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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
Arjuna Subject : -
Articles 6,850 Documents
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Deteksi Jumlah Penghuni Pada Ruangan Berpintu Untuk Smart Home Berbasis Arduino dan Sensor PIR Lintang Cahyaning Ratri; Hurriyatul Fitriyah; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Counting people coming in and out of the desired region automatically is very important in business, management and security. This research introduces Detection system of people in the room that has doors for smart home based arduino and PIR sensors. The benefits of the system are for management and security. In this research, the purpose is focused on counting the number of people in the room that has the doors automatically, so, the owner can see the number of people in each room in his house periodically. The use of PIR sensors aims for detects human presence without disturbing the privacy of the householders. So the sensor is very suitable for home / office automation. This system uses arduino nano type and NRF24L01 type microcontroller as a wireless device. The result shows that the system has 100% accuracy in calculating people automatically by 6 times entering-exiting of the room testing. This system can overcome if the object that goes into the room is a non-human object (cat). This system can count 2 people as 2 people that can be detected from the distance between people about 3,5 meters. In data transmission test, system can send data at a distance of about 35 meters in open space (without wall barrier) and about 4 meters in room with wall barrier
Analisis Perbandingan Metode Replikasi Server untuk Kebutuhan Pemulihan Bencana (Studi Kasus Sistem Informasi Geografis Perusahaan XYZ) Ulfa Khoirul Azizah; Ismiarta Aknuranda; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

XYZ Company is one of the largest oil companies in the world, operating in more than 130 countries. To maintain its business process activities, XYZ company uses one of application called GIS Portal Mahakam. This application is installed on a conventional server in Balikpapan Base. To protect critical business processes from catastrophic failures, which can result in the loss of a company's ability to conduct business processes normally, XYZ companies undertake disaster recovery planning or DRP. In the implementation of DRP required process to replicate the GIS application server to Sepinggan Datacenter Recovery Center (DRC). There are three methods that support the replication server, namely the physical to physical, physical to virtual vmware converter, and physical to virtual baremetal restore. This study was conducted to compare selected replication methods, with the aim of obtaining the best replication methods to be applicable in the DRP process. The research data was obtained based on result of interview and observation. There are three methods of analysis performed. First, a comparison analysis of replication methods on the network side, storage, servers and operating systems, and applications. Second, the analysis of replication method using business impact analysis (BIA). Third, analysis of pros and cons on each replication method. Based on research that has been done, physical to virtual vmware converter method has maximum tolerable downtime for 1.375 days with the highest pros.
Sistem Pendukung Keputusan (SPK) Pemilihan Tanaman Pangan Pada Suatu Lahan Berdasarkan Kondisi Tanah Dengan Metode Promethee Wafina Nurul Adila; Rekyan Regasari; Heru Nurwasito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Determination of the selection of food crops in a suitable land planted based on the condition (criteria) of land is needed as a support decision-making. There are 12 criteria assessed such as temperature, rainfall, humidity, drainage, texture, soil depth, peat thickness, ph h2o, salinity, alkalinity, sulfidic depth and slope. The large number of criteria and the level of importance of different criteria make it difficult to reach a decision. Computer System using Decision (SPK) can be used as a tool to give the decision of suitable plants planted in a land easily, quickly and accurately. The Promethee method is one of the methods involved in solving Multi Criteria Decision Making (MCDM) problems. The results of ranking in this system are influenced by the choice of preference type and the determination of the threshold inserted into the Decision Support System which will be able to overcome the problem to be able to determine the suitable plant to be planted in a field. So the result of system decision giving accuracy compared with actual decision reached 89,2% by using 28 data. With high accuracy it can be said that the Promethee Method successfully meets the needs of determining the selection of plants on a land based on soil conditions.
Pemodelan Sistem Pakar untuk Identifikasi Hama Penyakit Tanaman Tebu dengan Metode Dempster-Shafer Yusuf Nurcahyo; Nurul Hidayat; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every year, the demand for sugar continues to grow as consumption of the community grows and growth in the food and beverage sector. In 2014 the consumption of white crystal sugar (GKP) reaches 2.84 million tons, while in 2015, GKP consumption reached 2.98 million tons and will continue to increase every year. But now the productivity of sugar has decreased. The decline in productivity is caused by several things, one of which is the decrease in the level of sugar content or sugar content in sugarcane stalks. In addition to high rainfall and improper harvesting methods, other sugar cane inhibiting factors are pests and diseases of sugarcane. The limited number of experts and extension agents while in the field, as well as the lack of knowledge of farmers cause problems surrounding pests and diseases of this cane can not be solved immediately. Because of the limitations of these conditions, the authors make an expert system to facilitate the farmers in order to identify diseases and pests in sugar cane plants. This system makes the process of disease identification as well as the conclusion of the diagnosis calculated using the Dempster-shafer method by using fact-insert facts from the user. This expert system makes it easy to determine the type of disease that suits the symptoms. Testing is done by comparing the diagnosis of the system with the results of expert diagnosis using 30 test data consisting of 19 cases of pests and 11 cases of disease in sugarcane.
Perbandingan Test Case Generation dengan Pendekatan Genetic Algorithm Mutation Analysis dan Sampling Christopher Dimas Satrio; Mochamad Chandra Saputra; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software testing has an important role to knowing and maintaining the quality of a software. In software testing process, test case is necessary. However, test case generation require a relatively long time, so automatic test case generation with a certain algorithm are conduct. The purpose of this research are to compare genetic algorithm mutation analysis and genetic algorithm sampling approach. That's two approach wil be implemented and analyzed the result. In terms of the final result, will be revealed the reduction of the number of test case that occurs. Number of iteration, cumulative number of individuals, number of fitness evaluation, and size of the resulting test suites will be variable comparison between that's two approach. The conclusion of this research are the genetic algorithm mutation analysis approach is better than genetic algorithm sampling approach in terms of the reduction number of test case and for all comparison variable that applied.
