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Abstrak :
[ABSTRAK
Risiko dan ketidakpastian pasti ada dalam setiap pengambilan keputusan. Oleh karena itu, perlu dilakukan analisis keputusan untuk mengatasi hal tersebut. Banyak sekali metode analisis keputusan, seperti Metode Expected Monetary Value (EMV), Teori Pilihan, Teori Portfolio, dan lain-lain. Namun, tidak semua dapat diaplikasikan dalam kondisi kehidupan nyata. Dalam hal risiko, industri minyak dan gas bumi (migas) adalah industri yang memiliki tingkat risiko yang tinggi, terutama dalam hal investasi. Oleh karena itu, perusahaan migas memerlukan suatu metode analisis keputusan untuk menghadapi risiko tersebut. Hanya saja, teknik analisis keputusan yang digunakan tiap perusahaan belum tentu sama. Penelitian ini akan mencari teknik analisis keputusan yang cocok untuk digunakan di perusahaan migas yang beroperasi di Indonesia. Teknik analisis keputusan tersebut akan dikaji performanya dengan cara menganalisis nilai ekonomis sebuah proyek dan nanti hasilnya akan dibandingkan dengan nilai ekonomis proyek yang menggunakan teknik analisis keputusan konvensional. Hasil penelitian ini menunjukkan bahwa teknik analisis keputusan XYZ-PDEP yang digunakan oleh K3S XYZ terbukti menghasilkan nilai keekonomian proyek yang lebih baik daripada teknik analisis keputusan konvensional. Nilai keekonomian tinggi yang dicapai dengan penggunaan teknik analisis keputusan XYZ-PDEP dibandingkan dengan menggunakan teknik analisis keputusan konvensional menyimpulkan bahwa terdapat hubungan antara penggunaan teknik pengambilan keputusan yang berbeda dengan performa yang dihasilkan.

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ABSTRACT
Risk and uncertainty will always exist in every decision making. Therefore, decision analysis is needed in order to overcome those problems. There are numerous decision analysis methods, such as Expected Monetary Value (EMV), Option Theory, Portfolio Theory, etc. Unfortunately, not all of them are applicable in real life conditions. Concerning risks, the oil and gas industry is the one industry that has high risks, especially in investment. Therefore, oil and gas companies need a decision analysis method to face those risks. Nonetheless, decision analysis techniques differ from one company to others. This research will find which decision analysis technique is the most suitable one for oil and gas companies in Indonesia. The decision analysis technique?s performance will be evaluated through one of its project?s economic value and the results are then compared with the same project being evaluated by conventional decision analysis technique. The results of this research shows that XYZ-PDEP decision analysis technique that is used by K3S XYZ proved to produce a better project economic value rather than conventional decision analysis technique. The high economic value that was produced by XYZ-PDEP decision analysis technique compared to conventional decision analysis technique concludes that there is a relation between the utilization of different decision analysis technique with each of its performance outcome.;Risk and uncertainty will always exist in every decision making. Therefore, decision analysis is needed in order to overcome those problems. There are numerous decision analysis methods, such as Expected Monetary Value (EMV), Option Theory, Portfolio Theory, etc. Unfortunately, not all of them are applicable in real life conditions. Concerning risks, the oil and gas industry is the one industry that has high risks, especially in investment. Therefore, oil and gas companies need a decision analysis method to face those risks. Nonetheless, decision analysis techniques differ from one company to others. This research will find which decision analysis technique is the most suitable one for oil and gas companies in Indonesia. The decision analysis technique?s performance will be evaluated through one of its project?s economic value and the results are then compared with the same project being evaluated by conventional decision analysis technique. The results of this research shows that XYZ-PDEP decision analysis technique that is used by K3S XYZ proved to produce a better project economic value rather than conventional decision analysis technique. The high economic value that was produced by XYZ-PDEP decision analysis technique compared to conventional decision analysis technique concludes that there is a relation between the utilization of different decision analysis technique with each of its performance outcome.;Risk and uncertainty will always exist in every decision making. Therefore, decision analysis is needed in order to overcome those problems. There are numerous decision analysis methods, such as Expected Monetary Value (EMV), Option Theory, Portfolio Theory, etc. Unfortunately, not all of them are applicable in real life conditions. Concerning risks, the oil and gas industry is the one industry that has high risks, especially in investment. Therefore, oil and gas companies need a decision analysis method to face those risks. Nonetheless, decision analysis