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Journal : G-Tech : Jurnal Teknologi Terapan

Evaluasi Penurunan Kinerja Pelabuhan Laut Lembar Kabupaten Lombok Barat Siti Nurul Hijah; Restusari Evayanti; Haeroni Fikri
G-Tech: Jurnal Teknologi Terapan Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i3.2627

Abstract

Penelitian ini dilakukan untuk mengetahui kinerja pelabuhan berdasarkan indikator standar kinerja pelayanan operasional Pelabuhan. Metode penelitian yang digunakan dalam penelitian ini yaitu metode kuantitatif dengan menggunakan Peraturan Direktorat Jenderal Perhubungan Laut Nomor: HK.103/2/18/DJPL-16 tentang Pedoman Perhitungan Kinerja Pelayanan Operasional Pelabuhan. Adapun hasil penelitian terhadap evaluasi tingkat kinerja pelabuhan berdasarkan arus penumpang dalam dan luar negeri terjadi penurunan sebanyak 20%, tingkat kinerja pada waktu tunggu kapal dan waktu pelayanan pemanduan kapal adalah baik dengan nilai approach time tahun 2019 (0,37), tahun 2020 (0,29), tahun 2021 (0,31) dan tahun 2022 (0,30), Sedangkan untuk nilai Effective Time dibanding  Berth  Time pada tahun 2019 (60,79), tahun 2020 (60,42), tahun 2021 (59,61) dan tahun 2022 (58,56) sangat baik. Tingkat kinerja produktivitas memiliki kinerja yang baik dalam penerimaan dan pengiriman peti kemas dan tingkat utilitas untuk kesiapan operasi peralatan dikatakan sangat baik. Sedangkan untuk pemakaian gudang penumpukan mempunyai kinerja yang kurang efektif. 
Evaluasi Kolam Retensi Mandalika Terhadap Pengendali Banjir di Kawasan Ekonomi Khusus (KEK) Mandalika Siti Nurul Hijah; Yunita Aprilina; Novi Aulia Rahmah
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.3255

Abstract

In order to reduce the risk of flood in the area of Mandalika Circuit drainage was built but it still not capable to reduce the flood and interfering with activity in Special Economic Zone (KEK) of Mandalika. Thus retention pool was built in Mandalka in order to reduce flood and reduce the probability of flood on the main channel. The research uses descriptive quantitative method with field calculation result data processing. The result of research of retention pool efficiency in reducing flood on the design discharge in the Ngolang watershed in the existing channel was 15,513 m3/det, the capacity of existing channel was 15,152 m3/det, runoff occurred at 0,361 m3/det. After the retention pool was built, the discharge to the inlet channel was 4,660 m3/det, indicating that no runoff occurred. The discharge from outlet channel I & II is 4,659 m3/det. The flow discharge that entering the inlet channel, outlet I & II is less than the capacity discharge of the inlet channel, outlet I & II. Effectivity after the Mandalika’s retention pool was built to the existing channel was 99.98% indicating that retention pool was effective in overcoming flooding problems
Analisis Kekeringan dengan Metode PNI di Kecamatan Manggelewa dan Kilo Kabupaten Dompu Siti Nurul Hijah; Baiq Ananda Aulya
G-Tech: Jurnal Teknologi Terapan Vol 8 No 2 (2024): G-Tech, Vol. 8 No. 2 April 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i2.4088

Abstract

The Manggelewa and Kilo Subdistricts, located in Dompu Regency, West Nusa Tenggara, Indonesia, are plains with elevations ranging from 2 to 250 meters above sea level, highly suitable for agricultural crops (BPS Kab. Dompu, 2023). In the dry season of 2023, Manggelewa and Kilo Subdistricts were placed on early drought warning at alert level. This area has a high potential for meteorological drought, leading to a crisis in clean water availability and crops failure. To address this situation, an analysis of drought index was conducted using the Percent Normal Index (PNI) method with quantitative forecasting. The analysis of drought prediction for the period of 2003-2022 shows that there were 100 drought events in Manggelewa Subdistrict and 117 in Kilo Subdistrict. In the subsequent period from 2023 to 2032, Manggelewa Subdistrict experienced 23 drought events, while Kilo Subdistrict had 60, all classified as extremely dry. Notably, in July and August has the most severe drought conditions between 2003 and 2022, with 20 instances of extremely dry conditions. During the period from 2023 to 2032 from May to October experienced the worst drought, with 10 instances of extremely dry conditions.