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Automatic System of Sound and Light Intensity for Swiftlet House Nursobah; Siti Lailiyah; Muhammad Ragil Prayoga
TEPIAN Vol 4 No 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.393 KB) | DOI: 10.51967/tepian.v4i1.2230

Abstract

In cultivating swiftlet nests, some swiftlet breeders still find it difficult to summon sounds and control the intensity of light in swiftlet houses. As for the bird calling technique by playing the audio of the swiftlet without having to be heard at any time and there is also a certain hour, an automatic time system is made so that the on/off audio swiftlet process can be properly organized and also the intensity of light entering the swiftlet house is too bright, so breeders close the ventilation holes with insulation or wood, so the system will be made to control light intensity by using automatic opening or closing of curtains/windows, where when the swiftlet house is bright, the curtain closes, while when the light of the swiftlet house is dark, the curtain opens. RTC DS3231 and LDR sensor which functions as a detector of sound time and light intensity, the NodeMCU ESP8266 microcontroller which functions as a data processor so that results can be displayed on the LCD. This research was conducted in stopover Village, stopover District, West Kutai Regency. Data collection methods used are literature study, interviews, and observation. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment.
Automatic System of Sound and Light Intensity for Swiftlet House Nursobah; Siti Lailiyah; Muhammad Ragil Prayoga
TEPIAN Vol. 4 No. 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i1.2230

Abstract

In cultivating swiftlet nests, some swiftlet breeders still find it difficult to summon sounds and control the intensity of light in swiftlet houses. As for the bird calling technique by playing the audio of the swiftlet without having to be heard at any time and there is also a certain hour, an automatic time system is made so that the on/off audio swiftlet process can be properly organized and also the intensity of light entering the swiftlet house is too bright, so breeders close the ventilation holes with insulation or wood, so the system will be made to control light intensity by using automatic opening or closing of curtains/windows, where when the swiftlet house is bright, the curtain closes, while when the light of the swiftlet house is dark, the curtain opens. RTC DS3231 and LDR sensor which functions as a detector of sound time and light intensity, the NodeMCU ESP8266 microcontroller which functions as a data processor so that results can be displayed on the LCD. This research was conducted in stopover Village, stopover District, West Kutai Regency. Data collection methods used are literature study, interviews, and observation. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment.
Analisis Segmentasi Kunjungan Wisata Menggunakan Algoritma K-Means pada Dinas Pariwisata Kutai Kartanegara Rully Wijaya Saputra; Nursobah; Ahmad Abul Khair
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2324

Abstract

Kutai Kartanegara Regency possesses abundant and diverse tourism potential that can contribute significantly to regional economic development. Nevertheless, tourism visitation data has generally been utilized only for administrative documentation and reporting purposes, limiting its role in supporting strategic decision-making. Therefore, a data-driven approach is required to identify the characteristics and performance of tourism destinations more effectively. This study aims to analyze and segment tourism destinations in Kutai Kartanegara Regency using the K-Means Clustering algorithm. The research employed secondary data obtained from the Kutai Kartanegara Tourism Office covering the period from 2023 to 2025. Three variables were used in the clustering process, namely total domestic tourist visits (Wisnus), total international tourist visits (Wisman), and seasonal visitation fluctuations. Prior to clustering, the data underwent preprocessing and normalization to improve clustering performance. The Elbow Method was applied to determine an appropriate number of clusters, resulting in a three-cluster solution representing high-, medium-, and low-visitation categories. The clustering process successfully grouped 56 tourism destinations into 28 destinations in the medium-visitation cluster, 12 destinations in the high-visitation cluster, and 16 destinations in the low-visitation cluster. Furthermore, model evaluation using the Silhouette Score produced a value of 0.4288, indicating a moderate and acceptable level of cluster quality. The findings provide a comprehensive overview of tourism destination performance and can support policymakers in prioritizing destination development, improving resource allocation, and formulating more targeted tourism promotion strategies to enhance regional tourism competitiveness.
Co-Authors Ahmad Abul Khair Muhammad Ragil Prayoga Rully Wijaya Saputra Siti Lailiyah