Relevant bibliographies by topics / Simple Multi-Attribute Rating (SMART)

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  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Simple Multi-Attribute Rating (SMART)'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Simple Multi-Attribute Rating (SMART)"

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Oktavianti, E., N. Komala, and F. Nugrahani. "Simple multi attribute rating technique (SMART) method on employee promotions." Journal of Physics: Conference Series 1193 (April 2019): 012028. http://dx.doi.org/10.1088/1742-6596/1193/1/012028.

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Auliya B, Muhammad, Yan Watequlis S, and Imam Fahrur R. "APLIKASI PENILAIAN KINERJA KARYAWAN MENGGUNAKAN METODE SMART (SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE)." Jurnal Informatika Polinema 1, no. 4 (2017): 34. http://dx.doi.org/10.33795/jip.v1i4.121.

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Untuk meningkatkan kualitas kinerja karyawan pada BRI Syariah KC Malang, pihak manajemen melakukan suatu proses penilaian (evaluasi) kinerja setiap karyawan. Untuk membantu dan mempermudah pihak manajemen dalam melakukan proses penilaian dan menentukan kategori karyawan berprestasi untuk setiap bulannya, maka dibangun suatu aplikasi pendukung keputusan dengan kriteria penilaian yang telah ditentukan oleh pihak manajemen yaitu integritas, kerjasama, kreatif, pelayanan pelanggan, profesionalisme dan orientasi tujuan. Masalah penentuan karyawan berprestasi tergolong ke dalam masalah yang bersifat multiobjective (banyak tujuan yang ingin dicapai) dan multicriterias (ada banyak kriteria yang menentukan dalam mencapai keputusan tersebut). SMART (Simple Multi – Attribute Rating Technique) adalah metode pengambilan keputusan multi kriteria yang didasarkan pada teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai–nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting ia dibandingkan dengan kriteria lain. Proses penilaian kinerja karyawan tersebut dipermudah dengan mengimplementasikan metode SMART yang diaplikasikan ke dalam tampilan web sehingga proses perhitungan menjadi terkomputerisasi dan tidak lagi dilakukan secara manual. Aplikasi ini dirancang dan dikembangkan untuk melakukan perhitungan kinerja karyawan di BRI Syariah KC Malang dan sudah diujicobakan pada beberapa manajer bank tersebut. Berdasarkan hasil ujicoba tersebut dapat disimpulkan bahwa aplikasi ini sesuai dengan kebutuhan dan pedoman dari instansi tersebut dalam melakukan penilaian kinerja karyawan dengan menggunakan metode SMART.
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Afani, Ghana Widya, Karina Auliasari, and Renaldi Primaswara Prasetya. "PENERAPAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE UNTUK PENENTUAN PENERIMA KREDIT KOPERASI." JATI (Jurnal Mahasiswa Teknik Informatika) 4, no. 1 (2020): 102–9. http://dx.doi.org/10.36040/jati.v4i1.2313.

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Koperasi adalah badan usaha yang beranggotakan perseorangan atau badan hukum koperasi yang melandaskan kegiatannya berdasarkan prinsip koperasi sekaligus sebagai gerakan ekonomi rakyat yang berdasarkan asas kekeluargaan. Dalam hal penentuan kredit di Koperasi, proses penyeleksian kriteria dalam menentukan kelayakan anggota untuk menerima kredit membutuhkan waktu yang lama.
 Pada penelitian ini, dibuatlah sistem pendukung keputusan untuk penentuan penerima kredit yang layak menggunakan metode SMART (SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE). Proses metode SMART ini dilakukan untuk menentukan kriteria, bobot kriteria dan alternatif untuk melakukan pengolahan data dan perangkingan.
 Hasil pengujian dari penerapan metode dalam sistem dan pengujian manual mempunyai hasil ranking perhitungan yang sama. Dan menyatakan dari pengujian fungsional sistem tersebut berjalan dengan cukup baik dan diharapkan dapat membantu menentukan penerima kredit koperasi yang layak.
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Windarto, Yudi Eko, Ike Pertiwi Windasari, and Moh Aufal Marom Arrozi. "IMPLEMENTASI SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE UNTUK PENENTUAN TEMPAT PEMBUANGAN AKHIR." Jurnal Pengembangan Rekayasa dan Teknologi 15, no. 1 (2019): 12. http://dx.doi.org/10.26623/jprt.v15i1.1484.

