Mosaik Peradaban: Interaksi Manusia dan Kebudayaan

The author in this book emphasizes that culture is an entity that continues to develop, starting from simple forms to reaching higher complexity. This development not only functions as a means of adaptation, but also as a way for humans to find solutions to the various challenges they face. More than that, culture is a reflection of the human way of life which is based on a system and symbols of values, which ultimately places humans in a transcendent reality

Technology Readiness Index (TRI) Pengguna Kompor Induksi di Indonesia (Studi Kasus: Pilot Project Konversi Kompor Gas LPG ke Kompor Induksi di Surakarta)

To reduce dependency on LPG imports, the Indonesian government, through PT PLN (Persero), is implementing a project to convert LPG gas stoves to induction stoves, utilizing the national electricity surplus and reducing the energy subsidy burden. This study measures the technology readiness level of induction stove users in Surakarta, specifically the Beneficiary Families (KPM), using the technology readiness index (TRI). The results show that the KPM's TRI value is 3.33, which falls into the moderate category, indicating that the KPMs are considered pioneers ready to adopt this technology. However, there are still concerns about the technology's performance not meeting their expectations. The academic contribution of this study lies in developing an understanding of the adoption of induction stove technology in Indonesia, particularly the technology readiness within the community. The practical implications suggest the need for communication and training strategies to alleviate users' anxieties. From a social, economic, and environmental perspective, stakeholders need to formulate policies that support this transition by considering energy sustainability, reducing dependence on fossil fuels, and improving community welfare.Dalam upaya mengurangi impor LPG (Liquefied Petroleum Gas), Pemerintah Indonesia melalui PT PLN (Persero) melakukan proyek percontohan untuk mengkonversi kompor gas LPG menjadi kompor induksi. Program ini mengacu pada ketidakpastian harga minyak dunia yang menyebabkan fluktuasi nominal subsidi LPG 3 kg. Pada saat yang sama, PT PLN (Persero) sedang membangun pembangkit listrik dengan daya 35.000 MW, hal ini mengakibatkan Indonesia memiliki cadangan listrik surplus yang lebih besar. Salah satu upaya untuk meningkatkan penyerapan penggunaan listrik sekaligus mengurangi beban subsidi adalah dengan mengkonversi bahan bakar gas menjadi listrik. Penelitian ini diperlukan untuk mengetahui tingkat kesiapan Keluarga Penerima Manfaat (KPM) kompor induksi di Surakarta. Tingkat kesiapan teknologi dapat dihitung menggunakan Technology Readiness Index (TRI). Nilai TRI untuk KPM kompor induksi di Surakarta adalah 3,33, sehingga termasuk dalam kategori sedang. Hasil ini mencerminkan bahwa KPM di Surakarta dikategorikan dalam kelompok pelopor dan siap dengan teknologi kompor induksi, namun masih ada indikasi bahwa mereka khawatir penggunaan kompor induksi tidak sesuai dengan harapan mereka

Kajian Literatur Sistematis Desain User Interface dan User Experience Media Animasi Dalam Meningkatkan Konsentrasi Anak Berkebutuhan Khusus Tunagrahita

