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Contact Name
Asep Erlan Maulana
Contact Email
dosen02716@unpam.ac.id
Phone
+6281299366151
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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 634 Documents
Perancangan Sistem Kontrol Optik Berbasis Mikrokontroler Arduino Uno R3 dengan Sensor Suara Arfira Trisna Devi; Arif Fiansyah; Arinda Chintya Sari; Nanda Risky Maulana; Aries Saifudin; Yulianti Yulianti
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.11948

Abstract

In today's all-digital era, science, technology and science have brought a lot of progress in various aspects of people's lives, one of which is in the electronic field, namely electronic voice commands. The electronic voice command system can be made as a smart home control system. This system allows a person to control sound wave devices, many electronics today use only sound to use them without anyone moving, turning on or off devices, such as lights. When the user will turn on the light using sound waves, the audio sensor sends an input signal to the microcontroller and processes the microcontroller output as a voltage to turn on the load and turn on the system. When the FC0 sound sensor receives an audio input (beep code) as a clap, a value of 1 is accumulated on the Arduino and a value greater than 00mm is used as a 5V output to be turned on according to the program loaded down. When the light is on or off, the FC0 sound sensor can only provide 1s and 0s digital output signals. Adjust the sensitivity of the acoustic sensor or the noise level of the room to light a specific set of lights.
Klasterisasi Pengunjung Mall untuk Menentukan Target Pasar Ponsel Terbaru Menggunakan Algoritma K-Means Clustering Irvansah Satria Pamungkas; Dhimas Maulana Hadi; Gilang Aditya; Rosyidah Astari Nur; Aries Saifudin; Teti Desyani
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.11629

Abstract

Every day there are always people who visit the mall with different needs, there are some people who visit the mall to buy cell phones that have the latest features to make them look more updated, some just look around and some are not recommend to buy a new one because he still thinks his phone can still be used. To overcome this, electronic goods sales shops, especially those selling cellphones, need an analysis when they want to sell the latest products. They can group those people with expenditure information and their stages using the Kmeans Clustering algorithm. The results of these people will be divided into several clusters, namely people who will buy, people who might buy or people who will not buy, so when these cellphone distributors want to sell the latest cellphones, they will know how many people have the opportunity to buy the cellphone.
Analisis Sentimen terhadap Layanan Indihome di Twitter dengan Metode Machine Learning Rani Puspita; Agus Widodo
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.13247

Abstract

Indihome is a digital service such as the internet that can be used at home, landlines and interactive TV. However, because it is so extensive, Indihome has received a lot of criticism because the internet connection is rarely stable. Therefore, a sentiment analysis in the field of was carried out data mining on customers Indihomeon Twitter social media which consisted of 1350 data and filtered into 1309 data because a lot of data indicated duplicates. In this study, researchers used the methods Random Forest and Gradient Boosted Trees (GBT). This research was conducted using tools Rapidminer version 9.8. Research shows that sentiment analysis on Indihome services using the method Random Forest achieves an accuracy of 99.54% with class precision for pred. negative is 99.92%, pred positive is 25.00%, and pred. neutral is 60.00%. Then the GBT method has an accuracy rate of 99.31% with a precision class ofn for pred. negative is 99.46%, pred. positive is 0.00%, and pred. neutral is 0.00%. So it can be concluded that the Random Forest method is a better method when compared to GBT.
Aplikasi Pemrograman Java untuk Manajemen Pengelolaan STNK di PT BCA Finance Cabang Pondok Indah Sutarno Sutarno; Kokoy Rokoyah
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.10200

Abstract

STNK data processing activities at the SAMSAT Office are the subject of this study specifically discussing various obstacles faced in managing STNK extensions. This research activity was conducted to discuss the problems that exist in PT. BCA Finance regarding STNK lending activities by customers when extending STNK. The obstacle for most customers who have busy work, place of residence and long distances is difficult to carry out the STNK renewal process because they have to return to SAMSAT. Certificate from PT. BCA Finance for customers should be able to help extend the STNK. Administration at PT BCA Finance should be easier in managing data. Researchers are trying to design a good system by designing the system it takes the right steps. The design stages are with the help of graphic diagrams such as ERD (Entity Relationship Diagram), normalization, data base structure. This application design answers the old system which still uses the conventional registration system where this system causes several shortcomings in the renewal management system. The results of this study provide solutions to the main problems that exist in PT BCA Finance in managing the STNK renewal process for customers.
Sistem Informasi Persebaran Penyakit Demam Berdarah di Kota Madiun Menggunakan Algoritma K-Means Gita Lely Endika Putri; Ida Widaningrum; Dyah Mustikasari
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.12791

