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An ANP (Analytic Network Process)-based Multi-Criteria Decision Approach for The Selection of Sugar-Cane Industry Development Ferizandi Qauzar Gani; Ridho Hantoro
IPTEK Journal of Proceedings Series No 1 (2018): 3rd International Seminar on Science and Technology (ISST) 2017
Publisher : Institut Teknologi Sepuluh Nopember

Acknowledging the issue of energy sustainability, the sugar industry has begun to look at plans to sell electricity to address energy sustainability issues. A scenario with the potential to sell excess electricity motivates this research to analyze the strategies of the sugar industry development. In such situations an ANP approach is applied for the selection of appropriate strategies. This study analyzes the potential for electricity sales in two alternative plant development strategies of three sugarcane industries which from the results, Strategy A (cogeneration scheme) allows to sell electricity for 223-293 days while strategy B (independent power plant scheme) allows to sell throughout the year. The result also shows that by using ANP, it is found that strategy A is better than strategy B

Implementation of Ultrasonic Sensor as a Radar for Obstacle Detection Ahmad Suaif; Ferizandi Qauzar Gani
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

The Arduino UNO, ultrasonic sensor, servo motor, and Processing as visual software was used to create a low cost ultrasonic radar system that can detect and determine the location of an object, such as obstacles, in a short distance. Objects can be sensed up to 40 cm away from the ultrasonic sensor and the ultrasonic radar's angular rotation can detect objects from 15o to 165o and counterclockwise. The obstacle objects will be displayed in the computer panel by running the visual software. A comparative analysis of the distance error between the radar and the obstacles is used to assess the feasibility of the proposed system. The findings obtained from measurements of the obstacles are tabled to show that the planned design achieved a relatively small error, with 90% as the lowest accuracy.

Implementation of Ultrasonic Sensor as a Radar for Obstacle Detection Ahmad Suaif; Ferizandi Qauzar Gani
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v1i1.7

The Arduino UNO, ultrasonic sensor, servo motor, and Processing as visual software was used to create a low cost ultrasonic radar system that can detect and determine the location of an object, such as obstacles, in a short distance. Objects can be sensed up to 40 cm away from the ultrasonic sensor and the ultrasonic radar's angular rotation can detect objects from 15o to 165o and counterclockwise. The obstacle objects will be displayed in the computer panel by running the visual software. A comparative analysis of the distance error between the radar and the obstacles is used to assess the feasibility of the proposed system. The findings obtained from measurements of the obstacles are tabled to show that the planned design achieved a relatively small error, with 90% as the lowest accuracy.

Perancangan Sistem Deteksi Kebocoran Pipa Berbasis Internet of Things Azizah, Fadila Nur; G. Drantantiyas,, Nike Dwi; Gani, Ferizandi Qauzar
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 1 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n1.2764

This research discusses the implementation of a prototype system to detect leaks in water pipes using water flow and ultrasonic sensors, applied to a web-based Internet of Things (IoT) for real-time monitoring. The aim of this research is to identify pipe leaks analyzed against flow rate and pressure. The system is designed considering the system design analysis using hardware, software, and web interface design for data visualization and control. The results of this study show that the water flow and ultrasonic sensors have high accuracy and precision with low error rates. Functional testing of the system was carried out through several experiments, both with and without leaks, and showed that the system works well in monitoring flow rates and water levels. However, some discrepancies were found in the readings during leak testing, indicating the need for further evaluation of the sensor code. Overall, this research was successful with real-time data accessible through the web interface.

Perancangan Sistem Deteksi Kebocoran Pipa Berbasis Internet of Things Azizah, Fadila Nur; G. Drantantiyas,, Nike Dwi; Gani, Ferizandi Qauzar
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 1 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n1.2764

This research discusses the implementation of a prototype system to detect leaks in water pipes using water flow and ultrasonic sensors, applied to a web-based Internet of Things (IoT) for real-time monitoring. The aim of this research is to identify pipe leaks analyzed against flow rate and pressure. The system is designed considering the system design analysis using hardware, software, and web interface design for data visualization and control. The results of this study show that the water flow and ultrasonic sensors have high accuracy and precision with low error rates. Functional testing of the system was carried out through several experiments, both with and without leaks, and showed that the system works well in monitoring flow rates and water levels. However, some discrepancies were found in the readings during leak testing, indicating the need for further evaluation of the sensor code. Overall, this research was successful with real-time data accessible through the web interface.

