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Implementasi Media Audio Visual Dalam Meningkatkan Kemampuan Berpikir Kritis Siswa Pada Pembelajaran Akidah Akhlak Abdillah, Syafri Royyan; Laili Sulistiani; Lubna; Wildan
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 1 (2025): Februari
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i1.1532

Abstract

Penelitian ini bertujuan untuk menganalisis implementasi media pembelajaran dalam meningkatkan kemampuan berpikir kritis siswa dalam pembelajaran aqidah akhlak di sekolah. Secara khusus, penelitian ini membahas seberapa baik kemampuan berpikir kritis siswa meningkat dengan bantuan media. Latar belakang penelitian ini bermula dari rendahnya motivasi dan kurangnya aktivitas kelas dalam pembelajaran aqidah akhlak, karena pembelajaran selalu menggunakan metode konvensional. Penelitian ini menggunakan metode kualitatif, melalui observasi dan wawancara di kelas X MA NWDI Putri Narmada. Hasil penelitian menunjukkan bahwa (1) media audio-visual yang digunakan dalam pembelajaran aqidah akhlak adalah smart TV dan guru menggunakan video pembelajaran sebagai dasar pembelajaran. (2) Media audio-visual ini memiliki peran yang cukup besar bagi siswa dalam memahami pelajaran, serta menarik. Siswa diminta untuk berpikir kritis dalam menyimpulkan isi pelajaran dari apa yang telah mereka amati.
PENGARUH CITRA MEREK DAN PROMOSI TERHADAP MINAT BELI KONSUMEN PRODUK SKINCARE WARDAH DI SUKABUMI Solihin, rRadus; Wildan; Ruswandi, Wawan
Indonesian Journal of Social Science and Education (IJOSSE) Vol. 2 No. 1 (2026): Vol 2 No 1: Edisi Januari 2026
Publisher : JCI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/ijosse.v2i1.1926

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh citra merek dan promosi terhadap minat beli konsumen produk skincare Wardah di Kota Sukabumi dengan pendekatan kuantitatif asosiatif. Sampel terdiri dari 97 responden dengan kriteria berusia minimal 17 tahun dan pernah menggunakan produk Wardah, yang datanya dikumpulkan menggunakan kuesioner skala Likert dan dianalisis melalui berbagai uji statistik. Hasil penelitian menunjukkan bahwa citra merek berpengaruh positif namun tidak signifikan terhadap minat beli, sementara promosi berpengaruh positif dan signifikan. Ketika diuji secara simultan, kedua variabel tersebut berpengaruh signifikan dengan koefisien determinasi 25,8%, yang berarti keduanya hanya menjelaskan sebagian kecil variasi minat beli. Temuan ini mengindikasikan bahwa strategi promosi yang menarik dan konsisten adalah faktor utama dalam meningkatkan minat beli, sedangkan citra merek perlu diperkuat untuk memberikan dampak yang lebih besar
Forecasting Demand for Cardboard Boxes Using Some Forecasting Method at PT XYZ Gozali, Lina; Wildan; Sukania, I Wayan; Ali, Ahad; Susanto, Sani
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.22252

Abstract

In the manufacturing sector, accurate demand forecasting is essential for effective material planning and inventory management. PT. XYZ, a company specialising in the production of corrugated carton boxes, currently faces challenges aligning raw material procurement with market demand due to the use of subjective, non-systematic forecasting methods. This research proposes applying statistical forecasting techniques to develop a more reliable and automated forecasting system. The study utilises historical monthly sales data collected over a one-year period, which are analysed using time series forecasting methods. The models are assessed based on key forecasting error metrics, including mean absolute deviation, mean squared error, and mean absolute percentage error. The model construction, data processing, and visualisation, thereby improving efficiency and reducing manual intervention. The findings reveal that combining seasonal statistical models with programming tools enhances forecast accuracy and supports data-driven decision-making within the organisation. This forecasting system can assist the planning division of PT. XYZ is optimising raw material allocation, reducing excess inventory, and preventing material shortages. In conclusion, the study recommends that PT. XYZ implements the decomposition forecasting model as a practical solution for improving the quality of its sales data. The research contributes to the development of forecasting systems tailored for industrial environments with fluctuating, seasonal demand.
The Influence of Experimental Methods on NaturalScience Learning Outcomes Wildan
Education Studies and Teaching Journal (EDUTECH) Vol. 1 No. 1 (2024): Education Studies and Teaching Journal (EDUTECH)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/sr30x492

Abstract

The purpose of this study was to determine the effect of the experimental methodon the learning outcomes of Natural Science in Class V students at MI Ash-ShobirinSamarinda and to find out how much influence the application of the experimentalmethod had on learning outcomes in Science in Class V students at MI Ash-ShobirinSamarinda. This study uses a quantitative approach with a quasi-experimentalresearch design. Data collection techniques using tests, observation anddocumentation. The test is used to determine student learning outcomes on theapplication of the experimental method. Observation is used to observe theteacher's ability to use the experimental method. And documentation is used fordata collection related to research. The variables in this study consisted of variableX experimental method and variable Y learning outcomes from science learning.The sample in this study were all fifth grade students at MI Ash-ShobirinSamarinda, totaling 45 people. The experimental class consisted of 23 students andthe control class consisted of 22 students. The data validity technique uses validityand reliability tests. The data analysis technique uses an independent T-test. Theresults obtained from the independent t-test in the experimental group against thecontrol group showed a significance value of 0.013 less than 0.05. Then it is statedthat Hₐis accepted and H₀ is rejected. It can be concluded that there is an effect ofthe use of the Experimental Method on the learning outcomes of natural scienceon single and mixed substances in class V students at MI Ash- Shobirin Samarinda.
Arsitektur Mesh 6G-IoT Menggunakan Intelligent Reflecting Surfaces (IRS) untuk Optimasi Sinyal di Area yang Sulit Dijangkau Wildan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 2: April 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.132

