Abstract:Rainfall is one of the most important climatological parameters that plays a significant role in supporting agriculture, water resource management, and hydrometeorological disaster mitigation in Indonesia. As the volume…
of meteorological data continues to increase, technologies capable of processing large-scale data efficiently are required. This study aims to analyze rainfall patterns in Indonesia using a Big Data approach by utilizing Apache Spark as the primary data processing framework. The data used in this research consist of daily rainfall data from 34 provinces in Indonesia obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) in CSV format. This research employs a descriptive quantitative method consisting of data ingestion, data cleaning, data transformation, and descriptive statistical analysis using Apache Spark with PySpark. The analysis was conducted to obtain information regarding the number of valid records, average rainfall, maximum rainfall, and minimum rainfall values for each province. The results indicate that Apache Spark is capable of processing rainfall data in a structured, efficient, and automated manner. Based on the analysis, West Sumatra Province recorded the highest average rainfall at 16.01 mm/day, while Central Sulawesi Province recorded the lowest average rainfall at 0.30 mm/day. In addition, the highest maximum rainfall was observed in Bengkulu Province at 186.4 mm. The use of Spark DataFrame and aggregation functions such as count(), avg(), max(), and min() proved effective in supporting data processing and analysis activities. The findings demonstrate that Apache Spark can serve as an effective solution for large-scale climatological data processing and provide valuable information to support decision-making in agriculture, water resource management, and disaster mitigation in Indonesia.
Abstract:Abstract: Plant tissue culture is a foundational plant biotechnology approach with applications in micropropagation, clean planting material production, germplasm conservation, and biotechnology-based agribusiness. This…
article reports a bibliometric analysis of plant tissue culture and micropropagation literature connected with economic, commercialization, and bioeconomy-related terms. The Scopus search identified 1,048 records. Sequential eligibility screening excluded 414 non-article document types, 58 non-English records, and 23 non-journal source records, resulting in 553 English-language journal articles for analysis. The corpus covered 1973–2026, with publication output peaking at 71 documents in 2025; the 2026 count of 25 was partial at the time of export. Plant Disease was the leading source with 33 documents. China (119), India (77), the United States (57), Brazil (42), and Iran (22) were the most productive countries. Garibaldi, A. and Gullino, M. L. each contributed five documents, while the National Natural Science Foundation of China supported 38 documents. Author keyword analysis confirmed that micropropagation, plant tissue culture, tissue culture, medicinal plant, somatic embryogenesis, plant growth regulators, and somaclonal variation were the dominant concepts. The findings show growing research activity but also demonstrate that the broad Scopus query retrieves a field-level corpus extending beyond narrowly defined tissue-culture and bioeconomy studies. However, explicit bioeconomy, green economy, and agribusiness terminology remained rare, indicating that the economic contribution of plant tissue culture is more often framed through commercialization, economic value, propagation efficiency, and crop-specific applications than through bioeconomy policy language. The study suggests that future research should integrate plant tissue culture protocols with cost analysis, value-chain studies, certification systems, nursery economics, and farmer adoption research.
