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Aplikasi Nanoteknologi pada Energi Terbarukan untuk Peningkatan Efisiensi Sistem Penyimpanan Energi Agus Hariyanto; Rosiana Romadon
Journal of New Trends in Sciences Vol. 1 No. 2 (2023): Mei: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i2.763

This research explores the role of nanotechnology in enhancing energy storage systems for renewable energy applications. The study aims to evaluate the potential of nanomaterials, including carbon nanotubes, graphene, and fullerenes, in improving the performance of energy storage devices, specifically batteries, by focusing on their ability to enhance energy conversion efficiency, storage capacity, and battery lifespan. A case study was conducted using a prototype battery incorporating these nanomaterials, connected to a photovoltaic system to simulate real-world energy production conditions. The methodology included testing key parameters, such as energy conversion efficiency, charging time, and battery degradation through multiple charge-discharge cycles. The findings showed a significant improvement in energy conversion efficiency, with the nanomaterial-based batteries outperforming conventional batteries by up to 20%. Additionally, the nanomaterial-based batteries demonstrated an increased storage capacity and longer cycle life, maintaining performance after hundreds of charge-discharge cycles. Nanomaterials contributed to these improvements by enhancing electrical conductivity, reducing internal resistance, and preventing degradation that typically occurs in conventional batteries during prolonged use. Furthermore, nanostructured coatings on the electrodes were found to improve light trapping and anti-reflection capabilities, which directly contributed to the higher efficiency of the battery. This research highlights the transformative potential of nanotechnology in energy storage systems, offering a promising solution to the intermittency challenges of renewable energy sources such as solar and wind. The study also suggests that further research is needed to explore other nanomaterials, scale up the technology for industrial applications, and integrate smart energy management systems to optimize energy storage in renewable energy systems.

Pengenalan Perguruan Tinggi Kedinasan Politeknik Perkeretaapian Indonesia Madiun pada Siswa SMK Negeri 1 Ngawi dengan Metode Ceramah Interaktif Teguh Arifianto; M. Afif Amalul Arifidin; Sunaryo, Sunaryo; Rafi Hafizh Hawari; Ario Bomantara Wijayanto; Agil Pranutianingrum; Agus Hariyanto; Eko Yunianto Adi Cahyono; Lamijan
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i2.1672

Kegiatan pengenalan perguruan tinggi kedinasan Politeknik Perkeretaapian Indonesia Madiun dilakukan oleh tim penulis yang bekerja sama dengan SMK Negeri 1 Ngawi. Kegiatan ini dilaksanakan di SMK Negeri 1 Ngawi pada tanggal 22 Januari 2024. Tujuan dari kegiatan ini adalah untuk memberikan minat, wawasan, dan partisipasi siswa tentang peran dan pentingnya perguruan tinggi kedinasan khususnya Politeknik Perkeretaapian Indonesia Madiun dalam memajukan sektor transportasi khususnya di bidang perkeretaapian, menghasilkan tenaga kerja yang profesional dan berkualitas, dan siap untuk bekerja di industri perkeretaapian. Oleh karena itu, pengenalan perguruan tinggi kedinasan memberikan siswa pemahaman yang lebih baik tentang program pendidikan, persyaratan masuk, prospek karir, dan fasilitas yang tersedia di Politeknik Perkeretaapian Indonesia Madiun.

Analisis Perlakuan Akuntansi Aset Tetap pada RSUD Dr. Adhyatma, MPH Provinsi Jawa Tengah Eko Cahyono; Agus Hariyanto
Jurnal Ekonomi Manajemen Akuntansi Vol. 31 No. 2 (2025): JURNAL EKONOMI MANAJEMEN AKUNTANSI
Publisher : sekolah Tinggi Ilmu Ekonomi Dharma Putra Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59725/ema.v31i2.391

This study aims to determine the accounting treatment for fixed assets at Dr. Adhyatma Regional General Hospital, MPH, Central Java Province, and to determine whether the accounting treatment for fixed assets at Dr. Adhyatma Regional General Hospital, MPH, Central Java Province, complies with PSAP No. 07 concerning Fixed Asset Accounting. This study used a qualitative descriptive research method, using triangulation (a combination of observation, interviews, and documentation) as data collection techniques at Dr. Adhyatma Regional General Hospital, MPH, Central Java Province. The results of this study indicate that the accounting treatment for fixed assets at Dr. Adhyatma Regional General Hospital, MPH, Central Java Province, in terms of classification, recognition, measurement, cost components, post-acquisition expenditures, depreciation, retirement, and disposal, complies with PSAP No. 07 concerning Fixed Asset Accounting. Disclosure of fixed assets regarding the reconciliation of the recorded amount at the beginning and end of the period and depreciation information including the depreciation value, gross recorded value and accumulated depreciation at the beginning and end of the period is in accordance with PSAP Number 07 of 2010 concerning Fixed Asset Accounting. However, for the basic information on the valuation used to determine the recorded value, depreciation information in the form of the depreciation method used and the useful life or depreciation rate used is not in accordance with PSAP Number 07 of 2010 concerning Fixed Asset Accounting.

