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PENERAPAN TEKNOLOGI MELALUI TRAINER KIT ENERGI BARU TERBARUKAN DI SMKN 1 MERBAU MATARAM, LAMPUNG SELATAN Utami Putri, Novia; Jafar Adrian, Qadhli; Febrian, Angga; Rizki Dalimunthe, Ernando; Wahyudi, Retno; Sembiring, Alexander; Edi Rosandi, Aditya
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 7 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i7.2934-2940

Abstract

Penerapan teknologi melalui Trainer Kit EBT sebagai sumber energi terbarukan semakin penting dalam mengatasi krisis energi dan perubahan iklim global. Artikel ini membahas penerapan teknologi sebuah trainer kit ini dirancang sebagai media pembelajaran untuk meningkatkan pemahaman teknis dan keterampilan praktis dalam pemasangan, pengoperasian, dan pemeliharaan sistem tenaga surya di SMK Negeri 1 Merbau Mataram. Trainer kit ini mencakup modul-modul praktis yang meliputi instalasi panel surya, sistem penyimpanan energi, dan konfigurasi inverter, serta simulasi masalah nyata yang sering terjadi dalam implementasi PLTS.
REVIEW ON TITANIUM-BASED ALLOYS AS BIOMATERIALS FOR IMPLANT APPLICATIONS Prastyo, Adi; Ibrahim, Fauzi; Efriyo Hadi, Agung; Febrina, Rina; Winarno, Rudi; Ermasari, Anissa; Wahyudi, Retno
Jurnal Rekayasa Teknologi dan sains Vol 7, No 1 (2023): Jurnal Rekayasa, Teknologi, dan Sains
Publisher : Fakultas Teknik Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jrets.v7i1.8762

Abstract

ABSTRACT Technological updates in the field of advanced materials research now tend to focus on biomedical materials application and utilization of Titanium and its alloys. Various of implant materials have been employed in various disciplines of medical science depending on the requirements of a particular application. Metals, alloys, ceramics, and polymers are the commonly used biomaterials. Titanium and its alloys are commonly used in almost all disciplines of medicine because of their sufficient biocompatibility and meeting of mechanical requirements. The main focus of this study is to review the various structural and microstructural properties of titanium and titanium-based alloys used as orthopedic implants. Orthopedic implants need to possess certain important qualities to ensure their safe and effective use. These properties like the biocompatibility, relevant mechanical properties, high corrosion and wear resistance and osseointegration are summarized in this review. Various attempts to improve upon these properties like different processing routes, surface modifications have also been inculcated in the paper to provide an insight into the extent of research and benefit that has been put into developing a highly superior titanium orthopedic implant. In addition, this paper also discusses in detail the various surface modification techniques to achieve superior biocompatibility, higher wear and corrosion resistance. Overall, an attempt has been made to bring out the current scenario of Ti based materials for biomedical applications. Keywords: titanium, implant, biomaterial.
Pengolahan Pakan Ternak Berkualitas dengan Mesin Mix-Chop Portable di Pekon Mataram Kecamatan Gading Rejo Kabupaten Pringsewu Natalina Natalina; Fauzi Ibrahim; Rani Ismiarti Ergantara Ergantara; Retno Wahyudi; Agus Apriyanto; Novia Utami Putri Putri; Alexander Sembiring; Adam Wisnu Murti
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 4 (2025): November
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/5h21q179

Abstract

Pekon Mataram di Kecamatan Gading Rejo, Kabupaten Pringsewu, Provinsi Lampung memiliki potensi besar di bidang pertanian dan peternakan, namun masih menghadapi keterbatasan dalam penyediaan pakan ternak berkualitas. Selama ini, peternak mengandalkan rumput liar yang tersedia melimpah, tetapi pemanfaatannya belum optimal karena proses pengolahan yang masih tradisional sehingga nilai gizi dan efisiensi pemakaiannya rendah. Untuk mengatasi permasalahan tersebut, kegiatan pemberdayaan masyarakat dilakukan melalui penerapan mesin mix-chop portable yang mampu mencacah dan mencampur rumput dengan bahan tambahan bergizi, disertai pelatihan pembuatan pakan fermentasi serta manajemen pemeliharaan ternak. Tujuan kegiatan ini adalah meningkatkan kualitas dan kuantitas pakan, memperbaiki manajemen usaha peternakan, serta memperluas akses pemasaran hasil ternak. Metode pelaksanaan meliputi sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi yang melibatkan partisipasi aktif peternak. Hasil kegiatan menunjukkan adanya peningkatan keterampilan peternak dalam mengolah pakan, efisiensi waktu dan tenaga, serta terbentuknya kelompok usaha bersama yang mendukung keberlanjutan program. Hasil kegiatan menunjukkan adanya peningkatan keterampilan peternak dalam mengolah pakan sebesar 80%, peningkatan efisiensi produksi hingga 50%, serta kenaikan rata-rata bobot ternak sapi sebesar 18%. Sebanyak 20 peserta pelatihan berhasil mengoperasikan mesin mix-chop dan memproduksi pakan fermentasi secara mandiri.
PELATIHAN DAN EVALUASI PENGGUNAAN TRAINER HYBRID EBT TERHADAP PENINGKATAN KOMPETENSI SISWA TEKNIK INSTALASI TENAGA LISTRIK (TITL) DI SMKN 1 MERBAU MATARAM Novia Utami Putri; Agus Apriyanto; Fauzi Ibrahim; Retno Wahyudi; Alexander Sembiring; Adam Wisnu Murti; Syaiful Mansur; Ilham Saputra
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 5 (2026): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i5.2059-2065

