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Fieldwork Practices were carried out at Pati National Vocational High School, from January 25, 2021 to February 20, 2021. In this Fieldwork Practice, the authors created an efficient application and management system for student data, especially for new students in a computerized manner. By using this web-based programming system, it can simplify data collection, automatic ranking based on National Exam scores, reduce paper usage, reduce cheating and are expected to overcome the obstacles experienced by both the committee for admission of new students and the parents of the students themselves. . This research produces a system that can handle the admission process of new students with the hope that it is more efficient and effective than the previous method.

Keseimbangan antara pasokan dan permintaan listrik sangat diperlukan untuk mendapatkan jaringan listrik yang stabil, agar dapat diketahui pola data kestabilan jaringan listrik ini maka diperlukan pengelompokkan atau pengklasifikasian terhadap data dengan memanfaatkan teknik data mining guna mengolah informasi. Untuk mencari metode data mining yang bisa menghasilkan akurasi terbaik dalam mengklasifikasikan data Kestabilan jaringan listrik, maka pada penelitian ini dilakukan perbandingan penerapan algoritma klasifikasi SVM dan Naïve Bayes terhadap dataset Electrical Grid Stability Simulated yang yang diambil dari UCI Machine Learning. Dari hasil pengujian klasifikasi kestabilan jaringan listrik yang telah dilakukan menggunakan aplikasi WEKA 3.8.2. Metode Support Vector Machine (SVM) menunjukan tingkat accuracy yang lebih baik yaitu sebesar 98.9%  jika  dibandingkan dengan metode Naive Bayes yang meghasilkan nilai akurasi sebesar 97.64% Hasil akurasi ini akan menunjukan hasil yang berbeda tergantung dengan jenis data, jumlah instance, label class dan Percentage split data yang digunakan.  

Peristiwa kebakaran merupakan kejadian yang sangat umum terjadi, banyak faktor yang mempengaruhi, di antaranya ialah; hubung pendek arus listrik, kebocoran gas, putung rokok. Kebakaran yang terjadi pasti akan berujung pada kerugian baik itu kerugian materil maupun korban jiwa. Pencegahan sejak dini sangat diperlukan yaitu dengan penerapa sitem pendeteksi kebakaran atau alarm kebakaran. Rancangan alat pendeteksi kebakaran terdiri dari flame sensor sebagai pendeteksi api, sensor MQ-2 sebagai mendeteksi adanya asap dalam ruangan. Serta dilengkapi dengan mikrokontroler Arduino. Berdasarkan kedua sensor indikator kebakaran ini akan ditampilkan melalui LCD dan apabila terjadi kebakaran akan di iringi dengan suara peringatan dari buzzer. Uji coba sistem terlebih dahulu melalui software proteus 8 profesional dengan tujuan membangun suatu alat pendeteksi kebakaran secara otomatis menggunakan flame sensor dan sensor asap MQ2, yang dilengkapi dengan LCD LM016L berbasis mikrokontroller arduino. Hailnya mampu memberikan gambara kepada kalayak umum bagaimana sistem kerja dari alat pendeteksi kebakaran/ alarm kebakaran yang dapat di representasikan memalui software proteus.

The waste processing and renewable energy are being the issues in the industrial 4.0 era. Kitchen and organic trash in the rural areas will become a disaster if there is no solutions. On the other hand, kitchen and organic waste have a positive side, that they can be converted into biogas which can be converted into electricity. On the Minister of Energy and Mineral Resources Regulation Number 27 of 2014, supports the development of biogas and will buy electricity from the biogas conversion. The potential for biogas that obtained by the organic trash per 1000 people is 7619.8 liters of biogas, it meas that the energy contained is still abundant and the production can still be increased if processed with a modern digester system. This research produces a tool in the form of a portable digester that named GenBIoT (IoT-based Biogas Generator) which can be used by the public to produce biogas that  used by home industries or general factories. This research used the research method that similar to System Development Life Cycle (SDLC), this tool is built with several stages starting from planning analysis, designing, functional testing, data analysis and reporting of the results or implementing this tool that can be used as an alternative, as a cheap and easy source energy. This tool is based on the Internet of Things so that this tool can be monitored regarding gas pressure in the reactor, biogas volume and it will detect if there is a biogas leak so it will displayed on the system. To produce the maximum biogas composition, 50% of cow dung is required, 40% of kitchen trash and 10% of water with a ratio of 5: 4: 1 so it will produce 40 kg of biogas with a volume of methane gas (VGM) 0.11 m3 of biogas for cow dung. and 0.04 m3. The third experiment becomes the basis of future biogas production with energy produced from biogas per day of 716.39 Wh

