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Habib Satria

Universitas Medan Area

Author-ID : 1417232

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Analisis Performa Metode Logistic Regression dalam Memprediksi Suhu Panel Surya Model Terapung Berbasis Arduino Fajar; Habib Satria
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.1056

Energi surya merupakan salah satu sumber energi terbarukan dengan potensi besar di Indonesia karena letak geografisnya yang berada di daerah tropis dengan intensitas cahaya matahari tinggi sepanjang tahun. Namun, panel surya konvensional masih menghadapi kendala, seperti fluktuasi cuaca, perubahan posisi matahari, serta suhu berlebih pada sel surya yang menurunkan efisiensi konversi energi. Mengatasi hal ini, penelitian ini mengusulkan sistem panel surya terapung berbasis Arduino Uno. Metode Logistic Regression (LR) digunakan untuk memprediksi performa konversi energi dengan mempertimbangkan intensitas cahaya matahari dan suhu sel surya. Hasil evaluasi menggunakan Metode Logistic Regression (LR) dalam memprediksi suhu permukaan sel surya menunjukkan akurasi model sebesar 93,3%. Berdasarkan confusion matrix, pengujian diperoleh data precision 97% dan recall 95% dengan f1-score 0,96. Nilai macro average (precision 0,88, recall 0,91, f1-score 0,90) dan weighted average (precision 0,94, recall 0,93, f1-score 0,93), model bekerja sangat baik meskipun masih perlu perbaikan dalam mengenali kelas minoritas. Kemudian data pengujian konversi energi pada grafik daya panel menunjukkan fluktuasi seiring perubahan intensitas cahaya antara pukul 11:00 hingga 13:00 WIB, dengan daya puncak 114,2 Wp. Secara keseluruhan, sistem terbukti mampu menghasilkan daya listrik stabil dan optimal, sehingga potensial diterapkan untuk mendukung penyediaan energi berkelanjutan. Solar energy is a renewable energy source with great potential in Indonesia due to its geographical location in tropical areas with high sunlight intensity throughout the year. However, conventional solar panels still face obstacles, such as weather fluctuations, changes in the sun's position, and excessive temperatures on solar cells that reduce energy conversion efficiency. To overcome this, this study proposes a floating solar panel system based on Arduino Uno. The Logistic Regression (LR) method is used to predict energy conversion performance by considering sunlight intensity and solar cell temperature. The evaluation results using the Logistic Regression (LR) method in predicting solar cell surface temperature show a model accuracy of 93.3%. Based on the confusion matrix, the test obtained 97% precision and 95% recall data with an f1-score of 0.96. The macro average value (precision 0.88, recall 0.91, f1-score 0.90) and weighted average (precision 0.94, recall 0.93, f1-score 0.93), the model works very well although it still needs improvement in recognizing minority classes. Energy conversion test data on the panel power graph then showed fluctuations with changes in light intensity between 11:00 AM and 1:00 PM WIB, with a peak power of 114.2 Wp. Overall, the system has proven capable of producing stable and optimal electrical power, making it potentially applicable to support sustainable energy provision.

Kelas Tenda Bencana (Kedana): Penerapan Model Pembelajaran Aktif Bagi Siswa Yang Terdampak Banjir bagi Sekolah-sekolah Di Kabupaten Deli Serdang Dan Kabupaten Langkat Dedi Sahputra; Nadra Ideyani Vita; Ria Wuri Andary; Mulkan Andika Situmorang; Hartono Hartono; Habib Satria; Zulkarnain Lubis; Retna Astuti Kuswardani
Pelita Masyarakat Vol. 7 No. 2 (2026): Pelita Masyarakat Maret
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/pelitamasyarakat.v7i2.17222

The implementation of Community Service for Disaster Emergency Response (DPPM 2025) is themed "Disaster Tent Class (KENDANA)". This activity is a quick response to the impact of floods and landslides that disrupt the learning process in the Deli Serdang Regency and Langkat Regency areas. The implementation refers to the administrative and technical guidelines of the DPPM. The scope of activities includes: (1) coordination and mapping of needs with partners (schools and local governments), (2) survey of the condition of affected educational facilities, (3) implementation of emergency learning through "tent classes" and training for educators in Deli Serdang and Langkat, (4) monitoring, documentation, and handover of outputs (5) grants of emergency learning tents, study supplies and school uniforms to students (6) grants of complete drilled well packages (7) basic food assistance to the people of Sekoci Village, Besitang District, Langkat Regency. The educational materials applied are based on active and adaptive learning (ice breaking, educational games, strengthening literacy and basic numeracy) and are outlined in emergency learning modules. The activities were carried out at five schools across three districts in Deli Serdang and at one school in Sekoci Village, Besitang District, Langkat. A total of 187 students affected by the floods participated in the activities. The administrative and technical outputs submitted include emergency learning modules, participant attendance lists per location, photo and video documentation, and implementation reports per location. In substance, this program has succeeded in facilitating the return of structured learning activities at the primary and secondary levels at several locations and increasing the capacity of teachers in managing post-disaster learning.

