Abstract:Abstract: Klangon Village is a hilly area which is located on the slopes of Mount Pan-dan and is in the Madiun Regency area which is one of the partner villages of Universitas PGRI Madiun. Klangon Village has an organization…
tion in the field of agriculture, namely the “Karya Putri Tani†farmer group. The organization received funding aimed at the development of a sustainable food housing area (KRPL) but it was not yet optimal and running smoothly. The existence of these problems became the basis for conducting yard optimization activities for food security in the area of sustainable food houses. The methods used in the activities include mentoring and training in the form of demonstrations. Hope in this program can meet the needs, food security, and nutrition of the family which will ultimately improve the welfare of the community. The results achieved in the program are that the target group can implement a sustainable food home area in the form of "Green House Klangon" as an educational tool.
Keywords: optimization; accompaniment; krpl programme
Abstrak: Desa Klangon merupakan daerah perbukitan yang letaknya di lereng Gunung Pandan serta berada di wilayah Kabupaten Madiun dimana menjadi salah satu desa mitra Universitas PGRI Madiun. Desa Klangon memiliki organisasi dibidang pertanian yaitu kelompok tani “Karya Putri Taniâ€. Organisasi tersebut memperoleh pendanaan yang ditujukan untuk pembangunan kawasan rumah pangan lestari (KRPL) namun belum optimal dan berjalan lancar. Adanya permasalahan tersebut menjadi dasar diadakan kegiatan pengoptimalan lahan pekarangan sebagai upaya ketahanan pangan pada kawasan rumah pangan lestari. Metode yang digunakan dalam kegiatan mencakup pendampingan dan pelatihan berupa demontrasi. Harapan dalam program ini dapat memenuhi kebutuhan, ketahanan pangan dan gizi keluarga yang pada akhirnya akan meningkatkan kesejahteraan masyarakat. Hasil yang dicapai dalam program yaitu kelompok sasaran dapat mengimplementasikan kawasan rumah pangan lestari dengan wujud “Green House Klangon†sebagai sarana edukatif.
Kata kunci: optimalisasi; pendampingan; program krpl
Abstract:Abstract : Today's modern era, the need for food has increased greatly among humans, it is comparable to the large population growth in today's world. In that case, simple technical equipment is needed which is widely used…
ed daily both for household needs and for the needs of farmers. Thus conventional equipment that is still used both among farmers, it will slow down the growth of agricultural production. For this reason, advanced technological equipment is needed, even today's modern ones, which are widely used in urban areas. Therefore, before using some of today's modern tools, it is necessary to provide knowledge education methods in the form of socializing the use of simple tools which are mostly used in educational settings as well as among farmers. So that the socialization of the introduction of these technical tools is very important at this time, to avoid misuse of these technical equipment, which is caused by a lack of knowledge of the community. By socializing these simple technical tools, it will result in a good understanding of all stakeholders at SMP Negeri 1 Dolog Pardamean, both teachers and students who will be able to recognize simple mechanical engineering tools that are used both at school and at home.
Keywords : agriculture ; conventional ; introduction.
Abstrak : Jaman Modern sekarang ini, kebutuhan bahan pangan sangat meningkat di kalangan manusia, itu sebanding dengan banyaknya pertumbuhan penduduk di dunia sekarang ini. Dalam hal itu, dibutuhkanlah peralatan teknik sederhana yang banyak dipergunakan sehari-hari baik bagi kebutuhan rumah tangga maupun kebutuhan para petani. Dengan demikian peralatan konvensional yang masih dipergunakan baik itu di kalangan para petani, itu akan memperlambat pertumbuhan produksi pertanian. Untuk itu, dibutuhkanlah peralatan teknologi yang maju bahkan yang modern sekarang ini yang sudah banyak dipergunakan di perkotaan. Oleh sebab itu, sebelum mempergunakan beberapa alat-alat modern yang sekarang ini, perlu diberikan metode pendidikan pengetahuan berupa sosialisasi penggunaan peralatan sederhana yang kebanyakan dipergunakan di lingkungan pendidikan maupun di lingkungan para petani. Sehingga sosialisasi pengenalan alat teknik tersebut merupakan yang sangat penting sekarang ini, untuk menghindari penyalah gunaan peralatan teknik tersebut, yang disebabkan kurangnya pengetahuan para masyarakat. Dengan dilakukannya sosialisasi alat-alat teknik sederhana tersebut, akan menghasilkan pemahaman yang baik diseluruh pemangku kepentingan yang di sekolah SMP Negeri 1 Dolog Pardamean baik guru maupun siswa yang akan dapat mengenal alat-alat teknik mesin sederhana yang dipakai baik itu di sekolah maupun di rumah.
