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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Preventia Jurnal Aplikasi Teknologi Pangan Journal of Food and Culinary Buletin Ilmiah Sarjana Teknik Elektro Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Journal of Food Technology and Agroindustry Jurnal Abdimas Pariwisata International Journal of Educational Research and Social Sciences (IJERSC) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Anjoro : International Journal of Agriculture and Business International journal of education and learning Journal of Agri-Food Science and Technology (JAFoST) Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Jurnal Farmasetis Bulletin of Culinary Art and Hospitality Journal of Business on Hospitality and Tourism Jurnal Inovasi Teknologi dan Edukasi Teknik NUTRIENT JURNAL GIZI Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) Jurnal Akademika Baiturrahim Jambi
Mazarina Devi
Universitas Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Perbedaan Kadar Gula Darah Berdasarkan Jenis Kelamin dan Status Gizi (IMT) Lansia Penderita Diabetes Melitus Tipe 2 Reksi Umbu Remu Samapati; Ronasari Mahaji Putri; Hilda Mazarina Devi
Jurnal Akademika Baiturrahim Jambi Vol. 12 No. 2 (2023): September
Publisher : Universitas Baiturrahim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jab.v12i2.699

Abstract

One disease that often attacks old age is type 2 DM. The number of DM cases is increasing. Differences in gender and nutritional status (BMI) in blood sugar levels in elderly patients with type 2 diabetes at the Dinoyo Community Health Center, Malang City, were the aims of this research. Cross-sectional design and observational methods characterized this study. questionnaire-based data collection using a sample of 32 people selected using the quota sampling method. Man Whitney test was used to analyze the collected data. The results of the research showed that female respondents experienced an incidence of diabetes of (59.4%) and respondents who had an obese nutritional status experienced an incidence of diabetes of (93.8%); There are differences in blood sugar based on gender (p value = 0.007) and nutritional status (p value = 0.000) in elderly people suffering from type 2 DM at the Dinoyo Community Health Center, Malang City. It is hoped that future researchers will examine the role of the family which is associated with the incidence of type 2 DM
The Effect of Breadfruit Leaves (Artocarpus altilis) Addition to Antioxidant Content and Organoleptic Properties of Ginger Wedang Triana, Fatimah Agus; Devi, Mazarina; Soekopitojo, Soenar
Journal of Agri-Food Science and Technology Vol. 2 No. 1 (2021): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (222.499 KB) | DOI: 10.12928/jafost.v2i1.4314

Abstract

Ginger breadfruit leaves wedang is a functional beverage made from breadfruit leaves that contains high antioxidant value, ginger and palm sugar. Moreover the adding healthy value function in ginger breadfruit leaves wedang product, also to utilizing the breadfruit leaves into functional beverage of ginger breadfruit leaves wedang in order to be accepted by the people. This research aims to know 4%, 5% and 6% breadfruit leaves addition influence to antioxidant content (gallic acid, quercetin and kaempferol) and organoleptic properties. This experiment research using Completely Random Design (CRD) with three kinds of treatment. The analyzed data using One Way ANOVA, if the treatments shows difference significant, then the analyzed data should be proceed by Duncan’s Multiple Range Test with 5% confidence interval. The highest value of gallic acid antioxidant contect leads in 6% ginger breadfruit leaves wedang about 92,326 μg/ml. The highest value of quercetin antioxidant contect leads in 6% ginger breadfruit leaves wedang about 36,767 μg/ml. The highest value of kaempferol antioxidant contect leads in 6% ginger breadfruit leaves wedang about 25,921 μg/ml. The highest score of color hedonic is 3,97, and the highest score of taste hedonic is 3,67. The highest score of color hedonic quality is 3,11 with dark brown color criteria. The highest score of taste hedonic quality is 4,17 with a bit bittersweet taste criteria
Pelatihan Pengembangan Produk Olahan Ikan Terinasi Pada Kader Pkk Di Kecamatan Pakisaji Devi, Mazarina; Wahyuni, Wiwik; Nurbaya, Arindra; Umniati, Sri
Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) 2024: Membangun Masyarakat Berkelanjutan melalui Penerapan Teknologi di Era Society 5.0
Publisher : Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS)

