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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

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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 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.
Sosialisasi Dan Pelatihan Pemanfaatan CHATGPT Dan AI Tools Sebagai Media Pembelajaran Dan Produktivitas Akademik: Pengabdian Ritna Wahyuni; Firdaus; Mardhiah Masril; Billy Hendrik
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.6549

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah memberikan dampak signifikan dalam dunia pendidikan, khususnya dalam mendukung proses pembelajaran dan peningkatan produktivitas akademik. Namun, masih banyak mahasiswa dan masyarakat akademik yang belum memahami pemanfaatan teknologi AI secara optimal, efektif, dan etis. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan pemahaman dan keterampilan peserta dalam memanfaatkan ChatGPT dan berbagai AI tools sebagai media pembelajaran serta pendukung produktivitas akademik. Metode pelaksanaan kegiatan dilakukan melalui sosialisasi, pelatihan praktik langsung, diskusi, dan pendampingan penggunaan AI tools dalam berbagai aktivitas akademik seperti pencarian ide, penyusunan materi, pembuatan presentasi, penulisan akademik, serta manajemen waktu belajar. Kegiatan ini melibatkan peserta dari kalangan mahasiswa dan generasi muda yang memiliki kebutuhan terhadap peningkatan literasi digital dan teknologi AI. Hasil kegiatan menunjukkan bahwa peserta memiliki antusiasme yang tinggi dan mengalami peningkatan pemahaman terkait penggunaan AI tools secara produktif, kreatif, dan bertanggung jawab. Selain itu, peserta juga mampu memanfaatkan teknologi AI untuk membantu proses belajar secara lebih efektif dan efisien. Dengan adanya kegiatan ini, diharapkan pemanfaatan teknologi AI dapat mendukung peningkatan kualitas pembelajaran dan kompetensi digital masyarakat akademik dalam menghadapi era transformasi digital.
Sistem Informasi Penggajian Koperasi Kelompok Tani (SimPegTan) Berbasis Node.js dan Express.js untuk Mendukung Digitalisasi Administrasi Pertanian ismatul khoiriyah; Raden Aris Sugianto; Ritna Wahyuni
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 16 No 1 (2026): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v16i1.6472

Abstract

Koperasi Unit Desa (KUD) Panca Sawit Makmur masih mengandalkan sistem penggajian manual yang bergantung pada pencatatan jumlah hasil panen secara fisik, penghitungan pendapatan kotor berdasarkan harga Tandan Buah Segar (TBS) dari perusahaan mitra secara manual oleh bendahara, serta penyalinan slip gaji individu secara tertulis oleh ketua kelompok. Rantai birokrasi yang panjang tersebut menyebabkan inefisiensi waktu, tingginya risiko kesalahan pencatatan, dan rendahnya transparansi informasi penggajian bagi anggota kelompok tani. Penelitian ini bertujuan merancang, mengembangkan, dan menguji sistem informasi penggajian berbasis web bernama SimPegTan guna mengotomatisasi administrasi penggajian serta meningkatkan efisiensi, akurasi, dan transparansi pengelolaan keuangan koperasi. Metode pengembangan yang digunakan adalah Waterfall, mencakup tahap analisis kebutuhan, perancangan, implementasi, dan pengujian. Sistem dibangun menggunakan Node.js dan Express.js sebagai framework utama, serta MySQL dan EJS dengan arsitektur server-side rendering, dilengkapi fitur ekspor laporan Excel (ExcelJS), generasi PDF (Puppeteer), keamanan autentikasi berbasis bcrypt, log aktivitas otomatis, serta mekanisme soft-delete dan recycle bin. Pengujian fungsional menggunakan black-box testing terhadap 18 skenario uji menunjukkan seluruh fitur berjalan sesuai yang diharapkan. Sistem berhasil mengotomatisasi perhitungan gaji berdasarkan jumlah hasil panen dan harga TBS, menghasilkan laporan keuangan format Excel, menerbitkan slip gaji individual dalam format PDF, serta menerapkan manajemen akses berbasis tiga peran pengguna (bendahara, ketua kelompok tani, dan anggota kelompok tani). SimPegTan terbukti menggantikan sistem manual di KUD Panca Sawit Makmur dengan meningkatkan efisiensi, meminimalkan risiko kesalahan perhitungan, dan meningkatkan transparansi informasi keuangan bagi seluruh anggota koperasi.
PENERAPAN METODE SAW DALAM SISTEM PENDUKUNG KEPUTUSAN EVALUASI HARGA POKOK SAWIT PTPN IV REGIONAL II INDAH SARI SIAGIAN; Raden Aris Sugianto; Ritna Wahyuni
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7873