Kata Kunci : konvensional; pengenalan; pertanian
Abstract:Abstract: The Salah Nama island is located in the middle of the Musi River waters, located in Mariana Ilir Village, Banyuasin 1 District, Banyuasin Regency, South Sumatra Province. The people of Salah Nama Island have UMKM…
KM engaged in culinary, animal husbandry and agriculture. The current obstacle that is still being faced is the marketing of UMKM products. Coupled with access to locations that are still quite difficult to reach. Lack of promotion due to lack of marketing strategy is a major problem. Globalization that continues to grow is also marked by the number of existing social media. Today, social media has become the center of public attention that can be used as a means of product marketing. The lack of information and knowledge about the use of the internet and social media in the people of Salah Nama Island is one of the causes of the non-optimal use of existing social media. This service program is carried out with the aim of training the community in using social media so that they can increase the marketing of UMKM products on Salah Nama Island. The method used is by conducting counseling, practical assistance, to discussion. From the stages of service that have been carried out, the community understands how to create social media accounts and understands the use of social media in various aspects, not only as a means of communication. So that people can use social media to improve the economy.
Keywords: marketing; micro small medium enterprises; salah nama island; social media
Abstrak: Pulau salah nama berada di tengah perairan Sungai Musi, berlokasi di Kelurahan Mariana Ilir, Kecamatan Banyuasin 1, Kabupaten Banyuasin, Propinsi Sumatera Selatan. Masyarakat Pulau Salah Nama memiliki UMKM yang bergerak dibidang kuliner, peternakan dan pertanian. Kendala saat ini yang masih dihadapi ialah bidang pemasaran produk UMKM. Ditambah dengan akses lokasi yang masih cukup sulit dijangkau. Kurangnya promosi akibat minimnya strategi pemasaran menjadi permasalahan utama. Globalisasi yang terus berkembang juga ditandai dengan banyaknya media sosial yang ada. Dewasa ini media sosial menjadi pusat perhatian publik yang dapat dimanfaatkan untuk menjadi sarana pemasaran produk. Minimnya informasi dan pengetahuan mengenai penggunaan internet dan media sosial pada masyarakat Pulau Salah Nama menjadi salah satu penyebab belum optimalnya penggunaan media sosial yang ada. Program pengabdian ini dilaksanakan dengan tujuan untuk melatih masyarakat dalam menggunaan media sosial sehingga dapat meningkatkan pemasaran produk UMKM di Pulau Salah Nama. Metode yang digunakan yaitu dengan melakukan penyuluhan, pendampingan praktik, hingga diskusi. Dari tahapan pengabdian yang sudah dilaksanakan masyarakat menjadi paham cara pembuatan akun media sosial dan mengerti kegunaan media sosial dalam berbagai aspek tidak hanya sebagai sarana komunikasi. Sehingga masyarakat dapat memanfaatkan media sosial untuk meningkatkan perekonomian.