This systematic literature review investigates the role of User Interface (UI) and User Experience (UX) in animated learning media for enhancing the concentration of children with intellectual disabilities. Drawing from 30 selected publications, the study highlights previous findings that well-designed digital media can significantly improve learning outcomes for children with special needs. Using inclusive criteria, the researchincorporates observations of learning environments and interviews with educators at SLB Negeri 2 Denpasar. The effectiveness of UI/UX elements is assessed through the Questionnaire for User Interface Satisfaction (QUIS) and the User Experience Questionnaire (UEQ). Key insights emphasize the impact of intuitive and engaging design in sustaining concentration and aiding comprehension. The study offers practical guidelines for developing accessible and effective learning tools, underscoring the importance of inclusive design practices in special education and providing a valuable foundation for future educational technology advancements.Tinjauan literatur sistematis ini menyelidiki peran User Interface (UI) dan User Experience (UX) dalam media pembelajaran animasi untuk meningkatkan konsentrasi anak-anak dengan disabilitas intelektual. Data diambil dari 30 publikasi terpilih, penelitian ini menyoroti temuan sebelumnya bahwa media digital yang dirancang dengan baik secara signifikan dapat meningkatkan hasil pembelajaran bagi anakanak berkebutuhan khusus. Dengan menggunakan kriteria inklusif, penelitian ini menggabungkan pengamatan lingkungan belajar dan wawancara dengan pendidik diSLB Negeri 2 Denpasar. Efektivitas elemen UI/UX dinilai melalui Kuesioner Kepuasan Antarmuka Pengguna (QUIS) dan Kuesioner Pengalaman Pengguna (UEQ). Wawasan utama menekankan dampak desain yang intuitif dan menarik dalam mempertahankan konsentrasi dan membantu pemahaman. Studi ini menawarkan panduan praktis untuk mengembangkan alat pembelajaran yang mudah diakses dan efektif, menggarisbawahi pentingnya praktik desain inklusif dalam pendidikan khusus, dan memberikan dasar yang berharga untuk kemajuan teknologi pendidikan di masa depan

Media Sosial di Tempat Kerja Saat dan Pasca Pandemi Covid-19 : Sebuah Tinjauan Literatur Sistematis

Social media in the workplace is a contemporary phenomenon that plays a crucial role in various aspects of organizational life. However, its dynamics during the COVID-19 pandemic and the subsequent new normal have been rarely explored in the literature. This study aims to fill this gap by analyzing existing literature on social media usage in the workplace during these unprecedented times. We systematically identified and reviewed selected publications from the Web of Science (WOS) and Scopus databases. Through an in-depth investigation, we elucidate the dynamics of social media amidst a crisis that has impacted all facets of life. The results of this study not only reveal, summarize, and critically examine various social media phenomena in the workplace during the COVID-19 pandemic and the new normal period but also highlight their implications for future research. Our findings suggest several promising avenues for further exploration, emphasizing the need for a deeper understanding of this topic. The paper concludes with recommendations for future research opportunities that could enhance our comprehension of social media’s role in the evolving workplace landscape.Media sosial di tempat kerja merupakan fenomena kontemporer yang memainkan peran penting dalam berbagai aspek kehidupan organisasi. Namun, dinamikanya selama pandemi COVID-19 dan kondisi normal baru yang terjadi setelahnya jarang dieksplorasi dalam literatur. Penelitian ini bertujuan untuk mengisi kesenjangan dengan menganalisis literatur yang ada mengenai penggunaan media sosial di tempat kerja selama masa-masa yang belum pernah terjadi sebelumnya. Penelitian ini secara sistematis mengidentifikasi dan meninjau publikasi terpilih dari database Web of Science (WOS) dan Scopus. Melalui penelusuran mendalam, penelitian ini memaparkan dinamika media sosial di tengah krisis yang berdampak pada seluruh aspek kehidupa

Desain Asesmen Diagnostik Adaptif melalui Optimalisasi Google Form dan jMetric untuk Mendeteksi Level Kesulitan Belajar Matematika Siswa

The level of difficulty students experience in learning mathematics can help teachers design learning activities that are appropriate for students' abilities and foster an independent learning environment. Google Forms and jMetric can be used as alternative software to construct adaptive assessments that accurately detect students' level of difficulty in learning mathematics and are easy to apply. The results of calibrating the content of the instrument with jMetric show that the overall instrument is in the “fairly good” category with a stratum of 2.81. Meanwhile, the development of adaptive assessments based on Google Forms is deemed valid in terms of website appeal and ease of use, with an average of 64.5%. Level kesulitan belajar matematika yang dialami oleh siswa dapat memudahkan guru dalam merancang pembelajaran yang sesuai dengan kemampuan siswa dan menumbuhkan iklim merdeka belajar. Google form dan jMetric dapat dijadikan sebagai software alternatif untuk mengkonstruksi  asesmen adaptif pendeteksi level kesulitan belajar matematika siswa yang presisi dan mudah diaplikasikan. Pengembangan asesmen adaptif berbasis google form yang telah dilakukan, diketahui hasil dari validator Pada tahap uji coba soal, diperoleh keterbacaan asesmen sebesar 80%, beberapa item direvisi agar sesuai dengan perkembangan bahasa peserta didik, dan pada tahap uji coba model asesmen serta respon pengguna dinyatakan valid secara aspek ketertarikan website dan kemudahan website rata – rata 64,5 %

