Journal of Science and Application Technology最新文献_第4页

Feasibility Study of Shallot Production in Financial Aspect in Central Lampung (Case Study : Kota Gajah) 南榜省中部大葱生产的财务可行性研究(以哥打加亚为例)

Journal of Science and Application Technology Pub Date : 2019-05-09 DOI: 10.35472/281423

Dian Fajarika, Rizqa Ula Fahadha, Intan Mardiono, Nur Miswari

{"title":"Feasibility Study of Shallot Production in Financial Aspect in Central Lampung (Case Study : Kota Gajah)","authors":"Dian Fajarika, Rizqa Ula Fahadha, Intan Mardiono, Nur Miswari","doi":"10.35472/281423","DOIUrl":"https://doi.org/10.35472/281423","url":null,"abstract":"Shallot is superior vegetable commodity in which the demand has a tendency to increase. The growth of demand for commodity is in line with the growth of populationn in Indonesia. Shallot is included in 7 (seven) basic foodstuffs targeted by Ministry ofn Agriculture in Indonesia. The need of shallot is supplied by Central Java, East Java, West Java andn West Nusa Tenggara. Shallot commodities in Indonesia heavily depend on the season, then government makes a regulation about shallot import for maintaining stability of price. To anticipate the occurrence of imports, the government is focused on inviting local governments to create a farming center of shallot. Lampung Province is one of the provinces that has suitable natural resources for shallot farming. The purpose of this research is to analyze the financial feasibility of shallot farming development based on NPV (Net Present Value), Net B/C (benefit/cost), IRR (Internal Rate Return), and payback period criteria. The financial feasibility analysis through the calculation of cost and benefit components obtained from shallot business and investment criteria to determine the level of feasibility in quantitative terms. The result showed that NPV is IDR. 16,747,507.38, Net B/C 1.45, IRR for 4 period is 66.03% and payback period is 3.58.","PeriodicalId":383398,"journal":{"name":"Journal of Science and Application Technology","volume":"10 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122627706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Digital Rock Physics Investigation in Outcrop Sandstone Reservoir 露头砂岩储层数字岩石物理研究

Journal of Science and Application Technology Pub Date : 2019-04-30 DOI: 10.35472/281484

H. Handoyo, F. Fatkhan, F. Latief, R. Rizki, H. Hutami

引用次数: 1

Comparative Story Drift Analysis of High Rise Building Structure Between X-Braced Frame and Two Story X-Braced Frame x -支撑框架与二层x -支撑框架高层建筑结构层间位移比较分析

Journal of Science and Application Technology Pub Date : 2019-04-25 DOI: 10.35472/281466

Fauzan Ahmad Sayed, N. B. Wirawan, A. Yudi

引用次数: 1

Analysis Image-Based Automated 3D Crack Detection for Post-disaster Bridge Assessment in Flyover Mall Boemi Kedaton 基于图像的桥梁灾后评估三维裂缝自动检测方法

Journal of Science and Application Technology Pub Date : 2019-04-22 DOI: 10.35472/281449

M. Nadi, S. A. Fauzan

{"title":"Analysis Image-Based Automated 3D Crack Detection for Post-disaster Bridge Assessment in Flyover Mall Boemi Kedaton","authors":"M. Nadi, S. A. Fauzan","doi":"10.35472/281449","DOIUrl":"https://doi.org/10.35472/281449","url":null,"abstract":"Recovery efforts following a disaster can be slow and painstaking work, and potentially put responders in harm's way. A system which helps identify defects in critical building elements (e.g., concrete columns) before responders must enter a structure can save lives. In this paper we propose a system, centered around an image based three-dimensional (3D) reconstruction method and a new 3D crack detection algorithm. The image-based method is capable of detecting and analyzing surface damages in 3D. We also demonstrate how the robotics can be used to gather the images from which the reconstruction is created, further reducing the risk to responders. In this regard, image-based 3D reconstructions represent a convenient method of creating 3D models because most robotic platforms can carry a lightweight camera payload. Additionally, the proposed 3D crack detection algorithm also provides the advantage of being able to operate on 3D mesh models regardless of their data collection source. Our experimental results show that 3D crack detection algorithm performs well constructions, successfully identifying cracks, reconstructing 3D profiles, and measuring geometrical characteristics on damaged elements and not finding any cracks on intact ones.","PeriodicalId":383398,"journal":{"name":"Journal of Science and Application Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131219716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2