MAp (Mathematics and Applications) Journal最新文献

{"title":"HUBUNGAN KOMPETENSI PROFESIONALITAS DOSEN DAN INDEKS PRESTASI KUMULATIF MAHASISWA DALAM STATISTIKA","authors":"Andi Susanto, Nana Sepriyanti, Ezhari Asfa’ani","doi":"10.15548/map.v2i2.2268","DOIUrl":"https://doi.org/10.15548/map.v2i2.2268","url":null,"abstract":"Penelitian ini bertujuan mengetahui pengaruh kompetensi profesionalitas dosen dan fasilitas belajar terhadap indeks prestasi kumulatif mahasiswa Program Studi Tadris Matematika FTK UIN Imam Bonjol Padang. Jenis penelitian adalah kuantitatif dengan metode deskriptif asosiatif, variabel independentnya adalah kompetensi profesionalitas dosen (x1) dan fasilitas belajar (x2) serta variabel dependentnya indeks prestasi kumulatif (y) mahasiswa. Instrumen yang pakai angket kompetensi profesionalitas dosen dan fasilitas belajar serta lembar hasil studi mahasiswa. Berdasarkan hasil pengolahan data angket ditemukan bahwa rata-rata  kompetensi profesionalitas dosen sebesar 71,48, dan fasilitas belajar  rata-rata 49,01. Indeks Prestasi Kumulatif Mahasiswa Program Studi Tadris Matematika mempunyai rata-rata 3,25. Hasil uji hipotesis menyimpulkan bahwa Kompetensi Profesionalitas Dosen berkontribusi positif dan signifikan terhadap indeks prestasi kumulatif mahasiswa Program Studi Tadris Matematika FTK UIN Imam Bonjol Padang dengan koefisien korelasi kuat sebesar 0,717. Fasilitas Belajar berkontribusi positif dan signifikan terhadap indeks prestasi kumulatif dengan koefisien korelasi rendah sebesar 0,320. Kompetensi profesionalitas dosen dan fasilitas belajar secara bersama-sama berkontribusi  positif dan signifikan terhadap indeks prestasi kumulatif mahasiswa Program Studi Tadris Matematika FTK UIN Imam Bonjol Padang dengan koefisien korelasi  kuat sebesar 0,740. Berdasarkan uji hipotesis disimpulkan bahwa kompetensi profesionalitas dosen dan fasilitas belajar berpengaruh pada indeks prestasi kumulatif mahasiswa Program Studi Tadris Matematika FTK UIN Imam Bonjol Padang.AbstractThis study aims to determine the effect of professional competence of lecturers and learning facilities on student cumulative achievement index of the Mathematics Tadris Study Program, FTK, UIN Imam Bonjol Padang. This research is quantitative with an associative descriptive method, the independent variable is the professional competence of lecturers () and learning facilities () and the dependent variable is the student cumulative achievement index (y). The research instrument is a questionnaire of professional competence of lecturers and learning facilities and student study results sheets. It was found that the average professional competence of lecturers was 71.48, and learning facilities were 49.01. The Student's Grade Point Average in the Mathematics Tadris Study Program has an average of 3.25. Hypothesis result of test concluded that the Lecturer Professional Competence contributed positively and significantly to the cumulative achievement index of the students of the Mathematics Tadris Study Program, UIN Imam Bonjol Padang with a strong correlation coefficient of 0.717. Learning facilities contribute positively and significantly to cumulative achievement index with a low correlation coefficient of 0.320. Professional competence of lecturers and learning facilities jointly contribu","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENGARUH LUAS LAHAN DAN PRODUKTIVITAS TERHADAP HASIL PRODUKSI KELAPA SAWIT MENGGUNAKAN METODE COBB DOUGLASS (STUDI KASUS: PTPN V, PEKANBARU)","authors":"Elfira - Safitri, Sri Basriati, Kiki Nur Indah Sari","doi":"10.15548/map.v2i2.2266","DOIUrl":"https://doi.org/10.15548/map.v2i2.2266","url":null,"abstract":"Penggunaan minyak kelapa sawit terus meningkat seiring dengan pertumbuhan penduduk dunia. Perkembangan teknologi produksi dan peningkatan tingkat konsumsi penduduk, diperkirakan bahwa penggunaan minyak kelapa sawit akan terus meningkat. Penelitian ini bertujuan untuk mengetahui pengaruh luas lahan dan produktivitas terhadap hasil