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Jurnal Informatika Universitas Pamulang
Published by Universitas Pamulang
ISSN : 25411004     EISSN : 26224615     DOI : https://doi.org/10.32493
Core Subject : Science,
Computer Science & IT
Jurnal Informatika Universitas Pamulang is a periodical scientific journal that contains research results in the field of computer science from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments research (state-of-the-art). Topics cover the following areas (but are not limited to): Artificial Intelligence Big Data Business Intelligence Data mining Decision Support Systems Intelligent Systems Machine Learning Network and Computer Security Optimization Pattern Recognition Soft Computing Software Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 625 Documents
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Implementasi Sistem Informasi untuk Pemantauan dan Evaluasi Efektivitas E-Learning Farida Nurlaila; Joko Riyanto; Fajar Agung Nugroho
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.6436

Abstract

This study discusses the monitoring and evaluation of e-learning activities through the LMS (Learning Management System) application of Pamulang University. In the previous process, the system used could only display activities carried out by lecturers that were recorded in the e-learning log. The logs that are displayed only create, update, delete activity, and cannot provide information about the effectiveness of online learning. Other parameters are needed to measure the effectiveness of online learning. One of them is the number of activities lecturers have to do for each subject within a certain period. In each course, the lecturer activity frequency is called create. Create is intended to open discussion topics by providing questions and responses to students' answers. From the results of monitoring, the achievement of creation is not sufficient to determine the success of implementing e-learning at Pamulang University. So that several other restrictions are needed such as participation, intensity, and content suitability. However, problems that occur in other parameters cannot be monitored just by looking at the data from the e-learning log. From these problems, a visual presentation of the activities of lecturers and students is needed which allows Study Programs with low percentages to be identified as quickly as possible, and decision making can be determined. The results showed that the four parameters can be implemented in the system. The average value of student participation in discussion forums is 74.99%, the ratio of the intensity of the activeness of lecturers and students every day of the week during the implementation period is 49.40%. Then the content suitability obtained an average of 0.04% and an average value of 65.90% lecturer activity. The generating facility automatically shows the four parameters in cooperation with the final result considered to assess the effectiveness of e-learning.
Metode Waterfall pada Sistem Informasi Pengolahan Data Penjualan dan Pembelian Barang Rohmat Rifai; Mely Mailasari
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6721

Abstract

Fang Fifi Cell store is one of the shops selling cellphones and accessories in Bekasi. The system used at the Fang Fifi Cell Store is still very manual, starting from data collection, transactions, and reporting. Data collection of goods and transactions still uses handwriting so that recording errors often occur and it is difficult to find data due to accumulation of files. Therefore a problem solving is needed to make it easier for staff to work, namely by making a transaction program and stock goods using the waterfall method, the process is structured and then tested with blackbox testing so thatproduce quality programs that are effective and efficient.This program is expected to support all sales activities and data collection of goods at the Fang Fifi Cell Store as a whole so that it can improve transaction services and inventory data collection as well as making reports.
Aplikasi Pembelajaran Anatomi Tubuh Manusia berbasis Android untuk Siswa Sekolah Dasar Dian Nazelliana
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.7932

Abstract

SDN Beji Timur 3 is an elementary school in the Depok area. The delivery of cognitive learning material in this school using conventional methods has an effect on the effectiveness of student learning at school. Learning activities have two important elements in the form of teaching methods and learning media and the two are interrelated. The process of selecting teaching methods is also adapted to the learning media. Several aspects need to be considered in relation to the objectives of learning activities, types of tasks. Another aspect is the response of students during learning activities including student characteristics. Learning media has the main function as a tool for educators to teach that is influenced by climate, conditions, and the environment. Efforts to improve effective learning methods to accelerate the learning process so that learning materials are delivered interestingly at the right time. This study answers this learning problem by creating an Android-based learning media application to explain material about the introduction of human anatomy.
Klasifikasi Rating Otomatis pada Dokumen Teks Ulasan Produk Elektronik Menggunakan Metode N-gram dan Naïve Bayes Rahmawan Bagus Trianto; Andri Triyono; Dhika Malita Puspita Arum
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6110

