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Implementasi Sistem Penilaian Kinerja Karyawan Dengan Menggunakan Metode AHP-TOPSIS Untuk Rekomendasi Pemilihan Karyawan Tetap Dedi Romario; Fitra Abdurrachman Bachtiar; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The role of the workforce as Human Resources (HR) that runs operational tasks within the company has an important role in the success of the company. To get a competent workforce it is necessary to conduct an assessment process for the workforce to be appointed as permanent employees in a company. It is also applied by one of the companies in the field of express courier and logistics PT. Tiki Jalur Nugraha Ekakurir or commonly known as JNE. To reduce subjectivity in the assessment process it is necessary to give weighting to each criterion to be used in the assessment process. Analytical Hierarchy Process - Technic for Preference Order by Similarity to Ideal Solution method is one of the combined methods that can help to support decisions in recommending employees. Where AHP is applied to look for priority weights criteria and TOPSIS is applied to rank alternative employees. Accuracy testing is done by using comparison criteria data provided by JNE. The test data used is data from employee recommendations in 2017 as many as 33 employee recommendation data. The results of accuracy testing conducted found that the system's accuracy rate was 69% for permanent employee recommendations, 50% for contract extension, and 80% for contract termination recommendations. In the system acceptance test using the SUS method the value obtained is 80 which in the range of values is the range of "acceptable" values in the SUS scale
Optimasi Fungsi Keanggotaan Fuzzy Tsukamoto dengan Algoritme Genetika pada Peramalan Harga Emas untuk Stock Trading Ficry Agam Fathurrachman; Fitra Abdurrachman Bachtiar; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Investors and stock traders need knowledge of forecasting when the price of gold will rise or will decline to minimize the risk in investing. This forecasting requires an appropriate method in order to give good results. FIS Tsukamoto is used to forecast the price of gold based on existing exchange rate data. The parameters used by Tsukamoto FIS are the currency rates of USD / GBP, CHF / USD, JPY / USD, EUR / USD based on the previous three days and the price of gold based on the previous day. To maximize Tsukamoto FIS performance, Tsukamoto FIS membership function will be optimized using Genetic Algorithm. The chromosome representation used is real-coded with a double data type. The reproduction of the crossover method used is one-cut point, while the mutation method used is random mutation. In the selection process, the method used is elitism selection to get the best individuals. Based on parameter testing carried out with 10 experiments each parameter, the best population size is 180, combination of cr = 0.9 and mr = 0.1, and the best number of generations is 325, the best fitness value is 8.6972. The Root-Mean Squared Error (RMSE) value obtained before optimization is 13.3611, while after optimization it is obtained that the smaller RMSE value is 12.5801. These results indicate an increase in the value of accuracy in Tsukamoto FIS after being optimized using Genetic Algorithm.
Klasifikasi Rating Berdasarkan Komentar Tempat Wisata Di Media Sosial Dengan Menggunakan Metode Fuzzy K-Nearest Neighbor Nanda Ajeng Kartini; Fitra Abdurrachman Bachtiar; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At present, with the ease of access to information, many tourist sites use rating features to help facilitate information. Rating is used as an indicator to support quality and popularity. Users only give an overall assessment of each comment and do not provide an assessment in accordance with the aspects discussed, making it difficult for comment readers to analyze the superior aspects of the comment. From this problem, in this study a rating classification system will be made on tourist attractions using the Fuzzy K-Nearest Neighbor (FKNN) method. FKNN method is one of the development methods of the KNN method, the difference is that there is a membership class to determine the classification class. In addition, this study uses a Lexicon Based dictionary to determine feature extraction. The results of the tests in this study showed the highest accuracy of K=20 values of 60% while the accuracy of precision and recall values reached 40% and 40% respectively. In testing the K-Fold Cross Validation with 5 fold it produces an average of 51.4%.
