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All Journal Teknosains: Media Informasi Sains dan Teknologi Jurnal Agrinika : Jurnal Agroteknologi dan Agribisnis Jurnal Ilmiah Research and Development Student Jurnal Ilmiah Research Student Jurnal Akademik Pengabdian Masyarakat
Mochammad Rifki Ulil Albaab
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Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Social Sciences

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Sistem Deteksi Dini Banjir Berbasis Geographic Information System Terintegrasi Cloud Computing Website Di Kelurahan Tambakkemerakan Mochammad Rifki Ulil Albaab; Rangga Raditya Nugroho; Junia Vitasari; Johan Krisbima Abi
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 2 No. 1 (2024): Januari: Jurnal Akademik Pengabdian Masyarakat
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v2i1.906

Abstract

Based on the 2021 BNPB report, the flood disaster in Sidoarjo Regency, including Tambakkemerakan Village, had a significant impact with 1,205 families affected, 52 houses submerged and 2,449 hectares of land inundated. Infrastructure such as bridges, roads and drainage systems also suffered damage. The difficulty of getting real-time information regarding the location and water level at flood points makes it difficult for people to prepare themselves and take appropriate action. Therefore, the aim of this research is to increase community preparedness and reduce losses due to flooding by providing real-time early warning information. The research method involves system innovation that is integrated with the Geographic Information System and website, as well as organizing outreach and training to the community. The research results show that this solution is successful in providing better accessibility to information regarding the height of flood water and its status at the location points where the tool has been installed in real-time, enabling quick decision making, and reducing the impact of material and non-material losses.
Sistem Pengolahan Citra Digital Untuk Mendeteksi Ekspresi Wajah Secara Real-Time Menggunakan Deep Learning YOLOv5 Putri Adelia Khairunnisa; Rachmadani Anggowo Rizky; Moh. Ferdi Ardiansyah; Miftahur Rahman; Herlambang Satria Wijaya; Mochammad Rifki Ulil Albaab
JURNAL ILMIAH RESEARCH STUDENT Vol. 2 No. 1 (2025): Maret
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v2i1.3917

Abstract

The development of artificial intelligence (AI) technology encourages innovation in image processing and computer vision, one of which is a real-time facial expression detection system. This research aims to develop a system based on the YOLOv5 method and deep learning algorithms to detect facial expressions, such as neutral and smile, with high accuracy. The system is designed using training data processed through Roboflow, including dataset collection, labeling, and augmentation. The performance evaluation of the model was conducted using confusion matrix with accuracy, precision, recall, and F1-Score values, which showed an average accuracy of up to 99.6% with increasing datasets. The real-time system test results show the success of detecting facial expressions even when faced with variations in environmental conditions. This system has the potential to be applied in various fields, such as human-machine interaction, security, and education, and can be improved by increasing the variety of expressions recognized and integrating expert systems for more complex emotion analysis.
Smart Conveyor Real-Time Sort Rotten Tomatoes With Deep Learning Method Integrated IoT Control Vitasari, Junia; Nugroho , Rangga Raditya; Muhammad Andra Kusuma Ramadhan; Owen Pratama Endramawan; Mochammad Rifki Ulil Albaab
JURNAL ILMIAH RESEARCH AND DEVELOPMENT STUDENT Vol. 3 No. 1 (2025): Februari
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jis.v3i1.1135

Abstract

The Indonesian Ministry of Agriculture reported a significant increase in demand for fruits and vegetables in 2024. The share of expenditure on fruits increased by 18.35%, while for vegetables increased by 7.98% in the fourth quarter of 2024. This high demand drives the need for efficiency in the post-harvest process, especially at the sorting stage. Manual processes that rely on labor are time-consuming and risk producing errors in product quality grouping. As a solution, this study developed a smart conveyor system integrated with IoT technology and deep learning to classify tomatoes by grade. This system includes layers of physical devices, connectivity, computing, data processing, and collaboration to optimize performance. The conveyor is driven by a DC motor with a detection accuracy level of 94%. Rotten tomatoes are classified as grade C and directed straight, while red tomatoes (grade A) and green tomatoes (grade B) are directed to certain containers using servos. This innovation leads to manual processes, reduces dependence on labor, and increases efficiency. With this technology, farmers can meet market needs more effectively and ensure accurate and consistent tomato grouping, supporting the transformation of the horticulture sector in Indonesia.
Analisa kualitas perangkat lunak aplikasi policast berdasarkan model FURPS Muauwanah, Maulidatul; Arif , Muhammad Hasyim Al; Purbaningtyas, Rani; Mochammad Rifki Ulil Albaab
Teknosains Vol 18 No 3 (2024): September-Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v18i3.48383

