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PENERAPAN METODE ROI DAN TOPSIS DALAM PERANCANGAN SISTEM CERDAS INVESTASI TAMBAK IKAN BERBASIS WEB Dian Pramadhana; Dita Rizki Amalia; Sonty Lena; Ahmad Lubis Ghozali
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6129

Abstract

The fisheries sector plays an important role in the Indonesian economy, especially in supporting national food security. Fish farming, including ponds, has great potential to increase food production. However, this sector faces various challenges, especially related to capital and low investment interest. In fact, this sector holds promising economic opportunities. Many pond owners have difficulty getting access to capital and are not yet optimally connected with potential investors. This study aims to design a prototype of an intelligent system that can connect landowners with investors efficiently. In designing the system, the researcher applied two analysis methods, namely Return on Investment (ROI) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The ROI method is used to analyze investment feasibility by calculating the projected profit of pond investment that is more open to potential investors. Meanwhile, the TOPSIS method is used to recommend the best investment alternatives to potential investors based on several criteria such as profit, capital, location, type of fish, and harvest time, so that it can help potential investors in making investment decisions. Based on the case study, Pond A obtained an ROI of 67.36% and based on the TOPSIS analysis, Pond A obtained the highest preference value (Vᵢ = 0.9203). This study uses the Research and Development (R&D) method and the results of this study are in the form of an initial system design that has not been fully implemented. The system design that applies the ROI and TOPSIS methods is expected to be the basis for developing a more comprehensive system in the next stage. This system not only offers innovative solutions in fish pond investment, but also presents a data-based decision-making model that increases transparency and efficiency of investment in the fisheries sector.
PERANCANGAN UI/UX SISTEM INFORMASI CERDAS UNTUK MONITORING PERTUMBUHAN DAN PREDIKSI PANEN MANGGA BERBASIS WEB: UI/UX Design of an Intelligent Information System for Web-Based Mango Growth Monitoring and Harvest Prediction Dian Pramadhana; Darsih; Riyan Farismana
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.v11i2.8229

Abstract

Mango is one of Indonesia's leading horticultural commodities with high economic value and significant potential to support the productivity of the agricultural sector. However, monitoring plant growth, recording plant development, and scheduling harvest activities in most mango plantations are still carried out manually, resulting in fragmented information and increasing the risk of inaccurate harvest timing. This study aims to design the User Interface (UI) and User Experience (UX) of a web-based Intelligent Information System for Mango Growth Monitoring and Harvest Prediction using the Design Thinking method. The proposed method consists of five stages, namely Empathize, Define, Ideate, Prototype, and Testing, which emphasize a user-centered approach to developing an intuitive and user-friendly interface. The results of this study produced a web-based prototype consisting of five main interfaces: Dashboard, Plant Monitoring, Harvest Prediction, Harvest Calendar, and Reports. Each interface was designed to support plant growth monitoring, harvest prediction, harvest schedule management, and integrated reporting of harvest activities. The proposed UI/UX design is expected to serve as a reference for developing a more effective mango monitoring and harvest prediction information system, improve system usability, and support decision-making in mango plantation management.
Rancang Bangun Sistem Informasi Pelelangan Ikan (Studi Kasus TPI Majakerta Indramayu) Riyan Farismana; Alien Agnestia; Moh. Ali Fikri; Dian Pramadhana; Darsih
Proceedings Series on Physical & Formal Sciences Vol. 9 No. 1 (2026): Seminar Nasional Teknik (SENATEK)
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pspfs.v9i1.2170

Abstract

Indramayu's position as the number one fish producer in West Java, in addition to the presence of 14 fish auction places (TPI) in Indramayu should make the price of fish better and provide additional economic benefits for fishermen. The problem that has arisen so far is that the facilities are said to be inefficient so that fishermen are forced to sell outside the TPI to maintain the freshness of the fish at uncompetitive prices. TPI Majakerta is one of the TPI that has similar problems plus the administrative process at TPI Majakerta, starting from recording the catch, announcing the bid price, to compiling the auction report, is still done manually using paper and direct recording by officers which is prone to errors. This research is intended to create a website-based fish auction system in Indramayu where the case study was conducted at TPI Majakerta. The research began with requirements, analysis, design, to implementation by creating a system prototype. The result is there are three main users: admin, auctioneer, and service. With an auction system similar to an auction at TPI, where buyers submit bids through the system, where there is a time running during the auction process and the highest bid becomes the auction winner.