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All Journal agriTECH Indonesian Food and Nutrition Progress Jurnal Teknologi Pertanian (Agricultural Technology Journal) AGRITEKNO, Jurnal Teknologi Pertanian Jurnal Tekinkom (Teknik Informasi dan Komputer) Community Education Engagement Journal Journal of Applied Agricultural Science and Technology Jurnal Algoritma JUDIKAT: Jurnal Pengabdian Kepada Masyarakat The Indonesian Journal of Computer Science
Rini Yanti, Rini
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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The Consumption Effect of Indigenous Probiotic Powder Lactobacillus plantarum Dad-13 on Gut Microbiota Population and Short Chain Fatty Acids in Students of SMPN 1 Pangururan, Samosir Manurung, Nancy Eka Putri; Hasan, Pratama Nur; Juffrie, Mohammad; Utami, Tyas; Yanti, Rini; Rahayu, Endang Sutriswati
Indonesian Food and Nutrition Progress Vol 21, No 1 (2024)
Publisher : Indonesian Association of Food Technologists

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ifnp.86598

Abstract

The human intestine is a diverse ecosystem populated by microbiota affected by several factors, including age. The aim of this research was to evaluate the effects of the probiotic powder Lactobacillus plantarum Dad-13 on the numbers of gut microbiota, short-chain fatty acids (SCFA), and fecal characteristics in healthy adolescents. This research was conducted at SMPN 1 Pangururan, Samosir, with a randomized, double-blind, parallel placebo-controlled trial. 54 healthy adolescents aged 13 to 14 were divided into two groups, one consumed a gram of skimmed milk powder (placebo group) and the other ingested powder containing L. plantarum Dad-13 with 1.18 × 109 CFU/gram (probiotic group). After 33 days of intervention, the height of placebo group (149.42 ± 5.03 cm) and probiotic group (154.37 ± 4.67 cm) increased significantly. Significant increases in body weight (44.35 kg ± 4.61 to 45.20 kg ± 4.78) and BMI (and 18.77 ± 2.12 to 18.99 ± 2.11) were observed in the probiotic group. In the probiotic group, the numbers of gut microbiota were not significantly affected (p > 0.05). The amount of SCFA and fecal characteristics of both groups showed no significant differences. Thus, the consumption of L. plantarum Dad-13 increased weight, height, and BMI but could not influence the numbers of gut microbiota, SCFA, and the fecal characteristics of healthy adolescents.
Effect of The Ratio of Purple Sweet Potato Flour and Rice Crust Flour on The Physical, Chemical, and Sensory Properties of High-Fiber Snack Bar Safira, Tsaania Miftakhul; Yanti, Rini; Manikharda, Manikharda; Triwitono, Priyanto
Indonesian Food and Nutrition Progress Vol 21, No 1 (2024)
Publisher : Indonesian Association of Food Technologists

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ifnp.87835

Abstract

Dietary fiber, an indigestible component of plants, offers significant health benefits for humans. Creating a high-fiber snack bar can be a substitute for meeting daily requirements for dietary fiber. This research aimed to create snack bar products utilizing locally sourced ingredients, specifically rice crust flour and purple sweet potato flour, with the goal of optimizing the utilization of local food resources and enhancing the diversity of Indonesian cuisine. This study aimed to investigate how the proportion of purple sweet potato flour and rice crust flour influenced the chemical, physical, and sensory characteristics of the high-fiber snack bars that were created. The proportions of purple sweet potato flour to rice crust flour differed across the four snack bar formulas: FI (100%:0%), F2 (90%:10%), F3 (80%:20%), and F4 (70%:30%). The effectiveness index method was employed to determine the optimal formulation for the snack bar. The results indicated that lowering the proportion of purple sweet potato flour would enhance the firmness and color of the snack bar. The dietary fiber content (%db) of each formula was as follows: F1 (18.92 ± 1.43%), F2 (18.33 ± 0.79%), F3 (18.56 ± 2.73%), and F4 (19.48 ± 0.40%). The sensory test results showed a direct correlation between the panelists' preference level and the decrease in the proportion of purple sweet potato flour. Formula F4, consisting of a 70% proportion of purple sweet potato flour and a 30% proportion of rice crust flour, is the optimal formula for creating a snack bar. 
Optimasi Algoritma Knn Menggunakan Smote Untuk Prediksi Stroke Khairi, Zuriatul; Yanti, Rini; Fitri, Triyani Arita; Fatdha, Eiva
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2474

