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All Journal BIOEDUSCIENCE Jurnal SOLMA JURNAL PENDIDIKAN TAMBUSAI Jurnal Riset Kesehatan Poltekkes Depkes Bandung Jurnal Pengabdian Harapan Ibu (JPHI) Journal of Nursing and Public Health (JNPH) Mitra Raflesia (Journal of Health Science) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Journal of Applied Business, Taxation and Economics Reseach AL-MASHALIH (Journal of Islamic Law) Jurnal Sanitasi Profesional Indonesia Al Barakat: Jurnal Kajian Hukum Ekonomi Syariah El 'Aailah DEVOTE: Jurnal Pengabdian Masyarakat Global Tasyri' Sulolipu: Media Komunikasi Sivitas Akademika dan Masyarakat Jurnal Pengabdian Masyarakat Jurusan Keperawatan
Mualim, Mualim
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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https://doi.org/ 10 The Microbiological Relationship Between Drinking Water and Stunting Incidence in the Tanjung Harapan Community Health Center Work Area, North Bengkulu, in 2024 Widada, Agus; Yusmidiarti, Yusmidiarti; Mualim, Mualim; Utomo, Budi; Lagiono, Lagiono
BIOEDUSCIENCE Vol 9 No 3 (2025): BIOEDUSCIENCE
Publisher : Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jbes/20232

Abstract

Background: Stunting is a condition of growth failure in children (body and brain growth) due to prolonged malnutrition. Based on data from the Argamakmur Health Office, North Bengkulu, 212 out of ten villages have cases of stunting in toddlers. Various factors, including the bacteriological quality of drinking water, can cause stunting. Bacteriological quality that does not meet standards increases the risk of diarrhea in toddlers. The purpose of this study was to determine the relationship between the bacteriological quality of drinking water and the incidence of stunting. Methods: The research method used in this study was an observational, descriptive approach.case controlby taking primary data from laboratory test results to see Total Coliform andE. Coliin drinking water. The sample of this study was clean water used by families in the stunting and non-stunting groups at the Tanjung Harapan Community Health Center, North Bengkulu, comprising 60 drinking water samples: 30 from stunting families and 30 from the non-stunting group. Sampling was carried out randomly using simple random sampling. Data analysis using statistical tests, chi-square. Results: The study on the microbiological quality of drinking water, with a total coliform indicator of 71.7%, did not meet the requirements; the indicator for the presence of E. coli at 73.3% also did not meet the criteria. Bivariate tests showed a relationship between the bacteriological quality of drinking water (Total Coliform) and the incidence of stunting, with a p-value <0.05 (0.004) and an OR = 7.875 (CI = 95% 1.958 – 31.675). There is a relationship between the bacteriological quality of drinking water (E. coli) and the incidence of stunting, with a p-value <0.05 (0.009) and an OR of 6.882 (CI = 95% 1.707 – 27.752). Conclusion: To improve the microbiological quality of drinking water, it is hoped that the community will consume drinking water from cooking and drinking water sources that meet microbial requirements.
DSN-MUI Fatwa as a Source of Law in the National Sharia Economic Legal System Mualim, Mualim; Mukhlas, Oyo Sunaryo; Hakim, Atang Abd.
Journal of Applied Business, Taxation and Economics Research Vol. 5 No. 3 (2026)
Publisher : PT. EQUATOR SINAR AKADEMIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54408/jabter.v5i3.568

Abstract

The development of Islamic economic law in Indonesia is inseparable from the contribution of the National Sharia Council of the Indonesian Ulema Council (DSN-MUI), as a religious authority that issues fatwas on contemporary muamalah practices. DSN-MUI fatwas not only serve as normative guidelines for the operations of Islamic financial institutions but also serve as substantive references in the formation of national Islamic economic regulations. This article aims to examine the position and legal force of DSN-MUI fatwas in the Indonesian legal system, while also analyzing the mechanisms for transforming religious norms into positive law. This research uses a normative juridical approach with a qualitative-descriptive analysis method of laws and regulations, DSN-MUI fatwas, and court decisions related to Islamic economic disputes. The results show that DSN-MUI fatwas occupy a strategic position as a source of material law that provides a normative basis for the birth of regulations, such as Law Number 21 of 2008 concerning Islamic Banking and various Financial Services Authority Regulations. However, formally, fatwas do not have direct binding force before being adopted into laws and regulations. Therefore, strengthening the synergy between religious authorities and state institutions is an important prerequisite for realizing a national Islamic economic legal system that is integrated, responsive, and equitable.
ANALISIS EFISIENSI MEMORI DAN WAKTU EKSEKUSI ALGORITMA QR SORT DAN BUBBLE SORT DALAM C++ Handika, Adi; Azzahrani, Hafizhah; Karima, Rizqi; Mualim, Mualim; Pujiono, Imam Prayogo
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 6, No 1 (2026): JEIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol6no1.1060

