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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 18 Documents
 1   2 
Device to Remotely Track and Locate the Position of a Child for Safety S.M.K.C.S.B. Egodawela; H.M.D.M.B. Herath; J.V. Wijayakulasooriya; R.D.Ranaweera; Hardi, Richki
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

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Abstract

Parents are always worried about the well being of their children. As per the Statistics Report 2017 by Missing Children Europe Organization, a child is reported missing every 2 minutes. Due to the imminent threat, parents are prone to buy their children mobile phones to keep in touch with them. However, giving a Mobile phone to a child can cause issues including cyber bullying, improper use of social networks, access to mature age and illicit content on the internet and possibly, phone theft. As an effort to tackle some of those issues, this paper proposes a solution which enables parents to call, locate and track their children using a child-friendly mobile device. The common scenario the device would come to play is in enhancing the safety of a child who would travel alone on a typical route; for instance a child who walks from home to school and back. The device can be calibrated to keep track of a typical route of travel. Then, if the device detects some deviation from the usual route, it would trigger a notification to parents. A probability matrix based novel algorithm is introduced to detect route deviation. Design details of the mobile device, along with the details of the route deviation detection algorithm are presented in this paper.
A New Model of Packet tracking Using The TSP Algorithm Method Hardi, Richki; Nanna Suryana Herman; Naim Che pee
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

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Abstract

The packet tracking system becomes essential for the sender of the packet because, with this system, the sender can know the whereabouts or position of the package being sent. If there is a delay in delivery, the sender can also find out the cause of the delay, and it could be due to traffic, wrong address, natural disaster, or other problems. More than that, this system can determine the optimal route to be passed, namely by testing and moving several paths so that with all the possibilities that there will get the optimal path. The purpose of this study is to provide a model and find out the optimal way that is feasible to take in package delivery. The method applied in this research is to use the TSP algorithm, which is an algorithm that tries all possible routes to get the optimal path. The research area will be applied to the Aceh area, and also a request from one of the national shipping companies in Indonesia, Pos. This system will be built based on the web so that the results displayed can be reached by all areas that are connected to the internet. It is hoped that this model and system that will be built can become a reference and reference for other researchers.
The Development of Smart Campus System in Indonesia Hardi, Richki; Kamalrudin, Massila; Hashim, Ummi Rabah; Yana Hendriana; Gunawan; sumardi; Yustian; Sigit Sigalayan; Jack Febrian Rusdi; Agus Sasmito; Apri Junaidi; Anastasia Lidya Maukar
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

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Abstract

Dependence on technology is complicated to avoid and very difficult to separate in the digital era. It impacts the education system, especially in Indonesian higher education. Higher education institutions in Indonesia have begun to implement information and communication technology-based systems within the campus environment. Encouraged from all academic communities in higher education who expect comfort so that the importance of the role of technology. Smart Campus comes as a result of a system that uses technology and the internet as an intermediary. Smart Campus is expected to be a campus that can educate students with IT-managed methods. The smart campus is a campus that combines, combines, combines, and implements teaching and learning processes using information technology. So that all systems that support the teaching and learning process also use technology. The smart campus system can be implemented starting from the new student admission system, campus academic system, online examination system, library information system, and tuition payment system. With the smart campus, the system will reduce errors in doing work. Of course, it will also reduce the costs to be incurred by the campus.
Expert System Technology in Implementation of K-Means Clustering Algorithm in Patients with Tuberculosis at Cut Meutia Hospitals North Aceh Eva Darnila; Mutammimul Ula; Mauliza; Iwan Pahendra; Ermatita; Hardi, Richki
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

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Abstract

Technology in detecting potential drop out tuberculosis (TB) in Cut Meutia hospital and Health Office plays a great role and has been very important. This is seen from the increasing number of patients who could not be cured succesfully and who do not care about TB which will have fatal consequences on their health. In addition, the main cause of the increase in the number of potential drop out TB patients is because of the lack of awareness of the community, especially the middle economic level family of the danger of TB disease as seen from the irregular treatment that they have and the continued smoking habit. In this study, an expert system was used to diagnose patients with potential Drop Out tuberculosis who were then diagnosed into the cluster of each TB patient using the K-Means algorithm. The system implementation in the expert system is that the initial symptoms include the question of whether the patient has cough with phlegm for 2-3 weeks or more (yes), has the patient been treated with TB drugs less than 1 month (no), experienced no appetite and nausea. From the results of these symptoms, there are diagnoses of New Patients, Pulmonary BTA (-) / Ro (+), with sub-acute level having moderate severity and duration, the severity can reduce the health status of the patient, the patient is eventually expected to recover and totally recovered the disease does not develop into a chronic disease. The results of this expert system would be entered into the K-Means clustering. The test results of the k-means clustering algorithm with K = 3 (C1, C2, C3). with initial centroid values of m1: C1, 5, 5, 5, 5, 5, 5 and m_2: C2, 3, 3, 3, 3, 3, with patient p1 with the value of each cluster (C1) = 6.928, ( C2) = 2.828, C3 = (4). For the closest cluster value is C2, then the BCV (Between Cluster Variation) calculation value is 19,596, and the WCV (Within cluster Variation) value is 144. Then the ratio value is 0.136. The result of the iteration -3 can be stopped because it does not experience the movement of the clusters and the clusters have been optimal. The results of this system can classify patients for each village and sub-district area so that the Hospital officials and the Health Office can directly monitor potential drop out TB patients and can facilitate the Head of Office/region in handling clustered TB patients using K-Means. Furthermore, in the coming years, it can be used as a tool in taking preventive measures.
Implementation of Clustering K-Means Algorithm classification of the need of Electricity power for each region at PT Lhokseumawe Muhammad Sadli; Wahyu Fuadi; Fajriana; Ermatita; Iwan Pahendra; Mutammimul Ula; Hardi, Richki
Mulia International Journal in Science and Technical Vol 2 No 1 (2019): August
Publisher : Universitas Mulia

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Abstract

PLN (State Electricity Company) is in charge of providing stock of needs for the grouping of electrical power and classification for each region in Lhokseumawe City. The area that were grouped based on the amount of power consists of the four subdistricts, namely Banda Sakti, Blang Mangat, Muara Dua and Muara Satu, each of which is sourced from the village. The importance of clusters is to separate each data between data in the villages that will be input into sub-district data. Furthermore, the K-Means Clustering Classification was used in determining the grouping of electrical power needs in each region in the Lhokseumawe City where this system classify the electricity stock needs in each region categorized into a cluster. In this study, Clustering Classification of K-Means variables include job (V1), overall income (V2), house area (V3), number of rooms (V4), number of electronic equipment (V5) and total of power usage (V6). Results of grouping of C1 system = Subsidy R-1/450 VA, C2 = Subsidy R-1/900 VA, C3 = Non Subsidy R-1/900, C4 = Non Subsidy R-1/1300, C5 = Non Subsidy R- 1/2200 VA. The purpose of this study is to be able to predict the classification of each electric power requirement for each region based on the input data per district. This has an impact on the community and PLN's stock of electricity needs in order to remain stable. It is found out from the Clustering K-Means Classification that there is a new cluster for Banda Sakti. The last step in determining Clustering K- Means stopped at the the iteration 3 until the cluster is optimal. The results of this study are in the form of grouping of PLN Customers from each region displayed in the system in the form of classification of electrical power in each subdistrictdistrict. Furthermore, the grouping can be recommended to predict the power needs of each sub-district and belong to the cluster provided by the PLN.
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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