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All Journal Nuansa Informatika
Elly Firasari
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Computer Science & IT

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Sistem Informasi Penjualan Berbasis WEB Pada UKM Rukun Makmur Tlingsing F. LIa Dwi Cahyanti; Elly Firasari; Umi Khultsum
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.126

Abstract

In today's globalized era, rapid advancements in information systems have had a profound impact on business operations. UKM Rukun Makmur, based in Tlingsing Village, Cawas District, Klaten Regency, specializes in producing woven lurik fabric and faces several challenges. These include limited traditional marketing methods such as brochures and catalogs, which restrict sales efficiency and outreach. Additionally, there is a lack of staff familiarity with internet tools, hindering business growth. The use of traditional weaving equipment also limits production capacity. Insufficient digital marketing efforts have resulted in low brand visibility and below-target sales revenue for this SME. Thus, it is essential to develop a web-based sales information system for UKM Rukun Makmur Tlingsing to expand product marketing reach and boost sales. This system will be built using the waterfall methodology, encompassing phases such as requirements analysis, design, implementation, and testing. Open-source tools like XAMPP, MySQL, and PHP will be employed, ensuring accessibility for all users
The Implementation of the TOPSIS Method in Determining Stunting Toddlers: Penerapan Metode TOPSIS dalam Penentuan Balita Stunting Umi Khultsum; F. Lia Dwi Cahyanti; Elly Firasari
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.400

Abstract

Stunting is a growth disorder in children due to chronic malnutrition and recurrent infections, especially in the first 1,000 days of life. Assessment of stunting status that only relies on height and weight measurements is considered ineffective because it does not cover all aspects that affect a child's nutritional status. At Posyandu Bougenvile, stunting identification is still done manually and is at risk of causing errors in decision making. This study aims to develop a web-based Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to assist Posyandu cadres in determining toddler stunting status quickly, accurately, and efficiently. This system processes data from four main anthropometric indicators, namely Height/Age, Weight/Age, Weight/Age, and BMI/Age. The results of the system calculations show agreement with manual calculations, which proves that the system is working optimally. An example of the results shows that toddlers with code A1 (Rafasya Malik) have the lowest preference value of 0, followed by A4 (Ihsan Dwi Hanggoro) with a value of 0.4022149 which is included in the high stunting risk category. This system has proven to be able to help Posyandu cadres in prioritizing the handling of at-risk toddlers, as well as supporting the stunting monitoring process in a more structured and data-based manner.
Co-Authors F. LIa Dwi Cahyanti Umi Khultsum