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All Journal DINAMIKA DOTCOM TEKNOLOGI INFORMASI SMATIKA Syntax Literate: Jurnal Ilmiah Indonesia International Journal of Science and Environment Transaction on Informatics and Data Science Mahardika Adiwidia Communica : Journal of Communication
Mochamad Husni
STMIK PPKIA Pradnya Paramita Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Sharing Knowledge Online Lintas Fungsi sebagai Strategi Komunikasi Organisasi saat Pandemi Husni, Mochamad
Jurnal Mahardika Adiwidia Vol. 1 No. 2 (2022): Mahardika Adiwidia 2022
Publisher : Magister of Communication Science, Sahid University Jakarta.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/mahardikaadiwidi.v1i2.744

Abstract

This research is based on the phenomenon that the management of PT Astra Agro Lestari Tbk applies the concept of a matrix organization in terms of the roles and responsibilities of public relations. The matrix pattern makes coordination happen across functions. The implementation of communication programs in the form of media relations in all subsidiaries spread across nine provinces becomes increasingly difficult when the work from home work pattern is implemented. This study wants to find out how the online sharing session strategy is carried out by the Communications and Public Affairs Division in overcoming the lack of knowledge of the Community Development Division as the field implementer of the communication program. The research method used is descriptive qualitative. Collecting data in this study using observation and interview techniques. Research concludes that online coordination can be a solution, but its effectiveness needs to be combined with cultural elements and formal strengths.
Konstruksi Realitas Petani Kelapa Sawit Dalam Film Naga Naga Naga: Analisis Semiotika Charles S. Peirce Husni, Mochamad; Putranto, Algooth
Jurnal Mahardika Adiwidia Vol. 2 No. 1 (2022): Mahardika Adiwidia 2022
Publisher : Magister of Communication Science, Sahid University Jakarta.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/mahardikaadiwidi.v2i1.1021

Abstract

The national palm oil industry is increasingly becoming the government's attention. In the midst of opinions about the dominance of big companies and the weak image of smallholder oil palm plantations, demonstrations triggered by the scarcity of cooking oil show the figure of Indonesian oil palm farmers. This study wants to explore how the media constructs the reality of oil palm farmers. The theory used is the social constructions of reality Peter L. Berger and Thomas Luckmann. While the descriptive qualitative research approach uses the semiotic analysis method of Charles Sanders Peirce. The data analysis technique used non-participant observation and secondary documents. The results of the research on the Naga Naga Naga film with the main character Nagabonar concluded that there is a semion with an interpretation of oil palm farmers. With the triangle of meaning method, oil palm farmers are constructed as people who are economically prosperous, have high nationalism, and have intelligent thoughts even though they are not formally educated. This study is also a reflection on the reality that occurs in the community.
Smartwatches, AI, and the Three Faces of Technological Determinism: A Marxist Critique of Digital Capitalism Uli Patrissia, Ressa; Husni, Mochamad
International Journal of Science and Environment (IJSE) Vol. 5 No. 3 (2025): August 2025
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v5i3.178

Abstract

This study explores the role of artificial intelligence (AI) in smartwatches through the critical lens of Karl Marx’s theory of technological determinism. In contrast to functionalist and adoption-centered analyses, the research problematizes the ideological and socio-economic structures underpinning wearable technologies. The objective is to reinterpret smartwatches not as neutral innovations but as artifacts embedded in digital capitalism—functioning simultaneously as autonomous agents, social constraints, and political instruments. Employing a qualitative, conceptual methodology grounded in Marxist historiography and critical media studies, the research synthesizes canonical texts with contemporary scholarship on AI, surveillance, and labor. The results reveal that AI-powered smartwatches reinforce capitalist imperatives of productivity, data commodification, and self-discipline, ultimately contributing to behavioral governance and user alienation. This study offers a dialectical framework that exposes the myth of technological neutrality and reframes wearable AI as a site of ideological reproduction. It contributes to communication and technology studies by advancing a historically grounded critique of how digital devices shape, and are shaped by, class dynamics, capitalist rationality, and power structures.
Framing the Floods: Temporal Shifts and Ecological Silences in Indonesian Media Husni, Mochamad
Communica : Journal of Communication Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/communica.v3i3.782

