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    Dilema Desainer: Keresahan dan Pragmatisme dalam Persepsi Publik akan AI Generatif dalam Industri Kreatif Indonesia

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    The rise of generative AI presents a dilemma due to the public’s pragmatic acceptance of AI-generated design works (M=5.33, SD=1.89), alluding to the possibility of creative labor displacement. Grounded in Christensen’s Innovator’s Dilemma and Mori’s Uncanny Valley, this study examines how the Indonesian public perceives the ethical and utilitarian tensions of AI adoption. Using a sequential explanatory mixed-methods approach, an online survey (n=553) was conducted with respondents aged 20 to 50 in 10 Indonesian cities. Participants evaluated four case studies—advertisement, book cover, Instagram post, and photo manipulation—alongside their general sentiments. Findings indicate lower acceptance of GenAI for commercial (M=4.78, SD=1.84) than for personal use (M=5.43, SD=1.58), and concerns about GenAI’s potential to replace designers (M=5.2, SD=1.70). The lowest receptivity was observed in video and photo manipulation, reflecting the uncanny valley effect. Meanwhile, respondents tend to justify the use of GenAI when there are no formal regulations, thereby diminishing their ethical concerns, while also exhibiting difficulties in identifying AI-generated images. These perceptions underscore the importance of AI governance in protecting human designers from being replaced by machines and ensuring the authenticity of design works.Kebangkitan Generative AI menghadirkan dilema akibat penerimaan publik yang bersifat pragmatis terhadap karya desain yang dihasilkan AI (x̄ M=5,21, x̄ SD=1,64) mengarah pada kemungkinan tergesernya tenaga kerja kreatif. Berlandaskan pada teori Innovator’s Dilemma dari Christensen dan Uncanny Valley dari Mori, studi ini meneliti bagaimana masyarakat Indonesia memandang ketegangan etis dan utilitarian dalam adopsi AI. Dengan menggunakan pendekatan sequential explanatory mixed-method, survei daring (n=553) dilakukan terhadap responden berusia antara 20–50 tahun di 10 kota besar di Indonesia. Partisipan mengevaluasi empat studi kasus—iklan, sampul buku, unggahan Instagram, dan manipulasi foto—bersamaan dengan pandangan umum mereka. Temuan penelitian menunjukkan tingkat penerimaan yang lebih rendah terhadap GenAI untuk penggunaan komersial (M=4,78, SD=1,84) dibandingkan dengan penggunaan pribadi (M=5,43, SD=1,58) serta adanya kekhawatiran mengenai potensi GenAI untuk menggantikan desainer (M=5,2, SD=1,70). Penerimaan terendah ditemukan pada video dan manipulasi foto yang mencerminkan efek uncanny valley. Sementara itu, responden cenderung membenarkan penggunaan GenAI apabila tidak ada regulasi formal, mengabaikan kekhawatiran etis mereka. Responden juga menunjukkan kesulitan dalam mengenali gambar yang dihasilkan AI. Persepsi ini menegaskan urgensi tata kelola AI untuk melindungi desainer manusia dari risiko tergantikan oleh mesin dan memastikan keaslian karya desain

    The Impact of Economic Transformation and Public Services in New-Type Urbanization on Rural-Urban Income Gaps in Western China

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    Promoting urbanization construction with county towns as an essential carrier was a significant decision made by the 20th National Congress of the Communist Party of China, marking a historic shift in China’s New-Type Urbanization strategy. Based on panel data from 176 counties in 21 cities in western China from 2013 to 2022, this paper empirically examines the heterogeneous effects of New-Type Urbanization on the urban-rural income gap at the county and city levels by developing a comprehensive index system for New-Type Urbanization developments. The results show that: (1) whether at the county or the city level, the construction of New-Type Urbanization significantly contributes to narrowing the urban and rural residents’ income gap; (2) based on the comparative analysis of the county and city levels, it was found that taking the county as the basic unit to promote New-Type Urbanization development has more advantages in narrowing the income gap; (3) compared with city districts, promoting New-Type Urbanization construction in county towns is more beneficial for narrowing the urban-rural income gap

