Universitas Sultan Fatah

Pantai Kartini yang berlokasi di Kota Jepara merupakan salah satu destinasi wisata utama dengan daya tarik tinggi, baik bagi wisatawan lokal maupun nasional. Seiring dengan pesatnya perkembangan teknologi digital, berbagai ulasan wisatawan tentang Pantai Kartini kini banyak ditemukan di platform daring seperti Google Maps, yang mencerminkan pengalaman, tingkat kepuasan, serta kritik terhadap fasilitas dan layanan wisata yang tersedia. Penelitian ini bertujuan untuk mengidentifikasi persepsi wisatawan terhadap Pantai Kartini melalui penerapan analisis sentimen menggunakan algoritma Naïve Bayes Classifier. Metode tersebut digunakan untuk mengelompokkan ulasan wisatawan ke dalam tiga kategori sentimen, yaitu positif, netral, dan negatif. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes mampu mengklasifikasikan sentimen dengan tingkat akurasi sebesar 74%, presisi 61%, dan recall 55%. Meskipun kinerja model tergolong cukup baik, masih terdapat kelemahan dalam mendeteksi ulasan bersentimen negatif karena ketidakseimbangan jumlah data pada setiap kategori pelatihan. Oleh sebab itu, penelitian berikutnya disarankan untuk memperluas jumlah data, menyeimbangkan distribusi sentimen, melakukan normalisasi kata sebelum tahap prapemrosesan, serta menambahkan kriteria tambahan dalam proses pemeringkatan. Temuan ini diharapkan dapat menjadi bahan pertimbangan bagi pengelola wisata dan pemerintah daerah dalam menyusun strategi pengembangan serta promosi wisata berbasis data yang lebih efektif. Dengan demikian, hasil penelitian ini berpotensi mendorong peningkatan daya saing dan pertumbuhan ekonomi lokal melalui optimalisasi pengelolaan destinasi wisata berbasis analisis digital.

Bencana banjir yang sering terjadi di Kecamatan Juwana, Kabupaten Pati, memerlukan upaya mitigasi yang efektif untuk mengurangi risiko dan dampaknya. Penelitian ini bertujuan untuk mengidentifikasi debit banjir rencana, menganalisis implementasi perangkat lunak HEC-RAS dalam pemodelan hidraulik, serta mengintegrasikan hasilnya dengan GIS untuk visualisasi zona rawan banjir. Analisis hidrologi dilakukan untuk menghitung debit banjir rencana menggunakan metode Rasional, Der Weduwen, Haspers, dan HSS Nakayasu. Simulasi hidraulik menggunakan HEC-RAS memberikan informasi mendalam mengenai profil muka air, kedalaman genangan, dan kecepatan aliran sungai pada berbagai titik sepanjang Sungai Silugonggo. Hasil penelitian menunjukkan debit banjir rencana mencapai puncak metode Rasional 2903,2192 m3/s, Der Weduwen 2291,861827 m3/s, Haspers 4433,007922 m3/s, dan Nakayasu 6114,1573 m3/s. Simulasi HEC-RAS berhasil memodelkan aliran sub-kritis (angka Froude < 1) dengan kedalaman genangan hingga 3 meter pada beberapa titik kritis. Integrasi dengan GIS menghasilkan peta risiko banjir yang memvisualisasikan area terdampak secara akurat, yang sangat berguna untuk perencanaan mitigasi bencana. Hasil integrasi ini menghasilkan peta risiko yang dapat digunakan sebagai acuan dalam penanggulangan bencana banjir​. Metode yang lebih komperhesif yaitu Metode Nakayasu karena memiliki keunggulan dalam perhitungan hidrograf aliran dari waktu ke waktu. Penelitian ini menyimpulkan bahwa kombinasi HEC-RAS dan GIS merupakan pendekatan yang efektif dalam penanggulangan banjir, baik untuk identifikasi risiko maupun perencanaan infrastruktur pengendalian banjir. Penerapan hasil penelitian ini diharapkan dapat membantu pemerintah dan masyarakat dalam mengurangi dampak bencana banjir di Kecamatan Juwana.