Studi Perencanaan Pembangkit Listrik Hibrid di Kelompok Ternak Sukamaju II Gani, Ferizandi Qauzar; Mustaqim, Amrina; Maharsi, Retno; Iqbal Damara, Muhammad
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n2.2797

This study focuses on the generation of energy from biogas and solar power into electricity in Purwodadi Dalam Village. It focuses on assessing both technical and economic feasibility, alongside the environmental benefits of reducing greenhouse gas emissions. The findings indicate that hybrid power plants have the capability to generate 76.365 kWh/year, 132.812 kWh/year, and 17.062 kWh/year, utilizing readily available raw materials. From an economic perspective, the project is projected to achieve net present values of Rp.327.085.000 and Rp.726.808.000, a benefit-cost ratio of 1.99 and 3.21, and investment payback periods of 6 years 9 months and 3 years 15 days. Additionally, the project offers a significant reduction in emissions, with potential reductions of 618,894 tCO2/year, 618,894 tCO2/year, and 18.30 tCO2/year. These results suggest that the development of this renewable energy project is both technically and economically viable

Design and Construction of Automatic pH and Water Level Control in Tilapia Fish Farming Ponds Patwan Saputra; Christio Revano Mege; Ferizandi Qauzar Gani
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 8 No. 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v8i1.34353

This study presents the design and implementation of an automatic control system for regulating pH and water level in tilapia (Oreochromis niloticus) aquaculture ponds. The system integrates a pH sensor and an ultrasonic sensor (HC-SR04) with an ESP32 microcontroller to enable real-time monitoring and automated control through solenoid valves. Sensor calibration was performed using standard buffer solutions (pH 4.00, 7.00, and 10.00) based on potentiometric principles derived from the Nernst equation, resulting in high linearity and reliable measurement accuracy. Experimental evaluation demonstrates that the proposed system is capable of maintaining water quality parameters within the optimal range required for tilapia cultivation. The pH control system achieved its best performance with a settling time of 1950 s and a steady-state error of 0.93%, indicating stable and accurate regulation. For water level control, the system exhibited a settling time of 7570 s during the filling process and 2965 s during the draining process, both with negligible steady-state error, confirming high control precision. Although the system shows relatively slow dynamic response due to hydraulic and actuator limitations, the gradual adjustment is advantageous in aquaculture applications, where sudden environmental changes can negatively affect fish health. Overall, the developed system provides a low-cost, reliable, and practical solution for improving aquaculture management through automation. Future work should focus on implementing adaptive control algorithms, enhancing sensor performance, and integrating IoT-based monitoring platforms to support scalability and remote operation.

IoT-Based Continuity Analysis of Oil Pipeline Leakages Nadia Sri Melati Malau; Nike Dwi Grevika Drantantiyas; Ferizandi Qauzar Gani
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i2.33360

Oil pipeline leaks pose a serious challenge due to their potential to cause significant economic losses and severe environmental damage. These incidents can disrupt industrial operations and endanger nearby ecosystems and communities. Early detection and real-time monitoring are therefore essential for minimizing adverse impacts and enabling rapid response. This research develops an Internet of Things (IoT)-based oil pipeline leak monitoring system using integrated multi-sensor data collected from field-simulated scenarios, providing a realistic evaluation of system performance under near-operational conditions. The system incorporates an ultrasonic sensor (HC-SR04) to measure fluid levels, a temperature sensor (DS18B20) to detect thermal anomalies, and a pressure sensor to identify internal pressure fluctuations. Sensor data are wirelessly transmitted via a NodeMCU ESP32 microcontroller to a web-based dashboard for remote monitoring, while local readings are simultaneously displayed on an LCD screen for on-site observation. The system was evaluated through controlled experiments simulating variations in pressure, temperature, and induced leak conditions. Results showed that the system achieved over 95% accuracy in leak detection, with a response time of less than 60 seconds upon leak initiation. The flow rate deviations under leak conditions exceeded the ±3% detection threshold, triggering real-time alerts. In non-leak scenarios, flow rates remained steady between 1.5–2.1 L/min, with tank level variations within 1 cm, confirming strong mass balance and stability. Overall, the developed IoT-based monitoring platform demonstrated high reliability and effectiveness in real-time leak detection, enabling faster response and significantly reducing potential environmental and operational impacts.

