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Penggunaan bibit unggul “Bima” tanaman kangkung darat selama masa kemarau di Desa Lubuk Seberuk Hafidz, Ridho; Haryani; Nurani, Diva; I.E Habibi, Nur; Wahyudi, Apri; Delfi Riana, Siska; Raffi Ondri, Muhammad; Sepria Sofyan, Dea; Maka Suci, Tassya; Adelia, Karlita; Hakim, Aibi; Septari, Nanda; Ghiffari, Ahmad
Kemas Journal : Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2023): Kemas Journal - Juli - Desember
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/kemas.v1i2.13129

Abstract

Cekaman kekeringan merupakan salah satu faktor penghambat  pertumbuhan  kangkung  (Ipomoea Reptans Poir). Musim kemarau ini menyebabkan tanaman kangkung tumbuh kerdil akibat kualitas air yang kurang. Kegiatan pengabdian kepada masyarakat ini dilakukan dengan tujuan untuk agar benih unggul tanaman kangkung darat tetap berkualitas meski di musim kemarau. Hasil kegiatan diketahui tanaman dapat tumbuh dengan subur berdasarkan pengukuran daun dan batangnya, kendati penanaman di musim panas. Rangkaian pengabdian kepada komunitas petani ini merupakan salah satu program mendukung Gerakan SUMSEL Mandiri Pangan (GSMP). Diharapkan para petani dapat memanfaatkan bibit unggul untuk meningkatkan produksi tanaman kangkung sehingga tidak ketergantungan dengan sayuran dan makanan impor.
Implementation of Occupational Health and Safety Risk in Muhammadiyah Palembang Hospital During the COVID-19 Pandemic Ahmad Ghiffari; Syahrul Muhammad; Ardi Artanto; Febri Putri Lintang Sari
STRADA : Jurnal Ilmiah Kesehatan Vol. 10 No. 1 (2021): May
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/sjik.v10i1.642

Abstract

Hospitals are workplaces with multiple hazards that can cause health impacts for employees. On May 12, 2020, at the Muhammadiyah Palembang hospital (RSMP), 21 out of 29 medical personnel tested confirmed positive for COVID-19. It is essential to know how the implementation of K3RS in RSMP contains the pandemic. The cross-sectional descriptive observational with a total sampling method, with samples of the workers of RSMP. The questionnaire to 88 respondents was further univariate analyzed. The results with the category percentage of proper, sufficient, and poor on performing adequate PPE were 19,3%, 65,9%, and 14,8%; on washing hands 0,2%, 72,7%, and 17%; on social distancing 47,7%, 37,5%, and 14,8%, respectively. It is recommended to build sufficient infrastructure to enhance the K3RS program.
Sentiment and Emotion Classification Model Using Hybrid Textual and Numerical Features: A Case Study of Mental Health Counseling Ramayanti, Indri; Hermawan, Latius; Syakurah, Rizma Adlia; Stiawan, Deris; Meilinda, Meilinda; Negara, Edi Surya; Fahmi, Muhammad; Ghiffari, Ahmad; Rizqie, Muhammad Qurhanul
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.632

Abstract

Mental health issues among individuals, particularly in counseling contexts, require practical tools to understand and address emotional states. This study explores the application of machine learning models for emotion detection in mental health counseling conversations, focusing on four algorithms: Bernoulli Naive Bayes, Decision Tree, Logistic Regression, and Random Forest. The dataset, derived from transcribed counseling sessions, underwent preprocessing, including stemming, stopword removal, and TF-IDF vectorization to create structured inputs for classification. Emotional categories such as "Depresi" (Depression), "Kecewa" (Dissapointed), "Senang" (Happy), "Bingung" (Confused) and "Stres" (Stress) were analyzed to evaluate model performance. Results indicated that Logistic Regression achieved the highest accuracy at 82%, showcasing its reliability and scalability, followed closely by Random Forest with 81%, demonstrating robustness in handling complex data structures. Bernoulli Naive Bayes performed competitively at 80%, excelling in computational efficiency, while Decision Tree recorded the lowest accuracy at 70%, reflecting its limitations in managing overlapping features and high-dimensional data. These findings highlight the potential of machine learning in addressing the increasing demand for scalable mental health support tools. The study underscores the importance of model selection, balanced datasets, and feature engineering to improve classification accuracy. Future work includes developing AI-driven chatbots for real-time emotion detection and integrating multimodal data to enhance interpretability. This research contributes to advancing automated solutions for mental health care, offering new pathways for timely and personalized interventions.
Animal Models for Studying Post-Stroke Neuroplasticity Risdiansyah, Risdiansyah; Ghiffari, Ahmad; Oktariza, Rury Tiara; Rusdi, Fadhillah Putri
Jurnal Impresi Indonesia Vol. 4 No. 5 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i5.6647

