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"Salah satu bagian penting dari sistem logistik dalam perdagangan nasional dan internasional adalah sistem transportasi multimoda. Tujuan utama dari sistem transportasi multimoda adalah transshipment barang dari satu moda transportasi ke moda transportasi yang lain. Dalam proses pemindahan barang digunakan beberapa alat semi-otomatis dan otomatis seperti, AS / RS Vehicle, robot, konveyor, stacker, dan AVG (Automatic vehicle for Goods), yang bekerja untuk memuat dan membongkar barang dari satu moda transportasi ke moda transportasi yang lain. Penelitian ini dikonsentrasikan pada simulasi sistem semi-otomatis dari pemindahan barang khususnya dari bandara Lesquin ke platform multimodal Delta 3, Perancis dengan mengimplementasikan AVG yang biasa disebut dalam bahasa Perancis adalah VAM (Véhicule Automatique pour Marchandises). Hasil penelitian ini adalah sebuah konsep baru dari sistem transportasi multimoda yang lebih ekonomis, cepat, aman dan ramah lingkungan.

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One of an important part of the logistics system in the national and international trade is multimodal transport system. The main purpose of a multimodal transport system is the transshipment of goods from one mode of transport to another. In the process of transshipment of goods used several tools of semi-automatic and automatic such as, AS/RS Vehicle, robot, conveyor, stacker and AVG (Automatic vehicle for Goods), that worked to load and unload goods from a transport mode to another.

This research concern about the simulation of semi-automatic system of the transhipment of goods particularly from Lesquin Airport to Delta 3 Platform Multimodal with the implementation of future AVG (Automated Vehicle for Goods), that called in French as VAM (Véhicule Automatique pour Marchandises).The results of this research is a new concept of multimodal transport systems are more economic, fast, safe and environment friendly."

"Penelitian ini melakukan simulasi pembagian peran (work-sharing) negara anggota ASEAN dalam pengembangan ASEAN Defense Industry Collaboration (ADIC). Sebagai studi kasus, Armored Personnel Carrier (APC) Anoa 6x6 Pindad dipilih menjadi objek kolaborasi. Pembagian peran dilakukan pada struktur komponen tingkat 2 Anoa 6x6 Pindad, yang terdiri dari 76 komponen. Pembagian dilakukan secara ideal, yaitu didasarkan pada keunggulan komparatif yang tercermin dalam perhitungan empat indeks Revealed Comparative Advantage (RCA), yaitu (1) Indeks RCA Balassa (BI atau BRCA); (2) Indeks Symmetric RCA (SI atau SRCA); (3) Indeks Additive RCA (AI atau ARCA); dan (4) Indeks Normalized RCA (NRCA). Hasilnya, Thailand dan Singapura muncul sebagai ?pemenang‟ dengan mendapatkan hak pengembangan dan produksi atas masing-masing 40 dan 21 dari total 76 komponen yang disimulasikan.

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This study simulates work-sharing of ASEAN member countries in the development of ASEAN Defense Industry Collaboration (ADIC). As case of study, Armored Personnel Carrier (APC) Anoa 6x6 Pindad is choosen as object of collaboration. The work-sharing is conducted on second tier of Anoa component structure, which consists of 76 components. The work-sharing is conducted in ?ideal‟, which is based on comparative advantage that is showed by the calculation of four Revealed Comparative Advantage (RCA) indices, (1) Balassa RCA (BI or BRCA); (2) Symmetric RCA (SI or SRCA); (3) Additive RCA (AI or ARCA); and (4) Normalized RCA (NI or NRCA). The result of this study conludes Thailand and Singapore as the ?winner‟ which get right to develop and produce each 40 and 21 of total 76 component."

