cover
Contact Name
ibnu surya
Contact Email
ibnu@pcr.ac.id
Phone
+6285272673321
Journal Mail Official
jurnalkomputerterapan@pcr.ac.id
Editorial Address
Jurnal Komputer Terapan (JKT) Badan Penelitian dan Pengabdian kepada Masyarakat (BP2M) Politeknik Caltex Riau Jl. UmbanSari No. 1 Rumbai - Pekanbaru 28265
Location
Kota pekanbaru,
Riau
INDONESIA
Jurnal Komputer Terapan
Published by Politeknik Caltex Riau
ISSN : 24434159     EISSN : 24605255     DOI : https://doi.org/10.35143/jkt
Core Subject : Science,
Applied Computer Journal Articles from various fields in Informatics, Information Systems and Computer science. Topics included, 1. Informatics 1.1 Software Engineering 1.2 Multimedia 2. Information Systems 2.1 Soft Computing 2.2 Business Analyst 2.3 Data Engineering 3. Computer science 3.1 Operating System 3.2 Computer Network
Articles 5 Documents
Search results for , issue "Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018" : 5 Documents clear
Perancangan dan Implementasi Pengatur Suhu Air Mandi Otomatis Berbasis Android: Android, Raspberry Pi, Air, Suhu Junia Indah Yani; Ibnu Surya; Memen Akbar
Jurnal Komputer Terapan  Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018
Publisher : Politeknik Caltex Riau

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Abstract

Pengaturan suhu pada wadah penampungan air mandi saat ini masih dilakukan secara manual dimana pengguna hanya bisa melakukannya saat berada di rumah. Hal ini membuat proses pemanasan air tidak dapat dilakukan dari jarak jauh ketika pengguna sedang tidak berada di rumah. Maka dengan permasalahan tersebut dirancanglah sebuah alat pengatur suhu air mandi dengan menggunakan smartphone berbasis android. Ketika Raspberry Pi menerima masukkan suhu dari pengguna, pemanas air akan bekerja sesuai suhu yang diinginkan pengguna dan akan berhenti bekerja ketika suhu yang diinginkan telah tercapai, kemudian aktif kembali ketika suhu air telah mencapai titik terendah yang dibatasi oleh program. Pengujian dilakukan beberapa kali untuk setiap jenis pengujiannya. Tingkat akurasi sensor DS18B20 adalah sebesar 98,86%. Tingkat akurasi relay adalah sebesar 96,67%. Tingkat akurasi input suhu dari aplikasi android dengan sensor DS18B20 dan termometer adalah 99,90% dan 97,41%. Berdasarkan hasil yang diperoleh dari berbagai jenis pengujian, keberhasilan rata-rata dalam mengatur suhu air mandi dari jarak jauh yaitu 95,19%.
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

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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.
Implementasi Multi Server Data Storage Pada Cloud Computing Jasnica Huang; Yuli Fitrisia; Muhammad Arif Fadhly Ridha
Jurnal Komputer Terapan  Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018
Publisher : Politeknik Caltex Riau

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Abstract

Kebutuhan akan informasi yang selalu up-to-date dan bisa diakses dimana saja dan kapan saja semakin meningkat. Hal ini menyebabkan perlu adanya layanan cloud berupa data storage yang high availability. Dengan adanya high availability, dapat membantu mengurangi terjadinya kegagalan server. Salah satu cara untuk meningkatkan kualitas layanan tersebut, yaitu mengimplementasikan multi server data storage. Implementasi yang dilakukan menerapkan beberapa teknik seperti data replication, load balancing dan failover. Data replication menggunakan GlusterFS, load balancing menggunakan HAProxy dan failover menggunakan Heartbeat. Dari hasil penelitian ini didapatkan bahwa rata – rata data berhasil di unggah 84.5 % dan di unduh kembali 100% dari data storage. Hasil keberhasilan metode failover didapatkan rata – rata keberhasilan 66.67% dalam melakukan peralihan meskipun salah satu server mengalami kegagalan, lalu penyebaran request dibagi secara merata 50:50 oleh load balancing. Sementara itu, performansi server menunjukkan bahwa delay pada layanan dikategorikan dalam “Sangat Bagus” dan throughput dikategorikan dalam “Bagus”. Kata kunci: data storage, high availability, data replication, load balancing, failover.
Segmentasi Tingkat Pemakaian Material dengan Data Mining Clustering Nurul Azwanti
Jurnal Komputer Terapan  Vol. 4 No. 2 (2018): Jurnal Komputer Terapan November 2018
Publisher : Politeknik Caltex Riau

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Abstract

Technology that plays an active role in human activities is communication technology that we can find on mobile devices or computers that have internet access. PT. Telkom Akses Kantor Telkom Marina is a subsidiary of PT Telekomunikasi Indonesia Tbk (Persero) commonly called Telkom Indonesia or Telkom which is the largest information and communication company and telecommunications service and network provider in Indonesia. Located in the Riau Islands region, precisely Batam City provides job services for Installing New Channels (PSB) such as installation of internet, telephone, cable TV, and maintenance in fiber optic networks both in residential areas, buildings, shop houses and malls with distribution of Sagulung, Lubuk Baja and Batam Center. PT. Telkom Telkom Akses Kantor Telkom Marina has difficulty in meeting the minimum stock of each material based on the request for use of the distribution area. From the data on the use of existing material, it is only used for recording material usage only, while stored data is never reprocessed. Evaluation of segmentation / mapping is very important to find out whether the needs really have been met. The results of this study are expected to be able to cluster data on material usage data and the use of the K-Means method to provide results overview for material usage segmentation. The goal is for companies to be able to do and increase inventory of materials that are often ordered for each region. Keywords: segmentation, usage, material, k-means
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

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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%.

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