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All Journal HAYATI Journal of Biosciences Jurnal Lahan Suboptimal JSI: Jurnal Sistem Informasi (E-Journal) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 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 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) International Journal of Islamic and Complementary Medicine Ahmad Dahlan Medical Journal Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Termometer: Jurnal Ilmiah Ilmu Kesehatan Dan Kedokteran Journal Of Artificial Intelligence And Software Engineering Jurnal Kecerdasan Buatan dan Teknologi Informasi (Medical Scientific Journal) MESINA Ulil Albab Jurnal Pengabdian Masyarakat Indonesia Energy: Jurnal Ilmiah Ilmu-ilmu Teknik Biodiversitas Journal of Biological Diversity
Indri Ramayanti
Universitas Muhammadiyah Palembang
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Collaborative Malaria Surveillance Ending Outbreak In Merangin: Early Response By Academia And Muhammadiyah Community Ghiffari, Ahmad; Risdiansyah, Risdiansyah; Qamariah, Nurul; Faradila, Faradila; Shalshabilla, Alysha Titania; Mukhtarudin, Kuntafie Al Haq; Safitri, Rizka Nabila; Prameswarie, Thia; Ramayanti, Indri; Asmalia, Resy
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 8, No 8 (2025): Volume 8 No 8 (2025)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v8i8.21282

Abstract

ABSTRACT The Mass Blood Survey (MBS) conducted in August 2023 in Sungai Tebal Village, Jambi Province, in response to a malaria outbreak declared by the Regent of Merangin. The outbreak began with 52 confirmed malaria cases (50 Plasmodium vivax and 2 Plasmodium falciparum), indicating a substantial rise compared to previous years. The District Health Office, an academic institution, and community health partnered to carry out the MBS, which was launched six months after the index case. Prior to implementation, the team coordinated with local health authorities and community organization thus prepared for both rapid diagnostic testing (RDT) and public health education. A total of 33 individuals were tested, and all RDT results were negative, indicating no further local transmission. The findings underscored the importance of early detection, collaborative efforts, and sustained preventive strategies in malaria-endemic regions to avert future outbreaks. Keywords: Active Surveillance, Malaria Elimination, Outbreak Response, Rural Health, Integrated Control
Chemical Factors in Clothes Wastewater Affect the Development of Aedes aegypti Mosquitoes Ramayanti, Indri; Prameswarie, Thia; Ghiffari, Ahmad; Alpasyah, M. Mico
Majalah Kesehatan Indonesia Vol. 6 No. 1: 2025
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/makein.2025223

Abstract

Dengue hemorrhagic fever is caused in part by Aedes aegypti. Ae. aegypti's primary breeding habitat is a non-groundwater reservoir. Chemical variables including pH, salinity, Dissolved Oxygen (DO), and Total Dissolved Solids (TDS) all have an impact on the growth of Ae. aegypti larvae. The purpose of this study is to examine the effect of water chemistry parameters on egg hatchability as well as the number of Ae. aegypti larvae and pupae in clothes washing wastewater. The experimental design in this study was a Completely Randomized Design (CRD) with three treatment media (washing clothes wastewater from dengue patients' houses, water municipal waterworks, and abate) three repetitions. The parameters measured are egg hatchability, number of larvae, number of pupae, dissolved oxygen (DO), pH, salinity, and total dissolved solids. The data were analyzed using one-way ANOVA and the Honestly Significant Difference (BNJ) test at a 5% confidence level. The results showed that wastewater from washing clothing had a 26.00% affect on the hatchability of Ae. aegypti, 22.67% of the larvae, and 10.67% of the pupae. The chemical content in clothes washing wastewater for DO is 7.60 mg/L, TDS is 136.00 ppm, pH is 7.80, and salinity is 0.10%.  The chemical content of DO and TDS in clothes washing wastewater differs greatly from water municipal waterworks and abate water, while pH and salinity do not differ significantly. This study concludes that wastewater from washing clothes has the potential to serve as a breeding ground for the Ae. aegypti mosquito, which transmits the dengue virus.
Peningkatan Pengetahuan Masyarakat dalam Pencegahan Penyakit DBD di Desa Beti Indralaya Selatan Ogan Ilir Ramayanti, Indri; Erlyn, Putri; Noviyanti, Noviyanti; Silvana, Rista; Prayogi, Fandika Dhimas
Indonesia Berdaya Vol 3, No 4: August-October 2022
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.2022336

