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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Science and Physics Education Journal (SPEJ) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer International Journal of Engineering Continuity
Daratha, Novalio
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Long Range Flood Detection sebagai Antisipasi Dini dan Mitigasi Risiko Bencana Banjir di Provinsi Bengkulu Syahputri, Nasyah Wulandari; Santosa, Hendy; Daratha, Novalio
Science and Physics Education Journal (SPEJ Vol 7 No 2 (2024): SPEJ (Science and Physic Education Journal)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/spej.v7i2.8711

Abstract

Banjir merupakan bencana alam yang sering mengancam berbagai daerah dan mengakibatkan dampak serius terhadap masyarakat dan infrastruktur. Upaya pencegahan dan mitigasi diperlukan untuk mengurangi risiko dan mitigasi kerugian yang ditimbulkan. Penelitian ini menyoroti solusi potensial dengan memperkenalkan alat pendeteksi banjir menggunakan teknologi Long Range (LoRa) pada frekuensi 915MHz. Alat ini bertujuan memberikan informasi dini terkait kemungkinan terjadinya banjir, sehingga memungkinkan respons cepat untuk mengurangi risiko korban jiwa dan kerusakan fasilitas. Uji coba LoRa dilakukan dengan mencatat nilai RSSI dan SNR pada jarak 900 m dan ketinggian 1 m. Hasil pengujian menunjukkan nilai RSSI -112,73 dan SNR -1,32, menggambarkan performa komunikasi yang memadai pada jarak yang diuji. Tambahan, alat ini memanfaatkan Pembangkit Listrik Tenaga Surya (PLTS) untuk menyuplai energi ke sirine dan alarm, meningkatkan keandalan dan kemandirian sistem deteksi banjir. Kata Kunci : Banjir, Long Range, PLTS
Perbandingan Metode-Metode Deep Learning Dalam Prediksi Konsumsi Daya Listrik Rumah Jangka Pendek Daratha, Novalio; Wardana, Panca; Amri Rosa, Muhammad Khairul
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 14 No. 1 (2024): Amplifier Mei Vol. 14, No. 1 2024
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v14i1.34367

Abstract

The consumption of electrical power continues to increase every day, along with technological advances, the increase in the use of machines that depend on electricity and the growth of the human population. Prediction of electric power consumption is difficult due to various things such as weather conditions and dynamic behavior of residents. So to overcome this, deep learning methods are used, namely CNN (convolutional neural network), LSTM (long-short term memory), BDLSTM (bi-directional long short term memory), CNN-LSTM and CNN-M-BDLSTM with three stages. The first stage is fixing the missing value. The second stage performs data processing and building model from deep learning methods. The third stage evaluates the prediction results with error metrics. From the results of the analysis, the CNN method produces the smallest loss and training time of 0.0010 9/step ms, the LSTM and CNN-LSTM methods produce the largest loss of 0.0019 while the longest training time is 139/step ms in the BDLSTM method. Method The largest MSE, MAE, and MAPE values are 0.150, 0.258 and 0.176 respectively the results of the CNN method. The smallest MSE and MAE values are 0.082 and 0.174 the results of the BDLSTM method. While the smallest MAPE value obtained by the CNN-M-BDLSTM method is 0.148. This proves that the ability to predict short-term electric power consumption using the deep learning method has a good ability in terms of the error metric results.
Spatial Interpolation Long-Term Patterns Capacity of Solar Energy in Sumatera Vatresia, Arie; Utama, Ferzha Putra; Daratha, Novalio; Lestari, Etika Dwi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 3, August 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i3.1929

Abstract

Indonesia possesses considerable capacity for renewable energy as a result of its plentiful natural resources, including geothermal, solar, wind, hydro, and biomass. However, the nation's existing energy composition is predominantly dependent on non-renewable resources, with fossil fuels constituting approximately 95% of its overall energy consumption. Recently, Indonesia has made notable advancements in augmenting its renewable energy output in years. Nevertheless, there is still obscurity about the identification of suitable regions for the installation of solar power plants in order to facilitate the development of solar energy. This study employed a methodology to investigate and forecast the solar energy potential in Sumatra, Indonesia. The data utilized consists of MERRA-2 reanalyzing information spanning from 1980 to 2019, collected on a daily basis. The data is analyzed and shown using Inverse Distance Weighting and ARIMA techniques to visualize the spatial variation of solar energy potential in Sumatra. ARIMA is employed as a supplementary method to the interpolation technique in order to get long-term projections of solar energy potential for the period spanning from 2020 to 2029. The analysis of the best interpolation method for estimating solar energy potential reveals that the IDW approach with a power of 5 yields the most accurate findings, with an RMSE value of 28.33. For long-term prediction of solar potential in Aceh province, the ARIMA (1,0,0) method is recommended, which has a MAPE value of 0.0219. The findings indicated that Lampung and Bengkulu frequently experience the distribution of solar energy with an intensity ranging from 1400 to 1450 kWh. In addition, the forecast of the potential over Sumatera Island yielded encouraging results using the GAM model, with a root mean square error rate of 0.05103.
Pengembangan Perangkat Lunak Untuk Analisis Aliran Beban Tiga Fasa Pada Jaringan Tegangan Rendah Dengan Metode Newton Berbasis Calculus Wirtinger Harifin, Hayatul; Daratha, Novalio; Rosa, M. Khairul Amri
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 10 No. 2 (2020): Amplifier November Vol. 10, No. 2 2020
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v10i2.15318

