Judul: Change Management Aktivitas Corporate marketing PT Wijaya Karya (Persero) Tbk.
Abstrak: MIFTHA OLIVIA RAHMA. Change Management Aktivitas Corporate marketing PT Wijaya Karya (Persero)Tbk. Dibimbing oleh ANNY RATNAWATI dan FITHRIYYAH SHALIHATI. Industri konstruksi berkontribusi signifikan terhadap PDB Indonesia, namun pandemi Covid-19 menyebabkan penurunan sektor ini, sehingga diperlukan adaptasi. PT Wijaya Karya (WIKA) menghadapi tantangan dalam aktivitas pemasaran, terutama desentralisasi pemasaran dan kurang fokus pada pelanggan kunci. Penelitian ini menggunakan metode pendekatan kualitatif deskriptif dengan wawancara mendalam dan analisis dokumen. Hasil penelitian menunjukkan implementasi Kotter’s 8 Step Change Model dan ADKAR Model dalam restrukturisasi organisasi pemasaran di WIKA terbukti meningkatkan kinerja pemasaran secara signifikan dengan memastikan perubahan diterima di seluruh tingkat organisasi. Selain itu, adopsi model Key Account Management direkomendasikan untuk meningkatkan efektivitas pemasaran dan membangun hubungan yang lebih kuat dengan pelanggan kunci. Integrasi strategi manajemen perubahan dan Key Account Management meningkatkan kinerja pemasaran, hubungan dengan pelanggan kunci dan mendukung pertumbuhan berkelanjutan perusahaan.
Keyword: Key Account Management, marketing decentralization., Change management

Judul: Implementation of ESG as a Strategy to Create Blue Ocean Market (Case Study: PT Wijaya Karya (Persero) Tbk.)
Abstrak: Kegiatan capstone project di PT Wijaya Karya (WIKA) mengidentifikasi masalah perusahaan yang perlu diversifikasi produk dan layanan untuk menghadapi penurunan market size dan menjaga stabilitas pendapatan di segmen dengan potensi keuntungan tinggi. WIKA memiliki peluang dalam mengimplementasikan prinsip Environmental, Social, and Governance (ESG) karena telah menerapkan keberlanjutan meskipun secara tidak sadar atau sporadis. Penelitian ini bertujuan merekomendasikan strategi implementasi ESG untuk menciptakan blue ocean market menuju keberlanjutan. Metode yang digunakan adalah deskriptif kualitatif. Data primer dan sekunder diolah dan dianalisis secara deskriptif, dengan formulasi strategi menggunakan pendekatan blue ocean strategy melalui alat analisis strategy canvas dan four action framework. Hasil penelitian menunjukkan strategy canvas mengidentifikasi 10 inisiatif utama ESG dengan kinerja bervariasi, membantu WIKA memetakan kekuatan dan area yang perlu dioptimalkan. 10 inisitif tersebut adalah Produk Berkelanjutan, Efisiensi Energi, Pengolahan Limbah B3, Pengurangan Emisi Gas Rumah Kaca, Konservasi Lingkungan, Tanggung Jawab Sosial dan Lingkungan, Kesehatan dan Keselamatan Kerja, Respectful Workplace, Penerapan Sistem Manajemen Anti Penyuapan (SMAP), dan Tata Kelola Risiko. Rekomendasi strategi mencakup tiga bagian utama: Optimalisasi Sumber Daya guna meningkatkan alokasi sumber daya yang lebih efisien serta dapat meningkatkan produktivitas yang lebih optimal, Peningkatan Kompetensi dan Kesadaran untuk memastikan karyawan memiliki keterampilan yang diperlukan dan memahami manfaat ESG, serta Penguatan Pasar dan Transparansi guna meningkatkan kesadaran dan permintaan pasar, serta transparansi dan akuntabilitas. Dengan implementasi strategi-strategi tersebut, WIKA diharapkan dapat menciptakan nilai berkelanjutan yang kuat dan memperkuat ESG sebagai bagian integral dari strategi perusahaan, menuju pasar yang lebih stabil dan menguntungkan di masa depan., The capstone project at PT Wijaya Karya (WIKA) identified the company's problem of needing to diversify products and services to deal with declining market size and maintain revenue stability in segments with high profit potential. WIKA has an opportunity to implement Environmental, Social, and Governance (ESG) principles because it has implemented sustainability although unconsciously or sporadically. This research aims to recommend ESG implementation strategies to create a blue ocean market towards sustainability. The method used is descriptive qualitative. Primary and secondary data were processed and analysed descriptively, with strategy formulation using the blue ocean strategy approach through the strategy canvas and four action framework analysis tools. The results show that the strategy canvas identifies 10 key ESG initiatives with varying performance, helping WIKA map strengths and areas that need to be optimised. The 10 initiatives are Products Sustainability, Energy Efficiency, Hazardous Waste Management, Greenhouse Gas Emission Reduction, Environmental Conservation, Social and Environmental Responsibility, Occupational Health and Safety, Respectful Workplace, The Implementation of SMAP, and Risk Governance. The strategy recommendations include three main sections: Resource Optimisation to improve more efficient resource allocation and optimise productivity, Competency and Awareness Enhancement to ensure employees have the necessary skills and understand the benefits of ESG, and Market Strengthening and Transparency to increase market awareness and demand, as well as transparency and accountability. With the implementation of these strategies, WIKA is expected to create strong sustainable value and strengthen ESG as an integral part of the company's strategy, towards a more stable and profitable market in the future.
Keyword: blue ocean strategy, ESG, keberlanjutan, konstruksi, sustainability, construction

Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm