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All Journal Jurnal Ilmu Pendidikan Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Cakrawala Pendidikan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmu Komputer dan Informasi Jurnal Pendidikan Teknologi dan Kejuruan Bulletin of Electrical Engineering and Informatics Jurnal Inovasi Teknologi Pendidikan Jurnal Teknologi Informasi dan Ilmu Komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Edu Komputika Journal Jurnal Manajemen Keuangan Publik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Buletin Ilmiah Sarjana Teknik Elektro Jurnal Karinov BISECER (Business Economic Entrepreneurship) INTEGRITAS : Jurnal Pengabdian Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Belantika Pendidikan Letters in Information Technology Education (LITE) Jurnal Graha Pengabdian Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Jendela Pendidikan Bima Loka: Journal of Physical Education Jurnal Pengabdian kepada Masyarakat PESAGI (Jurnal Pendidikan dan Penelitian Sejarah) Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP) Jurnal Inovasi Teknologi dan Edukasi Teknik Kohesi: Jurnal Sains dan Teknologi Journal Of Chemical Process Engineering Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) Journal of Innovation and Teacher Professionalism Journal of Informatics and Interactive Technology (JIITE) Edu Komputika Journal Jurnal Kajian Bimbingan dan Konseling Journal of Engineering, Electrical and Informatics
Nur Hidayat, Wahyu
Universitas Negeri Malang
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How to Prevent Student Mental Health Problems in Metaverse Era? Muslihati, Muslihati; Hotifah, Yuliati; Hidayat, Wahyu Nur; Sobri, Ahmad Yusuf; Valdez, Anabelie V.; Ilmi, Achmad Miftahul; Saputra, Nur Mega Aris
Jurnal Kajian Bimbingan dan Konseling Vol. 8, No. 1
Publisher : citeus

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

Abstract

Metaverse, a combination of social media, gaming, and virtual reality technology innovation, is a new concept that has attracted the attention of various groups. This concept has also aided numerous groups of people, including the academician. As Metaverse offers various means to innovate, it is projected to change human lives and patterns of interaction. However, Metaverse also presents a number of negative impacts on mental health, even greater than the impacts of online games. This literature review aims to examine the impacts of the Metaverse on adolescents. Then, it develops the relevant preventive strategy through school guidance and counseling programs. This study is motivated by the lack of research related to the impact of Metaverse on adolescents’ mental health and intervention strategies. By applying the PRISMA steps, the study was conducted on scientific articles published from 2017 to 2022 extracted using Publish or Perish software. From the data collection process, we garnered and analyzed 25 relevant articles from ScienceDirect, SpringerLink, Sage Journals, Google Scholar, WoS, ProQuest, Taylor & Francis Group, Emerald Insight, DOAJ, and Garuda. Our analysis results showed that Metaverse potentially has negative impacts on adolescents, especially on non-cognitive aspects, such as social skills, empathy, self-esteem, self-control, and self-regulated learning. In addition, a basic guidance and counseling strategy using various approaches and techniques is required, particularly group guidance using information technology and social media to develop youth literacy about mental health in this metaverse era.
Komparasi Perhitungan Jarak K-Means Dalam Pengklasteran Tingkat Pengangguran Terbuka di Indonesia Ghoni, Umar; Hidayat, Nur Wahyu; Rakhmawati, Hidayatur; Lestari, Yuniarti
JATISI Vol 12 No 4 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i4.13750

Abstract

Abstract Unemployment is a short-term economic problem that significantly affects social conditions and public welfare. The Open Unemployment Rate (OUR) serves as an important indicator to measure unemployment levels. In Indonesia, OUR data are periodically published by the Central Bureau of Statistics (Badan Pusat Statistik, BPS) by province and year. Analyzing these data helps identify regions with high or low unemployment rates to support effective labor policy formulation. This study applies the K-Means clustering algorithm to classify Indonesia’s open unemployment rate using four distance metrics: Euclidean, Manhattan, Chebyshev, and Cosine Similarity. The clustering performance was evaluated using the Davies-Bouldin Index (DBI) to determine the best distance metric. The results indicate that Chebyshev Distance produced the best cluster quality with a DBI value of 0.606, while Cosine Similarity yielded the poorest result with a DBI of 1.445. Therefore, Chebyshev Distance is recommended as the most suitable distance metric for clustering Indonesia’s open unemployment rate using the K-Means algorithm. Keywords: open unemployment, K-Means, distance metric, Davies-Bouldin Index.
Pengaruh Karakteristik dan Riwayat Penyakit Kronis terhadap Kejadian Depresi pada Lansia yang Tinggal di Roujin Home Asahi No Ie Jepang Wahyu Nur Hidayat; Mariah Ulfah; Ema Wahyu Ningrum
JURNAL RISET RUMPUN ILMU KEDOKTERAN Vol. 5 No. 1 (2026): April: Jurnal Riset Rumpun Ilmu Kedokteran
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrike.v5i1.8399

