Claim Missing Document
Check
Articles

Found 7 Documents
Search
Journal : Politeknosain

Analisa Implementasi Technology Mobile Berbasis Bluetooth Android Untuk Smart Home Taman Ginting; Didik Purwadi
Politeknosains Vol 19 No Edisi Khusus (2020): Jurnal Politeknosains Volume 19 Edisi Khusus - Juli 2020
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.622 KB)

Abstract

Bluetooth Android has emerged as a viable choice of technology control for smart home for Light switch control uses an Android Smartphone communication media using Bluetooth. This system control can be used to support human needs in controlling its electronic equipment. This tool uses microcontroller technology, Android smartphones and Bluetooth. Bluetooth was initially developed as a cable replacement technology but properties such as low cost and high availability has led to the development of several control systems relying on Bluetooth signals. The characteristics of the Bluetooth device’s RSSI (Received Signal Strength Indication) value were analyzed in preliminary experiments. The best results of testing of algorithms to generate distance 1m greatest accuracy. From . Bluetooth and Smartphone can be seen that the maximum distance of Bluetooth can be connected without obstacles is 14 meters. The wall barrier has a thickness of 15 cm with a maximum distance of 10 meters. The data shows the level of barrier density affects the connection distance.From the results of the study note the effect on measurements include fingerprint grid size, algorithm and the amount of data from the location of the fingerprint data measurement area. From the results of the study with 10 m2 got 10.6 m results and 20 m2 with the results of 20.04 from the results of measurements and tests, it is known that the results of better light control in the range of 10 m2 or closer to the object / lamp.
Aplikasi Bursa Kerja Khusus Berbasis Delphi 7 Menggunakan Barcode (Studi Kasus di SMK Negeri 2 Karanganyar) Muklis; Cicilia Puji Rahayu; Taman Ginting
Politeknosains Vol 18 No 1 (2019): Jurnal Politeknosains Volume 18 Nomor 1 - Maret 2019
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.289 KB)

Abstract

The phases of making a special job market application for SMK Negeri 2 Karanganyar based on Delphi 7 with barcode began with designing and creating a database using Microsoft Access 2007. The database created is a student database, login database, database card, databease registration, database selection, company database, database permission search and database. Next to design and make the program using Delphi 7. In this application program there is a login form, main form, registration form, selection form, search form, company form, student database form, user form manager and permission form. The next stage is designing the registration report, selection report, permit report, registration card report and the last trial and implementation program. This program is implemented in the special job market of SMK Negeri 2 Karanganyar and according to the results of respondents' assessment that this program is very helpful for special job market officials to be more efficient in data collection and processing, and to help smooth officers in the input and management of registrant data.
Klasifikasi K-NN dan Naive Bayes Terhadap Pelacakan Ujung Jari Berbasis Camera Smartphone Sudarno; Agus Kristianto; Taman Ginting
Politeknosains Vol 16 No 1 (2017): Jurnal Politeknosains Volume 16 Nomor 1 - Maret 2017
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.36 KB)

Abstract

Research vision and computer graphics, motion tracking fingertips of video image sequences automatically has been a very interesting study to be developed. Good tracking method should be able to find back the ends of the finger after the obstacle no longer exists and is also able to predict the fingertips are hindered by the position information of the fingertips that are not obstructed. In practice, there are two ways to track the movement of an object. The first approach is called the approach-by-detection tracking. In this approach, to track an object the object detection performed on each frame of moving pictures or videos are observed, in order to determine the position of the object in each frame. The second approach is referred to as a detection approach-by-tracking. From the results of tracking the movement of a hand camera-based smartphone will use a method of classification algorithm k-Nearest Neighborhood (k-NN) and Naive Bayes (NB). From the research results will be known influence on the movement of fingertips, and penagkapan fingertips as well as the classification method to obtain the arrest of the movement of a fingertip accuracy, algorithms and data from a tracking number will be tested for accuracy. The best results of testing of the algorithms will be the result and purpose of this research.
Positioning dengan Teknologi Bluetooth Mengunakan Naïve Bayes Algoritma Yusuf Eko Rohmadi; Taman Ginting; Didik Warasto
Politeknosains Vol 15 No 1 (2016): Jurnal Politeknosains Volume 15 Nomor 1 - Maret 2016
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (539.52 KB)

