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All Journal Sigmagri Jurnal Teknologi dan Inovasi Industri
Prayoga, Rian Adi
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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Pengaruh Kadar Air terhadap Yield Minyak Atsiri Daun Kayu Putih (Melaleuca leucadendra L.) dengan Metode Hydro-Steam Distillation Prayoga, Rian Adi; Taharuddin, Taharuddin; Haviz, Muhammad
Jurnal Teknologi dan Inovasi Industri (JTII) Vol 3, No 2 (2022)
Publisher : Fakultas Teknik, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtii.v3i2.51

Abstract

Kayu putih (Melaleuca leucadendra L.) merupakan salah satu dari 12 bahan  potensial untuk diolah menjadi minyak atsiri dengan peluang komoditi ekspor yang tinggi. Untuk mengoptimalkan pemanfaatan potensi minyak kayu putih, maka perlu dilakukan usaha untuk menaikan yield dan mutu minyak sesuai dengan SNI. Salah satu caranya adalah memperbaiki kondisi operasi agar proses distilasi dapat menghasilkan yield yang optimal. Tujuan dari penelitian ini adalah untuk menjelaskan pengaruh kadar air bahan daun kayu putih terhadap yield yang dihasilkan. Metode yang digunakan adalah metode eksperimen langsung.  Variabel berubah adalah kadar air bahan dari perlakuan keringangin (0, 24, 48, 72 dan 240 jam). Kemudian dilakukan pengujian meliputi uji GC-MS (Gas Chromatography-Mass Spectometry). Hasil penelitian menunjukkan yield tertinggi adalah perlakuan keringangin 24 jam yaitu 0,5840% dengan kadar air 35,12%.
Analisis Teknikal untuk Meramalkan Harga Saham Agribisnis pada Indeks D232 BEI Prayoga, Rian Adi; Sukma, Septi Ambar Indraningtia; Purbowo, Purbowo; Chusnah, Miftachul
Sigmagri Vol. 5 No. 2 (2025): Desember
Publisher : Program Studi Agribisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/sigmagri.v5i2.1578

Abstract

This study analyzes the stock performance of selected agribusiness companies listed in the D232 Index on the Indonesia Stock Exchange from 2020 to 2024. The research aims to identify buy and sell signals using a combination of Moving Average (MA) and Stochastic Oscillator indicators. A quantitative descriptive method was employed, and eight representative stocks were analyzed. Results show that stocks such as AALI, ANDI, ANJT, and BISI exhibit strong buy signals supported by golden cross patterns and oversold conditions, while BWPT, CSRA, and DSNG present strong sell signals indicated by death cross patterns and overbought conditions. The integration of technical indicators allows investors to make informed decisions on entry and exit points. This study contributes to the literature by applying a dual-indicator approach specifically to the agribusiness sector, highlighting the relevance of MA and Stochastic Oscillator in predicting price trends and supporting investment strategies. Recommendations include using these indicators to guide trading decisions and continuously monitoring market movements for optimal timing.
Co-Authors Chusnah, Miftachul M. Haviz Purbowo, Purbowo Septi Ambar Indraningtia Sukma Taharuddin Taharuddin