PENERAPAN TEKNOLOGI OTOMASI PADA BUDIDAYA IKAN BERBASIS INTERNET OF THINGS DI SMA NEGERI 6 METRO Christio Revano Mege; Ferizandi Qauzar Gani; Chalida Syari; Friska Hasugian; Jodes Parasian Simatupang
Jurnal Pengabdian pada Masyarakat Kepulauan Lahan Kering Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Edisi April 2026
Publisher : Pergizi Pangan DPD NTT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51556/jpkmkelaker.v7i1.455

Kelompok Ilmiah Remaja SMA Negeri 6 Metro sempat melakukan budidaya ikan sebagai salah satu bentuk kegiatan Projek Penguatan Profil Pelajar Pancasila (P5) dengan tema Gaya Hidup Berkelanjutan. Namun kegiatan budidaya ikan tersebut tidak berlanjut karena keterbatasan teknologi sehingga lahan yang sebelumnya dijadikan kolam ikan menjadi tidak terpakai lagi. Kegiatan PKM ini bertujuan untuk revitalisasi kegiatan P5 melalui pengenalan teknologi otomasi berbasis Internet of Things (IoT) pada budidaya ikan Nila. Kegiatan PKM dimulai dengan sosialisasi dan dilanjutkan dengan kegiatan diseminasi dan pelatihan dasar-dasar budidaya ikan air tawar sistem bioflok kolam, pemberian pakan, pemeliharaan kesehatan, pemantauan kualitas air serta perancangan sistem otomasi IoT menggunakan mikrokontroler ESP32 dengan sensor pH, TDS, dan ketinggian. Tahap selanjutnya yaitu penerapan teknologi melalui pemasangan kolam, persiapan bioflok, penebaran 500 benih ikan nila, pengoperasian sistem otomasi terhubung internet, serta instalasi aplikasi pemantauan real-time dan pengendalian otomatis pakan serta pergantian air melalui smartphone setiap siswa mitra. Siswa juga dilatih untuk mengemas ikan pasca panen menggunakan vacuum sealer. Hasil dari kegiatan PKM ini yaitu (1) meningkatnya pengetahuan dan keterampilan mitra >100% dalam penerapan teknologi pemantauan berbasis Internet of Things, penerapan Teknologi otomasi dan penerapan teknologi bioflok; (2) Terfasilitasi 2 unit kolam bioflok yang dilengkapi dengan sistem pemantauan dan otomasi berbasis Internet of Things; (3) Terfasilitasi 500 ekor bibit ikan Nila dan pakan ikan untuk 2 siklus panen; (4) Terfasilitasi 1 unit baterai dan inverter sebagai daya cadangan ketika listrik mati, dan (5) Terfasilitasi 1 unit freezer dan 1 unit vacuum sealer untuk pengemasan dan penyimpanan pasca panen.

Pengembangan Model Prediksi Daya Surya Jangka Pendek Menggunakan Ensemble Random Forest dengan Rekayasa Fitur Temporal Christio Revano Mege; Ferizandi Qauzar Gani; Septia Eka Marsha Putra; Friska Hasugian
sudo Jurnal Teknik Informatika Vol. 5 No. 3 (2026): Edisi September
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v5i3.1998

Ketersediaan listrik di wilayah terpencil Indonesia masih menghadapi tantangan akibat ketergantungan pada generator diesel dan sifat intermiten energi surya. Penelitian ini bertujuan mengembangkan model prediksi daya panel surya jangka pendek berbasis Random Forest multi-output dengan memanfaatkan data historis tiga jam untuk meramalkan keluaran daya pada horizon 30 menit ke depan. Data diperoleh dari sistem panel surya 50 Wp yang dilengkapi sensor arus, tegangan, dan suhu, direkam setiap 10 detik selama periode 1 bulan. Setelah pra-pemrosesan dan resampling ke resolusi satu menit, dilakukan rekayasa fitur meliputi komponen waktu siklik, lag features, statistik bergerak, serta diferensiasi. Dataset supervised dibentuk melalui pendekatan sliding window, di mana model memanfaatkan data historis selama 180 menit sebagai input untuk meramalkan keluaran daya pada horizon 30 menit ke depan. Kemudian model dilatih menggunakan MultiOutputRegressor dengan 100 pohon keputusan. Hasil evaluasi menunjukkan bahwa model mampu mencapai nilai R² hingga 0,94 pada sampel terbaik, dengan MAE dan RMSE yang masih berada pada rentang dapat diterima untuk aplikasi mikrogrid skala laboratorium. Prediksi pada horizon menit ke-5 hingga ke-15 cenderung lebih akurat dibandingkan horizon ke-30. Model ini menawarkan keseimbangan antara akurasi, interpretabilitas, dan efisiensi komputasi, sehingga berpotensi mendukung pengelolaan energi proaktif pada sistem mikrogrid berbasis surya di wilayah terpencil. Pengembangan lebih lanjut disarankan melalui penambahan variabel meteorologi eksternal dan pendekatan hibrida untuk meningkatkan kinerja pada kondisi cuaca dinamis.

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