Article Per Year (5 Year)
p-Index From 2021 - 2026
4.465
P-Index
This Author published in this journals
All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya J@TI (TEKNIK INDUSTRI) Jurnal Pendidikan Humaniora Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Journal of Mechanical Engineering Science and Technology JPSE (Journal of Physical Science and Engineering) Briliant: Jurnal Riset dan Konseptual Knowledge Engineering and Data Science PERFORMA : Media Ilmiah Teknik Industri Journal of Research and Technology Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Civil Engineering Dimension JURNAL REKAYASA TEKNOLOGI INFORMASI BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Industri Inovatif : Jurnal Teknik Industri Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Insyst : Journal of Intelligent System and Computation International Journal of Industrial Engineering and Engineering Management Automotive Experiences PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia GIAT: Teknologi untuk Masyarakat Jurnal Ilmiah Swara MaNajemen (Swara Mahasiswa Manajemen) Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Spektrum Industri
Aisyah Larasati
Universitas Negeri Malang
Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
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.
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.
Pengendalian Persediaan Kemasan Botol Air Minum Dalam Kemasan Menggunakan Simulasi Monte Carlo dan EOQ Probabilistik Amanda Eka Putri; Aisyah Larasati; Vertic Eridani Budi Darmawan
Performa: Media Ilmiah Teknik Industri Vol 23, No 2 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.2.84602

Abstract

The inventory control of material at Perumda Tirta Kanjuruhan experienced overstock in the packaging of 600 ml bottles, as evidenced by the year-end stock in large quantities remaining unused from 2020 to 2022. This indicates the need for appropriate material inventory control for the 600 ml bottle packaging. The objective of this research is to forecast the demand for Bottled Drinking Water (AMDK) products and the lead time for material ordering for the next period, determine the optimum quantity for material orders, and assess the total inventory costs between the current condition and the proposed research. This study utilizes the Monte Carlo Simulation method and Probabilistic Economic Order Quantity (EOQ). Monte Carlo Simulation is employed to predict the demand for AMDK products and lead time for material ordering in the upcoming period. Meanwhile, Probabilistic EOQ is conducted to determine the optimal order quantity for each order. Primary data collection is carried out through observations and interviews in the AMDK and Finance units. Secondary data is obtained from company data and reports, literature reviews, as well as other reference sources. The required data for this research includes historical data on the demand for AMDK products and lead time for material ordering from January to December 2022, as well as data on material inventory costs. The research results indicate that the proposed method is more optimal than the current condition, as evidenced by the lower total inventory cost.
The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem Hanif, Benzfica; Larasati, Aisyah; Nurdiansyah, Rudi; Le, Trung
Knowledge Engineering and Data Science Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v6i22023p188-198

Abstract

The Traveling Salesman Problem (TSP) effectively represents the complex distribution issues encountered by couriers, who must carefully plan a route that includes all customer addresses while minimizing the distance traveled. As the magnitude of deliveries and the range of destinations expand, the courier's responsibility becomes progressively challenging. In this particular context, the objective of our research is to expand the existing knowledge and explore the complete capabilities of Deep Q-Network (DQN) models in order to achieve the most efficient route determination. This endeavor can potentially bring about significant changes in the courier and delivery service sector. The foundation of our unique methodology relies on an empirical inquiry, utilizing a comprehensive dataset including 178 observations obtained from motorcycle-based package delivery agents. Our research is carefully planned and executed using a comprehensive factorial experimental design. This design incorporates three crucial factors: the number of hidden layers, episodes, and epochs. The hidden layer parameter is set to a singular level, while the episode parameter is configured to explore five levels, and the epoch parameter is designed to travel four levels. The evaluation of our DQN models' performance is conducted utilizing the MSE metric as a measure. This assessment is carried out at every iterative cycle, ensuring thorough scrutiny. The central focus of our research centers on the intricate connection between episodes and epochs, and their influence on MSE. The findings of our study reveal that the association between episodes, epochs, and errors is not statistically significant although different level of episodes and epochs produces slightly different level of error.
PENINGKATAN PRODUKTIVITAS KERIPIK UMKM KOTA MALANG DENGAN PEMANFAATAN TEKNOLOGI TEPAT GUNA HIGH-CAPACITY SPINNER MACHINE Budi Darmawan, Vertic Eridani; Larasati, Aisyah; Mu’id, Abdul; Vania, Nur Izza; Syah, Yasifun Ardian
Jurnal Graha Pengabdian Vol 6, No 2 (2024): JUNI
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um078v6i22024p%p

