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Optimalisasi Blue Economy Berbasis IoT dalam Pengawasan Kualitas Air Tambak untuk Sustainability UMKM di Kabupaten Aceh Utara Nunsina; Eva Darnila; Munawwar Khalil; Mustaqim; Zahratul Fitri
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24783

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan produktivitas dan keberlanjutan UMKM sektor perikanan di Kabupaten Aceh Utara melalui penerapan konsep Blue Economy berbasis teknologi Internet of Things (IoT) untuk pengawasan kualitas air tambak. Permasalahan utama yang dihadapi mitra adalah tidak tersedianya sarana untuk memantau kualitas air secara real-time sehingga berpotensi menurunkan hasil produksi. Kegiatan dilakukan melalui sosialisasi, pelatihan, instalasi perangkat IoT, kalibrasi sensor, serta pendampingan penggunaan sistem. Hasil pelaksanaan menunjukkan bahwa penggunaan IoT mampu memberikan data kualitas air secara akurat dan cepat, sehingga petambak dapat mengambil langkah preventif maupun korektif tepat waktu. Hal ini berdampak pada peningkatan hasil panen, efisiensi penggunaan pakan dan air, serta pengurangan risiko kerugian. Program pengabdian kepada masyarakat ini mendukung tercapainya prinsip Blue Economy dan Sustainable Development Goals (SDGs) di sektor perikanan budidaya udang vaname di Aceh Utara.
Perancangan Aplikasi Web Bidang Agriculture Berbasis Sistem Pakar Untuk Deteksi Penyakit Cabai Dengan Metode Dempster Shaf Mutasar, Mutasar; Nunsina, Nunsina; Fadhlilah, Cut
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1913

Abstract

Very commonly found in chili plants, but the problem is whether the pest or disease causes significant losses or not. To find out what type of attack occurs on chili plants, sometimes farmers lack knowledge in the field of information on pests and diseases so that there are times when the treatment is not in accordance with the type of attack so the disease continues to spread to other plants. Advances in expert systems can overcome this problem by designing a web-based computer system that is integrated with databases and programming languages such as PHP-MySql so that it can assist farmers in diagnosing the disease that is attacked. The application of an expert system in making decisions uses a forward chaining inference engine (forward reasoning) where cases are traced at the initial state so that goals will be found for the final results of diagnosing chili plant diseases. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by farmers and the results of this process the system will provide information on what diseases attack plants and solutions for handling them
SOSIALISASI PENINGKATAN KUALITAS PRODUKTIVITAS PANEN UDANG MELALUI PENGONTROLAN KADAR AIR BERBASIS IOT DI DESA KUALA CEURAPE Nunsina, Nunsina; Zuhra, Fatimah; Yunizar, Zara
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2024): Rambideun: Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v7i1.2417

Abstract

Pond water quality is the main factor for the survival and productivity of shrimp farming. Physical parameters such as temperature, salinity and water turbidity are the main indicators of pond water quality. Poor water quality can reduce appetite, growth rate, and increase the risk of disease in shrimp. To overcome this problem, an effective monitoring and control system is needed. The method used in implementing this community service activity covering observation, design and socialization of the use of IoT-based automatic water content control devices. The results showed that the device is effective in helping fishermen controlling water levels automatically, increasing efficiency and effectiveness. The technology used includes the Arduino Uno microcontroller, ultrasonic sensor, RTC, LCD, relay module, motor driver, and DC motor. This activity is expected to provide new knowledge for fishermen in increasing shrimp productivity and quality through automatic control of pond water.
Analisa Pengembangan Digital Marketing Pada Aplikasi Action Mobile Bangking Bank Aceh Syariah Dalam Melayani Kebutuhan Transaksi Nasabah Putri Raihatul Jannah; Cut Fadhilah; Mutasar; Nunsina
Jurnal Elektronika dan Teknologi Informasi Vol 5 No 2 (2024): September 2024
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v5i2.492