Abstract

Online product ratings usually provide descriptive reviews and also reviews in the form of ratings. Likewise, what was done at the Lazada online store. Descriptive review can provide a clear view compared to a rating review to other potential buyers. However, in reality there is a mismatch between the description review and the rating given. This creates a lack of information for sellers as well as potential buyers. Automatic classification of buyer descriptive reviews is proposed in this study so that there is a match between descriptive reviews and rating reviews. This automatic classification descriptive review uses the Naive Bayes algorithm with n-gram feature extraction and TF-IDF word weighting. The results of this study obtained the best accuracy of 94.06%, a recall of 91.73% and precision of 90.71% in Bigram feature extraction. With this accuracy value it can be used as a reference or model for classifying product description reviews, so that the feedback process between sellers and buyers can run well.
Implementasi Deep Learning Menggunakan Metode CNN dan LSTM untuk Menentukan Berita Palsu dalam Bahasa Indonesia Antonius Angga Kurniawan; Metty Mustikasari
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.6760

Abstract

This research aims to implement deep learning techniques to determine fact and fake news in Indonesian language. The methods used are Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM). The stages of the research consisted of collecting data, labeling data, preprocessing data, word embedding, splitting data, forming CNN and LSTM models, evaluating, testing new input data and comparing evaluations of the established CNN and LSTM models. The Data are collected from a fact and fake news provider site that is valid, namely TurnbackHoax.id. There are 1786 news used in this study, with 802 fact and 984 fake news. The results indicate that the CNN and LSTM methods were successfully applied to determine fact and fake news in Indonesian language properly. CNN has an accuracy test, precision and recall value of 0.88, while the LSTM model has an accuracy test and precision value of 0.84 and a recall of 0.83. In testing the new data input, all of the predictions obtained by CNN are correct, while the prediction results obtained by LSTM have 1 wrong prediction. Based on the evaluation results and the results of testing the new data input, the model produced by the CNN method is better than the model produced by the LSTM method.
Application of C4.5 Algorithm in Improving English Skills in Students Septri Wanti Siahaan; Kristin Daya Rohani Sianipar; P.P.P.A.N.W Fikrul Ilmi R.H Zer; Dedy Hartama
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.5268

Abstract

In this world, many languages from other countries can be used as a communication tool. One of them is English. Students who has qualification must know that learning English is very much needed. Because nobody knows what will happen in the next few years. It could be one factor to obtain a position the next few years is our expertise in speaking English. English is a global language used by people to communicate with other people. On this occasion, researchers conducted research to determine what factors can improve students' ability to speak English. To complete this research, researchers resolve by applying the existing algorithm in data mining, namely C4.5 Algorithm. The result of this research can be concluded that the factors that influence to improve students ability in English are hearing from the environment.
Rancang Bangun Sistem Monitoring Ruang Kelas Berbasis Internet of Things pada Universitas Pamulang Joko Riyanto; Farida Nurlaila; Heri Haerudin; Bayu Tirto Jarastino
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.7018

Abstract

In a classroom, ideally there are facilities such as chairs, desks, blackboards, and electronic devices used such as air conditioners (AC), lamps and projectors. However, in its use, there are actions that are not responsible for maintaining the facility so that it causes losses. An internet of things-based classroom monitoring system is needed to solve existing problems. This system has the ability to remotely operate electronic facilities in classrooms such as air conditioning, electricity and lights, monitor access to classrooms, process data, print activity monitoring reports, to monitor the current conditions of a room. This system consists of three parts, namely the database part, the microcontroller section and the software section. The database section contains data on access cards or fingerprints, room usage schedules, room temperature and humidity. The methodology for designing and building a classroom monitoring system uses the waterfall methodology. In this methodology, several steps are taken to build a system, namely: system requirements analysis, hardware design and software engineering, system design, system implementation, system testing, and system maintenance. Based on the test results, this system can record input data on the microcontroller section and display it in the software section for real-time monitoring and controlling of classrooms and minimizing damage to existing facilities in the classroom. Monitoring of classroom use that is not according to the schedule of use can be carried out and controlled remotely in real-time.
Aplikasi Pemesanan Karantina dan Pengiriman Paket Ikan PD. Masterindo Laju Abadi di Tangerang Berbasis Android Nunu Kustian; Dudi Parulian
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6660