Kata kunci: media sosial; pemasaran; pulau salah nama; usaha mikro kecil menengah
Abstract:Abstract: urban farming means to cultivate and nurture animals in a city or within its rural area. There are variety of plants that could be grown namely vegetables and fruits. Urban agriculture is expeted to help improve…
e the economy of the people in an area because the yields produced can provide economic benefits. The Asofa Foundation tried to capture this opportunity in the context of developing a masjid-based economy through hydroponic training for the surrounding community. Therefore, a series of training was conducted to improve the capacity of the community. The training included training on seeding vegetables in rockwool, training on transplanting, and training in preparing and mixing hydroponic fertilizers. The results of the training were that residents were able to cultivate plants using hydroponics. However, the boundary was the environmental conditions (in this case water) in Bekasi which were not good enough so that the seedlings died after being transplanted into the hydroponic kit. Further training needed can be in the form of training fruit plants using hydroponics which can withstand inadequate water conditions. Another training that can be carried out is training in vegetable cultivation with planting methods other than hydroponics that are able to accommodate environmental conditions
Keywords: urban farming, economic development, masjid-based economy, trainings
Abstrak: Pertanian perkotaan adalah menanam dan memelihara binatang ternak di dalam atau sekitar kota. Beragam jenis tanaman dapat dibudidayakan terutama tanaman sayuran dan buah. Pertanian perkotaan mampu membantu peningkatan ekonomi rakyat di suatu daerah karena hasil panen yang dihasilkan dapat memberikan keuntungan ekonomis. Peluang inilah yang berusaha ditangkap oleh Yayasan Asofa dalam rangka pengembangan ekonomi berbasis masjid lewat pelatihan hidroponik untuk masyarakat sekitar. Oleh karena itu, dilakukanlah serangkaian pelatihan untuk meningkatkan kemampuan masyarakatnya. Pelatihan yang dilakukan antara lain pelatihan penyemaian tanaman sayuran di rockwool, pelatihan pindah tanam, dan pelatihan meracik pupuk hidroponik. Hasil dari pelatihan tersebut adalah warga mampu melakukan budidaya tanaman dengan menggunakan hidroponik hanya saja kondisi lingkungan (dalam hal ini air) di daerah Bekasi kurang baik sehingga tanaman semaian mati setelah dipindahkan ke dalam kit hidroponik. Pelatihan lanjutan yang diperlukan dapat berupa pelatihan tanaman buah dengan menggunakan hidroponik yang tahan kondisi air yang kurang memadai. Pelatihan lain yang dapat dilakukan adalah pelatihan budidaya tanaman sayuran dengan metode tanam selain hidroponik yang mampu mengakomodasi kondisi lingkungan.
Kata kunci: pertanian perkotaan, pengembangan ekonomi, ekonomi berbasis masjid, pelatihan
Abstract:Abstract: The advancement of smart agriculture has become a promising solution to increase food productivity and land use efficiency in urban environments. This research aims to develop an Artificial Intelligence (AI)-based…
sed vertical hydroponic farming system integrated with LED grow light technology and catfish aquaponics. The proposed system combines vertical hydroponics and aquaponics to optimize plant growth and water utilization. Internet of Things technology enables real-time environmental monitoring through an Arduino Uno microcontroller integrated with LDR, soil moisture, pH, and NPK sensors. The obtained sensor data is processed using the Mamdani Fuzzy Logic algorithm, which performs fuzzification, rule inference, aggregation, and defuzzification to generate adaptive control decisions for irrigation, nutrient circulation, and LED grow light intensity. This research uses the Research and Development (R&D) method through prototype development and performance evaluation for 30 days using spinach (Amaranthus spp.) and mustard greens (Brassica juncea) as test plants. Experimental results showed that the developed system successfully maintained stable environmental conditions, with soil moisture ranging between 69–72%, a pH value between 6.4 and 6.6, and optimal nutrient availability. Plant growth increased significantly. The integration of IoT, AI and aquaponics improves cultivation efficiency, enabling environmental control as a smart and sustainable solution for urban agriculture.
Keywords: artificial intelligence; aquaponic; hydroponic; LED grow light; vertical farming
Abstract: Kemajuan pertanian cerdas telah menjadi solusi yang menjanjikan untuk meningkatkan produktivitas pangan dan efisiensi penggunaan lahan di lingkungan perkotaan. Penelitian ini bertujuan untuk mengembangkan sistem pertanian hidroponik vertikal berbasis Kecerdasan Buatan (AI) yang terintegrasi dengan teknologi lampu tumbuh LED dan aquaponik ikan lele. Sistem yang diusulkan menggabungkan hidroponik vertikal dan aquaponik untuk mengoptimalkan pertumbuhan tanaman dan pemanfaatan air. Teknologi Internet of Things memungkinkan pemantauan lingkungan secara real-time melalui mikrokontroler arduino uno yang terintegrasi dengan sensor LDR, kelembaban tanah, pH, dan NPK. Data sensor yang diperoleh diproses menggunakan algoritma Logika Fuzzy Mamdani, yang melakukan fuzzifikasi, inferensi aturan, agregasi, dan defuzzifikasi untuk menghasilkan keputusan kontrol adaptif untuk irigasi, sirkulasi nutrisi, dan intensitas lampu tumbuh LED. Penelitian ini menggunakan metode Pengembangan (R&D) melalui pengembangan prototipe dan evaluasi kinerja selama 30 hari menggunakan bayam (Amaranthus spp.) dan sawi hijau (Brassica juncea) sebagai tanaman uji. Hasil eksperimen menunjukkan bahwa sistem yang dikembangkan berhasil mempertahankan kondisi lingkungan yang stabil, dengan kelembaban tanah berkisar antara 69–72%, nilai pH antara 6,4 dan 6,6, dan ketersediaan nutrisi yang optimal. Pertumbuhan tanaman meningkat secara signifikan. Integrasi IoT, AI dan aquaponik meningkatkan efisiensi budidaya, untuk pengendalian lingkungan sebagai solusi cerdas dan berkelanjutan untuk pertanian perkotaan.
