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Jurnal Infra
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
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Articles 33 Documents
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Search results for , issue "Vol 9, No 1 (2021)" : 33 Documents clear
Aplikasi Warehouse Inventory Picking Order pada PT. XYZ Menggunakan Symbiotic Organism Search Algorithm Adelyn Thungriallu; Andreas Handojo; Tanti Octavia
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Warehouse Inventory Picking Order is the process of taking or placing goods in the warehouse according to the demand list. This is an important process in a company, for example PT. XYZ, because it involves operational costs and can affect the customer satisfaction. Efficiency is needed, especially in the speed and accuracy of picking up or placing products in the warehouse. If the picking order process is efficient, the operational costs and  time required will be more efficient too.Unfortunately, this process is often done manually and becomes inefficient due to long and repetitive processes. To answer this problem, a web-based application was designed to determine the route for picking and placing products to minimize the travel distance by using the Discrete Symbiotic Organism Search Algorithm (SOS Algorithm) for discrete data. The final result is that the routing problem can be solved using SOS Algorithm for discrete data with an average distance reduction rate of 38.49% for 25 data.
Sistem Pakar Diagnosa Kerusakan Pada Gitar Menggunakan Metode Forward Chaining dan Certainty Factor Billy Gracia; Djoni Haryadi Setiabudi; Justinus Andjarwirawan
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

The guitar is a musical instrument that is in demand by many parties, from beginner to professional musicians. But any musical instrument including the guitar will not be free from damage. There are still many musicians who are confused about the damage they have suffered and do not know what to do with the symptoms they are experiencing. Similar research has been made, namely the application for diagnosing damage to guitars, some using the forward chaining method, some using backward chaining, or dempster-shafers, but in similar studies there is no percentage or level of confidence that can convince users of the diagnostic results, and the user cannot choose how sure to experience the symptoms that occur. Therefore, an expert system is needed to diagnose guitar damage by selecting the symptoms experienced according to the level of confidence, which can detect the damage that occurs and the percentage level of system confidence in the results of the diagnosis to convince the user of the results of the diagnosis..The expert system in diagnosing guitar damage is equipped with Forward Chaining and Certainty Factor methods. The usefulness of Forward Chaining in this diagnostic system is to collect facts or symptoms towards a conclusion, so that users do not need to answer all the questions. By selecting the existing symptoms, a conclusion will be drawn, namely damage. And the use of Certainty Factor in this system is to display the level of system confidence in the results of the diagnosis in the form of a percentage. So that it can convince the user of the diagnostic results.The results of the tests carried out, of the 20 trials by experts, 18 of them have conformity with the results of expert opinion. There are 2 unsuitable trials because the percentage of CF between the probability of damage 1 and 2 is the same, so there is a special case where if the CF percentage of the probability of damage 1 and 2 are the same, then the user can see the solution to the second damage in the Damage Encyclopedia. From the tests carried out, the Expert System with the Forward Chaining and Certainty Factor methods can detect damage to the guitar with an accuracy level of matching the results of the system with expert opinion of 90%.
Perbandingan Analisis Faktor Penentu Penjualan PT. X Menggunakan LASSO Regression dan Gradient Boosted Regression Tree Jessica Athalia; Henry Novianus Palit; Silvia Rostianingsih
Jurnal Infra Vol 9, No 1 (2021)
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Information becomes a crucial asset for an organization. However, employees of PT. X are facing difficulty in analyzing data because it has to be processed one by one. Moreover, analyzing data in an operational database is not recommended as it can interfere with the performance of the operational database. Then, when the Board of Directors want to know the reason behind its sales’ performance, they conclude it based on their mere assumption. This research implemented a data warehouse with the help of ETL tools. Then, sales transactions of PT. X were analyzed to get information about factors that affect company’s revenue. Factor models were formed for brands which sales were not good enough these past few years. Factors which are examined are sales price, stock availability, on time delivery of goods, quantity of returns, month of transaction, and cost price. The analysis was carried with two methods, LASSO regression and Gradient Boosted Regression Tree. These models were measured by Root Mean Squared Error, R-squared, and Variance Inflation Factor to know which model performs better. Result of the research shows LASSO regression and Gradient Boosted Regression Tree succeed in performing feature selection for sales transactions of PT. X. Yet, the factor model from Gradient Boosted Regression Tree gives a better result than LASSO regression. Last, a program was made for the company in the need of future analysis using Gradient Boosted Regression Tree.
