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Promosi Kesehatan Tentang Pencegahan Infeksi Saluran Pernapasan Akut di Kelurahan Randu
Dyah Restuning Prihati
; Maulidta Karunianingtyas Wirawati
; Catur Asih Lestari
; Edi Wibowo
; Itsnaeni Khotimah
; Kusdino Kusdino
; Rina Fajariyati
Kolaborasi : Jurnal Hasil Kegiatan Kolaborasi Pengabdian Masyarakat
Vol 4
, No 1
(2026)
Acute Respiratory Tract Infection (ARI) is a global health problem that significantly contributes to high morbidity and mortality rates. The goal of this activity is to educate residents about preventing ARI, so that they have a good understanding of the disease and are able to take preventive measures independently. The program included information on ARI, simple inhalation therapy, and proper waste disposal. Prior to the health promotion on ARI prevention, 70% of residents had poor knowledge a...
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Antidiabetic Potential of Keji Beling (Strobilanthes crispus (L.) Bl.)
Arum Suproborini
; Desi Kusumawati
; Mochamad Soeprijadi Djoko Laksana
; Anindya Kusuma Wardani
; Vijimol Vijimol
Journal of Health Sciences, Public Health and Pharmacy
Vol 3
, No 1
(2026)
Background: Diabetes Mellitus (DM) is a disease that cannot be completely cured or cannot even be completely cured. The vile shard plant is empirically used by the community to treat diabetes (DM). This study aims to conduct phytochemical screening and test the activity of 96% ethanol extract of kejibeling leaves (Strobilanthes crispus (L.) Bl.) as a herbal antidiabetic in male white mice (Mus musculus) with alloxan induction. Method: This research is an experimental laboratory research with a t...
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Interpretable Feature Interaction Mining in High-Dimensional Clinical Data Using Hybrid Tree–Neural Models
Journal of Information Technology and Computer Science
Vol 2
, No 1
(2026)
High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in c...
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Transformational Leadership and Work-Life Balance on Job Satisfaction: The Mediating Role of Employee Engagement
Proceeding. of The International Conference on Business and Economics
Vol 4
, No 1
(2026)
This study investigates the effects of transformational leadership and work-life balance on job satisfaction, with employee engagement as a mediating variable, within the context of modern organizational work environments. Increasing job demands and performance pressures have raised concerns regarding employee psychological well-being, yet previous empirical findings on how leadership and work-life balance influence job satisfaction remain inconsistent. Therefore, this research aims to examine w...
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Analisis Prediksi Penjualan Bisnis Retail Menggunakan Metode Decision Tree dan Random Forest
Agung Narayana Adhi Putra
; I Wayan Sudiarsa
; I Kadek Adi Gunawan
; Kadek Bagus Karunia Dwi Dharmayasa
; I Wayan Eka Saputra
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 4
, No 1
(2026)
The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of...
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Analisis Permainan Lompat Tali untuk Meningkatkan Kemampuan Motorik Anak di Sekolah Dasar
Khairu Ulfa Barus
; Mawar Sari
; Nurul Aulia
; Bunga Salsabila
; Anggi Pratiwi
; Adinda Najwa
; Dina Thahura Azzahra
; Nabila Pratama Putri
; Sri Lestari
; Desi Nurhalimah
Mutiara Pendidikan dan Olahraga
Vol 3
, No 1
(2026)
This study uses a literature review method to examine the role of jump rope activities in improving coordination, balance, agility, and strength among elementary school children. It provides an in-depth analysis of jump rope games in the context of enhancing motor skills in elementary education. The study explores how this traditional game can serve as an effective tool for developing various motor skills in children. It covers the types of motor skills involved in jump rope activities, variatio...
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Modeling Human Algorithm Interaction to Improve Trust and Reliability of Intelligent Decision Support Systems in Data Driven Organizations
Indonesian Journal of Infomatics
Vol 1
, No 1
(2026)
This research explores the role of human algorithm interaction mechanisms in enhancing trust, reliability, and user confidence in Decision Support Systems (DSS). Traditional DSS models often focus solely on algorithmic accuracy and performance, neglecting crucial factors such as transparency and user engagement, which are essential for building trust. By incorporating explainable AI (XAI) techniques like SHAP and LIME, real-time feedback mechanisms, and user-friendly interfaces, the study develo...
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Evaluating the Impact of Model Driven Development on Verification and Validation Efficiency in Secure, Large Scale Enterprise Software Systems
Software Engineering in Computing Systems
Vol 1
, No 1
(2026)
Model driven Development (MDD) has emerged as an efficient software engineering methodology that focuses on using high-level models as primary artifacts throughout the software development process. The methodology involves transforming abstract models into detailed designs, and eventually into executable code, with the assistance of automated tools. This study evaluates the impact of MDD on the Verification and Validation (V&V) processes within secure enterprise software systems. By comparin...
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An Integrated Framework of Enterprise Architecture and Artificial Intelligence for Optimizing Strategic Decision Making in Digital Service Oriented Organizations
Integrated System and Management Technology
Vol 1
, No 1
(2026)
This research explores the integration of Enterprise Architecture (EA) and Artificial Intelligence (AI) to optimize strategic decision-making in digital service-oriented organizations. These organizations often face challenges such as fragmented decision-making due to disconnected IT systems and limited data-driven insights. The objective of the study is to develop an integrated framework that combines EA and AI to enhance decision-making accuracy, operational efficiency, and strategic alignment...
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Design and Evaluation of an Adaptive Intrusion Detection Framework for IoT Edge Networks Using Hybrid Machine Learning and Deep Reinforcement Learning Techniques
Cyber Security and Network Management
Vol 1
, No 1
(2026)
The rapid proliferation of Internet of Things (IoT) devices across diverse industries has significantly increased the vulnerability of IoT edge networks to sophisticated cyber threats. Traditional intrusion detection systems (IDS), such as signature-based and anomaly-based approaches, are often insufficient in addressing the dynamic and evolving nature of these threats. This study proposes a hybrid intrusion detection system (IDS) framework that combines supervised machine learning (ML) techniqu...
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