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Analisis Regresi Logistik Biner pada Pengaruh Harga, Kualitas Pelayanan dan Promosi terhadap Kepuasan Pelanggan dalam Menggunakan Jasa Layanan Grab di Kabupaten Lamongan Ardiana Fatma Dewi; Rahmadian Pratiwi
Inferensi Vol 4, No 2 (2021): Inferensi
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v4i2.8637

With the Covid-19 pandemic that has hit Indonesia since March 2020, people tend to choose to stay at home and take advantage of online services, one of which is a startup company called Grab. This product is welcomed by customers in various circles, price, service quality and promotion, including in the marketing strategy, have a very important role in influencing customer satisfaction. Customer loyalty will have a big impact on the company. Therefore it is necessary to carry out an analysis for online transportation service companies to find out the services provided in an effort to increase consumer loyalty. According to the 2020 BPS publication, Lamongan Regency is one of the districts in East Java which has a population of more than 1.5 million people. The large number of residents in an area opens more profit opportunities for companies, especially online services. So a research on binary logistic regression analysis was conducted to determine the satisfaction of Grab customers in Lamongan Regency with the predictor variables used, namely Price, Service Quality and Promotion. Based on the analysis, the variables that have a significant effect on customer satisfaction are Price and Customer Quality. Where the cheap price provided by Grab will affect customer satisfaction 1.475 times greater than the expensive price, and good service quality will affect customer satisfaction 1.450 times greater than poor service, with classification accuracy of 92%.

Hubungan antara Pengetahuan Lingkungan dan Sikap Peduli Lingkungan pada Mahasiswa Tadris IPA Ardiana Fatma Dewi; Atika Anggraini
Realita: Jurnal Penelitian dan Kebudayaan Islam Vol. 20 No. 1 (2022): Jurnal Realita: Jurnal Penelitian dan Kebudayaan Islam
Publisher : LP2M Institut Agama Islam Negeri (IAIN) Kediri

Mahasiswa Tadris IPA sudah mempelajari konsep pengetahuan lingkungan, namun sikap yang merekamunculkan belum memperlihatkan adanya perubahan perilaku seperti yang diharapkan dalam tujuan pembelajaran materi pengetahuan lingkungan. Tujuan pada penelitian ini yaitu mengetahui pengetahuan lingkungan, sikap peduli lingkungan, dan hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri. Jenis penelitian ini adalah deskriptif korelasional dengan melakukan analisis hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri. Hasilnya ialah pengetahuan lingkungan pada mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri yaitu 3 orang (5,55%) memiliki pengetahuan lingkungan hidup yang rendah, 16 orang (29,63%) memiliki pengetahuan lingkungan hidup yang cukup, 30 orang (51,85%) memiliki pengetahuan lingkungan hidup yang tinggi, dan 9 orang (12,96%) memiliki pengetahuan lingkungan hidup yang sangat tinggi. Sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri yaitu 2 orang (3,70%) telah memiliki sikap peduli lingkungan yang cukup, sebanyak 43 orang (75,93%) telah memiliki sikap peduli lingkungan yang tinggi, dan 13 orang (20,37) memiliki sikap peduli lingkungan hidup yang sangat tinggi. Hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri berdasarkan perhitungan Korelasi Pearson diperoleh 0,010 < 0,05, sehingga ada hubungan pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri.

Hubungan antara Pengetahuan Lingkungan dan Sikap Peduli Lingkungan pada Mahasiswa Tadris IPA Ardiana Fatma Dewi; Atika Anggraini
Realita: Jurnal Penelitian dan Kebudayaan Islam Vol. 20 No. 1 (2022): Jurnal Realita: Jurnal Penelitian dan Kebudayaan Islam
Publisher : LP2M Institut Agama Islam Negeri (IAIN) Kediri

Mahasiswa Tadris IPA sudah mempelajari konsep pengetahuan lingkungan, namun sikap yang merekamunculkan belum memperlihatkan adanya perubahan perilaku seperti yang diharapkan dalam tujuan pembelajaran materi pengetahuan lingkungan. Tujuan pada penelitian ini yaitu mengetahui pengetahuan lingkungan, sikap peduli lingkungan, dan hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri. Jenis penelitian ini adalah deskriptif korelasional dengan melakukan analisis hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri. Hasilnya ialah pengetahuan lingkungan pada mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri yaitu 3 orang (5,55%) memiliki pengetahuan lingkungan hidup yang rendah, 16 orang (29,63%) memiliki pengetahuan lingkungan hidup yang cukup, 30 orang (51,85%) memiliki pengetahuan lingkungan hidup yang tinggi, dan 9 orang (12,96%) memiliki pengetahuan lingkungan hidup yang sangat tinggi. Sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri yaitu 2 orang (3,70%) telah memiliki sikap peduli lingkungan yang cukup, sebanyak 43 orang (75,93%) telah memiliki sikap peduli lingkungan yang tinggi, dan 13 orang (20,37) memiliki sikap peduli lingkungan hidup yang sangat tinggi. Hubungan antara pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri berdasarkan perhitungan Korelasi Pearson diperoleh 0,010 < 0,05, sehingga ada hubungan pengetahuan lingkungan dan sikap peduli lingkungan mahasiswa Tadris IPA Institut Agama Islam Negeri Kediri.

