cover
Contact Name
Asep Erlan Maulana
Contact Email
dosen02716@unpam.ac.id
Phone
+6281299366151
Journal Mail Official
jiup@unpam.ac.id
Editorial Address
Ruang Gugus Mutu Fakultas Ilmu Komputer Universitas Pamulang - Kampus Viktor Lt. 3 Jalan Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia
Location
Kota tangerang selatan,
Banten
INDONESIA
Jurnal Informatika Universitas Pamulang
Published by Universitas Pamulang
ISSN : 25411004     EISSN : 26224615     DOI : https://doi.org/10.32493
Core Subject : Science,
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
Articles 625 Documents
Implementasi Augmented Reality pada Mata Pelajaran Komputer dan Jaringan Dasar di SMK Nufa Citra Mandiri Berbasis Android Bobi Agustian; Muhamad Yasser Arafat
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.v5i4.8181

Abstract

In the process of teaching and learning activities in schools, there are still many that only use learning media in the form of books. This causes boredom in the learning process. Especially in basic computer and network subjects, where in this subject there is a lot of visual recognition and developing forms of technology. Good visual presentation is very important to support the learning process. Augmented Reality (AR) is a learning medium that is currently still being used in the teaching and learning process. AR is an application that combines the real world with the virtual world in two-dimensional or three-dimensional forms which are projected in a real environment at the same time. AR technology is very appropriate to be implemented to support the visualization process in learning activities, because it can present visualization in 3-dimensional form. So that the visualization is more interactive and more interesting. In the learning process at SMK Nufa Citra Mandir, they still rely on books only, especially in computer and basic network subjects which really need visualization of the devices discussed. The application of AR technology to basic computer and network subjects at SMK Nufa Citra Mandiri is expected to help in the learning process. In its development, the design method used is the Extreme Programming (XP). Purpose of this research is to create software with AR technology on Android platform, so that students can better understand and get to know computer tools and computer network devices contained in basic computer and network subjects.
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%.
Perancangan Aplikasi Sistem Informasi Geotrack Administrasi Surat Berbasis Website Stepanus Pande Abednigo; Anita Muliawati; Bambang Tri Wahyono
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.v5i4.6780

Abstract

This research was conducted to find out how the management process that covers sending sample letters and follow-up letter dispositions at PT Aneka Tambang Tbk's work unit, Geomin Unit to improve the effectiveness of inter-work unit coordination. This research is also motivated by the problem of an ineffective system that monitors the progress of sample analysis. Because in its development, coordination between the laboratory and the team is carried out not computerized. Coordination is not computerized by contacting the relevant parties via private chat, telephone or email. In designing this application using the Waterfall method. The programming languages are HTML and PHP. For Framework using Bootstrap, and for the database using MySQL. Supporting applications used are XAMPP, Sublime Text, and PhpMyAdmin. The final result of this research is a website-based monitoring and tracking application for mail management. It can be concluded that the design of this application provides many benefits in the process of managing letter data, especially in PT Aneka Tambang Tbk, Geomin Unit.
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.
Pemilihan Daerah Penerima Bantuan Logistik Menggunakan Metode Simple Additive Weighting (SAW) Iis Juniarto; Ady Widjaja
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.v5i4.8315

Abstract

Deputy for Logistics and Equipment is a unit that handles requests for logistical assistance along with equipment in areas that need assistance related to disasters that occur. Provision of Logistics Assistance so far there are still some obstacles including the process of calculating each region that proposes logistics assistance is done with a simple calculation and using microsoft excell and aspects calculated only based on disaster-prone categories without taking into account other aspects. So that areas that really deserve logistical assistance become unable to get help. The solution to the problem is to use Simple Additive Weighting (SAW) algorithm that is applied to a decision support system. The results of the study in the form of a decision support system and the results of the system output showed that the recipient area was Aceh which was chosen with a score of 81.17.
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%.
Perbandingan Kinerja Algoritma Klasifikasi Naive Bayes, Support Vector Machine (SVM), dan Random Forest untuk Prediksi Ketidakhadiran di Tempat Kerja Hiya Nalatissifa; Windu Gata; Sri Diantika; Khoirun Nisa
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.v5i4.7575

Abstract

Absence is a problem for the company. Absenteeism is defined as a task that is assigned to an individual, but the individual cannot complete the task when he is not present. Absence from work is influenced by many factors, including mismatched working hours, job demand and other factors such as serious accidents / illness, low morale, poor working conditions, boredom, lack of supervision, personal problems, insufficient nutrition, transportation problems, stress, workload, and dissatisfaction. The purpose of this study is to predict absenteeism at work based on the Absenteeism at work dataset obtained from the UCI Machine Learning repository site using the Weka 3.8 application and the Naïve Bayes algorithm, Support Vector Machine (SVM), and Random Forest. In the results of the study, the Random Forest algorithm obtained the highest accuracy, precision, and recall values compared to the Naïve Bayes and SVM algorithms, which resulted in an accuracy value of 99.38%, 99.42% precision and a recall of 99.39%.
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.
Sistem Status Kelaikudaraan Pesawat Udara Berbasis Website Menggunakan Framework CodeIgniter dan PostgreSQL dengan Metode Prototype Abdul Aziz; Ildefonsa Anna Fransiska Nahak; Irma Rismayanti; Aries Asrianto Ramadian; Danartomo Kusumoaji; Nurul Lailatul Muzayadah; Rudi Choirul Anwar
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.v5i4.7470

Abstract

In aircraft operation, maintenance must always be carried out so that the aircraft meets airworthiness standards in order to meet flight safety, in which maintenance is carried out on aircraft components on a regular basis. The problem that exists today is that there is frequent damage to the aircraft without any known cause, even when the aircraft is flown which results in the plane crashing and experiencing severe damage until it can no longer be used. This condition is due to the absence of a system that can monitor the aircraft maintenance process, so that the components of the aircraft used to be flown cannot be known whether it is airworthy or not. The solution to overcome this problem is by building a website-based system. The system was built using the CodeIgniter framework and PostgreSQL as its database. Meanwhile, for system development using the Prototype method. Through this system the aircraft maintenance process can be carried out according to the existing schedule.
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.

Filter by Year

2016 2025


Filter By Issues
All Issue Vol 10 No 3 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 10 No 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 10 No 1 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 9 No 2 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8 No 4 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8 No 3 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8, No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8 No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8 No 1 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 8, No 1 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7, No 4 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7, No 3 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7 No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 7 No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 6 No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 6, No 2 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 6, No 1 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 5, No 2 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 5, No 1 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 4, No 4 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 4, No 3 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 4, No 1 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 3, No 4 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 3, No 3 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 3, No 2 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 3, No 1 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 2, No 4 (2017): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 2, No 3 (2017): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 2, No 2 (2017): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 2, No 1 (2017): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 1, No 2 (2016): JURNAL INFORMATIKA UNIVERSITAS PAMULANG Vol 1, No 1 (2016): JURNAL INFORMATIKA UNIVERSITAS PAMULANG More Issue