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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Ilmiah Farmasi EKSAKTA: Journal of Sciences and Data Analysis Jurnal Fakultas Ekonomi : OPTIMAL Jurnal Ilmu Dasar Jurnal Matematika & Sains Economic Education Analysis Journal Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Jurnal Pendidikan Ekonomi Jurnal Pemberdayaan Masyarakat Madani (JPMM) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Unisda Journal of Mathematics and Computer Science (UJMC) JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN JURNAL PENA EDUKASI Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran Jurnal Pendidikan Administrasi Perkantoran (JPAP) Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Jurnal Pendidikan Administrasi Perkantoran (JPAP) Journal of Office Administration : Education and Practice Smart Society: Community Service and Empowerment Journal Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Indonesian Journal of Society Development (IJSD) Journal of Economics Jurnal Inovasi Pendidikan Agama Islam Science and Education Journal JOTTER Pajak dan Manajemen Keuangan Emerging Statistics and Data Science Journal CEJou
Jaka Nugraha
Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Universitas Islam Indonesia
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

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Studi Simulasi Model Nested Logit dan Paired Combinatorial Logit pada Respon Multinomial Jaka Nugraha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 13, ISSUE 1-2, August 2013
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol13.iss1-2.art8

Abstract

Multinomial logit model (MNL) is based on independent irrelevant alternatives assumption. If there was a correlation, MNL would result bias estimator. Correlation among of choices could be accommodated by Nested logit Model (NL) and Paired Combinatorial Logit Model (PCL). This research discuss how NL and PCL model can be used for estimating parameters (regression coefficient and correlation) and comparing to MNL in discrete choice model. Correlation structure is tested nesting correlation and correlation overlap. Paramaters in the models are estimated using maximum likelihood method. Simulated data generated using software R.3.0.1. Based on simulations data with nested correlation, NL model more appropriate than do MNL. But on data with overlapping correlation, the maximum likelihood estimator is not unique.Keywords : Multinomial logit, Nested logit, Paired Combinatorial Logit, maximum likelihood
Model of Community Capacity In Facing Disaster Using Ordinal Logistic Regression Analysis Jaka Nugraha; Fitri Nugraheni; Irwan Nuryana Kurniawan
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 16, ISSUE 1, February 2016
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol16.iss1.art3

Abstract

Indonesia is geographically a country with potential natural disasters which is high for various types of disasters such as floods, earthquakes, landslides, drought and volcanoes. A regional disaster risk reduction can be done with increase the capacity of government and communities in disaster mitigation. On this paper discusses the formulation of community capacity models in the face of disaster using ordinal logistic regression analysis. The regression model was prepared using three dependent variables are (i) general knowledge of risk reduction natural disaster symbolized by Y1 (ii) general knowledge possessed about how to save the family when a natural disaster is symbolized by Y2 (iii) efforts to increase citizens' awareness of natural disasters by related parties symbolized by Y3. The dependent variables Y1 and Y2 are influenced by the Knowledge Factor and Factor Plan of Action. While the dependent variable Y3 is influenced by Factor leadership and programs, and Facility Factors.
Analysis of Factors Affecting the Human Development Index in West Kalimantan Province using Data Panel Data Regression Uray Hety Humaira; Jaka Nugraha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 18, ISSUE 2, August 2018
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol18.iss2.art2

Abstract

Development in the country is growing including in the West Borneo Province. However in 2015, the achievement of human development at the National level is quite low, while the District and City varied considerably. Human Development Index is one of the parameter for human development that are affected by many factors. In this paper, analysis for identify the factors for human development index in West Kalimantan Province by using Regression Analysis was conducted. Regression was based on time series data from 2012 until 2015. It is found that Fixed Effect Model is the best regression model with the R2 of 0.99853%. The influencing variables are Life Expectancy (AHH), Adjusted Per Capita (Expenditure), School Average (RLS), School Expectation (HLS), and Gross Regional Domestic Product at Constant Price (GRDP).
Study of Student Satisfaction Level in the Faculty Based on Performance Assessment and Interest Level Achmad Fauzan; Muhammad Hasan Sidiq Kurniawan; Jaka Nugraha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 19, ISSUE 1, February 2019
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol19.iss1.art8

