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Peningkatan Pemahaman Literasi Moneter Masyarakat Desa Kutalimbaru melalui Kampanye Cinta, Bangga, Paham Rupiah Muhammad Anwar; Ahmad Zaki Sinulingga; Muhammad Nabil Nasution; Mahesa Marpaung; Siti Aisyah
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Mei : NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v6i2.8389

Abstract

The rupiah plays a vital role as a symbol of national identity and sovereignty, but awareness among rural communities about its function and importance is often limited. In Kutalimbaru Village, the main challenges identified are low monetary literacy, which results in physical damage to money and a lack of awareness about counterfeit money. Through the Real Work Lecture (KKN) program, community service efforts were carried out with the aim of internalizing the values of “Love, Pride, Understanding (CBP) of the Rupiah.” The approach used was community-based education through interactive workshops and practical demonstrations on money care techniques and an introduction to the security features of the Rupiah. Findings in the field show a transformation in the community's attitude; from being indifferent to being more careful in handling paper money and better understanding the role of the Rupiah in economic stability. This program has succeeded in increasing the financial literacy of citizens while strengthening the spirit of nationalism through appreciation of the national currency. Keywords: community empowerment, micro businesses, tempeh products, entrepreneurship, Sialaman Village.
Rational Design of an IoT-Based Automated Mini Maggot Farm for Optimizing Organic Waste Management Adi Purnama Syukri; Muhammad Anwar
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 2 No. 02: Driving Efficiency and Innovation: Transforming Organizations in the Era of Digital A
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v2i02.490

Abstract

This The increasing volume of household and market organic waste has become an environmental issue that requires effective and sustainable solutions. Cultivating Black Soldier Fly (BSF) maggots is one method capable of reducing organic waste while producing economically valuable products. However, traditional maggot cultivation still faces challenges in maintaining environmental conditions such as temperature, humidity, air quality, and inconsistent feeding schedules. This study aims to design and implement an Internet of Things (IoT)-based automated mini maggot farm to optimize organic waste management. The research method used is the Waterfall model, which includes planning, analysis, design, implementation, and system testing stages. The system utilizes an ESP32 microcontroller as the main controller, a DHT22 sensor for monitoring temperature and humidity, an MQ-135 sensor for detecting air quality, and an RTC DS3231 module for automated feeding schedule management. Additionally, the system is equipped with actuators such as fans, heaters, and servo motors that operate automatically based on environmental conditions. The system monitoring is conducted in real-time using the Blynk application and local display through an LCD. The testing results indicate that the system operates stably and is capable of monitoring and controlling the mini maggot farm environment automatically. The implementation of this system improves efficiency and consistency in maggot cultivation compared to manual methods. Therefore, the IoT-based automated mini maggot farm can serve as an effective solution for optimizing organic waste management and supporting sustainable smart farming practices.
PENGARUH KONSENTRASI ASAM SITRAT DAN WAKTU DEMINERALIASI PADA PEROLEHAN GELATIN DARI TULANG IKAN KAKAP MERAH (LUTJANUS SP.) Syahraeni Syahraeni; Muhammad Anwar; Hasri Hasri
Analit : Analytical and Environmental Chemistry Vol. 2, No. 01 April (2017) Analit : Analytical and Environmental Chemistry
Publisher : Jurusan Kimia FMIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/aec.v2i1.2017.p

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh konsentrasi asam sitrat dan waktu demineralisasi terhadap rendemen dan mutu gelatin yang dihasilkan. Konsentrasi asam sitrat  yang digunakan  adalah 1%, 2%, 3%, 4% dan 5% dan waktu demineralisasi yang digunakan adalah 12 jam, 24 jam, 36 jam, 48 jam, 60 jam dan 72 jam. Karakterisasi gelatin tulang ikan kakap merah dan disesuaikan dengan mutu gelatin Standar Nasional Indonesia (SNI). Hasil penelitian menunjukkan bahwa semakin besar konsentrasi asam sitrat, rendemen gelatin yang diperoleh semakin meningkat, demikian pula dengan waktu demineralisasi. Untuk konsentrasi asam sitrat 1%, 2%, dan 3% memiliki kualitas sesuai gelatin SNI sampai waktu demineralisasi 72 jam. Untuk konsentrasi asam sitrat 4% memiliki kualitas sesuai gelatin SNI sampai waktu demineralisasi 36 jam, sedangkan untuk konsentrasi asam sitrat 5% hanya sampai 24 jam.
Smart Water Quality Measurement System Berbasis IoT untuk Peningkatan Efektivitas Pemantauan Kualitas Sumber Air Winky Kurniawan; Muhammad Anwar
MASALIQ Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i5.7048

