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Showing 34 articles found for "Mitigation"

Jaminan Keamanan dan Keselamatan Pengunjung pada Destinasi Wisata

Tjhing, Man lie, Rusmini, Andin, Lestariningsih, Titin
Abstract: Over time, engaging in tourism has evolved into a necessity for acquiring delightful experiences. However, such tourism activities also carry inherent risks that can potentially harm visitors. This research, adopting a qualitative… ualitative approach through a literature study, employs data collection methods by referencing legal documents, pertinent articles, and books relevant to the study. The research findings underscore that legal frameworks guarantee the rights of tourists to protection, safety, and security. Consequently, it is imperative for tourism managers to prioritize the safety of visitors arising from the activities involved. This involves the implementation of robust Standard Operating Procedures (SOP), effective mitigation procedures, optimal functioning of infrastructure, provision of adequate safety equipment, and continuous enhancement of staff competencies. Owners of tourist attractions bear the responsibility of ensuring both the safety and legal protection of visitors, acknowledging the mutual benefits derived from the presence of tourists. Thus, a comprehensive and proactive approach to safety measures is essential in fostering a secure and enjoyable environment for all visitors.

Mitigasi Cuaca Buruk Dan Pemasangan Penangkal Petir Sebagai Upaya Keselamatan Nelayan Kub Geronggong

Prativi Khilyatul Auliya, Fitroh Resmi, Septaviola Dini Utami, Mohammad Basuki Rahmat, Dimas Fanny Kusuma, Ilyasa' Maula Basharon
Abstract: Abstract: Many traditional fishermen in Indonesia still experience a decreasing income during the rainy season due to bad weather conditions. This community service activity aims to improve the safety of fishermen through… h the installation of lightning rods and education on bad weather conditions at sea. This activity was carried out in Segoro Tambak Village, Sedati District, Sidoarjo Regency, East Java. The participants in this activity are local fishermen who are members of the KUB Geronggong. The methods used in this activity include 1. Initial Survey; 2. Socialization; 3. Training Session; 4. Technology Application; and 5. Mentoring and Evaluation. The results of the pre-test and post-test showed that the fishermen's level of understanding increasing by 8%. Based on the questionnaire results, the majority of fishermen gave positive feedback of this activity. In terms of program assessment, 71.4% of participants stated that the material provided was very easy to understand, and 82.1% of participants considered the speakers' delivery to be very clear. The opportunity to ask questions was also considered sufficient by 64.3% of participants, while in terms of satisfaction, 85.7% of participants stated that they were very happy to participate in this activity. All participants (100%) stated that this activity increased their knowledge, improved their preparedness for bad weather, and encouraged the application of knowledge in their daily lives. Keywords: bad weather; fishermen; lightning rods; mitigation   Abstrak: Masih banyak nelayan tradisional di Indonesia yang penghasilannya turun di musim penghujan karena kendala cuaca buruk. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keselamatan nelayan melalui pemasangan alat penangkal petir dan edukasi cuaca buruk saat melaut. Kegiatan ini dilaksanakan di Desa Segoro Tambak, Kecataman Sedati, Kabupaten Sidoarjo, Jawa Timur. Mitra dari kegiatan ini merupakan nelayan lokal yang tergabung dalam Kelompok Usaha Bersama (KUB) Geronggong. Metode kegiatan meliputi 1.Survey Awal; 2.Sosialisasi; 3.Pelatihan; 4.Penerapan Teknologi; serta 5.Pendampingan dan Evaluasi. Dari hasil pre-test dan post-test didapati tingkat pemahaman nelayan meningkat sebesar 8%. Berdasarkan hasil kuesioner, mayoritas nelayan memberikan penilaian positif terhadap kegiatan ini. Pada aspek penilaian acara, sebanyak 71,4% peserta menyatakan materi yang diberikan sangat mudah dipahami, dan 82,1% peserta menilai penyampaian narasumber sangat jelas. Kesempatan bertanya juga dinilai sangat cukup oleh 64,3% peserta, sedangkan dari sisi kepuasan, 85,7% peserta menyatakan sangat senang mengikuti kegiatan ini. Seluruh peserta (100%) menyatakan kegiatan ini menambah pengetahuan, meningkatkan kesiapan menghadapi cuaca buruk, serta mendorong penerapan ilmu dalam kehidupan sehari-hari. Kata kunci: cuaca buruk; mitigasi; nelayan; penangkal petir

Pelatihan Penguatan Kapasitas Masyarakat Menuju Desa Tangguh Bencana Di Desa Rembitan

