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"Dalam meningkatkan nilai tambah pengolahan mineral, pemerintah menyusun kebijakan melalui Undang Undang No. 4 Tahun 2009 tentang Pertambangan Mineral dan Batubara yang kemudian ditindaklanjuti melalui Peraturan Menteri Energi dan Sumber Daya Mineral Nomor 1 tahun 2014 tentang Peningkatan Nilai Tambah Mineral Melalui Kegiatan Pengolahan dan Pemurnian Mineral di dalam negeri. Tanggapan yang mendukung pengolahan minerba (Mineral dan Batubara) dalam negeri adalah untuk memperkuat industri dalam negeri dengan alasan bahwa industri nasional membutuhkan ketersediaan bahan baku secara berkelanjutan. Tanggapan yang masih mendukung ekspor minerba mentah memiliki alasan bahwa industri dalam negeri belum mampu menyerap seluruh pertambangan mineral. Kebijakan larangan ekspor mineral mentah diikuti oleh kewajiban pembangunan smelter untuk pengolahan/pemurnian mineral mentah. Penelitian ini dilakukan untuk mengkaji dampak kebijakan larangan ekspor mineral mentah dan pembangunan smelter terhadap output dan pendapatan masyarakat Indonesia. Penelitian ini menggunakan metode analisis input-output yang dimutakhirkan dengan teknik RAS tahun 2014 pada tabel input-output Indonesia tahun 2010. Pembangunan smelter dipandang sebagai investasi terhadap perekonomian Indonesia. Dalam penelitian ini terdapat 4 (empat simulasi) yaitu: (1) penurunan ekspor 100% dan investasi sesuai target 100%; (2) penurunan ekspor 100% dan investasi aktual; (3) penurunan ekspor aktual dan invetasi 100% dan (4) perubahan ekspor aktual dan investasi aktual. Nilai 100 % ekspor adalah ekspor 2014-2016 dan ekspor aktual selisih ekspor tahun 2013-2014, tahun 2014-2015 dan tahun 2015-2016. Investasi 100% adalah investasi pembangunan smelter selama tahun 2014-2016 baik yang sudah beroperasi dan belum beroperasi, dan investasi aktual adalah smelter yang beroperasi. Dampak simulasi I menyebabkan output naik Rp20,191,766 juta dan pendapatan naik Rp2,045,980 juta. Dampak Simulasi II menyebabkan output turun Rp131,373,464 juta dan pendapatan turun Rp19,053,229 juta; dampak simulasi III menyebabkan output naik Rp34,447,700 juta dan pendapatan turun Rp6,496,011 juta; serta dampak simulasi IV menyebabkan output turun Rp117,117,531 juta dan pendapatan turun Rp27,595,220 juta.......In increasing the added value of mineral processing, the government prepares the policy through Law no. 4 of 2009 on Mineral and Coal Mining which is then followed up through Minister of Energy and Mineral Resources Regulation No. 1 of 2014 on Increasing Mineral Added Value through Mineral Processing and Purification Activities in the country. The response that supports the domestic minerals (Coal and Coal) processing is to strengthen the domestic industry on the grounds that national industries need sustainable supply of raw materials. Responses that still support the export of raw minerba have a reason that the domestic industry has not been able to absorb all mineral mining. The policy on the prohibition of raw mineral exports is followed by the obligation of smelter development for processing / refining of crude minerals. This study was conducted to examine the impact of the policy on the prohibition of raw mineral exports and smelter development on the output and income of Indonesians. This research uses an updated input-output analysis method with RAS technique of 2014 in Indonesian input- output table in 2010. The development of smelter is seen as investment to Indonesian economy. In this research there are 4 (four simulation) that is: (1) 100% export decrease and investment target 100%; (2) 100% export decline and actual investment; (3) actual export decline and 100% investment and (4) actual export changes and actual investment. The value of 100% of exports is export from 2014-2016 and actual export exports in 2013-2014, 2014-2015 and 2015-2016. 100% investment is a smelter development investment during the year 2014-2016 both already operating and not yet operating, and actual investment is the smelter that operates. The impact of simulation I caused the output to rise Rp20,191,766 million and income increased Rp2,045,980 million. Simulation Impact II caused output to fall by Rp131,373,464 million and revenue decreased Rp19,053,229 million; The impact of simulation III caused the output to rise Rp34,447,700 million and revenue decreased Rp6,496,011 million; As well as the impact of the IV simulation caused the output to fall Rp117,117,531 million and the income down Rp27,595,220 million."