Abstract

Pendidikan vokasi menuntut ketersediaan sarana praktik yang relevan dengan kebutuhan industri, namun SMKN 1 Merbau Mataram menghadapi kendala keterbatasan fasilitas praktik Energi Baru Terbarukan (EBT) yang menghambat pemahaman siswa secara komprehensif. Pengabdian ini bertujuan untuk mengevaluasi efektivitas pelatihan dan penerapan media pembelajaran Trainer Hybrid EBT (PLTS dan PLTB) dalam meningkatkan kompetensi siswa jurusan Teknik Instalasi Tenaga Listrik (TITL). Metode pelaksanaan dilakukan menggunakan pendekatan partisipatif melalui lima tahapan terstruktur: sosialisasi, pelatihan, penerapan teknologi, pendampingan dan evaluasi, serta keberlanjutan program. Intervensi ini menggunakan alat peraga terintegrasi panel surya 10 Wp dan turbin angin 500 W untuk mensimulasikan sistem hibrida secara nyata. Hasil evaluasi menunjukkan peningkatan signifikan pada pemahaman teknis siswa, mencapai persentase pemahaman 98% setelah pelaksanaan pelatihan. Program ini terbukti efektif menjembatani kesenjangan antara teori dan praktik, serta mendukung kemandirian sekolah dalam menyelenggarakan pembelajaran berbasis energi hijau
Pemanfaatan Bioetanol Limbah Kelapa Muda dan Pengaruhnya Terhadap Emisi Sepeda Motor Empat Langkah Injeksi Sugiartono Sugiartono; Wagino Wagino; Darul Afdal; Retno Wahyudi
AEEJ : Journal of Automotive Engineering and Vocational Education Vol 1 No 1 (2020): AEEJ : Journal of Automotive Engineering and Vocational Education
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/aeej.v1i1.1

Abstract

This article discusses the use of Pertamax fuel and young coconut bioethanol with mixed variations (BE5, BE10, BE15, BE20) on injection step motorcycle exhaust emissions. The methodology used in this study is the post test only design control, one of the research in qualitative research. The research data is primary data, obtained directly on the gas analyzer during the trial. All data is then collected, looking for average test results, described and closed with a different test (t test). Based on the data obtained at the time of testing there was a decrease in CO and HC gas levels with each additional amount of young coconut ethanol in Pertamax fuel. The results of the difference analysis test (t test) are not significant, t arithmetic <t table which means accepted and rejected. Can reduce the use of young coconut bioethanol mixture has variations in CO and HC emission reduction, but the reduction rate is not significant Artikel ini bertujuan untuk membahas pengaruh penggunaan bahan bakar pertamax dan bioetanol kelapa muda dengan variasi campuran (BE5, BE10, BE15, BE20) terhadap emisi gas buang sepeda motor empat langkah injeksi. Metodologi yang digunakan dalam penelitian ini adalah post test only control desain, salah sau pendekatan riset dalam penelitian kualitatif. Data penelitian merupakan data primer, didapatkan secara langsung pada alat gas analizer pada saat uji emisi. Seluruh data kemudian dihimpun, di cari rata-rata hasil pengujian, di deskripsikan serta ditutup dengan uji beda (uji t). Berdasarkan data yang didapatkan pada saat pengujian terjadi penurunan kadar gas CO dan HC pada setiap peningkatan jumlah campuran bioetanol kelapa muda pada bahan bakar pertamax. Hasil dari analisis uji beda (t test) pengaruh penambahan campuran tidak signifikan, t hitung < t tabel yang berarti Ho diterima dan Ha ditolak. Dapat disimpulkan penggunaan campuran bioetanol kelapa muda memiliki pengaruh penurunan kadar emisi gas CO dan HC, tetapi angka penurunan tidak signifikan.
Analisis Kinerja Komprehensive Sistem Pendingin Primer terhadap Efisiensi Pembangkit Listrik Tenaga Panas Bumi Tipe Flash Steam Agus Apriyanto; Novia Utami Putri; Retno Wahyudi; Alexander Sembiring; Fauzi Ibrahim; Adam Wisnu Murti
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2855