Abstract

Bluetooth has emerged as a viable choice of technology in indoor positioning systems due to the increase in the number of Bluetooth-enabled devices over the last decade. Bluetooth was initially developed as a cable replacement technology but properties such as low cost and high availability has led to the development of several indoor positioning systems relying on Bluetooth signals. The characteristics of the Bluetooth device’s RSSI (Received Signal Strength Indication) value were analyzed in preliminary experiments. According to the results of these experiments, the proposed method combines processing using RSSI value threshold and handling of instantaneous variation of RSSI value. Fingerprint data retrieval is done with each grid size 1m x 1m and 2m x 2m. RSSI measurements performed at room Politeknik Pratama Mulia Surakarta. Determination of the estimated location of the object is determined using Naïve Bayes algorithm From the research known influence on the measurements include a fingerprint grid sizes, algorithms and extensive amount of data from the fingerprint data measurement locations. The best results of testing of algorithms to generate distance 1m greatest accuracy. From the results with 1 meter got the result of 1.6 meters and 2 meters with 2:04 to scenario 2 results will be the first got the result 1.85m m2 and 2 m2 with the results of 2.06 The test results of unknown size on the grid one meter better than 2-meter grid.
Sistem Informasi Pelayanan Masyarakat Kelurahan Pasar Kliwon – Surakarta dengan PHP dan MySQL Ginting, Taman; Graha Nur Pradoni, Lingga; Warasto, Didik; Jalil, Abdul
Politeknosains Vol 22 No 1 (2023): Jurnal Politeknosains Volume 22 Nomor 1 - Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pasar Kliwon Village is a village located in Surakarta city, Pasar Kliwon village is bordered from the north by Kedung Lumbu Village, to the south by Joyosuran Village, to the west by Gajahan Village and Pasar Kliwon Village, to the east by Semanggi Village and Mojo Village. This village is located at Mijil Street No. 6 Gurawan Pasar Kliwon , Pasar Kliwon District, Surakarta City. D3 Pratama Mulia Surakarta Polytechnic Program, Informatics Management. The purpose of this final project is to create a website for Information on Types and Requirements for Community Service in Pasar Kliwon Village. The website that was created aims to make it easier for people to not go back and forth when looking for population administration and accelerate the performance of admins in helping the information processing process quickly, precisely and accurately. This website system is made with PHP program and MySQL database. It can be concluded that this system is ready to be developed.
Peningkatan Akurasi Penempatan Sistem IoT Berdasarkan Kekuatan Sinyal yang Diterima Mengunakan Algoritma Naïve Bayes dan k-Nearest Neighbor Ginting, Taman; Purwadi, Didik; Joko Nugroho, Kurniawan; Sudarno, Sudarno
Politeknosains Vol 23 No 2 (2024): Jurnal Politeknosains Volume 23 Nomor 2 - September 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kemampuan mengakses internet perangkat internet of things (IoT) yang digunakan merupakan elemen penting, untuk beberapa aplikasi. Selain itu, kekuatan sinyal yang diterima (rssi) berdasarkan titik penempatan perangkat IoT yang terletak di dalam ruangan sangat lah menentukan keberhasilan dalam megendalikan dan mengontrolnya. Tingkat kesalahan diamati dengan penentuan posisi berdasarkan informasi rssi dari posisi perangkat saat ini apakah dapat mendeteksi, apakah perangkat yang mentransfer data dari letak atau lokasi yang ditentukan di dalam ruangan menggunakan rssi atau kekutan sinyal yang diterima oleh objek. Berdasarkan hasil penelitian terdapat hasi seperti berikut Dari fase on-line rata-rata kesalahan jarak estimasi dan standar deviasi mengunakan algoritma k-NN pada sebesar 8.24 m dengans tandar deviasi 10.07 m lebih besar dibandingan dengan algoritma Naïve bayes dari fase on-line rata-rata kesalahan jarak estimasi 6.10 m dan standar deviasi 8.83 m jarak lokasi target karenya prediksi dari hasil pengujian pada algoritma Naïve bayes lebih baik dibanding mengunakan algoritma k-NN.
Sistem Otomasi Roof Berbasis Arduino Uno Menggunakan LDR Sensor Dan Hujan Sensor Ginting, Taman; Purwadi, Didik; Sudarno, Sudarno
Politeknosains Vol 24 No 1 (2025): Jurnal Politeknosains Volume 24 Nomor 1 - Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebuah prototipe atap jemuran cerdas berbasis Arduino dilengkapi dengan sensor hujan, sensor cahaya, dan servo motor guna otomatisasi respons terhadap perubahan cuaca. Sistem ini dirancang untuk menutup atap jemuran secara otomatis saat terdeteksi adanya hujan, sehingga dapat melindungi pakaian atau barang- barang yang digantung dari resiko kerusakan akibat terkena air hujan. Di samping itu, sensor cahaya berperan menyesuaikan posisi atap jemuran sesuai dengan tingkat intensitas cahaya di sekitar, sehingga dapat membuka lebar saat kondisi cerah untuk memaksimalkan proses pengeringan pakaian pada saat pencahayaan matahari memadai. Penerapan mikrokontroller Arduino memberikan fleksibilitas dalam hal pemrograman algoritma cerdas pada sistem, sedangkan motor servo bertugas menggerakkan atap jemuran secara presisi sesuai dengan masukan perintah yang dikirimkan oleh Arduino. Hasil pengujian prototipe menunjukkan kemampuannya dalam merespons perubahan kondisi lingkungan dan cuaca secara akurat, di mana sensor hujan akan memicu penutupan atap begitu terdeteksi adanya tetesan air atau hujan, sementara sensor cahaya akan mengatur tingkat bukaan atap untuk mengoptimalkan penjemuran ketika cahaya matahari cukup terik. Dengan solusi cerdas ini, efisiensi dan efektivitas pemanfaatan atap jemuran dapat ditingkatkan serta perlindungan pakaian dari paparan hujan dapat dijaga secara optimal.