techniques differ from one company to others. This research will find which decision analysis technique is the most suitable one for oil and gas companies in Indonesia. The decision analysis technique?s performance will be evaluated through one of its project?s economic value and the results are then compared with the same project being evaluated by conventional decision analysis technique. The results of this research shows that XYZ-PDEP decision analysis technique that is used by K3S XYZ proved to produce a better project economic value rather than conventional decision analysis technique. The high economic value that was produced by XYZ-PDEP decision analysis technique compared to conventional decision analysis technique concludes that there is a relation between the utilization of different decision analysis technique with each of its performance outcome.;Risk and uncertainty will always exist in every decision making. Therefore, decision analysis is needed in order to overcome those problems. There are numerous decision analysis methods, such as Expected Monetary Value (EMV), Option Theory, Portfolio Theory, etc. Unfortunately, not all of them are applicable in real life conditions. Concerning risks, the oil and gas industry is the one industry that has high risks, especially in investment. Therefore, oil and gas companies need a decision analysis method to face those risks. Nonetheless, decision analysis techniques differ from one company to others. This research will find which decision analysis technique is the most suitable one for oil and gas companies in Indonesia. The decision analysis technique?s performance will be evaluated through one of its project?s economic value and the results are then compared with the same project being evaluated by conventional decision analysis technique. The results of this research shows that XYZ-PDEP decision analysis technique that is used by K3S XYZ proved to produce a better project economic value rather than conventional decision analysis technique. The high economic value that was produced by XYZ-PDEP decision analysis technique compared to conventional decision analysis technique concludes that there is a relation between the utilization of different decision analysis technique with each of its performance outcome., Risk and uncertainty will always exist in every decision making. Therefore, decision analysis is needed in order to overcome those problems. There are numerous decision analysis methods, such as Expected Monetary Value (EMV), Option Theory, Portfolio Theory, etc. Unfortunately, not all of them are applicable in real life conditions. Concerning risks, the oil and gas industry is the one industry that has high risks, especially in investment. Therefore, oil and gas companies need a decision analysis method to face those risks. Nonetheless, decision analysis techniques differ from one company to others. This research will find which decision analysis technique is the most suitable one for oil and gas companies in Indonesia. The decision analysis technique’s performance will be evaluated through one of its project’s economic value and the results are then compared with the same project being evaluated by conventional decision analysis technique. The results of this research shows that XYZ-PDEP decision analysis technique that is used by K3S XYZ proved to produce a better project economic value rather than conventional decision analysis technique. The high economic value that was produced by XYZ-PDEP decision analysis technique compared to conventional decision analysis technique concludes that there is a relation between the utilization of different decision analysis technique with each of its performance outcome.]

Abstrak :
Sistem produksi dalam industri manufaktur terbagi menjadi dua jenis, yaitu strategi Make-to-stock dan Make-to-order yang dibedakan berdasarkan waktu pesanan diterima dan pelaksanaan proses produksi. Dalam sistem MTO, pesanan pelanggan menjadi pemicu untuk terjadinya proses selanjutnya dan menjadi titik kritis dari sistem. Keputusan untuk menerima dan menolak pesanan yang masuk merupakan kegiatan yang paling penting karena akan berdampak jangka panjang terhadap profitabilitas dan reputasi perusahaan secara keseluruhan. Kegiatan ini merupakan keputusan yang sangat strategis, sehingga diperlukan dukungan dalam kegiatan ini. Penelitian ini menyelidiki bagaimana metode penerimaan pesanan dalam strategi MTO dilakukan dan merancang penilaian penerimaan pesanan menggunakan metode MCDA sehingga dapat digunakan sebagai pendukung dalam pengambilan keputusan penerimaan pesanan. Metode AHP digunakan untuk mendapatkan prioritas faktor penerimaan pesanan dengan data yang diperoleh dari hasil wawancara para pakar. Hasil AHP menunjukkan prioritas dalam menerima pesanan yaitu ketersediaan bahan baku, harga, kemampuan produksi, situasi pasar, pelanggan, target, pemenuhan pesanan, dan kondisi eksternal. EMV dihitung untuk setiap kriteria dan risiko yang selanjutnya digunakan untuk membantu membuat keputusan yang tepat dalam penerimaan pesanan. Seluruh metodelogi dalam penelitian ini dijelaskan