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All Journal Jurnal Ilmiah Teknik Industri Journal of Mechanical Engineering Science and Technology Journal of Research and Technology Civil Engineering Dimension BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Pengabdian, Pendidikan dan Teknologi International Journal of Industrial Engineering and Engineering Management
Aisyah Larasati, Aisyah
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation Other

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Effect of the Homogenization Process on Titanium Oxide-Reinforced Nanocellulose Composite Membranes Mahsuli, Taufiq; Larasati, Aisyah; Aminnudin, Aminnudin; Maulana, Jibril
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 7, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v7i22023p137

Abstract

Indonesian pineapple production can reach 200 tons per day; however, pineapples generate a significant amount of waste. Pineapple peel waste can be used to make membranes. Composite membranes containing TiO2 have dense properties, low porosity, and increase the mechanical strength of the cellulose sheet. This research uses various ultrasonic homogenizers to homogenize the distribution of nanocellulose and TiO2 (50% and 100% power with 30, 60, and 90 minutes). The casting method is used to shape the membrane. The SEM test shows that the higher the power used and the longer the sonication time, the less agglomeration of about 1.63%/ cm2 and a thickness of 16.56 µm. Identification of X-ray diffraction (XRD) results shows that sonication treatment for too long causes the peak at an angle of 25o to disappear. The analysis revealed no new peaks in the diagram pictures that were found using Fourier Transform Infrared Spectroscopy (FTIR) to analyze the functional groups, but it is known that changes occur in the O-H bonds of cellulose and C=C. The 50% sample with a power of 60 minutes had the lowest roughness value of 1.008 µm. Furthermore, as the power and time on the sample are increased, the roughness increases.
PENINGKATAN PRODUKTIVITAS KERIPIK UMKM KOTA MALANG DENGAN PEMANFAATAN TEKNOLOGI TEPAT GUNA HIGH-CAPACITY SPINNER MACHINE Budi Darmawan, Vertic Eridani; Larasati, Aisyah; Muid, Abdul; Vania, Nur Izza; Syah, Yasifun Ardian
Jurnal Pengabdian Pendidikan dan Teknologi (JP2T) Vol 4, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um080v4i22023p123-130

Abstract

UMKM memegang peranan penting dalam ekonomi nasional, menyumbang 60,5% terhadap PDB. Pada Mei 2022, transaksi makanan lokal dari UMKM melalui platform online mencapai Rp 8,137 miliar, mencerminkan pertumbuhan positif pada sektor kuliner UMKM di Kota Malang. Salah satunya, Keripik Yuda, usaha oleh-oleh di Kecamatan Blimbing, memproduksi keripik pisang, singkong, pastel, dan stik gurih. Kendala produksi terjadi pada penirisan minyak pasca penggorengan, memperlambat pengemasan dan pemasaran karena keterbatasan ruang. High-Capacity Spinner Machine (HCSM) dengan prinsip sentrifugal dan motor listrik ¼ HP digunakan untuk menangani masalah ini. Metode pelaksanaannya mencakup observasi, wawancara, diskusi dengan mitra, pembuatan HCSM, penyuluhan, dan pendampingan produksi. Hasilnya, kapasitas penirisan meningkat 10 kali lipat dari 0.1 kg/menit menjadi 1 kg/menit dengan HCSM, dan waktu pengeringan menjadi 10 kali lebih cepat, dari 10 menjadi 1 menit/kg.
PENGIDENTIFIKASIAN SEGMENTASI PENGGUNA SISTEM MANAJEMEN PEMBELAJARAN SEBUAH UNIVERSITAS DENGAN METODE TWO-STEP CLUSTERING Purnama, Agus Rachmad; Larasati, Aisyah
Journal of Research and Technology Vol. 6 No. 1 (2020): JRT Volume 6 No 1 Jun 2020
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.137 KB) | DOI: 10.55732/jrt.v6i1.147

Abstract

This study aims to identify user segmentations of a learning management system at Universitas Negeri Malang using two-step clustering method. Data is collected through an on-line survey which is linked onto the academic information systems. Total number of data are 10.594 responses. This study runs three clustering methods, two-step, k-means, and kohonen clustering, in order to identify the user segmentation. Two-step clustering methods performs better than the other two clustering methods (k-means and kohonen) based on silhouette clustering index. The number of cluster resulted from two-step clustering method are three clusters. The top three of most important factors in identifying the user segmentation are the benefit of the learning management usage in helping to access information, increasing the effectiveness of accomplishing assignments, and students satisfaction on the learning management system services.
Simulasi Progres Proyek Konstruksi Time Performance Menggunakan Earned Value Management dengan Integrasi Artificial Neural Network: Time Performance Construction Project Simulation Using Earned Value Management with Artificial Neural Network Integration Setiyono, Setiyono; Hajji, Apif Miptahul; Larasati, Aisyah; Alfianto, Imam
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 12 No 1 (2024): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil (Januari 2024)
Publisher : Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/bentang.v12i1.7296