Keywords: aquaponik; kecerdasan buatan; hidroponik; lampu tumbuh LED; pertanian vertikal
Abstract:Abstract: The development of information and communication technology has driven digital transformation in various sectors, including agriculture. One of the technologies widely applied is the Internet of Things (IoT), which…
hich enables devices to be interconnected through the internet to perform monitoring and data exchange in real time. In hydroponic cultivation, water quality stability is a crucial factor that affects plant growth. The main parameters that need to be monitored include water acidity level (pH), water temperature, and dissolved nutrient concentration measured using Total Dissolved Solids (TDS). However, water quality monitoring is still commonly conducted manually, making it less efficient and potentially causing delays in detecting changes in water conditions. This study aims to design an IoT-based water quality monitoring system for hydroponic cultivation using an ESP32 microcontroller integrated with pH, temperature, and TDS sensors. The collected data are sent to a server and displayed on a web dashboard in real time, equipped with automatic notification features. The proposed system is expected to improve monitoring efficiency and increase the productivity of hydroponic cultivation
Keywords: esp32; hydroponics; internet of things; real-time monitoring; water quality.
Abstrak: Perkembangan teknologi informasi dan komunikasi mendorong transformasi digital dalam berbagai sektor, termasuk pertanian. Salah satu teknologi yang banyak diterapkan adalah Internet of Things (IoT) yang memungkinkan perangkat saling terhubung melalui jaringan internet untuk melakukan pemantauan dan pertukaran data secara real-time. Pada budidaya hidroponik, kestabilan kualitas air menjadi faktor penting yang mempengaruhi pertumbuhan tanaman. Parameter utama yang perlu diperhatikan meliputi tingkat keasaman air (pH), suhu air, serta konsentrasi nutrisi terlarut yang diukur menggunakan Total Dissolved Solids (TDS). Namun, pemantauan kualitas air masih banyak dilakukan secara manual sehingga kurang efisien dan berpotensi menimbulkan keterlambatan dalam mendeteksi perubahan kondisi air. Penelitian ini bertujuan merancang sistem pemantauan kualitas air hidroponik berbasis IoT menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor pH, suhu, dan TDS. Data dikirim ke server dan ditampilkan pada web dashboard secara real-time serta dilengkapi notifikasi otomatis. Sistem ini diharapkan meningkatkan efisiensi pemantauan dan produktivitas budidaya hidroponik.
Kata kunci: esp32; hidroponik; internet of things; kualitas air; monitoring real-time
Abstract:Abstract: Soil moisture is an important factor in determining the watering needs of plants for optimal growth. Therefore, accurate monitoring of soil moisture is necessary. This research aims to design and build a soil moisture…
oisture detection tool based on the Decision Tree algorithm with the support of the YL-69 sensor for humidity measurement and the DHT11 sensor for temperature measurement to increase data accuracy. This system uses NodeMCU ESP8266 as a microcontroller and is integrated with an Android application as a user interface. Sensor interpretation data is analyzed using the Decision Tree algorithm to determine soil conditions (dry, damp or wet). The test results show an accuracy level of 95% from 300 data samples. Thus, this system is able to detect soil moisture effectively and can help increase the efficiency of crop management on a household and commercial agricultural scale.
