Electrical energy is an important component in an industry, that is needed by electrical equipment / machines that exist in the industry. Currently, the majority of electrical energy is produced from fossils, almost 85% of all energy comes from fossil fuels. Therefore, efficiency application of electricity loads in industries need to be logged and analyzed. To make electricity load efficiency possible, it can be done by monitoring and logging real-time electricity loads in the industry. So that, the electrical power consumed can be analyzed. In this paper, a 3-phase electricity monitoring system is builder for Low Voltage Power Distribution (LVDP) that can be monitored anytime and anywhere via internet for the needs of electricity quality analysis. Monitoring parameters are voltage, current, real power, apparent power, power factor, IHD voltage and current, and voltage and current THD for each phase. The system uses sensor ZMPT101B to get voltage value each phase and Current Transormator (CT) to get current value each phase. Then, that sensor value calculates with Arduino and raspberry pi. Arduino to calculate real power, apparent power, and power factor. Raspberry pi to calculate IHD voltage, current and THD voltage and current. That variables send to database and display on the web. Error reading of voltage sensor is found on average error 0.00254% compared to multimeter. For current sensor, the average error is 0.0074%. On the user interface, all functions are running well including the addition of devices, as well as monitoring parameters of each phase, so that, it can be utilized for the needs of electrical analysis, which means the power consumed and the malconsumed can be known.

Algorithms developed to identify people with iris image data have been tested in many field and laboratory experiment. This paper analysis some a parameters of iris image used to recognize human. Iris recognition system, which is applied based on segmentation, normalization, encoding, and matching is also describe in this paper. Circle Hough Transform segmentation module used to find the inner and outer boundaries of the iris. The experiment was carried out using CASIA v1 iris database with grayscale images. Shape, intensity, and location information for localizing the pupil or iris and normalizing the iris area a used iris segmentation by unwrapping circular area into a rectangular area. Normalized area will be used to extract the features using Gray Level Co-occurrence Matrix (GLCM) and Gabor filter, the feature compared the recognition accuracy using Support Vector Machines (SVM) and Naive Bayes classifiers. GLCM feature test results achieved 95.24% SVM classification accuracy, whereas using achieved 85.71% Naive Bayes. Gabor feature test results achieved 95.24% SVM classification accuracy, whereas using achieved 95.23% Naive Bayes. The classification process based on GLCM and Gabor features show that the SVM method have to highest recognition accuracy compare to Naive Bayes classifier.

Pengolahan data alumni di Politeknik Negeri Malang masih belum ada, sehingga bagi para alumni yang telah lulus masa studinya akan lepas dari kampus. Tetapi seharusnya para mahsiswa yang telah lulus harusnys bisa saling berkomunikasi baik pada sesama alumni maupun pada pihak kampus. Oleh karena itu, perlu di buat sebuah web yang bisa di akses di manapun dan kapanpun, agar para alumni yang telah lulus dapat saling mengetahui keadaan , dan berita kampus. Maka di buatlah web ini yang menggunakan bahasa PHP, MySQL, HTML, CSS, JavaScript,  dan Boostrap. Sistem ini juga telah diuji coba oleh beberapa user dan hasilnya, setiap user dapat mengolah data inventaris dengan mudah dan cepat.

Perkembangan  teknologi informasi  membuat  banyak  perusahaan  di  bidang  administrasi  perhotelan mulai  mengembangkan  sistem  yang  menggunakan  teknologi  informasi.  Salah  satu  cara  adalah  dengan menggunakan aplikasi berbasis web. Pemesanan sistem informasi berbasis web dikembangkan di Hotel UMM INN.  Sistem  ini  mengelola  data  pemesanan  check-in  dan  check-out  proses.  Sistem  informasi  reservasi dikembangkan  oleh  model  air  terjun,  dan  dibangun  dengan  PHP  dan  PhpMyAdmin  sebagai  alat  untuk membantu  mengelola  database  MySQL  dan  editor  teks  Dreamweaver  Sistem  informasi  reservasi  dapat memberikan  kemudahan  kepada  resepsionis  hotel  dan  pelanggan  dalam  membuat  reservasi.  Selain  itu, pengunjung juga dapat memperoleh semua informasi dan berita tentang fasilitas yang ada di Hotel UMM INN. Hotel  ini  menawarkan  berbagai  fasilitas  untuk  memastikan  konsumen  menghabiskan  waktu dengan  spesial.  Manfaatkan  wi-fi  di  tempat-tempat  umum,  lift,  transfer  bandara/hotel,  restoran  yang disediakan hotel. Televisi, pembuat kopi/teh, ruangan bebas rokok, fasilitas menyetrika, ruang duduk dapat ditemukan  di  setiap  kamar.  Untuk  meningkatkan  jumlah  bermalam  para  tamu,  hotel  ini  menawarkan fasilitas  rekreasi  seperti  taman.  Suasana  yang  ramah  dan  pelayanan  yang  terbaik  adalah  apa  yang  dapat konsumen harapkan selama tinggal di UMM Inn.

Corporate Social Responsibility (CSR) is a community development program managed by PT. Otsuka Indonesia, one of which is form a hydroponic farmer community. In the activity of fostering hydroponic farmers there are several problems, namely the process of plant nursery, seeding, and harvesting are still carried out conventionally, while the assisted farmers do not have much time to supervise because they have a core job. Based on these problems, this study will focus on solving the problem of hydroponic plant supervision that can be known directly by farmers and also from the CSR of PT. Otsuka Indonesia. In completing the research, the steps carried out were based on the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology. The factors used in solving the problem are the type of hydroponic plants, the acidity of the soil, the intensity of sunlight, the ambient temperature of the hydroponic plants, the water level and periodic reporting as needed in the form of a Smart Ecosystem. For this reason, it is necessary to build a device from an Arduino microcontroller based on IoT so that supervision of the hydroponic planting process can be done without having to be in hydroponic land and get reports every period of the development of hydroponic plants in the application. By using this device, it is hoped that many hydroponic farmers will use it so that during the hydroponic vegetable production process it can be in accordance with the old standards of the nursery until it is worth selling.