dengan menggunakan studi di industri pelapisan baja di Indonesia. Studi tersebut menunjukkan EMV dan AHP dapat digunakan untuk memberikan penilaian kelayakan terhadap pesanan yang diterima. ......The production system in the manufacturing industry is divided into two types, namely the Make-to-stock (MTS) and Make-to-order (MTO) strategies which are distinguished by the time orders are received and the execution of the production process. In the MTO system, the customer's order becomes a trigger for the next process and becomes a critical point of the system. The decision to accept and reject incoming orders is the most important activity because it will have a long-term impact on the overall profitability and reputation of the company. This activity is a very strategic action, so support is needed in this activity. This study investigates how the method of receiving orders in the MTO strategy is carried out and designs an assessment of order acceptance using the MCDA method so that it can be used as a support in making orders for acceptance decisions. The AHP method was used in this study to obtain priority order criteria with data obtained from expert interviews. The results of AHP show the order of importance in receiving orders, namely the availability of raw materials, prices, production capabilities, market situations, customers, targets, order fulfillment, and external conditions. EMV is calculated for each criterion and risk which is then used to help make the right decisions in accepting orders. The entire methodology in this study is explained by using cases in the steel coating industry in Indonesia. The case study shows that EMV and AHP can be used to provide a feasibility assessment of orders received.

Abstrak :
Penilaian kesesuaian atas standar dan regulasi dilakukan oleh Lembaga Penilaian Kesesuaian (LPK)/Conformity Assessment Body (CAB). Kegiatan penilaian kesesuaian pada barang, jasa, sistem, atau proses dilakukan melalui Pengujian (Testing), Inspeksi (Inspection) dan / atau Sertifikasi (Certification) (TIC). LPK juga dikenal sebagai perusahaan jasa survei. Perusahaan jasa survei di Indonesia memiliki banyak layanan dengan pelanggan yang tersebar di seluruh Indonesia. Banyaknya pelanggan membuat data transaksi menjadi besar yang perlu dilakukan segmentasi untuk menentukan strategi penjualan dan pemasaran. Berdasarkan penelitian sebelumnya, belum banyak penelitian yang ditemukan yang menjadikan perusahaan jasa sebagai objek segmentasi, khususnya perusahaan jasa survei. Penelitian ini melakukan segmentasi pelanggan perusahaan jasa survei menggunakan Recency, Frequency, & Monetary Value (RFM), dan K-Means Clustering. Penelitian ini mengolah 181.724 data transaksi perusahaan jasa. Berdasarkan RFM, pelanggan dapat dibagi menjadi 3 segmen yaitu 646 pelanggan Key Account dengan porsi pendapatan 70,73%, 10.037 pelanggan Regular Account dengan porsi pendapatan 29,06%, dan 3.720 pelanggan Retail dengan porsi pendapatan 0,21%. Berdasarkan K-Means, pelanggan dapat dibagi menjadi 21 klaster. Jumlah klaster, disesuaikan dengan banyaknya Kategori dalam Klasifikasi Baku Lapangan Usaha Indonesia (KBLI). Berdasarkan penelitian ini, K-Means tidak hanya dapat digunakan untuk segmentasi pelanggan barang yang diproduksi, tetapi juga dapat digunakan untuk segmentasi pelanggan perusahaan jasa survei, dan hasil segmentasi dapat digunakan sebagai referensi untuk membuat paket jasa, dan membuat strategi penjualan dan pemasaran. ......The conformity assessment of standard and regulation is conducted by Conformity Assessment Body (CAB). The conformity assessment activities that applied to goods, services, systems, or processes are carried out through testing, inspection and / or certification (TIC). CAB is also known as a survey service company. Survey service companies in Indonesia have a lot of services with many customers spread nationwide. The large number of customers make large transaction data that needs to be segmented to determine sales and marketing strategies. Based on the previous research, not many studies have been found that take service companies as object of segmentation, especially survey service companies. This study is segmenting customers of survey service companies using Recency, Frequency, & Monetary Value (RFM), and K-Means Clustering. This study processed 181,724 transaction data of a service company. Based on RFM, customers can be divided into 3 segments that are 646 Key Account customers with 70.73% revenue portion, 10,037 Regular Account customers with 29.06% revenue portion, and 3,720 Retail customers with a revenue portion of 0.21%. Based on K-Means, customers can be divided into 21 clusters. The number of cluster, is suit to number of Category in Indonesian Standard of Industrial Classification (ISIC). According to this study, K-Means clustering not only can be used to segment customers of product manufactured, but also can be used to segment customers of survey service company, and the result of segmentation can be used as references for making service package (service bundling), and for making sales and marketing strategy.

