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All Journal Kubik Journal of Science and Applicative Technology SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknik Informatika UNIKA Santo Thomas Zero : Jurnal Sains, Matematika, dan Terapan KUBIK: Jurnal Publikasi Ilmiah Matematika Enthusiastic : International Journal of Applied Statistics and Data Science Mejuajua Premium: Insurance Business Journal Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) RENATA Jurnal Pengabdian Masyarakat Kita Semua TeknoKreatif: Jurnal Pengabdian kepada Masyarakat
Listiani, Amalia
Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Edukasi Pencegahan Stunting Dengan Pangan Olahan Jamur Tiram Di Desa Banjar Agung, Lampung Selatan Untia Ramadhani; Juwana Janu; Mubarika Sekarsari Yusuf; Jatmiko Eko Witoyo; Noveliska Br Sembiring; Dila Tirta Julianty; Amalia Listiani; Eka Nur’azmi Yunira; Syaira Miranti; Aurelia Stephanie Lo; Anggi Cinta Tamania
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 5 No. 3 (2026): April 2026
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v5i3.332

Abstract

Stunting merupakan permasalahan kesehatan yang berdampak jangka panjang terhadap pertumbuhan fisik dan perkembangan kognitif anak akibat kekurangan asupan gizi dalam kurun waktu yang lama. Data Dinas Kesehatan Lampung Selatan (2022) melaporkan prevalensi stunting di Desa Banjar Agung, Lampung Selatan mencapai 21, 3%. Jamur tiram mengandung protein nabati yang cukup tinggi kaya vitamin B kompleks, serat, dan mineral seperti zat besi, kalsium, kalium, dan fosfor yang berperan penting dalam pertumbuhan dan perkembangan anak. Pemanfaatan bahan pangan lokal bergizi tinggi seperti jamur tiram menjadi salah satu solusi berkelanjutan dalam pencegahan stunting. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan ibu-ibu dan kader posyandu di Desa Banjar Agung, Lampung Selatan dalam rangka pencegahan stunting melalui edukasi dan pelatihan pengolahan jamur tiram tiram menjadi produk nutraseutika dalam bentuk pangan fungsional dari olahan jamur tiram yang dibuat menjadi nugget dan pepes jamur tiram. Kegiatan dilaksanakan dengan menggunakan metode pendekatan partisipatif yang meliputi edukasi terkait stunting dan pemanfaatan gizi jamur sebagai pangan fungsional yang berperan dalam pencegahan stunting, diskusi interaktif serta pelatihan praktek pembuatan nugget dan pepes jamur tiram. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan 30 orang ibu-ibu dan kader posyandu sebesar 20 % yang ditunjukkan dari hasil evaluasi pretest dan posttest peserta kegiatan yang mengikuti kegiatan edukasi dan pelatihan. Selain bertambahnya tingkat pengetahuan, ibu-ibu dan kader posyandu juga mendapatkan ketrampilan dalam mengolah pangan fungsional olahan berbasis jamur tiram yang dihasilkan. Kegiatan ini terbukti efektif dalam meningkatkan pemahaman masyarakat mengenai pemahaman jamur tiram tiram sebagai alternatif pangan yang mendukung upaya menurunkan angka stunting.
Determination Premiums Motor Vehicle Insurance Using Bonus-Malus Optimal Listiani, Amalia; Patricia, Mitha; Yulita, Tiara
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 6 Issue 1, April 2026
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol6.iss1.art2

Abstract

The increasing number of motor vehicles in Sumatera has heightened accident risks, emphasizing the need for motor vehicle insurance to distribute risk between policyholders and insurers. Determining fair and risk-based premium requires consideration of each policyholder’s claim history. This study aimed to determine motor vehicle insurance premiums using the optimal bonus-malus system based on claim data for the minibus category with comprehensive coverage in Sumatera during 2022. The proposed model extended the Bayesian bonus-malus framework by incorporating the trust region reflective (TRR) method for estimating claim severity and the Newton-Raphson method for estimating claim frequency, thereby enhancing parameter estimation accuracy and numerical stability. This approach offers a more equitable and precise premium adjustment mechanism aligned with individual risk levels, contributing to improved risk-based pricing, reduced underwriting losses, and greater transparency for policyholders. The results showed that the claim frequency followed the Poisson-Lindley distribution, while claim severity followed the lognormal-gamma distribution. Based on these models, the premium was computed by multiplying the basic premium by the relative value of the subsequent year and dividing it by the base relative value. Premium decrease in the absence of claims and increase when claims occur.
Comparative Modeling of Pineapple Production Using Gaussian GLM and Random Forest Regression Radot MH Siahaan; Indah Gumala Andirasdini; Fuji Lestari; Dwi Mahrani; Amalia Listiani
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28721

Abstract

This study aims to conduct a comparative modelling of pineapple production at PT Great Giant Pineapple (GGP) using Gaussian GLM as parametric statistical approach and Random Forest Regression method as machine learning based on monthly data from 2014 to 2022. Multicollinearity testing and distribution fitting were conducted to validate the Gaussian assumption. For the Random Forest Regression, hyperparameters were optimized by tuning the number of trees (ntree) and the number of predictors at each split (mtry) with model stability evaluated using Out-of-Bag (OOB) error. The Gaussian GLM achieved a MAPE of 8.41% (R² = 0.106) for the GP3 clone and 11.27% (R² = 0.149) for the F180 clone. Random Forest Regression produced a testing MAPE of 9.28% (R² = 0.144) for GP3 and 12.11% (R² = 0.105) for F180. While both models achieved low prediction error based on MAPE, they differed in identifying influential variables and showed limited explanatory power as indicated by low R² values. The Gaussian GLM identifies air pressure as significant for both clones and rainfall for F180 clone, while Random Forest consistently identifies rainfall as the most influential predictor. These findings confirm the complementary strengths of parametric and machine learning approaches in supporting climate-based production planning and risk mitigation.
ESTIMASI CADANGAN KLAIM MENGGUNAKAN METODE KALMAN FILTER DENGAN STATE SPACE MODEL SCALAR PADA PRODUK ASURANSI UMUM Chintya Carissa Manurung; Tiara Yulita; Amalia Listiani
KUBIK Vol 9 No 2 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

