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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH JITU : Journal Informatic Technology And Communication Journal Peqguruang: Conference Series Jurnal Minfo Polgan (JMP) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika: Jurnal Pengembangan IT J-CEKI
Busran Busran
Institut Teknologi Padang
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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ANALISA LAHAN DAN REKOMENDASI JENIS TANAMAN PADA PERTANIAN CERDAS BERBASIS IOT Busran, Busran; Syahrani, Anna; Putra, Eko Kurniawanto; Yulianti, Eva; Djauhari, Muhammad vajri
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.92-99

Abstract

Technology-based agriculture is a modern approach that utilises the Internet of Things (IoT) to efficiently support the production process. In Kampung Durian Tarung, Pasar Ambacang, Kuranji, Padang, West Sumatra, a group of horticultural farmers face challenges in determining the type of plants that are suitable for the soil quality of their land. This research develops an IoT-based system for land analysis that can recommend optimal crop types according to soil conditions. IoT technology is implemented to collect soil data, such as pH, moisture, and soil temperature, through wireless sensors. The data is analysed using a fuzzy method, which enables decision-making based on a number of soil quality parameters to provide more precise and real-time recommendations. The trial results show that the system is able to accurately measure soil conditions and provide appropriate crop recommendations based on the soil quality data obtained.  The use of fuzzy methods proved effective in filtering data from sensors and adjusting crop recommendations based on threshold values on pH, humidity, and soil temperature. This research contributes to the field of smart agriculture by presenting an IoT-based solution specific to the needs of local horticulture farmers. Combining wireless sensor technology and fuzzy methods enables analyses that are more adaptive and relevant to the soil conditions on the farm. The success of this research provides direction for the development of similar systems that can be applied in other regions, and underlines the role of IoT technology in supporting agricultural sustainability through optimal utilisation of data.
Perancangan Sistem Pengamanan Pintu Lemari Arsip Berbasis Pengenalan Wajah Menggunakan Esp32-Cam dan Faceapi.Js Riskhan Hadid; Busran, Busran; Minarni, Minarni; Warman, Indra; Mandarani, Putri
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.2077

Abstract

A facial recognition-based security system for filing cabinets using ESP32-CAM and the face-api.js library is designed as a modern solution to enhance the security of storing important documents in office or organizational environments. This system utilizes facial recognition technology as a biometric authentication method, offering greater reliability compared to conventional systems. The ESP32-CAM serves as the device that captures users' facial images in real-time and transmits them to a web interface for further processing. Facial detection and feature extraction are performed using the face-api.js library, built on top of TensorFlow.js, leveraging deep learning techniques based on Convolutional Neural Networks (CNN). The models employed include TinyFaceDetector for face detection, faceLandmark68Net for determining facial landmark points, and faceRecognitionNet for generating a 128-dimensional face descriptor. Registered facial data is stored in a web-based database, allowing significantly greater storage capacity compared to local storage in the ESP32-CAM's memory. Verification is conducted by comparing the detected face descriptor against stored data using the FaceMatcher algorithm with a threshold of 0.6. Testing results indicate that the system can accurately recognize faces under adequate lighting conditions, although performance decreases under low-light intensity. This integration of hardware and software provides a more efficient and modern security solution.
Implementasi Kebijakan Perhutanan Sosial di Kecamatan Dapurang Kabupaten Pasangkayu Busran, Busran; Suasa, Suasa; Haryono, Dandan
J-CEKI : Jurnal Cendekia Ilmiah Vol. 5 No. 1: Desember 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v5i1.13270

Abstract

Penelitian ini bertujuan untuk menganalisis implementasi kebijakan perhutanan sosial di Kecamatan Dapurang Kabupaten Pasangkayu. Pendekatan yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi terhadap tujuh informan yang ditentukan secara purposive. Hasil penelitian menunjukkan bahwa implementasi kebijakan perhutanan sosial belum berjalan efektif. Hambatan utama meliputi lemahnya komunikasi lintas sektor, keterbatasan sumber daya manusia dan anggaran, rendahnya komitmen pelaksana, serta belum jelasnya pembagian tugas antarinstansi. Upaya peningkatan koordinasi, kapasitas masyarakat, dan penegakan sanksi menjadi kunci untuk mewujudkan pelaksanaan kebijakan yang lebih efektif dan berkelanjutan.
Co-Authors Abdul Latief Anisya Anisya Azis, Rezki Candra, Rozi Dandan Haryono Devalio, Devalio Djauhari, Muhammad vajri Eva Yulianti Firmansyah Sitakar, Adji Ganda Yoga Swara Ilahi, Riski Pratama Indra Warman Kazhim, Musa Al Kurniwanto Putra, Eko Minarni Minarni Novfelia, Asty Putra, Dede Wira Trise Putra, Eko Kurniawanto Putri Mandarani Riskhan Hadid Suasa Suasa Tiflathurrahimma, Annastasya