KNOWLEDGE SHARING MENGGUNAKAN ALGORITMA COLLUSI

Knowledge management (KM) merupakan ilmu untuk mendokumentasikan dan meyebarkan Knowledge. Salah satu proses dalam knowledge management system adalah knowledge sharing. Pada penelitian terdahulu, penulis telah menerapkan algoritma string matching untuk membantu proses knowledge sharing. Penulis telah menerapkan algoritma string matching untuk membantu proses knowledge sharing. Algortima string matching yang digunakan adalah Bruto force, Knuth Morris Path(KMP). Pada Peneltian ini penulis akan menggunakan algorima string macthing Colussi. Hasil dari penelitian ini menunjukan Algoritma colossi mempunyai waktu pencarian lebih cepat dibandingkan Algorimta string matching lainnya seperti Algoritma Knutt Morris Patt dan Algoritma Boyer Moore

Perbandingan Kinerja Kernel RBF dan Linear pada Algoritma Support Vector Machine (SVM) untuk Prediksi Serangan Ransomware Locker

Ransomware is one type of Malware that is very dangerous. The way Ransomware works is to infiltrate and then be able to duplicate files that run on the Windows operating system. Ransomware encrypts and locks onto a file system very quickly. Ransomware will give a notice by telling how to open the file system by making a payment via cryptocurrency. Ransomware is very detrimental to users. One type is Ransomware Locker. Ransomware locker is very dangerous, therefore it is necessary to make a prediction model about Ransomware Locker attacks. Several Machine Learning methods are able to solve prediction system problems, one of which is the Support Vector Machine (SVM) method. To get the best model in prediction, it is necessary to do a comparison between two SVM kernels namely RBF and Linear. As a result, the SVM RBF method was able to produce excellent performance, namely 93.27% for AUC Train and 93.41 for AUC Tes

Wireless Sensor System for Prediction of Carbon Monoxide Concentration using Fuzzy Time Series

Carbon monoxide (CO) concentration produced from incomplete material burning affects both work health and safety. A smart system capable of early detection of carbon monoxide (CO) concentration is therefore required. This research develops a carbon monoxide sensor detection capability using a wireless sensor system that transmits data to the web server via internet connection. A semiconductor CO sensor is installed in a remote terminal unit. A computer application is developed for data acquisition and sending  via online and in real time to a web server using an internet modem. For a web-based prediction of CO concentration, a Fuzzy Time Series algorithm induced by Pritpal Sing matrix is used. This research uses CO concentration data for two months. The resulting carbon monoxide concentration   prediction   is  displayed   in  real  time  on  a dashboard. This prediction is for the next day’s forecast. Results show that the Fuzzy Time Series that is induced by Pritpal Sing matrix has an average error of 2.67 %, calculated  with its average forecasting error rate (AFER). This error value varies, depending on the number of data and data characteristics

PERBANDINGAN ALGORITMA K-MEANS DAN K-MEDOIDS DALAM CLUSTERING RATA-RATA PENAMBAHAN KASUS COVID-19 BERDASARKAN KOTA/KABUPATEN DI PROVINSI SUMATERA SELATAN

  Penyebaran yang cukup luas dan cepat, membuat pandemi Covid-19 di Sumatera Selatan berdampak negatif pada semua sektor seperti kesehatan, pekerjaan dan perekonomian. Dengan kebijakan pemerintah yang mengelompokkan wilayah penanganan Covid-19 menjadi 4 zona, perlu dievaluasi apakah pengelompokkan wilayah tersebut sudah tepat menggunakan teknik clustering data mining dengan algoritma K-Means dan K-Medoids. Dari hasil pengujian algoritma K-Means memberikan nilai DBI terbaik adalah 0.078 pada K=2. Sedangkan algoritma K-Medoids memberikan nilai DBI terbaik adalah 0.250 pada K=3. Sehingga kesimpulan yang didapatkan, pembagian wilayah penanganan Covid-19 di provinsi Sumatera Selatan dibagi menjadi 2 cluster (yaitu Kota Palembang dan Luar Kota Palembang) atau menjadi 3 cluster (yaitu Kota Palembang, dekat dengan Kota Palembang dan jauh dari Kota Palembang).   Kata kunci: Covid-19, K-Means, K-Medoids, Clustering, DB

A Context-Aware Mobile-Based System for Crime Prevention and Emergencies

Crime is a global issue that arises as a consequence of social problems in society such as poverty and densely population due to urbanization. In large cities, governments have applied technology to support crime prevention. In this paper, a mobile-based system is proposed to increase knowledge and public awareness which may reduce the risk of crimes. A context-aware system, namely, geo-fence, is used to enable virtual fences around crime hotspots. Crime hotspots are determined using crime histories and crowd-sourced data provided by citizens. As citizens enter crime hotspots, they would be alerted and provided information. Meanwhile, if they find or experience crime, they are able to report and label the location of the crime

