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All Journal Elkom: Jurnal Elektronika dan Komputer Ekonis : Jurnal Ekonomi dan Bisnis Jurnal EduHealth Silatene : Jurnal Sosial Humaniora
Nova Eliza
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Humanities Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences Veterinary

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PERTUMBUHAN EKONOMI DAN INFLASI TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH DI INDONESIA Muhammad Nasir; muhammad Nasir; Rusdy Rusdy; Nova Eliza
Ekonis: Jurnal Ekonomi dan Bisnis Vol 23, No 1 (2021): JURNAL EKONOMI DAN BISNIS (EKONIS)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/ekonis.v23i1.2189

Abstract

This study aims to determine the effect of economic growth and inflation on non performing financing on sharia commercial banks in Indonesia. This research only discusses external factors such as economic growth and inflation. The data used in this research are monthly publication by Indonesia Bank and sharia banking statistics publication by Financial Services Authority on period January 2014 until December 2018. The data analysis method used in this study is multiple linear regression analysis using SPSS. The results of this study indicate that simultaneously economic growth and inflation have significant effect on non performing financing . and then, partially economic growth and inflation have a negative and significant effect on non performing financing. This research recommends to the monetary authority in order to maintain the stability of the economics growth and inflation that be able to encourage the development of Sharia banks in the future.Keywords: Non Performing Financing (NPF), Economic Growth, and Inflation
The Relationship Between Elderly Knowledge and the Incidence of Gout in Blangreuling Village, Bireuen Regency Sri Wahyuni; Firayani, Firayani; Zainab, Zainab; Mutia, Mutia; Ayu Sabila; Nova Eliza; Dek Opra; Rini Fitriani; Khairul Moliza; Lutvia Humaira; Eliana, Eliana
Jurnal EduHealth Vol. 16 No. 01 (2025): Jurnal EduHealt, Edition January - March, 2025
Publisher : Sean Institute

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Abstract

Uric acid, or gout, is a form of inflammatory arthritis caused by the accumulation of monosodium urate crystals in the joints. This buildup occurs due to increased uric acid levels in the blood (hyperuricemia), which can result from excessive uric acid production or inefficient excretion through the kidneys. This study aims to determine the relationship between elderly knowledge and the incidence of gout in Blangreuling Village. The research employs a cross-sectional design and involves elderly individuals in Blangreuling Village. The total population consists of 36 people, with the sample also comprising 36 individuals using a total sampling technique. Data was collected through questionnaires and secondary data, then analyzed using descriptive analysis to identify the relationship between elderly knowledge and gout incidence. The study results show that 22 elderly individuals (61.11%) have good knowledge, while 14 individuals (38.88%) have less knowledge. Additionally, 20 elderly individuals (55.55%) were diagnosed with gout. Bivariate analysis results indicate a significant relationship between knowledge and gout incidence (p < 0.05). This study is expected to contribute to a better understanding of gout among the elderly in rural communities and inform targeted public health interventions, as well as the development of effective prevention and management strategies for gout in the elderly population of Blangreuling Village.
Transformasi Pesantren Melalui Kurikulum Merdeka : Antara Tradisi dan Modernisasi di Pondok Pesantren At-Thahiriyah Nova eliza
Jurnal Silatene Sosial Humaniora Vol. 1 No. 1 (2023): Maret
Publisher : Suwaib Amiruddin Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53611/ncx18353

Abstract

Transformasi pesantren melalui kurikulum merdeka menjadi relevan dalam memadukan tradisi keilmuan pesantren dengan tuntutan modernisasi pendidikan nasional. Pesantren, sebagai lembaga pendidikan Islam tertinggi di Indonesia, tidak hanya mengajarkan materi umum tetapi juga pembelajaran berbasis agama dengan metode seperti "sorogan" dan "bandongan". Kurikulum merdeka, di sisi lain, menekankan pembelajaran berbasis proyek dan eksplorasi isu aktual. Penelitian ini mengkaji implementasi kurikulum merdeka di Pondok Pesantren At-Thahriyah, yang berupaya menyeimbangkan nilai tradisional dengan kebutuhan zaman. Melalui pendekatan kualitatif, penelitian ini menemukan bahwa meskipun ada tantangan dalam mempertahankan nilai tradisional, pesantren ini mampu beradaptasi dengan kurikulum fleksibel tanpa mengorbankan esensi keagamaan. Hasilnya, transformasi ini dapat menjadi model integrasi tradisi dan modernisasi dalam pendidikan Islam di Indonesia.
Klasifikasi Jenis Sampah Organik Dan Anorganik Menggunakan Convutional Neural Network Berbasis Citra Digital Nova Eliza; Bambang Irawan; Abdul Khamid
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 2 (2025): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v18i2.3309

Abstract

Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning technology, which is expected to be widely applied in Indonesia, especially in large cities with high waste volumes. This study aims to distinguish between organic and inorganic waste using the Convolutional Neural Network (CNN) method based on digital images. The developed CNN model was trained to recognise the visual patterns of each type of waste and tested to measure its accuracy. The test results show that the CNN-based classification system is capable of achieving an accuracy rate of 95%, thus proving the effectiveness of this method in supporting artificial intelligence-based automatic waste sorting systems.
Co-Authors Abdul Khamid Ayu Sabila Bambang Irawan Dek Opra Eliana Eliana Firayani, Firayani Khairul Moliza Lutvia Humaira Muhammad Nasir Muhammad Nasir Mutia Mutia, Mutia Rini Fitriani Rusdy Rusdy Sri Wahyuni Zainab Zainab