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All Journal Jurnal Sain Veteriner Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Jurnal Teknologi Informasi dan Ilmu Komputer Biomedika Majalah Obat Tradisional The Indonesian Biomedical Journal Indonesian Journal of Chemistry Communications in Science and Technology GANEC SWARA Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education JURNAL ANALIS LABORATORIUM MEDIK Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Jurnal Literasi Pendidikan Fisika (JLPF) Jurnal Algoritma Engagement: Jurnal Pengabdian Kepada Masyarakat
Rina Susilowati
Department Of Histology And Cell Biology, Faculty Of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Dentistry Education Engineering Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary

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Ujian Praktikum Histologi dengan Tayangan Foto Menghasilkan Skor yang Lebih Tinggi Rina Susilowati; Jajah Fachiroh; Andwi Ari Sumiwi
Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education Vol 5, No 2 (2016): JULI
Publisher : Asosiasi Institusi Pendidikan Kedokteran Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (249.428 KB) | DOI: 10.22146/jpki.25322

Abstract

Background: Since 2003, Histology practical session in Faculty of Medicine Universitas Gadjah Mada as well as its assessment had been subjected into several changes, i.e. methods of practical asessment and the usage of practical session score as block score components. Score of practical session assessments has been used as marker of student’s achievement in mastering the learning objectives. This study compared practical session score of Histology practical assessment between student from batch 2003-2006, 2007-2010 and 2011-2012, in order to determine which method give highest student achievement.Method: Score of histology practical assessment from 3 groups of medical students were obtained from the archive. The data was reported as mean±SD and number distribution of the students with score ≥60. The difference between groups was analyzed using t-test and chi-square. Results: There were 2213 students included in this study, i.e. 735 of year 2003-2006 (microscope-based test, score used as component of block score), 920 of  year 2007-2010 (microscope-based test, score not used as component of block score), and 558 of year 2011-2012 (micrograph-based test, score was used as component of block score).  Mean score for each group were 76,83±7,40; 74,54±14,40; dan 83,47±9,02, respectively. Percentage of students with score ≥60 were 83,59%, 73%, dan 97,49%.  There were significant difference between groups (P<0.0001). Conclusion: Score of histology practical assessment was higher in students tested with micrographs visualized by projector. The percentage of students with score ≥60 was higher when the score was used as component of block score. 
Molecular Docking Analysis of Ginger Active Compound on Transient Receptor Potential Cation Channel Subfamily V Member 1 (TRPV1) Fifteen Aprila Fajrin; Agung Endro Nugroho; Rina Susilowati; Arief Nurrochmad
Indonesian Journal of Chemistry Vol 18, No 1 (2018)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.623 KB) | DOI: 10.22146/ijc.28172

Abstract

Ginger had been reported to ameliorate painful diabetic neuropathy (PDN) in an animal model. Gingerol and shogaol were active compounds of ginger that potentially act on transient receptor potential cation channel subfamily V member 1 (TRPV1), a key receptor in PDN. This study aims to predict the binding of gingerol and shogaol to TRPV1 using an in silico model. The ligands of the docking study were 3 chemical compounds of each gingerol and shogaol, i.e. 6-shogaol, 8-shogaol, 10-shogaol, 6-gingerol, 8 gingerol and 10-gingerol. Capsaicin, a TRPV1 agonist, was used as a native ligand. The TRPV1 structure was taken from Protein Data Bank (ID 3J9J). The docking analysis was performed using Autodock Vina. The result showed that among the ginger active compounds, 6-shogaol had the strongest binding energy (-7.10 kcal/mol) to TRPV1. The 6-shogaol lacked the potential hydrogen bond to Ile265 of TRPV1 protein, which capsacin had. However, it's binding energy towards TRPV1 was not significantly different compared to capsaicin. Therefore, 6-shogaol had potential to be developed as a treatment for PDN.
Number of natural killer cells and cytokine levels in peripheral blood at various degrees of severity Devita, Ninda; Arjana, Adika Zhulhi; Intansari, Umi Solekhah; Susilowati, Rina
Communications in Science and Technology Vol 8 No 1 (2023)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.8.1.2023.1106

