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All Journal Journal of Biomedicine and Translational Research Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JPSCR : Journal of Pharmaceutical Science and Clinical Research PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat JOURNAL LA MEDIHEALTICO Al Khidma: Jurnal Pengabdian Masyarakat Asian Journal of Community Services (AJCS) Homeostasis: Jurnal Mahasiswa Pendidikan Dokter Journal of Global Pharma Technology CSRID
Fujiati ., Fujiati
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Analisis Perbandingan Algoritma Klasifikasi Terhadap Data Problem Mesin ATM Dengan Rapidminer Tanjung, Dahriani Hakim; Dewi, Rofiqoh; Fujiati, Fujiati; Salim, Rinrin Meilani
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.2.2024.188-200

Abstract

The aim of the proposed research is to compare and test the accuracy of data mining classification algorithms. Comparing algorithms that depend on different parameters of a given data set. There are learning and classification algorithms that are used to analyze, study and classify the available data. However, the problem is finding the best algorithm and the desired results with the highest level of accuracy in predicting future values ​​or events from a data set. Where the classification models used are the C4.5 and Naïve Bayes algorithms. Testing and validation using k-fold Cross Validation as well as evaluating the performance of the prediction model using the ROC-AUC graph with graphic visualization. The data used as samples were taken from ATM machine problem data with a total of approximately 250 samples. Testing was carried out with the help of the Rapidminer tool with operators and parameters used in creating models of the algorithms being compared. The tests that have been carried out prove that the C4.5 algorithm has the best performance with an average accuracy value of 96.00%, a recall value of 97.78% and a precision value of 92.14%, while the naïve Bayes algorithm produces an accuracy value of 83. 00%, the recall value is 76.40% and the precision value is 84.82%. Apart from that, evaluation and validation in this test is also seen based on the ROC curve called AUC (Area Under the ROC Curve) where for the C4.5 algorithm the value is 0.931 while naïve Bayes is 0.894 so the C4.5 algorithm is categorized as Very Good Classification because it has a value between 0.90-1.00. These results show that the C4.5 algorithm is proven to be a potentially effective and efficient classification algorithm.
Membangun Hidup Sehat Tanpa Hipertensi (Manajemen Pengendalian dan Pencegahan Hipertensi Mandiri, Mengenal Tanaman Herbal Antihipertensi, dan Membuat Suplemen Herbal Sendiri): Building a Healthy Life Without Hypertension (Self-Management of Hypertension Control and Prevention, Getting to Know Antihypertensive Herbal Plants, and Making Your Own Herbal Supplements) Fujiati, Fujiati; Isnaini, Isnaini; Joharman, Joharman; Asnawati, Asnawati; Al Audhah, Nelly; Silapurna, Endah Labaty; Hayatie, Lisda; Setyohadi, Dwi
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 4 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i4.8509

Abstract

Hypertension is a major risk factor for cardiovascular disease, posing significant public health challenges globally. The prevalence of hypertension with uncontrolled blood pressure and its increasing number is not only caused by individual negligence but can be caused by community ignorance as a result of a lack of information on a disease. Measures to control and prevent hypertension in the community can be carried out including hypertension self-management education, introduction of antihypertensive plants, and training in making health supplements from herbs. To improve the degree of public health and knowledge of the community in the area of West Martapura Subdistrict, counseling, and training were conducted with the PKK mobilizing team of West Martapura Subdistrict using visual (electronic) media, leaflets in the form of education and demonstrations of making health supplements (fermented garlic). In this activity, the average post-test results of knowledge about self-management of hypertension prevention and control were 90.5, the average knowledge of herbal plants that have the potential as antihypertensives was 89.0 and the average post-test value of knowledge and skills in making health supplements from herbal plants in the form of fermented garlic was 84.5.
Designing a Stunting Prediction Model Using Machine Learning to Support SDGs Achievement in Indonesia Sinaga, Mikha; Fujiati, Fujiati; Halawa, Darma
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15296