Abstract

Depression is one of the most common mental health problems experienced by older adults and is influenced by various factors, including individual characteristics and chronic disease conditions. This study aims to determine the influence of age, gender, and chronic disease history on the incidence of depression among older adults residing at Roujin Home Asahi No Ie, Japan. The study used a quantitative method with a cross-sectional design. The population consisted of all elderly individuals living at Roujin Home Asahi No Ie, and the sampling technique used was total sampling. The Geriatric Depression Scale (GDS) was utilized as the instrument to measure depression levels. Data were analyzed using univariate and bivariate analyses with the Chi-Square test. The results showed a significant relationship between age and depression levels (p = 0.001), indicating that older age increases the risk of depression. Gender also demonstrated a significant association with depression (p = 0.015), showing differences in vulnerability between male and female elderly individuals. In addition, a significant relationship was found between chronic disease history and depression (p = 0.002), indicating that elderly individuals with chronic illnesses are more likely to experience depression. Based on these findings, it can be concluded that age, gender, and chronic disease history significantly influence depression among older adults. These results are expected to support the development of preventive strategies and geriatric nursing interventions to improve mental health and quality of life among elderly individuals in nursing home environments.
Smart Office Application With IoT-Based Light Monitoring And Controlling Features Achmad Hamdan; Bagus Aditama; Muladi Muladi; Wahyu Nur Hidayat
Journal of Engineering, Electrical and Informatics Vol. 4 No. 2 (2024): Juni: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v4i2.3033

Abstract

The activity of using office facilities such as turning on lights is usually carried out manually by human physical effort. Unbeknownst, this activity reduces the effectiveness of office users' performance and raises concerns about excessive electricity usage due to not knowing whether the lights are still on or have been turned off. Therefore, a smart office application based on the Internet of Things is needed to control the lighting conditions and monitor electricity usage. In this study, the device is developed using several sensors including Pzem-004T, RTC, LDR, and Firebase database. The research results in (1) light control can be done through an Android application utilizing the Firebase database divided into two modes: automatic and manual; (2) by utilizing serial communication from Esp32 with PZEM004T, the smartphone application can display real-time data and usage history to facilitate users in controlling and monitoring the lights; (3) light sensors (LDR) and Ultrasonic Sensors (HC_SR 04) function well to adjust the range of values as considerations for when the lights should turn on and off; (4) with PZEM004T-V3.0, the application can monitor energy usage, even up to the total cost of usage.
Development of Cyber Pedagogy-Based MOOC Content for Educational Game-Integrated Learning Training among Education Practitioners Elmunsyah, Hakkun; Kuswandi, Dedi; Nur Hidayat, Wahyu; Adi Kurniawan, Rivan; Ilmama, Thirafi
Jurnal Ilmu Pendidikan Vol 31, No 2 (2025): December
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um048v31i2p243-252

Abstract

This study develops and evaluates Cyber Pedagogy-based Massive Open Online Course (MOOC) content designed to enhance the competence of education practitioners in integrating game-based learning into instructional practices. The research applied a Design and Development Research (DDR) approach using the ADDIE model, covering the analysis, design, development, implementation, and evaluation stages. The quality of the developed MOOC was assessed using the Learning Object Review Instrument (LORI), which comprises eight dimensions: Content Quality, Learning Goal Alignment, Feedback and Adaptation, Motivation, Presentation Design, Interaction and Collaboration, Usability and Accessibility, and Reusability and Effectiveness. Data were obtained from 45 practitioners participating in MOOC-based training. Results indicate that all dimensions achieved average scores above 3.00 on a four-point scale, indicating a good level of quality. The highest mean scores were found in Learning Goal Alignment (3.389), Presentation Design (3.373), and Content Quality (3.333), while Usability and Accessibility (3.156) was the lowest. Overall, the findings demonstrate that Cyber Pedagogy-based MOOC content effectively supports structured, engaging, and adaptive digital learning experiences for education practitioners.
Adaptive Feature Selection using Fisher-Based Supervised Hill Climbing for Dysgraphia Handwriting Classification Kirana, Kartika Candra; Handayani, Anik Nur; Eva, Nur; Wibawa, Aji Prasetya; Hidayat, Wahyu Nur; Arai, Kohei
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.14983

