bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementasi Probability Impact Matriks (PIM) Untuk Mengidentifikasi Kemungkinan dan Dampak Risiko Proyek
Authors: Sufa'atin Sufa'atin 
Published: September 2018

One of the obstacles in project construction is that the project is experiencing delays. The delay is influenced by several factors including the absence of risk recording, the unavoidability of the opportunities and the impact of risks that arise in the project and its handling, and the neglected risks that may disrupt the project. Project risk is the cumulative effect of an uncertain event opportunity, which affects the project objectives. Several methods can be used to handle the occurrence of project risk, one of the methods used to perform a risk assessment is the Probability Impact Matrix (PIM). PIM is a method that can be used to analyze risk qualitatively based on probability and its impact. By using the PIM method, some of the opportunities and impacts of risks that may arise in the project can be identified. In addition, the PIM method can minimize the risks that arise in the project and quickly resolve the risks.
Index Terms— Project, Risk, PIM, Possibility, Impact
Implementasi Scrum Model Development Pada Monitoring Inventory Control Cleaning Equipment dan Chemical PT. Explore Global Solution
Authors: Dewi Meta Amalya , Andriyani Rani 
Published: September 2018

The rapid technological advances have driven many service companies to take advantage of technology to improve their services. PT. Explore Global Solution, a cleaning service company with a manual hygiene control monitoring system through record keeping using ledgers and forms provided by the company, so that the company's activities have not run optimally, it is necessary to design the information system with the availability of time for 10 weeks, This research is done by using the method of exploration and application development with scrum model. The end result of this research is web-based applications that can improve operational performance, especially logistics division, with completion time of 373 hours or equivalent to 5 working days 8 hours per day is 9 weeks 3 days.
Index Terms—stock, request, backlog, sprint
Desain dan Implementasi Honeypot dengan Fwsnort dan PSAD sebagai Intrusion Prevention System
Authors: Tambunan Bosman , Raharjo Willy Sudiarto , Purwadi Joko 
Published: September 2018

Teknologi Internet saat ini tidak lepas dari banyak masalah ataupun celah keamanan. Banyaknya celah keamanan ini dimanfaatkan oleh orang yang tidak berhak untuk mencuri data-data penting. Kasus serangan terjadi karena pihak yang diserang juga tidak menyadari pentingnya keamanan jaringan untuk diterapkan pada sistem yang dimiliki. Honeypot yang dipadu dengan IPS menggunakan PSAD dan Fwsnort memberikan solusi untuk masalah tersebut. IPS berfungsi sebagai sistem yang bekerja memantau aktivitas jaringan yang melalui sistem IPS pada mode inline dan memblokir alamat IP yang mencurigakan setelah data stream dicocokan dengan signature yang ada, sedangkan Honeypot bekerja untuk mengetahui aktivitas penyerang dan semua aktivitas yang menuju pada honeypot dianggap mencurigakan. Hasil penelitian menunjukkan bahwa kemampuan Honeypot yang dipadu dengan IPS PSAD dan Fwsnort dapat saling melengkapi dalam mendeteksi serangan yang tidak diketahui oleh sistem IPS. Sistem ini juga menghasilkan log data yang dapat digunakan oleh administrator dalam menanggulangi serangan yang terjadi.
Kata kunci—intrusion prevention system, honeypot, psad, fwsnort, honeyd
Pengukuran Beban Komputasi Algoritma Dijkstra, A*, dan Floyd-Warshall pada Perangkat Android
Authors: Djojo Michael Alexander , Karyono Karyono 
Published: September 2018

