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"PLN sebagai salah satu pemain utama dalam transisi energi di Indonesia, memiliki rencana untuk mencapai net zero emission di tahun 2060. Salah satu cara yang dilakukan adalah program dedieselisasi, yaitu melakukan pengurangan penggunaan pembangkit listrik tenaga diesel (PLTD) dengan pembangkit yang berbasis dari energi baru terbarukan (EBT). Dalam rencana usaha penyediaan tenaga listrik (RUPTL) 2021-2030, ditargetkan penurunan pasokan listrik dari PLTD sebesar 87% hingga tahun 2030. Tahap I program ini mengalami penurunan realisasi PLTD yang akan dilakukan dedieselisasi, dari semula target 200 lokasi menjadi hanya 97 lokasi. Dalam menjalankan program ini, ada beberapa kriteria yang harus diperhatikan, seperti faktor kehandalan, biaya, dan lingkungan, oleh karena itu dibutuhkan metode yang sesuai dengan keingingan dan kepentingan pemilik proses bisnis. Penelitian ini bertujuan untuk menentukan peringkat prioritas dedieselisasi dengan menggunakan multi criteria decision making, yaitu metode analytical hierarchy process (AHP) untuk menentukan bobot masing-masing kriteria dan dilanjutkan dengan metode technique for order preference by similarity to ideal solutions (TOPSIS) untuk pemeringkatannya. Penelitian ini menunjukkan bahwa kriteria keterjangkauan mempunyai signifikansi tertinggi, disusul oleh faktor keamanan pasokan dan lingkungan. Hasil analisis juga menunjukkan PLTD A18, A14 dan A7 merupakan tiga PLTD teratas yang diprioritaskan untuk dilakukan dedieselisasi karena memberikan jarak terdekat pada kriteria ideal. Assesment risiko menunjukkan bahwa dengan penerapan pembobotan kriteria dan pemeringkatan, maka tingkat risiko dapat diturunkan menjadi masuk dalam selera risiko PLN.

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PLN, as one of the main players in the energy transition in Indonesia, has plans to achieve net zero emissions by 2060. One way to do this is the dedieselization program, namely reducing the use of diesel power plants (PLTD) with plants based on new energy and renewable (EBT). In the 2021-2030 electricity supply business plan (RUPTL), it is targeted to reduce electricity supply from PLTD by 87% by 2030. Phase I of this program experienced a decrease in the realization of PLTD which would be dedieselized, from the target of 200 locations to only 97 locations. In carrying out this program, there are several criteria that must be considered, such as security of supply, cost and environmental factors, therefore requires a method that is in accordance with the desires and interests of the business process owner. This research aims to determine the dedieselization priority ranking using multi-criteria decision making, analytical hierarchy process (AHP) method to determine the weight of each criterion and continuing with the technique for order preference by similarity to ideal solutions (TOPSIS) method for ranking PLTDs that will undergo dedieselization. The analysis results show that the affordability criterion has the highest significance, followed by security of supply and environmental factors. This study also show that PLTD A18, A14 and A7 are the top three PLTDs prioritized for dedieselization because they provide the closest distance to the ideal criteria. The risk assessment shows that by applying weighting criteria and ranking, the risk level can be reduced to within PLN's risk appetite."

"Alat transportasi menjadi salah satu fasilitator untuk memudahkan manusia berpindah dari satu tempat ke tempat lainnya. Hal ini menciptakan terbukanya ladang bisnis produksi alat transportasi, salah satunya mobil. Dari tahun ke tahun, angka penjualan mobil semakin menurun meskipun sempat meningkat dalam beberapa waktu. Kekhawatiran timbul dalam dunia industri otomotif akibat menurunnya angka penjualan mobil sehingga diperlukan strategi yang mampu mempertahankan bisnis untuk tetap terus berdiri. Penelitian ini bertujuan untuk membentuk sebuah strategi korporasi yang ditinjau berdasarkan hasil analisis internal dan eksternal perusahaan sehingga mampu membantu menstabilkan finansial perusahaan. Metode analisis yang digunakan pada penelitian ini untuk internal dengan Resource-Based View, sementara analisis eksternal menggunakan Porter’s Five Forces dan General Electric (GE). Hasil yang ditunjukkan dari kedua analisis tersebut berupa Strength, Weakness, Opportunity, dan Thread (SWOT). Keputusan mengenai alternatif strategi diambil menggunakan metode FAHP dan telah disetujui oleh petinggi perusahaan. Kesimpulan dari hasil keputusan tersebut yaitu memperluas penetrasi pasar, mengembangkan pasokan produk, dan memperluas protofolio. Metode selanjutnya yaitu Multiple Criteria Decision Analysis (MCDA), FAHP menunjukkan bahwa mengembangkan portofolio dan mendistribusikannya kepada para dealer dapat meningkatkan penjualan.

