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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 33 Documents
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Search results for , issue "Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG" : 33 Documents clear
Coronavirus Disease (COVID-19): Reviews, Applications, and Current Status Tanweer Alam; Shamimul Qamar
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.v5i3.6563

Abstract

Presently, the COVID‐19 has directly affected the lives of millions of people. COVID-19 disease symptoms are involving fever, malaise, chest infection, and breathing difficulties, were recognized. The existence of these symptoms is continuously becoming recognized. World Health Organization (WHO) had mentioned the wide diagnostics test besides COVID-19 that would also assist medical facilities to recognize infectious diseases as well as currently focusing efficiently on preventing and afterward defeating these kinds of viral diseases. Infections are usually transmitted among human beings in direct contact, greatest through the liquid bubbles generated through speaking coughing or sneezing. Throughout this paper, the authors review the COVID 19 pandemic, its history, current updates, contact tracing applications, and use of emerging technologies like the Internet of Things (IoT) and Blockchain for stopping the spreading. These emerging technologies provide services online to the patient from a long distance in real-time.
Penerapan Payment Gateway pada Aplikasi Marketplace Waroeng Mahasiswa Menggunakan Midtrans Al Fian; Petrus Sokibi; Lena Magdalena
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.v5i3.6719

Abstract

Catur Insan Cendekia University is one of the universities in Cirebon City which is based on technology and management. As an educational institution that has a technopreneur campus slogan, many Catur Insan Cendekia University students have implemented entrepreneurship courses and have developed into new entrepreneurial owners scattered on various social media. However, due to limited space and marketing reach in the campus area, many academicians do not see the product / service offerings made by Catur Insan Cendekia University students. So a work program called Waroeng Mahasiswa was launched by BKM CIC with the aim of being a space for students to market their products / services in the Catur Insan Cendekia University campus area. The Waroeng Mahasiswa work program will be developed into a web-based marketplace application made using the PHP programming language. This marketplace application will also be equipped with an online payment system that is integrated with Midtrans as a payment gateway service provider to make the transaction process faster, easier and more practical.
Pendeteksi Gerakan Menggunakan Sensor PIR untuk Sistem Keamanan di Ruang Kamar Berbasis SMS Ruuhwan Ruuhwan; Randi Rizal; Rizal Kurniawan
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.v5i3.5706

Abstract

Room safety is very important considering that the crime scene is very disturbing to the public, one of which is the usual theft case. This might be caused partly because of economic factors that cause people to sometimes take shortcuts to make ends meet by stealing. So the PIR sensor sensor tool was made to detect human movements making it easier for us to control security when leaving a room empty, the media used is Mobile, by utilizing SMS facilities. The purpose of this research is the implementation of the PIR sensor as a detector of human motion in a room based on sms. This tool consists of a sensor that is a pir sensor as a detector of human motion around, and the bazzer will sound every time there is a movement that is captured by a pir sensor, a GPRS Shield which has a sim card inside that works to send SMS. This type of research used is qualitative research with experimental methods, namely by conducting a cona test (trial and error) for mechanical and electronic design components of the hadware and trying to explain. From this research produced information provider using two KC7738 PIR-based SMS sensors can be applied by the public so that they can provide information when leaving a room empty.
Analisis Optimasi Algoritma Klasifikasi Support Vector Machine, Decision Trees, dan Neural Network Menggunakan Adaboost dan Bagging Agus Heri Yunial
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.v5i3.6609

Abstract

The accuracy value of a classification algorithm shows whether the algorithm is good or not in classifying data which can affect the results of the classification method in data mining processing. In this study, the author will analyze the effect of optimization using the adaboost and bagging methods on the results of the classification algorithm accuracy value on support vector machines, decision trees, and neural networks. This study uses a software in data mining processing that is using the Weka application version 3.8.1. The test method used was a percentage split of 70%. In this study, the results show that adaboost optimization can increase the accuracy value of the support vector machine algorithm from 88.93% to 89.10%, decision trees from 90.24% to 90.36%, and neural network from 88.53% to 88.61%, while bagging optimization can only increase Algortima decision trees become 90.55%, and the neural network becomes 90.38%, because the accuracy value of the support vector machine algorithm is the same as the accuracy value of bagging, which is 88.93%.
Sistem Pendukung Keputusan Menentukan Prioritas Tujuan Wisata Daerah pada Kabupaten Karo dengan Metode TOPSIS Jimmi Herdianda Gurusinga; Bosker Sinaga; Anita Sindar RM Sinaga
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.v5i3.6656

