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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.
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Articles 50 Documents
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Search results for , issue "Vol 1 No 12 (2017): Desember 2017" : 50 Documents clear
Analisis Perbandingan Algoritma Floyd-Warshall dan Dijkstra untuk Menentukan Jalur Terpendek Pada Jaringan Openflow Ibrahim Attamimi; Widhi Yahya; Mochammad Hannats Hanafi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software Defined Network (SDN) is network modeling that separates between control plane and data plane using Openflow protocol communication standard to connect both of them. SDN began to developed in recent years and has been widely implemented, one of them is network routing. There are two routing algorithms in this research which are Dijkstra and Floyd-Warshall. Both of these algorithms will be implemented using Mininet emulator and Ryu controller. Tests that performed in this research include parameters such convergence time, throughput, link failure, and resource usage. The result of convergence time test from this research showed Dijkstra's is superior to average of about 9,08-16,03milliseconds compared with the Floyd-Warshall with average of about 14,51-38,63milliseconds. Based on the results of throughput testing, both algorithms do not have significant differences. The Floyd-Warshall had an average throughput of 12.7-29.54Gbps while Dijkstra's had an average of about 12.89-29.22Gbps. For the test results from the Link failure, Floyd-Warshall is superior because it had a faster recovery time with average about 30.34-38.51seconds compared to Dijkstra's with average of 37.65-44.92seconds. Usage resource test showed that memory usage measurements for both algorithms share same memory, but CPU usage measurements showed the Floyd-Warshall consumes more CPU power compared to Dijkstra's.
Rekonstruksi 3 Dimensi dari Video menggunakan Metode Structure-From-Motion (Studi Kasus: Wilayah Pertambangan Batubara) Rimba Anditya Kurniawan; Fatwa Ramdani; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is a country that have a massive natural resources for producing coal. With total 466.307.241 ton in 2012, Indonesia archive third place world level as the most producer coal. For manage coal mining sites, management process very needed. The mine management process can be done with 3-dimensional point clouds reconstruction using the Structure-of-Motion Method (SfM). To build structure from overlapping of many images by using photogrammetry techniques use SfM algorithm. When acquisition image data, sometimes get a failure of automatic camera trigger and lack of density between images. This study uses video data from UAVs flown over mining areas to record all mining activities. Video data predicted can reduce errors during image capture and increase the overlap value between successive images and increase the number of cloud points. The output on the software is tested using the Simple Regression method. This study shows that input video data with 1 minute duration and 90% overlap value can produce 2910 point cloud. The Simple Regression test result an F value of 12,408. It shows that the greater value of overlap, can produce a lot number of points cloud.
Analisis Sentimen Terhadap Tayangan Televisi Berdasarkan Opini Masyarakat pada Media Sosial Twitter menggunakan Metode K-Nearest Neighbor dan Pembobotan Jumlah Retweet Winda Estu Nurjanah; Rizal Setya Perdana; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Twitter is a social media that attracts many internet users as a media for communication and getting information. The information covered on Twitter in the form of questions, opinions or comments, whether it is positive or negative. Sentiment analysis is a part of research from Text Mining that conducted the classification process on text documents. K-Nearest Neighbor was used as method of this research, by adding the quality of retweet (non-textual). The result of textual quality of the K-Nearest Neighbor classification and the non-textual quality from the sum of retweets would be combined using certain constants (α and β) to generate positive and negative sentiments. The data was used in the form of public opinion on the television show on twitter showed 400. From the test results of accuracy using non-textual quality obtained 82.50%, using 60% non-textual quality, and use the combination of both was 83.33% with the score k=3 and the exact multiplication constant α=0,8 and β=0.2.
