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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Applied Informatics Journal of Innovation Information Technology and Application (JINITA) SEMAR Sisfo: Jurnal Ilmiah Sistem Informasi
Nanang Maulana Yoeseph
Universitas Sebelas Maret
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences

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Portable internet of things-based soil nutrients monitoring for precision and efficient smart farming Hartono, Rudi; Maulana Yoeseph, Nanang; Aji Purnomo, Fendi; Asri Safi'ie, Muhammad; Alim Tri Bawono, Sahirul
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7928

Abstract

This paper describes the design and implementation of a portable internet of things (IoT)-based system for online monitoring of soil nutrients, specifically nitrogen (N), phosphorus (P), and potassium (K), to improve precision and efficiency in smart farming. The main goal is to use IoT technology to analyze soil conditions on-site and provide advice about fertilization and soil management. The system measures soil nutrient levels using field-based sensors, such as an NPK probe, and transmits data over a wireless sensor network. The research comprises a quantitative evaluation of the performance of the IoT system using various sensors. An analysis of variance (ANOVA) was used to compare the accuracy of the IoT device with industrial soil nutrient measurement equipment, demonstrating differences in P and K values but not in N values. This disparity points to certain areas where the accuracy of the P and K measurements in the IoT system should be improved. This IoT-based soil nutrient monitoring system highlights the potential of smart farming technology to boost agricultural output, optimize resource consumption, and support sustainable farming practices. The system's portability and online data availability provide farmers with exact soil condition information, allowing them to make more efficient and intelligent farming decisions.
A lightweight convolutional neural network for rice leaf disease detection integrated in an Android application Hartono, Rudi; Yoeseph, Nanang Maulana; Purnomo, Fendi Aji; Bawono, Sahirul Alim Tri; Purnomo, Agus
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9260

Abstract

More than two-thirds of the world's population rely on rice or wheat as staple foods, which are grown in various Asian countries. Diseases affecting rice leaves can disrupt growth, reduce yields, and cause famine in some areas. Therefore, a quick and accurate recognition method is necessary to minimize losses. This article focuses on eight types of rice leaf diseases using data consisting of approximately 110 images for each disease type, with enhanced image quality to achieve better results. The study applies a convolutional neural network (CNN) model integrated into an Android mobile application, achieving a training accuracy of 86.56% and a validation accuracy of 93.75%. Comparative experiments demonstrate that the model can be effectively implemented in mobile applications for accurately detecting rice leaf diseases, providing a reliable solution for field detection. This method not only helps farmers identify diseases more quickly but also has the potential to reduce crop losses caused by leaf diseases.
Modified Grey Wolf Optimizer with Lévy Flight for Waste Collection Routing: A Case Study in Bandung Rudi Hartono; Nanang Maulana Yoeseph; Abdul Aziz; Agus Purnomo
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2883

Abstract

Efficient urban waste management is a critical challenge driven by rapid urbanization, with collection routes strongly influencing operational costs and environmental sustainability. This study addresses the optimization of waste collection routes by modeling the problem as a Travelling Salesman Problem (TSP), serving as a foundational step toward more complex routing frameworks. We propose a Lévy-flight-enhanced Grey Wolf Optimizer (LGWO), which extends the standard Grey Wolf Optimizer (GWO) by integrating a lévy flight mechanism designed to strengthen global exploration and mitigate premature convergence to local optima. The performance of LGWO is evaluated against six other metaheuristic algorithms (GWO, ACOR, WOA, PSO, ALO, and ABC) using a real-world dataset of 36 waste collection points in Bandung, Indonesia. Experimental results based on 30 independent trials per algorithm show that LGWO achieves the best overall performance, obtaining the shortest tour (60.85 km) and the lowest mean distance (77.72 km), whereas the Ant Lion Optimizer (ALO) yields the poorest performance with the highest average distance of 89.90 km. These findings indicate that incorporating a lévy flight mechanism into GWO improves solution quality and convergence behavior for TSP-based waste collection routing. This research offers a practical optimization tool for developing more efficient and cost-effective urban waste management strategies. Future work will extend this approach by incorporating dynamic factors such as service times and vehicle capacities, enabling a more realistic treatment of Vehicle Routing Problem (VRP) variants.  
Plant Disease Object Detection on PlantDoc Using YOLO26n Ovide Decroly Wisnu Ardhi; Rudi Hartono; Nanang Maulana Yoeseph
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27063

