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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

Clustering Data Calon Siswa Baru Menggunakan Metode K-Means di Pusat Pengembangan Anak Fajar Baru Cengkareng Setiawan, Kiki; Saputry, Yulia Yanti Ayu
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1426

Abstract

Clustering is the process of partitioning a set of data objects into subsets known as clusters. K-means is an unsupervised learning algorithm, K-Means also has a function to group data into data clusters. The K-Means algorithm method was chosen because it has a fairly high accuracy of object size, so this algorithm is relatively more scalable and more efficient for processing large numbers of objects. In the world of education, in general, every new school year there will be something called registration of new prospective students, at the Fajar Baru Child Development Center, many prospective students are accepted from 3 years to 5 years old, therefore the authors hope that by using clustering data can easily group data so that it can make it easier to find the necessary data. By using the K-means algorithm method and using the RapidMiner application, it found 80% efficient results in grouping data.
Penerapan IoT dalam Sistem Monitoring Suhu dan Kelembapan pada Lahan Bawah Tanah (Basement) Masjid Al-Barkah Tundo; Azhar, Anisah Nurul; Setiawan, Kiki; Aula, Raisah Fajri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3199

Abstract

Underground areas, commonly referred to as basements, are often used for essential functions such as parking and electrical distribution spaces. However, unstable temperature and humidity levels due to poor air circulation can affect comfort and safety. Therefore, a system capable of automatically monitoring and controlling temperature and humidity is needed to optimize comfort and energy efficiency. This research employs an Internet of Things (IoT) approach using a DHT11 sensor to detect temperature and humidity in the basement. The data collected by the sensor is processed using a NodeMCU ESP32 microcontroller and then displayed in real-time on a web-based application via the cloud. The system also automatically controls the fan/blower to maintain ideal conditions in the basement. The results of this research show that the implemented IoT system demonstrates high effectiveness in monitoring temperature and humidity in real-time, providing accurate data, enabling energy savings by automatically regulating the fan/blower, and improving air quality and user comfort in the basement.
Optimasi Sistem Pencahayaan pada Ruang Kelas SDN Pinang 03 Setiawan, Kiki; Fadillah, M. Rafli
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3803

Abstract

Classroom 4.3.4, 5.3.2 and 6.3.3 is used as a classroom for teaching and learning at SDN PINANG 03. The focus of discussion in this study is the illumination and lighting systems in the classroom. Illumination that occurs in the classroom does not meet standards, illumination for classroom lighting is 250 lux - 300 lux, the amount of light points is not in accordance with the standard calculation, finding some space with lighting installations are not designed in groups. One attempt to correct this condition is to make proposals optimization. The first optimization is to replace the existing types of lamps with 36 watt fluorescent lamp, with the number of lights installed at each point lights (luminaire) by 2 pieces and the number of points of light used is the number of point lights existing condition. The second optimization is to use the same type of lights to the existing condition is a downlight Philips Essential 23W Energy Saver E27 220-240V 50-60 Hz Cool Daylight lamp with a number of points based on standard calculations. The third optimization is to replace the existing types of lamp with 36 watt fluorescent lamp with a number of lights installed at each point lights (luminaire) by 2 pieces and the number of light points in accordance with accounting standards. The study was done by measuring the strong lighting in the classroom by means of a lux meter, analyze case studies on existing conditions with the theory. Then the results of these measurements will be compared with the illumination calculations in accordance with the standard formula, which in turn will get to do some optimization. The results of this study showed a strong improvement of the optimization of the value nearing illumination standards and meet the standards. Optimizations that meet the standards is the third optimization with a illumination value on classroom 4.3.4 is 257 lux , classroom 5.3.2 is 278 lux and classroom 6.3.3 is 317 lux. Values obtained from this optimization are powerful illumination range of 257 lux to 317 lux. It can be concluded that the results of this optimization meet strong standards for classroom lighting.