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All Journal AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian RABIT: Jurnal Teknologi dan Sistem Informasi Univrab ILKOM Jurnal Ilmiah Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Teknika Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) International Journal of Management Science and Information Technology (IJMSIT) Journal Of Human And Education (JAHE) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Wahana International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Integrative Sciences Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Innovative and Creativity Jurnal Teknik dan teknologi tepat guna Jurnal Pengabdian Masyarakat Bangsa Teknologi : Jurnal Ilmiah Sistem Informasi RESWARA: Jurnal Riset Ilmu Teknik Journal of Digital Technology and Computer Science
Ritna Wahyuni
Institut Teknologi Sawit Indonesia
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Journal : journal of digital technology and computer science

 1 
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: 10.66053/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 model was developed using simple linear regression based on 39 monthly production records. Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (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 = 0.8716, 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 Web-Based Information System for Palm Oil Derivative Product Education Febriani Putri Wulandari; Ritna Wahyuni; Andi Prayogi; M. Ilham Saputra
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: 10.66053/dtcs.v3i2.839

Abstract

Purpose – Public literacy regarding palm oil derivative products remains limited, while structured and accessible educational resources are still scarce. This study aimed to design and develop a web-based information system that provides organized educational content on palm oil derivative products and supports public access to information on downstream palm oil industries. Methods – This study employed a library research approach using secondary data from scientific literature, government publications, and official references related to palm oil derivative products. System requirements were analyzed and modeled using Unified Modeling Language (UML). The system was developed using HTML, CSS, PHP, MySQL, the Laravel Framework, and Laragon. Functional evaluation was conducted using Black Box Testing on 14 core system features. Findings – The study produced a web-based educational information system containing categorized content on oleofood, oleochemical, and bioenergy products, supported by article, video, search, and administrative content-management features. Functional testing showed that all 14 test scenarios were successfully completed, resulting in a functional success rate of 100%. Research implications – The findings indicate that the system is functionally reliable for delivering structured educational information on palm oil derivative products. However, the evaluation was limited to functional testing and did not assess usability, user satisfaction, or educational effectiveness. Originality – This study contributes a specialized web-based educational platform that integrates categorized palm oil derivative product information, multimedia resources, and centralized content management within a single system.
Design and Development of a Web-Based Attendance System Using QR Code ID Cards and Geofencing Validation Aslina Gulo; 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: 10.66053/dtcs.v3i2.901

Abstract

Purpose – Manual attendance in plantation operations suffers from high administrative vulnerability and data fraud, creating an efficiency gap for remote work units. This study aims to develop a low-cost, web-based employee attendance information system utilizing static QR Code ID cards for Palm Oil Plant. Methods – The system was engineered using a plan-driven Waterfall lifecycle model, encompassing UML design, Laravel 10 framework implementation, a MySQL database layer, and rigorous verification via 22 granular Black Box Testing operational scenarios. Findings – The prototype successfully deployed multi-layered authentication features, returning a 100% "Compliant" status during testing. Single-user performance benchmarks recorded highly responsive empirical latencies: 320 ms for QR matrix string extraction, 145 ms for geofence processing, and 42 ms for MySQL database commits. Research Implications – The study's scope was limited by single-user benchmark testing and a lack of live database API integration into corporate SAP payroll systems. Practically, this architecture supports the technical feasibility of open-source web applications in shifting infrastructure weights away from enterprises operating in severe industrial dust environments. Originality – The value lies in the operational synthesis of an open-source framework, Haversine-driven geofencing, and visual capture customized for low-connectivity plantation workers. Future steps must focus on transitioning toward offline-first Progressive Web Apps (PWAs) and integrating lightweight machine learning models (such as FaceNet or MediaPipe) to transition from passive visual documentation to automated biometric verification.
AI-Assisted Barcode Inventory Management for Plantation Warehouse Operations in a Desktop Environment Bintang Florentina Aruan; 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: 10.66053/dtcs.v3i2.933