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<p><em>Garbage is a difficult problem to solve. Data in the Environmental sector still uses traditional or manual methods in processing. Data processing needs to be done to get accurate data and spreading the information more effectively and efficiently. Traditional or manual methods are irrelevant. It needs a system that makes data processing more effective, efficient and accurate.</em></p><p><em>Simple Multi Attribute Ranking Technique (SMART) is one of various Decision Support System methods that can provide assistance, efficiency and accuracy when processing of data. This method will be implemented in data processing to determine the best Final Disposal Areas (FDA) in the districts and will showing visually using a Geographic Information System (GIS). With the presence of this system, it will provide an overview of the best areas for final disposal areas to be built in the districts. In this case, data processing is carried out in Pemalang District, Central Java Province.</em></p><p><em>The fundamental difference between the SMART Method and the other methods is its simplicity and efficiency in processing multi criteria data. Parameters that greatly affect the ideal or are Land Use and Hydrogeology. This Geographic Information System provides the main menu, criteria weight values, relative weight values, alternative values and criteria, assessment and mapping factor values. </em></p>
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Taylor, James M., and Betty N. Love. "Simple multi-attribute rating technique for renewable energy deployment decisions (SMART REDD)." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 11, no. 3 (2014): 227–32. http://dx.doi.org/10.1177/1548512914525516.

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Fitriani, Nurhayati, Ika Oktavia Suzanti, Achmad Jauhari, and Ach Khozaimi. "Application Monitoring and Evaluation using SMART (Simple Multi attribute Rating Technique) Method." Journal of Physics: Conference Series 1569 (July 2020): 022090. http://dx.doi.org/10.1088/1742-6596/1569/2/022090.

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Cholil, Saifur Rohman, Agusta Praba Ristadi Pinem, and Vensy Vydia. "Implementasi metode Simple Multi Attribute Rating Technique untuk penentuan prioritas rehabilitasi dan rekonstruksi pascabencana alam." Register: Jurnal Ilmiah Teknologi Sistem Informasi 4, no. 1 (2018): 1. http://dx.doi.org/10.26594/register.v4i1.1133.

