Claim Missing Document
Check
Articles

Found 26 Documents
Search

Quality of Service (QoS) Sistem Monitoring Daya (PS) dan Daya Cadangan (UPS) Menggunakan Zabbix dengan Notifikasi Email dan Telegram Fatahillah, Fajar; Firdausi, Ahmad
InComTech : Jurnal Telekomunikasi dan Komputer Vol 14, No 1 (2024)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v14i1.18982

Abstract

Seiring dengan peningkatan layanan dan pelanggan pada perusahaan penyedia internet dan Tv kabel, penggunaan perangkat pada data center semakin bertambah. Oleh karena itu dibutuhkan daya cadangan (ups) agar data center dan perangkat penunjang operasional perusahaan tetap berjalan dengan baik. Sistem monitoring daya cadangan menjadi lebih krusial karena meliputi seluruh perangkat pada data center, karena ketika terjadi daya padam tanpa cadangan daya atau ups, mengakibatkan layanan internet dan tv pelanggan menjadi terganggu. Oleh karena itu penulis mengembangkan implementasi sistem monitoring daya cadangan (ups) menggunakan Zabbix integrasi notifikasi email dan telegram yang diharapkan dapat menjadi solusi pemantauan perangkat ups secara efeketif dan efisien. Berdasarkan perancangan dan pengujian sistem monitoring dengan Zabbix, perangkat ups berhasil terpantau dengan baik. Notifikasi permasalahan pada sistem Zabbix berhasil diintegrasikan atau dikirimkan melalui media email dan telegram kepada pengguna atau administrator. Pengujian sistem dengan Quality of Service standar TIPHON, menunjukan kategori sangat bagus berdasarkan standar TIPHON, rata-rata  Throughput 293.710 Kbps, Delay 4.267 ms dan Jitter 0.00964 ms
Rancang Bangun Triptonic Tracking System pada Panel Surya Thin Film Firdausi, Ahmad; Al-Mulki, Abdul Malik; Septiyana, Diah
InComTech : Jurnal Telekomunikasi dan Komputer Vol 14, No 2 (2024)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v14i2.25498

Abstract

Era globalisasi dan kebangkitan generasi milenial ini Indonesia telah mengalami lonjakan konsumsi energi di tengah munculnya Industri 4.0. Namun, ketergantungan yang besar pada sumber energi tak terbarukan, seperti bahan bakar fosil dan batubara, telah menyebabkan penipisan yang cepat dan konsekuensi lingkungan, termasuk polusi udara dan air. Untuk mengatasi tantangan ini, integrasi sumber energi terbarukan, khususnya energi surya, telah muncul sebagai solusi mutakhir. Studi ini menyajikan pengembangan dan evaluasi prototipe Triptonic Tracking System pada Panel Surya Thin film. Tujuannya adalah untuk membuat prototipe, menilai efisiensi panel surya thin film dengan Sistem Pelacakan Triptonic, dan memaksimalkan pemanfaatan energi matahari melalui teknologi pelacakan inovatif ini. Metodologi penelitian melibatkan dua mode pengujian: Otomatis dan Manual. Selama mode Otomatis, Sistem Pelacakan Triptonik secara otomatis menyelaraskan panel surya dengan posisi matahari, sedangkan mode Manual memungkinkan penyesuaian manual berdasarkan sudut azimuth matahari. Pengukuran arus, tegangan, suhu lingkungan, dan intensitas cahaya dilakukan selama pengujian. Hasil menunjukkan bahwa Sistem Pelacakan Triptonic secara efektif mengikuti sudut matahari selama mode Otomatis, dan mode Manual memungkinkan penyesuaian manual yang fleksibel. Prototipe mencapai tegangan maksimum 4,1080 V selama mode Manual, dengan output daya rata-rata 1,351 watt dan intensitas cahaya rata-rata 123148,75 Candela. Selanjutnya, panel surya Thin film menunjukkan efisiensi 1,801% selama mode Manual. Temuan menunjukkan bahwa Sistem Pelacakan Triptonik menjanjikan untuk meningkatkan efisiensi panel surya secara signifikan.
Implementasi Layanan Broadband Network Gateway Dengan Mengoptimalkan Perangkat Metro Ethernet Menggunakan Metode BGP, VPRN, dan Subscriber Management (BVSM) Zein, Hans Mochammad; Firdausi, Ahmad
InComTech : Jurnal Telekomunikasi dan Komputer Vol 15, No 1 (2025)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v15i1.25594

