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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Pengabdian Al-Ikhlas Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Sistim Informasi dan Teknologi Jurnal Pengabdian Pelitabangsa Jurnal Dharmabakti Nagri International Journal of Information Technology and Computer Science Applications (IJITCSA) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Tyastuti Sri Lestari
Fakultas Teknik, Universitas Bhayangkara Jakarta Raya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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NeoCare: Telehealth System with Intelligent Notification for Neonatal Care Tb Ai Munandar; Tyastuti Sri Lestari; Achmad Noeman
International Journal of Information Technology and Computer Science Applications Vol. 3 No. 3 (2025): September - December 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v3i3.239

Abstract

Neonatal mortality in low- and middle-income countries remains high, partly because early physiological deterioration is detected late and continuous monitoring is limited outside specialized units. To address this gap, this study presents NeoCare: Telehealth System with Intelligent Notification for Neonatal Care, a multi-actor platform that integrates neonatal data management, vital-sign monitoring, and machine-learning–based alerts. The research followed a software engineering approach comprising stakeholder and context analysis, requirements engineering, clinical data acquisition, system and database design, intelligent notification model design, and prototype implementation. Retrospective neonatal records from two Indonesian referral hospitals were used to characterize heterogeneous and homogeneous clinical populations and to inform the design of classification features for vital-sign–based risk assessment. NeoCare is realized as a layered architecture with sensor, device, communication, processing-intelligence, and application layers. The prototype includes web and mobile interfaces tailored to four actor groups: hospital administrators, doctors, midwives, and parents. Administrators manage users, hospitals, vital-sign data, and machine-learning models while supervising alert output. Doctors and midwives access dashboards that display neonatal lists, detailed histories, trend graphs, and consultation management, supporting triage and longitudinal follow-up. Parents use a simplified mobile interface to view their baby’s status, monitor vital-sign trends, receive alerts, and schedule consultations. The system embeds an intelligent notification mechanism that flags abnormal patterns and presents them through color-coded indicators and concise messages. The results demonstrate the technical feasibility and coherence of a role-based, data-driven telehealth platform for neonatal care, providing a solid foundation for future work on clinical validation, device integration, and large-scale deployment.
CAMPAIGN UNIFORMS & PERSONALIZATION OF PARTY LEADERS AS A STRATEGY TO WIN REGIONAL AND PRESIDENTIAL ELECTIONS Tyastuti Sri Lestari; Amalia Syauket; Bambang Karsono
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 3 No. 4 (2025): APRIL
Publisher : Adisam Publisher

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Abstract

Indonesia’s political landscape has become significantly more open in recent decades, reflecting a maturing democratic system. Electoral competition among political actors is a logical consequence of democracy, and therefore, requires effective strategies to secure political victories. This descriptive qualitative study seeks to examine two key issues: (1) What political imagery is embedded in the use of campaign uniforms? and (2) What image is constructed through the continuous display of a party leader’s photograph during election campaigns? The study is based on recent and relevant secondary data that align with contemporary electoral phenomena. Findings suggest that in the 2014 and 2019 presidential elections, Joko Widodo (Jokowi) successfully employed a symbolic strategy through the use of campaign uniforms, which functioned as political attire throughout the campaign period. These uniforms carry significant semiotic value, symbolizing unity, multi-ethnicity, multiculturalism, and egalitarianism. Through this imagery, Jokowi cultivated a public persona as a democratic and inclusive leader. This visual strategy was further reinforced by the consistent display of the photograph of the PDIP chairperson, who was portrayed as both a unifying force within the party and a transformative figure in national politics. The presence of the party leader served as a political magnet within campaign communication, emphasizing both ideological and constitutional ties between the candidate and the party. The novelty of this study lies in the argument that political parties, beyond merely constructing a strong brand image, must also maintain voter brand loyalty in order to remain competitive in future elections.
Sistem E-Payroll pada Karyawan Yayasan Pendidikan Islam An-Nadwah Menggunakan Algoritma Advanced Encryption Standard (AES) Berbasis Web Linda Fitriyani; Dwipa Handayani; Tyastuti Sri Lestari; Agus Hidayat
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/n7qt5a13

Abstract

The rapid development of information technology encourages educational institutions to improve efficiency and security in administrative management, including payroll systems. This research aims to design a web-based E-Payroll system implemented at the Islamic Education Foundation An-Nadwah by applying the Advanced Encryption Standard (AES) algorithm to ensure the confidentiality of employee salary data. The system was developed using the Rapid Application Development (RAD) method to enable fast and user-responsive development. The implementation results show that the system can effectively encrypt and decrypt salary data, as well as provide real-time and secure payroll reports. System testing using the blackbox method demonstrates that all system functionalities work as expected. This system is expected to enhance efficiency, accuracy, and security in the payroll process within the foundation.
Identification of Website-Based Product Sales Frequency Patterns using Apriori Algorithms and Eclat Algorithms at Rio Food in Bekasi Salwa Nabiila Pramuhesti; Herlawati Herlawati; Tyastuti Sri Lestari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5941

Abstract

Sales reports that are not managed automatically may hinder businesses from accurately determining their progress in the short or long term. With increasing community needs for a product, business owners have an opportunity to market their products to a larger audience. The abundance of data highlights the need for information to produce patterns that can be used as a reference for making decisions in buying products on the website. Data mining algorithms can provide support for analysis, which can help avoid inaccurate business progress reports. In this study, the Apriori and Eclat algorithms were applied to analyze frequent itemsets in association rule mining. The dataset used in this study consists of 20 transaction data from frozen food sales. The results showed that the combination of Nugget and Chicken Sausage itemsets were the most frequent, with higher support, confidence, and lift ratio values than the others. These results can be used as product recommendations that are most in demand by customers.
Co-Authors Abrar Hiswara Achmad Noeman Adi Muhajirin Agus Hidayat Agus Setyawan Ahmad Dedi Jubaedi Ajif Yunizar Pratama Yusuf Amalia Syauket Arman Andrian Bambang Karsono Dani Yusuf Dwipa Handayani Harsiti Harsiti Herlawati Herlawati Ismaniah Ismaniah Joniwarta Linda Fitriyani Muhammad Khaerudin Mukhlis Priatna , Wowon Prima Dina Atika Retna Ayu Puspitasari Salwa Nabiila Pramuhesti Silvi - Tb Ai Munandar