Abstract

Ischemic stroke remains one of the leading causes of long-term disability worldwide, with recovery dependent on the brain's neuroplastic potential. This review aims to evaluate the role of animal models in elucidating the mechanisms of neuroplasticity following stroke and their relevance to clinical application. Using qualitative literature analysis, the study synthesizes findings from various animal models including rodents, non-human primates, zebrafish, and Drosophila. Rodent models, particularly the middle cerebral artery occlusion (MCAO), have been instrumental in identifying key processes such as BDNF-driven synaptic remodeling, VEGF-induced angiogenesis, and glial involvement in tissue repair. Additionally, systemic modulators like the gut-brain axis, immune responses, and extracellular vesicles are increasingly recognized for their influence on recovery. Despite these insights, most studies disproportionately utilize young, healthy male animals, limiting their relevance to diverse patient populations with comorbidities and aging factors. The findings suggest a need for integrative, multimodal research that incorporates molecular techniques, imaging, and behavioral assays, along with cross-species validation, to improve translational outcomes. This review underscores the necessity of leveraging a broader spectrum of animal models and advanced methodologies to develop effective, personalized therapies for post-stroke rehabilitation.
Survey of Aedes sp. Using Ovitrap to Prevent DHF in Beti Ogan Ilir Village Ramayanti, Indri; Ghiffari, Ahmad; Prameswarie, Thia; Silvana, Rista; Asmalia, Resy; Saputra, Yogi
Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v6i1.2211

Abstract

Purpose: This community service activity aims to provide education and introduce ovitrap to residents of Beti Village, Ogan Ilir Regency so that they can use inexpensive, simple, and safe mosquito traps as one of the efforts to control Dengue Hemorrhagic Fever (DHF). Method: This service consists of counseling knowledge, attitudes, and behaviors about DFH using a pre-test and post-test as measuring tools, as well as making ovitrap skills. Practical Applications: This activity was successful in raising public awareness about the benefits of ovitrap, how to make them, attractants, and how to install them. The results of the ovitrap survey show that Aedes sp. is frequently found in ovitrap installed outside the house. Conclusion: Education to the public has an impact on increasing community awareness and knowledge of DFH prevention. Ovitrap can be used as basic information for the community to improve the clean environment by decreasing mosquito breeding sites.
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
PEMBERDAYAAN MASYARAKAT DENGAN TEKNOLOGI PEMETAAN DIGITAL EPICOLLECT5® SEBAGAI STRATEGI PENGENDALIAN VEKTOR DEMAM BERDARAH DENGUE Ghiffari, Ahmad; Asmalia, Resy; Ihsan, Muhammad; Anwar, Chairil; Prameswarie, Thia; Ramayanti, Indri; Permana, Adhi; Utama, Budi; Artanto, Ardi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 12 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i12.4907-4912

Abstract

Kabupaten Ogan Ilir mencatat 117 kasus Demam Berdarah Dengue (DBD) pada tahun 2018, menyoroti kerentanan wilayah ini terhadap wabah DBD. Untuk mengatasi masalah ini, dilakukan kegiatan pengabdian kepada masyarakat di Kelurahan Payaraman Timur yang berfokus pada pemanfaatan teknologi digital untuk pemetaan lokasi sarang nyamuk menggunakan aplikasi Epicollect5. Project dapat diikuti dengan mengunduh melalui Google Play atau Playstore, dengan judul “Sarang Nyamuk Aedes aegypti”. Pelatihan terdiri dari ceramah dan penggunaan aplikasi, yang telah disiapkan pada laman https://five.epicollect.net/myprojects/sarang-nyamuk-aedes-aegypti#. Hasil kegiatan didapatkan dari 42 peserta yang hadir, tiga orang berhasil menyelesaikan seluruh tahapan pelatihan. Pentingnya infrastruktur internet yang kuat dan literasi digital yang memadai untuk mendukung keberhasilan implementasi teknologi ini. Sebagai kesimpulan bahwa kegiatan pengabdian ini berhasil mencapai tujuan dengan masyarakat menunjukkan antusiasme dalam memanfaatkan teknologi pemetaan digital Epicollect5.
Pendampingan dan Pelatihan Pemasaran Digital pada UMKM Roti Desa Rengas Sumatera Selatan: Digital Marketing Assistance and Training at the Bakery Micro Small Medium Enterprise, Rengas Village, South Sumatra Fatimah, Fatimah; Ghiffari, Ahmad; Herudiansyah, Gumar; Gusmiatun, Gusmiatun; Kasra, Helwan; Nawawi, Sulton
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 8 (2024): 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.v9i8.7172