Perbandingan Model Generalized Ammi (Gammi) dengan Row Column Interaction Model pada Interaksi Genotipe dan Lingkungan Kurnia Ahadiyah; Ardiana Fatma Dewi
Journal Focus Action of Research Mathematic (Factor M) Vol. 4 No. 2 (2022)
Publisher : IAIN Kediri

Model Generalized AMMI (GAMMI) merupakan perluasan dari model AMMI (Additive Main Effect and Multiplicative Interaction). Model GAMMI melibatkan konsep Generalized Linear Model (GLM) pada variabel responnya. Pada penelitian ini, model GAMMI digunakan untuk data interaksi antara genotipe dan lingkungan yang mempunyai distribusi poisson. Sama halnya dengan model AMMI, model GAMMI juga digunakan untuk menganalisis kestabilan genotipe pada lingkungan yang beragam dengan pengaruh utama perlakuan dimodelkan dengan model aditif sedangkan pengaruh interaksi dimodelkan dengan model multiplikatif (bilinier). Metode lain yang memiliki kemiripan dengan model GAMMI adalah Row Column Interaction Model (RCIM). Model ini juga dapat digunakan untuk data yang berdistribusi poisson. Kedua model ini akan dibandingkan nilai analisis devian dan biplotnya. Interpretasi kedua model ditunjukkan melalui biplot dengan penguraian Singular Value Decompotition (SVD) pada matriks interaksi. Data yang digunakan untuk membandingkan kedua metode tersebut adalah data hama kedelai yang berisi empat genotipe dan lima jenis hama kedelai. Penelitian ini lebih ditekankan pada perbandingan hasil pemodelan dengan cara yang berbeda. Kedua metode menunjukan nilai peluang yang hampir sama yaitu untuk model GAMMI dengan regresi bolak-balik sebesar 0,0541, sedangkan model RCIM sebesar 0,0548. Keduanya sama-sama signifikan pada model GAMMI2 karena nilai peluang <0,06. Generalized AMMI (GAMMI) model is a development of the AMMI (Additive Main Effect and Multiplicative Interaction) model. Model GAMMI involves the concept of Generalized Linear Model (GLM) on the response variable. In this research, GAMMI model used for interaction of genotype and environment data that have poisson distribution. Similar to the AMMI model, GAMMI model also used to analyze the stability of the genotype in any different environment with the main effect of treatment is modeled by additive model, while the effect of the interaction is modeled by multiplicative model (bilinear). Another method which is similar to GAMMI model is Row Column Interaction Model (RCIM). This model also can used for the data that have poisson distribution. These two models will be compared with the analysis value of the deviance and biplot. Interpretation of the model is shown through the biplot with Singular Value Decompotition (SVD) toward interaction matrix. The data used to compare the two methods is soybean pest data which contains four genotypes and five of soybean pests. This research emphasizes on comparing the results of modeling in different ways. The results of the analysis of the two methods show that the probability value is almost the same, for the GAMMI model with alternating regression is 0.0541, while the RCIM model is 0.0548. Both are equally significant in the GAMMI2 model because the probability value is <0.06.

Analisis Regresi Spline Truncated pada Indeks Pembangunan Manusia (IPM) di Provinsi Jawa Timur tahun 2021 Ardiana Fatma Dewi; Kurnia Ahadiyah
Inferensi Vol 6, No 1 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i1.14107

The increase in the achievement of the Human Development Index cannot be separated from the improvement of each of its constituent components. Currently, the components of the HDI also show an increase from year to year. To be able to participate in the development process, of course, Indonesian people are needed who are not only superior in terms of quantity, but also superior in terms of quality. HDI is used as a tool to achieve national goals, so that many things are related between humans and the development around them. This is to find out what factors can affect the HDI in East Java so that the provincial government can pay attention to several programs which can later be used to continue to maintain and improve development so that it can become an achievement for the Province of East Java. One of the analyzes that can be used is modeling, one of which is regression analysis. Nonparametric regression is a regression that is flexible in use because it can find its own data pattern. One of the truncated spline approaches to nonparametric regression can be used to predict the Human Development Index (HDI). HDI and several factors that influence it will be estimated at various knot points to get the best model. In the Spline Truncated nonparametric regression modeling which is applied to HDI data in East Java Province in 2021 several knot points are tried, namely 1 knot point, 2 knot point, and 3 knot point. The results obtained showed that the best model was found in the 3 knots experiment with a minimum GCV value of 5.40 and an R2 value of 89.875%.