    Penerapan Teknologi Self-healing pada Beton Ringan: Tinjauan Literatur

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    Abstrak Konstruksi bangunan di era modern menuntut material yang berkualitas tinggi dan berkelanjutan. Salah satu permasalahan yang telah lama ada pada struktur beton bertulang adalah munculnya retak akibat beban berulang, yang tidak hanya menurunkan kekuatan struktural, tetapi juga mempercepat proses degradasi melalui infiltrasi zat-zat agresif dari lingkungan eksternal. Salah satu upaya yang sedang dikembangkan dalam mengatasi masalah retak pada beton adalah penggunaan self-healing concrete. Perbaikan retak mikro pada beton self-healing bisa terjadi melalui aktivasi agen penyembuh (healing agent) yang dibawa ke dalam beton melalui carrier bakteri. Tinjauan literatur ini membahas penggunaan mikroorganisme (bakteri) sebagai agen penyembuh dengan agregat ringan sebagai carrier bakteri dalam beton self-healing. Penelitian terkini menunjukkan bahwa kelangsungan hidup bakteri sebagai healing agent adalah hal yang sangat vital dalam menentukan efektivitas beton self-healing. Pelapisan carrier bakteri menggunakan zat pelapis seperti silika gel dan sodium silikat terbukti bisa menjaga bakteri dan nutrisi tetap dalam kondisi dorman hingga terjadi retak dan teraktivasi. Namun, meskipun penerapan beton self-healing di beberapa proyek telah menunjukkan peningkatan durabilitas beton, kapasitas penyembuhannya masih terbatas pada retak-retak mikro. Oleh karena itu, pengembangan lanjutan diperlukan, terutama dalam memperluas kemampuan penyembuhan retakan yang lebih besar, menurunkan biaya produksi, serta mengoptimalkan penerapan teknologi ini dalam praktik konstruksi secara luas. Kata-kata Kunci: Agregat ringan, beton, healing agent, retak, self-healing Abstract Modern construction demands high-quality and sustainable materials. One of the longstanding issues in reinforced concrete structures is the formation of cracks due to repeated loading, which not only compromises structural integrity but also accelerates degradation by allowing the infiltration of aggressive external substances. In response, researchers are developing self-healing concrete to address this issue. The repair of microcracks in self-healing concrete can occur through the activation of healing agents delivered into the concrete via bacterial carriers. This paper discusses the use of microorganisms (bacteria) as healing agents with lightweight aggregates as carriers for the bacteria in self-healing concrete. Recent studies indicate that the viability of bacteria as healing agents is crucial to the effectiveness of self-healing concrete. The encapsulation of bacterial carriers using coating materials such as silica gel and sodium silicate has proven effective in preserving bacterial cells and nutrients in a dormant state until crack formation triggers their activation. Despite successful field applications demonstrating improved concrete durability, the healing capacity remains largely limited to microcracks. Thus, further advancements are necessary to enhance the healing range, reduce production costs, and optimize the integration of self-healing concrete technology into broader construction practices. Keywords: Lightweight aggregate, concrete, healing agent, crack, self-healing.Abstrak Konstruksi bangunan di era modern menuntut material yang berkualitas tinggi dan berkelanjutan. Salah satu permasalahan yang telah lama ada pada struktur beton bertulang adalah munculnya retak akibat beban berulang, yang tidak hanya menurunkan kekuatan struktural, tetapi juga mempercepat proses degradasi melalui infiltrasi zat-zat agresif dari lingkungan eksternal. Salah satu upaya yang sedang dikembangkan dalam mengatasi masalah retak pada beton adalah penggunaan self-healing concrete. Perbaikan retak mikro pada beton self-healing bisa terjadi melalui aktivasi agen penyembuh (healing agent) yang dibawa ke dalam beton melalui carrier bakteri. Tinjauan literatur ini membahas penggunaan mikroorganisme (bakteri) sebagai agen penyembuh dengan agregat ringan sebagai carrier bakteri dalam beton self-healing. Penelitian terkini menunjukkan bahwa kelangsungan hidup bakteri sebagai healing agent adalah hal yang sangat vital dalam menentukan efektivitas beton self-healing. Pelapisan carrier bakteri menggunakan zat pelapis seperti silika gel dan sodium silikat terbukti bisa menjaga bakteri dan nutrisi tetap dalam kondisi dorman hingga terjadi retak dan teraktivasi. Namun, meskipun penerapan beton self-healing di beberapa proyek telah menunjukkan peningkatan durabilitas beton, kapasitas penyembuhannya masih terbatas pada retak-retak mikro. Oleh karena itu, pengembangan lanjutan diperlukan, terutama dalam memperluas kemampuan penyembuhan retakan yang lebih besar, menurunkan biaya produksi, serta mengoptimalkan penerapan teknologi ini dalam praktik konstruksi secara luas. Kata-kata Kunci: Agregat ringan, beton, healing agent, retak, self-healing Abstract Modern construction demands high-quality and sustainable materials. One of the longstanding issues in reinforced concrete structures is the formation of cracks due to repeated loading, which not only compromises structural integrity but also accelerates degradation by allowing the infiltration of aggressive external substances. In response, researchers are developing self-healing concrete to address this issue. The repair of microcracks in self-healing concrete can occur through the activation of healing agents delivered into the concrete via bacterial carriers. This paper discusses the use of microorganisms (bacteria) as healing agents with lightweight aggregates as carriers for the bacteria in self-healing concrete. Recent studies indicate that the viability of bacteria as healing agents is crucial to the effectiveness of self-healing concrete. The encapsulation of bacterial carriers using coating materials such as silica gel and sodium silicate has proven effective in preserving bacterial cells and nutrients in a dormant state until crack formation triggers their activation. Despite successful field applications demonstrating improved concrete durability, the healing capacity remains largely limited to microcracks. Thus, further advancements are necessary to enhance the healing range, reduce production costs, and optimize the integration of self-healing concrete technology into broader construction practices. Keywords: Lightweight aggregate, concrete, healing agent, crack, self-healing

