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All Journal International Journal of Public Health Science (IJPHS) Pharmacon Jurnal Kebidanan Dan Kesehatan Tradisional Journal Of Nursing Practice Journal of Pharmacopolium Chemistry Indonesian Journal of Chemical Research JSFK (Jurnal Sains Farmasi & Klinis) JPSCR : Journal of Pharmaceutical Science and Clinical Research Viva Medika: Jurnal Kesehatan, Kebidanan dan Keperawatan Pharmacoscript Jurnal Ilmiah Farmako Bahari Borneo Journal Of Pharmascientech Journal of Pharmaceutical and Health Research Jurnal Kesehatan: Jurnal Ilmu- Ilmu Keperawatan, Kebidanan, Farmasi dan Analis Kesehatan Pelita Abdi Masyarakat Pharmacy Reports Jurnal Ilmiah Farmasi Akademi Farmasi Jember Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Farmasi Sains dan Praktis Pharmacy Genius SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Farmasi Indonesia Journal of Pharmaceutical and Sciences. Jurnal Ilmiah Farmasi Simplisia
Ikhwan Yuda Kusuma
Program Studi Farmasi, Universitas Harapan Bangsa Purwokerto
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Other

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Breaking the Silence: A Social Network Analysis of Self-Harm on X Ike Mardiati Agustin; Ikhwan Yuda Kusuma; Fajar Rinawati; Irmawan Andri
Journal Of Nursing Practice Vol. 8 No. 3 (2025): April
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v8i3.806

Abstract

Background: Self-harm, commonly referred to as non-suicidal self-injury (NSSI), is a severe mental health issue impacting millions of people worldwide. In addition, Social Network Analysis (SNA) is an effective tool for examining social interactions and connections on social media platforms such as X in order to examine the diffusion of information, development of communities, identification of important influencers, and the analysis of sentiment on social media. Purpose: This research aims to analyze the communication, actions, and attitudes of X users around self - harm. To accomplish this objective, social network analysis was used to explore the link between self-harming behaviors and social media by studying the interactions between people and groups. Methods: This research collected data using NodeXL Pro software (Social Media Research Foundation, Redwood City, CA) that allows for collecting tweets from X. Results: This research gives insight into X conversations, habits, and feelings around self- harm. Research on social networks revealed that individual and news media accounts dominate self-harm material, sources, trends, and patterns. The data also indicate that self-harm is strongly associated with cyberbullying victimization, teen dating violence, and sexual abuse, all of which predominantly impact adolescents. Conclusion: The significance of health organizations and experts engaging in social media dialogues in order to deliver accurate information and services to those in need.
Drug Utilization Review of Antibiotics in Geriatric Outpatients at Cilacap Regional General Hospital During the COVID-19 Pandemic Safitri, Cindy Ade; Kurniasih, Khamdiyah Indah; Fauziah, Fauziah; Nurkholis, Fiqih; Kusuma, Ikhwan Yuda
JURNAL ILMIAH FARMASI SIMPLISIA Vol. 5 No. 2 (2025): Desember 2025
Publisher : Jurusan Farmasi, Politeknik Kesehatan Kementerian Kesehatan Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30867/jifs.v5i2.850

Abstract

Infectious diseases are challenging for the geriatric due to higher infection risk and atypical symptoms, leading to more diagnostic uncertainty. This study aimed to evaluate antibiotic use patterns among geriatric outpatients at Cilacap Regional General Hospital in Indonesia during the COVID-19 pandemic. A retrospective study analyzed electronic medical records of geriatric outpatients who received antibiotics from January to December 2021. Data collected included demographic characteristics, types of antibiotics based on the AWaRe classification, route of administration, ICD-10 codes, and antibiotic use. The results showed that the age group of 65–69 years was the most frequent user of antibiotics, with solid oral formulations being the most commonly prescribed. Most antibiotics prescribed belonged to the Watch category, such as cefixime and levofloxacin. The most common diagnosis based on ICD-10 codes was Z098. These findings indicate a tendency toward the use of broad-spectrum antibiotics, which poses a risk of increasing antibiotic resistance. Therefore, stricter antibiotic stewardship interventions and continuous education are necessary to improve the rational use of antibiotics in the geriatric population.
Evaluasi Komprehensif Konten Antibiotik di Instagram Reels: Implikasi untuk Edukasi dan Komunikasi Kesehatan Publik Nafi'ah, Inti Kalun; Kusuma, Ikhwan Yuda; Maryanti, Nelly; Azizah, Azizah; Satyadewi, Putu Ratna Hari; Pratiwi, Amelia Candra; Susanto, Kharisma Evelyne Eka
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1356

