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Klasifikasi Gerakan Jatuh Berbasis Accelerometer dan Gyroscope Menggunakan K-Nearest Neighbors Adlian Jefiza; Indra Daulay; Jhon Hericson Purba
Journal of Applied Electrical Engineering Vol 4 No 2 (2020): JAEE, December 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v4i2.1300

Abstract

Permasalahan utama pada penelitian ini merujuk kepada semakin menurunnya daya tahan tubuh lanjut usia (lansia). Hal ini membutuhkan sistem monitoring aktivitas lansia secara real time. Untuk mendeteksi kegiatan para lansia, dirancang sebuah perangkat monitoring dengan accelerometer 3-sumbu dan gyroscope 3-sumbu. Data sensor diperoleh dari lima partisipan. Setiap partisipan melakukan lima gerakan yaitu terjatuh, duduk, tidur, rukuk dan sujud. Gerakan yang dipilih adalah gerakan yang menyerupai gerakan jatuh. Total data yang diperoleh dari partisipan adalah 75 data yang terbagi menjadi training data dan testing data. Penelitian ini menggunakan metode transformasi Wavelet untuk mengenali fitur dari gerakan. Untuk pengklasifikasian setiap gerakan, digunakan metode K-nearest neighbors (KNN). Hasil klasifikasi gerakan menggunakan lima kelas menghasilkan nilai root mean square sebesar 0.0074 dengan akurasi 100%.
Pemberian Mini House (Destilator) Air laut kepada masyarakat Pantai Setokok, Batam, Guna membantu dalam penyediaan stok air bersih (Air Tawar), dan mendukung Parawisata Muhammad Zainuddin Lubis; Yeni Rokhayati; Supardianto Supardianto; Danar Irianto; Wenang Anurogo; Budiana Budiana; Siti Noor Chayati; Widya Rika Puspita; Swono Sibagariang; Jhon Hericson Purba; Dodi Prima Resda; Rahman Hakim; Muhammad Ghazali
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 2 No 2 (2020): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimas.v2i2.2601

Abstract

Water destilator merupakan alat yang digunakan untuk menyuling air laut menjadi air tawar. Konsepnya sederhana dan serupa dengan siklus hidrologi, yaitu dengan menguapkan air laut dengan cara dipanaskan, yang kemudian uap air tersebut diembunkan dan dikumpulkan ke dalam suatu wadah penampung sehingga didapatkan air tawar. Sumber panas yang dipergunakan berasal dari energi yang beragam: minyak, gas, listrik, tenaga matahari dan lainnya, namun dikarenakan menerapkan konsep ramah lingkungan alat ini hanya mengandalkan cahaya matahari sebagai energinya. Alat destilator ini adalah alternatif sederhana yang ekonomis dan dapat digunakan dalam skala rumah tangga serta ramah lingkungan. Alat ini merupakan pengganti sistem destilasi pabrik dengan harga yang relatif mahal dan masih sulit dijangkau oleh penduduk Indonesia. Jenis teknologi tersebut cukup sulit karena teknologinya rumit dan membutuhkan investasi dan estimasi dana yang tinggi dalam skala rumah tangga. Destilasi dapat terjadi dengan memanfaatkan potensi alam yaitu sinar matahari menggantikan bahan bakar minyak dan gas alam untuk mengubah fase uap air laut. Karena suhu yang diperlukan untuk mengubah fase air laut menjadi uap tidak terlalu besar (dibawah 100oC) atau di bawah satu tekanan atmosfir (1 atm), maka pemanfaatan energi matahari adalah solusi alternatif yang dipilih sesuai dengan kondisi Indonesia yang terletak pada daerah katulistiwa dan beriklim tropis mempunyai jumlah sinar matahari yang cukup.
Pembuatan Video Penyuluhan Berita Palsu Terkait COVID-19 bagi Masyarakat Kota Batam Satriya Bayu Aji; Condra Antoni; Yosi Handayani; Nur Rahmah Andayani; Slamet Soebagiyo; Arta Uly Siahaan; Tian Havwini; Jhon Hericson Purba; Abdurahman Musa
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 3 No 1 (2021): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimas polibatam.v3i1.2631