Pengembangan Sistem Point Of Sale Berbasis Web Pada Edd's Waffle Untuk Mendukung Penjualan Restaurant Said Atharillah Alifka Alhabsyi; Fajar Pradana; Fitra A. Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Culinary business is a business that is available in every region both on a small and large scale. Edd's Waffle, is a restaurant located in Pekanbaru with variant price of food and beverages that become popular among teenagers. Nowadays, Edd's Waffle uses a standard cash register, the Cash Register Sharp XE-A102 to support sales transactions. This standard cash register leaves a lot of problems in terms of sales development due to its ability to only be able to print sales receipts and provide financial reports in X-reports and Z-reports containers. To solve this problem, a point of sale system was developed to support Edd's Waffle both in terms of sales and information optimization. This point of sale system provides key features such as adding transactions, observing sales transaction history and sales progress charts, estimating revenue predictions, and identifying sales trends that contain the lists of products and best-selling product combinations. In term to optimize current data, this system utilizes 2 algorithms that contained in data mining techniques. The first algorithm is Holt Exponential Smoothing to predict Edd's Waffle's income. The selection of this algorithm is because the existing pattern of data movement is dynamic, which tends to change and is not bound by certain variables. Whereas the second algorithm is Apriori, to analyze the trends in every sold product, so that it produces information to get the combination of potential products to be paired. This system is built on web platforms. This system has been tested using unit testing and integration testing using the Whitebox method and validation testing using the Blackbox method. Beside of that, usability testing is measured using the System Usability Scale method, which the final score is 87.5 (acceptable).
Sistem Recruitment Pegawai (Studi Kasus: Mahar Agung Organizer) Rizkia Desi Yudiari; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mahar Agung Organizer has many parameters in selecting candidates that cause a lot of time during manual processing. Project manager's selection in February 2018 was then estimated at more than five hundred job applicants. In the August 2018 official crew selection, it was estimated that job applicants reached one thousand six hundred candidates. In addition, there was no process of classifying the types of events suitable for official crew after being accepted, causing the project manager to review the results of the interview to place the crew official in the list of events. The absence of a concise page that can display information related to official crew work performance to assess official crew performance is also one of the problems that is expected to be resolved through this research. This research will be conducted using an Object-oriented (OO) approach that will use Use Case Diagrams, Sequence Diagrams, and Class Diagrams in making systems. The development cycle uses the Prototype method by doing two iterations according to the agreement in the beginning with the stakeholders. This system will have three main features. The first feature will be implementing selection of candidates with Profile Matching. The second feature is a function for placing candidates who have been accepted into their divisions using the Naive Bayes algorithm. The third feature is displaying official crew performance in the form of dashboarding information. Validation testing using Black Box produces 100% validity. Unit testing and integration testing using White Box is in accordance with expected result.
Pengembangan Sistem Berbasis Web untuk Monitoring LEAD (Studi Kasus Website Document Solution) Mochammad Dearifaldi Al Ikhsan; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Online marketing or often called digital marketing is marketing with the concept of promoting a product or service through internet-based media, one of which is a website. The existence of a website raises new problem, namely the difficulty in recognizing website visitors. The use of website to improve marketing strategies needs to be done by recognizing website visitors which will be the lead for a company. Without recognizing the website visitors, the salesperson cannot determine the customer to be contacted. To overcome these problems, a system of monitoring leads is built on the website by applying the waterfall development model. The technology used in this research is the laravel framework which are implemented using the PHP and Javascript programming languages. This research produces a monitoring lead system that can monitor leads, recognize the behavior of website visitors, find out the recommendation of leads, and conduct lead management. In the calculation process, the recommendation of leads uses the weighted product method which is a decision support method that uses weighting, where alternative values and predetermined criteria are needed. This weighted product method is expected to provide recommendation of leads in the form of rating so the salesperson know which leads should be followed up. Testing is done by using the white-box and blackbox methods which show the results that the system functions are in accordance with the main functional specifications, which is displaying various lead information. Usability testing produces a value of 91.67 which indicates that the system has made it easy for users.
Peringkasan Review Konsumen Restoran Menggunakan Weighted Frequent Itemset Mining Moh Iqbal Yusron; Fitra Abdurrachman Bachtiar; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Review written by customer toward a restaurant can be useful for prospective customer or owner of the restaurant to knows the others opinion about the restaurant. However, this can cause a problem if customer review comes in large number. Automatic text summarization system can be a good solution to this problem. One of the best known method for automatic text summarization is TF-IDF weighting. Yet, this method also has a weakness for having tendency to extract long sentences as summary which has high score for contaning many words. In this research, writer propose an approach to use automatic text summarization which not only extract sentences based on its weight but also the ones which covered some words. This is because in the sentences which considered as summary, exist some words which appear together frequently (frequent itemset). Therefore, in this research Weighted Frequent Itemset method is used to summarize customer review for restaurant. This method summarize text by extracting sentences which covered many frequent itemsets and has high sentence relevance score. The result from the test shows that summarization using Weighted Frequent Itemset Mining method archieve average F-measure 0.279.