Abstract

Purpose – This study aims to Development of a Desktop-Based Warehouse Inventory Management Application with Barcode Technology Integration Methods – The study used a Research and Development approach with the Waterfall development model. Data were collected through literature study, observation, and interviews, while system functions were validated using Black Box Testing. Findings – The developed application supports item data management, category, unit, warehouse location, incoming goods, outgoing goods, stock adjustment, inventory reporting, minimum stock alerts, and an Inventory AI Assistant as a supporting database-search feature. The testing results indicate that the main functions run according to the planned scenarios. Research implications – The system can serve as an initial solution to support more orderly and traceable inventory administration in a plantation warehouse environment. Originality – This study positions barcode as an item-identification mechanism in a local desktop application and includes an Inventory AI Assistant that is limited to database-based information retrieval.  
Cloud-Based Mobile Monitoring of Mechanic Work Performance and Reporting in Oil Palm Plantation Workshops Mutiara Cahyani; Ritna Wahyuni; Raden Aris Sugianto
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: 10.66053/dtcs.v3i2.935

Abstract

Purpose – Work reporting and mechanic activity monitoring in oil palm plantation workshops are still largely performed manually, resulting in delays in information delivery, recording errors, and difficulties in tracking work histories. This study aimed to develop a mobile application to support mechanical performance monitoring in a more structured and documented manner. Methods – This study employed the Extreme Programming (XP) methodology, which consists of the Planning, Design, Coding, and Testing phases. Data were collected through observations, interviews with the Workshop Assistant, and a literature review. The application was developed using C#, .NET MAUI, and a cloud database for centralized data management. Findings – The developed application integrates daily work reporting, activity documentation, work history management, user management, and report downloading into a single platform accessible to administrators and mechanics. Black Box Testing showed that all tested functions operated according to predefined requirements. Research Implications – The findings demonstrate the potential of mobile and cloud-based information systems to support the digitalization of reporting processes and operational information management in oil palm plantation workshops. However, the evaluation was limited to functional testing within a single workshop environment and did not include usability, user acceptance, or long-term operational impact assessments. Originality – This study presents a mobile application specifically designed for oil palm plantation workshops by integrating mechanic performance monitoring, work reporting, activity documentation, work history management, and cloud-based data management within a single platform.
Web-Based Employee Records Governance for Document Traceability and Verification in Plantation Workforce Administration Contexts Natalia Fransiska Ginting; Ritna Wahyuni; Raden Aris Sugianto
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: 10.66053/dtcs.v3i2.988

Abstract

Purpose – Employee data administration at PT. Barumun Raya Padang Langkat Binanga Estate has traditionally relied on manual procedures, creating difficulties in information retrieval, document management, verification, and administrative processing. This study aims to develop a web-based Employee Data Management Information System supporting structured, centralized, secure, and efficient personnel administration. Methods – The study employed a Research and Development approach using the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and evaluation. Unified Modeling Language was used to model system processes and database interactions. The application was developed using PHP and MySQL, while functionality was evaluated through Black Box Testing. Findings – The resulting system integrates employee biodata, family information, supporting documents, verification workflows, reporting functions, and role-based access control in a centralized platform. Functional evaluation involved 15 testing scenarios covering authentication, employee data management, document handling, verification, reporting, and user access control. All tested functions produced outputs consistent with the specified requirements, indicating that the system operated correctly. The platform is expected to improve data organization, document control, verification accuracy, and administrative accessibility. Research Implications – The system is limited to employee data and document management and does not include payroll, attendance, recruitment, or performance appraisal modules. Evaluation was also restricted to functional testing. Future studies should therefore assess usability, performance efficiency, reliability, security, and user satisfaction through empirical testing. Originality – This study contributes an integrated personnel administration platform designed for plantation company operations, combining biodata, family records, supporting documents, verification mechanisms, reporting, and role-based access within a single web-based environment.
SIM PSR: A Web-Based Monitoring Platform for Cooperative-Level Smallholder Palm Oil Replanting Program Management Syarifatu Assolehah; Ritna Wahyuni; Raden Aris Sugianto
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: 10.66053/dtcs.v3i2.1006

