Article Per Year (5 Year)
p-Index From 2021 - 2026
6.875
P-Index
This Author published in this journals
All Journal HAYATI Journal of Biosciences Jurnal Lahan Suboptimal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Simantec Journal of Agromedicine and Medical Sciences InComTech: Jurnal Telekomunikasi dan Komputer Buletin Farmatera JITK (Jurnal Ilmu Pengetahuan dan Komputer) Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Kreativitas PKM Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan Bioscientia Medicina : Journal of Biomedicine and Translational Research Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal 'Aisyiyah Medika Jurnal Vokasi Madaniya PLAKAT : Jurnal Pelayanan Kepada Masyarakat Indonesia Berdaya Jurnal Pengabdian Masyarakat Asia Majalah Kesehatan Indonesia Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat: Humanity and Medicine Bioscientia Medicina : Journal of Biomedicine and Translational Research Britain International of Exact Sciences Journal (BIoEx Journal) Jurnal Abmas Negeri (JAGRI) Jurnal Ilmiah Kesehatan (JIKA) Ahmad Dahlan Medical Journal Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Journal Of Artificial Intelligence And Software Engineering Jurnal Kecerdasan Buatan dan Teknologi Informasi (Medical Scientific Journal) MESINA Ulil Albab Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Ramayanti, Indri
Department Of Parasitology And Microbiology, Faculty Of Medicine, Universitas Muhammadiyah Palembang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 56 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 56 Documents
Search

 2   3   4   5   6 
DIAGNOSA PENYAKIT PARKINSON DENGAN ALGORITMA K-NEAREST NEIGHTBOR DAN DECISION TREE C4.5 Desiani, Anita; Narti, Narti; Ramayanti, Indri; Arhami, Muhammad; Irmeilyana, Irmeilyana
Jurnal Simantec Vol 12, No 1 (2023): Jurnal Simantec Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i1.21167

Abstract

Parkinson kamislot adalah suatu penyakit dimana neurologis mempengaruhi neuron dopaminergik, yang dibuktikan dengan kematian sel-sel otak yang ada, hilangnya pigmentasi substantia nigra, adanya inklusi sitoplasma, dan penurunan kadar dopamin di substantia nigra pars compacta dan corpus striatum. Penyakit parkinson dapat didiagnosa dengan melakukan pengklasifikasian untuk mengukur tingkat akurasi. Tujuan dari penelitian ini adalah untuk melakukan diagnosa penyakit Parkinson dengan dua algoritma yang berbeda, yaitu algoritma K-Nearest Neighbor (KNN) dan algoritma C4.5 dengan metode pelatihan Percentage split dan validasi K-fold cross yang nantinya kan dibandingkan satu sama lain. Dari penelitian ini, nilai presisi yang dimiliki penderita Parkinson's disease algoritma C4.5 split persentasenya adalah 96%. Begitu juga untuk nilai recall yang dimiliki oleh penderita penyakit Parkinson yaitu sebesar 93%. Nilai akurasi algoritma K-Nearest Neighbor (KNN) adalah 82% untuk metode pelatihan pada percentage split dan 76,8% dengan metode validasi K-fold cross dan 89% untuk algoritma C4.5 dengan metode pelatihan pada Percentage split dan 81% dengan metode validasi K-fold cross.Kata kunci: C4.5, K- Fold Cross Validation, K-Nearest Neighbor, Parkinson, Percentage Split
Comparison of K-Nearest Neighbor Algorithm and Logistic Regressionin the Classification of Cervical Cancer Disease Azzahra, Nur Devita; Ambarwati; Desiani, Anita; Maiyanti, Sri Indra; Ramayanti, Indri
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p1-8

Abstract

in the face of the globalization era that is increasingly competitive, a company is required to be able to devise competitive in order to survive and win the competition. Because it needed a solution to improve the quality of the product so that it can assist in winning the competition  with its competitors. PT. Indonesia Timber Kutai (ITC) as a company engaged in lumber and plywood production was should be ableto survive in an increasingly tight competition.Plywood is formed by layers of sheets –sheets of wood called veneer. The quality of the veneers will  effect  the  quality  of  plywood  produced  by  PT  Indonesia  Timber  Kutai.  To  get  a  good  veneer  quality  then needed a good combination between the blade with the machine. Researchers do research on the condition of the blade. A place for pengashan blade is subsi GrindeThe cause of the majority of the knife is a blunt knife quickly, so the quality of the producedveneer  would be ugly. Researchers try to find problems –problems  encountered and  immediately  make  the  effort improved  sharpening  results  with  seven  quality  control.  For  the  results  of  his research  is  before  there  is  an  improvement  obtained  22  case  knife quickly  dulled  from  72  blade,  after  no improvement, found only 1 case of only fast knife dulled from 72 blades
DIABETIC RETINOPATHY SEVERITY CLASSIFICATION USING GAMMA CORRECTION-BASED IMAGE ENHANCEMENT AND BN-VGG ARCHITECTURE Indri Ramayanti; Karnadi; Septiani Nadra Indawaty; Muhammad Umar Abdussalam; Malika Zilda; Anita Desiani
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.8094