Apakah Kamu Peduli Lingkungan? Implementasi Teori Planned Behavior Pada Minat Beli Konsumen Hotel Ramah Lingkungan di Indonesia

Green hotels are one of the products of sustainable tourism. The theory of planned behavior (TPB) could be a valuable approach for understanding consumer behavior, including visitors' preferences for eco-friendly choices. By looking at sociopsychological components, TPB makes a difference in anticipation, such as tourists' choices to visit green goals or remain eco-friendly. This study aims to examine consumer behavior regarding their interest in staying at a green inn, using the theory of planned behavior (TPB). The research focused on testing the variables of attitude, subjective norm, and perceived behavioral control on customer purchase intention. Data collection was conducted through a questionnaire analyzed by SEM-PLS to determine the causal relationship among latent variables contained in the structural equation with a sample of 121 people who stayed or had stayed at Hyatt Regency Hotel Yogyakarta. The research shows that there is a significant influence among the variables of attitude, subjective norm, and perceived behavioral control on customer purchase intention.  Green hotel merupakan salah satu produk pariwisata berkelanjutan. Teori Perilaku yang Terencana (TPB) dapat menjadi pendekatan yang berguna untuk memahami perilaku konsumen, termasuk preferensi pengunjung terhadap pilihan ramah lingkungan. Dengan mempertimbangkan faktor sosiopsikologis, TPB dapat membantu memprediksi secara lebih akurat keputusan pengunjung untuk mengunjungi destinasi ramah lingkungan atau menginap di akomodasi ramah lingkungan. Penelitian ini bertujuan menggunakan TPB untuk mengamati perilaku konsumen yang berminat menginap di hotel ramah lingkungan. Penelitian ini berfokus untuk menyelidiki variabel sikap, norma subjektif, dan kontrol perilaku yang dirasakan terkait dengan niat membeli konsumen. Untuk mengetahui hubungan sebab akibat antar variabel laten yang dimasukkan dalam persamaan struktural, data dikumpulkan dengan menggunakan kuesioner yang dianalisis menggunakan SEM-PLS. Sampel yang diambil berjumlah 121 orang yang menginap atau pernah menginap di Hotel Hyatt Regency Yogyakarta. Penelitian menunjukkan bahwa terdapat pengaruh yang signifikan antara variabel sikap, norma subjektif, dan kontrol perilaku yang dirasakan terhadap niat membeli konsumen

The Public Innovator’s Playbook: Nurturing Bold Ideas in Government

This article provides a comprehensive academic review of The Public Innovator’s Playbook: Nurturing Bold Ideas in Government by William D. Eggers and Shalabh Kumar Singh, highlighting its relevance across strategic management, information technology, and socio-political disciplines. Positioned as a critical guide for transforming public sector institutions, the book outlines a structured innovation cycle—comprising idea generation, selection, implementation, and diffusion—intended to embed innovation as a core organizational function rather than an ad hoc response to crises. In terms of strategic management, the book contributes by offering clear frameworks and replicable models that align innovation with institutional missions and managerial planning. From a technological standpoint, it underscores the vital role of digital tools such as blogs, wikis, and peer-to-peer networks in facilitating interdepartmental communication, breaking bureaucratic silos, and accelerating strategy execution. Socially and politically, it promotes participatory governance through citizen engagement, open collaboration, and multi-stakeholder input, supported by examples like the World Bank’s Development Marketplace. Despite these strengths, the book is not without its limitations. It tends to present innovation in an overly idealistic manner, often underplaying structural, political, and contextual barriers to implementation. Furthermore, its reliance on Western-centric case studies may limit applicability in diverse governmental contexts. Nonetheless, the book’s strengths lie in its pragmatic approach, its encouragement of a culture of experimentation, and its integration of cross-sectoral perspectives. It serves as both an operational toolkit and a visionary call for transforming public institutions into adaptive, learning systems. This review concludes that The Public Innovator’s Playbook is a valuable resource for public administrators, scholars, and policymakers who seek to foster sustained innovation within government, and recommends readers approach it with a contextual and critical lens to maximize its strategic and democratic potential

