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Richki Hardi
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Jl. Letjend. TNI. Z.A Maulani No. 9 Damai Bahagia, Kota Balikpapan, Kalimantan Timur, Indonesia, 76114
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Mulia International Journal in Science and Technical
Published by Universitas Mulia
ISSN : -     EISSN : 26227754     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Science and Technical. MULTICA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. MULTICA invites submissions in all areas of Science and Technical.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol 1 No 1 (2018): August" : 5 Documents clear
New Combination Approach to Predict Daily Electric Load Based on Artificial Neural Networks Enduardo; Hugo Ribeiro
Mulia International Journal in Science and Technical Vol 1 No 1 (2018): August
Publisher : Universitas Mulia

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Abstract

In this paper, new methods combined based on Modified Bat Algorithms (MBA) and Artificial Neural Network algorithms have been proposed to estimate the peak power load of electricity. In the proposed method, Bat Algorithm is used as a popular optimization method and Artificial Neural Networks are also used as a mathematical method that is strong in mapping nonlinear relationships between model variables for the purpose of predicting daily electrical loads. In addition, to improve the performance of bat algorithms with respect to avoiding local optimal utilization and increasing the speed of convergence, several modifications have been made in the bat algorithm called SAMBA. The experimental results show that the proposed method has superior performance compared to other traditional machine learning algorithms.
New cases to strengthen learning in programming course Elham Tavakol
Mulia International Journal in Science and Technical Vol 1 No 1 (2018): August
Publisher : Universitas Mulia

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Abstract

Difficult learning methods are currently getting smaller for the public to be interested in, now they have switched how difficult is easy and fun. Information theorists agree that "smart" models are interesting new topics in the field of algorithms, and experts agree. Even though it's usually an unfavorable goal, it's supported by work in the field. In our research, we confirm multi-processor analysis, which embodies the structured principles of e-voting technology. We explore new real-time archetypes, which we call Shaving. The results of this case test are expected to be realized so that it can be applied in all conditions around us.
Implementation of K-Modes Clustering in Predicting Electric Power Needs in Aceh Ula, Mutammimul; Hardi, Riyadhul Fajri; Hardi, Richki
Mulia International Journal in Science and Technical Vol 1 No 1 (2018): August
Publisher : Universitas Mulia

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Abstract

The State Electricity Company is tasked with providing a stock of electricity power grouping requirements and classification of classifications for each region in the city of Aceh. The area to be grouped is based on the amount of power consisting of four sub-districts namely Banda Sakti, Blang Mangat, Muara Dua and Muara Satu, each of which comes from Gampong. The importance of clusters to separate each data between gampong data that will be entered into each sub-district. Furthermore, the K-Means Clustering Classification is used in determining the grouping of electric power needs in each region in Aceh City, where the system classifies the electricity stock requirements in each region categorized into a clustering.
A New Design Security Issues Addressing and Challenges in Mobile Cloud Computing Nirmal Kumar Gupta; Gaurav Raj
Mulia International Journal in Science and Technical Vol 1 No 1 (2018): August
Publisher : Universitas Mulia

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Abstract

The emergence of cloud computing has brought tremendous impact on software organiza-tions and software architecture design. With the development of cloud computing and mo-bile internet, mobile cloud computing is becoming a new mode of application. With the widespread development of mobile applications and advances in mobile cloud computing, some other forms of requirements and security issues have been emerged. Mobile cloud computing provides resources residing over cloud and services provided for mobile devices. These resources and services from cloud are available for mobile user over their mobile de-vices. It also provides benefits for developing specialized mobile applications for them. However, increased security and privacy risks exists due to data outsourcing and synchro-nization over the Internet. This research paper provides the review on mobile cloud compu-ting, its security issues, challenges and suggests some solutions.
New Planning System and Hybrid MRP-JIT Production Control Priyank S. Shah
Mulia International Journal in Science and Technical Vol 1 No 1 (2018): August
Publisher : Universitas Mulia

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Abstract

Over the years, the production system has been largely controlled by the MRP (Material Requirement Planning, JIT (Timely) or OPT (Optimized Production Technology) paradigm. As expected, each of these paradigms has limited conditions operational effectiveness. A hybrid production planning and scheduling framework was developed for overcoming the problem of multi-stage, inventory-production systems by integrating MRP and JIT production. The combined MRP and JIT system can be a more effective manufacturing system use the best attributes of each production paradigm to accommodate the best planning features MRP and JIT's execution features are best for overcoming changing industry needs. That the goal is to find a detailed shop floor schedule, which determines the number of operations to be performed processed, at what time, and by which machine, so as to minimize the total production costs. That Integrated production systems eliminate some of the problems inherent in MRP & JIT and focus on set the goals, actions, and tasks of the entire organization to build competitiveness manufacturing capabilities, achieving manufacturing excellence, and maintaining a reasonable level growth.

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