Abstract

Diabetic retinopathy (DR) is a diabetes-related condition that can cause vision impairment or vision loss. Accurately identifying the level of DR from retinal fundus images is crucial for early detection. However, poor image quality often degrades classification performance. This study proposes an approach that integrates gamma correction-based image enhancement with a Batch Normalization–Visual Geometry Group (BN-VGG) architecture for multiclass DR severity classification. Gamma correction is applied to improve image contrast, while BN-VGG enhances training stability and feature representation. The proposed method categorizes DR into five classifications: normal, mild, moderate, severe, and proliferative. The enhanced images achieved PSNR of 30.85 and SSIM above 0.86, indicating improved visual quality. The model achieved accuracy at 0.97, sensitivity at 0.92, specificity at 0.98, F1-score at 0.92, Cohen's Kappa at 0.90, and G-Mean at 0.97. The innovative aspect of this study is the incorporation of gamma correction with BN-VGG architecture, demonstrating that image enhancement can significantly improve multiclass DR classification performance without increasing model complexity. The study's results indicate the proposed method's effectiveness for accurate & reliable DR severity classification
Implementasi Algoritma CART dan Naïve Bayes Untuk Mendeteksi Penyakit Stroke Anita Desiani; Puspa Sari; Indri Ramayanti; Muhammad Arhami
InComTech : Jurnal Telekomunikasi dan Komputer Vol. 16 No. 1 (2026)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v16i1.20209

Abstract

Penyakit stroke merupakan penyakit pembuluh darah yang disebabkan oleh kurangnya sirkulasi oksigen dan darah ke otak sehingga menyebabkan kerusakan pada jaringan otak. Stroke dapat menyebarkan perubahan pada fungsi dan fisiologi anatomi yang letaknya jauh dari kerusakan. Penyakit stroke merupakan penyakit penyebab utama kematian setelah penyakit jantung sehingga diperlukan suatu system untuk mendeteksi penyakit stroke sebagai bentuk pencegahan dini agar tidak terserang penyakit stroke. Sistem deteksi menggunakan kecerdasan buatan dengan teknik klasifikasi. Klasifikasi telah digunakan oleh para peneliti untuk mendeteksi penyakit dengan hasil yang memuaskan. Pada penelitian ini menggunakan teknik klasifikasi menggunakan algoritma CART (Clasiification and Regression Tree) dan algoritma Naïve Bayes. Penelitian ini membagi data menggunakan persentase split sebesar 90% data latih dan sisanya berupa data uji dengan dataset dari Kaggle. Berdasarkan penggunaan kedua algoritma dalam mendeteksi penyakit stroke, algoritma CART menghasilkan akurasi sebesar 95.57% sedangkan naïve bayes memiliki akurasi sebesar 85%. Pada sisi presisi model rata-rata yang dihasilkan oleh algoritma CART yaitu 88% sedangkan naïve bayes memiliki presisi 66%. Recall rata-rata yang dihasilkan oleh algoritma CART yaitu 61% sedangkan naïve bayes memiliki recall sebesar 58%. Dari perbandingan antara akurasi, presisi, dan recall yang dihasilkan algoritma CART dan Naïve bayes dapat disimpulkan jika algoritma CART sangat baik dalam mendeteksi penyakit stroke secara dini.
Stage V Chronic Kidney Disease on Hemodialysis and Hypertensive Emergency: A Case Report and Literature Review Edi Saputra; Rista Silvana; Indri Ramayanti; Mutiara Malihah Putri; Muhammad Saleh Ramadhan; Anisatul Aflah
MESINA (Medical Scientific Journal) Vol 6, No 2 (2026): Medical Scientific Journal (MESINA)
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/msj.v6i2.10957