Keywords: plant tissue culture; micropropagation; bibliometric analysis; bioeconomy; commercialization; sustainable agriculture; Scopus
Abstrak: Kultur jaringan tanaman merupakan pendekatan bioteknologi tanaman yang fundamental dengan penerapan dalam mikropropagasi, produksi bahan tanam bersih, konservasi plasma nutfah, dan agribisnis berbasis bioteknologi. Artikel ini melaporkan analisis bibliometrik terhadap literatur kultur jaringan tanaman dan mikropropagasi yang berkaitan dengan istilah-istilah ekonomi, komersialisasi, dan bioekonomi. Pencarian di Scopus mengidentifikasi 1.048 rekaman. Penyaringan kelayakan secara bertahap mengecualikan 414 dokumen yang bukan artikel, 58 rekaman yang bukan berbahasa Inggris, dan 23 rekaman yang bukan berasal dari jurnal, sehingga menghasilkan 553 artikel jurnal berbahasa Inggris untuk dianalisis. Korpus data mencakup rentang waktu 1973–2026, dengan jumlah publikasi mencapai puncaknya sebanyak 71 dokumen pada tahun 2025; jumlah 25 dokumen pada tahun 2026 merupakan data parsial pada saat ekspor data dilakukan. *Plant Disease* merupakan sumber publikasi utama dengan 33 dokumen. Tiongkok (119), India (77), Amerika Serikat (57), Brasil (42), dan Iran (22) adalah negara-negara paling produktif. Garibaldi, A. dan Gullino, M. L. masing-masing berkontribusi lima dokumen, sementara *National Natural Science Foundation of China* mendukung 38 dokumen. Analisis kata kunci penulis mengonfirmasi bahwa mikropropagasi, kultur jaringan tanaman, kultur jaringan, tanaman obat, embriogenesis somatik, zat pengatur tumbuh tanaman, dan variasi somaklonal merupakan konsep-konsep yang dominan. Temuan ini menunjukkan peningkatan aktivitas penelitian, namun juga memperlihatkan bahwa kueri Scopus yang luas menghasilkan korpus tingkat bidang yang melampaui batasan studi kultur jaringan dan bioekonomi yang sempit. Akan tetapi, penggunaan istilah eksplisit terkait bioekonomi, ekonomi hijau, dan agribisnis masih jarang ditemukan; hal ini mengindikasikan bahwa kontribusi ekonomi kultur jaringan tanaman lebih sering dibahas melalui aspek komersialisasi, nilai ekonomi, efisiensi propagasi, dan penerapan spesifik tanaman dibandingkan melalui bahasa kebijakan bioekonomi. Studi ini menyarankan agar penelitian di masa mendatang mengintegrasikan protokol kultur jaringan tanaman dengan analisis biaya, studi rantai nilai, sistem sertifikasi, ekonomi pembibitan, dan penelitian mengenai adopsi oleh petani.
Kata kunci: kultur jaringan tanaman; mikropropagasi; analisis bibliometrik; bioekonomi; komersialisasi; pertanian berkelanjutan; Scopus
Abstract:Abstract: The advancement of generative artificial intelligence (AI) opens new opportunities in precision agriculture, particularly in plant health monitoring and diagnosis. This study aims to systematically review studies…
es discussing the use of Generative AI in plant health monitoring from 2019 to 2024. The method used is a Systematic Literature Review (SLR) following the PRISMA protocol (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Searches were conducted on Google Scholar, Scopus, Science Direct, and Portal Garuda databases using defined keywords. Of the 247 identified articles, 38 articles met the inclusion criteria and were analyzed in depth. The results show that Generative AI technologies, especially Generative Adversarial Networks (GAN), Diffusion Models, and vision-based Large Language Models (LLMs), have significantly contributed to plant disease detection, image data augmentation, and agronomic recommendation systems. Disease detection accuracy using GAN-based approaches averaged 94.7%, while visual transformer-based models recorded accuracy up to 96.3%. Key barriers include limited labeled datasets, technology gaps in rural areas, and lack of model adaptation to local Indonesian plant varieties. This study concludes that integrating Generative AI in plant health monitoring systems has great potential but requires multidisciplinary collaboration, local dataset development, and appropriate technology adoption policies.
