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Jurnal Informatika dan Bisnis
Published by INSTITUT BISNIS DAN INFORMATIKA KWIK KIAN GIE
ISSN : 23019670     EISSN : 24775363     DOI : https://doi.org/10.46806/jib.v12i2
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Jurnal Informasi dan Bisnis (JIB) adalah jurnal yang diterbitkan oleh Institut Bisnis dan Informatika Kwik Kian Gie dengan p-ISSN 2301-9670 dan e-ISSN 2477-5363. JIB terbit dua kali dalam setahun, yakni setiap Juni dan Desember, dan telah terbit dalam bentuk cetak (buku) dan elektronik (PDF). Fokus dan bidang di JIB meliputi: Informatika, Ekonomi, Bisnis, Manajemen, Manajemen Informatika, Informatika Ekonomi, Informatika Bisnis, Pembangunan Ekonomi, Informasi Akuntansi, Manajemen Informatika Produksi, Informatika Produksi, Distribusi Informatika, Informatika Konsumen. Kami mendorong pembaca dan penulis untuk mengirimkan artikel berisi ide atau kontribusi orisinal terbaik. Naskah bisa berupa artikel riset kuantitatif, artikel riset kualitatif, artikel review, short communication, metoda riset dan rancangan sistem, dengan syarat memiliki kebaruan dan bermanfaat secara praktis dan akademis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 178 Documents
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Implementasi Sistem Pengambilan Keputusan Pembelian Saham di Indonesia berdasarkan Kinerja Berbasis Web Pramulia, Kevin; Dasawati, Elis Sondang
Jurnal Informatika dan Bisnis Vol. 14 No. 1 (2025): Januari - Juni
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i1.1413

Abstract

Stock purchases represent certificates of ownership in a company that are sold to the public. Making a stock purchase requires careful decision-making due to the large number of stock options available. One of the methods used is the trend following method, which can provide profit opportunities. However, calculations are still often done manually, which takes a lot of time to determine which stocks meet the criteria. Currently, there is no system that helps calculate the number of suitable stocks in Indonesia, which would otherwise save time and effort in identifying stocks that align with the trend following method. This research uses unstructured interviews, secondary data from the yfinance API, and literature review. The system is developed using the Python programming language for processing stock data and utilizes the Flask microframework to create a web application that is accessible and user-friendly. The result of this research is a decision support web application that meets users’ needs for selecting stocks from a large dataset of Indonesian stocks. The system calculates, sorts, and categorizes the stocks based on whether or not they meet the criteria. The conclusion of this research is that the system successfully provides stock calculation results that meet the criteria, aiding decision-making in selecting potentially profitable stocks. The system can be run via a web interface that is easy to use and understand, helping users analyze large volumes of stock data more efficiently and faster than manual methods.
Implementasi Transaction Processing System dan Decision Support System dalam Pengambilan Keputusan Berbasis Web (Studi Kasus: Toko Lion) Cessy, Cessy; Budi, Akhmad
Jurnal Informatika dan Bisnis Vol. 14 No. 1 (2025): Januari - Juni
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i1.1414

Abstract

The human need for consumer goods continues to increase, requiring grocery stores to operate efficiently. However, many stores still rely on manual record keeping which hinders real-time data access and increases the risk of recording errors. This research implements a web-based Transaction Processing System (TPS) and Decision Support System (DSS) to improve the operational efficiency of Toko Lion. By using qualitative and quantitative research methods through interviews, observations, and literature studies, this research analyzes the comparison between manual systems and web-based systems. The results showed that the system developed was able to increase the speed of recording transactions, the accuracy of stock data, and the presentation of more systematic financial reports. This implementation is proven to improve the efficiency of grocery store management and can be a reference for other small businesses in adopting digital technology.
Implementasi Aplikasi Sistem Pengamanan Smarthome menggunakan Face Recognition Berbasis ESP32 Lemuel, Jason; Birowo, Sigit
Jurnal Informatika dan Bisnis Vol. 14 No. 1 (2025): Januari - Juni
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i1.1418