Keywords: agriculture, android, decision tree algorithm, sensors, soil moisture detection
Abstract:Abstract: In agriculture, irrigation systems are vital for enhancing water management and maximising plant growth. Effective irrigation management involves distributing sufficient quantities of water evenly to condition…
soil fertility for plants. This study aims to design a prototype that can be monitored via the Telegram app. The research methodology employs a thinking framework approach. The system is implemented using an Arduino Uno microcontroller and supporting devices, including an ESP8266 Wi-Fi module, an ultrasonic sensor, a soil moisture sensor, a stepper motor and a servo motor. Telegram serves as the monitoring tool, sending notifications connected to the Arduino via a Wi-Fi network. Test results showed that the system operates effectively: the HC-SR04 ultrasonic sensor functions as a water level reader, and the stepper motor opens and closes the water gate. Soil moisture monitoring uses a soil moisture sensor to measure the water content in the soil. If the sensor detects dry soil conditions or a moisture level below 60%, the servo motor will rotate 15° to close the water channel. Conversely, if the sensor detects wet or moist soil conditions, the servo motor will rotate 0° to close the water channel.
Keywords: arduino uno; irrigation system; soil moisture; ultrasonic sensor;
Abstract:Abstract: Water irrigation is a crucial aspect of agriculture that often becomes the primary concern for farmers, especially because suboptimal management can lead to decreased crop yields and reduced income. So far, farmers…
mers have been practicing irrigation manually, where plants are watered twice a day, in the morning and evening, based on weather conditions without considering soil temperature or moisture levels. Based on the observations conducted, it was found that excessive water application increases water accumulation, resulting in nutrient loss from the soil and even root diseases. The objective of this study is to develop a system utilizing an ESP32 microcontroller and sensors to detect soil moisture, with a machine learning-based K-Nearest Neighbor (KNN) model, enabling farmers to remotely monitor and control their crops using an Android device. The testing results showed that with input data of 32°C temperature, 40% soil moisture, and 60% air humidity, the system produced a nearest distance of 0.000 and 0.541 from the closest k-nearest neighbors, with a status label of "needs water." As a result, the relay activates the water pump to irrigate the field. Meanwhile, for data with a nearest distance of 0.897, the system identified the status as "does not need water," indicating that the soil remains wet or moist. This study is expected to help reduce farmers' workloads by optimizing water usage according to plant needs and improving crop quality and yield.
Keywords: k-nearest neighbor (KNN); mikrokontroller ESP32; machine learning; water irrigation
Abstrak: Irigasi air merupakan aspek penting dalam pertanian yang menjadi perhatian utama petani, terutama karena pengelolaan yang kurang optimal berdampak pada penurunan hasil panen dan pendapatan. Selama ini, praktik irigasi oleh petani dilakukan secara manual, di mana penyiraman tanaman dilakukan dua kali sehari pada pagi dan sore berdasarkan kondisi cuaca tanpa memperhatikan suhu atau kelembaban tanah. Berdasarkan hasil observasi yang dilakukan, ditemukan masalah yaitu pemberian air secara berlebih menyebabkan akumulasi air meningkat mengakibatkan kehilangan nutrisi tanah dan bahkan penyakit akar. Tujuan penelitian ini menciptakan sistem yang dirancang menggunakan mikrokontroler ESP32 dan sensor untuk mendeteksi kelembaban tanah, dengan model K-Nearest Neighbor (KNN) berbasis machine learning sehingga memudahkan petani untuk mengontrol tanaman mereka dari jarak jauh menggunakan android. Hasil pengujian yang dilakukan dengan data inputan berupa suhu 32°C, kelembaban tanah 40% dan kelembaban udara 60%, sistem menghasilkan jarak terdekat sebesar 0.000 dan 0.541 dari k-nearest terdekat dengan label status "butuh air". Maka relay akan mengaktifkan pompa air untuk mengairi lahan. Kemudian, pada data dengan jarak terdekat 0.897, sistem mengidentifikasi status "tidak butuh air", menunjukkan bahwa kondisi tanah masih basah atau lembab. Penelitian ini diharapkan dapat membantu meringankan beban kerja petani mengoptimalkan penggunaan air sesuai dengan kebutuhan tanaman dan meningkatkan kualitas hasil panen.
Kata kunci: irigasi air; k-nearest neighbor (KNN); mikrokontroller ESP32; machine learning
Abstract:Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating…
imating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values.
Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine
Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi.
Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine