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Zaenal Alamsyah
Nusa Putra University

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Prediction of Nile Tilapia Fingerling Production Using Multiple Linear Regression Alfiansyah Hidayat; Gina Purnama Insany; Zaenal Alamsyah; Evi Amriawati; Muhammad Nurdin
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2829

Abstract

The production of Nile tilapia fingerlings plays a crucial role in ensuring the sustainability of freshwater aquaculture systems, particularly in Indonesia, where tilapia is a major source of protein and livelihood. Accurate prediction of fingerling output can significantly enhance resource efficiency, reduce operational costs, and support economic sustainability in hatchery operations. This study aims to predict fingerling production based on environmental factors and feed quantity, using data from the Center for Freshwater Aquaculture Development (BBPBAT) in Sukabumi, Indonesia. Multiple Linear Regression (MLR) was chosen for its interpretability and suitability for modeling linear relationships in moderate-sized datasets. MLR was applied to model the relationship between water temperature, pH, dissolved oxygen (DO), ammonia concentration, and feed quantity with fingerling production. The dataset consisted of 147 historical records, and model performance was evaluated using R² = 0.836, Mean Absolute Error (MAE) = 35,664, Mean Squared Error (MSE) = 2,014,982,858, and Root Mean Squared Error (RMSE) = 44,852. These results indicate a strong predictive capability. Compared to baseline mean-based predictions, the model significantly reduces forecast error and captures the production variability more effectively. Furthermore, the model was deployed via an interactive web-based tool using the Streamlit framework. This application allows hatchery staff to input current environmental conditions and feed data to generate real-time production forecasts, facilitating proactive management and better resource planning. Overall, this study demonstrates that MLR is a practical and effective tool for supporting decision-making in aquaculture production systems.
Development and Implementation of a Web-Based Village Information System to Optimize Services Fahad Rizki; Nugraha Nugraha; Zaenal Alamsyah
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2976

Abstract

Batununggal Village faces persistent challenges in administrative services, including manual processes that cause delays, inefficiencies, and limited access to information. This study develops a web-based village information system designed to optimize these services through the Prototype method. The system integrates React.js for the frontend, Laravel for the backend, and MySQL for the database, forming a scalable and user-friendly architecture. Unlike previous studies that focused only on basic services, the proposed system introduces a more comprehensive model by combining online letter submission, resident data management, UMKM promotion, transparent APBDes reporting, and citizen complaint channels.The Prototype method was applied iteratively, allowing continuous refinement based on feedback from both residents and village staff. System testing employed black-box evaluation, confirming that all features functioned as expected. Furthermore, user satisfaction was measured through a Likert-scale questionnaire distributed to 31 residents, resulting in an overall score of 81.55%, categorized as “Agree.” Similarly, evaluations from 10 village staff indicated that 70–80% found the system very helpful in supporting their tasks. These findings demonstrate that the system improves service efficiency, increases transparency, and enhances community participation in governance. In addition to addressing long-standing service issues in Batununggal Village, the system provides a replicable model for other rural communities. Future development will prioritize the integration of automated notifications and a mobile application to broaden accessibility and ensure long-term adoption.
Development of a Ton Blockchain-Based Online Donation System for Enhanced Transparency Zaenal Alamsyah; Somantri Somantri; Yoviar Pauzi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2984

Abstract

Online donation platforms in Indonesia despite the nation’s leading position in the 2024 World Giving Index continue to suffer from low public trust due to insufficient transparency in fund management. This lack of verifiability creates opportunities for fraud and misuse, ultimately deterring donor participation. Addressing this challenge, the present study proposes a novel blockchain-based donation system built on The Open Network (TON), specifically designed to embed transparency, accountability, and trust directly into the donation process through decentralized mechanisms. Unlike previous platforms that rely on centralized fund tracking, this system integrates smart contracts programmed in the Tact language to automate and enforce donation logic without human intervention. Core functionalities include campaign creation, donation receipt, fund withdrawal, and balance transfers all of which are transparently recorded and publicly accessible on the blockchain. The system achieved 100% functional suitability and a 94% usability score, based on evaluations involving 36 participants, while all 14 smart contract unit test scenarios returned successful outcomes. These results highlight the platform’s robustness and user acceptance. By enabling tamper-proof transaction records and public verifiability through the TON Explorer, the proposed platform demonstrates strong potential for restoring donor trust and setting new standards for transparency in digital philanthropy. The study contributes both a practical system prototype and theoretical insights into blockchain’s role in reengineering trust within charitable ecosystems, offering a replicable model for future philanthropic technologies in Indonesia and beyond.