Abstrak :
ABSTRAK
Dalam penelitian ini, efek ketidakpastian tanah dianalisis secara probabilistik untuk beberapa kondisi geometri lereng. Geometri lereng yang yang berbeda di representasikan dalam sudut 27, 34, 45 dan 63 pada ketinggian 5, 10 dan 15 m. Analisis probabilistik stabilitas lereng dilakukan menggunakan SLOPE/W utuk menggambarkan pola keruntuhan dan probabilitas kegagalan yang dimiliki oleh setiap bentuk geometri. Hasil probabilistik digunakan dalam mencari faktor yang mempegaruhi pengambilan keputusan bentuk geometri lereng dengan meninjau keadaan lereng dari konstruksi hingga pengoperasiannya dengan perhitungan Expected Monetary Value EMV . Pendekatan analisis decision making memberikan gambaran bagaimana pengaruh konsekuensi dari setiap pemilihan keputusan geometri lereng dilihat dari biaya.

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ABSTRACT
In this study, soil uncertainties were analyzed probabilistically in different slope geometries. Different slope geometries are represented in 27, 34, 45 and 63 angles at 5m, 10m and 15 m height. The probabilistic analysis of slope stability is conducted with SLOPE W to describe the slip surface and the probability of failure possessed by slope geometries. Probabilistic results are used to know the factors that influences the decision making on slope geometries considering its state of the construction until operation with Expected Monetary Value EMV calculations. The decision making analysis approach gives an overview of how the consequences of slope geometries determined the decision made by its cost.

Abstrak :
Dalam membangun sebuah infrastruktur jalan berupa timbunan terdapat berbagai pilihan desain konstruksi. Untuk menentukan desain konstruksi yang sesuai dilakukan analisis stabilitas struktur dan analisis biaya. Pada penelitian ini, analisis struktur dilakukan dengan melakukan analisis probabilistik yang dipengaruhi oleh ketidakpastian parameter tanah pada konstruksi jalan berupa konstruksi lereng timbunan terbuka dengan sudut kemiringan 34˚ dan 63, konstruksi retaining wall, dan konstruksi pile-slab dengan variasi ketinggian timbunan 3, 6 dan 9 meter. Analisis biaya dilakukan berdasarkan 4 komponen biaya yaitu, biaya akuisisi lahan, biaya konstruksi, biaya rekonstruksi dan biaya kehilangan pendapatan. Biaya akuisisi lahan menjadi faktor penting oleh karena di lingkungan perkotaan biaya akuisisi lahan menjadi sangat mahal. Penentuan keputusan dilakukan dengan analisis probabilistik menggunakan metode Expected Monetary Value (EMV) yang dibagi atas probabilitas konstruksi aman (FS>1) dan probabilitas konstruksi tidak aman (FS<1). Hasil analisis menunjukan EMV terendah setiap ketinggian timbunan dapat berubah sesuai dengan harga biaya akuisisi lahan. ......There are various construction design choices in building a road infrastructure. To determine the appropriate construction design, structural stability analysis and cost analysis are considered. In this study, structural analysis is calculated by conducting probabilistic analysis which is influenced by uncertainty of soil parameters. Construction design choices will be divided into construction design which are open-fill slope of 34˚ and 63, retaining wall structure, and pileslabs structure with variations in heap height of 3, 6 and 9 meters. There are 4 components that is considered in costs analysis, land acquisition costs, construction costs, reconstruction costs and revenue loss costs. Land acquisition costs are an important factor because in urban environments the cost of land acquisition is very expensive. The decision making is done by probabilistic analysis using the Expected Monetary Value (EMV) method which is divided into the probability of safe construction (FS> 1) and the probability of insecure construction (FS <1). The analysis results show the lowest EMV for each heap height can change according to the price of land acquisition costs.