Ibrahim, Ibrahim, Pratama, Inka Nusamuda, Zitri, Ilham
Abstract: The main problem in partner locations is the lack of community awareness in responding to disasters; residents do not yet understand the risks and impacts of natural disasters and preventive measures that can be taken to… reduce losses. This lack of knowledge makes the community unprepared and slow to respond to emergencies, ultimately increasing their safety and well-being risk. The training includes counselling sessions, workshops, and disaster simulations. Each session is designed to provide an in-depth understanding of the types of disasters, mitigation techniques, evacuation, and first aid steps. The results of this training showed a significant increase in the preparedness and response of the Rembitan Village community to emergencies. The post-disaster simulation evaluation also showed an increase in the participants' practical abilities in dealing with disasters. This program strengthens social structures and solidarity between residents and creates a model that can be applied in other villages with similar disaster risks. With ongoing support, Rembitan Village is expected to become a successful example of building community resilience to disasters, ultimately improving its residents' welfare and security.   Keywords: capacity; strengthening; mitigation; disaster resilient     Abstrak: Masalah utama yang terjadi ditempat mitra yaitu kurangnya kesadaran masyarakat dalam menyikapi bencana, selain itu warga belum memahami risiko dan dampak dari bencana alam, dan langkah-langkah pencegahan yang dapat diambil untuk mengurangi kerugian. Kurangnya pengetahuan ini membuat masyarakat tidak siap dan lambat dalam merespons situasi darurat, yang pada akhirnya meningkatkan risiko terhadap keselamatan dan kesejahteraan mereka. Pelatihan mencakup sesi penyuluhan, workshop, dan simulasi bencana. Setiap sesi dirancang untuk memberikan pemahaman mendalam mengenai jenis-jenis bencana, teknik mitigasi, serta langkah-langkah evakuasi dan pertolongan pertama. Hasil dari pelatihan ini menunjukkan peningkatan signifikan dan respons masyarakat Desa Rembitan terhadap situasi darurat. Kegiatan pelatihan di Desa Rembitan menunjukkan peningkatan kesadaran dan kesiapsiagaan masyarakat dalam menghadapi bencana. Masyarakat kini lebih memahami risiko bencana dan langkah mitigasi yang perlu diambil, Selain itu, mereka telah mempraktikkan simulasi bencana yang meningkatkan kemampuan mereka merespons situasi darurat.   Kata kunci: kapasitas; penguatan; mitigasi; tangguh bencana    

OPTIMIZING RETRIEVAL-AUGMENTED GENERATION FOR DOMAIN-SPECIFIC KNOWLEDGE SYSTEMS THROUGH FINE-TUNING AND PROMPT ENGINEERING

Ahmad Fajri, Rila Mandala
Abstract: Abstract: This study discusses the optimization of RAG for a FAQ system in the field of information technology product security certification at BSSN. Although LLM generate reliable responses, they often lack up-to-date… and domain-specific knowledge, which can be addressed through the RAG approach. This research aims to optimize a domain-specific RAG system by improving embedding performance, enhancing prompt robustness, and increasing retrieval accuracy. The research methods consist of three stages. The first stage involves fine-tuning the bge-m3 embedding model and evaluating its performance using MRR, Recall, and AUC. The second stage applies prompt engineering techniques, namely the SRSM and Autodefense, to mitigate direct-injection and escape-character prompt injection attacks. The third stage evaluates the proposed RAG system using Precision, Recall, and F1-Score metrics against four baseline models. The results of research show that the fine-tuned embedding model achieves higher performance than the original model, with MRR@1 and Recall@1 values of 0.80 and an AUC@100 of 0.7023. In addition, the proposed prompt engineering techniques demonstrate robustness against prompt injection attacks, while the overall RAG system attains a perfect Precision, Recall, and F1-Score of 1.00. In conclusion, the proposed approach effectively enhances retrieval accuracy, embedding quality, and system security, resulting in a more reliable RAG-based FAQ system for information technology product security certification. Keywords: embedding fine-tuning; large language model; prompt engineering; prompt injection mitigation; retrieval-augmented generation   Abstrak: Studi ini membahas optimasi RAG untuk sistem FAQ di bidang sertifikasi keamanan produk teknologi informasi di BSSN. Meskipun LLM menghasilkan respons yang andal, mereka seringkali kurang memiliki pengetahuan terkini dan spesifik domain, yang dapat diatasi melalui pendekatan RAG. Penelitian ini bertujuan untuk mengoptimalkan sistem RAG spesifik domain dengan meningkatkan kinerja embedding, meningkatkan ketahanan prompt dan meningkatkan akurasi pengambilan. Metode penelitian terdiri dari tiga tahap. Tahap pertama melibatkan fine-tuning model embedding bge-m3 dan mengevaluasi kinerjanya menggunakan Mean Reciprocal Rank (MRR), Recall, dan AUC. Tahap kedua menerapkan teknik rekayasa prompt, yaitu Self- SRSM dan Autodefense, untuk mengurangi serangan direct-injection dan escape-character prompt injection. Tahap ketiga mengevaluasi sistem RAG yang diusulkan menggunakan metrik Presisi, Recall, dan F1-Score terhadap empat model dasar. Hasil penelitian menunjukkan bahwa model embedding yang disempurnakan mencapai kinerja yang lebih tinggi daripada model asli, dengan nilai MRR@1 dan Recall@1 sebesar 0,80 dan AUC@100 sebesar 0,7023. Selain itu, teknik rekayasa prompt yang diusulkan menunjukkan ketahanan terhadap serangan injeksi prompt, sementara sistem RAG secara keseluruhan mencapai Presisi, Recall, dan F1-Score sempurna sebesar 1,00. Kesimpulannya, pendekatan yang diusulkan secara efektif meningkatkan akurasi pengambilan, kualitas embedding dan keamanan sistem, menghasilkan sistem FAQ berbasis RAG yang lebih andal untuk sertifikasi keamanan produk teknologi informasi. Kata kunci: penyempurnaan embedding; model bahasa besar; rekayasa prompt; mitigasi injeksi prompt; retrieval-augmented generation