Abstract

Plant disease recognition from images is often reported as classification, although field inspection needs more than a class label. A farmer or agricultural officer must also know where the suspected leaf or disease region appears. This paper examines that localization problem using YOLO26n on the PlantDoc object detection dataset. PlantDoc is not a clean laboratory leaf dataset. It contains outdoor images with background clutter, uneven illumination, different leaf poses, overlapping objects, and visible symptom variation. YOLO26n was trained for 50 epochs with 416 × 416 input size and batch size 16. On the test set, the model obtained 0.534 precision, 0.560 recall, 0.547 F1-score, 0.573 mAP@0.50, and 0.417 mAP@0.50:0.95. Compared with the original PlantDoc detection benchmark, mAP@0.50 increased from 0.389 to 0.573. This result shows that a recent lightweight YOLO detector can improve object-level localization on PlantDoc. At the same time, the lower mAP@0.50:0.95 shows that precise bounding-box placement is still difficult. Most errors appear in visually similar symptoms, overlapping leaves, cluttered backgrounds, and under-represented classes. Thus, YOLO26n is better positioned as an initial baseline reference than as a deployable diagnostic model. Keywords: Object detection; Plant disease; PlantDoc; YOLO26n; Deep learning.
Rancang Bangun Sistem Antrian Terkustomisasi Berbasis Android Yoeseph, Nanang Maulana; Riasti, Berliana Kusuma; Hartatik, Hartatik; Pratisto, Eko Harry; A'la, Fiddin Yusfida
IJAI (Indonesian Journal of Applied Informatics) Vol 6, No 1 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v6i1.56778

Abstract

Abstrak : Sebagian besar pelayanan publik di era ini masih menggunakan sistem konvensional. Yang mana, klien layanan mendapatkan tiket antrean, menunggu, dan dilayani di tempat yang sama. Penelitian ini bertujuan untuk memudahkan dan memungkinkan orang untuk mengantre dari jarak jauh. Dengan demikian waktu yang awalnya digunakan untuk dihabiskan menunggu, bisa digunakan untuk dihabiskan melakukan sesuatu yang lain lebih berguna.Berdasarkan kondisi yang dikatakan di atas, aplikasi yang menghubungkan agen layanan dengan klien layanan perlu dibuat. Aplikasi ini memanfaatkan internet dan smartphone yang dapat diakses melalui aplikasi Android atau browser web. Pengembangan aplikasi ini menggunakan kerangka kerja Ionic React. Aplikasi ini dirancang dan dibangun menggunakan metode Waterfall yang terdiri dari pengamatan dan pengumpulan data, analisis, desain sistem, bangunan dan pengujian, kesimpulan dan saran.Dari desain dan bangunan yang telah dilakukan, dibuat aplikasi yang memiliki ftur dasar untuk antrean online. Aplikasi ini dapat dijalankan di browser web dan perangkat Android dengan sistem operasi minimum Android 4.4 KitKat.Abstract : Most public services in this era still use conventional systems. Which is, service clients get queue tickets, wait, and be served in the same place. This research aims to ease and enable people to queue remotely. Thus the time that is originally used to be spent waiting, could be used to be spent doing something else more useful. Based on the conditions said above, an application that connects service agencies with service clients needs to be made. This application utilizes the internet and smartphone which can be accessed through Android application or web browser. The development of this application uses the Ionic React framework. This app is designed and built using the Waterfall method consisting of observation and data collection, analysis, system design, building and testing, conclusion and suggestion.
Rancang Bangun Sistem Informasi Presensi Perkuliahan Dengan QR-Code di D3 Teknik Informatika Universitas Sebelas Maret Yoeseph, Nanang Maulana
IJAI (Indonesian Journal of Applied Informatics) Vol 7, No 1 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v7i1.63829

