Article Per Year (5 Year)
p-Index From 2021 - 2026
5.731
P-Index
This Author published in this journals
All Journal Ulul Albab: Jurnal Studi Islam Jurnal Theologia PALASTREN QUALITY ISLAMICA: Jurnal Studi Keislaman Religio : Jurnal Studi Agama-agama Biomedika Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Sistemasi: Jurnal Sistem Informasi SMARTICS Journal Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Pendas : Jurnah Ilmiah Pendidikan Dasar Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ners Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Medfarm: Jurnal Farmasi dan Kesehatan Journal of Mathematics Education and Science Leibniz: Jurnal Matematika Qawanin: Journal of Economic Syaria Law Proceeding ISETH (International Summit on Science, Technology, and Humanity) Tsaqofah: Jurnal Penelitian Guru Indonesia Jurnal Pengabdian Masyarakat Medika International Journal of Business and Applied Economics (IJBAE) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) AL-UMRON: Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Non formal Biomedika Mesada: Journal of Innovative Research TARBAWIYAT: Jurnal Kependidikan Almantiq Journal of Elementary Education Research and Practice
Nur Mahmudah
Sekolah Tinggi Agama Islam Negeri, Kudus
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 56 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 56 Documents
Search

 2   3   4   5   6 
Kejadian Benign Prostatic Hyperplasia Berdasarkan Faktor Kadar Limfosit dan Tempat Tinggal Presmasitha, Bricareira Bara; Kurniati, Yuni Prastyo; Mahmudah, Nur; Triastuti, N. Juni
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.46981

Abstract

Benign prostatic hyperplasia (BPH) is a usually abnormality in elderly men. This study aims to explain the influence between residence factors and lymphocyte levels on the incidence of BPH. This study used an analytic observational research design with a cross sectional approach. The population in this study were medical records of histopathology preparations at the PA Laboratory of PKU Muhammadiyah Surakarta Hospital. The sample in this study was medical records of histopathology preparations with a diagnosis of prostate tumor from 2021 to 2024 using the principle technique of total sampling. The research instruments used in this study were laboratory medical records and medical record units at PKU Muhammadiyah Surakarta Hospital. Data analysis techniques in this study include univariate analysis, bivariate analysis using the Chi Square test, and multivariate test using logistic regression test. The results of this study found that there is a significant influence between residence factors and the incidence of benign prostate hyperplasia (P=0.02; OR=7.00). There is no significant correlation between lymphocyte level (%) and the incidence of benign prostate hyperplasia (P=0.040; OR=0,957). The residence variable has a greater influence on the incidence of benign prostate hyperplasia than the lymphocyte level factor.
Klasifikasi Status Stunting Pada Balita di Kecamatan Singgahan dengan Algoritma Ningrum, Sinta; Barata, Mula Agung; Mahmudah, Nur
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11862

Abstract

Stunting is a chronic health issue that significantly impacts the physical growth and cognitive development of children, particularly in developing countries such as Indonesia. This study aims to classify stunting status among toddlers in the Singgahan District by applying the Support Vector Machine (SVM) algorithm, optimized using Grid Search Cross-Validation. The dataset consists of 642 toddler records with nine attributes representing nutritional and growth conditions. The classification process involves several stages, including data preprocessing, handling data imbalance using the SMOTE method, and model performance evaluation through 5-fold cross-validation. The results show that the SVM algorithm without optimization achieved an accuracy of 69.83%, while optimization with Grid Search Cross-Validation significantly increased the accuracy to 93.33%. These findings indicate that the application of SVM with hyperparameter tuning via Grid Search Cross-Validation is effective in improving classification accuracy for stunting status in toddlers. This research contributes to the use of machine learning in supporting decision-making processes in public health sectors.
Peramalan Penjualan Semen Menggunakan Metode Single Moving Average dan Double Moving Average Yuliana, Nur Lutfi; Santi, Nirma Ceisa; Mahmudah, Nur
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8537