Abstract

Indonesia's increasing flood frequency and severity underscore the urgent need for comprehensive disaster reporting that highlights both natural and anthropogenic causes. This study investigates temporal changes in the media framing of flood disasters between 2020 and 2025, with a focus on ecological narratives in Indonesian online news outlets. Using Entman’s four-frame model problem definition, causal attribution, moral evaluation, and remedy recommendation this research analyzed 60 articles from five national media platforms. The articles, covering events in Jakarta, Kalimantan, Jabodetabek, and Pekalongan, were examined using NVivo-assisted coding and critical discourse analysis supported by ecolinguistic perspectives. Results show a persistent reliance on natural disaster framing in both 2020 and 2025, with technical and infrastructural narratives increasingly dominant in recent years. While there is a gradual integration of scientific and policy-relevant vocabulary such as “climate adaptation” and “urban resilience” ecological degradation remains underreported. Comparisons between years reveal an incremental shift toward accountability framing, yet ecological drivers like deforestation or land-use mismanagement continue to receive minimal attention. Furthermore, reliance on official sources and episodic coverage patterns limit public engagement with systemic environmental issues. The discussion highlights structural constraints including corporate influence, low media literacy, regulatory barriers, and editorial dependence on government narratives. Lessons from Global South countries illustrate how integrating grassroots voices and improving journalist training can strengthen environmental reporting. The study concludes by advocating for institutional reforms, enhanced ecological literacy, and the empowerment of community journalism as steps toward more transformative media practices.
Comparison of the Accuracy Between Naive Bayes Classifier and Support Vector Machine Algorithms for Sentiment Analysis in Mobile JKN Application Reviews Septiani, Erni; Akhriza, Tubagus M.; Husni, Mochamad
Transactions on Informatics and Data Science Vol. 1 No. 1 (2024)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v1i1.12232

Abstract

The Mobile JKN (National Health Insurance) application is a form of BPJS Health's commitment to implementing health insurance programs since 2014. The large number of reviews of the Mobile JKN application on the Google Play Store requires sentiment analysis with an algorithm that produces the best accuracy. This research compares the accuracy obtained from the Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) algorithms. This algorithm is implemented directly in sentiment analysis and combined with the Synthetic Minority Over-Sampling Technique (SMOTE) technique to overcome data imbalance. The data in this research was obtained from reviews of the Mobile JKN application on the Google Play Store using the data scraping method. We use data scraping and labeling processes before performing sentiment analysis. The sentiment analysis process includes text preprocessing and processing (modeling) by dividing the data into 30%, 40%, and 50% test data, with the rest becoming training data. The results of this research showed that the algorithm with the best accuracy was the NBC algorithm using the SMOTE technique with 50% test data and the SVM algorithm without the SMOTE technique with 50% test data. Both give the same accurate results, namely 0.90 or 90%. Experiments show that the amount of test data and the application of SMOTE affect the accuracy of the two compared algorithms.
Demagog Hoaks Kapitalisme Digital Perspektif Theodor W. Adorno dan Budaya Massa Patrissia, Ressa Uli; Husni, Mochamad
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i5.15860

Abstract

Kekhawatiran tentang pengaruh kapitalisme terhadap masyarakat, seperti yang diungkapkan oleh Adorno dan Horkheimer dalam Dialectic of Enlightenment. Tujuannya untuk memahami bagaimana industri budaya dan digitalisasi memengaruhi budaya dan politik kontemporer. Metode penelitian melibatkan analisis literatur dan data dari berbagai sumber untuk menggambarkan dampak digitalisasi, khususnya dalam penyebaran berita palsu dan pembentukan opini publik. Hasil menunjukkan bahwa teknologi, seperti media sosial dan kecerdasan buatan, telah menjadi alat utama dalam memengaruhi persepsi dan perilaku politik masyarakat. Hal ini tercermin dalam penyebaran berita palsu yang semakin meluas dan penggunaan teknologi untuk memanipulasi opini publik. Kesimpulannya, perlu perhatian serius terhadap masalah ini, dengan memperkuat literasi digital dan kritis masyarakat serta menegakkan regulasi yang membatasi penyebaran berita palsu.
Co-Authors Achmad Saiful Rizal Akhriza, Tubagus M. Andre Kurniawan Dwi Safiroh Utsalina Lestari, Elvira Verdhi Mahmud Yunus Muhammad Miqdad Mufadhdhal Patrissia, Ressa Uli Putranto, Algooth Sa’atul Ihsan Saipi -, Saipi Septiani, Erni Uli Patrissia, Ressa