The spirit of caring for fellow humans is a lantern whose light can penetrate ethnic, racial, national and religious boundaries. This research is motivated by the war between Israel and Palestine. This paper's goal is to identify the variables that affect of the willingness of Buddhists to boycott Israeli-affiliated products. This paper investigates the influence of subjective norms, positive anticipated emotions and product judgment on the boycott of Israeli-affiliated products. The data sample used in this research was 142 respondents from 17 provinces in Indonesia. Samples are taken using purposive sampling, namely taking samples with certain conditions. To analyze survey data and interpret research results, Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for the model that was created. This test aims to compare the direct and indirect effects the relationship between the dependent and independent variables. The test results show the favorable and strong impact of subjective norms on the willingness to boycott. Positive anticipated emotions also have a positive and significant effect on willingness to boycott. However, product judgment does not affect willingness to boycott.

Changes in the pattern of public information consumption in the digital era have brought about major transformations in the field of journalism. With easier access to information through various digital platforms and social media, people increasingly rely on mobile devices to get news quickly and instantly. This requires traditional media to adapt to new business models that are more oriented to audience needs and utilize the potential of data analysis to optimize content distribution. Digital journalism has emerged in response to these changes, offering a more interactive and engaging way of presenting news through the use of multimedia. However, there is a major challenge in maintaining the integrity and credibility of the news amid the rapid flow of information that is sometimes unverified. In facing this challenge, it remains important for journalists and media institutions to uphold the principles of ethics and professionalism in news reporting. Thus, the digital era provides opportunities as well as challenges for the world of journalism, requiring various parties to continue to innovate and prioritize the quality and accuracy of information presented to the public. Digital literacy and continuous training are crucial so that journalists and the public can adapt to the changes that occur, and still have access to credible and trustworthy information.

Introduction: Obstructive sleep apnea (OSA) is a significant pediatric health concern in Indonesia, but diagnostic and treatment pathways are often resource-constrained. Drug-induced sleep endoscopy (DISE) offers a dynamic assessment of upper airway obstruction, but its predictive value for treatment outcomes in Indonesian children remains unclear. This study aimed to evaluate the predictive value of DISE findings for polysomnography (PSG)-determined OSA severity and surgical outcomes in a multicenter cohort of Indonesian children. Methods: A prospective, multicenter cohort study was conducted at three tertiary hospitals in Indonesia. Children aged 2-18 years with suspected OSA underwent DISE and overnight PSG. DISE findings were classified using the VOTE (Velum, Oropharynx, Tongue base, Epiglottis) classification system. The primary outcome was the correlation between DISE findings and the apnea-hypopnea index (AHI) on PSG. Secondary outcomes included the prediction of surgical success (defined as a postoperative AHI < 5 and >50% reduction from baseline) after adenotonsillectomy (T&A). Statistical analyses included Spearman's rank correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression. Results: 250 children (mean age 8.2 ± 3.5 years, 60% male) were included. A significant positive correlation was found between the total VOTE score and AHI (ρ = 0.62, p < 0.001). Tongue base obstruction (VOTE-T) showed the strongest correlation with AHI (ρ = 0.58, p < 0.001). The area under the ROC curve (AUC) for the total VOTE score predicting severe OSA (AHI ≥ 10) was 0.85 (95% CI, 0.79-0.91). In the subgroup of 180 children who underwent T&A, a higher total VOTE score (particularly VOTE-T and VOTE-E scores) was significantly associated with a lower likelihood of surgical success (OR 0.45, 95% CI 0.28-0.72, p = 0.001). Conclusion: DISE, using the VOTE classification, demonstrates good predictive value for OSA severity and surgical outcomes in Indonesian children. Tongue base and epiglottic obstruction are particularly important predictors. DISE can be a valuable tool for guiding treatment decisions in resource-limited settings.

Phishing attacks continue to be a significant threat to internet users, necessitating the development of advanced detection systems. This study explores the efficacy of a Bidirectional Gated Recurrent Unit (BiGRU) model combined with feature selection techniques for detecting phishing websites. The dataset used for this research is sourced from the UCI Machine Learning Repository, specifically the Phishing Websites dataset. This approach involves cleaning and preprocessing the data, then normalizing features and employing feature selection to identify the most relevant attributes for classification. The BiGRU model, known for its ability to capture temporal dependencies in data, is then applied. To ensure robust evaluation, we utilized cross-validation, dividing the data into five folds. The experimental results are highly promising, demonstrating a Mean Accuracy, Mean Precision, Mean Recall, Mean F1 Score, and Mean AUC of 1.0. These results indicate the model's exceptional performance distinguishing between phishing and legitimate websites. This study highlights the potential of combining BiGRU models with feature selection and cross-validation to create highly accurate phishing detection systems, providing a reliable solution to enhance cybersecurity measures.

