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All Journal Jurnal Energi Dan Manufaktur Mechatronics, Electrical Power, and Vehicular Technology Simetris Jurnal Simetris Transformasi: Jurnal Pengabdian Masyarakat Compiler INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Teknik Mesin Jurnal Informatika dan Rekayasa Elektronik Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknik Informatika (JUTIF) Prima Abdika: Jurnal Pengabdian Masyarakat International Journal for Applied Information Management LOGIC : Jurnal Ilmu Komputer dan Pendidikan Jurnal Ilmiah Informatika dan Komputer Fokus Abdimas The Indonesian Journal of Computer Science
Wahyusari, Retno
Sekolah Tinggi Teknologi Ronggolawe Cepu
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MEDIA PEMBELAJARAN MENGENAL HEWAN LAUT MENGGUNAKAN KARTU RFID DI TK PERTIWI III WONOREJO CEPU KABUPATEN BLORA PROPINSI JAWA TENGAH Wibowo, Lastoni; Wahyusari, Retno; Herraprastanti, Eva Hertnacahyani; Gunawan, Helmi; ., Suprawikno; Korawan, Agus Dwi; Ghifari, Muhammad Al; Salsabilla, Dea; Indriyatni, Lies; Kurniawati, Endang
Fokus ABDIMAS Vol 1, No 2: APRIL 2023
Publisher : STIE Pelita Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34152/abdimas.1.2.94-101

Abstract

Learning activities in the Study Group (KB) are fun and do not burden children, so teachers are required to develop learning media. The problems faced by partners are that partners do not yet have learning media to get to know marine animals and the need for training in the use of learning media for partners. Based on an analysis of the situation and conditions faced by partners, the solution offered is to create and train for the use of learning media to get to know marine animals using an RFID card. This community service activity was carried out by a team from STT Ronggolawe Cepu in collaboration with a team of servants from STIE Pelita Nusantara Cepu. The conclusion of this activity is the creation of learning media to get to know marine animals using an RFID card and partners get learning media to get to know marine animals so that teachers can more easily introduce marine animals to students. Partners also gain knowledge and can apply technology through learning media about marine animals that have been created.
An IoT-Based Motorcycle Security System Using Arduino and Android for Theft Prevention Rakhmadi, Aris; Aji, Doni Kurnia; Rosad, Safiq; Azis, Abdul; Wahyusari, Retno
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2889

Abstract

Motorcycle theft remains a prevalent issue, especially in urban areas, where traditional security measures such as mechanical locks and ignition keys are easily bypassed. This research presents an IoT-based motorcycle security system integrating Arduino, Bluetooth communication, and an Android application to enhance theft prevention. The system employs an Arduino Uno microcontroller, HC-05 Bluetooth module, and SW-420 vibration sensor to detect unauthorized access and trigger security mechanisms. Users can remotely monitor and control their motorcycles via an Android application, which allows engine immobilization and alarm activation functions. The system was tested for hardware performance, Bluetooth connectivity, and software reliability. Results indicate that Bluetooth communication remains stable within a 10-meter range, the vibration sensor effectively detects unauthorized movements, and real-time commands between the application and Arduino execute with minimal latency. Cost analysis suggests that the system, with a total hardware cost of Rp 223,000, is an affordable and effective solution for motorcycle security. Despite some range limitations, the study demonstrates the feasibility of IoT-based security enhancements. Future improvements include GPS tracking and GSM communication for extended monitoring. This research contributes to developing innovative, cost-effective, and user-friendly vehicle security solutions.
Comparative Analysis Of Ant Lion Optimization And Jaya Algorithm For Feature Selection In K-Nearest Neighbor (Knn) Based Electricity Consumption Prediction Wahyusari, Retno; Sunardi, Sunardi; Fadlil, Abdul
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4692

Abstract

The increase in demand for electrical energy is in line with increasing population, urbanization, industrial deployment, and technology. Accurate prediction of electrical energy consumption plays an important role in planning, analyzing, and managing electricity systems to ensure sustainable, safe, and economical electricity supply. K-Nearest Neighbors (KNN) is a simple and fast prediction algorithm based on the quality and relevance of the features used. This research proposes to improve the accuracy of energy consumption prediction through feature selection based on metaheuristic algorithms, namely Genetic Algorithm (GA), Ant Lion Optimization (ALO), Teaching Learning Based Optimization (TLBO), and Jaya Algorithm (JA). The dataset used is Tetouan City Power Consumption, with a preprocessing process of time feature extraction, min-max scaling normalization, and feature selection. The ALO+KNN and JA+KNN combinations delivered the best and most stable prediction performance, while TLBO+KNN performed poorly. GA+KNN showed the worst overall results among all combinations. The evaluation of model performance was based on RMSE, MAPE, and R² metrics. These findings highlight the importance of selecting a feature selection algorithm that aligns well with the characteristics of the model and dataset to enhance prediction accuracy.
Predicting Smartphone Prices Based on Key Features Using Random Forest and Gradient Boosting Algorithms in a Data Mining Framework Wahyusari, Retno; Nabila, Zahara
International Journal for Applied Information Management Vol. 5 No. 2 (2025): Regular Issue: July 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i2.100

