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ANALISA PENGEMBANGAN FASILITAS BANDAR UDARA PANGERAN ABDUL HAMID SEKAYU Rosyad, Farlin; Wijaya, Rizky Putra; Firdaus, Firdaus; Irham, Irham
Ensiklopedia of Journal Vol 6, No 3 (2024): Vol. 6 No. 3 Edisi 1 April 2024
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v6i3.2271

Abstract

Prince Abdul Hamid Airport is an existing airport built in 2004, located in Musi Banyuasin district. Where the area of this district occupies 15% of the total area of South Sumatra province. The distance from the district capital to the city of Palembang is around ± 112 km or 3-4 hours by land, so the operation of this airport is expected to increase connectivity between regions and reduce travel time. By collaborating with aviation schools, a thorough arrangement and analysis of the needs for airside facilities and landside facilities is needed so that it can function as a flight school training airport. The research sample used was facility inventory data at Pangelran Abdull Hamid Airport. This research carried out qualitative improvements to airborne facilities and ground facilities based on existing estimates of the number of trainer aircraft and land available based on development policies, planning instructions and flight school student forecasts. As for the results of this research, it was found that the need for airside facilities related to the Largest Planned Aircraft, Aerodrome Reference Code (Runway 01-19), Runway Operational Category (Runway 01-19), Runway Dimensions (Runway 01-19), Runway Strip Dimensions (Runway 01-19), RESA (Runway 01-19), TURN PAD ( Runway 01-19), TORA (Runway 01-19), TODA (Runway 01-19), ASDA (Runway 01-19), LDA (Runway 01-19), APRON (Number of Parking Stands, Reserve aircraft, Apro Dimensions) , TAXIWAY (Existing Taxiway A, New Aviation College Taxiway). Then the need for land side facilities is related to the Campus Area, Flying School Terminal, Aircraft Maintenance Hangar, Hangar Support Building and also the PKP-PK Building.Keywords: Airport, Dimensions, Facilities, Aircraft, School
Comparison of Naive Bayes Method and Support Vector Machine in Classifying Diabetes Mellitus Disease Sari, Indah Kusuma; Wijaya, Rizky Putra
Journal of Engineering and Science Application Vol. 2 No. 2 (2025): October
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v2i2.33

Abstract

Diabetes mellitus is a chronic disease that occurs due to excessively high blood glucose levels resulting in the absence of insulin. In the period of data at the Siti Khadijah Islamic Hospital in Palembang, which is influenced by the number of patients undergoing health checks such as diabetes mellitus, it affects the classification of data that will complicate the hospital. So by utilizing data mining, classification to determine patients who have undergone examinations including diabetes sufferers or not. With these problems, the author conducted a comparative analysis of two algorithms, namely the naïve Bayes algorithm and the support vector machine algorithm for the classification of diabetes by using the WEKA tool with the Cross Validation and Confusion Matrix options tools with the highest accuracy results, namely the support vector machine algorithm with a polynomial kernel, the results of which are 96.2704% and an error rate of 3.7296%, it can be concluded that the most accurate algorithm in the classification of diabetes is the support vector machine algorithm with a polynomial kernel.