Article Per Year (5 Year)
p-Index From 2021 - 2026
6.158
P-Index
This Author published in this journals
All Journal AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian RABIT: Jurnal Teknologi dan Sistem Informasi Univrab 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) 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 Journal of Digital Technology and Computer Science
Ritna Wahyuni
Institut Teknologi Sawit Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

Published : 53 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 53 Documents
Search

 2   3   4   5   6 
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.
Laravel Dashboard for Immature Oil Palm (TBM III) Monitoring Using XYZ Tiles and Large Language Models Maghfirah; Ritna Wahyuni; Raden Aris Sugianto
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 2 June 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i2.1449

Abstract

Purpose – This research addresses the strategic urgency of digitalizing plantation monitoring to achieve precision agriculture at PTPN IV Regional I. The monitoring of Immature Plants (TBM) III currently relies on fragmented manual spreadsheets, leading to data redundancy and delayed analysis.Methods – A web-based data visualization dashboard was developed using the Laravel framework, integrating Geographic Information Systems (GIS) with Static Raster Tiling (XYZ Tiles) to optimize high-resolution map rendering. The system incorporates Large Language Model (LLM) API integration (Gemini 1.5 Flash and Llama 3) for prescriptive analytics, transforming biometric growth data into automated maintenance recommendations through prompt engineering.Findings – Results indicate that the system achieves significant workflow simplification by transforming the fragmented, multi-stage manual reporting pipeline into an automated, single-step data ingestion process, successfully reducing administrative touchpoints. The Static Raster Tiling (XYZ Tiles) technique successfully reduced high-resolution orthophoto rendering latency from over 12,000 ms to an average of 180 ms. Validation using Fleiss' Kappa statistics yielded a score of 0.8105, categorized as "Almost Perfect Agreement," confirming that the AI-generated recommendations are highly consistent with expert agronomic standards. Research implications – This system provides a comprehensive managerial evaluation tool, bridging the gap between raw field data and strategic decision-making in oil palm management.Originality – The integration of spatial optimization and prescriptive AI analytics offers a novel approach compared to existing descriptive-only monitoring platforms.
Application of the Mamdani Fuzzy Logic Method in an Expert System for Determining Oil Palm Fertilizer Dosage Based on Soil Condition and Plant Age Rizki syawaluddin; Raden aris sugianto; Ritna wahyuni
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

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

Abstract

Fertilization accounts for 40-60% of total oil palm maintenance costs, yet smallholder farmers who manage roughly 41% of Indonesia's oil palm area still determine dosages from habit and visual estimation rather than from measured soil condition or plant age, a gap linked in field surveys to dosage errors of 25-35% relative to PPKS-recommended values. Prior decision-support tools, including web-based lookup tables and static recommendation charts, lacked dynamic input handling, did not model the inherent uncertainty in soil nutrient data, and were validated only internally without independent field verification. To close this gap, this study designed, implemented, and empirically validated SawIT PalmExpert, a Mamdani Fuzzy Logic-based expert system that recommends macro-fertilizer dosages (Urea, TSP/SP-36, KCl/MOP, Kieserite/Dolomite) from five inputs soil pH, Nitrogen (N), Phosphorus (P), and Potassium (K) obtained from accredited laboratory analysis (pH H2O 1:5; Kjeldahl N; Bray-1 P; NH4OAc K), together with plant age. The specific contribution of this research is threefold: (1) the first documented web-based expert system to integrate soil chemical status and plant age simultaneously as continuous fuzzy inputs for oil palm fertilizer dosing, rather than treating them as independent lookup criteria; (2) a 24-rule Mamdani knowledge base explicitly calibrated against PPKS agronomic standards through structured expert interviews and three rounds of rule validation, rather than derived from generic literature; and (3) a multi-dimensional empirical validation combining functional, accuracy, usability, and field simulation testing on a single deployed system. Concretely, black-box functionality testing across 10 scenarios all passed; fuzzy output accuracy testing on 15 cases against PPKS references yielded 100% conformity within a +/-10% tolerance (maximum deviation 2.9%, confined to fuzzy-set transition zones); usability testing with 10 purposively sampled respondents (6 smallholder farmers, 4 extension workers), using a validated instrument (content validity index 0.88; Cronbach's alpha 0.84), produced an overall score of 4.24/5.0 ("Very Good") across five dimensions ease of use, information clarity, response speed, recommendation relevance, and overall satisfaction; and field simulation testing on three representative soil scenarios received full agronomist approval. These results demonstrate that a laboratory-calibrated Mamdani fuzzy expert system can deliver both algorithmic accuracy and practical usability, positioning SawIT PalmExpert as a scientifically grounded, field-ready decision-support alternative to experience-based fertilization for smallholder oil palm farmers.
Pengembangan Model Kesiapan Transformasi Digital Rumah Sakit Berbasis Artificial Intelligence Menggunakan Human–Technology–Organization Framework Ritna Wahyuni; Raden Aris Sugianto
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1180

