cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Syaifudin
Contact Email
jurnal_intelmatics@trisakti.ac.id
Phone
+628129513950
Journal Mail Official
jurnal_intelmatics@trisakti.ac.id
Editorial Address
Building E, floor 4, Department of Informatics Engineering, Universitas Trisakti
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Intelmatics
Published by Universitas Trisakti
ISSN : -     EISSN : 27758850     DOI : https://doi.org/10.25105/itm
Core Subject : Science,
Computer Science & IT
The IntelMatics Journal is a scientific journal published by the department of informatics engineering at Trisakti University. The purpose and objective of the publication of the IntelMatics journal are as a means of dissemination of international standard science in the field of software engineering, information security, and business analysis in the scope of data intelligence and visualization. Journal will be published every sixth month
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 72 Documents
 1   2   3   4   5 
Visualization of Covid 19 Information in Banten Province Based on Android Yusuf Al Khairi; Ahmad Zuhdi; Ratna Shofiati
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.9883

Abstract

Information visualization is a method for delivering information in visual form. Information visualize is vital if information about covid 19 is presented to the public, especially in the Province of Banten. Because the covid-19 virus is still high in the Province of Banten, as well as the lack of information about the spread of the covid-19 virus, there is need for caution so that the number of cases can be suppressed and may not increase. This requires A Covid 19 Information Visualize Android Application To Educate People In The Province Of Banten. So people can find out information about the covid-19 virus case. The application uses waterfall methodology for analysis that will identify the problem, data collection for android based information visualization. The next step is the design to design an android interface system app. Squence diagram, use case, erd (entity relationship diagram), and activity diagram are used for system design diagram. Based on the research from the android based app that will show information's visualization of covid 19.
Perancangan Business Intelligence Data Ketersediaan Obat di Puskesmas Curug Tangerang Mohamad Dimas Budisantoso; Dedy Sugiarto; Teddy Siswanto
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.12451

Abstract

Puskesmas Curug merupakan layanan pusat kesehatan masyarakat yang berlokasi di kecamatan Curug, Kabupaten Tangerang. Sebagai tempat pelayanan kesehatan, maka diperlukan ketersediaan stok obat untuk menjamin proses pelayanan Kesehatan berjalan dengan baik terutama dalam mendapatkan obat di Puskesmas. Namun faktanya di puskesmas sering terjadi jumlah obat mengalami surplus dan defisit stok pada saat periode berjalan. Hal ini dapat memengaruhi kegiatan operasional pelayanan dalam mengelola stok obat-obatan. Maka dari itu, dibutuhkan perancangan Business Intelligence yang mengelola sebuah data kompleks menjadi data yang tervisualisasikan untuk proses peramalan stok obat di periode yang akan datang. Pengolahan data stok obat dsetiap periode dilakukan dengan Proses ETL (Extract, Transform, and Load) menggunakan tools Spoon Pentaho Data Integration. Sedangkan visualisasi data stok obat dari hasil peramalan menggunakan tools Microsoft Power BI dan R Studio, untuk peramalan digunakan metode ARIMA yang memiliki signifikansi kemampuan peramalan yang baik, sebab memiliki MAPE diangka <10%, dan 10 – 20%.
Implementasi Framework Laravel Pada Sistem Tracking Barang Pada Pt Wahana Jaya Logistik Harris Reinhad Simanjuntak; Syaifudin; Teddy Siswanto
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14259

Abstract

Pengiriman barang merupakan salah satu hal yang penting dalam sebuah perusahaan untuk menjaga roda perekonomian perusahaan dan juga menjaga kepercayaan serta kepuasan klien. Salah satu penerapan teknologi yang dapat memantau posisi dan lokasi kendaraan selama proses pengiriman adalah dengan menggunakan GPS pada setiap kendaraan yang melakukan proses pengiriman. GPS (Global Positioning System) adalah suatu sistem navigasi berbasis satelit yang terdiri dari setidaknya 24 satelit. GPS berfungsi dalam segala kondisi cuaca, di manapun lokasi di dunia, 24 jam sehari serta tanpa adanya biaya berlangganan. Dalam penelitian ini metode yang digunakan dalam menganalisis dan merancang sistem adalah dengan metode Object Oriented Analysis and Design menggunakan Unified Modelling Language. Metode pengembangan sistem yang digunakan adalah metode waterfall sedangkan bahasa pemrograman yang digunakan adalah PHP dengan framework Laravel serta MySQL sebagai database. Teknik pengujian sistem dilakukan dengan pendekatan black box testing. Hasil dari penelitian berupa perangkat lunak sistem pemantauan kendaraan pengiriman barang menggunakan GPS berbasis web yang berfungsi menyediakan informasi mulai dari proses persiapan, serta lokasi posisi dan lokasi kendaraan secara real time selama proses pengiriman barang.
Sistem Informasi Tugas Akhir Berbasis Web di Jurusan Teknik Informatika Universitas Trisakti Dwi Yunda; Syaifudin; Syandra Sari
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14311

