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Journal : Techno Nusa Mandiri : Journal of Computing and Information Technology

DESIGNING A ROUTER REDUCTION SYSTEM USING HOT STANDBY ROUTER PROTOCOL METHOD FOR BACKUP LINK IN DITJEN PPKL Andri Nuki Baskoro; Anton Anton; Puji Astuti
Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v17i2.1643

Abstract

Computer networks play an important role in data communication at companies or government institutions to support them in terms of work. In this case, the authors conducted observational research and direct interviews with IT staff at the Ditjen PPKL Control about how the network operates in that place. Routers have a very important role in data communication and connecting different networks, so a router reduction system is needed as a solution to minimize failures on the network or these devices. The network topology in each office or government agency is different, which makes the problems in each government office or agency different. Based on the research that has been done, the network of the Ditjen PPKL often experiences a link down which causes disconnection of the internet connection and hinders the productivity of staff. So a router redundancy system is needed to maintain network availability, such as the Hot Standby Router Protocol (HSRP) which has two lines, one as the mainline and the other as a backup if the mainline is down. That way network availability will always be maintained without having to wait for the IT staff to do troubleshooting if there is a network failure. The result of this research is to provide maintained network availability. Even if a link goes down, the network will automatically return to normal.
K-MEANS SEGMENTATION AND CLASSIFICATION OF SWIETENIA MAHAGONI WOOD DEFECTS Sri Rahayu; Dwiza Riana; Anton Anton
Jurnal Techno Nusa Mandiri Vol 18 No 2 (2021): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v18i2.2222

Abstract

The potential and usefulness of wood to meet the needs of human life are not in doubt. Demands us to continue to maintain the quality. Wood quality is closely related to wood defects. Manual defect checks in the wood industry are unreliable because they are prone to human error, For example, due to acute symptoms of headaches and tired eyes, technology in the form of image processing can help identify wood defects Swietenia Mahagoni. In this case, the method used is Euclidean distance with a ratio of k-means segmentation and thresholding on 42 images of wood defects consisting of 3 types of defects, namely growing skin defects, rotting knots, and healthy knots, every 14 images with data sharing. training for 30 images and testing for 12 images. The results of the k-means segmentation are then extracted on 6 features including metric, eccentricity, contrast, correlation, energy, and homogeneity using the Gray Level Co-occurrence Matrix (GLCM) extractor and classified by calculating the closest distance using the euclidean distance between the results of data feature extraction. testing of the value of feature extraction in the training data which is used as a previous database. It is the smallest value that indicates the type of defect. The success calculation is presented in the confusion matrix calculation and gets a success or accuracy value of 91.67%.