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Penanganan bencana alam di Indonesia menjadi hal yang sangat penting untuk segera dilakukan dalam menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana alam. Penentuan prioritas rehabilitasi dan rekonstruksi pascabencana alam dilakukan dengan pendekatan metodologi Sistem Pendukung Keputusan (SPK) untuk membantu menyelesaikan permasalahan dalam proses pengambilan keputusan. Metode Simple Multi Attribute Rating Technique (SMART) akan diterapkan untuk menentukan prioritas wilayah pada rencana aksi rehabilitasi dan rekonstruksi pascabencana alam karena kesederhanaannya pada proses perhitungan dalam pemilihan alternatif yang telah dirumuskan. Tujuan penelitian ini adalah menghasilkan SPK dengan mengimplementasikan metode SMART untuk menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana, sehingga proses penanggulangan bencana akan tepat sasaran dan sesuai dengan peraturan penanggulangan bencana alam. Proses validasi pada penelitian ini adalah dengan membandingkan hasil metode dengan data fakta atau data kejadian (data histori). Koefisien Korelasi Rank Spearman yang diperoleh yaitu 0,95. Hal ini menunjukan bahwa, metode SMART bisa digunakan untuk menentukan prioritas rehabilitasi dan rekonstruksi pascabencana alam.The handling of natural disasters in Indonesia becomes a very important thing to be done in determining the priority of rehabilitation and reconstruction of post-disaster natural areas. The prioritization of post-disaster natural rehabilitation and reconstruction is done by methodology of Decision Support System (DSS) to help solve problems in decision making process. The Simple Multi Attribute Rating Technique (SMART) method will be applied to determine the priority of the region in the post-disaster natural rehabilitation and reconstruction action plan because of its simplicity in the calculation process in the alternative selection that has been formulated. The purpose of this research is to produce SPK by implementing SMART method to determine priority of rehabilitation and reconstruction of post disaster area, so that disaster management process will be appropriate target and in accordance with natural disaster management regulation. The validation process in this research is by comparing the method result with fact data or event data (historical data). Spearman Rank Correlation Coefficient obtained is 0.95. This indicates that the SMART method can be used to determine priorities for post-disaster rehabilitation and reconstruction.
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Ukkas, Muhammad Irwan, Heny Pratiwi, and Dessy Purnamasari. "SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SUPPLIER BAHAN BANGUNAN MENGGUNAKAN METODE SMART (SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE) PADA TOKO BINTANG KERAMIK JAYA." Sebatik 16, no. 1 (2016): 34–43. http://dx.doi.org/10.46984/sebatik.v16i1.73.

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Sistem Pendukung Keputusan (SPK) adalah sistem yang dapat membantu seseorang dalam mengambil keputusan yang akurat dan tepat sasaran. Banyak permasalahan yang dapat diselesaikan dengan menggunakan SPK, salah satunya adalah Penentuan Supplier Bahan Bangunan dengan menggunakan bantuan metode SMART (Simple Multi Attribute Rating Technique) Pada Toko Bintang Keramik Jaya.
 Tujuan dari penelitian ini adalah untuk menghasilkan Sistem Pendukung Keputusan Penentuan Supplier Bahan Bangunan Menggunakan Metode SMART (Simple Multi Attribute Rating Technique) Pada Toko Bintang Keramik Jaya dengan harapan seleksi Supplier secara obyektif. Dengan menggunakan bahasa pemrograman Visual Basic 6.0 dan databasenya menggunakan Microsoft Access. Dalam penelitian ini, teknik pengumpulan data yang digunakan adalah studi pustaka, observasi dan wawancara.
 Hasil dari penelitian ini adalah dibuatnya sistem pendukung keputusan untuk mengetahui Penentuan Supplier yang layak, dipertimbangkan, dan belum terpilih untuk dipilih. Pengguna dapat menginputkan data Supplier, data kriteria, data subkriteria. Kemudian sistem akan mencari solusi dengan metode SMART. Setelah keputusan didapatkan, maka sistem akan menampilkan keputusan tersebut.
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Lestari, Sri, and Muhammad Reza Romahdoni. "Decision Support System for Service Quality Using SMART and Fuzzy ServQual Methods." JUITA: Jurnal Informatika 9, no. 1 (2021): 83. http://dx.doi.org/10.30595/juita.v9i1.9644.

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The Regional Technical Implementation Unit of the Tresna Werdha Social Home for the Elderly of Natar South Lampung does not yet have a systematic calculation, which can be a parameter of the quality level of each service. This study develops a system to solve the problem of the calculation gap between perceptions and expectations in determining the quality level of each service, namely the Decision Support System using the Simple Multi-Attribute Rating Technique Method (SMART) and Fuzzy Service Quality. The results showed that the SMART method obtained an accuracy rate of 85.71%, 75.00% Precision, 100% Recall, and 100% Specificity, while the Fuzzy Service Quality method obtained an accuracy rate of 71.43%, 66.67% Precision, 66.67% Recall, and 75.00% Specificity. So that the Simple Multi-Attribute Rating Technique Method (SMART Method) is superior, so it is more appropriate to solve the problem of decision-making on the level of service quality at the Regional Technical Implementation Unit of the Tresna Werdha Elderly Social Home, Natar South Lampung.
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Amalia, Veradilla, and Syafi’ul Hamidani. "Sistem Pendukung Keputusan Rekrutmen Anggota KPPS Pemilu dengan Metode Simple Multi Attribute Rating Technique." Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 11, no. 2 (2020): 232–44. http://dx.doi.org/10.31849/digitalzone.v11i2.5204.