Abstract

This study aims to investigate NK cell number and cytokines level in various degrees of severity in COVID-19 cases. A total of 63 COVID-19 patient aged >18 y were divided into mild-moderate and severe-critical groups. Patient characteristics and peripheral blood count were obtained from medical records. NK cells number, levels of IFN-?, IL-10, and IL-12 in peripheral blood were examined by means of flow cytometry. The severe-critical group had leukocytosis, neutrophilia, lymphopenia, higher Neutrophil Lymphocyte Ratio, lower NK cell number and higher level of IL-10. In severe-critical group, those aged >60 years had higher IL-10. In both groups, patients with diabetes comorbidities had a higher number of NK cells (p<0.05). NK cell number and IL-10 in peripheral blood have potential as a predictor of severe COVID-19 patients.
ANALISIS KEMAMPUAN MEMAHAMI MASALAH MATEMATIKA PADA SOAL CERITA DITINJAU DARI GAYA BERPIKIR SEKUENSIAL KONKRET YULIANI, ASKA MUTA; SAPUTRA, ADI; SUSILOWATI, RINA
GANEC SWARA Vol 17, No 4 (2023): Desember 2023
Publisher : Universitas Mahasaraswati K. Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35327/gara.v17i4.670

Abstract

This research aims to analyze how students' ability to understand problems in story problems is seen from the concrete sequential thinking (SK) style. The research subjects consisted of three class VII students at SMPN 5 Moyo Hilir who had a concrete sequential thinking style that came from their respective abilities in understanding low, medium, and high categories of mathematical problems. The research approach used is descriptive qualitative with data collection methods including questionnaires, tests, and interviews. Questionnaires are used to classify students' thinking styles. Students who fall into the SK thinking style category are given a written test to determine their ability to understand students' problems. Written test results are confirmed through interviews with students. The research results showed that students with a high and moderate ability to understand problems answered questions systematically and in detail according to the characteristics of SK's thinking style. Students with a high ability to understand problems can determine each element that is known and ask about the problem precisely and clearly. Students with the ability to understand the problem still have writing errors but can understand the problem correctly. Students with a low ability to understand problems are not able to understand all the questions correctly due to a lack of understanding of concepts related to social arithmetic material. The process of problem solving is not systematic and irregular, so it does not match the characteristics of a concrete, sequential thinking style.
Interactive Physics Learning Innovation Using Solar System Scope to Understand Solar System Material Widyaningtyas, Febrina Siska; Santoso, Fendi; Wibowo, Ghina Tamima; Susilowati, Rina; Agustin, Vita
Jurnal Literasi Pendidikan Fisika (JLPF) Vol. 6 No. 1 (2025): April
Publisher : Program Studi Pendidikan Fisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jlpf.v6i1.4674

Abstract

Physics learning is considered challenging because it involves abstract concepts that are difficult for students to understand, for example the material on the solar system. Interactive learning innovations use the Solar System Scope application as an effective learning medium in understanding the concept of the solar system. This study aims to describe the use of interactive web technology such as Solar System Scope as a learning medium for the solar system in class VI of Public Elementary School Suryodiningratan 3. The research approach uses qualitative descriptive with data collection techniques in the form of observation, interviews, and documentation. The results of the study showed that students were interested and found it easier to understand the material on the solar system. This innovation increases interest in learning, makes it easier to understand physics concepts, and encourages active student involvement in the learning process. The use of 3D visualization, interactive simulations, and exploration features allows students to learn the structure, motion, and characteristics of planets and the solar system in an interesting and amazing way. This innovation is expected to be an effective solution in supporting more modern and relevant physics learning.
Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram Emhandyksa, Medycha; Soesanti, Indah; Susilowati, Rina
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 6: Desember 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107382

