Pembentua Pola Desain Motif Karawo Gorontalo Menggunakan K-Means Color Quantization dan Structured Forest Edge Detecion

<p class="Abstrak">Sulaman Karawo merupakan kerajinan tangan berupa sulaman khas dari daerah Gorontalo. Motif sulaman diterapkan secara detail berdasarkan suatu pola desain tertentu. Pola desain digambarkan pada kertas dengan berbagai panduannya. Gambar yang diterapkan pada pola memiliki resolusi sangat rendah dan harus mempertahankan bentuknya. Penelitian ini mengembangkan metode pembentukan pola desain motif Karawo dari citra digital. Proses dilakukan dengan pengolahan awal menggunakan <em>k-means color quantization (KMCQ)</em> dan deteksi tepi <em>structured forest</em>. Proses selanjutnya melakukan pengurangan resolusi menggunakan metode <em>pixelation</em> dan <em>binarization</em>. Luaran dari algoritma menghasilkan 3 citra berbeda dengan ukuran yang sama, yaitu: citra tepi, citra biner, dan citra berwarna. Ketiga citra tersebut selanjutnya dilakukan proses pembentukan pola desain motif Karawo dengan berbagai petunjuk pola bagi pengrajin. Hasil menunjukkan bahwa pola desain motif dapat digunakan dan dimengerti oleh para pengrajin dalam menerapkannya di sulaman Karawo. Pengujian nilai-nilai parameter dilakukan pada metode <em>k-means</em>, <em>gaussian filter</em>, <em>pixelation</em>, dan <em>binarization.</em> Parameter-parameter tersebut yaitu: k pada <em>k-means</em>, <em>kernel</em> pada <em>gaussian filter</em>, lebar piksel pada <em>pixelation</em>, dan nilai <em>threshold</em> pada <em>binarization</em>. Pengujian menunjukkan nilai terendah tiap parameter adalah k=4, kernel=3x3, lebar piksel=70, dan <em>threshold</em>=20. Hasil memperlihatkan makin tinggi nilai-nilai tersebut maka semakin baik pola desain motif yang dihasilkan. Nilai-nilai tersebut merupakan nilai parameter terendah dalam pembentukan pola desain motif berkualitas baik berdasarkan indikator-indikator dari desainer.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>Karawo embroidery is a unique handicraft from Gorontalo. The embroidery motif is applied in detail based on a certain design pattern. These patterns are depicted on paper with various guides. The image applied to the pattern is very low resolution and retains its shape. This study develops a method to generate a Karawo design pattern from a digital image. The process begins by using k-means color quantization (KMCQ) to reduce the number of colors and edge detection of the structured forest. The next process is to change the resolution using pixelation and binarization methods. The output algorithm produces 3 different state images of the same size, which are: edge image, binary image, and color image. These images are used in the formation of the Karawo motif design pattern. The motif contains various pattern instructions for the craftsman. The results show that it can be used and understood by the craftsmen in its application in Karawo embroidery. Testing parameter values on the k-means method, Gaussian filter, pixelation, and binarization. These parameters are k on KMCQ, the kernel on a gaussian filter, pixel width in pixelation, and threshold value in binarization. The results show that the lowest value of each parameter is k=4, kernel=3x3, pixel width=70, and threshold=20. The results show that the higher these values, the better the results of the pattern design motif. Those values are the lower input to generate a good quality pattern design based on the designer’s indicators.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

Wrist Wearable Health Band for COVID-19 Testing

Testing people for COVID-19 in a country like India with a huge population is a near impossible task therefore the government is using body temperature as a testing parameter to cover the whole population. Infrared thermometers are used to find the temperature because it is a cheaper and faster way. This testing rate can be done even faster, without the need of manpower and with far more accuracy using smart watches and bands. These wrist-wearables are mostly used for fitness purposes which have more measuring equipment that is used for preliminary testing done for COVID. This equipment’s are in the form of electric sensors which are small enough to be used in wearables. So we can get even more insight and accuracy compared to the standard method. In this study an application is created to use an array of sensors (Pulse sensor, Pulse oximeter, Accelerometer and temperature sensor) are being used in these wearables to find the chance, that a person is affected due to COVID-19 and the information can be seen real time in mobile phone through the application. All the information can be sent to the health organization’s if required.