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

Abstract

Masalah stunting masih menjadi salah satu permasalahan kesehatan yang terdapat di Kecamatan Pakisaji. Kejadian stunting berhubungan dengan asupan makanan yang kurang atau rendahnya asupan protein. Keragaman jenis makanan dan konsumsi ikan digerakkan sebagai upaya pencegahan stunting. Tujuan pengabdian ini adalah meningkatkan skill kader PKK dalam mengembangkan produk jajanan balita tinggi protein. Metode yang dilakukan dengan cara melatih kader PKK membuat produk olahan cilok dan siomay tinggi protein dobel protein hewani dengan bahan baku utama dari ikan teri nasi dan ayam. Pelatihan dilakukan di Pendopo kecamatan Pakisaji yang diikuti oleh 40 peserta dengan rincian peserta dari unsur ketua PKK, ketua pokja empat, serta kader posyandu dari seluruh desa yang terdapat di Kecamatan Pakisaji. Kegiatan pengabdian diawali dengan pemberian materi oleh tim pengabdian dari LPPM UM dan dilanjutkan dengan praktik membuat jajanan tinggi protein dobel protein hewani berupa cilok dan siomay ikan teri nasi. Peserta antusias dan aktif mempraktikan membuat produk olahan dari ikan teri nasi. Diharapkan hasil pelatihan dikembangkan di desa masing-masing peserta. Kata kunci— pelatihan, produk olahan, ikan teri, stunting, dobel protein
Integrasi Smart Camera dan AI untuk Mendukung Agribisnis Kopi Berkelanjutan di Wilayah Pedesaan Indonesia Kiranawati, Titi Mutiara; Aripriharta, Aripriharta; Zubaidah, Siti; Devi, Mazarina; Salwa, Nur Fadhila Rasyida; Ananta, Sasmita Bagus Sang Kesuma; Bagaskoro, Muhammad Cahyo
Abditeknika Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Oktober
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v5i2.9602

Abstract

Kendala utama agribisnis kopi pedesaan di Lembah Dilem Wilis, Trenggalek, adalah kualitas biji yang tidak konsisten akibat sortir manual. Sistem sortir otomatis berbasis Smart Camera dan AI dikembangkan untuk klasifikasi real-time biji kopi berdasarkan visual seperti warna dan ukuran. Dirancang dengan Raspberry Pi, sensor kamera, dan algoritma CNN , penerapannya melibatkan kolaborasi peneliti dan petani lokal secara partisipatif. Kami menggunakan 500 data latih yang diakuisisi dari aplikasi untuk pelatihan model CNN kami. Uji lapangan menunjukkan sistem ini mengurangi waktu sortir dari 45 menjadi 15 menit per kg, meningkatkan akurasi seleksi dari 75% menjadi 94%, dan melipatgandakan produktivitas harian. Analisis confusion matrix heatmap mengonfirmasi akurasi klasifikasi tinggi , dan sensor PZEM menunjukkan keandalan pemantauan daya. Meskipun meningkatkan efisiensi, tantangan adopsi petani kecil dan variasi kondisi biji kopi menjadi area pengembangan lebih lanjut. Evaluasi kuantitatif sebelum dan sesudah implementasi, menggunakan sampel biji kopi lokal, menegaskan bahwa integrasi teknologi ini meningkatkan efisiensi, mutu produksi, dan memberdayakan petani menuju agribisnis berkelanjutan.   The primary challenge for rural coffee agribusiness in Dilem Wilis Valley, Trenggalek, is inconsistent bean quality due to manual sorting. An automated sorting system based on Smart Camera and AI was developed for real-time classification of coffee beans based on visual parameters like color and size. Designed with a Raspberry Pi, camera sensor, and CNN algorithm , its implementation involved participatory collaboration between researchers and local farmers. We used 500 training data acquired from the application for our CNN model training. Field trials showed the system reduced sorting time from 45 to 15 minutes per kg, increased selection accuracy from 75% to 94%, and doubled daily productivity. Confusion matrix heatmap analysis confirmed high classification accuracy , and PZEM sensors demonstrated reliable power monitoring. While enhancing efficiency, challenges in small-scale farmer adoption and varied bean conditions present areas for further development. Quantitative evaluation before and after implementation, using local coffee bean samples, affirmed that this technology integration boosts efficiency, product quality, and empowers farmers towards sustainable agribusiness.
Comprehensive Study Enhancing Quality Of Education In Indonesia: Leadership, Work Environment, Motivation Among Vocational School Teachers Dwiyono, Gunawan; Purnomo, Purnomo; Sutadji, Eddy; Devi, Mazarina
International Journal of Educational Research & Social Sciences Vol. 4 No. 5 (2023): October 2023 ( Indonesia - Nigeria )
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v4i5.710

Abstract

The Covid-19 pandemic's end led to rapid adaptation in the education sector with a shift to online learning for approximately 2 years. This prolonged duration resulted in a decline in education quality evident in online learning. Post-pandemic research aims to analyze the impact of leadership, work environment, and work motivation on vocational teachers in Indonesia. Regression analysis demonstrates that these factors collectively influence education quality. However, partial analysis reveals insignificant effects of leadership, while the work environment significantly impacts education quality. Motivation and teacher performance show no significant contributions to education quality. Further research recommendation includes using longitudinal analysis over an extended period to assess variable-related changes.
ANALYSIS OF ANTIOXIDANT CAPACITY AND GLUCOSE LEVEL OF BREADFRUIT LEAVES FUNCTIONAL DRINKS TREATED WITH DIFFERENT RATIO OF SWEETENERS Devi, Mazarina; Wibowotomo, Budi; Soekopitojo, Soenar
Journal of Business on Hospitality and Tourism Vol. 5 No. 1 (2019): Journal of Business on Hospitality and Tourism
Publisher : Institut Pariwisata dan Bisnis Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22334/jbhost.v5i1.135

