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All Journal FORUM STATISTIKA DAN KOMPUTASI Media Statistika Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi JUITA : Jurnal Informatika Kubik KEUNIS Sinkron : Jurnal dan Penelitian Teknik Informatika Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) Teorema: Teori dan Riset Matematika Krea-TIF: Jurnal Teknik Informatika Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jambura Journal of Mathematics Inferensi InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika KUBIK: Jurnal Publikasi Ilmiah Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Riset dan Inovasi Pembelajaran PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) VARIANSI: Journal of Statistics and Its Application on Teaching and Research Xplore: Journal of Statistics Indonesian Journal of Statistics and Its Applications Jurnal Info Kesehatan Limits: Journal of Mathematics and Its Applications
Erfiani Erfiani
Pogram Studi Statistika Dan Sains Data, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PERBANDINGAN PEMULUSAN KERNEL DAN SPLINE Erfiani Erfiani; Aji Hamim Wigena; Aunuddin Aunuddin
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 3, No 1 (2003)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v3i1.526

Abstract

Pendugaan kepekatan kernel dan spline termasuk pendugaan kepekatan nonparametrik.Perilaku pemulus spline terletak dipertengahan antara pemulus kernel yang konstan dan pemulus kernel yang tidak konstan. Padakasus n besar dan λ tertentu fungsi pembobot spline dapat didekati oleh fungsi kernel. Perbandingan pemulus spline dan kernelsecara empirik dilakukan dengan menggunakan data simulasi yang dicobakan pada berbagai lebar jendela kernel serta fungsispline pada berbagai jumlah knot.
Beberapa Metode Pendekatan untuk Model Kalibrasi Gingerol Erfiani Erfiani
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 8, No 1 (2008)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v8i1.978

Abstract

Model Kalibrasi adalah suatu fungsi matematik dengan data empirik dan pengetahuan untukmenduga informasi pada y yang tidak diketahui berdasarkan informasi pada X yang tersedia(Martens dan Naes 1989). Dalam bidang kimia, model kalibrasi merupakan suatu fungsi hubunganantara absorban (X) pada panjang gelombang yang dihasilkan oleh spektrometer dengan konsentrasi(y) larutan unsur atau senyawa yang akan dianalisis (Nur dan Adijuwana, 1989). Dengan kalibrasi,konsentrasi larutan contoh dapat diketahui berdasarkan absorbannya. Beberapa penelitian telahdilakukakan untuk menyusun model kalibrasi Gingerol. Hasil Penelitian menunjukkan daribeberapa pendekatan yang dicobakan diperoleh nila Root Mean Squares Error of Prediction (RMSEP)masing-masing sebagai berikut: Regresi Komponen Utama (0.1096), metode Transformasi WaveletDiskret (0.1072), Pendekatan Bayes (0.0622), Regresi Sinyal P-spline (0.0686) dan Regresi Kontinum(0.0453). Regresi Kontinum dengan melakukan pre-processing Transformasi Wavelet Diskretternyata memberikan hasil nilai RMSEP terkecil dan persentase R2y vs yˆ terbesar dibandingkanpendekatan lainnya.
Backwards Stepwise Binary Logistic Regression for Determination Population Growth Rate Factor in Java Island Khusnia Nurul Khikmah; Indahwati Indahwati; Anwar Fitrianto; Erfiani Erfiani; Reni Amelia
Jambura Journal of Mathematics Vol 4, No 2: July 2022
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1332.021 KB) | DOI: 10.34312/jjom.v4i2.13529

Abstract

The high population growth rate can impact various fields due to several factors. Some of the impacts of this high rate are high poverty rates, unemployment, consumption levels, inequality in education figures, gender empowerment index, and increasingly narrow land or area. Therefore, research on the rate of population growth using data on poverty, unemployment, consumption levels, education rates, gender empowerment index, and area makes sense. This data was taken from the official website of the Central Statistics Agency for six provinces on the island of Java, Indonesia. The data used contains missing data so that the missing data is presumed by using the k-nearest neighbour method. The estimated missing data values were modelled using binary logistic regression. Variables that significantly affect the rate of population growth, namely the level of consumption, gender empowerment index, and area, are obtained using the backward stepwise method and are selected based on the smallest Aikakes criterion information value or the one with the most excellent accuracy rate. 
Pemodelan Data Kelahiran Anak Pertama Menggunakan Regresi Cox Proportional Hazard Mahfuz Hudori; Erfiani Erfiani; Muhammad Nur Aidi
SAINTIFIK Vol 7 No 1 (2021): Jurnal Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v7i1.279