Keywords: Generative AI, GAN, Plant Health, Monitoring, Systematic Literature Review, Precision Agriculture
Abstrak: Perkembangan kecerdasan buatan (AI) generatif membuka peluang baru dalam bidang pertanian presisi, khususnya dalam monitoring dan diagnosis kesehatan tanaman. Penelitian ini bertujuan untuk mengkaji secara sistematis berbagai studi yang membahas pemanfaatan Generative AI dalam monitoring kesehatan tanaman dari tahun 2019 hingga 2024. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan mengikuti protokol PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Pencarian dilakukan pada basis data Google Scholar, Scopus, Science Direct, dan Portal Garuda menggunakan kata kunci yang telah ditetapkan. Dari 247 artikel yang teridentifikasi, sebanyak 38 artikel memenuhi kriteria inklusi dan dianalisis secara mendalam. Hasil kajian menunjukkan bahwa teknologi Generative AI, terutama Generative Adversarial Networks (GAN), Diffusion Model, dan Large Language Model (LLM) berbasis visi, telah memberikan kontribusi signifikan dalam deteksi penyakit tanaman, augmentasi data citra, dan sistem rekomendasi agronomis. Tingkat akurasi deteksi penyakit menggunakan pendekatan berbasis GAN mencapai rata-rata 94,7%, sedangkan model berbasis transformer visual mencatat akurasi hingga 96,3%. Hambatan utama yang ditemukan meliputi keterbatasan dataset berlabel, kesenjangan teknologi di wilayah pedesaan, serta kurangnya adaptasi model terhadap varietas tanaman lokal Indonesia. Penelitian ini menyimpulkan bahwa integrasi Generative AI dalam sistem monitoring kesehatan tanaman memiliki potensi besar namun memerlukan kolaborasi multidisiplin, pengembangan dataset lokal, dan kebijakan adopsi teknologi yang tepat.
Kata Kunci: Generative AI, GAN, Kesehatan Tanaman, Monitoring, Systematic
Abstract:Abstract: Devina Sulistyawati (22031198). The Influence of Emotional Intelligence, Professional Commitment, and Work Overload on Employee Performance at the Department of Agriculture and Plantation of Batu Bara Regency.…
Advisor: Dr. H. M Saleh Malawat, M.MA. Examiner I: Hilmiatus Sahla, SE.I., ME.I. Examiner II: Dr. Rosnaida, S.E., M.M. This study aims to determine the simultaneous and partial effects of emotional intelligence, professional commitment, and work overload on employee performance. This research is a quantitative descriptive study utilizing multiple linear regression for data analysis. The sampling technique employed is saturated sampling (census), comprising 35 respondents. Validity and reliability tests were conducted to ensure the research instruments were appropriate for use. The results of the multiple linear regression analysis yielded the following equation: Y = 4.574 + 0.215X1 + 0.284X2 - 0.223X3. The Ftest results demonstrate that H1 is accepted and H0 is rejected, indicating that emotional intelligence, professional commitment, and work overload simultaneously influence performance, with an Fcount (11.022) > Ftable (2.91). The ttest results prove that, partially, emotional intelligence has a positive and significant effect on performance with a tcount (4.015) > ttable (2.03693); professional commitment has a positive and significant effect on performance with a tcount (4.079) > ttable (2.03693); and work overload has a negative and significant effect on performance with an absolute tcount (3.059) > ttable (2.03693). Based on the t-count values, the professional commitment variable is the most dominant factor influencing performance. The R2 test results show an adjusted R-square value of 0.469, explaining that the combined influence of emotional intelligence, professional commitment, and work overload on performance is 46.9%, while the remaining 53.1% is influenced by other factors not included in this study.
Keywords: Emotional Intelligence, Professional Commitment, Work Overload, Performance.