Perancangan Backup Link Menggunakan Metode HSRP (Hot Standby Router Protocol) Dalam Penyediaan Layer-3 Redundansi

With the increase of internet user today, if it only has one router, when the router experiencing a network failure, then the internet cannot be used. To overcome this problem, the HSRP (Hot Standby Router Protocol) method by creating one active link and one backup link has been applied in the previous research. In this research will be applying the HSRP, VTP (Vlan Trunking Protocol), InterVLAN, and VLAN (Virtual Local Area Network) as a comparison. The testing parameter in this research will be using packet loss and throughput. From the result of testing that has been done, it shows that by applying the HSRP method, it gives a network availability with the packet loss of only 0,32%, and throughput of 1,159Mb/s (95,58%) from using 100 PC.

The Application of Taguchi Method in Optimizing Fabrication of Composite Panel for Particleboard

This paper titled The Taguchi Method application for mechanical properties in the making of particleboard was one by considering the Modulus of Elasticity (MOE) and Modulus of Rupture (MOR) as a testing parameter. This research was done by using combination of dust wood and fruit from Acacia itself as main materials. It was mixed with Polyurethane (PU) as a resin and Paraffin Wax (PW) as a filler with specific values. This study mainly uses Hot Press Machine (HPM) and the Universal Tensile Machine (UTM) to produce and test specimens. The TGA analysis was used to prove the indicator of temperature before the process of the specimen began. Meanwhile the SEM and EDX testing were used to identify spectrum of chemical content in the specimen after the testing process was done. The Taguchi Method is used to create the design of experiment (DOE) table that contains optimized parameter of experimental results. While to foresee the degree of centrality tests that add to the solidarity of the quality is finished by ANOVA with Minitab 17 programming. The result will be compared with the Japanese Industry Standard (JIS) for MOE and MOR testing. From the research, the optimized formula was A3B3 specimen. The results obtained for MOE was 5134 (MPa) for Modulus Young and the result of MOR was 21.9 (MPa) for Flexural Strength.

Effect of carbon fibre on reinforcement of thermoplastics using FDM and RSM

Continuous fibre-reinforced composites have significant industrial importance and usage. However, they are limited by design considerations and high-cost manufacturing operations. This article presents a way forward to utilize Fused Deposition Modelling – a 3D printing technique – to manufacture continuous carbon fibre-reinforced thermoplastics. Several parameters including number of reinforced layers, material impact and interlayer gap have been investigated and optimized using response surface method. Successful incorporation of modified novel nozzle design in a dual nozzle setup resulted in the realization of controlled manufacturing of continuously reinforced composites leading to reinforced yet smooth surface finished samples. Several samples were made, and mechanical testing, parameter optimization, strength calculations and fracture analysis were carried out. For polylactic acid (PLA), tensile strength of 112 MPa and flexural strength of 164 MPA were achieved – an almost 3 times increase from pure PLA printing. The approach presented in this article can forward continuous fibre-reinforced composites for industrial usage with its controlled fibre layup and programmable thread orientation features.

Evolution and accumulation of C-CO2 in biogenic and physiogenic aggregates of different agroecological management systems

Determination of mineralizable carbon (C) is based on the evolution of C-CO2, reflecting the activity of soil biota in soil organic matter (SOM) decomposition, and can be used as a testing parameter in agroecological production systems. The objective of the present work was to quantify mineralizable C in aggregates of different biogenic and physiogenic formation pathways in agroecological management systems in the city of Seropédica, state of Rio de Janeiro. Five sampling areas were selected: (1) 10-year agroforestry system (AFS), (2) 15-year full sun coffee (C-SUN), (3) 15-year shaded coffee (C-SHA), (4) 10-year phlegm alleles (FLE), and (5) 6-year no-till planting system with corn and eggplant (NT) in Red-Yellow Argissolo in Seropédica-RJ.Morphological patterns were used to identify the formation pathway (biogenic and physiogenic) of aggregates. In these, fertility, total organic carbon (TOC), and total nitrogen (TN) were evaluated. The evolution and accumulation of C-CO2were determined in the laboratory after 35 days of incubation. The NT area under agroecological management present higher C-CO2 accumulation between the systems with biogenic aggregates and less accumulation in the physiogenic aggregates.