Abstract

Abstrak Dengan berkembang pesatnya teknologi seperti saat ini, kita dituntut untuk bergerak cepat dan efisien. Salah satu caranya adalah dengan memanfaatkan teknologi yang ada dengan baik. Presensi yang menjadi bukti kehadiran mahasiswa dalam suatu perkuliahan haruslah dilakukan secara efisien. Oleh karena itu, dibutuhkan penggunaan teknologi, dalam hal ini perangkat lunak, agar bisa menjadikan presensi kehadiran menjadi efisien dan reliabel. Tujuan dari penelitian ini adalah untuk membuat perangkat lunak yang mampu memberikan kemudahan bagi dosen dan mahasiswa dalam mengisi daftar kehadiran dalam suatu perkuliahan dimana metode yang digunakan dalam penelitian ini adalah System Development Life Cycle. Fitur dalam sistem ini antara lain halaman web untuk admin dan dosen, memanajeman logbook, serta membuat aplikasi android untuk mahasiswa melakukan scan QR code. Hasil dari sistem informasi presensi perkuliahan ini adalah sebuah sistem presensi yang mampu meningkatkan efisiensi dalam proses presensi perkuliahan, dengan fitur antara lain, mampu memindai kode QR yang dibuat dalam setiap perkuliahan untuk presensi mahasiswa, membuat logbook perkuliahan, merekap logbook dan presensi mahasiswa.AbstractWith the rapid development of technology today, we are required to move quickly and efficiently. One way to do this is by making good use of the available technology. Attendance, which is proof of a student's presence in a lecture, must be done efficiently. Therefore, the use of technology, in this case software, is needed to make attendance recording efficient and reliable for both lecturers and students. The purpose of this research is to create software that can provide convenience for lecturers and students in recording attendance in a lecture, using the System Development Life Cycle method. The features in this system include a web page for admin and lecturers, logbook management, and creating an Android application for students to scan QR codes. The result of this lecture attendance information system is a presence system that is capable of improving efficiency in the lecture attendance process, with features such as the ability to scan the QR code created for each lecture to record student attendance, create a lecture logbook, and record student logbooks and attendance.
Transformasi Edukasi Digital Di SMAN 1 Surakarta: Pemberdayaan Guru Melalui E-learning dan pemanfaatan teknologi AI Hartono, Rudi; Maulana Yoeseph, Nanang; Purbayu, Agus; Tri Bawono, Sahirul Alim; Aziz, Abdul; Purnomo, Agus
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 1 (2025): Mei
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i1.93915

Abstract

Di era digital saat ini, pembelajaran digital telah menjadi salah satu aspek fundamental dalam dunia pendidikan. Transformasi pendidikan ke arah digital mencakup penggunaan teknologi dalam proses belajar mengajar serta memperkenalkan metode pembelajaran yang lebih inovatif dan interaktif. Kemajuan teknologi informasi dan komunikasi memberikan akses yang lebih luas kepada pendidik dan siswa terhadap sumber daya dan informasi, sehingga pembelajaran menjadi lebih fleksibel dan personal. Dengan kemudahan akses ke materi pelajaran dan pembelajaran yang disesuaikan dengan kecepatan individu, pembelajaran digital juga meningkatkan keterlibatan siswa dan mendorong kolaborasi melalui berbagai aplikasi dan media sosial. Sebagai bagian dari upaya transformasi ini, pengabdian yang dilakukan oleh D3TI Sekolah Vokasi UNS di SMAN 1 Surakarta pada 15 dan 16 Agustus 2024 bertujuan untuk meningkatkan kompetensi guru melalui topik "Penggunaan AI untuk Mendukung Pembelajaran" dan "Teknis Penggunaan Tool untuk Pembuatan Media Pembelajaran." Pelatihan ini diikuti oleh sekitar 55 guru, dan hasil kuesioner pascapelatihan menunjukkan bahwa 70% guru (46 orang) telah menerapkan keterampilan yang diperoleh dalam proses pembelajaran. Dampak positif ini tidak hanya terlihat pada peningkatan kompetensi guru, tetapi juga pada kualitas pembelajaran yang diberikan, di mana 60% guru melaporkan adanya dampak signifikan terhadap proses pembelajaran di SMAN 1 Surakarta.
Co-Authors A'la, Fiddin Yusfida Abdul Aziz Abdul Aziz Agung Eko Saputro Agus Purbayu, Agus Agus Purnomo Agus Purnomo Alim Tri Bawono, Sahirul Andri Adi Nugroho Anisa Pamiliawati Arif Purwo Nugroho Asri Safi'ie, Muhammad Bawono, Sahirul Alim Tri Berliana Kusuma Riasti Eko Harry Pratisto Fendi Aji Purnomo Haidar Yusuf Al Hambra Hartatik Hartono, Rudi muhammad Asri Safi'ie Ovide Decroly Wisnu Ardhi Rudi Hartono Sahirul Alim Tri Bawono Sahirul Alim Tri Bawono, Sahirul Alim