Abstract

Prevalensi komplikasi kaki diabetik secara global mencapai 66% dengan resiko amputasi 20 kali lebih tinggi pada pasien diabetes mellitus. Tindakan pencegahan melalui deteksi dini komplikasi kaki diabetik mutlak dilakukan untuk meminimalisasi resiko amputasi. Penelitian sebelumnya menunjukkan validitas dan akurasi yang tinggi (mencapai 100%) dari sistem deteksi dini komplikasi kaki diabetik menggunakan termografi berbasis kecerdasan buatan. Namun sebagian besar penelitian tersebut terlalu berfokus pada peningkatan performa dan tidak memperhatikan aspek biaya komputasi yang berperan penting pada proses deployment model. Pada penelitian ini dirancang empat model deep convolutional neural network dengan prinsip Occam’s razor melalui pengaturan hyperparameter pada aspek struktur algoritma berupa jumah layer dan aspek optimasi berupa tipe optimizer. Penelitian bertujuan mengembangkan algoritma deep convolutional neural network untuk menghasilkan sistem deteksi dini komplikasi kaki diabetik dengan biaya komputasi terendah (jumlah parameter paling sedikit) dan mempertahankan kemampuan deteksi tetap tinggi (nilai rata-rata parameter evaluasi tertinggi). Data yang digunakan merupakan data primer berupa citra termogram telapak kaki dari RSUP. Dr. Sardjito Yogyakarta yang terdiri dari 20 subjek diabetes mellitus dan 20 subjek kontrol (sehat). Pengambilan data primer dilakukan menggunakan kamera thermal merek HIKMICRO B20 dengan resolusi inframerah 256x192 yang telah memenuhi standar internasional (IACT) untuk menghasilkan citra termogram dua dimensi. Hasil penelitian menunjukkan model 4 dengan Adam optimizer dan pengaturan hyperparameter tertentu merupakan model terbaik dengan jumlah parameter model paling sedikit yaitu 1.570.594 juta dan nilai rata-rata parameter evaluasi tetap tinggi sebesar 96%. Selain arsitektur deep convolutional neural network model 4, kontribusi penelitian yang didapatkan dari penelitian ini adalah penggunaan variasi ukuran filter 3x3, 2x2, dan 1x1 dengan jumlah convolutional layer yang tetap dan pengurangan jumlah hidden layer pada struktur algoritma mampu menurunkan jumlah parameter model dengan tetap mempertahankan kemampuan deteksi yang tinggi. Selain itu penelitian yang dilakukan merupakan penelitian pembuka atau pendahuluan mengenai perancangan sistem deteksi dini komplikasi kaki diabetik menggunakan termografi berbasis kecerdasan buatan deep learning di Indonesia.   Abstract The prevalence of diabetic foot complications globally reaches 66% with a 20 times higher risk of amputation in patients with diabetes mellitus. Preventive measures through early detection of diabetic foot complications are necessary to minimize the risk of amputation. Previous studies have shown high validity and accuracy (up to 100%) of the early detection system of diabetic foot complications using artificial intelligence-based thermography. However, most of these studies focused too much on improving performance and did not pay attention to the computational cost aspect. In this study, four deep convolutional neural network models were designed with Occam's razor principle through hyperparameter settings on the algorithm structure aspect in the form of number of layers and optimization aspect in the form of optimizer type. The research aims to develop a deep convolutional neural network algorithm to produce an early detection system for diabetic foot complications with the lowest computational cost (least number of parameters) and maintain high detection capability (highest average value of evaluation parameters). The data used is primary data in the form of foot thermogram images from the General Hospital. Dr. Sardjito Yogyakarta consisting of 20 diabetes mellitus subjects and 20 control (healthy) subjects. Primary data collection was carried out using a thermal camera brand HIKMICRO B20 with 256x192 infrared resolution that has met international standards (IACT) to produce a two-dimensional color thermogram image. The results show that model 4 with Adam optimizer and certain hyperparameter settings is the best model with the least number of model parameters, namely 1,570,594 million and the average value of evaluation parameters remains high at 96%. In addition to the deep convolutional neural network architecture model 4, the research contribution obtained from this research is the use of filter size variations of 3x3, 2x2, and 1x1 with a fixed number of convolutional layers and a reduction in the number of hidden layers in the algorithm structure can reduce the number of model parameters while maintaining high detection capability. In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia.
Penerapan Transformer-Based Neural Machine Translation untuk Bahasa Bima Julkarnain, M; Mardinata, Erwin; Susilowati, Rina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2949