Abstract

Dysgraphia features selection remains a challenge. Fisher’s criterion excels at highlighting the discriminative features of dysgraphia but lacks guidance for choosing the optimal number of features. Whereas Hill Climbing shows robust feature selection but often gets trapped in local optima. This study aims to avoid the Hill Climbing trap in local optima when selecting the best dysgraphia feature. Thus, the Fisher-Based Supervised Hill Climbing (FSHC) method is introduced. The contribution of this study is an optimized machine-learning-guided hill-climbing method that uses a classifier on a validation set as the objective function. A plateau mechanism also guided Hill Climbing exploration, not by a single Fisher point but by the neighboring subsets. The dataset used contains the graphomotor slant line task from 119 children aged 8-15 years (47.5% diagnosed with dysgraphia), with 10000 to 50000 data points per user. It is organized into kinematic, spatial, dynamic, and temporal features, yielding 117 sub-features. A stratified 5-fold cross-validation is set for training and testing, reaching 21 features. Comparative test—Linear SVM, SVM RBF, Sigmoid SVM, Polynomial SVM, Random Forest, AdaBoost, KNN, Decision Tree, Gradient Boosting, Gaussian Naive Bayes, and Gaussian Classifier—showed that linear SVM achieves the best performance with a weighted average precision, recall, and F1 score of 0.93. Linear SVM also outperformed the three approaches: no feature selection, the traditional Fisher, and machine-learning-based feature selection (weighted KNN and SVM). It can be concluded that the proposed method is more robust than the state of the art by highlighting key points for avoiding overfitting.
UJI PEMINATAN MATA PELAJARAN INFORMATIKA DALAM PENYELENGGARAAN KURIKULUM MERDEKA TINGKAT SEKOLAH MENENGAH ATAS Rohmah, Fauziyatur; Hidayat, Wahyu Nur; Warsono, Warsono
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 4 No. 4 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v4.i4.2024.3