Abstract

Penelitian ini bertujuan untuk mengeksplorasi potensi perangkat router metro ethernet (Nokia 7750 SR-7) dalam menyediakan layanan Broadband Network Gateway (BNG) dengan mengimplementasikan metode BGP, VPRN, dan Subscriber Management (BVSM). Metode BVSM menunjukkan keberhasilan perangkat metro ethernet dalam pengelolaan subscribers BNG dengan transisi yang efisien dari penggunaan service layer 2 (VPLS) ke service layer 3 (VPRN). Konfigurasi parameter tambahan yang diperlukan pada service VPRN, seperti policy-option, local DHCP server, dan subscriber interface memastikan optimalitas layanan BNG pada perangkat metro-ethernet. Evaluasi potensi keuntungan dari implementasi layanan BNG pada perangkat metro-ethernet menunjukkan peningkatan pada efisiensi jaringan dan pengurangan titik kegagalan dengan tidak perlu lagi digunakannya perangkat Broadband Remote Access Server (BRAS) untuk mengelola layanan BNG. Dengan manajemen layanan BNG yang lebih terpusat di perangkat metro ethernet, proses operasional dan maintenance dapat dilakukan dengan efektif, meningkatkan kualitas layanan dan manajemen pelanggan secara menyeluruh dengan cara mengoptimalkan alokasi IP Pool, monitoring user session, dan mengatasi gangguan layanan dengan lebih cepat.
Neural Network Approach Using PyTorch to Predict the Growth of Various Types of Plants Silaban, Freddy Artadima; Firdausi, Ahmad
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3884

Abstract

In the era of rapid technological advancement, agriculture faces increasing challenges in optimizing production efficiency and managing resources sustainably. In Indonesia, various plant types are essential agricultural commodities, yet their productivity is often disrupted by erratic weather, poor land management, pest infestations, and land-use change. This study proposes a predictive model for plant growth using a neural network implemented in the PyTorch framework, integrating multiple environmental features such as temperature, humidity, soil moisture, nutrients, pH, and NPK levels. Unlike previous works that typically focus on specific crops or limited variables, this research introduces a multivariate approach combining diverse agro-environmental data to classify plant types accurately. The model architecture was tuned using GridSearchCV, resulting in optimal hyperparameters (e.g., batch size 32, learning rate 0.001, activation: tanh), achieving high performance with Area Under the Curve (AUC) values nearing 1.0 across most classes. Visualization of network weights reveals how input features are transformed through hidden layers, providing interpretability and transparency in decision-making. The proposed system demonstrates strong generalization capability, as validated on unseen data, and offers real-time prediction feasibility for deployment on edge devices such as NVIDIA Jetson Nano. This work contributes a novel, data-driven approach to smart agriculture by enabling precise growth prediction across multiple plant types, enhancing strategic planning for resource allocation and crop management. Future work includes model adaptation for time-series forecasting and validation with live sensor inputs in real-world agricultural environments.
Adaptive multi-radio quality of service model using neural network approach for robust wireless sensor network transmission in multipath fading environment Hakim, Galang Persada Nurani; Astuti, Dian Widi; Firdausi, Ahmad; Majid, Huda A.
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i4.pp3795-3802

Abstract

Wireless sensor network loss in wireless data transmission is one of the problems that needs attention. Interference, fading, congestion, and delay are some factors that cause loss in wireless data transmission. This paper used an adaptive multi-radio model to enhance the wireless data transmission to be more robust to disturbance in a multipath fading environment. A neural network approach was used to generate the adaptive model. If we use 433 MHz as our carrier frequency with 250 kHz bandwidth and 12 spreading factors, we can get signal noise ratio (SNR) for 20 meters at about -9.8 dB. Thus, we can use the adaptive model to enhance the WSN wireless data transmission's SNR to 9 dB, automatically changing the radio configuration to 797.1 MHz frequency, with 378.1 bandwidth and 7.111 for spreading factor. Based on the result, the wireless data transmission link has been successfully enhanced using the proposed adaptive model for wireless sensor networks (WSN) in a multipath fading environment.
The Influence of Service Quality, Green Customer Value, and Green Brand Awareness on Green Customer Loyalty Through Customer Satisfaction Within Sidoarjo Eiger’s Customer Firdausi, Ahmad; Yani, Muhammad; Hariasih, Misti
Jurnal Manajemen (Edisi Elektronik) Vol. 16 No. 3 (2025): Jurnal Manajemen (Edisi Elektronik)
Publisher : UPT Jurnal & Publikasi Ilmiah SPs Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jm-uika.v16i2.19276

Abstract

The increasing awareness of environmental sustainability has intensified competition among brands offering eco-friendly products. The wide range of green product choices makes it easier for consumers to switch from one brand to another. Therefore, companies must be able to maintain customer loyalty. This study aims to analyze the influence of Service Quality, Green Customer Value, and Green Brand Awareness on Green Customer Loyalty, with customer satisfaction as a mediating variable. This research employs a descriptive quantitative approach, with the population consisting of Eiger consumers in Sidoarjo. The sample was selected using a non-probability sampling technique with the purposive sampling method, resulting in 96 respondents. Data analysis was conducted using the Partial Least Square (PLS) method with SmartPLS 3.0 software. The results indicate that Service Quality, Green Customer Value, and Green Brand Awareness significantly influence customer satisfaction, which in turn enhances Green Customer Loyalty.