ANALYSIS OF NEURAL NETWORK ALGORITHM IN URBAN AIR QUALITY PREDICTION

Anggraeni, Dewi, Azmi, Sri Rezki Maulina
Abstract: Abstract: Air quality in urban areas is becoming an increasingly important issue considering its impact on human health and the environment. The rapid increase in air pollution requires effective methods to predict air quality… uality in order to take appropriate mitigation measures. This study aims to analyze the use of Neural Network (NN) algorithms in predicting air quality in cities. The method used is the application of the NN model, especially the Multilayer Perceptron (MLP), which is trained using historical air quality data such as dust particle levels (PM10, PM2.5), carbon monoxide (CO) gas, and temperature. The data used in this study came from urban air quality monitoring stations collected over a period of time. The results show that the Neural Network algorithm can provide quite accurate predictions of air quality with a low Mean Absolute Error (MAE) value, showing the effectiveness of the model in predicting f fluctuations in air quality. The conclusion of this study is that Neural Network algorithms, specifically MLPs, are an effective tool for air quality prediction, which can be used as a basis for urban air quality management policies.  Keywords: air quality;  neural network; prediction; multilayer perceptron (MLP)    Abstrak: Kualitas udara di perkotaan menjadi isu yang semakin penting mengingat dampaknya terhadap kesehatan manusia dan lingkungan. Peningkatan polusi udara yang pesat memerlukan metode yang efektif untuk memprediksi kualitas udara guna mengambil langkah mitigasi yang tepat. Penelitian ini bertujuan untuk menganalisis penggunaan algoritma Neural Network (NN) dalam memprediksi kualitas udara di perkotaan. Metode yang digunakan adalah penerapan model NN, khususnya Multilayer Perceptron (MLP), yang dilatih menggunakan data kualitas udara historis seperti kadar partikel debu (PM10, PM2.5), gas karbon monoksida (CO), dan suhu. Data yang digunakan dalam penelitian ini berasal dari stasiun pemantauan kualitas udara di perkotaan yang dikumpulkan selama periode waktu tertentu. Hasil penelitian menunjukkan bahwa algoritma Neural Network dapat memberikan prediksi yang cukup akurat terhadap kualitas udara dengan nilai Mean Absolute Error (MAE) yang rendah, menunjukkan efektivitas model dalam memprediksi fluktuasi kualitas udara. Simpulan dari penelitian ini adalah bahwa algoritma Neural Network, khususnya MLP, merupakan alat yang efektif untuk prediksi kualitas udara, yang dapat digunakan sebagai dasar untuk kebijakan pengelolaan kualitas udara di perkotaan Kata kunci: kualitas udara; neural network; prediksi; multilayer perceptron (MLP)

