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All Journal Jurnal Komputer Terapan JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA
Ardianto Wibowo
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Humanities Computer Science & IT Education Engineering Environmental Science Social Sciences

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Rancang Bangun Kontrol Temperatur dan Cahaya Ruangan Menggunakan Raspberry PI Hary Firdian; Ardianto Wibowo; Rika Perdana Sari
Jurnal Komputer Terapan  Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.552 KB)

Abstract

The human body will always try to maintain a normal state with a perfect body system so that it can adjust to changes that occur outside the body. But the ability to adjust itself to the outside temperature is if the change in outside body temperature does not exceed 20% for heat conditions and 35% for cold conditions from the normal state of the body (Tjitro, 2004). The temperature that is considered normal for Indonesians is between 240 C to 260 C. Because heat is easier to affect body temperature, humans often look for cooler places. To overcome this problem an application is needed to facilitate controlling the temperature in the room. In this project the application with the help of Raspberry Pi and sensors to keep the room temperature stable.
Analisa Kepribadian Pengguna Facebook Menggunakan Algoritma Support Vector Machine belladina fahmi; Ardianto Wibowo; Dewi Hajar
Jurnal Komputer Terapan  Vol. 5 No. 1 (2019): Jurnal Komputer Terapan Mei 2019
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.931 KB) | DOI: 10.35143/jkt.v5i1.2259

Abstract

Perkembangan teknologi yang begitu pesat membuat banyaknya muncul media sosial yang salah satunya adalah Facebook. Dengan adanya Facebook, pengguna dapat saling bertukar informasi dan berinteraksi tanpa harus bertemu. Pada Facebook, pengguna dapat mengunggah status tanpa adanya batasan unggahan. Dari status Facebook pengguna dapat diketahui kepribadian seperti apa yang dimiliki oleh pengguna. Akan tetapi menganalisa kepribadian secara manual kebenarannya tidak bisa diketahui. Untuk menangani hal ini dibuatlah sebuah sistem yang dapat menganalisa kepribadian pengguna Facebook berdasarkan status yang pernah diunggahnya. Dari status Facebook pengguna dapat diambil informasi dengan menggunakan Facebook API dan mengolahnya menggunakan text mining. Setelah diolah status tersebut di kelompokkan menggunakan algoritma Support Vector Machine. Algoritma ini termasuk kedalam supervised learning dan merupakan metode klasifikasi yang menggunakan fungsi linear untuk mendapakan hasil yang terbaik.Hasil keluaran dari sistem ini berupa kepribadian Ekstrovert dan Introvert berdasarkan status yang pernah dibuat sebelumnya untuk menjadi tolak ukur oleh pengguna Facebook tersebut. Dari 158 data status Facebook didapatkan hasil pengujian sebesar 83,3% dari hasil perbandingan antara pengeluaran sistem yang dibuat dengan sistem yang telah ada. Pada pengujian black box didapatkan hasil 100% sistem dapat berjalan sesuai fungsinya. Sistem ini telah diuji kebergunaannya berdasarkan hasil kuesioner pada 50 orang pengguna Facebook sebesar 90,45%.
Pengembangan Sistem Business Intelligence untuk Analisa Pola Tindak Pidana di Pengadilan Negeri Pekanbaru dea pricillia mulyani; ardianto wibowo; Dini Hidayatul Qudsi
Jurnal Komputer Terapan  Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.891 KB)

Abstract

The District Court is an agency that handles criminal offenses in Pekanbaru. Based on the results of an interview with the Registrar's Office of Law, it is known that the Pekanbaru District Court reported and analyzed cases regarding the criminal acts of the Police and Prosecuting Office, where it was required to report criminal acts. Therefore, a website-based Business Intelligence (BI) system is built to process criminal data that is visualized into dashboards to support the Legal Registrar in obtaining criminal patterns that occur in Pekanbaru, and allows evaluating the internal performance of the Pekanbaru District Court, using the CI framework and use the PHP programming language. Based on UAT testing the function on the system has been successfully built and running well, usability testing results with a questionnaire to the Registrar's Office of Law, showing that the system is 94% easy to use, 91% studied, 95% useful, and 88% satisfying. And system efficiency found that the measurement of performance levels on web pages based on certain aspects get a percentage of 67% and the time needed to load a web page is a percentage of 70%.
Sistem Terintegrasi untuk Mendeteksi Perubahan Lingkungan dengan Algoritma Frame Difference dan Dynamic - Adaptive Template Matching menggunakan Raspberry Pi dan Virtual Private Network (VPN) Ardianto Wibowo; Muhammad Ihsan Zul; M Arif Fadly Ridha; M Mahrus Zain
Jurnal Komputer Terapan  Vol. 6 No. 2 (2020): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.018 KB) | DOI: 10.35143/jkt.v6i2.3598

Abstract

Theft of empty houses and rampant illegal parking is a problem that often occurs in the community, causing anxiety. For this reason, a solution that can provide alarms / notifications automatically if such conditions occur to registered users is needed. This research develops an integrated system that has the ability to detect changes in environmental conditions, such as the occurrence of illegal parking or the presence of strangers in the house, through monitoring of connected IP cameras. The image captured through an IP camera is processed using the Frame Difference algorithm, to further be decided whether it includes an environmental condition changes or not. Compared to conventional IP cameras or IP cameras that include motion detection features, this research system has advantages in terms of notification form flexibility and internet connection flexibility.
PENGUATAN METODE PENGAJARAN KEPADA GURU-GURU SMA/SMK SEDERAJAT SE-KOTA PEKANBARU DALAM RANGKA MITIGASI BENCANA PANDEMI COVID-19 Sugeng Purwantoro; Memen Akbar; Ardianto Wibowo
JUARA: Jurnal Wahana Abdimas Sejahtera Volume 2, Nomor 2, Juli 2021
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2003.678 KB) | DOI: 10.25105/juara.v2i2.9818

Abstract

Natural disasters or Force Majeur always have a tremendous impact on the education process, especially in carrying out the teaching and learning process in schools. The Covid-19 pandemic is one of the disaster factors in Riau Province which also has a tremendous impact on Indonesian education, especially in achieving learning and teaching targets. The Community Service Program was conducted on 8–9 July 2020 providing strengthening and encouraging training to 150-250 high school/vocational high school teachers from Riau Province and some from outside Riau Province. Training was provided on teaching methods and knowledge to anticipate delays in the teaching and learning process during the Covid-19 pandemic, namely providing online learning technology solutions using Google Classroom and Google Meet tools. The enthusiasm of the teachers is very good with the feedback, namely 90.7% of teachers use Google Classroom and 81.4% of teachers use Google Meet as a means of Video Conference to students.
Co-Authors belladina fahmi dea pricillia mulyani Dewi Hajar Dini Hidayatul Qudsi Hary Firdian M Arif Fadly Ridha M Mahrus Zain memen akbar Muhammad Ihsan Zul Rika Perdana Sari, Rika Perdana Satria Perdana Arifin Sugeng Purwantoro