Article Per Year (5 Year)
p-Index From 2021 - 2026
1.944
P-Index
This Author published in this journals
All Journal Jurnal Riset Informatika Budimas : Jurnal Pengabdian Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Joong-Ki : Jurnal Pengabdian Masyarakat DEDIKASI : Jurnal Pengabdian Kepada Masyarakat Journal of Accounting Information System Joong-Ki Joong-Ki Journal of Engineering and High Technology
Indah Suryani
Universitas Nusa Mandiri
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Implementation of Machine Learning Algorithms for Early Detection of Cervical Cancer Based on Behavioral Determinants Duwi Cahya Putri Buani; Indah Suryani
Jurnal Riset Informatika Vol. 5 No. 1 (2022): December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (981.068 KB) | DOI: 10.34288/jri.v5i1.167

Abstract

Cervical cancer is a disease that affects women and has the highest mortality rate after breast cancer. Early detection of cervical cancer is critical at this time, so cervical cancer patients are decreasing. Many women, especially in Indonesia, are less concerned about the dangers of cervical cancer, even though if detected earlier, this disease will be easier to treat. One alternative for early detection can use machine learning algorithms. The machine learning algorithms used in this study are Naïve Bayes (NB), Logistic Regression (LR), Decision Tree (DT), SVM, and Random Forest. In this study, a random under-sampling method was employed, which had no uses in any prior research. This technique makes the accuracy of the five algorithms even better. The research results show that NB has an accuracy rate of 91.67%, LR has an accuracy rate of 87.5%, DT has an accuracy rate of 81.81%, SVM has an accuracy rate of 75%, and RF has the highest accuracy rate of 94.45%. This research shows that the best model is RF or Random Forest.
Design of information distribution system (soundsee) on website-based digital platform Omega Joel Patria Moata; Indah Suryani
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dissemination of information about promos, events or company products is very important to attract clients / customers. However, the dissemination of information by distributing brochures / pamphlets is not efficient. In addition, for the dissemination of information through Whatsapp, e-mail or SMS has the risk of Hacking. Hacking techniques such as Social Engineering are often ignored by companies so often targeted for Cyber Crime. To prevent this, there needs to be an information data security system that pays attention to aspects of confidentiality, integrity and availability. This research aims to create a system that serves as a safe and efficient information delivery. Soundsee is a web-based information dissemination system that comes with mass message delivery on whatsapp (Whatsapp Blast). Soundsee stores customer information data such as phone numbers and company information data that disseminates information and prevents cyber crime problems using Social Engineering Hacking Techniques. With the Agile Development Methods method with the Scrum Model, the system was developed. This system allows users to store customer data as well as create information that wants to be conveyed to the customer. After that spread the information to whatsapp media platform to customers whose data has been stored or can be uploaded to other media platforms such as facebook and Instagram. The use of this system is able to increase the efficiency of time and cost and improve data security in the dissemination of information.
Co-Authors Ade Christian Arfhan Prasetyo Azis Purnomo Dhea Shaufy Duwi Cahya Putri Buani Fitria Kumalasari Hani Harafani Ibnu Rusdi Muhammad Rahman Omega Joel Patria Moata Putri Putri Siti Nazilah Suci Sulistiani Supriyadi Supriyadi Supriyadi Tri Wahyono