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USWATUN KHASANAH
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Prediksi Biaya Konsumsi Bahan Bakar Gas Menggunakan Metode Backpropagation Neural Network (Studi Kasus: PLTU PT. Pembangkit Jawa Bali Unit Pembangkitan Gresik) Uswatun Khasanah; Nurissaidah Ulinnuha
Jurnal Sains Matematika dan Statistika Vol 5, No 2 (2019): JSMS Juli 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v5i2.7630

Abstract

Dalam pembangkitan energi listrik diperlukan bahan bakar yang memadai karena bahan bakar merupakan komponen utama dalam pembangkitan energi listrik. Penggunaan bahan bakar yang efektif dan efisien tentu saja disesuaikan dengan kebutuhan beban yang diminta sehingga tidak ada energi yang terbuang ataupun kekurangan bahan bakar dalam proses pembangkitan. Maka dibutuhkan suatu perencanaan yang baik dengan melakukan prediksi terhadap biaya konsumsi bahan bakar gas yang dikeluarkan oleh Unit PLTU PT. PJB UP Gresik dengan menggunakan kecerdasan buatan yaitu metode Backpropagation Neural Network. Hasil Prediksi biaya konsumsi bahan bakar gas pada Unit PLTU PT. PJB UP Gresik selama tahun tahun 2019 yaitu sebesar Rp 379.039.171.701 dengan MAPE sebesar 10.418%.
ANALISIS PERAMALAN BEBAN LISTRIK JANGKA PENDEK MENGGUNAKAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM Dian Candra Rini; Uswatun Khasanah; Wika Dianita Utami; Putroue Keumala Intan
MathVisioN Vol 1 No 1 (2019): Maret 2019
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.087 KB)

Abstract

Prediksi atau peramalan beban listrik dibutuhkan dalam menentukan jumlah listrik yang akan diproduksi guna mencegah terjadinya beban berlebih yang dapat menyebabkan kerusakan pada sistem trafo atau kekurangan beban listrik yang mengakibatkan krisis energi listrik pada konsumen. Oleh karena itu, dibutuhkan suatu metode alternatif untuk memprediksi beban listrik jangka pendek, salah satunya yaitu metode Adaptive Neuro Fuzzy Inference System pada penelitian ini. Data diperoleh dari PT. PLN (Persero) APD Jawa Timur yang berisi data beban listrik per setengah jam dari bulan februari sampai september tahun 2018 yang digunakan sebagai data aktual. Data kemudian dilatih dengan menggunakan metode ANFIS dan didapatkan hasil peralaman bulan september 2018. Data uji coba tanggal 1 s/d 28 september tergolong memiliki tingkat kesalahan yang rendah yaitu MAPE menunjukkan hasil 7,926%. Nilai error terbesar terjadi pada tanggal 18 september yaitu sebesar 20,51% sedangkan nilai error terkecil terjadi pada tanggal 16 september yaitu sebesar 1,117%.
KLASIFIKASI MULTI CLASS MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK UNTUK PREDIKSI STUNTING PADA BALITA Khasanah, Uswatun
MathVisioN Vol 7 No 1 (2025): Maret 2025
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/mv.v7i1.1650

Abstract

Stunting merupakan sebuah masalah gizi kronis yang menghambat pertumbuhan anak dan menyebabkan efek jangka panjang yang serius. Salah satu upaya yang dapat dilakukan untuk mengetahui stunting lebih dini yaitu dengan melakukan prediksi. Pada penelitian ini dilakukan klasifikasi multiclass menggunakan Metode Backpropagation Neural Nework untuk prediksi stunting pada balita. Proses pada penelitian ini yaitu pengumpulan data, preprocessing data, pembagian data, pembangunan model, pelatihan, pengujian dan evaluasi model. Model yang dibangun dapat mengklasifikasi status stunting menjadi 4 kategori yaitu normal, tinggi, stunting, dan sangat stunting. Data yang digunakan pada penelitian ini yaitu sebanyak 120.999 data. Data dibagi menjadi dua yaitu sebanyak 80% digunakan sebagai data latih dan 20% sebagai data uji. Perhitungan akurasi menggunakan metode cross entropy dan evaluasi akurasi. Hasil penelitian menunjukkan bahwa akurasi training yang didapatkan sebesar 99% dan akurasi testing sebesar 99%. Berdasarkan hasil tersebut menunjukkan bahwa model pembelajaran yang dibangun dengan menggunakan metode Backpropagation Neural Network mampu mencapai hasil yang sangat baik untuk melakukan klasifikasi stunting ke dalam beberapa kelas.
The Correlation Between Self Care Management and Blood Sugar Levels in Type 2 Diabetes Melitus Patient in The Working Area of The Kedaton Health Center Tiara Nur Aisyah; Uswatun Khasanah; Sri Marfuati
Qanun Medika - Jurnal Kedokteran FK UMSurabaya Vol 10 No 01 (2026): Qanun Medika Vol 10 No 01 January 2026
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jqm.v10i01.24885