Abstract

AbstractLoad flow analysis is a study to plan and determine the amount of power in an electric power system. During its development, industry requires a large amount of electric power and uses electrical equipment as a means of production. The benefits of an electric load flow analysis are to find out the amount of power in the electric power system whether it still meets predetermined limits, and to find out the amount of voltage at each point, and to obtain initial conditions for the new system planning. Load flow analysis begins calculating the active power and reactive power at each node (bus) installed, loading on the channel or conductor, the load flow calculation will be assisted using the Julia program. From the results of calculations using the Julia program, the voltage at each point with the smallest stress is obtained, namely the 10th point of 209.89 - j10.34V for phase A, -107.39 - j186.87V for phase B, -108.12 + j178,51V for phase CKey Words: Drop Voltage, Julia, Load Flow
RANCANG BANGUN ALAT PASTEURISASI NON THERMAL DENGAN PULSED ELECTRIC FIELD (PEF) Anggraini, Ika Novia; Simarmata, Elsara Krysti; Daratha, Novalio; Herawati, Afriyastuti; Rodiah, Yuli
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 11 No. 2 (2021): Amplifier November Vol. 11, No. 2 2021
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v11i2.16383

Abstract

ABSTRACTPackaged beverages have become a product that is very much on the market both internationally and nationally. In the process of making packaged beverages, in order to last longer the microbes in the drink must first be inactivated in order for the drink to last longer, the microbial inactivation process in the drink is called pasteurization. Convernsional pasteurization is done by heating the drink to be in production. But the high temperature of the drink can change the taste, color, and even nutrition of the drink. This is underpinning the non-thermal pasteurization process by using high voltage impulses (Pulsed Electric Field,PEF). PEF is a technology that utilizes high voltage DC to produce a field between two electrodes. Pateurization occurs when between electrodes there is milk that is flowed with high voltage DC. High voltage generation is performed using flyback transformers with voltage output up to 30 kV. In the pasteurization process given 6 voltage variations namely 5, 10, 12,5, 15, 20, and 30 kV. Pasteurization results are then tested in fmipa microbiology laboratory to find out the success of the tools that have been made. In each voltage variation it is obtained that all treatments have reached pasteurized milk quality standards based on SNI where at 5kV voltage variation can inactivat microbes up to 83.33%, voltage variation of 10kV can inactivat microbes up to 94.5%, At a voltage variation of 12.5 kV can inactivae microbes up to 83.6%, 15kV voltage variation can inactivae microbes up to 88.8%, while voltage variation of 20 kV can inactivae microbes up to 84.2% and at voltage variation 30 kV can inactivae microbes up to 84.8%.Key Words: PEF, Flyback Transformer, ZVS Driver, Pasteurization.
Sistem Kendali Suhu Mesin Tetas Telur Ayam Buras Menggunakan Kontroler PID dengan Metode Tuning Ziegler Nichols Open Loop Step Response Agustian, Indra; Prakoso, Dian S; Faurina, Ruvita; Daratha, Novalio
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 12 No. 1 (2022): Amplifier Mei Vol. 12, No 1 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v12i1.21535

Abstract

An egg incubator is a tool that helps the process of hatching eggs using an electric heater and is equipped with an egg rack that functions to evenly distribute the heat in the incubator. Good temperature control in the hatching process is something that greatly affects the hatching results. In this study, an egg incubator temperature control system was designed using the PID method with the Ziegler Nichols Open Loop Step Response tuning method. The control system is specifically for free-range chicken eggs which require a normal temperature of 37 °C-39 °C. The main control components are the microcontroller, the incandescent lamp heater, and the DHT22 temperature sensor. The open loop test shows a time delay of 20 seconds and a time constant of 385 seconds, so with the Ziegler Nichols open loop tuning method, the values of Kp = 23.1, Ki = 40, and Kd = 10. The test results show that the PID controller can control the temperature properly. In testing the hatching process within 21 days, the temperature control worked well, and the effect of changes in day and night temperature did not significantly affect the performance of the PID controller.
Optimal Phase Selection Of Single-Phase Appliances In Buildings Using String-Coded Genetic Algorithm Daratha, Novalio; Vatresia, Arie; Santosa, Hendy; Agustian, Indra; Suryadi, Dedi; Gupta, Neeraj
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4603

