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All Journal Jurnal Biosains Pascasarjana Indonesian Journal of Tropical and Infectious Disease Dental Journal (Majalah Kedokteran Gigi) Journal of Health (JoH) Journal Of Vocational Health Studies Jurnal Pengabdian Magister Pendidikan IPA Indonesian Journal of Electrical Engineering and Computer Science Indonesian Applied Physics Letters Berkala Penelitian Hayati Medika Respati : Jurnal Ilmiah Kesehatan MOSIRAHA : Jurnal Pengabdian Farmasi Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Suryani Dyah Astuti
Departemen Fisika, Fakultas Sains Dan Teknologi, Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health

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Electronic Nose (E-Nose) for Quality Detection of Tuna (Thunnus thynnus) Contaminated Bacteria Astuti, Suryani Dyah; Muhamad, Alfian Baggraf; Rahmatillah, Akif; Yaqubi, Ahmad Khalil; Susilo, Yunus; Aji , Angger Krisna
Indonesian Journal of Tropical and Infectious Disease Vol. 11 No. 1 (2023)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijtid.v11i1.39206

Abstract

Tuna (Thunnus thynnus) is a food that is often consumed raw to support raw food diet activities, so it has the potential to be contaminated with Salmonella typhi bacteria. Fish can be contaminated by bacteria due to their high water and protein content. Indonesia is the world's main tuna producer. Salmonella typhi detection in fresh tuna in Indonesia must be negative for Salmonella microbial contamination in order to meet food safety requirements. Microbial testing has drawbacks, such as long delays. An electronic nose was used to detect Salmonella typhi bacteria in tuna fish. The sample used consisted of 3 kinds of samples: Salmonella typhi bacteria, tuna, and tuna with Salmonella typhi contamination. The research was conducted with a shelf life of 48 hours and a sensing period every 6 hours with a sensor array of 8 sensors. The sensor output data is processed using the PCA (Principal Component Analysis) method. Through the PCA method, each variation of bacterial treatment can be classified. The result of the cumulative percentage variance of the two main components (PC) in the classification test between Salmonella typhi, tuna, and tuna with Salmonella typhi bacteria contamination was 90.5%. The most influential sensors in this study are TGS 825 for PC1 with a loading value of 0.625 and TGS 826 for PC2 with a loading value of -0.753. Therefore, it can be concluded that an electronic nose can classify between pure tuna and tuna contaminated with Salmonella typhi bacteria.
ACUPUNCTURE AND JIANGHUANG HERBS TREATMENT IN ACNE WITH DAMNESS SYNDROME Agesti, Dyah; Astuti, Suryani Dyah; Mustika, Arifa
Journal of Vocational Health Studies Vol. 4 No. 1 (2020): July 2020 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V4.I1.2020.15-20

Abstract

Background : Acne vulgaris is a chronic skin disease that occurs due to chronic inflammation of the pilosebaceous glands. Acne is clinically affected by an increase in sebum, Propionibacterium bacteria acne, hormones, genetic, stress, diet and the environment. In Chinese Medicine, acne vulgaris belongs to categories of Feng Ci, it is caused by wind-heat pathogens that attack the lungs and excessive consumption of spicy and oily foods resulting in accumulation of heat in the stomach and intestines. In Chinese Medicine, sebaceous glands are associated with the Lung and Spleen. Patients classified as acne with differentiation of accumulation of phlegm syndrome. Purpose: To know the effect of acupuncture therapy at LI-4 Hegu, ST-36 Zusanli , ST-40 Fenglong, SP-6 Sanyinjiao and herbal therapy using Jianghuang in patients Acne vulgaris with differentiation of accumulation of phlegm syndrome. Method: Acupuncture therapy at LI-4 Hegu, ST-36 Zusanli , ST-40 Fenglong, SP-6 Sanyinjiao were given 12 times, 3 times a week, with the principle of therapy to reinforce phlegm, strengthen the spleen and raise the spleen. In herbal therapy the patient is given herbal Jianghuang (Curcuma longa.L) dose of 3 grams 12 times, 3 times a week. Result: Compound of curcumin which is antibacterial, anti-inflammatory, antioxidant and wound healing affects acne. Acupuncture and herbal therapy given 12 times, 3 times a week can overcome acne vulgaris. Conclusion: Acupuncture and herbal therapy can overcome the growth of acne.
Alzheimer’s prediction via CNN-SVM on chatbot platform with MRI Kadafi, Muhammad Syaekar; Yaqubi, Ahmad Khalil; Purbandini, Purbandini; Astuti, Suryani Dyah
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp64-73