Abstract

One type of disease that often causes extraordinary events (KLB) in Indonesia is dengue fever. This also happened in Madiun City, one of the areas where the spread of Dengue Fever has consistently grown rapidly. Information obtained from the Madiun City Health and Family Planning Office from 2013 to 2020 shows that in 2020 there was a remarkable increase after experiencing a decline in 2017. The process of direct socialization to the community is still difficult, and there is no web-based mapping of the spread of dengue fever in Madiun. Therefore, this study builds a web-based geographic information system for the spread of dengue fever using PHP and SQL. It is hoped that this geographic information system can help related parties to make it easier to convey information about the spread of dengue fever, especially within the Madiun City area, and as an effort to anticipate the expansion of its distribution area. The identification of regional groups in this system is divided into categories, namely Endemic, Sporadic, Potential, and Free. Grouping, using clustering method based on K-Means logic. The result is that the geographic information system can display a map of the distribution of dengue fever in Madiun City. There is one kelurahan with Potential status, 14 kelurahan with Sporadic status, and 12 kelurahan with Endemic status.
Rancangan Sistem Informasi Penjualan Pakaian Muslimah Berbasis Android di Toko Andiza Muhammad Rizky Alrazyd; Aries Saifudin
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.15266

Abstract

The current state of stores offering products in the traditional way is that consumers come to the seller to see what they have to offer. This problem is a big stumbling block to sales. With increasing quality, reputation increases and is good in the eyes of customers who sell clothes, so it is necessary to consider the quality of the product to be produced. The problems that occur in shops are still using the traditional way of serving consumers, so there is no solution designed to help sellers sell their products throughout Indonesia. The proposed system method used in this study includes the creation of Android-based software using the Kotlin and Java programming languages, design, code generation, and black-box testing methods. The results of several system methods used are very good from design to testing, but there are several features that must be developed by the seller to make it easier for buyers to get the product they want.
Sequential Pattern Mining untuk Data Transaksi Penjualan Supermarket menggunakan Algoritm Generalized Sequential Pattern Albert Kurniawan; Ramos Somya
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.12483

Abstract

Online supermarket sales transaction data is a sequence dataset. This data stores purchase transaction data made by customers, so it can be analyzed using Market Basket Analysis (MBA) approach. The problem that is often experienced by supermarkets is the difficulty of implementing the accurate sales strategy to consumers. Based on these problems, this research will analyze the West Superstore supermarket dataset based on the MBA approach. The algorithm used is the Generalized Sequential Pattern (GSP) algorithm, where this algorithm can generate frequent items and sequence patterns, so that the resulting rules can be more accurate. The GSP algorithm in this study is implemented in the Python programming language. The test results show that the output of Python is in accordance with the output of the GSP algorithm calculation. The time required for rule generation in the GSP algorithm also depends on the number of records being used. The more number of sales transactions to be analyzed, it needs longer time in computation. The analysis conducted on the sales dataset at the West Superstore resulted in 391 rules, where these rules can be used by supermarkets to implement their sales strategies.
Factors that Influence the Decision in Using Social-Media as a Media for Buying and Selling Transaction Rinabi Tanamal
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.13899

Abstract

There are many uses of technology and the use of technology used in everyday life. One of the uses of technology is social media, ranging from facebook, Twitter, Instagram and many more. Increased use of social media can change everyone's lifestyle. Facebook is one of the social media that has its own benefits and functions. In this study, examined the part of Facebook where the use of facebook as a buying and selling transaction. The use of facebook as a medium of buying and selling transactions has become commonplace for the people of Indonesia, judging by the data in 2019 facebook users reached 120 million users. The purpose of this research is to find out the influence of variable trust, transaction quality and satisfaction on intention to use. With this, researchers used Structural Equation Modeling-Partial Least Square (SEM-PLS) method as an analysis technique for relation patterns between variables in the study. The results showed that trust has the highest value of relationships or relationships of 0.710 compared to transaction quality and satisfaction. This indicates that the level of trust is very influential on the intention of use and this is usually one of the benchmarks in conducting buying and selling transactions.
Perancangan Kecerdasan Buatan pada NPC Menggunakan UNITY 2D dan Perilakunya terhadap Player Rahmad Danil Fajri; Muhammad Arvy Syahputra; Teuku Raja Muhammad Zaki; Aries Saifudin; Irpan Kusyadi
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.11843

Abstract

The application of artificial intelligence (AI) in a video game is one of the many technological innovations. One variation of 2D-based and offline-based games often applies artificial intelligence to their products to make the games they make interesting. In developing this artificial intelligence, State Machine (SM) is considered very fitting in programming the NPCs used against enemies (Enemy) in the game so that they have variations in movement, attack ranges, and different interaction patterns for each enemy.
Identifikasi Sindrom Turner Menggunakan Metode Bayes Berbasis Mobile Linda Wahyu Widianti; Suyatno Suyatno; Aulia Nurhidayati
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.10887

Abstract

The lack of knowledge about Turner syndrome causes low public awareness of Turner syndrome. This condition makes some people put aside efforts to prevent Turner Syndrome. From this background, this research raises the title of writing, Identification of Turner Syndrome Using Android-Based Bayes Method. This study aims to make it easier for the public to find out about Turner syndrome and the possibility of someone getting Turner syndrome. This study uses two stages, namely the first stage of data collection which consists of literature study, observation. The second stage is to design a system using the System Development Life Cycle method. This study resulted in an application of the Turner Syndrome Expert System using the Android-Based Bayes Method which can make it easier for the public to know about tuner syndrome and the possibility of someone getting Turner syndrome.

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