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  • Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform

    Design of a Smart Portable Farming Kit for Indoor Cultivation Using the Raspberry Pi Platform

    Authors: Muhammad Izzad Ramli ; Muhammad Azizi Mohd Ariffin ; Zarina Zainol ; Mohd Nazrul Mohd Amin ; Dedeng Hirawan ; Irfan Dwiguna Sumitra ; Nursuriati Jamil

    DOI: 10.47836/pjst.31.4.08

    Abstract:

    The global crisis and climate change have resulted in severe food shortages worldwide. One of the solutions is self-farming by using smart farming technology. Smart and efficient agricultural production or smart farming using IoT sensors, big data, and cloud service has proven its value for a decade, but the effect depends on the agricultural environment of the country or society. Hence self-farming is likely the most feasible solution to avoid food scarcity. The smart farming system monitors and maintains essential growth parameters like light, temperature, and humidity to ensure maximum yield. In this paper, we propose a Smart Portable Farming Kit design, which is simple, lightweight, and durable to be placed indoors in an urban area. This prototype design uses the Internet of Things (IoT) based system for cultivating short-duration vegetables and mushrooms in an urban area with minimal user attention. The proposed design proved better than the traditional setup by increasing the mushroom yield. With Smart Portable Farming Kit, urban farming becomes a more viable alternative to increase food security, making oyster mushroom cultivation in the urban area easier and more profitable. © Universiti Putra Malaysia Press.

    Author Keywords:

    Food security; indoor farming; internet of things (IoT); remote farming; single board computer; smart farming; urban farming


    This article can be accessed at https://www.scopus.com/pages/publications/85164196034

  • Information System Design for Stunting Examination in Children at Wijaya Kusumah Healthcare Center

    Information System Design for Stunting Examination in Children at Wijaya Kusumah Healthcare Center

    Authors: Gadang Bagasraga ; Habib Muzakki ; Mohammad Reynaldi Rahman ; Efrizal Degriyanto ; Leonardi Paris Hasugian

    DOI: 10.1063/5.0175677

    Abstract:

    Health problems in children are very important for all circles of society. The government through healthcare center must educate parents, especially those who have children. By participating in the program at the healthcare center, they can monitor the growth of children. This research is through a system analysis method based on the results of observations and literature studies. The method in designing information systems uses a life cycle development system. The purpose of this study is to provide a design to make it easier for health workers at healthcare center to carry out stunting checks on children. Through the design of this information system, it is hoped that it can be a reference for the government in the development of an integrated healthcare center information system. © 2023 AIP Publishing LLC.


    This article can be accessed at https://www.scopus.com/pages/publications/85177567848

  • Performance Analysis for Soil Humidity Monitoring in Potato Plants Using Network Topology

    Authors: Frafana Arifudin Khawas ; Sri Supatmi

    DOI: 10.1063/5.0176475

    Abstract:

    Potatoes are a horticultural commodity that plays an important role in realizing food security. Monitoring soil moisture in the care of potato crops plays an important role in the growth and development of potatoes. There are many obstacles faced to able to supervise peatlands in Indonesia; an alternative surveillance method is needed that can reach difficult locations. One of the approaches taken is a collaboration between Wireless Sensor Network (WSN) technology and the microcontroller-based Internet of Things (IoT). The purpose of this research is to Design soil moisture sensor nodes on the network sensor wires so that the system has optimal monitoring. Implementing the Internet of Things (IoT) on the Wireless system so that the system can be accessed remotely, Comparing accuracy, distance, and speed on Tree and mesh topologies. The research method used in this research is descriptive analysis with a qualitative approach. Whereas in the application development process using Wireless Sensor Network. The system is integrated with the Internet of Things. It uses the ESP8266 as the processor of the created node sensor and uses the Raspberry Pi as the server of the entire system. The result shows that the system can be monitored remotely and make it easier for farmers to find out soil moisture. The main concept of this designing a website as an Interface that can provide information on sensors. In addition, Designing Wireless Sensor Network (WSN) and Tree, mesh, and bus network topology to receive and send data sensor nodes, implementing the Internet of Things (IoT) in the system so that the system can be monitored remotely and makes it easier for farmers to find out soil moisture. In the end, this application is present as an information medium to determine communication between sensor nodes in the agricultural world. The system also has an integrated feature with local agencies or regions to report soil moisture on potato plantations exceeding the specified humidity. © 2023 Author(s).


