Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika
Not a member yet
462 research outputs found
Sort by
Analisis Kesalahan Penyelesaian Soal Materi Segi Empat Menggunakan Prosedur Newman Pada Peserta Didik Kelas VII Di SMP Negeri 4 Tanjung Morawa
No full textRiset ini berguna untuk mengidentifikasi jenis kesalahan yang diselenggarakan anak didik serta alasan yang menyebabkannya dalam menjawab soal cerita terkait segi empat. Untuk menganalisis kesalahan siswa, digunakan metode NEA. Riset ini bersifat deskriptif melalui pendekatan kualitatif. Data dikumpulkan melalui tes dan wawancara, dengan responden sebanyak 34 anak didik kelas VII E SMP N 4 Tanjung Morawa. Berpatokan analisis data menggunakan metode NEA, ditemukan bahwa kesalahan membaca mencapai 39,70%, kesalahan memahami soal sebesar 41,17%, kesalahan transformasi 22,05%, kesalahan keterampilan proses 38,23%, dan kesalahan menulis jawaban 38,23%. Alasan penyebab kesalahan tersebut meliputi minimnya pemahaman terhadap soal cerita, ketidaktelitian, minimnya bahasa yang dikuasai, kekeliruan konsep, kesukaran dalam melakukan penaksiran, serta kebiasaan yang kurang dalam mencantumkan simpulan dan satuan pada jawaban akhir. Kesimpulannya, banyak anak didik menyelenggarakan kesalahan ketika menulis jawaban, khususnya disebabkan oleh ketidakcermatan dan kurangnya pemahaman konsep
Model Sistem Permintaan Bahan Pangan Rumah Tangga pada Masa Pandemi Covid-19
No full textCurrently, the world is being shocked by the existence of Corona Virus Disease or better known as Covid-19, so that people who lack food ingredients also automatically increase because many people are affected by mass layoffs which results in mass unemployment. The absence of a fixed income for some residents has caused access to meet basic needs for food to increase. Of course, during this pandemic. In meeting the demand for foodstuffs, the QUAIDS model is used to be able to see the food demand system. The model is implemented in the ADDIE Model so that it can be analyzed, designed, developed, and implemented to the community in order to see the need for food during the Covid-19 pandemic
Penerapan Analisis Lasso dalam Menentukan Penyebab Utama Faktor Kematian Pasien Komorbid yang Terinfeksi Covid-19
No full textTingkat kematian akibat COVID-19 saat ini sangatlah mengkhawatirkan. Pada pasien dengan komorbid (penyakit pembawa) tingkat kematian semakin tinggi. Tujuan dari penelitian ini adalah untuk mengetahui komorbid apa saja yang berisiko kematian akibat COVID-19 berdasarkan ketepatan datang pengobatan di RSU Haji Kota Medan, dengan menggunakan metode LASSO (Least Absolute Shrinkage and Selection Operator). Keunggulan metode ini adalah mendapatkan hasil koefisien nol atau mendekati nol, yang menyebabkan terseleksinya variabel independen dengan diketahui koefisien dari usia, kadar gula darah, tekanan darah, hemoglobin, kreatinin dan saturasi oksigen. Berdasarkan koefisien hemoglobin memiliki nilai tertinggi dan menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID-19. Hemoglobin dapat mempengaruhi tingkat oksigen di dalam tubuh karena saturasi oksigen adalah presentase hemoglobin yang mengikat oksigen. Jika tekanan hemoglobin turun menyebabkan sesak nafas sampai meyebabkan sesak nafas sampai menyebabkan kematian. Sehingga hemoglobin menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID -19
Pemodelan Regresi Spline Truncated Birespon pada Inflasi dan PDRB Sumatera Utara
No full textA Nonparametric regression with a truncated biresponse spline approach is a good method in solving the problem of unknown shape of the regression curve. Truncated splines provide high flexibility in estimating curves that have data patterns that tend to change at certain intervals and do not require classic assumption tests. The purpose of this study was to obtain the best biresponse truncated spline regression model for North Sumatra\u27s inflation and GRDP. This study uses qualitative methods and uses secondary data obtained from the Central Bureau of Statistics of North Sumatra. Selection of the best model is determined based on the optimal knot point using the minimum GCV value criteria. The research results obtained are the best spline model with 3 knot points with an MSE value of 1.6028 and a minimum GCV value of 0.0452. The value of response 1 is 14.64% and response 2 is 61.85%. This means that the ability of the predictor variable to explain the variance of the response variable is 14.64% and the remaining 61.85% is influenced by other factors