Abstract

Action Mobile Bangking merupakan layanan yang ditawarkan oleh Bank Aceh Syariah untuk mempermudah transaksi keuangan melalui smartphone. Meningkatnya pertumbuhan transaksi digital di indonesia yang semakin hari semakin meningkat, membuat banyaknya bank-bank pesaing mulai meningkatkan kualitas layanan dan fitur-fitur terbaru pada mobile bangking, mengingat Bank Aceh merupakan Bank Daerah (BPD) maka dari itu perlu dilakukan Analisa Pengembangan atau Persamaan Digital Marketing Pada Aplikasi Action Mobile Bangking Bank Aceh hingga mampu memberikan alternatif dalam melayani kebutuhan Transaksi Nasabah. Menggunakanl metode Technologyl Acceptance Modell (TAM) danl perhitungan Usability yangl dapat menjadil acuan dalaml menetapkan berbagail pemanfaatan danl penggunaan TIl dari perspektifl pengguna terhadapl manfaat danl perspektif terhadapl penggunaan. Hasil Analisa pengukuranl TAM Perceivedl Ease ofl Use (PEOUl) yaitu sebesarl 95% yangl artinya memilikil nilai yang sangatl layak. Kemudianl hasil lperhitungan Usability diperolehl hasil pengukuranl TAM Perceivedl Usefulness (lPU) yaitu sebesarl 96%, serta erorr 5% yangl menunjukkan bahwal hasil pengukuranl Usability aplikasil Action Mobile memilikil nilai sangatl layak. Tujuan dari penelitian ini adalah memberikan rekomendasi penambahan fitur ke pada pihak Bank Aceh Syariah guna melayani kebutuhan transaksi nasabah serta meningkatkan jumlah pengguna baru.
Prototype Penyiraman Otomatis Pada Tanaman Bawang Putih dengan Metode Fuzzy Sugeno Berbasis Arduino Uno Nunsina, Nunsina; Darnila, Eva; Fadhilah, Cut; Razi, Ar
TEKNIKA Vol. 18 No. 1 (2024): Teknika Januari - Juni 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10614572

Abstract

Bawang putih merupakan jenis tanaman yang biasa ditanam di dataran tinggi tropis yang sangat sensitif terhadap cekaman kekeringan. Kekurangan air dapat menyebabkan pembentukan umbi terhambat sehingga akan mengurangi hasil poduksi. Penelitian iini bertujuan untuk membuat sebuah perangkat yang mampu mengotomatisasi proses penyiraman tanaman bawang putih . Proses penyiraman bawang putih secara manual memakan waktu yang signifikan karena harus dikerjakan secara individual untuk setiap pohon. Perangkat ini dirancang untuk memberikan manfaat dengan memudahkan pekerjaan manusia dalam menyirami bawang putih. Pendekatan yang digunakan dalam penelitian ini adalah Metode Penelitian dan Pengembangan (R&D). Perangkat ini dilengkapi dengan sensor kelembaban tanah yang berperan sebagai pengecek tingkat kelembaban dan mengirim instruksi kepada Arduino Uno untuk mengaktifkan driver relay, sehingga pompa air untuk melakukan penyiraman otomatis sesuai kebutuhan. Penelitian ini meliputi perancangan, serta implementasi komponen-komponen sistem, termasuk penggunaan Arduino Uno sebagai pengendali dan driver relay untuk mengatur aktivitas pompa air. Data dari penelitian memastikan bahwa perangkat yang dibuat berfungsi secara efektif, di mana relay akan beroperasi dan mengaktifkan pompa ketika tingkat kelembaban tanah di bawah 40%. Sebaliknya, relay akan berhenti beroperasi ketika kelembaban tanah mencapai lebih dari 40%. Agar dapat berproduksi optimal bawang putih memerlukan volume dan interval penyiraman yang tepat.
Pelatihan Arduino di SMK Negeri 1 Bireuen untuk Meningkatkan Kemampuan Kreatifitas Siswa di Bidang IPTEK Robotik Nunsina; Darnila, Eva; Fadhilah, Cut
Nawadeepa: Jurnal Pengabdian Masyarakat Volume 3, No 2 (2024): June
Publisher : Pencerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58835/nawadeepa.v3i2.350

Abstract

The purpose of this community service is to provide an introduction to the use of Arduino Uno to students of SMK Negeri 1 Bireuen. With the utilization of Arduino Uno, students can create projects such as temperature and humidity control systems, line follower robots, light management systems, and more. This, will improve students' abilities in programming and electronics, as well as provide invaluable practical experience in developing their creativity. This method of community service activities begins with the preparation stage and field surveys. Followed by a discussion with the responsible parties there regarding the activities that will be carried out at SMK Negeri 1 Bireuen, namely the Principal and public relations of SMK Negeri 1 Bireuen. In the workshop, it was explained about the introduction of Robotics, Arduino Uno and the tools needed to assemble/install an automatic line follower robot application using sensors brought by the PKM activity committee. It is hoped that with this training, students can develop their skills and creativity by participating in workshops, robotics competitions so that they can build collaboration with local industries.
DECISION SUPPORT SYSTEM FOR SELECTING DIRECT CASH ASSISTANCE RECIPIENTS IN PANTON LABU VILLAGE USING A WEB-BASED AND MFEP METHOD Zahidi Pratama; Wahyu Fuadi; Nunsina Nunsina
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.3329

