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In this community service activity, efforts have been made to mobilize and empower the community through Bembo Art as a motivator and facilitator. However, many people still lack the level of participation required to become independent entrepreneurs to achieve prosperity. This lack of community participation is caused by several factors, namely: firstly, many people lack awareness of community empowerment activities; secondly, people are unable to balance empowerment activities with their daily work. On the other hand, some people who have been mobilized in these empowerment activities acknowledge that they have gained a lot of knowledge after participating in them. Therefore, the willingness to participate is not in vain in order to improve their standard of living both now and in the future.

The process of identifying the ripeness level of cayenne peppers is an important step in cultivation and post-harvest handling. Dependence on the quality factors of farmers, such as visual diversity and differences in ripeness perception, results in subjective harvest outcomes. This manual process is also prone to inconsistent results, as humans have time limitations, fatigue, and sometimes lack concentration when sorting for long periods. To minimize these issues, technological intervention is needed to mechanically classify the ripeness level of cayenne peppers. This research aims to develop a classification model for the maturity level of cayenne pepper plants. This research proposes the use of the CNN method for feature extraction and KNN for data classification based on the features extracted by CNN. From the test scenarios carried out, the classification carried out by KNN based on CNN feature extraction got the best accuracy of 99.33%, while the CNN classification model got the best accuracy of 87.33%.

Salah satu aspek krusial dalam menilai kecukupan sebuah bangunan adalah daya dukung tapak. Studi ini mengkaji berbagai faktor seperti Koefisien Dasar Bangunan (KDB), Koefisien Lantai Bangunan (KLB), Garis Sempadan Bangunan (GSB), Jumlah Lantai Bangunan (JLB), Koefisien Dasar Hijau (KDH), dan Ruang Terbuka Hijau Pekarangan (RTHP). Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis kesesuaian perancangan Gedung Radjawali Culture Center Semarang berdasarkan daya dukung tapak. Aplikasi hasil penelitian diharapkan dapat memecahkan permasalahan dalam persyaratan untuk mendapatkan legalisasi kelayakan bangunan yang sering terjadi pada proses pembangunan. Manfaat lainnya, kajian terhadap daya dukung tapak dapat digunakan untuk mengetahui kemampuan suatu tapak dalam menjamin kesesuaian dengan peraturan yang berlaku, kenyamanan pengguna bangunan, serta menjaga keselarasan dengan lingkungan sekitarnya. Berdasarkan evaluasi KDB, Gedung Radjawali Culture Center memenuhi persyaratan setempat sebesar 50%. Evaluasi terhadap KLB dan JLB juga menunjukkan bahwa gedung ini mematuhi peraturan dengan memiliki 4 lantai dari maksimal 7 lantai yang diizinkan. Namun demikian, evaluasi terhadap GSB menunjukkan bahwa bagian samping gedung tidak memenuhi persyaratan karena berhimpit dengan pagar bangunan sebelah. Evaluasi terhadap KDH dan RTHP menunjukkan bahwa penanaman tanaman perlu diperbanyak untuk memenuhi ketentuan minimal yang ditetapkan.

Herbal medicine is one type of traditional Indonesian medicine made from natural ingredients and is a cultural heritage passed down from generation to generation. One of the problems is the lack of knowledge about the benefits of TOGA plants, which are not only used as kitchen spices but can also be utilized as powdered herbal drinks. The main objective of this community service activity is to train and disseminate information on the education and production of powdered herbal drinks that can be sold to the PKK women in Lenteng Timur village, providing additional income for their families. The aim of this research is to determine whether TOGA plants can help the PKK women in Lenteng Timur village earn more income. The methods of socialization, education, training, and evaluation are used in this study. The findings show that before the training, 77.5% of the PKK women in Lenteng Timur village only knew about the use of TOGA plants as powdered herbal drinks; however, after the training, their knowledge increased by 22.5%.

