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Urgensi Utusan Khusus Presiden Berdasarkan Perpres No. 137 Tahun 2024 Perspektif Fiqh Siyasah Askana Fikriana; Muhammad Irwanto; Sri Sulistiya
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 3 No 3 (2025): 2025
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v3i3.1465

Abstract

Pembentukan tujuh utusan khusus presiden dalam Kabinet Merah Putih di era pemerintahan Presiden Prabowo Subianto menimbulkan dinamika baru dalam struktur kelembagaan negara. Keberadaan lembaga non-struktural ini, yang bidang tugasnya menyerupai kementerian, menimbulkan pertanyaan mengenai urgensi dan legitimasi yuridisnya. Penelitian ini bertujuan untuk menganalisis fungsi dan peran utusan khusus presiden dalam konteks hukum positif Indonesia serta meninjau urgensinya melalui pendekatan fiqh siyasah, khususnya dalam kerangka konsep wazir al-tanfidz yang dikemukakan oleh Imam al-Mawardi. Metode yang digunakan adalah penelitian hukum normatif dengan pendekatan konseptual, perundang-undangan, dan analitis. Hasil penelitian menunjukkan bahwa keberadaan utusan khusus presiden sah secara hukum selama tidak melanggar batas kewenangan kementerian, dan dalam perspektif fiqh siyasah, lembaga ini dapat dikategorikan sebagai pelaksana teknis yang bertugas menjalankan amanah politik kepala negara. Implikasi dari temuan ini menekankan pentingnya regulasi pelaksana yang jelas agar tidak terjadi tumpang tindih kewenangan serta perlunya pengawasan terhadap kinerja lembaga non-struktural ini agar sejalan dengan prinsip good governance
Optimization of Smart Building Electrical Load Prediction Using Long Short-Term Memory Ali Aqil; Nugraha, Yoga Tri; Sumita Wardani; Mawardi; Muhammad Irwanto
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v13i1.4589

Abstract

The advancement of smart building technologies requires energy management systems that are both efficient and capable of adapting to dynamic operational conditions. A key component of such systems is reliable electrical load forecasting, as building energy demand is affected by environmental conditions, occupancy behavior, and operational activities that exhibit nonlinear and time-dependent characteristics. This study explores the use of the Long Short-Term Memory (LSTM) approach for forecasting smart building electricity consumption based on multivariate time-series data. The input dataset incorporates temporal features, ambient temperature, humidity levels, occupancy-related patterns, and major electrical load components within the building. The research workflow consists of data preprocessing, normalization, time-series construction using a sliding window strategy, LSTM model training, and evaluation of forecasting performance. The findings indicate that the building’s electricity demand varies approximately between 6 kW and 17 kW, with an average load ranging from 11 to 12 kW. Performance assessment yields an RMSE of about 3 kW and a MAPE of roughly 25%. The largely symmetric error distribution around zero suggests minimal systematic bias in the predictions, although the model’s accuracy during peak demand periods remains limited.
Konverter Penguat DC-DC Bertenaga Fotovoltaik Berdasarkan Pengontrol PID Untuk Sistem Pengisian Baterai Giojol Bastanta Bangun; Muhammad Irwanto
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v5i3.5726

Abstract

Penelitian ini mengusulkan pengembangan dan evaluasi konverter penguat DC-DC bertenaga fotovoltaik dengan pengontrol Proporsional-Integral-Derivatif (PID) untuk sistem pengisian baterai yang efisien dan stabil. Sistem fotovoltaik (PV) menghadapi tantangan fluktuasi daya keluaran akibat variasi iradiasi matahari dan suhu, yang memerlukan konverter DC-DC untuk menaikkan tegangan PV ke tingkat yang sesuai untuk pengisian baterai. Pengontrol PID berfungsi untuk menyesuaikan siklus kerja konverter, mengoptimalkan proses pengisian, dan memastikan tegangan keluaran yang stabil sebesar 14,7V meskipun ada variasi pada masukan daya PV. Metodologi penelitian ini menggunakan pendekatan kuantitatif berbasis simulasi numerik dengan MATLAB SIMULINK untuk pemodelan dan pengujian. Hasil simulasi menunjukkan bahwa pengontrol PID efektif dalam meredam osilasi tegangan dan arus, memungkinkan parameter listrik mencapai kondisi steady-state yang stabil dengan cepat. Konverter dirancang untuk menaikkan tegangan dari 12V modul PV menjadi 14,7V dengan daya keluaran 100W. Simulasi juga menunjukkan bahwa tegangan keluaran mencapai 14,69V dengan persentase kesalahan 0,068% dan daya keluaran 100,1W dengan persentase kesalahan 0,1% pada daya beban maksimum. Baterai timbal-asam 12V, 7 Ah dengan state of charge (SOC) awal 25% dapat mencapai kondisi terisi penuh dalam waktu 1 jam, 3 menit, 37 detik..
JND Reproducible Thermodynamic Modelling and Energy-Normalized Assessment of a Small-Scale Plastic Pyrolysis Reactor for PE, PP, and HDPE Waste Junaidi Amat Husin; Md Tasyrif Abdul Rahman; Muhammad Irwanto; Mohd Shukry Abdul Majid
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 8 No 2: August 2026
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0802.1091

Abstract

Pyrolysis offers a promising route for recovering liquid hydrocarbons from difficult-to-recycle polyolefin waste; however, small-scale reactor studies can provide incomplete assessment when reported oil production is not considered together with the thermal energy required to heat the feedstock, reactor hardware, and compensate for heat losses. This study develops a transparent and reproducible thermodynamic framework for a small-scale pyrolysis reactor processing polyethylene (PE), polypropylene (PP), and high-density polyethylene (HDPE). The model was formulated using direct mass- and energy-balance equations based on the reported fabricated reactor geometry, a 3 kg batch basis, literature-derived thermophysical properties, polymer fusion and pyrolysis enthalpies, reactor-wall heating, and heat-loss calculations. A deterministic MATLAB implementation was used to evaluate thermal input over 400–550 °C and to assess the sensitivity to insulation thickness from 10 to 50 mm. Model outputs were assessed against the reported final plastic-waste-oil (PWO) volumes, while experimental observations, literature-derived properties, modelling assumptions, and legacy numerical results were kept explicitly separated. At 500 °C, the calculated thermal inputs were 10.67 MJ for PE, 10.88 MJ for PP, and 14.00 MJ for HDPE. Increasing the assumed insulation thickness from 10 to 50 mm reduced the calculated thermal input by approximately 9.3–12.0%. The reported PWO volumes were 1.50 L for PE, 1.40 L for HDPE, and 0.90 L for PP. Under a common 500 °C reference condition, the corresponding reference energy-normalized oil-recovery indices (REORI) were 0.141, 0.100, and 0.083 L MJ⁻¹, respectively. REORI provides a common-basis comparative screening indicator by relating reported PWO volume to modelled thermal input, but it should not be interpreted as measured process efficiency. The framework demonstrates the importance of considering reactor thermal mass and heat-loss control alongside feedstock properties when assessing small-scale pyrolysis systems. However, the analysis is limited by the unavailability of direct heater-energy measurements, calibrated reaction-zone temperature data, cooling-water flow records, replicate measurements, and complete primary experimental records. Future work should therefore incorporate direct heater-power or energy-consumption measurements, calibrated reaction-zone temperature monitoring, oil mass-yield determination, condenser heat-removal measurements, and replicated experiments to enable rigorous energy-efficiency evaluation and validation of the thermodynamic framework.