Abstract

Diabetes Mellitus is a group of metabolic diseases characterized by hyperglycemia that occurs due to abnormalities in insulin secretion, insulin action, or both. Uncontrolled DM progresses to complications. A way to prevent complications is self-care management. To analyze the correlation between self-care management and the blood sugar levels in type 2 diabetes mellitus patients in the working area of Kedaton Health Center. An analytical observational study with a cross-sectional design. Data were collected by completing a questionnaire and measuring blood sugar levels. The sample consisted of 158 respondents, selected using a purposive sampling technique. The analysis test used the Spearman correlation test. There are 98 respondents (62.0%) with poor self-care management and 60 respondents (38.0%) with good self-care management. The majority of respondents have uncontrolled blood sugar levels, namely 132 respondents (83.5%). The results of the Spearman correlation test showed a significant correlation between self-care management and blood sugar levels in type 2 diabetes mellitus patients in the working area of Kedaton Health Center (p-value = 0.002), with a weak positive correlation (r = 0.242). There is a significant correlation between self-care management and blood sugar levels in type 2 diabetes mellitus patients in the working area of Kedaton Health Center. The worse self-care management of the respondents, the more uncontrolled the blood sugar levels will be (³180 mg/dL).
Analisis Lama Perendalam Kedelai Terhadap Kualitas Tempe (Rasa, Warna, dan Tekstur) untuk Bahan Olahan Mendoan Felisiana Fidelia; Melvitha Putri Prihanza; Nova Yulita; Uswatun Khasanah; Ipin Aripin
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 11 (2025): December 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17946481

Abstract

The purpose of this study was to analyze the effect of soybean soaking time on the quality of tempeh as a mendoan ingredient, especially in terms of taste and texture. Mendoan tempeh has unique sensory characteristics that are largely determined by the quality of tempeh in the initial stages of processing, so that the soybean soaking process is an important factor that needs to be studied scientifically. The research method/approach used was an experimental method with a completely randomized design, where the treatment was a variation of soybean soaking time for 8 hours, 12 hours, and 16 hours. Data were obtained through organoleptic tests using a hedonic scale on the taste and texture of mendoan tempeh, involving untrained panelists, then analyzed using analysis of variance (ANOVA) with the help of SPSS software. The results of the study showed that variations in soybean soaking time had a significant effect on the quality of taste and texture of tempeh as a mendoan ingredient. The 12-hour soaking time produced the highest preference value for both sensory parameters compared to other treatments. The conclusion of this study confirms that controlling the soaking time of soybeans is a crucial initial stage in producing optimal quality tempeh for processed mendoan, and has the potential to become a technical reference for traditional food business actors in improving product quality.
Dealing with Students Pronunciation: the “Spelling Bee” Effect Khasanah, Uswatun; As Sabiq, Agus Husein
JET ADI BUANA Vol 5 No 02 (2020): Volume 5 Number 02 October 2020
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jet.v5.n02.2020.2521

Abstract

Pronunciation is put on bottom list in English teaching-learning process, and students focused to learn grammar. The aim of this research was to investigate the effect of “Spelling Bee” technique towards students’ pronunciation. The researcher used the experimental method. The sample of the research was 63 students in seventh-grade MTs NU 01 Mambaul Hikmah Tegalwangi which was consist of 32 female students of seventh E as experimental class and 31 female students of seventh D as control class. The sampling technique used cluster random sampling. The instrument of the research used jumble letters and speaking test as pre-test and post-test which were analyzed using Microsoft Excel. The result of the research indicated that there was a significant difference between students’ post-test in experimental class and control class. The mean score of the post-test in the experimental class was (71.806) while the score post-test in the control class was (23.306). Besides, the result of the t-test showed that t-stat (27.125) was higher than t-table (1.688) with a degree of freedom (df) = 36 as a result Ha was accepted and H0 was rejected. It meant that the “Spelling Bee” technique had a significant influence in teaching pronunciation at seventh-grade of MTs NU 01 Mambaul Hikmah Tegalwangi. “Spelling Bee” can be an alternative technique for teachers to improve students’ pronunciation as well as their vocabulary and spelling skills.
The role of investment for poverty alleviation in Yogyakarta: Evidence from logit regression Suripto, Suripto; Sukarniati, Lestari; Khasanah, Uswatun; Kurniawan, Mahrus Lutfi Adi; Istanti, Istanti
Jurnal Ekonomi & Studi Pembangunan Vol. 25 No. 1: April 2024
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v25i1.21060

