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"Penelitian ini menggunakan desain kuantitatif untuk menyelidiki faktor-faktor yang mempengaruhi niat adopsi Kendaraan Listrik Baterai (BEV) di kalangan masyarakat Indonesia, menggunakan kerangka kerja yang dikembangkan oleh Elena Higueras-Castillo et al. (2021). Dengan memanfaatkan IBM SPSS, penelitian ini memeriksa faktor-faktor psikologis dan sosial seperti sikap terhadap BEV, norma subjektif, persepsi kontrol perilaku, dan niat untuk menggunakan BEV. Beberapa hipotesis diuji menggunakan multiple regression analysis. Respons survei dari 145 partisipan dianalisis menggunakan statistik deskriptif, analisis korelasi, regresi berganda, dan analisis faktor untuk mengidentifikasi pola dan hubungan.Penelitian ini memastikan validitas dan reliabilitas melalui pengujian awal kuesioner dan mematuhi pedoman etika. Analisis statistik mengungkapkan bahwa sikap, norma subjektif, dan persepsi kontrol perilaku secara signifikan mempengaruhi kesiapan penduduk untuk mengadopsi BEV. Temuan ini mengisi kesenjangan pengetahuan dalam dinamika adopsi BEV di Indonesia, menawarkan wawasan bagi pembuat kebijakan, perencana kota, dan pemangku kepentingan lainnya.Berdasarkan hasil tersebut, rekomendasi dibuat untuk intervensi kebijakan, investasi infrastruktur, dan kampanye kesadaran publik guna mempercepat transisi menuju mobilitas listrik. Wawasan ini dapat dimanfaatkan untuk memasarkan BEV secara efektif kepada konsumen potensial baru dengan menyoroti sikap positif, norma sosial, dan faktor kontrol yang dipersepsikan yang mendorong adopsi.

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This research employs a quantitative design to investigate factors influencing Battery Electric Vehicle (BEV) adoption intentions among Indonesians, using the framework developed by Elena Higueras-Castillo et al. (2021). By utilizing IBM SPSS, the study examines psychological and social factors such as attitudes towards BEVs, subjective norms, perceived behavioral control, and intention to use BEVs. Multiple hypotheses are tested using multiple regression analysis. Survey responses from 145 participants are analyzed using descriptive statistics, correlation analysis, multiple regression, and factor analysis to identify patterns and relationships.

The study ensures validity and reliability through pre-testing the questionnaire and adhering to ethical guidelines. Statistical analyses reveal that attitudes, subjective norms, and perceived behavioral control significantly influence residents' readiness to adopt BEVs. The findings fill a knowledge gap in BEV adoption dynamics within Indonesia, offering insights for policymakers, urban planners, and other stakeholders.

Based on the results, recommendations are made for policy interventions, infrastructure investments, and public awareness campaigns to accelerate the transition towards electric mobility. These insights can be leveraged to effectively market BEVs to new potential consumers by highlighting the positive attitudes, social norms, and perceived control factors that drive adoption."

"This quantitative study in Yemen examined the important relationship between proactive risk management procedures and construction project performance. Partial Least-Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software was used to analyze data collected from 171 construction experts through various levels. The study investigates the impact of various key components in the proactive risk management process, which involves early identification, analysis, response, and monitoring. These findings show that an effective risk management strategy has a significant beneficial influence on project performance outcomes. In particular, this study shows early mitigation efforts as the most effective component. The findings serve as a practical guide for Yemeni construction professionals. By implementing a proactive risk management strategy with SmartPLS 4-powered PLS-SEM analysis, organizations can improve the decision-making process, which may lead to improved project performance through reduced delays, cost overruns, and safety incidents. Ultimately, the study contributes to supporting construction risk management practices in Yemen, providing important details for stakeholders looking for ways to improve project performance outcomes.

