Article Per Year (5 Year)
p-Index From 2020 - 2025
0.778
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INDUSTRI
Nurhasanah, Nunung Nurhasanah
Unknown Affiliation
Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Standard Time Measurement and Optimization of the Number of Labor at Ruang Klambi Convection with the Approach of Work Sampling and Work Load Analysis (WLA)  Khairunnissa, Lydwiza Firdananda Khairunnissa; Nurhasanah, Nunung Nurhasanah; Purwandari, Aprilia Tri Purwandari; Khairunnissa, Lydwiza Firdananda
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.19851

Abstract

Several companies indirectly give excessive workloads that are considered to increase productivity. Besides workload, the work environment is important in encouraging employees to work optimally. Ruang Klambi Convection does not have a good work system due to the absence of an effective work schedule and poor work environment conditions. This can allow for overload or excessive workload on each worker. The primary motivation for this study is to improve work efficiency at Ruang Klambi Convection, which faces problems of excessive workload and a non-optimal work environment. Through the Work Sampling and Work Load Analysis approach, this study aims to measure standard production time and determine the optimal number of workers, thus reflecting a significant paradigm in measuring standard time. This study was conducted by calculating the standard time required to produce a midi dress with an average order of 30 pieces, measuring and analyzing the workload level from each workstation, and determining the optimal number of workers. Based on the calculations, the results show that the standard time to fulfill an order of 30 pieces is 106.2 hours (equivalent to 5 days). In addition, based on the analysis of the workload of each workstation, two workstations are classified as overloaded, namely workstations I (Pattern Making and Cutting) and II (Sewing), so it is necessary to add a worker to both workstations to achieve a fit workload.
Development Of A Digital Platform Prototype For The Sustainable Decision Support System On The Kenaf Fiber Agro-Industry Supply Chain Nurhasanah, Nunung Nurhasanah; Riyana, Tharra Riyana; Noriko, Nita Noriko; Wibowo, Dhia Wibowo; Ramadanti, Amelia Ramadanti; Haryadi, Dody Haryadi
JURNAL TEKNIK INDUSTRI Vol. 14 No. 1 (2024): March 2024
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v14i1.21138

Abstract

Kenaf plants are able to absorb 21 to 89 tons of CO2 per hectare per year, depending on the agronomic management and environment. Kenaf plant-based fiber agro-industry in Indonesia serves as an upstream industry that has a potential to increase the export value contribution of kenaf dried fiber, while allowing domestic demand for kenaf dried fiber to be met through Indonesian production. This will have an impact on the reduced value of kenaf dried fiber import. The purpose of this study was to develop a digital platform prototype of a sustainable decision support system for kenaf fiber agro-industry supply chains. Development of this digital platform relied on an Android OS with Java language based decision support system framework, which was previously established using a system development life cycle (SDLC), Waterfall model. This research has succeeded in developing a digital platform decision support system for a sustainable kenaf fiber agro-industry supply chain using a waterfall model SDLC approach. This digital platform helps users to make decisions regarding alternative opportunities for cleaner production and increasing green productivity through measuring green productivity indexes with GVSM as the input. This research can be further developed for implementation of intelligent system-based DSS. Therefore, in future research, DSS can be developed with a model-based management system using an intelligent systems approach.
Business Model Canvas for Kenaf Fiber Agro-industry Development inUpstream Supply Chain Networks Nurhasanah, Nunung Nurhasanah; Hakim, Muhammad Hakim; Chirzun, Ahmad Chirzun; Sriwana, Iphov; Ramadanti, Amelia
JURNAL TEKNIK INDUSTRI Vol. 14 No. 2 (2024): July 2024
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v14i2.21148

Abstract

Kenaf fiber is one of plant-based fibers used as an industrial raw material. The business model canvasin this study was an approach used to describe the business model of kenaf fiber agro-industry in theupstream supply chain network. This study aimed to identify value propositions, structural models ofdevelopment strategies, and to design a business model canvas for the agro-industry. AnInterpretative structural modelling method was used to construct a structural model for thedevelopment strategy, and the business model canvas was used to describe this agro-industrybusiness model. BMC is a framework that helps business people describe the current business model.This approach is a static approach that uses past data. However, this approach becomes dynamicafter being integrated with certain scientific methods so that it is able to describe its business modelin the future. The structural model identified that the prominent element that had the significantinfluence on this business was seed suppliers, while the prominent element in development of thisagro-industry strategy was an institution. This research is still limited to the upstream supply chainnetwork, therefore, future research can be developed on the mid-stream and downstream supplychain networks. 
Inventory Planning in The Supply Chain Network of Sunflower Agro-Industry Nurhasanah, Nunung Nurhasanah; Putri, Hani Adinda; Noviyanti, Anissa; Riyana, Tharra Azzahra; Aribowo, Budi; Haryadi, Dody; Sudarwati, Wiwik
JURNAL TEKNIK INDUSTRI Vol. 15 No. 2 (2025): July 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i2.21842

Abstract

Sunflower agro-industry can potentially be a raw material for vegetable oil from seeds. In Indonesia, sunflower is a vegetable oil that is produced very limitedly. However, inventory planning is needed in the sunflower agro-industry's supply chain system to maximize this potential. At the same time, the sunflower agro-industry does not yet have a formal production and inventory planning system. Production activities are carried out based on the owner's intuition or orders received by the marketing department. The sunflower agro-industry supply chains consist of upstream, midstream, and downstream, but this research focused on the upstream and midstream segments. The upstream supply chain consists of sunflower seeds. Meanwhile, the midstream supply chain consists of sunflower cooking oil with 250 ml, 500 ml, and 1 liter packaging. This research aims to design the inventory planning by determining the economic order quantity using the single order quantity (SOQ) method, safety stock, number of orders, and reorder points. The results obtained in this study are the economic order, number of safety stock, number of orders, reorder points, and reorder points graph for sunflower agro-industry supply chains in 6 months. The upstream stage exhibits higher inventory requirements compared to the midstream. This may be caused by the need to buffer against higher variability in raw material availability. While the midstream inventory planning focuses on maintaining minimal safety stock due to predictable demand.
Co-Authors Budi Aribowo Chirzun, Ahmad Chirzun Hakim, Muhammad Hakim Haryadi, Dody Haryadi, Dody Haryadi Khairunnissa, Lydwiza Firdananda Khairunnissa, Lydwiza Firdananda Khairunnissa Noriko, Nita Noriko Noviyanti, Anissa Purwandari, Aprilia Tri Purwandari Putri, Hani Adinda Ramadanti, Amelia Ramadanti, Amelia Ramadanti Riyana, Tharra Azzahra Riyana, Tharra Riyana Sriwana, Iphov Wibowo, Dhia Wibowo Wiwik Sudarwati