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
INOVASI ADJUSTABLE FRUIT SLICER UNTUK MENUNJANG EFISIENSI DAN EFEKTIVITAS PROSES PRODUKSI DI UMKM NICE DRY Larasati, Aisyah; Afridasari, Mayang Fikri; Santoso, Gilang Aditya; Moekti, M. Rhessal Chandra; Putro, Dilla Praditya Hutomo; Sahal, Ahmad; Pramudya, Henang Duta; Khotimah, Khusnul; Putranto, Akhsana Naufal
Jurnal Graha Pengabdian Vol 6, No 4 (2024): DESEMBER
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um078v6i42024p%p

Abstract

This project purposes to design and develop an innovative fruit cutting tool that can be adjusted by its thickness, which called Adjustable Fruit Slicer. This tool is designed to increase efficiency and effectiveness in cutting fruits. The design process was completed through several stages, including market research, concept development, as well as material analysis and manufacturing. This product is designed to be ergonomic, easy to use, and environmentally friendly with the main material being durable stainless steel. With the advantages of a modern and functional design, Adjustable Fruit Slicer is expected to meet the needs of culinary businesses, especially in fruit processing more efficiently and effectively.
PERENCANAAN DAN PENGENDALIAN PERSEDIAAN MATERIAL MENGGUNAKAN SIMULASI MONTE CARLO DAN EOQ PROBABILISTIK: STUDI KASUS: PT PLN UP3 KEDIRI Yudistira, Febrina Dzuldah; Larasati, Aisyah; Nurdiansyah, Rudi
Industri Inovatif : Jurnal Teknik Industri Vol 14 No 1 (2024): Inovatif Vol. 14 No. 1
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v14i1.9035

Abstract

Pada data historis permintaan menunjukkan adanya stockout pada material utama dalam pelayanan pelanggan. Penelitian ini bertujuan untuk menentukan permintaan material per hari pada bulan Januari–Desember 2023 dengan Simulasi Monte Carlo, menentukan kuantitas pemesanan yang ekonomis, reorder point dan safety stock menggunakan metode EOQ probabilistik dan membandingkan total biaya persediaan material hasil penelitian dengan kondisi saat ini. Analisis dilakukan dengan dua metode yang mengkombinasikan metode Simulasi Monte Carlo untuk memprediksi jumlah permintaan pelanggan listrik 3 fasa harian di masa yang akan datang dan EOQ Probabilistik untuk menentukan kuantitas pemesanan yang ekonomis, titik pemesanan kembali dan persediaan pengaman. Berdasarkan hasil penelitian dengan metode Simulasi Monte Carlo pada material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut diperoleh 1076 unit, 321 unit, 340 unit, 99.020 meter. Pada analisis EOQ Probabilistik diketahui kuantitas pemesanan yang ekonomis pada kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 72 unit, 47 unit, 48 unit 4000 meter. Selanjutnya, pada persediaan pengaman material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 12 unit, 5 unit, 7 unit dan 1518 meter. Serta titik pemesanan kembali material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 73 unit, 54 unit, 53 unit. Pada material kWh METER 5-80 A, MCB 16A, MCB 25A,CABLE POWER NFA2X-T 3X70+1X70 penurunan biaya persediaan berturut-turut sebesar Rp9.400.394, Rp117.629, Rp87.462, Rp2.575.183.
ANALISIS PREFERENSI KONSUMEN TERHADAP PRODUK PAPA SULE (PUDING PANNA COTTA SUSU KEDELAI) DENGAN METODE IMPORTANCE-PERFORMANCE ANALYSIS Khaznahar, Vitmaya; Larasati, Aisyah; Issutarti, Issutarti
PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia Vol 1 No 1 (2018): PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia
Publisher : Perkumpulan Pendidik Kewirausahaan Indonesia (Perwira Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.714 KB) | DOI: 10.21632/perwira.1.1.16-30