Abstract

Phase imbalance in buildings, primarily caused by single-phase loads and generation, leads to increased neutral current, voltage imbalance, reduced energy efficiency, and potential equipment damage. To address these challenges, an optimal phase selection method is proposed for single-phase loads and generation. This method integrates integer programming with a string-coded genetic algorithm (GA). The GA employs string encoding to represent phase connections. Initially, a Mixed Integer Programming (MIP) solver identifies an initial solution, which is subsequently transformed into a string to initialize the GA’s genes. Subsequently, the GA executes standard operations such as mutation, crossover, evaluation, and selection. Case studies demonstrate the efficacy of this method in achieving substantial load balancing. Notably, the identification of multiple solutions with identical objective function values renders this approach suitable for smart buildings equipped with energy management systems that participate in ancillary services between low-voltage and medium-voltage networks. This research pertains to the domains of computer science, power engineering, and energy informatics.
Pengembangan Potensi Usaha Mikro Kecil dan Menengah (UMKM) melalui Pemanfaatan Teknologi Informasi dengan Pelatihan Sistem Pembayaran Digital Renaningtias, Nurul; Daratha, Novalio; Khairul Amri Rosa, Muhammad
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i2.2768

Abstract

Saat ini sistem pembayaran digital menjadi semakin populer dan diterima secara luas seiring dengan berkembangnya teknologi dan penggunaan internet yang semakin meluas. Penggunaan sistem pembayaran digital menjadi sangat penting dalam meningkatkan efisiensi, kecepatan, dan kemudahan dalam transaksi bisnis. Namun sayangnya, masih banyak Pelaku Usaha Mikro, Kecil dan Menengah (UMKM) di Sawah Lebar Baru belum memahami cara menggunakan sistem pembayaran digital sehingga kesulitan dalam mengadopsi teknologi dan mengoptimalkan pemanfaatannya. Tujuan kegiatan ini adalah memberikan penyuluhan dan sosialisasi mengenai sistem pembayaran digital serta memberikan pendampingan dalam penggunaannya. Kegiatan ini dilaksanakan dengan menggunakan metode ceramah, diskusi, dan praktek langsung. Berdasarkan evaluasi yang dilakukan, kegiatan ini memberikan manfaat dalam meningkatkan pemahaman literasi digital bagi pelaku UMKM di Sawah Lebar Baru dan meningkatnya jumlah pelaku UMKM yang menggunakan sistem pembayaran digital dalam mengembangkan usaha dan bisnisnya.
Genetic Algorithm-Based Contingency Ranking for the 500 kV JAMALI Interconnection System Priyadi, Irnanda; Daratha, Novalio; Rodiah, Yuli; Anggraini, Ika Novia; Sutradi, Tri; Sri Wahyuni, Ade; Reza Razali, Makmun
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.332

Abstract

The performance of an electric power system is strongly tied to how well it can handle disturbances. In daily operation, one of the most frequent and serious disturbances is the loss of a transmission line. When a line trips, its load must be shared by the rest of the network. Sometimes this redistribution is harmless, but in stressed conditions it can create overloads and trigger further outages. To reduce this risk, system operators rely on contingency analysis. The (N-1) criterion, which considers the effect of losing a single component, is the most common standard. However, when applied to a large network, the number of cases becomes very high, and the analysis can be time-consuming. In this work, contingency ranking using a Genetic Algorithm (GA) is studied for two systems: the IEEE 30-bus test grid and the 500 kV Java–Madura–Bali (JAMALI) interconnection in Indonesia. The GA follows the usual cycle of initialization, selection, crossover, mutation, and fitness evaluation, with the Voltage Performance Index (VPI) used to measure severity. Different parameter settings were tested. The results show that line 36 (bus 28–27) is most critical in the IEEE 30-bus system with a VPI of 56.5915, while line 35 (Bangil–Paiton) is most critical in the JAMALI system with a VPI of 95.3947. These outcomes highlight the usefulness of GA in identifying vulnerable transmission lines.
Co-Authors Agustian, Indra Amri Rosa, Muhammad Khairul Anggraini, Ika Novia Arie Vatresia Dedi Suryadi Faurina, Ruvita Gupta, Neeraj Harifin, Hayatul Herawati, Afriyastuti Irnanda Priyadi Khairul Amri Rosa, Muhammad Lestari, Etika Dwi Nurul Renaningtias, Nurul Prakoso, Dian S Reza Razali, Makmun Rodiah, Yuli Rosa, M. Khairul Amri Santosa, Hendy Simarmata, Elsara Krysti Sri Wahyuni, Ade Sutradi, Tri Syahputri, Nasyah Wulandari Utama, Ferzha Putra Wardana, Panca