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Perancangan dan Implementasi Aplikasi Mobile Buku Kas Menggunakan Metode User-Centered Design untuk Mendukung Pengelolaan Keuangan Para Pelaku UMKM Suliwa Yudha Adinata; Lely Panca Andriyanto
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10642

Abstract

The rapid development of information technology has provided convenience in various aspects of life, including financial management. Proper financial management is one of the determining factors for business sustainability and growth, particularly for Micro, Small, and Medium Enterprises (MSMEs), which serve as one of the main pillars of the national economy. However, many MSME owners still do not have the habit of recording daily transactions regularly due to limited time and the lack of simple recording tools. This problem affects the ability of MSME owners to accurately monitor cash flow, distinguish personal and business finances, and make business decisions based on valid data. Manual recording using physical cash books is also considered inefficient, prone to human error, easily lost or damaged, and difficult to recapitulate or analyze quickly when needed. This condition is further exacerbated by the low level of digital literacy among some MSME owners and the limited availability of financial recording applications that are truly suitable for the characteristics of micro-enterprises, namely simple, lightweight, easy to learn, and accessible anytime through mobile devices without requiring special training. This study aims to design and develop a mobile cash book application to assist MSME owners in recording daily income and expenses efficiently. The method used is User-Centered Design (UCD), which places user needs as the main focus throughout the process, including requirements identification, interface design, prototyping, and user evaluation. The application was developed using Kotlin in Android Studio with local data storage using SQLite synchronized with a MySQL database on the server side. Functional testing was conducted using the Black Box Testing method, while user acceptance evaluation was performed through a Likert-scale questionnaire involving 35 respondents based on three aspects: Usability, UI/UX, and Efficiency. The results showed that the application functioned properly and received very positive responses from users across all evaluation aspects, demonstrating that the implementation of UCD can improve user satisfaction in independently managing finances through mobile devices. This research contributes to the development of an Android-based mobile cash book application that provides features for recording income and expenses, transaction category management, financial report visualization, PDF report export, and transaction recording reminders. Furthermore, the implementation of synchronization mechanisms between SQLite and MySQL enables transaction recording even when an internet connection is unavailable, with data updates performed when the connection becomes available again.
Sistem Pakar Untuk Menentukan Departemen Sesuai Kepribadian Calon Karyawan dengan Menggunakan Metode Forward Chaining Lely Panca Andriyanto; Meidy Fajar Wahyu
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.7889

Abstract

Human Resource Management (HRD) is an important aspect in ensuring the success of an organization, where the placement of employees who match their personality and skills is a key factor in increasing productivity and reducing turnover rates. This study aims to build a desktop-based expert system using the Forward Chaining method, where the inference process begins by matching personality trait facts from test results to rules (IF-THEN knowledge base) to produce conclusions in the form of recommendations for the most suitable department. as an objective tool in the process of placing new employees based on personality test results, where the system is designed to match the personality characteristics (Sanguine, Melancholy, Choleric, Phlegmatic) of prospective employees with the specific needs of each department. The results of functional testing and validation show that the system built has an accuracy rate of 92% from 50 employee data. The system built is able to provide employee placement recommendations faster with a time efficiency rate of 93.33%. The implementation of this system is a significant contribution in increasing the effectiveness of HRD decision making through the use of artificial intelligence technology.