Progress)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9333

Abstract

Penelitian ini menggunakan metode Fuzzy Time Series-Chen dan Fuzzy Time Series-Markov Chain untuk mengkaji dan menerapkan kedua metode pada peramalan curah hujan di Kota Medan sehingga didapat keakuratan dari masing-masing metode. Fuzzy Time Series merupakan metode peramalan yang berdasarkan prinsip fuzzy. Peramalan pada metode ini yaitu dengan menggunakan pola data sebelumnya, kemudian pola tersebut dapat meramalkan data dimasa mendatang. Metode Fuzzy Time Series (FTS) merupakan pendekatan baru yang menggabungkan variabel linguistik dengan proses analisis sehingga diperoleh hasil kajian dan penerapan Fuzzy Time Series-Chen dan Fuzzy Time Series Markov-Chain untuk memprediksi curah hujan di Kota Medan pada Januari 2018- Oktober 2022 dilihat dari ketetapan nilai MAPE sangat akurat. Nilai MAPE dari hasil peramalan curah hujan di Kota Medan dengan menggunakan metode Fuzzy Time Series-Chen adalah sebesar % dan untuk peramalan satu bulan kedepan sebesar 264 mm di bulan November 2022 sedangkan Fuzzy Time Series Markov-Chain sebesar 1,01% dan prediksi bulan berikutnya sebesar 233 mm pada bulan November 2022. Perbandingan gambar Fuzzy Time Series-Chen memiliki (MAPE) lebih besar dibandingkan Fuzzy Time Series-Markov Chain dengan pola kesalahan pada tabelnya lebih besar. Berdasarkan kriteria MAPE, untuk Fuzzy Time Series-Chen dan Fuzzy Time Series-Markov Chain memenuhi akurasi peramalan akurat, karena tingkat MAPE-nya kurang dari 10%.
KAJIAN METODE ELIMINATION ET CHOIX TRADUISANT LA REALITE SEBAGAI PENDUKUNG DALAM PENGAMBILAN KEPUTUSAN Ricky, Ricky; Nababan, Esther Sorta Mauli; Suyanto, Suyanto; Herianto, Tulus Joseph
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9232

Abstract

The aim of this research is to conduct a study of the ELECTRE method as a support in decision making to obtain the best decision alternative from a number of decision alternatives. This research also aims to determine which bank alternative is the best alternative for stock investment using the ELECTRE method. The data used is secondary data obtained from bank financial reports for 2023 which is an alternative. The alternative banks used consist of 4 large banks in Indonesia. Meanwhile, the criteria used consist of 5 financial ratios, namely Return on Assets, Return on Equity, Price to Book Value, Price to Earning Ratio, and Debt to Equity Ratio. The results of this research show that BBNI shares are the best alternative bank for stock investment. The conclusion that can be obtained is that the ELECTRE method is effective for use as a support in decision making because the decision alternative that will be obtained is the best decision alternative that has a level of suitability above the suitability threshold and also at the same time has a level of nonconformity below the nonconformity threshold.

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