Abstrak: Devina Sulistyawati (22031198). Pengaruh kecerdasan emosional, komitmen profesi dan work overload terhadap kinerja pegawai pada Dinas Pertanian dan Perkebunan Kabupaten Batu Bara. Pembimbing: Dr. H. M Saleh Malawat, M.MA. Penguji I: Hilmiatus Sahla, SE.I., ME.I. Penguji II: Dr. Rosnaida, S.E., M.M. Penelitian ini bertujuan untuk mengetahui pengaruh secara simultan dan parsial kecerdasan emosional, komitmen profesi, dan work overload terhadap kinerja karyawan. Jenis penelitian ini adalah deskriptif kuantitatif dengan analisis data menggunakan regresi linear berganda. Teknik pengambilan sampel yang digunakan adalah sampel jenuh dengan jumlah 35 responden. Uji validitas dan reliabilitas dilakukan untuk memastikan instrumen penelitian layak digunakan. Hasil analisis regresi linear berganda diperoleh persamaan: Y = 4,574 + 0,215X1 + 0,284X2 - 0,223X3. Hasil uji F membuktikan bahwa H1 diterima dan H0 ditolak, yaitu secara simultan kecerdasan emosional, komitmen profesi, dan work overload berpengaruh terhadap kinerja dengan nilai Fhitung (11,022) > Ftabel (2,91). Hasil uji t membuktikan bahwa secara parsial kecerdasan emosional berpengaruh positif dan signifikan terhadap kinerja dengan nilai thitung (4,015) > ttabel (2,03693), komitmen profesi berpengaruh positif dan signifikan terhadap kinerja dengan nilai thitung (4,079) > ttabel (2,03693), dan work overload berpengaruh negatif dan signifikan terhadap kinerja dengan nilai absolute thitung (3,059) > ttabel (2,03693). Berdasarkan nilai thitung, variabel komitmen profesi merupakan faktor yang paling dominan memengaruhi kinerja. Hasil uji R2 membuktikan bahwa nilai adjusted r square yaitu 0,469, menjelaskan bahwa besarnya pengaruh yang dihasilkan kecerdasan emosional, komitmen profesi, dan work overload terhadap kinerja adalah 46,9%, sedangkan 53,1% selebihnya dipengaruhi oleh faktor lainnya yang tidak termasuk dalam penelitian ini.
Kata Kunci: Kecerdasan Emosional, Komitmen Profesi, Work Overload, Kinerja.
Abstract:Abstract: The transformation toward a sustainable economy has become a strategic necessity amid the growing pressures of climate crisis, environmental degradation, and social inequality. Technological innovation is widely…
y regarded as a key driver in balancing economic growth with environmental preservation and social inclusivity. This study aims to identify key technologies that support the sustainable economy, analyze their implementation strategies across major sectors in Indonesia, and evaluate their impact on the economic, environmental, and social dimensions (triple bottom line). This research employs a qualitative-descriptive approach through literature review and case analysis in the energy, agriculture, manufacturing, and MSME sectors. The findings indicate that artificial intelligence (AI), Internet of Things (IoT), big data, blockchain, renewable energy, and green fintech significantly contribute to improving resource efficiency, reducing emissions, enhancing supply chain transparency, and expanding access to green financing. However, several challenges remain, including infrastructure readiness, high initial investment costs, limited digital literacy, non-adaptive regulatory frameworks, and unequal access to technology. This study recommends strengthening incentive-based policies, developing cross-sector innovation ecosystems, and enhancing green-digital human resource capacities to accelerate the growth of a sustainable economy in Indonesia.
Keywords: Sustainable Economy, Technological Innovation, Green Economy, Circular Economy, Indonesia, Triple Bottom Line
Abstrak: Transformasi menuju ekonomi berkelanjutan menjadi kebutuhan strategis di tengah tekanan krisis iklim, degradasi lingkungan, dan ketimpangan sosial. Inovasi teknologi dipandang sebagai motor utama untuk menyeimbangkan pertumbuhan ekonomi dengan pelestarian lingkungan dan inklusivitas sosial. Artikel ini bertujuan memetakan teknologi kunci yang mendukung ekonomi berkelanjutan, menganalisis strategi implementasinya pada sektor utama di Indonesia, serta mengevaluasi dampaknya pada dimensi ekonomi–lingkungan–sosial (triple bottom line). Penelitian menggunakan pendekatan kualitatif-deskriptif melalui kajian literatur dan analisis kasus pada sektor energi, pertanian, manufaktur, dan UMKM. Hasil menunjukkan bahwa AI, IoT, big data, blockchain, energi terbarukan, dan fintech hijau berkontribusi signifikan dalam meningkatkan efisiensi sumber daya, menurunkan emisi, memperkuat transparansi rantai pasok, serta memperluas akses pembiayaan usaha hijau. Tantangan utama meliputi kesiapan infrastruktur, biaya awal tinggi, literasi digital, regulasi yang belum adaptif, dan ketimpangan akses teknologi. Artikel ini merekomendasikan penguatan kebijakan insentif, pembangunan ekosistem inovasi lintas aktor, serta peningkatan kapasitas SDM digital-hijau untuk mempercepat pertumbuhan ekonomi hijau di Indonesia.
