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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Biodjati BAREKENG: Jurnal Ilmu Matematika dan Terapan EKUITAS (Jurnal Ekonomi dan Keuangan) Jurnal Pendidikan dan Konseling Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika BIO-CONS: Jurnal Biologi dan Konservasi
Firda Fadri
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Universitas Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Transportation Other

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ESTIMASI MODEL SIMULTAN SPASIAL PERTUMBUHAN EKONOMI JAWA TIMUR Firda Fadri
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 2 (2017): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.798 KB) | DOI: 10.26714/jsunimus.5.2.2017.%p

Abstract

Model ekonometri spasial digunakan untuk menganalisa adanya efek spasial baikberupa spatial dependence maupun spatial heterogeneity. Jika variabel endogen yang mengandung lag yang saling berkorelasi errornya maka disebut model spatialautoregressive dengan autoregressive disturbance (SARAR). Untuk mendapatkan estimator dari model digunakan pendekatan two step generalized method of moments (2SGMM). Metode ini diterapkan untuk mengestimasi model simultan spasial pertumbuhan ekonomi di Jawa Timur. Hasil estimasi menunjukkan nilai moran’s I yang signifikan, sehingga terdapat dependensi spasial yaitu pertumbuhan ekonomi di suatu wilayah dipengaruhi oleh pertumbuhan ekonomi di wilayah sekitarnya. Variabelvariabel yang signifikan adalah jumlah penduduk kerja dipengaruhi jumlah penduduk, persentase penduduk berpendidikan SMA-Sarjana, dan upah minimum. Total investasi dipengaruhi oleh PAD sedangkan pendapatan rumah tangga dipengaruhi oleh IPM, persentase pengangguran dan belanja pemerintah daerah serta total investasi. Kata kunci :  Generalized method of moments (GMM), Persamaan simultan spasial, Pertumbuhan Ekonomi.
Analisis Kemampuan Self Regulated Learning di Kelas X TKJ SMK Plus Sabilur Rosyad Endah Mardewanti; Firda Fadri
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 6 (2022): Jurnal Pendidikan dan Konseling
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i6.8840

Abstract

Penelitian ini bertujuan untuk mengetahui sejauh mana kemampuan Self Regulated Learning yang dimiliki oleh siswa kelas X SMK Plus Sabilur Rosyad. Data dikumpulkan melalui angket kuisioner yang dibagikan kepada siswa, yang didalamnya berisi tiga aspek SLR. Perhitungan data menggunakan pendekatan statistic deskriptif. Dari hasil analisis deiperoleh kemampuan SLR siswa yang mencakup tiga aspek masuk dalam kategori sedang. Persentase terbesar adalah aspek motivasi 74,9%, kemudian metakognisi 70,6% dan aspek perilaku 59,3%. Hasil ini menunjukkan sangat diperlukannya peran guru dalam menggunakan strategi yang tepat dalam pembelajaran untuk dapat meningkatkan kemampuan SLR siswa, mengingat kemampuan SLR ini sangat dibutuhkan oleh siswa dalam keberhasilan mereka.
Pengaruh Self -Regulated Learning terhadap Hasil Belajar IPA Siswa Kelas IX Madrasah Tsanawiyah Rizka Elan Fadilah; Firda Fadri; Khofifatu Nurisya
BIO-CONS : Jurnal Biologi dan Konservasi Vol. 5 No. 1 (2023): BIO-CONS: Jurnal Biologi dan Konservasi
Publisher : PROGRAM STUDI PENDIDIKAN BIOLOGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/biocons.v5i1.1088

Abstract

Penelitian ini merupakan penelitian ex-post facto. Penelitian ini bertujuan untuk mengetahui pengaruh Self-Regulated Learning terhadap hasil belajar IPA siswa kelas IX di salah satu Madrasah Tsanawiyah di Kabupaten Kediri. Sampel pada penelitian ini berjumlah 33 siswa kelas IX di Madrasah Tsanawiyah Kediri tahun ajaran 2022/2023. Teknik pengumpulan data menggunakan instrument kuesioner Self-Regulated Learning dan hasil belajar IPA. Data dalam penelitian ini dianalisis menggunakan statistic deskriptif dan statistic inferensial dengan menggunakan analisis regresi linear sederhana. Hasil penelitian menunjukkan bahwa Self -Regulated Learning berpengaruh positif terhadap hasil belajar IPA siswa kelas IX Madrasah Tsanawiyah dengan pengaruh sebesar 68,9% .
SOCIO-ECONOMIC AND ENVIRONMENTAL FACTORS AS DETERMINANTS OF LIFE EXPECTANCY: STATISTICAL APPROACH WITH QUANTILE REGRESSION Firda Fadri
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.562

Abstract

The use of quantile regression in analyzing determinants of life expectancy provides a deep understanding of the influence of predictor variables across various quantiles of the data distribution. The analysis results reveal significant differences in predictor variables affecting life expectancy at each quantile, with socio-economic, environmental, and health program factors having varying impacts. Model evaluation is conducted considering several goodness-of-fit measures such as MAPE, AIC, and coefficient of determination, selecting the best quantile based on a combination of these values. Based on the analysis, the optimal quantile is chosen based on the lowest MAPE and AIC, and the highest coefficient of determination, considering the efficiency of significant predictor variables. The analysis indicates that the best model is found at the 60th quantile, with two significant predictor variables, namely mean years of schooling and labor force participation. This underscores the significant role of socio-economic factors in determining life expectancy at specific quantiles
Community Structure of Avifauna in The Rehabilitation Zone at Wonoasri Resort, Meru Betiri National Park Arif Mohammad Siddiq; Hari Sulistiyowati; Munaa Aqidatul Ulaa; Fuad Bahrul Ulum; Firda Fadri
Jurnal Biodjati Vol 9, No 1 (2024): May
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v9i1.30033

