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All Journal Traksi : Majalah Ilmiah Teknik Mesin Arena Seminar Nasional Informatika (SEMNASIF) Majalah Ilmiah MOMENTUM Media Mesin: Majalah Teknik Mesin Jurnal Rekayasa Mesin JURNAL EKONOMI MANAJEMEN AKUNTANSI DHARMA EKONOMI Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Ilmu Manajemen dan Akuntansi Terapan Jurnal Teknologi Informasi dan Terapan (J-TIT) Pekobis : Jurnal Pendidikan, Ekonomi, dan Bisnis Budapest International Research and Critics in Linguistics and Education Journal (Birle Journal) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Bingkai Ekonomi (JBE) Journal of Agricultural and Biosystem Engineering Research Prosiding University Research Colloquium Moneter : Jurnal Ekonomi dan Keuangan Jurnal Budi Pekerti Agama Islam Journal of New Trends in Sciences Jurnal Akuntan Publik
Agus Hariyanto
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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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

Abstract

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

Abstract

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.
Pengaruh Likuiditas, Solvabilitas dan Profitabilitas terhadap Nilai Perusahaan : Studi Empiris pada Perusahaan LQ45 di Bursa Efek Indonesia Periode 2022-2024 Dwi Rahayu; Kenza Aulia; Sutikni Sutikni; Agus Hariyanto
Moneter : Jurnal Ekonomi dan Keuangan Vol. 4 No. 3 (2026): Juli : Moneter : Jurnal Ekonomi dan Keuangan
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/moneter.v4i3.2585

Abstract

Company value is the investor's perception of the management's level of success in managing the resources entrusted to it, which is often linked to the stock price. Maximizing the value of the company is the main goal of the company because with a high value of the company will be followed by the high prosperity of the shareholders. The higher the company's value, the greater the market's confidence in the current performance as well as the company's prospects in the future. This research is to analyze the Effect of Liquidity, Solvency, and Profitability on the Value of Companies Listed on the LQ45 Index in the Indonesia Stock Exchange Period 2022-2024. The population of this research is 45 LQ 45 companies in the Indonesian Stock Exchange in 2022-2024. The sampling technique used purposive sampling, the sample that met the criteria amounted to 33 companies with a 3-year observation, so that the number of samples is 99. The research data is secondary data and collected by documentary method. The analysis method uses multiple linear regression processed with SPSS tools.The results of the research show: (1) profitability has a positive and significant effect on company value, (2) liquidity has a positive but not significant effect on company value, (3) solvency has a positive but not significant effect on company value. This result is expected to be an input for investors to pay attention to the company's profitability in making investment decisions, and for the company to always try to increase profitability in order to increase the value of the company
Analisis Energi Masukan – Keluaran pada Pertanian Jagung di Lampung Selatan (Studi Kasus Tanjung Bintang) Amna Citra Farhani; Dwi Cahyani; Arya Dwi Satria; Agus Hariyanto
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 2 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.2.16032

Abstract

Pertanian merupakan kegiatan yang menghasilkan energi namun tetap membutuhkan energi dalam pelaksanaannya. Jagung merupakan salah satu komoditas pertanian utama di Lampung dan Tanjung Bintang, Lampung Selatan adalah salah satu sentra produksi jagung. Penelitian mengenai energi masukan dan keluaran dalam pertanian diperlukan untuk mengetahui keefektifan penggunaan energi dan melihat gambaran daya dukung lingkungan sekitar. Analisis energi masukan dan keluaran dari suatu proses merupakan salah satu tahapan dalam audit energi. Berdasarkan hasil analisis, energi masukan pada pertanian jagung dalam satu tahun tanam di Tanjung Bintang, Lampung Selatan adalah sebesar 56.652,56 MJ/ha dan energi keluaran bersihnya adalah sebesar 194.311,84 MJ/ha. Energi masukan paling besar adalah dari penggunaan pupuk yaitu sebesar 84%. Rasio energi pertanian jagung adalah sebesar 3.43 dan intensitas energinya adalah sebesar 5,7 MJ/kg. Berdasarkan nilai intensitas energi dan produktivitas yang dicapai, pertanian jagung ini dapat disebut telah efektif dalam penggunaan energi dan lingkungan sekitar masih mampu menopang terselenggranya pertanian di masa selanjutnya.
Co-Authors Abdul Rachman Syah Tuasikal Abdul Rachman Syam Tuasikal Adi Sucipto Agil Pranutianingrum Agus Dwi Anggono Ahmad Fahriyannur Rosyady ALI SAI'IN Amna Citra Farhani Amrozi Khamidi Arif Isnanto Ario Bomantara Wijayanto Arya Dwi Satria Batista Sufa Kefi Bekti Maryuni Susanto Bekti Maryuni Susanto Dwi Basuki Wibowo dwi cahyani Dwi rahayu Eko Yunianto Adi Cahyono Faridi Faridi Firdaus Helmi Adam Gigih Siantoro Imam Syafi’i Kartika Novianingtyas Kenza Aulia Lamijan M. Afif Amalul Arifidin M. K. Anwar M. Taufiq Milatina Laksmita Dewi Mis Widya Andelina Muchsin Harahap Muhammad Munih Dian Widianta Muhammad Subri NANIK INDAHWATI Nicolas Chenu Nurkholis Nurkholis Oce Wiriawan Rafi Hafizh Hawari Reno Renaldi Putra Rosiana Romadon S. A. Syahputra Sapta Nugraha Suherman . Sunaryo Sunaryo Surateno Surateno Sutikni Sutikni Sutopo - Teguh Arifianto Tommy Prasetyawan Ubaid Alfaruq