    Analisis Deteriorasi Perkerasan Jalan Tol Terdampak Banjir dengan Model Markov Chain Transisi Homogen dan Non-Homogen

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    Abstrak Model dan analisis yang mampu meramalkan dampak banjir terhadap kinerja perkerasan jalan raya, sangat penting untuk mengantisipasi penurunan kekuatan struktur perkerasan pasca terjadinya banjir. Model probabilistik, seperti Markov Chain, dianggap lebih realistis daripada model deterministik seperti HDM-III (Patterson), yang kurang sesuai untuk menilai perkerasan jalan tol yang terdiri dari perkerasan kaku dengan lapisan blacktop AC-WC. Penelitian ini bertujuan untuk membandingkan penggunaan model Markov Chain dengan MPT Homogen dan MPT Non-Homogen dalam menganalisis deteriorasi perkerasan jalan tol khususnya jika terdapat kejadian seperti banjir sehingga akan diketahui MPT mana yang lebih sesuai untuk digunakan dalam kondisi tersebut. Analisis yang dilakukan pada jalan tol Jakarta-Cikampek dan Padaleunyi selama periode tahun 2020-2023 menghasilkan nilai MAPE model Markov Chain dalam kategori akurasi layak/wajar sebesar 25.75% untuk MPT Homogen dan 22.50% untuk MPT Non Homogen. Berdasarkan hal tersebut, model Markov Chain dengan MPT Non Homogen lebih tepat digunakan untuk memodelkan deteriorasi perkerasan jalan tol selama periode terjadinya kejadian khusus misalnya banjir dibandingkan dengan MPT Homogen. Penelitian ini juga menunjukkan perbedaan pola program pemeliharaan (frekuensi dan tingkat penanganan) di mana model Markov Chain menghasilkan luasan proyeksi kebutuhan program pemeliharaan berupa rehabilitasi mayor tahun 2024-2028 lebih besar dibandingkan rencana jangka panjang yang telah disusun menggunakan model deteriorasi IRI HDM-III (Patterson). Kata-kata Kunci: Banjir, Deteriorasi, Markov Chain, Model Performa Perkerasan. Abstract The loss in pavement structural strength following flooding must be predicted using models and analysis that can forecast how flooding would affect highway pavement performance.  When evaluating highway pavements made up of stiff pavements with AC-WC blacktop layers, probabilistic models like Markov Chain are seen to be more realistic than deterministic models like HDM-III (Patterson). This study compares the application of Markov Chain models with Homogeneous and Non-Homogeneous TPM in assessing toll road pavement deterioration, particularly during floods, in order to determine whether TPM is more suited for usage in these circumstances. The analysis of the 2020–2023 Jakarta–Cikampek and Padaleunyi toll roads produced a MAPE value for the Markov Chain model in the acceptable/reasonable accuracy category of 22.50% for the Non-Homogeneous TPM and 25.75% for the Homogeneous TPM. This suggests that, in contrast to the Homogeneous TPM, the Markov Chain model with Non-Homogeneous TPM is more suited for simulating pavement deterioration on toll roads during times of unusual occurrences, such floods. Additionally, this study illustrates differences in maintenance program patterns (frequency and treatment level), with the Markov Chain model generating a larger projection of maintenance program needs in the form of major rehabilitation for 2024-2028 than the long-term plan which was created using the IRI HDM-III (Patterson) deterioration model. Keywords: Flood, Deterioration, Markov