    This article can be accessed at https://www.scopus.com/pages/publications/85177585726

  • Geographic Information System (GIS) Application to Identify the Distribution of Tourist Attractions and Supporting Facilities Related to the Sustainable Development Goals (SDGs)

    Author: Lia Warlina ; Afredi A.

    DOI: 10.17509/ijost.v11i2.89803

    Abstract

    The purpose of this research is to examine the distribution patterns of tourism attractions, hotels, and restaurants, and to explore their implications for achieving the Sustainable Development Goals (SDGs) in Lembang District. To analyze these distributions, a quantitative approach was applied using nearest neighbor analysis and Geographic Information System (GIS) techniques. A total of 38 tourism attractions were identified, including 17 natural attractions, 17 artificial attractions, and four cultural attractions; all exhibiting dispersed distribution patterns. There are 32 hotels with random distribution patterns and 178 restaurants that are clustered. Natural attractions are characterized by hilly terrain, forests, valleys, and rivers, which result in physical separation between some sites. In contrast, artificial and cultural attractions tend to be concentrated in more accessible areas, particularly along main routes. Notably, villages such as Cikahuripan, Cikidang, Mekarwangi, Suntenjaya, Wangunharja, and Wangunsari contain tourism attractions but lack adequate supporting facilities, including hotels and restaurants. The spatial allocation of tourism attractions, accommodations, and restaurants significantly influences the achievement of the SDGs. Tourism contributes to 14 of the 17 SDGs, especially SDG 8 (promoting economic opportunities), SDG 1 (reducing poverty), and SDG 5 (advancing gender equality). © 2026 Tim Pengembang Jurnal UPI.

    Author keywords

    GIS; Nearest neighbor analysis; SDGs; Tourism attraction


    This article can be accessed at: https://www.scopus.com/pages/publications/105015322980

  • How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    How to Improve Hydroponic Leafy Vegetable Plant Productivity by Balancing Nutrient Solution, Total Dissolved Solids (TDS), and pH Completed with Literature Review on Standard Vegetable pH & TDS Requirement to Support Sustainable Development Goals (SDGs)

    Author: Senny Luckyardi ; Agis Abhi Rafdhi ; Annisa Wulan Sari; Hewa Majeed Zangana ; Eddy Soeryato Soegoto

    DOI: 10.17509/ajse.v6i1.89992

    Abstract

    This study explores how to improve the productivity of hydroponic leafy vegetables by balancing Total Dissolved Solids (TDS) and nutrient solution pH. Using bok choy in a floating raft system, the research applies a controlled experimental design to observe how these parameters interact in supporting vegetative growth and yield. Daily monitoring and careful adjustment of nutrient levels and pH are emphasized to ensure optimal nutrient uptake. Balanced TDS and pH conditions enhanced leaf formation and biomass accumulation, while imbalances caused nutrient stress and growth inhibition. This study offers practical guidance for growers to synchronize TDS and pH in real-time for improved nutrient management. The findings contribute to precision hydroponics aligned with sustainable agriculture, specifically supporting sustainable development goals (SDGs) for SDG 2 (Zero Hunger) through efficient food production and SDG 12 (Responsible Consumption and Production) by encouraging optimal use of agricultural inputs. © 2026 Universitas Pendidikan Indonesia.