White root disease is a major disease threatening the productivity of rubber plants. The community’s knowledge about White root disease is still limited, especially in recognizing early symptoms and its impact on rubber plants. Therefore, this community service activity aims to socialize knowledge about White root disease to the rubber plantation community in Banyuasin III, South Sumatra. This activity involves a series of counseling and interactive discussions about White root disease, including the introduction of symptoms, impacts on plants and the environment, and the importance of early detection. In addition, this activity also involves field demonstrations on how to identify White root disease symptoms in rubber plants. The results of this activity show an increase in community knowledge and awareness about White root disease. The community has become more capable of recognizing the early symptoms of White root disease and understanding the importance of early detection to prevent further spread. This activity contributes positively to the efforts of sustainable rubber plant management in Banyuasin III, South Sumatra.

The empowerment carried out by Dasawisma’s Family Welfare Empowerment, Sempaja Selatan Subdistrict is an activity that functions as an effort to cultivating plants on limited land. This research discusses (1) describing the process of empowering the use of medicinal plants and (2) identifying the factors that influence the empowerment of the use of medicinal plants in Dasawisma’s Family Welfare Empowerment. This study used qualitative research methods. Data collection techniques are through observation, interviews and documentation. Data analysis techniques are carried out by data reduction, data presentation, and drawing conclusions. Validity of data using triangulation techniques and techniques. The results of this research consist of: (1) Empowerment of the Use of Medicinal Plants which includes: a) awareness stage based on the results of identification and discussions carried out by Dasawisma’s Family Welfare Empowerment members with the Village Head b) capacity building stage carried out by socialization, introduction, training, and determining learning models for medicinal plants and c) the empowerment stage involves distributing tasks and empowering PKK members to become independent. 2) Factors that support empowerment are the unity of members who want to develop, trainers who are appropriate to their field, and funds fully supported by the village head.

Detecting diseases in durian plants is a significant challenge in the agricultural sector, impacting yield and quality. This research aims to improve disease identification in durian plants by applying the Convolutional Neural Network (CNN) algorithm. The method involves collecting images of durian leaves, stems, and fruits infected by various diseases and using data augmentation techniques to expand the dataset and reduce overfitting. With the CNN model trained using this dataset, the accuracy reached 62% on validation data, with the highest accuracy for the “Healthy” class at 83%. The research results show that CNN is effective in recognizing diseases in durian plants, although there is still room for improvement through model optimization and the addition of training data. The implications of this research include the development of an AI-based disease detection system that can help farmers care for durian plants more efficiently and timely.

Meningkatnya jumlah kesakitan dan kematian akibat diabetes merupakan masalah kesehatan global. Secara klinis, penggunaan bahan kimia (obat hiperglikemik oral) secara berkelanjutan dapat memberikan efek yang buruk pada tubuh. Pernyataan ini membuat peneliti untuk melakukan penelitian mengenai obat antidiabetes yang terbuat dari bahan alami seperti tanaman kenitu (Chrysophyllum canito L.). Tujuannya adalah untuk melihat efektivitas pada ekstrak etanol daun kenitu (Chrysophyllum canito L.) sebagai antidiabetes serta kandungan kimia pada ekstrak etanol daun kenitu (Chrysophyllum canito L.) dan dosis efektif dari ekstrak etanol daun kenitu (Chrysophyllum canito L.) dalam mengurangi glukosa darah. Metode penelitian yang digunakan eksperimental laboratorium dengan 5 kelompok uji diantaranya K-, K+, dan kelompok dosis dengan konsentrasi 25, 50, dan 75 mg/kgBB. Hasil penelitian ditemukan ketidaksamaan yang bermakna antara kelompok K- dan kelompok K+ serta kelompok K- dan kelompok dosis, tetapi tidak ditemukan ketidaksamaan yang bermakna pada kelompok kontrol positif dan kelompok dosis. Kesimpulannya adalah  pemberian ekstrak etanol daun kenitu melalui dosis 25, 50, dan 75 mg/kgBB dapat mengurangi glukosa darah tinggi dikarenakan senyawa yang ada pada ekstrak etanol daun kenitu, yaitu tanin, flavonoid, saponin, alkaloid dan steroid. Dosis ekstrak yang efektif dalam mengurangi glukosa darah adalah 75 mg/kgBB.

