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SELECTION OF ROUND EGGPLANT BASED ON COLOR AND SIZE BASED ON ARDUINO Rahady , Redwin Arie; Ayuni , Shazana Dhiya
Journal for Technology and Science Vol. 1 No. 2 (2024): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v1i2.150

Abstract

Eating vegetables is important for both humans and farmers who process them to meet consumer needs. Round eggplant is a popular vegetable because it maintains its high nutritional value even with minimal cooking, leading to increased demand. A system for sorting eggplants based on color and size using Arduino Mega is needed. The research method used is research and development to test sensor accuracy and tool reliability in accordance with the research objectives. The tool uses Arduino Mega as a microcontroller, TCS3200 sensor for eggplant color detection, and HC-SR04 sensor for object detection. During the separation process, the eggplant rounds will be moved by a conveyor using a DC motor. In the last step, the tool will direct the round eggplant into the container based on its color and size using a servo motor
Optimizing Property Tax Collection: E-KTP and Payment Reminder Approach: Mengoptimalkan Pemungutan Pajak Bumi dan Bangunan: Pendekatan E-KTP dan Pengingat Pembayaran Mulyadi, Akhmad; Syahrorini , Syamsudduha; Ayuni , Shazana Dhiya; Rosidah , Izza; Negara, Fatahillah Okra
Indonesian Journal of Law and Economics Review Vol. 18 No. 3 (2023): August
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijler.v18i3.942

Abstract

This scientific article explores the importance of community involvement in regional development, emphasizing the collaborative efforts between government, citizens, and the business sector. The study focuses on the significant influence of local revenue on the progress of a region, where higher income correlates with improved development. However, certain areas face challenges due to the relatively low contribution of Property Tax (PBB) to Regional Original Income (PAD), mainly attributed to taxpayers' lack of awareness and occasional forgetfulness in meeting payment deadlines. In response, the research proposes an innovative approach to optimize PBB collection by leveraging e-KTP-based service queuing and payment reminders. The implementation of tax education programs covering various tax obligations, such as Pph, PPN, PBB, and Bea Materai, forms a critical aspect of this strategy. The results indicate promising advancements in revenue collection, underscoring the potential implications for sustainable regional development. Highlights: Efficient Collection: Implementing an E-KTP and payment reminder-based system improves the efficiency of property tax collection, ensuring timely payments and maximizing revenue for regional development. Citizen Awareness: Raising awareness among taxpayers about their obligations through tax education programs fosters a sense of civic responsibility and encourages voluntary compliance. Sustainable Development: Optimal property tax collection plays a pivotal role in financing sustainable regional development initiatives, contributing to improved infrastructure and public services. Keywords: Property Tax, PBB, E-KTP, Payment Reminder, Regional Development
Solar Tracker Enhances Energy Yield by Over 35%: Pelacak Tenaga Surya Meningkatkan Hasil Energi Lebih dari 35% Azmi , Muhammad Zum’an; Syahrorini, Syamsudduha; Anshory , Izza; Ayuni , Shazana Dhiya
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1137

Abstract

The escalating demand for electricity, coupled with Indonesia's commitment to expanding renewable energy sources, particularly solar power, underscores the necessity for innovative approaches in optimizing solar energy utilization. This paper addresses the deficiency in traditional fixed-angle solar panels, which fail to harness solar energy efficiently due to their inability to track the sun's movement. Through a comprehensive study utilizing literature review and system design, this research aims to develop an advanced solar tracker system to enhance energy production. The proposed solar tracker employs a scanning method to adjust panel orientation every hour, ensuring optimal sunlight absorption throughout the day. The methodology encompasses literature review, system design, and partial testing to evaluate sensor functionality, battery charging circuit, real-time clock module, and stepper motor driver. Results indicate that the solar tracker system increases electricity generation by 35.53% compared to fixed-angle panels, demonstrating its efficacy in maximizing solar energy utilization. Furthermore, the system's ability to adapt to changing weather conditions underscores its potential for practical implementation in renewable energy initiatives, thereby contributing to sustainable energy development. Highlight: Energy boost: Solar tracker increases electricity generation by 35.53%. Adaptive design: Scans hourly for optimal sunlight absorption. Practicality: Suitable for real-world renewable energy applications. Keywoard: Solar tracker, Renewable energy, Energy optimization, System design, Electrical efficiency
BESS Revolutionizes Renewable Stability in Indonesia: BESS Merevolusi Stabilitas Energi Terbarukan di Indonesia Zuhri , Muhamad Saifudin; Jamaluddin, Jamaluddin; Ayuni , Shazana Dhiya; Anshory , Izza
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1158

Abstract

This study examines the integration of Battery Energy Storage Systems (BESS) with Solar Power Plants (PLTS) to enhance electrical grid stability in Indonesia, where 90% of electricity is from fossil fuels. The intermittent nature of PLTS often destabilizes the network, causing frequency hunting or blackouts. Using Etap 12.6 software, simulations showed that adding BESS to hybrid PLTS-PLTD systems significantly mitigates these issues. For instance, a 50% drop in PLTS power without BESS required a 55% increase in PLTD power, but with BESS, this increase was only 34%. Thus, BESS is crucial for stabilizing renewable energy integration and supporting Indonesia’s Net-Zero Emissions goal. Highlights: BESS Stabilizes Power: Reduces impact of PLTS power fluctuations on PLTD. Simulation Insight: 50% PLTS drop increases PLTD by 34% with BESS. Net-Zero Goal: BESS supports Indonesia’s renewable energy and emission targets. Keywords: Renewable Energy, Solar Power, Battery Storage, Electrical Grid Stability, Indonesia
Optimized Smart Home Temperature Monitoring Using IoT: Pemantauan Suhu Rumah Pintar yang Dioptimalkan Menggunakan IoT Putra, Dandi Pratama; Ayuni , Shazana Dhiya
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1170

Abstract

This research aims to monitor residential home temperatures using the Internet of Things (IoT) and Google Sheets. By adopting a Research and Development (R&D) approach, the study designs and tests a temperature monitoring tool with DHT11 sensors, NodeMCU ESP8266, and LCD displays. Data is integrated into Google Sheets for real-time access. The results show improved service efficiency, reducing waiting times to 0.41-2.45 minutes, with fewer waiting customers and lower utilization rates. This system enhances living conditions by providing easy temperature monitoring, recommending future studies to extend data collection periods for comprehensive analysis. Highlight: Efficient Monitoring: Real-time temperature data via Google Sheets. Integrated System: Uses DHT11 sensors and NodeMCU ESP8266. Research Implications: Extend data collection for thorough analysis. Keywoard: Temperature Monitoring, Internet of Things, Google Sheets, DHT11 Sensors, NodeMCU ESP8266