Abstract

The distribution of Direct Cash Assistance (BLT) often faces challenges related to data accuracy and fairness in recipient selection. This study aims to develop a web-based decision support system for selecting BLT recipients in Panton Labu Village using the Multi-Factor Evaluation Process (MFEP) method. The system was developed following the Waterfall software engineering model, utilizing PHP for programming and MySQL for database management. Data were collected through field observations, literature reviews, and interviews with village officials. The MFEP method evaluates prospective recipients based on six criteria: employment status, number of dependents, homeownership, building type, floor type, and monthly income. The system incorporates a Geographic Information System (GIS) feature to visualize applicants' home locations, with color-coded markers indicating eligibility. Testing on 120 data entries revealed that 34.2% (41 individuals) qualified for assistance using a minimum threshold score of 3.00. The system successfully automated calculation processes, enhanced transparency through digital mapping, and provided a user-friendly interface. This implementation demonstrates the effectiveness of the MFEP method in supporting objective, systematic, and targeted decision-making for social assistance programs at the village level
Improving Vegetable Production in North Aceh Regency: An Implementation of a Smart Farming Monitoring System Fitri, Zahratul; Meiyanti, Rini; Nunsina, Nunsina; Fitria, Rahma; Munauwar, Muhammad Muaz
JINAV: Journal of Information and Visualization Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4322

Abstract

This research aims to design and implement a smart farming monitoring system that is appropriate for the local conditions of North Aceh to optimize the production of leading vegetables and facilitate sustainable agricultural transformation. In line with the national agenda toward the digitalization of the agricultural sector, this research is part of a concrete effort to encourage the adoption of smart farming technology at the local level. North Aceh Regency has great horticultural potential, but it is not yet optimal due to the minimal application of technology. This research supports the development of agriculture based on local potential. The study also promotes a participatory and educative approach to increase farmers' digital literacy and reduce the technology gap between conventional and modern technology-adopting farmers. The Smart Farming monitoring system was successfully implemented using soil moisture, air temperature, soil pH, and light intensity sensors integrated into a web-based dashboard and mobile application. The implementation of this system was able to increase vegetable productivity by 18–22%, especially for mustard greens, chili, and tomatoes, compared to conventional methods. The system also contributed to the efficient use of resources, shown by a 25% savings in irrigation water and a 15% reduction in the use of chemical fertilizers. The farmer response was quite positive, although there are still challenges related to digital literacy among some older farmers. Overall, the implementation of Smart Farming in North Aceh Regency had a real impact on increasing productivity and cost efficiency while supporting sustainable agriculture in line with the SDGs.
Food Security Optimization Forecasting Fertilizer Production With Method Weighted Moving Average (WMA) Rifkial Iqwal; Dahlan Abdullah; Nunsina
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research focuses on optimizing food security through the application of fertilizer production forecasting method at PT Pupuk Iskandar Muda (PIM) using Weighted Moving Average (WMA). Effective food security relies heavily on stable and adequate fertilizer availability, which in turn requires accurate production predictions to ensure efficiency. In this study, historical data of urea and ammonia fertilizer production from January 2019 to December 2023 is used to build a forecasting model that can provide an overview of future production trends. The WMA method was chosen due to its adaptive nature, where greater weight is given to the most recent data, allowing the model to be more responsive to changes and emerging trends. The results showed that for urea production, WMA produced a MAPE value of 1773.8% and MAD of 13,223.2, while for ammonia production, the MAPE was recorded at 3085.5% with MAD of 7,538.5. Total production showed a MAPE of 69.7% with a MAD of 20,568.9, indicating significant fluctuations in production during the period under study. Nevertheless, the WMA method still provides a fairly good prediction and can be used as a reference in future production planning. In addition, the results of this study also provide valuable insights into the production dynamics at PIM, which is critical in supporting the national food security strategy. This research recommends further exploration of other more advanced forecasting methods, such as ARIMA or machine learning techniques, to improve prediction accuracy and better anticipate changes in production patterns. Keywords: Food security, Weighted Moving Average, Fertilizer Production Forecasting, MAPE, MAD.