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"The shipbuilding industry is characterized by high-risk business activities; therefore, caution should be taken in its operational processes. From upstream to downstream, the shipbuilding industry depends on other industries. In this study, a risk assessment was conducted on the construction of new vessels using the Bayesian network approach; accordingly, the risk assessment was carried out using a probabilistic value at risk (VaR). The study was carried out by PT PAL Indonesia in association with the construction of a new tanker ship (building production codes M271 and M272). An analysis was conducted on three main components of new vessel construction—design components, material and production components, and subcomponents of the previous two components. From the study, we could conclude that the probability of delay for new vessel construction caused by design delay is 0.05; the probability of delay caused by material delay is 0.65; and the probability of delay caused by production delay is 0.3. For delays caused by design factors, a yard plan is the sub-component that contributes predominantly to delays (i.e., probability of 0.3). For delays caused by material factors, the sub-component with the greatest impact is hull and machinery outfitting, with a probability of 0.3. For delays caused by production factors, the sub-component with the biggest impact is hull construction, with a probability of 0.39. Thus, we could conclude that a project delay would occur if the material component and the hull construction sub-components were not handled properly."

"Industri pertambangan dapat secara aktif berkontribusi pada sustainable development dengan mengurangi dampak negatif terhadap degradasi lingkungan, seperti kegagalan peralatan. Penggunaan sianida dalam metode heap leaching untuk ekstraksi emas merupakan salah satu cara untuk memperoleh recovery yang lebih tinggi dan lebih ramah lingkungan dibandingkan penggunaan merkuri. Menggunakan metode risk-based inspection (RBI) sesuai standar API 581 dengan pendekatan semi-kuantitatif, dapat menghitung probability dan consequency dari kegagalan yang akan terjadi pada pipa irigasi heap leaching. Tujuan dari penelitian adalah menentukan rencana inspeksi yang optimal pada pipa irigasi heap leaching dan tingkat risikonya. Inspeksi berbasis risiko dilakukan pada pipa irigasi heap leaching 12 inci yang datanya diperoleh dari hasil pengukuran ketebalan. Penerapan semi-kuantitatif risk-based inspection (RBI) sesuai standar API 581, dapat menentukan rencana jadwal inspeksi yang lebih optimal dan mengurangi tingkat risiko pada peralatan objek penelitian dibandingkan metode inspeksi berbasis waktu. Penelitian yang dilakukan terhadap analisis data hasil inspeksi untuk risk-based inspection (RBI), mendapatkan data yang diambil pada posisi elbow pipa terdapat pengurangan ketebalan dinding pipa sebesar 0,97 mm per tahun yang memiliki nilai Probability of Failure (PoF) sebesar 2 dan Consequence of Failure (CoF) pada tingkat D dengan potensi konsekuensi gangguan bisnis sebesar US$958.506, sehingga menghasilkan tingkat risiko pada posisi 2D atau level medium. Penjadwalan inspeksi ditetapkan berdasarkan tingkat risiko dan sisa umur pakai pipa untuk mencegah tercapainya/terlampauinya target risiko (ketebalan minimum).

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The mining industry can actively contribute to sustainable development by reducing negative impacts on environmental degradation, such as equipment failure. For example, using cyanide in the heap leaching method for gold extraction is a way to obtain a higher recovery and is more environmentally friendly than mercury. Furthermore, using the risk-based inspection (RBI) method according to API 581 standard with a semi-quantitative approach, it is possible to calculate the probability and consequence of failure that will occur in heap-leaching irrigation pipes. This research aims to determine the optimal inspection plan for heap-leaching irrigation pipes and their level of risk. A risk-based inspection is carried out on a 12-inch heap leaching irrigation pipe for which the data is obtained from the thickness measurement results. The application of semi-quantitative risk-based inspection (RBI), according to API 581 standard, can determine a more optimal inspection schedule plan and reduce the level of risk on research object equipment compared to time-based inspection methods. Research conducted on data analysis of inspection results for risk-based inspection (RBI), obtained data taken at the pipe elbow position where there is a reduction in pipe wall thickness of 0.97 mm per year which has a Probability of Failure (PoF) value of 2 and Consequence of Failure (CoF) at level D with potential business interruption consequences of US$958,506, resulting in a risk level in 2D or medium level. Therefore, inspection scheduling is determined based on the level of risk and the remaining life of the pipe to prevent achieving/exceeding the risk target (minimum thickness)."