produksi kelapa sawit. Adapun metode yang digunakan adalah metode Cobb Douglass. Berdasarkan hasil pengolahan data diperoleh hasil uji asumsi klasik menunjukkan bahwa pengaruh luas lahan dan produktivitas terhadap hasil produksi kelapa sawit terbebas dari gejala multikolineritas, autokorelasi, heteroskedastisitas dan normalitas. Hasil koefisien determinasi dapat dijelaskan bahwa presentase sumbangan pengaruh yang diberikan variabel independen terhadap variabel dependen sebesar 99,6%. Pengolahan data menggunakan software SPSS versi 16.0 diperoleh  kesimpulan bahwa luas lahan dan produktivitas memiliki pengaruh terhadap hasil produksi kelapa sawit AbstractThe use of palm oil continues to increase along with the growth of the world's population, the development of production technology and the increase in the level of population consumption, it is estimated that the use of palm oil will continue to increase. This study aims to determine the effect of land area and productivity on oil palm production. The method used is the Cobb Douglas method. Based on the results of data processing, the classical assumption test results show that the effect of land area and productivity on oil palm production is free from the symptoms of multicolinearity, autocorrelation, heteroscedasticity and normality. The results of the coefficient of determination can be explained that the percentage contribution of the influence given by the independent variable to the dependent variable is 99.6%. Data processing using SPSS version 16.0 software, it can be concluded that land area and productivity have an influence on oil palm production.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130785624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MODEL MATEMATIKA SEIRS-SEI PADA PENYEBARAN PENYAKIT DEMAM BERDARAH DENGUE DENGAN PENGARUH SUHU","authors":"La Ode Sabran, Miftahul Jannah","doi":"10.15548/map.v2i2.2267","DOIUrl":"https://doi.org/10.15548/map.v2i2.2267","url":null,"abstract":"Penyakit Demam Berdarah (DBD) adalah penyakit menular yang disebabkan oleh virus dengue dan ditularkan melalui gigitan nyamuk. Penyakit ini banyak berkembang di daerah tropis dan sub-tropis seperti Indonesia. Ada dua populasi makhluk hidup yang terlibat dalam penyebaran penyakit DBD yaitu manusia yang disebut host dan nyamuk Aedes Aegypti betina yang disebut sebagai vector pembawa virus dengue. Oleh karena itu, penyebaran penyakit DBD dapat dimodelkan mengikuti model host-vector. Keberadaan vektor nyamuk Aedes Aegypti, sangat mempengaruhi penyebaran dan jumlah kasus terjadinya penyakit DBD. Suhu atau temperatur udara merupakan salah satu faktor lingkungan yang mempengaruhi kehidupan nyamuk Aedes Aegypti. Dalam penelitian ini akan dilakukan konstruksi model transmisi penyebaran penyakit Demam Berdarah dengan Model SEIR-SEI yang dipengaruhi oleh suhu. Selanjutnya dilakukan analisis dinamik dari model transmisi penyakit DBD yang dipengaruhi oleh suhu dari nyamuk ke manusia. Dengan menggunakan software matematika Maple 17, diperoleh hasil simulasi numerik Model SEIRS-SEI menunjukkan bahwa suhu sangat mempengaruhi penurunan atau peningkatan populasi nyamuk terhadap penyebaran penyakit demam berdarah.AbstractDengue Fever (DHF) is a contagious disease caused by the dengue virus and transmitted through mosquito bites. This disease develops in many tropical and sub-tropical areas such as Indonesia. There are two populations of living things that are involved in the spread of dengue, namely humans, called the host and female Aedes aegypti mosquitoes, which are known as vectors of the dengue virus. Therefore, the spread of dengue can be modeled following the host-vector model. The existence of the Aedes Aegypti mosquito vector greatly affects the spread and number of cases of dengue fever. Temperature or air temperature is one of the environmental factors that affect the life of the Aedes Aegypti mosquito. In this study, the construction of a model of transmission of the spread of Dengue Fever with