Smart farming has become a rapidly growing research area with the aim of increasing agricultural productivity and efficiency through advanced technologies. One of the key technologies in smart agriculture is image processing, which enables real-time monitoring and analysis of crop conditions. This article reviews image processing applications in smart agriculture, with a focus on the methods and techniques used for crop monitoring. Image processing methods discussed include pest and disease detection, measuring plant growth, as well as monitoring soil moisture and plant health. Image processing techniques such as convolution-based image analysis (Convolutional Neural Networks/CNNs), image segmentation, and pattern recognition are applied to obtain accurate and relevant information. Case studies and field experiments show that image processing can provide accurate and real-time data, enabling farmers to make more informed and efficient decisions. In conclusion, the application of image processing technology in smart agriculture has great potential to increase crop yields, reduce resource use, and advance sustainable agricultural practices.

Hydroponic plants are plants that grow using hydro or water media. This plant is more efficient in saving space, soil media and fertilizer and so on. This community service research aims to describe strategies for improving the economy of PKK mothers by implementing the idea of hydroponic plants in Pertanmaduretno Village, Taman District, Sidoarjo Regency. The author used descriptive qualitative research with observation and documentation data collection techniques at the research location. Data analysis techniques use data collection, data presentation, data condensation, and data conclusion. The results of the research show that the hydroponic plant strategy is effective in improving the economy of PKK mothers. The author participated in observing and playing a direct role in planting hydroponic plants.

This research aims to inventory the diversity of plants belonging to the Araceae family found in Taman Maluku, Bandung, West Java. The Araceae family is known for its diverse plants with unique characteristics that are important for the local ecosystem. The method used in this research includes field surveys. The results show that there are several species from the Araceae family distributed across various areas of Taman Maluku Bandung, with a total of 5 genera from 1 family found. This study provides important information on biodiversity in Taman Maluku and serves as a basis for conservation and sustainable management efforts in the park. These findings can also contribute to scientific knowledge about Araceae flora in tropical regions.

The Al Jabbar Grand Mosque, located in Bandung, West Java Province, has a land area of ​​26 Ha, which is surrounded by a lake and various types of plants in it. Data regarding the types of plants found in the Al Jabbar Grand Mosque area is still minimal, so it is important to package it in the form of an inventory. Plants have various benefits, one of which is as a phytoremediation agent. This research aims to inventory plants in the Al Jabbar Grand Mosque area and their potential as phytoremediation agents based on literature studies. The method used is a qualitative approach method where observations are carried out and interviews are carried out with informants using a purposive sampling method. The data obtained was analyzed with reference to journals and books. The research results showed that there were 80 plant species, from 68 plant genera and from 37 family. There are 11 plant species that have the potential to act as phytoremediation agents in the Al Jabbar Grand Mosque area.

The yard of the house is an area of ​​land covered with various types of plants. Most of the plants in the house yard were deliberately planted by the owner. This research aims to manifest diversity and inventory types of garden plants in the homes of residents of RW 11, Kebonjayanti Village, Kiaracondong District, Bandung City. The research method used to obtain research data is an exploratory method. This research was carried out by exploring and observing directly the types of garden plants. Plants are identified using the help of the PlantNet application. Based on research data from the RW 11 area, Kebonjayanti Village, Kiaracondong District, Bandung City, 81 types of plants were found consisting of 40 families. The dominant family is the Araceae family.    

The potential of organic waste such as coconut husk and coconut shell charcoal as a source of organic fertilizer that can enhance plant growth and yield. With the aim of examining the effects of coconut husk and coconut shell charcoal (Cocos nucifera L) on the growth and yield of cucumber plants (Cucumis sativus L), this research utilized an experimental method by applying different doses of coconut husk and coconut shell charcoal to the cucumber plants. The results of the study indicate that the treatment with 200 grams of coconut husk and 200 grams of coconut shell charcoal (treatment A2) had the most significant impact on the growth of cucumber plants, showing a significant increase in the number of leaves, number of fruits, fruit length, and wet fruit weight compared to other treatments. The implications of this research are that the application of coconut husk and coconut shell charcoal can be an environmentally friendly alternative to enhance agricultural productivity, improve soil fertility, and serve as a basis for the development of more sustainable agricultural practices in the future.

