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Journal : MDP Student Conference

Penggunaan Algoritma Binary Search Pada Aplikasi Kamus Bahasa Teochew Clesya, Clesya; Hoendarto, Genrawan; Sudjalmo, Sugito
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11237

Abstract

The preservation of regional languages, especially the Teochew dialect spoken in Pontianak City, Indonesia. Has been impacted by globalization and technological developments. Because of environmental forces that force them to adopt Indonesian, the younger generation hardly ever employs the Teochew dialect nowadays. The Teochew dialect risks extinction over time if it is not given proper consideration right now. The goal of this project is to create a Teochew digital dictionary application that can be utilized as a learning tool and is anticipated to help conserve the language in order solve these issues. The Binary Search technique was used in the design of the Teochew language dictionary application. By using the Binary Search method, a faster and more efficient word search can be ensured. In order to optimize the Binary Search, the dictionary database used provides essential Teochew language vocabulary that has been organized alphabetically. The test results show the Binary Search algorithm can recognize words more quickly than Sequential Search, so this makes it suitable for dictionary applications that require to find words more efficiently. It is expected that this application would serve as a means of education and aid in the preservation of Teochew culture and language.
Smart Microalgae-Based Air Purification: A Self-Sustaining Alternative to Household Plants Ferdynand, Hosea; Hoendarto, Genrawan; Chang, Calvin
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11239

Abstract

A self-sustaining, Internet of Things-integrated microalgae photobioreactor (PBR) is proposed in this study as an alternative to traditional household air purifying plants. In order to optimize microalgae development while reducing human involvement, the system combines a tubular PBR with an automatic water exchange mechanism and real-time IoT monitoring. CO₂-enriched air is continuously injected by an air bubbler, boosting photosynthesis and oxygen production. A drainage system eliminates extra water to preserve nutritional balance, and a water replenishment tank with a solenoid valve ensures controlled water exchange. Essential variables such as pH, turbidity, dissolved oxygen, and CO₂ concentration are monitored by the IoT system, which also provides alerts when maintenance is required. Purified air may naturally diffuse thanks to the passive air gap, which ensures continuous air filtration. By utilizing biotechnology and intelligent automation, this low-maintenance, sustainable system provides an efficient automated alternative for conventional plants in indoor air purification.