LANDSLIDE RISK IN JAYAPURA REGENCY USING PARAMETER WEIGHTING METHOD FOR DISASTER MITIGATION

Yuliawan, Kristia
Abstract: Abstract: This study maps the vulnerability of landslides in Jayapura Regency, Indonesia, using a parameter weighting method within the framework of the Geographic Information System (GIS). The study identified key factors… rs that contribute to landslide risk, including slope, soil type, rainfall, geology, and land use. The analysis revealed significant areas prone to landslides, with substantial portions classified as moderate to high risk. Comparison with the BNPB Inarisk method shows variations in the percentage of risk areas, highlighting the importance of the double assessment technique. The study underscores the need for an integrated, multidisciplinary approach to landslide risk management, emphasizing accurate data collection, land-use planning, and targeted mitigation strategies. These findings provide valuable insights for policymakers and disaster management agencies to minimize the impact of future landslides and promote sustainable development, especially in light of the 2019 landslide disaster in Sentani. . Keywords: landslide; jayapura regency; parameter weighting method; inarisk BNPB methods; disaster mitigation.   Abstrak: Penelitian ini memetakan kerentanan tanah longsor di Kabupaten Jayapura, Indonesia, menggunakan metode pembobotan parameter dalam kerangka Sistem Informasi Geografis  (GIS). Studi ini mengidentifikasi faktor-faktor kunci yang berkontribusi terhadap risiko tanah longsor, termasuk kemiringan, jenis tanah, curah hujan, geologi, dan penggunaan lahan. Analisis mengungkapkan area signifikan yang rentan terhadap tanah longsor, dengan porsi substansial diklasifikasikan sebagai risiko sedang hingga tinggi. Perbandingan dengan metode BNPB Inarisk menunjukkan variasi persentase area risiko, menyoroti pentingnya teknik penilaian ganda. Studi ini menggarisbawahi perlunya pendekatan multidisiplin yang terintegrasi untuk manajemen risiko tanah longsor, menekankan pengumpulan data yang akurat, perencanaan penggunaan lahan, dan strategi mitigasi yang ditargetkan. Temuan ini memberikan wawasan berharga bagi pembuat kebijakan dan lembaga penanggulangan bencana untuk meminimalkan dampak tanah longsor di masa depan dan mempromosikan pembangunan berkelanjutan, terutama mengingat bencana tanah longsor tahun 2019 di Sentani. . Kata kunci: tanah longsor; kabupaten jayapura; metode pembobotan parameter; metode BNPB Inarisk; mitigasi bencana.    

OPERATIONAL RISK ANALYSIS FOR MANPOWER (DRIVER) ON POSTAL NETWORK

Maniah, Maniah, Mulyati, Erna, Hamidin, Dini
Abstract: Abstract: PT. Indonesian logistics posts have cooperation in the postal network field, namely cooperation in sending goods or shipments at a certain time, a certain amount from one point to another in accordance with a warrant… arrant from the partner. Components of the postal network include Manpower, vehicles, postal operational control, and operational costs. This study aims to examine the problems and roots of problems that cause risk potential for the risk of postal network components, especially in the manpower component (driver), and know how high the impact of the risk. The research method used in this study is qualitative and semi-quantitative methods by conducting case studies. Data collection was carried out by interview/FGD, and the distribution of questionnaires. The results showed that the risk of manpower is at high and very high levels. The results of the study will provide recommendations to the manpower component (driver) in the form of risk mitigation and can be used by companies in managing operational risk on postal networks, especially in the manpower component (driver).             Keywords: manpower; operational risk; postal network; risk mitigation.     Abstrak: PT. Pos Logistik Indonesia memiliki kerjasama dalam bidang Jaringan Postal, yaitu kerjasama dalam mengirimkan barang atau kiriman pada waktu tertentu, jumlah tertentu dari satu titik ke titik lain sesuai dengan surat perintah dari mitra. Komponen pada jaringan Postal meliputi: Man Power, Kendaraan, Pengendalian Operasional Postal, dan Biaya Operasional. Penelitian ini bertujuan untuk mengkaji permasalahan dan akar masalah yang menimbulkan potensi kejadian risiko pada komponen Jaringan Postal khususnya pada komponen manpower (driver) dan mengetahui seberapa tinggi dampak risikonya. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dan semi kuantitatif dengan melakukan studi kasus. Pengumpulan data dilakukan dengan cara wawancara/FGD, dan penyebaran kuesioner. Hasil penelitian menunjukan bahwa risiko pada manpower berada pada level high dan very high. Hasil penelitian akan memberikan rekomendasi terhadap komponen manpower (driver) berupa mitigasi risiko dan dapat digunakan perusahaan dalam pengelolaan risiko operasional pada jaringan Postal khususnya pada komponen manpower (driver).   Kata kunci: jaringan postal; manpower; mitigasi risiko; risiko operasional.  