    Author keywords

    Hydroponic; Leafy vegetable; pH; Sustainable development goals (SDGs); Total dissolved solids (TDS)

    This article can be accessed: https://www.scopus.com/pages/publications/105018607274

  • Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Author: Senny Luckyardi ; Muhamad Fahrezi ; Eddy Soeryanto Soegoto

    Abstract

    The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensuring regulatory compliance. This study systematically reviews the integration of blockchain and AI in financial operations using a qualitative research approach. The findings indicate that blockchain enhances transaction security through decentralization and immutability, while AI significantly improves fraud detection and risk assessment through predictive analytics and machine learning. These advancements are driven by blockchain’s ability to ensure data integrity and AI’s capacity to analyse vast datasets in real time. This research highlights the potential of these technologies to boost consumer confidence, promote financial inclusion, and enhance the resilience of digital financial systems. However, regulatory complexities, high integration costs, and interoperability issues must be addressed to enable broader adoption. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance
    This article can be accessed at: https://www.scopus.com/pages/publications/105001500348

  • Enhancing Trust in Digital Finance: Blockchain and AI for Secure And Transparent Fintech Solutions

    Author: Senny Luckyardi ; Muhamad Fahrezi ; Eddy Soeryanto Soegoto

    Abstract

    The rapid advancement of financial technology (FinTech) has brought significant innovations while raising concerns about security, transparency, and trust. This study explores how blockchain and artificial intelligence (AI) enhance trust in digital finance by strengthening security, improving fraud detection, and ensuring regulatory compliance. This study systematically reviews the integration of blockchain and AI in financial operations using a qualitative research approach. The findings indicate that blockchain enhances transaction security through decentralization and immutability, while AI significantly improves fraud detection and risk assessment through predictive analytics and machine learning. These advancements are driven by blockchain’s ability to ensure data integrity and AI’s capacity to analyse vast datasets in real time. This research highlights the potential of these technologies to boost consumer confidence, promote financial inclusion, and enhance the resilience of digital financial systems. However, regulatory complexities, high integration costs, and interoperability issues must be addressed to enable broader adoption. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Blockchain; Digital finance; Fraud detection; Regulatory compliance


    This article can be accessed at: https://www.scopus.com/pages/publications/105001500348

  • Chili Plant Monitoring System Using Yolo Object Detection Technology

    Chili Plant Monitoring System Using Yolo Object Detection Technology

    Author: Harun Sujadi ; Budiman B. ; Nunu Nurdiana ; Dony Susandi ; Elba Ghiffari Fitriasina ; Trustorini Handayani

    Abstract

    Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.

    Author keywords

    Agriculture; Chile plants; Research and development; Smart farming; YOLO


    This article can be accessed at: https://www.scopus.com/pages/publications/105002405701

  • Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Carbon Particle Size from Galangal Rhizomes as the Sustainable Adsorbent: Synthesis and Mathematical Calculation Analysis in the Adsorption Isotherm Characteristics

    Author: Asep Bayu Dani Nandiyanto ; Alifiyha Nayla Putri Akbar ; Shilla Aulia Suhandi ; Risti Ragadhita ; Dwi Fitria Al Husaeni ; Meli Fiandini ; Abdulkareem Sh. Mahdi Al-Obaidi ; Herry Saputra ; Senny Luckyardi ; Muhammad Aziz

    DOI: 10.53898/josse2024422

    Abstract

    This study investigates the impact of carbon particle size derived from Galangal Rhizomes on adsorption isotherm characteristics, aiming to establish its effectiveness as an adsorbent. Ga-langal Rhizomes were selected due to their rich carbon compounds, including cellulose, hem-icellulose, lignin, starch, pectin, and fiber, making them ideal for carbon-based adsorbents. The carbonization process involved subjecting Galangal Rhizomes to 250°C for 9 hours, then mill-ing and sieving to obtain specific particle sizes (500, 1000, and 2000 µm). Characterization was done using digital microscopy and Fourier-transform infrared spectroscopy. Batch adsorp-tion experiments were conducted using a curcumin solution as the model adsorbate, comparing results with ten standard isotherm models. Findings revealed that small carbon particles (500 µm) underwent monolayer adsorption, while large particles (1000 and 2000 µm) exhibited multilayer adsorption. The study concluded that Galangal Rhizomes-derived carbon particles are effective for colour waste cleanup, providing a natural, sustainable, and environmentally friendly solution aligned with sustainable development goals (SDGs). © 2024 Asep Bayu Dani Nandiyanto.

    Author keywords

    Adsorption; Carbon; Curcumin Solution; Isothermic galangal rhizomes; Particle distribution; Sustainable development goals

    This article can be accessed at: https://www.scopus.com/pages/publications/85214430183