Abstract

Dengue Hemorrhagic Fever (DHF) morbidity and mortality continue to occur in Indonesia year after year, so activities to eradicate mosquito nests must be carried out with the participation of all levels of society. One of the programs that can be implemented in health education is to provide understanding, knowledge, and public awareness. This activity aims to increase public awareness and attitudes toward dengue fever prevention. The lecture method, audio-visual media, teaching aids, and discussion are used in the implementation. Women members of the Family Welfare Programme in Beti Village, South Inderalaya District, Ogan Ilir Regency were given community service. There were as many as 38 people who responded. Activities are evaluated using a questionnaire distributed at the start and end of the activity. The activity's outcomes demonstrated an increase in knowledge about DHF prevention. Conclusion: Counseling the community about dengue fever has a positive impact on raising public awareness and knowledge about DHF prevention. 
PENDAMPINGAN MASYARAKAT SEBAGAI UPAYA PENCEGAHAN DBD MELALUI PELATIHAN PEMBUATAN LARVITRAP DAN ATRAKTAN AIR AKUARIUM DI KECAMATAN SUKARAMI KOTA PALEMBANG Ramayanti, Indri; Prameswarie, Thia; Helmizuryani, Helmizuryani; Silvana, Rista; Rio, Muhammad
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 4 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i4.1707-1712

Abstract

Demam Berdarah Dengue atau DBD adalah salah satu penyakit endemis di Indonesia disebabkan oleh virus dengue (DENV) yang ditularkan melalui nyamuk Aedes aegypti. Upaya pencegahan DBD memerlukan peran aktif masyarakat dalam pengendalian vektor, terutama melalui metode inovatif seperti penggunaan larvitrap dan atraktan alami. Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan meningkatkan pengetauan atau pemahaman dan keterampilan masyarakat di Kecamatan Sukarami, Kota Palembang, sebagai upaya pencegahan DBD melalui pelatihan pembuatan larvitrap dan pemanfaatan atraktan air akuarium sebagai media penangkapan larva nyamuk. Metode yang digunakan meliputi penyuluhan kesehatan, demonstrasi, dan praktik langsung pembuatan larvitrap berbasis bahan sederhana serta penggunaan atraktan alami untuk menarik nyamuk bertelur. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan peserta dalam penerapan teknologi sederhana ini sebagai strategi pengendalian nyamuk berbasis lingkungan. Dengan adanya pelatihan ini, diharapkan masyarakat berperan lebih aktif untuk pencegahan DBD, menciptakan lingkungan yang lebih sehat dan bebas dari nyamuk Aedes aegypti yang menjadi vektor penyakit ini.
UPAYA PENINGKATAN PENGETAHUAN DAN MOTIVASI PEMAKAIAN OVITRAP UNTUK PENCEGAHAN PENYAKIT DBD Ramayanti, Indri; Zalmi, Ghina; Saputra, Yogi; Dhimas, Fandika; Hasanah, Khalifah; Asmalia, Resy; Prameswarie, Thia
Jurnal Vokasi Vol 6, No 3 (2022): November
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/vokasi.v6i3.2578

Abstract

Demam Berdarah Dengue (DBD) merupakan infeksi akibat virus dengue yang ditularkan oleh nyamuk Aedes spp. Kasus DBD di Sumatera Selatan menunjukan peningkatan yang signifikan dari tahun ke tahun. Faktor penyebab yaitu rendahnya pengetahuan masyarakat mengenai pencegahan dan pemberatasan penyakit DBD. Tujuan kegiatan ini untuk melakukan penyuluhan kesehatan sebagai upaya pencegahan DBD dan mengurangi kepadatan nyamuk dengan pelatihan pembuatan ovitrap sederhana. Metode yang digunakan berupa penyuluhan tentang bionomik vektor, etiologi penyakit dan teknik pengendalian vektor dengan memperkenalkan metode ovitrap air gula dan ragi roti. Kegiatan penyuluhan dan pelatihan berjalan  dengan  baik  dan  lancar.  Seluruh  peserta  yang hadir   menunjukkan    adanya    respon positif dan peningkatan    pemahaman    tentang    penyebaran  dan pemberantasan  penyakit  DBD,  di  mana  pada pelaksanaan penyuluhan mencerminkan keinginan untuk memahami cara pengendalian DBD dan  mampu  menjelaskan kembali  tentang  materi  yang  telah  disampaikan. Pendampingan pembuatan alat ovitrap juga memberikan manfaat  yaitu dapat meminimalisir dan mengurangi populasi nyamuk di sekitar rumah warga. 
The REPELATION POTENCY OF N-HEXANE EXTRACT OF BASIL LEAF AND STEM (OCIMUM BASILICUM L.) AGAINST CULEX QUINQUEFASCIATUS Ramayanti, Indri Ramayanti; Dwi Hartanti, Miranti; Aulia Rahman, Reynaldi
International Journal of Islamic and Complementary Medicine Vol. 2 No. 2 (2021): International Journal Islamic Medicine
Publisher : International Islamic Medicine Forum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.468 KB) | DOI: 10.55116/IJIM.V1I1.24