Perbandingan Peramalan Jumlah Penumpang Keberangkatan Kereta Api di DKI Jakarta Menggunakan Metode Double Exponential Smoothing dan Triple Exponential Smoothing Irma Nurvianti; Budi Darma Setiawan; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every year the population of DKI Jakarta Province always increases. It requires the government to improve the quality of public transportation. Train is one of public transportation in DKI Jakarta. Train is a transportation that is used as an alternative mode of transportation when going to travel far to avoid congestion in the city. Therefore, it needs to plan the train capacity for custumer satisfaction. The excessive or less passengers will have an impact on the performance of PT KAI, resulting in the need forecasting the number of passengers departure for trains which the result can be used by the local government and PT KAI to improve services. This research uses and compares the accuracy of Double Exponential Smoothing and Triple Exponential Smoothing. This research uses 156 records of number of passengers, from Januari 2005 to December 2017 obtained from the data published by Statistic Indonesia. From the study testing, the smallest MAPE is found in Triple Exponential Smoothing, it is 3,213% with the most optimal parameters are =0,4, =0,4 and =0,1. The MAPE value is under 10%, it means the method can predict very well.
Pengembangan Sistem untuk Memonitor Aktivitas Media Sosial Berbasis Web (Studi Kasus Media Sosial Twitter Calon Legislatif pada Pemilihan Legislatif 2019) Vasha Farisi Sarwan Halim; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Social media has been assessed to be an effective media for campaign and the use of social media is evidently could develop electability of political candidate. However, because there is limitation of time to keep monitor the condition of social media, usually political candidate's social media end up unmonitored and also not managed very well. To solve the problem, this study will build a system to monitor social media activity by applying waterfall development model with object oriented approach. This system will provide features such as displaying social media activity, people's sentiment analysis, recommendation activity to manage social media, and Indonesian trending topic. System will be developed with Model View Controller (MVC) concept with Laravel framework and PHP, HTML, Javascript as the programming languages. When implementation phase is finished, white box and black box testing is done with result the system has been 100% valid. Usability testing by heuristic evaluation method also done to make sure that system is already made easy for users. The result of usability testing is system has visibility of system status and user control and freedom problem with severity ratings valued 1 which means there is no need to change the system and the system is already made easy for users.
Sistem Pencegah Plagiarisme Dalam Tugas Mahasiswa Dengan Snapshotting dan User Activity Logging Azzam Syawqi Aziz; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Plagiarism is an inseparable thing from an academic environment. Various motivations including working part-time and social dilemmas contribute to the high percentage of plagiarism at the university level. Handling with the plagiarism detection method has many disadvantages, such as the emergence police-criminal paradigm, value-oriented mindset, and technical weakness such as inability in analyzing translated documents. Hellas, Leinonen, and Ihantola's research with the plagiarism prevention method has several shortcomings, namely ignoring the process of work so that students can be cheated by buying assignments, the analysis at the end makes students able to cheat during assignments, no any log produced so the teacher can't assess student effort, and the software is tied to a particular platform. This research aims to perfect previous research by adding a snapshotting process that records document changes, user activity logging which records student activities, and build the systems with agnostic properties so that there is freedom to choose the form of tasks and the software that will be used. The system is tested using unit testing, integration, validation, automated testing, and compatibility. Unit testing and integration are valid and exceed 70% code coverage, validation testing in 32 test cases are valid, and compatibility testing shows the system is running well on six common desktop environments. Valid automated testing that contains no errors can speed up the testing process.
