6 research outputs found
Triyugo Winarko's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
ANALISIS KNOWLEDGE MANAGEMENT SYSTEM PADA STMIK MITRA LAMPUNG
No full textKnowledge is information that is contextual, relevant and actionable. Knowledge differs from data or information because knowledge is only found in one's thinking. For that we need the knowledge that knowledge management can be an "intangible assets" that can be managed and utilized by many people. STMIK Mitra Lampung is a college with a wealth of knowledge on each personal well yet manageable, so that the knowledge management is expected to be "intangible assets" that can play its role optimally. In the analysis of knowledge management system is the method used is knowledge management roadmap, ranging from creating a business-driven knowledge management strategy, design, development through the implementation of knowledge management system. Each academic community from faculty, staff, students to the community in STMIK Mitra Lampung environment can share and utilize knowledge is vast and infinite.Keywords: Knowledge, Knowledge Management System, Knowledge Management Roadma
PENERAPAN APLIKASI WEBSITE DALAM PENGOLAHAN DATA POSYANDU PADA POSYANDU BINA SEJAHTERA
No full textPosyandu adalah salah satu wujud Upaya Kesehatan Bersumber Masyarakat (UKBM) yang diterapkan serta dilaksanakan oleh warga dalam penyelenggaraan kesehatan, sehingga mempermudah warga dalam memperoleh pelayanan kesehatan dasar untuk merendahkan angka kematian bunda serta balita. Posyandu Bina Sejahtera merupakan suatu unit layanan kesehatan di dasar naungan Dinas Kesehatan Kec. Rajabasa yang terletak di Desa Madiun Rajabasa Raya. Tugas posyandu ialah untuk melakukan aktivitas pelayanan kesehatan warga yang berbentuk pelayanan Kesehatan Bunda serta Anak (KIA). Pengolahan informasi posyandu Bina Sejahtera masih menggunakan cara manual pada pengolahan data balita, yaitu masih mencatat data posyandu ke dalam buku besar. Proses pencatatan tersebut memerlukan waktu yang cukup lama serta penggunaan kertas yang bisa hilang dan rusak. Serta dapat memperlambat dalam pencarian informasi dan pembuatan laporan. Untuk mengatasi permasalahan tersebut maka dibutuhkan suatu Aplikasi Website untuk pengolahan data posyandu agar dapat membantu pengolahan informasi posyandu di Desa Madiun Rajabasa Raya. Hasil dari penelitian ini adalah dapat mempermudah pengolahan data posyandu di Desa Madiun Rajabasa Raya seperti mempermudah pencatatan data balita, pencarian data serta pembuatan laporan data posyandu
Implementation of Data Mining for Classifying Student Graduation Levels Using Naive Bayes, Decision Tree, Random Forest, Support Vector Machines and Neural Networks Methods (Case Study of The Undergraduate Program at Mitra Indonesia University)
No full textThis study aims to classify student graduation levels using five data mining methods: Naive Bayes, Decision Tree, Random Forest, Support Vector Machines, and Neural Networks. Conducted as a case study at Mitra Indonesia University, the research utilizes academic data, including GPA, course completion rates, and attendance records, to predict graduation success. The results reveal that Random Forest and Neural Networks exhibit the highest accuracy, making them the most suitable methods for predicting student outcomes. These findings contribute to the development of early intervention programs for students at risk of delayed graduation, providing valuable insights for higher education institutions.
 
Penerapan Metode Enterprise Architecture Planning dalam Pengembangan Kelestarian Alam TNWK Lampung
No full textWay Kambas National Park in Lampung is a National Park in which there are various kinds of flora and fauna that must be preserved, the most popular of which is the elephant. The problem faced by the Way Kambas National Park Center is that it does not yet have optimal technology and does not yet have a clear plan in developing its technological infrastructure so that the provision of information or exchange of data regarding flora and fauna is experiencing problems and the development of natural sustainability is only based on the needs at that time. not necessarily have optimal value and benefits. Therefore it is necessary to use the right method for its development. In this study the method used is the Enterprise Architecture Planning method which is applied in the form of a Blueprint. This blueprint can be used to support the policy strategies taken by the management in taking steps to develop natural sustainability related to information and technology. The purpose of this study is to analyze threats or causes that can damage the natural sustainability of Way Kambas National Park, analyze data, architecture and technology used in Way Kambas National Park management and to develop the natural preservation of Way Kambas National Park by using better technology so that sustainability nature can be well preserved without overriding the tourist attraction. The result of this research is to produce an information architecture picture (blueprint) both from data architecture, application and technology which is expected to be used as a basis for the development of information systems in Way Kambas National Park
Model Prediksi Keamanan Siber Menggunakan Artificial Intelligence untuk Mitigasi Ancaman Digital: -
No full textAbstract. Cybersecurity has become a critical issue in the era of digital transformation, especially with the increasing threat of ransomware attacks targeting government digital infrastructure. This study develops an artificial intelligence-based cybersecurity prediction model to mitigate digital threats. The proposed model utilizes machine learning techniques to detect attack patterns based on historical datasets. This research analyzes the performance of several algorithms, including Random Forest, Support Vector Machine, and Deep Learning, to identify the most effective method for threat classification. The evaluation is conducted using accuracy, precision-recall, and F1-score metrics to measure model performance. Experimental results indicate that artificial intelligence-based approaches significantly enhance early ransomware attack detection, providing valuable insights for policymakers in strengthening cybersecurity resilience. These findings are expected to serve as a foundation for developing more adaptive and proactive cyber defense systems against future digital threats..
Abstrak. Keamanan siber menjadi isu krusial dalam era transformasi digital, terutama dengan meningkatnya ancaman serangan ransomware yang menargetkan infrastruktur digital pemerintah. Studi ini mengembangkan model prediksi keamanan siber berbasis kecerdasan buatan untuk mitigasi ancaman digital. Model yang diusulkan menggunakan teknik machine learning untuk mendeteksi pola serangan berdasarkan dataset historis. Penelitian ini menganalisis performa beberapa algoritma, termasuk Random Forest, Support Vector Machine, dan Deep Learning, untuk mengidentifikasi metode yang paling efektif dalam klasifikasi ancaman. Evaluasi dilakukan dengan menggunakan metrik akurasi, precision-recall, dan F1-score untuk mengukur kinerja model. Hasil eksperimen menunjukkan bahwa pendekatan berbasis kecerdasan buatan mampu meningkatkan deteksi dini serangan ransomware secara signifikan, sehingga memberikan wawasan bagi pengambil kebijakan dalam meningkatkan ketahanan sistem keamanan siber. Temuan ini diharapkan dapat menjadi landasan bagi pengembangan sistem pertahanan siber yang lebih adaptif dan proaktif dalam menghadapi ancaman digital di masa depan
