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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."

"ABSTRAK Penelitian ini bertujuan untuk memperoleh peran ACAP bagi organisasi gunamenentukan hasil-hasil organisasi (organizational outcomes) sehingga perludijadikan prioritas utama serta dimensi-dimensi ACAP yang berperan signifikanbagi pencapaian hasil-hasil organisasi untuk lembaga pemerintah bidangpenelitian, pengembangan dan kerekayasaan. Penelitian menggunakan metodeMCDM (AHP-TOPSIS). Hasil penelitian menemukan bahwa manajemen inovasiadalah hasil (outcome) organisasi yang paling penting bagi organisasi dan perlumenjadi prioritas fokus perhatian utama bagi keberhasilan organisasi secarakeseluruhan. Outcomes organisasi berikutnya yang tetap harus diperhitungkansesuai dengan urutan peringkat kepentingannya adalah manajemen teknologi,manajemen pengetahuan, performansi organisasi, dan pembelajaran organisasi.Dimensi ACAP yang paling berpengaruh dan strategis bagi keberhasilanmanajemen inovasi khususnya dan hasil organisasi umumnyaadalah dimensiaplikasi dengan sub dimensi keaktifan dalam teknologi, eksploitasi pengetahuanbaru, pengembangan paten, dan penerapan pengalaman. Tiga dimensi ACAPlainnya yang tetap memiliki peran terhadap organisasi sesuai bobotnya masingmasing adalah dimensi transformasi, asimilasi, dan akuisisi.

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ABSTRACT This study aimed to obtain the role of ACAP for the organization in order todetermine organizational outcomes that need to be a top priority as well as thedimensions of ACAP that contribute significantly to the achievement oforganizational outcomes for government agencies fields of research, developmentand engineering. Research using MCDM method (AHP-TOPSIS). The resultsfound that management innovation is the most important of organizationaloutcomes for the organization and should be a priority focus of major concern forthe success of the organization as a whole. Other outcomes that followingorganizations and still have to be calculated in accordance with the rank order ofimportance is technology management, knowledge management, organizationalperformance, and organizational learning. Most influential and strategicdimension of ACAP’s to the success of innovation management in particular andorganizational outcomes over all is dimension of application with has subdimensional of active in technology, exploitation of new knowledge, thedevelopment of paten, and implementation of experiences. Other three dimensions,of ACAP still have a role based on the weight of each dimension, are dimensionof transformation, assimilation, and acquisition."

"Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research."