Co-Authors AA Sudharmawan, AA Abidatul Izzah Abu Wildan Mucholladin Achmad Arwan Achmad Basuki Achmad Fahlevi Achmad Firmansyah Sulaeman Achmad Hanim Nur Wahid Achmad Ridok Adam Hendra Brata Adam Syarif Hidayatullah Adam Syarif Hidayatullah Adinugroho, Sigit Aditya Rachmadi Aditya Rachmadi, Aditya Admaja Dwi Herlambang, Admaja Dwi Admi Rut Sinana Afida, Latansa Nurry Izza Afifurrijal Afifurrijal Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Fairuzabadi Ahmad Foresta Azhar Zen Aisyah Awalina Aisyah Awalina Aisyatul Maulidah Aisyatul Maulidah Akhmad Lazuardi Alaikal Fajri Nur Alfian Aldi Fianda Putra Alfi Nur Rusydi Alfin Taufiqurrahman Alfirsa Damasyifa Fauzulhaq Alhasyimi, Dana Mustofa Alifi Lazuardi Gunawan Amalia Kusuma Akaresti Andi Alifsyah Dyasham Anggit Chalilur Rahman Anita Rizky Agustina Anita Rizky Agustina Anjasari, Ni Luh Made Beathris Anjumi Kholifatu Rahmatika Annuranda, Ramansyah Eka Apriyanti -, Apriyanti Ardi Wicaksono ari kusyanti Arieftia Wicaksono Aulia Akhrian Syahidi Aulia Dewi Savitri Aulia Nurrahma Rosanti Paidja Aulia Septi Pertiwi Azhar Izzannada Elbachtiar Azzam Syawqi Aziz Baharudin Yusuf Widiyanto Barlian Henryranu Prasetio Bayu Aji Firmansyah Bayu Sutawijaya Benni A. Nugroho Bere, Stevania Biabdillah, Fajerin Bianca Pingkan Nevista Bintang Fajrianti Brahma Hanif Farhansyah Budi Darma Setiawan Budi Setiawan Cahya, Reiza Adi Cinthia Vairra Hudiyanti Dariswan Janweri Perangin-Angin Dary Ardiansyah Haryono Dea Zakia Nathania Dedi Romario Delpiero, Rangga Raditya Desy Setya Rositasari Dika Imantika Dimas Angga Nazaruddin Dinda Adimanggala Dito William Hamonangan Gultom Diva Fardiana Risa Diva Fardiana Risa Djoko Pramono Dona Adittia Dyah Ayu Wulandari Dyah Ayu Wulandari Dzar Romaita Eka Devi Prasetiya Eka Yuni Darmayanti Eko Laksono Eko Setiawan Elok Nuraida Kusuma Dewi Fabiansyah Cahyo Kuncoro Pradipta Faizatul Amalia Fajar Pradana Fajar Pradana Fajerin Biabdillah Faranisa, Puspa Ayu Fardan Ainul Yaqiin Farhan Setya Dhitama Farid Syauqi Nirwan Fasya Ghassani Hadiyan Fatwa Ramdani, Fatwa Ferdian Maulana Akbar Ferry Ardianto Rismawan Ficry Agam Fathurrachman Fikar Mukamal Gandhi Ramadhona Giga Setiawan Gregorius Dhanasatya Pudyakinarya Gultom, Dito William Hamonangan Gunawan, Alifi Habib Bahari Khoirullah Haikal, Raihan Hanif Prasetyo Maulidina Hanifah Khoirunnisak Hanifah Muslimah Az-Zahra Hanifah Muslimah Az-Zahra, Hanifah Muslimah Haryowinoto Rizqul Aktsar Hasyir Daffa Ibrahim Hayashi, Yusuke Herman Tolle Heryana, Ana Hirashima, Tsukasa Holiyanda Husada Hutamaputra, William Ihza Razan Alghifari Ikhsan Putra Arisandi Ikrom Septian Hadi Ilham Pambudi Imam Cholissodin Imam Cholissodin Imam Cholissodin Indra K. Syahputra Indra Kurniawan Syahputra Indriati Indriati Indriati Indriati Intan Yusuf Habibie Iqbal Taufiq Ahmad Nur Irfani, Ilham Irma Nurvianti Irwan Suprianto Issa Arwani Ivqonnada Al Mufarrih Joseph Ananda Sugihdharma Joseph Ananda Sugihdharma Julia