SIPGANG: Sistem Pendukung Keputusan Rekomendasi Magang Industri Berbasis Multi Attribute Utility Theory (MAUT)

Magang adalah proses penerapan bidang keilmuan dan keterampilan yang diperoleh di kampus pada dunia industry. Dalam pelaksanaannya, saat mahasiswa selesai melaksanakan magang ada beberapa mengeluhkan bahwa perusahaan tempat magang tidak sesuai dengan standar yang diinginkan, tidak sesuai bidang serta beban kerja yang berlebih sehingga dalam pelaksanaanya mahasiswa merasa tidak bisa optimal dalam menggunakan kemampuan yang dimiliki. Hal ini dikarenakan adanya subjektifitas dalam penentuan tempat magang, mahasiswa memilih sendiri tempat magang tersebut yang terkadang belum mengetahui job desk yang akan dikerjakan. Selain itu koordinator magang jurusan merekomendasikan tempat magang berdasarkan penilaian pembimbing magang saat visitasi padahal tidak mengetahui keadaan sebenarnya yang telah terlaksana. Sehingga dalam hal ini dibutuhkan adanya sebuah sistem yang mampu membantu dalam pengambilan keputusan rekomendasi tempat magang. Penelitian ini dibuat dengan menerapkan metode pengembangan system Rapid Development Prototyping (RAD) dan penilaian rekomendasi diperoleh menggunakan metode MAUT (Multi Attribute Utility Theory). Metode MAUT akan mengolah penilaian dari masing kriteria (jam kerja, bobot tugas yang diberikan selama magang, kesesuaian tugas dengan keahlian, standar perusahaan, penerapan K3 di perusahaan, fasilitas dan peralatan praktik untuk peserta magang serta bidang keahlian) sesuai dengan bobot yang ditentukan dengan tujuan memberikan penilaian dari sisi mahasiswa yang telah selesai pelaksanaan magang terhadap industri bersangkutan. Pengujian pada aplikasi SIPGANG penentuan rekomendasi industry menggunakan uji kuisioner dengan Sistem Usability Scale (SUS) dan didapatkan hasil akhir 72 yang menyatakan bahwa system dalam kategori layak untuk digunakan.

Condition assessment model of building indoor environment: a case study on educational buildings

PurposeThe purpose of this study is to develop a condition assessment (CA) model for a building's indoor 21 environments and to improve the building's asset management process.Design/methodology/approachThe methodology is based on dividing the building into spaces, which are the principal evaluated elements based on the building's indoor environmental quality (IEQ). An evaluation scheme was prepared for the identified factors and the analytical hierarchy process (AHP) technique was used to calculate the relative weight of each space inside the building as well as the contribution of each IEQ factors (IEQFs) in the overall environmental condition of each space inside the building. The multi-attribute utility theory (MAUT) was then applied to assess the environmental conditions of the building as a whole and its spaces. An educational building in Canada was evaluated using the developed model.FindingsEach space type was found to have its own IEQFs weights, which confirms the hypothesis that the importance and allocation of each IEQF are dependent on the function and tasks carried out in each space. A similar indoor environmental assessment score was calculated using the developed model and the building CA conducted by the facility management team; “89%” was calculated, using K-mean clustering, for the physical and environmental conditions.Originality/valueIEQ affects occupants' assessment of their quality of life (QOL). Despite the existence of IEQ evaluation models that correlate the building's IEQ and the occupants' perceived indoor assessments, some limitations have led to the necessity of developing a comprehensive model that integrates all factors and their sub-criteria in an assessment scheme that converts all the indoor environmental factors into objective metrics.

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

PurposeMany applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications.Design/methodology/approachLiterature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS.FindingsFive major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making.Practical implicationsThe results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes.Originality/valueThis study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.

Devising a method for identifying the model of multi-criteria expert estimation of alternatives

An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that has resulted in the possibility of obtaining a uniform stable solution of the problem. It was shown that in this case, the problem of parametric identification of the estimation model can be reduced to a standard linear programming problem. The scalar multicriterial estimates of alternatives obtained on the basis of the synthesized mathematical model make it possible to compare them among themselves according to the degree of efficiency and, thus, choose "the best" or rank them. A significant advantage of the proposed approach is the ability to use only non-numerical information about the decisions already made by experts to solve the problem of identifying the model parameters. This enables partial reduction of the degree of expert’s subjective influence on the outcome of decision-making and reduces the cost of the expert estimation process. A method of verification of the estimation model based on the principles of cross-validation has been developed. The results of computer modeling were presented. They confirmed the effectiveness of using the proposed method of parametric model identification to solve problems related to automation of the process of intelligent decision making.

