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
Cover Jurnal Informatika Universitas Pamulang Vol. 6 No. 3 September 2021 Manager, Journal
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.v6i3.18994

Abstract

K-Means Algorithm in Grouping Central Civil Servants by Agencies and Groups in Pematangsiantar Siahaan, Septri Wanti; Gunawan, Indra
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.v6i4.14122

Abstract

Civil Servants (PNS) are Indonesian citizens who have certain conditions and are given the mandate to be a State Civil Apparatus on a permanent basis and are not bound by a contract to carry out their assigned duties and positions. There is a view that states that civil servants have useful guarantees in the future and there is no contract system in work. Each government has civil servants with different groups. This study aims to group the central civil servants according to agencies and groups in Pematangsiantar. In completing this research, it was carried out using the k-means algorithm. The data used in the study came from the Central Statistics Agency (BPS) by processing the data into 3 clusters, namely high, medium, and low. The results of this study indicate that the k-means algorithm can be applied in determining the grouping of Central Civil Servants by Agencies and Groups in Pematangsiantar with the results that 1 item is high (C1), 4 items are medium (C2), and 21 items are low (C3).
Penerapan Sistem Presensi Online pada Mahasiswa Berbasis Face Recognition dengan Metode Eigenface Nisa, Aenun; Ramdani, Dandi; Haryanto, Galih; Maeylani, Winni; Saifudin, Aries; Desyani, Teti
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.v6i3.11855

Abstract

At first attendance was done manually by recording students one by one based on a list of student data. This can be time consuming in the process of registering student attendance lists. From these problems, the author will create an online presence system based on facial image recognition (Face Recognition) using the Eigenface Method which is based on the PCA (Principal Component Analysis) algorithm. By using this online presence, it will make it easier to do attendance because it is already using technology. This method is expected to reduce fraud during absenteeism. This system will be implemented among students to facilitate their absence.
Identifikasi SMS Spam Menggunakan Metode Naive Bayes Wahid, Abd; Baharulloh, Muhammad; Kahfiansyah, Raihan; Abrilianto, Taufik; Saifudin, Aries; Mulyati, Sri
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.v6i3.11558

Abstract

SMS (Short Message Service) or what we know as short message service, the use of SMS is still widely used among smartphone users. This short message service was created as a means of communication media that can be used to send digital messages to the people we want to address, just like sending regular messages, SMS users must have the intended address using the user's phone number. More and more SMS users, this is misused by irresponsible parties, one of the most common crimes committed by using short messages is a fraud that often occurs in the community, pornographic messages and besides that SMS spam is also very disturbing to the recipient. Identifying spam messages can be done by creating a filter on the message. The method used in this study uses the Naive Bayes algorithm by analyzing the words contained in the message to identify spam on spam services on smartphones.
Pengembangan Aplikasi Android Tentang Hubungan Perencanan Karir dan Mata Kuliah (Studi Kasus STMIK Insan Pembangunan) Haryanto, Budi; Budiadnyana, Gusti Nyoman
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.v6i4.13207

Abstract

The large number of prospective college students and new college students who do not know the relationship between courses and the skills needed in the world of work, causes college students to study at a minimum. Many college students also do not know the relationship between courses and courses that will be taken in the future, making students passive and unprepared when taking courses. There are also students who even just found out that they took the wrong major. This study is intended to provide an overview for prospective students and early students to find out the relationship between courses and careers in the world of work. It is hoped that the final results of this research will be able to provide direction for students to be more serious when taking courses and find out the skills that must be mastered in facing the challenges of the world of work according to their interests and desired career. the other result is to reduce students who drop out in the middle of the road because they do not know the importance of education to build a career.
Implementasi Metode Behavioural Scoring untuk Perancangan Sistem Penilaian Pembayaran Kredit Konsumen Hurnaningsih, Hurnaningsih; Julisawati, Elly Agustina
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.v6i3.10043

Abstract

PT. Sinar Indo Lestari is a company engaged in real estate development that has problems on its customer’s payment management specifically its sales department admin. Some of the encountered problems are Difficulty in finding customers whose payments are already overdue, inability to easily view Accounts Receivable value of customer’s down payment, difficulty in policy making, manual inputs are still required to build Accounts Receivable reports. Methods that approach problems in payment use Behavioral Scoring method approach. This method will help in decision making that payment punctuality of a customer is going to have an impact on 'cash bertahap' policy that will be given. 'Cash bertahap' policy will be given through performance score throughout customers' down payment period.
Sistem Pendukung Keputusan untuk Menentukan Pemberian Beasiswa Menggunakan Metode Simple Additive Weighting (SAW) pada Sekolah MTs Mathlaul Anwar Winarti, Wiwin; Nurhayati, Nurhayati; Vindua, Raditia
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.v6i4.12720