Perkembangan teknologi di bidang komunikasi menciptakan berbagai kemudahan bagi pengguna untuk melakukan pertukaran informasi tanpa mengenal jarak secara geografis. Pada jaringan komunikasi, pertukaran informasi memerlukan pengaturan rute sehingga dicapai jalur terpendek untuk mengoptimalkan proses pengiriman data. Penelitian untuk mencari algoritma jalur terpendek masih terus dilakukan. Penelitian ini membandingkan algoritma Dijkstra, A*, dan Floyd-Warshall dari sisi waktu, beban komputasi dan penggunaan memori. Topologi yang digunakan dalam penelitian adalah topologi jaringan mesh karena dapat mewakili kondisi nyata. Aplikasi berbasis Android dapat digunakan sebagai simulator untuk memetakan vertice dan edge ke dalam kumpulan node dan channel yang saling berhubungan. Kompleksitas komputasi dalam pencarian jalur terpendek menjadi hal yang penting karena terdapat keterbatasan prosesor dan memori. Kompleksitas rute akan sebanding dengan skala jaringan mesh. Dari simulasi diperoleh nilai beban komputasi dan waktu simulasi yang sebanding dengan fungsi kuadrat jumlah simpul untuk ketiga algoritma tersebut. Hasil pengujian menunjukkan algoritma A* memiliki beban komputasi dan waktu simulasi yang paling kecil dibandingkan algoritma Dijkstra dan Floyd-Warshall tanpa mempengaruhi hasil pencarian rute terpendek. Hal ini disebabkan algoritma A* melakukan operasi pencarian dengan memanfaatkan nilai heuristik terhadap simpul tujuan, sehingga tidak semua simpul dilakukan pengecekan. Namun algoritma Dijkstra paling unggul dalam penggunaan memori. Floyd-Warshall menghasilkan nilai kompleksitas yang buruk pada proses pancarian jalur, semua data bobot kanal akan ditampung ke dalam matriks dua dimensi lalu diproses menggunakan operasi perulangan yang bertingkat.
Kata kunci - shortestpath, djikstra, a*, floyd-warshall, weighted graph, mesh, android
Pengembangan Prototipe Kontemporer Piranti Lunak Akuisisi dan Reduksi Data Terowongan Angin Kecepatan Rendah Indonesia
Authors: Pane Ivransa Zuhdi 
Published: September 2018

Data acquisition and reduction software plays an important role in providing accurate and reliable aerodynamics information for all stakeholders in a wind tunnel test. Step-by-step development through prototyping cycles promotes the creation of data acquisition and reduction software which is in accordance with the requirement definition. Test in virtual machine environment showed adequate performances which in turn suggests further implementation of the software prototype for the real applications.
Index Terms—wind tunnel test, data acquisition and reduction, prototype, software engineering
Implementasi Algoritma Squeezer dan Term Frequency Ranking dalam Pembangunan Sistem Rekomendasi Tempat Makan
Authors: Wirawan Vincentius , Hansun Seng , Nugroho I. Hargyo Tri 
Published: September 2018

Food is something that can not be separated from the life of every human being. Its variation makes a lot of people interested in tasting many types of food, even they have not known yet. The detail information of restaurants, especially their location could be a problem. So, the restaurants recommendation website is made to help them. The recommendations are given by the Squeezer algorithm using the user’s input as references. The accuracy of the given recommendations are determined from the amount and consistency of the user at the time of selecting the item. The Term Frequency Ranking is used as a searching feature to display the search results in ordered manner by their relevancy rank. Experiment result shows that the Term Frequency Ranking gives high value of Recall, 1, and 0.46 for the Precision value.
Index Terms—Recommended System, Squeezer, Term Frequency Ranking, Website.
Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)
Authors: Haryanto Joko , Hansun Seng 
Published: September 2018

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy.
Index Terms—fuzzy logic, decision support system, UMN, selection of major
Klasifikasi Citra Daun dengan Metode Gabor Co-Occurence
Authors: Muchtar Mutmainnah , Cahyani Laili 
Published: September 2018

Plant takes a crucial part in mankind existences. The development of digital image processing technique made the plant classification task become a lot of easier. Leaf is a part of plant that can be used for plant classification where texture of the leaf is a common feature that been used for classification process. Texture offers a unique feature and able to work even when the leaf is damaged or overly big in size which sometimes made the acquisition process become more difficult. This study offers a combination of Gabor filter methods and co-occurrence matrices to produce the most representative features for leaf classification. Classification using SVM with 5-fold cross validation system shows that the proposed Gabor Co-Occurence methods was able to reach average accuracy up to 89.83%.
Terms: Leaf, Gabor Co-occurence, Support Vector Machine, Texture
Distribusi Pengiriman File Multimedia Secara RealTime dengan Jaringan WAN Frame Relay
Authors: Halim Fransiscus Ati 
Published: September 2018