Abstract

Setiap pasangan yang baru menikah memiliki waktu tunggu yang berbeda-beda untuk mendapatkan anak pertama. Perbedan waktu tunggu tersebut dapat disebabkan oleh adanya faktor internal atau eksternal dari pasangan yang baru menikah. Waktu yang dibutuhkan oleh setiap pasangan yang baru menikah sampai mendapatkan anak pertama merupakan bentuk dari survival time. Menganalisis hubungan antara survival time dan variabel bebas dapat dilakukan menggunakan model regresi cox proportional hazard. Berdasarkan penelitian yang dilakukan, variabel bebas yang memberikan pengaruh nyata (α=5%) terhadap waktu tunggu sampai mendapatkan anak pertama bagi pasangan yang baru menikah di Provinsi Lampung adalah variabel tempat tinggal, tingkat pendidikan, pengetahuan tentang kesehatan kehamilan dan usia pada saat menikah
ANALISIS STATISTIK EFISIENSI ENERGI PENGGUNAAN TUNGKU SEKAM SEBAGAI BAHAN BAKAR ALTERNATIF RUMAH TANGGA Yulia Christina; Anissa Tsalsabila; Deti Anggraeni Ekawati; Fanny Amalia; Ratih Dwi Septiani; Novitri Novitri; Tetinia Gulo; Ahmad Khairul Reza; Retno Dwi Jayanti; Erfiani Erfiani; Irzaman Irzaman
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 5 (2016): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2016
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.159 KB) | DOI: 10.21009/0305020219

Abstract

Fuel usage in households commonly used in all levels of society. Has become a daily needs of households in the use of fuels, especially for cooking. Today, the limited supply of fuel gas causes the transition to alternative fuels such as rice husk furnace. Rice husk furnace is a medium that uses materials rice husk. Rice husk furnace produces an average value of efficiency reached 4.64% when the water used by 1 kg, 4,16% at 1,5 kg and 6,57% when water used weighin 2 kg. This efficiency value can be analyzed using a completely randomized design. This is because a completely randomized design is easier to analyze the data, especially research conducted in the laboratory. Keywords: Fuel, rice husk, rice husk furnace, efficiency, completely randomized design.
Rancangan G-Optimal pada Peningkatan Kadar Kemurnian Silikon Dioksida Nindya Wulandari; Erfiani Erfiani; Irzaman Irzaman; Utami Dyah Syafitri
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 19 No. 2 (2022): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v19i2.9492

Abstract

Rancangan percobaan merupakan serangkaian uji yang bertujuan mengamati dan mengidentifikasi perubahan-perubahan pada output respon disebabkan oleh perubahan-perubahan pada variabel input dari suatu proses. Penelitian ini bertujuan untuk mendapatkan rancangan terbaik untuk peningkatan kadar SiO2. Silikon Dioksida (SiO2) merupakan salah satu mineral yang paling banyak ditemukan di bumi. SiO2 banyak digunakan di berbagai bidang sehingga ketersediaannya semakin berkurang. Prosedur kemurnian dapat digunakan untuk meningkatkan kemurnian silika yang memiliki kualitas rendah dengan mengubah suhu dan laju kenaikan suhu. Metode yang digunakan adalah desain G-optimal menggunakan algoritma Variable Neighborhood Search (VNS). Model yang digunakan dalam meningkatkan kemurnian silikon dioksida adalah model non-linier yang mengikuti distribusi eksponensial decay. Titik rancangan terbaik yang diperoleh dari rancangan G-optimal pada hubungan antara suhu (oC) dan laju kenaikan suhu (oC/menit) yaitu titik  800 ­oC  hingga 900 ­oC adalah kombinasi titik  800 ­oC dan 1,67 oC/menit, 800 ­oC dan 2,17 oC/menit, 815 oC dan 4,67 oC/menit, 825 ­oC dan 4,17 oC/menit, 835 ­oC dan 5 oC/menit, 855 ­oC dan 2,17 oC/menit, 880 ­oC dan 2,34 oC/menit, 895 ­oC dan 4,67 oC/menit,  serta 900 oC dan 4 oC/menit dengan nilai G-efisiensinya adalah 96,09%.
Synthetic Minority Oversampling Technique Pada Model Logit dan Probit Status Pengangguran Terdidik Fatimah Fatimah; Anwar Fitrianto; Indahwati Indahwati; Erfiani Erfiani; Khusnia Nurul Khikmah
Jambura Journal of Mathematics Vol 5, No 1: February 2023
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjom.v5i1.17050

