Article Per Year (5 Year)
p-Index From 2021 - 2026
1.151
P-Index
This Author published in this journals
All Journal Research Report - Social Science JURNAL INTEGRASI PROSES Journal of Social Research
Budi Husodo Bisowarno
Universitas Katolik Parahyangan
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
PENDIRIAN INKUBATOR BISNIS – TEKNOLOGI UNPAR Orpha Jane; Budi Husodo Bisowarno; Ceicalia Tesavrita; Maria Widyarini
Research Report - Humanities and Social Science Vol. 2 (2015)
Publisher : Research Report - Humanities and Social Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.754 KB)

Abstract

UNPAR, sebagai salah satu institusi pendidikan tinggi, aktif ambil bagian dalam pemberdayaan kewirausahaan, melalui pendirian Center of Excellence (COE) Small and Medium Enterprises (SME) yang bertujuan menfasilitasi berbagai upaya pengembangan dan peningkatan kapasitas pelaku UMKM. Selain pendirian COE SME, pada dasarnya kontribusi UNPAR tercermin dari penyelenggaraan mata kuliah Kewirausahaan, Teknopreneurship dan Simulasi Bisnis di beberapa Jurusan yaitu Administrasi Bisnis, Manajemen, Teknik Kimia dan Teknik Industri. Melalui kuliah-kuliah tersebut terlahir pelaku usaha muda di berbagai bidang. Selama ini, orientasi mata kuliah tersebut hanya semata-mata berorientasi pada pengetahuan, sehingga kesinambungan bisnis yang sudah digagas dari para peserta tidak disiapkan secara terstruktur. Oleh karenanya dibutuhkan sebuah wadah untuk membantu mahasiswa yang betul-betul ingin menjalankan bisnisnya secara terstruktur dan profesional. Wadah ini disebut dengan Inkubator Bisnis Teknologi (IBT). Berbagai kegiatan dalam rangka pendirian IBT di tingkat universitas sudah dilakukan, dan diperoleh hasil berupa pendirian IBT di awal tahun 2016. Sebagai salah satu tindak lanjut dari program pengabdian ini adalah, pengajuan Proposal untuk Hibah Pengabdian kepada Masyarakat DIkti tahun 2016 guna mendukung operasional dari IBT yang dimaksud. Pengajuan co-worker space sebagai salah satu syarat pelaksanaan IBT akan diajukan kepada pihak universitas di awal tahun 2016. Perlunya sinergi antar program studi, terutama yang menyelenggarakan mata kuliah kewirausahaan mulai dilakukan lewat diskusi bersama dengan prodi yang dimaksud.
Pyrolysis Carbonization of Sago Starch Haryadi Wibowo; Arenst Andreas Arie; Budi Husodo Bisowarno
JURNAL INTEGRASI PROSES VOLUME 10 NOMOR 1 JUNI 2021
Publisher : JURNAL INTEGRASI PROSES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jip.v10i1.11289

Abstract

Battery requirements are increasing over time, the anode for sodium ion batteries (SIB) can use amorphous carbon. Carbon synthesis is carried out via pyrolysis. Research on the synthesis of carbon derived from sago starch is still rare. This study aims to determine the carbon characteristics of sago starch treated with nitrogen doping according to the SIB anode by taking into account the morphology, size distribution, material structure, material composition, and the distance between layers. The carbonization method used in this research is the pyrolysis process at 900 o C for 1 hour. Variations in the experiment were carried out through direct pyrolysis process with variations of urea against starch 3:1, 2:1, and pure starch. The experimental results were analysis using SEM (EDS) and XRD. The results showed that the pyrolysis process doped with nitrogen with a ratio of 3:1 urea had an interlayer distance of 0.353304 nm, 2:1 had an interlayer of 0.368059 nm, and 0.390178 nm of pure sago starch. This value indicates that carbon is a non-graphite material (> 0.3354 nm). The carbon produced from pyrolysis produces carbon that is amorphous and has a similar shape, which is like wood.
NANO CARBON SYNTHESIS FROM MICROALGAE CHLORELLA VULGARIS AS PRECURSOR OF SOLID PHASE CARBON Alexander William Prijadi; Arenst Andreas Arie; Budi Husodo Bisowarno
JURNAL INTEGRASI PROSES Vol 11, No 2 (2022)
Publisher : JURNAL INTEGRASI PROSES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jip.v11i2.15652

Abstract

Nanocarbon is a nanometer-scale substance made entirely of carbon atoms. Generally, the synthesis of nanocarbon is usually conducted using a gas-phase carbon raw material which is toxic. Therefore, the use of solid-phase carbon raw material to synthesize nanocarbon started to develop. In this research, nanocarbon will be synthesized using variations of solid-phase carbon raw material derived from a novel carbon precursor, microalgae Chlorella vulgaris. Nanocarbons produced were analyzed using SEM, XRD, and TEM. SEM analysis did not show the nanocarbon formed. However, this may be due to the nanocarbon being very small. To ensure whether nanocarbon is formed or not, XRD analysis is conducted. XRD analysis shows the possibility of forming carbon nanotubes from the sample with activated carbon as a raw material. There were peaks at diffraction angles of 24–26° and 42–43,5°, which indicated carbon nanotubes. In addition, the dc value of this sample has a value like carbon nanotubes, which is 0.344 nm. In contrast, the other two samples, which used hydrochar and microalgae as raw materials, only indicated activated carbon after the synthesis. The TEM analysis supported by XRD analysis for a sample with activated carbon as a raw material showed the presence of carbon nanotubes. This is indicated by their rope-like morphology, which is not visible in SEM analysis due to their tiny size. At the same time, the other two samples did not show any morphology indicating the presence of nanocarbon. So, it can be concluded that the synthesis of nano carbon has been successfully carried out using activated carbon as raw material and produces nano carbon with the type of carbon nanotubes.
DEEP LEARNING DENGAN METODE LSTM (LONG SHORT-TERM MEMORY) UNTUK PEMODELAN KELAKUAN DINAMIK SISTEM DISTILASI MENGGUNAKAN REAL OPERATING DATA William Kurniawan; Budi Husodo Bisowarno
JURNAL INTEGRASI PROSES Vol 13, No 1 (2024)
Publisher : JURNAL INTEGRASI PROSES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jip.v13i1.22856

