11 research outputs found
OPTIMALISASI BIAYA DAN WAKTU PROYEK MENGGUNAKAN METODE CRASHING DENGAN PENAMBAHAN WAKTU KERJA (LEMBUR) DAN SISTEM KERJA SHIFT
No full textOn every project construction often found problem about delay work project, this happen consequence existence difference condition location project, change design, weather or error in planning project. Consequence from delay work project this happen accretion cost project and project finished through from the planned time. Development Project and Development of Magelang Type B Hospital located on Jl. Raya Magelang -Yogyakarta, Mungkidan, Village Danurejo, District Mertoyudan, Regency Magelang, Central Java is project development and development House sick beforehand. Moment implementation development project experience delay because of factor where the climate the beginning of the implementation process project enter season rainy day. With existence problem that is then will do analysis schedule construction with use PDM method ( Precedence Diagram Method ) on Development Project and Development of Magelang Type B Hospital use method acceleration (crashing) with additions time work ( overtime ) 1 hour, 2 hours, 3 hours and working hours shift . Where aim from analysis that is for knowing the total time and cost project and knowing time acceleration (crashing) efficient and costs economical. From the destination research this obtained results analysis in a manner economical cost acceleration (crashing) with working hours more shift economical with total costs project as big as Rp. 13,881,934,901.31 and for optimal duration time project the fastest that is with acceleration (crashing) additional working hours (overtime) 3 hours with duration time project finished for 154 days or 56% more fast from normal duration is 350 days
Integrated analysis of flood hazard, exposure and socioeconomic factors for effective disaster risk reduction in Indonesia
No full text岐阜大学(Gifu University)博士(工学)博士論文 (Doctoral dissertation)doctoral thesi
STUDI KOMPARASI METODE EOQ DAN POQ DALAM EFISIENSI BIAYA PERSEDIAAN MATERIAL PAVING BLOCK
No full textConstruction materials project is one of the businesses in the construction project to provide building materials in setting up a building. Rapid increasing development causing many businesses engaged in the field of construction materials. In its activities, the company is in dire need of accurate, relevant and efficient information. Information is not only needed for decision-making, but also for planning and controlling. One of the most important information is inventory information. Inventory information will determine the survival of the company due to lack of inventory. Therefore, the company needs inventory control calculation, or excess inventory will have direct impact on the survival of the company. This paper has objective of sand material analysis for paving block production. Inventory control and material measures that will be used to analyze are Economic Order Quantity (EOQ) and Period Order Quantity (POQ). The case study in this research is in the company of the paving block Merapi Volcanic Materials Innovation Centre - Islamic University of Indonesia (PIMVM - UII). Object of this research is on the sand material inventory. The data to be processed is the data of volume requirements, the cost of ordering, purchasing and storing of sand material. The data will be processed using the method Inventory Control EOQ and POQ. The result of this research showed the cost of EOQ is Rp. 22.505.098,-, and the cost of POQ is Rp. 44,577,478,-. From the results of these two methods, the difference in the price of sand on the EOQ is 49.5% less expensive than the POQ. It is because the cost of storage on the POQ greater than EOQ so the costs for materials become more expensive. Thus, the optimal inventory control methods in the production of paving blocks PIMVM-UII is EOQ
EVALUASI BIAYA DAN WAKTU PADA PROYEK PENGGANTIAN JEMBATAN DENGAN MENGGUNAKAN METODE KONSEP NILAI HASIL