Abstract

Abstract. Geothermal power plants rely heavily on the efficiency of their cooling systems to optimize overall energy conversion. This study investigates the performance of the primary cooling systems, namely direct contact condensers and mechanically induced flow cooling towers in Unit 3 of PT. Pertamina Geothermal Energy Tbk, Ulubelu Area, Lampung. Performance metrics are assessed using parameters such as range, approach, and effectiveness for the cooling tower, and thermal efficiency calculations for the condenser and steam turbine. Daily operational data were collected and analyzed. The results show that fluctuations in cooling tower effectiveness significantly affect condenser vacuum and turbine efficiency. The average actual cooling tower effectiveness is 70.06%, lower than the design effectiveness of 78%. The condenser shows an average thermal efficiency of 93.80%, with effectiveness variations between 83.23% to 86.44%. The turbine efficiency based on design is 87.51%, while the actual efficiency drops to the range of 81.84% to 82.48%. This decrease indicates a performance degradation of approximately 0.94% per year. This finding underlines the important role of cooling system optimization in improving the performance of geothermal power plants.
Virtual Prototyping Of Suspension Vibration Monitoring Using Tinkercad Simulation And Vibration Indices Analysis Sembiring, Alexander; Wahyudi, Retno; Apriyanto, Agus; Ibrahim, Fauzi; Murti, Adam Wisnu; Putri, Novia Utami; Pambudi, Ambar
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 6 No. 1 (2026): Maret
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v6i1.6345

Abstract

This study presents a Tinkercad-based virtual prototyping approach for monitoring suspension vibration in smart vehicle systems. The objective was to develop a low-cost yet systematic framework that integrates Arduino simulation, vibration indices analysis, and real-time visualization. The methodology included modeling road excitations (smooth, moderate, rough, bump) using signal generators, applying moving-average filtering, and computing vibration indices such as root mean square (RMS), peak-to-peak (P2P), crest factor (CF), and zero-crossing rate (ZCR). Circuit prototyping and coding were carried out entirely in Tinkercad, and vibration data were collected through the Arduino Serial Monitor for analysis. The results demonstrated that vibration indices varied consistently across road conditions. RMS values increased from 0.82 (smooth) to 1.52 (bump), while P2P rose from 1.50 to 2.80. Similarly, CF escalated from 1.20 to 1.78, reflecting higher peak loads, whereas ZCR remained stable at ~6.25 except for the bump mode where oscillations decreased. These findings validate that the Tinkercad platform can capture dynamic vibration trends aligned with theoretical expectations and literature benchmarks. The study contributes to advancing virtual prototyping as an accessible tool for vibration diagnostics in automotive suspensions. Future research could extend this framework toward hybrid monitoring systems that integrate energy harvesting and self-powered vibration sensing, enhancing applications in smart and green vehicles.
Digital Twin-Based Prediction of Engine Thermal Behavior and Emission Characteristics Under Variable ECU Calibration Strategies Retno Wahyudi; Agus Apriyanto; Novia Utami Putri; Fauzi Ibrahim; Alexander Sembiring; Adam Wisnu Murti
Jurnal Rekayasa Teknologi dan sains Vol 10, No 2 (2026): Jurnal Rekayasa, Teknologi, dan Sains
Publisher : Fakultas Teknik Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jrets.v10i2.27574

Abstract

ABSTRACT Contemporary engine development programmes face an intensifying conflict between compressed time-to-market schedules, escalating computational demands of high-fidelity simulation, and the exponentially growing dimensionality of the electronic control unit (ECU) calibration space in modern internal combustion engines. This article presents a novel digital twin (DT) framework capable of predicting engine thermal behaviour and exhaust emission characteristics in real time across variable ECU calibration strategies, without requiring a physical engine to be operated at every calibration point of interest. The proposed framework integrates a physics-informed neural network (PINN) thermal model of the engine cooling circuit and combustion chamber wall with a long short-term memory (LSTM) recurrent network trained on high-resolution in-cylinder pressure traces and exhaust emission measurements acquired from a production four-cylinder turbocharged gasoline direct injection (TGDI) engine. The PINN layer enforces energy conservation constraints during network training, ensuring thermodynamic consistency of predictions even in interpolated regions of the calibration space that were not represented in the training dataset. Across a validation set spanning 420 distinct ECU calibration points—varying ignition advance, fuel injection pressure, injection split ratio, boost pressure, and exhaust gas recirculation (EGR) rate—the digital twin predicted coolant outlet temperature with a root-mean-square error (RMSE) of 1.43°C, indicated thermal efficiency with RMSE of 0.61%, brake-specific CO with RMSE of 3.82 g/kWh, brake-specific NOx with RMSE of 2.74 g/kWh, and total hydrocarbon (THC) emissions with RMSE of 1.96 g/kWh. Particulate number (PN) prediction achieved an RMSE of 6.3 × 10⁵ #/cm³ relative to measured values. Real-time inference latency averaged 4.7 ms per operating point on standard automotive-grade embedded hardware, enabling integration into hardware-in-the-loop (HIL) and model-in-the-loop (MIL) calibration workflows. The framework is shown to reduce the number of physical engine test cell hours required to populate a full-factorial calibration map by 73.6%, while maintaining prediction accuracy within the measurement uncertainty of the physical instrumentation. These results demonstrate that physics-informed digital twins represent a viable and transformative tool for next-generation ECU calibration methodology, with direct implications for achieving simultaneous fuel economy improvement and regulatory emission compliance. Keywords: digital twin, ecu calibration, emission prediction, engine thermal model, hardware-in-the-loop, lstm, physics-informed neural network, turbocharged gdi.