Abstract

Stunting remains a major public health challenge in Indonesia, with national prevalence among children under five reaching 21.6% in 2022, according to the Ministry of Health. This condition, defined by the World Health Organization as a height-for-age less than -2 SD, is associated with long-term consequences including impaired cognitive development, reduced educational attainment, and diminished economic productivity. Addressing stunting is therefore critical to achieving Sustainable Development Goals (SDGs) related to hunger, health, and education. Despite multiple national initiatives, early identification of stunting risk is still limited by reliance on conventional, reactive surveillance methods. Recent advances in machine learning (ML) provide promising alternatives for proactive stunting prediction, with several studies reporting high predictive accuracy using ensemble methods, hybrid frameworks, and geographically weighted models. Building upon this evidence, the present study develops and evaluates ML models for stunting risk prediction using a large dataset of 10,000 records from North Sumatra, Indonesia. The dataset included three predictor variables—age, height, and weight—and a target variable, nutritional status (Normal, Stunted, Severely Stunted, Tall). Four algorithms were compared: K-Nearest Neighbors (KNN), Naïve Bayes, Decision Tree, and Random Forest. Performance was assessed using accuracy, precision, recall, F1-score, and ROC area, with 10-fold cross-validation ensuring robust estimation. Results demonstrated that Decision Tree (88.6% accuracy) and Random Forest (88.3% accuracy) outperformed KNN (84.7%) and Naïve Bayes (72%). ROC areas further confirmed the superiority of ensemble-based approaches, particularly Random Forest (0.979). Statistical significance was tested using McNemar’s test, revealing that Decision Tree and Random Forest achieved comparable performance (p = 0.651), both significantly outperforming KNN and Naïve Bayes (p < 0.05). This study contributes a context-specific evaluation of ML methods for stunting prediction in North Sumatra, emphasizing not only predictive accuracy but also interpretability to support health policy and program implementation. By bridging data-driven insights with actionable decision support, the proposed framework advances progress toward SDG-aligned strategies and provides a foundation for more targeted and preventive interventions in child nutrition and growth monitoring.
Penerapan Game Design Document dalam Perancangan Game Edukasi yang Interaktif untuk Menarik Minat Siswa dalam Belajar Bahasa Inggris Rahayu, Sri Lestari; Fujiati, Fujiati
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 3: Juni 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.679 KB) | DOI: 10.25126/jtiik.201853694

Abstract

Pentingnya belajar bahasa inggris pada usia dini dikarenakan bahasa inggris merupakan bahasa internasional. Metode belajar pada anak usia dini adalah belajar sambil bermain, anak-anak juga akan lebih mudah untuk menerima informasi dalam bentuk multimedia. Media pembelajaran yang interaktif akan membantu anak dalam menguasai pelajaran bahasa inggris sejak dini. Pada penelitian ini penulis membuat Game edukasi sebagai media pembelajaran yang interaktif. Dalam pembuatan game edukasi yang interaktif dibutuhkan perancangan Game Desain Document. Pada saat anak belajar dengan metode konvensional maka anak akan susah memahami dan cepat bosan karena anak belajar dari buku dan mendengarkan guru menjelaskan tetapi dengan adanya game edukasi sebagai media pembelajaran yang interaktif maka diharapkan akan memudahkan anak dalam mempelajari, memahami dan menguasai bahasa asing khususnya bahasa inggris. Aplikasi game yang dibangun menggunakan metode Game Design Document (GDD) dan metode perancangannya menggunakan metode waterfall.  Adapun hasil dari penelitian ini berupa aplikasi media pembelajaran dan mendapatkan nilai presentase 80% dari kuesioner yang diisi oleh pengguna. AbstractThe importance of learning English at an early age because English is an international language. The method of learning in early childhood is learning while playing, children will also be easier to receive information in multimedia form. Interactive learning media will help children to master English language lessons early. In this study the author makes educational games as interactive learning media. In making interactive educational games, it is necessary to design a Document Design Game. When the child learns by conventional methods, the child will be difficult to understand and get bored quickly because the child learns from the book and listens to the teacher explaining but with the educational game as an interactive learning media it is expected to facilitate the child in learning, understanding and mastering foreign languages, especially English . Game applications are built using the Game Design Document (GDD) method and the design method uses the waterfall method. The results of this study are in the form of learning media applications and get a percentage value of 80% from the questionnaire filled in by the user.
Community Empowerment in Training of Fish Preservation Processing Typical of Wetland Environment with Commercial Value Fujiati, Fujiati; Irawanto, Irawanto
Asian Journal of Community Services Vol. 3 No. 3 (2024): March 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajcs.v3i3.8512

