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International Journal of Advanced Science Computing and Engineering

IJASCE
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Published by Society of Visual Informatics

ISSN : 27147533 EISSN : 27147533 DOI : https://doi.org/10.30630/ijasce

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 9 Documents

Search results for , issue "Vol. 4 No. 2 (2022)" : 9 Documents clear

Paddy Leaf Symptom-based Disease Classification Using Deep CNN with ResNet-50 Rani, Pushpa Athisaya Sakila; Singh, N.Suresh
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

Agriculture is a globally important occupation. Food is a fundamental need for all living things on the earth, hence it plays a significant role. As a result, agricultural product quality has to be improved. Paddy is susceptible to a variety of illnesses, just like all other crops. Diseases vary by region and season. Despite the fact that the number of new technologies being implemented in agriculture is rapidly expanding, farmers in our nation continue to rely on old methods for disease detection. Machine learning relies heavily on features to classify images. The advancement of the deep convolutional neural network paves the path for disease detection in rice based on deep characteristics, with the expectation of excellent yields. Field photos of four forms of rice leaf diseases, including bacterial leaf blight, brown spot, leaf smut, and tungro, were introduced using this proposed method. The model is trained using the deep CNN classification technique. The pre-trained ResNet-50 model is also included to increase the model's prediction accuracy. Existing approaches are outperformed by the combination of Deep CNN and ResNet-50. Accuracy was used as a criterion for evaluating performance.

Real-Time Hidden Data Transmission Using Lora Satyavathi, D.Monica; Mala, B.Vandana; Vamsi, Ch.Veera; Chiranjeevi, Ch.Chiranjeevi; Neeraj, Ch.Neeraj
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

Nowadays, it has become a crucial task in transferring confidential data for military departments, many multinational companies, etc.Â The important requirement is that the data that has been transmitted should not be visible to hackers or third parties from another end. To satisfy this requirement a wireless technology LoRa is used. Long-distance and low-power wireless communication technologies such as LoRa, Sigfox, and Narrowband-Internet of Things (NB-IoT) were developed in recent years. These technologies can contribute to indoor and outdoor smart applications with minimal power consumption. In this study, the LoRa wireless communication technique was used as the primary data communication method, enabling the device to communicate without requiring an Internet connection or a SIM card. This technology can be implemented in military and defense areas.

Implementation of The Moving Average Method for Forecasting Inventory in CV. Tre Jaya Perkasa Huriati, Putri; Erianda, Aldo; Alanda, Alde; Meidelfi, Dwiny; Rasyidah, -; Defni, -; Suryani, Ade Irma
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.

Support Vector Regression Approach for Wind Forecasting Yamin, Mohamad; Giyats, Ahmad Fakhri
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

The government policies to fully support the G20 sustainability emphasize increased use of renewable energy. The high penetration of wind energy into power systems poses many challenges for energy system operators, primarily due to the unpredictability and variability of wind energy production. Wind power may not be provided, but accurate forecasting of wind speed and power generation helps grid operators reduce the risk of reduced electricity reliability. Accurately predicting wind speeds over 1 to 24 hours based on these conditions is important for predicting potential energy supply. These short-term forecasts are important to support wind power planning, so the required base load supply for the grid is always guaranteed (even if the wind power output fluctuates significantly). This task demonstrates that the relative forecasting performance of a support vector regression (SVR) wind forecasting system can be improved by systematically selecting and combining related input functions that affect wind speed. Shows the results of data collected in Sidrap, Indonesia, during the six months of 2019. This paper explained key methods of wind forecasting, based on the evaluation of wind speeds and wind speed prediction methods. The RMSE from the SVR shows an 8% - 9% improvement on the RMSE of the persistence forecast every 1 hour. Wind speed estimation using a support vector regression approach has the potential for further development, one of which is determining the potential location of wind-based renewable sources and Wind Energy Conversion System (WECS) can make more efficient.

