cover
Contact Name
Yusuf Mauluddin
Contact Email
yusuf.mauluddin@itg.ac.id
Phone
+6282124588750
Journal Mail Official
kalibrasi@itg.ac.id
Editorial Address
Jl. Mayor Syamsu No.1, Jayaraga, Kec. Tarogong Kidul, Kabupaten Garut, Jawa Barat 44151
Location
Kab. garut,
Jawa barat
INDONESIA
Jurnal Kalibrasi
ISSN : 14123614     EISSN : 23027320     DOI : https://doi.org/10.33364/kalibrasi
Core Subject : Engineering,
Jurnal Kalibrasi merupakan jurnal yang digunakan untuk mempublikasikan hasil penelitian dosen maupun mahasiswa dalam kajian bidang Teknik Industri dan Manajemen Industri. Bidang Kajian Teknik Industri, Management Industri, Ekonomi, Ergonomi, Pemasaran, Keselamatan Kerja, Kewirausahaan.
Articles 224 Documents
Strategi Peningkatan Produksi Dengan Balanced Scorecard dan ANP Al Fisimar, Farhan; Aulawi, Hilmi; Aisyah, Risa
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2830

Abstract

PT. Antaboga Pangan Nusantara faces a strategic challenge to increase its production capacity from 1,200 pieces per day to 2,500 pieces per day in order to meet its market expansion targets. This study aims to design a comprehensive production capacity improvement strategy by integrating the Balanced Scorecard (BSC) and Analytical Network Process (ANP) methods. The BSC method is used to translate the company's vision into a series of measurable strategic objectives in four perspectives: finance, customers, internal business processes, and learning and growth. Furthermore, the ANP method is used to prioritize these strategic objectives by modeling complex dependencies and feedback relationships between elements. Data was collected through documentation studies, interviews, and paired comparison questionnaires completed by internal company experts. The results of the study showed that strategic objectives in the Internal Business Process perspective, such as Production Flow Optimization and Bottleneck Elimination, had the highest priority at 17%. This is followed by objectives in the Learning and Growth perspective, such as Improving Technical Competence and Workforce Problem-Solving Skills. This integrated framework successfully provides a measurable and implementable strategic roadmap for the company to allocate resources effectively in achieving production capacity targets.
Perancangan Sistem Insentif Berbasis Design Thinking Pada Pengelolaan Sampah Organik Wijaya, Muhammad Raffly; Ikhwana, Andri; Kurniawati, Rina
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2854

Abstract

The problem of household waste in Indonesia is dominated by organic waste, but the level of sorting at source is still low. This study aims to design an incentive system for organic waste management based on maggots using a Design Thinking approach. Data was obtained through interviews based on the Theory of Planned Behavior (TPB), questionnaires administered to 30 respondents from two household communities in West Java, and technical priority analysis using the House of Quality (HOQ). The results of the study show that the main needs of residents include pick-up services, transparent deposit records, flexibility in the form of incentives, and additional rewards. The highest technical priorities were the provision of pick-up services, separate containers, and direct waste collection services. The resulting system design included a flow of deposits, weighing, recording, incentive provision, and strengthening social participation. In conclusion, this system is considered feasible to implement because it meets the needs of residents and has the potential to support the sustainability of maggot-based waste management within the framework of a circular economy.
Optimalisasi Pengendalian Persediaan Produk Perishabel di UMKM Abdul Kodir Jaelani, Akmal; Chandrahadinata, Dody; Andriyas Kurniawan, Wahyu
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.2926

Abstract

Ikbal Cuanki MSME faces inventory control problems due to seasonal demand fluctuations and production limitations, especially during the lean season and Ramadan. This study uses a quantitative approach with a seasonal Economic Order Quantity (EOQ) model based on data from July 2024 to June 2025. The results show that the optimal order quantity during normal, abundant, and lean seasons is 1,359 kg per order (9 orders per month), while during Ramadan it increases to 1,800 kg per order (9 orders per month). EOQ has been proven to reduce inventory costs and minimize the risk of excess stock. However, supporting strategies such as frozen storage, warehouse optimization, and supplier contracts are still necessary.
Estimasi Kebutuhan Tenaga Kerja Langsung Menggunakan Workload Analysis untuk Optimalisasi Beban Produksi Syarifuddin, Rizal; Hayat, Encep Jianul; Sa’dudin Tjaptjani, Dedi
Jurnal Kalibrasi Vol 23 No 2 (2025): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.23-2.3128

Abstract

This study aims to identify the optimal number of workers in the production department of a fish-processing company using the Workload Analysis (WLA) method. This method is employed to calculate labor requirements based on the measurable workload at each work station. The WLA calculations show that the total number of workers needed is 22, while the company currently employs 29 workers, indicating a surplus of 7 workers. An analysis of labor productivity from July 2022 to June 2023 reveals fluctuations in efficiency, with the highest workload recorded in February (18.1160 m³/worker/day) and the lowest in November (15.9757 m³/worker/day). In addition, the study identifies several challenges in implementing WLA, including fluctuations in market demand, uncertainties in the production process, and limitations in the data required for accurate calculations. The study recommends that the company periodically adjust its workforce, enhance its data-collection systems, and account for market fluctuations as well as the adoption of new technologies in labor planning. The findings indicate that Workload Analysis (WLA) can support more rational decision-making regarding the appropriate number of workers for production lines. The presence of a surplus of seven workers and the observed variations in productivity across periods provide empirical evidence of operational efficiency dynamics within the fish-processing industry. One practical implication of this research is that workforce levels should be regularly revised, production data recording systems should be improved, and labor planning must be strengthened to adapt to technological advancements and changing market demand. This study makes a direct contribution to ongoing efforts to enhance sustainable productivity and manufacturing efficiency.