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All Journal Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Jurnal Penelitian dan Evaluasi Pendidikan Jurnal Ilmiah Farmasi e-Journal Pustaka Kesehatan Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science) Jurnal Teknologi Informasi dan Ilmu Komputer Global Medical and Health Communication Jurnal Farmasi Sains dan Komunitas JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Farmasi Galenika (Galenika Journal of Pharmacy) Warta Pengabdian JURNAL FARMASIMED (JFM) Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Charity : Jurnal Pengabdian Masyarakat SOCIAL CLINICAL PHARMACY INDONESIA JOURNAL Farmasis: Jurnal Sains Farmasi Jurnal Pengabdian Masyarakat Akademisi eProceedings of Engineering Jurnal Farmasi Indonesia Journal of Agropharmacy
Ema Rachmawati
Fakultas Farmasi Universitas Jember
Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

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Klasifikasi Buah-Buahan dengan Metode ResNet-RS Fruit Classification With ResNet-RS Wirasakananda, Dewa Made Aditya; Rachmawati, Ema; Kosala, Gamma
eProceedings of Engineering Vol. 10 No. 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak-Buah-buahan merupakan salah satu makanan yang dikonsumsi oleh masyarakat di dunia. Dengan adanya berbagai jenis buah-buahan yang tersedia di dunia, buah-buah tersebut mempunyai karakteristik bentuk dan warna yang berbeda-beda. Oleh karena itu perlunya dilakukan klasifikasi sebagai cara untuk mengidentifikasi buah-buahan secara cepat, dengan menerapkan teknik computer vision yang menggunakan metode ResNet-RS. Metode ini digunakan karena ResNet-RS merupakan metode yang mempunyai peningkatan terhadap ResNet yang diperkenalkan pada 2015. Untuk klasifikasi buah-buahan dengan menggunakan metode ResNet-RS mendapatkan hasil yaitu 97.29% akurasi, 97.29% F1-Score, 97.28% recall, dan 97.31% precision. Terdapat selisih 4.07% dalam akurasi terhadap model ResNet dengan dataset yang sama.Kata kunci-buah-buahan, ResNet-RS , klasifikasi
PROFIL DRUG UTILIZATION (DU) 90% DAN KESESUAIAN ANTIBIOTIK PADA PASIEN DEMAM TIFOID DI RS X KABUPATEN WONOGIRI Kusumaningrum, Yunita Dyah; Rachmawati, Ema; Firandi, Adelia; Norcahyanti, Ika
SOCIAL CLINICAL PHARMACY INDONESIA JOURNAL Vol 10, No 2 (2025)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/scpij.v10i2.8821

Abstract

Demam Tifoid merupakan infeksi bakteri Salmonella thypi yang memerlukan terapi dengan antibiotik. Penggunaan antibiotik perlu dilakukan dengan bijak supaya efektif untuk penyembuhan infeksi dan mencegah terjadinya resistensi. World Health Organization (WHO) merekomendasikan penggunaan metode Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) untuk menilai kuantitas penggunaan antibiotik dan dapat dikombinasikan dengan metode Drug utilization (DU) 90% untuk menilai segmen obat dengan penggunaan tinggi. Penelitian ini bertujuan untuk menganalisis penggunaan antibiotik dengan metode DU 90% pada pasien demam tifoid pada tahun 2020-2022 di RS X Wonogiri dan menganalisis kesesuaian pemilihan antibiotik berdasarkan panduan klinik rumah sakit. Penelitian ini merupakan penelitian observasional menggunakan metode cross sectional dengan pengambilan data secara retrospektif. Data penggunaan antibiotik dianalisis dengan menghitung nilai DDD/100 patient-days dan dilanjutkan menghitung segmen DU 90%. Untuk analisis kesesuaian pemilihan antibiotik dihitung dalam persentase kesesuaian terhadap panduan praktik klinik RS X Wonogiri. Hasil penelitian menunjukkan penggunaan antibiotik untuk demam tifoid paling tinggi yaitu tiamfenikol dan seftriakson. Antibiotik dengan nilai DDD/100 patient-days tertinggi tahun 2020-2022 adalah tiamfenikol, berturut-turut sebesar 50,80; 56,63; dan 50,95 DDD/100 patient-days. Antibiotik yang masuk ke dalam segmen DU 90% pada tahun 2020-2022 yaitu tiamfenikol, sefriakson, kloramfenikol, sefoperazon, sefotaksim, levofloksasin, dan seftazidim. Kesesuaian penggunaan antibiotik berdasarkan panduan praktik klinik rumah sakit yaitu 76,39% pada tahun 2020, 58,73% pada tahun 2021, dan 71,28% pada tahun 2022
Knowledge and Attitudes of Indigenous Papuan Communities Toward HIV/AIDS in Nabire District Rachmawati, Ema; Kusumaningrum, Yunita Dyah; Machlaurin, Afifah; Firandi, Adelia; Damayanti, Putri Elsa
Jurnal FARMASIMED (JFM) Vol 8 No 2 (2026): Jurnal Farmasimed (JFM)
Publisher : Fakultas Farmasi Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/2cfpmp04