Abstract

Educated unemployment is caused by a misalignment of educational development planning and employment development, resulting in underemployed graduates from various educational institutions. Unemployment data in DKI Jakarta shows an unequal class. Unbalanced data is a severe problem of modeling because it can cause prediction errors that affect the accuracy of the resulting model. Using SMOTE to handle unbalanced data will likely increase the model’s accuracy. This study aims to find the best model for identifying the factors influencing the status of educated unemployment using logit and probit models and handling unbalanced data using SMOTE. The results showed that the independent variables that affect the status of educated unemployment in the logit and probit models are the same: age group and participation in training. The independent variables that affect the status of educated unemployment in the logit and probit models with SMOTE are also the same: age group, marital status, and participation in training. Unbalanced data handling using SMOTE can increase the balanced accuracy value significantly. Balanced accuracy values for the logit and probit models with SMOTE are higher than the logit and probit models without SMOTE. The logit model with SMOTE is the best because it has the highest balanced accuracy value compared to other models. According to the logit model with SMOTE, the educated unemployed in DKI Jakarta are young and have never married. There is a need for the government to play a role in improving the quality of educational institutions in producing graduates who meet company qualifications and can be hired by employers. Unemployed people who have attended the training, despite having a higher education, may also become unemployed. The training provided has not been able to reduce the unemployment rate. As a result, the government should be able to provide training to improve entrepreneurship skills while also providing capital in the form of business loans to reduce educated unemployment.
Penetapan Ekstrakurikuler Wajib untuk Siswa Sekolah Menengah Atas Berdasarkan Kecerdasan Majemuk Muggy David Cristian Ginzel; Asep Saefuddin; Erfiani Erfiani
Xplore: Journal of Statistics Vol. 9 No. 1 (2020)
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.269 KB) | DOI: 10.29244/xplore.v9i1.232

Abstract

Senior high school in Indonesia is divided into two groups, namely Natural science and Social science. Those grouping of majors is allegedly not appropriate enough the potential of students yet because of the multiple intelligence of each student is different. This study aims to establish an extracurricular program for everyone grouped by multiple intelligences carried out by each student. The method used in this study are the non-hierarchical clustering k-Means and hierarchical clustering Ward method. The k-Means method used to determine the effective number of groups, while Ward method used to identify the member of each cluster and the recommendation of extracurricular in the cluster obtained. Based on the results of the clustering analysis, there are five clusters obtained, Language and Fine Arts; Communication; Leadership; Nature Lovers; and also Design and Photography.
Penerapan Structural Equation Modelling-Partial Least Squares pada Faktor Kemiskinan di Jawa Tengah Arini Annisa Adi; Mohammad Masjkur; Erfiani Erfiani
Xplore: Journal of Statistics Vol. 11 No. 2 (2022):
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.609 KB) | DOI: 10.29244/xplore.v11i2.875

Abstract

The number of poverty-stricken people in Central Java in March 2020 was 3.98 million people (11.41%), the second-largest in Java. The approximately high number of poverty-stricken people is a priority for the government to reduce poverty. One of the solutions to reduce poverty is knowing the factors that may affect it. The purpose of this study is to identify the factors that affected poverty in Central Java using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. This study used data from districts/ cities in Central Java in 2020. In this case, there is one exogenous latent variable for health and three endogenous latent variables for poverty, economy, and human resources. The problem encountered that the observed data is relatively small, specifically for 35 observations and the data distribution is suspected not fulfilled the normal assumptions. In conclusion, the appropriate analysis used in this study is Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results showed that the economic latent variable had a positive but not significant effect on the latent variable of poverty, Human Resources also had a positive but not significant effect, while the latent health variable had a negative and significant effect on the latent variable of poverty. The Q2 value for the latent variable of poverty is 0.333, this shows that 33.3% of the diversity of the latent variable of poverty can be explained by the latent variables of economy, health, and human resources.
Klasifikasi Kadar Glukosa Darah Keluaran Alat Non-invasif Menggunakan Regresi Logistik Ordinal dengan Peringkasan Luas Yuniar Istiqomah; Erfiani Erfiani; Utami Dyah Syafitri
Xplore: Journal of Statistics Vol. 12 No. 1 (2023): Vol. 12 No. 1 (2023)
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.884 KB) | DOI: 10.29244/xplore.v12i1.1078