Abstract

The rehabilitation zone of Meru Betiri National Park (MBNP) needs to be measured in relation to the success of ecosystem restoration. It can be used as a bioindicator, such as the bird community structure, hence their sensitivity to environmental changes. Therefore, the aims of this study are to determine the community structure of avifauna in the rehabilitation zone at Wonoasri Resort, MBNP including bird diversity, richness, dominance, feeding guilds, and their correlation with forest cover. The research was conducted in January 2023 in the Bonangan Block at three observation points, namely low vegetation cover, medium vegetation cover, and high vegetation cover. The ecological data, such as species and abundance, were collected using the point count method, while additional information related to conservation statuses were collected by web browsing on the IUCN Red List, the CITES appendix, and Indonesian government regulation (LHK No.106/2018). Data analysis used the dominance index, species diversity index (Shannon Wiener), and evaluated for statistical data using a Kruskal-Wallis (KW) test in R version 3.2.1. We recorded 38 bird species belonging to 31 genera and 21 families during this study. Among the feeding guilds, the insectivorous birds (14 species) were recorded as the higher species richness, followed by omnivorous (eight species), frugivorous (five species), granivorous (five species), carnivorous (four species), and nectarivorous (two species). The Kruskal-Wallis test shows there is a significant correlation among the feeding guilds (value of 11.644, with p-value = 0.040). Furthermore, referring to species richness, high vegetation cover areas have the highest species richness (30 species) compared to medium vegetation cover areas (27 species) and low vegetation cover areas (26 species). The dominance of avifauna species at this location falls into the low category (C = 0.07). According to the diversity index, avifauna in Bonangan Block is classified as a high category (H'=3.01).
A COMPARATIVE ANALYSIS OF COLOR SPACES FOR TOMATO RIPENESS CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING APPROACHES Firda Fadri; Yoyok Yulianto; Kiswara Agung Santoso
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 3 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss3pp2631-2644

Abstract

The classification of tomato ripeness is crucial for post-harvest processing, quality assurance, and agricultural automation, as manual evaluation is often subjective, inconsistent, and time-consuming. This research investigated the impact of color space selection and hyperparameter optimization on tomato ripeness classification using machine learning (SVM, Random Forest, K-NN, GNB) and deep learning (CNN) approaches. Evaluation results indicated that YCbCr was the best-performing color space for classical models, with SVM achieving the highest accuracy (91.24%) and RF following closely (89.54%), whereas HSV yielded optimal performance for CNN (90.46%), highlighting differences in feature extraction mechanisms. Confusion matrix and ROC curve analyses demonstrated that models capturing nonlinear and interdependent color features, such as SVMs and CNNs, achieved superior class separability, particularly for the Ripe and Unripe classes. Dominant channel analysis revealed that chrominance channels, Cb in YCbCr and H in HSV, played a critical role in ripeness discrimination. These findings emphasized the importance of preprocessing for feature selection and provided guidance on selecting appropriate models and color spaces to improve the accuracy and reliability of automated tomato ripeness classification.
GREEN MARKETING: A SUSTAINABLE BUSINESS STRATEGY IN THE ECO-CONSCIOUS ERA Siti Asiyah; M. Khoirul Anwarodin Brotosuharto; Firda Fadri
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 9 No 4 (2025): December
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/j25485024.y2025.v9.i4.7369

Abstract

This research examines the role of green marketing in mediating between green knowledge and CSR on green trust. It investigates the correlation among four key concepts: green trust, green knowledge, CSR, and green marketing. An empirical survey tested the proposed hypotheses. Data were collected from 119 respondents in East Java, Indonesia, who consume Le Minerale bottled drinking water. Structural Equation Modeling using Partial Least Squares (SEM-PLS) was used to assess the research model. Results reveal that all direct relationships are positive and significant. Specifically, the analysis found green marketing does not significantly mediate the relationship between green knowledge and green trust. This means green knowledge does not increase green trust through green marketing. However, the indirect effect of CSR on green trust via green marketing is significant. This highlights that CSR builds green trust when green marketing is a mediator. These results suggest that green marketing can be an effective strategy for building consumer green trust. The research finds that green marketing helps companies enhance their consumers’ green trust. By exploring the roles of green knowledge and CSR in green trust through green marketing, this research highlights the value of honest and effective strategies. It also offers managerial implications for sustainable marketing.
Co-Authors Arif Mohammad Siddiq Endah Mardewanti Fuad Bahrul Ulum Khofifatu Nurisya Kiswara Agung Santoso M. Khoirul Anwarodin Brotosuharto Munaa Aqidatul Ulaa Rizka Elan Fadilah, Rizka Elan Siti Asiyah Sulistiyowati, Hari Yoyok Yulianto