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All Journal Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JSAI (Journal Scientific and Applied Informatics) Buletin Ilmiah Sarjana Teknik Elektro Jurnal Teknik Industri Terintegrasi (JUTIN) Just TI (Jurnal Sains Terapan Teknologi Informasi) Buletin Poltanesa Riau Jurnal Teknik Informatika
Wahyuni Eka Sari
Politeknik Negeri Samarinda
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Klasterisasi Tingkat Kematangan Buah Naga Berdasarkan Warna Dengan Metode Segmentasi K-Means Clustering Berbasis Mobile Eny Maria; Wahyuni Eka Sari; Putri Eva Damayanti
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 6, No 1 (2022): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v6i1.8364

Abstract

Pengolahan citra meruakan salah satu metode representasi operasi pada gambar. Terdapat dua jenis pengolahan citra yaitu pengolahan citra analog dan pengolahan citra digital. Pengolahan citra digital membantu dalam proses manipulasi gambar dengan menggunakan komputer. Tiga tahapan umum yang harus dilalui semua jenis data saat menggunakan teknik digital yaitu preprocessing, enhancement display dan ekstraksi informasi. Dalam penelitian ini, dalam proses klasterisasi menggunakan metode k-meansclustering. K-means clustering merupakan salah satu metode yang paling banyak digunakan dalam proses pengelompokan. K-means clustering merupakan metode pengelompokan berdasarkan nilai mean terdekat (pusat cluster atau centroid cluster) dari objek n ke cluster k. Metode tersebut dapat diterapkan pada ponsel menggunakan android studio, khususnya untuk pengelompokan tingkat kematangan buah naga merah. Buah naga merah memiliki empat tingkat kematangan yaitu matang, mentah, setengah matang atau mengkal dan terlalu matang atau lewat matang. Berdasarkan pada 40 data citra uji yang digunakan dalam penelitian ini, akurasi yang didapatkan pada pengelompokan menggunakan metode segmentasi k-means clustering adalah sebesar 97,5% . 
MQTT Rancang bangun Server Message Queuing Telemetry Transport ( MQTT) Internet of Things ( IoT) Berbasis Eclipse irwansyah irwansyah; Wahyuni Eka Sari; Agus Triyono; Yhunike Widiya Pratama; Muhammad Bagus; Bintang Tmur; susanna susanna
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7403

Abstract

The design of a Message Queuing Telemetry Transport (MQTT) server for the Internet of Things (IoT) utilizes Eclipse Mosquitto as the core server software. The process begins with installation and basic configuration, including port setup, authentication, and encryption to ensure secure communication. Further customization is implemented to meet specific project requirements, such as configuring connection protocols, access permissions, quality of service (QoS) levels, and message retention policies. Integration with other Eclipse platforms, such as Eclipse Paho, supports the development of MQTT clients for IoT devices, enabling bidirectional communication between the server and devices. Additional tools like Eclipse Vert.x or Eclipse Hono may also be utilized to enhance device management and enable more complex message processing. Testing results indicate that the MQTT server implemented on a Raspberry Pi 3 B+ successfully received and transmitted data. The ESP32 device also achieved successful data communication via the MQTT server. The system can be accessed across different networks, offering flexible communication without reliance on the same local network. This implementation demonstrates the reliability of MQTT as a robust solution for IoT communication.
Rancang Bangun Alat Penyiraman, Pemupukan, Dan Penyemprotan Pestisida Pada Bibit Kelapa Sawit Berbasis Internet of Things Wawan Hermanto; Wahyuni Eka Sari; Abdullah Hanif
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4691

Abstract

Manual care for oil palm seedlings during the nursery stage is often inefficient, labor-intensive, and prone to inaccuracies regarding the dosage and frequency of water, fertilizer, and pesticide application. This study aimed to design and develop an integrated Internet of Things (IoT)-based automation system that combines watering, liquid fertilization, and pesticide spraying functions into a single device capable of remote monitoring and control. The system was constructed using an ESP32 microcontroller, a soil moisture sensor (YL-69), a rain sensor (FC-37), a DS3231 RTC module, three DC pumps, and relays; sensor data is transmitted to the Firebase Realtime Database and displayed via a web dashboard. Test results demonstrated that the soil moisture sensor automatically activates the pump when levels fall below a 30% threshold, the rain sensor responds to weather changes in under one second, and data communication remains stable with an average delay of 1–2 seconds. This IoT system contributes to improved seedling care efficiency, evidenced by an average seedling height growth of 15 cm over 30 days, compared to 12 cm using manual methods.
Alat Pendeteksi Keabsahan Surat Suara Otomatis Berbasis Thresholding Contour Detection Muhammad Ardika; Wahyuni Eka Sari; Abdullah Hanif
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60179

Abstract

This research discusses the design of a ballot validation system based on Threshold Contour Detection using ESP32-CAM, Firebase, and OpenCV. The goal is to develop an automated method for identifying holes in ballots to assess their validity. The ESP32-CAM captures ballot images and sends them to Firebase Storage for processing with OpenCV using the Threshold Contour Detection method. The results of the validity analysis are sent to the Firebase Realtime Database for display on a web page. Test results showed the system performed as designed, although there were some errors. Lighting significantly affected the image quality captured by the ESP32-CAM, while internet connection played a crucial role in data synchronization. Performance evaluations demonstrated that implementing this method helped election officials validate ballots, although the detection process still needs improvement. The system successfully detected "valid" ballots with an 86% success rate, indicating that the application is suitable for counting valid ballots.
Co-Authors Abdullah Hanif Agus Triyono Annafi’ Franz Bintang Tmur Dawamul Arifin Eko Junirianto Eny Maria Geofani Fatur Perdana Ida Maratul Khamidah Irwansyah Irwansyah Irwansyah Karim, Syafei Liza Chairunnisa Muchamad Zainul Rohman Muhammad Ardika Muhammad Bagus Muslimin B, Muslimin Natalia Bunga Kambuno Nisa Rizqiya Fadhliana Nurhidayat Subagio Putri Eva Damayanti Riska Haruna Ronaldo Pascalis Naro Selvia Rani Susanna Susanna Wawan Hermanto Yhunike Widiya Pratama Yulianto Yulianto Yulianto