Optimasi Kebutuhan Gizi untuk Balita Menggunakan Hybrid Algoritma Genetika dan Simulated Annealing Fitri Anggarsari; Wayan Firdaus Mahmudy; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The nutritional state of a person is basically influenced by dietary behavior so that the quantity and quality of the food and beverages consumed has an impact on a person health. Balanced nutrition plays an important role in the growth, physical development, and intelligence of all people, including toddlers, children, and adults. Nutrition in toddlers should be considered because at that time they growth and develope so rapid and prone to occur bad things such as infections that can cause chronic illness, obesity and even death. In this research, we implement hybrid genetic algorithm and simulated annealing to know optimize nutrition requirement on food composition for toddlers. There are two segments of the chromosomal representation that is used in this research, the first segment uses the integer number and the second segment uses the real code number. We use extended intermediate crossover method and random mutation method for the reproduction process. The test resulted in the highest average fitness value of 0.10106 with the best parameters are population = 100, generations = 50, combination between Cr and Mr = 0.8 and 0.3, value of alpha = 0.8, value of T0 = 2 and value of Tn = 0.2. The results of this study is recommendations of foodstuffs according to the nutritional needs that approached the actual needs of the toddlers by considering the weight of food and the minimum price in one day.
Pengembangan Sistem Informasi E-Complaint (Studi Kasus GraPARI Telkomsel Malang) Muhammad Adnan; Retno Indah Rokhmawati; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the goals GraPARI Telkomsel Malang is to provide services in handling customer complaints. Acceptance of complaints can be done in several ways, including through My GraPARI machine, call center and come directly to GraPARI office. Acceptance of customer complaints through My GraPARI machine or through the call center is considered not meet the needs, given the limited number of My GraPARI machines available only one unit in the city of Malang. As for the handling of complaints that require further handling, call center is considered not able to handle maximally because every process of handling must be informed directly to the customer. So to answer the above problems, can be given a solution of information system development as one form of application of the concept of Customer Relationship Management (CRM) Operational intended to receive complaints from customers. The method used in system development is using waterfall model which includes several stages of development, including: needs analysis, design, implementation and testing. System testing is done with several types of testing, including: black-box, compatibility, web service testing and system evaluation using the utility system approach. From the overall test results can be concluded that the features on the system has been running with a valid and can run on several type of browsers that have been tested.
Analisis Faktor-Faktor yang Memengaruhi Seseorang untuk Menggunakan Website LAZADA dengan Menggunakan Structured Equation Modeling (SEM) Enrico Dimas Darmawan; Ari Kusyanti; Niken Hendrakusma Wardani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

E-Commerce is a type of electronic business mechanism that focuses on individual-based business transactions using the Internet as a medium of exchange of goods (Hartman, 2000). In 2016, Lazada experiencing conceded many accounts are done by people who are not responsible. The burglary victim utilize credit card to make a transaction, not just the actors also change the username and password. In the present study, the researchers conducted a test by Structural Equation Modeling (SEM) to determine the factors of what makes people to use Lazada. By combining several models of Internet Users' Information Privacy Concerns (IUIPC), User Acceptance Of Information Technology (UTAUT) as well as the added safety and confidence into this study. Constructs build the model in this study include: expectations capabilities, business expectations, the influence of social environment, facilities, risk, security and trust. Sample collection of data by using a questionnaire and analyzed by using Structural Equation Modeling (SEM). Results of the study showed that users are aware of the privacy of personal information that they provide to LAZADA. The most affected users to use Lazada factor is the trust of users towards LAZADA.
Sistem Pendukung Keputusan Pemilihan Personel Homeband Universitas Brawijaya Menggunakan Metode Profile Matching Aditya Sudarmadi; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Brawijaya Homeband University is a part of Students Unit Activities which has 2 years of regulation. In maintaining its existence, a selection is held in every 2 years. One of the problems was faced in previous selection was unclear scoring mechanism. This problem made the duration in selecting the member of the homeband longer. Moreover, the selection result was subjective. This manual mechanism is not an efficient meachanism, moreover when the participants are more than before. Research of Decission Suport System for Members Homeband Brawijaya University selection was using profile match technique. The positions which were wanted were male Vocalist, female vocalist, guitarist, bassist, keyboardist and drummer. Every position has 6 scoring factors which consist of 4 core factors and 2 secondary factors. The result of this research shows the accuracy system was 83.8%, 5 of 6 members selected by the system are the members who also selected by the judges. Therefore, it can be concluded the result of this research can be used for assisting the Homeband of Brawijaya University member's selection.
