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All Journal Jurnal Ilmiah Farmasi Majalah Farmaseutik Jurnal Riset Kefarmasian Indonesia Medfarm: Jurnal Farmasi dan Kesehatan Jurnal Kesehatan Tambusai Jurnal Farmasi Etam Journal of Innovation Research and Knowledge Jurnal Ilmu Multidisplin Journal of Biotechnology and Natural Science Pharmacon: Jurnal Farmasi Indonesia
Simanullang, Raymon
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Utilizing big data and data mining to detect adverse drug reactions in pharmacovigilance systems Taufiqurrahman , Muh.; Simanullang, Raymon; Alichia Ayu Susan; Nainggolan, Angel Natalia; Dinda Alya Arianti; Donangsia Wunga Sogen; Falen Sindi Ayugistia; Pijaryani, Indria
Jurnal Ilmiah Farmasi Vol. 22 No. 1 (2026): Jurnal Ilmiah Farmasi
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jif.vol22.iss1.art2

Abstract

Background: Adverse Drug Reactions (ADRs) remain a global health problem, increasing morbidity, mortality, and costs. The Spontaneous Reporting System (SRS), while central to pharmacovigilance, suffers from underreporting and delayed signal detection. Advances in big data and data mining offer solutions to these limitations.Objective: This review evaluates the use of statistical, Bayesian, and artificial intelligence (AI)-based methods to improve early detection of ADR signals in large pharmacovigilance databases.Method: A literature review was conducted on 12 studies applying statistical methods (reporting odds ratio and proportional reporting ratio), Bayesian approaches, and AI techniques (machine learning and natural language processing) to datasets including FAERS, WHO VigiBase, VigiFlow, and national AEFI systems.Results: Disproportionality analysis aided early screening but was limited in detecting rare events and prone to false positives. Bayesian methods improved stability and accuracy for low-frequency signals. Machine learning enhanced predictive performance and reduced false alarms, while NLP facilitated processing of unstructured reports. The combined application of these methods enhanced sensitivity, specificity, and validity of pharmacovigilance systems. Conclusion: The integration of big data with statistical, Bayesian, and AI approaches significantly advances pharmacovigilance by enabling faster and more accurate ADR detection, though challenges in data quality, privacy, and clinical validation remain.
ANALISIS TINGKAT KEPATUHAN TERAPI ANTIRETROVIRAL PADA PASIEN HIV/AIDS DI PUSKESMAS TEMINDUNG Paranael Paranael; Liniati Geografi; Raymon Simanullang
Jurnal Farmasi Etam (JFE) Vol 4 No 2 (2024): Desember
Publisher : Unit Penelitian dan Pengabdian Kepada Masyarakat (UPPM) STIKES Dirgahayu Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52841/jfe.v4i2.817

Abstract

The Central Statistics Agency of East Kalimantan Province recorded 337 HIV/AIDS cases in 2023, with Samarinda accounting for the highest number of cases (134). Effective HIV/AIDS treatment is key to slowing disease progression, improving patients' quality of life, and reducing the risk of viral transmission. Antiretroviral therapy (ARV) has become the standard of care for HIV/AIDS patients. This study aims to analyze adherence to antiretroviral therapy in HIV/AIDS patients at the Temindung Community Health Center. The method used was a quantitative cross-sectional approach, where the independent and dependent variables were measured at a single point in time. Data were collected through observation, questionnaires, data collection techniques, and the number of HIV/AIDS patient visits to the Temindung Community Health Center Pharmacy Unit. The expected outcomes of this study are improved patient understanding and adherence to antiretroviral therapy (ARV), as well as identification of factors influencing adherence levels in HIV/AIDS patients at the Temindung Community Health Center. Based on the analysis of data obtained through observations, questionnaires, and the number of patient visits for ARV treatment, this study is expected to provide relevant recommendations to improve the quality of service and support the effectiveness of HIV/AIDS patient treatment at the Temindung Community Health Center.
Compliance Analysis of Vaccine Storage and Distribution at the Samarinda Pharmacy Installation in December 2024 Asih Rahayu Pamungkas; Muh. Taufiqurrahman; Raymon Simanullang
MEDFARM: Jurnal Farmasi dan Kesehatan Vol 14 No 2 (2025): Medfarm: Jurnal Farmasi dan Kesehatan
Publisher : LPPM Akafarma Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48191/medfarm.v14i2.592