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This quantitative research in Yemen examines the critical relationship between a proactive risk management procedure and construction project performance. Partial Least-Squares Structural Equation Modeling (PLS-SEM), with SmartPLS 4 software, was employed to analyze data collected from 171 construction experts through various levels. The study investigates the impact of key various components in the proactive risk management process, that involves early identification, analysis, response, and monitoring. The findings demonstrate that effective risk management strategies have a significant beneficial influence on project performance outcomes. Notably, the research indicates early mitigation efforts as the most effective component. These findings lead into practical guidance for Yemeni construction professionals. By implementing a proactive risk management strategy with SmartPLS 4-supported PLS-SEM analysis, organizations may improve decision-making processes, probably leading to enhanced project performance through educed delays, cost overruns, and safety incidents. Ultimately, the research contributes support Yemeni construction risk management practices, providing significant details for stakeholders aiming for ways to enhance project performance outcomes."

"Penelitian ini berfokus pada penentuan tingkat persediaan dalam rantai pasok hilir produk BBM RON 90 di PT. Pertamina (Persero) wilayah kerja Sumatera Bagian Selatan. PT Pertamina (Persero) merupakan perusahaan Badan Usaha Milik Negara (BUMN) yang menyediakan bahan bakar bagi mayoritas masyarakat Indonesia. Permasalahan variabilitas pasokan dan permintaan menjadi permasalahan dalam menjaga stabilitas layanan terhadap masyarakat. Biaya persediaan yang tinggi serta sepenuhnya menjadi beban perusahaan juga menjadi suatu permasalahan yang perlu dikendalikan. Oleh karena itu penentuan tingkatan persediaan menjadi sangat penting untuk memitigasi adanya varibilitas pasokan dan permintaan yang terjadi dengan biaya persediaan yang optimum. Penelitian ini merancang model probabilistik dengan mempertimbangkan variabilitas pada pasokan dan permintaan untuk penentuan safety stock sehingga dapat diketahui tingkat persediaan BBM RON 90 yang tepat di masing-masing titik penyimpanan BBM atau biasa disebut dengan Terminal BBM (TBBM). Metode penelitian ini adalah penelitian kuantitatif berdasarkan data-data empiris perusahaan. Hasil penelitian diharapkan dapat memperoleh pengendalian persediaan yang dapat menjadi pertimbangan manajemen dalam mengelola rantai pasok hilir BBM RON 90.

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This research focuses on determining the level of inventory in a downstream supply chain for RON 90 Gasoline products at PT. Pertamina (Persero) area of Southern Sumatra. PT Pertamina (Persero) is a State-Owned Enterprise (SOE) company that provides fuel for most of Indonesian people. The variability in supply and demand is a problem in maintaining the stability of services to the consumers. High inventory costs that are completely borne by the company are also a problem that needs to be controlled. Therefore, determining inventory levels is very important to mitigate the variability of supply and demand that occurs with optimum inventory costs. This research designs a probabilistic model by considering variability in supply and demand to determine safety stock so that the correct level of RON 90 Gasoline Fuel inventory at each Storage Point Fuel Terminal can be determined. This research method is quantitative research based on company empirical data. It is hoped that the research results will be able to obtain inventory control which can be taken into consideration by management in managing the downstream supply chain of RON 90 Gasoline Fuel."

"Penelitian ini berfokus pada analisis peran Indonesia sebagai anggota G20 pasca KTT G20 2022 yang diselenggarakannya, dengan menggunakan analitik data canggih. Penelitian ini menyelidiki bagaimana penyelenggaraan acara seperti KTT G20 mempengaruhi kedudukan ekonomi dan politik Indonesia, serta kesesuaiannya dengan Tujuan Pembangunan Berkelanjutan (SDGs) dan kawasan ASEAN. Studi ini menggunakan berbagai sumber data, termasuk data perdagangan, kehadiran asing, dan teks legislatif, dengan menerapkan metode seperti analisis jaringan dan deret waktu untuk evaluasi yang komprehensif. Hasilnya menunjukkan bahwa penyelenggaraan mega-event tersebut mengarah pada peningkatan yang signifikan dalam hubungan luar negeri Indonesia, peningkatan kehadiran internasional, dan hasil ekonomi yang positif. Selain itu, penelitian ini menyoroti posisi unik Indonesia sebagai satu-satunya anggota ASEAN di G20, yang memberikan keuntungan strategis yang belum sepenuhnya dimanfaatkan. Studi ini juga mengidentifikasi indikator SDGs utama yang harus diprioritaskan oleh pembuat kebijakan Indonesia, seperti kesetaraan gender, aksi iklim, pendidikan berkualitas, dan kemitraan untuk tujuan-tujuan tersebut. Kesimpulannya, penelitian ini menekankan pentingnya terus menyelenggarakan acara internasional dan menyelaraskan kebijakan nasional dengan standar global untuk meningkatkan kedudukan global Indonesia dan mendorong pembangunan berkelanjutan. Wawasan ini bertujuan untuk memandu pembuatan kebijakan di masa depan, terutama dalam konteks prioritas ekonomi Indonesia yang terus berkembang dan keterlibatan internasionalnya.

