Mantik Jurnal Matematika最新文献_第6页

Peramalan Kebutuhan Daya Listrik Menggunakan Model ARIMA dan Fungsi Transfer (Studi Kasus: PT. PLN (Persero) Area Sumbawa) 电力需求模型使用ARIMA和转移功能(案例研究:PT. PLN (Persero)采集区

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.122-127

M. Mikhratunnisa, Trihana Susilawati

引用次数: 1

Penyelesaian Sistem Persamaan Linier Fully Fuzzy Menggunakan Metode Dekomposisi Nilai Singular (SVD) 完整的线性方程解系统使用奇异值分解方法(SVD)

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/mantik.2018.4.2.143-149

C. C. Marzuki, A. Agustian, Dewi Hariati, Junitis Afmilda, Nurul Husna, P. Nanda

引用次数: 2

Regresi Nonparametrik dengan Pendekatan Deret Fourier pada Data Debit Air Sungai Citarum

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.75-82

Intaniah Ratna Nur Wisisono, Ade Irma Nurwahidah, Yudhie Andriyana

引用次数: 5

Peramalan Jumlah Penumpang Kereta Api di Indonesia dengan Resilient Back-Propagation (Rprop) Neural Network

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.90-99

Mertha Endah Ervina, Rini Silvi, Intaniah Ratna Nur Wisisono

{"title":"Peramalan Jumlah Penumpang Kereta Api di Indonesia dengan Resilient Back-Propagation (Rprop) Neural Network","authors":"Mertha Endah Ervina, Rini Silvi, Intaniah Ratna Nur Wisisono","doi":"10.15642/MANTIK.2018.4.2.90-99","DOIUrl":"https://doi.org/10.15642/MANTIK.2018.4.2.90-99","url":null,"abstract":"Train scheduling affects the level of customer satisfaction and profitability of the train service provider. The prediction method of Back-propagation Neural Network (BPNN) has relatively slow convergence. Therefore, this study uses Resilient Back-propagation (Rprop) because it has a more fast convergence and high accuracy. The model produced is a model for Jabodetabek, Java (non-Jabodetabek), Sumatra, and Indonesia. From the results of data analysis conducted, it can be concluded that the performance of neural network model with Resilient Back-propagation (Rprop) formed from training data gives very accurate prediction accuracy level with mean absolute percentage error (MAPE) less than 10% for each model. Then forecasting for the next 12 months conducted and the results compared with the data testing, Rprop provides a very high forecasting accuracy with MAPE value below 10%. The MAPE value for each forecasting the number of rail passengers is 7.50% for Jabodetabek, 5.89% for Java (non-Jabodetabek), 5.36% for Sumatra and 4.80% for Indonesia. That is, four neural network architectures with Rprop can be used for this case with very accurate forecasting results.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"8 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78332781","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}

引用次数: 3

Analisis Regresi Kuantil B-Splines Monoton Naik pada Hubungan Rata-Rata Lama Sekolah dan Pengeluaran Rumah Tangga Per Kapita di Provinsi Yogyakarta

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.128-136

Yogo Aryo Jatmiko

{"title":"Analisis Regresi Kuantil B-Splines Monoton Naik pada Hubungan Rata-Rata Lama Sekolah dan Pengeluaran Rumah Tangga Per Kapita di Provinsi Yogyakarta","authors":"Yogo Aryo Jatmiko","doi":"10.15642/MANTIK.2018.4.2.128-136","DOIUrl":"https://doi.org/10.15642/MANTIK.2018.4.2.128-136","url":null,"abstract":"The multidimensional problem in various countries that is always become the government's attention is the problem of poverty, Indonesia is no exception. Poverty is often associated with the education sector due to the function of education as a driving force of the transformation of society to break the chain of poverty. The pattern of relations between poverty and the education sector can be seen from the relationship between the level of education (mean years of schooling) and poverty level (per capita household expenditure). DI Yogyakarta is still the province with the largest percentage of poverty on the Java island despite showing a downward trend since 2007. This study aims to look at the relationship between the level of education (mean years of schooling) and poverty level (per capita household expenditure) in DI Yogyakarta Province 2016. The model that is suitable for determining household characteristics is quantile regression with the Increased monotone B-Splines method that links the mean years of schooling and per capita household expenditure. Estimation results based on the quantile regression model with Increased monotone B-Splines method found that households with the lowest education level are said to be very poor households if monthly per capita expenditure is less than 322,205 rupiah and is said to be a poor household if monthly per capita expenditure is between 322,205 rupiah to 426,666 rupiah. Meanwhile, households with the highest level of education are said to be very poor households if monthly per capita expenditure is less than 3,410,965 rupiahs and is said to be a poor household if monthly per capita expenditure is between 3,410,965 rupiahs up to 4,676,718 rupiahs","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"56 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72453210","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}

引用次数: 2

Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kematian Ibu dan Bayi di Provinsi Jawa Tengah Menggunakan Regresi Bivariat Poisson 分析影响爪哇省母亲和婴儿死亡人数的因素，使用双瓦里亚-泊松回归