Uji Metode Naive Bayes Classifier dalam Pembagian Bantuan Langsung Tunai oleh Program Keluarga Harapan
No full textDirect 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
Faktor Konfirmatori Permainan Trapoly untuk Mengurangi Gangguan Kesehatan Mental Remaja di Makassar
No full textThis study aims to analyze the factors that cause adolescent mental health disorders in Makassar City and evaluate the effectiveness of Trapoly games in reducing the rate of mental health disorders among these adolescents. The population of this study consisted of adolescents aged 15-19 years in Makassar City with a sample of 399 randomly selected people. The research phase involved the distribution of questionnaires including the DASS-21 scale as well as instruments for measuring factors causing adolescent mental health disorders and Trapoly playing experience, followed by Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and t-test tests. The results of EFA research show that social interaction factors, product quality factors, emotional intelligence factors, interactive factors, social influence factors and individual characteristic factors affect the effectiveness of Trapoly games. Furthermore, CFA identified the factors that most influence adolescent mental health disorders in Makassar City are school environment factors and peer environment factors and the factors that most affect the effectiveness of Trapoly games are social influence factors. The t-test analysis confirmed a significant difference between the rates of adolescent mental health problems before and after playing Trapoly. The results highlighted that Trapoly game has the potential to reduce the rate of adolescent mental health disorders in Makassar City
Deciphering Celebrity Worship Phenomenon: Simulation and Analysis using SFR Mathematical Model among Fans in South Sulawesi
No full textThis study delves into the mathematical SFR model capturing the pace of Celebrity Worship Behavior among devoted K-Pop enthusiasts. Primary data is harnessed via questionnaires directly sourced from the community within South Sulawesi Province, offering insights into the rhythm of Celebrity Worship Behavior among K-Pop aficionados. The research embarks on constructing the SFR model and subsequently navigating through an array of analyses and simulations pertaining to Celebrity Worship Behavior in the K-Pop sphere. This comprehensive approach encompasses pinpointing equilibrium junctures, scrutinizing model stability, computing the fundamental reproduction number (R0), orchestrating model simulations using Maple software, and untangling the implications of simulation outcomes. Within this article, the SFR mathematical model materializes through a synthesis of analysis and simulation, uncovering two equilibrium points: the unconstrained equilibrium of Celebrity Worship Behavior in the realm of K-Pop enthusiasts, and the equilibrium specific to this distinctive behavior. A calculated basic reproduction number of R0=0,425 alludes to a decline in the populace engaging in Celebrity Worship Behavior within the K-Pop community
Penerapan Problem Based Learning (PBL) Berbantuan Google Sites sebagai Upaya Meningkatkan Kemampuan Memecahkan Masalah Peserta Didik Kelas XI
No full textPenelitian ini bertujuan untuk meningkatkan kemampuan pemecahan masalah peserta didik dengan menerapkan model pembelajaran Problem Based Learning dengan berbantuan Google Site. Jenis penelitian ini ialah penelitian tindakan kelas dengan subjek peserta didik kelas XI-5 SMA N 2 Bantul tahun ajaran . Desain penelitian ini terdiri atas empat tahapan pada yang terdiri dari tahap perencanaan, tahap tindakan, tahap pengamatan, dan tahap refleksi, serta analisis data dilakukan melalui tiga aktivitas yaitu reduksi data, penyajian data dan penarikan kesimpulan. Hasil tes awal pada prasiklus diperoleh presentase sebesar pada indikator kemampuan memahami masalah pada kategori