Today's communications networks are built using high-speed digital trunks that inherently provide high throughput, minimal relay, and a very low error rate. Such transmission networks supply highly reliable service without the overhead of error control functions. Frame relay is a packet-mode transmission network service that exploits these network characteristics by minimizing the amount of error detection and recovery performed inside the network [1]. In addition, real time network based systems can also minimize the possibility of employees committing fraud resulting in losses for the company. The research was carried out in a service provider video ad impressions company, which has fifteen branches in the islands of Java and Sumatra. The problem is the revenue reporting is not real-time and non-standard video file format ads to each branch. This is because the distribution process with the hard disk media are still using courier services. Based on user demand, it was decided to use the computer network using Frame Relay technology. With the computer network that connects all the branches to the head office, the data updating process can be done in a shorter time than the previous system and will reduce fraud forms of each branch and enable the achievement of a better quality of service to customers.
Index Terms—Computer Network, Frame Relay
Penerapan Logika Samar dalam Peramalan Data Runtun Waktu
Authors: Hansun Seng 
Published: September 2018

Recently, there are so many soft computing methods been used in time series analysis. One of these methods is fuzzy logic system. In this paper, we will try to implement fuzzy logic system to predict a non-stationary time series data. The data we use here is Mackey-Glass chaotic time series. We also use MATLAB software to predict the time series data, which have been divided into four groups of input-output pairs. These groups then will be used as the input variables of the fuzzy logic system. There are two scenarios been used in this paper, first is by using seven fuzzy sets, and second is by using fifteen fuzzy sets. The result shows that the fuzzy system with fifteen fuzzy sets give a better forecasting result than the fuzzy system with seven fuzzy sets.
Index Terms—forecasting, fuzzy logic, Mackey-Glass chaotic, MATLAB, time series analysis
Sistem Pendukung Keputusan Pemilihan Laptop Berbasis Web dengan Metode Analytical Hierarchy Process
Authors: Hartanto Teddy , Prasetiyowati Maria Irmina 
Published: September 2018

If we talk about notebooks, there are so many choice of brands with various specifications that is sold in markets. It makes consumers sometimes having difficulty to select a notebook based on required specifications. Based on those reasons, the authors decides to design a notebooks decision support system to help consumers making a choice on notebooks based on required specifications.The Method that the authors use for this notebooks decision support system is Analitical Hierarcy Process. This method chosen because it can choose the best alternative from some alternatives. The best alternative is best notebook based on specified criteria. The web based notebooks decision support system program designed based on Hyper Text Preprocessor (PHP) software dan MySQL for its database. The results of implementation from Analitical Hierarcy Process can be applied on the notebooks decision support system.
Keywords: Decision Support System, Analitical Hierarcy Process, Notebooks Selection
Metode Penentuan Ukuran Congestion Window Menggunakan Parameter Decrease dan Increase
Authors: Ranny Ranny 
Published: September 2018

Permasalahan pada sebuah jaringan terus berkembang seiring dengan peningkatan jumlah jaringan yang terbentuk. Peningkatan jumlah jaringan terjadi karena peningkatan jumlah dan jenis dari pengguna jaringan. Hal ini menyebabkan sistem yang ada sekarang harus terus disesuaikan dengan kebutuhan pengguna jaringan. Salah satu yang terus digunakan adalah algoritma TCP untuk mengatur pengiriman data, paket drop dan congestion window. TCP yang biasa digunakan masih dianggap kurang efektif dalam melayani pengiriman data terutama jika terjadi banyak paket drop. Jika banyak terjadi paket drop otomatis waktu yang dibutuhkan sebuah paket untuk sampai pada tujuan akan membutuhkan waktu yang lebih lama. Untuk itu dilakukan beberapa percobaan untuk mencari solusi yang bertujuan mengurangi drop. Salah satunya adalah dengan memodifikasi algoritma TCP. Solusi yang dijabarkan adalah dengan menambah parameter decrease dan increase yang mampu mengatur congestion window sedemikian sehingga mampu mengurangi drop.
Index Terms—Congestion window, paket drop, parameter increase dan decrease, TCP
Penerapan WEMA dalam Peramalan Data IHSG
Authors: Hansun Seng 
Published: September 2018