Abstract

Determining the Cost of Goods Manufactured (COGM) of processed palm oil products remains a significant challenge for PT Perkebunan Nusantara IV Regional II. The large number of interrelated cost components and the absence of a structured analytical system have caused the evaluation process to be less optimal. This study aims to implement the Simple Additive Weighting (SAW) method in a web-based Decision Support System to evaluate the COGM of Crude Palm Oil (CPO) products. The SAW method was selected due to its ability to objectively assess multiple criteria through normalization, weighting, and preference value calculations. The data used include raw material costs, labor costs, factory overhead costs, and selling prices from January to December 2024, consisting of 12 production month alternatives and 4 main criteria. The results showed that the SAW method was able to generate a ranking of production cost efficiency, where September obtained the highest preference value of 0.8407, while August had the lowest value of 0.5861. The developed system has passed validation testing with 100% conformity to manual calculations and successfully passed functionality testing using the black box method. Therefore, the implementation of the SAW method has proven effective in assisting management in evaluating COGM more quickly, objectively, and measurably, as well as supporting decision-making related to production cost efficiency at PT Perkebunan Nusantara IV Regional II.  
SISTEM MONITORING SUHU DAN KELEMBAPAN BERBASIS IoT TERINTEGRASI APLIKASI MOBILE DI RUANG SERVER PTPN IV: IoT-BASED TEMPERATURE AND HUMIDITY MONITORING SYSTEM INTEGRATED WITH A MOBILE APPLICATION IN THE PTPN IV SERVER ROOM Ahmad Billy Sutanto; Raden Aris Sugianto; Ritna Wahyuni; Andi Prayogi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7912

Abstract

A server room requires stable environmental conditions to maintain the performance of electronic devices, as excessive temperature and uncontrolled humidity can cause hardware damage. Manual monitoring implemented in the server room of PTPN IV Regional I still has limitations, such as delayed detection and the absence of digital data recording. This study aims to design and implement an Internet of Things (IoT)-based temperature and humidity monitoring system using a DHT22 sensor and ESP32 microcontroller. Data are transmitted in real-time to Firebase Realtime Database and displayed through a Flutter-based mobile application called ServGuard. The system is also equipped with remote Air Conditioner (AC) control features using an IR Transmitter. This research applied a quantitative approach through observation, direct measurement, and system testing. The results showed an average temperature reading difference of 0.23°C and humidity difference of 1.08% RH compared to standard measuring instruments. The alarm system was automatically activated when the temperature exceeded the predefined threshold, and all AC control commands were successfully executed. The ServGuard application and Firebase operated stably in real-time data synchronization. The developed system proved to be more effective than manual monitoring methods and has the potential for further development through artificial intelligence integration.  
IMPLEMENTASI YOLOV11 UNTUK SISTEM DETEKSI OTOMATIS SENSUS KELAPA SAWIT : IMPLEMENTATION OF YOLOV11 FOR AUTOMATIC DETECTION SYSTEM OF OIL PALM CENSUS Zia; Raden Aris Sugianto; Ritna Wahyuni; Ratu Mutiara Siregar
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7915

