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All Journal Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Jurnal JEETech Nucleus Journal
Dwi Ajiatmo
Universitas Darul Ulum
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : jurnal jeetech

 1 
Optimasi Kualitas Tenaga Listrik Di Area Banyuwangi Menggunakan Radio Gateway Over Internet Protocol Machrus Ali; Dwi Ajiatmo; Muhlasin
Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i2.3

Abstract

One of the communication problems at PLN is communication in areas that are not covered by radio frequencies. With the limitation related to radio frequency because the blankspot can have an impact on the speed of service, both in terms of recovering when disturbances occur, communication for coordination between officers, and maintenance work. Meanwhile, efforts to expand radio frequency coverage areas by building tower repeater links and BTS tower rentals require relatively large costs. Information technology that is developing now makes it easy for everyone to communicate through various media, one of which is an internet connection. Widespread development of infrastructure owned by telecommunications providers, the wider availability of internet connections in the blank spot area. To overcome the blank spot areas that have an impact on SAIDI and SAIFI, Radio Gateway Over Internet Protocol is used in the working area of ​​PT. PLN (Persero) Banyuwangi area that connects communication radios with mobile phones through the internet network. From the calculation using the average formula in the Microsoft Excel program the average value of SAIDI is better than before. Meanwhile, the average SAIFI score afterwards is also better than before. By using the T-Test test analysis it is known that the calculated t value is better, and for SAIFI it is known that the calculated SAIDI data is also better.
Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO) Machrus Ali; Hidayatul Nurohmah; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v3i1.3108

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.
Komparasi PID, FLC, dan ANFIS sebagai Kontroller Dual Axis Tracking Photovoltaic berbasis Bat Algorithm Hidayatul Nurohmah; Machrus Ali; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

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Abstract

Photovoltaic is a renewable electrical energy generator that is very suitable for tropical countries that get a lot of sunlight. However, this generator has low efficiency. To overcome this deficiency, several researchers have optimized the conventional dual-axis tracking solar method. Research is needed to optimize using artificial intelligence, in this case, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Bat Algorithm (BA). By comparing the performance of the model without control, conventional PID model, PID Auto tuning MatLab, Fuzzy Logic Controller (FLC) method, ANFIS method, and ANFIS-BA method. The simulation results show that the best model design on the horizontal axis and vertical axis dual tracking photovoltaic is ANFIS-BA with the smallest overshot, smallest undershot, and the fastest settling time of all model designs.
Metode Pengumpulan Data Debit Air Pada Saluran Distribusi Air PDAM Makassar Berbasis IoT Andi Imran; Nurul Azizah; Satria Gunawan Zain; Zulhajji; Dwi Ajiatmo
Jurnal JEETech Vol. 5 No. 2 (2024): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v5i2.5201

Abstract

Water is an important resource for human survival as well as various economic sectors. PDAM is responsible for providing water supply to the community. One of the major challenges faced in managing water supply is the problem of water loss or leakage. This research aims to overcome this problem by designing an innovative method to collect water discharge data on the distribution channel of PDAM Makassar using Internet of Things (IoT) technology. This method uses the ESP32-CAM to take images of the water meter on the main pipe and save it to a database. Optical Character Recognition (OCR) technology is used to convert the image into text that can be processed. The test results show that the average error in meter readings is 0.215% with an average accuracy rate of 98%. Overall the system works well in reading digital meters and is reliable in monitoring water consumption visually and in real-time. Thus, this method can be an effective solution in detecting water leaks and improving the efficiency of water supply management by PDAMs, as well as saving resources and operational costs.
Co-Authors Agus Raikhani Andi Imran Angga Yodhas Tangkara Arga Prabowo Aryo Hadi Wigantoro Budiman Febrian Rizal Anas Hari Sufitrihansyah Hendro Dripoyono Hidayatul Nurohmah Imam Robandi M Agil Haikal M. Teguh Proyoga Machrus Ali Mochamad Ali Fikri Haiqal Mochamad Ali Rofiq Muhammad Ade Yusuf Alghifrani Muhammad Ruswandi Djalal Muhlasin Nurul Azizah Rio Firmansyah Rizqi Nafiardli Rukslin Septa Dwi Candra Sunarto Sunarto Yanuangga Galahartlambang Zulhajji