Simulation of Availability and Loss of Nutrient Elements in Land with Android-Based Fertilizing Applications

Putra, Dian Pratama; Bimantio, Mohammad Prasanto; Sahfitra, Angga Ade; Suparyanto, Teddy; Pardamean, Bens

doi:10.1109/icimtech50083.2020.9211268

Cited by 25 publications

(14 citation statements)

References 7 publications

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“…Dalam perkembangannya konsep Taman KEHATI perlu untuk dirancang kegiatan Grand Design-nya karena tidak hanya mencakup koleksi tanaman saja, tetapi merupakan kawasan pencadangan sumber daya alam hayati lokal di luar kawasan hutan yang mempunyai fungsi konservasi in-situ dan atau ex-situ [5]. Proses peningkatan kualitas lahan dan pertumbuhan tanaman sangat dipengaruhi oleh makhluk hidupnya, semua sistem penanaman dan pemberian nutrisi ke dalam tanah menjadi aspek penting sehingga dapat menunjang pertumbuhan tanaman yang baik dan bersinergi dengan alam [6]- [9] Taman KEHATI selain sebagai kawasan perlindungan flora dan fauna, lokasinya juga dapat dijadikan objek penelitian dan pengembangan. Beberapa contoh penelitian terkait taman KEHATI adalah, Bimantio dkk.…”

Section: Pendahuluanunclassified

Analisis Swot Untuk Penentuan Lokasi Dan Pengelolaan Taman Kehati Prambanan Pt Sarihusada Generasi Mahardhika – Prambanan Factory

Bimantio

Nugraha

Putra

et al. 2022

PRO

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Keberadaan inisiasi pembangunan Taman Keanekaragaman Hayati (KEHATI) Prambanan merupakan salah satu bentuk kepedulian perusahaan terhadap keseimbangan ekosistem salah satunya berkaitan dengan menjaga keanekaragaman hayati yang memiliki peranan penting bagi keseimbangan sumberdaya alam. Dari berbagai identifikasi masalah yang menjadi temuan lapangan maka secara konsep dan strategi problem solving menggunakan analisis SWOT (Strength, Weakness, Opportunities, dan Threat dimana metode ini akan menghasilkan strategi yang dapat diimplementasikan sebagai acuan dasar penentuan lokasi dan pengelolaan Taman KEHATI Prambanan. Berdasarkan hasil Analisis SWOT diperoleh kekuatan utama dari Taman KEHATI Prambanan adalah lokasi yang strategis dan aksesibilitas yang mudah dijangkau. Peluang utama yang dapat diusahakan adalah integrasi Taman KEHATI dengan area factory visit. Sementara untuk kelemahan utama adalah jumlah vegetasi dan sarana prasarana yang masih sangat minim, disisi ancaman yang harus diperhatikan adnaya potensi konflik lahan dengan warga sekitar karena lokasinya yang berdampingan langsung dengan lahan pertanian warga lokal. Perencanaan strategis yang dilakukan antara lain: pembangunan Taman KEHATI mengangkat tema pertanian organic integrative dengan masyarakat, membuat media informasi Taman KEHATI Prambanan, melakukan kegiatan yang bersifat pemberdayaan masyarakat, melakukan biodiversity monitoring untuk update status keanekaragaman flora dan fauna, edukasi dan penyadartahuan tentang Taman KEHATI Prambanan, dan pembentukan kelembagaan dalam pengelolaannya. Taman KEHATI selain berkontribusi kepada lingkungan juga diperlukan untuk urgensi pemeringkatan Program Penilaian Peringkat Kinerja Perusahaan Dalam Pengelolaan Lingkungan (PROPER) yang dapat memberikan informasi terkait kinerja perusahaan dalam pengelolaan lingkungan. Taman KEHATI dinilai sangat diperlukan karena merupakan suatu sumber pembaharuan untuk kawasan hijau/penghijauan yang secara langsung atau tidak langsung dapat berkontribusi terhadap unsur konservasi dimasa depan. Kata Kunci : Analisis SWOT, pemberdayaan masyarakat, taman kehati

