Rahmat Budiarto
College of Computer Science and Information Technology, Albaha University, Saudi Arabia

Published : 12 Documents
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An Investigation Study on Optimizing Enterprise Resource Planning (ERP) Implementation in Emerging Public University: Al Baha University Case Study Shakkah, Moh’D Suliman; Alaqeel, Khaled; Alfageeh, Ali; Budiarto, Rahmat
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 4: August 2016
Publisher : Institute of Advanced Engineering and Science

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Abstract

This project investigates the correlation between the organizational readiness in Albaha University (ABU) and the respective Critical Success Factors (CSFs) with regards to the Enterprise Resource Planning (ERP) implementation. The investigation also considers some suggestions to improve the ABU?s ERP systems and roadmap towards the self ?development strategy and reduce vendor-dependency. A survey regarding ERP to the end-user, expert and developer in ABU was conducted. The analysis of the results in this work confirmed with the results of an existing work. The four significance success factors: Project Management, Business Process Re-engineering (BPR), System Integration, and Training and Education are recommended to be adopted to assure the smooth adoption of ERP at Albaha University
Random forest age estimation model based on length of left hand bone for Asian population Darmawan, Mohd Faaizie; Zainal Abidin, Ahmad Firdaus; Kasim, Shahreen; Sutikno, Tole; Budiarto, Rahmat
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020 (PART I)
Publisher : Institute of Advanced Engineering and Science

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Abstract

In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability as the qualitative set of data is being used which results the estimation of age to rely on forensic experts. This study proposes an age estimation model by using length of bone in left hand of Asian subjects range from newborn up to 18-year-old. One soft computing model, which is Random Forest (RF) is used to develop the estimation model and the results are compared with Artificial Neural Network (ANN) and Support Vector Machine (SVM), developed in the previous case studies. The performance measurement used in this study and the previous case study are R-square and Mean Square Error (MSE) value. Based on the results produced, the RF model shows comparable results with the ANN and SVM model. For male subjects, the performance of the RF model is better than ANN, however less ideal than SVM model. As for female subjects, the RF model overperfoms both ANN and SVM model. Overall, the RF model is the most suitable model in estimating age for female subjects compared to ANN and SVM model, however for male subjects, RF model is the second best model compared to the both models. Yet, the application of this model is restricted only to experimental purpose or forensic practice.
Optimal Cluster Head selection in Wireless Sensor Networks using Integer Linear Programming techniques Eskandari, Zahra; Hosseini Seno, Seyed Amin; Shenify, Muhamed; Budiarto, Rahmat
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 3, No 3 (2014)
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless sensor network (WSN) consists of sensor nodes which are deployed in the environment densely and randomly. The main constraint of these nodes is limited energy resources, so, the operations which are performed in the network, must be energy efficient. For this reason, routing and data transmission in these networks perform hierarchically and in multi hop manner. One of these hierarchical architectures which have a considerable positive effect on energy consumption is clustering algorithm. But what is important is that the cluster heads election should be done efficiently. Recently some works have focused on optimal cluster head election using Integer Linear Programming techniques. In this paper, Integer Linear Programming techniques are used to formulate the clustering problem.  At first, by using Integer Linear Programming techniques, a scalable and multi objective model for optimal cluster head selection is presented and then the distributed clustering algorithm is proposed. As shown in simulation results, the proposed clustering algorithm is more efficient in terms of energy vs. LEACH algorithm.
SeamSAR: Seamless, Secure And Robust Handover Model for Mobile IPTV Network Using Enhanced FMIPv6 Aldmour, Ismat; Al-Dala’in, Thair; Siregar, Lelyzar; Budiarto, Rahmat
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Multimedia becomes one of the most wanted content in the modern Internet world. Since the Mobile Internet Protocol version 6 (MIPv6) was proposed, many researchers have tried to develop a new protocol based on this technology in order to improve the performance of mobile multimedia services. The world is emerging toward the Mobile Internet Protocol Television (MIPTV) era where people are enabled to watch television while roaming. The MIPTV technology requires high bandwidth and low latency handover. This paper proposes a new model of secure and robust handover with low handover latency, called SeamSAR. The model introduces a new way to perform home binding update and correspondent binding update simultaneously. Simulation results show that the proposed model reduced the handover latency to 63% compared to FMIPv6. Moreover, the secureness of the proposed model was verified using CMurphi simulator.
Production, Post-Harvest and Marketing of Kaffir Lime (Citrus hystrix DC) In Tulungagung, Indonesia Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efendi, Darda; Agusta, Andria
Journal of Tropical Crop Science Vol 6 No 02 (2019): Journal of Tropical Crop Science
Publisher : Journal of Tropical Crop Science

