Teknologi saat ini berkembang pesat dengan ada masalah covid tersebut, masyarakat mulai berlombamencari solusi terhadap masalah yang mereka hadapi sesuai dengan kemampuan keilmuan mereka. Meraka yangahli di bidang virus berusaha dengan cepat menemukan vaksin dan obat untuk covid, di bidang Pendidikan mulaimelirik penggunaan teknologi dalam proses pembelajaran yang berlangsung. Penggunaan aplikasi di android adalahmerupakan salah satu solusi.Proses pembelajaran yang di mana di larang dalam 1 lokasi dalam jumlah banyak danmebaca buku di rasa membosankan oleh bebrapa siswa pada sd peleburan 3 semarang [4], penggunaan mediapembelajaran berbasis android di rasa salah satu pendukung proses pembelajaran. Proses pembelajaran saat inimasih manual menggunakan buku , siswa belajar di rumah menggunakan media buku dan guru akan berkomunikasidengan wa menjelaskan proses pembelajaran nya[5].Hal ini sangatlah menyulitkan siswa dan banyak dari beberapasiswa tidak tertarik dengan metode belajar tersebut. Oleh karena itu di perlukan media pembelajaran yang dapatmenarik siswa untuk memahami materi pembelajaran nya[6].Penggunaan teknologi salah satu nya adalah pemakai

IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If  DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation  in chicken farms is highly recommended.

The special component of malicious software analysis is advanced malicious software analysis which implicates interested the main framework of malicious software that can be executed after executing it and aggressive malicious software investigation depend on inquisitive of the practice of malicious software after running it in a composed habitat. Advanced malicious software analysis is usually performed by contemporary anti-malicious software operating systems using signature-based analysis.
The purpose of this research is to propose also decide a DNN for the progressive identification of portable files to study the features of portable executable malicious software to minimize the occurrence of distorted likeness when aware of advanced malicious software. The model proposed in this study is a NN with a Dropout model contrary to a resolution tree model to examine how well it performs in detecting real malicious PE files. Setup-skeptic methods are used to extract features from files. The dataset is used to train the proposed approach and measure outcomes by alternative common malicious software datasets.
The results from this study illustrate that the use of simple DNNs to study PE vector elements is not only efficient but more fewer system comprehensive than the traditional interested disclosure approach. The model proposed in this study achieves an A-UC of ninety-nine point eight with ninety accurate specifics at one percent inaccurate specific on the R-OC curve. For shows that this model has the potential to complement or replace conventional anti-malicious software operating systems so for future research, it is proposed to implement this model practically.

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign

Keamanan Parkir UIN Walisongo Semarang saat ini bisa dikatakan kondisinya memprihatinkan. Tingginya kasus kehilangan kendaraan bermotor menimbulkan kecemasan bagi civitas akademika. Sistem parkir yang tradisional yaitu melakukan pengecekan KTP di pintu keluar kampus kurang efektif. Oleh karena itu perlu adanya sistem keamanan parkir yang modern dan terkomputerisasi, sehingga aktivitas keluar kendaraan dapat terekam dan disimpan secara otomatis. Berdasarkan permasalahan tersebut, maka penulis merancang Sistem Keamanan Parkir berbasis WEB sebagai bentuk peningkatan keamanan parkir kampus UIN Walisongo Semarang. Dengan menggunakan teknologi RFID (Radio Frequency Identification) yang ditanamkan pada kartu identitas, yang nantinya dapat digunakan sebagai alat otentikasi pengetikan akan masuk dan keluar area kampus. Untuk memberikan keamanan ganda, terdapat Fitur Live Camera dengan basis website yang berfungsi sebagai alat untuk memonitor kendaraan yang sedang parkir secara real time. Keluaran dari tugas akhir ini adalah menghasilkan sebuah prototipe sistem keamanan parkir. Tidak hanya perangkat keras khusus, tetapi juga desain perangkat lunak Sistem pemantauan kendaraan secara langsung berbasis Web. Sehingga pengguna fasilitas parkir bisa memantau kendaraannya dimana.
 

Technological developments encourage changes in the way decisions are made. In terms of stopping the application of urea fertilizer, farmers still rely on BWD observations. In this study, using the RnD method by directly observing the research location in the farmer group Gapoktan, in the village of Tosari, Kendan district and analyzing the problem then making a prototype which will be tested by experts. In this study, a tool was made using NodeMCU with TCS3200 sensor to detect color, which was then sent via the internet to the database using IoT technology. In this study, using several trials with different parameters of urea fertilizer use and the results of the TCS3200 sensor can detect colors according to what is on the BWD and send data to the database via the internet. In this system, farmers can recommend the use of suitable urea fertilizers outside a certain area so as to minimize errors in the observation on BWD, this will make the use of urea fertilizer to be the right dose.
 

Abstract Along with the development of information technology, especially in the field of communication, the use of Android mobile phones has become commonplace. The tedious and monotonous learning process of Tembang Mocopat generates the students' disinterest in learning it at school. Regarding this, E-Tembang is used to increase students'interest at school and help to preserve the culture of Tembang macapat . This study used the R & D method to conduct the research and Android Studio to create the application and took 100 respondents for their opinions. The result of this study indicated that 78% show interest in using E-Tembang, while 66% like and are interested and 86% want to use it. However, it is undeniable that 23% of students do not like learning by using mobile telephones and prefer to study in the classroom. Basically, students will like to learn any subject that is attractive to them. By using E-Tembang students can learn together at home and share the knowledge of tembang macapat