Abstract

In this advanced digital age, with the many advances in digital technology and its increasing adoption along with the pace of globalization bringing a large and fast-paced economy, however, all that changed after the spread of the COVID-19 pandemic, where after the economic slowdown drastically caused all aspects of people's lives to also change drastically, all of this indicates how important it is for digitalization to be adopted in every layer of people's lives. Smart home is a combined application of technology and services that are specialized in the home environment with certain functions aimed at increasing security, efficiency and comfort, smart home includes a digital-based security system that adds a level of security in the neighborhood with greater reliability in guarding the entrance. This field research (Qualitative Method) that uses unstructured interviews, observation, literature study, and documentation. As a data collection technique this unstructured interview is from the family. The system development method is based on information obtained from interviewee. The smart door lock in smart home system detects human faces caught by the camera, then compares the face with the one that has been registered before if the same then it will be given access by opening the lock for 20 seconds otherwise it will continue to lock with RGB lights turning red indicating that the person is not recognized by the system, The system can be controlled by a web application that can be accessed using a computer or cellphone. This research is to make a smart home security system to using ESP32 to regulate door access which aims to eliminate human error in maintaining environmental security.
Implementasi Sales Force Automation untuk Mengoptimalkan Efisiensi Operasional pada Klinik Kecantikan Ellea Liora di Tasikmalaya Caesar, Calvin; Budi, Akhmad
Jurnal Informatika dan Bisnis Vol. 14 No. 2 (2025): Juli - Desember
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i2.1880

Abstract

This study aims to develop a web-based Sales Force Automation (SFA) system as a solution for managing customer information and operations at Ellea Liora, a beauty clinic in Tasikmalaya. With the increasing demand for beauty services, the manual system currently in use leads to inefficiencies in transaction recording, appointment scheduling, and customer data management. This research employs a qualitative method with data collection techniques including direct observation, documentation, and literature review to understand system requirements. The system development follows the Rapid Application Development (RAD) methodology to ensure an iterative solution that meets end-user needs. The resulting system features transaction recording, self-service appointment scheduling, electronic invoice generation, inventory management, and structured customer data management. The implementation of this system is expected to enhance Ellea Liora's operational efficiency, accelerate sales processes, reduce human errors, and improve service quality and competitiveness in the beauty industry.
Aplikasi Frontend untuk Meningkatkan Customer Experience dan Mendapatkan Data Customer Menggunakan Metode Scrum pada Studi Kasus Livera Anthony, Farrel; Birowo, Sigit
Jurnal Informatika dan Bisnis Vol. 14 No. 2 (2025): Juli - Desember
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i2.1881

Abstract

The development of digital technology has had a significant impact on human life, including institutions, organizations, and business actors. Rapid technological advancement has become a crucial factor for businesses to remain competitive in an increasingly dynamic market. Livera is a company engaged in the health beverage industry, with a focus on weight loss products. Currently, Livera does not yet have an application to fulfill customer satisfaction after purchase. Therefore, this study aims to design a website-based application intended to improve customer satisfaction, where customers can consume products according to a predetermined schedule, and the website application can also facilitate administrators in inputting and automatically accessing data. Customer experience represents an evaluation of feelings that can be identified through the experiences perceived by customers. Customer experience can be one of the most important determining factors for customers. This research is conducted using the Scrum method. The Scrum activities include product backlog, sprint backlog, daily Scrum, sprint review, and sprint retrospective. The roles in Scrum consist of the product owner, Scrum master, and the development team. This study employs a qualitative research method and the Scrum framework for system development. Data collection techniques used include non-participant observation, unstructured interviews, and literature studies from books and academic journals that serve as references related to customer experience, website design, and the Scrum method.
Implementasi Sistem Pengelolaan dan Perencanaan Keuangan Pribadi dengan Fitur Speech Recognition Berbasis Mobile Yemima, Helen Ruth; Dasawaty, Elis Sondang
Jurnal Informatika dan Bisnis Vol. 14 No. 2 (2025): Juli - Desember
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i2.1909