Abstract

The Bima language is one of the regional languages in Indonesia that still lacks support in natural language processing technology. The application of Transformer architecture for regional languages has not been widely researched, especially for the Bima language. This study aims to develop an automatic translation system from Bima to Indonesian using a Transformer-Based Neural Machine Translation (NMT) approach. The methods used include the collection and processing of parallel corpora, training NMT models using the OpenNMT framework, and evaluating translation results using metrics such as BLEU and TER. The data used will be collected from various sources, including manually translated texts by linguists and available local documents. The model evaluation results indicate that the model was successfully developed and can translate sentences well. This approach is expected to become the foundation for the development of automatic translation technology for other regional languages in Indonesia, while also contributing to the preservation and digitization of local languages through artificial intelligence technology.
PENGARUH MASA PENYIMPANAN SAMPEL WHOLE BLOOD DAN BUFFY COAT DARAH TIKUS TERHADAP KUANTITAS DAN INTEGRITAS RNA Winarti, Retno; Ramadhani Nurhidayat, Annisa; Purnomosari, Dewajani; Suhda, Saihas; Susilowati, Rina
Jurnal Analis Laboratorium Medik Vol 10 No 2 (2025): Jurnal Analis Laboratorium Medik
Publisher : UNIVERSITAS SARI MUTIARA INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jalm.v10i2.6410

Abstract

Latar belakang: Whole blood dan buffy coat merupakan dua sumber sampel yang sering digunakan dalam penelitian molekuler. Namun, kualitas RNA yang dihasilkan seringkali kurang memuaskan. Faktor yang diperkirakan dapat mempengaruhi kualitas RNA adalah jenis sampel dan kondisi penyimpanan. Tujuan: untuk mengetahui pengaruh masa penyimpanan sampel whole blood dan buffy coat terhadap kuantitas dan integritas RNA, membandingkan kedua tipe sampel. Sampel darah dari tikus Sprague dawley umur 3 bulan diambil melalui sinus retro-orbitalis dan cardiac punture lalu dipisahkan sebagai whole blood dan buffy coat dan disimpan pada suhu −80°C selama 1 hari, 1 minggu, 1 bulan, dan 3 bulan. RNA diisolasi menggunakan kit Quick-RNA Miniprep Plus Zymo dan diperiksa konsentrasi serta kemurniannya dengan spektrofotometer (A260/A230 dan A260/A280). Integritas RNA diperiksa dengan elektroforesis agarose dan dibaca menggunakan Gel Doc. Metode: Data dianalisis menggunakan uji Two-way ANOVA. Analisis menunjukkan bahwa tipe sampel merupakan faktor utama yang mempengaruhi kuantitas dan integritas RNA. Hasil: Buffy coat menghasilkan konsentrasi RNA yang lebih tinggi dibanding whole blood (p < 0,0001). Faktor lama penyimpanan hingga 3 bulan pada suhu −80°C tidak mempengaruhi konsentrasi RNA pada kedua jenis sampel. Integritas RNA buffy coat lebih baik dibandingkan whole blood. Kesimpulan: Hal ini ditunjukkan oleh hasil elektroforesis pita RNA buffy coat yang lebih jelas dan konsisten. Masa penyimpanan buffy coat dan whole blood pada suhu −80°C sampai dengan 3 bulan tidak mempengaruhi kuantitas dan kemurnian RNA, namun mempengaruhi kualitas RNA.
Addressing Disparities in Clean and Healthy Living Behaviors through Targeted Health Education in a Rural Community Widodo, Irianiwati; Rinonce, Hanggoro Tri; Asysyifa, Azzahra; Syarifa, Cut Alima; Sabila, Aflifia Birruni; Nurrahma, Bira Arumndari; Farmawati, Arta; Sari, Dwi Cahyani Ratna; Nugrahaningsih, Dwi Aris Agung; Jaya, Sudi Indra; Sholikhah, Eti Nurwening; Rizal, Dicky Moch; Susilowati, Rina; Nuryastuti, Titik; Murhandarwati, E. Elsa Herdiana; Triyono, Teguh; Ratnaningsih, Tri
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 1 (2026): February 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i1.2043