Abstract

Oil palm tree census plays a crucial role in plantation management, influencing production planning and managerial decision-making. Manual counting using drone imagery in QGIS is time-consuming and prone to human error. This study aims to design and implement an automatic oil palm tree census detection system using the YOLOv11 algorithm integrated with QGIS. A quantitative approach with system development methodology was employed. Drone imagery was processed in Agisoft Metashape to produce orthomosaic GeoTIFF images, then annotated via Roboflow and trained using YOLOv11 for 100 epochs. Detection was performed using SAHI (Sliced Aided Hyper Inference) with 640×640 pixel tiles (25% overlap) and DBSCAN deduplication. The system successfully detected 4,886 oil palm trees in Block P14402 Sei Baleh Estate PT BSP (±24 Ha). Model evaluation yielded Precision 0.96, Recall 0.95, mAP@IoU=0.5 of 0.98, and F1-Score 0.955. Black Box Testing across 9 functional scenarios all passed. The automated system proved significantly more efficient than the manual method, supporting digitalization of oil palm plantation management.
RANCANG BANGUN APLIKASI PENCATATAN HASIL TIMBANGAN TBS BERBASIS DESKTOP DI RUMAH ANGKUT MINYAK (RAM) Erika Binjes Sagala; Ritna Wahyuni; Sri Lestari Rahayu
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7919

Abstract

Oil palm plantations have an important role in supporting the national economy, especially through the production and distribution of Fresh Fruit Bunches (FFB). The weighing process is very important in the operational activities of the Oil Transport House (RAM) because it can determine the value of transactions and production reports. However, many RAM companies still use book-based manual logging systems, which often lead to logging errors, delays in compiling reports, and the risk of data loss. This condition shows that a computerized information system is needed to improve the accuracy and efficiency of recording weighing results. The purpose of this research is to create and develop a desktop-based application that can record the results of weighing FFB in RAM. The system was developed using the Waterfall model of the System Development Lifecycle (SDLC), which consists of planning, analysis, design, and implementation stages with data collection through literature studies, observations, and interviews. The application was developed using the Java NetBeans and MySQL database management systems, and uses data collection methods such as observation, interviews, and literature studies. The results of the study show that the application built is able to produce balance slip bonds, daily, monthly and annual reports, as well as automatically calculate transaction data. System testing using the Black Box Testing method shows that all application features can run according to the features designed and declared valid. Thus, the application developed is able to improve operational efficiency, reduce recording errors, speed up the reporting process, and support more effective processing of FFB balance data at Oil Transport Houses (RAM)
RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEMANEN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEB Jelita Anjelina Siburian; Ritna Wahyuni; Sri Lestari Rahayu
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7954

Abstract

Evaluation of oil palm harvesters' performance at PTPN IV Regional 4 Solok Selatan Plantation is still conducted manually, resulting in delays in reporting and calculation errors that affect the accuracy of determining the best harvester. This study aims to design and develop a web-based Decision Support System (DSS) implementing the Simple Additive Weighting (SAW) method to provide efficient, objective, and transparent performance evaluations based on harvest production, attendance level, and harvest quality/loose fruit criteria. This research employed a quantitative approach using a system development method. Data were collected through observations and interviews at the research site. The system was developed using the prototype model with PHP programming language, MySQL database, and Bootstrap 5.3 framework. The SAW method was implemented through value normalization, criteria weighting, and weighted summation processes to generate preference scores for each harvester. The developed system successfully automated the calculation of harvester rankings based on three main criteria in real time. Functional testing showed that all modules operated according to the design, including daily data input, monthly evaluation, SAW calculations, ranking graph visualization, and PDF report export features. The implementation of a web-based DSS using the SAW method effectively replaced the manual process in determining the best harvester, resulting in more accurate, consistent, and accountable evaluations. Future development is recommended to include integration with digital attendance systems and the implementation of automatic weighting methods to improve the objectivity of criteria weight determination.
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.
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