Perkembangan teknologi semakin maju, kemajuan perkembangan ini dapat memberi keuntungan kepada masyarakat seperti perkembangan pada bidang Kesehatan seperti pada penelitian ini yang membuat aplikasi monitoring kadar gula darah dan tingkat dehidrasi dengan menggunakan MIT App Inventor. MIT App Inventor sendiri merupakan aplikasi web sumber terbuka yang dikembangkan oleh google. Dalam pembuatan aplikasi di MIT App Inventor programnya menggunakan blok-blok yang sangat mudah. Aplikasi ini dapat memonitoring kadar gula darah dan tingkat dehidrasi karena terdapat bantuan dari Bluetooth hc-05 yang berfungsi sebagai komunikasi data pengiriman data monitoring dari Arduino ke android.

The use of information, media and communication technology has changed both the behavior of society and human civilization globally. The development of hospitals in Karawang is increasingly mushrooming, as well as the increasing number of degenerative diseases such as hypertension and diabetes, the increasing prevalence of chronic kidney disease. So it requires the handling of renal replacement therapy (Renal Replacement Therapy) because it is increasingly needed for cases of acute and chronic renal failure. The purpose of this research is to build an integrated and controlled information system that can simplify the patient administration process and reduce the effectiveness of the patient's time for dialysis. The methodology that the authors use in this study includes methods of identification and system design. System identification includes identification of the organization, running systems, and problem identification. The problems faced at this time in the Hemodialysis Installation. Patient data is not the same between patients who are served by hemodialysis (dialysis) and those in the application report, the transaction value for using tools and materials is sometimes empty or there is no transaction value in the application, it will cause losses to the customer. hospital. It is hoped that this system can eliminate the problems that have been happening so far.

Security is an aspect that is needed by all circles today. With security, it can reduce the risk of crime and worry about the crime. This study discusses a room monitoring camera system using a PIR sensor, if a movement occurs it will be detected by this sensor. To process it, NodeMCU is used, then using the Telegram Bot as a notification if a movement occurs. The way this system works is that the PIR sensor will detect the presence of people or not in the room that is given this security system, then NodeMCU will process the data to send notifications in the form of messages and the IP Camera will display live video broadcasts.

Academic means the teaching and learning process carried out in the classroom or school world. Academic information systems at SMAN 1 Ketungau Tengah previously still use manual management systems, such as the calculation of final manual values ​​as a result can cause delays in giving value, the data received is still in the form of paper files that can be lost or damaged, and not connected to the network from one computer to another computer so that the process of moving data still uses a flashdisk. The system certainly has a lot of weaknesses, the implication of which is the weakness of the administrative system, the waste of energy, the less optimal service, for example the distribution of report cards which are sometimes late, slow data processing and calculation errors. The system created aims to help ease calculations, can enter data more effectively and efficiently. The system development method used is SDLC (Sytem Development Life Cycle) which consists of planning, analysis, design, implementation and maintenance. Using the PHP programming language in its creation and MySQL as the database. The results of this study are a Mobile Web-based Academic Information System that helps the admin (staff) in managing data and printing report cards, teachers in managing values, students and parents / guardians in looking at schedules and grades.

Arzara company is a company engaged in the garment sector, the development of the company affects the level of production of goods, so that in order to balance the production needs, it must increase the number of employee needs. The problem that often occurs in Arzara's company is the lack of professionalism of the company's employees, resulting in unilateral termination of employment. Termination of employment of employees of course will also affect the amount of production of goods. The SAW method or often called Simple Additive Weighting is an algorithmic method used for decision making, using certain criteria as the weight of the assessment in decision support. In making employee admission decisions using the SAW method using several criteria, which include expertise (skills), work experience, age, gender, education, health, talent, character, temperament, character, general knowledge tests, psychological tests. By using the PHP programming language, it can be used to assist the company to perform valid recruitment of employees . Applications that have been made can be used as a tool for decision makers while remaining based on a decision support system that is more effective in selecting employee admissions using the SAW ( Simple Additive Weighting ) method .