Chain, Pavement Performance ModelAbstrak Model dan analisis yang mampu meramalkan dampak banjir terhadap kinerja perkerasan jalan raya, sangat penting untuk mengantisipasi penurunan kekuatan struktur perkerasan pasca terjadinya banjir. Model probabilistik, seperti Markov Chain, dianggap lebih realistis daripada model deterministik seperti HDM-III (Patterson), yang kurang sesuai untuk menilai perkerasan jalan tol yang terdiri dari perkerasan kaku dengan lapisan blacktop AC-WC. Penelitian ini bertujuan untuk membandingkan penggunaan model Markov Chain dengan MPT Homogen dan MPT Non-Homogen dalam menganalisis deteriorasi perkerasan jalan tol khususnya jika terdapat kejadian seperti banjir sehingga akan diketahui MPT mana yang lebih sesuai untuk digunakan dalam kondisi tersebut. Analisis yang dilakukan pada jalan tol Jakarta-Cikampek dan Padaleunyi selama periode tahun 2020-2023 menghasilkan nilai MAPE model Markov Chain dalam kategori akurasi layak/wajar sebesar 25.75% untuk MPT Homogen dan 22.50% untuk MPT Non Homogen. Berdasarkan hal tersebut, model Markov Chain dengan MPT Non Homogen lebih tepat digunakan untuk memodelkan deteriorasi perkerasan jalan tol selama periode terjadinya kejadian khusus misalnya banjir dibandingkan dengan MPT Homogen. Penelitian ini juga menunjukkan perbedaan pola program pemeliharaan (frekuensi dan tingkat penanganan) di mana model Markov Chain menghasilkan luasan proyeksi kebutuhan program pemeliharaan berupa rehabilitasi mayor tahun 2024-2028 lebih besar dibandingkan rencana jangka panjang yang telah disusun menggunakan model deteriorasi IRI HDM-III (Patterson). Kata-kata Kunci: Banjir, Deteriorasi, Markov Chain, Model Performa Perkerasan. Abstract The loss in pavement structural strength following flooding must be predicted using models and analysis that can forecast how flooding would affect highway pavement performance.  When evaluating highway pavements made up of stiff pavements with AC-WC blacktop layers, probabilistic models like Markov Chain are seen to be more realistic than deterministic models like HDM-III (Patterson). This study compares the application of Markov Chain models with Homogeneous and Non-Homogeneous TPM in assessing toll road pavement deterioration, particularly during floods, in order to determine whether TPM is more suited for usage in these circumstances. The analysis of the 2020–2023 Jakarta–Cikampek and Padaleunyi toll roads produced a MAPE value for the Markov Chain model in the acceptable/reasonable accuracy category of 22.50% for the Non-Homogeneous TPM and 25.75% for the Homogeneous TPM. This suggests that, in contrast to the Homogeneous TPM, the Markov Chain model with Non-Homogeneous TPM is more suited for simulating pavement deterioration on toll roads during times of unusual occurrences, such floods. Additionally, this study illustrates differences in maintenance program patterns (frequency and treatment level), with the Markov Chain model generating a larger projection of maintenance program needs in the form of major rehabilitation for 2024-2028 than the long-term plan which was created using the IRI HDM-III (Patterson) deterioration model. Keywords: Flood, Deterioration, Markov Chain, Pavement Performance Mode

    Mathematical Model for the Growth of Mycobacterium Tuberculosis Infection in the Lungs:

