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Soil moisture prototype soil moisture sensor YL-69 for Gaharu (Aquilaria malaccensis) tree planting media Kartadie, Rikie; Nugroho, Muhammad Agung; Prayitna, Adiyuda; Kusjani, Adi; Mardika, Ardeana Galih
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 14, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v14i3.pp1163-1171

Abstract

Soil moisture, defined as the amount of water present in the spaces between soil particles, plays a critical role in plant growth. Excessive soil moisture can lead to issues such as root rot, deviating from the ideal conditions required for root absorption. To address this, we developed a prototype tool using the YL-69 soil moisture sensor to monitor and control the soil moisture levels in Agarwood/Gaharu tree planting media. The prototype was designed to activate a water pump when soil moisture exceeded 80%, ensuring optimal humidity for plant growth. Once the moisture level dropped below 80%, the pump was deactivated to prevent overwatering. The YL-69 sensor demonstrated an accuracy of 88.76% under controlled conditions. This study highlights the potential of using low-cost sensors for automated soil moisture management in small-scale Gaharu cultivation.
Ekstraksi Fitur Circularity untuk Pengenalan Varietas Kopi Arabika Sebatubun, Maria Mediatrix; Nugroho, Muhammad Agung
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 4: Desember 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (863.229 KB) | DOI: 10.25126/jtiik.201744505

Abstract

AbstrakKopi merupakan salah satu minuman yang sangat populer di dunia dan digemari oleh banyak orang termasuk di Indonesia. Kopi terdiri dari berbagai varietas, salah satunya adalah varietas arabika. Varietas kopi dapat memiliki kenampakan yang berbeda – beda misalnya seperti perbedaan warna, bentuk, ataupun tekstur. Oleh karena itu, terkadang petani ataupun pemilik coffee shop dapat melakukan kesalahan dalam mengenali varietas kopi arabika yang dijual ataupun yang dibeli. Hal ini juga akan mempengaruhi penentuan harga kopi tersebut, karena masing-masing varietas kopi arabika memiliki harga yang berbeda-beda. Untuk itu, diperlukan sistem yang juga mampu mengenali varietas kopi arabika secara akurat sehingga dapat digunakan sebagai second opinion bagi para petani ataupun pemilik coffee shop dalam mengenali varietas kopi arabika. Salah satu cara yang dapat dilakukan adalah dengan metode pencitraan. Tahap awal yang dilakukan adalah praproses yaitu cropping citra yang dilakukan secara manual, kemudian segmentasi menggunakan metode Otsu. Tahap selanjutnya adalah ekstraksi fitur bentuk menggunakan circularity dan klasifikasi menggunakan MultiLayer Perceptron. Hasil klasifikasi menunjukkan tingkat akurasi yang diperoleh sebesar 80%, sensitivitas 83,33% dan spesifisitas 76,7%.Kata kunci: ekstraksi fitur, kopi, klasifikasi, segmentasiAbstractCoffee is one of the most popular beverages in the world  and is favored by many people including Indonesians. Coffee consists of many variety, one of them is arabica. Coffee variety can have different features such as differences in color, shape, or texture. Therefore, sometimes farmers of coffee shop owners can make mistakes in recognizing the variety of arabica coffee that are sold or purchased. This will also affect the determination of coffee’s price, because each variety of arabica coffee have different prices. Hence, a capable system which can recognize arabica coffee accurately is required to be used as a second opinion for farmers or coffee shop owners in recognizing these variety. One of the methods that can be done is imaging. The initial stage is pre-processing by cropping the images manually, followed by segmentation using Otsu method. The next stage is shape based feature extraction using circularity and the last is classification using MultiLayer Perceptron. Classification results show 80% level of accuracy, 83.33% sensitivity, and 76.7% specificity.Keywords: feature extraction, coffee, classification, segmentation
Dynamic Bitrate Adjustment in Web-based Video Streaming Applications Using HTTP Live Streaming (HLS) Roh Bintang Jaya, Mabrur; Andriyani, Widyastuti; Kristomo, Domy; Agung Nugroho, Muhammad
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1344