No full textOn the implementation of project, there could have been problem in performance of time and cost that caused project that had been completed not to go according to plan. Therefore, performance evaluation is needed so that project can be carried out as planned and can also evaluate of project performance. In this research, time and cost performance will be evaluate using the earned value concept method in the Project for Replacement of the Nanga Tepuai-Nanga Semangut Section Bridge. Earned Value Concept can provide information about progress position of project time and cost performance in a certain period of time. The stages of this research begin with data collection of S-Curves, RAB, Weekly Progress Report and Financial Report. Next, determine three indicators, that is BCWS, BCWP and ACWP, which is then used to analyze the Schedule Variance, Schedule Performance Index, Cost Variance, Cost Performance Index, Estimation at Schedule, and Estimation at Completion. The result of this research showed, from time performance, in month-1 until month-6, value of SV is postitive and the value of SPI is more than 1, which means that the project is implemented faster than plan, and in month-7 the value of SV is 0 and the value of SPI is 1, which means that the project is implemented according to the plan. About cost performance, in month-1 the value of CV is negative and the value of CPI is less than 1, which means the costs incurred for implementating more than the plan, and in month-2 until month-7 the value CV is positive and the value of CPI is more than 1, which means the costs incurred for implementating less than the plan. The best EAS value is obtained in reporting month-2, it’s 3,63 months. The best EAC value is obtained in reporting month-4, it’s Rp. 7.239.951.844,01
Land Cover and Socioeconomic Analysis for Recommended Flood Risk Reduction Strategies in Java Island, Indonesia
No full textThis study utilizes a novel approach by analyzing land use and socioeconomic factors to enhance flood risk reduction strategies on Java Island, Indonesia. Using datasets from inaRISK hazard profiles, GlobCover land cover data, and Indonesian national statistics, the research offers a methodology for mitigating flood risks in diverse geographic and socioeconomic landscapes. The study found flood exposure rates ranging from 1.1% to 63%, averaging 26.5% across 114 districts, and revealed a correlation between high flood exposure and socioeconomic indicators. Cluster analysis identified four types of regions with unique flood risk management needs. Socioeconomic analysis showed significant income and education level variations across clusters, with urban areas having a higher Gross Regional Domestic Product and better education levels than rural areas. This socioeconomic divide is crucial for understanding different regions’ capacities to respond to and recover from floods. Integrating socioeconomic factors with land use and flood exposure data allows for tailored disaster risk reduction strategies. For high-risk urban areas, structural interventions and community-focused initiatives are recommended, while rural areas benefit from sustainable land management practices. This study highlights the need for a combined approach to flood risk management and strategies, and provides a model adaptable to similar regions
Analysis Implementation of Occupational Health and Safety Management System in Building Construction Project at “7 in 1” Project, Yogyakarta State University
No full textIn Indonesia, one of the guidance of Occupational Health andSafety Management System (OHSMS) is regulated in the Minister ofLabor Regulation number PER. 05/MEN/1996. This research aims to findout and analyze about the representation of OHSMS on “7 in 1” Project, Yogyakarta State University, based on this regulation. The method used inthis research is a quantitative method that is by direct observation in thefield and descriptive qualitative method that tends to use analysis. As forthe data collection in this research by doing interviews or unstructuredinterviews that intend to obtain information about the implementation ofOHSMS in related projects. Data related to the OHSMS that has beenobtained later will be discussed and will be compared with the Minister ofLabor Regulation. Based on the research that has been done, it can beconcluded that the OHSMS in “7 in 1” Project has implemented theOHSMS according to PER. 05/MEN/1996. However, due to severalfactors, there are cases that cause the OHSMS implementation is less thanmaximum, so it is necessary to increase the implementation of OHSMS inthe field to minimize accident at the construction project site
Analysis Implementation of Occupational Health and Safety Management System in Building Construction Project at “7 in 1” Project, Yogyakarta State University