Kata Kunci: Ekonomi Berkelanjutan, Inovasi Teknologi, Green Economy, Circular Economy, Indonesia, Triple Bottom Line
Abstract:Abstract: The oil palm plantation sector is a key pillar of the Asahan Regency economy. However, differences in regional characteristics lead to variations in land area, production, and productivity between sub-districts.…
. This study aims to cluster sub-districts in Asahan Regency based on oil palm production characteristics using the K-Medoids method. Data used comes from the Asahan Regency Agriculture Office, which covers 25 sub-districts with three main variables: mature area (ha), oil palm production (tons), and productivity (tons/ha/year). The clustering process was performed manually using Euclidean distance calculations, with the number of clusters set at three. The results indicate the formation of three main clusters: high, medium, and low production clusters. This grouping is expected to form the basis for more targeted and data-driven development planning for the oil palm plantation sector.
Keywords: K-Medoids, Clustering, Oil Palm, Plantation Production, Asahan Regency
Abstrak: Sektor perkebunan kelapa sawit merupakan salah satu penopang utama perekonomian Kabupaten Asahan. Namun, perbedaan karakteristik wilayah menyebabkan variasi luas lahan, produksi, dan produktivitas antar kecamatan. Penelitian ini bertujuan untuk mengelompokkan kecamatan di Kabupaten Asahan berdasarkan karakteristik produksi kelapa sawit menggunakan metode K-Medoids. Data yang digunakan berasal dari Dinas Pertanian Kabupaten Asahan yang mencakup 25 kecamatan dengan tiga variabel utama, yaitu luas tanaman menghasilkan (ha), produksi kelapa sawit (ton), dan produktivitas (ton/ha/tahun). Proses pengelompokan dilakukan secara manual menggunakan perhitungan jarak Euclidean dengan jumlah klaster ditetapkan sebanyak tiga. Hasil penelitian menunjukkan terbentuknya tiga klaster utama, yaitu klaster produksi tinggi, sedang, dan rendah. Pengelompokan ini diharapkan dapat menjadi dasar dalam perencanaan pembangunan sektor perkebunan kelapa sawit yang lebih terarah dan berbasis data.
Kata Kunci: K-Medoids, Clustering, Kelapa Sawit, Produksi Perkebunan, Kabupaten Asahan
Abstract:Abstract : Asahan Regency is one of the districts in North Sumatra Province that has quite diverse economic potential, ranging from the agricultural sector, plantations, processing industry, trade, to services. The economic…
mic structure of Asahan Regency is inseparable from the role of leading sectors that are able to generate surpluses and encourage economic activities in other regions. This study aims to analyze the influence of the base sector and the non-base sector on economic growth in Asahan Regency during the period 2016–2024. This method uses a quantitative approach with secondary data obtained from the Central Statistics Agency. The determination of the base and non-base sectors was carried out using the Location Quotient method, while the analysis of its influence on economic growth used the Ordinary Least Square method. The results of show that there are four base sectors in Asahan Regency, namely the agriculture, forestry and fisheries sectors; the processing industry; large and retail trade; and other services. The value of the determination coefficient of 73.5% of the variation in economic growth can be explained by the base sector and the non-base sector, while the rest is influenced by other factors outside the research model.