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Pelaksanaan pemilu saat ini dilakukan dengan sistem pemilihan serentak dan merupakan sejarah baru dalam proses demokrasi di Indonesia. KPPS merupakan kelompok penyelenggara pemungutan suara yang berada di garis depan proses pemilihan umum. Saat ini pemilihan anggota KPPS di Kota Lubuklinggau dilakukan oleh PPS melalui koordinasi dengan RT setempat untuk memilih secara langsung anggota KPPS. Hal tersebut menjadi permasalahan yaitu anggota KPPS yang dipilih belum sesuai dengan kriteria. Untuk mengatasi permasalahan tesebut, tentunya dibutuhkan sistem pendukung keputusan dalam melakukan rekrutmen anggota KPPS Pemilu yaitu sistem pendukung keputusan rekrutmen anggota KPPS Pemilu menggunakan metode SMART yang terdiri 4 kriteria yang dihasilkan dari uji validitas kriteria dan 50 alternatif berdasarkan teknik sampling kuota.Tentunya dengan sistem ini diharapkan dapat menjadi solusi dalam menyelesaikan masalah proses rekrutmen anggota KPPS sesuai dengan kriteria yang diamanahkan dalam peraturan komisi pemilihan umum di Indonesia. Adapun Model pengembangan sistem yang digunakan dalam membangun sistem adalah model waterfall. Dengan dibangunnya sistem pendukung keputusan rekrutmen anggota KPPS Pemilu dapat membantu PPS dalam pengambilan keputusan menentukan anggota KPPS yang berkualitas.
 
 Kata kunci:KPPS, Pemilu, SPK, SMART
 
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 The current election is carried out using a simultaneous electoral system and is a new history in the democratic process in Indonesia. KPPS is a polling group that is at the forefront of the general election process. Currently the election of KPPS members in Lubuklinggau City is carried out by PPS in coordination with the local RT to directly elect KPPS members. This becomes a problem, namely that the elected KPPS members do not match the criteria. To overcome this problem, of course, a decision support system is needed in recruiting Election KPPS members, namely a decision support system for the recruitment of Election KPPS members using the SMART method which consists of 4 criteria resulting from the validity of the criteria and 50 alternatives based on the quota sampling technique. Of course, this system is expected to be a solution in solving the problem of the recruitment process for KPPS members in accordance with the criteria mandated in the general election commission regulations in Indonesia. The system development model used in building the system is the waterfall model. With the construction of a decision support system for the recruitment of members of the Election KPPS, it can assist PPS in making decisions to determine quality KPPS members. Keywords:KPPS, Election, SPK, SMART
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Dissertations / Theses on the topic "Simple Multi-Attribute Rating (SMART)"

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Yadekar, Yaser. "A framework to manage uncertainties in cloud manufacturing environment." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11776.