Abstract

Artificial intelligence (AI), consisting of models and algorithms capable of concluding data to produce future predictions, has revolutionary potential in various aspects of human life. One application is an Alzheimer’s disease (AD) prediction chat robot (chatbot). Only now has a method provided very accurate findings and recommendations regarding the early detection of AD using magnetic resonance imaging (MRI). Therefore, this research aims to measure AD prediction performance in four stage classes, namely very mild demented, mild demented, moderate demented, and non-demented, using brain MRI images trained in the convolutional neural network (CNN)- support vector machine (SVM) model. The research involved nine combination schemes of dataset proportions and preprocessing in the CNNSVM model. Evaluation shows that scheme 1 produces the highest accuracy, precision, recall, and F1-score, namely 98%, 99%, 98%, and 98%. The chatbot, trained using CNN, achieved 99.34% accuracy in question responses, and was then combined with AD prediction models for improved accuracy. The test results show that the chatbot functionality runs well for each transition, with a functionality score reaching 99.64 points out of 100.00. This success shows excellent potential for early detection of AD. This research brings new hope in preventing AD through AI, with potential positive impacts on human health and quality of life.
Inovasi Teknologi Terapi Skinolaser Untuk Mempercepat Penyembuhan Luka Dan Meningkatkan Pelayanan di Puskesmas Polanharjo Klaten Jawa Tengah Astuti, Suryani Dyah; Suhariningsih; Winarno; Ain, Khusnul; Siswanto; Susilo, Yunus; Yonatan; Permatasari, Perwira Annissa Dyah; Alma, Ahmad Faizin; Rohman, Muchammad Nurur; Arifianto, Deny; Yaqubi, Ahmad Khalil
Jurnal Pengabdian Magister Pendidikan IPA Vol 7 No 4 (2024): Oktober-Desember 2024
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v7i4.8625

Abstract

Mutu pelayanan kesehatan mempunyai dampak yang besar terhadap keadaan kesehatan masyarakat secara umum. Peningkatan standar layanan kesehatan diharapkan akan meningkatkan standar kesehatan. Baik tenaga kesehatan maupun tenaga kesehatan tradisional mengalami kurangnya pemahaman tentang penggunaan alat kesehatan, khususnya alat terapi SkinoLaser, yang merupakan alat pengobatan non-invasif berbasis fotonik yang membantu membangun kembali jaringan dalam tubuh manusia. Tenaga kesehatan tradisional dapat ditemukan di sebagian besar fasilitas kesehatan. Hambatan kedua adalah memahami bagaimana terapi cahaya berfungsi dengan jaringan, faktor-faktor yang mempengaruhi hasil pengobatan, dan cara memberikan dosis yang aman dan efektif kepada pasien. Permasalahan ini juga dihadapi oleh mitra pengabdian masyarakat yang mana tenaga kesehatan dan tenaga kesehatan traditional Puskesmas Polanharjo Kecamatan Polanharjo Kabupaten Klaten Jawa Tengah. Sebagai bagian dari rangkaian acara pengabdian masyarakat, pemaparan materi SkinoLaser dilakukan secara interaktif dengan peserta yang merupakan tenaga kesehatan dan tenaga kesehatan traditional di Puskesmas Polanharjo. Metode ceramah digunakan untuk menyampaikan materi berupa konsep dasar, faktor – faktor yang mempengaruhi efektivitas terapi antara lain : cara penggunaan alat laser terapi , serta penghitungan dosis laser. Diskusi digunakan untuk tanya jawab antara peserta nakes dan nakestrad dengan pemateri yang berkaitan dengan pemanfaatan teknologi tepat guna. Pelatihan digunakan untuk menunjukan secara langsung pemanfaatan teknologi tepat guna. Pelatihan dapat dimulai dari analisis masalah, penggunaan alat serta penghitungan dosis energi laser dan penatalaksanaan terapi yang benar. Workshop dan tutorial digunakan untuk mendemonstrasikan alat sebagai upaya pemahaman pemanfaatan alat SkinoLaser. Selain itu juga dilaksanaan uji coba terapi pada pasien, untuk memberikan pemahaman dan ketrampilan pada nakes dan nakestrad dalam penggunaan peralatan SkinoLaser.
Red Laser-Activated Silver Nanoparticles from Green Synthesis Extract of Butterfly Pea for Antimicrobial Photodynamic Therapy Against Staphylococcus aureus Astuti, Suryani Dyah; Farhah, Ghinaa Rihadatul Aisy; Salwa, Umaimah Mitsalia Ummi; Aisya, Rohadatul; Zaidan, Andi Hamim; Yaqubi, Ahmad Khalil
Indonesian Journal of Tropical and Infectious Disease Vol. 12 No. 3 (2024)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijtid.v12i3.62884