ANALYSIS AND FORECASTING LEVELS OF FLOOD SEVERE IN PONTIANAK CITY USING ARCGIS

Christanto, Ludovicus Manditya Hari, Farhan, Firda Islamaya, Adi, Ahmad Cahyono
Abstract: Abstract: Flood disasters often occur in areas with certain geographical conditions, such as proximity to rivers, high rainfall especially during the wetseason and soil types that contain clay so that they are not good enough… nough to absorb water. One of the cities in Indonesia whichhas frequent floods. The planned mitigation strategy must be more targeted so that it is more effective in tackling flood disasters. Therefore, mapping with Geographic Information Systems can be used to map areas that are prone to flooding specifically by combining spatial data on each predetermined parameter. Not only that, the integration of Geographic Information Systems and forecasting with multiple linear regression methods can predict the level of flood vulnerability based on the parameters determined in the following year. Based on the analysis that has been done, the areas in Pontianak City that are prone to flood disasters are spread over several sub-districts, namely East Pontianak District, Pontianak City District and parts of North Pontianak District. Keywords: Flood vulnerability; Geographic Information System; Multiple Linear Regression     Abstrak: Bencana banjir seringkali terjadi di wilayah dengan kondisi geografis tertentu sepertijaraknya yang dekat dengan sungai, curah hujan cukup tinggi khususnya pada musim hujan hingga mayoritas jenis tanah yang memiliki kandungan lempung sehingga tidak cukup baikdalam menyerap air. Kota Pontianak merupakan satu diantara kota di Indonesia yang sering dilanda bencana banjir. Oleh karena itu, pemetaan dengan Sistem Informasi Geografis dapat digunakan untuk memetakan wilayah-wilayah yang rawan bencana banjir secara spesifik dengan menggabungkan data spasial pada setiap parameter yang sudah ditentukan. Tidak hanya itu, integrasi sistem informasi geografis dan peramalan dengan metoderegresi linier berganda dapatmemprediksi tingkat kerawanan banjir berdasarkan parameter yang ditentukan pada tahun berikutnya. Berdasarkan analisis yang telah dilakukan, daerah di Kota Pontianak yang rawan bencanabanjir tersebar di beberapa kecamatan yaitu Kecamatan Pontianak Timur, Kecamatan Pontianak Kota dan sebagianKecamatan Pontianak Utara.   Kata kunci: Kerawanan Banjir; Regresi Linier Berganda; Sistem Informasi Geografis  

Qualitative Study: Compliance with the Implementation of Covid-19 Health Protocols at Jambi City Tourist Attractions

Hubaybah, Fitria Eka Putri, Muhammad Rifqi Azhary, Fadzlul
Abstract: The Corona Virus Disease 2019 (Covid-19) pandemic was first known to have appeared in Wuhan City, China in December 2019 and was declared a global pandemic by the World Health Organization (WHO) on March 12 2020. This virus… rus has spread very quickly to several countries in the world, including Indonesia where the Covid-19 pandemic has been designated as a type of disease that causes a Public Health Emergency on March 31 2020. With this determination, mitigation efforts must be carried out in accordance with statutory regulations in emergency response period for handling Covid-19. Tourist attractions have the potential to become a locus for the spread of COVID-19 if there is a gathering of visitors while traveling, causing the need for health protocols in carrying out activities at that location. This research uses qualitative research which aims to gather information about the compliance of people at tourist attractions with the health protocols implemented in Jambi City. The results of this research show that the implementation of the health protocol, namely 5M (wearing a mask, washing hands, maintaining distance, staying away from crowds and reducing mobility) is carried out well and is carried out directly by the government and tourist attraction owners through CHSE (Clean Health Safety and Environment). And the community has good knowledge, attitudes and behavior in complying with the health protocols implemented. The conclusion of this research is that the implementation of health protocols at various tourist attractions in Jambi City has gone well with supervision carried out by the government and tourist owners.

Analysis of Land Surface Temperature Changes in Sorong City, Indonesia Using Landsat 8 Satellite Image Data Based on Cloud Computing

Rakuasa, Heinrich, Do Huy-Hoang, Rafly Aulya Rizky Nasution, Fadlan Turi, Muh Hidayatullah
Abstract: This study aims to analyze land surface temperature changes in Sorong City, Indonesia using Landsat 8 satellite image data and Google Earth Engine cloud computing platform. With rapid urbanization, understanding the dynamics… mics of surface temperature is important. Through satellite imagery and cloud computing technology, this analysis provides accurate monitoring of temperature change, supports climate change mitigation strategies, and designs more sustainable cities.