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    In this work, we develop a population dynamics model of Mycobacterium tuberculosis (Mtb), the bacteria responsible for tuberculosis (TB), to evaluate the impact of bacterial competition on infection prevalence. We consider two types of Mtb population growth: The first is caused by bacteria that grow inside each infected macrophage and is believed to be correlated with the number of infected macrophages; The second is that extracellular bacteria grow through self-replication. In this study, we modeled the immune response to Mtb bacterial infection in the lungs using a five-dimensional differential equation system. This model represents changes in the number of healthy macrophages, infected macrophages, activated macrophages cells, extracellular bacterial particles, and naive T cells. Qualitative analysis and numerical results reveal the existence of two equilibrium points: disease-free equilibrium and endemic equilibrium, which represent latent or active tuberculosis based on the number of bacteria. In addition, a sensitive analysis of the model parameters shows that macrophages are not sufficient to control the initial invasion of Mtb. The immune system must therefore employ more complex defense mechanisms to contain Mtb infection, such as recruiting various elements of immune system and forming granulomas.Dalam karya ini, kami mengembangkan model dinamika populasi bakteri penyebab tuberkulosis (TB), My cobacterium tuberkulosis (Mtb). Mengevaluasi pengaruh kompetisi bakteri terhadap prevalensi infeksi. Kami asumsikan dua jenis pertumbuhan populasi Mtb untuk analisis ini. Yang pertama disebabkan oleh bakteri yang tumbuh di dalam setiap makrofag yang terinfeksi. Hal ini diperkirakan berkorelasi dengan jumlah makrofag yang terinfeksi. Itu kedua adalah bakteri ekstraseluler tumbuh karena replikasi diri. Dalam penelitian ini, kami memodelkan respon imun melawan infeksi bakteri Mtb di paru-paru. Model ini merupakan sistem persamaan diferensial lima dimensi yang mewakili perubahan jumlah sel makrofag yang sehat, terinfeksi, teraktivasi, bakteri ekstraseluler partikel, dan sel T naif. Analisis kualitatif dan hasil numerik menunjukkan adanya dua keseimbangan poin, keseimbangan bebas penyakit dan keseimbangan endemik yang mewakili tuberkulosis laten atau aktif berdasarkan jumlah bakteri. Selain itu, analisis sensitif terhadap parameter model menunjukkan bahwa makrofag tidak cukup untuk mengendalikan invasi awal Mtb dan sistem kekebalan perlu bekerja lebih kompleks mekanisme pertahanan untuk membendung infeksi Mtb seperti perekrutan berbagai elemen sistem kekebalan, dan pembentukan granuloma

    A Nonlinear Delay Mathematical Model for Predicting Chlamydia Dynamics and Intervention Effects

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    Chlamydia is a widespread sexually transmitted infection in Europe, often leading to complications such as rectal discomfort, throat inflammation, and reactive arthritis. This study presents a novel nonlinear delay differential equation model that enhances the classical SEIAISR framework to more accurately represent Chlamydia transmission dynamics. The model integrates biologically justified exponential time delays to reflect incubation periods and the delayed impact of interventions like condom use, routine screening, partner reduction, and microbiome health. We establish the existence and uniqueness of solutions using the Banach fixed point theorem and analyze the model’s dynamics by computing the basic reproduction number and studying equilibria and their stability via Lyapunov functions and Routh-Hurwitz criteria. A sensitivity analysis identifies key epidemiological drivers. For numerical simulation, we employ Euler’s method, the Runge-Kutta 4th order (RK4) method, and a specially developed non-standard finite difference (NSFD) scheme. The NSFD approach preserves critical properties such as positivity and stability, making it suitable for realistic long-term predictions. Results highlight the importance of timely interventions and show the superiority of structurepreserving numerical methods. The findings support the development of more targeted and effective strategies to reduce chlamydia transmission and complications among high-risk groups, reinforcing evidence-based decisionmaking within the healthcare system

    Rancang Bangun Sistem Pultrusi Arduino Berbiaya Rendah dengan Kontrol Pemanas dan Pemotong Terintegrasi untuk Mengolah Limbah Botol PET menjadi Filamen 3D Printing

