Optimalisasi Rencana Anggaran Biaya pada Perumahan Central Raya Tiban Menggunakan Perhitungan SNI dan Kontraktor

In the construction project, construction management is needed in order to get results that are in accordance with the objectives of the development. One of the elements of project management is cost management. Poor cost management can lead to cost overruns or over budgets to the detriment of project owners and contractors. One of the methods that can be used in preparing the project cost budget is the SNI calculation and the contractor's calculation. The purpose of this study was to determine the comparison of the budget plan using the SNI method and the contractor's calculation. The research was conducted by collecting data on the Central Raya Tiban housing development project. Furthermore, an analysis using the SNI and contractor is carried out and compares the results of the calculations of the two methods. The results of the study obtained that the estimated cost budget plan from the calculation of the contractor was Rp. 283,827,332, while the results with the SNI were Rp. 330,333,371. From these data, it can be seen that the contractor's calculation is more optimal when compared to the calculation of SNI with a difference of Rp. 46,506,039 or 14.08% of the total value of the estimated cost budget based on the SNI calculation method. This can be used as a reference in preparing a cost budget in order to reduce development or project costs so that they become optimal and in accordance with the wishes of the project owner

Penilaian Simpang Tak Bersinyal Bundaran Jalan Duyung dan Jalan Raja Ali Haji Kota Batam Menggunakan Manual Kapasitas Jalan Indonesia (MKJI)

Good transportation system can encourage economic growth and support development. Therefore, the success of development in the economic sector must be supported by the development of a good transportation system, because a bad transportation system can cause a slow pace of the economy of a region. One of the transportation problems that often occurs is congestion. Batam City currently has a high rate of increase in motorized vehicles making it possible for congestion to occur. The purpose of this study was to assess the traffic performance of unsignalized intersections on Jalan Duyung and Jalan Raja Ali Haji Batam City. The reference used in this research is MKJI 1997. The research was conducted by conducting a traffic survey to obtain traffic data and road geometry. Furthermore, capacity analysis and traffic behavior are carried out. The result of this research is a capacity of 2422 pcu/hour and Qtotal of 1966 pcu/hour so that the obtained DS is 0.812 which means more than 0.75, so it can be said that this intersection is slightly ineffective. At the intersection traffic delay, the value is 9.3, DTMA is 6.8, DTMI is 23.4 pcu/hour, DG is 4.072 sec/pcu, D is 13,372 sec/pcu, and the queue probability is 26% - 50% where This queue probability slightly exceeds the standard limit of 23% - 45% so that this intersection has a slightly high level of traffic queue probability. The results obtained from this study can be used as a reference for improving the performance of unsignalized intersection traffic

Tinjauan Kelancaran Arus Lalu Lintas pada Area Bundaran Simpang Barelang di Wilayah Batu Aji Batam dengan Menggunakan Metode Manual Kapasitas Jalan Indonesia 1997

Smooth transportation conditions can improve population mobility services and other resources that can support economic growth. However, in densely populated cities like Batam, congestion often occurs and causes road users to feel stressed, the pace of the economy is hampered, and a lot of time is wasted. Therefore, it is necessary to review the performance of transportation. The purpose of this study was to determine whether the traffic performance at the Barelang intersection roundabout has been effective against the existing traffic situation in the area. The research was conducted by conducting a traffic survey on the road at the Barelang intersection, Batam to obtain the number of vehicles passing through the Barelang intersection. The reference used in this study is MKJI 1997 with the analysis carried out on road capacity, traffic volume, and degree of saturation. The results obtained at the Barrelang intersection for the road segment from SP Plaza to Muka Kuning has a degree of saturation value of 0.72. As for the road from Muka Kuning to SP Plaza, the degree of saturation is 1.08. Based on MKJI it is determined that the value of the degree of saturation of a road segment should not be more than 0.75, it can be concluded that the road from SP Plaza to Muka Kuning is considered effective and for the road segment from Muka Kuning to SP Plaza it is not effective. The results of this study can be used as a reference in an effort to improve transportation performance

PERUBAHAN POLA DAN KEDALAMAN CURAH HUJAN AKIBAT KEJADIAN LA NINA TAHUN 1998-2018 DI INDONESIA MENGGUNAKAN DATA SATELIT PERSIANN