One of the most popular technical indicator used in time series analysis for predicting future data is the Moving Average method. During its’ development, many variation and implementation have been made by researchers, one of them is the Weighted Exponential Moving Average (WEMA) which is introduced by Hansun.In this paper, we will try to implement the WEMA method on one of stock market change indicator in Indonesia, i.e. the Jakarta Stock Exchange (JKSE) composite index data. The research is continued by calculating the accuracy and robustness of WEMA method, using MSE and MAPE criteria. The result shows that the WEMA method can be used to predict JKSE data and it’s quite accurate.
Kata kunci—time series analysis, JKSE, moving average, WEMA
Applying Neural Network Model to Hybrid Tourist Attraction Recommendations
Authors: Indriana Marcelli , Hwang Chein-Shung 
Published: September 2018

Recently, recommender systems have been developed for a variety of domains. Recommender systems also can be applied in tourism industry to help tourists organizing their travel plans. Recommender systems can be developed by a variety of different techniques such as Content-Based filtering (CB), Collaborative filtering (CF), and Demographic filtering (DF). However, the uses of these techniques individually will have some disadvantages. In this research, we propose a hybrid recommender system to combine the predictions from CB, CF and DF approaches using neural network model. Neural network model will learn by processing a training dataset, comparing the network’s prediction for each dataset with the actual known target value. For each training dataset, the weights are modified to minimize the mean-squared error between the network’s prediction and the actual target value. The experimental results showed that the neural network model outperforms each individual recommendation techniques.
Index Terms - Colaborative Filtering, Content-based filtering, Data Mining, Demographic Filtering, Hybrid Recommender System, Neural Network
Implementasi Algoritma Boyer-Moore pada Aplikasi Kamus Kedokteran Berbasis Android
Authors: Argakusumah Kencana Wulan , Hansun Seng 
Published: September 2018

Dictionary is a reference book that contains words and phrases that are usually arranged alphabetically and followed by description of the meaning, usage, or translation. Dictionary has several kinds, one of which is a dictionary of terms. Medical Dictionary is a dictionary of terms that contain medical terms. Medical dictionary identical with the thick book that complicated and slow in its use. To overcome this we need a medical dictionary application. Medical dictionary applications require a search process to support the performance of the application. Search process is needed to shorten the time in the search itself. Searching is done using the Boyer - Moore algorithm is a string search algorithm that has the fastest searching time, because the strings match moves from right to left, so can shorten the time and simplify the use of medical dictionary application. This research was made based on Android using Java programming language with SQLite databases. After testing, 100% of 45 respondents stated that the application of this medical dictionary has the accuracy of the resulting word in the search process.
Index Terms - medical dictionary application, search string, Boyer-Moore algorithm, Java, SQLite
Implementasi Zero Knowledge Proof Menggunakan Protokol Feige Fiat Shamir Untuk Verifikasi Tiket Rahasia
Authors: Raharjo Willy Sudiarto , Sutanti Dessy 
Published: September 2018

Cryptography is known for it’s ability to protect confidential information, but it can also be used for other purposes. One of them is for identity verification or authentication. One of the biggest disadvantages of traditional authencation method is at the end of the session, the verifier knows about secrets which is supposed to be known only by prover. In this paper, we implemented a ZeroKnowledge Proof-based secret ticket verification system using Feige Fiat Shamir protocol. The goal of this system is to help prover identified themselves to the verifier, but also prevent the verifier to understand anything about the prover’s secret information. The system is also able to prevent ticket duplication or double-use of tickets by using an interactive proof verification method. By combining it with cryptography, not only we can achieve completeness and soundness property of Zero-Knowledge Proof, but we can also achieve information security property.
Index Terms - Feige Flat Shamir, Verification, Zero Knowledge Proof.
Sistem Pendukung Keputusan Pemilihan Taksi Berbasis Web dengan Algoritma Pencarian Linear
Authors: Satriantoro Bimo , Iswari Ni Made Satvika 
Published: September 2018