the SEIR-SEI Model which is one of the environmental factors that affect the life of the Aedes Aegypti mosquito. In this study, the construction of a model of transmission of the spread of Dengue Fever with the SEIR-SEI Model which is influenced by temperature will be constructed. Furthermore, a dynamic analysis of the dengue transmission model which is influenced by temperature from mosquitoes to humans is carried out. By using the Maple 17 mathematical software, the numerical simulation results of the SEIRS-SEI Model show that temperature greatly affects the decline or increase in mosquito populations against the spread of dengue fever.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"360 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENERAPAN GERAK BROWN GEOMETRIK PADA DATA SAHAM PT. ANTM","authors":"Darvi Mailisa Putri, Lilis Harianti Hasibuan","doi":"10.15548/map.v2i2.2258","DOIUrl":"https://doi.org/10.15548/map.v2i2.2258","url":null,"abstract":"Penelitian ini akan mengkaji aplikasi gerak Brown geometrik pada data harga saham PT. Antm. Data harga saham yang digunakan adalah data harga saham penutupan dari tanggal 02 Januari 2019 sampai dengan 30 Desember 2019 dengan periode harian. Dalam mengaplikasikan data harga saham PT. Antm pada gerak Brown geometrik diperlukan nilai return harga saham yang memenuhi asumsi dari gerak Brown geometrik. Selanjutnya melalui parameter-parameter yang diperoleh dari return harga saham dan membangkitkan data berdistribusi normal atau  sebanyak data yang diamati dan harga awal yang telah diketahui maka didapat plot hasil dari data harga saham PT. Antm yang telah memenuhi asumsi gerak Brown geometik.AbstractThis research will examine the application of geometric Brownian motion on the stock price of  PT. Antm. The stock price data used is the closing stock price data from January 02nd 2019 to December 30th 2019 with a daily period. In applying the stock price of PT. Antm on geometric Brownian motion requires a stock price return value that satisfies the assumptions of geometric Brownian motion. Futhermore, through the parameters obtained from the stock price return and generate normally distributed data or   as much as the observed data and the known intial price, then we get the plot of  PT. Antm has fulfilled the assumption of geometric Brownian motion.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PENERAPAN METODE FUZZY SUGENO DALAM MENENTUKAN JUMLAH PEMBIAYAAN RAHN BERDASARKAN JUMLAH NASABAH DAN HARGA EMAS","authors":"Rahmawati Rahmawati, Ade Novia Rahma, Hernita Hernita","doi":"10.15548/map.v2i2.2263","DOIUrl":"https://doi.org/10.15548/map.v2i2.2263","url":null,"abstract":"Penelitian ini bertujuan untuk menentukan jumlah Pembiayaan Rahn berdasarkan Jumlah Nasabah dan Harga Emas di Pegadaian Syariah Cabang Subrantas Unit Pandau Pekanbaru. Metode yang digunakan dalam menentukan jumlah Pembiayaan Rahn adalah metode fuzzy Sugeno yang merupakan salah satu Fuzzy Inference System. Hasil dari penelitian ini menunjukkan bahwa prediksi jumlah Pembiayaan Rahn dengan tingkat kebenaran sebesar 73%. Hal ini berarti dengan menggunakan metode fuzzy Sugeno memperoleh hasil peramalan yang cukup baik.AbstractThis study aims to determine the amount of Rahn Financing based on the number of customers and the price of gold at the Sharia Pawnshop Subrantas Unit Pandau Pekanbaru. The method used in determining the amount of Rahn's Financing is Sugeno fuzzy method which is one of the Fuzzy Inference System. The results of this study indicate that the prediction of the amount of Rahn Financing with a level of truth is 73%. This means that using the fuzzy Sugeno method obtains fairly good forecasting results.