Abstract

Background: This study addresses the public health issue of community hygiene and wellness by focusing on the Clean and Healthy Lifestyle Behavior (CHLB) as a key parameter. The subject of the assessment is the community of Sompok Hamlet, Bantul, with the purpose of evaluating the implementation of CHLB within households to understand areas of strength and needed improvement. Purpose of the Study: The purpose is to assess the level of CHLB implementation in Sompok Hamlet. The objective is to measure household compliance across various CHLB indicators and identify specific behavioral gaps that require targeted intervention. Methods: The study employed a cross-sectional survey design conducted in 2023. Data were collected from 202 households across seven neighborhood units (RT) using a structured questionnaire to evaluate compliance with standard CHLB indicators. Results: The results showed that 68.3% of households met the criteria for independent healthy communities. High compliance was observed in indicators like access to clean water, sanitation, exclusive breastfeeding, and toddler weighing. However, significant gaps were identified in physical activity (71.3% low compliance) and indoor smoking practices (64% low compliance). Practices related to fruit/vegetable consumption, handwashing, and larva elimination showed varied results. The findings highlight the need for focused educational programs to address these specific behavioral deficiencies to promote sustainable community health.
Co-Authors Adi Saputra Adika Zhulhi Arjana Aflifia Birruni Sabila Agung Endro Nugroho Agung Endro Nugroho Agustin, Vita Ahmad Hamim Sadewa Anak Agung Istri Sri Wiadnyani Andwi Ari Sumiwi Arief Nurrochmad Arta Farmawati Asysyifa, Azzahra Christine Ayu Lagonda David Pakaya Dewajani Purnomosari Dewajani Purnomosari, Dewajani Dewi Kartikawati Paramita Dian Caturini Sulistyonigrum Dian Eurike Septyaningtrias Dicky Moch Rizal Dicky Moch Rizal Dilafitria Fauza Dwi Aris Agung Nugrahaningsih Dwi Cahyani Ratna Sari E. Elsa Herdiana Murhandarwati Elizabeth Henny Herningtyas Emhandyksa, Medycha Emy Huriyati Eti Nurwening Sholikhah Fajar Shodiq Permata Fifteen Aprila Fajrin Ginus Partadiredja Hanggoro Tri Rinonce Ignatius Ryan Adriawan Ignatius Ryan Adriawan, Ignatius Ryan Indah Soesanti Jajah Fachiroh Jajah Fachiroh, Jajah Jaya, Sudi Indra Julkarnain, M Mardinata, Erwin Mohamad Andrie Muhammad Ghufron Muhammad Mirandy Pratama Sirat Ninda Devita, Ninda Nurrahma, Bira Arumndari Pipin Dwi Kartikasari Ramadhani Nurhidayat, Annisa Ratih Feraritra Danu Atmaja Rini Dharmastiti Santoso, Fendi Satrio Wicaksono Suhda, Saihas Suwidjiyo Pramono Suwidjiyo Pramono Syarifa, Cut Alima Teguh Triyono Titik Nuryastuti Tri Ratnaningsih Umi S. Intansari Ida Savitri Laksanawati Veronika Maria Sidharta Wibowo, Ghina Tamima Widodo, Irianiwati Widyaningtyas, Febrina Siska Winarti, Retno Wiwit Setyowati Yuliani, Aska Muta Yuyus Kusnadi