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All Journal JKIE (Journal Knowledge Industrial Engineering) Jurnal Nasional Komputasi dan Teknologi Informasi Asian Journal of Agriculture DIDAKTIKA : Jurnal Kependidikan Jurnal Manajemen Informatika dan Sistem Informasi Majalah Ilmiah Warta Dharmawangsa JATI (Jurnal Mahasiswa Teknik Informatika) Physical Activity Journal (PAJU) Journal of Physical and Outdoor Education JURNAL MANAJEMEN AKUNTANSI (JUMSI) Jurnal Res Justitia : Jurnal Ilmu Hukum PESAGI (Jurnal Pendidikan dan Penelitian Sejarah) Jurnal Informatika Teknologi dan Sains (Jinteks) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Engineering Applications (JAIEA) UPMI Proceeding Series Journal
Wahyudi, Rizky
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

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Poverty Rate VS TPACK Mastery: A Study of Physical Education Teachers Candidate from Low-Income Families Karisman, Vicki Ahmad; Wahyudi, Rizky
Physical Activity Journal (PAJU) Vol 5 No 2 (2024): Physical Activity Journal (PAJU)
Publisher : Department of Physical Education, Faculty of Health Sciences, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.paju.2024.5.2.11735

Abstract

This study examined the mastery of Technological Pedagogical Content Knowledge (TPACK) for Physical Education (PE) teachers candidates from low-income families. Candidate teachers from low-income families have less access to information technology, so this research examines the mastery level of TPACK among physical education teachers from low-income families. This research used a quantitative approach with a survey method. The survey instrument utilized a TPACK survey to assess the mastery of technology in the teaching and learning process. The participants involved in this study were 146 students who received the Kartu Indonesia Pintar (KIP) Scholarship (government scholarship) and came from low-income families. The results showed that the candidate teachers were included in a Good TPACK skills category. This result indicates that low income does not affect the ability to master TPACK skills. This study rejects the notion that low-income students have low mastery of technology.
The Role of Parents in Instilling Honesty in Children at SDN 55 Otting Takbir, Takbir; Sulferawati, Sulferawati; Wahyudi, Rizky; Nurul Sari Mansur, Desya; Sulfiana, Sulfiana
DIDAKTIKA Vol 18 No 1 (2024)
Publisher : Fakultas Tarbiyah Institut Agama Islam Negeri (IAIN) Bone

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30863/didaktika.v18i1.10896

Abstract

This study aims to describe how the role of parents in instilling honesty in children. The stages of character formation will be correlated with psychological theory. This research is a descriptive qualitative research with an approach single case study to a complex and comprehensive picture obtained from informants, as well as the research background as it is. Data collection teachique in his study are interviews, observation and documentation. Character building honesty in children in the family is very important family is the first environment a place where children grow develop and build a personality that will become their identity later. Exemplary and direct examples of honesty that parents do will be embedded in child’s memory. Familiarizing children to be honest with themselves is the beginning of the formation of honeaty for the capital of his life. The intensity of the presence, the caress of affection, the warmth and attention that parents give their children play an imporatant role in shaping honesty character. Teachers also play an important role in forming honesty characters in children when they are taught school by setting an example and honest behavior. The result of the study foud that forming honesty character, children are not only equipped with cognitive knowledge about honesty but also must to the affective domain and implemented in real behavior.
PERANCANGAN PROTOTYPE SISTEM PEMANTAUAN SLOT PARKIR CERDAS DENGAN NOTIFIKASI REAL-TIME BERBASIS INTERNET OF THINGS Wahyudi, Rizky; Saludin, Saludin
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6452

Abstract

Penelitian ini merancang prototipe sistem pemantauan slot parkir cerdas dengan notifikasi real-time berbasis Internet of Things (IoT) di Politeknik Bisnis Digital Indonesia. Sistem dibangun untuk mengatasi keterbatasan kapasitas parkir dan ketiadaan informasi ketersediaan slot. Perangkat keras yang digunakan meliputi ESP32, sensor ultrasonik, RFID MFRC-522, motor servo, LCD, buzzer, dan LED, sedangkan perangkat lunak menggunakan Node.js, PHP, HTML, dan protokol MQTT. Metode pengembangan menggunakan V-Model dari analisis kebutuhan hingga pengujian. Hasil implementasi menunjukkan sistem mampu mendeteksi ketersediaan slot, memverifikasi pengguna, serta mengirimkan informasi real-time ke dashboard web, sekaligus mengelola akses kendaraan secara otomatis dan menyimpan data ke database. Sistem berfungsi baik sesuai kebutuhan dan dapat dikembangkan dengan teknologi Machine Learning untuk pengenalan plat nomor dan pengelolaan parkir bertingkat.
Strategi Komunikasi Edukatif Dalam Membangun Budaya Daur Ulang: Kajian Konseptual Pengelolaan Sampah Di Kota Medan Octavia, Dina; Wahyudi, Rizky; Wahyuni, Tri; Ginting, Syahdani Faddlah; Daulay, Ezy Maulana; Jannah, Miftahul
Jurnal Warta Dharmawangsa Vol 20, No 1 (2026)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wdw.v20i1.8253

