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All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Ilmiah Teknik Industri Jurnal Sistem Teknik Industri Journal of Industrial Engineering and Halal Industries Journal of Chemical Engineering Research Progress
Manalu, Haposan Vincentius
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Religion Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Hidrolisis Hemiselulosa pada Kulit Pisang Ambon Hong (Musa Acuminata) Menggunakan Katalis Asam Sulfat (H2SO4) pada Produksi Xilosa Haposan Vincentius Manalu; Yusuf Wibisono; Dina Wahyu Indriani
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 8, No 1 (2020)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2020.008.01.05

Abstract

Dalam penelitian ini, proses hidrolisis digunakan untuk mendegradasi hemiselulosa menjadi xilosa dengan menggunakan asam sulfat (H2SO4) sebagai katalisnya. Bahan utama yang digunakan adalah kulit pisang Ambon Hong (Musa acuminata) yang sudah matang. Proses hidrolisis berlangsung pada suhu 1210C menggunakan autoclave. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) dengan kombinasi dua faktor, yaitu konsentrasi asam sulfat (0,2; 0,3; dan 0,4 M) dan waktu hidrolisis (40; 50; dan 60 menit). Hasil penelitian ini menunjukkan bahwa faktor variasi konsentrasi asam sulfat memberikan pengaruh yang signifikan terhadap kandungan xilosa, sedangkan faktor waktu hidrolisis tidak memberikan pengaruh yang signifikan terhadap kandungan xilosa. Faktor variasi konsentrasi asam sulfat dan variasi waktu hidrolisis tidak memberikan pengaruh yang signifikan terhadap rendemen hasil hidrolisis. Kandungan xilosa tertinggi menggunakan kombinasi konsentrasi H2SO4 0,3 M dan waktu hidrolisis 50 menit dengan pengujian metode DNS adalah 0,081% dan terendah menggunakan kombinasi konsentrasi H2SO4 0,2 M dan waktu hidrolisis 40 menit adalah 0,004%. Kandungan xilosa tertinggi menggunakan konsentrasi H2SO4 sebesar 0,3 M dengan pengujian HPLC adalah 0,679% dan terendah menggunakan konsentrasi H2SO4 sebesar 0,2 M sebesar 0,667% dengan waktu hidrolisis sebesar 40 menit. Kulit Pisang Ambon Hong mempunyai kadar air basis basah sebesar 87,02%.
Permutation Flowshop Scheduling in ED Aluminium Using Metaheuristic Approaches Haposan Vincentius Manalu; Fatiha Widyanti; Nur Mayke Eka Normasari; Andiny Trie Oktavia; Achmad Pratama Rifai
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.3003

Abstract

This study proposes metaheuristics to solve the permutation flowshop scheduling problem in ED Aluminium which produces kitchen utensils. The aim is to find the processing sequence of products that results in the shortest total completion time, minimizing makespan and total flowtime. Three metaheuristics are developed, which are Simulated Annealing (SA), Large Neighborhood Search (LNS), and Ant Colony Optimization (ACO). Experiments are performed in this research to evaluate the three algorithms. The result using the simulated annealing algorithm is considered better because it has a shorter makespan. The contribution of this study is developing Simulated Annealing, Large Neighborhood Search, and Ant Colony Optimization to solve the problem.
Revenue Management Strategies in Airline Industry: A Literature Review Manalu, Haposan Vincentius; Demas Haryo Bismantoko; Oktaviana Putri; Kresna Adi Mahendra
Jurnal Sistem Teknik Industri Vol. 26 No. 1 (2024): JSTI Volume 26 Number 1 January 2024
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v26i1.14363

