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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) Jurnal Abdi Insani 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 International Conference on Digital Advanced Tourism, Management, and Technology Lumbung Ngabdi: Jurnal Pengabdian Masyarakat Jurnal Komtika (Komputasi dan Informatika)
Wahyusari, Retno
Sekolah Tinggi Teknologi Ronggolawe Cepu
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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; Azizah, Nur
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.
Media Pembelajaran Mengenal Alat Transportasi Berbasis Arduino Uno Puput Eka Suryani; Retno Wahyusari; Dwi Purnomo Putro
Lumbung Ngabdi: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): April
Publisher : Pusat Kajian dan Pengembangan Publikasi Ilmiah Institut Agama Islam Hamzanwadi Nahdlatul Wathan Lombok Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51806/kn80gv07

Abstract

Indonesia merupakan salah satu Negara yang menganut sistem Pendidikan Nasional, yaitu sistem pendidikan berjenjang yang masing-masing memiliki orientasi sesuai dengan tahapannya. Beberapa hal yang menjadi faktor keberhasilan dalam pendidkan anak usia dini adalah metode pembelajaran, tenaga pendidik, dan juga media pembelajaran yang digunakan. Tingkat keberhasilan dapat diukur dari apakah kemampuan peserta didik meningkat atau tidak. Kemampuan anak usia dini dapat dilihat dari kemampuan motrik kasar, motoric halus, dan juga kemampuan kognitif anak. Dari hasil survei lapangan, diketaui bahwa media pembalajaran di TK Budi Mulya masih bersifat konvensional dan belum terdapat media pembelajaran berbasis teknologi untuk menstimulasi kemampuan anak. Tujuan pada pengebadian masyarakat ini adalah mengenalkan media pembelajaran berbasis teknologi yang interaktif pada TK Budi Mulya sehingga mampu menunjang suasana belajar yang menyenangkan. Media pembelajaran pada pengabdian ini menampilkan nama-nama alat transportasi yang menggabungkan media gambar dan suara menggunakan Arduino Uno. Berdasarkan pengujian alat, media pembelajaran berfungsi dengan baik, yaitu mampu merespon gerakan apabila sensor disentuh oleh anak-anak dan akan menghasilkan suara nama-nama alat transportasi. Dari kegiatan pengabdian yang telah dilakukan, dengan memanfaatkan media pembelajaran tersebut dapat meningkatkan antusias siswa dalam belajar mengenal alat transportasi.
Penerapan Algoritma K-Medoids Untuk Mengelompokkan Status Obesitas Wahyusari, Retno
SIMETRIS Vol 18 No 1 (2024): SIMETRIS
Publisher : Sekolah Tinggi Teknologi Ronggolawe Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/simetris.v18i1.405

Abstract

Obesitas merupakan salah satu masalah kesehatan global yang semakin mendesak untuk ditangani. Organisasi Kesehatan Dunia (WHO) mencatat bahwa angka kejadian obesitas telah meningkat tiga kali lipat sejak tahun 1975, dengan lebih dari 1,9 miliar orang dewasa mengalami kelebihan berat badan, dan di antaranya, lebih dari 650 juta orang terdiagnosis obesitas. Penelitian ini bertujuan untuk menerapkan algoritma K-Medoids dalam pengelompokan data status obesitas. Pengelompokan dilakukan menggunakan RapidMiner dengan berbagai konfigurasi jumlah kluster, dan hasil dievaluasi menggunakan beberapa metrik validasi kluster termasuk Davies-Bouldin Index (DBI). Hasil penelitian menunjukkan bahwa jumlah kluster tiga (k = 3) adalah yang paling optimal dalam mengelompokkan data obesitas, dengan nilai DBI sebesar 0,071, dibandingkan dengan dua kluster (k = 2) yang memiliki nilai DBI sebesar 0,101. Nilai DBI yang lebih rendah menunjukkan bahwa kluster yang terbentuk lebih kompak dan terpisah dengan baik, menandakan performa yang lebih baik dalam pengelompokan data status obesitas.
Desiminasi Teknologi Capasitiv Sensor dan Arduino Uno dalam Pembuatan Voicing Poster untuk Peningkatan Pemahaman Sex Education bagi Anak Sekolah Dasar Sutriyani, Wulan; Wiranti, Dwiana Asih; Wahyusari, Retno; Aprilia, Dyah Ayu Safitri; Mahdum, Esa Adistiya Fajarwati; Subkan, Muhamad Nur; Maziyah, Hilda Nur
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2024): Volume 4 Nomor 4 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i4.4702