Abstract

One way to evaluate various services at the university is seen from the level of student satisfaction. The purpose of this study is to measure how much the level of student satisfaction in the university environment, especially in the Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia (FMIPA UII) and future expectations of students focusing on their respective study programs. 6 aspects were used to find out how much satisfaction the students had, namely: (1) Tangible, (2) Reliability, (3) Responsiveness, (4) Assurance, (5) Empathy, and (6) Information. The research method used is descriptive analysis method related to satisfaction represented by the Cartesian diagram. The study was conducted in a period of 3 months with the sample used being active students in the 2016 and 2017 FMIPA classes proportionally in each study program (study program). The data used are primary data consisting of 2 main assessments, namely performance assessment and importance assessment. The results of the level of satisfaction / suitability are classified into the Cartesian diagram which consists of 4 priorities, namely: top priority, achievement priority, low priority, and excessive. The results of the study obtained overall levels of satisfaction in Mathematics as much as 90% of students were satisfied with the level of performance provided. However, there are still 2 indicators that are included in the priority, namely problems in the key-in process and ease of communication for parents of students to consult. In addition to the contents of each indicator, an analysis of suggestions for improvement in the FMIPA environment using text mining based on barplot and wordcloud is associated with the dominant words appearing to describe the general expectations of students
Analysis of Factors Influencing The Decision to Choose The Department in The Natural Science Campus Muhammad Hasan Sidiq Kurniawan; Achmad Fauzan; Jaka Nugraha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 1, ISSUE 1, February 2020
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol1.iss1.art12

Abstract

Education is very important thing for everyone. Parents tend to choose high-quality school or campus, to ensure their children’s education. One thing which determined parents to choose the campus for their children is the prospect for work. Faculty of Natural Science UII have high-quality department. Some of them already had highest accreditation level and even Internationally accredited. But some peoples in Indonesian often asked about what become of their children after graduated from the faculty of natural science or what is job that suit for their chlidren. The department of that faculty often not become the first choice when choosing campus. Therefore, the research to study about factors which determine people to choose their college department is needed. In this paper, the study is focused on factors which influence people’s decision score to choose the department in the faculty of natural science. We are using correlation and regression analysis. The result show that factors which influence the people’s decision are different between one department with another. Those factor consist of: product, promotion, and the price/cost.
Probit Model on Multivariate Binary Response Using Simulated Maximum Likelihood Estimator Jaka Nugraha; suryo Guritno; Sri Haryatmi
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (114.339 KB)

Abstract

In this paper, we discuss probit model on multivariate binary response. We assume that each of n individuals is observed in T responses. Yit is tth response on ith individual/subject and each response is binary. Each subject has covariate Xi (individual characteristic) and covariate Zijt (characteristic of alternative j). Response on individual ith can be represented by Yi = (Yi1,....,YiT), Yit is tth response on ith individual/subject and each response is multinomial. In order to simplify, we choose one of individual characteristics and alternative characteristics. We use simulated maximum likelihood estimator (SMLE) methods to estimate the parameter based on Geweke-Hajivassiliou-Keane (GHK) simulator. We find the first derivative of likelihood function for multivariate binary probit. Then, we expand to multivariate multinomial response. The first derivative is used in the BHHH (Berndt, Hall, Hall, Hausman) iteration to obtain estimators. 
Estimating Parameters of Logit Model on Multivariate Binary Response Using Mle and Gee Jaka Nugraha; Suryo Guritno; Sri Haryatmi
Jurnal ILMU DASAR Vol 10 No 1 (2009)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.729 KB)

