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All Journal Seminar Nasional Teknik Kimia Kejuangan Jurnal Ilmu Komputer
Joni Prasetyo
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science

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Pengaruh Kondisi Operasi pada Pembuatan Green Diesel dari MinyakNyamplung dengan Katalis NiMo/Al2O3 dan NiW/Al2O3 Sumbogo Murti S.D.; Joni Prasetyo; Galuh Wirama M; Adiarso Adiarso
Prosiding Seminar Nasional Teknik Kimia "Kejuangan" 2017: PROSIDING SNTKK
Publisher : Seminar Nasional Teknik Kimia Kejuangan

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The attractiveness of biodiesel as an alternative fuel compared to fossil fuels because it has many advantages such as the availability of abundant raw materials, more environmentally friendly, high combustion efficiency, low sulfur content, high cetane number and biodegradability. Making biodiesel from callophylum inophyllum oil has been done through the hydrogenation process. Callophylum inophylum oil was treated via degumming and neutralisation to remove all impurities before hydroprocesing. Hydroprocessing was carried out in a 500ml autoclve at 30 – 50 MPa of initial hydrogen pressure, 300 – 400 oC of reaction temperature and equiped with stirrer and cooling sistem. NiMo/Al2O3 or NiW/Al2O3 was activated with CS2 mixture at 370 oC prior to the reaction. Some physical and chemical properties of the catalytic hydroprocessing product have been investigated in accordance to ASTM standard. The measurement result of product varies according to the operation condition. The result showed that calophyllum inophullum oil can be used as raw material for green diesel over NiMo/Al2O3 and NiW/Al2O3. Sulfided NiMo/Al2O3 catalysts are preferred due to high diesel yield.
Improvement on Diesel Conversion of HydroDeOxygenation Nyamplung Oil by Multi Stage H2 Joni Prasetyo; Galuh Wirama Murti; Sumbogo Murti SD; Adiarso .; Gina Taspiah; Yulianti Christina; Fadlillah Akbar
Prosiding Seminar Nasional Teknik Kimia "Kejuangan" 2017: PROSIDING SNTKK
Publisher : Seminar Nasional Teknik Kimia Kejuangan

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Nyamplung (Calophyllum inophyllum L.) has a high survival potency in wide variety environment, fruitingall year round and easy regeneration. Nyamplung oil is the most suitable raw material as feedstock of biofuelbecause of its high yield of the seeds and in utilization not compete with food interests. Utilization nyamplungoil for Green Diesel through two basic stages, processing into Pure Plant Oil (PPO) and PPO upgradinginto Green Diesel. PPO upgrading with target Green Diesel further divided into two stages:Hydrodeoxygenation (HDO) and isomerization. In this preliminary study, PPO upgrading is only carried outby HDO only using NiMo catalyst. HDO is done in batch processes to identify the characteristics of theprocess at a temperature of 300oC, bar and the 5% catalyst. Meanwhile, to increase the nyamplung oilconversion into diesel, then the multi-stage Hydrogen (H2) was done in the process. Stage number of H2inserting is the major parameter in this HDO process. In the multi-stage H2: 1 times, 2 times and 4 times intothe reactor. Multi-stage H2 is done by replacing the H2 gas into the reactor, after a process gas frompreviously discarded. Carboxilation and carbonilation occurs in HDO process. By multi-stage H2, it showedan increasing yield of diesel conversion. From 1x stage H2 inserting to 2x and 4x stages of H2, it improve theyield from 0.32% to 0.76% and to 1.3%. This shows that the yield HDO is determined largely by theeffectiveness of H2 and PPO contact with the catalyst therein. Unfortunately, this condition is very difficult tobe achieved at a high pressure batch reactor. Further testing is doing HDO in a continuous reactor andobtained the conversion reached a yield of 50.48%.
Uji Performansi Algoritma K.Means Dalam Mencari Cluster Terbaik Pada Data Sales, Stock Produk Food Beverage (Studi Kasus: PT.Airmas International) Haris Fadhillah; Achmad Hindasyah; Joni Prasetyo
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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This research was conducted with the aim of knowing the products that are most in demand by customers, also knowing the products that sell less and knowing the accuracy of testing the performance of sales, stock data. The qualitative method used focuses on interpretation and understanding of interviews or observations to collect sales data, stock of 23 food beverage product items. The results of manual calculation of the k-means algorithm with sales data, stock is to find out the number of products that are in demand by customers with categories: very salable = 3 product items, salable = 5 product items, less salable = 15 product items, then sales data, stock is tested with RapidMiner and Python applications for clustering / grouping what products are in demand by customers the results are the same as the categories: very salable = 3 product items, salable = 5 product items, less salable = 15 product items and looking for the best number of clusters is 3.
Co-Authors Achmad Hindasyah Adiarso . Adiarso Adiarso Fadlillah Akbar Galuh Wirama M Galuh Wirama Murti Gina Taspiah Haris Fadhillah Sumbogo Murti S.D. Sumbogo Murti SD Yulianti Christina