No full textIn Indonesia, one of the guidance of Occupational Health andSafety Management System (OHSMS) is regulated in the Minister ofLabor Regulation number PER. 05/MEN/1996. This research aims to findout and analyze about the representation of OHSMS on “7 in 1” Project, Yogyakarta State University, based on this regulation. The method used inthis research is a quantitative method that is by direct observation in thefield and descriptive qualitative method that tends to use analysis. As forthe data collection in this research by doing interviews or unstructuredinterviews that intend to obtain information about the implementation ofOHSMS in related projects. Data related to the OHSMS that has beenobtained later will be discussed and will be compared with the Minister ofLabor Regulation. Based on the research that has been done, it can beconcluded that the OHSMS in “7 in 1” Project has implemented theOHSMS according to PER. 05/MEN/1996. However, due to severalfactors, there are cases that cause the OHSMS implementation is less thanmaximum, so it is necessary to increase the implementation of OHSMS inthe field to minimize accident at the construction project site
Flood Risk Assessment Focusing on Exposed Social Characteristics in Central Java, Indonesia
No full textThis study analyzes Indonesia, a country marked by significant socioeconomic diversity, to inform the development of holistic flood risk management strategies. We examine the relationship between flood-exposed populations and socioeconomic factors at the regency level, particularly in Central Java, using open data encompassing flood-prone areas, topography, population distribution, and socioeconomic indicators. Key findings include population exposure to flooding varies significantly across the 33 regencies and 7 cities, ranging from 1% to 61% in exposure rate. A notable 5.8-fold difference in average income exists among regencies, with income strongly correlating with higher education rates. Similarly, poverty rates correlate with low educational attainment; there was a very large range in the balance between the size of the exposed economy and the number of exposed poor population in each administrative division. Consequently, we propose a classification system that considers social vulnerability due to poverty, low-education, and economic impacts. The map reflecting these classifications is a risk map that facilitates the understanding of the risk characteristics and the relative risk magnitude of each administrative district. Our analysis underscores the importance of adapting flood risk management strategies to local socioeconomic characteristics and suggests the importance of the use of local wisdom
SEISMIC HAZARD WILAYAH KOTA SORONG PAPUA BARAT DAYA DENGAN MENGGUNAKAN METODE PSHA
No full textIndonesia merupakan wilayah rawan gempa bumi dikarenakan Indonesia menempati tiga lempeng besar dunia dan sembilan lempeng kecil. Lempeng tersebut saling bertemu dan membentuk jalur-jalur pertemuan yang kompleks. Interaksi antar lempeng tersebut membuat Indonesia sebagai wilayah rawan gempa bumi. Kota Sorong adalah salah satu kota di Provinsi Papua Barat Daya. Dimana daerah ini terdapat sesar Sorong yang merupakan retakan besar dalam kerak bumi dan selama 40 juta tahun telah melepaskan potongan daratan yang luas dari Papua sebelah utara dan pulau-pulau yang terbentuk karena adanya sesar ini, sesar Sorong bergeser kearah barat melintasi lautan dan menuju kearah Sulawesi. Banyak sesar aktif lainnya yang berpotensi menimbulkan gempa di Pulau Papua, seperti halnya Sesar Koor yang membentang dari Raja Ampat sampai Sorong. Sedangkan batas lempeng tektonik di utara Papua membentuk sesar geser yang terjadi di bagian utara yaitu Sesar Sorong-Yapen. Pada September 2016, terjadi gempa bumi dengan skala magnitudo sebesar 6,8 SR (Skala Ritcher) dengan kedalaman 10 meter dari permukaan laut dan berjarak 31 km arah timur laut kota Sorong. Gempa ini tergolong gempa besar yang dapat merusak struktur bangunan pada umumnya. Laporan menyebutkan bahwa terdapat sebanyak 62 orang terluka dan 257 rumah rusak. Seismic hazard analysis bertujuan untuk menentukan suatu batas intensitas gempa tertentu yang berlaku di daerah kajian berdasarkan suatu nilai kemungkinan yang akan terjadi atau terlampaui pada suatu periode tertentu. Metode yang digunakan untuk menentukan batas tersebut adalah Metode Probabilistik – Probabilistic Seismic Hazard Analysis (PSHA). Beban gempa yang bekerja pada struktur bangunan dapat ditentukan dengan melakukan perhitungan ground motion (gerakan