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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Sri Lestari Rahayu
Institut Teknologi Sawit Indonesia
Computer Science & IT Engineering

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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.
Co-Authors Erika Binjes Sagala Jelita Anjelina Siburian Ritna Wahyuni