Areca nut (Areca catechu) is a kind of palm plant that grows in Asia and Africa, the eastern part of the Pacific and in Indonesia itself, areca nut can also be found on the islands of Java, Sumatra and Kalimantan. At the stage of classifying the maturity of the betel nut so far, it is still using the manual method which at that stage has subjective weaknesses. Based on these problems, researchers will create a system that is able to classify the level of maturity of areca nut using HSV feature extraction with assistance at the classification stage using the KNN method. In this study, 842 datasets were used which were divided into 3 types of classes, namely ripe, unripe and old fruit. The dataset was divided into 683 training data and 159 test data. In the next stage, the data is tested using the K-Nearest Neighbor method by calculating the closest distance using k = 1. From the results of the calculation of the closest distance k1 produces an accuracy rate of 87.42%. Kata kunci— Matlab, Areca Ripeness, KNN, HSV.

ABSTRAKDi era pandemi Covid-19 yang terjadi saat ini telah membawa dampak besar di berbagai negara, termasuk di negara Indonesia. Setiap negara mempunyai kebijakan sendiri dalam menangani wabah ini, mulai dari diwajibkan untuk menjaga jarak, penerapan protokol kesehatan, hingga adanya penyaluran bantuan sosial dari pemerintah dengan tujuan terpenuhi nya semua kebutuhan masyarakat terutama yang terdampak langsung akibat pandemi ini. Bantuan sosial tersebut bermacam macam, diantaranya adalah Bantuan Sosial Tunai, Bantuan Sembako, Program Keluarga Harapan, dan masih banyak lagi. Terkait sistem untuk pendataan masyarakat yang menerima bantuan sosial juga menjadi sangat penting sehingga data warga yang terpilih mendapatkan bantuan sosial lebih tepat sasaran dan juga lebih akurat. Oleh karena itu, perlu dibuatkan suatu sistem pengelolaan bantuan agar dapat membantu pengurus RT untuk menyalurkan bantuan sosial secara lebih akurat dan efisien. Tujuan dilakukannya pengabdian ini adalah meningkatkan ketepatan dalam penyaluran bantuan dari pemerintah kepada seluruh masyarakat. Dalam pembuatan sistem informasi pengelolaan bantuan berbasis web yang efektif, efisien dan akurat perlu menggunakan metode waterfall atau metode pengembangan perangkat lunak dengan melalui tahapan observasi, Analisis Kebutuhan atau Wawancara, Studi pustaka, Desain sistem, Implementasi dan sistem testing, dan Maintenance sistem. Manfaat yang di dapat dari pengabdian ini yaitu hasil analisa dapat digunakan untuk merancang sistem informasi pengelolaan bantuan sosial di Kampung Pulojahe, RT 006 RW 014 Jakarta Timur. Kata kunci: bantuan sosial; pengelolaan bantuan; warga ABSTRACTIn the current era of the Covid-19 pandemic, it has had a major impact in various countries, including Indonesia. Each country has its own policy in dealing with this outbreak, starting from being required to maintain distance, implementing health protocols, to distributing social assistance from the government with the aim of meeting all community needs, especially those directly affected by this pandemic. There are various kinds of social assistance, including Cash Social Assistance, Basic Food Assistance, Family Hope Program, and many more. Regarding the system for collecting data on people who receive social assistance, it is also very important so that the data on citizens who are selected to receive social assistance is more targeted and also more accurate. Therefore, it is necessary to develop an aid management system in order to assist RT management in distributing social assistance more accurately and efficiently. The purpose of this service is to increase accuracy in the distribution of assistance from the government to the entire community. In making an effective, efficient and accurate web-based assistance management information system, it is necessary to use the waterfall method or software development method by going through the stages of observation, needs analysis or interviews, literature study, system design, implementation and system testing, and system maintenance. The benefit from this service is that the results of the analysis can be used to design an information system for the management of social assistance in Pulojahe Village, RT 006 RW 014 East Jakarta. Keywords: social assistance; assistance management; resident