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    Plastic waste, particularly polyethylene terephthalate (PET) bottles, has emerged as a critical global challenge. Single-use plastic production has continued to increase, while Indonesia generates millions of tons of waste annually, with a significant portion being plastic. To address this issue, this study presents the design of a low-cost Arduino-based pultrusion system for recycling PET bottles into 3D printing filament. Unlike existing open-source solutions that rely on manual or separate processing stages, the proposed system integrates heating, cutting, and cleaning modules into a single automated workflow with real-time control of motor speed and nozzle temperature. Experimental results show that filament tensile strength depends on pultrusion temperature, reaching 67.66 MPa at 195 °C, 62.08 MPa at 185 °C, and 58.64 MPa at 175 °C. Energy analysis indicates that the heater consumed of 0.203 kWh to reach the set-point and 0.509 kWh after one hour, while the pultrusion drive consumed 0.00233 kWh and 0.0257 kWh, respectively. Compared with values reported in prior studies, the tensile strength obtained is within or above typical PET filament ranges. These findings demonstrate that the developed system reduces manual handling, improves efficiency, and produces reliable, energy-efficient filament suitable for additive manufacturing.Limbah plastik, khususnya botol polyethylene terephthalate (PET), telah menjadi tantangan global yang mendesak. Produksi plastik sekali pakai terus meningkat, sementara Indonesia menghasilkan jutaan ton sampah setiap tahun, dengan porsi signifikan berupa plastik. Sebagai upaya untuk mengatasi masalah tersebut, penelitian ini menyajikan rancangan sistem pultrusi berbasis Arduino berbiaya rendah untuk mendaur ulang botol PET menjadi filamen pencetakan 3D. Berbeda dengan solusi open-source yang ada, yang bergantung pada pemrosesan manual atau tahap terpisah, sistem yang diusulkan mengintegrasikan modul pemanasan, pemotongan, dan pembersihan ke dalam satu alur kerja otomatis dengan kontrol waktu nyata pada kecepatan motor dan suhu nosel. Hasil eksperimen menunjukkan bahwa kekuatan tarik filamen bergantung pada suhu pultrusi, mencapai 67,66 MPa pada 195 °C, 62,08 MPa pada 185 °C, dan 58,64 MPa pada 175 °C. Analisis energi menunjukkan konsumsi pemanas sebesar 0,203 kWh untuk mencapai titik setelan dan 0,509 kWh setelah satu jam, sedangkan penggerak pultrusi mengonsumsi masing-masing 0,00233 kWh dan 0,0257 kWh. Dibandingkan dengan nilai yang dilaporkan dalam penelitian sebelumnya, kekuatan tarik yang diperoleh berada dalam atau di atas rentang khas filamen PET. Temuan ini menunjukkan bahwa sistem yang dikembangkan dapat mengurangi penanganan manual, meningkatkan efisiensi, serta menghasilkan filamen yang andal dan hemat energi untuk manufaktur aditif

    Macroalgae Inventory at Kondang Merak Beach, Malang RegencyRegency

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    Macroalgae is a type of tuberous plant that does not have a clear distinction between roots, stems, and leaves. Macroalgae also have a very important role ecologically in marine ecosystems and have been widely utilized in the cosmetics industry, food sources and their potential as medicines due to their bioactive compounds. The presence of macroalgae in the waters is found in the intertidal zone and subtidal zone and occupies a variety of substrates in the waters. One location that has good potential regarding the presence of macroalgae is Kondang Merak Beach because of its natural ecosystem with the presence of mangrove vegetation, seagrasses, coral reefs, and protected forests. So this study aims to determine the types of macroalgae found at Kondang Merak Beach, Malang Regency. The research was conducted on 3 November 2024 in the Kondang Merak Beach area of Malang Regency. The research method used was free roaming with a qualitative descriptive approach. The sampling process was carried out at low tide around 05.00 WIB until 10.00 WIB, then the identification process was carried out in the field and laboratory. The results obtained nine species of macroalgae, namely Halimeda macroloba, Ulva lactuca, Padina gymnospora, Acanthophora spisifera, Hypnea valentiae, Gigartina papillate, Kappaphycus striatus, Galaxaura rugosa, and Palmaria palmata. The presence of macroalgae is also influenced by the abiotic conditions of the waters, the results of abiotic measurements show a temperature of 25.0°C, pH 7.67, DO 7 ppm, turbidity 34 NTU, TDS 14.6 mg/L, salinity 43 ‰, wind speed 1 m/s, light intensity 63372 lux, still in optimal conditions in supporting macroalgae life. Turbidity value of 34 NTU which tends to be rather high can be caused by strong ocean currents and hydro-oseanografi phenomena