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This research project aims to develop a framework to manage uncertainty in cloud manufacturing for small and medium enterprises (SMEs). The framework includes a cloud manufacturing taxonomy; guidance to deal with uncertainty in cloud manufacturing, by providing a process to identify uncertainties; a detailed step-by-step approach to managing the uncertainties; a list of uncertainties; and response strategies to security and privacy uncertainties in cloud manufacturing. Additionally, an online assessment tool has been developed to implement the uncertainty management framework into a real life context. To fulfil the aim and objectives of the research, a comprehensive literature review was performed in order to understand the research aspects. Next, an uncertainty management technique was applied to identify, assess, and control uncertainties in cloud manufacturing. Two well-known approaches were used in the evaluation of the uncertainties in this research: Simple Multi-Attribute Rating Technique (SMART) to prioritise uncertainties; and a fuzzy rule-based system to quantify security and privacy uncertainties. Finally, the framework was embedded into an online assessment tool and validated through expert opinion and case studies. Results from this research are useful for both academia and industry in understanding aspects of cloud manufacturing. The main contribution is a framework that offers new insights for decisions makers on how to deal with uncertainty at adoption and implementation stages of cloud manufacturing. The research also introduced a novel cloud manufacturing taxonomy, a list of uncertainty factors, an assessment process to prioritise uncertainties and quantify security and privacy related uncertainties, and a knowledge base for providing recommendations and solutions.
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Book chapters on the topic "Simple Multi-Attribute Rating (SMART)"

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S. Jovanovic, Aleksandar, Somik Chakravarty, and Marjan Jelic. "Resilience and Situational Awareness in Critical Infrastructure Protection: An Indicator-Based Approach." In Issues on Risk Analysis for Critical Infrastructure Protection. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97810.

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The paper proposes a concept enabling quantitative assessment of resilience in critical entities developed in the European projects SmartResilience and InfraStress. The concept aims at combining simple communication-related advantages of simplified assessments results (such as “resilience very high” or “resilience very low”) with the advantages of the in-depth assessments (e.g. analysis of multiple sensor data). The paper describes the main elements of the innovative, indicator-based concept, starting with the “resilience cube” at the top, and continuing with the multi-level, hierarchical, indicator-based assessment methodology. The concept allows analyzing and assessing different aspects of practical resilience management. One can assess the resilience level of an entity at a given point in time, monitor their resilience level over time and benchmark it. One can also model and analyze the functionality of a system during a particular (threat) scenario, as well as stress-test it. The same methodology allows to optimize investment in improving resilience (e.g. in further training, in equipment, etc.), in a transparent and intuitive way. A resilience indicator database (over 4,000 indicators available) and a suite of tools (primarily developed within SmartResilience and InfraStress projects) and a repository of over 20 application cases and 300 scenarios, support application of the methodology. The concept has been discussed and agreed with over 50 different organizational stakeholders and is being embedded into the new ISO 31050 standard currently under development. Its “life-after-the-project” will be ensured by the dedicated “resilience rating initiative (ERRA)”. Although the concept and the tool in the form of the “ResilienceTool” were developed primarily for the resilience assessment of critical infrastructure (the “smart” ones in particular), they can be used for resilience assessment of other systems and through the extension of the, already initiated, implementation of AI techniques (machine learning) to make the ResilienceTool even more versatile and easier to use in the future.
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Buchal, Ralph O., and Chris K. Mechefske. "Comparison of Simple Multi-Attribute Rating Technique and Fuzzy Linguistic Methods in Multiattribute Decision Making." In Condition Monitoring and Diagnostic Engineering Management. Elsevier, 2001. http://dx.doi.org/10.1016/b978-008044036-1/50022-6.

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Conference papers on the topic "Simple Multi-Attribute Rating (SMART)"

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Tejawati, Andi, Herman Santoso Pakpahan, and Wahyu Susantini. "Drugs Diagnose Level using Simple Multi-Attribute Rating Technique (SMART)." In 2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT). IEEE, 2018. http://dx.doi.org/10.1109/eiconcit.2018.8878564.

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Mahdiana, Deni, and Nidya Kusumawardhany. "The Combination of Analytical Hierarchy Process and Simple Multi-Attribute Rating Technique for The Selection of The Best Lecturer." In 2020 International Conference on Smart Technology and Applications (ICoSTA). IEEE, 2020. http://dx.doi.org/10.1109/icosta48221.2020.1570615695.

