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Program Edukasi Pembelajaran Kecerdasan Buatan untuk Meningkatkan Literasi dan Kemampuan Berpikir Kritis Siswa SMK N 1 Cipeundeuy Asep Wahyudin; Erna Piantari; Enjun Junaeti; Ani Anisyah
INCOME: Indonesian Journal of Community Service and Engagement Vol. 3 No. 4 (2024)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/income.v3i4.1275

Abstract

Critical thinking skills are one of the 21st century skills needed to prepare the younger generation in the era of society 5.0. Therefore, education should be designed not only to improve knowledge and skills but also critical thinking skills. In addition, of course, critical thinking skills need to be supported by mastery of the latest knowledge, one of which is knowledge of digital technology based on artificial intelligence. Vocational schools or vocational schools are educational institutions that focus on preparing students to be ready to work. By including an artificial intelligence curriculum designed with a form of learning that can improve critical thinking skills, vocational school graduates have greater potential in producing a generation that is ready to work and compete in the era of social 5.0. Therefore, this program is designed as an initiation of artificial intelligence technology education for vocational school students who focus on developing solutions in the form of artificial intelligence-based technology products
Algorithm Transparency, Seller Trust, and Service Quality on Indonesian Marketplace Platforms Tri Septiar Syamfithriani; Munir Munir; Chairul Furqon; Asep Wahyudin
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 4 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i4.447

Abstract

Background: Online marketplaces increasingly rely on algorithmic systems to determine product visibility, ranking positions, and seller performance evaluations. When sellers have a limited understanding of how these mechanisms operate, uncertainty may arise, potentially affecting the seller–platform relationship. Objective: This study examines the relationship between algorithm transparency and seller service quality and assesses whether sellers’ trust in the platform mediates this relationship. Methods: An explanatory quantitative research design was adopted, with 150 Indonesian marketplace sellers recruited through purposive sampling. A questionnaire comprising 16 items measured algorithm transparency, sellers’ trust in the platform, and seller service quality using a five-point Likert scale. The data were analyzed using partial least squares structural equation modeling (PLS-SEM), including assessments of the measurement and structural models and hypothesis testing. Results: The findings indicate that algorithm transparency is positively and significantly associated with seller service quality (β = 0.569, t = 5.130, p < 0.001) and seller trust in the platform (β = 0.811, t = 23.451, p < 0.001). Seller trust in the platform is also positively and significantly associated with seller service quality (β = 0.346, t = 3.224, p = 0.001). Furthermore, seller trust in the platform mediates the relationship between algorithm transparency and seller service quality (β = 0.280, t = 3.109, p = 0.002). Conclusion: Algorithm transparency is positively associated with seller service quality and sellers’ trust in the platform. The findings highlight the need for marketplaces to communicate clear and readily understandable information about algorithmic mechanisms, particularly those governing product rankings, visibility, performance evaluations, and algorithmic changes. Such transparency may help build sellers’ trust and improve the quality of services delivered to consumers.
Aplikasi Mobile Pemantauan Kualitas Udara: Tinjauan Sistematis Implementasi API dan Tren Pengembangan Farhan Muzhaffar Tiras Putra; Herbert Siregar; Asep Wahyudin
QISTINA: Jurnal Multidisiplin Indonesia Vol. 4 No. 1 (2025): June 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i1.6179

Abstract

Polusi udara sebagai masalah kesehatan global yang signifikan telah mendorong pengembangan aplikasi mobile dan implementasi API untuk pemantauan kualitas udara yang lebih efektif. Perkembangan teknologi sensor, IoT, dan komputasi mobile membuka peluang untuk pemantauan kualitas udara yang lebih responsif. Tinjauan sistematis ini menganalisis implementasi API dan aplikasi mobile dalam pemantauan kualitas udara selama periode 2011-2022, berfokus pada arsitektur teknologi, fitur aplikasi, dan tantangan implementasi. Pencarian sistematis dengan metodologi PRISMA pada database Scopus menghasilkan 43 artikel, dengan 12 artikel jurnal memenuhi kriteria inklusi untuk analisis mendalam. Hasil menunjukkan dominasi platform Android (50%) dan arsitektur RESTful API (75%) dengan tren menuju integrasi WebSocket dan GraphQL untuk komunikasi real-time. Mayoritas aplikasi (66,7%) mengintegrasikan data dari beberapa sumber, menggunakan visualisasi berbasis peta dan indikator warna. Parameter kualitas udara yang paling umum dipantau meliputi suhu (33,3%), PM2.5 (25%), dan kelembaban (25%). Tantangan utama meliputi pemrosesan data real-time (33,3%), akurasi sensor (25%), dan integrasi data (25%). Teridentifikasi peningkatan personalisasi berdasarkan lokasi dan profil kesehatan, meskipun evaluasi dampak jangka panjang masih terbatas. Kesenjangan signifikan ditemukan dalam standardisasi API dan implementasi di negara berkembang, dengan tidak adanya studi dari Afrika, Amerika Selatan, dan Oceania. Hasil penelitian memberikan dasar untuk pengembangan aplikasi pemantauan kualitas udara yang lebih efektif.