Abstract

Haruan, or cork fish (Channa striata), is an abundant freshwater marine wealth and is found in many rivers or swamp areas in South Kalimantan, including in the neighborhood of RT 05 Keliling Benteng Ulu Village. This fish has a high economic value and good nutritional content, especially albumin. Haruan fish is usually consumed directly by the community or made into salted fish. The problems found in the community are (a) there is no Haruan fish jerky production; (b) there is no knowledge of how to make Haruan fish jerky. The purpose of this activity is to increase economic selling value and provide nutritious alternative foods. Problem solving for partners is done by guiding the making of haruan fish jerky.
Edukasi dan pelatihan (eduhan) pembuatan teh celup daun Paraboea Sp dan herbal untuk kesehatan paru pada kader RT.05 Desa Keliling Benteng Ulu Martapura Barat Fujiati, Fujiati; Haryati, Haryati; Joharman, Joharman; Al Audhah, Nelly; Sari, Muthia Noor Rahma; Humaira, Tiara Husna; Salsabilla, Hanna Maria; Rahmah, Nasyawa Nur Shifa; Irawanto, Irawanto
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 6 (2025): November (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i6.35721

Abstract

AbstrakKesehatan paru memiliki peran penting dalam menjaga kualitas hidup masyarakat, terutama dalam mencegah penyakit kronis seperti PPOK, asma, bronkitis, dan pneumonia. Faktor risiko utama gangguan paru antara lain paparan asap rokok, polusi udara, dan rendahnya asupan antioksidan. Data Dinas Kesehatan Martapura Barat tahun 2022–2023 menunjukkan tingginya kasus pneumonia balita, PPOK, asma, dan TBC. Survei awal di RT.05 Desa Keliling Benteng Ulu (KBU) memperlihatkan prevalensi perokok dewasa sebesar 54,2%, dengan kebiasaan merokok di dalam rumah yang berpotensi membahayakan keluarga, khususnya balita dan lansia. Program Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan pengetahuan kader RT mengenai bahaya asap rokok, cara menjaga kesehatan paru, serta pemanfaatan tanaman herbal, khususnya daun Paraboea sp. sebagai teh celup kesehatan paru. Metode kegiatan meliputi sosialisasi, penyuluhan, pendampingan pembuatan teh herbal, monitoring, serta evaluasi berbasis pre-test dan post-test. Hasil uji Paired Sample t-test menunjukkan peningkatan signifikan pada seluruh materi: dampak asap rokok (p = 0,018), cara menjaga kesehatan paru (p = 0,000), dan minuman herbal untuk kesehatan paru (p = 0,008). Temuan ini membuktikan bahwa metode diskusi dan pelatihan praktis efektif meningkatkan pemahaman kader mengenai bahaya asap rokok dan manfaat herbal dalam menjaga kesehatan paru. Kata kunci: edukasi; pelatihan; teh celup; Paraboea sp., herbal; paru. Abstract Lung health is essential for maintaining quality of life and preventing chronic diseases such as COPD, asthma, bronchitis, and pneumonia. Data from the Martapura Barat Health Office (2022–2023) reported high cases of pneumonia, COPD, asthma, and tuberculosis, while a preliminary survey in RT.05, Keliling Benteng Ulu Village, revealed that 54.2% of adults were smokers, many smoking indoors and endangering children and the elderly. This Community Service Program (PKM) aimed to increase cadres’ knowledge about the dangers of cigarette smoke, ways to maintain lung health, and the use of Paraboea sp. leaves as herbal tea. Activities included education, discussion, practical training, and evaluation through pre- and post-tests. Paired Sample t-test results showed significant improvements in all topics: cigarette smoke hazards (p = 0.018), lung health maintenance (p = 0.000), and herbal drinks (p = 0.008), proving that discussion and practical methods effectively enhanced cadres’ understanding of smoking risks and the role of herbal remedies in promoting lung health. Keywords: education; training; herbal tea; Paraboea sp., herbs; lung.
Efek Toksik Pemberian Ekstrak Daun Mundar (Garcinia forbesii King) Pada Ginjal Rattus norvegicus Jantan Galur Wistar Rosida, Azma; Reyhana, Adinda Salma; Wydiamala, Erida; Joharman, Joharman; Rudiansyah, Mohammad; Fujiati, Fujiati
JPSCR: Journal of Pharmaceutical Science and Clinical Research Vol 10, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jpscr.v10i2.97631