Abstract

Penerapan Data Lifecycle Management Otomatis pada Sistem Informasi Karyawan Berbasis Web Wahyudi, Rizky; Kiswanto, Dedy; Singgam, Pritiy; Azis, Khildan Rifail
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.9911

Abstract

Abstrak - Pengelolaan data karyawan yang efektif menuntut sistem yang mampu mengatur siklus hidup data secara otomatis, aman, dan efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi karyawan berbasis web dengan menerapkan Data Lifecycle Management (DLM) otomatis menggunakan scheduler dan event-based trigger. Sistem dikembangkan dengan framework Laravel dan basis data MySQL, serta diperkuat dengan mekanisme Role-Based Access Control (RBAC) untuk pembatasan hak akses dan Two-Factor Authentication (2FA) berbasis OTP email guna meningkatkan keamanan data. Pengujian dilakukan menggunakan metode black-box testing pada sembilan fitur utama, termasuk pengelolaan pengguna, absensi, dan retensi data otomatis. Hasil pengujian menunjukkan seluruh fitur berjalan sesuai rancangan tanpa kesalahan fungsional, sementara proses retensi berhasil mengeksekusi penghapusan dan pengarsipan data secara terjadwal. Kebaruan penelitian ini terletak pada integrasi antara DLM otomatis, RBAC, dan 2FA dalam satu platform yang saling terhubung, menjadikannya model implementasi yang dapat direplikasi untuk sistem informasi organisasi modern. Penelitian ini diharapkan berkontribusi terhadap peningkatan keamanan, efisiensi, dan kepatuhan dalam pengelolaan data karyawan di era digital.Kata kunci : Data Lifecycle Management; Sistem Informasi Karyawan; Role-Based Access Control; Two-Factor Authentication; Laravel; Abstract - Effective employee data management requires a system capable of managing the data lifecycle automatically, securely, and efficiently. This study aims to design and implement a web-based employee information system that integrates automated Data Lifecycle Management (DLM) using a scheduler and event-based triggers. The system was developed using the Laravel framework and MySQL database, strengthened by Role-Based Access Control (RBAC) to manage user permissions and Two-Factor Authentication (2FA) via email-based OTP to enhance data security. System testing was conducted using the black-box testing method across nine main features, including user management, attendance tracking, and automated data retention. The results show that all features performed as expected without functional errors, and the retention process successfully executed automatic data archiving and deletion according to schedule. The novelty of this research lies in the integration of automated DLM, RBAC, and 2FA within a unified platform, providing a practical and replicable model for modern organizational information systems. This study contributes to improving data security, efficiency, and compliance in employee data management within the digital era.Keywords: Data Lifecycle Management; Employee Information System; Role-Based Access Control; Two-Factor Authentication; Laravel;
Assessment of soil quality changes following land reclamation at the Martabe Gold Mine, South Tapanuli, Indonesia ANWAR, SYAIFUL; MANSOR, ASYRAF BIN; HARIS, HAZEEMAN; DHARSONO, MAHYU; LUBIS, ABDILLAH; WAHYUDI, RIZKY; FATHIYA, NIR
Asian Journal of Agriculture Vol. 9 No. 2 (2025)
Publisher : Smujo International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g090229

Abstract

Abstract. Anwar S, Mansor AB, Haris H, Dharsono M, Lubis A, Wahyudi R, Fathiya N. 2025. Assessment of soil quality changes following land reclamation at the Martabe Gold Mine, South Tapanuli, Indonesia. Asian J Agric 9: 623-628. Mining at Martabe Gold Mine, South Tapanuli, North Sumatra, Indonesia, caused severe soil degradation, requiring effective reclamation. This study evaluated the recovery of soil chemical properties in reclamation sites aged 3, 6, and 10 years compared with adjacent natural forest. Soil samples were analyzed for pH, organic carbon (C), total nitrogen (N), C/N ratio, available phosphorus (P), exchangeable cations (Ca, Mg, K, Na), and Cation Exchange Capacity (CEC). Results showed age-dependent recovery. The 10 year sites had pH (5.03) closest to forest (4.96), while younger sites remained more acidic (4.80-4.88). Organic C (7.68%) and total N (0.15%) increased with age but were still below forest levels (16.99% and 0.37%). The C/N ratio distinguished recovery stages: 3-6 year sites showed rapid turnover (C/N=5.00-7.33), whereas 10 year sites resembled forest (53.67). Available P peaked at 6 years (21.38 mg/kg) before declining, and exchangeable cations showed variable patterns. CEC peaked in 10 year sites (86.30 cmol/100 g), exceeding forest (49.87 cmol/100 g), indicating improved nutrient retention. Correlation with forest soils was strong (R²=0.87). These results demonstrate substantial recovery of soil chemical properties within a decade, though long-term organic matter accumulation and balanced nutrient management remain essential for full ecosystem restoration.
Implementation of IoT and Machine Learning for Monitoring and Prediction of Tank Water Levels Wahyudi, Rizky; Kiswanto, Dedy; Aulia, Windy; Audy Priscilia, Selfi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1936