Abstract

Antimicrobial resistance remains a global health threat, with irrational antibiotic use being one of its main contributing factors. Social media platforms such as Instagram Reels now play an important role in public health communication, especially among younger audiences. This study aimed to evaluate the characteristics, quality, and reliability of antibiotic-related content on Instagram Reels through content analysis. A cross-sectional study was conducted on 100 videos selected using purposive sampling based on search results with the keyword “antibiotic use” over a two-week period in July 2025. Video quality was assessed using the Journal of the American Medical Association (JAMA) benchmark criteria and the Video Information and Quality Index (VIQI). The results showed that health professionals (50%) and health organizations (45%) were the main content creators, while influencers accounted for only 5%. The dominant themes included appropriate antibiotic use (55%) and resistance (38%), whereas self-medication (21%) and side effects (19%) were underrepresented, and no content addressed misinformation. Overall, video quality was moderate (VIQI-sum = 14.23), with high scores for authorship and currency but low scores for attribution and disclosure. Videos created by health professionals had significantly higher information quality than those by non-health influencers (p = 0.011). These findings highlight the potential of Instagram Reels as a medium for antibiotic education and emphasize the importance of healthcare professional involvement in ensuring evidence-based communication.
Analisis Bibliometrik Global Pemanfaatan Artificial Intelligence Dalam Penelitian Resistensi Antimikroba Periode 2015–2025 Nurrahma, Alfiya Hana; Kusuma, Ikhwan Yuda; Ramadhani, Nadia; Nufus, Ayatun; Saputri, Abelia; Haryanti, Sri; Putri, Renanda Nabila
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1358

Abstract

Antimicrobial resistance (AMR) is a growing global health threat. Artificial Intelligence (AI) offers innovative approaches to the detection, prediction, and management of resistance through advanced data analysis. This study aims to map the research landscape of AI utilisation in AMR for the period 2015–2025 through bibliometric analysis. A search on PubMed (4 September 2025) yielded 2,078 documents (1996–2025), and after applying year restrictions, 2,009 articles were analysed. The total output of countries reached 11,943 publications, with China (5,570), the United States (2,896), and India (755) as the main contributors. Four thematic clusters were identified: machine learning, bacterial resistance, deep learning, and antimicrobial stewardship. The results showed a sharp increase in publications until 2025, with the journals Antibiotics, Frontiers in Microbiology, and Scientific Reports dominating. The study confirmed the important role of AI in supporting resistance detection and precision medicine, but challenges such as data limitations, algorithmic bias, and global research inequality still require attention.
Pengetahuan Masyarakat Tentang Antibiotik dan Faktor Sosiodemografi di Indonesia: Implikasi Terhadap Swamedikasi dan Resistensi Antimikroba Lauale, Evangelina Natali Theresya; Kusuma, Ikhwan Yuda; Mailatunnazza, Nova; Veronica, Laila; Putri, Melisa Mareta; Hilmi, Nahla Habibah; Amalia, Najwa Nurul; Izati, Fina Karunia
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1360

Abstract

Antibiotics are essential drugs for treating infectious diseases; however, limited public knowledge regarding their proper use contributes to self-medication practices and accelerates antimicrobial resistance. This study aimed to assess the level of antibiotic knowledge among the Indonesian population and analyze its association with sociodemographic factors. A cross-sectional survey was conducted using an online questionnaire distributed through social media, involving 487 respondents from various regions of Indonesia. Data were analyzed using Chi-square tests with SPSS version 27. The results revealed that 63.45% of respondents had high knowledge of antibiotics, 24.85% had moderate knowledge, and 11.70% had low knowledge. Female participants were more likely to demonstrate higher knowledge compared with males (OR = 2.009; 95% CI: 1.336–3.021; p < 0.001), while respondents with a bachelor’s degree showed greater knowledge than those with lower education levels. Occupational and regional differences were observed but were not statistically significant. These findings indicate that although the majority of respondents possessed a good understanding of antibiotics, a considerable proportion still demonstrated poor knowledge, potentially increasing the risk of irrational use. Targeted educational interventions and stricter regulation of antibiotic distribution are essential strategies to enhance public literacy and reduce the threat of antimicrobial resistance in Indonesia.
Peran Media Sosial dalam Meningkatkan Literasi Kesehatan Masyarakat tentang Penggunaan Antibiotik yang Rasional di Indonesia: Cross-Sectional Study veronica, Laila; Kusuma, Ikhwan Yuda; Wibawa, Navyzhah Aulia Aulia Putri; Khosyi, Nathania Elsa; Lauale, Evangelina Natali Theresya; Afifah, Maulina Nurul; Destiannesvi, Anggie
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1361