Abstract

Dalam era yang ditandai oleh perkembangan teknologi yang pesat, aplikasi podcast telah menjadi komponen integral dari kehidupan sehari-hari, memperkuat interaksi antara pencipta konten dan pendengar melalui media audio. Sebagai contoh, Policast, sebuah aplikasi podcast yang dikembangkan oleh mahasiswa Politeknik Negeri Jember Kampus 4 Sidoarjo, merupakan salah satu wujud dari fenomena ini. Untuk memastikan kebermanfaatan dan kemudahan aksesibilitas aplikasi ini, diperlukan pengujian kualitas pada perangkat lunak tersebut. Penelitian ini bertujuan untuk menguji aplikasi Policast dengan indikator yang terdapat pada model FURPS. Penelitian ini menggunakan metode kuesioner dengan perhitungan Euclidean distance untuk mengevaluasi sejauh mana aplikasi podcast memenuhi standar kualitas dalam model FURPS. Proses tersebut melibatkan langkah-langkah seperti pemahaman terhadap model FURPS, pembuatan pertanyaan berdasarkan subindikator, penyebaran kuesioner kepada responden yang memiliki pemahaman tentang teknologi, analisis data menggunakan Euclidean distance, dan penyimpulan hasil berdasarkan kategori persentase pencapaian yang mencakup skala dari sangat baik hingga sangat kurang. Berdasarkan perhitungan menggunakan model FURPS, aplikasi Policast memiliki nilai kualitas sebesar 73,6%, menunjukkan bahwa secara keseluruhan aplikasi ini dapat dikategorikan sebagai baik. Meskipun terdapat variasi dalam penilaian setiap sub-indikator, rata-rata persentase pencapaian menunjukkan tingkat kualitas yang layak.
Implementasi Sistem Informasi Website sebagai Sarana Digital dalam Mendukung Pengembangan Pariwisata di Desa Kembangbelor Mojokerto Sholihah Ayu Wulandari; Mochammad Rifki Ulil Albaab; Adi Sucipto; Dhony Manggala Putra; Rifqi Aji Widarso; Nensyah Permadani; Dimas Aswito
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 3 No. 3 (2025): MEI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v3i3.4844

Abstract

Tourism is a crucial sector for Indonesia's economic growth, yet it faces challenges in resource utilization and effective promotion. Kembangbelor Village, Mojokerto Regency, boasts attractive natural potential but remains suboptimal in popularity. This community engagement aims to bridge this gap by integrating digital technology into tourism management and promotion. The methodology includes planning, preparation, implementation, and evaluation phases. The engagement resulted in an informative website that enhances access to destination information, boosts tourist visits, and increases community participation in tourism management. Local community involvement in the evaluation phase provided feedback to enhance system sustainability. Results showed a significant increase in tourist visits post-website launch, highlighting the program's success in enhancing exposure and attractiveness of Kembangbelor Village tourism. Practical implications underscore the importance of digital technology in supporting sustainable tourism growth at the local level.
Development of an Aquabalance Android Application for Real-Time Monitoring ofWater Temperature and pH in Greenhouses Mochammad Rifki Ulil Albaab; Slamet, Ahmad Haris Hasanuddin; Sekar Ayu Wulandari; Septine Brillyantina; Muhammad Haris Suhud; Rasyidah Aisy Ariyanto
Jurnal Agrinika: Jurnal Agroteknologi dan Agribisnis Vol 9 No 2 (2025): SEPTEMBER
Publisher : Kadiri University - Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/agrinika.v9i2.6202

Abstract

The rapid development of technology has significantly impacted the agricultural sector, particularly in optimising farming activities in restricted spaces like greenhouses. Monitoring environmental parameters such as water temperature and pH is crucial for successful plant cultivation. This research aims to develop an Android application, Aquabalance, for real-time monitoring of water temperature and pH levels in a greenhouse to improve efficiency and minimise the need for manual monitoring. The system integrates Arduino UNO, ESP8266, DHT22 temperature sensor, and a water pH sensor, achieving accuracy levels of ±0.5°C for temperature and ±0.1 pH for water. The development process utilised the Scrum method, ensuring flexibility and user-centric design. Testing was conducted with two participants—a farmer and a researcher—who assessed key functionalities such as registration, login, and data retrieval. The Android application performed with a 95% success rate, with an average response time of 2–3 seconds for real-time data display. User satisfaction was evaluated on a 1-5 scale, with an average score of 4.7 for usability, navigation, and performance. The results indicate that Aquabalance effectively facilitates greenhouse monitoring, providing real-time, remote access to essential environmental data, ultimately enhancing greenhouse management and reducing time spent on manual monitoring tasks.
Co-Authors Adi Sucipto, Adi Ahmad Haris Hasanuddin Slamet Arif , Muhammad Hasyim Al Dhony Manggala Putra Dimas Aswito Herlambang Satria Wijaya Johan Krisbima Abi Junia Vitasari Miftahur Rahman Moh. Ferdi Ardiansyah Muauwanah, Maulidatul Muhammad Andra Kusuma Ramadhan Muhammad Haris Suhud Nensyah Permadani Nugroho , Rangga Raditya Owen Pratama Endramawan Putri Adelia Khairunnisa Rachmadani Anggowo Rizky Rangga Raditya Nugroho Rani Purbaningtyas, Rani Rasyidah Aisy Ariyanto Rifqi Aji Widarso Sekar Ayu Wulandari Septine Brillyantina Vitasari, Junia Wulandari, Sholihah Ayu