Abstract

Marketing strategies are needed to increase sales of bakery products. Labeling and packaging capabilities, as well as the use of innovative marketing methods, are still lacking among MSME Partners. The team is trying to increase the potential of MSME products with digital marketing training and food variants. The activity method is in the form of assisting students and teams in the 61st Muhammadiyah University of Palembang Real Work Lecture (KKN) program in Rengas I Village. This program includes identifying needs, planning, implementing and using various innovation materials as well as the Instagram and Facebook platforms. This activity takes the form of assistance from February to April 2024. Various variations of flavors and bread toppings are produced, then pictures and videos have been posted on digital marketing on Instagram and Facebook. The conclusion shows that support for MSMEs has a positive impact on the production of various types of bread. It is necessary to find out more about other social media platforms, such as TikTok and Twitter, in order to understand more efficient digital marketing strategies related to consumer behavior and preferences.
Sinergi Sunatan Massal Berkah, Kuliah Kerja Nyata, dan Peletakan Batu Pertama Gedung Baru dalam Pengajian Akbar Muhammadiyah di Pondok Pesantren Darussalam Ogan Ilir: Masses Circumcision, Real Work Lectures, and New Building Ground Breaking at Ogan Ilir Darussalam Muhammadiyah Boarding School Ghiffari, Ahmad; Gusmiatun, Gusmiatun; Herudiansyah, Gumar; Yanti, Darma; Asysyauki, Akhmad Hamdi; Saputri, Wulandari; Chairani, Liza; Mayasari, Ni Made Elva; Tanzila, Raden Ayu; Prameswarie, Thia; Oktariza, Rury Tiara; Risdiansyah, Risdiansyah; Ardina, Puri Pratami
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 10 (2024): 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.v9i10.7865