Abstract

Vaccines are very susceptible to damage, so vaccine management requires special handling. Vaccines if handled not according to the provisions can cause damage to the vaccine so that it reduces or eliminates the potential, and can even cause post-immunization adverse events when administered. The objective of this study is to assess the compliance of immunization vaccine storage and distribution at Samarinda Pharmacy Installation with the Good Distribution Practices (GDP) Guidelines of 2020 and Guidelines for Vaccine Management in Healthcare Facilities of 2021 for the period December 2024. This research approach is qualitative research. Qualitative research is presented in descriptive form. Data collection was carried out by observation using a checklist, document observation in 2024 and interviews with the pharmacist in charge. The population in this study were all immunization vaccines stored at the Samarinda Pharmacy Installation. The results obtained will be compared with the guidelines of good distribution practice and the guidelines for vaccine management in health facilities. Based on the results of the study conducted at Samarinda Pharmacy Installation, the compliance of vaccine storage was 67% based on the GDPN Guidelines of 2020 and 94% based on the Guidelines for Vaccine Management in Healthcare Facilities of 2021. The compliance rate of vaccine distribution was 83% based on the GDP Guidelines of 2020 and 100% based on the Guidelines for Vaccine Management in Healthcare Facilities of 2021.
Hubungan Tingkat Stres Terhadap Pola Tidur Serta Dampaknya Terhadap Perilaku Swamedikasi Pada Mahasiswa STIKES Dirgahayu Samarinda Celly Delfia Tusau; Muh Taufiqurrahman; Raymon Simanullang
Jurnal Farmasi Etam (JFE) Vol 6 No 1 (2026): Juni
Publisher : Unit Penelitian dan Pengabdian Kepada Masyarakat (UPPM) STIKES Dirgahayu Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52841/jfe.v6i1.896

Abstract

Penelitian ini dilatarbelakangi oleh tingginya tingkat stres akademik pada mahasiswa tingkat akhir yang dapat memengaruhi kualitas tidur serta mendorong perilaku swamedikasi. Kondisi tersebut dapat mendorong mahasiswa melakukan swamedikasi tanpa pengawasan tenaga kesehatan untuk mengatasi keluhan seperti sakit kepala, kelelahan, maupun gangguan tidur. Penelitian ini bertujuan untuk menganalisis hubungan tingkat stres terhadap pola tidur serta dampaknya terhadap perilaku swamedikasi pada mahasiswa STIKES Dirgahayu Samarinda. Penelitian ini menggunakan metode kuantitatif dengan pendekatan deskriptif analitik dan desain cross sectional. Populasi penelitian adalah seluruh mahasiswa tingkat akhir Program Studi S-1 Farmasi, S-1 Keperawatan, dan D-3 Keperawatan STIKES Dirgahayu Samarinda dengan jumlah sampel sebanyak 67 responden yang dipilih menggunakan teknik purposive sampling. Instrumen yang digunakan yaitu Perceived Stress Scale (PSS-10) untuk mengukur tingkat stres, Pittsburgh Sleep Quality Index (PSQI) untuk mengukur kualitas tidur, serta kuesioner perilaku swamedikasi. Analisis data menggunakan analisis deskriptif dan uji Chi-Square (χ²). Hasil penelitian diharapkan menunjukkan adanya hubungan yang signifikan antara tingkat stres dengan pola tidur serta adanya kecenderungan perilaku swamedikasi pada mahasiswa yang mengalami kualitas tidur buruk dan gangguan tidur.
HUBUNGAN TINGKAT KEPUASAN PASIEN DIABETES MELITUS TIPE-2 TERHADAP MUTU PELAYANAN FARMASI DI RUMAH SAKIT DIRGAHAYU SAMARINDA Putri Romelisa; Muh Taufiqurrahman; Raymon Simanullang
Jurnal Farmasi Etam (JFE) Vol 6 No 1 (2026): Juni
Publisher : Unit Penelitian dan Pengabdian Kepada Masyarakat (UPPM) STIKES Dirgahayu Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52841/jfe.v6i1.898

