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All Journal Jurnal Ilmiah Farmasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Ilmiah Kesehatan Amerta Nutrition PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JURNAL MEDIA KESEHATAN Majalah Farmasetika Lumbung Farmasi : Jurnal Ilmu Kefarmasian Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Empathy Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Indonesia Maju (JPMIM) Asian Journal of Healthcare Analytics Journal of Global Nutrition Miracle Get Journal
Pijaryani, Indria
Universitas Mulawarman
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Antioxidant Retention and Physicochemical Characterization of Instant Ginger Powder Formulation as a Functional Beverage Pijaryani, Indria; Muh. Taufiqurrahman
Asian Journal of Healthcare Analytics Vol. 5 No. 1 (2026): May 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajha.v5i1.16477

Abstract

This study aims to formulate an instant ginger rhizome extract powder and comprehensively evaluate its physicochemical characteristics and antioxidant retention capacity as a functional beverage. This experimental research employed four variations of ginger powder concentration (0%, 5%, 10%, and 15%) using the wet granulation method. Evaluation results indicated that all formulations met the required standards, with moisture content below 5% and favorable flowability. The 15% formulation (F3) proved to be the most optimal, demonstrating strong antioxidant activity with an IC50 value of 65.50 ppm. Overall, this formulation produces a powdered beverage with excellent physicochemical stability and measurable nutraceutical efficacy, making it a viable candidate for functional food.
An Analysis of the Implementation and Challenges of the 2024 Indonesian Nutrition Status Survey (SSGI) Validation in East Kalimantan Province Jamil Anshory; Riska Mayang Saputri G; Indria Pijaryani; Andi Tenri Kawareng; Erri Larene Safika; Ummi Khuzaimah; Leny Eka Tyas Wahyuni; Agustin Putri Rahayu; Lia Kurniasari; Mardiana Mardiana; Sabarinah Sabarinah; Dieta Nurrika; Nastitie Cinintya Nurzihan
Journal of Global Nutrition Vol 5 No 2 (2025)
Publisher : Ikatan Sarjana Gizi Indonesia (ISAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53823/jgn.v5i2.157

Abstract

The Indonesian Nutritional Status Survey (SSGI) is a national tool for monitoring population nutritional status and serves as an evidence base for policy formulation. The accuracy of nutritional prevalence estimates depends on the quality of survey implementation and validation. This study aimed to evaluate the validation process of the 2024 SSGI in East Kalimantan Province, specifically in Samarinda City and Penajam Paser Utara District. A descriptive-evaluative design was applied between July and August 2024, involving households and individuals from validation clusters according to the 2024 sampling design. Data collection included anthropometric measurements, household and individual interviews, field observations, and document reviews, complemented by in-depth interviews with enumerators, validators, and supervisors. Quantitative analysis was performed to calculate procedural deviations, while qualitative thematic analysis was applied to identify recurring challenges related to training adequacy, logistics, supervision, and data quality assurance, with triangulation and inter-rater reliability checks used to strengthen validity. Results show that geographical and accessibility constraints, administrative barriers during sample updating, insufficient technical guidelines, and inconsistent recruitment mechanisms hindered the input stage. At the process stage, deviations were observed in anthropometric measurements, hygiene protocol adherence, and interview completeness, while environmental conditions, limited facilities, and weak coordination influenced the output stage. These findings highlight gaps between standardized protocols and field practices that may compromise data validity. Systemic improvements are required through updated sampling frames, written technical guidelines, practice-based training, layered supervision, and context-specific adaptation strategies to strengthen future national nutrition surveys.
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.
Bersama Cegah Anemia : Pemberdayaan Remaja dalam Kampanye Gizi dan Pola Hidup Sehat Nastitie Cinintya Nurzihan; Ratih Wirapuspita Wisnuwardani; Nurul Afiah; Indria Pijaryani; Leny Eka Tyas Wahyuni; Akhmad Dzikri
Jurnal Empathy Pengabdian Kepada Masyarakat Jurnal Empathy Pengabdian Kepada Masyarakat Volume 6 Number 1 Year 2025
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jurnalempathy.v6i1.315

Abstract

Background: Anemia remains a significant public health issue among adolescent girls in Samarinda, with a reported prevalence of 20.3%. The condition, often linked to iron deficiency, poses risks to physical development, cognitive performance, and overall well-being. Contributing factors include unbalanced dietary habits, menstruation, parasitic infections, and low awareness of nutritional needs. This activity aims to enhance the capacity of adolescents to prevent anemia through participatory and sustainable nutrition campaigns and healthy lifestyle practices. Methods: This community service initiative was conducted at SMA Negeri 1 and SMA Negeri 10 Samarinda from November 15-21, 2024, involving 40 female students. A participatory and educational approach was employed, including group discussions, health counseling, and the use of visual educational media such as booklets and PowerPoint presentations. Pre- and post-tests were administered to evaluate changes in knowledge. Results: The participants, predominantly aged 16 years, showed low baseline awareness about anemia. The intervention led to a 22% increase in knowledge regarding the causes, symptoms, and prevention of anemia. Interactive discussions and visual media effectively engaged students, promoting better understanding and proactive attitudes toward healthy lifestyles and iron intake. Conclusion: A participatory and visual-based approach is effective in promoting health knowledge and behavior change among adolescents, with potential long-term benefits for school and community health. Recommended activities include interactive nutrition education sessions, visual media campaigns, peer-led discussions, and community-based monitoring to sustain behavior change.
Co-Authors Abdul Rahim Agustin Putri Rahayu Akhmad Dzikri Alichia Ayu Susan Andi Tenri Kawareng Anggreini, Putri Arief, Maryam Jamila Aryatika, Karera Badriyah, Lulu'ul Dieta Nurrika Dinda Alya Arianti Donangsia Wunga Sogen Erri Larene Safika Evilia, Evilia Fadilla, Raisa Falen Sindi Ayugistia Fatriansari, Asih Fitriyana Fitriyana, Fitriyana Fitriyati, Fitriyati Gama, Sabaniah Indjar Hanis Kusumawati Rahayu Iju, Sesilia Karolina Jamil Anshory Junaidin, Junaidin Leny Eka Tyas Wahyuni Leny Eka Tyas Wahyuni Lia Kurniasari Linda F., Noor Mahmudah, Febria Mardiana Mardiana Maria Elvina Tresia Butar-Butar Maxianus K. Raya Nainggolan, Angel Natalia Nastitie Cinintya Nurzihan Nastitie Cinintya Nurzihan Nisaa, Nur Rezky Khairun Nurillahi Febria Leswana Nurul Afiah Onny Ziasti Fricillia Ratih Wirapuspita Wisnuwardani Riska Mayang Saputri G Ryan, Adhe Septa Sabarinah Sabarinah Simanullang, Raymon Siregar, Vita Olivia Taufiqurrahman, Muh Ummi Khuzaimah Wahyuni, Leny Eka Tyas Yanuarti, Gita