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This study focuses on analyzing Indonesia's role as a member of the G20 post the 2022 G20 Summit it hosted, using advanced data analytics. It investigates how hosting events like the G20 Summit affects Indonesia’s economic and political standing, and its alignment with Sustainable Development Goals (SDGs) and the ASEAN region. The study utilizes a range of data sources, including trade data, foreign presence, and legislative texts, applying methods like network and time-series analysis for a comprehensive evaluation. The results indicate that hosting the mega-events leads to significant improvements in Indonesia's foreign relations, increased international presence, and positive economic outcomes. Additionally, it highlighted Indonesia's unique position as the only ASEAN member in the G20, providing strategic advantages yet to be fully exploited. The study also identified key SDG indicators that Indonesian policymakers should prioritize, such as gender equality, climate action, quality education, and partnerships for the goals. In conclusion, the research underscores the importance of continuing to host international events and aligning national policies with global standards to enhance Indonesia's global standing and foster sustainable development. These insights aim to guide future policy-making, particularly in the context of Indonesia's evolving economic priorities and international engagements."

"Perusahaan bahan baku farmasi Indonesia mempunyai posisi penting dalam rantai pasok produk obat, karena 90-95% bahan baku farmasi masih diimpor. Oleh karena itu, sangat penting untuk mengukur kemampuan perusahaan bahan baku farmasi di Indonesia dalam menjaga rantai pasokannya. Penelitian ini bertujuan untuk menilai dan menganalisis dampak External Integration (EI), Supply Chain Agility (SCA), dan Supply Chain Innovativeness (SCI) terhadap keunggulan kompetitif (KK). Penelitian ini juga mengeksplorasi peran mediasi SCA dan SCI dalam hubungan antara EI dan KK. Penelitian ini merupakan penelitian kuantitatif yang melibatkan 84 perusahaan bahan baku farmasi dengan partial-least square structural equation modelling (PLS-SEM) sebagai alat analisis. Hasil penelitian menunjukkan bahwa EI memiliki pengaruh signifikan terhadap SCA, SCI, dan KK. Hasil temuan juga menunjukkan bahwa SCA berpengaruh positif dan signifikan terhadap KK. Selain itu, SCA memainkan peran mediasi dalam korelasi antara EI dan KK. Namun, dampak SCI terhadap KK, dan peran mediasinya, tidak didukung dengan data. Hal ini menunjukkan bahwa kemampuan EI dan SCA mempunyai peran penting dalam meningkatkan KK perusahaan bahan baku farmasi di Indonesia.

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Indonesian pharmaceutical raw material companies have an important position in the supply chain of drug products because 90-95% of pharmaceutical raw materials are still imported. Therefore, it is very important to measure the ability of pharmaceutical raw material companies to maintain the pharmaceutical supply chain in Indonesia. The aim of this study is to evaluate and examine the impact of External Integration (EI), Supply Chain Agility (SCA), and Supply Chain Innovativeness (SCI) on competitive advantage (KK). This study also explored the mediation role of SCA and SCI in the relationship between EI and KK. This study involved 84 Pharmaceutical raw material companies and used quantitative method with partial-least squares structural equation modeling (PLS-SEM) as the analysis tool. The results showed that EI had a positive and significant effect on SCA, SCI, and KK. Furthermore, the findings indicated that SCA positively and significantly influenced KK. Additionally, SCA played a mediating role in the correlation between EI and KK. However, the effect of SCI on KK and its mediating role were not supported by the data. This indicates that the capabilities of EI and SCA play an important role in improving the KK of pharmaceutical raw material companies in Indonesia. "