cover
Contact Name
Muhammad Kris Yuan Hidayatulloh
Contact Email
krisyuan@unwaha.ac.id
Phone
+6285851233341
Journal Mail Official
lppm@unwaha.ac.id
Editorial Address
Jl. Garuda No. 09 61451 Tambakberas Jombang Jawa Timur
Location
Kab. jombang,
Jawa timur
INDONESIA
Newton : Networking And Information Technology
ISSN : -     EISSN : 27970728     DOI : -
Core Subject : Science,
NEWTON: Networking and Information Technology is a scientific journal published by the Institute for Research and Community Service (LPPM), KH University. A. Wahab Hasbullah Jombang. The aims of the journal are to publish and disseminate high quality, original research papers and article review in the field of Information Technology, Information Systems Engineering, and Intelligent Business Systems. NEWTON: Networking and Information Technology provide platform for scientists and academics across Indonesia to promote, share, and discuss new issues and the development of information systems and information technology. The Scope of our journal includes: (1) Internet of Things, (2) IT Infrastructure and Security, (3) Computational Intelligence, (4) Multi-Agent Systems, (5) Data Acquisition and Information Dissemination, (6) Software Engineering, (7) Innovation in the Digital Economy
Articles 143 Documents
Dela Web-Based Laundry Information System Using the Codeigniter Framework Khafidhoh, Nur; Agasti, Adela Fiatindra; Sujono, Sujono
NEWTON: Networking and Information Technology Vol. 5 No. 3 (2026): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v5i3.6244

Abstract

Dela Laundry, a laundry business in Banggle Hamlet, Losari Village, Ploso Subdistrict, is still experiencing operational problems due to the use of manual record-keeping. This has the potential to cause data errors, delays in information, and reduce customer satisfaction. Therefore, a web-based information system is needed to speed up the service process, minimize the risk of errors, and provide transparency of the laundry process to customers. As a solution, this study designs and develops a Laundry Information System using the CodeIgniter 4 framework with PHP programming language and MySQL database. The development method used is the Waterfall model, which includes the stages of requirement analysis, system design, implementation, testing, and maintenance. This system aims to facilitate administrators and staff in managing customer data, orders, services, and reports, as well as allowing customers to monitor the status of their laundry orders online without needing to log in. Testing results using the Black Box Testing method showed that all system functions operated properly without any significant errors being detected. In addition, a feasibility test conducted through a questionnaire to users obtained an average score of 88%, which falls into the “Good” category and is suitable for use. Thus, this system is capable of making operational processes more structured, efficient, and transparent, as well as increasing customer satisfaction and supporting the development of small to medium-scale laundry businesses.
Implementation of Smart Chatbot on Skincare E-Commerce Website Using Groq API Lusi, Lusi; Tholib
NEWTON: Networking and Information Technology Vol. 5 No. 3 (2026): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v5i3.6868

Abstract

Slow and limited availability of customer service during specific hours continues to be a significant challenge in the e-commerce sector, especially when it comes to providing prompt, detailed, and accurate product information. This study effectively created and implemented an intelligent chatbot utilizing the Groq API, which is capable of delivering automated, real-time customer assistance around the clock. The Groq API was chosen for its capacity to handle natural language data with exceptionally low latency, facilitating quick interactions between users and the system. The chatbot system was integrated into a skincare e-commerce platform and developed using the Waterfall methodology, which outlines the stages of requirements analysis, system design, implementation, testing, and maintenance. The system underwent functional testing and showed rapid and precise response performance. The testing outcomes reveal that the chatbot can provide replies with an average response time of roughly ±1.4 seconds and a response accuracy rate of 90%. Moreover, the chatbot is adept at maintaining appropriate domain boundaries while addressing out-of-context or non-skincare-related inquiries. Based on these findings, it can be concluded that the designed chatbot operates effectively, improving customer service efficiency, speeding up the product consultation process, and potentially enhancing customer satisfaction and loyalty on skincare e-commerce sites.
Implementation of a Mamdani Fuzzy-Based Decision Support System for Determining Social Assistance Priorities Alamsyah, Muslim; Arif, Mochammad Firman
NEWTON: Networking and Information Technology Vol. 5 No. 3 (2026): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v5i3.6944

Abstract

Determining the priority of social assistance recipients is a semi-structured problem commonly faced by village governments and social institutions. The manual and subjective selection process often leads to mistargeting and inequitable distribution of aid. This study aims to implement a Decision Support System (DSS) based on the Mamdani Fuzzy method to determine the priority of social assistance recipients. The research object is data on prospective social assistance recipients in Sidowayah Village, Beji District, Pasuruan Regency. The criteria used include income, number of dependents, housing conditions, and employment status. The Mamdani Fuzzy method was selected because it effectively handles uncertainty and linguistic data in the decision-making process. The results demonstrate that the developed system can produce objective, consistent, and adaptive priority rankings for social assistance recipients compared to manual methods and the SAW method. Expert validation through interviews with village officials indicates that the system is deemed feasible for implementation, rated as valid to highly valid.