Abstract

Secara khusus, penduduk berusia antara enam dan lima belas tahun diharuskan mengikuti kelas pendidikan dasar. Ada yang berpendapat bahwa pendidikan adalah suatu proses kehidupan yang membantu manusia mencapai potensi maksimalnya dan menjadi manusia yang berharga dan terdidik pada tingkat afektif, kognitif, dan psikomotorik. Dalam hal pelatihan dan pengembangan sumber daya manusia yang kompeten dan berdaya saing dalam skala global, pendidikan merupakan hal yang krusial. Hal ini mempunyai dampak yang signifikan di dunia yang terus berkembang, dan pendidikan menyediakan sarana untuk menavigasi kemajuan di zaman modern. Pendidikan yang paling efektif bagi siswa akan memberikan mereka alat yang mereka perlukan untuk mencapai potensi penuh mereka dalam hidup. Mata pelajaran informatika awalnya bernama TIK dalam kurikulum 2013, namun kemudian diubah namanya menjadi Informatika dalam kurikulum mandiri. Kecenderungan yang terus-menerus untuk fokus dan mengingat suatu aktivitas disebut minat. Selain itu, pengaruh terkait subjek, yang mencakup minat dan sikap terhadap subjek, juga dapat didefinisikan sebagai minat. Sudut pandang lain menyatakan bahwa minat adalah kecenderungan yang konsisten untuk fokus dengan mengingat berbagai pengalaman. Derajat keterlibatan siswa dalam suatu proses pembelajaran terutama ditentukan oleh minatnya, oleh karena itu minat belajar mempunyai pengaruh yang signifikan terhadap hasil belajar yang disampaikan oleh guru. Kesadaran yang tinggi dalam mempelajari informatika. Minat belajar merupakan salah satu faktor internal yang dapat mempengaruhi keberhasilan pembelajaran informatika, sehingga penting untuk menganalisis faktor-faktor yang mempengaruhi minat belajar siswa. Maka penerapan mata pelajaran informatika pada kurikulum SMA hendaknya tidak menjadi masalah, melainkan upaya pemerintah untuk mencetak generasi unggul yang berdaya saing global dengan pengetahuan teknologi yang semakin maju dan luas.
Co-Authors Abd Kadir Mahamad Achmad Hamdan Achmad Miftachul 'Ilmi Achmad Miftahul Ilmi Achmad Syahrudin Fakhri Adi Kurniawan, Rivan Admaja Dwi Herlambang, Admaja Dwi Ahmad Rizki Sya’bani AIDIN, LUTHFI Aji Prasetya Wibawa Akbar, Asna Isyarotul Amiruzzaki Taslim Anabelie V Valdez Anabelie V. Valdez Andrian Rachmat Anik Nur Handayani Arie Muazib Arsyillah, Nazhiroh Tahta Asfani, Khoirudin Asih Setiani Ayu, Pitaloka Dharma Ayuningtyas, Sindy Tri Azhar Ahmad Smaragdina Bagus Aditama Bramastya, Rista Cakir, Gulsun Kurubacak Dedi Kuswandi Didik Dwi Prasetya Dila Umnia Soraya Dwi Ardiana Setyawardhani Eddy Sutadji Eka Handriani Eka Mistakim Ellvina Pramitadewi Wahyunigtyas Ema Wahyu Ningrum Euis Widanegsih Eva, Nur Fauziyatur Rohmah Febrianto Alqodri Febriyanti, Krismon Nuvi Firdaus, Azmi Fachriza Firmansyah, Muhammad Ferdian Fitra Riaji, Dhanang Fuad Indra Kusuma Ghoni, Umar Hakkun Elmunsyah Hary Suswanto Haryanto dan Edi Purwanta Suparno Haryanto dan Edi Purwanta Suparno Hermanto, Yon Ade Lose Hutomo, Wahyu Rinto Ilfi Atavia Ilmam, Thirafi Ilmama, Thirafi Ilmi, Achmad Miftahul Indraswari, Martha Devi Irfan Dwi Sabana Jaka Pandita Wahyu Joumil Aidil Saifuddin Junaidi Syarif Kania Sawitri Kartika Candra Kirana Kartikasari, Chrismon Dwi Indah Kohei Arai Krisma Anuarin Hidayat Kurniawan, Rivan Adi Kusumawati, Frenti Indra Langlang Gumilar Lestari, Yuniarti M. Alfian Mizar Mahfud Jiono Mariah Ulfah Mas Nurul Achmadiah Mas’udah, Ajeng Ramadhani Lailul Mikhael Valliano Benjamin Mochammad Rizal Ramadhan Mohammad Luqman Muhammad Afnan Habibi Muhammad Aqshal Muhammad Aris Ichwanto Muhammad Basri Muhammad Daffa' Al Haque Muhammad Rizal Andriansyah Muis Muhtadi Muladi Muslihati Naurah Septi Anggraini Naurah Septi Anggraini Nidhom, Ahmad Mursyidun Nuaf Praditya Nur Asma Azizah NUR KHOLIFAH Nur Mega Aris Saputra Nur Sofiana, Mahera Nurul Hidayati Patmanthara, Patmanthara Phassha, Syakhdan Khemal Prasetyo, Wiji Dwi Pratama, Paskalis Edvin Aldo Krisrama Priambodo, Aln Pujo Prihandicha, Adiftya Bayu PUDJIJUNIARTO Putra, Sultan Maulana Ragil Rachmawati Rachmawati Raffi Taufik Gushardana Rahajeng Kartika Sari Rakhmawati, Hidayatur Resti Pranata Putri Ria Febrianti Riaji, Dhanang Fitra Rina Rifqie Mariana Risca Lusiana Pratiwi Rokhimatul Wakhidah RUSTAMAJI RUSTAMAJI Sari, Rahajeng Kartika Setiadi Cahyono Putro Sharifah Saon Shofiyah Al Idrus Sias, Quota Alief Siswahyudianto Slamet Wibawanto Suparman Arif SUPRAPTO Syaad Patmanthara Titi Mutiara Kiranawati Tri Atmadji Sutikno Tuwoso Utomo Pujianto Valdez, Anabelie V. Wahyuningtyas, Ellvina Pramitadewi Wardani, Yurike Warsono Warsono Widad, Sofwul Widiyanti Widiyanti, Widiyanti Yuliati Holifah Yunita Merlin Tamara Yusuf Sobri, Ahmad