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INDONESIA
JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Published by Universitas Tarumanagara
ISSN : 23028769     EISSN : 23032529     DOI : -
Core Subject : Science, Education,
Computer Science & IT Mathematics Other
Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil penelitian kualitatif dan kuantitatif, perancangan sistem informasi, analisis dan perancangan progam aplikasi. Jurnal ini terbit dua kali dalam setahun yaitu pada bulan Januari dan Agustus.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 937 Documents
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APLIKASI PENJUALAN BESI BERBASIS WEBSITE PADA PT SERIJAYA Victor Femona Laoli; Dedi Trisnawarman; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26018

Abstract

Website-Based Iron Sales Application Design for PT. Serijaya aims to improve the business quality of PT. Serijaya in sales activities. Making this website-based application also aims to make it easier for customers to make transactions and obtain information related to products sold by PT. Serijaya. The design of this application uses the Waterfall model System Development Life Cycle (SDLC) development methodology. The database used in this application is MySQL. The programming languages used are HTML and PHP.
PERANCANGAN DASHBOARD PERFOMA SALES DI CV MIRKO SEJAHTERA ABADI Jeffrey Triguna; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26020

Abstract

Dashboard is design for CV Mirko Sejahtera Abadi aims to improve the sales performance of CV Mirko Sejahtera Abadi. Making the dashboard can make CV Mirko Sejahtera Abadi easier to know their sales every month and also, they sales performance every month. The design of this dashboard uses the Waterfall model System Development Life Cycle (SDLC) development methodology. The database used in this application is MySQL. The programming languages used are HTML and PHP.
PENERAPAN FUZZY TAHANI PADA REKOMENDASI OBJEK WISATA DI JAKARTA Veronika; Dedi Trisnawarman
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26023

Abstract

Tourism is an important sector in building the Indonesian economy. Jakarta as the nation's capital has a variety of tourist destinations that can be an attraction for tourists to visit the city. Due to diverse destinations, tourists find it difficult to choose destinations to visit according their preferences. Therefore, a decision support system is needed in recommending tourist destinations in terms of the average 3 stars hotel price, the number of nearby restaurants, the distance from airport to tourism and destinations rating. This study aims to develop a decision support system based on Fuzzy Tahani in recommending Jakarta tourist destinations. The decision support system development method uses the stages of Rapid Application Development,, which consist of requirement analysis, design, implementation and testing. The results of this study are designing a decision support system that applies the Fuzzy Tahani algorithm method with an interface in the form of a web page that helps tourists get recommendations based on the criteria entered. For the testing there are two tests, fuzzy algorithm testing by comparing fuzzy algorithm calculations manually with calculations from the system and Black Box testing to test the suitability of the functionality of the decision support system.
Pengembangan Sistem Informasi Penjualan Di Toko Karunia Dengan Framework Spring MVC Yohanes Vincent Junaidi; Ery Dewayani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26024

Abstract

The aim of this research is to create a sales information system for Toko Karunia, which is a general store, by utilizing the Spring MVC framework. The research applied an agile approach with a scrum methodology for software development, using JavaScript as the programming language. The system development consists of features such as inventory management, sales tracking, customer management, and reporting. The implementation of this system provides a significant improvement in the store's operational efficiency and accuracy in sales processes. The outcome of this study can be beneficial for retail businesses with similar needs to enhance their sales processes using modern software technology.
PENERAPAN METODE DECISION TREE UNTUK PRAKIRAAN CUACA KOTA BEKASI Kristopher Halim; Dyah Erny Herwindiati; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26026

Abstract

To predict the weather requires a lot of weather data variables, many influencing factors such as the large amount of data. Because this makes prediction accuracy and speed less accurate. So with that made a way to make predictive model research using several data mining techniques. The data to be used in this study were obtained from timeanddate.com, timeanddate.com is a site that provides data and information about daily weather conditions. The data used ranges from December 2021 to August 2022. The research aims to obtain weather classification patterns using the data mining classification algorithm, namely the C4.5 algorithm. The results of testing the C4.5 algorithm using the php website and program get an accuracy of 82%.
Rancang Bangun Dashboard Penjualan pada PT. XYZ dengan Microsoft PowerBI Monica Saputra; Tony
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26028