Implementasi Metode Profile Matching untuk Seleksi Penerimaan Anggota Asisten Praktikum (Studi Kasus : Laboratorium Pembelajaran Kelompok Praktikum Basis Data FILKOM) Fran's Dwi Saputra Atmanagara; Rekyan Regasari Mardi Putri; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Practicum is a learning method that is attempted to learners to better understand about the related learning materials. With practicum activities are expected learners can be more exploration about the material being studied. One of the factors so that learners can follow practicum activities well is with the guidance of a practicum assistant who has human resources (HR) quality. The selection process at the time of admission of a practicum assistant member is needed to find qualified human resources assistant assistant. The acceptance of a practicum assistant member is not expected to be subjective so that the quality of the assistant laboratory assistant obtained can be in line with expectations, so that no one will be harmed and more easily perform the task as a member of the practicum assistant. Profile Matching is one of the most suitable decision-making methods for selecting membership acceptance according to the required criteria. Profile Matching is a decision-making mechanism by assuming that there is an ideal predictor variable level that must be owned by an individual, not a minimum level that must be met or skipped. The result of system accuracy calculation by implementation Profile Matching method shows an accuracy of 86.6% in the recruitment stages of new members and 83.3% in the division placement stages. The performance of a designed system can be used to make a member accept decision with output in the form of ranking based on the highest end value to the lowest final value.
Analisis Sentimen Tentang Opini Pilkada DKI 2017 Pada Dokumen Twitter Berbahasa Indonesia Menggunakan Naive Bayes dan Pembobotan Emoji Agnes Rossi Trisna Lestari; Rizal Setya Perdana; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sentiment analysis is a part of text mining, the main focus is to analysis text documents. Sometimes text documents contain non-textual elements, e.g. emojis. Emoji is an Unicode graphic Symbol representation using pictures to express a person's feelings. The algorithm used in this research is Naive Bayes with renewal in addition of non-textual weighting (emoticon). The results of normalised textual and non-textual weightings with Min-Max method will be combined with certain constant values that resulting in both positive and negative sentiments. Data taken from Twitter about 2017 DKI Jakarta elections as much as 900 data tweet. From the accuracy test results, 68,52% were obtained for textual weighting conditions, 74,81% for non-actual weighting, and 73,57% for merging conditions 0,5 for textual and 0,5 for non-textual. From the result of the examination non-textual weighting effect, can be conclude that the non-textual weighting had an effect on the accuracy and classification, with the best multiplier constants when α = 0,4 and β = 0,6 to α = 0,1 and β = 0,9.
Implementasi Metode Dempster Shafer Dalam Diagnosis Penyakit Pada Tanaman Jeruk Salam Maulana; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Citrus Plants is one of the national commodities that has an imporant role in increasing the country's foreign exchange. According to the data from Badan Litbang Pertanian Indonesia (2015), the increase imports of citrus by 11% anually in a span of a decade, makes Indonesia become a promising International markets. It should encourage farmers, especially citrus farmers to innovate in order to compete with imported goods. Many people are trying to cultivate citrus crops. However, it is not balanced with the knowledge of how to deal with crops diseasaes. There are many problems regarding citrus plants faced by farmers, one of which is pest problem that needs special attention, for it affects the production and cause diseases. In this research, the system was developed using Dempster-Shafer method as disease detector. The data were collected using interview related to theory. The results of this research is a plant disease-diagnostic system utilizing Demspter-Shafer method that detect simptom, cause, and solution; and it is based on theory of the experts. Based on the tests that had been done, it was found that the acuracy reached 90% that indicates the system was functioning properly using Dempster-shafer.

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