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

Abstract

Usually, there is a delay in reporting claims from the time of the incident which results in the insurance company having a responsibility or debt. Therefore, insurance companies need to prepare funds to cover these debts, namely with claims reserves. There are two types of claim reserves, namely Incurred But Not Reported (IBNR) and Reported But Not Settled (RBNS). This research focuses on determining the estimation of aggregate claim reserves using the Kalman Filter method with scalar State Space Models (SSMs) which is a model resulting from the development of the Chain Ladder (CL) method. The Kalman Filter method with SSMs is a stochastic method that takes into account the time series model so that it can predict the temporal dynamics of a system more accurately. The results of forecasting claim reserves using the Kalman Filter method with SSMs will be compared with the CL method. Variational Of Coefficient (VOC) is an error predictor to determine the best method. The calculation results using the Kalman Filter method with SSMs produce a smaller VOC value than the CL method, proving that the Kalman Filter method with SSMs is better than CL.
Pelatihan diversifikasi produk berbasis jagung dan rambut jagung di Desa Banjar Agung, Lampung Selatan Jatmiko Eko Witoyo; Noveliska Br. Sembiring; Eka Nur’azmi Yunira; Untia Kartika Sari Ramadhani; Juwana Janu; Mubarika Sekarsari Yusuf; Dila Tirta Julianty; Amalia Listiani; Fitria Nuraini; Putri Khotimatu Zahra; Gita Azizah Hakim
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 4 (2026): August (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i4.40093

Abstract

Abstrak Penanganan pascapanen jagung dan rambut jagung di Desa Banjar Agung masih kurang optimal dikarenakan keterbatasan pengetahuan masyarakat, yang berdampak pada rendahnya nilai ekonomi produk. Tujuan dari Program Pengabdian kepada Masyarakat (PkM) ini adalah untuk meningkatkan pengetahuan masyarakat Desa Banjar Agung dalam diversifikasi produk berbasis jagung dan rambut jagung menjadi produk yang bernilai tambah seperti tepung jagung, mi jagung, dan teh herbal rambut jagung. Metode pelaksanaan kegiatan PkM dilakukan melalui kombinasi ceramah dan demonstrasi langsung pembuatan produk pangan olahan berbasis jagung dan rambut jagung. Hasil kegiatan menunjukkan rerata pengetahuan masyarakat mengalami peningkatan dari 55,56% pada pre-test sebelum kegiatan PkM menjadi 95,56% pada post-test setelah kegiatan PkM. Hasil ini mencerminkan bahwa kegiatan PkM efektif dalam meningkatkan pengetahuan masyarakat Desa Banjar Agung dalam mengolah jagung dan rambut jagung menjadi produk bernilai tambah dengan nilai ekonomis yang lebih tinggi, sehingga secara tidak langsung diharapkan berdampak pada peningkatan ekonomi masyarakat Desa Banjar Agung. Kata kunci: diversifikasi produk; mi jagung; teh herbal rambut jagung; tepung jagung. Abstract Postharvest handling of corn and corn silks in Banjar Agung Village remains suboptimal due to the limited knowledge of the local community, which has resulted in the low economic value of the products. The objective of this Community Service Program (CSP) is to enhance the knowledge of the Banjar Agung Village community regarding the diversification of corn- and corn silk-based products into value-added products such as corn flour, corn noodles, and corn silk herbal tea. The implementation method of the CSP activities was carried out through a combination of lectures and direct demonstrations on the production of processed food products based on corn and corn silk. The results of the activity showed that the average level of community knowledge increased from 55.56% on the pre-test before the CSP to 95.56% on the post-test after the CSP. These results reflect that this CSP has been effective in enhancing the knowledge of the Banjar Agung Village community on processing corn and corn silk into value-added products with more economic value, which is expected to indirectly contribute to their economic improvement. Keywords: corn flour; corn noodles; corn silk herbal tea; product diversification.
Co-Authors Andi Fitriawati Andika Setiawan, Andika Anggi Cinta Tamania Anggraini, Leslie Aprilianda, Mohamad Meazza Aurelia Stephanie Lo Ayu Sofia Bagaskara, Radhinka Ba’its, Alfian Kafilah Chintya Carissa Manurung Dani Al Mahkya Dila Tirta Julianty Dila Tirta Julianty Drantantiyas, Nike Dwi Grevika Dwi Mahrani Eka Nur’azmi Yunira Eka Nur’azmi Yunira Faisal, Amir Febrianto, Andre Fitrawan, Mhd. Kadar Fitria Nuraini Fuji Lestari Fuji Lestari G. Gunawan Gita Azizah Hakim Harmiansyah Indah Gumala Andirasdini Jatmiko Eko Witoyo Juwana Janu Juwana Janu Khafifa , Laili Nur Manurung, Chintya Carissa Mubarika Sekarsari Yusuf Noveliska Br Sembiring Noveliska Br. Sembiring Patricia, Mitha Putri Khotimatu Zahra Radot MH Siahaan Rivai, Muklas Syaira Miranti Untia Kartika Sari Ramadhani Untia Ramadhani Untoro, Meida Cahyo Yulita, Tiara Yulita, Winda