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Tarmizi Tarmizi
Universitas Syiah Kuala
Agriculture, Biological Sciences & Forestry 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 Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Penerapan Model Problem Based Learning pada Materi Alat-Alat Optik untuk Meningkatkan Kepercayaan Diri dan Kemampuan Menyelesaikan Masalah Kontekstual Sri Mulyani; Abdul Gani; Muhammad Syukri; Tarmizi Tarmizi; Elisa Elisa; Nurhasanah Nurhasanah; Fajriani Fajriani
Jurnal Pendidikan Sains Indonesia Vol 8, No 1 (2020): APRIL 2020
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.801 KB) | DOI: 10.24815/jpsi.v8i1.15666

Abstract

Peserta didik sulit memahami materi alat-alat optik dipengaruhi oleh rendahnya pemahaman dalam penguasaan materi. Hal ini dikarenkaan gaya mengajar guru masih dominan menggunkan model teacher center sehingga peserta didik tidak terlibat aktif pada proses pembelajaran dan menimbulkan kurangnya rasa kepercayaan diri pada peserta didik dalam menyelesaikan masalah konstektual fisika dengan menggunakan model problem based learning pada materi alat-alat optik. Metode penelitian yang digunakan adalah pre-experimental dengan desain “control group pretest-posttest design”. Sampel dalam penelitian ini adalah kelas XI IPA 3 sebagai kelas eksperimen sebanyak 30 peserta didik. Pengumpulan data dilakukan dengan pretest- posttest untuk mengukur kemampuan menyelesaikan masalah konstektual dan angket untuk menilai kepercayaan diri peserta didik. Penelitian ini menggunakan one group pretest-posttest design. Hasil analisis nilai rata-rata pretest sebesar 50,07 dan posttest sebesar 75,77 dengan perolehan N-gain 0,51 yang tergolong kategori sedang. Uji signifikan dilakukan dengan menggunakan uji-t setelah data berdistribusi normal. Hasil uji t menunjukkan thitung ttabel (12,055 2,045) sehingga terdapat perbedaan nyata. Hasil analisis kepercayaan diri diperoleh peningkatan setelah menerapkan model problem based learning didapatkan bahwa indikator keyakinan akan kemampuan diri 81,77%, optimis 83,67%, obyektif 88,75%, bertangggung jawab 86,94%, dan rasional 88,85%. Hasil penelitian menunjukkan bahwa model problem based learning dapat meningkatkan kemampuan menyelesaikan masalah konstektual fisika dan kepercayaan diri peserta didik pada materi alat-alat optik.
Pemenuhan Hak Narapidana Laki-Laki di Lembaga Pemasyarakatan Banda Aceh Mahfud Mahfud; Rizanizarli Rizanizarli; Mukhlis Mukhlis; Tarmizi Tarmizi; Ainal Hadi
Kanun Jurnal Ilmu Hukum Vol 16, No 3 (2014): Vol. 16, No. 3, (Desember, 2014)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This article aims to explore the fulfilment of males’ prisoner rights at the Correctional Service Centre Banda Aceh. The indicators used to measure it are registration process, accommodation, sanitary facilities, clothes and beds, sport, health service, abuse by the guards, interaction with outside, worship facilities, case information, complain of prisoners, workshop, education and prisoners’ separation. The research reveals that the availability of clothes and beds, health service, education and prisoners’ separation at the centre are not maximally provided yet at the centre. The Fulfilment of Males’ Prisoner Rights at the Banda Aceh Correctional Service Centre
Sympathetic Trip Analysis in Distribution System of PLTU and PLTA Nagan Raya Muhammad Mizwar; Tarmizi Tarmizi; Ramzi Adriman
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 8, No 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.19791

Abstract

At the PT unit, PLN (Persero), there is an issue with the 20 kV electric power distribution system, such as feeder disruption. As a result, many felt sorry for the feeders of PLTA Krueng Isep and PLTU Nagan Raya, whose consumers were without power for extended periods of time. Of course, it can impact how well a business performs, particularly in terms of service and electrical revenue. In order to examine the causes of Sympathetic, study is required. In order to conduct the research, data on disturbances are gathered, tests are run, simulation results are analyzed using the ETAP application, non-directional relays are swapped out for directional relays, protection coordination is reset, and evaluation is done. The findings of this study have the potential to improve performance at PT. PLN (Persero) and decrease or even completely eradicate the incidence of sympathy in the 20 kV distribution network.
Systematic Literature Review on AI-Enhanced Dual-Axis Solar Tracking Systems: Techniques and Performance Analysis Muhammad Basyir; Yuwaldi Away; Tarmizi Tarmizi; Ira Devi Sara
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1553