Pertanian modern menghadapi tantangan meningkatkan produktivitas tanpa merusak lingkungan. Salah satu solusi yang menarik adalah penggunaan pupuk organik cair dari limbah tahu yang difermentasi dengan bantuan Effective Microorganisme-4 (EM4), air kelapa, dan gula. Limbah tahu, produk sampingan industri tahu, memiliki potensi sebagai bahan baku pupuk organik. Proses fermentasi bertujuan meningkatkan kandungan nutrisi dan mengurangi dampak lingkungan limbah cair tahu. Penelitian ini fokus pada pembuatan pupuk organik cair dari limbah tahu melalui fermentasi dengan EM4, air kelapa, dan gula. Dengan mengkaji pertumbuhan tanaman cabe rawit sebagai contoh, penelitian bertujuan menguji efektivitas pupuk organik cair, mendukung pertanian berkelanjutan, menerapkan pupuk organik cair di pertanian, dan menganalisis kandungan nutrisi. Metode yang di gunakan dalam penelitian ini adalah Rancangan Acak Kelompok (RAK), dengan menggunakan eksperimental tambahan air kelapa, gula, dan larutan EM4 dengan bahan utama Limbah Cair Tahu, yang kemudian di fermentasi selama 0-7 hari dan di control setiap hari. Dalam mengkaji uji efektifitas Pupuk Organik Cair ini kemudian di terapkan pada tanaman cabe rawit yaitu dengan label tanaman A(menggunakan POC) dengan perlakuan pemberian POC sebanyak 5x250ml dalam setiap perlakuan, dengan perbandingan tanaman B(tidak menggunakan POC). Hasil penelitian menunjukkan bahwa perbandingan antara tanaman A dengan tanaman B pada usia 0 – 60 hari di lihat dari tinggi batang Tanaman A mencapai 58,3 cm, sedangkan Tanaman B mencapai 30,4 cm, terdapat juga perbedaan diameter batang kedua tanaman yaitu selisih kurang lebih 1mm. Hasil penelitiaan ini menunjukkan bahwa pemberian pupuk organik cair memiliki dampak positif pada pertumbuhan tanaman cabe rawit, seperti tinggi batang, warna daun, dan diameter batang yang lebih besar. Implikasi dari penelitian ini menciptakan peluang untuk praktik pertanian yang ramah lingkungan dan berkontribusi pada pengelolaan limbah secara berkelanjutan.

Corn plants are one of the most important carbohydrates producing plants in the world, apart from wheat and rice. Generally corn plants are just useded with the seeds. The lot of corn plant as art of decorating nails as a new innovation in the fields of nailart. The purpose of the research is to know how to use of corn plants as the art of decorating nails them in spring, knowing the result of validation of nailart product by utilizing corn skin, knowing the results of the public favorite level of nailart by utilizing corn skin. The research was carried out by observation methods, experiments, documentation, library, and questionnaire (inquiry). The manufacture of nailart from the corn plant is carried out three stages, namely corn skin drying, preparation of tools and ingredients for decorating nails from corn plants, and the stages of making art adorn the nails from corn plants. The validation outcomes of product validation of 6 validator choose product 3 because it fits the theme spring. The result of the favorite test to 20 respondents through google form total overall can be concluded 96,5% of respondent like and agree with the presence of nailart product from corn plants. Research suggestions need a special measurement on flower petals so that a consistent shape. When processed the corn skin is vulnerable to tears, drying should not be too long  