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Transportation is one of the facilitators to make it easier for humans to move from one place to another. This creates a business field for the production of transportation equipment, one of which is a car. From year to year, the number of car sales has declined even though it had increased for some time. Concerns arise in the world of the automotive industry due to the decline in car sales, so a strategy is needed that is able to maintain the business to continue to stand. This research aims to form a corporate strategy that is reviewed based on the results of the company's internal and external analysis so that it can help stabilize the company's finances. The analysis method used in this research is the internal Resource-Based View, while the external analysis uses Porter's Five Forces and General Electric (GE). The results shown from both analyses are in the form of Strength, Weakness, Opportunity, and Thread (SWOT). Decisions regarding alternative strategies were made using the FAHP method and were approved by company officials. The conclusion of the decision is to expand market penetration, develop product supply, and expand the portfolio. The next method is Multiple Criteria Decision Analysis (MCDA), FAHP shows that developing a portfolio and distributing it to dealers can increase sales."

"Search and classification using multiple autonomous vehicles provides a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAV) under both deterministic and probabilistic frameworks. It serves as a first discussion of the problem of effective resource allocation using MAV with sensing limitations, i.e., for search and classification missions over large-scale domains, or when there are far more objects to be found and classified than there are autonomous vehicles available. Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found. The authors develop decision-making strategies to choose between these competing tasks and vehicle-motion-control laws to achieve the proposed management scheme. Deterministic Lyapunov-based, probabilistic Bayesian-based, and risk-based decision-making strategies and sensor-management schemes are created in sequence. Modeling and analysis include rigorous mathematical proofs of the proposed theorems and the practical consideration of limited sensing resources and observation costs. A survey of the well-developed coverage control problem is also provided as a foundation of search algorithms within the overall decision-making strategies. Applications in both underwater sampling and space-situational awareness are investigated in detail. The control strategies proposed in each chapter are followed by illustrative simulation results and analysis. "

"The aim of this article was to develop an interval type-2 fuzzy permutation method for addressing multiple criteria decision-making problems under incomplete preference information. Furthermore, this article present an experimental analysis to examine the implementation efficiency and the applicable scope of the proposed method. Interval type-2 fuzzy sets are more capable than ordinary fuzzy sets of handling imprecision and imperfect information in real-world applications. This article used interval type-2 fuzzy sets to capture imprecise or uncertain decision information in fields that require multiple criteria decision analysis. Based on pairwise criterion comparisons of the alternatives using a signed distance-based approach, this article presents a concordance-discordance analysis and propose an integrated programing model in the interval type-2 fuzzy permutation method. Finally, computational experiments with enormous amounts of simulation data are designed to examine the influence of numbers of alternatives and criteria on the implementation efficiency and the applicable scope of the proposed method. "

"Tesis ini membahas tentang proses pemilihan program pemeliharaan dengan studi kasus di industri manufaktur rokok. Metode yang digunakan dalam penelitian ini adalah multi-criteria decision-making diantaranya metode Analytic Hierarchy Process AHP dan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Tujuan dari penelitian ini selain untuk mendapatkan program pemeliharaan yang sesuai dengan kondisi manufaktur dalam industri rokok, namun juga akan mempermudah manajer pemeliharaan khususnya di industri rokok dalam menentukan pilihan jika dihadapkan pada beberapa strategi pemeliharaan. Hasil penelitian ini menghasilkan program pemeliharaan Condition-Based Maintenance CBM / Predictive Maintenance mendapat peringkat paling tinggi untuk dapat diimplementasikan dalam industri manufaktur rokok.

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These paper discusses the process of selecting a maintenance program with case studies in the cigarette manufacturing industry. The method used in this research is multi criteria decision making, such as Analytic Hierarchy Process AHP and Technique for Order of Preference by Similarity to Ideal Solution TOPSIS.

The purpose of this study is to obtain a maintenance program that is appropriate to the manufacturing conditions in the tobacco industry, but will also make it easier for maintenance managers, especially in the tobacco industry to make choices if faced with some maintenance strategies option.