Pelatihan Feedforward Neural Network Menggunakan PSO untuk Prediksi Jumlah Pengangguran Terbuka di Indonesia Bayu Septyo Adi; Dian Eka Ratnawati; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Open unemployment is a problem who faced by Indonesia in every year. In Indonesia, the number of an open unemployment is still in the high level. There are many factors influence the number of open unemployment, the one of that factor is the number of employement not comparable with the number of labor force. When the number of unemployment at the high level, it can influence the other sector, especially at the economy sector. Because of the number of unemployment is high, national income getting decrease and poorness getting increase. Prediction the number of open unemployment, can be expect to help government and other agence to decreasing the number of open unemployment in Indonesian. Feedforward Neural Network is model from artificial neural network which can be implemented for prediction. Backpropagation algorithm can be replaced by Particle Swarm Optimization Algorithm (PSO) for training Feedforward Neural Network . The result in this research, average value of error which is calculated by Average Forecast Error Rate (AFER) is 2.71399%. Based on value of AFER in this reaserch, Feedforward Neural Network trained by PSO method can be using for predicting the number of open unemployment in Indonesia with better accuracy.
Clustering Mobilitas Masyarakat Berdasarkan Moda Transportasi Menggunakan Metode K-Means Humam Aziz Romdhoni; Muhammad Tanzil Furqon; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Peoples mobility is the movement of people from one place to another. Peoples mobility is a worthy topic to research. Because by knowing the mobility of society we can know the pattern of the route traversed, the chosen transportation mode, the duration of travel, and others. In this modern era, moving trajectory data of an individual can be known through GPS (Global Positioning System). GPS data obtained can be processed into useful information, such as what each mode of transportation used by each individual. To perform this data processing, we can use one method of data mining, which name is clustering. Clustering is chosen because GPS data for each mode of transport is considered to have almost the same characteristics, so the most appropriate method of information retrieval is by grouping. One of the popular clustering methods is k-means. In this research we can see that the cluster with k-means method has medium to high quality when k value close to quantity of transportation mode seen from the value of silhouette coefficient. From the results of accuracy testing, k-means method shows a good percentage that is 90%.
Analisis Perbandingan Metode Routing Spray and Wait dengan Prophet untuk Daerah Terpencil Imron Sazali; Achmad Basuki
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia's geographical conditions, some of which are inland, in which there is no reliable internet connection. Routing model selection is highly dependent on the geographical conditions of the area. Routing is a process for determining the route from source to destination in a communication scheme. It takes a Routing scheme that has tolerance for delay, mobility, and requires minimal resources. Delay Tolerant Network (DTN) technology is a data delivery mechanism that resists latency, and can carry large data packets with minimal system resources. With the DTN (Delay Tolerant Network) technology the problem is likely to be resolved. Two DTN protocols in this final project are Prophets that use knowledge and Spray and Wait with replica strategies. Both protocols are simulated in a predetermined environment using One Simulator and then analyzed based on performance measurement parameters of delivery probability, average delay and overhead ratio. From the results of research conducted, obtained data that Routing Spray and Wait has a tendency better performance in terms of Delivery Probability and Average Delay. Whereas in the case of Overhead Ratio, Routing Prophet shows a smaller value. For the environment that has characteristics as in this study Spray and Wait is better than Prophet.
Optimasi Komposisi Pakan Untuk Penggemukan Sapi Potong Menggunakan Algoritma Genetika Muhammad Noor Taufiq; Candra Dewi; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 7 (2017): Juli 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the problems that exist in Indonesia is not share of the number between the demand for beef cattle with the number of local beef cattle production. This caused by the increase in the number of people in Indonesia. It makes Indonesia have large enough dependencies to import cows from abroad to fulfill the need of Indonesian people. This study tries to implement the genetic algorithm to creating a qualified mixed ration at the reasonable cost. This study is expected to be able to increase the number of local beef cattle production to fulfill the need of Indonesian people. The representation used in this study is real code in which each chromosome initialize feed materials which used. The mutation method is the random mutation, and the selection method is elitism. The result of this study found the optimal parameter at 900 population, 800 generation and the combination of cr and mr as many as 0.9 and 0 with the highest fitness is 0,6266. The result obtained in the form of ration composition recommendation at minimal cost as daily based of the nutritional need of beef cattle
Optimasi Komposisi Pupuk Tanaman Jagung Menggunakan Algoritme Genetika Arik Khusnul Khotimah; Nurul Hidayat; Moch. Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At this time, produce of corn can not be fill the needs in this country. This caused productivity of corn decreased in a few years. The way to solve that problem is increase productivity of corn. Some of the way to increase productivity of corn is balance fertilizer. For fertilization, the main problem of farmers is the high fertilizer price mainly type N, P, and K fertilizer. Therefore, it need some data processing for measuring the composition of fertilizer with price of fertilizer for the best result. The result of data processing can be used for farmer to measure the composition of fertilizer which fit with the best price recommendation. This research used genetic algorithm. This algorithm used to optimize composition of fertilizer. The solution of this algorithm use representation chromosome real code, crossover process use one cut point, mutation process use reciprocal exchange mutation, and selection process use binary tournament selection. Based on testing, the optimal result is on size of population as much 9, 12 generation, crossover rate composition and mutation 0,7 and 0,3, 0,4 and 0,6, 0,1 and 0,9, 0 and 1 with highest fitness is 0,8403.

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