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Abstract

Kaffir lime (Citrus hystrix DC) is one of the Citrus species that is popular as food spices in Indonesia. This study was aimed at describing the production system, post-harvest handling, marketing and evaluating the product variation of kaffir lime cultivated in the Tulungagung district, East Java Province, Indonesia. Data was collected through a survey by interviewing kaffir lime farmers, distributors and customers in June 2018. Kaffir lime is cultivated by local farmers using traditional and conventional agriculture practices. The farmer used good quality seedlings as planting materials and applies animal manure or compost to the trees. Kaffir lime is grown on rain-fed land; fertilizers and pesticides are applied sparingly. The kaffir lime leaves could be harvested twice a year in different seasons. Better leaf quality can be obtained during the rainy seasons. The leaf production per tree is estimated at about 100 gram per plant per season. Post-harvest handling involved sorting, packing and marketing without any cooling treatment. The standard gate price of kaffir lime leaf in June 2019 was IDR 6,000-7,000, IDR 9,000-10,000 at the collector level, IDR 11,000-12,000 at wholesaler, and IDR 14,000-16,000 at small retailers. Leaves were distributed to traditional market in Tulungagung, neighbouring districts such as Kediri, Trenggalek and Blitar, and also to capital cities such Jakarta. The main product of kaffir lime is the fresh leaf for food seasoning and as a raw material to produce essential oil and dry leaf powder. The stems have been used for fuel in home industries. The fruits of kaffir lime are rarely found in the market and have great potentials for essential oil production and recently, a promising commodity for export.
The Potentials of Limau (Citrus amblycarpa Hassk. Ochse) as A Functional Food and Ornamental Mini Tree Based on Metabolomic and Morphological Approaches Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efendi, Darda
Journal of Tropical Crop Science Vol 4 No 2 (2017): Journal of Tropical Crop Science
Publisher : Journal of Tropical Crop Science

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Abstract

Limau (Citrus amblycarpa (Hassk.) Ochse) is one of the native Citrus species of West Java that is grown in the local backyard, thus is easily found in local cuisines. Limau has great potentials for use as a potted plant in home gardens for its aesthetic value and fragrance. The objective of this research was to describe the metabolites fingerprint and morphology of Limau as a potential functional and ornamental mini tree. Methanol leaf extracts from one-year-old Limau originated from Bogor were analyzed using untargeted Gas Chromatography Mass Spectrometry (GCMS). Methanol leaf extract was dominated by vitamin E and composed of other 18 metabolites including phytosterols, fatty acids and terpenes. The major portion of fruit extract consisted of 6-octadecenoic acid, palmitate and various fragrance compounds such as alpha sinensal, alpha limonene, beta citronellal, citronellol, and sabinene. Limau fruits are also a functional food due to its rich antioxidant and aromatic content in the fruits. The morphology of limau tree is suitable as a potted ornamentals or mini-fruits tree for its small crown, sparse branching with unifoliate aromatic leaves and small spines, and plentiful aromatics mini fruits with the diameter of around 2-4 cm.  
Network-on-Chip Paradigm for System-on-Chip Communication Budiarto, Rahmat; Siregar, Lelyzar; Stiawan, Deris
Computer Engineering and Applications Journal Vol 6 No 1 (2017)
Publisher : Universitas Sriwijaya

