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All Journal Jurnal Riset Veteriner Indonesia (Journal of The Indonesian Veterinary Research) Journal of Data Science Methods and Applications
Gilang, Gilang Ramadhan
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Library & Information Science Veterinary

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Pemanfaatan Machine Learning untuk Prediksi Kepuasan Pelanggan pada UMKM Digital Agus Rahardi; Nursalim, Nursalim; Andini, Rekha Aprilia; Tri, Anugrah Tri Agil S; Gilang, Gilang Ramadhan; Dwi, Dwi Salim; Nurjoko
Journal of Data Science Methods and Applications Vol. 1 No. 2 (2025)
Publisher : Program Studi Sains Data - Institut Informatika dan Bisnis Darmajaya

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Abstract

UMKM digital memainkan peran penting dalam perekonomian Indonesia, namun mempertahankan kepuasan pelanggan tetap menjadi tantangan utama. Penelitian ini bertujuan untuk membangun model prediksi kepuasan pelanggan menggunakan algoritma Machine Learning seperti Logistic Regression, Decision Tree, dan Random Forest. Dataset simulasi sebanyak 10.000 entri pelanggan digunakan, mencakup fitur-fitur seperti frekuensi pembelian, nilai transaksi rata-rata, rating layanan, dan metode pembayaran. Model dievaluasi berdasarkan metrik B. Hasil penelitian menunjukkan bahwa algoritma Random Forest memberikan akurasi dan kinerja terbaik dalam mengklasifikasikan kepuasan pelanggan. Temuan ini menunjukkan potensi besar penggunaan Machine Learning dalam membantu UMKM digital meningkatkan kualitas layanan dan loyalitas pelanggan.
The EFFECTIVENESS OF MANGO LEAF EXTRACT SUPPLEMENTATION (MANGIFERA INDICA L.) ON METABOLIC DISEASE PANEL OF WISTAR RATS (RATTUS NORVEGICUS) INDUCED BY HIGH-FAT DIET: Diabetes, Glucosa, Mango Leaf, Supplement Gilang, Gilang Ramadhan; Ramadhan K., Muhammad Zoel Vitra; Azzuhdi, Faiz Adlan; Azzahra, Nabila; Nurlina; Zahrani, Putri Dyah; Amriani, Rini; Sari, Dwi Kesuma; Bahmid, Nur Alif; Andini, Nurul Sulfi
Jurnal Riset Veteriner Indonesia (Journal of The Indonesian Veterinary Research) VOLUME 10, No 1, JANUARY 2026
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jrvi.v10i1.48703

Abstract

High-calorie foods can cause obesity if consumed in excess. Obesity occurs due to excessive fat accumulation in the body. Excess weight is a major risk factor for secondary disorders in pets, such as diabetes mellitus. Diabetes mellitus occurs due to high blood glucose levels. Mango leaf extract contains bioactive compounds that can lower and normalise blood glucose levels and can be used as a supplement. This study aims to determine the effectiveness of mango leaf extract supplementation induced by a high-fat diet on blood glucose levels. This study used arumanis and golek mango leaf. The methods used were extraction and in vivo testing. Extraction was performed on mango leaf, and the extraction results were administered to test animals in vivo. The phytochemical results showed that arumanis and golek mango leaf contain flavonoids, tannins, alkaloids, and saponins. The results showed that arumanis mango leaf extract was more effective in lowering blood glucose levels than golek mango leaf extract. These findings are expected to contribute to the development of knowledge about supplements and drug substitutes, as well as to identify more practical methods for drug therapy for diabetes mellitus in pets.
Co-Authors Agus Rahardi Amriani, Rini Andini, Nurul Sulfi Andini, Rekha Aprilia Azzahra, Nabila Azzuhdi, Faiz Adlan Bahmid, Nur Alif Dwi Kesuma Sari Dwi, Dwi Salim Nurjoko Nurlina Nursalim Nursalim Ramadhan K., Muhammad Zoel Vitra Tri, Anugrah Tri Agil S Zahrani, Putri Dyah