The teaching and learning process on campus is always supervised by paying attention to attendance. Some campuses use this attendance as a condition for taking the exam. However, the attendance system is still manual, which is by using a signature on the attendance sheet. This system has several weaknesses which include the occurrence of fraudulent attendance, difficulty in monitoring attendance, and data that cannot be presented quickly. The study proposes an attendance system using fingerprints connected to wireless networks that are already available on campus. Wireless networks are used as a medium of communication between attendance tools and database servers. The use of wireless networks aims to facilitate equipment used in classrooms during the lecture process. Attendance tool designed on a single Raspberry Pi computer board that is equipped with fingerprint sensors, power banks and LCD screens. While wireless LAN devices are integrated in the Raspberry Pi boar. The attendance system begins with an enroll process to save the lecturer and student fingerprint templates. Each template is given an ID to be stored on the database server using TCP wireless and protocol networks. The enroll process observations require an average time of 4 seconds which consists of: transmission time and time identification of fingerprint characteristics to the creation of fingerprint templates. The attendance process in lecture activities begins with the absence of lecturers and is followed by students. The average time needed to do attendance is 4 seconds. During the data attendance process can transmit between the attendance device (client) and server. Through a fingerprint-based attendance device based on the available wireless network infrastructure in the campus, it can improve the efficiency of attendance monitoring in real time.

Otentikasi keluar masuk kendaraan pada tempat parkir merupakan salah satu permasalahan yang masih perlu dieksplorasi. Sebagian besar tempat parkir menggunakan otentifikasi mencatat nomor kendaraan pada kartu parkir. Petugas memverifikasi nomor kendaraan yang tertera dikartu parkir dengan nomor kendaraan yang tertera pada Surat Tanda Nomor Kendaraan (STNK). Metode otentifikasi tersebut membutuhkan ketelitian dari petugas parkir. Penelitian yang dilakukan memanfaatkan identifikasi sidik jari pengemudi kendaraan dan pengenalan plat nomor kendaraan melalui foto oleh petugas parkir sebagai otentikasi. Perekaman sidik jari dan foto kendaraan dilakukan pada saat kendaraan masuk. Identifikasi ini digunakan pada saat kendaraan akan keluar. Sistem dibangun dari beberapa perangkat, yaitu sensor ultrasonic untuk mendeteksi keberadaan kendaraan. Sensor fingerprint untuk mendeteksi sidik jari yang dilengkapi dengan storage untuk menyimpan template sidik jari. Webcam untuk pengambilan foto kendaraan sebagai verifikasi pada saat kendaraan keluar tempat parkir. Sedangkan pintu portal digerakan oleh motor servo. Semua sistem dikendalikan menggunakan Raspberry Pi 3 menggunakan bahasa pemprogram python. Hasil pengujian pada sensor ultrasonic mampu mendeteksi keberadaan kendaraan pada jarak 10-200 cm dengan tingkat keakurasian 96%. Motor servo berputar posisi 0° jika nilai DutyCycle diatur 2,5  dan berputar 90° jika nilai DutyCycle 7,5. Posisi webcam berada 2 meter dari letak sensor fingerprint. Posisi jari yang ditekan menghasil proses yang lebih cepat dalam mengidentifiaksi karakter sidik jari pada saat perekaman dan pencocokan sidik jari.

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One of the common problems experienced by animal farmers is heat stress or cold stress caused by changes in the environment. This resulted in a decrease in the productivity of livestock, cattle. Early monitoring needs to be done to avoid problems through monitoring tools for temperature, heart rate, and internet-based location of things (IoT). The monitor receives the value through the paired sensor and is sent to the web server. Users or breeders get information about the condition of farm animals and observe changes in value through graphs through the android application. The system built is able to receive values in a short interval time (10 seconds) so that the value obtained is the most recent value. Based on observations on the graph, the user can identify drastic changes, both decreases or increases, in the temperature and heart rate of the animal's condition and take precautions as early as possible.

The student Activity Credit Unit is a credit value obtained by students after participating in curricular and extracurricular student activities. The credit score is a specific value unit in the form of numbers given to each student who carries out actions. Credit score provisions have been set. Each activity must be accompanied by proof of participation/certificate/other evidence that will be used as the basis for assessing creditworthiness. If the calculation of the loan amount is done manually, errors can occur because the work done by humans is relatively error prone. Therefore, we need an application that provides a solution to minimize the occurrence of computational errors. This research was conducted to create a credit unit information system for student activities using the PHP programming language with the Laravel framework and MySQL as the database. This system makes it easier for students to input data on student activities. The result of this research is a web-based credit information system for student activities that can be implemented at the State Polytechnic of Banyuwangi as a tool for calculating credits for all student activities.