Abstract

In the current millennial era, cases of sexual violence in Indonesia continue to increase, making it necessary to provide sex education to children. The partner school in this research is the teacher working group (KKG) of Dabin IV SD Nakula Sadewa cluster in Bangsri sub-district, Jepara district, which consists of 9 elementary schools. They face issues with some elementary school children making jokes that lead to pornographic remarks or engaging in verbal and physical bullying. The aim of this community service program (PKM) is to enhance students' understanding of sex education, improve teachers' ability to master sex education material, and increase teachers' ability to innovate in creating learning media based on Capacitive Sensor technology and Arduino Uno. This research method is carried out in 5 stages: socialization, training, technology application, mentoring, and sustainability. As a result, the partners can improve their competence in developing innovative capacitive sensor technology learning media for elementary school children. From the implementation of this community service activity, the use of capacitive sensor technology-based learning media with Arduino Uno successfully addressed the problems faced by the partners.
Analysis Of Readiness For Smart City Implementation In Blora City Indonesia Joko Handoyo; Indra Gunawan; Retno Wahyusari
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.58

Abstract

Smart city is a concept initiated by the forum for the future which is predicted to be able to solve all aspects of problems in the lives of urban communities. The Smart City Framework consists of six aspects, namely Smart Governance, Smart Economy, Smart Branding, Smart Living, Smart Society and Smart Environment. However, this concept is too broad and complex, covers many things and involves many parties who will be involved in its implementation, so it is needed mature concepts and frameworks as a reference in implementation. Apart from that, each city has different problem characteristics, so it is necessary to carry out analytical studies to find out the problems in each aspect of a smart city. This research aims to analyze the readiness for smart city implementation in the city of Blora, Central Java Province, Indonesia. This analysis will be carried out on 6 aspects of smart cities which will be divided into 17 variables. The approach taken is a qualitative method where an assessment of readiness to achieve achievement targets is carried out through interviews. From the analysis that has been carried out, it can be said that the readiness achieved by the City of Blora for Smart City implementation has reached 66.7% so it still really needs to be improved.
Comparative Analysis Of Saw And Topsis In Selecting Recipients Of Basic Food Assistance Adhika Pramita Widyassari; Mohamad Ardy An’syah; Retno Wahyusari
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.61

Abstract

The Basic Food Program is one of the Indonesian government's alternative programs for distributing aid to underprivileged or poor communities. A selection process needs to be carried out to determine recipients of basic food assistance. Decision Support Systems are effective systems used to produce calculations with output in the form of rankings. The methods that are quite widely used are the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). This research aims to apply the SAW and TOPSIS methods in selecting aid recipients so that appropriate results are obtained which can be proposed as solutions to decision-making problems. There are 6 criteria used in this case, including: residence, occupation of the head of the family, type of floor, type of wall, place to urinate, lighting source. The data used as a test is data from the Banyuurip village community in 2023. The calculation process is carried out by finding the weight value of each alternative for each criterion. The selected aid recipients are those who have the greatest value as the best alternative. From the calculation results of the SAW (Simple Additive Weighting) and TOPSIS methods, the calculation results of the two methods were obtained. The alternative with the largest value or rank 1 produced by SAW and TOPSIS was both selected as alternative A10. Of the 12 data tested, SAW and TOPSIS have 50% similar alternative ranking results, including: rank 1 = A10, rank 5 = A9, rank 7 = A7, rank 8 = A6, rank 11 = A2, and rank 12 = A12. The SAW method gets better results compared to the TOPSIS method, because it gets precise, stable results and shorter processing time.
PENINGKATAN KOMPETENSI DIGITAL UMKM MELALUI TEKNOLOGI KECERDASAN BUATAN PADA KOMUNITAS SEDULUR BAKUL JOGOMUKTI SLEMAN Rochmadi, Tri; Wahyusari, Retno; Handoyo, Joko; Riadi, Imam; Muchlas, Muchlas
Jurnal Abdi Insani Vol 12 No 10 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i10.3138