Fiber to The Home (FTTH) Network Design in Analyzing Macro Bending Problems in The Home Cable Installation Segment Maria, Popi; Asri, Aprinal Adila; Yustini, Yustini; Wiharti, Wiwik; Prayama, Deddy
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

Fiber to The Home (FTTH) is one of the optical networks used for every home in accessing the internet in the form of voice, data, and video. In this study, the authors built an FTTH design from a Handheld Light Source (HLS) as input, then connected it to ODC. Furthermore, it is connected with ODP, OTP, and ROSET. After building the design, the design was tested using the link power budget calculation method, which is 22.803 dB. As a result, the design has a total attenuation value of 18.4 dB which means it meets the standards and can be used. Next, analyze the problems that have the potential to cause macro bending interference in the FTTH home cable installation segment cable. The methods used in this macro bending problem are the HLS calibration method, Optical Power Meter (OPM) measurement, and Visual Fault Locator (VFL) macro damage detection. From this analysis, the results of macro bending will be obtained on the parameters of curvature diameter, the number of windings, and the search for critical angles of indoor cable macro bending. This macro bending in-home wiring installations affect the total attenuation value on FTTH. In addition, the macro bending of 3-winded indoor cables with a diameter of 0.5 cm on each winding still meets the standards in the FTTH design. However, for macro bending 5 windings with a diameter of 0.5 cm, each winding can cause the total attenuation value of FTTH to pass the Link power budget and ITU-T G984.

Development and Evaluation of a Cloud Computing Adoption Framework (CCAFF) for Retail Banks in Bahrain Adwan, Ehab Juma; Alsaeed, Bader Ali
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

The Information Technology era supports the adoption of Cloud Computing (CC) on a large scale in many business fields, at which the Financial Institutions (i.e., Banking sector) is not an exception. Several gaps were found during an attempted literature reviewing. While several CC methods, strategies, or frameworks have been proposed or utilized for CC adoption in many economic sectors including the Financial institutes (FI)- Banking, it is still a relatively new initiative in many other countries including Bahrain. While Enterprise Architecture (EA) is claimed to be a leading information and business management discipline to develop an architecture that guides the transformation to CC adoption of an enterprise from a baseline state to a target state. However, there is an evident lack of scholarly articles on the development of CC adoption frameworks from EA perspective. Also, it was found that scholarly articles in the evaluation of CC adoption framework are scarce. To address those gaps, this paper aims at developing and evaluating a CCAFF for the CC adoption in Bahraini Banks by adapting a tailored version of the Open Group Architecture Framework (TOGAF) and embedding a tailored version of an enterprise cloud adoption strategy (ECAS) and then evaluating the CCAFF based on several criterions. A six phased Design Science Research Methodology (DSRM) is employed to design the research report, guide, and develop the CCAFF, while the exploratory nature of the research necessitates the employment of a holistic single Case Study strategy for an FI-01 bank, based on semi structured interviews and document analysis data collection techniques. Alongside, the data was analyzed using pattern matching technique. For the CCAFF evaluation, Delphi technique was employed at which seven experts in two rounded panels contribute to the evaluation findings based on six criterions. The evaluation findings demonstrated promising results in terms of ease of use (86.4%), usefulness (84.6%), decision making support (86.6%), comprehensiveness (85.8%), time efficiency (84.8%), and usage intention (84.8%).

Renovation of Crane Control System of Reach Stalker Ferari 178h1 Using Avr Atmega2560 Markis, Lince; Wardana, P.Susetyo; Syawaldipa, Ardi
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

Container rental service companies or container parking facilities providers need container transportation equipment such as Crane Reach Stalker to move and arrange containers. Several container services companies in Surabaya such as Citra Mandiri Sejati have a Crane Reach Stalker made by Ferari Italy which experienced damage to the electrical control. After observing the control unit, the damage was in the hardware comparison system and the relay control used. Dealing with these problems, planning and improvement of the total control system were carried out using the ATMega2560 AVR microcontroller. However, the problem becomes complex and requires cooperation with Hydraulic control partners when the entire system must be resolved. From the renovation work on the Ferari 178H1 Load Handling Crane system for a year, it was obtained that the Load Handling control input data in which it was a joystick and a 3 positions button with an output level of 0 and 9 volts. Hydraulic control uses a Solenoid Valve type 4/3 with 2 input control coils, and in overall system testing, the average length of time for the movement of the Piston Crane is 6 to 12 seconds. From the test results using a 40 tons container load, it was stated by the Crane driver that the time used to carry out Load Handling for the Hydraulic type and the Crane's age was suitable and appropriate. Â