Abstract

This article aims to analyze the consumer preferences on Papa Sule (Puding Panna Cotta Susu Kedelai) as a new product in order to optimize the product competitiveness with Importance-Performance Analysis. This research is qualitative-descriptive research that use enclosed questionnaire for data collected method. The results of the Importance-Performance Analysis shows that the main priority for improved performance is texture pudding in the mouth (number 2) and the completeness of the information on the label of packaging (number 10). The indicators that should be maintained because consumer consider it was important on the Papa Sule are product’s taste (number 1), the product is easily swallowed up (number 3), the level of robustness of the product (number 4), the overall scent which is not unpleasant (number 6), and the suitability of the packaging with the product size (number 8). Indicator of vanilla aroma on product (number 5) and packaging not dewy (number 9) can be improved performance but wasn’t the main priority. The last indicator which is the color of the product (number 7) can be ignored by its performance because consumer thought it less important for decisions in buying Papa Sule.
Utilizing Elbow Method for Text Clustering Optimization in Analyzing Social Media Marketing Content of Indonesian e-Commerce Larasati, Aisyah; Maren, Raretha; Wulandari, Retno
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.111-120

Abstract

The massive increases in textual data from Twitter and text analytics simultaneously have driven organizations to obtain hidden insights to implement the proper marketing strategies for businesses. The vast information generated by Twitter enables most e-commerce businesses to utilize Twitter to implement social media marketing. One of those e-commerce businesses is Blibli Indonesia. Intense business competition has led them to perform marketing strategies to understand consumer tendencies. Focusing the marketing strategies on consumer preferences enables the increase of consumer interest in Blibli, which is in line with enhancing the opportunity to reach new consumers. This research aims to discover Twitter content based on k-means results to cluster the tweets of @bliblidotcom. The best cluster is determined with the elbow method by selecting the deepest curvature, three clusters. The result suggests that Twitter users like Park Seo Jun's content. Hence, Blibli can focus on that content as its business marketing strategy on the Twitter platform.
Co-Authors Abdul Muid Abdul Muid Adithya Sudiarno Afridasari, Mayang Fikri Agus Rachmad Purnama Ahmad Murtaja Dzaky Ma’arij Amanda Eka Putri Aminnudin, Aminnudin Apif M. Hajji Apif Miptahul Hajji Azrul Abdul Rahman Azzahra, Prestika Dilla Benzfica Hanif Alfi Al Idrus Chen, Yuh-Wen Dewi Hardiningtyas Diva Odilia Shafitri Dwiastuti, Anik Effendi Bin Mohamad Eridani Budi Darmawan, Vertic Erwin Komara Mindarta Fathullah, Muhammad Fatimatuzzahro, Adelia Fauziah, Taznim Hajji, Apif M. Hanif, Benzfica Haque, Salma Ayu Hary Suswanto Heru Setiyo Cahyono Heru Suryanto Huang Yue Ihwan Hamdala Imam Alfianto Indra, Sofiandi Dwi Indrawan, Yogi Fradika Ishardita Pambudi Tama Issutarti Issutarti Issutarti Issutarti, Issutarti Jibril Maulana Khaznahar, Vitmaya khusnul khotimah Laili Hidayati Le, Trung Lucia Andriani Pranita Mahsuli, Taufiq Malta R, Viola Maren, Raretha Marsono Marsono Michael P. Lewis Michael P. Lewis Moekti, M. Rhessal Chandra Mohamad Yogi Hertanto Mohamad, Effendi Muhamad Muhajir Mu’id, Abdul Nikmatus Sholikha, Nikmatus Nugraha, Cahya Nurdiansyah Rudi Nurismalatri Nurismalatri Oktavia, Andiny Trie Prabawati, Lucky Pramudya, Henang Duta Puji Rahmawati Purnomo Hadi Susilo, Purnomo Hadi Putra, Ryan Syahriel Maulana Putranto, Akhsana Naufal Putro, Dilla Praditya Hutomo Retno Wulandari Rina Rifqie Mariana Rinawan, Rangga Bayu Rizqi Prayoga Editya Rosa Putri Pertiwi Sahal, Ahmad Salsabila, Titalia Trias Santoso, Gilang Aditya Setiyono Setiyono Siregar, Ivana Maretha Soufhwee Abdul Rahman Suci Qolbiah supawi pawenang Susanto, Yohana Ruth Wulan Natalia Syah, Yasifun Ardian Teruaki Ito Titi Mutiara Kiranawati Trias Salsabila, Titalia Tuwoso Vania, Nur Izza Vertic Eridani Vertic Eridani Budi Darmawan Widi Rimastuti Widowati, Tamara Rahma Yudistira, Febrina Dzuldah