Abstract

Purpose – The Smallholder Palm Oil Replanting Program (PSR) seeks to improve the productivity of smallholder plantations by replacing aging oil palm trees with certified superior seedlings. However, monitoring at the cooperative level is often hindered by manual record-keeping and fragmented reporting, reducing the efficiency of supervising program implementation. This study aims to develop and evaluate a web-based monitoring information system for the PSR program at Koperasi Tani Makmur Berjaya, Air Hitam Village, North Labuhanbatu Regency. Methods – The system was developed using the Waterfall methodology with UML-based system modeling and implemented using PHP and MySQL. It supports three user roles administrator, field officer, and participant with permissions tailored to operational responsibilities. Functional performance was evaluated through developer-conducted Black Box Testing across 25 functional test scenarios involving administrator, field officer, and participant roles. Findings – Functional testing demonstrated that the proposed system supports the management of participant information, land data, documents, stage-based monitoring records, and PDF report generation under controlled testing conditions. It supports monitoring for 116 participants across approximately 480 hectares in five villages. Testing confirmed that all functions operated as intended without identified functional failures. Research Implications – The proposed system provides a centralized digital platform for cooperative-level PSR monitoring. However, the findings are limited to a single cooperative implementation and developer-conducted functional testing, without independent usability evaluation, independent or advanced security assessment, or long-term operational validation beyond the basic internal security checks conducted in this study. Originality – This research presents a web-based monitoring system specifically designed for cooperative-level PSR management in Indonesia, integrating role-based access control, stage-oriented progress monitoring, and automated report generation within a unified platform.
Co-Authors Abu Bakar Abu Bakar Ade Junesa Ade saputra Ade Saputra Adi Widjajanto Ahmad Billy Sutanto Ahmad Fauzi Pangaribuan Aldi Krisdian Aldo Dana Asneri Ahmad Lubis Alvin Arinanda Alvin Arinanda Ananda Afriandi Ananda, Aulia Andi Prayogi Andi Prayogi Arum Rakhmasari Octivaningsih, Arum Rakhmasari aska, bayu pratama Aslina Gulo Aulia Juanda Djaingsastro bayu pratama aska Bifrans Andre Batubara Billy Hendrik Bintang Florentina Aruan Bisma Agung Bistok Gumartop Delyana R. Pulungan Dhany Fadlur Rohman Dimas Bagus Setiawan Dimas Napitupulu Dina Arfianti Saragih Dinni Saqina Dion Nantoyo Dwi Latifah Intan Ahadani Erika Binjes Sagala Erin Triani Sipayung Fahrizal Fahrizal Febriana Roosmawati Febriani Putri Wulandari Firdaus Firdaus daus Firdaus Firdaus Ginting, Henrico Gunadi Widi Nurcahyo Guntoro Hasibuan, M Fariz Afif Ika Ucha Pradifta R INDAH SARI SIAGIAN Ingrid Ovie Yosephine ismatul khoiriyah Jamhur, Annisak Izzaty Jelita Anjelina Siburian Khairul Alfazar Khairul Imam Khairul Saleh Kisah Tiara Sihombing M. Ilham Saputra Ma'sum, Hadiansyah Maghfirah Mahyunis Maiyendra, Nico Alvio Manurung, Saroha Mardhiah Masril Marfalino, Hari Marpaung, Ozi Rizal Maudy Hellena Harlyn Mega Fatimah Rosana Mohammad Muslimin Muhammad Akbar Syahbana Pane Muhammad Arif Mutiara Cahyani Mutiara Cahyani Najib, Zaki Abdullah Natalia Fransiska Ginting Nico Alvio Maiyendra Novita Triana Nurhida Yani Lubis Pratomo, Dhanu Bagas Prayogi, Andi Pulungan, Delyanti Azzumarito Purjianto Putra , Rio Andika Raden Aris Sugianto Raden Aris Sugianto Rahmi , Riri Rahmi, Riri Rasyid, Mhd Andi Ratu Mutiara Siregar Ratu Mutiara Siregar Rina Maharany Rio Andika Putra Riri Rahmi Rizki syawaluddin Riztrya Novedliani Sarjon Defit Sayyid Murtadhah Nst1 Simbolon, Hasanal Fachri Satia Sri Lestari Rahayu Sri Lestari Rahayu Sri Murti Tarigan Sri Wahyuna Saragih Syarifatu Assolehah Tifany Zia Aznur Triansyah, Angga Zein, Ruri Hartika Zia