Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Adinda Tarisyah Hsb
Unknown Affiliation
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Model Jaringan Syaraf Tiruan untuk Memprediksi Penyakit Demam Berdarah Menggunakan Algoritma Hebb Rule Adinda Tarisyah Hsb; Mazayah Tsaqofah; Lailan Sofinah Harahap
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.483

Abstract

Dangeu dengue fever or what we often call dengue fever is a disease transmitted by the Aedes aegypti mosquito and caused by the dengue virus. This disease can potentially cause serious complications if it does not receive proper treatment. In this research, the author uses the application of artificial neural networks with the Hebb rule approach to predict the risk level of dengue fever. Predictions are made based on factors such as weather conditions, population density and historical case data that influence this disease. The Hebb rule is used in this research because of its ability to strengthen connections between neurons based on the input patterns they receive, so it is hoped that it can produce more accurate predictions. Test results show that this method has a fairly high level of accuracy in predicting the pattern of dengue fever cases in an area. This research indicates that the application of artificial neural networks with the Hebb rule can be an effective tool for related parties in taking preventive measures to minimize the number of dengue cases in the future.
Penerapan Sistem Inventaris Berbasis Web Dengan Menggunakan Metode Waterfall Dalam Pendataan Bibit Teh Di Perkebunan PTPN4 Fadillah, hasti; Adinda Tarisyah Hsb; Sriani Sriani
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.573

Abstract

Tea plantations are an important sector in Indonesia's agricultural industry that contributes significantly to the country's economy. The success of tea cultivation is highly dependent on the quality of the seedlings, making data collection and management of tea seedlings a crucial element. However, the manual data collection process still used at PTPN4 faces various challenges such as recording errors, data loss, and information delays, which will have an impact on operational efficiency and decision making. This study analyzes the application of a web-based information system for data collection of tea seedlings in PTPN4 plantations, with a focus on the provision or stocking of seedlings. The results show that a web-based system using the waterfall method can improve the efficiency, accuracy, and transparency of data management, while facilitating integration between units in the organization. Abstrak. Perkebunan teh merupakan sektor penting dalam industri pertanian di indonesia yang memberikan kontribusi signifikan terhadap ekonomi dalam negara. Keberhasilan budidaya tanaman teh sangat bergantung pada kualitas bibit, sehingga pendataan dan pengelolaan bibit teh menjadi elemen krusial. Namun, proses pendataan manual yang masih digunakan di PTPN4 menghadapi berbagai tantangan seperti kesalahan pencatatan, kehilangan data, dan keterlambatan informasi, yang nantinya akan berdampak pada efisiensi operasional dan pengambilan keputusan. Penelitian ini menganalisis penerapan sistem informasi berbasis web untuk pendataan bibit teh di perkebunan PTPN4, dengan fokus pada penyediaan atau stok terhadap bibit. Hasil penelitian menunjukkan bahwa sistem berbasis web dengan menggunakan metode waterfall dapat meningkatkan efisiensi, akurasi, serta transparansi pengelolaan data, sekaligus memfasilitasi integrasi antar unit dalam organisasi.
Co-Authors Fadillah, hasti Lailan Sofinah Harahap Mazayah Tsaqofah Sriani Sriani