Abstract

This study investigated the potential of photodynamic therapy (PDT) using green-synthesized silver nanoparticles (AgNPs) derived from butterfly pea extract (Clitoria ternatea L.) to combat Staphylococcus aureus (S. aureus). The use of a red diode laser as a method for enhancing the antimicrobial activity of AgNPs presents a novel approach to treating bacterial infections.  The red diode laser is crucial, as it activates the AgNPs, enhancing their antimicrobial properties. This combination of light, natural extract, and nanoparticles underscores the innovative approach of using PDT in treating bacterial infections. By integrating these elements, the study aims to provide insights into effective, biocompatible treatments for antibiotic-resistant bacteria.  The primary objective of this study is to synthesize and characterize AgNPs using butterfly pea extract and evaluate their effectiveness against S. aureus when combined with red laser irradiation.  Silver nanoparticles were synthesized using an environmentally friendly method that processes butterfly pea extract as the reducing agent for the synthesis of the nanoparticles.  Using UV-Vis spectrophotometry to track the creation of silver nanoparticles (AgNPs), it was determined that the butterfly pea extract was an effective source of nanoparticles. The particle size distribution and peak absorbance wavelength were determined by characterization utilizing a Particle Size Analyzer (PSA). Tryptic soy agar (TSA) plates were used to investigate the antibacterial activity of AgNPs against Staphylococcus aureus (S. aureus). The effectiveness of photoinactivation against S. aureus was evaluated by exposing AgNPs at a concentration of 1 mM to a red diode laser for 90 seconds. The results showed that the produced AgNPs had potential antibacterial capabilities when combined with red light therapy. The results demonstrated that the synthesized silver nanoparticles can effectively kill or inhibit the growth of Staphylococcus aureus (S. aureus) when exposed to a red diode laser for 90 seconds. The findings suggest that photodynamic therapy using green-synthesized AgNPs and red laser irradiation could be a promising approach to controlling bacterial infections like S. aureus. Further research is recommended to explore the underlying mechanisms of photoinactivation and to optimize treatment parameters for in vivo applications on experimental animals.
Pomegranate-peel-chitosan-gelatin composite: A hemostatic dental sponge with antibacterial enhancement Rozykulyyeva, Lale; Widiyanti, Prihartini; Astuti, Suryani Dyah
Dental Journal (Majalah Kedokteran Gigi) Vol. 58 No. 2 (2025): June
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/j.djmkg.v58.i2.p171-179

Abstract

Background: Effective post-tooth extraction bleeding management and the alleviation of patient discomfort hinge upon the careful choice and judicious application of suitable hemostatic agents. Purpose: In this study, we developed a biodegradable, porous hemostatic sponge composed of gelatin (GE) and chitosan (CS), enhanced by the incorporation of pomegranate peel extract (PE), which was designed for use in dental applications, with a focus on antibacterial properties and infection prevention. Methods: The sponge was synthesized using an environmentally friendly (green) foaming approach without a foaming agent and was fabricated by freeze-drying. The efficiency of the hemostatic sponge was evaluated using various tests, including structural analysis, mechanical strength, water absorption capacity, hydrophilicity, blood clotting time (BCT), in vitro antibacterial effectiveness, and biodegradability. Results: The calcium chloride–crosslinked CS-GE and PE-immersed (CS-GE-PE) sponges exhibited adequate tensile strengths, with CS-GE-PE at 0.776 ± 0.025 MPa. The CS-GE-PE sponge showed significant water absorption (927.1% ± 37.55%). Hydrophilicity was evident (contact angle: 45°) and decreased slightly with the addition of PE. The BCT was shorter for the CS-GE sponge (161 ± 9.644 s), and both sponges exhibited minimal hemolysis, indicating biocompatibility. The CS-GE-PE sponge exhibited slightly enhanced antibacterial properties. Conclusion: This study has successfully developed a composite sponge consisting of CS, GE, and PE that exhibits a balanced level of biodegradability, antibacterial and anti-inflammatory properties, and blood absorption properties that reduce clotting time. This innovative material has great potential for a wide range of clinical applications in dental procedures and wound care.
THE EFFECT OF LED MAGNETIC ON STAPHYLOCOCCUS AUREUS BACTERIA Yonatan; Astuti, Suryani Dyah; Ain, Khusnul; Arifianto, Deni; Yaqubi, Ahmad Khalil
Jurnal Biosains Pascasarjana Vol. 27 No. 1 (2025): JURNAL BIOSAINS PASCASARJANA
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbp.v27i1.2025.25-31