Edukasi Kolektif Energi Bersih Kepada HME dan FKHMEI Sumut dalam Mewujudkan Kemandirian Energi Listrik Muhammad Fadlan Siregar; Habib Satria; Indri Dayana; Moranain Mungkin; Dina Maizana; Dewi Soleha; Muhammad Ikhwan Fahmi; Hermansyah Hermansyah
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 6 No. 1 (2026): Agustus 2026
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuaj.abdimas.v6i1.365

This community service activity is motivated by the importance of the role of electrical engineering students as agents of change in socializing renewable energy in the community. The Electrical Engineering Student Association (HME) and FKHMEI North Sumatra have great potential but still have limitations in the depth of theoretical understanding and the ability to analyze practical problems related to the energy transition. This community service program aims to equip 60 participants through collective education methods and interactive discussions to improve cognitive competence and problem-solving abilities in the field of New and Renewable Energy (EBT). Evaluation of the program's success was carried out quantitatively by comparing pre-test and post-test scores on various competency parameters. The results of the community service showed a very significant increase in competence in participants with all participant assessments. Before the activity, the average participant understanding score only ranged from 70 to 75. However, after the intervention was carried out, there was an impressive surge where the parameters of EBT Knowledge, Energy Transition Understanding, and EBT Understanding reached a perfect score (100). In addition, the problem analysis ability increased drastically by 25 points to 95, which reflects the maturity of students' critical thinking. This activity succeeded in totally transforming students' understanding, preparing them to become competent educators and ready to contribute to realizing an independent electricity environment in the North Sumatra region.

Complexity prediction model: a model for multi-object complexity in consideration to business uncertainty problems Rahmad B. Y. Syah; Habib Satria; Marischa Elveny; Mahyuddin K. M. Nasution
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5380

In a competitive environment, the ability to rapidly and successfully scale up new business models is critical. However, research shows that many new business models fail. This research looks at hybrid methods for minimizing constraints and maximizing opportunities in large data sets by examining the multivariable that arise in user behavior. E-metric data is being used as assessment material. The analytical hierarchy process (AHP) is used in the multi-criteria decision making (MCDM) approach to identify problems, compile references, evaluate alternatives, and determine the best alternative. The multi-objectives genetic algorithm (MOGA) role analyzes and predicts data. The method is being implemented to expand the information base of the strategic planning process. This research examines business sustainability along two critical dimensions. First, consider the importance of economic, environmental, and social evaluation metrics. Second, the difficulty of gathering information will be used as a predictor for making long-term business decisions. The results show that by incorporating the complexity features of input optimization, uncertainty optimization, and output value optimization, the complexity prediction model (MPK) achieves an accuracy of 89%. So that it can be used to forecast future business needs by taking into account aspects of change and adaptive behavior toward the economy, environment, and social factors.

Pengembangan Robot Pembersih Panel Surya Berbasis IoT dengan Navigasi Ultrasonik dan Kendali Auto-Pilot Terintegrasi Otomatis Muhammad Ikhsan Alhamdi; Habib Satria
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 4, No 2 (2025): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK), Juli
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v4i2.6919

Dust accumulation on photovoltaic surfaces can reduce incoming irradiance, making surface maintenance an important part of PV operation. This study develops an Internet of Things (IoT)-based solar panel cleaning robot prototype using a NodeMCU ESP8266, ultrasonic sensors, drive motors, a cleaning mechanism, and a 12 V power supply. The development process included hardware design, programming, cleaning-process testing, and distance-sensor validation. On a panel described in the source manuscript as “2 meters,” the cleanliness status changed from “dirty” at minutes 1–2 to “moderate” at minutes 3–5 and “clean” at minute 6, while the recorded system voltage remained 12 V. Ultrasonic-sensor measurements from 10 to 100 cm produced a mean absolute error of 1.3 cm and an MAPE of approximately 2.97% against ruler measurements. The results demonstrate basic navigation and cleaning functions. However, cleaning effectiveness on PV performance cannot yet be established because electrical output, dust mass, cleaned area, path completion, and IoT communication performance were not quantitatively measured.

Comparison of acrylic and zinc blade materials on the performance of Darrieus vertical axis wind turbine Dina Maizana; Andreas Tiopan Togatorop; Indri Dayana; Habib Satria; Muhammad Irwanto Misrun; Yanawati Yahya
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp2162-2171

The performance of vertical axis wind turbine is strongly influenced by blade characteristics, yet the effect of blade material on turbine performance remains relatively underexplored, particularly for small scale Darrieus type turbines. This study experimentally investigated the influence of acrylic and zinc blade materials on the aerodynamics and energy conversion performance of a three bladed Darrieus vertical axis wind Turbine. A laboratory-scale experimental setup was employed to evaluated turbine rotational speed, torque, and electrical power under a controlled wind speed of 4.3 m/s. The results demonstrate the blade material significantly affects the turbine’s ability to extract and convert wind energy. The acrylic blade turbine achieved a power coefficient (Cp) of 0.293 and an overall conversion efficiency 62.81%, compared with 0.208 and 47.11%, respectively, for the zinc bladed turbine. The acrylic configuration therefore provided approximately 25% higher overall performance than zinc configuration. These findings experimentally validate the importance of blade material selection in the design of small scale Darrieus wind turbines and indicate that acrylic can provide a more effective alternative to zinc for improving wind energy conversion under low speed operating conditions. The results provide practical guidance for material selection in the development of lightweight, low speed vertical axis turbines for decentralized and small scale renewable energy applications.