La Nina adalah pola cuaca yang rumit dan kompleks yang terjadi tiap beberapa tahun sekali. Fenomena La Nina telah terjadi selama ratusan tahun dan biasanya terjadi teratur. Tercatat mulai dari tahun 1998 hingga tahun 2018 telah terjadi 7 kali kejadian La Nina. Salah satu wilayah yang berada di sebelah barat Pasifik yang mengalami peningkatan curah hujan akibat Fenomena La Nina adalah wilayah Indonesia. Fenomena La Nina mengakibatkan terjadinya peningkatan puncak kedalaman hujan (mm) yang menyebabkan perubahan kondisi hidrologi di Indonesia. Penelitian ini bertujuan untuk menganalisa perubahan pola curah hujan akibat kejadian La Nina selama kurun waktu tahun 1998 hingga 2018 di Indonesia. Data curah hujan yang digunakan adalah observasi curah hujan per hari dari Satelit PERSIANN pada tahun 1998-2018. Kesimpulan dari penelitian ini adalah jika ditinjau dari tahun kejadian La Nina, puncak kedalaman hujan yang melampaui dari frekuensi rata-rata yang terjadi Indonesia, terjadi pada tahun 2010 dengan yang mencapai 10 kali hujan melampaui hujan rata-rata. Jika ditinjau dari bulan selama terjadinya fenomena La Nina, Kedalaman hujan yang melampaui kedalaman rata-rata paling sering terjadi pada November dengan frekuensi 12 kali. Oleh karena itu, pola hujan pada bulan November harus paling diwaspadai dibandingkan bulan lainnya. Selama terjadi fenomena La Nina, Bulan November mencapai hujan maksimum pada kedalaman 1104,84 mm dengan rata-rata hujan bulanan yang terjadi adalah 841,99 mm.Kata Kunci: curah, hidrologi, hujan, La Nina, PERSIAN

ANALISIS PERHITUNGAN JUMLAH DAN PENENTUAN LOKASI ALAT PENGUKUR HUJAN DI KOTA BATAM

Di Kota Batam terdata bahwa hanya ada 1 pengukur hujan, yaitu di Bandara Hang Nadim Batam yang dikelola oleh Badan Meteorologi dan Geofisika (BMKG) Batam. Hal ini tentunya sangat menghambat pekerjaan dari Bidang SDA yang bekerja untuk mengantisipasi banjir di Kota Batam. Kejadian banjir tentunya sebagian besar diakibatkan oleh air hujan yang mencapai kedalam tertentu. Hal ini menunjukkan bahwa untuk mengantisipasi terjadinya banjir, perlu adanya pengukur hujan yang bisa menjadi alat peringatan dini banjir. Penelitian ini dilakukan untuk mengurangi resiko terjadi kesalahan pada saat pengambilan data hujan dan kerapatan jaringan stasiun hujan dapat terkoreksi dengan baik sehingga kerapatan jaringan stasiun hujan menjadi ideal. Metode penelitian yang digunakan adalah metode penelitian kuantitatif dengan menggunakan data hujan 30 tahun dari stasiun hujan Hang Nadim Batam dan peta DAS Batam dari Balai Wilayah Sungai Batam. Perhitungan menggunakan metode perhitungan kagan. Penelitian ini menghasilkan jumlah alat pengukur hujan yang dibutuhkan Kota Batam adalah sebanyak 31 alat. Penentuan titik lokasi alat pengukur hujan terdiri dari 31 lokasi, yaitu Kantor Kelurahan Baloi Indah, Batu Besar, Belian, Bengkong Laut, Bukit Tempayan. Buliang, Kabil, Lubuk Baja Kota, Mangsang, Patam Lestari, Pulau Buluh, Sadai, Sagulung Kota, Sei Pelungut, Sukajadi, Sungai Binti, Sungai Harapan, Sungai Jodoh, Sungai Langkai, Sungai Panas, Taman Baloi, Tanjung Buntung, Tanjung Pinggir, Tanjung Riau, Tanjung Sengkuang, Tanjung Uncang, Teluk Tering, Tembesi, Tiban Baru, Tiban Indah, dan Tiban Lama