Abstract

Kemurnian produk tidak dapat diukur secara on-line dan terdapat time delay dalam pengukuran kemurnian secara offline dan tidak kontinu dengan hasil analisis kemurnian dari laboratorium. Kontrol berbasis variabel inferensial merupakan alternatif untuk memprediksi dan mengendalikan kemurnian produk dengan variabel kondisi operasi yang tepat secara real-time. Pabrik memiliki data kondisi operasi (input) serta data kemurnian produk (output) berasal dari kondisi nyata pabrik dapat digunakan untuk pembangunan model deep learning. Penelitian ini dibagi menjadi tiga tahapan besar, yaitu pertama adalah tahapan persiapan data untuk menentukan variabel paling sensitif dalam memprediksi kemurnian produk menggunakan metode korelasi pearson yaitu temperatur upper column dan process knowledge yaitu pressure top column. Tahapan kedua adalah penyusunan algoritma deep learning menggunakan metode LSTM (long short-term memory) menggunakan bantuan program python.  Optimizer yang digunakan untuk melatih data adalah optimizer SGD (stochastic gradient descent). Data yang digunakan untuk melatih dan melakukan validasi model deep learning adalah data dari 2018 hingga semester pertama tahun 2019 dengan rasio training set:test data = 70:30. Tahapan ketiga adalah melatih model dan validasi model, memprediksi hasil, serta melakukan evaluasi model terhadap data pabrik terhadap set data semester kedua tahun 2019. Hasil dari pelatihan adalah model LSTM dengan nilai RMSE (root mean squared error) sebesar 1,4. Nilai validasi untuk model ini adalah RMSE sebesar 0,6389. Model ini dapat memprediksi set data semester kedua 2019 dengan nilai R2 =0,74 dan RMSE = 0,56.
Simulation of the Effect of Flow Ratio on Methyl Caproate Composition in Fractionated Methyl Ester Based on Palm Kernel Oil William Tandra; Budi Husodo Bisowarno; Tedi Hudaya
Journal of Social Research Vol. 4 No. 7 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i7.2648

Abstract

This research consists of five steps, first is literature review and Aspen Plus simulator review, this review step will not only provide initial data and assumptions, but also provide which thermodynamics data suitable to be used in Aspen Plus for this research. Second step is the data collection step, the data collected from actual recorded data such as temperature, pressure, and flow rate from one of oleochemicals plants in the June 2023 period complete with the analysis results. The data and analysis results are collected from several days in the month and selected based on normal running conditions of the plant without any interruptions. Third is the process modeling with Aspen Plus simulator using the data collected from literature review and actual plant data. Fourth step is validation of the process model using actual plant data with different modes. The last step is simulation of the process using the valid model to predict the product composition based on predetermined process parameter variation. Based on the actual plant data, valid model obtained using RadFrac Unit Operation, with reflux ratio 150, stage count at 32 stages, and feed stage at stage 23. Process parameter variation used in the simulation are reflux ratio and side product flow ratio with +/- 10% range. Based on the simulation result, reflux ratio affects methyl caproate product composition more than side product flow ratio in first methyl ester fractionation column. This model has the potential to be implemented in the plant to predict the methyl caproate composition in case of feed composition changes or deviation on the product composition itself.
Case Study: Analysis of Work Breakdown Structure on Project Completion Time in the Procurement of Industrial Oleochemicals Items Audrey Budiawan; Budi Husodo Bisowarno; Tedi Hudaya
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3027

Abstract

This research aims to analyze the application of project management in the areas of procurement knowledge (procurement) and logistics in the production facility construction project at PT X, an oleochemicals industry located in Indonesia. The problem to be solved arises from deviations in time and cost, particularly in the delivery schedule of items packaged in containers and shipped from international ports to Indonesia. These deviations result in cost overruns due to logistics delay fines. This study employs a descriptive quantitative approach using comparative analysis techniques. Primary data include project schedule documents, logistics reports, and actual cost data. The results of the analysis show that the greatest deviation occurred in the customs clearance phase and in the handling of container-to-factory transportation. The effect of schedule deviation on cost deviation is examined in this paper, and after analysis, it is concluded that there is a need to enhance the effectiveness of project change management in the procurement process to formally mitigate and integrate logistics schedule changes, thereby controlling the risk of cost overruns.
Co-Authors Alexander William Prijadi Arenst Andreas Ariestya Arlene Arbita Audrey Budiawan Ceicalia Tesavrita Haryadi Wibowo Katherine Kho Kristianto, Hans Orpha Jane Soetedjo, Jenny Novianti M Tedi Hudaya William Kurniawan William Tandra