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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 60 Documents
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Search results for , issue "Vol 5 No 12 (2021): Desember 2021" : 60 Documents clear
Pengembangan Aplikasi untuk Mengukur Reusability Perangkat Lunak menggunakan Object-Oriented Metric Arkaan Nurul Iman; Tri Astoto Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Reusability is the likelihood of segments of source code in software that can be reused to add new functionality with slight or no modification. A research conducted by Mr. Pavan Devade and Prof. Pritesh Jain in 2016 describes a method to perform reusability calculations in object-oriented programming concepts. The research explains that the class which is the main component in object-oriented programming, can be calculated for its reusability value by utilizing the object-oriented software metric, namely the CK metric. The research uses the C# programming language. Unfortunately, object-oriented programming languages ​​are not only limited to C#, Java is one of them. This study aims to develop a system that applies the reusability calculation method described by Mr. Pavan Devade and Prof. Pritesh Jain using Java programming language. This research was conducted with software engineering phase consisting of requirements analysis, system design, system implementation, and system testing. Requirements analysis produces 4 functional requirements and 1 non-functional requirement. The system design produces class diagram and 4 sequence diagrams. System implemented using Javaparser and JavaFX libraries. System is tested in three stages, namely unit testing, integration testing, and validation testing. The tests gives valid results for each stage of the test.
Penerapan Metode AHP dan TOPSIS sebagai Sistem Pendukung Keputusan untuk Pemilihan Laptop Baru dan Bekas sebagai Media Penunjang Pembelajaran Masa dan Pasca Pandemi COVID-19 Mohammad Aditya Noviansyah; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

During pandemic period student requires to receive online education because of government regulations to limit activities outside home. Online learning support media such as laptops, mobile phones and computers need to be owned to run online education. These problems have resulted in the need for online learning support devices that continues to grow, including the sale of laptops. Laptops have various specifications, differences in specifications in laptops will affect the function of their use. During the pandemic, students on average use laptops for office application and attending online classes which require low specifications. In addition, laptops are also used by them for graphic design or for gamers, which requires high specifications to meet their needs. To buy a laptop according to user needs, user need an expert to get the optimal laptop recommendation according to user needs. Problems in choosing the optimal laptop according to needs can be solved with a Decision Support System (DSS), which is known as a branch of science in operations research that can be used as decision support in a mathematical model. In this research, the method of Analythical Hierarchy Process and Technique for Order Preference by Similiarity to Ideal Solution are the methods chosen for decision making. The results of the implementation of laptop selection recommendations with the AHP and TOPSIS methods obtained an accuracy of 99.85%. Changes in accuracy can be affected by the paired criteria entered and the minimum specification laptop entered by the user.
Penerapan Tata Kelola Teknologi Informasi pada PT Pelita Transfer Nusantara Berdasarkan Kerangka Kerja Cobit 2019 Desyolanda Manullang; Suprapto Suprapto; Aditya Rachmadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT Pelita Transfer Nusantara is a company engaged in Remittance (foreign currency exchange) which was founded by Crisman Wise Patuan Silaban in 2018. Transfree. To achieve its goals, PT Pelita Transfer Nusantara cooperates with many third parties and is very dependent on the available resources so that it requires good management and management of IT resources. Considering that the elements in IT resources are not only infrastructure but also human resources, good HR management and management will greatly support the company in achieving its goals optimally. It is necessary to evaluate the existing IT governance at PT Pelita Transfer Nusantara to assess the extent to which PT Pelita Transfer Nusantara manages its IT and human resources. Based on these needs, research was conducted to identify the level of capability and condition of the company's current IT resource management using the COBI 2019 framework, the APO07 (Managed Human Resource), APO08 (Managed Relationships) and BAI08 (Managed Knowledge) processes. Data collection in this study was carried out using an assessment sheet questionnaire, interviews, and observations. The respondents of this research are the Chief Product Officer and Chief Executive Officer of the company which are determined based on the RACI Chart. The Capability level achieved by PT Pelita Transfer Nusantara is currently level 2 in the APO07 and BAI08 processes, and level 1 in the APO08 process. The recommendations given focus on activities in managing minimum vacation time, staff reserve, improving human resource skills and competencies, maintaining awareness of relationship activities, and using and assessing knowledge.