Abstract

Transformasi digital sangat dibutuhkan bagi pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) dalam upaya meningkatkan daya saing di era industri 4.0. Sebagian besar pelaku UMKM masih mengalami kendala dalam memanfaatkan teknologi digital, termasuk kecerdasan buatan (AI). Melalui kegiatan Pengabdian kepada Masyarakat (PkM), perguruan tinggi berperan menjembatani kesenjangan tersebut. Kegiatan PkM bertujuan untuk meningkatkan kompetensi digital pelaku UMKM melalui pelatihan pemanfaatan teknologi AI dalam pembuatan konten promosi. Mitra kegiatan adalah Komunitas Sedulur Bakul Jogomukti Sleman, yang mayoritas anggotanya belum optimal memanfaatkan teknologi digital. Metode yang digunakan meliputi observasi kebutuhan, perencanaan, pelaksanaan pelatihan, pre-test, post-test, dan evaluasi. Hasil pre-test menunjukkan lebih dari 50% peserta masih memiliki pengetahuan rendah tentang penggunaan AI. Hasil post-test menunjukkan peningkatan signifikan, di mana lebih dari 90% peserta menyatakan memahami dan mampu menggunakan AI untuk membuat konten promosi. Serta 62,5% peserta lebih percaya diri dalam membuat konten promosi. Kegiatan ini mendapat respon positif dari peserta, komunitas, hingga pihak eksternal. Pelatihan ini terbukti efektif meningkatkan literasi digital dan diharapkan mampu mendorong pemberdayaan ekonomi lokal berbasis teknologi.
Co-Authors ., Suprawikno Abdul Azis Abdul Fadlil Achmad Furqon Nur Fitriadhi Adhika Pramita Widyassari Agung D.N.P, Muhammad Aji, Doni Kurnia Al Hadi, Fahreza Amrozi, M Ali Anang Widianto Aprilia, Dyah Ayu Safitri Aris Rakhmadi Astika AyuningTyas, Astika Ayu, Anggi Mutia Bambang Haryoko Carreon, Jonathan Rante Devi Tiana Kartikasari Dwi Purnomo Putro Eka Y, Sandy Pramudya Endang Kurniawati, Endang Eva Hertnacahyani Herraprastansi Fachry Abda El Rahman Figo SW, Denni Ghifari, Muhammad Al Gunawan, Helmi Hamzah, Fahmi Aliefuddin Imam Riadi Indra Gunawan Joko Handoyo Korawan, Agus Dwi Kuncoro, Bagus Tri Lastoni Wibowo Lies Indriyatni Mahdum, Esa Adistiya Fajarwati Masuri, Masuri Maziyah, Hilda Nur Mohamad Ardy An’syah Muchlas Muchlas Mudjijanto, Mudjijanto Muhammad Abdimas Khalifuddin Nagari, Bintang Putra Nugraha, Anung Satria Nur Azizah Puput Eka Suryani Putro, Dwi Purnomo Rahmasari, Nagita Ratna Dwi Rahayu Rochmadi, Tri Safiq Rosad Salsabilla, Dea Sarmini Setiawan, David Harry Shofia, Aina Subkan, Muhamad Nur Sulistiyo, Yogi Sunardi Sunardi suryani, puput eka Suryanto, Hendri Suryanto, Hendri Sushananto W, Denni Figo Sutriyani, Wulan Teguh Adi Saputro Teguh Yuwono Teguh Yuwono Wiranti, Dwiana Asih