Development of Ethnoscience Based Science Learning Module and Science Literacy for Junior High School Students Anggraini, Atika; Prassastie, Fadilla Eka; Salani, Hana Talia Novia; Fahma, Farisa Aina; Rahman, Àdnan; Dewi, Ardiana Fatma
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

This research aims to develop ethnoscience-based science learning module and science literacy for grade VIII students. This module development uses the Research and Development (R&D) model by adapting the steps of the 4D model, which includes (Define, Design, Develop, Dessimination). In this study, data were collected through observation, interviews, questionnaires, and documentation. The developed module was validated by material experts, media experts, LKPD experts, and readability experts who each provided an assessment of the relevant aspects. The results of validation by material experts, media experts, LKPD experts and readability experts showed 100% feasibility. The results of student responses showed very good results of 88.10%. Students who use this module are better able to connect scientific knowledge with the context of science which is an important indicator in the ability to think critically, analytically, and creatively. The results of this study indicate that ethnoscience and science literacy-based modules are not only effective in improving understanding of material concepts, but also strengthening higher-order thinking skills that are needed in facing the challenges of today.

Agglomerative Hierarchy Clustering Pada Penentuan Kelompok Kabupaten/Kota di Jawa Timur Berdasarkan Indikator Pendidikan Dewi, Ardiana Fatma; Ahadiyah, Kurnia
Zeta - Math Journal Vol 7 No 2 (2022): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2022.7.2.57-63

Salah satu cara agar dapat meningkatkan kondisi pendidikan di setiap kabupaten/kota di Jawa Timur adalah dengan menggunakan analisis pengelompokan sesuai dengan karakteristik pendidikannya. Analisis Klaster merupakan analisis yang termasuk ke dalam golongan analisis multivariat yang bertujuan untuk mengelompokkan objek berdasarkan karakteristik yang dimilikinya. Penelitian ini menggunakan analisis klaster tipe agglomerative dengan lima metode. Analisis klaster ini disebut dengan “agglomerative hierarchy clustering”. Tujuan penelitian ini adalah membandingkan metode analisis klaster herarki tersebut dengan mencari model terbaik melalui pencarian nilai koefisien korelasi cophenetic terbesar. Data yang digunakan pada penelitian ini merupakan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS) Jawa Timur dan Kementerian Pendidikan Republik Indonesia. Pada pengelompokan Kabupaten/Kota di Provinsi Jawa Timur berdasarkan indikator pendidikan dengan menggunakan metode Agglomerative Hierarchical Clustering dihasilkan bahwa algoritma optimal yang digunakan yaitu pada algoritma average linkage dengan nilai korelasi cophenetic yang diperoleh sebesar 0,807. Berdasarkan indikator pendidikan dari 38 Kabupaten/Kota di Provinsi Jawa Timur terbagi menjadi dua cluster dimana pada cluster pertama beranggotakan 3 Kabupaten/Kota dan cluster kedua 35 Kabupaten Kota. Keywords: Agglomerative, Clustering, Hierarchical, cophenetic

Using Photomath Applications on Student Learning Outcomes in Advanced Calculus Courses Dewi, Ardiana Fatma; Ahadiyah, Kurnia
Proceeding International Conference on Education Volume 01, Agustus Tahun 2023: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Along with the development of the times, the world of education is much influenced by advances, especially in the field of information and communication technology. Many educators use technology as a learning medium to help students learn and solve problems, especially math problems. There are several applications that students use to help them complete lecturer assignments. Photomath is one of the applications used by students in mathematics lessons. This application can be accessed via a smartphone and has features that help students solve math problems. This study aims to determine the effect of using the Photomath application on the learning outcomes of Tadris Mathematics students in semester 4 of the State Islamic Institute (IAIN) Kediri. The number of samples used in this study were 45 students, which were divided into two groups. The experimental group consisted of 24 students and the control group consisted of 21 students. The analysis used in this study is a t-test to compare whether there are differences in student learning outcomes in advanced calculus courses when solving problems using the Photomath application and not using these tools. The results obtained show that there are significant differences between students who use the help of the Photomath application and those who do not. So it can be concluded that the use of the Photomath application has an effect on student learning outcomes at IAIN Kediri's mathematics tadris in advanced calculus courses.