Abstract

ABSTRACT Hypertension and chronic kidney disease have a bidirectional relationship in which uncontrolled hypertension accelerates kidney damage, whereas declining kidney function worsens hypertension through fluid retention, activation of the renin–angiotensin–aldosterone system, increased sympathetic activity, and endothelial dysfunction. In advanced stages, this interaction may progress to hypertensive emergency with acute target organ damage. This case report describes a 40-year-old woman with stage V chronic kidney disease on hemodialysis who presented with dyspnea, severe headache, nausea, and decreased appetite. Her blood pressure on admission was 193/103 mmHg, accompanied by bilateral fine crackles and signs of anemia. Laboratory examination revealed hemoglobin 6.9 g/dL, urea 80 mg/dL, creatinine 6.2 mg/dL, and an estimated glomerular filtration rate of 9.85 mL/min/1.73 m². Chest radiography showed cardiomegaly and early pulmonary congestion, while electrocardiography showed no acute abnormality. The patient was diagnosed with hypertensive emergency in stage V chronic kidney disease on hemodialysis, accompanied by fluid overload and severe anemia. Management consisted of titrated intravenous nicardipine, correction of volume overload with hemodialysis, and packed red cell transfusion for symptomatic severe anemia. After stabilization, oral antihypertensive agents consisting of amlodipine, candesartan, and clonidine were administered. This case highlights the importance of distinguishing hypertensive emergency from severe hypertension in advanced chronic kidney disease, because this classification determines the need for intravenous therapy, close monitoring, and comprehensive management of associated complications.Keywords: anemia, chronic kidney disease, hemodialysis, hypertensive emergency
Empowering Mothers Through Booklet-Based Health Education to Prevent Helminth Diseases in Children Aged 5–14 Years Indri Ramayanti; Thia Prameswarie; Nia Saraswati; Putri Erlyn; Muhammad Ramadhan Hoiri; Rista Silvana
Plakat : Jurnal Pelayanan Kepada Masyarakat Vol 8, No 1 (2026): Plakat: Jurnal Pelayanan Kepada Masyarakat
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/plakat.v8i1.26029