Abstract

There are approximately 20 tourist objects in the Karo Regency area that are close to each other, such as Gundaling Hill, Lumbini Nature Park, Fun Land Mickey Holiday and other places. The main problem is designing a system using the SPK in determining the priority of regional tourist destinations in Karo Regency using the TOPSIS method. Problem solving steps are carried out from problem identification, determining alternative solutions to problems that arise so that the best decisions can be made. The weight of the criteria to determine the preferred criteria. The greater the weight, the more priority. Weights for each criteria for determining priority destination of tourist attractions, Distance from Berastagi (weight 30%), Facilities and Facilities (weight 15%), Access (15%), Type of Tourism (weight 20%), Entrance Fee (Weight 15%), Culinary (weight 5%), and internet network (5%). The preference value (V) produces alternatives that are ordered from largest to smallest. The biggest preference is tourism priority, in this case Kubu Berastagi Hill becomes a priority destination based on criteria.
Sentimen Analisis Komentar Toxic pada Grup Facebook Game Online Menggunakan Klasifikasi Naïve Bayes Renaldy Permana Sidiq; Budi Arif Dermawan; Yuyun Umaidah
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.v5i3.6571

Abstract

Toxic comments are comments made by social media users that contain expressions of hatred, condescension, threatening, and insulting. Social media users who are on average still teenagers with a nature that still cannot be controlled completely becomes a matter of great concern when they comment, their comments can be studied as text processing. Sentiment analysis can be used as a solution to identifying toxic comments by dividing them into two classifications. Where the data used amounted to 1,500 taken from social media Facebook in the private group Arena of Valor community. The dataset is divided into 2 classes: toxic and non-toxic. This research uses Naive Bayes with TF-IDF transformation and Information Gain feature selection and use distribution ratio 80:20. It will be compared the results of the evaluation where Naive Bayes without transformation, using TF-IDF transformation, and TF-IDF using Information Gain feature selection. The results of the comparison of evaluations from confusion matrix that have been carried out obtained the best classification model is to use the ratio of training and testing data 80:20 with TF-IDF transformation resulting in an accuracy of 75%, precision of 63%, recall of 67%, and F-measure of 64%.
Perkembangan Gamification dan Dampak Game Online terhadap Jiwa Manusia di Kota Pintar DKI Jakarta Nur Kumala Dewi; Arman Syah Putra
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.v5i3.6674

Abstract

In this study, online games are a research problem that is raised, by raising all things in online games, the author wants to know the impact of online games that have been troubling society and the results of this study are suggestions that will make the basic ingredients of decision making in terms of online games has troubled all levels of society. This research method uses literature review and field review, with the two process methods used it will produce valid research, with research based on previous research, the research will be more renewable, and research carried out in the field will find out the problems in the field. There have been many studies discussing the effect of online games, and in this study discussing the impact on the human psyche. In this study, researchers took data from many parties who were deemed necessary, and made the basis of their research. This research will produce suggestions and proposals that will be applied in a smart city in making a policy in an online application that is troubling the public.
Efektifitas Sistem Jalan Underpass untuk Kota Pintar DKI Jakarta Arman Syah Putra
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.v5i3.6673

Abstract

This study discusses the effectiveness of the Underpass at the red light of Jalan Kramat Kebayoran Lama, South Jakarta, with the builder of the Underpass at the red light at Jalan Kramat Kebayoran, South Jakarta, DKI Jakarta. people come home from work, or in the morning and evening between 07:00 - 10:00 until 16:00 - 19:00, the method used is first by conducting a literature review or literature review study and second by conducting a field study, with doing a literature review then we will get problems from previous studies, with the review of literature can also add knowledge in the matter under study, then by field studies by looking directly at the place under study in order to retrieve accurate data. This underpass is very useful for residents to make it easy to cross to other areas without having to rotate far. In this research, we can find out the effectiveness of the Underpass at the red light of the old Jakarta Kebayoran Kramat Street, Jakarta. Underpas will change the activities of the surrounding community, for example by crossing the road will be further, and can find out what problems can be solved.
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.
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.

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