Abstract

The availability and quality of clean water in household storage tanks are essential yet often overlooked until problems such as depletion or contamination occur. Manual monitoring methods that rely on physical inspection tend to be inefficient, prone to delay, and unable to support predictive decision-making. This study proposes an automated monitoring solution by integrating Internet of Things (IoT) technology with Machine Learning-based analysis. The system is developed using an ESP32 microcontroller that continuously collects real-time data from an ultrasonic sensor to measure water level and a turbidity sensor to assess water clarity. The time-series data obtained is then analyzed using two algorithmic approaches. Linear Regression is employed to model the water depletion rate and generate predictions regarding the estimated remaining duration before the tank reaches an empty state. In parallel, Random Forest is applied as a comparative model to validate prediction accuracy under non-linear consumption patterns. Experimental results demonstrate that the combined IoT–Machine Learning framework provides accurate, timely, and informative insights for users. The proposed system improves water usage efficiency and strengthens early warning capabilities, making it a practical solution for supporting effective household water management.
OPTIMASI SELEKSI FITUR PREDIKSI SAHAM MENGGUNAKAN QUANTUM INSPIRED METAHEURISTIC DAN LIGHTGBM Wahyudi, Rizky; Azima Lubis, Fauzan; Aulia, Windy; Perdana, Adidtya
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/g7vb2b04

Abstract

Penelitian ini bertujuan untuk meningkatkan akurasi prediksi return harian saham perbankan Indonesia melalui penerapan metode seleksi fitur berbasis metaheuristik QIMA (Quantum-Inspired Multi-Objective Algorithm) pada model LightGBM. Permasalahan utama yang diangkat meliputi tingginya multikolinearitas antar-fitur teknikal, rendahnya validitas prediksi model baseline, serta mahalnya biaya komputasi saat menggunakan fitur penuh. Penelitian ini menggunakan 38 indikator teknikal yang kemudian direduksi menggunakan QIMA untuk memperoleh subset fitur optimal yang memaksimalkan akurasi sekaligus meminimalkan kompleksitas model. Hasil eksperimen menunjukkan bahwa model baseline mengalami overfitting dengan nilai R² negatif pada sebagian besar saham. Penerapan QIMA berhasil memperbaiki kinerja model menjadi positif pada BBCA (0,0006) dan BBNI (0,0173), serta menstabilkan performa BBRI dan BMRI. Selain itu, jumlah fitur berhasil direduksi sebesar 68,42% dengan waktu pelatihan yang lebih cepat hingga 6–7 kali lipat. Analisis fitur terpilih mengungkap bahwa volatilitas jangka pendek, return berbasis momentum, serta lag harga dan volume merupakan indikator yang paling relevan dalam memengaruhi pergerakan harga saham jangka pendek. Secara keseluruhan, studi ini membuktikan bahwa QIMA mampu meningkatkan validitas prediksi, efisiensi komputasi, dan interpretabilitas model dalam konteks pasar saham Indonesia.
Co-Authors Adidtya Perdana, Adidtya Alfin, Muhammad Amanah, Fadilla Andri Soemitra Arnita Arnita Audy Priscilia, Selfi Aulia, Windy Azima Lubis, Fauzan Azis, Khildan Rifail Bush Henrydunan, John Daulay, Ezy Maulana Dedy Kiswanto DHARSONO, MAHYU Fauzani, Najua Ginting, Syahdani Faddlah Gita Febria Friskawati Haikal Al Majid, Muhammad Harahap, Muhammad Ikhsan HARIS, HAZEEMAN I Nyoman Wahyu Widiana, I Nyoman Wahyu Impana Manik, Kristin Indiani, Ni Luh Kana Saputra S Lubis, Abdillah Mabilla, Anung MANSOR, ASYRAF BIN Maskun Miftahul Jannah Nir Fathiya Nurul Sari Mansur, Desya Octavia, Dina Priandana, Nugraha Gading Purnomo Ramadhani, Fanny Saludin, Saludin Singgam, Pritiy Sulferawati, Sulferawati SULFIANA, SULFIANA Sumargono Syaiful Anwar Takbir, Takbir tri wahyuni Yazid Noor, Muhammad