Pengembangan Chrome Extension untuk Mengidentifikasi Phishing Website berdasarkan URL dengan Algoritma Random Forest Kevin Benedict; Agustinus Noertjahyana; Endang Setyati
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

The ever developing technology makes internet one of the most important part in human’s daily activity. This development is also followed by the increase of phishing activity which is not only in quantity, but also in the variety of techniques. The loss caused by phishing attacks is quite big. There are a lot of applications for preventing phishing attacks, but most of them are still not accurate enough. Several studies show that ensemble learning algorithm has a good capability in detecting phishing website.In this research a chrome extension which uses a Random Forest model to detect phishing websites has been developed. Random Forest is one of the most well-known ensemble learning algorithm. The most important hyperparameters which would be experimented with are n_estimators, min_samples_leaf, min_samples_split, max_features, and max_depth. Features used are Lexical features which are based on references from other researches, and Domain-based features which are the newly proposed ones, comprised of Global Page Rank, Average Daily Time, Sites Linking In, Domain Age, and Registration Period. All features are obtained only from the URL.This research shows that dataset quality is the most impacting factor in making a good model. Hyperparameter tuning is also an important part but is only limited to certain scenario. The newly proposed features could make an improvement to the model’s performance. From several experiments, the usage of Lexical and Domain-based features has successfully achieved the best accuracy of 98.28%.
Kombinasi Metode Partial Rank Correlation dan Flow Correlation Coefficient untuk Membedakan DDoS dengan Flash Crowds Calvin Kamtoso; Agustinus Noertjahyana; Rolly Intan
Jurnal Infra Vol 9, No 1 (2021)
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With the growing of internet user, causing DDoS attacks to also become more sophisticated. This of course causing DDoS detection became a challenge itself. On the other hand, there is flash crowds which is a traffic generated from a huge amount of valid user. While DDoS attack is becoming more sophisticated, it causes discrimination a DDoS attacks from flash crowds become more challenging.This research will be conducted by combining two methods of partial rank correlation and flow correlation. Partial rank correlation itself can be used to detect low-rate and high-rate DDoS attacks. Meanwhile flow correlation coefficient can be used to discriminate DDoS from flash crowds, albeit it is lacking the capability to detect low-rate DDoS attacks.With the test carried, it can be acknowledged whether combining two methods could produce a program that could detect DDoS, flash crowds, or not. Then whether by combining the two methods could increase the accuracy of detection rate and false positive alarm rate of said program than when each method is run independently.
Penerapan Probabilistic FSM pada AI musuh dalam game ARPG untuk gerakan AI tidak monoton Nicolas Wiyendi; Djoni Haryadi Setiabudi; Hans Juwiantho
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Game is really popular and becoming one of human aspects of life from child, Along with times the needs of game AI that’s not monotone has become more and more real, The problem that made a game monotone is the AI repeating its movement, with that the AI that doesn’t repeat its movement is made, this AI will make players not bored because of spam movement also motivated to play the game. Previous research has been made but with different genre and different random technic.Game will be developed with Probabilistic finite state machine methods combine with random shuffle bag. Probability will be used for showing the animation so it will make the animation that’s come out more than one, and random shuffle bag will be used for the decision making for the movement so its evenly divided and not repeated.Result of the testing shows that AI is not repeating the movement but it can repeat the pattern of the movement, Problem with repeating pattern can be solve with probability on animation that’s come out so with the same pattern movement player can see different movement.
Penerapan Metode Resource Loaded Scheduling Untuk Aplikasi Manajemen Proyek Pada Perusahaan Kontraktor “X” David Filigon Lie; Alexander Setiawan; Lily Puspa Dewi
Jurnal Infra Vol 9, No 1 (2021)
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Currently PT. Liberty Persada Sakti still uses CPM method when making schedule, because CPM does not factor in resources the result is not that accurate for estimating time period of a project. And all records of transactions done and calculation of RAB still done manually in papers and microsoft excel, that causes the company became susceptible for mistake made in calculating finance.Looking at the background of the problem, an appliaction is designed to help PT. Liberty Persada Sakti. The application will use Resouce Loaded Scheduling method for making schedule for a project, recording company finance and controlling project management. Application will uses PHP programming language and MySQL for making database.The results obtained from this thesis is that, the new system is helping the company to create and record RAB, and by comparing the calculated result from CPM and Resource Loaded Scheduling, both method have it’s own advantages and disadvantages.
