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All Journal AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Majalah Ekonomi Jurnal Penamas Adi Buana Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) EKOBIS ABDIMAS : Jurnal Pengabdian Masyarakat
Purnaningrum, Evita
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences Other

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Peningkatan Profitibilitas Wirausaha Disabilitas di Era Digital dengan Ketrampilan Desain Produk dan Pemasaran pada E-Commerce Purnaningrum, Evita; Rafikayati, Ana; Dyatmika, Sutama Wisnu
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2022): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v6i1.4006

Abstract

Pemanfaatan teknologi yang tepat sangat berkorelasi terhadap perkembangan UMKM di era industri 4.0. Hal tersebut menjadikan tantangan bagi pelaku UMKM untuk mampu bersaing dengan usaha lainnya. Telah banyak penelitian dan pelatihan bagi UMKM guna meningkatkan usaha dari berbagai sisi. Namun, masih jarang yang melakukan pelatihan bagi kelompok usaha disabilitas. Penelitian ini bertujuan memberikan gambaran umum pelaksanaan penyuluhan bagi kelompok usaha disabilitas yang berlokasi di Tuban (Orbit). Selama ini, mereka hanya diberikan pelatihan dari dinas sosial yaitu menjahit, kegiatan ini memberikan prespektif baru bahwa disabilitas juga mampu menjalankan usaha dan dapat diberikan pelatihan tentang desain produk dan pemasaran. Hasil dari kegiatan ini adalah komunitas orbit mampu membuat desain kemasan dan meningkatkan profitabilitas produk dan melakukan pemasaran secara online. Seluruh anggota berpartisipasi aktif dan antusias pada kegiatan yang dilakukan.
Performance of LAD-LASSO and WLAD-LASSO on High Dimensional Regression in Handling Data Containing Outliers Cahya, Septa Dwi; Sartono, Bagus; Indahwati, Indahwati; Purnaningrum, Evita
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 4 (2022): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i4.8968

Abstract

In several research areas, it is common to have a dataset with more explanatory variables than the number of observations, called high-dimensional data. This condition can lead to multicollinearity problem. The least absolute shrinkage and selection operator (LASSO) solves the problem by shrinking the estimated coefficient to zero so that it can simultaneously carry on the variable selection and the parameter estimation.  But LASSO performs poorly when the data contains some outliers in the response or explanatory variables. Robust methods have addressed this problem based on the least-absolute-deviation approach, such as LAD-LASSO and WLAD-LASSO. This current research aims to evaluate the performance of the LAD-LASSO and WLAD-LASSO methods on high-dimensional and low-dimensional data containing outliers. To evaluate the performance of these methods, the simulation study was conducted. The simulation study used three scenarios (without outliers, outliers on the response variable (5%, 10%, 15%), outliers both on the response and explanatory variables (5%, 10%, 15%)). We also used the Minimum Regularized Covariance Determinant (MRCD) estimator in calculating the weights on the WLAD-LASSO. The best method from this simulation then will be applied to sembung leaf extract data to identify antioxidant marker compounds in sembung leaf extract. The simulation results show that LAD-LASSO tends to be very tight in selecting, while LASSO tends to be too loose.  Meanwhile, WLAD-LASSO is in the middle of those two techniques and performs the best in identifying the important variables correctly. Even the existence of weights cause WLAD-LASSO more robust against the presence of outliers in the response and explanatory variables compared to LAD-LASSO. Furthermore, performance of these methods on high-dimensional data decrease compared to low-dimensional data. The performance of these methods also tends to decrease when the rate of outlier increases. The WLAD-LASSO was then implemented in actual data to find the compound of antioxidant markers in the sembung leaf extract. The compounds/formulas obtained are Umbelliferone, 12-Hydroxyjasmonic Acid, C22H14N8O2, and Acetyleugenol (with a prediction error is 0.133050). These compounds/formulas can be developed as natural antioxidants and have the potential to be developed as medicinal ingredients.
Co-Authors Aji Prasetyo, Aji Ariqoh2, Ihdina Ariyanti, Viki Bagus Sartono Bisma Arianto Cahya, Septa Dwi Cahyaningtias, Sari Christina Menuk Sri Handayani Dyatmika, Sutama Wisnu Ferry Hariawan Firdausia, Yuli Kurnia I Made Bagus Dwiarta Ihdina Ariqoh2 Indahwati Kusumawardhani, Dwi Ajeng Nafah , Hanief Khoyyir Nashrudin Latif Noerchoidah Rafikayati, Ana Rina Fariana Satya Putra, Eza Widhy Subakir Sugijanto Tri Ariprabowo W, Tony Susilo Waryanto, Bambang Dwi Widhayani Puri S