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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Lex Aeterna Law Journal
Suryani, Nita
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation

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APPLICATION OF THE BACKPROPAGATION METHOD TO PREDICT RAINFALL IN NORTH SUMATRA PROVINCE Nabila, Rinjani Cyra; Arnita, Arnita; Fitria, Amanda; Suryani, Nita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.625 KB) | DOI: 10.30598/barekengvol17iss1pp0449-0456

Abstract

Natural disasters are to blame for the high level of community loss. This is due to the community's lack of information about potential disasters around them. As a result, public understanding of disaster response is extremely low. As a result, weather information is critical for the smooth operation of human activities and activities, such as determining the amount of rainfall. The goal of this research is to identify the best model for predicting rainfall in North Sumatra Province and to forecast rainfall trends for the coming year. The rainfall time series data used in this study were collected from six stations in North Sumatra Province over the last ten years, including the Sibolga Meteorological Station, Aek Godang Meteorological Station, and Silangit Meteorological Station. Backpropagation is used in this study. Backpropagation is one of the methods used in artificial neural networks, which are usually divided into three layers: an input layer, a hidden layer, and an output layer connected by weights. During the training stage, the learning rate, iteration, and number of nodes in the hidden layer were all tested. Following the training process, the best model will be used for testing. The best model was obtained using rainfall data from North Sumatra Province, with an optimal iteration of 1000 iterations, an optimal learning rate of 0.1 in the learning rate trial, and the best number of hidden 5 nodes. During the testing, the MSE values were 0.047 and 0.022, respectively, and the MSE squared value was 0.0022 and 0.00049.
CERTAINTY FACTOR METHODS IN IDENTIFYING INTERESTS AND TALENTS OF ELEMENTARY SCHOOL CHILDREN AL IKHLAS TAQWA Fitria, Amanda; Idrus, Said Iskandar Al; Asiah, Asiah; Suryani, Nita; Nabila, Rinjani Cyra
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.408 KB) | DOI: 10.30598/barekengvol17iss1pp0457-0466

Abstract

Psychologists and child education experts always remind the importance of knowing interests and talents from an early age to provide a stimulus to children from an early age, because the provision of the stimulus affects the future of children. This study aims to (1) To make calculations in mathematical models to calculate and analyze the interests of children's talents using applications. (2) To create a web-based information system that can facilitate teachers and parents in determining the interests of children's talents at the Al-Ikhlas Taqwa Plus Elementary School using the Certainty Factor method. The method used in this research is the research and development (R&D) method using the certainty factor. The population in this study were all students of SD Plus Al Ikhlas Taqwa Medan T.P 2021/2022 starting from grades 3-6. Sampling was done by purposive sampling technique. Data collection was carried out by interviews, material expert test questionnaires, and media experts, and the results of the children's talent interest questionnaire were processed using the Certainty Factor. The results of this study are the results of interest and talent analysis based on 7 intelligence criteria and also the highest summary results from several criteria with one of the tests yielding a percentage of 93.58% in the field of linguistics.
PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) Suryani, Nita; Arnita, Arnita; Nabila, Rinjani Cyra; Fitria, Amanda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.267 KB) | DOI: 10.30598/barekengvol17iss1pp0467-0474

Abstract

Poverty reduction is a crucial issue and the primary The North Sumatra Provincial government's main concern is lowering the poverty rate, which is a crucial issue. The Province of North Sumatra in Indonesia, one of many nations affected by the Covid-19 pandemic, is particularly troubled economically. In this study, poverty levels were mapped using the K-Means algorithm, and GRNN was then utilized for modeling and prediction. The data source used is time series data from 2010 to 2020 from the Central Statistics Agency (BPS), which includes variables X covering population, health, education, unemployment, and asset ownership and variable Y representing poverty level. The goal of this study is to choose the best model for estimating poverty levels in North Sumatra Province. The districts and cities of Deli Serdang and Medan have the greatest rates of poverty, according to the K-means algorithm's mapping of poverty levels. Additionally, the results of the predicting produced MSE values of 0.004659 and RMSE values of 0.00002108. The value of the smoothness parameter is 0.01.
Perlindungan Hukum bagi Penjual dalam Jual Beli Online Pre-Order menurut Perspektif Hukum Islam Suryani, Nita
Lex Aeterna Law Journal Vol 2 No 3 (2024): Lex Aeterna Law Journal
Publisher : Lex Aeterna Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69780/lexaeternalawjournal.v2i3.70