Co-Authors Abd Rahman Bin Dullah Abdillah, Aditya Ryan Adam Pangestu Adi Rahwanto Adly Zulqarnain bin Mohamad Agnes Angela Turnip, Yenny Ahmad Ridwan Alayubby, M. Fitra Aldhi, Muhammad Almoataz Youssef Abdelaziz Amsana Rachmani, Almeera Andreas Tiopan Togatorop Andri Basir Anwar Syahputra, Sofyan Anwar Syaputra, Sofyan Ardinan Maranatha Sembiring Aristo Hardinata Arnes Sembiring Arrazy Elba Ridha Arya Chandra Buana Lubis Arya Rudi Nasution Asmah Indrawati Aswardi Aswardi Ayu Fitriani Bayu Aditya Pratama Citra Rahmadhani Dadan Ramdan Dedi Sahputra Dewi Soleha Dian Inda Sari Dian Noviandri Dina Maizana Erianto Ongko Erniati Panjaitan, Christin Fadhilla Azmi Fadhillah Azmi, Fadhillah Fajar Fardhan Arkan Gali Triyani Gea, Muhammad Nasri Grace Boni A Turnip Hadi Nasbey Hafiz Hafiz Hanalde Andre Hanani Hutabarat, Jamina Hartono Hartono Hartono Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Hermansyah Hermasnyah Ikhwana Elfitri Ilham Maulana Ilham Wahyudi Indawan, Isnanda Indra Hermawan INDRA HERMAWAN Indri Dayana Ios Jakub Sitompul Iqbal Giffari Ritonga Irwanto Misrun, Muhammad Irwanto, Muhammad Ismail, Baharuddin Jaka Windarta Jeddah Yanti Juni Ismail Jusoh, Muzzammil Lubis, Arya Chandra Buana M. Irwanto M. Khahfi Zuhanda M. Yonggi Puriza Mahdi Syukri Mahliza Nasution Mahmud Basuki Mahyuddin K. M. Nasution Marischa Elveny Martha Rianna Mendarissan Aritonang Michael Owen Sihotang Moranain Mungkin Mual Gunawan Lubis, Mangara Muhammad Fadlan Siregar Muhammad Fadlan Siregar Muhammad Ghaffaar Ramadhan Muhammad Idris Muhammad Ikhsan Alhamdi Muhammad Ikhwan Fahmi Muhammad Iqbal Muhammad Irwanto Muhammad Irwanto Muhammad Irwanto Misrun Muhammad Khahfi Zuhanda Muhathir, Muhathir Mulkan Andika Situmorang Mungkin, Moranaim Muzamir Isa Nadra Ideyani Vita Nainggolan, Marco Polo Nasaruddin Nur Hasibuan Ninny A Siregar Nuril Mahda Nurwijayanti Parluhutan Panjaitan Permata Sari Siregar, Ade Prasetya, Hardi Princent M.R Simanullang Puspita Sari, Mega PUTRA - IRWANDI Putra, Ghiri Basuki Putri, Rizka Meliani Rahmad B.Y Syah Rahman, Sayuti Rana Fathinah Ananda Retna Astuti Kuswardani Ria Wuri Andary Ridwan Arrasyid Rika Rosnelly, Rika Ritonga, Brilliyan Sanzes Rudi Salam Rudi Salam Rudi Salam Ruztamreen Bin Jenal Sari, Mega Puspita Sebayang, Youstra Sembiring Maha, Denny Hasminta Siburian, Dani Lamada Sihombing, Rotua Sijabat, Tonggo Silaban, Landong Siregar, M. Fadlan Suswati Suswati Suwarno Suwarno Syafii . Syafii Syafii Syafriwel, Syafriwel Syah Rinal Efendi Syah, Rahmad B. Y. Syah, Rahmad B.Y Syarifah Muthia Putri Tammamah Lubis, Hartati Timoteus Gultom, Togar Tino Hermanto Triana, Cut Riska Vina Winda Sari Vitral JR Wanayumini Wando Pratama Siregar, Regi Welly Yandi Wibisono, Anggih Prasetyo WINATA, SATRIA ANANDA Yahya, Yanawati Binti Yanawati Yahya Yandi Anzari Yandi, Welly Yenny Agnes Angela Turnip Yoga Tri Nugraha Yopan Rahmad Aldori Yuan Anisa Yuana Delvika Yudi Daeng Polewangi Zakaria, Zulkarnay Zulkifli Bahri, Zulkifli

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