Abstract

Efforts to lower blood sugar levels for diabetes mellitus patients can take by consuming  a popular functional drinks which has been added by herbal ingredients such as breadfruit leaves. The aim of this research is to observe the effect of addition three-types of sweetener (aspartame, acesulfam k, and sorbitol) in different ratio (50%: 25%: 25%, 25%: 50%: 25%, 25%: 25%: 50%) to the antioxidant capacity and glucose level of functional drinks made from breadfruit leaves, as well as its number of calories and variety sensory tests (sour taste, sweetness and texture). The experimental design used a Completely Randomized Design with three replications. This study also employs 35 panellists to produce organoleptic quality data in two repetitions.  All collected data were then analyzed using ANOVA test followed by DMRT test. Results showed that the highest antioxidant capacity was obtained by ratio 25%: 25%: 50% of aspartame, acesulfam k, and sorbitol with IC50 value of 64,717 ppm. Meanwhile the lowest glucose level was resulted by ratio 50%: 25%: 25% of aspartame, acesulfam k, and sorbitol in value of 25.53 g/100g. The highest number of calorie was produced by ratio 25%: 25%: 50% of aspartame, acesulfam k, and sorbitol with a value of 126.44 cal. / 100gr. Whereas, the most preferred formulas of breadfruit drink formulas are found in ratio 25%: 25%: 50% of aspartame, acesulfam k, and sorbitol.
Machine Learning Approaches for Binary Classification of Portion Size and Cooking Time in Indonesian Recipes Devi Dwi Purwanto; Aji Prasetya Wibawa; Mazarina Devi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 3 (2026): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i3.16013

Abstract

Estimating portion sizes and cooking times are goals for smart kitchen assistants, enabling better meal planning and reducing food waste due to over-portioning. Existing approaches in computational gastronomy often struggle to provide estimates from prepared ingredient data. This study uses XGBoost to extract features from a dataset containing 1,400 Indonesian recipes to predict binary classification targets for portion sizes and required cooking times. The dataset used for the prediction includes information on ingredients and their quantities, as well as preparation steps. In addition to the recipe dataset, the TKPI dataset is also used to help determine the category of food ingredients, protein content, and cooking technique complexity. This dataset is then further optimized with hyperparameters to maximize model performance. This paper conducted trials with 6 models where the best model for portion size had an accuracy of 0.7821 with a balanced accuracy of 0.4929, and an F1 Score of 0.8763, while the accuracy for cooking time was 0.6929 with a balanced accuracy of 0.6445, and an F1 Score of 0.7737. From the best model, it was found that the quantity of weighted ingredients and the distribution of ingredients per step were among the most influential features, while step-based and technique-based features were the most important features for cooking time. The contribution of this research is the development of an interpretable model for meal planning efficiency in culinary applications. These results indicate that feature aggregation combined with XGBoost provides actionable insights for smart kitchen assistants and recommendation systems.
Co-Authors Ab Wahab, Noorakmar Abdul Hamid, Mansoor Adelianda Auliani Kamaruddin Nur Afin Regina Cahyani Afin Regina Cahyani Agung Kurniawan Ahmad, Fisal Aji Prasetya Wibawa Ananta, Sasmita Bagus Sang Kesuma Andini Santoso Angel Sucaning Hikmah Aripriharta - Bagaskoro, Muhammad Cahyo Budi Wibowotomo Cahyani, Afin Regina Chi Hong Yeap Chong , Wan Ni Devi Dwi Purwanto Djoko Kustono Dwiyono, Gunawan Eddy Sutadji Eka Ayu Mentari Putri Firlia Wahyu Puspitasari Giri Halimah Hasmadi Mamat Heri Pratikto Hong, Yeap Chi Ifa Choirunnisa Ika Mutiara Ima Wardani Hazawen Inda Riana Wulansari Indah Puspita Sari Issutarti Issutarti Issutarti Issutarti Kai Yen Lim Kit, Jason Chuah Wai Laili Hidayati Lismi Animatul Chisbiyah Mansoor Abdul Hamid Mansoor Abdul Hamid Mantony, Oslida Marji Marji Maryana Muhamad Nor Maya Eka Pradana Minatus Isnatur Rahmawati Ming F. Teng Mohd. Razali, Umi Hartina Muhammad Zaki Muladi Muntholib Narju Najah Afnany Naufal Taufiqurrahman Nonny Aji Sunaryo Nurbaya, Arindra Nurul Falah Hashim Nurwikan Sutralestari Ovi Nur Fita Sari Peppy Mayasari, Peppy Poncowuri Handayani Purnomo Purnomo Reksi Umbu Remu Samapati Rendis Trisnawan Rizki Yulianingrum Roma Idatul Koir Ronasari Mahaji Putri Rustiani Dwi Untari Salwa, Nur Fadhila Rasyida Septa Katmawanti, Septa Shanti Dri Lestari Siti Zubaidah Soenar Soekopitojo Sugiyanto - Sunsya Putri Cahyaning Gusti Tata Sekar Juang Asmarani Teti Setiawati Titi Mutiara Kiranawati Tri Kuncoro Triana, Fatimah Agus Tuatul Mahfud Ummi Rohajatien Ummi Rojahatien Umniati, Sri Wiwik Wahyuni Yeni Susanti Yunus Fandi Prasetyo Zorayda Nabila Denata