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RANCANG BANGUN SISTEM INFORMASI PERMINTAAN LAYANAN DALAM LINGKUP DEPARTEMEN IT DI PT CONCORD CONSULTING INDONESIA Irma Yunita Ruhiawati; Dadang Amiruddin; Yul Hendra; Ely Nuryani; Nanang Wahyudi
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4522

Abstract

In the digital era, information technology plays a vital role in supporting business operations. Effective IT service management is essential for improving work efficiency and employee productivity. PT Concord Consulting Indonesia, an information technology consulting firm, faces challenges in managing internal IT service requests, which are still handled manually through emails, instant messaging applications, and direct communication. This unstructured process leads to several issues, such as difficulties in tracking request statuses, lack of systematic documentation, absence of clear prioritization mechanisms, and unclear task distribution. This study aims to design and develop a web-based information system for managing IT service requests to support a more organized, well-documented, and transparent process. The implementation of this system is expected to accelerate service resolution, enhance operational efficiency, and improve coordination among teams within the IT Department.
TRANSFORMASI DATA TRANSAKSI KE DERET WAKTU DAN EVALUASI MODEL PERAMALAN PERMINTAAN PADA MARKETPLACE PLAZA BANTEN Widyawati Widyawati; Dadang Amiruddin
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i1.4550

Abstract

Plaza Banten, an MSME marketplace in Banten Province, generates ordering and sales transaction data that can be leveraged to support operational decisions, particularly inventory planning and promotional timing. However, decision-making is often reactive because demand forecasting has not been systematically developed from historical transactions. This study proposes an end-to-end pipeline that transforms Plaza Banten transaction records into daily demand time-series data at the product-category (Group) level, following data preparation and modeling stages in a data mining framework. The study uses transaction data from January to December 2024 and is positioned as a continuation of a previous Market Basket Analysis (MBA) study, which indicated that high transaction volumes were dominated by packaged rice products (e.g., rice boxes and chicken rice packages), motivating a forecasting follow-up for high-demand categories with recurring purchase patterns. The preprocessing stage includes data cleaning, validation of quantity and unit price, feature construction (quantity and revenue), daily demand aggregation by category, and completion of missing calendar dates to form continuous time series. For modeling, this study compares baseline forecasting methods (Naïve and 7-day Moving Average) against an Exponential Smoothing (Holt–Winters/ETS) model that accounts for trend and weekly seasonality. Model performance is evaluated using MAE, RMSE, and MAPE to ensure measurable selection of the best approach. The forecasting results are then interpreted as operational insights to estimate demand levels per category and support inventory planning and promotional prioritization based on predicted demand trends.
ORGANIZATIONAL COMMITMENT IN MEDIATING THE INFLUENCE OF WORK ENVIRONMENT AND JOB SATISFACTION ON EMPLOYEE PERFORMANCE Egi Ginanjar; Moh. Sutoro; Dadang Amiruddin
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 5 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the influence of the work environment and job satisfaction on employee performance with organizational commitment as a mediating variable at the Banten Province Energy and Mineral Resources Office. The study used a quantitative approach with a survey method. The study population was all employees of the Banten Province Energy and Mineral Resources Office, with a sample of 113 respondents determined using probability sampling techniques. Data collection was carried out by distributing questionnaires using a five-point Likert scale. Data analysis was carried out using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with the help of the SmartPLS 4.0 application. The results showed that the work environment had a positive and significant effect on employee performance and organizational commitment. Job satisfaction had a positive and significant effect on organizational commitment, but did not have a significant direct effect on employee performance. Organizational commitment was proven to have a positive and significant effect on employee performance. In addition, organizational commitment was able to significantly mediate the effect of the work environment on employee performance and the effect of job satisfaction on employee performance. The research findings confirm that organizational commitment is a strategic variable in improving employee performance by strengthening the influence of the work environment and job satisfaction. Therefore, improving the quality of the work environment, job satisfaction, and strengthening organizational commitment need to be a priority in human resource management to support improving employee performance and organizational effectiveness at the Banten Province Energy and Mineral Resources Service.