Abstract

Sorting is a fundamental process in computer science that significantly impacts data management and computational efficiency. This study aims to compare the performance of two sorting algorithms, QR Sort and Bubble sort, implemented in C++. The comparison analyzes and evaluates the two algorithms in terms of execution time and memory usage efficiency across datasets of varying sizes. This study uses a quantitative experimental method, with three dataset sizes: 100, 1,000, and 10,000 integer elements, which are run repeatedly under identical conditions to ensure consistent results. The experiments measure the average execution time (in microseconds) and estimated memory usage (in kilobytes) for each algorithm. The results show that QR Sort, which applies a non-comparative quotient–remainder approach, performs significantly faster than Bubble sort, which is comparative, especially as the data size increases. On large datasets, QR Sort outperforms Bubble sort by more than 100 times in execution time. This speed increase is accompanied by higher memory consumption, as QR Sort requires additional structures such as a bucket and counting arrays, whereas Bubble sort uses only minimal memory. Overall, these findings confirm that QR Sort is better suited for large-scale data processing where speed is a priority. At the same time, Bubble sort remains more efficient for small datasets or educational purposes due to its simplicity and low memory requirements. This study emphasizes the need to choose an appropriate sorting algorithm based on dataset characteristics and available system resources.Pengurutan (Sorting) adalah proses dasar dalam ilmu komputer yang memiliki pengaruh besar terhadap pengelolaan data dan efisiensi komputasi. Penelitian ini bertujuan untuk membandingkan kinerja dua algoritma pengurutan, yaitu QR Sort dan Bubble sort, yang diimplementasikan menggunakan bahasa pemrograman c++. Perbandingan dilakukan untuk menganalisis dan mengevaluasi kedua algoritma tersebut dari segi efisiensi waktu eksekusi dan penggunaan memori ketika diterapkan pada kumpulan data dengan ukuran yang berbeda-beda. Penelitian ini menggunakan metode eksperimen kuantitatif, dengan tiga skala dataset: 100, 1.000, dan 10.000 elemen bilangan bulat, yang dijalankan berulang kali dalam kondisi identik untuk memastikan konsistensi hasil. Percobaan mengukur rata-rata waktu eksekusi (dalam mikrodetik) dan perkiraan penggunaan memori (dalam kilobyte) untuk masing-masing algoritma. Hasil penelitian menunjukkan bahwa QR Sort, yang menerapkan pendekatan non-comparative quotient–remainder, bekerja jauh lebih cepat dibandingkan Bubble sort yang bersifat comparative, terutama saat ukuran data meningkat. pada dataset besar, QR Sort mengungguli Bubble sort dengan kecepatan lebih dari 100 kali lipat dalam waktu eksekusi. Peningkatan kecepatan ini disertai dengan konsumsi memori yang lebih tinggi karena QR Sort memerlukan struktur tambahan seperti bucket array dan counting array, sedangkan Bubble sort hanya menggunakan memori dalam jumlah minimal. Secara keseluruhan, temuan ini menegaskan bahwa QR Sort lebih cocok untuk pemrosesan data berskala besar di mana kecepatan menjadi prioritas, sedangkan Bubble sort tetap lebih efisien untuk dataset kecil atau keperluan edukatif karena kesederhanaannya dan kebutuhan memori yang rendah. Penelitian ini menekankan perlunya memilih algoritma pengurutan yang sesuai berdasarkan karakteristik dataset dan sumber daya sistem yang tersedia
Co-Authors Ade Sissca Villia Adeko, Riang Agustine, Hendra Karunia Andriana Marwanto Ashari, Azmi Azizah Ayu, Ajeng Azzahrani, Hafizhah Bathari, Rosalia Rina Budi Utomo Buston, Erni Chatarina Umbul Wahyuni Defi Ermayendri Dina Oktavia Efrizon Hariadi Eka, Eka Era Meganovitri FADILAH, LUTHFIYAH Fauziyah, Aulia Tsamrotul GAZALI, MOH. Hakim, Atang Abd. Handika, Adi Handoyo, Rivaldo Imam Prayogo Pujiono Ismiati Ismiati Ismira, Ismira Kamalulloh, Colungga Afgan Karima, Rizqi Krisdiyanta Krisdiyanta, Krisdiyanta Lagiono Lagiono, Lagiono Lucardo, Welly Madinah, Dina Matangaji, Amaludin Mercy Nafratilova Muhlisoh, Elis Mukhlas, Oyo Sunaryo Octafia, Mifta Parlina, Leni Pauzan Efendi Pratama, David Wahyu Ramadhan, Ahmad Ali Ramadhani Ramadhani Reny Suryanti REPERO, REPERO Sahrul, Hervan Saputra, M.Ardian Sari, Aplina Kartika Siska Damayanti Solly Aryza Sri Mulyati Ulfah Masfufah Ulviyah, Silvi Maryam Widada, Agus Wina Wina, Wina Yayat Hidayat yusmidiarti, yusmidiarti