Abstract

This research aims to implement Adaptive Bit Rate (ABR) in the web-based video streaming application JBTV using HTTP Live Streaming (HLS). ABR is a technique that enables automatic adjustment of video bitrate according to user network conditions, while HLS is a streaming protocol that supports adaptive streaming based on HTTP. The research methodology encompasses requirements analysis, system design, implementation, and evaluation. During the requirements analysis phase, the identification of JBTV application requirements and the features needed to implement ABR with HLS were conducted. System design involves the selection of suitable ABR algorithms and the architecture design of the JBTV application that supports HLS. Implementation is carried out by developing the JBTV application capable of generating variant streams with various bitrates and performing adaptive playback according to network conditions
Analisis Build Time Continuous Integration pada Multi Node Jenkins Menggunakan Metode Cache Febriyan Adji Saputro; Muhammad Agung Nugroho; Eka Sahputra; Alon Jala Tirta Segara
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.2034

Abstract

In the era of modern software development, the speed and efficiency of application build processes have become critical factors in enhancing the productivity of development teams. Jenkins, as a popular CI/CD tool, can be utilized to perform distributed builds across multiple servers. However, long build times remain a significant challenge, especially for container-based applications that require numerous dependencies and compilation stages. This study proposes a method to optimize build time by leveraging caching mechanisms. The proposed method utilizes cache storage to save frequently used build artifacts, thereby reducing the time required for recompilation in subsequent builds. In this research, experiments were conducted to compare the build time of container-based applications before and after implementing the caching method. The results of this study indicate that applying caching techniques to container-based applications can improve build speed by approximately 43% to 76%. This finding demonstrates that caching is highly effective in enhancing build time efficiency within Jenkins’ multi-node architecture. Consequently, this optimization not only accelerates the build process but also reduces computational resource consumption, thereby supporting more efficient and cost-effective CI/CD practices.
IMPLEMENTASI GABUNGAN AES-256 DAN RSA DENGAN METODE LSB UNTUK KEAMANAN DATA Ilham, Bintang Kusuma; Sidiq, Muhammad Fajar; Nugroho, Muhammad Agung; Yuniati, Trihastuti
Journal of Information System Management (JOISM) Vol. 7 No. 2 (2026): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2026v7i2.2477

Abstract

Penelitian ini mengembangkan sistem keamanan data yang menggabungkan enkripsi ganda (AES-256 CBC dan RSA-2048) dengan steganografi Least Significant Bit (LSB) pada gambar PNG. Dibangun menggunakan Python dengan Tkinter, sistem ini menangani enkripsi/penyisipan, ekstraksi/dekripsi, dan evaluasi kinerja. Pengujian pada lima gambar PNG dengan ukuran teks bervariasi menunjukkan penyembunyian data yang berhasil. Rata-rata MSE adalah 0,0263730426 dan PSNR 64,3427895234 dB. Pesan asli berhasil dipulihkan sepenuhnya. Efisiensi sistem ditunjukkan oleh rata-rata waktu eksekusi 92,376 ms untuk enkripsi dan 370,392 ms untuk dekripsi, dengan penggunaan memori yang rendah. Kapasitas steganografi mendekati batas teoretis. Sistem ini terbukti efektif dalam mengamankan data teks dan memenuhi semua tujuan penelitian.
Enhancing SDN Controller Resilience to DDoS Attacks with IAT-Based Detection on CICIoT2023 Muhammad Agung Nugroho; Rikie Kartadie
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1414

Abstract

This study addresses the vulnerability of Software-Defined Networking (SDN) controllers to Distributed Denial of Service (DDoS) attacks, a critical issue for secure smart city and e-government applications. Using the CICIoT2023 dataset. Methods: We employed Random Forest with Recursive Feature Elimination and Cross-Validation (RFECV) to identify critical features for DDoS detection, validated through simulations in a Mininet/ONOS environment. Results reveal Inter-Arrival Time (IAT) as the most significant feature (importance score: 0.3200), with Controller Resources being the most vulnerable component (vulnerability score: 0.9048). DDoS-ICMP_Flood was the most effective attack (vulnerability score: 1.00), while Controller Distribution achieved a mitigation effectiveness of 0.9048. This research introduces a novel temporal feature-based detection approach, outperforming volume-based methods, and proposes adaptive mitigation strategies for SDN resilience. These findings enhance secure SDN deployment in dynamic IoT-driven environments.