Abstract

A fire broke out at the Darussalam Muhammadiyah Ogan Ilir Islamic Boarding School, destroying six surrounding schools. The mass circumcision event was coordinated with the Grand Religious Colloquium and the opening of an educational institution for impoverished students. Thirty-seven children who participated in community service took part in the blessing of mass circumcision. A significant number of officials and community guests of honor attended the event, which included the Deputy Regent of Ogan Ilir, a representative from the Yogyakarta Muhammadiyah Central Leadership, the Chairman of the South Sumatra Muhammadiyah Regional Leadership, the Chancellor of the Muhammadiyah University of Palembang, the PDM Chairman of Ogan Ilir, and representatives from TNI, Polri, the Payaraman sub-district head, and village heads. The session concluded with the attendees' tremendous enthusiasm for the event, for which they had earlier registered. Parallel circumcision initiatives could be undertaken alongside other activities. The Deputy Regent and Muhammadiyah Regional Leader of Ogan Ilir hopes that mass circumcision s will continue and be extended to other districts during the future KKN session. It is crucial to gather details concerning circumcision participants, assess the sufficiency of the number of operators, and establish the best time for the activity.
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.
Co-Authors Ababil, M. Avif Adelia Yulantasya Adelia, Karlita Afiat Berbudi Alpasyah, M. Mico Amira Azza Nabila Andelina, Rizky Anggina, Dientyah Nur Anggina, Dientyah Nur Anisa Suardin, Lucille Antoni Antoni Anwar, Chairil Apri Wahyudi Apriko Apriko Ardi Artanto Ardi Artanto Ardina, Puri Pratami Artanto, Ardi Asmalia, Resy Asysyauki, Akhmad Hamdi Atika Safitri Armo Azhara, Alya Badri, Putri Rizki Amalia Bagus Setiawan, Rifqi Budi Utama Budi Utama, Budi Chairani, Liza Chairil Anwar Chairil Anwar Chairil Anwar Chairil Anwar Chairil Anwar Chairil Anwar Charil Anwar Dalilah Dalilah Debby Andhika Putri Defi Mai Rani Delfi Riana, Siska Deris Stiawan Devi Eryanti Dewi Yuniasih Didik Agus Prawira Dientya Nur Anggina Dina Mulyana Dwi Handayani Dwi Handayani Dwitania, Tasya Julia Edi Surya Negara Eni Nuraini Faradila, Faradila Fatihah, Nabila Nurul fatimah Fatimah Fatinah Fairuz Qonitah Febri Putri Lintang Sari Fika Nurani Siti Aisyah Galuh Ismayanti Gita Dwi Prasasty Gumar Herudiansyah Gusmiatun Gusmiatun Haerawati Idris Hafidz, Ridho Hakim, Aibi Hamzah Hasyim Haryani Haryanto, Didid Helwan Kasra Helwan Kasra Heni Nurdita Herudiansyah, Gumar Hilda Zulkifli I.E Habibi, Nur Ikbar, Iffat Nabila Inda Astri Aryani Indah Purnama Sari Indriyani Indriyani Iskandar Z. A Ismail Ismail Ivanka, Agnes Jamhari Jamhari Jhon Riswanda Julia Liona Putria, Sinta Kasra, Helwan Keti Sonia Khoirotun Niswa Kurnia, Aisyah Fadhilah Kurniatullah, Ridho Lasbudi P Ambarita Latius Hermawan Liza Chairani Liza Chairani Lucille Anisa Suardin Lucille Annisa Suardin M. Abidinsyah M. Avif Ababil Maka Suci, Tassya Mayasari, Ni Made Elva Meilinda Meilinda Melisa Nopa Belia Meta Prameswari Miftahurrizqiyah Miftahurrizqiyah Miftahurrizqiyah Miranti Dwi Hartanti Mitayani Purwoko, Mitayani Mohammad Zulkarnain Muchsiri, Mukhtarudin Muhaimin Ramdja MUHAMMAD FAHMI Muhammad Ihsan Muhammad Qurhanul Rizqie Muhammad Satria Alfit Muhammad Wahyu Hidayat, Muhammad Wahyu Mukhtarudin, Kuntafie Al Haq Mynanda, Galuh Pratama Noviyanti Noviyanti, Noviyanti Nunuk Dyah Retno Lastuti Nur Alam Fajar Nurani, Diva Nurfauza, Aqila Meisya Putri Mulya Nurul Qamariah, Nurul Oktariza, Rury Tiara Otchi Putri Wijaya Pamudji, Raden Pamudji, Raden Permana, Adhi Prameswari, Meta Prameswari, Meta Prameswarie, Thia Prameswarie, Thia Prasasti, Gita Dwi Prayoga, Randi Putri Erlyn R. Irpan Pahlepi Raffi Ondri, Muhammad Ramayanti, Indri Ramzi Amin, Ramzi Ratika Febriani Resy Asmalia Reza Al Fath Reza Reza Rico Januar Sitorus Rico Januar Sitorus Rico Januar Sitorus Risdiansyah Risdiansyah Rizma Adlia Syakurah Rizma Adlia Syakurah Ronald Parich Riat Pratama Rosita, Yanti Rusdi, Fadhillah Putri Safitri, Rizka Nabila Salvari Gusti Ayu Dwi Putri Sandi, Louwen Saputra, Amja Sepria Sofyan, Dea Septari, Nanda Shalshabilla, Alysha Titania Silvana, Rista Silvana, Rista Silvia Rahmi Sinta Nabila Siska Fitriani Siti Nurjannah Soni Parengga Sri Wiyani Suarni, Ertati Sulton Nawawi Switha, Elfinchia Tiara Syahrul Muhammad Syahrul Muhammad Tanzila, Raden Ayu Tasya Aulia Dita Thia Prameswarie Thia Prameswarie Tia Fhadillah, Rafika Tia Sabrina Tusadiah, Halimah Widiya Yolanda Wieke Anggraini Wildan, Sahrul Wilma Hannie Daniel Wulandari Saputri, Wulandari Yanti, Darma Yogi Saputra, Yogi Yolanda Olivia Yuanita Windusari Yurni Fadhillah Zadi Oktariansyah Zalika, Putri