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127646523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DISTRIBUSI PANAS PADA KAWAT TEMBAGA SILINDER DENGAN ARUS LISTRIK","authors":"Rofila El maghfiroh, M. B. Zaman","doi":"10.15548/map.v2i2.2262","DOIUrl":"https://doi.org/10.15548/map.v2i2.2262","url":null,"abstract":"Permasalahan terapan (mekanik, sipil, kimia ataupun listrik), sangat berkaitan dengan penggunaan material, misalnya tembaga. Material tembaga memiliki konduktivitas listrik dan panas yang baik. Distribusi panas kawat tembaga dapat diketahui dengan melakukan analisis numerik pada persamaan konduksi panas dengan arus listrik sebagai sumber panas. Analisis numerik dilakukan dengan skema beda hingga pusat yang diterapkan pada metode Crank-Nicolson. Suhu maksimum kawat tembaga meningkat, tetapi perubahan suhu menurun dengan rata-rata 3,55% disetiap level waktu yaitu 15 menit. Prediksi suhu maksimum kawat tembaga selama 24 jam sesuai pendekatan fungsi logaritma f(x) = 1,9023 lnx + 20,176.AbstractThe applicable problems (mechanical, legal, chemical or electrical) are closely linked to the use of materials such as copper. Copper material has excellent electrical and thermal conductivity. It is possible to determine the heat distribution of copper wire by conducting numerical analysis on the heat conduction equation with electric current as a heat source. Numerical research was performed with a central differencing scheme applied to the Crank-Nicolson method. The maximum temperature of copper wire increased, but the heat change decreased by an average of 3.55% at each time level, namely 15 minutes. Predict the maximum temperature of copper wire for 24 hours according to the approximate logarithmic function f (x) = 1.9023 lnx + 20.176.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126732764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PEMODELAN RANTAI MARKOV MENGGUNAKAN ALGORITMA METROPOLIS-HASTINGS","authors":"Harizahayu Harizahayu","doi":"10.15548/map.v2i2.2259","DOIUrl":"https://doi.org/10.15548/map.v2i2.2259","url":null,"abstract":"Pada tulisan ini akan dijelaskan bentuk distribusi posterior P(probabilitas klaim) = Beta (β│α) dengan proses simulasi implementasi algoritma yang disederhanakan dan penerapan algoritma Markov Chain Monte Carlo dengan mengunkan analisis sistem Bayes dengan pendekatan model Markov Monte Carlo. Algoritma Markov Chain Monte Carlo adalah suatu kelas algoritma untuk melakukan sampling dari distribusi probabilitas dengan membangun rantai Markov pada suatu distribusi tertentu yang stasioner. Algoritma Metropolis merupakan algoritma untuk membangkitkan barisan sampel menggunakan mekanisme penerimaan dan penolakan (accept-reject) dari suatu distribusi probabilitas yang sulit untuk dilakukan penarikan sampel. Penggunaan perangkat lunak R sebagai media untuk mengeksplorasi algoritma dan diagnostik yang umum untuk implementasi MCMC. Hampir semua program dapat dijalankan dengan fungsionalitas dasar R yang berarti tidak diperlukan overhead penyetelan untuk menjalankan blok kode selain versi kerja R dan tersedia gratis secara online untuk semua sistem operasi.AbstractIn this paper, we will describe the form of the posterior distribution of  (claim probability) =  with A simplified algorithm implementation simulation process and the application of the Markov Chain Monte Carlo algorithm are given by the Bayes system analysis with the Markov Monte Carlo model approach. The Monte Carlo algorithm of the Markov Chain is a class of algorithms for sampling the distribution of probability through the construction of a Markov chain in a particular stationary distribution. The Metropolis-Hastings algorithm is an algorithm used to produce sample sequences from a probability distribution that is difficult for sampling using an accept-reject mechanism. Usage of R program as a platform for MCMC implementations to explore popular algorithms and diagnostics. It is possible to run almost any program with simple R features, which means that no overhead configuration is needed to run code blocks other than the working version of R, and all operating systems are available online free of charge.","PeriodicalId":394491,"journal":{"name":"MAp (Mathematics and Applications) Journal","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}