Abstract

This study aims to predict smartphone prices using machine learning models, specifically Random Forest and Gradient Boosting algorithms, based on various smartphone features such as internal memory, RAM, processor speed, battery capacity, and camera specifications. The dataset, consisting of 980 smartphones available in India, was preprocessed to handle missing values and categorical variables, ensuring it was ready for model training. The models were evaluated using Mean Squared Error (MSE) and R-squared (R²) scores, with Gradient Boosting outperforming Random Forest in terms of predictive accuracy. Key findings from the feature importance analysis revealed that internal memory, RAM, and processor speed were the most influential features in determining smartphone prices. The results indicate that machine learning models, particularly tree-based algorithms, are effective tools for predicting smartphone prices based on hardware specifications. This study has practical implications for businesses and consumers, as it provides insights into the factors influencing smartphone prices, helping businesses optimize pricing strategies and assisting consumers in making more informed purchasing decisions. Future research could explore deep learning models and incorporate additional features, such as market demand and consumer sentiment, to improve prediction accuracy.
A Conceptual Framework for Integrating SUS into ITIL: Enhancing IT Service Management Through Usability Evaluation Rakhmadi, Aris; Rochmadi, Tri; Azis, Abdul; Ayuningtyas, Astika; Sarmini; Wahyusari, Retno
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i5.4842

Abstract

Effective IT service management must combine operational excellence with seamless user experience in today's digital era. This paper introduces the Deployment and Integration Framework for Assessment (DIFA), a conceptual model that integrates the System Usability Scale (SUS) within the IT Infrastructure Library (ITIL) framework. ITIL offers a structured approach to aligning IT services with business objectives, while SUS provides reliable usability measurements from the user's perspective. By embedding SUS assessments throughout ITIL's lifecycle—spanning service strategy, design, transition, operation, and continual improvement—DIFA enables organizations to evaluate and enhance IT services' usability systematically. This integration bridges the gap between process efficiency and user satisfaction, supporting informed decision-making, improved service adoption, and better alignment with user needs. The findings highlight the strategic value of combining usability evaluation with ITIL's best practices, offering a sustainable and scalable pathway for organizations to deliver IT services that are both technically robust and intuitively user-friendly.
Co-Authors ., Suprawikno Abdul Azis Abdul Fadlil Achmad Furqon Nur Fitriadhi Adhika Pramita Widyassari Agung D.N.P, Muhammad Ahmad Rifa'i Aji, Doni Kurnia Al Hadi, Fahreza Amrozi, M Ali Anang Widianto Aris Rakhmadi Astika AyuningTyas, Astika Ayu, Anggi Mutia Bambang Haryoko Carreon, Jonathan Rante Devi Tiana Kartikasari Dyah Ayu Safitri Aprilia Eka Y, Sandy Pramudya Endang Kurniawati, Endang Esa Adistiya Fajarwati Mahdum Eva Hertnacahyani Herraprastansi Figo SW, Denni Ghifari, Muhammad Al Gunawan, Helmi Hamzah, Fahmi Aliefuddin Hilda Nur Maziyah Korawan, Agus Dwi Kuncoro, Bagus Tri Lastoni Wibowo Lies Indriyatni Masuri, Masuri Mudjijanto, Mudjijanto Muhamad Nur Subkan Muhammad Abdimas Khalifuddin Nabila, Zahara Nagari, Bintang Putra Nugraha, Anung Satria Putro, Dwi Purnomo Rahmasari, Nagita Ratna Dwi Rahayu Rochmadi, Tri Safiq Rosad Salsabilla, Dea Sarmini Setiawan, David Harry Shofia, Aina Sulistiyo, Yogi Sunardi Sunardi suryani, puput eka Suryanto, Hendri Suryanto, Hendri Sushananto W, Denni Figo Teguh Adi Saputro Teguh Yuwono Teguh Yuwono Wiranti, Dwiana Asih Wulan Sutriyani