A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force

Rumetna, Matheus Supriyanto; Lina, Tirsa Ninia; Lopulalan, Joseph Eliza

doi:10.30630/joiv.4.4.418

Cited by 7 publications

(5 citation statements)

References 45 publications

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“…In other words, the branch or child node that is visited first. DLS limits the maximum level of a solution [34], [35], [36], [37], [38], [39], [40].…”

Section: ) Analysis Methodsmentioning

confidence: 99%

Comparison Analysis of Breadth First Search and Depth Limited Search Algorithms in Sudoku Game

Lina

Rumetna

2021

Bulletin of Comp. Sci. Electr. Eng.

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Sudoku is a game that sharpens the brain and is very well known. But the problem faced in this condition is how we can find a solution for the completion of this game. Problems with the Sudoku game can be solved by using the concept of Artificial Intelligence (AI). Some of the algorithms that can be used are the Breadth First Search (BFS) and Depth Limited Search (DLS) algorithms. The purpose of this research is to find a solution for Sudoku and make a comparative analysis of the search results of the two algorithms. The results obtained are application design in the form of a simulation of the completion of the Sudoku game problem with two algorithms. And it has been proven from the two algorithms that DLS is more efficient and faster than BFS. While BFS itself has advantages, in terms of a more structured and systematic search system that is able to find all possible numbers in each box. In this case, if a Sudoku question has more than one answer, then BFS will find it.

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“…In other words, the branch or child node that is visited first. DLS limits the maximum level of a solution [34], [35], [36], [37], [38], [39], [40].…”

Section: ) Analysis Methodsmentioning

confidence: 99%

Comparison Analysis of Breadth First Search and Depth Limited Search Algorithms in Sudoku Game

Lina

Rumetna

2021

Bulletin of Comp. Sci. Electr. Eng.

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“…Permasalahan lain yang menjadi kendala bagi industri rumahan yaitu masa pandemic covid-19. Operasional yang sulit mengakibatkan potensi untuk berkembang mengalami penurunan yang signifikan selama dua tahun terakhir (M. S. Rumetna, T. N. Lina, and J. E. Lopulalan, 2020).…”

Section: Latar Belakangunclassified

Model Fuzzy Goal Programing Untuk Mengoptimalkan Produksi Keripik Singkong Pada Masa Pandemi Covid-19

Suri,

Budianti

2024

NJPIP

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The The obstacling that faced by the industry today is the less maximum results from allocating material sources for production and optimizing production results. The Covid-19 pandemic has influenced in the homemade cassava chip business being less developed and increasingly experiencing setbacks. The business owners are not ready to face a pandemic situation which makes one of the obstacles less than optimal in terms of income. The right modeling technique can result in satisfaction with the desired production results and income which are wanted. In this research, The problem of optimizing production is solved by using fuzzy goal programming model. This model does not need to use goal weighting so that the optimal solution is only based on the desired target. In the decision making in this research using Lingo 18.0 application which in its solution is not necessary using overtime and easy to use. This research will be carried out in two homemade industries of cassava chips, those are namely Lestari Jaya and Berkah Jaya Abadi. Based on the calculating simulation on optimizing the production of two homemade cassava chip industries in East Lampung Regency, the results obtained are more optimal by using the fuzzy goal programming model.

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“…Selain dukungan pemerintah, ketersediaan sumber daya manusia yang terlatih juga menjadi faktor kritis (Rumetna et al, 2020;. Personel yang terlibat dalam penggunaan KMS, seperti petugas penanggulangan bencana, analis data, dan administrator teknologi informasi, harus mendapatkan pelatihan yang memadai.…”

Section: Faktor-faktor Kunci Yang Mempengaruhi Keberhasilan Atau Kega...unclassified

Analisis Literatur Implementasi Web-Based Knowledge Management System Dalam Manajemen Bencana Di Indonesia

Wardhana,

Sugihartati,

Laksmi

et al. 2024

JAI

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Manajemen bencana di Indonesia menghadapi tantangan yang kompleks akibat risiko tinggi terhadap berbagai bencana alam. Dalam konteks ini, Knowledge Management System (KMS) berbasis web telah diidentifikasi sebagai solusi potensial untuk meningkatkan efektivitas dan efisiensi manajemen informasi selama keadaan darurat. Penelitian ini menyajikan sebuah kajian literatur sistematis yang bertujuan untuk mengevaluasi implementasi KMS berbasis web dalam manajemen bencana di Indonesia. Melalui analisis yang cermat terhadap sejumlah studi dan laporan terkait, penelitian ini mengidentifikasi tren, tantangan, dan praktik terbaik dalam penerapan KMS berbasis web. Hasil analisis menunjukkan bahwa KMS berbasis web memiliki potensi besar dalam memfasilitasi pengumpulan, penyimpanan, dan distribusi informasi secara real-time, yang sangat penting dalam situasi darurat bencana. Namun, tantangan seperti ketidakmerataan infrastruktur teknologi, kurangnya sumber daya manusia terlatih, dan dukungan kebijakan yang kurang memadai menjadi hambatan dalam implementasi yang efektif. Rekomendasi strategis yang diusulkan mencakup penguatan infrastruktur teknologi, pelatihan yang berkelanjutan bagi pengguna KMS, serta peningkatan kolaborasi lintas sektor. Dukungan kebijakan yang kuat dari pemerintah juga dipandang penting untuk mendorong adopsi dan penggunaan KMS secara luas

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A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force

Cited by 7 publications

References 45 publications

Comparison Analysis of Breadth First Search and Depth Limited Search Algorithms in Sudoku Game

Comparison Analysis of Breadth First Search and Depth Limited Search Algorithms in Sudoku Game

Model Fuzzy Goal Programing Untuk Mengoptimalkan Produksi Keripik Singkong Pada Masa Pandemi Covid-19

Analisis Literatur Implementasi Web-Based Knowledge Management System Dalam Manajemen Bencana Di Indonesia

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