Abstract

The more technology develops, the more it creates a consumptive society pattern. Apart from shopping, the shipping sector has also experienced many developments. PD. Masterindo Laju Abadi provides shipping and quarantine services for fish shipments, where each fish sent must have a quarantine document in order to be sent. However, the management of shipping data and tracking of receipts is still done manually, causing several errors in data retrieval or in calculating bills. If this condition is allowed to drag on, then the hope to increase the company's productivity cannot be fulfilled and it is more difficult to achieve, therefore it is better if this service sector is supported by existing technology, so that it can make it easier for fish sellers to run their business. This research takes the theme of the business that is carried out by PD. Masterindo Laju Abadi, a shipping service company that collaborates with JNE and Caratina which only provides a few employees in the office division to handle a variety of different jobs, therefore it would be better if a job done by these few people can be handled properly and efficient.
Perbandingan Metode KNN, Decision Tree, dan Naïve Bayes Terhadap Analisis Sentimen Pengguna Layanan BPJS Rani Puspita; Agus Widodo
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.7622

Abstract

BPJS is really helpful because one of its goal is to provide good service for the member in terms of healthiness. But, when there’s many people using the service, then it will cause more pros and contras. Therefore, researcher will be doing sentiment analysis in the field of data mining towards bpjs users on social media Twitter as much as 1000 data that later will be filtered to be 903 data because there are some data that has been duplicated. Researchers used the KNN, Decision Tree, and Naïve Bayes methods to compare the accuracy of the three methods. Researchers used the RapidMiner version 9.7.2 tools. The results showed that the sentiment analysis of Twitter data on BPJS services using the KNN method reached an accuracy level of 95.58% with class precision for pred. negative is 45.00%, pred. positive is 0.00%, and pred. neutral is 96.83%. Then the Decision Tree method the accuracy rate reaches 96.13% with the precision class for pred. negative is 55.00%, pred. positive is 0.00%, and pred. neutral is 97.28%. And the last one is the Naïve Bayes method which achieves 89.14% accuracy with precision class for pred. negative is 16.67%, pred. positive was 1.64%, and pred. neutral is 98.40%.
Signature File Analysis Using The National Institute Standard Technology Method Base on Digital Forensic Concepts Randi Rizal; Ruuhwan Ruuhwan; Septian Chandra
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6073

Abstract

The number of crimes committed by utilizing advances in information technology such as information leakage, embezzlement of money in banks, credit card fraud, pornography, terrorism, drug trafficking and many more are definitely related to the name digital data. File signatures or magic numbers are one of the forensic science techniques that assist in processing this digital data. The method used in this research is the National Institute Standards Technology method to analyze the authenticity of digital data and the method of proof to obtain valid evidence during the identification process of data or file content. This research is presented in the form of an analysis of the use of signature files in investigations to determine the type of file in the case of leaking company information xyz, the research stage uses evidence handling procedures in the laboratory. Contributions made after conducting a series of case investigations using signature files have been successfully carried out using the Access Data FTK Imager application version 4.2.0 and WinHex version 18.6. Signature files can be used for case investigations in identifying and verifying file types so that files that have been modified can be restored and can be read by the operating system by checking file types through hexadecimal values in the header file (file prefix) that show the characteristics of each type file so that the file type can be found and the file can be read by the operating system.

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