The result of this research ends on Condition Based Maintenance CBM Predictive Maintenance got the highest rating to be implemented in cigarette manufacturing industry. "

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Aktivitas logistik adalah salah satu komponen terpenting dalam aktivitas ekonomi di suatu negara. Aktivitas logistik berpengaruh terhadap harga barang, kualitas, daya saing, hingga PDB. Akan tetapi, kondisi buruk kualitas aktivitas logistik di Indonesia yang terindikasi pada skor Logistics Performance Index (LPI) yang masih tertinggal dari negara-negara tetangga menunjukkan bahwa aktivitas logistik di Indonesia belum dapat menyokong kegiatan ekonomi dengan baik. Padahal, skor LPI suatu negara dapat menentukan persepsi negara lain terhadap negara tersebut dalam sektor perdagangan, sehingga skor LPI memiliki hubungan yang erat dengan pertumbuhan ekonomi suatu negara. Maka dari itu, penelitian ini dibuat dengan tujuan mengidentifikasi dan menganalisa faktor-faktor yang menghambat dan yang dapat mendorong peningkatan performa logistik di Indonesia. Penelitian ini dilakukan dengan kerangka Multi-Criteria Decision Making mengingat stakeholder yang terlibat bukan hanya pihak pelaku industri namun juga asosisasi, pemerintah, akademisi, dan lain-lain. Metode yang digunakan dalam penelitian ini adalah metode gabungan DEMATEL-based ANP agar dapat mempertimbangkan pengaruh hubungan antar kriteria mengingat kriteria belum terdefinisikan secara jelas sebelumnya. Luaran dari penelitian ini menghasilkan pementaan struktur masalah serta urutan bobot kriteria sebagai prioritas yang dapat menjadi dasar dalam penyusunan solusi.

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Logistics activity is one of the most important aspect in economic activities in a country, Logistics activity have an impact on price, quality, competitiveness and even GDP. However, logistics in indonesia still runs in a poor state, which is shown by their relatively low Logistics Performance Index (LPI), ranking behind neighboring countries. This shows that logistics activities in Indonesia could not yet support economic development in Indonesia optimally. LPI score have shown to have impact on a country’s image, especially in trade. The higher the LPI score, the higher the tendency for trade volume to incrase in a country. Therefore, ths research aims toidentify and analyse the underlying factors that act as a barrier and driver for Indonesia to improve their logistics performance. This research is done with a multi-criteria decision making approach, using DEMATEL-based ANP method in order to consider the relation that exist bettween the factors. Output of the research is a problem mapping and factor priority rank which can be used for decision making in the future.

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"Pengambilan keputusan dalam proyek adalah suatu usaha yang kompleks. Proyek adalah organisasi sementara yang dikelilingi oleh ketidakpastian yang melekat. Ketidakpastian yang dapat terjadi dalam proyek antara lain ketidakpastian waktu,biaya, dan kualitas. Untuk mengatasi berbagai kompleksitas tersebut, maka diperlukan suatu evaluasi kinerja proyek. Pada salah satu perusahaan jasa pertambangan minyak dan gas di Indonesia,evaluasi kinerja telah dilakukan, namun dilakukan secara terpisah dan hanya sedikit kriteria yang dievaluasi, sehingga kinerja proyek secara keseluruhan masih belum terlihat. Untuk itu perlu dilakukan evaluasi kinerja pada proyek perusahaan tersebut dengan pendekatan MCDA (Multi-criteria decision analysis) dengan menggunakan metode MACBETH yang dapat memodelkan elemen proyek menjadi suatu kelompok tingkat pengawasan untuk memudahkan pengambilan keputusan oleh manajer proyek.

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Decision-making in a project is a complex undertaking. A project is a temporary organization that is surrounded by inherent uncertainties. Uncertainties that may occur in the project, among others, are the uncertainty of the time, cost, and quality. To overcome this complexity, we need a project performance evaluation. At one of the services the oil and gas in Indonesia, the performance evaluation has been done, but done separately and only few criteria are evaluated, so that the overall project performance is still not visible. Therefore it is necessary to evaluate the performance of the company's project with the MCDA (Multi-criteria decision analysis) approach using MACBETH method that can model the elements of the project into a supervisory level group to facilitate decision-making by the project manager."

"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.

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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."