This study examines the relationship between artificial intelligence (AI) media narratives and digital literacy levels in Indonesia, focusing on their combined impact on information resilience and misinformation vulnerability. Through a mixed-methods approach involving content analysis of five major Indonesian media outlets (2022–2024), a survey of 384 respondents across South Sulawesi, and in-depth interviews with 15 media professionals, this research reveals significant gaps between AI media coverage and public understanding. The findings indicate that while 76% of Indonesian media coverage presents AI as a technological solution to misinformation, only 32% of the surveyed population demonstrates adequate digital literacy skills to evaluate AI-generated content critically. The study identifies three distinct patterns of AI media framing: technological optimism (47%), cautionary realism (33%), and dystopian skepticism (20%). These findings contribute to understanding how media narratives about emerging technologies influence public digital literacy and information resilience, particularly in developing digital economies where technological adoption often outpaces digital education initiatives.

This study examines the transformation of masculine representation across television and digital platforms in Indonesian reality shows. We identified distinct patterns of masculine representation emerging across platforms through a mixed-method analysis of 240 h of television programming, 1100 digital media items, and survey data from 1000 respondents. Our study reveals a significant decline in traditional masculine representations from 85% to 30% between 2019 and 2024, accompanied by the rise of “platform-specific masculinities”. The research identifies three primary categories: traditional (dominated by competitive achievement), emotional (characterized by interpersonal connection), and creativity (marked by innovative self-expression). Digital platforms demonstrate higher engagement rates for emotional (380 k interactions) and creative content (320 k interactions) compared to traditional representations (180 k interactions), particularly among younger audiences (18–24). While television maintains predominantly traditional representations (65%), digital platforms, especially TikTok, show higher proportions of emotional (42%) and creative (45%) expressions. These findings contribute to understanding how platform characteristics influence gender representation and suggest implications for media production in Southeast Asia.

This study examines how environmental journalists in Eastern Indonesia develop innovative digital strategies to counter corporate disinformation while maintaining credible climate reporting amid systematic censorship and algorithmic suppression. Through ethnographic fieldwork with 34 environmental journalists in Makassar and surrounding maritime communities (2023–2024), combined with digital platform analysis and content verification tracking, this investigation reveals how local journalists create “networked verification archipelagos” that mirror traditional maritime communication systems to combat extractive industry misinformation. Our analysis revealed three primary counter-disinformation mechanisms: (1) community-based verification networks that successfully identified 87% of corporate misinformation within 48 h through traditional knowledge integration; (2) algorithmic resistance strategies that increased environmental content visibility by 156% through cultural framing techniques; and (3) cross-platform coordination that maintained journalist communication networks despite 34 documented censorship campaigns. These networks enable accurate environmental reporting despite corporate-sponsored disinformation campaigns, government restrictions on mining coverage, and social media algorithms that amplify climate denial content. The research demonstrates how journalists in the Global South develop decolonial approaches to counter-disinformation that challenge Western platform-centric fact-checking models while maintaining journalistic credibility and community accountability. These findings contribute to understanding power dynamics and coloniality in disinformation studies while offering insights for media literacy and democratic integrity in climate-vulnerable regions.

Reklamasi merupakan peralihan wilayah perairan menjadi daratan dengan penimbunan. Reklamasi bertujuan untuk memaksimalkan pemanfaatan lahan untuk meningkatkan potensi suatu daerah sehingga diperlukan kerja sama yang baik antara penyelenggara dan masyarakat. Untuk mewujudkan hal tersebut diperlukan perencanaan komunikasi yang efektif dari pemerintah kepada masyarakat dan sebaliknya. Perencanaan komunikasi tidak hanya dibutuhkan untuk memberikan informasi mengenai manfaat dan risiko pembangunan, tetapi juga membangun hubungan yang positif antara pemerintah dan masyarakat. Penelitian ini bertujuan untuk menganalisis perencanaan komunikasi reklamasi Pemprov Sulsel dalam kaitannya dengan partisipasi masyarakat. Fokus penelitian ini adalah untuk menganalisis perencanaan komunikasi yang diterapkan oleh Pemprov Sulsel pada untuk meningkatkan partisipasi masyarakat Pulau Lae-Lae dalam rencana pembangunan. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan pendekatan studi kasus. Teknik pengumpulan data adalah dengan observasi, dokumentasi, studi pustaka dan wawancara yang dilakukan bersama informan yang dipilih menggunakan teknik purposive sampling. Hasil penelitian ini menunjukkan bahwa dalam perencanaan komunikasi, Pemprov Sulsel telah menerapkan proses pengumpulan fakta, definisi permasalahan dan pelaksanaan komunikasi.

Hujan ataupun cuaca buruk hingga saat ini menjadi masalah utama bagi masyarakat yang memiliki jemuran. Biasanya pakaian yang dijemur sering ditinggalkan, sehingga tidak sempat lagi mengambil jemuran pada saat hujan ataupun saat malam. Untuk mengatasi masalah tersebut perlu sistem kontrol jemuran otomatis. Dengan merancang semua alat mulai dari Sensor Light Dependent Resistor (LDR) sebagai pendeteksi cahaya, Sensor air sebagai pendeteksi air hujan, Motor Stepper sebagai penggerak, dan Arduino Uno sebagai pembuat perintah. Dari hasil pengujian alat yang sudah dirancang, Alat bekerja setiap sensor membaca cuaca sekitar, seperti ketika sensor tidak mendeteksi cahaya maka Arduino akan menerjemahkan keadaan sekitar sebagai keadaan gelap, sehingga motor Stepper akan menarik jemuran kedalam. Ketika sensor LDR mendeteksi sinar matahari maka Arduino akan menerjemahkan cuaca disekitar panas, secara ortomatis jemuran akan keluar. Sedangkan ketika sensor air mendeteksi tetesan air maka diterjemahkan oleh Arduino sebagai cuaca hujan kemudian Motor Stepper akan menarik jemuran ke dalam

Online shopping is popular among generations Y and Z in Indonesia. This research study evaluated consumer online shopping behavior in Eastern Indonesia, a lower income and lower internet penetration region than western Indonesia. Online study questionnaires were distributed to the region's main cities or provincial capitals to collect profile data on the internet and social media use in the Indonesian society. A total of 613 respondents completed the questionnaires. Correspondence analysis was used to assess the relationship between two categorical variables. Instagram was the most popular social media followed by Facebook, Youtube, Twitter, and TikTok. Most of the respondents used more than one platform. Almost all respondents had shopped online (95.76%) after a product review from mainly consumer reviews and rarely from promotions by influencers. However, online shoppers were still wary of products that did not match their online description.