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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSI (Jurnal sistem Informasi) Universitas Suryadarma
Rachmat Setiabudi
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Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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PERANCANGAN BAHAN PELATIHAN BERBASIS WEBSITE DI KEJURUAN TEKNOLOGI INFORMASI DAN KOMUNIKASI BALAI BESAR PENGEMBANGAN LATIHAN KERJA BEKASI Faizal Riza; Dannie Febrianto Hendrakusuma; Rachmat Setiabudi; Anindito Kusumo Birowo; Cahyono Koerniawan Hidayat
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 10 No. 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i2.1081

Abstract

 AbstractBalai Besar Pengembangan Latihan Kerja (BBPLK) Bekasi is a training place for government-owned skills or expertise under the auspices of the Ministry of Manpower headed by Echelon II government officials. In the Center for Job Training Development (BBPLK) Bekasi, there are various kinds of vocational training, one of which is the Information and Communication Technology Vocational School. In the Information and Communication Technology (ICT) Vocational School there are 5 (five) training programs, namely: Graphic Design, Motion Graphic Artist, Network Professional, Mobile Programming and IT Software For Business Solution. In this vocational school, they still use the manual method in processing data on training materials stored in the warehouse. The method used is by filling out the training material expenditure form, then the form is stored in their respective archive folders. This system has been running well but still has weaknesses, including if the admin is asked to find training material data quickly, the admin will have difficulty finding one by one archive that has been stored and takes a long time and taking training materials that are not in accordance with the training program and possibly there is a missing file. The research method uses data collection by means of observation, interviews and literature study. So with the design of a website-based training material inventory information system, it can make it easier to find data on the availability of training materials according to the training program and make the work process of checking training materials more effective and efficient. Keywords : training materials, system, information, inventory, website..
ANALISIS DAN VISUALISASI POLA PARAMETER CUACA HARIAN DAN BULANAN JAKARTA TIMUR DENGAN K-MEANS CLUSTERING Lola; Aji Nurrohman; Sigit Wibisono; Rachmat Setiabudi; Atang Supena
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 5 (2026): October (2026)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i5.7273

Abstract

Weather observation data produced by the Meteorology, Climatology and Geophysics Agency (BMKG) has multivariate characteristics, so it requires an analysis method that is able to identify patterns based on similarities in data characteristics. This research aims to analyze and visualize daily and monthly weather parameter patterns in the East Jakarta area using the K-Means Clustering algorithm. The dataset used is daily observation data from the Halim Perdanakusuma Meteorological Station for the period January–December 2025, totaling 365 observations with six meteorological parameters, namely TN, TX, TAVG, RH_AVG, RR, and FF_AVG. The research stages include merging data, handling missing values ​​using median imputation, data normalization using StandardScaler, data exploration, determining the optimal number of clusters using the Elbow Method and Silhouette Score, followed by the clustering process using K-Means. The evaluation results show that there are three optimal clusters (K=3), which represent variations in the daily weather characteristics of East Jakarta. The clustering results identified different characteristics, namely Cluster 0 (Hot Dry Weather), Cluster 1 (Cool Cloudy Weather), and Cluster 2 (Heavy Rainy Weather). Visualization in the form of correlation heatmaps, time series graphs, scatter plots, box plots and bar charts provide informative representations of weather parameter distribution patterns, making it easier to interpret analysis results. This research proves that K-Means Clustering is used as an effective exploratory method for identifying weather parameter patterns and visualization of meteorological analysis.
Co-Authors Aji Nurrohman Anindito Kusumo Birowo Atang Supena Cahyono Koerniawan Hidayat Dannie Febrianto Hendrakusuma Faizal Riza Lola Sigit Wibisono