cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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,
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
 34   35   36   37   38 
Pengembangan Sistem Pemantauan Cryptocurrency Berbasis Web Menggunakan Metode Waterfall Teti Desyani; Aries Saifudin; Hanaan Ridho Altamerano; Sugeng Gunantio; Syahrul Al-Rasyid; Yudha Eka Saputra
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.19724

Abstract

The rapid development in trading activities in the digital era as it is now has made large-scale business actors and individuals follow suit. Various trading activities that were done manually can now be done automatically with the help of various developers who are assisted by an internet connection. So we developed a website-based application to monitor the price of each crypto currency. In this website application we prioritize fast and real monitoring for each crypto coin. That way, trading business people or traders can monitor the prices of crypto coins in real and accurate terms. The purpose of this application is to enable users to monitor or see real-time bitcoin values in Indonesia. The SDLC technique is used to develop and alter systems, and it is grouped into stages such as system planning, system analysis, system design, system implementation, system testing, and system maintenance. This Application Design acts as a container for individual investors to follow the value of cryptocurrencies.
Pengujian Black Box pada Aplikasi Penjualan Toko Bunga Pelangi Berbasis Web Menggunakan Metode Equivalence Partitioning Aries Saifudin; Sri Mulyati; Rizki Gustianto Sidi; Riki Firmansyah Tanjung; Isa Hermawan; Nanda Noverdi Ruziki
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.17523

Abstract

Application or software testing requires validation to determine whether it meets the desired specifications or not. If the validation process is not perfect, it can result in imperfect data stored or processed, for example, such as when we store data in applications or software whose validation process is not perfect, it can result in errors in the data storage process. So the quality of validation must be improved to be accurate so as not to hinder the use of the software. In this study, we use Blackbox testing with the Equivalence Partitioning method, so that weaknesses in the application or software will be known after testing. The system test results show that the test can improve the quality of the application or the software is free from errors.
Penerapan Algoritma Apriori Pada Prediksi Penjualan Tanaman Hias Bromelia (Studi Kasus: Karimah Flora) Mufidah Karimah; Wulan Pahira
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.16135

Abstract

Apriori algorithms are part of the algorithms in data mining which are often used to find data patterns. Apriori algorithms are often used in sales transaction data. In this study, the authors discussed the application of apriori to the prediction of sales of ornamental bromeliads. The author found that one of the problems is often taking care of plants. Of course this reduces the revenue at the Karimah Flora shop. From these problems the authors conducted research on sales transaction data in the last 3 months of 2020, namely August, September and October. Then the authors collect data on the sale of ornamental plants bromeliads which will then be calculated by applying the a priori algorithm formula. The calculation determines which of the 21 types of ornamental plants bromeliads will be studied, after which the authors conduct an analysis for order combination patterns of up to 4-itemsets, so that they can form an association rule. By applying the algorithm in this study, it produces a combination of ornamental bromeliads to attract consumers to buy promotional packages offered according to the pattern.
Daftar Isi Jurnal Informatika Universitas Pamulang Vol. 7 No. 1 Maret 2022 Journal Manager
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.22191

Abstract

Pengembangan Aplikasi Nilai Rapor Digital Yayasan Gerai Yatim Dhuafa Berbasis Web Menggunakan Metode Waterfall Irpan Kusyadi; Endar Nirmala; Mohammad Kevin Putra Adiyaksa; Alexius Grennantoro; Eltyes Michael Efata Zebua; Rivansyah Rivansyah
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.19541

Abstract

At the Yayasan Gerai Yatim Dhuafa, every semester that has been running, there will be a time when parents and their children receive the results of learning for one semester through the media of report cards. The report card is usually written using a pen/marker filled in by th­­e teaching teacher. When filling out report cards, there are usually some difficulties that occur, such as typos, scribbles, out of markers, and so on. This paper is made to formulate these problems with the aim of making an application that can solve the problems that still occur today. The application that will be made is expected to be able to complete and make it easier for teachers to fill in the values of student learning outcomes.
Analisis Kebakaran pada Hutan dan Lokasi Lahan di Provinsi Riau Menggunakan Metode C4.5 Nalda Kresimo Negoro; Mardiana Mardiana; M. Izul Ula; Fajar Dwi Insani
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.17176

Abstract

Data mining is a step of the process that is useful and necessary to analyze the data that has been obtained from a particular situation with mathematical calculations. A decision tree (decision tree) is an algorithm that is widely used in data mining classification. One of the algorithms that can help produce decision tree outputs is the C4.5 algorithm. Data mining consists of preprocessing, evaluating patterns, and presenting knowledge from an application. The dataset used in forest fires is taken from the BMKG website and classified according to its attributes so that the data can be processed to produce output for decision-making. The classification process used to process datasets with specific methods can predict events such as weather forecasts and traffic jams to predict natural disasters. Forest fires are very detrimental disasters because they can pollute the environment, interfere with health such as breathing and vision, and weaken the economy of a region. This study aims to apply the C4.5 algorithm, which can analyze and predict forest fires in the Riau province. The implementation of the C.45 algorithm method with an average value attribute has an accuracy value of 92.54% and a decision tree, which is an accuracy value of 99.2% with an equation test and test results with a confusion matrix.
Rice Price Prediction System Based on Rice Quality and Milling Level using Multilayer Perceptron Nur Nafi'iyah; Muchammad Khudori
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.15326