"Rendahnya daya saing Industri Galangan Kapal Nasional dipicu oleh tingginya angka impor kapal ke Indonesia yang bahkan tidak mencapai 2% per Oktober 2021. Hal ini terjadi karena membangun kapal di Indonesia relatif lebih lama dan mahal. Kendala yang dihadapi adalah tingginya komponen kapal impor yang mencapai 70%-80%. Melihat pengaruh komponen kapal impor terhadap daya saing Industri Galangan Kapal Nasional, maka penting untuk meminimalisir dan mengendalikan risiko agar proses pengadaan efektif dan efisien. Tujuan penelitian ini adalah untuk mengidentifikasi penyebab risiko prioritas dan mitigasi risiko prioritas. Penelitian ini menggunakan metode SCOR (Supply Chain Operations Reference) dan HOR (House of Risk). Hasil penelitian menunjukan bahwa risk agent prioritas adalah kualifikasi SDM galangan tidak memadai, perencanaan terkait tidak akurat, dan komitmen supplier kurang; PA (Preventive Action) prioritas adalah membuat database komponen kapal impor untuk internal galangan dan rutin diperbarui, membangun hubungan yang erat dengan menjalin komunikasi yang baik dengan seluruh pihak yang terlibat, melakukan pemilihan SDM yang berkompeten dibidangnya.

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The low competitiveness of the National Shipbuilding Industry is caused by the high number of imported ships to Indonesia which doesn’t even reach 2% as of October 2021. This is because building ships in Indonesia is relatively longer and more expensive. The constraint faced is the high percentage of imported ship components, which reach 70%-80%. Considering the influence of imported ship components on the competitiveness of the National Shipbuilding Industry, it is important to minimize and control risks for an effective and efficient procurement process. The purpose of this study is to identify priority risk agents and preventive actions. This study uses the SCOR (Supply Chain Operations Reference) and HOR (House of Risk) methods. The results of the study show that the priority risk agents are the inadequate qualification of shipyard human resources, inaccurate related planning, and the lack of supplier's commitment; priority preventive actions are creating database of imported ship components for the shipyard's internal use and regularly updated, building close relationships by establishing good communication with all parties involved, and selecting competent human resources in their respective fields."

"Indonesia merupakan negara kedua terburuk dalam hal pengelolaan limbah plastik di dunia. Kebanyakan plastik di Indonesia dibakar secara terbuka dan ditimbun begitu saja. Pemerintah Indonesia sudah memiliki rencana penanganan yakni dengan melipatgandakan laju daur ulang. Oleh karena itu, perlu diketahui seberapa besar dampak lingkungan yang dihasilkan dari proses daur ulang yang dilakukan di Indonesia. Maka, penelitian ini dilakukan untuk menganalisis dampak lingkungan yang dihasilkan dari proses daur ulang plastik polyethylene terephthalate dengan menggunakan metode life cycle assessment. Terdapat dua faktor terbesar yang menyebabkan dampak lingkungan pada proses daur ulang PET yakni, penggunaan maupun pembakaran bahan bakar fosil sebagai sumber energi serta pengelolaan limbah air dan bahan kimia sisa produksi yang kurang baik. Kedua faktor tersebut merupakan masalah utama yang harus diperbaiki untuk dapat menghasilkan potensi dampak lingkungan seminimal mungkin. Sehingga, perbaikan proses daur ulang PET dapat dimulai dengan memitigasi kedua faktor tersebut.

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Indonesia is the second worst country in the world in terms of plastic waste management. Most plastic waste in Indonesia ended up being openly burned and in landfill. Indonesian government already made a strategic plan in handling this problem by doubling the recycling rate. Therefore, it is important to know how big does recycling process in Indonesia will impact the environment. Thus, this study is conducted to analyse the environmental impact of recycling polyethylene terephthalate plastic using the life cycle assessment method. It has been found that there are two main factors causing mostly of the environmental impact from PET recycling. Those factors are due to the combustion of fossil fuel as an energy source and the poorly managed waste water and chemical residues treatment. These two factors indicate that a corrective action must be made in order to produce minimum amount of environmental impact. Hence, improvement of the recycling process can start with mitigating these two factors."