Abstract

Diabetes melitus tipe-2 merupakan penyakit kronis yang memerlukan pengobatan jangka panjang sehingga membutuhkan pelayanan kefarmasian yang bermutu untuk mendukung keberhasilan terapi dan meningkatkan kepuasan pasien. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat kepuasan pasien diabetes melitus tipe-2 dengan mutu pelayanan farmasi di Rumah Sakit Dirgahayu Samarinda. Penelitian ini menggunakan metode kuantitatif dengan rancangan cross-sectional. Teknik pengambilan sampel menggunakan total sampling dengan jumlah 80 pasien diabetes melitus tipe-2 yang memenuhi kriteria penelitian. Data dikumpulkan menggunakan kuesioner berdasarkan lima dimensi SERVQUAL, yaitu tangible, reliability, responsiveness, assurance, dan empathy. Analisis data dilakukan secara univariat dan bivariat. Uji normalitas menggunakan Kolmogorov-Smirnov menunjukkan bahwa data tidak berdistribusi normal (p < 0,05) sehingga analisis hubungan dilakukan menggunakan uji korelasi Spearman Rank. Hasil penelitian menunjukkan bahwa 50,0% responden berada pada kategori sangat puas dan 46,3% pada kategori puas. Mutu pelayanan farmasi dinilai sangat baik oleh 60,0% responden dan baik oleh 36,3% responden. Uji Spearman Rank menunjukkan adanya hubungan yang signifikan antara tingkat kepuasan pasien dengan mutu pelayanan farmasi (p = 0,000; r = 0,744), yang menunjukkan korelasi positif dengan kekuatan hubungan yang kuat. Oleh karens itu, semakin baik mutu pelayanan farmasi, semakin tinggi tingkat kepuasan pasien.
Evaluation of Drug Management in the Planning, Procurement, and Distribution Stages at the Hospital Pharmacy Installation Clara Ritawany Sinaga; Roivelisko Tikes; Raymon Simanullang
Pharmacon: Jurnal Farmasi Indonesia Vol. 22 No. 1 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/pharmacon.v22i1.6395

Abstract

Pharmacy department is a very important part of the hospital because it is the center of drug management and a source of hospital income. This study aims to determine drug management at the planning, procurement, and distribution stages at the Hospital Pharmacy Installation. This type of research is a descriptive evaluative research with qualitative methods. Data collection was carried out retrospectively on drug management indicators at the planning, procurement, and distribution stages, prospectively by conducting direct interviews and using random sampling methods. Data analysis uses and according to the Indonesian Ministry of Health in 2008, WHO in 1993 and Pudjaningsih in 1996. The validity test used is expert judgment. The results of the study showed that the conformity of drug items with the National Formulary was 18%, the frequency of procurement of each drug item was 5,6x/year, 13% invoice errors, the frequency of delayed payments by the hospital against the specified time was 70%, the level of drug availability was 46 months, the percentage of dead stock was 1%, the compatibility between drugs and stock cards was 100%. This shows that the indicators of drug management at the planning, procurement, and distribution stages are still not efficient, because there are still several indicators that do not comply with the established standards so that improvements need to be made.
Co-Authors -, mardiana - Adhe Septa Ryant A Agus, Adhe Septa Ryant Alichia Ayu Susan Antonius Mario Claret Tophi Making Asih Rahayu Pamungkas Celly Delfia Tusau Chairun Wiedyaningsih Clara Ritawany Sinaga Dinda Alya Arianti Donangsia Wunga Sogen Falen Sindi Ayugistia Helena Aritonang Liniati Geografi Maria Elvina Tresia Butar-Butar Mochammad Tri Norcahyo Muhammad Evan MZ, Sariati Nainggolan, Angel Natalia Nurillahi Febria Leswana Paranael Paranael Pijaryani, Indria Putri Romelisa Roivelisko Tikes Sinaga, Clara Ritwany Sister Sianturi Sriminarty Tambing Taufiqurrahman, Muh Tri Murti Andayani Wijikinasih, Wijikinasih