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Marlinda, Linda, Yusuf Durachman, Eva Zuraidah, Tukino, Widivawati, and Sabar Hanadwiputra. "Selection of E-Marketplaces Factors Affecting Indonesian Women's Business Loyalty Using Simple Multi-Attribute Rating Technique (SMART) Method." In 2020 8th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2020. http://dx.doi.org/10.1109/citsm50537.2020.9268823.

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Lootsma, F. A. "Ratio and Difference Estimation in Multi-Criteria Decision Analysis." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0416.

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Abstract Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on the axis of desirability. Next, we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the Analytic Hierarchy Process (AHP), typically based on a pairwise-comparison method, is concerned with category judgement of ratio magnitudes, whereas the Simple Multi-Attribute Rating Technique (SMART) essentially uses the orders of magnitude of these ratios. This provides a common basis for the analysis of the methods in question and for a cross-validation of their results. The present paper summarizes the basic assumptions and the relationship between the two methods.
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Syakur, Muhammad, Sigit Putro, Achmad Roviqi, et al. "Determine The Position of Basketball Players Using SMART (Simple Multi-Atribute Rating Technique) Method." In The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus. EAI, 2018. http://dx.doi.org/10.4108/eai.24-10-2018.2280567.

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Sari, Julia Purnama, Rachmat Gernowo, and Jatmiko Endro Suseno. "Deciding Endemic Area of Dengue Fever using Simple Multi Attribute Rating Technique Exploiting Ranks." In 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2018. http://dx.doi.org/10.1109/iciteed.2018.8534882.

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Dewi, Noviani, Riffa Haviani Laluma, Gunawansyah, Erna Garnia, Didin Saepudin, and Nenny Hendajany. "Employee Performance Assessment System Design Based on 360 Degrees Feedback and Simple Multi-Attribute Rating Technique Method Integration." In 2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2020. http://dx.doi.org/10.1109/tssa51342.2020.9310873.

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Dewi, Noviani, Riffa Haviani Laluma, Gunawansyah, Erna Garnia, Didin Saepudin, and Nenny Hendajany. "Employee Performance Assessment System Design Based on 360 Degrees Feedback and Simple Multi-Attribute Rating Technique Method Integration." In 2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2020. http://dx.doi.org/10.1109/tssa51342.2020.9310873.

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Putra, Januar Adi, Agustinus Mariano Galwargan, and Nelly Oktavia Adiwijaya. "Decision Support System Scheme Using Forward Chaining And Simple Multi Attribute Rating Technique For Best Quality Cocoa Beans Selection." In 2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2018. http://dx.doi.org/10.1109/eecsi.2018.8752849.

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Tanzil, Alvin Abraham, Gabrielle Maassen, and Justin Smoak. "Innovative Design of High-Performance Multi-Loop Rope Lifting System." In ASME 2018 1st International Offshore Wind Technical Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/iowtc2018-1039.

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In today’s world, the advent of bigger and higher building structures has pushed the limits of engineered lifts. A single heavy payload is preferable to many small loads. This practice cuts down on lead time, infrastructure and manpower to finish the job. This is where high-performance synthetic rope solutions are needed. Light weight yet high-strength fiber provides faster and safer rigging. These lifting operations require rigorous design and analysis to determine the ideal application parameters for the lift planning process... Simply, it can be a headache. Samson engineers, backed by historical big data and testing capabilities, have managed to simplify the process of finding the right sling in the most efficient way. Using proprietary technology, the time of choosing any rope size from available inventory to build that hi-capacity sling has come. The system is built to offer multiple options through its smart multi-loop sling configurator. Current capability includes building slings with rope ranging in size from 16 to 168mm, to a maximum number of 8 loops — which translates to the possibility of reaching up to 4,000mT maximum break strength on a short length of 3 meters. Smaller bend radius ratio is also possible because the system interacts with individual ropes, while working as a system. The use of a mechanical splice also allows for tighter length tolerances. Having this breakthrough at the tip of your fingers will set you apart.
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