cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Antonius Denny Firmanto
Contact Email
garuda@apji.org
Phone
+6285642100292
Journal Mail Official
Risqi@apji.org
Editorial Address
https://journal.widyakarya.ac.id/index.php/jusiik-widyakarya/about/editorialTeam
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal Sistem Informasi dan Ilmu Komputer
Published by Universitas Katolik Widya Karya Malang
ISSN : 29865158     EISSN : 29864976     DOI : 10.59581
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Sistem Pendukung Keputusan (DSS), Sistem Informasi Geografi (GIS), Perusahaan Skala Sistem Informasi (ERP, EAI, CRM, SCM), E-Commerce, E-Government, Sistem Informasi dari Rumah Sakit, Sistem Informasi Perbankan, Sistem Informasi Industri, Pengambilan Informasi, Keamanan Sistem Informasi, Sistem Informasi Berbasis Web, Sistem Berbasis Pengetahuan, Komputasi Bergerak, Penambangan Data, Basis Data, Gudang Data, Gudang Data, Mutimedia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 136 Documents
 6   7   8   9   10 
Pembuatan User Interface Aplikasi Berbasis Website K-Foodies Rachmadina Nabila Nelson; Siti Chodidjah; Deasy Indayanti; Santi Widianti; Iwan Setiadi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1793

Abstract

The User Interface (UI) of the website-based application 'K-Foodies' was created to provide information on Korean street food recipes with an attractive appearance and is easy to use. In the context of the popularity of Korean street food in Jakarta and people's interest in cooking themselves, the difficulty in finding scattered recipe information is an obstacle. Creating the UI involved using Figma software, with a focus on UI design and user experience. The UI design includes descriptions of Korean street food, recipes, and cooking steps. Usability tests using the completion rate method will measure the effectiveness of the UI based on user interactions with the system in the form of various task scenarios. The aim of this research is to create an attractive and easy-to-use UI for the 'K-Foodies' application, allowing users to easily find Korean street food recipes in one place.
Implementasi Algoritma Decision Tree untuk Klasifikasi Data Evaluation Car Menggunakan Python Ekin Adhi Guna; M. Davin Diza Ghifary; Esra Fransiska Sihombing; Age Pius Datubara
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1830

Abstract

Di era digital saat ini, kemajuan teknologi informasi mengalami pertumbuhan yang pesat. Salah satu perkembangan yang signifikan terjadi dalam bidang kecerdasan buatan (Artificial Intelligence), yang telah diterapkan luas di berbagai sektor, termasuk analisis data dan pengambilan keputusan. Para peneliti di bidang data mining telah menciptakan beragam algoritma klasifikasi yang meningkatkan proses klasifikasi dengan memanfaatkan atribut numerik dan nominal. Klasifikasi adalah suatu proses analisis data yang menghasilkan model untuk mewakili kelas-kelas dalam data tersebut, seperti yang terjadi pada Decision Tree yang digunakan untuk menganalisis klasifikasi dan pola prediksi data serta menggambarkan hubungan antara variabel atribut dan variabel target dalam bentuk struktur pohon. Python, sebagai bahasa pemrograman populer dalam pengembangan kecerdasan buatan, menyediakan pustaka dan framework yang mendukung implementasi algoritma Decision Tree. Dengan menerapkan algoritma Decision Tree untuk klasifikasi data evaluasi mobil menggunakan Python, kita dapat memanfaatkan kekuatan AI untuk memberikan solusi efektif dan efisien dalam pengambilan keputusan terkait evaluasi mobil. Menggunakan dataset Evaluation Car dari UC Irvine Machine Learning Repository, hasil penelitian menunjukkan akurasi sebesar 81%. Confusion Matrix dan laporan klasifikasi menunjukkan performa model yang baik dalam melakukan prediksi.
Penerapan Algoritma Decision Tree Dalam Melakukan Analisis Klasifikasi Harga Handphone Ahmad Taufiq Ramadhan; Faishal Hilmy F. G; Nadya Rafaela Puteri; Alifya Meirza
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1861

Abstract

The use of the Decision Tree method in smartphone price classification is the focus of this study. By using the 10 most relevant features and data normalization to achieve scale consistency, the Decision Tree algorithm delivers an average accuracy of 81%. Although some false positives and false negatives occur, the model is able to classify smartphone prices well, especially in identifying low and high prices. These results provide important insights into the features that affect smartphone prices. While there is still room for improvement, this model provides a solid foundation for the smartphone industry to determine prices based on certain specifications. The importance of relevant feature selection and data normalization was revealed in this study. Despite the accuracy reaching 81%, improvements in the classification of medium and high price classes are still possible to reduce prediction errors. This method provides an important basis for the smartphone industry to set prices based on specifications, and data mining techniques such as Decision Tree can be improved to improve the accuracy of future price predictions.
Implementasi Algoritma K-Nearest Neighbor Untuk Klasifikasi Penerimaan Beasiswa Program Indonesia Pintar Chusi Yanasari; Toni Arifin
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1862

Abstract

Scholarships are a form of assistance in the form of educational expenses provided by the government or foundations to students or students who are categorized as from underprivileged families. However, in datermining scholarship recipients, there are still many scholarship recipients who come from wealthy families, while those from less fortunate families do not receive this assistance. This may be due to calculations and data processing that still use manual methods, causing scholarship recipients to not be on target. The purpose of this research is to simplify and minimize calculation errors in determining scholarship recipients for the Smart Indonesia Program (PIP) at SMK Karya Medika. Therefore, for calculating and processing PIP scholarship recipients data, data mining techniques can use the calssification method using the K-NN algprithm. K-Nearest Neighbor is a data classification method that will be used for data objects based on learning data that is closer to the object. In this study using the Confusion Matrix test so as to obtain an accuracy value of 80.00%.
Implementasi Algoritma Decision Tree untuk Klasifikasi Serangan Jantung Muhammad Akram Fais; M. Revano Ananda Lubis; Annisa Aulia; Indri Syafitri
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1895