Abstract

Tumbuhan mundar (Garcinia forbesii King) merupakan tanaman khas yang tumbuh di Indonesia dan Malaysia telah dimanfaatkan masyarakat secara empiris sebagai obat penyakit kulit, malaria, dan diabetes. Tujuan penelitian untuk mengetahui efek toksik pemberian ekstrak daun Mundar terhadap ginjal. Metode penelitian menggunakan uji toksisitas akut berdasarkan pedoman BPOM (Badan Pengawas Obat dan Makanan) nomor 10 tahun 2022. Hewan uji terdiri dari 25 Rattus norvegicus (tikus putih) jantan galur Wistar terbagi 4 kelompok perlakuan dosis 5, 50, 300, 2000 mg/KgBB dan 1 kelompok kontrol (akuades). Pengamatan dilakukan selama 14 hari. Hasil uji One-Way ANOVA menunjukkan perbedaan signifikan kadar ureum (p=0,003) dan kreatinin (p= 0,006), sedangkan indeks ginjal (p=0,60) tidak terdapat perbedaan bermakna antar kelompok. Ekstrak daun Mundar dosis 300 dan 2000 mg/KgBB meningkatkan rerata kadar ureum di atas normal, sedangkan rerata kadar kreatinin masih dalam rentang normal. Pemeriksaan histopatologi ginjal menunjukkan nekrosis tubulus proksimal dan atrofi glomerulus ginjal pada dosis 300 dan 2000 mg/KgBB. Kesimpulan ekstrak daun Mundar dosis 300 dan 2000 mg/KgBB meningkatkan kadar ureum, menyebabkan kerusakan tubulus dan glomerulus ginjal tikus putih (Rattus norvegicus) jantan galur Wistar. 
Co-Authors Andi Sanjaya Aranda, Viren Lolita Asnawati Asnawati Azma Rosida, Azma Bambang Setiawan Budu - Dahriani Hakim Tanjung Dewi Indah Noviana Pratiwi, Dewi Indah Noviana Dwi Setyohadi, Dwi Eko Suhartono Faisal, Muhammad Ali Halawa, Darma Haryati Haryati Humaira, Tiara Husna Husin, Gt Muhammad Irhamna Irawanto Istiana Istiana Joharman Joharman Joharman Joharman Lisda Hayatie, Lisda Mashuri Mashuri Masniah Masniah Meitria Syahadatina Noor Mohammad Bakhriansyah Mohammad Rudiansyah Multiansyah, Multiansyah Musafaah Musafaah Najiha, Aisya Nelly Al Audhah Nelly Al Audhah Noorsifa, Noorsifa Rahma, Rizkia Alifa Rahmah, Nasyawa Nur Shifa Reyhana, Adinda Salma Ridho, Anisa Rifka Rofiqoh Dewi Salim, Rinrin Meilani Salsabilla, Hanna Maria Sari, Annida Permata Sari, Muthia Noor Rahma Sembiring, Hilda Elsera Br Silapurna, Endah Labati Silapurna, Endah Labaty Sinaga, Mikha Dayan Siswahyudianto Siti Khairiah, Siti sri lestari rahayu Wiwi Verina, Wiwi Wydiamala, Erida