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All Journal TEKNIK Jurnal Sisfokom (Sistem Informasi dan Komputer)
Mochammad Agung Wibowo
Jurusan Teknik Sipil FT. UNDIP Jl. Prof. H., Soedarto SH., Tembalang, Semarang 50275
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Penilaian Risiko Sistem Informasi Fakultas Teknik Universitas Diponegoro Menggunakan Metode Failure Mode Effect And Analysis Berbasis Framework ISO 27001 Handayani, Naniek Utami; Wibowo, Mochammad Agung; Sari, Diana Puspita; Satria, Yoga; Gifari, Akbar Romadhona
TEKNIK Vol 39, No. 2 (2018): Desember 2018
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.165 KB) | DOI: 10.14710/teknik.v39i2.15918

Abstract

The data leakage and misuse of information by unauthorized parties that had happened forces the protection of security of information system in the Faculty of Engineering Diponegoro University (SIFT UNDIP) to be improved. This research aims to identify the risks, to analyze security of information system management, and to  determine risk priority in SIFT UNDIP. This research is conducted using Failure Mode Effect and Analysis method based on ISO 27001 framework. Analysis results show that there are 25 risk agents in SIFT UNDIP which are categorized into four types of assets. The highest risk in High Level Risk category is the risk of dependence on employees which has Risk Priority Number value of 80.
Mapping the Relationship Between Enterprise Risk and Project Risks at Construction Company Nurdiana, Asri; Wibowo, Mochammad Agung; Hatmoko, Jati Utomo Dwi
TEKNIK Vol 46, No 3 (2025): Juli 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v46i3.73603

Abstract

The construction industry is described as a project-based industry that inherently carries a wide range of risks. These risks are not only limited to projects but also extend to organizational or enterprise-level risks involving the company's directors, departments, and divisions. This study aims to examine the relationship between construction project risks and enterprise risks within construction companies. Specifically, it investigates how risks originating at the project level may influence or correlate with broader organizational risks, and vice versa. The research method involves analyzing secondary data, including project risk management reports and enterprise risk management documentation from construction firms. Through qualitative analysis, this study found a significant reciprocal relationship between project-level risks and company-level risks, which include the financial nature of the project risks, strategic risks, operational risks, and public & legal risks. These findings suggest that effective integration of project risk management (PRM) and enterprise risk management (ERM) is essential for enhancing overall risk resilience and organizational performance in the construction sector.
Fuel Logistics Demand Forecasting Model in the Islands Region with ARIMA Approachs Suswaini, Eka; Wibowo, Mochammad Agung; Jie, Ferry
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2543

Abstract

Indonesia as an archipelago faces complex logistical challenges, especially in the distribution of fuel oil (BBM) to remote areas. This research aims to forecast fuel logistics needs in the Anambas Islands Regency using the Autoregressive Integrated Moving Average (ARIMA) method. Forecasting was carried out on three main aspects: fuel demand (Type 1 and Type 2) per sub-district, sea wave height, and number of vehicles by type. The results show that the three elements have a relatively stable pattern during the forecasting period until June 2025, with the dominant ARIMA model configurations (0,1,0) and (0,1,1). Fuel demand per sub-district shows a steady trend, sea waves are in the low to medium category, and the number of vehicles does not experience significant spikes. This stability supports efficient and predictive data-based fuel distribution planning. The research also recommends the integration of forecasting results into the development of an adaptive and sustainable decision-making system in the islands.
Co-Authors Asri Nurdiana, Asri Diana Puspita Sari Eka Suswaini Ferry Jie, Ferry Gifari, Akbar Romadhona Jati Utomo Dwi Hatmoko Naniek Utami Handayani Satria, Yoga