tanah) dipermukaan. Parameter pergerakan tanah yang diperlukan untuk perencanaan infrastruktur tahan gempa adalah percepatan tanah maksimum (Peak Ground Acceleration/PGA) di batuan dasar dan Deagregasi Hazard.Indonesia merupakan wilayah rawan gempa bumi dikarenakan Indonesia menempati tiga lempeng besar dunia dan sembilan lempeng kecil. Lempeng tersebut saling bertemu dan membentuk jalur-jalur pertemuan yang kompleks. Interaksi antar lempeng tersebut membuat Indonesia sebagai wilayah rawan gempa bumi. Kota Sorong adalah salah satu kota di Provinsi Papua Barat Daya. Dimana daerah ini terdapat sesar Sorong yang merupakan retakan besar dalam kerak bumi dan selama 40 juta tahun telah melepaskan potongan daratan yang luas dari Papua sebelah utara dan pulau-pulau yang terbentuk karena adanya sesar ini, sesar Sorong bergeser kearah barat melintasi lautan dan menuju kearah Sulawesi. Banyak sesar aktif lainnya yang berpotensi menimbulkan gempa di Pulau Papua, seperti halnya Sesar Koor yang membentang dari Raja Ampat sampai Sorong. Sedangkan batas lempeng tektonik di utara Papua membentuk sesar geser yang terjadi di bagian utara yaitu Sesar Sorong-Yapen. Pada September 2016, terjadi gempa bumi dengan skala magnitudo sebesar 6,8 SR (Skala Ritcher) dengan kedalaman 10 meter dari permukaan laut dan berjarak 31 km arah timur laut kota Sorong. Gempa ini tergolong gempa besar yang dapat merusak struktur bangunan pada umumnya. Laporan menyebutkan bahwa terdapat sebanyak 62 orang terluka dan 257 rumah rusak. Seismic hazard analysis bertujuan untuk menentukan suatu batas intensitas gempa tertentu yang berlaku di daerah kajian berdasarkan suatu nilai kemungkinan yang akan terjadi atau terlampaui pada suatu periode tertentu. Metode yang digunakan untuk menentukan batas tersebut adalah Metode Probabilistik – Probabilistic Seismic Hazard Analysis (PSHA). Beban gempa yang bekerja pada struktur bangunan dapat ditentukan dengan melakukan perhitungan ground motion (gerakan tanah) dipermukaan. Parameter pergerakan tanah yang diperlukan untuk perencanaan infrastruktur tahan gempa adalah percepatan tanah maksimum (Peak Ground Acceleration/PGA) di batuan dasar dan Deagregasi Hazard
STUDI KOMPARASI METODE EOQ DAN POQ DALAM EFISIENSI BIAYA PERSEDIAAN MATERIAL – STUDI KASUS DI PERUSAHAAN PAVING BLOCK
No full textProyek bahan konstruksi yang merupakan bagian dari perekonomian Indonesia dalam mendukung pertumbuhan berbagai sarana dan prasarana dan menghadapi kondisi persaingan bisnis yang semakin kompetetif dituntut untuk terus meningkatkan kualitasnya dalam segala hal. Salah satu aspek penting dalam perusahaan, termasuk dalam perusahaan bahan konstruksi adalah persediaan material (inventory). Permasalahan yang terjadi adalah adanya penumpukan material (over stock material) atau kekurangan material (under stock material). Berdasarkan permasalahan tersebut, maka diperlukan suatu manajemen persediaan yang baik sehingga kebijaksanaan persediaan material/sistem persediaan dapat diterapkan untuk menetapkan dan menjamin tersedianya material dalam kualitas dan waktu yang tepat. Adapun metode yang sering dipakai didalam manajemen persediaan adalah metode jumlah pesanan ekonomis (EOQ) dan metode periode pesanan ekonomis (POQ). Metode EOQ mengasumsikan permintaan secara pasti dengan pemesanan yang dibuat secara konstan serta tidak adanya kekurangan persediaan. Metode Economic Order Quantity (EOQ) adalah salah satu metodedalam manajemen persediaan yang klasik dan sederhana. Metode Period Order Quantity (POQ) adalah salah satu metode pengendalian persediaan dimana kebutuhan komponen-komponen dipenuhi dengan menentukanjumlah periode permintaan yang harus dipenuhi (tidak termasuk permintaan nol) untuk setiap kali pemesanan.Berdasarkan perhitungan dengan menggunakan metode pemesanan dan pengendalian EOQ (Economic Order Quantity) dan POQ (Period Order Quantity) terhadap material pasir pada produksi paving block diPusat Inovasi Material Vulkanis Merapi – Universitas Islam Indonesia (PIMVM-UII), didapatkan hasil biaya pasir EOQ adalah Rp. 22.505.098,-, dan biaya pasir POQ adalah Rp. 44.577.478,-. Dari hasil kedua metodetersebut, selisih harga pasir pada EOQ adalah 49,5% lebih murah dibandingkan POQ. Hal ini dikarenakan biaya penyimpanan pada POQ lebih besar dibandingkan EOQ sehingga biaya yang harus dikeluarkan untukmaterial menjadi lebih mahal. Dengan demikian, metode pengendalian persediaan yang optimal pada produksi paving block PIMVM-UII adalah metode EOQ