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Section: Pendahuluanunclassified

Analisis Swot Untuk Penentuan Lokasi Dan Pengelolaan Taman Kehati Prambanan Pt Sarihusada Generasi Mahardhika – Prambanan Factory

Bimantio

Nugraha

Putra

et al. 2022

PRO

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“…Specially designed to support agriculture and floriculture supply chains [15,16], IoT management tools provide all the appropriate tools to build and maintain such infrastructure [17] and services. Agricultural data are automated processed [18], corrected, and linked in the modern agricultural scenario under the AI algorithms [19][20][21], machines learning technologies [22,23], and models-driven decisionmaking systems [24], enabling the extraction of knowledge about phenomena that cannot be directly measured [25].…”

Section: Related Workmentioning

confidence: 99%

Smart IoT CPO Storage Tank

Renjani

Hermantoro

Nugraha

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Indonesia’s crude palm oil (CPO) production from year to year continues to increase, at the end of 2020 it reached 17.35 million tons, up 3.6% from the previous year. Increasing production will result in more CPO stock and require good storage. The storage process that occurs is to maintain the temperature of the CPO so that the quality is not damaged. This temperature regulation is still done manually and raises the risk of work accidents. The purpose of this research is to create a temperature control system and automatic volume measurement that can be monitored from a smartphone. The manufacture of a control system used ESP8266 NodeMCu microcontroller, temperature sensor, proximity sensor, and 1000-Watt heater. Programming used the Arduino IDE and C++. The result of this study was an IoT CPO Storage Tank design equipped with sensors and microcontrollers. The temperature was measured with the DS18B20 sensor had a data accuracy of 99.19% while the volume measured with the HC-SR04 sensor had an accuracy of 99.78%. Data obtained from the sensor could be seen through the Thingspeak application from a computer or smartphone.

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“…The development of information systems via mobile or web applications aims to provide two essential features: weed and herbicide data analysis via an AI-based recognition model and data management [26]. We have built such similar systems in our several previous agricultural-related research to support the above two features [27][28][29][30]. Tensorflow framework provides a service to generate an android-based application using different available templates.…”

Section: Prediction Process and Generating Applicationmentioning

confidence: 99%

Real-time Weed Identification Using Machine Learning and Image Processing in Oil Palm Plantations

Firmansyah

Suparyanto

Hidayat

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The effectiveness and efficiency of the operation of oil palm plantations are considered to be the most crucial factor to develop the productivity and profitability of the palm oil business. One of the major obstacles for the plants to optimally produce crops based on their capacity is caused by the presence of noxious weeds in the plantation area. However, weed control via chemical processes may potentially harm the surrounding environment if it is not properly managed. Therefore, an automatic system to assist the farmers to identify and control the weeds is required to minimize harmful impacts on the environment. Machine Learning (ML) and Artificial Intelligence (AI)-based systems provide powerful tools to perform such tasks. In this work, we aim for an ML-based system design to perform an automatic weed recognition task. The methodology can provide an effort for environmental sustainability in oil palm plantations. The weed identification involves the description, the local names, and tolerance class of the weeds as well as suggestions to control them. The flow of this work consists of weed and herbicide data acquisition, data labeling, model configurations, and data training. Further, the proposed system can be adopted as an android-based application in mobile devices that can deploy the trained model to predict weed category in both real-time and non-real-time tasks.

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Simulation of Availability and Loss of Nutrient Elements in Land with Android-Based Fertilizing Applications

Cited by 25 publications

References 7 publications

Analisis Swot Untuk Penentuan Lokasi Dan Pengelolaan Taman Kehati Prambanan Pt Sarihusada Generasi Mahardhika – Prambanan Factory

Analisis Swot Untuk Penentuan Lokasi Dan Pengelolaan Taman Kehati Prambanan Pt Sarihusada Generasi Mahardhika – Prambanan Factory

Smart IoT CPO Storage Tank

Real-time Weed Identification Using Machine Learning and Image Processing in Oil Palm Plantations

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