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.110-115

Mutiara Widhika Astuti, A’yunin Sofro

{"title":"Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kematian Ibu dan Bayi di Provinsi Jawa Tengah Menggunakan Regresi Bivariat Poisson","authors":"Mutiara Widhika Astuti, A’yunin Sofro","doi":"10.15642/MANTIK.2018.4.2.110-115","DOIUrl":"https://doi.org/10.15642/MANTIK.2018.4.2.110-115","url":null,"abstract":"Maternal and infant mortality are two correlated subjects, because during pregnancy the mother's placenta distributes nutrients to the fetus so the baby born is affected by the condition of his mother. Central Java has significant maternal and neonatal mortality rates in Indonesia. In this case, need a research to analyze the factors that influence maternal and infant mortality using Bivariate Poisson Regression (BPR) method. BPR is the right method because it can reconfirm two data that are correlated with Poisson distribution. This study produced three models. The first model is the maternal mortality rate has several significant factors, including pregnant women implementing the K1 and K4 program, vitamin A to postpartum mothers, pregnant women getting Fe tablets, and midwifery handle complications. The second model is the infant deaths that have factors pregnant women implementing the K4 program, helped assistance by medical team, postpartum mothers receiving vitamin A, pregnant women getting Fe tablets, complications handled by midwifery, and KB participants. The final model involves maternal and infant mortality. Significant factors are pregnant women implementing the K1 program, pregnant women implementing the K4 program, giving vitamin A to postpartum mothers, and KB participants.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80876614","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}

引用次数: 0

Penerapan Non-Linier Support Vector Machine pada Penggunaan Alat Kontrasepsi di Provinsi Maluku Utara

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/mantik.2018.4.2.137-142

Muhamad Budiman Johra Johra

{"title":"Penerapan Non-Linier Support Vector Machine pada Penggunaan Alat Kontrasepsi di Provinsi Maluku Utara","authors":"Muhamad Budiman Johra Johra","doi":"10.15642/mantik.2018.4.2.137-142","DOIUrl":"https://doi.org/10.15642/mantik.2018.4.2.137-142","url":null,"abstract":"The objective of BKKBN is to reduce the rate of population growth because the high population growth rate causes a high population quantity as well. According to the Departemen Kesehatan RI (2013), married women aged 15-49 years who are not use contraseption mostly in eastern Indonesia, one of them is Provinsi Maluku Utara. According to BKKBN Provinsi Maluku Utara, the birth rate increased from 57.4 to 57.9. This happens because many KB participants are drop out, contraceptive failure and side effects, the need for family planning is served 9.1 in 2007 to 8.5 in 2012 with a target of 5 in 2014. Therefore, it important to know determinant factors that affect women to use contraceptives. There are several methods in the classification, one of which is the Support Vector Machine (SVM). SVM has advantages over other classification methods because the Support Vector Machine not only minimizes errors in the trainset, but also has a high generalization capability. This is reflected in maximal margin selection. This study shows the Support Vector Machine can describe the decision of women to use contraception or not. The best kernel in this study is a radial base kernel with cost 1 and gamma 0.14286.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91036562","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}

引用次数: 1

Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine 模糊c均值、灰度共生矩阵和支持向量机

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.83-89

D. C. R. Novitasari

引用次数: 11

Analisis Strategi Penjualan Stok Spare Part di PT. Fajar Mas Murni Surabaya PT. Fajar Mas纯泗水库存库存部分的销售策略分析

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.100-109

I. Purwanti, Yuniarsih Farida

{"title":"Analisis Strategi Penjualan Stok Spare Part di PT. Fajar Mas Murni Surabaya","authors":"I. Purwanti, Yuniarsih Farida","doi":"10.15642/MANTIK.2018.4.2.100-109","DOIUrl":"https://doi.org/10.15642/MANTIK.2018.4.2.100-109","url":null,"abstract":"Penelitian ini menggunakan studi kasus pada PT Fajar Mas Murni Surabaya yang bertujuan untuk mengklasifikasikan masing-masing item stok spare part dengan pendekatan matriks BCG guna menentukan strategi penjualan stok item spare part. Hasil klasifikasi dengan matriks BCG diperoleh 6.60% item termasuk dalam kuadran stars yang menyumbang omzet 80.67% bagi perusahaan, 15.57% item termasuk dalam kuadran question marks yang menyumbang omzet 14.95% bagi perusahaan, 71.70% item termasuk dalam kuadran dogs yang menyumbang omzet hanya 1.87% bagi perusahaan, dan 6.13% termasuk dalam kuadran cash cows yang menyumbang omzet 2.50% bagi perusahaan. Analisis strategi yang sebaiknya dilakukan pada kuadran stars adalah dengan melakukan forecasting penjualan untuk menjaga kontinuitas stok spare part, pada kuadran question marks yang sebaiknya dilakukan adalah mengembangkan nilai penjualan dengan menjual item secara diskon agar terjadi peningkatan volume penjualan dan dapat menghabiskan stok, sedangkan pada kuadran dogs alternatif strategi yang sebaiknya dilakukan adalah lebih meningkatkan kegiatan promosi dari item-item tersebut, dan pada kuadran cash cows adalah dengan mempertahankan penjualan. Kemudian dilakukan forecasting penjualan pada item stok spare part kuadran stars tahun 2018 agar tetap terjaga kontinuitasnya dengan menggunakan metode trend (T) rata-rata bergerak dengan variasi siklus (C), variasi musim (S), dan gerak tak beraturan (I) karena memberikan nilai MAPE yang lebih kecil yaitu 23% dan 27% ketika hanya menggunakan metode trend.","PeriodicalId":32704,"journal":{"name":"Mantik Jurnal Matematika","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81495603","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}

引用次数: 1

Sebarang Pembangun Subgrup Siklik Dari Suatu Grup (Zn,+) 一个集团的循环子组构建器(Zn +)

Mantik Jurnal Matematika Pub Date : 2018-10-31 DOI: 10.15642/MANTIK.2018.4.2.116-121

Indra Bayu Muktyas, Samsul Arifin

引用次数: 3