Abstract

UD. Kurnia Makmur is a shop that sells various building materials including cement. Previously, the shop UD. Kurnia Makmur still had difficulty in determining the amount of cement stock that should be provided, UD. Kurnia Makmur often also experiences shortages or excess stock due to the rise and fall of inconsistent market demand. Therefore, a forecasting method is needed that can help make better decisions in estimating the amount of cement stock that must be provided. The method used to predict cement stock in this study is the single moving average and double moving average methods. The purpose of this forecasting study is for the company to know the amount that must be provided according to consumer demand for cement sales and to know the accuracy between the single moving average and double moving average methods. Because the previous journal showed that both methods produced a MAPE of less than 10% where, it can be interpreted that if the MAPE is less than 10% then the forecast is very good. In calculating the accuracy of this study using MAD (Mean Absolute Percentage Error) and MAPE (Mean Absolute Percentage Error) using Microsoft Excel as the calculation tool. After being calculated using Microsoft Excel, the results obtained in the study were MAD of 30.72 and MAPE of 2.0% for the single moving average, while the double moving average produced MAD of 19.0 and MAPE of 1.24%.
The Effect of Boiling Duration on The Antioxidant Activity of Green Mustard (Brassica rapa L.) Prasetya, Landung Wahyu; Wahyuni, Sri; Mahmudah, Nur; Fithriya, Sa’idatul
MEDFARM: Jurnal Farmasi dan Kesehatan Vol 14 No 1 (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.v14i1.546

Abstract

Background: A study stated that one of the contents of green mustard is phenolic which acts as an antioxidant. Antioxidant activity is influenced by the processing method, especially boiling. The duration of boiling can cause damage to antioxidant compounds. Outcome: This study was to determine the effect of the duration of boiling green mustard on the antioxidant activity contained in it. Method: This study used a laboratory experimental method with a post-test only controlled group. Results: The results of testing on fresh green mustard, green mustard boiled for 2-4 minutes showed an increase in IC50 value from 4,414.03E + 48 ppm to 5.3805E + 138 ppm. Green mustard boiled for 6 minutes experienced a decrease in IC50 value from 5.3805E + 138 ppm to 2,505.23E + 45 ppm. The IC50 value of green mustard boiled for 8 minutes increased again to 5,051.02E + 48 ppm. Boiled mustard greens for 10 minutes had a significantly decreased IC50 value to 0.0469 ppm. Conclusion: The effect of the duration of boiling green mustard greens (Brassica rapa L.) on the antioxidant effects contained there in. The duration of boiling green mustard greens (Brassica rapa L.) which has good antioxidant activity in green mustard greens boiled for 10 minutes.Keyword: Green Mustard, Phenolic, Antioxidant, Post Test Only Controlled Group
Implementasi Metode K-Means untuk Rekomendasi Penerima Kartu Indonesia Sehat Desa Katur Irfani, Ulfi; Alawi, Zakki; Mahmudah, Nur
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 5 No. 1 (2025): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v5i1.5524

Abstract

The Healthy Indonesia Card is health insurance that is subsidized by the government for underprivileged people, but the provision of the Healthy Indonesia Card is not evenly distributed, because the selection of recipients of this KIS assistance is done manually. The government must provide adequate health facilities for underprivileged people with health insurance that is right on target. Therefore, this research is a solution for village governments in sorting KIS recipient participants automatically using a system, so that KIS distribution can be even and on target. The method used in this research is the K-Means algorithm which can group residents to recommend recipients of KIS assistance in Katur village. And implementing the K-Means method allows structured processing, resulting in accurate and efficient recommendations. There are 150 data from Katur village residents. And the calculation results from this system, cluster 1 has 90 residents and cluster 2 has 60 residents. With the provisions, cluster 1 is the priority that gets KIS. The conclusion of this research is that the application of the KMeans Clustering algorithm to the recommendation system for Healthy Indonesia Card recipients produces an accuracy of 89.3% and is proven to be effective. This implementation was successful in finding residents who were worthy of receiving KIS assistance.
Klasifikasi Stunting Pada Balita dengan Algoritma Random forest dan Support Vector machine Panigoro, Buyung; Barata, Mula Agung; Mahmudah, Nur
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.904

Abstract

Stunting is a health problem in the world, many factors cause stunting in toddlers, this study aims to compare the performance of the Random forest algorithm and Support Vector machine using a private dataset with a total of 618 toddler data in the Sumberharjo area in February, August 2023-2024. Adding a combination of smote techniques to handle unbalanced data and k-fold Cross-validation. The results showed the Random forest algorithm with a stable accuracy of 95.41% after reaching 94.35%. For the Support Vector machine algorithm, it achieved an accuracy of 81.45% after being smote to 83.06% and the recal decreased to 51.16%. Random forest is more recommended for classifying stunting in toddlers with stable results compared to Support Vector machines.
Implementasi Peramalan Stok Parfum Pada Imshop Parfum dengan Metode Weighted Moving Average Nur’aini, Zulfiana; Santi, Nirma Ceisa; Mahmudah, Nur; Barata, Mula Agung
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.894