Keywords: Base Sector, Non-Base Sector, Economic Growth, Location Quotient
Abstrak : Kabupaten Asahan merupakan salah satu kabupaten di Provinsi Sumatera Utara yang memiliki potensi ekonomi cukup beragam, mulai dari sektor pertanian, perkebunan, industri pengolahan, perdagangan, hingga jasa. Struktur perekonomian Kabupaten Asahan tidak terlepas dari peran sektor-sektor unggulan yang mampu menghasilkan surplus dan mendorong aktivitas ekonomi wilayah lain. Penelitian ini bertujuan untuk menganalisis pengaruh sektor basis dan sektor non basis terhadap pertumbuhan ekonomi di Kabupaten Asahan selama periode 2016–2024. Metode ini menggunakan pendekatan kuantitatif dengan data sekunder yang diperoleh dari Badan Pusat Statistik. Penentuan sektor basis dan non basis dilakukan menggunakan metode Location Quotient, sedangkan analisis pengaruhnya terhadap pertumbuhan ekonomi menggunakan metode Ordinary Least Square. Hasil menunjukkan bahwa terdapat empat sektor basis di Kabupaten Asahan, yaitu sektor pertanian, kehutanan dan perikanan; industri pengolahan; perdagangan besar dan eceran; serta jasa lainnya. Nilai koefisien determinasi 73,5% variasi pertumbuhan ekonomi dapat dijelaskan oleh sektor basis dan sektor non basis, sedangkan sisanya dipengaruhi oleh faktor lain di luar model penelitian.
Kata Kunci : Sektor Basis, Sektor Non Basis, Pertumbuhan Ekonomi, Location Quotient
Abstract:Abstract: The purpose of this study to construct an optimal stock portfolio of companies in the agricultural sector listed on the Indonesia Stock Exchange (IDX) using the Markowitz portfolio model. This model is applied…
to optimize the trade-off between expected return and risk through the mean-variance framework. The data employed in this study consist of secondary data in the form of closing stock prices of six agricultural sector companies. The analytical procedures include the calculation of return, expected return, variance, standard deviation, covariance, and correlation among stocks, as well as the determination of optimal portfolio weights. The findings indicate that four stocks constitute the optimal portfolio, namely NSSS with a proportion of 57.79%, TAPG at 25.56%, SMAR at 11.55%, and STAA at 5.99%. The resulting optimal portfolio yields an expected return of 0.43% with a risk level of 0.01866, which is lower than the individual risk of each stock included in the optimal portfolio. These results demonstrate that diversification within agricultural sector stocks is effective in forming an efficient portfolio that achieves an optimal balance between risk and return.
Keywords: Optimal Portfolio; Markowitz Model; Agriculture Sector Stock; Risk and Return.
Abstrak: Penelitian ini bertujuan untuk membentuk portofolio saham optimal pada perusahaan sektor pertanian yang terdaftar di Bursa Efek Indonesia (IDX) menggunakan model portofolio Markowitz. Model ini digunakan untuk mengoptimalkan hubungan antara expected return dan risiko melalui pendekatan mean-variance. Data yang digunakan merupakan data sekunder berupa harga saham penutupan enam perusahaan sektor pertanian. Metode analisis meliputi perhitungan return, expected return, varians, standar deviasi, kovarians, dan korelasi antar saham, serta penentuan proporsi portofolio optimal. Hasil penelitian menunjukkan bahwa empat saham membentuk portofolio optimal, yaitu NSSS dengan proporsi 57,79%, TAPG sebesar 25,56%, SMAR sebesar 11,55%, dan STAA sebesar 5,99%. Portofolio optimal yang terbentuk menghasilkan expected return sebesar 0,43% dengan tingkat risiko sebesar 0,01866, dimana tingkat risiko tersebut di bawah risiko dari masing-masing saham individual pembentuk portofolio optimal. Hasil ini menunjukkan bahwa diversifikasi saham sektor pertanian mampu menghasilkan kombinasi portofolio yang efisien dengan tingkat risiko yang relatif rendah dan return yang optimal.
Kata Kunci: Portofolio Optimal; Model Markowitz; Saham Sektor Pertanian; Risiko dan Return.