Abstract

Recent technological advancements have significantly impacted various aspects of daily life, including personal financial management and planning. However, many individuals still rely on manual systems, which can be time-consuming. Manual systems require users to enter transaction data one by one, making the process tedious and lengthy. In recent years, Artificial Intelligence (AI) has become increasingly prevalent in everyday life. Speech recognition, a subfield of AI, allows machines to convert human speech into written text, facilitating human-machine interaction. Implementing speech recognition features in devices can help save time in personal financial management and planning. This research focuses on personal finance and utilizes a observation. The Extreme Programming (XP) technique is used as the software development methodology. Data measurement techniques employ formulas related to personal finance. System design begins with creating Use Case and Class Diagrams, followed by database design. The research output is a mobile application with speech recognition features for personal financial management and planning. The developed personal financial management and planning system can save time through the implementation of speech recognition features, eliminating the need for manual data entry. The system is implemented on a mobile device, providing easy access for daily personal financial management and planning.
Optimasi Prediksi Jumlah Kontainer Aktual di Kapal Menggunakan Random Forest dan XGBoost dengan Hyperparameter Tuning Permana, Endi; Susilo, Joko
Jurnal Informatika dan Bisnis Vol. 14 No. 2 (2025): Juli - Desember
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i2.1921

Abstract

The maritime logistics industry plays a crucial role in ensuring the smooth flow of trade; however, it often faces discrepancies between the number of containers booked and the number actually loaded onto ships. These discrepancies can lead to operational inefficiencies, shipment delays, and additional costs for companies. PT XYZ, as a maritime logistics service provider, encounters similar challenges. Therefore, this study aims to analyze the factors causing container discrepancies and to develop a predictive system for estimating the actual number of containers as a decision-support tool. This research adopts data mining, machine learning, and ensemble learning approaches, focusing on the Random Forest Regressor and Extreme Gradient Boosting (XGBoost) algorithms combined through a Voting Regressor. Hyperparameter tuning using GridSearchCV is applied to improve the model’s ability to capture complex data patterns. A quantitative approach following the CRISP-DM framework is employed, including data exploration, cleaning, feature selection, modeling, and evaluation. The study utilizes historical container booking data from PT XYZ in 2023, consisting of more than 138,000 records. The results show that the Voting Regressor achieves the best performance with an R² value of 0.7874 and an MSE of 1.6282, supported by consistent RMSE and MAE metrics. The model is implemented in a Flask-based web application that enables practical container count prediction through Microsoft Excel file uploads. The implementation of this predictive system has the potential to help PT XYZ reduce loading discrepancies, minimize additional costs, and optimize logistics planning, while also contributing academically to the application of machine learning in the maritime logistics sector.
Kepercayaan dan Persepsi Risiko sebagai Penentu Minat Belanja Online Konsumen Baderi, Baderi
Jurnal Informatika dan Bisnis Vol. 14 No. 2 (2025): Juli - Desember
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jib.v14i2.1487

Abstract

This research aimed to examine how trust and perceived risk relate to consumers’ purchase intentions on online shopping platforms. A quantitative approach with a non-parametric correlational design was applied to assess the strength and direction of the association between these variables. The study was carried out from July to September 2025 and involved 134 active female undergraduate students enrolled in Digital Business programs across Jombang Regency, East Java. Female participants were selected as the study sample because they are generally more engaged in online shopping activities, making them suitable representatives of digital consumer behavior. Data were gathered using an online questionnaire adapted and validated from established research instruments. The collected data were analyzed using SPSS version 26, employing descriptive statistics and the Spearman’s rho correlation test due to the ordinal scale and non-normal distribution of the data. The findings revealed a significant positive correlation between consumer trust in online shopping platforms and purchase intention (p = 0.025), while perceived risk showed a significant negative correlation with purchase intention (p = 0.039). These results emphasize the importance of strengthening consumer trust and minimizing perceived risk as strategic efforts to enhance marketing effectiveness within the e-commerce industry.

Page 18 of 18 | Total Record : 178

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