Abstract

Humans are social creatures who need to communicate with each other. In this regard, it is necessary to provide comfort in a conversation. To provide this comfort, you can use perfume. Imshop Parfum is a shop that sells various choices of perfume scents, but of the various types of perfumes sold, of course there are perfumes that are the most popular and rarely purchased, this is certainly a problem if the stock of the item runs out or provides too much stock. The purpose of this study is to predict the stock of goods at Imshop Parfum. The method used in this study is the Weighted Moving Average with periods 3 and 5. The forecast results from the perfume study in June 2025 were 215 for period 3, and 212.86 for period 5. MAPE is 1.98% for period 3, and the MAPE value is 2.74% for period 5. It can be concluded that period 3 is the best and most accurate result because it has the smallest MAPE value.
ON COMPUTATIONAL BAYESIAN ORDINAL LOGISTIC REGRESSION LINK FUNCTION IN CASES OF CERVICAL CANCER IN TUBAN Mahmudah, Nur; Anggraini, Fetrika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.064 KB) | DOI: 10.30598/barekengvol16iss3pp909-918

Abstract

Cervical cancer is the most common cancer that causes death in women. This cancer is mainly caused by Human Papilloma Virus (HPV). It is estimated that 52 million of Indonesian women are at risk of having cancer, and 36% of female cancer patients suffer from cervical cancer. This type of cancer cannot be diagnosed immediately as there is several years of pre-malignancy phase; thus, early detection or screening is needed to prevent it from turning into malignant. Pap test as a screening program can detect cancer, precancer, and normal condition. To understand the predicting factors of the test results, a comprehensive mathematical modelling was created using the link function of Bayesian Ordinal Logistic Regression. This study observed several possible factors that may affect Pap test results in Tuban regency, namely Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), Age of First Menstruation (X6), History of Miscarriage (X7), Anemia (X8) and Number of Sexual Partners (X9) . The outcomes indicated that the predicting factors of Pap cervical cancer results are Age (X1), Education (X2), Childbirth Experience (X3), Use of Contraceptives (X4), Menstrual Cycle (X5), and Anemia (X8). In this model, there is an inexplainable error dependency as indicated by the varied constance values of alpha.
REGRESSION OF SURVIVAL DAGUM 3 PARAMETER LINK FUNCTION IN HIV/AIDS PATIENTS IN EAST JAVA Mahmudah, Nur; Ningrum, Ifa Khoiria
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0725-0736

Abstract

AIDS (Acquired Immuno Deficiency Syndrome) is is a symptom of blood cell disease which results in decreased immunity in humans. HIV/AIDS causes a decline in economic productivity, health, and environmental fields, so it needs treatment to reduce the spread of the disease in East Java. The spread of the HIV/AIDS virus is growing rapidly both in terms of region and pattern of spread. Therefore, it is necessary to have policies from the government to prevent the spread of HIV/AIDS through mathematical modeling to determine the actual and comprehensive factors that influence HIV/AIDS care. policies needed to handle and reduce HIV/AIDS in East Java. This study aims to determine the factors that influence the care of people with HIV/AIDS with Survival Regression modeling Dagum 3 Parameter link function. This model uses parameter estimation with a Bayesian analysis approach with the results that the factors that significantly influence the length of HIV/AIDS care in East Java are marital status (X5), absolute CD4 levels (X7), Suffering Stage (X8), Functional State (X9), and Therapy adherence (X10). These results indicate that marital status and condition characteristics of HIV/AIDS sufferers are important information in the socialization program for reducing HIV/AIDS in East Java.
INVESTIGATION OF THE ANTIBACTERIAL EFFICACY OF DERSONO WATER APPLE LEAVES (SYZYGIUM MALACCENSE) AS A SUBSTITUTE THERAPY FOR STREPTOCOCCUS PYOGENES INFECTIONS Rosyidah, Devi Usdiana; Mahmudah, Nur; Fithriyah, Sa’idatul; Sintowati, Retno
Biomedika Vol 17, No 2 (2025): Biomedika August 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/biomedika.v17i2.12007