    Analisis Desain Kartu Tarot “Nusantara” Dan Citranya Di Masyarakat Indonesia

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    Kajian makalah ini bertujuan untuk menganalisis citra Kartu Tarot “Nusantara” di masyarakat Indonesia. Kartu Tarot “Nusantara” adalah suatu variasi kartu tarot yang dikembangkan dengan menggabungkan simbol-simbol budaya dan tradisi Indonesia ke dalam interpretasi tarot. Penelitian ini dilakukan untuk mengeksplorasi cara kartu tarot ini dipahami, diterima, dan diinterpretasikan oleh masyarakat Indonesia. Metode penelitian yang dilakukan menggunakan kualitatif dengan teknik pengumpulan data berupa kuesioner dan kajian literatur. Data yang diperoleh dari wawancara tersebut kemudian dianalisis dengan menggunakan analisis konten. Hasil penelitian ini menunjukkan keberhasilan Sweta Kartika dan Hasyim A. Fachri yang merepresentasikan nusantara dalam kartu tarot. Namun, budaya yang digunakan didominasi budaya Jawa dari sisi visualnya (ilustrasi dan warna) sehingga kartu ini masih belum bisa mewakili “nusantara” secara keseluruhan.kata kunci: tarot, citra, persepsi, warna, ilustrasi.   This literature review aims to analyze the image of the “Nusantara” Tarot Card in Indonesian society. The “Nusantara” Tarot Card is a variation of the Tarot Card that was developed by combining Indonesian cultural symbols and traditions into the Tarot interpretation. This research was conducted to explore how Tarot Cards are understood, accepted and interpreted by Indonesian society. The research method used was qualitative, with data collection techniques in the form of questionnaires and literature reviews. The data obtained from the interviews was then analyzed using content analysis. The results of this research show the success of Sweta Kartika and Hasyim A. Fachri who represent the archipelago in tarot cards. However, the culture is dominated by Javanese culture in terms of visuals (illustrations and colors), so this card still cannot represent the “archipelago” as a whole.Keywords: tarot, image, perception, colors, illustrationKajian makalah ini bertujuan untuk menganalisis citra Kartu Tarot "Nusantara" di masyarakat Indonesia. Kartu Tarot "Nusantara" adalah suatu variasi Kartu Tarot yang dikembangkan dengan menggabungkan simbol-simbol budaya dan tradisi Indonesia ke dalam interpretasi Tarot. Penelitian ini dilakukan untuk mengeksplorasi bagaimana Kartu Tarot ini dipahami, diterima, dan diinterpretasikan oleh masyarakat Indonesia. Metode penelitian yang dilakukan yaitu menggunakan pendekatan secara kualitatif dengan pengumpulan data berupa kuesioner dan kajian literatur. Data yang diperoleh dari wawancara tersebut kemudian dianalisis dengan menggunakan analisis konten. Hasil dari penelitian ini menunjukkan keberhasilan Sweta Kartika dan Hasyim A. Fachri merepresentasikan nusantara dalam kartu tarot. Namun budaya yang digunakan didominasi oleh budaya Jawa dari segi ilustrasi dan warna, sehingga kartu ini masih belum bisa mewakili “nusantara” secara keseluruhan

    Smart Campus Framework: Definition, Model, Measurement from Anthropocentric, Systemic and Technological Perspectives

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    This study developed a smart campus framework to help higher education institutions (HEIs) define and assess their smartness level. As HEIs faces growing demands for efficiency and competitiveness, implementing smart systems has become increasingly essential. A comprehensive framework is needed to support and improve the chances of successful adoption. This research addressed the question: how can a framework be created to measure campus smartness? The proposed framework encompasses a smart campus definition, an ideal model of smart system-based services, and a model for measuring smartness. The Design Science Research Methodology (DSRM) guided the development of the framework. Its evaluation was conducted in Indonesian HEIs to assess current smartness levels. The measurement model was validated through reliability testing (Cronbach’s Alpha = 0.883) and validity testing (Pearson Product Moment), both of which yielded strong results. Expert judgment from 10 specialists provided qualitative validation. The framework was applied across 10 campuses, involving 9,961 respondents. The results indicated that anthropocentric smartness (human-focused) was at levels 3 and 4 across all campuses, while systemic and technological smartness were mainly at level 2. Ten university leaders confirmed that the model effectively reflects actual campus conditions. The framework is built upon three perspectives of smartness: anthropocentric, systemic, and technological

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