Abstract

The Culex quinquefasciatus mosquito is the main vector of filariasis and a popular effort to control it in society is by using chemical materials, but they cause toxic effects in humans, so it is necessary to use a repelant from natural ingredients, one of which is basil containing essential oils and proven to be effective as a repelant against mosquito. The objective of this research was to determine repelant power of n-hexane extract of basil leaves and stems against the Culex quinquefasciatus. This study was a laboratory experimental study using a completely randomized design, with 3 replications at 7 time intervals. The extract concentrations were 15%, 25%, 35 % and ethanol negative control 96%, the positive control repelant X containing 13% DEET. The results showed that the n-hexane extract of basil leaves and stems for 6 hours at a concentration of 15% was able to resist 75% of mosquito, a concentration of 25% was able to resist as much as 85.05%, and a concentration of 35% was able to resist as much as 92.51%, the one-way ANOVA analysis showed that the value of p = 0.000 (p<0,05), meaning that there was a difference in the number of Culex quinquefasciatus perching on the black cloth at various concentrations of n-hexane extracts of leaves and stems of basil, while the probit analysis showed that the effective extract concentration at 90% was 31.52%. The extract of n-hexane leaves and basil stems was effective as a repelant against the Culex quinquefasciatus.
Hubungan Lokasi Ovitrap Atraktan Fermentasi Air Cucian Beras terhadap Keberadaan Telur Aedes Rio, Muhammad; Ramayanti, Indri; Rohani, Siti; Prameswarie, Thia; Saraswati, Nia Ayu
MESINA (Medical Scientific Journal) Vol 6, No 1 (2025): Medical Scientific Journal (MESINA)
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/msj.v6i1.9334

Abstract

Aedes merupakan vektor utama penyebab Demam Berdarah Dengue (DBD) yang masih menjadi masalah kesehatan di Indonesia, salah satu upaya pengendaliannya dapat dilakukan dengan menggunakan ovitrap dengan penambahan atraktan yaitu fermentasi air cucian beras yang terbukti menghasilkan senyawa ammonia, karbon dioksida dan asam sitrat. Penelitian ini bertujuan untuk mengetahui hubungan penempatan ovitrap dengan keberadaan telur nyamuk Aedes. Desain penelitian ini dengan quasy experiment posttest only. Pengambilan sampel dilakukan dengan teknik purposive sampling, yang didaparkan 6 rumah warga di RT 46, Kelurahan Sukajaya, Kecamatan Sukarami yang merupakan wilayah endemis DBD di Kota Palembang dengan kriteria inklusi yaitu rumah dengan halaman yang cukup luas serta banyak perpohonan. Ovitrap dengan atraktan fermentasi air cucian beras pada penelitian ini diletakkan di luar dan di dalam rumah warga konsentrasi 10%, 30% dan 60% dengan tiga kali ulangan. Analisis data yang digunakan dengan dan Chi-square. Hasil penelitian didapatkan tidak terdapat hubungan antara letak ovitrap dengan keberadaan telur nyamuk Aedes. 
Comparison of Adaptive Boosting and Categorical Boosting in Heart Attack Diagnosis Amran, Ali; Suryani, Suryani; Fathinah, Nadiva Azro; Desiani, Anita; Ramayanti, Indri
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.9051