Abstract

In this paper, we discuss binary multivariate response modeling based on extreme value distribution. Independent variables used in these models are some attributes of the alternative (labeled Zijt) and some attributes of the decision maker (labeled Xi). We assumed that n the decision maker observed with T response. Yit is tnd response variables from decision maker i and value Yit is binary. Response of decision maker i can be expressed as Yi = (Yi1,...,YiT). In each of the decision maker, we have data (Yi, Xi, Zi). Models are derived by the assumption that maximum random utility which the decision maker i choose one of the alternatives having greatest utility. Methods of parameter estimation are Maximum Likelihood Estimator (MLE) method and Generalized Estimating Equation (GEE). First discussion in this study is the estimation by MLE with independent assumption among response and then the MLE estimation using joint distribution by Bahadur’s representation. By MLE and GEE, estimating equations are obtained and solved by numerical (like’s Newthon-Rahpson method) in the condition that not all of the parameters of individual attributes can be estimated (identified). Based on testing simulation data with R.2.5.0, we recommend (a) in low correlation, GEE is better than MLE (b) in moderate correlation, MLE is most efficient but not stable (c) in high or moderate correlation, MLE and GEE should be used (d) correlation estimators cannot explain the real correlation because of its bias.
Analysis of Quantitative Structure and Solubility Relationship for Organophospate Active Compounds Linear Model and Cluster Model Approach Is Fatimah; Jaka Nugraha
Jurnal ILMU DASAR Vol 8 No 1 (2007)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.684 KB)

Abstract

Study on quantitative solubility and structure relationship of organophospate pesticide has been conducted. Aim of this research is to analyze relationship between characteristic physical properties (water solubility) of pesticide with molecular structure by a model that can be used to predict physical properties of new compound proposed to be pesticide compound. Analysis was done for 52 organopospate compounds and its water solubility data. The model predicted by 39 fagmental descriptor based on spesific structure of organophospate compound. Analysis used in modeling are cluster analysis, one way analysis of variance (ANOVA) and regression analysis. Result show water solubility of the pesticide compound positive effect by functional group of P=O, N-primer and C=O in the structure. Functional group of S (sulphur), fen (phenil) , C-aromatic, C1-C2, C3-C4, C5-C6, Ortho Aromatic, P=S, C-Cl and log(Mr) decrease water solubility. The model resulted by regression analysis using stepwise and best subset method is : Ln(1+watsol) = 11.0 - 0.352 n C (aromatic) - 5.41 n (P=S) - 1.55 n (C-Cl), F-value = 32.43 (sign. 0,000) , R2 = 0.67 dan S=2.643. The model can be used to predict the organoposphate water solubility.Keywords : QSPR, ANOVA, regression analysis, organophospate pesticide
Perbandingan Rough Set dan Algoritma Apriori untuk Sistem Rekomendasi Perpustakaan muhammad muhajir; Jaka Nugraha; Rachmad Febrian
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (571.358 KB) | DOI: 10.52166/ujmc.v4i2.1241

Abstract

The recommendation system is a dynamic information filtering system that is produced according to user interests or behavior. The recommendation system in the library can provide book references based on user interests or characteristics. UII Central Library has an information system in the form of a database of book lending transactions that can be used for a recommendation system. The method is a rough set and apriori algorithm. This study compares 2 methods to get the best method that can be applied in the recommendation system. The results obtained by the number of rough set rules as many as 14 rules with an average coverage of 0,01111 and average accuracy of 0,87416 and the number of apriori algorithm rules as many as 23 rules with an average support of 0,00276 and average confidence of 0,87458. Based on the number rules, the average value of accuracy or confidence, the apriori algorithm mehod is a method that can be used for the recommendation system in the UII Central Library.
Pengaruh Entrepreneurship Attitude, Perceived Desirability dan Entrepreneurship Education Terhadap Entrepreneurship Intention pada Siswa Sekolah Menengah Kejuruan Ninda Firnia Febrinda; Jaka Nugraha
Optimal: Jurnal Ekonomi dan Kewirausahaan Vol 15 No 1 (2021): Optimal: Jurnal Ekonomi dan Kewirausahaan
Publisher : Fakultas Ekonomi Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/optimal.v15i1.2769