Abstrak :
Mobile banking merupakan sistem layanan dari lembaga keuangan untuk melakukan sejumlah transaksi keuangan diakses langsung melalui perangkat mobile seperti telepon seluler. Penelitian ini bertujuan untuk menguji variabel task fit, monetary value, connectivity, personal innovativeness, absorptive capacity, perceived usefulness, dan perceived ease of use terhadap reusage intention mobile banking BRI. Desain penelitian yang dilakukan adalah konklusif deskriptif dengan metode cross-sectional dan diolah dengan teknik analisis Structural Equation Modelling (SEM). Responden yang diteliti adalah sebanyak 140 orang yang memiliki kriteria sebagai nasabah bank BRI yang selama 6 bulan terakhir aktif melakukan transaksi keuangan melalui bank BRI, mengakses mobile banking BRI 3 kali dalam seminggu, berdomisili di Jabodetabek dan berusia 18 58 tahun dengan menggunakan metode pengambilan sampel purposive sampling dan snowball sampling. Hasil penelitian menunjukkan bahwa variabel monetary value, connectivity, personal innovativeness, perceived usefulness dan perceived ease of use berpengaruh terhadap variabel reusage intention mobile banking BRI. Namun variabel absorptive capacity tidak berpengaruh pada variabel reusage intention dan variabel task fit tidak berpengaruh pada variabel perceived usefulness.
Mobile banking is a service system from a financial institution such as a bank to conduct a number of financial transactions that can be accessed directly by users through mobile devices such as cellular phones. The purpose of this research is to verify whether the 7 variables; task fit, monetary value, connectivity, personal innovativeness, absorptive capacity, perceived usefulness, and perceived ease of use have impact toward reusage intention of BRI mobile banking. The conclusive-descriptive research with cross-sectional method is using anlysis technique of Stuctural Equation Modelling (SEM). The collected 140 respondents was selected by purposive sampling and snowball sampling method and the criteria of the respondent are the respondent as the customer of the BRI bank that actively using BRI mobile banking for 6 month, using BRI mobile banking at least 3 times a week, living in Jabodetabek city, and the respondent age between 18 58 years old . The result showed that monetary value, connectivity, personal innovativeness, perceived usefulness and perceived ease of use have impact toward reusage intention of BRI mobile banking. However, task fit surprisingly did not affect perceived usefulness as we expected and absorptive capacity also have insignificant relationship with reusage intention toward BRI mobile banking.

Abstrak :
Dalam proses mendesain struktur geoteknik, perlu diperhatikan mengenai ketidakpastian parameter kuat geser pada tanah. Ketidakpastian tersebut dapat mempengaruhi stabilitas struktur dan menyebabkan keluarnya biaya berlebih akibat kegagalan yang terjadi. Pada penelitian ini, akan disajikan proses pemilihan struktur galian pada lingkungan perkotaan dengan memperhatikan ketidakpastian parameter tanah yang dihitung menggunakan metode probabilistik. Struktur galian yang akan dipertimbangkan adalah galian lereng terbuka dan galian dengan dinding penahan tipe sheet pile dan secant pile. Proses pemilihan struktur galian menggunakan analisis Expected Monetary Value dengan mempertimbangkan biaya pembebasan lahan, biaya konstruksi, biaya perbaikan akibat terjadi kegagalan, dan kehilangan pendapatan akibat terjadi kegagalan. Hasilnya menunjukkan bahwa dalam proses pengambilan keputusan sangat dipengaruhi oleh faktor biaya pembebasan lahan, diikuti dengan faktor biaya kehilangan pendapatan, biaya konstruksi dan biaya rekonstruksi. ......In the process of designing geotechnical structures, it is important to consider the uncertainty of soil shear strength parameters. This uncertainty can influence the soil structure stability and resulting in unexpected expenses due to structural failure. This research will provide a decision making process to choose which type of slope excavation structure in urban areas by considering the uncertainty of soil parameters using probabilistic method. Slope excavation structures which will be considered are open-cut slopes, excavation with sheet pile and secant pile retaining wall. The decision making process will be calculated by using Expected Monetary Value analysis which considers land acquisition cost, construction cost, reconstruction cost caused by failure and revenue lost caused by failure. The result shows that the biggest cost which affected the decision is the land acquisition cost, followed by revenue lost cost, construction cost, and reconstruction cost.