Abstract

Heart disease is one of the leading causes of death worldwide, and therefore, accurate early detection methods are needed to help reduce mortality rates. One approach that can be applied is machine learning using classification techniques based on ensemble boosting algorithms. This study aims to compare the performance of two ensemble algorithms, namely Adaptive Boosting (AdaBoost) and Categorical Boosting (CatBoost), in classifying heart attack disease. The labels used in this study are positive and negative. The evaluation process was conducted using two testing techniques: percentage split with a ratio of 80% training data and 20% testing data, and 10-fold cross-validation. Model performance was evaluated based on accuracy, precision, and recall to comprehensively measure classification capability. The results show that in the percentage split method, CatBoost achieved the highest accuracy of 98.88%, while in k-fold cross-validation it reached 98.43%. Nevertheless, AdaBoost also demonstrated good performance, with all evaluation metrics exceeding 90%. Therefore, the best-performing model in this study is CatBoost with the k-fold cross-validation technique on the heart attack dataset.
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.
Co-Authors Abdussalam, Muhammad Umar Adhi Permana Affandi, Azhar Kholiq AHMAD MUSLIM AHMAD MUSLIM Ahmad Ghiffari Ahmad Muslim Akbar, Alexander Alfath, Mochammad Nanda Ardani Ali Amran Alifah Dimar Ramadhina Alpasyah, M. Mico Ambarwati Ambarwati Anggina, Dientyah Nur Anggraini, Wieke Anisatul Aflah Anita Desiani Anita Desiani Annisa Nurul Jannah Ardi Artanto Arhami, Muhammad Asmalia, Resy Asmarani Makmun Athallah, Muhamad Alaf Atika Safitri Armo Aulia Rahman, Reynaldi Azzahra, Nur Devita Bachtari Alam Hidayat Bambang Suprihatin Budi Utama Budi Utama, Budi CHAIRIL ANWAR Chairil Anwar Chairil Anwar CHANDRA IRSAN Dedy Hermanto Deris Stiawan Des Alwine Zayanti, Des Alwine Dewi Yuniasih Dhimas, Fandika Dientya Nur Anggina Edi Saputra Edi Saputra Edi Surya Negara Fakhira Anisha Faradila Fathinah, Nadiva Azro Fatinah Fairuz Qonitah Faturohim, Agus Geovani, Dite Ghina Zalmih Ghufron, Jundi Zahid Giovillando HAMZAH HASYIM HAMZAH HASYIM Hamzah Hasyim Hasanah, Khalifah Helmizuryani Helmizuryani Hermawan, Arfan Husna, Aisyah Mardiatul Indriyani Indriyani Irmeilyana Ismail Ismail Karnadi KHM Arsyad, KHM Kuntafie Tarik Al Haq Mukhtarudin Kurniawan Laila Rahmawati Latius Hermawan Layal, Kamalia Lindri, Sheilla Yonaka Liza Chairani Lucille Anisa Suardin Malika Zilda Manalu, Alman Pratama MARIESKA VERAWATY Mayasari, Ni Made Elva Meilinda Meilinda Meilinda, Meilinda Miranti Dwi Hartanti Mitayani Purwoko Mochammad Nanda Ardani Alfath Muchtar, Ali Muhammad Arhami Muhammad Arhami Muhammad Fahmi Muhammad Ihsan Muhammad Qurhanul Rizqie Muhammad Ramadhan Hoiri Muhammad Saleh Ramadhan Muhammad Umar Abdussalam Mukhtarudin, Kuntafie Al Haq Mustaqima, Dina Mutiara Malihah Putri Narti Narti Narti Narti, Narti Negara, Edi Surya Nia Saraswati Noverina, Dea Putri Novi Rustiana Dewi Nur Devita Azzahra NURHAYATI DAMIRI Nurul Qamariah, Nurul Oktariza, Rury Tiara Pasma Azzahra Permana, Adhi Pingkan Ayu Putri Arta Prayogi, Fandika Dhimas Puspa Sari Putri Aprilia Kusuma Widyanti Putri Aprilia Kusuma Widyanti Putri Erlyn Putri Rizki Amalia Badri Putri Utami Pratiwi Rahma Syifa Aulia Ramadhan, Faishal Fitra Ratih Pratiwi Ratika Febriani Ratika Febriyani Ravisha Keyna Anduwi Rayani, Ira Resy Asmalia Reynaldi Aulia Rahman Reza Al Fath Reza Reza Rio Halim, Muhammat Rio, Muhammad Risdiansyah Risdiansyah Rizki Maulana Rizki Septian Rizma Adlia Syakurah Rizqie, Muhammad Qurhanul Rosita, Yanti Safitri, Rizka Nabila Saraswati, Nia Ayu Sasongko, Muhammad Aditya Septiani Nadra Indawaty Shalshabilla, Alysha Titania Sigit Priyanta Silvana, Rista Siska Fitriani SITI HERLINDA SITI HERLINDA SITI HERLINDA Siti Husnul Hotimah, Siti Husnul Siti Rohani Sri Indra Maiyanti Sri Indra Maiyanti Suarni, Ertati Suryani Suryani SUWANDI SUWANDI Syakurah, Rizma Adlia Tasya Aulia Dita Thia Prameswarie Wieke Anggraini Yadi Utama Yogi Saputra, Yogi Zalika, Putri Zalmi, Ghina Zilda, Malika