Abstract

Bacpropagation algorithm is a neural network algorithm that has good performance. In addition to Backpropagation, SVM also includes a neural network algorithm. SVM also has a good performance in making predictions. This is based on previous research related to rice price predictions. During the COVID-19 pandemic, the government is obliged to maintain the stability of the price of basic necessities or basic commodities, the reason is to maintain the availability of basic commodities. Based on the conditions in the field, this research will create a rice price prediction system based on the type of rice quality at the milling level. The purpose of this research is to help stabilize rice prices in the market. The method used to predict is Backpropagation by proposing 2 architectures, namely 3-25-1, and 3-35-1. The dataset used is taken from bps.go.id, the total dataset is 318, and the method of evaluating the prediction results is using the MAE value. Based on the trial the lowest MAE value is 305.93 in the first architecture 3-25-1.
Pengembangan Sistem Aplikasi Penerimaan Siswa Baru di Madrasah Ibtida’iyah AL-Falahiyah Berbasis Desktop dengan Menggunakan IDE Netbeans Muhammad Ivan Prayogi Nugroho; Aries Saifudin
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.20610

Abstract

This development information technology makes it easy for us to get, process and present information. The information referred to is for example the collection and processing of data to provide information. One application of information technology is the development of new student admission applications in schools. With the development of this application, it can make it easier for school admins to document the data needed or used in schools. This information data can be taken from filling out forms and or voice recordings which will later be input into the computer application system that will be developed at this time. The application development method used is the Waterfall Method, which has an understanding of the earliest software development method and this method has a natural nature. This meetode has several sequences that must be completed in its entirety, the sequence is the Planning/Planning Process, Analysis, Design, Implementation and Application Testing. If it is described in more detail, the steps that must be passed are a systematic approach to get a good plan, leading to the analysis, design, conditioning, testing/verification and maintenance/maintenance stages. The steps contained in the waterfall method must be passed and completed one by one (cannot jump to the next stage if the stages have not been completed) and run sequentially. This serves to ensure that the quality of the applications obtained can produce and provide good system applications. Application development for new student admissions at this school can have a good impact on the school administration system, such as making it easier for school admins to search for detailed teacher and student biodata. at the school, the grouping of new students into several classes, setting the schedule for school subjects per grade level, to providing grade values from the results of the per-student learning scores of each subject in the school.
Pengujian Aplikasi Sistem Informasi Akademik Berbasis Website Menggunakan Teknik Equivalence Partitioning dan Metode Black Box Yulianti Yulianti; Teti Desyani; Redo Ramadhan Chaniago; Hadi Iswanto; Eko Suroso; Taufik Surya Hermanto
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.17528

Abstract

This academic information system still has shortcomings in the data validation process, which will cause the data stored in the database not to match the desired data. Then it is proposed to test using the Black Box method with Equivalence Partitioning Techniques as a whole regarding the use, benefits, and results obtained from using the software. Black-box testing is a very important testing technique because it can identify errors in functions, interfaces, sample data, and access to external data sources. in implementation there are sometimes problems with testers who are not sure whether the software actually passes the test. in this implementation, the software that will be tested using black box testing is a website-based academic information system. Equivalence Partitioning Techniques discusses testing in the validation aspect of input data in terms of valid classes. From this research, it can be concluded that testing the level of accuracy of academic issues system software can provide the right solution for the school.
Pengujian Black Box pada Aplikasi Penjualan Berbasis Web Menggunakan Metode Equivalence Partitioning Teti Desyani; Endar Nirmala; Andi Lisdiarto; Hairul Ridwan; Raden Wirawan Kukuh Pambudi; Vyka Septiani
Jurnal Informatika Universitas Pamulang Vol 7, No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.16194

Abstract

In a program or software certainly has some shortcomings in terms of comfort and accuracy to the needs of users (users), such as errors in user appearance, as well as effectiveness in the use of programs. Therefore, a way is needed to be able to fix the deficiency, by testing the program before it is used to the user. And the test is one way to determine whether a software has met the needs of users and specifications or still does not meet. If there is no checking process first, it can cause data error. With these problems, of course, it will hinder the use of the application. Therefore, the validation process is very considered. An application can be said to be of quality if it has gone through the testing stage. In the above, we conducted a blackbox test using the Equivalence Partitioning method, which can be interpreted as solving or dividing a program in the form of a domain that is entered into a data class in order to get a test case. Using this method, we earned quite varied points to test web application sales. The test in question includes things such as the design of the test scenario, the determination of the data to be tested, the test trial, the range of values, the determination of program functionality, conformity with existing databases, the results of documented research, to the conclusions obtained. The conclusion of testing using this method is that this application can run properly by meeting the criteria that meet the user's needs.

Page 36 of 63 | Total Record : 625

 34   35   36   37   38 

Filter by Year

2016 2025


Reset
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