Abstract

Diabetes Mellitus (DM) is the silent killer because its symptoms tend to go unnoticed. The IPB Non-Invasive Biomarking Team developed a non-invasive monitoring device to check blood. The tool uses the spectroscopy principle and produces an output in the form of a residual value of light intensity. A method is needed to predict the category of blood glucose levels based on the measurement results of non-invasive tools. Classification modeling is one of the methods that can be used to analyze the relationship between the blood glucose level class of invasive measurement results and the residual value of the intensity of non-invasive measurement results. One of the commonly used classification methods is ordinal logistic regression. Light spectrum-based data used as predictor X changes often provide changes that correlate with each other. The principal component analysis reduces its dimensions to become a new set of changes that do not correlate. Graph area summation in the period is the best summarization method because it can take advantage of the general data information. This study uses the ordinal logistic regression method as a modeling method by applying principal component analysis and graph area summation applied to 2017 data and 2019 data. Classification modeling in the 2017 data had a balanced accuracy value of 64,64%. Classification modeling in the 2019 data produced a balanced accuracy value of 57,57%. The design used in the 2017 tool and the 2019 tool is different, causing the residual intensity graph of the non-invasive measurement results to be read differently. The 2017 data model is better applied to homogeneous data and the 2019 data model is better applied to heterogeneous data.
Co-Authors . Aunuddin A. A., Muftih Abd. Rahman Abqorunnisa, Farah Agung Tri Utomo Agus Mohamad Soleh Ahmad Khairul Reza Ahmad Nur Rohman Ahmad Syauqi Aji Hamim Wigena Alamanda, Dinda Aprilia Alfa Nugraha Pradana Alfa Nugraha Pradana Alfa Nugraha Pradana Aliu, Mufthi Alwi ALIU, MUFTIH ALWI Amatullah, Fida Fariha Amelia, Reni Aminah Aminah Anadra, Rahmi Anang Kurnia Anik Djuraidah Anissa Tsalsabila Ardhani, Rizky Arini Annisa Adi Aristawidya, Rafika ASEP SAEFUDDIN Asri Pratiwi, Asri Assyifa Lala Pratiwi Hamid Aunuddin . Aunuddin Aunuddin Azis, Tukhfatur Rizmah Bagus Sartono Bartho Sihombing Bimawan Sudarmoko Budi Susetyo Daswati, Oktaviyani Daulay, Nurmai Syaroh Deti Anggraeni Ekawati Dian Kusumaningrum Dini Ramadhani Dwi Jumansyah, L.M. Risman Dwi Putri Kurniasari Fanny Amalia Farit M Afendi Farly Shabahul Khairi Fatimah Fatimah Fauziah, Monica Rahma Fitrianto, Anwar Freza Riana Fulazzaky, Tahira Hamim Wigena, Aji Hari Wijayanto Harismahyanti A., Andi Hasnataeni, Yunia Herlin Fransiska Hilda Zaikarina I Made Sumertajaya Ihsan, Muhammad Taufik Ilmani, Erdanisa Aghnia Indah, Yunna Mentari Indahwati Irzaman, Irzaman Ismah, Ismah Julianti, Elisa D Jumansyah, L. M. Risman Dwi Jumansyah, L.M. Risman Dwi Khikmah, Khusnia Nurul Khusnia Nurul Khikmah Lestari, Nila Made Agung Prebawa Parama Artha Mahfuz Hudori Marshelle, Sean Megawati Megawati Misrika, Dahlia Mohammad Masjkur Muggy David Cristian Ginzel Muhammad Nur Aidi mutiah, siti Nadira Nisa Alwani Nenden Rahayu Puspitasari Novitri Novitri Nugraha, Adhiyatma Nur Khamidah Nurul Fadhilah Pardomuan Robinson Sihombing Qalbi, Asyifah R, Arifuddin Rahmatun Nisa, Rahmatun Ramadhani, Dini Ratih Dwi Septiani Reka Agustia Astari Reni Amelia Retno Dwi Jayanti Rika Rachmawati Riska Asri Pertiwi Siregar, Indra Rivaldi Sofia Octaviana Tetinia Gulo Tiara, Yesan Umam Hidayaturrohman Uswatun Hasanah Utami Dyah Syafitri Vitona, Desi Waode, Yully Sofyah Wati, Wahyuni Kencana Weisha, Ghea Wigena, Aji Wijaya, Ferdian Bangkit Winda Chairani Mastuti Windi D.Y Putri Yulia Christina Yuniar Istiqomah Zaima Nurrusydah