Analysis of Reservoir Water Discharge at Solar Power Plant Tanjung Raja Village as a Basis for Pico Hydro Power Plant Planning in Paddy-Field Area Dinata, Yogi; Indriyani, Indriyani; Dewi, Tresna
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

Energy is an important aspect of life as a whole. The fossil-based energy sources have dwindled over time, in line with population growth and economic growth. One approach to meeting the energy demand is to use renewable energy. According to Presidential Regulation Number 22 of 2017 on National Energy General Plan (RUEN) targets, the share of New and Renewable Energy in total national energy in 2025 will be 25%. The construction of a Hydro Power Plant is expected to reach 3.000 MW by 2025. According to NREEC statistical data from 2016, the potential for constructing a Hydro Power Plant in South Sumatera is approximately 448 MW. This paper investigates the possibility and potential of building Hydro Power Plant from the reservoir of the irrigation water system generated by a Solar Power Plant in Tanjung Raja Village, Muara Enim District, South Sumatra. The water discharge magnitude is measured, and the potential of electricity generated from the discharge is presented. The experimental data shows that water discharge from the reservoir can generate maximum electricity ofÂ 806,6488 watts with a discharge rate of 0.0653 m3/s, and power is 36,7245 watts, with a discharge of 0,0030 m3/s. The average electricity potential is approximately 375.6782 watts, with a discharge average of 0.0304 m3/s. Therefore, the experimental data shows the possibility of hybridizing the Solar Power Plant with Hydro Power Plant, which will be beneficial for the residential area in Tanjung Raja Village, Muara Enim.

A Linguistic Communication Interpretation Wearable Device for Deaf and Mute User Rehman, Adil; Shoufan, Abdulhadi
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 2 (2022)
Publisher : SOTVI

There is a segment of society, which does not have access to today's sophisticated acoustics, but gesture-based sign language, such as using the hands or the shoulders of the eyes, can be a vital tool for making sure their audio is audible. The most widely used sign language in the world, known as ALCâ€”American Linguistic Communicationâ€”varies slightly depending on the nation. Deaf and mute people can communicate effectively by using hand gestures to convey their message. The wearable good glove we developed for this study will translate ALC motions into the proper alphabets and words. It makes use of a glove with a number of flex sensors on the fingers' distal and proximal interphalangeal joints as well as the metacarpophalangeal joint to detect finger bending. The complete system is divided into three units: a wearable hand glove unit with a flexible device that records user-created ALC gestures, a processing unit in charge of taking sensor data, and a final unit that uses a machine classifier to identify the appropriate alphabet. In order to receive known alphabet data in text form through a wired channel via the mobile "Sign to Speech App," which presented that text data into this app, the smartphone unit is linked to the processing unit. Its user-friendly design, low cost, and availability on mobile platforms give it an edge over traditional gesture language techniques.

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Contact

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Contact Name
Alde Alanda

Contact Email
alde@pnp.ac.id

Phone
+6281267775707

Journal Mail Official
editor@ijasce.org

Editorial Address
Kampus Limau Manis

Location
Kota padang,

Sumatera barat

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Alde Alanda

Contact Email alde@pnp.ac.id

Phone +6281267775707

Journal Mail Official editor@ijasce.org

Editorial Address Kampus Limau Manis

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Alde Alanda

Contact Email
alde@pnp.ac.id

Phone
+6281267775707

Journal Mail Official
editor@ijasce.org

Editorial Address
Kampus Limau Manis

Location
Kota padang,

Sumatera barat

INDONESIA