Abstract

Perkembangan jaringan 6G diproyeksikan menjadi fondasi utama bagi ekosistem Internet of Things (IoT) berskala masif dengan kebutuhan cakupan yang luas, latensi sangat rendah, serta efisiensi energi tinggi. Namun, area sulit jangkau seperti pedesaan terpencil, daerah pegunungan, atau wilayah dengan banyak halangan fisik masih menjadi tantangan utama bagi operator jaringan. Di sisi lain, arsitektur jaringan mesh dan teknologi Intelligent Reflecting Surfaces (IRS) muncul sebagai kandidat kuat untuk membentuk lingkungan radio yang dapat diprogram dan memperluas jangkauan sinyal tanpa menambah daya pancar secara signifikan. Artikel ini mengusulkan sebuah arsitektur mesh 6G-IoT berbasis IRS yang dirancang khusus untuk mengoptimasi kualitas sinyal di area sulit jangkau. Kontribusi utama penelitian ini meliputi: (1) perancangan topologi mesh 6G-IoT yang memanfaatkan node IoT sebagai relay adaptif; (2) integrasi IRS sebagai “reflektor cerdas” pada titik-titik bayangan sinyal (non-line-of-sight); dan (3) formulasi model optimasi gabungan pemilihan rute mesh dan konfigurasi fase IRS untuk memaksimalkan Signal-to-Interference-plus-Noise Ratio (SINR) dan probabilitas cakupan. Hasil simulasi konseptual menunjukkan bahwa arsitektur yang diusulkan mampu meningkatkan SINR rata-rata hingga sekitar 35% dan cakupan area hingga 30% dibandingkan skema mesh tanpa IRS, serta lebih efisien energi dibandingkan pendekatan penambahan base station konvensional. Penelitian ini mengindikasikan bahwa kombinasi mesh 6G-IoT + IRS berpotensi menjadi solusi praktis untuk memperkecil kesenjangan digital di area sulit dijangkau.   Abstract The development of 6G networks is projected to become a fundamental foundation for massive-scale Internet of Things (IoT) ecosystems, characterized by wide coverage requirements, ultra-low latency, and high energy efficiency. However, hard-to-reach areas such as remote rural regions, mountainous terrains, and environments with significant physical obstructions remain major challenges for network operators. Meanwhile, mesh network architectures and Intelligent Reflecting Surfaces (IRS) have emerged as strong candidates for creating programmable radio environments and extending signal coverage without significantly increasing transmit power. This article proposes an IRS-assisted 6G-IoT mesh architecture specifically designed to optimize signal quality in hard-to-reach areas. The main contributions of this study include: (1) the design of a 6G-IoT mesh topology that leverages IoT nodes as adaptive relays; (2) the integration of IRS as “intelligent reflectors” deployed at signal shadowing (non-line-of-sight) locations; and (3) the formulation of a joint optimization model for mesh route selection and IRS phase configuration to maximize the Signal-to-Interference-plus-Noise Ratio (SINR) and coverage probability. Conceptual simulation results demonstrate that the proposed architecture can improve average SINR by approximately 35% and area coverage by up to 30% compared to conventional mesh schemes without IRS, while also achieving higher energy efficiency than traditional base station densification approaches. These findings indicate that the combination of 6G-IoT mesh networks and IRS has strong potential as a practical solution to reduce the digital divide in hard-to-reach areas.
Instructional Game Strategies in Education: A Meta-Analysis of Gamification and Game-Based Learning on Student Engagement, Motivation, and Academic Achievement Radhiani, Ahyani; Farouk Abouseada; Wildan; Kameliani
International Journal of Learning Reformation in Elementary Education Vol. 5 No. 02 (2026): Article in Press - International Journal of Learning Reformation in Elementary
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.ijlree.001911

Abstract

This study aims to explore the effects of gamification and game-based learning on learners’ behavior, which includes academic performance, involvement, and motivation. It also analyzes the efficacy and prevalence of gamification as well as gaming-oriented learning research across diverse educational stages, regions, and scientific fields. This meta-analysis consists of 60 selected articles published between 2013 and 2023 on Scopus, ERIC, and the Web of Science, that have passed the screening process and met the predetermined criteria. Findings show that gamification generates bigger influence on learners’ engagement (0.65 [0.43, 0.87]), while game-based learning has more impact on motivation (0.46 [0.28, 0.64]) and achievement (1.09 [0.60, 1.59]). Results also indicate that the effectiveness of gamification and game-based learning is more prevalent at the university level, in South Asian countries, and in the humanities. On the contrary, research on these learning methods is more popular at the university level, in East Asian countries, and within the sciences field.