Implementasi Sistem Kontrol Suhu dan Kelembaban Gudang Penyimpanan Biji Kopi menggunakan Arduino Uno dan Protokol MQTT Rahadian Sayogo; Mochammad Hannats Hanafi Ichsan; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In 2010 - 2014 the agricultural sector occupied the first position in terms of non-oil and gas exports in Indonesia, it explained that the Indonesian agricultural sector greatly supports the country's economy. One of the results of the agricultural sector is coffee plants that have been recognized by the global market as evidenced by occupying the fourth position in international coffee exports. The number and quality of Indonesian coffee caused Indonesia's coffee exports to rank fourth after Brazil, Vietnam and Thailand. Because 90% of coffee farmers in Indonesia who play a role are small-scale farmers who have agricultural areas between 1-2 hectares and coffee requires temperatures between 20 ℃ - 28 ℃ and humidity between 50% - 70% so that the flavor and quality of coffee produced is satisfying. That is why Indonesian coffee production is not optimal because it lags behind in terms of good coffee processing and technology from other countries. Therefore, to help small-scale coffee farmers in terms of increasing the quality of coffee production, a temperature and humidity control system for coffee bean storage is made using Arduino UNO and the MQTT protocol. The purpose of this system is to detect changes in the temperature and humidity of the coffee bean storage warehouse if the condition exceeds the system parameter point by automatically stabilizing it so that it does not damage the quality of the coffee.
Implementasi Algoritma Dijkstra dengan Pembobotan Link Dinamis berdasarkan Packet Loss untuk Pencarian Rute Terpendek pada Software Defined Networking Julio Firdaus Irawan; Primantara Hari Trisnawan; Aditya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SDN is a new paradigm in computer networks that separates the control plane and data plane. The concept offers better programmability of devices and more efficient network management. In the context of determining the route in the routing mechanism on the SDN network, topology discovery and routing calculations are carried out by the SDN controller only. The mechanism in determining the best route traversed by a packet from the sender to the receiver is determined by a routing algorithm. One of the existing routing algorithms is the link-state routing algorithm. One application of the existing link state routing algorithm is the Dijkstra algorithm. In Dijkstra's Algorithm the focus of this algorithm is only on the route search strategy without defining the weights used. In general, the static distance between two nodes will be weighted without considering the condition factor of the network being passed. Weights based on distance will result in the shortest route but may not be the most optimal. With the programmable SDN technology, weight optimization that considers network density can be implemented. Therefore, in this research, the implementation of Dijkstra's routing algorithm system for finding the shortest path has been carried out by paying attention to packet loss as a weight. From the test results, the results obtained that the system has been able to search for paths by considering the smallest packet loss value on the link. In throughput testing, the system has significantly superior throughput compared to static Dijkstra algorithm. Then based on packet loss testing, this system has packet loss ranging from 0 - 1% compared to Dijkstra's static algorithm which has a significant increase in packet loss when the number of clients is more than 30. In this system the convergence time value obtained is not much different from the static Dijkstra algorithm.
Optimasi Gizi Bahan Makanan pada Anak - Anak untuk Tumbuh Kembang menggunakan Algoritma Genetika (Studi Kasus : Dinas Kesehatan Kabupaten Kediri) Putri Ratna Sari; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Around 70% of parents in the Mojo district are still not familiar with foods that contain optimal nutrition for children. Nutrition that is not optimal will cause disease in children and make growth and development not perfect. In Kediri Regency itself, many children are overweight or often referred to as obese. The obesity rate in Kediri Regency reaches 80%. The problem of optimizing the nutrition of foodstuffs can be solved by an optimization algorithm, namely the Genetic Algorithm. A Genetic Algorithm is an algorithm that uses the basis of natural selection and evolution from biology and can combine sequences of structures with information in a random way. In this study, to determine the representation of the solution generated from the genetic algorithm, testing was carried out on the effect of the parameter values. Optimal parameter results, namely the generation of 1200, the value of Crossover Extended Intermediate of 0.5, the value of Reciprocal Exchange Mutation 0.9, and Popsize 60 by using the optimal parameters, the optimal category of food ingredients will be known, the price according to weight, and recommended nutrition for the patient. From the results of using optimal parameter testing, we get a package of food ingredients that match the need, differences, and price, in the test the difference in content between food ingredients and nutritional need is 6,1 % for Rp. 37.722,00 for patients with male gender and 5,4% for patients with female gender for Rp. 32.040,00.
Analisis Sentimen Opini Publik pada Media Sosial Twitter terhadap Vaksin Covid-19 menggunakan Algoritma Support Vector Machine dan Term Frequency-Inverse Document Frequency Edgar Maulana Thoriq; Dian Eka Ratnawati; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Social media is a place for people to express their aspirations, ideas, and even their critics. One of the policies made recently by the government is the provision of COVID-19 vaccine. This policy has been widely discussed on Twitter and attracted a lot of diverse opinions in the society. Twitter is a social media that has a fairly large user base in Indonesia, where many users share their opinions regarding the provision of COVID-19 vaccine. Twitter can be a source of data that can be used to conduct sentiment analysis on government policies by classifying tweets (a term for content in Twitter) into positive or negative categories. The classification process is utilizing a classification algorithm, namely Support Vector Machine and term weighting namely Term Frequency - Inverse Document Frequency (TF-IDF) method. This study uses 450 tweets, then testing is carried out using the cross validation method with number of fold = 10. Best performance of the classification algorithm is 86% accuracy, 88% precision, 82% recall, and 85% f-measure. Value of the performance is obtained with value C of 1 and the maximum iteration of 300.