Ferlin Kartiko, Erik Yohan Katrina Puspita Kevin Gusti Farras Fari' Utomo Kharis Alfian Kharis Alfian Kresna Hafizh Muhaimin Krisnabayu, Rifky Yunus Krisnandi, Dikdik Kuncahyo Setyo Nugroho Kurnia Fakhrul Izza Kusumo, R. Budiarianto Suryo Lailil Muflikhah Ludgerus Darell Perwara Luthfi Afrizal Ardhani M Reza Syahputra A M. Ali Fauzi M. Khusnul Azhari M. Raabith Rifqi M. Sofyan Irwanto Mar'i, Farhanna Marvel Timothy Raphael Manullang Mawarni, Marrisaeka Michael Stephen Lui Moch Irfan Prayudha Adhianto Mochamad Chandra Saputra Mochamad Havid Albar Purnomo Mochammad Dearifaldi Al Ikhsan Mochammad Dearifaldi Al Ikhsan Moh Iqbal Yusron Mufidatun Nuha Muh. Edo Aprillia Andilala Muhammad Ferdyandi Muhammad Ifa Amrillah Muhammad Tanzil Furqon Muhammad Taufik Dharmawan Muhammad Wafi Muhammad Wafi Muhammad Zulfikarrahman Nabila Leksana Putri Nabila Lubna Irbakanisa Nadifa, Rahajeng Mufti Nainggolan, Cesilia Natasya Nanang Yudi Setiawan Nanang Yudi Setiawan Nanang Yudi Setyawan Nanda Ajeng Kartini Nanda Samsu Dhuha Nasita Ratih Damayanti Naufal Fathirachman Mahing Nourman Hajar Novanto Yudistira Novi Sunu Sri Giriwati Novianti, Siska Nur Wahyu Melliano Hariyanto Nurafifah Alya Farahisya Nurul Hidayat Oddy Aulia Rahman Nugroho Okta Dwi Ariska Ovy Rochmawanti Pamungkas, Gilang Alif Pradana , Fajar Priyambadha, Bayu Pryono, Muhammad Adam Puras Handharmahua Putra Pandu Adikara Rafif Taqiuddin Rafif Taqiuddin Rafly, Andi Raga Saputra Heri Istanto Rahman, Rafli Rahmat Adi Setiawan Ramadhan, Muhammad Fitrah Randy Cahya Wihandika Randy Cahya Wihandika Ratih Kartika Dewi Refi Fadholi Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renavitasari, Ivenulut Rizki Diaz Retno Indah Rokhmawati Retno Indah Rokhmawati, Retno Indah Revanza, Muhammad Nugraha Delta Reza Syahputra Rezka Aditya Nugraha Hasan Rezky Dermawan Rhobith, Muhammad Rian Nugroho Ridwan Adi Setiabudi Riski Darmawan Riza Setiawan Soetedjo Rizal Setya Perdana Rizkey Wijayanto Rizkia Desi Yudiari Rizky Adinda Azizah Rizky Muhammad Faris Prakoso Robi Dwi Setiawan Rona Salsabila Said Atharillah Alifka Alhabsyi Samuel Arthur Satrio A. Wicaksono Satrio Agung Wicaksono Satrio Agung Wicaksono Satrio Hadi Wijoyo Satrio Hadi Wijoyo Satyawan Agung Nugroho Satyawan Agung Nugroho Shinta Aprilisia Sifaunnufus Ms, Fi Imanur Sintiya, Karena Siswahyudi, Puad Siti Mutdilah Sofyanda, Erika Yussi Sri Wulan Utami Vitandy Sueddi Sihotang Sugihdharma, Joseph Ananda Sulandri Sulandri Sza Sza Amulya Larasati Taufik Hidayat Timothy Julian Titus Christian Ubaydillah, Achmad Afif Utaminingrum, Fitri Vasha Farisi Sarwan Halim Very Sugiarto, Very Vivy Junita Wahyu Ardiansyah, Mohammad Wahyu Satriyo Wibowo Wahyudi, Hafif Bustani Wayan F. Mahmudy Wayan Firdaus Mahmudy Welly Purnomo Whita Parasati Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Wiratama Ahsani Taqwim Wirdhayanti Paulina Yoga Tika Pratama Yudi Muliawan Yuita Arum Sari Zainal Arifien Zayn, Afta Ramadhan