Abstract

Digitization of construction using technologies such as AI, Big Data, Machine Learning, and Internet of Things (IoT) can help improve the productivity and efficiency of the construction industry. Machine learning methods such as Artificial Neural Network (ANN) are used to solve complex problems, including in construction projects. In addition, Earned Value Management (EVM) is used as a method to analyze and control project performance and estimate project completion time. Although EVM has the disadvantage of predicting estimated project completion times that are linear in nature, the use of non-linear methods such as Artificial Neural Network can help improve the accuracy of estimating project completion times that are complex and have a high degree of variation. This research aims to analyze the physical achievements of the work and predict estimates of work completion using Earned Value Management which is integrated with the Artificial Neural Network on the Advanced Development Project for Facilities and Infrastructure of the Sanggabuana Karawang Training Area Maintenance Detachment (Sarpras Denharrahlat) belonging to the Indonesian Ministry of Defense. By using EVM and ANN, project management can be improved in terms of cost control, scheduling, and better estimation of project completion time. The data analysis method used is EVM. The data analyzed is Week, Planned Value and Earned Value. The three data are then plotted and translated in graphical form to calculate the Schedule Variance and Schedule Performance Index to evaluate the project. After conducting an analysis using the EVM, then a predictive model is formed to calculate the estimated project completion time using the Artificial Neural Network (ANN) method. Next, optimization of the predictive model is carried out to reduce the level of prediction error. The Software used to build predictive models is RapidMiner. At week 26, work progress was 100% ahead of plan, with an Earned Schedule value of 31.00. This indicates that the project has been completed in accordance with the target time. Certain parameter modifications to the optimal model include training cycles of 100, learning rate of 0.316, and momentum of 0.316. With these parameter settings, the model produces the most accurate predictions with a low prediction error rate.
PEMS-on board and E3 Modeling: A Comparison between Real-World Measurement and Emissions Estimates from Construction Equipment M. Hajji, Apif M. Hajji; Larasati, Aisyah; P. Lewis, Michael; Yue, Huang
Civil Engineering Dimension Vol. 21 No. 2 (2019): SEPTEMBER 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.17 KB) | DOI: 10.9744/ced.21.2.59-65

Abstract

Vehicles in construction industry are typically powered by diesel engines and are considered to be an off-road source of air pollution. Air pollutant emissions include nitrogen oxides (NOx), particulate matter (PM), hydrocarbons (HC), and carbon monoxide (CO). Any engine that combusts a nonrenewable carbonaceous fuel will have net emissions of carbon dioxide (CO2). Economic-Energy-Environmental (E3) model, a statistical-modeled tool, is developed by combining a multiple linear regression (MLR) approach for modeling equipment productivity with the emissions calculation algorithm from Environment Protection Agency (EPA)’s NONROAD model. This paper compares emissions data between the field data to E3 model outputs, and  determines the similarity of the two sources of fuel use data. It is expected the two data are not narrowly similar since the field data are for individual vehicles, while E3 results are based on NONROAD model, which was intended to estimate average fuel use for a fleet of Heavy-Duty Diesel (HDD) equipment.
Analysis of the Implementation of Hazard Identification, Risk Assessment and Risk Control (HIRARC) in the Work Environment Against Work Accidents (Case Study of PT XYZ) Siregar, Ivana Maretha; Larasati, Aisyah; Muid, Abdul
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.22810

Abstract

PT XYZ, an aluminum smelting industry with high temperatures, has faced many near misses and accidents. This study aims to improve risk evaluation by analyzing the effect of the implementation and understanding of HIRARC on work accidents through the work environment. Data were collected from 179 respondents in the production section using purposive sampling and analyzed using the structural equation modeling method. The research results show that the implementation of HIRARC has a significant effect on the work environment, while the understanding of HIRARC is not significant. HIRARC implementation also affects work accidents, while the understanding of HIRARC is not significant. The work environment also influences work accidents. HIRARC implementation has an indirect effect through the work environment as a mediating variable, while understanding HIRARC has no indirect effect through the work environment. The recommendations proposed include installing blowers or shady areas with drinking water stations, using PPE, developing easy-to-understand OSH regulations and procedures, as well as implementing regular training, monitoring and evaluation.
A Postural Risk Assessment of Steamer Production Workers Using RULA and REBA Darmawan, Vertic Eridani Budi; Indra, Sofiandi Dwi; Larasati, Aisyah; Nugraha, Cahya; Fathullah, Muhammad
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.7322

Abstract

The present study examined the work posture of the worker as a basis for correcting bad postures in the workplace. Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) methods are applied to evaluate the postural risk assessment which is related to musculoskeletal disorders (MSDs). There are five workers at UD. Sidoarjo National Ship is chosen to analyze the risk posture for this study. Based on observations and calculations at UD. Sidorajo National Ship, it was found that workers were still using less than optimal methods or not supported by ergonomic workstations. The study reveals that every worker in UD. Sidoarjo National Ship workstations have a risk of getting MSDs. These indicated that the worker’s work posture was less ergonomic and required changes to lessen the risk of MDSs.
Co-Authors Abdul Muid Agus Rachmad Purnama Aminnudin, Aminnudin Budi Darmawan, Vertic Eridani Darmawan, Vertic Eridani Budi Fathullah, Muhammad Hajji, Apif Miptahul Imam Alfianto Indra, Sofiandi Dwi M. Hajji, Apif M. Hajji Mahsuli, Taufiq Maulana, Jibril Nugraha, Cahya P. Lewis, Michael Setiyono Setiyono Siregar, Ivana Maretha Syah, Yasifun Ardian Vania, Nur Izza Yue, Huang