"Karakteristik dari transformasi digital pada manufaktur adalah penerapan teknologi mutakhir yang mendukung proses dan informasi yang terkoneksi antara mesin-mesin produksi, dan produk serta adaptabilitas tinggi dari suatu sistem produksi. Dalam mencapai tujuan utama Industri 4.0 yaitu smart manufacturing yang dapat merespons fluktuasi permintaan pasar terhadap produk berkualitas tinggi, dibutuhkan penerapan teknologi yang dapat mengumpulkan dan menganalisis data yang menghasilkan solusi secara cerdas disebut sebagai pemanfaatan Data Analytics. Tujuan pada penelitian ini adalah memberikan rekomendasi strategi berupa urutan prioritas kriteria kesuksesan untuk dapat digunakan para pemangku kepentingan di perusahaan manufaktur dengan melakukan implementasi transformasi digital yang efektif. Metode AHP (Analytic Hierarchy Process) digunakan pada penelitian ini untuk mendapatkan prioritas faktor kesuksesan yang menjadi dasar rekomendasi strategi dalam meningkatkan efektivitas implementasi Data Analytics pada manufaktur. Hasil penelitian ditemukan bahwa 3 faktor kesuksesan teratas adalah Effective data driven communication (People & Management), Technology & Infrastructure Integration (Technology) kemudian Training & Upskilling (People & Management).

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Technological developments always create new challenges for organizations to adapt so that they remain competitive. Today, organizations are dealing with rapid technological developments and the disruption of digital transformation. The characteristics of digital transformation in manufacturing are the application of the latest technology that supports so that processes and information are connected, between production machines, and products as well as the high adaptability of a production system. In achieving the main goal of Industry 4.0, namely smart manufacturing that can respond to fluctuations of market demand for high-quality products, it is necessary to apply technology that can collect and analyze data to produce intelligent solutions, which is often referred to as the use of Data Analytics. Literature study shows that there are various barriers or barriers in the implementation of Data Analytics in manufacturing companies. However, none of these studies have discussed what success factors need to be prioritized for treatment. This causes the implementation of Data Analytics in manufacturing to be less effective. The aim of this research is to provide strategic recommendations in the form of a priority sequence of success criteria that can be used by stakeholders in manufacturing companies to be able to implement effective digital transformation. Determining the priority of handling obstacles in the implementation of Data Analytics is a Multi-criteria Decision Making (MCDM) problem, the AHP method is used in this study to obtain priority success factors which are the basis for strategic recommendations in increasing the effectiveness of Data Analytics implementation in manufacturing. From the research results, it was found that the top 3 success factors were Effective data driven communication (People & Management), Technology & Infrastructure Integration (Technology) then Training & Upskilling (People & Management).

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"The purpose of this research was to determine the influence of leverage ratio, liquidity ratio, profitability ratio, the portion oi stocks owned by public firm size, and company ages on mandatory disclosure comprehensiveness o financial statement. The sample consisted of 80 manufacturing companies listed at Indonesia Stock Exchange from 2008-2010 selected using purposive sampling method. Descriptive statistics and the multiple regression method were used to analyze the hypotheses. The results of this research showed that only firm size that influence the mandatory disclosure positively and liquidity ratio that influence the mandatory disclosure negatively. This research also showed that there was no autocorrelation, multicollinearity, and heteroscedasticity."

"ABSTRAKDewasa ini, perusahaan-perusahaan besar di dunia tidak lagi hanya mementingkan keuntungan yang bisa didapatkan, namun juga memperhatikan bagaimana caranya agar perusahaan dapat memberikan kontribusinya untuk pembangunan yang berkesinambungan terhadap lingkungan sekitarnya. Hal tersebut terjadi bukan hanya karena tuntutan dari dunia global, namun timbul dari etika bisnis yang dimiliki oleh perusahaan, di mana perusahaan merasa memiliki tanggung jawab untuk dapat memberikan sesuatu kepada para stakeholder atau pemegang kepentingan. Adapun tujuan dari penelitian ini adalah untuk mengetahui pengaruh dari kode etik persusahaan terhadap pelaksanaan filantropi perusahaan di salah satu perusahaan manufaktur, PT. SPPI, sebagai salah satu bagian dari Siam Cement Group yang merupakan sebuah perusahaan multinasional yang berasal dari Thailand dan memiliki fokus terhadap kegiatan CSR dan pembangunan berkelanjutan untuk wilayah sekitar, khususnya di mana perusahaannya berada. Di mana hasil dari penelitian ini menyatakan bahwa kode etik memiliki pengaruh terhadap filantropi perusahaan dan pada akhirnya berdampak pada niat pengunduran diri karyawan. Penelitian ini dilakukan pada bulan November-Desember 2016 dengan metode deskriptif single cross section dan melibatkan 101 responden yang merupakan karyawan dari PT. SPPI. Pengolahan data penelitian dilakukan dengan menggunakan structural equation modelling SEM.