Implementasi Sistem Administrasi dan Inventory Control pada Warehouse UD. X Michael Pang; Lily Puspa Dewi; Yulia Yulia
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Inventory control is a process to ensure the amount of supply available in a business process. Inventory control can help prevent losses and turnover and maximize customer satisfaction. The problems experienced by UD Warehouse. X is prone to stockout and inaccurate transaction recording. Inventory control and administration systems will be used to help avoid stockouts and record transactions accurately. Based on the transactions that have been recorded in the system, it can produce the ideal number of goods procured along with when the goods are procured. Reports for each period can be seen on the system in accordance with the recording of transaction data. The data used in calculating Economic Order Quantity and Reorder Point are transactions from 2018 at the UD warehouse. X.
Voice Alert Sebagai Alat Bantu Penglihatan di Lingkungan Rumah dan Jalanan Secara Umum Berbasis Android Kevin Christian Salim; Liliana Liliana; Rolly Intan
Jurnal Infra Vol 9, No 1 (2021)
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According to research conducted by the Governors Highway Safety Assocation in 2017 showed that there are about 6 thousand pedestrians killed in America due to the habit of using smartphones while walking. Another study from Jeff Ronsen showed that the brain is overloaded and cannot function properly when performing these two activities at the same time. Walking while using a smartphone makes the concentration on the atmosphere of the road split and makes pedestrians not focus on the road but rather on the smartphone. Such behavior results in an increased risk of pedestrian accidents. One solution to prevent accidents above is to use the smartphone camera to take pictures in front of the user.Smartphone cameras can be used to retrieve input data in the form of images in real time which is then carried out the process of object detection and issue alerts in the form of sounds that mention the name of the detected object to smartphone users. Detected objects are objects that are generally located in home and street environments such as humans, cars, bicycles, motorcycles, and stop signs. Object detection using SSD MobileNet applied transfer learning that is further trained by using google open image dataset v6 dataset. The result of transfer learning is weight used to detect objects from android camera input.The test results showed that SSD_MobileNet_V2 with a learning rate of 0.01 and steps 10,000 has the best mAP value with 80% in detecting objects. The SSD_MobileNet_V2 can detect objects with an inference time speed of 80ms – 110ms in real time in a standby device, and voice alerts by instantly issuing alerts when an object is detected.
Aplikasi Android pencarian jasa titip dari traveller yang bepergian di dalam dan luar negeri Billy Sugiharto; Henry Novianus Palit; Djoni Haryadi Setiabudi
Jurnal Infra Vol 9, No 1 (2021)
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In several social media applications such as Facebook and Instagram, a traveler who is traveling (both local and international) is often found offering services to purchase goods for a certain fee. This has even become a permanent source of income for some of them. However, this has several problems, both from the buyers and the traveler's side. From the buyer's side, it would be very risky because they have to transfer money first. From the traveler's point of view, social media is not a place only to look for entrusted services so that their chances of getting buyers will not be maximized. From the existing problems, an Android-based application was made to collect these travelers so that prospective buyers know where to go when looking for a entrusted service. Similar applications used for comparison include the UShopper application[1], the X application[3], the Y application[2], Bistipand Airfrov. In the application above, no one applies the fair review feature and only the Bistip application has a chat feature between users before carrying out the transaction process.The application created solves the mentioned issues by applying a fair review system so that there are no biased reviews and has a chat feature so that users can communicate with each other without having to use other applications.Based on the results of tests that have been carried out through a questionnaire with 8 respondents who have played a role as a buyer in a entrusted service, the application that was made received an average score of 4,625 out of 5. The application is considered to be able to help prospective buyers find the right traveler according to their wishes with the help of features filtering. This feature can filter travelers that buyers are looking for with parameters: maximum return date and types of items that can be brought on a trip.

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