Abstract

Human Immunodeficiency Virus (HIV) is a virus that attacks white blood cells and gradually weakens the immune system. Without appropriate treatment, HIV infection can progress to Acquired Immunodeficiency Syndrome (AIDS), a late stage marked by severe immune impairment. Papua is one of the provinces with the highest HIV/AIDS prevalence in Indonesia which indicating the importance of understanding community knowledge and attitudes as key elements in prevention and control efforts. This study aimed to describe the level of knowledge and attitudes toward HIV/AIDS among Indigenous Papuan communities in Nabire District. This study employed a descriptive cross-sectional design. Data were collected using a questionnaire that had been tested for validity and reliability, consisting of 23 knowledge items and 11 attitude items. A total of 300 respondents who met the inclusion criteria were included in the analysis. The findings showed that respondents’ knowledge was categorized as high (28%), moderate (32%), and low (39.67%). With regard to attitudes toward HIV/AIDS, 13% of respondents demonstrated good attitudes, 42.67% had moderate attitudes, and 43.67% showed poor attitudes. It can be concluded that the average level of knowledge among indigenous Papuan communities remains low, accompanied by less favorable attitudes toward HIV/AIDS. These findings indicate the need to strengthen more intensive, targeted, and socio-culturally appropriate educational programs to improve knowledge and promote more positive attitudes toward HIV/AIDS particularly in Nabire District.
Leveraging Sarcasm Text Detection in Meme Polarity Classification Assyadid, Zeva Patu; Rachmawati, Ema
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7516

Abstract

Memes are a popular internet format and spread quickly across many social media platforms. People can express their ideas, criticisms, interests, or aversions through memes. But in some cases, other people may interpret memes differently and feel bad about it. This variation in meme interpretation is a challenge in sentiment analysis, as a meme can be judged negative or positive by different individuals. Therefore, there is a need for an automated system that can consistently predict the sentiment polarity of memes. A meme is multimodal content that could consist of visual and textual components, which is suitable for a sentiment polarity analysis study. To model a system that effectively leverages multimodal features, the model needs to understand the meme features. This study proposes a joint deep learning model—BERT and Densenet121—that concatenates text, image, and cluster features based on the extracted face encodings. To assess the context of the texts better, BERT was trained with a sarcasm dataset. The widely used ‘SemEval 2020 Task 8: Memotion Analysis dataset’ was used in this study due to its comprehensive annotation of meme-based sentiment and sarcasm, which aligns with this study’s approach. The result demonstrates that the model achieved 0.3738 Accuracy (+2.52%) and 0.3735 Weighted F1 (+1.04%), while maintaining competitive Macro F1 (0.3047). This result shows effective sarcasm adaptation on imbalanced datasets, with improved ability to detect positive and neutral sentiments and reduce sarcastic false negatives compared to the base model. This highlights the effectiveness of integrating sarcasm detection into the model framework for robust sentiment classification in memes.
The Role of Pharmacy Personnel in Ensuring Appropriate Diarrhea Self-Medication in an Agro-Coastal Community in Jember, Indonesia Wardhani, Firdha Aprillia; Nur Sepdianto, Bagas; Rachmawati, Ema; Pontanar, Mae Quenie; Afifah Machlaurin
Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Vol. 11 No. 1 (2026)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/farmasains.v11i1.44285

Abstract

Background: Self-medication for diarrhea is a common self-care practice because diarrhea is often perceived as a mild, self-limiting condition. However, its high prevalence in Indonesia, particularly in Jember Regency, raises concerns about inappropriate medicine selection and use, including the unsupervised use of prescription-only drugs such as loperamide and antibiotics. Pharmacists and pharmacy personnel play a key role in promoting safe and rational self-medication. Method: This cross-sectional study was conducted in 15 pharmacies in Agro-Coastal Jember from August 2025 to January 2026. Using purposive sampling, 200 eligible respondents were recruited. Data were collected using a structured questionnaire and analyzed using univariate analysis and Chi-square analysis with the contingency coefficient test to assess the significance and strength of the relationship between variables. Result: Most respondents were female (67%), aged 26–35 years (46.5%), had a senior high school education (71%), and had a monthly income of < IDR 2,500,000 (86%). Loperamide was the most frequently used medication (46.36%), and more than half of the medications used were prescription-only (53.18%). The appropriateness of diarrhea self-medication remained low for both medicine selection (46.8% appropriate) and medicine use (28.2% appropriate). A significant association was found between the role of pharmacists/pharmaceutical staff and the appropriateness of diarrhea self-medication (p < 0.05), although the strength of the relationship was weak (r = 0.233 and r = 0.184). Conclusion: In conclusion, diarrhea self-medication in the Agro-Coastal Jember community was still dominated by inappropriate medication practices. Strengthening pharmacy-based counseling in community pharmacy and service quality is essential to improve the safety and rational use of medicines in diarrhea self-medication.
PENINGKATAN PENGETAHUAN DAGUSIBU (DAPATKAN, GUNAKAN, SIMPAN, BUANG) OBAT DI DESA JEMBER KIDUL Diana Holidah; Adelia Firandi; Yunita Dyah Kusumaningrum; Ema Rachmawati
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Volume 6 No. 2 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i2.44095

