Garuda - Garba Rujukan Digital

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

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

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

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.

DIGITAL LITERACY LEVEL OF SCHOOL AGE CHILDREN IN SAMARINDA CITY AS AN IKN PARTNER: TINGKAT LITERASI DIGITAL ANAK USIA SEKOLAH DI KOTA SAMARINDA SEBAGAI MITRA IKN Muhammad Ibnu Sa'ad; Nursobah; Pajar Pahrudin; Pitrasacha Adytia; Hanifah Ekawati; Salmon
Jurnal Riset Inossa : Media Hasil Riset Pemerintahan, Ekonomi dan Sumber Daya Alam Vol. 7 No. 2 (2025): December
Publisher : Badan Perencanaan Pembangunan Daerah, Penelitian dan Pengembangan Kota Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54902/84xcbr23

The rapid development of digital technology has had a significant impact on the behavior patterns and learning processes of children, especially those at the elementary school (SD) and junior high school (SMP) levels. On the other hand, low digital literacy skills can result in negative impacts such as exposure to inappropriate content, digital addiction, and a lack of ability to think critically about the information received. This research aims to evaluate the digital literacy level of elementary and middle school age children and design an educational approach to improve this ability. The method used is a descriptive qualitative approach through observation, interviews with teachers and parents, as well as mentoring activities based on digital literacy modules. The research results show that most students have technical skills in using devices, but lack the aspects of digital ethics, personal data security and information analysis. Digital literacy training programs based on educational games and group discussions have proven effective in increasing students' digital literacy awareness and skills. In conclusion, digital literacy education needs to be provided from an early age with an approach that is appropriate to the child's age and world

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