Abstract

The airline industry has rapidly evolved, fostering intense competition among companies. This competition drives airlines to formulate strategies for revenue maximization, giving rise to Revenue Management. This literature review spans the past 13 years, examining the development of Airline Revenue Management methods. By analyzing 22 journals with at least Q2 and SINTA 2 indexing, three primary scopes emerge: Quantity Decision, Pricing Decision, and Structural Decision. Airlines predominantly employ dynamic pricing and programming to optimize revenue by adapting to ongoing changes. The development trend in Airline Revenue Management indicates a shift towards faster and more accurate processing through increased integration with simulation and algorithm programming. This paper identifies the three main scopes involved in revenue management strategies and explores the diverse approaches airlines take to optimize income. Notably, dynamic pricing and programming remain prevalent methods, adapting to changing decision variables. The evolving landscape emphasizes integration with advanced technology for efficient processing. The study utilizes numerical and case studies to exemplify the ongoing development of Airline Revenue Management methods within this dynamic industry.
OPTIMALISASI PENGIRIMAN BARANG UNTUK MEMAKSIMALKAN GROSS PROFIT PADA PT LOGISTIK ABC Kurniawan, Wahyu; Manalu, Haposan Vincentius; Putri, Oktaviana; Kemalaintan, Nurmasitya; Husain, Fakhril
Jurnal Ilmiah Teknik Industri Vol. 12 No. 2 (2024): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v12i2.27085

Abstract

The COVID-19 pandemic has had a significant impact on the Indonesian economy, particularly in the transportation and logistics sector. This sector has experienced fluctuations in financial performance triggered by the COVID-19 pandemic. However, after overcoming this challenging period, the Indonesian economy has shown positive trends. A leading logistics company, PT Logistik ABC, located in Jakarta, has a non-exclusive working agreement with a herbal medicine manufacturing company, PT XYZ. PT XYZ provides the required quantity of goods, but PT Logistik ABC is not obligated to fulfill the entire demand. The issue lies with PT Logistik ABC, as they transport goods from Jakarta to Semarang, but the fleet condition from Semarang to Jakarta is empty. With this situation, PT Logistik ABC aims for a higher gross profit by maximizing the available resources. Therefore, this study employs an optimization approach to optimize gross profit using non-linear programming. The optimal gross profit obtained is Rp150,893,000.00, representing 62% increase from the previous amount of Rp93,461,000.00.
Enhance Removal Pollutant from Batik Industrial Wastewater via Photo- Fenton Process: Efficiency and Kinetic Study Setiawan, Oki; Adriani, Siti; Manalu, Haposan Vincentius; Amalia, Aninditiya; Dewi, Ifti Luthviana; Kamil, Insan; Sari, Darti Purnama; Sasniati, Popi
Journal of Chemical Engineering Research Progress 2025: JCERP, Volume 2 Issue 2 Year 2025 December 2025 (Issue in Progress)
Publisher : UPT Laboratorium Terpadu, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jcerp.20467

Abstract

The present research evaluates the efficiency of the Photo-Fenton-like process under UV irradiation by varying ratio of hydrogen peroxide (H₂O₂) to Chemical Oxygen Demand (COD) and H₂O₂ to ferrous ion (Fe²⁺) using wastewater from a batik manufacturer in Gresik. Initial experiments demonstrated that varying the ratio of H2O2/COD contributes to Chemical Oxygen Demand (COD) removal, while maintaining a constant H2O2/Fe2+ ratio. The result reveals a significant effect on Chemical Oxygen Demand (COD) removal achieving 64.58% efficiency which indicates that highly reactive OH* radicals successfully generated in photo-Fenton-like process. Further optimization by increasing the ratio H2O2/COD = 15 (g/g) and H2O2/Fe2+ = 20 (g/g) resulting on maximum percentage of Chemical Oxygen Demand (COD) removal of 92.47% proving the massive production of OH* radicals. The kinetics reaction model which describes the Chemical Oxygen Demand (COD) degradation rate showed the BMG kinetic model, with parameters of 1/m = 0.9352, 1/b = 0.7159, and a coefficient of determination (R²) of 0.9986, indicating an excellent fit and high predictive accuracy of the kinetic model for this process. Copyright © 2025 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Co-Authors Achmad Pratama Rifai Adriani, Siti Amalia, Aninditiya Andiny Trie Oktavia Demas Haryo Bismantoko Dewi, Ifti Luthviana Dina Wahyu Indriani Fatiha Widyanti Husain, Fakhril Kamil, Insan Kemalaintan, Nurmasitya Kresna Adi Mahendra Nur Mayke Eka Normasari Oktaviana Putri Putri, Oktaviana Sari, Darti Purnama Sasniati, Popi Setiawan, Oki Wahyu Kurniawan Yusuf Wibisono