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All Journal Seminar Nasional Teknik Kimia Kejuangan Journal of Information Systems and Informatics Jurnal Rekayasa Proses Journal of Automotive and Mechanical Applied Technology
Budiman, Yosef
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Studi Perancangan Material Komposit Berbahan Dasar Kitosan dan Selulosa Sebagai Langkah Pengendalian Limbah Tekstil Methylene Blue Budiman, Yosef; Putra, Eka Rahmat; Lestari, Ajeng Yulianti Dwi
Prosiding Seminar Nasional Teknik Kimia "Kejuangan" 2023: PROSIDING SNTKK 2023
Publisher : Seminar Nasional Teknik Kimia "Kejuangan"

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Abstract

The amount of methylene blue (MB) in water bodies is one of the environmental issues that still need to be considered. The vast concentration of MB may increase the chemical oxygen demand level, so it has the potential to disrupt aquatic ecosystems. On the other hand, the adsorption process is one of the best methods that functionalizes as a utility for dye removal. This research studied the MB adsorption characteristic using cellulose-based adsorbent from banana fronds. Adsorbents were synthesized and modified using chitosan, bentonite, and acid addition. The adsorption process occurred at various concentrations of MB (40, 60, 80, 100, and 120 ppm) then the result will be proved and calculated by analysis using UV Vis and FTIR Spectrophotometer. The result showed that the bentonite addition could not increase the adsorption capacity optimally due to fluctuating spectrum of UV-Vis. In conclusion, the adsorbent can absorb MB in wastewater which is the optimal condition at 80 ppm for 24 hours.
Simulation and evaluation of fuel distribution line from fuel terminal Tuban into integrated terminal Perak at PT Pertamina MOR V through ASPEN Plus® modeling Budiman, Yosef; Pratiwi, Dwita Cahaya; Rofiqah, Umi; Puspasari, Ifa; Wibowo, Yudha Whastu; Khotip, Moh.; Vebriono, Hendrix Eko; Hidayat, Arif
Jurnal Rekayasa Proses Vol 18 No 2 (2024): Volume 18, Number 2, 2024
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.14106

Abstract

This research aims to 1) to determine operating conditions that correspond to the amount of fuel needed to be distributed, 2) visualize the profile of pressure changes with pipe distance, and 3) compare actual conditions with simulated conditions. The research method consists of simulation of energy loss in the form of pressure drop for each type of fuel oil (gasoline and gasoil) using ASPEN Plus® software. Research results show that a greater pump pressure of 87 bar is required to distribute gasoil, compared to gasoline which only uses 82 bar to reach ideal atmospheric pressure at 750 m3/hour. Reduction in fuel pumping pressure is close to linearity, where pumping pressure will continue to decrease as piping distribution distance increases. % error is obtained by comparing the simulation results with the industrial standard which is evidenced by % error of 7.69 (moderate) in the type of gasoline fuel and % error value of 1.81 (strong) in the type of gasoil fuel. This research has been in accordance with the real conditions in the field, so it can predict the right conditions to maximize the process.
Sentiment Analysis of Consumer Acceptance of Honda’s Digital Marketing Strategy Using Lexicon-Based Algorithm Dias, Bartolomius; Khoirunnisa’, Asma’; Budiman, Yosef; Setiyawami, Setiyawami
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1150

Abstract

This study analyzes customer sentiment toward Honda’s digital marketing strategy via the Wahana Honda application. A total of 2,000 customer reviews were collected from the Google Play Store using web-scraping techniques. Text data underwent preprocessing (e.g. cleansing, tokenization, stop-word removal, stemming, and translation into English). Sentiment classification using a lexicon-based approach revealed that 56.7% of reviews were positive, 20.8% neutral, and 22.5% negative. The model demonstrated high precision in identifying negative sentiment, though it showed limitations in classifying neutral opinions due to linguistic ambiguity. These findings highlight the need for more adaptive sentiment models and offer strategic insights for Honda’s digital marketing. Specifically, the analysis can help prioritize improvements in app functionality, excellence service priority, enhance personalized customer engagement, and shape targeted digital marketing strategies based on real user feedback. Leveraging these insights enables Honda to optimize user experience, increase retention, and align digital campaigns with customer expectations.
Design Analysis of Pancanaka 2000 Tooth Bucket Structure Using Finite Element Method Fadhila, Raihan; Budiman, Yosef; Sulistyo, Bambang
Journal of Automotive and Mechanical Applied Technology Vol. 2 No. 1 (2025): June
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamat.v2i1.1381

Abstract

This study tests the structural performance of the Pancanaka 2000 tooth bucket, a common heavy-duty excavation component. The goals are to determine the component testing method, analyze the findings of finite element simulation sub-modeling, and identify the causes of structural failure. Shining 3D scanning created a detailed model of the Pancanaka 2000 tooth bucket. ANSYS simulation software performed a Finite Element Analysis on this model. A 10-ton static force was applied to imitate working circumstances on the bucket teeth tip. The simulation monitored mechanical reactions, including total displacement, von Mises stress, and safety factors, which indicate structural reliability. The study found numerous noteworthy findings. First, the computerized model of the bucket teeth allowed for an exact analysis of loading stress. The simulation revealed a region susceptible to failure under high loads, characterized by a maximum total displacement of 0.38883 mm, a maximum von Mises stress of 321.5 MPa, and a minimum safety factor of 1.328. Qualitative analysis identified material as the leading cause of fracture. Wear and scraping were noticed at the bucket tooth-adapter interface. Mechanical failure was also linked to component gaps exceeding design tolerance. These flaws lead to inappropriate load distribution and stress concentration, resulting in structural failure during operation. According to this study, the durability and performance of excavator components, such as the Pancanaka 2000 teeth bucket, depend on correct design, strict material selection, and precise assembly tolerances.
Co-Authors Arif Hidayat Bambang Sulistyo Dias, Bartolomius Fadhila, Raihan Ifa Puspasari Khoirunnisa’, Asma’ Khotip, Moh. Lestari, Ajeng Yulianti Dwi Pratiwi, Dwita Cahaya Putra, Eka Rahmat Rofiqah, Umi Setiyawami Setiyawami Vebriono, Hendrix Eko Wibowo, Yudha Whastu