Abstract:Abstract: The management of liquid nitrogen nutrients in water spinach cultivation is still largely performed manually, which can lead to inaccurate dosage, irregular fertilization schedules, and uneven nutrient distribution.…
tion. This study aims to design and implement a digital agriculture system based on the Internet of Things (IoT) for managing liquid nitrogen nutrients in water spinach cultivation. The research adopts an applied research method with a systems engineering approach. The developed system utilizes an ESP32 microcontroller as the main control unit, a Real Time Clock (RTC) module for fertilization scheduling, a relay as an actuator controller, and a water pump to automatically distribute liquid nutrients according to plant growth stages. The study was conducted on a water spinach cultivation field in Punggulan Village, Asahan Regency, using one planting bed as the research sample. The implementation results indicate that the system is capable of delivering liquid nutrients in a scheduled and consistent manner, thereby improving fertilization efficiency in terms of time, labor, and uniformity of nutrient distribution. Furthermore, the application of this system has a positive impact on the growth of water spinach plants. Therefore, the proposed system has the potential to enhance land productivity and support the adoption of IoT-based modern agricultural technology.
Keyword: Internet of Things, ESP32, Real Time Clock, liquid nitrogen nutrients, water spinach, digital agriculture
Abstrak: Pengelolaan nutrisi cair nitrogen pada budidaya tanaman kangkung masih banyak dilakukan secara manual, sehingga berpotensi menimbulkan ketidaktepatan dosis, ketidakteraturan waktu pemupukan, serta distribusi nutrisi yang tidak merata. Penelitian ini bertujuan untuk merancang dan menerapkan sistem pertanian digital berbasis Internet of Things (IoT) dalam pengelolaan nutrisi cair nitrogen pada tanaman kangkung. Metode penelitian yang digunakan adalah penelitian terapan dengan pendekatan rekayasa sistem. Sistem yang dikembangkan memanfaatkan mikrokontroler ESP32 sebagai unit kendali utama, modul Real Time Clock (RTC) sebagai penjadwal pemupukan, relay sebagai pengendali aktuator, serta pompa air untuk mendistribusikan nutrisi cair secara otomatis sesuai umur tanaman. Penelitian dilaksanakan pada lahan budidaya kangkung di Desa Punggulan, Kabupaten Asahan, dengan satu bulutan sebagai sampel penelitian. Hasil implementasi menunjukkan bahwa sistem mampu melakukan pemberian nutrisi cair secara terjadwal dan konsisten, serta meningkatkan efisiensi pemupukan dari segi waktu, tenaga kerja, dan pemerataan distribusi nutrisi. Penerapan sistem ini juga memberikan dampak positif terhadap pertumbuhan tanaman kangkung. Dengan demikian, sistem yang dikembangkan berpotensi mendukung peningkatan produktivitas lahan dan penerapan teknologi pertanian modern berbasis IoT.
Kata kunci: Internet of Things, ESP32, RTC, nutrisi cair nitrogen, tanaman kangkung, pertanian digital.
Abstract:Abstract: This study was conducted to compare the growth of pepper cuttings following the application of liquid organic fertilizer (POC) through the soil and leaves. The study took place at the Experimental Field of the…
Faculty of Agriculture, Malikussaleh University, from May to August 2024, using a factorial Randomized Block Design (RAK). The results showed that the application technique and concentration of POC significantly affected shoot length and number of leaves in the early growth phase, but did not affect several other parameters such as the age of shoot emergence and root length. The best treatment was at a concentration of 4.5 ml/L.
Keywords: Pepper, liquid, organic, cuttings
Abstrak: Penelitian dilakukan untuk menguji efektivitas pupuk organik cair NASA terhadap pertumbuhan stek tanaman lada. Penelitian berlangsung di Kebun Percobaan Fakultas Pertanian Universitas Malikussaleh dari Mei hingga Agustus 2024 dengan metode penelitian aplikasi POC NASA di tanah dan daun dengan 4 taraf yaitu: 0; 1,5; 3; 4,5 ml/L. Penelotian menggunakan RAK faktorial. Hasil penelitian menunjukkan bahwa teknik dan konsentrasi POC NASA berpengaruh signifikan terhadap panjang tunas dan jumlah daun pada fase awal pertumbuhan, tetapi tidak memengaruhi beberapa parameter lain seperti umur muncul tunas dan panjang akar. Konsentrasi POC NASA 4,5 ml/L menunjukkan hasil lebih baik di beberapa parameter pengamatan.
Kata kunci: Lada, cair, organik, stek