Abstract

Kemajuan pesat Kecerdasan Buatan (AI) telah mendorong organisasi layanan kesehatan untuk mempercepat inisiatif transformasi digital guna meningkatkan kualitas layanan, efisiensi operasional, dan daya saing organisasi. Namun, banyak rumah sakit masih menghadapi tantangan dalam mengimplementasikan transformasi digital berbasis AI karena tingkat kesiapan yang bervariasi di berbagai dimensi manusia, teknologi, dan organisasi. Studi ini bertujuan untuk mengembangkan model komprehensif kesiapan transformasi digital di rumah sakit dengan mengintegrasikan kerangka kerja Manusia-Teknologi-Organisasi (HTO) dengan kemampuan Kecerdasan Buatan. Model yang diusulkan meneliti pengaruh kompetensi digital, literasi AI, infrastruktur teknologi, kesiapan data, dukungan organisasi, dan budaya digital terhadap kesiapan transformasi digital. Pendekatan penelitian kuantitatif akan digunakan dengan menggunakan data survei yang dikumpulkan dari para profesional kesehatan, administrator rumah sakit, dan personel teknologi informasi. Pemodelan Persamaan Struktural (SEM) akan digunakan untuk mengevaluasi hubungan antar variabel dan memvalidasi model yang diusulkan. Temuan yang diharapkan diharapkan dapat mengidentifikasi penentu utama keberhasilan transformasi digital berbasis AI di rumah sakit dan menyediakan kerangka kerja komprehensif untuk menilai kesiapan organisasi. Studi ini berkontribusi pada pengembangan teori transformasi digital di bidang kesehatan dan menawarkan panduan praktis bagi manajemen rumah sakit dalam merencanakan dan mengimplementasikan strategi transformasi berbasis AI untuk meningkatkan kinerja layanan kesehatan dan keberlanjutan organisasi.
YOLOv11n-Based Oil Palm Health Classification Using Orthomosaic Drone Imagery Maudy Hellena Harlyn; Ritna Wahyuni; Andi Prayogi
Teknika Vol. 15 No. 2 (2026): July 2026
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v15i2.1494

Abstract

Monitoring oil palm plantation conditions across large-scale areas remains challenging because manual inspection is time-consuming, costly, and prone to observational errors. This study aims to develop a GIS-based monitoring system for oil palm health detection using the YOLOv11n algorithm and orthomosaic imagery acquired from UAV mapping. The study employed the Software Development Life Cycle (SDLC) Waterfall model and Unified Modeling Language (UML) for system development and design. The research stages included orthomosaic image acquisition, image tiling, dataset annotation, data augmentation, YOLOv11n model training, system implementation, and functional testing. The dataset was collected from oil palm plantation areas owned by PT Bakrie Sumatera Plantations and classified into three categories: healthy, unhealthy, and dead trees. The evaluation results demonstrated high detection performance with 0.99 precision, 0.99 recall, 0.99 mAP50, and 0.88 mAP50-95. The developed GEOPALM system was capable of generating centroid-based visualizations, plantation condition distribution graphs, and spatial outputs for plantation monitoring purposes. Overall, the proposed system can support faster, more efficient, and spatially structured oil palm plantation monitoring.
"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
Co-Authors Abu Bakar Ade Junesa Ade saputra Adi Widjajanto Ahmad Billy Sutanto Ahmad Fauzi Pangaribuan Aldi Krisdian Aldo Dana Asneri Ahmad Lubis Alvin Arinanda Ananda Afriandi Ananda, Aulia Andi Prayogi Andi Prayogi Andi Prayogi Andi Prayogi Arum Rakhmasari Octivaningsih, Arum Rakhmasari aska, bayu pratama Aslina Gulo Aulia Juanda Djaingsastro 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 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 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 Rahmi , Riri Rahmi, Riri Rasyid, Mhd Andi Ratu Mutiara Siregar Ratu Mutiara Siregar Rina Maharany Rizki syawaluddin Riztrya Novedliani Sarjon Defit Sayyid Murtadhah Nst1 Simbolon, Hasanal Fachri Satia Sri Lestari Rahayu Sri Lestari Rahayu Sri Murti Tarigan Syarifatu Assolehah Tifany Zia Aznur Triansyah, Angga Zein, Ruri Hartika Zia