Sistem Keputusan dengan Metode Multi Attribute Utility Theory dalam Penilaian Kinerja Pegawai

In an agency, it takes an employee who is able to carry out the work in accordance with the objectives in achieving a target becomes an assessment by the leaders. Not only attendance, but also leadership, commitment, cooperation, discipline, service orientation, integrity and ability to perform the task given also need to be used as an indicators . The purposes aim to motivate employees to be passionate in doing every activity and to have a positive influence on their work in facing challenges of globalization. Decision Support System is a need. It is called a Multi Attribute Utility Theory method is a quantitative comparison method that usually combines measurements of different risk costs and benefits. The data processed for employee performance assessment in this study as many as 20 samples sourced from the Population and Civil Registration Office of Pesisir Selatan Regency. This based on several specified criteria and weights. There are 6 data that are used in it. Such as service orientation, integrity, commitment, discipline, cooperation and employee performance goals. The result is able to support employee decisions using predetermined criteria. So that highest value is in the 6th alternative with a value of 1.8 and the lowest value on the 16th alternative with a value of 0. Later it will be a consideration for Population and Civil Registry Office of South Coast Regency to assess its employees in certain period. Employee performance assessment is proven to be able to help the South Coast Population and Civil Registration Office.

Pemilihan Susu Formula Menggunakan Metode Multi Attribute Utility Theory (MAUT)

<em>Susu formula merupakan sumber nutrisi pada bayi yang tidak mendapatkan Air Susu Ibu (ASI). Susu formula juga memiliki kandungan gizi yang sangat tinggi. Kandungan gizi tersebut meliputi DHA, Karbohidrat, Protein, Lemak, Vitamin, Natrium dan lain sebagainya. Susu formula yang baik tidak menimbulkan gangguan saluran cerna seperti diare, muntah atau kesulitan buang air besar. batuk, sesak, dan gangguan kulit. Tujuan penelitian ini untuk mengetahui pemilihan susu formula oleh ibu balita. Dalam pemilihan susu formula yang ada dipasaran, diperlukan sebuah solusi dalam pengambilan keputusan. Dalam penelitian ini penulis menerapkan metode Multi Attribute Utility Theory(MAUT). Metode MAUT digunakan untuk menentukan sebuah alternatif pilihan berdasarkan bobot dan kriteria yang sudah ditentukan. Kemudian dilakukan proses perankingan yang akan menentukan alternatif yang terbaik. Alternatif pada penelitian ini ada 6 yaitu Susu S26, Susu Nutrilon Royal, Susu Bebelac, Susu Lagtogen, Susu Chilkid, dan Susu SGM. Sedangkan Kriteria yang digunakan ada 4 yaitu Harga Susu, Kandungan Gizi, Jenis Susu dan Ketersediaan Susu Dipasaran.</em>

Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

Sistem Pendukung Keputusan Pembelian Mobil Baru Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut)

Abstrak: Mobil adalah salah satu alat transportasi darat yang penting pada saat sekarang ini. Memiliki mobil bagi sebagian besar kalangan masyarakat pada saat ini bagaikan suatu hal yang pokok dimana dapat membantu mereka dalam beraktivitas khususnya dalam bekerja.Sistem Pendukung Keputusan membantu mengambil keputusan memanfaatkan data dan model keputusan untuk menyelesaikan masalah-masalah yang tidak terstruktur dan semi terstruktur. SPK dirancang untuk menunjang keseluruhan tahapan pembuatan keputusan, yang dimulai dari tahapan identifikasi masalah. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dengan menggunkan metode Multi Attribute Utility Theory (Maut), dan dapat memberi manfaat bagi calon pembeli mobil baru. Metode Maut merupakan suatu skema yang evaluasi akhir, v (x) dari suatu objek x didefinisikan sebagai bobot yang dijumlahkan dengan suatu nilai yang relevan terhadap nilai dimensinya. Kelebihan dari metode ini adalah dapat mengetahui dengan cepat tentang status akhir atau hasil. Penerapan metode ini mampu memberikan hasil rekomendasi sesuai dengan kriteria yang diinginkan.Kata Kunci: Mobil, Sistem Pendukung Keputusan, Multi Attribute Utility Theory (Maut).Abstract: Cars are one of the essential means of land transportation today. Having a car for most of the community is like a thing that can help them in their activities, especially at work. Decision Support Systems help make decisions using data and decision models to solve unstructured and semi-structured problems. DSS is designed to support all stages of decision-making, starting from the problem identification stage. This study aims to build a decision support system using the Multi-Attribute Utility Theory (Death) method to benefit prospective new car buyers. The Death Method is a scheme in which the final evaluation, v (x) of an object x, is defined as the weight added to a value relevant to its dimension value. The advantage of this method is that it can quickly find out about the final status or result. Moreover, the application of this method can provide recommendations according to the desired criteria.Keywords: Cars, Decision Support Systems, Multi-Attribute Utility Theory (Death)