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ABSTRACTThese days, world rsquo s biggest companies do not only concern on getting profit, but also focus on how the companies could still give contributions for suistanable development in their surroundings. This happens not only because of demands from the global world, but also emerges from business ethic of the companies in which the companies have responsibility to give something to the stakeholders. This study is aimed to identify the influence of company rsquo s ethic code towards company philanthropy action in one of manufacturing companies, PT. SPPI, as a part of Siam Cement Group, a multinational company originated from Thailand and focused on CSR and continuous development in their surroundings. The results of this study are ethic code has influence on company philanthropy and eventually impacted on turnover intention of employee. This study is done on November December 2016 with single cross section descriptive method, and involving 101 respondents which are employees of PT. SPPI. The researcher used structural equation modeling SEM as data processing technique."

"ABSTRAKPemanasan global, emisi karbon, dan menipisnya sumber daya alam telah menandai perubahan signifikan dalam cara industri memenuhi permintaan pasar. Dalam konteks ini penghijauan rantai pasokan telah mendapatkan perhatian para praktisi di banyak negara. Menurut laporan World Resources Institute pada 2014 rangking Indonesia sebagai negara penghasil emisi karbon (CO2) tertinggi dunia di bawah China, Amerika Serikat, Uni Eropa, India, dan Rusia. Total emisi karbon yang dihasilkan Indonesia adalah 2,05 miliar ton. Pemerintah juga telah mengatur regulasi terkait ini. Penelitian ini mendorong industri untuk memperluas sudut pandang kepedulian lingkungan dengan menerapkan konsep green supply chain management yang menekankan industri untuk menggunakan supplier yang juga memiliki kepedulian terhadap lingkungan. Industri kaca harus mulai memikirkan bahwa semua material yang diperoleh yang berasal dari supplier telah menerapkan green process. Hal tersebut tercermin dalam adanya kriteria pemilihan green supplier dalam seleksi supplier. Metode Analytical Hierarchy Process (AHP) digunakan untuk pembobotan dan perangkingan alternatif kriteria dalam pemilihan supplier yang menerapkan green process dan ramah lingkungan. Supplier dengan bobot prioritas tertinggi dipilih sebagai pemasok terbaik

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ABSTRACTGlobal warming, carbon emissions, and depletion of natural resources have marked significant changes in the way industry meets market demand. In this context, greening the supply chain has gained the attention of practitioners in many countries. According to the report the World Resources Institute in 2014 ranked Indonesia as the worlds highest carbon emitter (CO2) under China, the United States, the European Union, India and Russia. The total carbon emissions produced by Indonesia are 2.05 billion tons. The government has also regulated these related regulations. This research encourages industry to expand the viewpoint of environmental concern by applying the green supply chain management concept which emphasizes the industry to use suppliers who also have environmental concerns. The glass industry must begin to think that all materials obtained from suppliers have implemented a green process. This is reflected in the existence of green supplier selection criteria in supplier selection. The Analytical Hierarchy Process (AHP) method is used for weighting and ranking of alternative criteria in selecting suppliers that implement green processes and are environmentally friendly. The supplier with the highest priority weight is chosen as the best supplier"