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All Journal Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Info Sains : Informatika dan Sains
Amran Sitohang
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Computer Science & IT

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Implementasi Jaringan Syaraf Tiruan Dalam Klasifikasi Citra Medis simanjorang, Relima Mahdalena; Amran Sitohang; Abdi Sembiring; Sartika Simanjorang
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 24 No 1 (2025): Februari 2025
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v24i1.10690

Abstract

Kanker otak adalah jenis kanker yang sangat menakutkan dan mematikan, yang dapat sangat mempengaruhi kualitas hidup penderitanya. Untuk meningkatkan peluang pengobatan yang efektif, penting sekali melakukan diagnosis sejak dini dan dengan cara yang tepat. Namun, proses diagnosis kanker otak seringkali rumit dan membutuhkan keahlian khusus dari para ahli radiologi. Karena itu, teknologi pembelajaran mesin, khususnya jaringan syaraf tiruan (JST), memiliki potensi besar untuk membantu dalam proses klasifikasi citra medis. Salah satu model JST yang sangat berguna adalah Convolutional Neural Networks (CNN), yang sudah terbukti efektif dalam mengenali pola-pola kompleks dalam gambar. Model ini dapat dilatih untuk mengidentifikasi ciri-ciri tumor otak, sehingga diagnosis dapat dilakukan lebih cepat dan akurat. Tujuan penelitian ini adalah untuk mengembangkan aplikasi JST dalam mengklasifikasi citra medis
Application of Linear Regression Method in Predicting Chicken Egg Sales Amran Sitohang; Neramayana Br Tarigan; Lira Virna; Allya Dwi Cantika
Jurnal Info Sains : Informatika dan Sains Vol. 15 No. 01 (2025): Informatika dan Sains , 2025
Publisher : SEAN Institute

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Abstract

This study aims to predict chicken egg sales using a simple linear regression method based on historical sales data for 12 months, from April 2024 to March 2025. This study uses a quantitative approach with a longitudinal study design. The total sampling technique is used because all monthly sales data is analyzed without exception. Data was collected through sales report documentation from a single egg distributor business unit that operated consistently during the study period. Data analysis was carried out through a preprocessing process, calculation of variable values X (month), Y (sales), and calculation of XY and XX to obtain regression coefficients. The results of the calculation show that the linear regression equation obtained is Y=150.1515233− 6.24126X. This shows that there is an average decrease in sales of 6.24 egg boards every month. Furthermore, this regression model is used to predict chicken egg sales in the period April 2025 to March 2026. The predicted results show a continued downward trend, with sales projected to decline drastically to near zero by March 2026. The conclusion of this study is that there is a downward trend in chicken egg sales during the two years of observation. These results provide an early warning for business actors to evaluate business strategies and take anticipatory steps. This research also opens up opportunities for further study of external factors that may affect sales.
Co-Authors Abdi Sembiring Allya Dwi Cantika Lira Virna Neramayana Br Tarigan Sartika Simanjorang Simanjorang, R. Mahdalena