PERANCANGAN SISTEM INFORMASI PENGELOLAAN DOKUMEN (STUDI KASUS: FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA)

Abstract—Currently document management at Fakultas IlmuKomputer Universitas Sriwijaya still not managed using a system ofmanagement documents digitally integrated both documents fromthe internal want any external document so that it is of course veryinconvenient and difficult for administrator to view or control thedata and dispose of documents that of the institutions, in this studyresulted in a draft document management information system tostreamline data management processes documents in FakultasIlmu Komputer Universitas Sriwijaya.Intisari– Saat ini pengelolaan dokumen di Fakultas IlmuKomputer Universitas Sriwijaya masih belum dikelolamenggunakan sistem manajemen pengelolaan dokumen secaradigital yang terintegrasi baik itu dokumen dari internal mau pundokumen eksternal sehingga hal ini tentu saja sangat merepotkandan menyulitkan pihak pengelolah untuk melihat ataupunmengontrol data dan mendisposisikan dokumennya yang ada padaInstitusinya, pada penelitian ini menghasilkan sebuah rancangansistem informasi pengelolaan dokumen untuk mengefektifkanproses pengelolaan data dokumen di lingkungan Fakultas IlmuKomputer Universitas Sriwijaya.Key Words— e-Dokumen, Design System, e-Arsip

Analisis Sistem Informasi Manajemen Perkuliahan Pada Fakultas Ilmu Komputer Universitas Sriwijaya

One of the main tasks of Computer Science Faculty of Sriwijaya University (Fasilkom Unsri) as one of the higher education institution is the academic management. Academic process in Fasilkom Unsri still emphasizes the use of word processing and spreadsheet applications that can result in delays and redundancy on the processing of data for syllabus, units lecture event, teachers' attendance, and class schedules reports. The absence of a specialized system that monitors the lecture materials directly can also result in decision making process by the top-level-management becomes less optimal to improve the quality of higher education in the academic field. Development of Course Management Information Systems is an effort to facilitate the top-level-management (Dean, Assistant Dean) in business management and evaluation of the overall college process that has occurred in order to improve the quality of higher education in the academic field using computer-based systems.This study emphasizes the process of developing course management information systems at Fasilkom Unsri, particularly in systems analysis phase. The methodology used is the Framework for the Application of Systems Thinking (FAST). In this methodology there are some systems analysis processes, namely the scope definition, problem analysis, requirements analysis, logical design and decision analysis.This study produced a proposed system and application architecture of management information systems courses in Fasilkom Unsri

Analisis Sistem Informasi Manajemen Perkuliahan pada Fakultas Ilmu Komputer Universitas Sriwijaya

One of the main tasks of Computer Science Faculty of Sriwijaya University (Fasilkom Unsri) as one of the higher education institution is the academic management. Academic process in Fasilkom Unsri still emphasizes the use of word processing and spreadsheet applications that can result in delays and redundancy on the processing of data for syllabus, units lecture event, teachers’ attendance, and class schedules reports. The absence of a specialized system that monitors the lecture materials directly can also result in decision making process by the top-level-management becomes less optimal to improve the quality of higher education in the academic field. Development of Course Management Information Systems is an effort to facilitate the top-level-management (Dean, Assistant Dean) in business management and evaluation of the overall college process that has occurred in order to improve the quality of higher education in the academic field using computer-based systems.This study emphasizes the process of developing course management information systems at Fasilkom Unsri, particularly in systems analysis phase. The methodology used is the Framework for the Application of Systems Thinking (FAST). In this methodology there are some systems analysis processes, namely the scope definition, problem analysis, requirements analysis, logical design and decision analysis.This study produced a proposed system and application architecture of management information systems courses in Fasilkom Unsri.   Keywords: course management information system, user interface, Framework for the Application of Systems Thinking (FAST), system analysi

PENGEMBANGAN SISTEM INFORMASI MANAJEMEN PERKULIAHAN PADA FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA

One of the information system used by higher education management information system lecture. Sriwijaya University Faculty of Computer Science is the faculty who already have management information systems classes, but in that system, there are still shortcomings and therefore systems must be developed in order to improve the quality of higher education. The method used in this study is the method of system development FAST (Framework for the Application of Systems Techniques).   Kata kunci : Sistem Informasi Manajemen Perkuliahan, Fakultas Ilmu Komputer Universitas Sriwijaya, FAST (Framework for the Application of Systems Techniques