Abstract

The increasing water pollution caused by domestic and industrial activities demands an efficient, real-time, and accurate water quality monitoring system. This study aims to design and develop a Smart Water Quality Measurement System based on the Internet of Things (IoT), capable of automatically monitoring pH, temperature, conductivity, and turbidity parameters, while transmitting the data to a server and website in real-time. The research employed an engineering approach using the Waterfall model, encompassing requirement analysis, system design, hardware and software implementation, testing, and evaluation. The system integrates digital pH sensor SEN-0131, temperature sensor DS18B20, conductivity sensor SEN-0171, and turbidity sensor SEN-0175 with the ESP32 microcontroller. Measurement data are displayed via the DSP-0004 LCD and transmitted to a MySQL database, which is then visualized through a PHP-based web interface. Testing was conducted on each sensor and the system as a whole. The results indicate that all sensors operated within acceptable accuracy tolerances, and the system consistently transmitted data over a three-hour testing period without interruption. The web interface also functioned responsively across various devices. The study concludes that the system successfully fulfills the requirements for efficient and real-time water quality monitoring. The implications highlight the significant potential of IoT technology in environmental management, with further development recommended, including the integration of additional sensors and automated notification features to enhance system functionality.
Rancang Bangun Prototype Sistem Peringatan Dini Banjir Berbasis Arduino dengan Komunikasi Wireless nRF Ulfa Sari; Muhammad Anwar
MASALIQ Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i5.7144

Abstract

Flooding is a frequent natural disaster in Indonesia, causing serious impacts such as loss of life, environmental damage, and economic losses. Limited access to fast and easily understood information often leaves communities unprepared to face it. This study aims to design and develop a prototype of a flood early warning system based on an Arduino microcontroller with wireless communication using the nRF24L01 module. The method used was the Waterfall model, consisting of analysis, design, implementation, testing, and maintenance stages. The system comprises a transmitter unit equipped with an ultrasonic sensor and a water level sensor to monitor water height, and a receiver unit that displays information via an LCD, provides visual alerts through indicator LEDs, and issues audio warnings using a DFPlayer Mini and speaker. Testing was conducted to measure sensor accuracy and system responsiveness in simulated flood conditions. The results show that the prototype can detect water levels with three status categories: Safe (>10 cm), Alert (>20 cm), and Emergency (>30 cm or high water level). Device-to-device communication was effective at distances of up to approximately 150 meters.
Routing Struktural Adaptif: Arsitektur Hybrid Chunking untuk RAG pada Dokumen Pembelajaran Teknik Informatika Rafii Ahmad Fahreza; Muhammad Anwar
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10134

Abstract

Retrieval-Augmented Generation (RAG) has received attention in various studies, but research specifically addressing adaptive chunking strategies for Indonesian-language Informatics learning documents remains very limited. This study aims to design a hybrid adaptive chunking system that routes each document section to an appropriate chunking strategy based on structural signals detected at the preprocessing stage. This study used a Design and Development Research (DDR) approach through the stages of document analysis, system architecture design, and expert validation involving three experts in Informatics and Natural Language Processing (NLP). Data were collected through structured expert review instruments and scenario walkthrough sessions. The results showed that rule-based structural detection was able to reliably distinguish heading, narrative, list, and code block sections, supported by a confidence-based fallback mechanism. The conclusion of this study affirms that hybrid adaptive chunking plays an important role in maintaining the semantic coherence of learning materials in RAG systems. These findings contribute to the development of adaptive information retrieval studies and broaden understanding of RAG design aligned with pedagogical needs in the Indonesian-language academic context. The implications of this study include the provision of a reusable design framework for Indonesian-language technical documents and practical guidance for developers of educational AI systems.