Tomato is a fruit that grows in many tropical and subtropical areas. Tomatoes ripen very quickly, so improper handling can cause them to rot quickly. Distribution of tomatoes over long distances can cause quality degradation which can affect nutritional value. Farmers have many weaknesses to identify manual tomato ripeness due to factors such as fatigue, lack of motivation, experience, proficiency and so on. To solve this problem, the development of information technology allows identification of fruit maturity and even detection of fruit types with the help of computers. With the digital image, technology-based tomato maturity classification can be carried out. Therefore, in this study, the application of tomato maturity classification was carried out by applying the RGB average method to make it easier to determine the level of maturity of tomatoes. In this tomato maturity classification application, several processes are carried out, namely image reading, cropping, segmentation and RGB average calculation. There were 24 images of ripe tomatoes and 25 images of raw tomatoes used in the classification test for tomato maturity and the success rate was 95%.

The object of this research is the sub-field of instrumentation and engineering of the Jakarta BMKG meteorological equipment. This sub-sector of instrumentation and engineering of meteorological equipment is that which provides spare parts for meteorological equipment for meteorological stations throughout Indonesia. In the inventory of spare parts in the sub-field of instrumentation and engineering of meteorological equipment, MS Excel is still used on the computer so it is not practical and cannot be carried anywhere. By using the spare parts inventory application on this android phone and with the SQLite database, it will make it easier for the spare parts inventory process and more practical and can be carried everywhere.

Pada sistem akuaponik, air merupakan darah kehidupan. yang merupakan media cair, dimana seluruh nutrisi makro serta mikro penting diangkut dari akuakultur ke komponen sistem hidroponik, dan media dimana ikan serta tumbuhan menerima oksigen.  Permasalahan dalam pemantauan kualitas air di Garasi80 Majenang yang merupakan UMKM budidaya ikan lele dengan menggunakan sistem pengelolaan air resirkulasi akuaponik terdapat kendala, yang mana kondisi kualitas air sangat cepat mengalami perubahan, yang tidak bisa cukup dipantau secara berkala pada waktu tertentu. Beberapa atribut terkait kualitas air yang diantaranya: temperatur, konduktivitas listrik (EC), serta potential of Hydrogen (pH) akan diambil untuk diklasifikasikan menggunakan algoritma data mining k- Nearest Neighbors (k-NN) untuk dapat memprediksi kualitas air yang sangat baik, baik atau buruk. Machine learning pada aplikasi berbasis Internet of Things (IoT) dibangun dengan menerapkan algoritma k-NN dengan menggunakan pendekatan metode CRISP-DM yang memiliki tahapan yaitu bussines understanding, data understanding, modeling, evaluation, deployment. Penentuan k optimal pada tahapan evaluasi dengan menggunakan metode k-Fold Cross Validation didapatkan k=3 sebagai jumlah tiga tetangga terdekat. Hasil dari penelitian menunjukan bahwa penerapan algoritma k-NN pada machine learning berbasis IoT, memberikan akurasi yang baik yaitu sebesar 100% untuk mengklasifikasikan kuaitas air dari hasil pengujian sebanyak sepuluh data uji.

Pelaksanaan penelitian pada unit usaha UMKM budidaya ikan lele dengan akuaponik terintegrasi, yang mana pengelolaan air merupakan suatu hal yang sangat penting dikarenakan kualitas air yang baik akan mendukung pertumbuhan tanaman dan ikan yang lebih optimal. Dalam pengelolaan air dibutuhkan pengawasan terhadap parameter air secara realtime, sehingga perubahan kondisi air yang signifikan segera diketahui untuk segera dilakukan tindakan penanganan. Teknologi informasi memiliki peranan yang sangat diperlukan yang terdorong oleh pertumbuhan penduduk Indonesia yang sangatlah cepat guna meningkatkan produktifitas, efisiensi serta penekanan biaya. Program penelitian berupa aplikasi sistem monitoring pengelolaan air dibuat dengan berbasis mikrokontroler dan android pada sebuah paradigma sitem terdistribusi dengan model komunikasi publish/subscribe dengan menggunakan protokol MQTT. Beberapa parameter kondisi air seperti suhu, kelembaban, kepekatan air, deteksi bau gas amonia serta deteksi hujan ditampilkan pada aplikasi perangkat android. Desain dan perancangan dengan menyesuaikan proses bisnis pengukuran parameter air dikerjakan pada program penelitian dan mendapakan hasil uji bisa berjalan dan berfungsi secara baik.

We all realize and feel that today the world is moving fast towards the formation of a science-based society, science-based business activities and the realization of a new culture based on science and technology, especially information and communication technology or also known as information and communication technology whose main form is the internet. One form of using internet technology to support the learning process is E-Learning. With this E-Learning, educators or tutors can put learning materials, give assignments, collect assignments, and quizzes for evaluation. In the process of this research, the author uses a methodology that is commonly used by other research, the methodologies used include the method of literature study, observation, interviews with teachers, and literature studies. The purpose of this paper is to create a web-based learning media (e-Learning) that can be used by teachers as a learning tool with various sources for providing learning materials. The results achieved are the authors try to design a web-based learning media or better known as E-Learning. It is hoped that later the school can implement this E-Learning so that it can improve the performance of teachers as teachers and increase the absorption of students in mastering the material. The conclusion of this paper is that with E-Learning teachers and students are given convenience in the teaching and learning process and increase creativity for teachers and students.