Indonesian people have a high interest for public transportation. There are few kind of public transportation, and taxi is one of them. Taxi use taximeter to calculate passanger fares. Taximeters between taxi companies are different in term of results although using the same equation and principle. The total fare from the taximeter is based on equation that includes distance variable, speed of the vehicle, and time variable. People have a problem to choose taxi because of the differnces of taximeter fares and taxi pool. Based on the problem, the solution is an application to help customer to decide choosing taxi. The application will help customer by giving informations about taximeter and carpool form two different company. The informations are based on the distance of the start point and the finish point of the customer and based on the distances of the customer and the carpool of the taxy company that will processed trough the application to calculating the total fares for the customer between two taxi companies. By using algorithm for linear searching, customer will get the informations to help them to decide which taxi the customer will use.
Keywords: Linear Algorithm, Taximeter, Google Apps, Choice, Taxi
Forecasting Motorcycle Sales Using Nearest Symmetric Trapezoidal Fuzzy Number
Authors: Jessica Jessica , Hansun Seng 
Published: September 2018

A business activity aimed at obtaining forecasting as an initial step in planning activities helps provide an overview of sales in a business for the coming period based on data available. This research aims to design and develop a motorcycle sales forecasting application using Fuzzy Time Series with Nearest Symmetric Trapezoidal Fuzzy Number approach to predict the next period sales of PT Mutiara Motor. To test the accuracy of the method used in application, we used the MSE and MAPE criteria. Based on the results of three experiments taken: (1) monthly ‘All Category’-’All Type’ with MSE = 54.42 and MAPE = 4.28%, (2) monthly ‘Beat CW Fuel Injection’ with MSE = 3.67 and MAPE = 4.04%, and (3) daily ‘All Category’- ’All Type’ with MSE = 1.42 and MAPE = 27.36% we indicate that Fuzzy Time Series with Nearest Symmetric Trapezoidal Fuzzy Number approach could give higher accuracy than the Single Exponential Smoothing method as comparison in forecasting motorcycle sales.
Index Terms—fuzzy time series, nearest symmetric trapezoidal fuzzy number, sales forecasting
Identifikasi Dini Kerusakan Jalan Flexible Pavement Dengan Menggunakan Algoritma PCA
Authors: Kusnadi Adhi , Ranny Ranny 
Published: September 2018

Identifikasi of road damage and how to handle early is important so that the use of the road remains optimally. The delay in the repair process will exacerbate the damage to the road itself, and will certainly increase the cost of repairs. PCA algorithm was chosen because it is a technique that is commonly used to draw the features of the data on a high-dimensional scale. While the input of the system that is built in the form of a digital image of the damaged roads, has a relatively large dimensions to be used directly by the algorithm of pattern recognition, such as neural networks. Research results obtained this type of cracking cracked 67% and cracking the other 33%. This can be caused by a few things, namely the shooting process is not perfect, as the distance is too far, the less light, the edge detection process less well due to the method used is not appropriate.
Index Terms—road damage, PCA, cracking, image, egde detection
Aplikasi Rekomendasi Buku Pada Katalog Perpustakaan Universitas Multimedia Nusantara Menggunakan Vector Space Model
Authors: Oeyliawan Richard Firdaus , Gunawan Dennis 
Published: September 2018

Library is one of the facilities which provides information, knowledge resource, and acts as an academic helper for readers to get the information. The huge number of books which library has, usually make readers find the books with difficulty. Universitas Multimedia Nusantara uses the Senayan Library Management System (SLiMS) as the library catalogue. SLiMS has many features which help readers, but there is still no recommendation feature to help the readers finding the books which are relevant to the specific book that readers choose. The application has been developed using Vector Space Model to represent the document in vector model. The recommendation in this application is based on the similarity of the books description. Based on the testing phase using one-language sample of the relevant books, the F-Measure value gained is 55% using 0.1 as cosine similarity threshold. The books description and variety of languages affect the F-Measure value gained.
Index Terms—Book Recommendation, Porter Stemmer, SLiMS Universitas Multimedia Nusantara, TF-IDF, Vector Space Model