Abstract

The Department of Informatics has requirements for earning a Bachelor's degree, namely the Final Project. The Final Project is a research paper that must be written for students. However, the process of implementing the final project is still managed manually so problems occur on a regular basis. To avoid further issues, the author conducted research on the Information Systems of the Final Project. This system would not be integrated into the primary system of the university. There was only the Final Project 1 process in the implementation, consisting of a proposal and results seminars. This study aimed to create an Information system of Online Final Project for students who want to take Final Project 1 or those who are taking Final Project 1. This study used the waterfall method which consisted of requirements, design, implementation, and evaluation. In the analysis and design, this study used PHP programming and a MySQL database server. The function test on the application was used to generate the test results. The Final Project Information System application would be used by the admins, students, lecturers (supervisors and examiners), and the final project coordinators.
Application of Insurance Agent Services at PT. Takaful FamilyAsuration with Android-Based Incremental Method: Aplikasi Pelayanan Agen Asuransi Pada Pt. Asuransi Takaful Keluarga Dengan Metode Incremental Berbasis Android Arik Apriyani Arik Apriyani; Ahmad Zuhdi; Abdul Rochman
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14317

Abstract

Insurance Agent Service Application With Android-Based Incremental Method is a development in terms of service for agents at PT. Family Takaful Insurance. This information system has been running on a website-based basis, namely the TAIS (Takaful Agency Information System) application. However, when this website-based application is used, it is still impractical for agents working in the field. So far, when agents want to see the information, they have to use a computer or laptop, which sometimes gets stuck with the connection. With this Android-Based Incremental Method, it is made so that users, namely agents, can easily obtain agency information while working in the field. This application contains agency information, policy status made, contests to agents, and product illustrations.
Implementation of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods for Recognition of Batik Bekasi Motifs Implementation of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods for Recognition of B Sri Handayani; Ahmad Zuhdi; Ratna Shofiati
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14423

Abstract

Batik is the identity and wealth of the Indonesian people in the field of culture, whose existence has been recognized by the world. However, many of the Indonesian people themselves are still unable to distinguish and recognize the motifs found on batik cloth. This is due to the large variety of motifs and patterns that are owned in different batik from each region in Indonesia. Therefore, we need a merchine leraning model that can be used to identify and classify the motifs contained in batik cloth. In this research, the method that will be used is the gray level co-occurrence matrix method which is used as a feature extraction method by utilizing five calculated parameters, namely, energy, contrast, correlation, homogeneity and entopy, as well as using the support vector machine method which is used as a motif classification method. . The batik motifs used are Bekasi batik motifs in the form of tamarind motifs, machete motifs, ondel motifs and mandar bird motifs. In this study, information on batik and the batik motifs used were obtained from a trusted source, namely the Bekasi Batik Community (KOMBAS).
A “DOSPEMKU” CHAT APPLICATION PROTOTYPE WITH THREADING FEATURE USING CORDOVA FRAMEWORK FOR ANDROID-BASED COMPETENCY CONSULTATION: Chat Application With Threading Feature Using Cordova Framework For Android-Based Anwar Ibrahin Dana; Ahmad Zuhdi; Gatot Budi Santoso
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.14848