Implementation of STEM (Science Technology Engineering and Mathematics) Learning Model Based on Local Wisdom on Student Learning Outcomes Dewi, Ardiana Fatma; Wakhidah, Fina Alya Nur; Sari, Dwi Ratna; Arifinta, Hasna Nisa; Ni’amahah, Naila Lutfiatun; Ilmia, Siti Mazro’atul; Sholihah, Tri Eva
Proceeding International Conference on Education Volume 02, Agustus Tahun 2024: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

The rapid development of science and technology has given rise to various innovations in the field of technology that are created to facilitate activities, especially in the field of education. Creative thinking and critical thinking skills are very much needed following the demands of 21st-century skills, namely so that students have various abilities, including critical thinking, creative thinking, communication and collaboration. STEM is an integrative learning approach that combines Knowledge (Science), Technology (Technology), Engineering (Engineering), and Mathematics (Mathematics). Several studies have shown that the STEM approach positively affects student learning, so this study tries to implement STEM based on local wisdom on learning outcomes. This study aims to determine how student learning outcomes are before and after providing a STEM learning model based on local wisdom. The type of research used is quantitative with an experimental method. Sample selection uses a simple random sampling technique, with research subjects being grade IX students of SMP Muhammadiyah Kediri. The results of the study showed that the average student learning outcomes before the action were relatively low; after being given treatment, the average student learning outcomes increased. The results obtained using the paired t-test were that the significance value of learning outcomes was 0.000 <0.05, meaning that there was a difference in the average learning outcomes of students before and after the local wisdom-based STEM learning model provision.

Perbandingan Model Generalized Ammi (Gammi) dengan Row Column Interaction Model pada Interaksi Genotipe dan Lingkungan Ahadiyah, Kurnia; Dewi, Ardiana Fatma
Journal Focus Action of Research Mathematic (Factor M) Vol. 4 No. 2 (2022)
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/factor_m.v4i2.4189

Model Generalized AMMI (GAMMI) merupakan perluasan dari model AMMI (Additive Main Effect and Multiplicative Interaction). Model GAMMI melibatkan konsep Generalized Linear Model (GLM) pada variabel responnya. Pada penelitian ini, model GAMMI digunakan untuk data interaksi antara genotipe dan lingkungan yang mempunyai distribusi poisson. Sama halnya dengan model AMMI, model GAMMI juga digunakan untuk menganalisis kestabilan genotipe pada lingkungan yang beragam dengan pengaruh utama perlakuan dimodelkan dengan model aditif sedangkan pengaruh interaksi dimodelkan dengan model multiplikatif (bilinier). Metode lain yang memiliki kemiripan dengan model GAMMI adalah Row Column Interaction Model (RCIM). Model ini juga dapat digunakan untuk data yang berdistribusi poisson. Kedua model ini akan dibandingkan nilai analisis devian dan biplotnya. Interpretasi kedua model ditunjukkan melalui biplot dengan penguraian Singular Value Decompotition (SVD) pada matriks interaksi. Data yang digunakan untuk membandingkan kedua metode tersebut adalah data hama kedelai yang berisi empat genotipe dan lima jenis hama kedelai. Penelitian ini lebih ditekankan pada perbandingan hasil pemodelan dengan cara yang berbeda. Kedua metode menunjukan nilai peluang yang hampir sama yaitu untuk model GAMMI dengan regresi bolak-balik sebesar 0,0541, sedangkan model RCIM sebesar 0,0548. Keduanya sama-sama signifikan pada model GAMMI2 karena nilai peluang <0,06. Generalized AMMI (GAMMI) model is a development of the AMMI (Additive Main Effect and Multiplicative Interaction) model. Model GAMMI involves the concept of Generalized Linear Model (GLM) on the response variable. In this research, GAMMI model used for interaction of genotype and environment data that have poisson distribution. Similar to the AMMI model, GAMMI model also used to analyze the stability of the genotype in any different environment with the main effect of treatment is modeled by additive model, while the effect of the interaction is modeled by multiplicative model (bilinear). Another method which is similar to GAMMI model is Row Column Interaction Model (RCIM). This model also can used for the data that have poisson distribution. These two models will be compared with the analysis value of the deviance and biplot. Interpretation of the model is shown through the biplot with Singular Value Decompotition (SVD) toward interaction matrix. The data used to compare the two methods is soybean pest data which contains four genotypes and five of soybean pests. This research emphasizes on comparing the results of modeling in different ways. The results of the analysis of the two methods show that the probability value is almost the same, for the GAMMI model with alternating regression is 0.0541, while the RCIM model is 0.0548. Both are equally significant in the GAMMI2 model because the probability value is <0.06.

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