Abstract

Recent advancements in artificial intelligence have significantly improved the performance of intelligent dual-axis solar-tracking systems, enabling more efficient photovoltaic (PV) energy harvesting under variable irradiance conditions, transient cloud cover, and mechanical uncertainties. This systematic literature review synthesizes 25 peer-reviewed studies (2018–2024) identified from Scopus and Web of Science using PRISMA 2020 procedures. We examine controller families (fuzzy logic, adaptive neuro-fuzzy interface system, deep reinforcement learning, and hybrid designs), sensing and actuation stacks (ephemeris, light sensors, inertial measurement, and computer-vision-based pose), and reported outcomes for tracking accuracy and energy gain. Across comparable conditions, AI-enabled controllers consistently reduce tracking error by ~10–35% and increase annual energy capture by ~8–25% relative to fixed-tilt or conventional rule-based/PID baselines, with the largest gains observed under partial shading and rapidly varying sky conditions. Validation is dominated by simulation, while prototype and hybrid (simulation plus field) evaluations—though fewer—provide stronger evidence of real-world robustness. Persistent challenges include computational cost on embedded hardware, sample-efficient learning and safety for field deployment, inconsistent reporting of metrics, and limited long-horizon testing. To address these gaps, we recommend (i) standardized benchmarking that reports tracking error, normalized energy yield, control latency and controller power, (ii) low-cost edge-AI implementations (model compression, quantization, and microcontroller-class deployment), and (iii) multi-season field trials with reproducible protocols across climates. The findings indicate a clear shift from static, hand-tuned control toward intelligent, adaptive methods. Hybrid designs emerge as a practical choice for deployment due to their combined stability and adaptability, whereas deep reinforcement learning shows state-of-the-art performance primarily in simulation and calls for careful simulation-to-real transfer. Overall, this review clarifies the evidence base and outlines priorities for fault-tolerant, low-cost, and real-time adaptive dual-axis solar tracking.
Effect of rotation on achieving constant voltage in three-phase self-excited induction generator for small scale wind turbines application Mahdi Syukri; Ahmad Syuhada; Tarmizi Tarmizi; Akhyar Akhyar
Jurnal Polimesin Vol 22, No 3 (2024): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i3.5279

Abstract

Three-phase Self-Excited Induction Generators (SEIGs) are commonly employed for electricity generation in remote or isolated areas. SEIGs are preferred in such regions due to their ability to create a magnetic field by adding a capacitor to one of their terminals. Nevertheless, a significant challenge in utilizing SEIGs is maintaining a consistent output voltage in the presence of load fluctuations. This study aims to investigate the impact of generator rotation on the SEIG's output voltage and determine the optimal rotation speed required for achieving a stable output voltage. Ensuring stable voltage regulation is crucial to guarantee the proper functioning of all loads connected to the SEIG. Furthermore, operating the SEIG in parallel with other generators is advantageous. The methodology employed in this study involves varying the load supplied by the SEIG at different capacitor values. Unwanted voltage variations occur due to load fluctuations within a generating system or SEIG. Adjustments to the generator's rotation speed are made to uphold a uniform voltage level. The variables considered in this study include the generator's rotation speed, capacitor size, and load fluctuations. Simulation results demonstrate that the SEIG's output voltage is affected by the generator's rotation speed, and maintaining a consistent voltage necessitates appropriate adjustments to capacitor values and generator speed. This research enhances understanding of SEIG characteristics and offers guidance on effective settings for maintaining a stable output voltage at various generator rotation speeds. Future research can focus on practically implementing these findings to enhance the performance of SEIGs in real-world applications
Heat Reduction on Light Emitting Diode Solar Simulator Cut Nurmuthaharah; Ira Devi Sara; Tarmizi Tarmizi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17983

Abstract

LED solar simulator converts electrical energy into light and heat. The resulting heat effect apply damage to the LED and affect performance and accuracy test. Despite being equipped with a heatsink and fan cooling system, the temperature of the LED solar simulator is still considerably quite high though it is necessary to lowered the temperature even further to increase its service life. One major challenge faced is the management of the heat generated by the LEDs. This article aims to investigate the effect of placing a copper pipe-based cooling system containing refrigerant R32 and Thermoelectric to reduce the temperature of the LED solar simulator by at least 10%. The use of thermoelectric cooler (type 12706) as an alternative cooling technology is safer for surrounding environment compared to vapor compression. Copper pipes were chosen for better conductivity, flexibility and better heat absorbance, meanwhile refrigerant R32 were chosen for it is environmentally friendly and possess a lower GWP. The test results illustrate the application of a copper pipe-based cooling system containing refrigerant R32 and thermoelectric succeeded in reducing the temperature of the LED solar simulator by 11,41% and increased the level of radiation uniformity from an average of 422 W/m² to 429 W/m² with a depreciation of non-uniformity of 0,84%. Thus, this very combination cooling system is proven effectively reducing the temperature of the LED solar simulator by at least 10%.
Co-Authors Adinda Hikmah Natari Adriman, Ramzi Ahmad Syuhada Ainal Hadi Akhyar Akhyar Amsal Amri Anggi Theresia Basyir, M. Cristina Natalia Rahmawat Cut Nurmuthaharah Devi Sara, Ira Elisa Elisa Fajriani Fajriani Gani, Abdul Lilis Sahyana Mahdi Syukri Mahfud Mahfud Muhammad Kevin Badarsyah Muhammad Mizwar Muhammad Syukri Mukhlis Mukhlis Nadia Indra Hidayati Nailul Authar Husaman Nanda Shava Widana Nurhasanah, Nurhasanah Rizanizarli, Rizanizarli Sri Mulyani Yusriadi Yusriadi Yuwaldi Away