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All Journal Journal of Science and Applicative Technology JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Didik Supriyadi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Engineering Materials Science & Nanotechnology Mechanical Engineering

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AUDIT AND ANALYSIS OF ENERGY CONSUMPTION OF OFFICIAL BUILDING IN ITERA CAMPUS Amna Citra Farhani; Didik Supriyadi
Journal of Science and Applicative Technology Vol 2 No 1 (2018): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (139.025 KB) | DOI: 10.35472/281418

Abstract

Decreasing of energy consumption for buildings has become a common issue in many countries. This makes rising in the importance of having an effort to conserve the energy use for consumption. Audit energy is a starting point to have the conservation energy effort. With audit energy, the energy consumption pattern of a system could be achieved and the scheme for decreasing energy consumption could be drawn. Higher education institution should be the agent to implement the energy conservation in society. This paper is aim to have energy audit and energy consumption pattern in ITERA. With the result, a scheme for energy consumption in ITERA will be presented. This scheme later will have impact on ITERA’s budget. In order to have this scheme, electrical energy consumption in every building in ITERA will be surveyed. Beside electrical energy, temperature and relative humidity in every room building will be measured. Secondary data as in building area and room schedule will be collected. This data will be analyzed and the expected data, that is the scheme for energy consumption decreasing will be recommended.
the Forensic Test Information System Firearms Ammunition Protective Clustering Process Using Gray Level Co-occurance Matrix and K-Mean Clustering Algorithms didik supriyadi
JATISI Vol 13 No 2 (2026): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v13i2.8282

Abstract

The use of technology is a solution when developments continue to increase and develop. The connection between technology and the field of state security is no exception. The method that supports clusterization is feature extraction using the Gray Level Co-occurrence Matrix (GLCM), carried out before the clusterization process. GLCM is suitable for extracting features or characteristics in images with unique patterns, such as puppet pattern recognition research. This research procedure is a flow chart to build an information system for forensic testing of the clustering process for firearm ammunition projectiles using the Gray Level Co algorithm. -occurrence Matrices (GLCM) and K-means clustering. Figure 3.1 below illustrates the information system framework as an explanation of each input flow, process, and output. The research results show that the GLCM method for feature extraction from grayscale images and the K-Means method for clustering provide good results and accuracy. The model performance reached 71.14% even with limited data. This model can be used in console applications such as Google Collabs and with a GUI with relatively stable application performance.
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