Judul: Macroeconomic Faktors Affecting Agricultural Sector Stock Indices Through VECM
Abstrak: LAZUARDI BAHRUL HIDAYAT. Faktor Makroekonomi yang Mempengaruhi Indeks Saham Sektor Pertanian Melalui Pendekatan Vector Error Corection Model (VECM) Dibimbing oleh JOKO PURWONO Beberapa faktor makroekonomi yang mempengaruhi Indeks Harga Saham Sektor Pertanian adalah BI 7-Day Repo Rate, Inflasi, Kurs JISDOR, dan jumlah uang beredar (M2). Tujuan penelitian ini adalah untuk menganalisa bagaimana pengaruh variabel BI 7-Day Repo Rate, Inflasi, Kurs JISDOR dan Jumlah Uang Beredar (M2) terhadap Indeks Harga Saham Sektor Pertanian. Penelitian menggunakan data bulanan yang diperoleh melalui website Bank Indonesia, Badan Pusat Statistik, Kemenkeu, Kemendagri, dan Yahoo Finance selama periode Juni 2016 – Juli 2020. Metode analisis yang digunakan pada penelitian ini adalah Vector Error Corection Model (VECM). Hasil penelitian ini menunjukkan model terbaik adalah VECM(1) dengan pemodelan jangka panjang hanya variabel jumlah uang beredar (M2), dan BI 7-Day Repo Rate signifikan pada taraf nyata 5% yang mempengaruhi Indeks Saham Sektor Pertanian. Sedangkan pada jangka pendek terdapat 3 lag yang mempengaruhi Indeks Saham Sektor Pertanian signifikan. Yaitu, INFLASI lag ke 1 ke 2 dan ke 3.
Keyword: Stock, Makroeconomic, VECM

Judul: Analisis Hubungan Indeks Harga Saham Gabungan dengan Faktor Makroekonomi Menggunakan Vector Error Correction Model
Abstrak: Vector Error Correction Model (VECM) merupakan bentuk vector autoregressive yang terestriksi. Restriksi diberikan karena keberadaan data tidak stasioner namun terkointegrasi. Spesifikasi VECM merestriksi hubungan jangka panjang variabel-variabel tak bebas agar konvergen ke dalam hubungan kointegrasinya, namun tetap membiarkan dinamika jangka pendek. Penelitian ini bertujuan untuk menganalisis hubungan antara Indeks Harga Saham Gabungan (IHSG) dengan faktor makroekonomi, yaitu di antaranya nilai tukar Rupiah terhadap Dolar Amerika (USD), suku bunga Bank Indonesia, tingkat inflasi Indonesia, ekspor Indonesia, dan impor Indonesia dengan menggunakan model VECM. Data penelitian yang digunakan merupakan data bulanan periode Januari tahun 2015 hingga Januari tahun 2020. Model yang didapatkan adalah VECM dengan 3 rank kointegrasi. Selanjutnya, model tersebut diimplementasikan dalam Impulse Response Function (IRF) dan Forecast Error Variance Decomposition (FEVD) untuk melihat pengaruh jangka panjang seluruh faktor makroekonomi terhadap IHSG. Selain itu, seluruh faktor makroekonomi juga memiliki hubungan kausalitas Granger atau hubungan timbal balik dengan IHSG., Vector Error Correction Model (VECM) is a restricted form of autoregressive vector. Restrictions are given because the data is not stationary but cointegrated. The VECM specification restricts the long-term relationship of the dependent variables to converge into the cointegration relationship, but still allows short-term dynamics. This research aims to analyze the relationship between the Jakarta Composite Index (JCI) and macroeconomic factors, namely the exchange rate Rupiah against the US Dollar, interest rate of Bank Indonesia, the inflation rate of Indonesia, Indonesia’s exports and imports using VECM. The research data used are monthly data for the period January 2015 to January 2020. The model obtained is VECM with 3 cointegration ranks. Furthermore, the model is implemented in the Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) to see the long-term relationship of all macroeconomic factors on JCI. In addition, macroeconomic factors have a Granger causality or reciprocal relationship with the JCI.
Keyword: Vector Error Correction Model, Impulse Response Function, Forecast Error Variance Decomposition, JCI

Judul: Synthesis of Apatite - Chitosan Composite Using Duck Eggshell and Chitosan with Temperature and pH Control
Abstrak: Composite of apatite-chitosan was prepared by using chitosan as polymer matrix. Calcium phosphate was prepared from CaO and (NH4)2HPO4, which the ratio Ca : P had to be 1.67. Chitosan is produced by deacetilase from biopolymer chitin. Duck eggshell (95% CaCO3) as starting material was converted to be calcium oxide (CaO) through calcinations with temperature 1000oC for 5 hours. In-situ and ex-situ methods were prepared from apatite and chitosan (dissolved with acetate acid 2%). Calcium phosphate prepared for bone implantation, but it is too fragile and brittle to be implant into the body. So addition of chitosan can decrease crystalinity and increase mechanic characteristic (tougher). Composite apatite-chitosan was resulted by fast precipitation. Fast precipitation was held in a breaker glass with nitrogen atmosphere, under controlled temperature at 37oC and pH 7, in order to increase amount of hydroxyapatite. Precipitation with CaO which was dropped by (NH4)2HPO4. Hydroxyapatite and chitosan were appearing at samples with in-situ and ex-situ methods which indicating by peak matching of XRD (closed lattice parameter, crystal size), overlapping at FTIR spectra and supporting by SEM picture (homogenous and agglomerated particle). However, it still needs further research to examine biocompatibility osteoconductive degree of sample by in-vivo and in-vitro test.
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