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All Journal Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jikom: Jurnal Informatika dan Komputer
Umami, Nurul
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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PENERAPAN REGRESI LINEAR UNTUK PREDIKSI SUHU BADAN SAPI MENGGUNAKAN DATA SMART TERNAK DARI PT TELKOM INDONESIA: STUDI KASUS DI DESA PENGENGAT Umami, Nurul; Hernawan, Ari; Wirawan, I Gde Putu Wirarama Wedaswhara
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 2 (2024): September 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i2.376

Abstract

Abstract West Nusa Tenggara (NTB) is one of the regions in Indonesia with significant potential in the field of livestock farming. In the context of the agricultural industry, livestock is considered a valuable asset, and monitoring their health is crucial for improving livestock productivity. This research aims to determine the relationship between the body temperature of cattle (Y) and environmental factors, namely air humidity (), environmental temperature (), and barometric pressure (), using smart livestock data provided by PT Telkom. The study was conducted in Pengengat Village, NTB, involving correlation and regression analysis. The analysis results indicate a significant positive correlation between the body temperature of cattle and environmental temperature () and a negative correlation with humidity (). Additionally, there is a strong positive correlation between the body temperature of cattle and barometric pressure (). The multiple linear regression equation obtained is as follows: = –26.816842418191094 + -0,0014707 + 0.39772325 + 0.04927779. Model testing shows excellent prediction quality with low Mean Squared Error (MSE) values (0.3849 for training and 0.4623 for testing). Furthermore, the high R-squared (R^2) values (0.7283 for training and 0.7110 for testing) indicate that the linear regression model can predict the body temperature of cattle based on the analyzed environmental factors. Keywords: Cattle Body Temperature, Smart Livestock Data, Prediction, Machine Learning, Linear Regression
Rancang Bangun Website Promosi PT. Sejahtera Dunia Akhirat (Studi Kasus : Kantor Cabang Limawaktu) Umami, Nurul; Hidayat, Alfin; Panduardi, Farizqi
Jurnal Informatika dan Komputer Vol 15 No 1 (2025): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v15i1.170

Abstract

This study aims to develop a promotional website for PT. Sejahtera Dunia Akhirat's Limawaktu branch, an electronics store. The background of this research is the Limawaktu branch's need to transform their static website into a dynamic one to enhance user experience and the effectiveness of their online product promotions. The RAD (Rapid Application Development) method was chosen for this project due to its suitability for fast and iterative product development. The promotional website developed includes features for both customers and the admin side. After the website was developed, functionality testing was conducted using the User Acceptance Testing (UAT) method. The development results showed that out of 43 test cases, 41 were successful (95.35%) and 2 failed (4.65%). The system's success in meeting user needs reached 95.35%, indicating that the developed promotional website effectively improves the marketing and stock control for the Limawaktu store. The conclusion of this study is that the use of the RAD method in developing promotional websites is proven effective in producing systems that meet specific user needs.
Co-Authors Ari Hernawan Farizqi Panduardi Hidayat, Alfin Wirawan, I Gde Putu Wirarama Wedaswhara