This paper explores the intricate relationship between architecture and taste, focusing on mechanisms that enable architecture to enhance aesthetic preferences and sensory experiences. It delves into the impact of architecture on taste through the education of public taste, the development of interactive models, and the establishment of an architectonic language of communication. These mechanisms serve as vehicles to broaden public appreciation, deepen individual understanding, and personalize architectural aesthetics. The research investigates the potential for architecture to extend beyond the visual by integrating touch, taste, and smell, providing a more inclusive, multisensory experience. It examines how digital modeling, 3D printing, and edible materials can be utilized to season and flavor the built environment, making it uniquely immersive and responsive to personal taste. Furthermore, the study acknowledges the influence of socio-cultural and economic factors on architectural preferences and the importance of catering to diverse tastes. Employing qualitative methods, this research contributes insights from discussions that reveal the evolving nature of architecture's role in shaping taste. Findings underscore architecture's capacity to evolve as a medium for cultural expression, fostering inclusivity, emotional resonance, and dynamic adaptation in the built environment. These insights offer valuable perspectives for architects, designers, and policymakers as they strive to create spaces that reflect the diverse tastes and preferences of society

Air limbah domestik di desa pendem khususnya dukuh randusari dan belik masih belum diloah dengan baik. Air limbah khususnya greywater langsung di buang diselokan yang mengarah kesungai, kegiatan tersebut dapat merusak lingkungan sungai dan mencemari sumber air bersih warga. Tujuan perencanaan ini adalah untuk merencanakan SPAL dan IPAL warga dukuh belik dan randusari agar terciptanya kondisi sanitasi lingkungan yang baik dan layak. Hasil dari perencanaan ini pada sistem penyaluran air limbah (SPAL) panjang pipa penyalur air limbah pada dukuh randusari mecapai 2.861,40 m sedangkan dukuh belik 3.028,70 m, dengan dilengkapi bangunan manhole berdiameter 60 cm dan bak kontrol 50 x 50 cm. Pada instalasi pengolahan air limbah menggunakan IPAL Biofilter Pabrikasi dengan kapasitas, pada dukuh randusari menggunakan IPAL tipe RCO-100 kapasitas 100 m3 sebanyak 3 buah dan dukuh belik digunakan IPAL tipe RCO-60 kapasitas 60 m3 sebanyak 2 buah. Dari perencanaan ini diperlukan anggaran biaya untuk pembangunan SPAL dan IPAL dukuh randusari sebesar Rp. 4.141.427.000,00. Dan untuk dukuh belik sebesar Rp. 2.586.384.000,00.

Esta pesquisa avaliou o uso de hidrofugante como impermeabilizante de superfície de amostras de concreto expostas a situações de ataque por sulfatos. As variáveis adotadas foram dois fatores água/cimento (0,43 e 0,53), além de dois tipos de sulfato (sulfato de sódio e de magnésio). Realizou-se ensaio acelerado de migração iônica, verificando o fluxo de íons sulfato ao longo do tempo, e finalizado o teste, a microestrutura das amostras foi avaliada. Os resultados obtidos indicam que a metodologia adotada foi eficiente e que o uso de hidrofugante tem capacidade de reduzir a passagem de íons. Apesar deste resultado, mesmo com o uso do protetor de superfície, foi verificada a ocorrência de ataque externo por sulfato.

Transportation is an important part of this era of globalization. But at the same time transportation, especially in the field of logistics, often harms the environment. This research will then look at the impact of sustainable transportation and the implementation of green logistics on the environment. This research will be carried out using a descriptive qualitative approach. The data used in this study comes from various relevant previous research results or studies. The results of this study then found that the negative impact of conventional transportation led to the importance of changes in transportation management. Through the adoption of innovative technology, smart route management, and environmentally friendly vehicles, a company will be able to reduce operational costs, increase efficiency, and significantly reduce the negative impact it has on the environment. Sustainable transportation and green logistics are strategic opportunities for future businesses.