"Integrated Collection System (ICS) merupakan sebuah sistem pengumpulan data kegiatan survei atau sensus yang dikelola oleh Badan XYZ. Melalui ICS, Badan XYZ dapat mempercepat proses kegiatan statistik tanpa mengurangi kualitas data yang dihasilkan. Akan tetapi, ICS juga mempunyai isu dalam hal keamanan informasi yaitu terdapat celah-celah kerentanan yang dapat dieksploitasi oleh suatu serangan siber. Untuk menangani permasalahan tersebut, penelitian ini bertujuan untuk mengusulkan pengembangan metode penilaian risiko keamanan informasi dengan menggunakan model Bayesian Attack Graphs (BAG). Penilaian risiko dengan menggunakan model BAG dinilai cocok untuk menilai paparan risiko pada serangan siber yang menargetkan celah kerentanan. Sebagai kontribusi keilmuan, penelitian ini mengusulkan formulasi penilaian risiko menggunakan dua faktor risiko, faktor likelihood dan faktor impact. Metrik likelihood memakai EPSS, sedangkan metrik impact memakai sub skor impact CVSS. Melalui pengembangan metode penilaian yang diusulkan, diperoleh nilai rata-rata nilai paparan risiko pada infrastruktur ICS sebesar 0.365. Dengan demikian, paparan risiko pada infrastruktur ICS berkategori Low, sehingga paparan risiko serangan berantai melalui celah-celah kerentanan pada infrastruktur ICS dapat dikatakan rendah. Dengan adanya output dari penelitian ini, model penilaian risiko melalui pengembangan model BAG dapat menilai lebih akurat suatu paparan risiko serangan siber melalui celah-celah kerentanan di suatu sistem.

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The Integrated Collection System (ICS) is a statistics data collection system managed by XYZ Agency. Through ICS, the organization can speed up the process of statistical activities without reducing the quality of the data it produces. However, ICS also has issues in terms of information security, namely that there are vulnerabilities that can be exploited by cyberattacks. To address these problems, this study aims to propose the development of an information security risk assessment method using the Bayesian Attack Graphs (BAG) model. Risk assessment using the BAG model is considered suitable for assessing risk exposure to cyberattacks that target device vulnerabilities. As a contribution, this research proposes the formulation of a risk assessment using two risk factors, the likelihood factor and the impact factor. The likelihood metric uses EPSS, while the impact metric uses the CVSS impact sub-score. Through the development of the proposed valuation method, the average risk exposure value for the ICS infrastructure is 0.365. Thus, the risk exposure to the ICS infrastructure is in the Low category, so that the risk exposure to chain attacks through vulnerabilities in the ICS infrastructure can be said to be low. With the output of this study, the risk assessment model through the development of the BAG model can more accurately assess an exposure to the risk of cyberattacks through vulnerabilities in a system."

"ABSTRAKThesis ini menganalisa potensi risiko likuiditas di industri perbankan syariahIndonesia utamanya pengaruh tekanan likuiditas dari variable Total Financing,dan Dana Pihak Ketiga (DPK) terhadap cadangan likuiditas (Liquidity Reserves)bank-bank syariah di Indonesia. Hal ini dilakukan karena kompetisi di duniaperbankan utamanya perbankan Syariah yang semakin meningkat sementaraindustri perbankan syariah mempunyai potensi risiko likuiditas yang harusdianalisa untuk menjaga kelangsungan dan stabilitas industri perbankan Syariah.Secara khusus, penelitian ini menggunakan model dinamis AutoregressiveDistributed Lag (ARDL) untuk memodelkan variabel-variabel, melihat pengaruhdan hubungan antar variabel termasuk menganalisa output yang dihasilkan. Hasilmodel dan analisa komprehensif thesis ini menunjukkan bahwa industri perbankansyariah harus mempertimbangkan potensi tekanan likuiditas dari variabel-variabeldi atas agar dapat mengelola cadangan likuiditas yang ideal dan optimalkhususnya untuk mengantisipasi risiko likuiditas yang mungkin terjadi

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ABSTRACTThis thesis analyzes the potential of liquidity risk in the Indonesian Islamicbanking industry, especially the impact of Total Financing and Third Party Funds(DPK) to Liquidity Reserves of Islamic banks in Indonesia. This was done due tothe increasing competition in the banking sector especially Islamic banking whichrequires robust analysis of liquidity risk to ensure the sustainability and stabilityof the Islamic banking industry. Specifically, this Thesis uses AutoregressiveDistributed Lag (ARDL) model to model the variables, investigate relation amongvariables, and analyze the output of the dynamic model. The results of the modeland comprehensive analysis of the thesis indicate that the Islamic bankingindustry should consider the potential liquidity pressures from variables above inorder to manage ideal and optimum liquidity reserves, especially to anticipateliquidity risk."