Abstract

Streptococcus pyogenes caused different illnesses, including pharyngitis and dermatological infections. The Dersono water apple leavesSyzygium malaccense) are recognized for their bioactive ingredients, which may serve as antibacterial agents. This study purpose was to determine the antibacterial potential of ethanol extract and acetone fraction of Syzygium malaccense against Streptococcus pyogenes infection. This research was a laboratory xperiment, a post-test only with control group design. Assessing growth inhibition by measuring the diameter of halo around the well of blood agar plate. Statistical tests using the Sapiro-Wilk test, Lavene test, Kruskal Wallis est and Mann-Whitney test. The study's findings demonstrated that the ethanol extract 25% (11.80 mm) and 50% (16.51) concentrations and acetone fraction of Dersono water apple leaves, at 25% (11.25 mm) and 50% (12.08) concentrations, had strong inhibitory power. The concentrations of 6.25% (8.15 mm) and 12.50% (9.63 mm), the ethanol extract's inhibitory power was superior than the concentrations of 6.25% (4.42 mm) and 12.50% (3.38 mm) acetone fraction, had moderate range. Both the ethanol extract and the acetone fraction's phytochemical analyses identified alkaloids, tannins, and saponins. The conclusion was ethanol extract and acetate fraction of Dersono water apple leaves have antibacterial effects against Streptococcus pyogenes.
Co-Authors Aji, Oetari Zakiyah Anam, Khurul Andang Saehu, Andang Anika Candrasari Audytra, Hastie Ayu, Rakyan Wening Puspa Azzahro, Fatimah A’dilah, Anis Afkar Bakhrudin All Habsy, Bakhrudin All Burhanudin Dayanti, Fifi Devi Usdiana Rosyidah Dewajani Purnomosari, Dewajani Dewi, Sri Kumala Em Sutrisna Erika Diana Risanti Erna Herawati, Erna Fadhilla, Hana Faj’riati, Nur Alfi Khoirul Fauzi, Favian Arriella Shabri Ikmal Fetrika Anggraini, Fetrika Findawan, Geofany Hargi Fithriya, Sa’idatul Fithriyah, Sa’idatul Flora Ramona Sigit Prakoeswa Gewab, Bima Tirta Pradana Ajie Habsy, Bakhrudin Al hanifah, zulfa nur Hart, A’Ang Yuanita Hendarsyah, Tantra Pratama Ifa Khoiria Ningrum Irfani, Ulfi Islahuddin, Islahuddin Jauhara Rana Budiani, Jauhara Rana Kartikasari, Dea Dwi Kartini, Alif Yuanita Kumala, Aswa Arsa Lestari, Nining Maghfiroh, Ilmi Amalia Maharani, Maisa Maya Puspitasari, Maya Meiliana, Sherin Isna Midya Yuli Amreta Muhammad Adha Mula Agung Barata Mutmainah Mutmainah N. Juni Triastuti Ningtiyas, Amelia Rizki Nurhayani nurhayani Nurhayani, N Nurjianto Putri, Ananta Nur’aini, Zulfiana Oktafiani, Falisa Panigoro, Buyung Pelangi Eka Yuwita Povitasari, P Prasetya, Landung Wahyu Presmasitha, Bricareira Bara Putri, Erika Arista Rahamusa, Wafi Putra Ramadhani, Salsabila Putri Refsya Azanti Putri Retinovaliani, Aviolena Retno Sintowati - Riandini Aisyah Riyadi, Eka Putri Widya Arsia Rochmadina Suci Bestari Safari Wahyu Jatmiko Salsabila, Nabila Mutia Santi, Nirma Ceisa Sayekti, Nurul Cahyaning Nardi Senja, Agesti Tria Fatma Setyo Nurwaini Sinta Ningrum Sri Wahyuni Sulistyani Sulistyani Sulistyo, Ayu Indah Supraba, Intan Pratiwi Syahdiba, Natasya Maula Syamsiar, Syamsiar Tara , Irmanawati Audhina Nirmala Tri Agustina, Tri Utami, Indari Vianti, Melita Febry Wafiq, Muhammad Azzim Wahyu B, Sri Yaqin, Ahmad Ainul Yogi Prana Izza Yuda, Jalu Wira Yuliana, Nur Lutfi Yuni Prastyo Kurniati Yustina Andwi Ari Sumiwi Yuwita, Pelangi Zakki Alawi