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Abstract

Developments of modern technologies in electronics, such as communication, Internet, pervasive and ubiquitous computing and ambient intelligence have figured largely our life. In our day micro-electronic products inspire the ways of learning, communication and entertainment. These products such as laptop computer, mobile phones, and personal handheld sets are becoming faster, lighter in weight, smaller in size, larger in capacity, lower in power consumptions, cheaper and functionally enhanced. This trend will persistently continue. Following this trend, we could integrate more and more complex applications and even systems onto a single chip. The System-on-Chip (SoC) technologies, where complex applications are integrated onto single ULSI chips became key driving force for the developments.
A Review of Root Pruning to Regulate Citrus Growth Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efendi, Darda
Journal of Tropical Crop Science Vol 6 No 01 (2019): Journal of Tropical Crop Science
Publisher : Journal of Tropical Crop Science

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Abstract

Root is the important plant organ hiding below the soil that serves as plant supporting structure, water and nutrient supplier and assimilates storage. Root growth occurs in turn with shoot part, forming repeated cyclic pattern because of the photosynthate competition. Root growth regulation is one of the promising practices to boost the yield of fruit tree, especially citrus that is economically important and highly demanded fruit. Root pruning varied based on the scale of intensity and plant growth stage, including air root pruning, knife root pruning and modern pruning using root pruner machine mounted to a tractor. Root pruning to induce the growth of more fi brous root system and to correct root deformation at seedling stage have potentials to improve post-transplant growth. Besides, it has a potential to replace the use of chemical plant growth regulator for a more environmentally friendly practice. The pruning of root impeded the canopy growth, altered the plant water status leading to fl ower promotion. In addition, it is also a promising practice to overcome the alternate bearing on fruit tree, including citrus, through the suppressing of excessive growth and restricting the high fruit load during the ‘on year’ and allowing a better carbohydrate storage for the improvement of yield during the ‘off year’.
Cloud-Based Retrieval Information System Using Concept for Multi-Format Data Alghamdi, Ibrahim; Ali F. Alshehri, Dhafer; Alghamdi, Abdullah; Kerim, Bedine; Budiarto, Rahmat
Computer Engineering and Applications Journal Vol 5 No 1 (2016)
Publisher : Universitas Sriwijaya

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Abstract

The need of effective and efficient method to retrieving non-Web-enabled and Web-enabled information entities is essential, due to the fact of inaccuracy of the existing search engines that still use traditional term-based indexing for text documents and annotation text for images, audio and video files. Previous works showed that incorporating the knowledge in the form of concepts into an information retrieval system may increase the effectiveness of the retrieving method. Unfortunately, most of the works that implemented the concept-based information retrieval system still focused on one information format. This paper proposes a multi-format (text, image, video and, audio) concept-based information retrieval method for Cloud environment. The proposed method is implemented in a laboratory-scale heterogeneous cloud environment using Eucalyptus middleware.  755 multi-format information is experimented and the performance of the proposed method is measured.
Optimal Cluster Head selection in Wireless Sensor Networks using Integer Linear Programming Techniques Eskandari, Zahra; Hosseini Seno, Seyed Amin; Shenify, Muhamed; Budiarto, Rahmat
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 3, No 3 (2014)
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (900.175 KB)

Abstract

Wireless sensor network (WSN) consists of sensor nodes which are deployed in the environment densely and randomly. The main constraint of these nodes is limited energy resources, so, the operations which are performed in the network, must be energy efficient. For this reason, routing and data transmission in these networks perform hierarchically and in multi hop manner. One of these hierarchical architectures which have a considerable positive effect on energy consumption is clustering algorithm. But what is important is that the cluster heads election should be done efficiently. Recently some works have focused on optimal cluster head election using Integer Linear Programming techniques. In this paper, Integer Linear Programming techniques are used to formulate the clustering problem.  At first, by using Integer Linear Programming techniques, a scalable and multi objective model for optimal cluster head selection is presented and then the distributed clustering algorithm is proposed. As shown in simulation results, the proposed clustering algorithm is more efficient in terms of energy vs. LEACH algorithm.