Analisis Metode Fuzzy C-Means dengan Model LRFM terhadap Segmentasi Pelanggan pada Toko Butik (Studi Kasus: Diva Collection Kota Cilegon) Adityo Dwirahmawan; Nanang Yudi Setiawan; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diva Collection boutique shop is a boutique store that sells various types of women's clothing that was established in 2019 in Cilegon City. The store still has not implemented a Customer Relationship Management strategy by providing different services to each customer, so that the boutique treats each customer the same. Therefore, customer segmentation is needed to find out how the nature or characteristics of customers with certain similarities are. This is useful for finding information about profitable customers. Observed customer behavior is from the LRFM process. Length (difference between the last transaction and the beginning), Recency (difference between purchase dan research), Frequency (the amount of purchase), and Monetary (total consumer spending). The clustering method used is C-Means to segment customers. The results of the K-Means and Silhoutte graphs are used to determine the optimal number of clusters before clustering. The data used is data for the period August 2019 to December 2019 as many as 560 customer transaction data. the number of groups produced is 2 segments and 3 segments. Group 2 is the most optimal group, this is based on a ranking based on the highest F, M, L values and the lowest R. The Dashboard visualization of the grouping results is described in the form of diagrams and graphs. There are 3 pages that display information on the results of grouping and are given to the Diva Collection Boutique Store for testing. The average result obtained from 3 respondents is 72.5. This value is classified as good, where the Diva Collection Boutique can receive the results of the Dashboard visualization..
Algoritma Fuzzy Inference System sebagai Mitigasi Broadcast Storm pada Protokol Ad-Hoc On Demand Distance Vector (AODV) Selma Aulia Sekarrizky; Reza Andria Siregar; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile Ad-hoc Network (MANET) is a network without constantly infrastructure. MANET has a system that can manage itself from mobile nodes. Every nodes will find a routes sent from source nodes to destination nodes, this progress called routing. There are 3 category of routing protocols i.e. proactive protokol, reactive protocol and hybrid protocol. Ad-hoc On-Demand Distance Vector (AODV) is one of the example of reactive protokol. A routes will be formed if a nodes request for a transmission which is sent a route request packet (RREQ) from source nodes to destination nodes. if RREQ packets doesn't received by destination nodes or neighbors nodes, the source nodes will rebroadcast the RREQ packets until the destination nodes receive it and sent the route reply packets back with the same path. If it happens a lot, then flooding packets will occur. If flooding packets happens in a network, then congestion might happen and it called broadcast storm. Broadcast storm will impact redudancy packets, contention and collision. Fuzzy Inference System (FIS) is good for decision making case. So it can be a solution to mitigate broadcast storm. FIS will be used as Hello Interval specifier with network size and mobility as classification parameter. This research use nodes speed 0-10m/s and 0-5m/s as simulation parameters. The result is AODV with FIS and speed 10m/s has better result. AODV with FIS has lower routing overhead than original AODV for all nodes. AODV with FIS with speed 0-10m/s has 1% lower on nodes 150 and 200 which is in high category than original AODV. AODV with FIS with speed 0-10m/s has 12% and 8% higher on nodes 25 and 200 which is in low and high category.
Pengembangan Website E-Commerce dengan Pemanfaatan Sistem Payment Gateway Midtrans (Studi Kasus: Butik Rizza Collection) Chairunisa Dwinanda Asti; Widhy Hayuhardhika Nugraha Putra; Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Rizza Collection boutique is one of the boutiques in the city of Malang that provides a variety of Muslim products with many variations and contemporary models. In addition, this boutique also opens production to order clothing on request according to customer wishes. However, until now, the request for clothing is still ordered by visiting the boutique directly. In promoting products and online transactions, it is done through social media, so that payments are made manually. The payment and ordering mechanism for the clothing request has not been effective. To further facilitate transaction activities at the Rizza Collection Boutique, an e-commerce website that is integrated with the Midtrans payment gateway has been developed. Customers will find it easier to make payments without having to confirm to the admin, as well as make it easier to order clothing requests without having to come directly to the boutique. In doing development, analysis and design are needed to determine functional and non-functional requirements on the system, namely using UML diagrams and database design using Physical Data Model (PDM). The development of this system is carried out using the waterfall model, CodeIgniter DBMS MySQL framework. Testing is carried out using the blackbox testing method to get 100% valid results, which means the system can run according to the specified requirements analysis, compatibility testing obtains that the system is compatible so that it can be run on various types of browsers, User Acceptance Testing (UAT) gets the final result with a percentage value of 91.77%, it can be concluded that the system developed can be accepted by the user with the results strongly agree.

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