Abstract

Antimicrobial resistance is a serious global health problem, including in Indonesia, mainly due to the irrational use of antibiotics. The widespread use of social media opens up opportunities as a fast and interactive means of health education. This study aims to analyze the role of social media in increasing public knowledge about antibiotic use. The study used a cross-sectional design with an online survey conducted from December 2024 to May 2025, involving 581 respondents from various provinces in Indonesia. Data were collected through an online questionnaire covering demographics, social media usage patterns, and antibiotic knowledge. Data analysis was performed using SPSS version 27 with descriptive tests, and Chi-square. The results showed that the majority of respondents had moderate knowledge (63.5%), followed by high (34.9%) and low (1.5%). Age, gender, education, occupation, and social media usage are significantly related to knowledge levels. Older respondents, women, those with a bachelor's degree or higher, and civil servants tend to have better knowledge. Google (72.85%) and Twitter (64.29%) users also demonstrate higher knowledge levels compared to users of other platforms. In conclusion, social media plays an important role in improving public health literacy because social media has a very wide reach in Indonesia, information can be disseminated quickly and interactively, and it is easier for the public to understand educational content through social media than through conventional media such as television or brochures. Social media can be used as an effective strategy to reduce antibiotic resistance through more targeted and accessible education.
Co-Authors Abely, Nastasya Anis Afifah, Maulina Nurul Afnida Dwi Lestari Almas Amalul Fasha Alvin Ulinnuha Amalia, Najwa Nurul Amelia Damayanti Annima Alfi Fauqina Apriliansa, Elza Puspita Arrina Sabilahaq Awang Pardigantara Azizah Azizah Bella Aisya Fitri Cecep Darwis Muttaqin Destiannesvi, Anggie Desy Nawangsari Dian Pitaloka Priasmoro, Dian Pitaloka dina febrina DM, Peppy Oktaviani Elza Puspita Apriliansa Fajar Rinawati Fasha, Almas Amalul Fauziah , Fauziah Fauziah Fauziah Fina Rudiyanti Galih Samodra Galih Samodra Gita Fitriyani Halimatu Sa'diah Halimatu Sa’diah Hikmanti, Arlyana Hilmi, Nahla Habibah Ike Mardiati Agustin Irmawan Andri Izati, Fina Karunia K, Khamdiyah Indah Khasanah, Khuswatun Khosyi, Nathania Elsa Kurniasih, Khamdiyah Indah Kusnandar Anggadiredja Lauale, Evangelina Natali Theresya Linda Sukiatno Mailatunnazza, Nova Maryanti, Nelly Misworo, Misworo Nadia Ramadhani Nafi'ah, Inti Kalun nawangsari, desi Nawangsari, Desy Nida Nuridayah Noryana Novia Wulandari Nuari, Doni Anshar Nufus, Ayatun Nur Islamiah Nurkholis, Fiqih NURLAELA NURLAELA Nurrahma, Alfiya Hana Peppy Octaviani Peppy Octaviani Peppy Octaviani Dian Megasari Prabandari, Rani Pratiwi, Amelia Candra Putri, Melisa Mareta Putri, Renanda Nabila Rani Prabandari Rani Prabandari Safitri, Cindy Ade Samodra, Galih Saputri, Abelia Sari, Destika Ambar Satyadewi, Putu Ratna Hari Sita Nur Faradila Sita Sri Haryanti Sunarti Sunarti Sunarti Suryo Ediyono Susanto, Kharisma Evelyne Eka Susilo Rini Tresnowati, Gulita Indah umi sangadah Veronica, Laila Wibawa, Navyzhah Aulia Aulia Putri Wilis Sukmaningtyas Yuli Yuli Maesaroh YUNI ASRI, YUNI Yutia Ihza Komala Yuyun Pujiarti