Abstract

Scholarship means an assistance given to individuals (students) which aims to be used for the continuation of the education taken. Every year, MTS Mathlaul Anwar provides scholarships to outstanding students. The current selection of scholarships, which is still done manually, makes schools need to determine a clear way of calculating which students get the right scholarships so that the scholarships given are right on target. Therefore, a Decision Support System (SPK) application is designed which is expected to be able to determine scholarship recipients according to the qualifications determined by the school. SPK is expected to help select scholarship recipients. The existence of the proposed SPK can help schools in the selection process for scholarships easily, quickly and accurately. In this study, the author uses the Simple Additive Weighting (SAW) method which can provide assessment results based on each weight on each scholarship award qualification. The criteria for awarding scholarships are the value of knowledge, the value of skills, activeness in school activities (ex-curricular activities), attendance and morals. By making a decision support system by applying the SAW method, it is easier for schools to determine students who get scholarships. Of the five selected scholarship recipients, student D was found to be in the first rank with a result of 14.25.
Implementasi MADM TOPSIS dalam Pemilihan Karyawan Baru pada PT Arthawenasakti Gemilang Berbasis Web Septarini, Ri Sabti; Taufiq, Rohmat; Handayani, Nurdiana; Asy’arie, Zain Ibrahim
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.v6i4.14428

Abstract

Recruiting new employees is the process of selecting potential employees to attract talented employees who will join the company later. Improve your company's productivity by hiring new employees who meet your company's standards. In addition to the development of information and communication technology, it is considered necessary to use a decision support system for recruiting new employees to facilitate the management process in the selection of new employees. One of the decision support system methods that can be used in the potential employee selection process is the Order Preference Method (TOPSIS), which resembles an ideal solution. In this study, we developed system applications using PIECES system analysis techniques, system development techniques using waterfall models using Unified Modeling Language (UML) models, application development using Sublime, and devices using black boxes. Describes the test. The end result of hiring an employee using a decision support system provides managers with hiring recommendations and is already available as a web-based hiring system.
Pengembangan Aplikasi Rental Mobil Berbasis Web Menggunakan Model Agile di CV. Endang Jaya Humaedi, Dedi; Ferizal, Ferizal; Putra, Alvin Pratama; Saifudin, Aries; 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.v6i3.12144

Abstract

In the current era of globalization, car or motorcycle rental service providers are now widely found in various parts of the city and the role of the internet is very important to convey accurate and efficient information, CV Endang Jaya is a car rental service provider located in Tangerang Regency. In delivering information, CV Endang Jaya has used a web-based information system that provides information about car rental prices and types of cars for rent, of course the system requires the development of a computerized system, for example in the transaction process, the availability of cars because customers are often disappointed with the unavailability of the car to be purchased. for rent because there is no available information system, the Software Development Method used is Agile. With the development of this web-based car rental application, it is hoped that the company owner can solve the problems that are currently happening. So that it can make it easier to find out the availability of the car.
Perancangan Aplikasi Chatbot Menggunakan Wit.Ai pada Sistem SPP-IRT Berbasis Web Alfiat, Bagus Fatwan; Eosina, Puspa; Al Ikhsan, Safaruddin Hidayat
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.v6i4.13327

Abstract

SPP-IRT is a system of BPOM agencies that implements consulting services for users who are applied using live chat.  Judging from the SPP-IRT live chat administrator, there were 254 unserved messages out of 665 messages, and included out-of-hours incoming messages. Judging from the data, SPP-IRT live chat has quite dense traffic. Therefore, it is necessary to create a chatbot that is able to answer questions automatically. Chatbots are designed to be able to communicate with humans using Natural Language Processing (NLP). This chatbot is built with Node.Js and leverages Wi.ai for a knowledge base. Wit.ai is a machine built with NLP. The steps taken in this research start from data collection, analysis, knowledge base design, system design, program creation, testing and  system application. This research data was obtained from SPP-IRT related FAQs. The results obtained that chatbots are able to provide diverse responses in accordance with data that has been trained and validated through Wit.ai.

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