Analisis Faktor – Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Melanjutkan Pendidikan Strata-1 Ekonomi Islam Universitas Diponegoro Firdaus Helmi Adam; Agus Hariyanto
Jurnal Akuntan Publik Vol. 1 No. 1 (2023): Maret : Jurnal Akuntan Publik
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jap-widyakarya.v1i1.270

This study aims to determine the effect of tuition fees, promotions, facilities, infrastructure, and also reputation on student decision-making in choosing the Islamic Economics study program, at the Faculty of Economics and Business (FEB) Diponegoro University, Semarang. This study uses a quantitative approach. The variables used in this study are tuition fees, promotions, facilities, and infrastructure, reputation, decision-making. The method used in this study was by taking questionnaire data which was distributed to active students of the Islamic Economics study program at Diponegoro University. The population used in this study is the number of active students in 2019, 2020, 2021, and 2022 which total 615 students. The samples taken were 97 students using the proportional random sampling technique. This study used multiple linear regression which was processed using the Statistical Package for Social Science (SPSS) version 26. The results showed that the infrastructure and reputation variables influenced student decision-making in choosing a study program, but the tuition and promotion variables did not affect student decisions in choosing the Islamic Economics study program, Faculty of Economics and Business (FEB) Diponegoro University Semarang.

Multivariate LSTM with SLO-Aware Loss for Virtual Machine Workload Prediction on Cloud Data Center Agus Hariyanto; Ahmad Fahriyannur Rosyady; Adi Sucipto; Bekti Maryuni Susanto; Sapta Nugraha; Nicolas Chenu
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.490

Accurate virtual machine (VM) workload prediction is a key component of cloud resource management, particularly to support auto-scaling and to maintain Service Level Objectives (SLOs). In conventional prediction models that rely on symmetric loss functions such as Mean Squared Error (MSE), under-prediction errors are treated equivalently to over-prediction errors, even though under-prediction carries significantly more severe operational consequences — it directly triggers capacity shortages and SLO violations. This study proposes a CPU workload prediction approach based on a multivariate Long Short-Term Memory (LSTM) network enhanced with an SLO-aware loss, an asymmetric loss function that penalizes under-prediction ten times more heavily than over-prediction. Experiments are conducted on a subset of 25,000 rows from the Bitbrain GWA-T-12 fastStorage dataset with four input features (CPU, memory, network received, network transmitted), using a fixed random seed for reproducibility. Two models are trained and compared: one with SLO-aware loss and one with standard MSE as baseline, both sharing identical architecture and hyperparameters. The primary evaluation metric is the under-prediction rate, which directly quantifies SLO violation risk. Results show that the SLO-aware model achieves an under-prediction rate of 0.04%, compared to 0.16% for the MSE baseline — a fourfold reduction. These findings empirically confirm that SLO-aware loss effectively directs the model toward conservative predictions that protect SLO compliance, establishing loss function design as a critical and actionable dimension in cloud VM workload prediction.

Aplikasi Nanoteknologi pada Energi Terbarukan untuk Peningkatan Efisiensi Sistem Penyimpanan Energi Agus Hariyanto; Rosiana Romadon
Journal of New Trends in Sciences Vol. 1 No. 2 (2023): Mei: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i2.763

This research explores the role of nanotechnology in enhancing energy storage systems for renewable energy applications. The study aims to evaluate the potential of nanomaterials, including carbon nanotubes, graphene, and fullerenes, in improving the performance of energy storage devices, specifically batteries, by focusing on their ability to enhance energy conversion efficiency, storage capacity, and battery lifespan. A case study was conducted using a prototype battery incorporating these nanomaterials, connected to a photovoltaic system to simulate real-world energy production conditions. The methodology included testing key parameters, such as energy conversion efficiency, charging time, and battery degradation through multiple charge-discharge cycles. The findings showed a significant improvement in energy conversion efficiency, with the nanomaterial-based batteries outperforming conventional batteries by up to 20%. Additionally, the nanomaterial-based batteries demonstrated an increased storage capacity and longer cycle life, maintaining performance after hundreds of charge-discharge cycles. Nanomaterials contributed to these improvements by enhancing electrical conductivity, reducing internal resistance, and preventing degradation that typically occurs in conventional batteries during prolonged use. Furthermore, nanostructured coatings on the electrodes were found to improve light trapping and anti-reflection capabilities, which directly contributed to the higher efficiency of the battery. This research highlights the transformative potential of nanotechnology in energy storage systems, offering a promising solution to the intermittency challenges of renewable energy sources such as solar and wind. The study also suggests that further research is needed to explore other nanomaterials, scale up the technology for industrial applications, and integrate smart energy management systems to optimize energy storage in renewable energy systems.

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