"The Indonesian government adopted mineral export taxes by imposing a high tariff on raw materials while waiving tariffs on processed products. Tariffs decreased following the progress of refinery plant construction. Based on the fixed effects panel regression at the commodity-country-pair level, this study finds that the export taxes system negatively reduces raw material export while increasing processed mineral export. Tariff stratification on mineral commodities distorts trade patterns, affecting business orientation in upstream and downstream sectors. Furthermore, tier tariff significantly elevates the export quantity of downstream products compared to flat export taxes, directly proportional to export value. Export contraction of raw materials resulted from tier tariff slightly lower than the flat type but with a higher exports performance of processed products. The shifting phenomena to the value-added industry indicate an effort for export taxes evasion. This finding is reinforced by the massive investment inflow in the mineral processing sector. Meanwhile, the exporter manufacturing industry positively correlates with the export performance of processed products and a negative direction with raw material, which aligns with the main finding."

"Pada 5 tahun terakhir, permintaan kemasan fleksibel mengalami pertumbuhan rata-rata sebesar 10 tiap tahunnya yang diikuti dengan munculnya pemain baru yang menyebabkan persaingan di industri kemasan fleksibel semakin ketat, sehingga muncul tantangan besar yang dihadapi perusahaan kemasan fleksibel di Indonesia, yaitu bagaimana perusahaan dapat mengefisiensikan biaya operasinya agar dapat bersaing. Salah satu cara mengefisiensikan biaya operasi adalah dengan melakukan manajemen persediaan yang baik dengan memperhatikan komponen biaya persediaan untuk didapat keputusan kuantitas Q dan waktu pesan T sehingga didapat total biaya persediaan minimal. Manajemen persediaan merupakan tema dalam penelitian ini dengan objek penelitian yaitu salah satu perusahaan kemasan fleksibel di Cikarang. Metode yang digunakan dalam penelitian ini adalah klasifikasi ABC untuk menentukan tingkat kepentingan bahan baku dan Mixed Integer Linear Programming MILP untuk mendapatkan total biaya persediaan minimal. Hasil dari penelitian ini adalah terdapat 31 bahan baku yang masuk ke dalam kategori A dari 230 bahan baku di perusahaan, diperoleh jumlah kuantitas pesan Q bahan baku, lead time kedatangan bahan baku T , dan total biaya persediaan 31 bahan baku klasifikasi A, serta diperoleh faktor-faktor apa saja yang mempengaruhi besar total biaya persediaan, yaitu biaya simpan, biaya pesan, demand, dan jumlah persediaan pengaman. ......In the last 5 years, flexible packaging demand grow 10 per year in average and followed by the emergence of new players that cause competition in the flexible packaging industry getting tighter, so that there is big challenge that faced by flexible packaging companies in Indonesia, that is how companies can has efficient operating cost in order to compete. One of the way to efficient operating cost is manage inventory well by taking into account the components of the inventory cost for obtaining quantity decisions Q and order time T to obtain the minimum total inventory cost. Inventory management is theme of this research with the object of the research is one of the flexible packaging company in Cikarang. The method that used in this research is ABC classification to determine the importance of raw materials and Mixed Integer Linear Programming MILP to get the minimum total inventory cost. The results of this research are 31 raw materials that categorized as category A from 230 raw materials in the company, obtained quantity of order Q of raw material, arrival lead time of raw material T , and total inventory cost of 31 raw materials from classification A, as well as obtained any factors that affect total inventory cost, that are holding cost, order cost, demand, and number of safety stock."