"Di Indonesia pengembangan kawasan industri khususnya di daerah merupakan upaya nyata untuk melakukan penyebaran industri dalam upaya meningkatkan perekonomian. Permasalahan yang terjadi pada kawasan industri saat ini yaitu penerapan lokasi kawasan industri yang masih belum sesuai terhadap aspek lingkungan yang berdampak pada pencemaran emisi karbon, air, dan limbah serta kerusakan lingkungan disekitar kawasan industri. Oleh karena itu, pembangunan kawasan industri berbasis konsep industri hijau dilakukan untuk mengatasi masalah penting terhadap lingkungan. Dalam menentukan evaluasi kelayakan lokasi prioritas yang sesuai untuk menentukan kawasan industri berbasis industri hijau diperlukan kriteria penentu dalam pengambilan keputusan kelayakan lokasi. Terdapat 5 kriteria utama dalam penentuan kelayakan kawasan industri berbasis industri hijau yang terdiri dari jarak, kondisi infrastruktur dan prasarana, ekonomi, lingkungan, dan sosial. Dengan melakukan pembobotan menggunakan metode fuzzy-AHP didapatkan kriteria dengan bobot tertinggi adalah kriteria lingkungan dan lokasi yang paling layak adalah Kawasan Industri Sei Mangkei sebagai lokasi prioritas.

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In Indonesia, the development of industrial sites, especially in the regions, is a real effort to spread the industry in an effort to improve the economy. The problem that occurs in industrial site at this time is the application of industrial site locations that are still not suitable for environmental aspects which have an impact on carbon emission, water and waste pollution as well as environmental impact around industrial sites. Therefore, the development of industrial estates based on the concept of green industry is carried out to address important problems for the environment. In determining the feasibility evaluation of priority location for building industrial sites, determining criteria are needed in decision making for selecting feasibility of locations. There are 5 main criteria in determining the feasibility of industrial sites consisting of distance, infrastructure and infrastructure conditions, economic, environmental, and social. By weighting using the fuzzy-AHP method, the criteria with the highest weight are environmental criteria and the selected location is the Sei Mangkei Industrial Area as the priority location."

"Value stream mapping adalah metode dari konsep lean manufacturing yang bertujuan untuk memetakan aliran material dan informasi pada sebuah proses. Dibantu dengan metode waste relationship matrix, jenis-jenis waste pada peta value stream dapat teridentifikasi sehingga dapat dimitigasi dengan value stream mapping analysis tool yang sesuai. Riset ini bertujuan untuk menerapkan value stream mapping pada proses perbaikan rotating equipment yaitu pompa jenis Pump P04-CD3 yang merupakan equipment untuk menyokong aktivitas produksi minyak. Setelah penerapan metode, jenis-jenis waste yang menjadi akar permasalahan dari proses perbaikan equipment tersebut adalah transportation waste, process waste dan motion waste. Setelah dilakukan improvement, lead time perbaikan berkurang sebanyak 46.7%, cycle time perbaikan berkurang sebanyak 3.8% dan non-value-added time berkurang sebanyak 57.9%.

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Value stream mapping is a method derived from the lean manufacturing concept which aims to map the flow of material and information of a process. Assisted by the waste method relationship matrix, the types of waste on the value stream map can be identified so that it can be mitigated with an appropriate value stream mapping analysis tool. This research aims to apply value stream mapping to the repair process of rotating equipment, namely Pump P04-CD3 which is equipped to support oil production activities. After the application of the method, the types of waste that become the root cause of the equipment repair process problem are transportation waste, process waste and motion waste. After improvement, the repair lead time was reduced by 46.7%, the repair cycle time decreased by 3.8%, and the non-value-added time decreased by 57.9%."