Abstract

The terror of the deadly COVID-19 pandemic that is happening right now becomes more and more intimidating with the rapid circulation of information in massive quantities about this outbreak. Of the various news coming out every day, some are valuable, others might be less useful. However, some of them may cause more harm than good. The problem is how to sort the incoming information and determine whether it is reliable. In this community service project, a public service announcement will be produced with the intention of informing the public about some rumors and misconceptions that have been spreading in society. It is hoped that the announcement will unravel the truth and clear any confusion that is happening. The content of the announcement is based on the Myth Busters page on the official WHO website. It will then be broadcasted by Batam TV. To find out how the viewers perceive the public service announcement, an online survey is conducted, which can be accessed by the viewers by scanning the QR code displayed at the end of the announcement. The results of the survey show that most viewers consider the announcement easy to understand, useful, up to date, and motivating, in addition to having a good mix of attractive colors and clear sound. However, public service announcements on local television channels are no longer the main source of information for citizens of Batam, especially in the context of COVID-19.
Pembuatan Plang Denah Lokasi, Petunjuk, dan POI sebagai Icon Promosi Desa Wisata Pulau Mubut Darat Jhon Hericson Purba; Adlian Jefiza; Satria Bayu Aji; Muhammad Zainuddin Lubis; Wenang Anurogo; Tian Havwini; Nurul Fadilah
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 4 No 1 (2022): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimas polibatam.v4i1.3593

Abstract

Abstract—The natural charm of the small islands in Kepulauan Riau can definitely spoil visitors’ eyes and attract their attention to visit these islands. Pulau Mubut Darat, which is located in Sembulang, Batam, Riau Islands, has become one of several choices of beach tourism areas. However, in the management of tourist sites, the community and managers in particular have not been able to implement ideas and supporting facilities to satisfy the tourists who come to visit so the tourist area of ​​the island of Mubut Darat began to lose competitiveness with other areas. The observation results of the Politeknik Negeri Batam community service team found several ideas that could help improve promotion and tourist attraction on Mubut Darat. One of them is by making a location plan or POI information sign in the Mubut Darat area. The method of making this sign begins with taking pictures of the entire Mubut Darat island. Then, the location points of each building and the facilities available in each area will be mapped and labeled. With the information signpost of the location plan or POI, tourists will get complete information about Mubut Darat. The location plan or POI information sign is expected to be part of the tourist photo icon on Mubut Darat which can promote and attract of tourists to come.
Aplikasi Penerapan Jaringan Syaraf Tiruan untuk Memprediksi Tingkat Pengangguran di Kota Batam dengan Menggunakan Algoritma Pembelajaran Backpropagation Dodi Prima Resda; Jhon Hericson Purba; Miranda Miranda; Arista Sitanggang; Maidel Fani; Andy Triwinarko
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.6351

Abstract

The imbalance between labor supply and demand often leads to unemployment in a given region. The unemployment rate serves as a key indicator to assess the overall health of the economy. Utilizing Artificial Neural Networks (ANN) as a predictive tool has emerged as a reliable solution to forecast unemployment rates in Batam City, using 7 input parameters. The methodology employed in this predictive model is the Backpropagation algorithm. This involves dividing the dataset into two distinct components: training data, consisting of 4 parts, and the remaining data set aside for testing purposes. This division results in a substantial allocation of 95% for training data and a significant 79% for testing data. The accuracy achieved by this model forms the basis to evaluate its potential success in forecasting unemployment rates for the upcoming year. By harnessing the capabilities of Artificial Neural Networks and employing the Backpropagation methodology, it is possible to predict unemployment rates in Batam City. The outcomes of this analytical approach can serve as a reference to address labor imbalance issues, while also providing a pragmatic tool to enhance economic planning and policy formulation for a more sustainable future.