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Peran Kepala Madrasah dalam Meningkatkan Kedisiplinan Belajar Siswa di Madrasah Mahmudah, Nur
TARBAWIYAT Vol 2 No 01 (2023): TARBAWIYAT: Jurnal Kependidikan
Publisher : Prodi PGMI STAI Al-Akbar Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62589/t.v2i01.73

Abstract

Kepala sekolah merupakan salah satu komponen pendidikan yang paling berperan penting dalam meningkatkan kualitas pendidikan. Kepala sekolah adalah seorang tenaga fungsional guru, yang diberi tugas untuk memimpin suatu sekolah dimana diselenggarakannya proses belajar mengajar, atau tempat dimana terjadi interaksi guru dalam memberi pelajaran dan murid menerima pelajaran. Dalam hal ini Kepala sekolah juga penting untuk memberikan perhatian kepada hal-hal yang dapat menggangu upaya-upaya peningkatan kualitas sekolah, diantaranya adalah masalah kedisiplinan. Tujuan penelitian ini adalah untuk mengetahui Peran dan faktor pendukung kepala madrasah dalam  meningkatkan  kedisiplinanan  belajar siswa di MI Nurul Hidayah Sidoarjo. Penelitian ini menggunakan jenis penelitian deskriptif dengan menggunakan metode kualitatif.  Penelitian deskriptif yaitu jenis penelitian yang menggambarkan kondisi sebenarnya berdasarkan data yang ada di lapangan. Masalah kedisiplinan menjadi sangat berpengaruh dalam rangka kemajuan suatu madrasah.  Dimana ketika dalam sebuah lembaga warga madrasah sangat menjunjung tinggi nilai kedisiplinan maka proses pembelajaran akan sangat baik. Sebaliknya jika madrasah sering dan banyak pelanggaran peraturan maka proses menuju kemajuan akan sangat jauh dan sulit. Kata kunci : Peran,Kedisiplinan, Siswa, kepala
Harmoni Asuhan: Analisis Dampak Metode Parenting terhadap Pendidikan dan Perkembangan Anak dalam Islam dan Psikologi Mahmudah, Nur; Azzahro, Fatimah
TARBAWIYAT Vol 3 No 01 (2024): TARBAWIYAT: Jurnal Kependidikan
Publisher : Prodi PGMI STAI Al-Akbar Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62589/staias.tbw.2024.06.2

Abstract

Anak sebagai anugerah dalam Islam, membutuhkan perhatian dan tanggung jawab orang tua sejak awal kehidupan. Islam mengajarkan pentingnya peran orang tua dalam pemilihan pasangan, persiapan pernikahan, dan pendidikan anak sejak dalam kandungan. Orangtua memiliki pengaruh yang signifikan dalam perkembangan anak dan peran mereka dalam menyosialisasikan serta merangsang kesadaran moral anak. Moral dan sikap orang tua mencerminkan nilai-nilai Islam, menekankan penghargaan, rasa hormat, dan kasih sayang. Perilaku orang tua memainkan peran kunci dalam membentuk karakter anak, memengaruhi perkembangan keseluruhan anak. Dalam menghadapi pendidikan anak, baik teori psikologi maupun ajaran Islam menunjukkan bahwa pendekatan efektif memerlukan beragam keterampilan, terutama responsivitas terhadap anak dan penanganan perilaku.Hasil penelitian menegaskan bahwa gaya pengasuhan yang efektif, sesuai dengan Islam, membentuk individu yang percaya diri, bertanggung jawab, dan memiliki regulasi diri yang kuat, mencerminkan keseimbangan antara prinsip-prinsip Islam dan kebutuhan perkembangan anak. Kata Kunci: Pola Asuh, Perkembangan Anak, Islam
Effectivity of Rosella Flower Pressed Water (Hibiscus sabdariffa L.) as a Natural Coloring Agent for Examination of Feces Confirmed Helminthiasis Sulistyo, Ayu Indah; Aisyah, Riandini; Nurhayani, N; Mahmudah, Nur
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2024: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.5497

Abstract

Background: Soil Transmitted Helminths (STH) are prevalent in tropics. Eosin 2% dye is commonly used for helminth egg identification, but this dye is carcinogenic and damaging to the environment. Aim: This study evaluates the effectiveness of rosella pressed water (Hibiscus sabdariffa L.) as a natural dye for helminthiasis feces examination, examines its performance with added citric acid, and compares the staining results. Methodology: This experimental study used a post-test only control group design with 27 purposively selected samples of 10% formalin-fixed helminthiasis feces. Staining was performed using rosella pressed water at concentrations of 10%, 20%, 30%, and 40%, with and without 9% citric acid, alongside 2% eosin as a comparison. Observations were made under a 10x microscope, and staining effectiveness was evaluated using a Likert scale by a parasitologist. Results: The staining quality of rosella pressed water was consistent (median = 3) across all concentrations. Parasite visualization varied without citric acid, with reduced quality at 20% concentration (median = 2). Preparation quality remained stable (median = 3). Kruskal-Wallis analysis showed no significant differences (p > 0.05). Discussion: Rosella flowers (Hibiscus sabdariffa L.) contain anthocyanin pigments which are flavonoid compounds that provide red to purple color, so they can be used as a natural dye for STH eggs. Conclusion: This study showed that rosella flower pressed water was effective for STH egg staining, although 2% Eosin gave the best and most consistent results. There were no significant differences between treatments.
Relationship between Obesity and Location of Residence with The Incidence of Fibroadenoma Mammae Povitasari, P; Kurniati, Yuni Prastyo; Lestari, Nining; Mahmudah, Nur
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2024: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.5531

Abstract

Purpose: Fibroadenoma mammae (FAM) is a common benign breast tumor predominantly affecting young women. While obesity and location of residence are thought to influence the risk of FAM, evidence remains inconclusive. The aim to analyze the relationship between obesity, location of residence, and the incidence of FAM in Central Java, Indonesia. Methodology: This observational analytical study employed a case-control design using retrospective medical record data. The study included patients with breast tumors who underwent surgery and histopathological examination. Patients were categorized into the FAM group (cases) and non-FAM group (controls). Data on body mass index (BMI) and location of residence (urban or rural) were analyzed to determine their relationship with FAM. Results: The study revealed that FAM patients had a significantly younger median age compared to non-FAM patients (30 vs. 36 years; p = 0.015). Obesity was significantly less common in FAM patients than non-FAM patients (p = 0.001), with obese individuals having a 0.2 times lower risk of developing FAM (OR = 0.2). There was no significant association between location of residence and FAM incidence (p = 1.000; OR = 1.0). Applications/Originality/Value: There is a relationship between obesity status and the incidence of FAM. Obese women have a 0.2 times lower risk of experiencing FAM than non-obese study subjects, it can be considered that obesity is a protective factor against the occurrence of FAM. There is no relationship between location of residence and the incidence of FAM.
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.
Co-Authors Aji, Oetari Zakiyah Anam, Khurul Andang Saehu, Andang Anika Candrasari Audytra, Hastie Ayu, Rakyan Wening Puspa Azzahro, Fatimah Azzahro, Siti 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 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 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