Abstract

Stroke is a disease with a high mortality and disability rate, especially in Indonesia. Early detection of stroke risk is important to prevent serious consequences. This study examines the distribution of stroke cases based on age groups and evaluates the performance of the K-Nearest Neighbors (KNN) algorithm on imbalanced data and after applying the Synthetic Minority Oversampling Technique (SMOTE). The analysis uses two data division scenarios: 80:20 and 70:30 between training and test data. The results show that the risk of stroke increases with age. No cases were found in the 20–30 age group, cases began to appear in the 30–40 age group, and increased sharply above the age of 50. KNN without SMOTE had an accuracy of 95% (80:20) and 94% (70:30), but low recall, 0.04 and f1-score 0.07 (80:20), and recall 0.03 and f1-score 0.05 (70:30). After SMOTE, recall increased to 0.36 and f1-score 0.21 (80:20), and recall 0.28 and f1-score 0.17 (70:30). Accuracy decreased to 86% in both ratios, but recall and f1-score increased, indicating that the model was more sensitive to stroke cases. Overall, SMOTE effectively reduces majority class bias and helps the model recognize overlooked stroke patterns. However, sensitivity still needs to be improved through parameter tuning, selection of relevant features, or alternative algorithms to enhance prediction reliability.
Optimasi Klasifikasi Tingkat Obesitas Pada Remaja Berdasarkan Pola Hidup Menggunakan SVM Dengan Teknik Smote Setiawan, Andri; Yanti, Rini; Ali, Edwar; Yenni, Helda
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2509

Abstract

Obesity is a condition caused by an imbalance between energy intake and expenditure, characterized by excessive fat accumulation in the body. Obesity is influenced by four factors, namely genetics, economics, lack of activity, and diet. The purpose of this study is to analyze the effectiveness of the SMOTE method in improving the accuracy of classification in the Support Vector Machine method and to compare the accuracy of the Support Vector Machine method with the SMOTE and non-SMOTE techniques on adolescent obesity data. The dataset used was obtained from the Kaggle website, which contained 2,111 records. The model evaluation used a confusion matrix with accuracy, precision, recall, and F1-score measurements and used 80:20 data splitting. The results showed that the SVM model using Smote performed well with an accuracy of 88% for Linear SVM, 82% for RBF SVM, and 93% for Polynomial SVM, while the SVM model without Smote achieved an accuracy of 88% for Linear SVM, 79% for RBF SVM, and 91% for Polynomial SVM. The best classification model was then implemented into a Streamlit-based web application to facilitate the process of automatically predicting obesity levels, thereby helping to raise awareness of the potential risks of obesity.
Penguatan Tata Kelola Desa untuk Mendorong Pembangunan Efektif di Kubang Jaya Basarah, Budiman; Haryono, Dwi; Yanti, Rini; Dewita, Isma; Sakrora, Iqra Lugan
JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): JUDIKAT: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/judikat.v5i1.5484