Abstract

Perdagangan online telah berkembang pesat, termasuk dalam sistem pre-order, yang memungkinkan pembeli memesan barang sebelum tersedia. Namun, praktik ini juga menghadirkan risiko bagi penjual, terutama terkait dengan pembatalan sepihak oleh konsumen. Dalam perspektif hukum Islam, transaksi jual beli, termasuk pre-order, harus mematuhi prinsip-prinsip keadilan dan saling ridha. Konsep khiyar, atau hak memilih dalam transaksi, menjadi penting dalam konteks ini, di mana baik pembeli maupun penjual memiliki hak untuk membatalkan atau melanjutkan perjanjian berdasarkan kondisi tertentu. Pembatalan sepihak, atau yang dikenal dengan iqalah, adalah salah satu metode yang diatur dalam Islam untuk menjaga keadilan dalam transaksi. Jual beli online, termasuk pre-order, melibatkan risiko ketidakjelasan produk, yang dapat menyebabkan ketidakpuasan bagi konsumen. Oleh karena itu, penjual harus menyediakan informasi yang jelas mengenai produk, dan pembeli berhak untuk memilih apakah akan melanjutkan transaksi atau tidak. Video unboxing dan konsep misteri box juga mempengaruhi keputusan pembelian, di mana pembeli dapat melihat kondisi barang sebelum menerima, yang dapat memperkuat mekanisme khiyar dalam transaksi. Meskipun demikian, penting untuk menjaga kejujuran dan transparansi dalam bisnis online agar tidak terjadi penipuan yang dapat merugikan salah satu pihak.
Studi Hukum Islam Terhadap Praktik Sewa-Menyewa Tanah dengan Pembayaran Hasil Panen dalam Perjanjian Suryani, Nita
Lex Aeterna Law Journal Vol 2 No 4 (2024): Lex Aeterna Law Journal
Publisher : Lex Aeterna Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69780/lexaeternalawjournal.v2i4.74

Abstract

Penelitian ini membahas tentang hukum Islam terkait dengan praktik sewa-menyewa tanah dengan sistem pembayaran hasil panen. Sewa-menyewa tanah dalam hukum Islam termasuk dalam kategori akad ijarah, yang memungkinkan pemilik tanah untuk menyewakan tanahnya dengan imbalan berupa manfaat dari hasil pertanian atau komoditas lainnya. Dalam sistem pembayaran hasil panen, pihak penyewa menyerahkan sebagian dari hasil panen yang diperoleh kepada pemilik tanah sebagai bentuk pembayaran sewa, yang biasanya dilakukan berdasarkan kesepakatan lisan antara kedua belah pihak. Tujuan penelitian ini adalah untuk menganalisis pelaksanaan perjanjian sewa-menyewa tanah yang menggunakan pembayaran hasil panen dalam perspektif hukum Islam, serta untuk mengetahui dampak hukum terhadap kedua belah pihak, terutama dalam hal kejelasan perjanjian dan pembagian hasil. Penelitian ini menggunakan metode penelitian kepustakaan, dengan mengkaji berbagai literatur, buku, jurnal, serta pendapat para ulama tentang hukum sewa-menyewa tanah dan akad ijarah. Hasil penelitian menunjukkan bahwa praktik sewa tanah dengan pembayaran hasil panen dapat dibenarkan dalam hukum Islam selama terdapat kesepakatan yang jelas mengenai jenis tanaman, jangka waktu sewa, serta pembagian hasil yang adil antara pemilik tanah dan penyewa. Namun, masalah sering muncul ketika tidak ada kejelasan tentang hak dan kewajiban masing-masing pihak, atau ketika terjadi bencana alam yang mempengaruhi hasil panen. Dalam hal ini, hukum Islam mengatur bahwa kedua belah pihak harus bertanggung jawab atas kerugian yang ditimbulkan, dan perjanjian harus dipenuhi dengan dasar saling percaya. Secara keseluruhan, penelitian ini menyimpulkan bahwa perjanjian sewa-menyewa tanah dengan pembayaran hasil panen memiliki dasar hukum yang kuat dalam Islam, namun perlu perhatian lebih terhadap kejelasan dan keadilan dalam praktiknya untuk menghindari perselisihan.
Co-Authors Arnita Arnita Asiah Asiah Fitria, Amanda Nabila, Rinjani Cyra Said . Iskandar