Abstract

This study aims to determine the effect of entrepreneurial attitudes, entrepreneurial traits, and entrepreneurship education on entrepreneurial intentions of students majoring in OTKP SMK Ipiems Surabaya. This study uses a quantitative method with a survey approach. This type of research data is primary data derived from direct observation and questionnaire answers. The place for conducting this research is at SMK Ipiems Surabaya. The sampling technique uses saturated samples. Total 56 respondents. Data collection techniques using questionnaires and observations. Data analysis used classical assumption test and multiple linear regression analysis using IBM SPSS application. The results of this study state that there is no influence of entrepreneurship attitude and entrepreneurship education on entrepreneurship intention. The proof is from the results of the T test, where in the SPSS output table it is known that the t value of the entrepreneurship attitude variable is 0.288 <t table 2.019 and the t value of the entrepreneurship education variable is 0.784 <t table 2.019. Meanwhile, perceived desirability has an effect on entrepreneurship intention. The proof is through the results of the T test on the SPSS output table, it is obtained that the t value of the perceived desirability variable is 2.683> t table 2.019.
Co-Authors AA Sudharmawan, AA ACHMAD FAUZAN Achmad, Sarifa Andi Wafda Anik Kurnia Ningsih ARIANTI, ANA ARINI HANDAYANI, FARAH Arum Pujiastuti ARUMA NURFITRIANA, MEGA Azizah - Azlyna, Via Nur BIMA SAKTI, MUHAMAD Bima Yatna Anugerah Ramadhani Brillian Rosy BUDI SETIAWAN Chandrasari, Agnes Monica Dwi Choirul Nikmah CHURRIYAH, UCI Devi Ratnasari Dhomas Hatta Fudholi Dwirana, Adinda Bilqisth Dzakiyyah, Nuraini Faza Muhammad Sukarsono Febrika Yogie Hermanto FITRI LISTIANI, ARUM Fitri Nugraheni Gunawan, Firli Putri Hablinawati, Laela Handini, Han Tantri Hasan Basri Hazmi, Chelsea Refma Valmay Al Imtitsal Puspa Wahyu Nabillah Irwan Nuryana Kurniawan Is Fatimah Isoliani, Ines Etha KURNIAWATI DWI SAFITRI, AGUS Latifah, Ambayun Lestari, Ika Dwi M.Rahmat Ramadhan Maharani, Shania Puspita MAITA SARI, DITA Meisyaroh Catur Wulandari Meylia Elizabeth Ranu Muhammad Arif Muhammad Hasan Sidiq Kurniawan Muhammad Muhajir, Muhammad Ninda Firnia Febrinda NIRWANASARI, YULI NURUL HIDAYAH Octavia, Agnes Christa Belliem Orlensyah, Ira Ouariach, Fatima Zahra Ouariach, Soufiane PRATIWI ANGGUNTARI, YUSI Prawesti, Inna Putrawan, Syach Fitra Wahyu Putri Avrilusita, Cinta Davia Rachmad Febrian Radeni Sukma Indra Dewi Rani, Lala Aulia Sanria Ratna Ekawati Rern-Jay Hung Reza Maulana rohmawati, erna SAIFUL ISLAM, ZAKKY Sari, Yuni Purnama Sri Haryatmi Sri Haryatmi Sri Haryatmi Sugesti, Anggun suryo Guritno Suryo Guritno Susanti, Erik Syahputri, Raissa Ayuni Triesninda Pahlevi Uray Hety Humaira Wananda, Titania Tasya Wardani, Vindi Kusuma Wicaksono, Samsiar Tri Bagus Zhumrotul Muniroh