Abstract

As many as 7.3 million people worldwide die from heart disease. This indicates that heart disease is one of the diseases that cause the most deaths. As a preventive effort in handling heart disease, it is necessary to predict heart disease in patients. The classification process to predict heart disease is done using a decision tree. This decision tree is interesting because it is more flexible in providing the advantage of visualizing the advice so that the prediction can be observed. This study uses Heart Disease Prediction Dataset data with a total of 303 data. Then predictions are made using Decision tree so that the accuracy results are 83.60%, precision 89.28%, recall 78.12% and F1 score of 83.33%.
Perancangan Sistem Informasi Eksekutif Penggajian Karyawan Pada Galon Air Fino Water Giska Melvy Anggraini; Maya Ardila Pasaribu; Nur Annisa; Harahap, Solly Rahman Nur; Zuhra Sartika; Fitriana Harahap; Husin Sariangsah
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1903

Abstract

Executive Information Systems (ISE) have become an integral part of modern corporate management, providing executives with relevant and immediate information to support decision making. This journal discusses the implementation of the Executive Information System in the employee payroll process using the Microsoft Visual Studio 2010 development environment and SQL Server database. This research includes the design, development and implementation of an Executive Information System application for the employee payroll department. The system development methodology focuses on requirements analysis, application design, coding, testing, and implementation. Microsoft Visual Studio 2010 is used as the primary development environment, providing powerful tools for building intuitive and efficient user interfaces. SQL Server database is used as an integrated and secure data storage. This application is designed to manage payroll information, including employee personal data, salary history, salary deductions and bonuses. The advantages of this system include the ability to provide real-time information to executives, increase the efficiency of human resource management, and support faster and more accurate decision making in the context of employee payroll.
Penerapan Sistem Informasi Inventory Gudang Berbasis Web pada PT Laz Coal Mandiri Dwi Ratna Sari; Arif Supriyanto
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1943

Abstract

There are jobs in the warehouse that are still not optimal, one of which is managing administration and other activities related to warehouse mechanics and inventory. In the warehouse management section, employees record incoming goods, outgoing goods, and stock of goods by recording them in the inventory book, resulting in a buildup of inventory which often causes discrepancies between the release of goods and transaction funds. The research method used to solve problems is by using interviews and observation methods and for system development using the object oriented method. The results of this research produce a warehouse inventory information system that is capable of carrying out web-based warehouse recording transactions, so it is hoped that it can help with problems in PT Laz Coal's warehouse inventory.
Analisis Pengaruh Platform LinkedIn Terhadap Fenomena Fear of Missing Out (FOMO) di Kalangan Mahasiswa ITS Nadya Benanda; Nadhira Apta Maheswari; Nadhyra Haninda Putri; Safia Ailsa Egasmara; Yasmin Nurul Maulidia; Nur Aini Rakhmawati
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i4.1965

Abstract

Fear of Missing Out (FOMO) has received a lot of attention in today's digital culture, especially among students. The purpose of this research is to investigate the impact of LinkedIn usage on the level of FOMO among students at the Sepuluh Nopember Institute of Technology (ITS). Using an integrated methodology, the data was collected through surveys by questionnaire to understand the relationship between LinkedIn usage and FOMO. The information was gathered through incidental sampling from a total of 100 respondents, ranging from 2018+ students to 2023 students.According to the results, more than half of the respondents experience FOMO when seeing other people's LinkedIn profiles. Based on the results, it shows that students feel more motivated to do something more productive because of their FOMO. These results are expected to assist practitioners, educators, and academics interested in FOMO and the use of social platforms in higher education to gain a better understanding of how the LinkedIn platform affects the amount of FOMO among ITS students.
Analisis Pengaruh Kemudahan terhadap Tingkat Efektivitas Penggunaan Mesin Cetak Pelet Pakan Ternak Salsabila Diba Cahyani; Nur Aziezah; Hikmah Rahmah; Faldiena Marcelita; Inna Novianty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.1976

Abstract

The pellet molding machine has high efficiency to make it easier to process animal feed pellets. The pellet processing process requires a series of activities such as grinding, mixing, pelleting and drying. Therefore, research was carried out to identify the effect of convenience on the level of effectiveness of using an animal feed pellet printing machine. The method used in this research is a quantitative method by distributing questionnaires via the Google Form platform. Validity tests, reliability tests and simple regression analysis are used to analyze the data obtained from filling out the questionnaire
Analisis Pengaruh Kemudahan Pengguna Terhadap Efektivitas Alat Kompresi Sampah Botol Plastik “Bottlepress” Berbasis IoT Shinta Arafah Hidayanti; Nur Aziezah; Hikmah Rahmah; Walidatush Sholihah; Inna Novianty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.1991

Abstract

The purpose of this study was to determine the influence of users and the effectiveness of the Plastic Bottle Waste Compression Tool "Bottlepress" as an innovation in protecting the environment. The method used is a quantitative survey form using the Google Form platform in the form of a questionnaire to obtain a sample. Simple Linear Regression and Correlation methods were used as data analysis of this study.  The results of this study indicate that there is no influence between user convenience on compression tools with a greater significance α> 0.05, namely 0.373 and a regression coefficient of 0.167 units or 16.7% positive value.

Page 8 of 14 | Total Record : 136

 6   7   8   9   10 

Filter by Year

2023 2024


Reset
Filter By Issues
All Issue Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 3 (2024): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2024): Mei : Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 4 (2023): November : Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2023): Mei: Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 1 (2023): Februari : Jurnal Sistem Informasi dan Ilmu Komputer