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All Journal Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH)
Widyawati Widyawati
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Library & Information Science

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PEMANFAATAN DATA MINING UNTUK IDENTIFIKASI POLA PEMBELIAN PRODUK PLATFORM PERDAGANGAN ELEKTRONIK E-COMMERCE PLAZA BANTEN Widyawati Widyawati; Eka Ramadhani Putra; Selly Septiani
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i1.4454

Abstract

Digital transformation opens strategic opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand market reach through electronic commerce platforms. Plaza Banten is a digital marketplace that facilitates the promotion and sale of MSME products in Banten Province, Indonesia. Although transactions on the platform continue to increase, the utilization of transaction data for strategic decision-making has not yet been optimized. This study aims to identify consumer purchasing patterns on Plaza Banten through data mining by discovering product associations frequently purchased together and translating them into recommendations for promotions, product placement, and inventory planning. Sales transaction data were collected for a specific period and preprocessed through cleaning, transformation, and relevant attribute selection. The Apriori algorithm was applied in two scenarios: overall analysis and time-based transaction segmentation. Using a minimum support of 0.1% and minimum confidence of 60%, the analysis generated 8,117 association rules. The strongest rule achieved support = 0.348 and confidence = 98.9% (Nasi Box → Snack Box), while several segments reached confidence up to 100%. The highest lift value was 194.75 in the 06:00–09:00 segment, indicating highly specific co-purchase dependencies at certain times. These quantitative results reveal stable bundle patterns and time-dependent demand variations, supporting actionable strategies such as standardizing menu bundles, optimizing cross-selling offers, and prioritizing stock for high-correlation items. The resulting rules are interpreted and visualized to support Plaza Banten administrators and MSME partners in implementing data-driven decisions and strengthening the digital economy ecosystem in Banten Province.
PERANCANGAN PETA DIGITAL RUTE PATROLI BERBASIS GOOGLE MY MAPS SEBAGAI DATA DUKUNG DASHBOARD ROADMAP PATROLI MAUNG PRESISI POLDA BANTEN  Babay Suhendri; Iwan Muri Susanto; Widyawati Widyawati
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.v8i1.4470

Abstract

Polda Banten faces significant challenges in monitoring patrol effectiveness across a vast and heterogeneous jurisdiction, ranging from densely populated residential areas and industrial zones to strategic toll roads such as the Tangerang-Merak Toll Road. The limited real-time visual supervision regarding personnel compliance in following designated patrol routes remains a primary obstacle in suppressing crime rates, specifically Curat (theft with force), Curas (theft with violence), and Curanmor (motor vehicle theft). This research aims to design digital patrol route maps using the Google My Maps platform as the primary database supporting the Maung Presisi Patrol Roadmap Dashboard. The research method employed is descriptive qualitative with a systems engineering approach, involving the processing of spatial data from the 2025-2026 Patrol Roadmap document. The research phases include identifying 95 priority routes, determining geographic coordinates (geocoding), and digitizing these routes into layers based on Regional Units (Satwil), such as Serang Kota, Cilegon, and Tangerang Selatan. The result of this study is an integrated digital map prototype containing detailed street information, route lengths, and vulnerability classifications. The integration of Google My Maps into the dashboard enables leadership to monitor personnel movement precisely and compare field realization with operational work plans. The conclusion of this study indicates that the transformation from a conventional roadmap to a digital-based one enhances personnel accountability, facilitates leadership supervision, and optimizes the police's preventive response to security disturbances in real-time. The implementation of this technology is expected to serve as a model for efficient public security management in the Police 4.0 era
SISTEM PENGARSIPAN SURAT BERBASIS WEBSITE DI DINAS LINGKUNGAN HIDUP KABUPATEN SERANG Waliadi Gunawan; Roza Marmay; Tifani Intan Solihati; Widyawati Widyawati; Diego Febri Alfapin
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.v8i1.4509

Abstract

The Serang Regency Environmental Agency carries out government duties in the environmental sector in accordance with the Regional Medium-Term Development Plan in the Regional Medium Term Development Plan (RPJMD). The high volume of correspondence (incoming and outgoing mail) presents a significant performance challenge. Given that the mail management process—from receipt, creation, storage, and documentation—is still performed manually, a solution is needed. Therefore, a Letter Archive Information System developed using PHP and MySQL is crucial. This system functions to record and track all mail, aiming to simplify the process and save time and effort spent searching for archived data. After implementation, this system successfully helped administrators overcome the difficulties of inputting letter data, which was previously done manually. In conclusion, this letter archive system improved overall work efficiency, made data input more effective and efficient, and achieved high levels of satisfaction from administrators.
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.
Co-Authors Babay Suhendri Dadang Amiruddin Diego Febri Alfapin Eka Ramadhani Putra Iwan Muri Susanto Roza Marmay Selly Septiani Tifani Intan Solihati Waliadi Gunawan