Abstract

Kesehatan merupakan kondisi fisik dan mental yang bebas dari penyakit dan dapat meningkatkan kesejahteraaan masyarakat. Obat adalah bahan yang digunakan untuk mencegah, menyembuhkan, dan meningkatkan kesehatan, namun, obat juga dapat bersifat toksik bila tidak digunakan secara rasional. Diketahui bahwa lebih dari 60% masyarakat Indonesia melakukan pengobatan sendiri atau swamedikasi, dan diantaranya, ada yang menyimpan obat keras tanpa resep termasuk antibiotik, menyimpan obat kadaluarsa, dan membuang obat dengan cara yang salah. Hal ini disebabkan karena kurangnya pemahaman dan kesadaran masyarakat terkait cara mendapatkan, menggunakan, menyimpan, dan membuang obat dengan benar. Apoteker memiliki peran dalam meningkatkan derajat kesehatan masyarakat melalui berbagai pelayanan kefarmasian, salah satunya melalui DAGUSIBU (Dapatkan, Gunakan, Simpan, Buang) Obat. Ibu adalah pilar kesehatan yang berperan penting dalam mengatur berbagai hal dalam keluarga, termasuk penyediaan dan pengelolaan obat-obatan dirumah, Oleh karena itu, dilakukan penyuluhan terkait DAGUSIBU secara lisan dan tertulis melalui power point dan leaflet pada ibu-ibu kader PKK di Desa Jember Kidul, Kecamatan Kaliwates, Kabupaten Jember. Evaluasi kegiatan didapatkan terdapat peningkatan pengetahuan peserta sebanyak 27.5% melalui hasil pre-test dan post-test. Oleh karena itu, tema ini layak diadakan secara rutin dan diperluas cakupannya ke wilayah lain untuk meningkatkan pemahaman dan kesadaran individu sehingga dapat mencegah penyalahgunaan obat dan permasalahan kesehatan lainnya
Co-Authors Afifah, Hanin Agnes Jovanka Agung Budi Wirayuda, Tjokorda Agustina, Nur Azizah Akbar, M Raehan Alhafidz, Bagas Millen Amelya Prastica Rahayu Aliong Anditya Arifianto Anis Rohmawati Antonius Nugraha Widhi Pratama Antonius Nugraha Widhi Pratama Aprianti Putri Sujana Aryani, Dhita Evi Assyadid, Zeva Patu Astutik, Amelia Windi Bedy Purnama Damayanti, Putri Elsa Dawami, Hasbi Deny Haryadi Dhea Nanda Aliefia Dhita Evi Aryani Diana Holidah Elfitri, Beladina Evi Umayah Ulfa Febryanti Sthevanie Firandi, Adelia Firdaus, Fauzan Firdauz, Salma Salsabila Fitriansyah, Ahmad Habib Fransiska Maria C. Fransiska Maria Christianty Gamma Kosala Hazrina, Inasa Husnun, Khoiriyah Haifa Ika Barokah Suryaningsih Ika Norcahyanti Ika Norcahyanti Ika Puspita Dewi, Ika Puspita Inasa Hazrina Indah Yulia Ningsih Khoirotun Nazilah Kurniawan, Eka Cahya Kusumaningrum , Yunita Dyah Lailatul Maghfiroh Machlaurin, Afifah Machlaurin, Afifah Mahmud Dwi Sulistiyo Masito, Dewi Khurmi Muhammad Arzaki Nili Sufianti Ninda Titis Ainorrochma Ningsih, Lidya Nur Sepdianto, Bagas Pontanar, Mae Quenie Prasti Eko Yunanto Pratama , Antonius Nugraha Widhi Pratiwi, Permata Sari Prihwanto Budi Subagijo Pudjoadmojo, Bambang Putri Eka Maryani Putu Harry Gunawan Putu Setia Pratama Ramadhani, Nuril Izzati Farihatur Rikman Aherliwan Rudawan Rimba Whidiana Ciptasari Risnandar, Risnandar S Siswanto Safarin, Arva Adwitya Sagala , Tunggal Panaluan Gabriel Sinta Rachmawati Sinta Rachmawati Supriadi, Muhammad Fadhlan Syahid, Ibadurrahman Tahyudin, Ganjar Gingin Ubaidillah, Rifky Fahrizal Wardhani, Firdha Aprillia Wicaksono, Ayssa Wirasakananda, Dewa Made Aditya Yeni Rahmawati Negara Zaenudin, Mohamad Nor