baik, merencanakan masalah sebesar dengan kategori cukup, melaksanakan rencana sebesar dengan kategori baik, dan memeriksa kembali jawaban sebesar dengan kategori baik. Kemampuan memahami masalah mencapai keberhasilan, dan yang lainnya belum mencapai keberhasilan, sehingga penelitian dilanjutkan ke siklus I untuk diberikan tindakan. Pada siklus I kemampuan pemecahan masalah mengalami peningkatan disemua indikator dimana kemampuan memahami masalah pada kategori sangat baik dengan presentase merencanakan masalah sebesar dengan kategori baik, melaksanakan rencana sebesar dengan kategori sangat baik, dan memeriksa kembali jawaban sebesar dengan kategori sangat baik, akan tetapi merencanakan penyelesaian belum mencapai keberhasilan, sehingga penelitian dilanjutkan ke siklus II untuk diberikan tindakan. Pada siklus II terdapat peningkatan pada semua indikator kemampuan dimana kemampuan memahami masalah sebesar dengan kategori sangat baik, merencanakan penyelesaian sebesar dengan kategori sangat baik, melaksanakan rencana sebesar dengan kategori sangat baik, memeriksa kembali jawaban dengan kategori sangat baik, dan keempat indikator tersebut telah mencapai keberhasilan, sehingga pemberian tindakan berhenti pada siklus II. Dengan demikian penerapan problem based learning berbantuan Google Site dapat meningkatkan kemampuan pemecahan masalah
Integrasi Penerapan Model Problem Based Learning (PBL) dengan Model Pembelajaran Connecting, Organizing, Reflecting, Extending (CORE) terhadap Kemampuan Pemecahan Masalah Matematika Calon Guru SD
No full textThis research aims to explain the effectiveness of integrating the PBL model with the CORE model on the mathematical problem solving abilities of prospective elementary school teachers. Pre-experimental research with One-Group Pretest Posttest Design to achieve research objectives. The population in this study were all PGSD students at Makassar State University consisting of 3 classes. The experimental units were taken using cluster random sampling, from 3 selected classes, namely BC.212 as the experimental class consisting of 30 people. The data collection techniques used were learning outcomes tests, observation sheets, and student response questionnaires. Student activity and response data were analyzed using descriptive statistical analysis, while student mathematics learning outcomes data used inferential statistical analysis. The results of the research show that the integration of the PBL model with the CORE model is effectively applied in mathematics learning, Geometry and Learning material in terms of: 1) the average score of mathematics learning outcomes in the aspect of students\u27 Problem Solving Ability in the posttest is greater than 75 (KKM), namely 83, 4 of the ideal scores of 100 are in the High category. The normalized gain obtained is 0.73, which is in the High classification; 2) the average student activity score of 3.56 is in the very active category; 4) the average percentage of student responses was 85.45% in the positive category
Analisis Multivariat Tingkat Kemiskinan Di Kabupaten Tuban: Faktor Paling Dominan
No full textThis research aims to identify significant factors influencing the poverty level in Tuban Regency. Multiple linear regression analysis using the Ordinary Least Squares (OLS) method was applied using the Google Colab platform and the Scikit-learn library to examine the relationship between the Human Development Index (HDI), Open Unemployment Rate (OUR), and Gini ratio on the poverty level. Before the regression analysis was conducted, the data were tested for normality using the Shapiro-Wilk test to ensure that the classical regression assumptions were satisfied. Then, a correlation matrix is presented to provide an initial overview of the relationship between variables. The analysis results show that the HDI is the dominant factor that significantly contributes to the decrease in the poverty level in Tuban Regency. Meanwhile, the unemployment rate and the gini ratio do not show a significant influence in this regression model. Visualization of actual data and model data shows a fairly good fit, indicating the model\u27s accuracy in explaining the variability of the number of poor residents