AI in News Radio Broadcasting: Navigating Disruption While Preserving Human Connection

Since the public began using Chat GPT in 2022, there has been a controversy about whether artificial intelligence (AI) technology would replace people in various occupations. This concern extends to the global radio broadcasting industry. Many radio professionals argue that AI will not reduce the importance of human roles. However, some are beginning to adopt AI technologies in their operations. This dual perspective highlights the ongoing discussion about the balance between human contribution and technological advancement in the workplace. This article explores the adaptation of AI technology in three news radio stations in Jakarta. It focuses on how these stations use AI, the guidelines they follow, and the types of AI currently in use or planned for future implementation. The study employs a descriptive qualitative research method, gathering data through interviews with editors of the stations, as well as through observation and literature review. This research indicates that informants view AI technology as essential for enhancing broadcast radio media management. The integration of AI happens gradually, with ongoing observation and research into its various forms and advancements. Radio stations are cautious in this adaptation process, as they must uphold journalistic standards. The most careful implementation of AI is observed in areas like virtual newscasters, interactive presentations, and dialogues.Sejak publik mulai menggunakan Chat GPT pada tahun 2022, muncul kontroversi mengenai kemungkinan teknologi kecerdasan buatan (AI) akan menggantikan peran manusia dalam berbagai pekerjaan. Kekhawatiran ini juga meluas ke industri penyiaran radio global. Banyak profesional radio berpendapat bahwa AI tidak akan menyingkirkan peran manusia.  Namun, sebagian profesional penyiaran radio lainnya mulai mengadopsi teknologi AI dalam berbagai aspek pengelolaan.  Diskusi mengenai realitas ganda ini berputar pada isu keseimbangan antara kontribusi manusia dan kemajuan teknologi dalam berbagai bidang pekerjaa, terutama pada lembaga penyiaran radio sebagai konteks penelitian ini melalui eksporasi terhadap adaptasi teknologi AI pada tiga stasiun radio berita di Jakarta.  Fokus penelitian tertuju pada pandangan dalam kehadiran dan penggunaan AI, kebijakan dan pedoman dalam pemafaatan AI, serta jenis AI yang saat ini digunakan atau direncanakan untuk diterapkan di masa depan. Penelitian ini menggunakan metode penelitian kualitatif deskriptif, dengan mengumpulkan data melalui wawancara,   observasi, dan tinjauan literatur. Hasil penelitian menunjukkan bahwa para informan menganggap teknologi AI sangat penting untuk meningkatkan  pengelolaan media radio siaran. Integrasi AI terjadi secara bertahap, disertai pengamatan dan penelitian terus-menerus terhadap berbagai bentuk dan kemajuan teknologi tersebut. Stasiun radio bersikap hati-hati dalam proses adaptasi ini, karena mereka harus mempertahankan standar jurnalistik yang telah ditetapkan. Penerapan AI yang paling hati-hati terlihat dalam bidang seperti penyiar berita virtual, presentasi interaktif, dan dialog

Potensi Emisi Gas Rumah Kaca dari TPA Galuga dan Kelayakan Finansial Teknologi RDF