Abstract

This article discusses the Solow-Romet theory of economic growth, aiming to explain the relationship between household poverty in the Province of Daerah Istimewa Yogyakarta (DIY) through investments in education, quality of life improvement, and health. The study examines various influence variables, including Non-Formal Education (XNF), Educational Scholarships (XBS), Protein Consumption (PK), Disease Prevention Costs (XL), Calorie Consumption (IK)), Health Insurance Variables (XAS ), and Food Security (XT) in assessing the poverty status of households in the Special Region of Yogyakarta in 2021. The estimation model employs a logit mode approach, using data from Susenas (National Socioeconomic) data for the Special Province of Yogyakarta, with a sample size of 4044 households. The findings of this study indicate that investments in non-formal education, school fees, and educational scholarships do not significantly affect family poverty status. However, increased investment in quality of life (such as calorie consumption) and health (including disease prevention and health insurance spending) will affect the poverty status of households in the Special Province of Yogyakarta in 2021.
Understanding Sharia Governance In Islamic Financial Institution: A Systematic Literature Review And Conceptual Perspective Uswatun Khasanah
SHACRAL: Shari'ah Economics Review Journal Vol. 2 No. 1 (2025): Februari
Publisher : PT. Samudra Solusi Profesional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62952/shacral.v2i1.65

Abstract

Sharia governance constitutes a fundamental pillar in ensuring the legitimacy, credibility, and sustainability of Islamic financial institutions (IFIs). Unlike conventional governance frameworks, Sharia governance integrates corporate governance principles with Islamic jurisprudence, aiming to ensure that all financial activities comply with Sharia principles. As the global Islamic finance industry continues to expand, particularly in Muslim-majority countries such as Indonesia, Malaysia, and Gulf Cooperation Council (GCC) states, the effectiveness of Sharia governance practices has become a critical concern for regulators, practitioners, and scholars. This study aims to systematically review and synthesize existing literature on Sharia governance practices in Islamic financial institutions using a qualitative systematic literature review and conceptual approach. The review draws on peer-reviewed international and national journal articles, regulatory documents, and institutional reports published over the last two decades. The analysis focuses on key components of Sharia governance, including the role of Sharia Supervisory Boards (SSBs), internal Sharia audit mechanisms, governance disclosure, and regulatory frameworks established by standard-setting bodies such as the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) and the Islamic Financial Services Board (IFSB). The findings indicate that while formal Sharia governance structures have been widely adopted, their implementation varies significantly across jurisdictions due to differences in regulatory enforcement, institutional capacity, and scholarly interpretation of Sharia principles. Empirical evidence from Indonesia demonstrates rapid growth in Islamic financial assets exceeding IDR 1,028 trillion in 2025 yet highlights persistent challenges related to SSB independence, effectiveness, and governance transparency. This study contributes by offering a comprehensive conceptual understanding of Sharia governance practices and identifying key gaps between regulatory expectations and operational realities. The findings are expected to provide insights for policymakers, regulators, and Islamic finance practitioners seeking to strengthen Sharia governance frameworks and enhance institutional accountability.
Co-Authors Anis Nur Laili As Sabiq, Agus Husein Aulia, Aldaniah Zahrotul Esyuananik, Esyuananik Fauzi, Moh Sony Felisiana Fidelia Fitriyani ,, Fitriyani Fitriyani, F Ipin Aripin Istanti Istanti, Istanti Junaidi Junaidi Khoirudin, Rifki Lestari Sukarniati, Lestari Mahrus Lutfi Adi Kurniawan, Mahrus Lutfi Adi Melvitha Putri Prihanza Milatun Khanifah Muhammad Afif Muslimin, Edy Ningsih Fadhilah Nur Diana Nurissaidah Ulinnuha Putroue Keumala Intan Sari, Dian Candra Rini Novita Sari, Galuh Kartika Sri Marfuati Suripto Suripto Tiara Nur Aisyah Wika Dianita Utami Yulita, Nova