Abstract

Worm infections due to Soil Transmitted Helminths (STH) remain a significant public health problem, especially in children aged 5–14 years in areas with limited sanitation, risky environmental conditions, and low levels of family health literacy. Mothers have an important role as the main caregiver in shaping hygiene behavior and disease prevention in children, so that maternal empowerment through health education is an important preventive strategy. This activity aims to analyze the effectiveness of booklet-based health education in improving maternal knowledge, attitudes, and behaviors related to the prevention of worms in children. Community service activities were carried out in the assisted areas of the University of Muhammadiyah Palembang using a pre-experimental design of one group pretest involving 95 mothers. Interventions are carried out through health counseling using booklet media, presentations, and interactive discussions. Data were collected using pre- and post-intervention questionnaires, then analyzed using the Wilcoxon test. The results showed a significant increase in knowledge (mean 65.83 to 99.42), attitude (63.95 to 99.50), and behavior (65.37 to 100.00) with a p value of < 0.001. All participants experienced changes to the good category after the intervention. These findings show that booklet-based education is effective in improving maternal health literacy and preventive behavior. This education has important implications as a sustainable promotive and preventive strategy to strengthen family-based deworming prevention and improve the health of children in the community.Infeksi cacing akibat Soil Transmited Helminths (STH) masih menjadi masalah kesehatan masyarakat yang signifikan, terutama pada anak usia 5–14 tahun di daerah dengan sanitasi terbatas, kondisi lingkungan berisiko, dan rendahnya tingkat literasi kesehatan keluarga. Ibu mempunyai peran penting sebagai caregiver utama dalam membentuk perilaku higienitas dan pencegahan penyakit pada anak, sehingga pemberdayaan ibu melalui pendidikan kesehatan menjadi salah satu strategi preventif yang penting. Kegiatan ini bertujuan untuk menganalisis efektivitas pendidikan kesehatan berbasis booklet dalam meningkatkan pengetahuan, sikap, dan perilaku ibu terkait pencegahan cacingan pada anak. Kegiatan pengabdian kepada masyarakat dilaksanakan di wilayah binaan Universitas Muhammadiyah Palembang dengan menggunakan desain pre-experimental one group pretest yang melibatkan 95 orang ibu. Intervensi dilakukan melalui penyuluhan kesehatan dengan menggunakan media booklet, presentasi, dan diskusi interaktif. Data dikumpulkan dengan menggunakan kuesioner sebelum dan sesudah intervensi, kemudian dianalisis menggunakan uji Wilcoxon. Hasil penelitian menunjukkan adanya peningkatan yang signifikan pada pengetahuan (mean 65,83 menjadi 99,42), sikap (63,95 menjadi 99,50), dan perilaku (65,37 menjadi 100,00) dengan nilai p < 0,001. Seluruh partisipan mengalami perubahan ke kategori baik setelah dilakukan intervensi. Temuan ini menunjukkan bahwa pendidikan berbasis buklet efektif dalam meningkatkan literasi kesehatan ibu dan perilaku preventif. Edukasi ini mempunyai implikasi penting sebagai strategi promotif dan preventif yang berkelanjutan untuk memperkuat pencegahan cacingan berbasis keluarga dan meningkatkan kesehatan anak di masyarakat.
Co-Authors Abdussalam, Muhammad Umar Affandi, Azhar Kholiq Ahmad Ghiffari Ahmad Muslim Akbar, Alexander Alfath, Mochammad Nanda Ardani Ali Amran Alifah Dimar Ramadhina Alpasyah, M. Mico Ambarwati Ambarwati Anggina, Dientyah Nur Anggina, Dientyah Nur Anggraini, Wieke Anisatul Aflah Anita Desiani Annisa Nurul Jannah Arhami, Muhammad Artanto, Ardi Asmalia, Resy Asmarani Makmun Athallah, Muhamad Alaf Atika Safitri Armo Azzahra, Nur Devita Badri, Putri Rizki Amalia Bambang Suprihatin Budi Utama Budi Utama, Budi Chairani, Liza Chairil Anwar Deris Stiawan Des Alwine Zayanti, Des Alwine Dewi Yuniasih Dhimas, Fandika Dientya Nur Anggina Edi Saputra Edi Surya Negara Faradila, Faradila Fathinah, Nadiva Azro Fatinah Fairuz Qonitah Faturohim, Agus Geovani, Dite Ghina Zalmih Ghufron, Jundi Zahid Giovillando Hamzah Hasyim Hasanah, Khalifah Helmizuryani Helmizuryani, Helmizuryani Hermawan, Arfan Hidayat, Bachtari Alam Husna, Aisyah Mardiatul Indriyani Indriyani Irmeilyana Ismail Ismail Karnadi, Karnadi KHM Arsyad, KHM Kuntafie Tarik Al Haq Mukhtarudin kurniawan Laila Rahmawati Latius Hermawan Layal, Kamalia Lindri, Sheilla Yonaka Lucille Anisa Suardin Malika Zilda Manalu, Alman Pratama Mayasari, Ni Made Elva Meilinda Meilinda Miranti Dwi Hartanti Mitayani Purwoko, Mitayani Mochammad Nanda Ardani Alfath Muchtar, Ali Muhammad Arhami MUHAMMAD FAHMI Muhammad Qurhanul Rizqie Muhammad Ramadhan Hoiri Muhammad Saleh Ramadhan Muhammad Umar Abdussalam Mukhtarudin, Kuntafie Al Haq Mustaqima, Dina Mutiara Malihah Putri Narti Narti, Narti Nia Saraswati Noverina, Dea Putri Noviyanti Noviyanti, Noviyanti Nurul Qamariah, Nurul Oktariza, Rury Tiara Permana, Adhi Prameswarie, Thia Prayogi, Fandika Dhimas Puspa Sari Putri Erlyn Putri Utami Pratiwi Rahma Syifa Aulia Ramadhan, Faishal Fitra Ratih Pratiwi Ratih Pratiwi Ratika Febriani Ratika Febriani Ratika Febriyani Rayani, Ira Reynaldi Aulia Rahman Reza Al Fath Reza Reza Rio Halim, Muhammat Rio, Muhammad Risdiansyah Risdiansyah Rizma Adlia Syakurah Rosita, Yanti Safitri, Rizka Nabila Saraswati, Nia Ayu Sasongko, Muhammad Aditya Septiani Nadra Indawaty Shalshabilla, Alysha Titania Sigit Priyanta Silvana, Rista Silvana, Rista Siska Fitriani SITI HERLINDA Siti Husnul Hotimah, Siti Husnul Siti Rohani Sri Indra Maiyanti Suarni, Ertati Suryani Suryani Tasya Aulia Dita Thia Prameswarie Thia Prameswarie Thia Prameswarie Widyanti, Putri Aprilia Kusuma Wieke Anggraini Yadi Utama Yogi Saputra, Yogi Zalika, Putri Zalmi, Ghina Zilda, Malika