Tujuan  pengabdian masyarakat adalah pengenalan metode dan teknologi tepat guna  dengan metode akuamber  untuk teknik memadukan  usaha bertanam sayur mayur  dengan budidaya ikan dalam wadah ember.  Pelaksanaan  kegiatan di lahan  sempit, pekarangan  dan masih terkena sinar matahari karena tanaman sayuran dan ikan membutuhkan sinar matahari.   Hasil usaha dapat dimanfaatkan konsumsi, peningkatan gizi bagi Balita dan anak  serta anggota keluarga yang lain. Bahkan dapat dikonsumsi bersama dalam kegiatan rukun tetangga (RT/RW) dan kegiatan PKK sebagai usaha swadaya masyarakat.  Keberlanjutan kegiatan  PPM kepada  kelompok sasaran  dapat meningkatkan ketahanan pangan keluarga dengan menerapkan aplikasi probiotik pada budidaya polikultur antara ikan dan tanaman sayuran skala rumah tangga.

This community service was carried out in Sumbersari Hamlet, Mojojajar Village, Kemlagi District, Mojokerto Regency, with the aim of increasing the community's knowledge and skills in cultivating grass jelly plants to boost their economy. Community service activities last for 3 months and use counseling and mentoring methods. Counseling is carried out by providing material about the cultivation of grass jelly plants, including planting, maintenance and harvesting techniques to converting them into economically valuable products such as grass jelly ice and organic fertilizer from grass jelly waste. Mentoring is carried out by helping the community apply the material that has been presented in the counseling. The results of community service show a significant increase in community knowledge and skills in cultivating grass jelly plants after participating in counseling and mentoring. This is proven by the increasing number of participants who succeeded in harvesting grass jelly and their harvests. This increase also has a positive impact on the economy of the people of Sumbersari Hamlet, as can be seen from the increase in their average monthly income. The success of this community service shows that grass jelly cultivation can be a promising business alternative to improve the economy of rural communities. This community service program can be replicated in other areas with similar conditions.

Chili is one of the superior horticultural products which has quite high economic value. The demand for large red chili supplies is causes farmers to plant chilies continuously without paying attention to environmental factors. The use of kasgot fertilizer in the cultivation process can have a positive impact on plants. This research aimed to determine the effect of doses variants for the growth of Capsicum annuum L. The research method used RAL with 6 treatments K1: 150g. K2: 175g, K3: 200g, K4: 225g, K5: 250g, and K6: 275g each treatment was repeated 4 times to obtain 24 samples. Observation parameters include plant height, number of leaves, number of fruit and fruit weight. Data analysis used One Way ANOVA and continued with the Tukey test. Varying doses of kasgot fertilizer have a real influence on the growth parameters of plant height, number of leaves, number of fruit and fruit weight. Treatment with a dose of kasgot fertilizer (K1) 150g gave the highest average number of fruit (10.3 pieces) and fruit weight (82.375g). Meanwhile, a dose of 175g (K2) gave the highest average plant height (37.5 cm) and number of leaves (50.45 each). So the optimal dosage of kasgot fertilizer for the growth of large red chili plants is around 150-175g.    

The development of image processing technology today can create systems that are able to effectively recognize digital images, one of which is in the field of agriculture for plant disease identification. Citrus plants experience a decrease in productivity due to pathogen attacks on leaves such as Black Spot, Cancer, and CVDP so that disease identification is needed. The classification method that can be used to classify images is the K-Nearest Neighbor (K-NN) algorithm because it is simple and has high accuracy in image management. This study aims to implement and determine the performance of the K-NN algorithm in identifying citrus plant diseases based on leaf images. This research uses a dataset from the Kaggle website of 1,096 images. There are 12 research scenarios using the comparison between test data and training data as much as 4, namely (90% training data + 10% test data, 80% training data + 20% test data, 70% training data + 30% test data, 60% training data + 40% test data) and testing with 3 random state values (42, 32, 22). The results showed that the K-NN algorithm is very effective in identifying citrus plant diseases with the highest accuracy value in the 90% training data scenario and 10% test data with a value of K = 2 which is 98.5%.