Abstract

Nosocomial infections, caused by viruses, bacteria, and fungal pathogens, often occur during treatment in health facilities due to cross-contamination from healthcare workers or medical equipment. The study explores the efficacy of static magnetic fields and photodynamic inactivation in inactivating Staphylococcus aureus bacteria, a crucial step in sterilization. The study used high-power blue LEDs and static magnetic fields generated by neodymium magnets. The highest reduction percentage observed was 81.92 ± 7.92%, found in the combination treatment of static magnetic fields (SMF) with LED illumination at the F8 microplate location, with a treatment time of 40 minutes, an LED dose of 11.72 J/cm², and a magnetic field dose of 25.61 mT. The lowest reduction percentage, 52.41 ± 7.64%, was observed at the F8 microplate location with a treatment time of 10 minutes, an LED dose of 2.93 J/cm², and a magnetic field dose of 25.61 mT.
Application Of Electrical Impedance Tomography For Detecting Meat (Body Tissue): A Study On Frequency And Amplitude Variations Rohadatul Aisya; Syifa Candiki Samatha; Khusnul Ain; Suryani Dyah Astuti
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 2 (2025): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i2.54

Abstract

Electrical Impedance Tomography (EIT) is an emerging non-invasive imaging technique with significant potential for detecting tissue anomalies; however, its performance is highly sensitive to variations in the frequency and amplitude of the injected electrical signals, which can lead to challenges in accurately differentiating between tissue types and detecting subtle pathological changes. This study aims to optimize EIT performance by systematically investigating the impact of signal frequency and amplitude on image reconstruction quality, thereby enhancing diagnostic accuracy. A portable multi-frequency EIT system was developed using Analog Discovery 2 and MATLAB, featuring a 16-electrode configuration arranged evenly around a tissue phantom, with beef tissue serving as an analog for human tissue due to its comparable conductivity properties. The experimental protocol varied signal amplitudes from 0.4 mA to 1.0 mA and frequencies from 50 kHz to 120 kHz, while two reconstruction algorithms the Gauss-Newton method and the GREIT algorithm were employed to evaluate image quality. Results demonstrated that the Gauss-Newton method achieved superior image clarity, with an approximate 18% improvement in reconstruction accuracy and a 20% reduction in noise at an optimal setting of 100 kHz frequency and 0.8 mA amplitude. Although the GREIT method provided faster reconstruction times, its lower sensitivity to amplitude variations resulted in less detailed anomaly detection. Overall, these findings underscore the critical importance of optimizing electrical parameters in EIT systems to enhance diagnostic capabilities. Future research should focus on integrating machine learning algorithms for real-time image processing and expanding the evaluation to include diverse tissue models to further improve the clinical applicability and robustness of EIT-based diagnostics.
Co-Authors A. Shofy Mubarak Abdul Rahman Adi Prasetyo Hutomo Agesti, Dyah Ahmad Faizin Alma Ahmad Taufiq Mukti Aisya, Rohadatul Aji , Angger Krisna Akhmad Muzamil Akhmad Muzamil Alma, Ahmad Faizin Amillia Kartika Sari Andi Hamim Zaidan Anem Alimdam Annisa Mayzealuna Arifa Mustika Arifianto, Deni Arifianto, Deny Ario Imandiri Bambang Haris Suharmono Betty Purnamasari, Betty Carissa Alfreda Assyarahil David Buntoro Kamandjaja Djoni Izak R. Dwi May Lestari, Dwi May Dwi setiani Edith Frederika Puruhito, Edith Frederika Endah Purwanti Farhah, Ghinaa Rihadatul Aisy Franky Arisgraha, Franky Hilmaniyya Hilmaniyya Ika Yuni Anggraini Kadafi, Muhammad Syaekar Katherine Khusnul Ain Khusnul Ain Khusnul Ain Lellen Novia Hariono M. Zainuddin Maulia Patmadevi Moh. Yasin Mohammad Zulkarnaen Muhamad, Alfian Baggraf Myrna Adianti Nidaul Fauziah Ni’matuzahroh Nur Vita Indri Nur Vita Indri Astutik Nurul Fitriyah Permatasari, Perwira Annissa Dyah Prihartini Widiyanti Purbandini Soeparman, Purbandini R Arif Wibowo Rahmatillah, Akif Rania Basalamah Reza Destiani Rini Hamsidi Riries Rulaningtyas Rohadatul Aisya Rohman, Muchammad Nurur Rozykulyyeva, Lale Salwa, Umaimah Mitsalia Ummi Samy Bazher Septriana, Maya Siska Arianti Siswanto Soegianto Soelistiono Suhariningsih Suhariningsih Susilo, Yunus Syarahiel Hamdani Syifa Candiki Samatha Tri Anggono Prijo Tri Anggono Prijo, Tri Anggono Vita Arinda Ayu Putri Nata Widya Retnaning Puspita WINARNO Winarno Winarno, Winarno Yaqubi, Ahmad Khalil Yonatan