Abstract

One of the most popular and most widely used technologies among people today is the internet. Starting from studying, shopping, working, doing business, communicating, everything can be accessed only by using the internet or in other words referred to as online activities. People are now trying to expand their business online, one of which is PT. XYZ. This company is a retail company that has an online and offline distribution system and sells power tools and household appliances. This company already has an application-based system. Therefore, the dashboard design for this company will be used to provide a summary of sales for three months from tokopedia, shoppe, lazada and tiktok shop to make it easier for company leaders to make decisions. The data collection method was carried out by interviewing and dashboard design using the prototyping method. This design will produce a dashboard using the Microsoft PowerBI Desktop application which can provide visual information about PT.XYZ's sales data.
Aplikasi Analisis Sentimen Komentar Pengguna Genshin Impact Di Play Store Muhammad Farras; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26029

Abstract

Google Play functions as the official app store for the Android operating system, allowing users to browse and discover applications developed with the Android software development kit (SDK) and published through Google. Google Play also serves as a digital media store, offering music programs, books, movies, and television shows. It previously offered Google hardware for purchase until it introduced a separate online hardware store, Google Store, on March 11, 2015.The research will utilize a web-based application development tool that uses Flask and JavaScript as the application interface, and the Pandas library from Python for data manipulation. Naïve Bayes will be employed as the methodology for analyzing sentiments based on words, and K-Fold Cross Validation will be used to strengthen the accuracy of the analysis results.Sentiment analysis typically classifies opinions into three categories: positive and negative. However, applications that can perform the process of creating training and testing sets from consumer opinion data, simultaneously analyzing consumer sentiment and dynamically measuring the accuracy of the analysis results, are still scarce. This study aims to develop an application capable of analyzing consumer sentiment with the mentioned functionalities, wherein Naive Bayes is used as the classification method.
Perancangan Dashboard Untuk Pemantauan Jumlah Siswa Pada PT XYZ Menggunakan Metode Prototyping Shela; Tony; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26030

Abstract

The development of technology has encouraged the growth of coding courses as a solution to prepare children for an increasingly digital future. PT XYZ is a course school that offers coding learning for children aged 5-18 years. Currently, PT XYZ already has several branches in major cities. In monitoring the number of students at each branch, PT XYZ still manages data manually which is vulnerable to inaccurate data. This research aims to design a dashboard that can be used to help companies monitor the number of students and other indicators related to company performance. This dashboard design uses the prototyping method and Microsoft Power BI. The result of this research is a dashboard system that can be used to monitor the number of students from the three main branches of PT XYZ, as well as display other information related to students that can help companies to set targets to be achieved.
VISUALISASI DATA STOK BARANG PADA PT BECEK GRUP INDONESIA Mega Pertiwi; Tony; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26034

Abstract

Skripsi dashboard to monitor incoming and outgoing stock, sales volume, and analyzing the best-selling products of the month at PT Becek Grup Indonesia. The dashboard is well designed to provide accurate and credible information about stock items, so that PT Becek Grup Indonesia can make the right and optimal decisions. The methodology used in this study was interview, observation, and data analysis through the prototyping method. The results of the research show that stocks go in and out and identify a product accurately and provide effective information. In addition, this dashboard has a visualization designed using Power BI so that users can easily use it and can be accessed via mobile devices. Then the visualized data is expected to improve service quality at PT Becek Grup Indonesia and provide significant benefits for warehouse management. Then the data that has been visualized can be used to make it easier for users to find out the details and information they want to know
MANAJEMEN PROYEK PEMBUATAN DASHBOARD UNTUK VISUALISASI CURAH HUJAN DI JAKARTA Richard; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 2 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i2.26035

Abstract

Project management is a way for organizing to managing and completing projects from start to finish. Using weather data collected from BMKG to carry out data processing by creating a dashboard to display rainfall visualizations using Power BI. This methode research implements use the BI roadmap method. The purpose of this research is to be one of the ways to make decisions. The purpose of the results in this research, it is hoped that making a dashboard visualizations can be useful for users, namely everyone who needs weather information for outdoor activities.

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