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Digital Image–Based Document Authenticity Analysis Using The Daus Approach Through Texture Feature Extraction And Visual Characteristics Ritna Wahyuni; Firdaus
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6104

Abstract

Document authenticity is a critical issue in administrative, academic, and legal environments due to the increasing ease of document manipulation using digital technologies. This research focuses on analyzing document authenticity based on digital image processing by utilizing the DAUS approach through texture feature extraction and visual characteristics. The problem addressed in this study is how to effectively distinguish between authentic and manipulated documents using image-based analysis. The proposed approach involves processing scanned or photographed document images to extract texture features and visual cues, such as surface patterns, ink distribution, and structural inconsistencies, which may indicate alterations. These features are then analyzed to identify differences between original and non-original documents. The results of the analysis demonstrate that the combination of texture features and visual characteristics can provide meaningful information for detecting document authenticity. This study concludes that digital image–based analysis using the DAUS approach offers a promising alternative to manual inspection, enabling a more objective and systematic method for document verification. The findings are expected to contribute to the development of reliable document authentication systems in various practical applications.
Peningkatan Daya Saing Produk Masyarakat Melalui Penerapan Manajemen Strategis Berbasis Sosialisasi Dan Pendampingan Berkelanjutan Putra , Rio Andika; aska, bayu pratama; Firdaus; Wahyuni , Ritna
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 1 (2026): JURMAS BANGSA
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jurmas.v4i1.996

Abstract

Permasalahan utama yang dihadapi masyarakat dalam pengembangan produk lokal adalah rendahnya daya saing akibat keterbatasan pemahaman terhadap manajemen strategis, khususnya dalam perencanaan, pengelolaan usaha, dan pengambilan keputusan bisnis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan daya saing produk masyarakat melalui sosialisasi dan pendampingan penerapan manajemen strategis secara berkelanjutan. Metode yang digunakan meliputi sosialisasi konsep dasar manajemen strategis, diskusi partisipatif, serta pendampingan langsung dalam menyusun strategi usaha yang meliputi analisis lingkungan, penentuan tujuan, dan strategi pemasaran. Hasil pengabdian menunjukkan adanya peningkatan pemahaman dan kemampuan masyarakat dalam menerapkan manajemen strategis pada usaha mereka, yang berdampak pada peningkatan kualitas produk, efisiensi pengelolaan usaha, serta kesiapan menghadapi persaingan pasar. Kegiatan ini diharapkan dapat mendorong kemandirian ekonomi dan keberlanjutan usaha masyarakat.
"PULER" INNOVATION: PALM OIL MILL SOLID WASTE AS ORGANIC FERTILIZER TO SUPPORT SDG'S 12 Ika Ucha Pradifta R; Tifany Zia Aznur; Saroha Manurung; Aulia Juanda; Mahyunis; Dina Arfianti Saragih; Delyana R Pulungan; Ritna Wahyuni
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18725029

Abstract

Palm oil mill boiler ash is a solid industrial waste available in large quantities, but its utilization is still limited. This waste has alkaline properties and nutrient content that has the potential to improve the physical-chemical properties of tropical acid soils, such as pH, cation exchange capacity, and macronutrient availability, making it a potential sustainable soil ameliorant. This study aims to process organic fertilizer, namely an organomineral product based on boiler ash, with the aim of evaluating its chemical characteristics and assessing its potential application as a soil ameliorant. The analysis results show that Puler has a pH value of 9 and a nutrient composition that can improve soil quality without heavy metal concentrations above the Indonesian national standard threshold. These findings indicate that Puler can be an efficient alternative ameliorant and supports the utilization of palm oil industry waste. In addition, this puler also meets the criteria for organic fertilizer standards according to SNI 7763:2024
Crude Palm Oil (CPO) Production Prediction Information System Using A Linear Regression Algorithm Erin Triani Sipayung; Ritna Wahyuni; Ratu Mutiara Siregar
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/dtcs.v3i2.679

Abstract

Purpose – Crude Palm Oil (CPO) production fluctuates with Fresh Fruit Bunches (FFB) supply and operational conditions, making production planning difficult for palm oil mills. This study develops a CPO production prediction information system that integrates a simple linear regression model into a Progressive Web Application (PWA) to provide an accessible decision-support tool. Methods – The study used 39 monthly production records from PTPN IV Regional II Adolina Palm Oil Mill, covering January 2023 to March 2026. FFB was used as the independent variable and CPO production as the dependent variable. The model was developed using simple linear regression, evaluated through an 80/20 train-test split, MAE, RMSE, and R², and implemented in a PWA-based system using PHP and MySQL. Findings – The regression model produced the equation Y = -101.869 + 0.238X. The model achieved R² = 0.872, MAE = 279.80 tons, and RMSE = 335.72 tons. With average monthly CPO production of 2,000–3,000 tons, the MAE represents an approximate error rate of 10–14%, indicating moderate predictive performance. Research implications – The findings are useful for preliminary production planning, but generalization is limited by the use of one predictor, 39 observations, one palm oil mill, and the absence of k-fold cross-validation. Originality – This study contributes by combining an interpretable linear regression model with a PWA-based system for real-time CPO prediction and visualization.
Design and Development of a Mobile Application for Palm Oil Harvest Recording and Reporting Using a User-Centered Design (UCD) Kisah Tiara Sihombing; Ritna Wahyuni; Ratu Mutiara Siregar
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27284

Abstract

The digitization of oil palm harvest recording is necessary to improve data accuracy, reporting efficiency, and operational transparency in plantation environments. The manual recording process currently used often leads to reporting delays, data inconsistencies, and errors in harvest data recording. This study aims to design and develop a mobile application for oil palm harvest recording and reporting using a User-Centered Design (UCD) approach to meet user needs and field conditions. The research methods included observation, interviews, user needs analysis, system design, prototype development, and system evaluation. Functional testing was conducted using black-box testing, while usability testing utilized the System Usability Scale (SUS). The developed application provides features for recording fresh fruit bunches (FFB), loose fruit recording, photo documentation, offline data storage, automatic synchronization, foreman validation, and periodic reporting. The test results indicate that all system features functioned properly and achieved an average SUS score of 77.75, which falls into the “Good” category. These results demonstrate that the application is easy to use and accepted by users. Thus, the User-Centered Design approach successfully produced a practical, efficient, and user-friendly application to support oil palm harvest data management.