Abstract

Abstract—In this days, human communication that is efficient and easy is through a system of social media chat application devices. By relying on internet signals, users can carry out meeting activities between one party using social media without the need to use face-to-face meetings, one of which is in communicating consultations on competency issues in the world of education. The reference for this final project is based on the author's thoughts to form a web-based media Halodoc, which is the formulation of the core problem of this final project. With DOSPEMKU, the author can hope to solve some case examples. As for examples of cases such as difficulties coming because there is no time to go (in busyness), determining a time schedule that is not suitable, being inflexible, and so on. DOSPEMKU is a chat application based on the Android operating system, implementing Usecase Diagrams and Activity Diagrams as a designer for functionality requirements that are implemented into DOSPEMKU. The Cordova network is used as an Integrated Development Environment (IDE) platform with html, javascript programming languages ​​and uses the phpMyAdmin database as the database base. Design Implementation uses several methods, ranging from interface design, database, to functionality design in determining what features are contained in DOSPEMKU. The implementation process is tested both in terms of functionality and non-functionality to test whether the application is in accordance with the design stage. So that the process of designing, implementing and testing it was found that the application was made according to and accommodated the conversation according to the discussion.
Prediction of Inefficiency in Health Insurance Administration Institutions in Indonesia using Light Gradient Boosting Machine Kevin Valerian Ninia; Binti Sholihah; Abdul Rochman
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.15985

Abstract

Everyone understands that health is something that must be considered and should not be ignored. Therefore, the government seeks to form institutions that can organize health social security for the community. However, in practice it is not often found that there are cases of waste in the services provided (inefficiency). So that research was carried out using the Light Gradient Boosting Machine (LightGBM) to provide solutions for solving cases of waste (inefficiency) in health social security administering institutions.
An ANALYSIS OF OIL SENTIMENT SENTIMENTS ON TWITTER USING SUPPORT VECTOR MACHINE: ANALISIS SENTIMEN SUBSIDI BAHAN BAKAR MINYAK (BBM) DI TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE Ibnu Bilal Marta Prawira; Binti Solihah; Syandra Sari
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.16187

Abstract

Twitter is one of the social media platforms used by people in Indonesia. Twitter is often used by its users to express opinions regarding a product, institution or event. From the keyword fuel, fuel subsidy is a keyword that is currently a trending topic because changes in fuel subsidies affect the prices of other staples, to find out the value of sentiment in public opinion, sentiment analysis is one of the methods used is the support vector machine and lexicon based. Lexicon is a labeling method by matching the words contained in the document with the words contained in the dictionary. After labeling, the data is tested using the classification method, the classification stage is carried out after going through the preprocessing phase, where the tweet classification results tend to be positive or negative, using the Support Vector Machine method and validated by K-Fold Cross Validation.This research produced 50,001 data which were divided into 21,561 positive sentiments, 9206 neutral sentiments and 19234 negative sentiments. From these results it can be concluded that the data shows public support for rising fuel prices or changing fuel subsidy prices.
Paper Visualisasi Data Pembelian Barang dan Jasa Pada PT. Transcoal Pacific Menggunakan Exploratory Data Analysis: Visualization of Goods and Services Purchase Data at PT. Transcoal Pacific Using Exploratory Data Analysis Chandra Ganda Manuel Malau; Binti Sholihah; Agus Salim
Intelmatics Vol. 3 No. 1 (2023): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v3i1.16302

Abstract

The comfort and safety of the ship's crew in carrying out the voyage relies on the goods facilities and ship maintenance in carrying out shipping operations. In this case PT. Transcoal Pacific as a company engaged in logistics delivery services monitors with vendors engaged in the supply of goods in providing services in the form of ship crews and ship crews. However, in the implementation of business processes, there is no visual data that can provide information for companies regarding the purchase of goods and comparisons from 2 other branches. In this study, the preprocessing stage was carried out to eliminate inaccurate parts of the dataset and tables to create data visualization. After that, Exploration Data Analysis was carried out to obtain graphs to strengthen the analysis carried out. The expected result of this research is to form a dashboard as a place to visually process information to make the right decisions to improve business performance more effectively.

Page 3 of 8 | Total Record : 72

 1   2   3   4   5 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 2 (2025): July-December Vol. 5 No. 1 (2025): January-June Vol. 4 No. 2 (2024): Juli-Desember Vol. 4 No. 1 (2024): Januari-Juni Vol. 3 No. 2 (2023): Juli-Desember Vol. 3 No. 1 (2023): Januari-Juni Vol. 2 No. 2 (2022): Juli-Desember Vol. 2 No. 1 (2022): Januari-Juni Vol. 1 No. 2 (2021): Juli - Desember Vol. 1 No. 1 (2021): January