Many cities are confronting significant challenges due to the rising volume of waste. This surge in waste generation not only risks overcapacity but also contributes to increased greenhouse gas (GHG) emissions. This study aims to estimate the amount of waste directed to the Galuga landfill, evaluate the potential GHG emissions resulting from the landfill, and analyze the financial viability of implementing Refuse DerivedFuel (RDF) technology, which has the potential to reduce waste volumes. This research employs three key methods: 1) Multiple Linear Regression (MLR) to identify the factors that influence waste generation, 2) the IPCC guidelines for National Greenhouse Gas Inventories Volume 5 to estimate potential greenhouse gas emissions, and 3) a financial feasibility analysis to evaluate the viability of implementing RDF technology.The results show that the volume of waste directed to the Galuga landfill in 2022 was 195,787.10 tons, with a projected increase of 2.43% by 2030, bringing the total to 200,544.26 tons. The potential greenhouse gas (GHG) emissions from waste generated at the Galuga landfill are estimated to be 109 kt CO2e in 2030, reflecting a decrease of 29.48% compared to 2022. Furthermore, the plan to implement RDF technologyis deemed financially viable, as it fulfills the necessary criteria for Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost (B/C) Ratio, and Payback Period. Therefore, the governments may introduce various incentives to promote the adoption of RDF technology, stricter waste segregation is essential for better RDF quality, and attracting private investment through PPPs can enhance RDF infrastructure.Sejumlah kota menghadapi masalah serius akibat peningkatan volume sampah. Timbulan sampah yang terus meningkat berpotensi menyebabkan overcapacity, serta meningkatkan emisi gas rumah kaca (GRK). Penelitian ini bertujuan untuk mengestimasi timbulan sampah yang masuk ke TPA Galuga, potensi emisi GRK yang dihasilkan dari TPA Galuga, serta menganalisis penerapan teknologi RDF yang dapat mereduksi jumlah sampah. Penelitian ini menggunakan Multiple Linear Regression (MLR) untuk mengetahui faktor-faktor yang memengaruhi timbulan sampah, Guidelinesfor National Greenhouse Gas Inventories Vol.5 (Waste) untuk mengestimasi potensi emisi GRK TPA Galuga, serta analisis kelayakan finansial untuk mengetahui kelayakan penerapan teknologi RDF. Hasil penelitian menunjukkan jumlah sampah yang masuk ke TPA Galuga tahun 2022 sebesar 195.787,10 ton dan meningkat 2,43% pada tahun 2030 menjadi 200.544,26 ton. Potensi emisi GRK dari timbulan sampah TPA Galuga berkisar 109 kt CO2e pada tahun 2030, turun 29,48% dari tahun 2022. Rencana penerapan teknologi RDF layak dijalankan secara finansial karena memenuhi kriteria kelayakan NPV, IRR, B/C Ratio, dan Payback Period. Oleh karena itu, pemerintah dapat memberikan berbagai insentif untuk mendorong penerapan teknologi RDF,pemilahan sampah yang lebih ketat sangat penting untuk meningkatkan kualitas RDF, dan menarik investasi swasta melalui kemitraan pemerintah dan swasta dapat meningkatkan infrastruktur RDF

The Use of Naive Bayes Classifier in Sentiment Analysis at Indonesia's Super Priority Tourism Destinations Based on User Reviews

This study aims to develop a digital technology-based evaluation platform to support Indonesia’s super priority tourism destination (DPSP) program. The platform utilizes tourist review data obtained from Google Maps, which is processed using sentiment analysis based on the Naïve Bayes algorithm and scraping techniques. By collecting and analyzing data in real time, this research provides accurate and relevant information about tourist opinions regarding tourism destinations. The implementation of this system is expected to enhance the effectiveness of tourism destination evaluations and support data-driven decision-making. The test result shows a model accuracy of 75%, with tourist reviews classified into positive, negative, and neutral classes. Further development is recommended to add more data sources and improve model accuracy.Penelitian ini bertujuan untuk mengembangkan platform evaluasi berbasis teknologi digital untuk mendukung Program Destinasi Pariwisata Super Prioritas (DPSP) di Indonesia. Platform ini memanfaatkan data ulasan wisatawan yang diperoleh dari Google Maps melalui teknik scraping dan diolah menggunakan analisis sentiment berbasis algoritma Naïve Bayes. Dengan mengumpulkan dan menganalisis data secara real-time, penelitian ini mampu memberikan informasi yang akurat dan relevan terkait opin