Abstract

Abstrak Tata kelola desa yang baik merupakan prasyarat tercapainya pembangunan yang efektif dan berkelanjutan. Desa Kubang Jaya, Kabupaten Kampar, menghadapi tantangan dalam pengelolaan sumber daya, transparansi, dan akuntabilitas pemerintahan desa. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas aparatur desa melalui sosialisasi regulasi terkait pemerintahan desa, pelatihan manajemen pembangunan, serta pemanfaatan teknologi digital dalam administrasi desa. Metode yang digunakan meliputi ceramah interaktif, pelatihan, simulasi aplikasi teknologi, serta evaluasi melalui pre-test dan post-test. Hasil kegiatan menunjukkan adanya peningkatan signifikan pemahaman peserta terhadap prinsip-prinsip tata kelola desa yang baik, dari tingkat awal 74,71% menjadi 99,41% setelah pelatihan. Selain itu, kegiatan ini juga memperkuat kesadaran pentingnya partisipasi masyarakat, penerapan transparansi, dan penggunaan teknologi dalam mendukung pembangunan desa. Kegiatan pengabdian ini terbukti efektif dalam membangun kapasitas aparatur dan masyarakat desa sebagai fondasi untuk mewujudkan pembangunan desa yang partisipatif, transparan, dan berkelanjutan.
Ozone-Induced Kinetic Deactivation of Aspergillus flavus in Nutmeg Seed (Myristica fragrans Houtt) Prasetia, Hendra Adi; Setyabudi, Francis Maria Constance Sigit; Yanti, Rini; Hidayat, Chusnul
agriTECH Vol 46, No 1 (2026)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.103217

Abstract

Aspergillus flavus is a fungal species frequently contaminating nutmeg seeds. Therefore, this study aimed to prevent sporulation by introducing gaseous ozone treatment. In the process, spore suspensions (4.8 x 10 7 spore/ mL) were exposed to ozone (0-11 ppm) for 90 min. Approximately 0.5 mL of each suspension was plated on CDA and incubated at 28 °C (7 days; 24 hours for the remaining samples) alongside the remaining 4.5 mL for 24-60 hours. The results showed that the treatment has significantly delayed the spore germination up to 60 hours. A positive correlation exists between the increasing gas concentration and the lowering of germination. Furthermore,  the reduction of A. flavus load after being treated was from 0.24-1.2 log spores/mL. The efficacy of this treatment is directly proportional to the concentration of ozone. The three proposed models, including the linear log regression, the Geeraerd shoulder, and the Weibull models, were fully suitable for describing spore inactivation kinetics, emphasizing the potential of ozone as an effective antifungal treatment for microbial control.
Corrigendum to ‘Ethanolysis Pre-treatment of Crude Palm Oil in High Shear Reactor’ [agriTECH, (2025), 45, 1, 10.22146/agritech.81499] Hidrotunnisa, Hidrotunnisa; Yanti, Rini; Hidayat, Chusnul
agriTECH Vol 46, No 1 (2026)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/agritech.117205

Abstract

DOI of original article: https://doi.org/10.22146/agritech.81499Authors Correction:The authors regret a typographical error in the ABSTARCT page 41. It was written as 'yielding FAEE 1358±16 ppm and TCC 99.9±0.2%'. It should correctly read 'yielding FAEE 99.9±0.2% and TCC 1358±16 ppm'.
Co-Authors Aini, Novia Nur Andri Setiawan Azhari, Zahra Basarah, Budiman Cahyanto, Muhammad N Chusnul Hidayat Dewita, Isma Dian Anggraini Suroto Dwi Haryono Edwar Ali Efrizoni, Lusiana Endang Sutriswati Rahayu Erlinda, Susi Fatdha, Eiva Fibri, Dwi Larasatie Nur Fidelima, Aviva Gunadi Hamdani Hamdani Hasan, Pratama Nur Helda Yenni, Helda Hendra Adi Prasetia Hidrotunnisa, Hidrotunnisa Khafsah, Fatya N Malya, Vivi Triani Manikharda, Manikharda Manurung, Nancy Eka Putri Mohammad Juffrie, Mohammad Muhammad Nur Cahyanto Muhammad Zulkifli, Muhammad Nurdiawati, Hermina Putri, Yuniar Wika Perdana Rahayu, Endang Safira, Tsaania Miftakhul Sakrora, Iqra Lugan Saputra, Wahyu Dwi Setyabudi, Francis M.C. Sigit T Sy Eiva Fatdha, T Sy Eiva Tanuwijaya, Shania Angeline Triwitono, Priyanto Triyani Arita Fitri Tyas Utami Wirta Agustin Wulandari, Pudji Yoyon Efendi Yudi Pranoto Zuriatul Khairi