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INDONESIA
J@TI (TEKNIK INDUSTRI)
Published by Universitas Diponegoro
ISSN : -     EISSN : 25021516     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
J@ti Undip: Jurnal Teknik Industri [e-ISSN 2502-1516] merupakan jurnal nasional yang mengangkat tulisan-tulisan penelitian dalam disiplin ilmu teknik industri. Pertama kali terbit sejak tahun 2006 hingga saat ini dengan frekuensi terbit tiga (3) kali dalam setahun. Setiap edisi terbitan berisi 8 artikel jurnal. Terbit setiap Januari, Mei, dan September.
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Articles 11 Documents
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Search results for , issue "Vol 20, No 3 (2025): September 2025" : 11 Documents clear
IMPLEMENTATION OF AGGREGATE PLANNING FOR SMES IN THE MANUFACTURING INDUSTRY Sarjono, Haryadi
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.179-185

Abstract

This study aims to examine the use of aggregate planning methods in micro, small, and medium enterprises (MSMEs) operating in the aluminum industry within the Greater Jakarta (Jabodetabek) region. It addresses the lack of structured aggregate planning practices in these enterprises and introduces an illustrative framework for evaluating labor control strategies. A heuristic approach is applied to compare cost estimations under three different aggregate planning methods: Permanent Workforce Control, Subcontract Control, and Hiring and Layoffs Control. Four MSMEs were selected as case study subjects, and cost-based simulations were conducted to demonstrate the potential impact of each method. The analysis reveals comparative outcomes of each method across the four case studies. While specific results are not detailed here, the study provides a practical view of cost variations associated with each planning strategy. The study is limited to illustrative simulation based on four MSMEs in a single industrial sector and region. Further empirical validation is recommended. The study serves as a preliminary reference for MSMEs to assess the suitability of different workforce planning approaches in response to fluctuating production demands.
MITIGASI RISIKO KECELAKAAN KERJA DI PELABUHAN DENGAN BOWTIE ANALYSIS: STUDI KASUS DI PT PELABUHAN INDONESIA REGIONAL 2 TELUK BAYUR Hendri, Ari Kurniawan; Ihsan, Taufiq; Silvia, Shinta; Maulidya, Annisa
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.186-196

Abstract

Kegiatan bongkar muat di pelabuhan merupakan aktivitas yang kompleks dan berisiko tinggi, sehingga membutuhkan perhatian khusus terhadap keselamatan dan kesehatan kerja (K3). Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan mengendalikan risiko kecelakaan kerja pada kegiatan bongkar muat di PT Pelabuhan Indonesia (Pelindo) Regional 2 Teluk Bayur. Metode yang digunakan adalah Bowtie Analysis, yang memungkinkan visualisasi dan analisis hubungan sebab-akibat dari suatu kejadian secara komprehensif.  Data dikumpulkan melalui observasi lapangan, kuesioner, wawancara dengan pekerja dan staf K3, serta studi literatur.  Hasil penelitian menunjukkan bahwa terdapat dua jenis kegiatan dengan risiko tinggi, yaitu penanganan general cargo dan penanganan peti kemas.  Ancaman utama yang dapat menyebabkan kecelakaan kerja antara lain human error, peralatan yang tidak layak, kurangnya penerangan, housekeeping yang buruk, dan cuaca buruk.  Konsekuensi dari kecelakaan kerja meliputi kematian, cedera fisik dan trauma psikologis, gangguan operasional bongkar muat, dan turunnya reputasi perusahaan.  Berdasarkan analisis risiko, dirumuskan rekomendasi strategi pengendalian risiko yang efektif, meliputi preventive control dan mitigation control, serta rekomendasi perbaikan prosedur K3 yang ada. Abstract[Mitigating Occupational Accident Risks in Ports with Bowtie Analysis: A Case Study at PT Pelabuhan Indonesia Regional 2 Teluk Bayur] Loading and unloading activities in ports are complex and high-risk operations, demanding specific attention to occupational health and safety (OHS). This study aims to identify, analyze, and control the risk of accidents in these activities at PT Pelabuhan Indonesia (Pelindo) Regional 2 Teluk Bayur. The Bowtie Analysis method is used for its comprehensive visualization and analysis of cause-and-effect relationships in accidents. Data was gathered through field observations, questionnaires, interviews with workers and OHS staff, and a literature review. The results reveal two high-risk activities: general cargo handling and container handling. Major threats leading to accidents include human error, equipment malfunction, poor lighting, inadequate housekeeping, and adverse weather. Consequences range from fatalities and physical injuries to psychological trauma, operational disruptions, and damage to the company's reputation. Based on the risk analysis, this study formulates recommendations for effective risk control strategies, including preventive and mitigation controls, along with suggestions for improving existing OHS procedures.Keywords: solar panel; renewable energy; optimization; hybrid
A NOVEL DEMAND FORECASTING METHOD USING LOGISTIC REGRESSION AND CONJOINT ANALYSIS FOR PREDICTING THE VOLUME OF NEW TRANSPORTATION ACTIVITIES Cahyono, Rully Tri; Adabi, Akmalul
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.138-147

Abstract

In developing new transportation projects, the common approach is to prioritize infrastructure first, with the expectation that demand will follow. This is particularly true for public sector logistics activities, such as seaports, airports, and logistics zones. Unlike the private sector, predicting future demand for public transportation is more challenging due to its complexity. Incorrect demand forecasting can result in improperly sized infrastructure and inefficient human resource allocation. This paper introduces a novel method for forecasting demand in public sector transportation projects. It integrates historical data with the perceptions of transportation stakeholders, improving forecasting accuracy. The method combines conjoint analysis with disaggregated forecasting for each product group. It was applied to a real case namely the Indonesian Ministry of Transportation's plan to develop a cargo transshipment terminal at Denpasar Airport in Bali. A survey of 233 logistics professionals in Jakarta, Bandung, and Denpasar was conducted, and the forecasts were verified through interviews. The results showed that the forecasts for each product category were accurate. This method’s reliability suggests its potential for use in other transportation development projects.
EVALUATION OF OFFICE CHAIR DESIGN FROM ERGONOMIC AND ANTHROPOMETRIC PERSPECTIVES Fitrianto, Taufik Ramadhan; Rahmat, Bahtiar; Nugroho, Alfani Risman; Prakoso, Galih; Afifah, Anshah Silmi; Anggiriani, Siska; Juwitasari, Dhian
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.148-154

Abstract

Workplace seating that does not match user anthropometry often leads to discomfort and musculoskeletal disorders (MSDs). This study evaluates the office chairs used at the Politeknik Industri Furnitur dan Pengolahan Kayu Kendal by combining discomfort analysis and anthropometric mismatch assessment. Thirty-two employees (16 males, 16 females) participated, completing the Nordic Body Map (NBM) questionnaire and providing seated anthropometric measurements. The NBM results revealed that lower back discomfort was the most common complaint, particularly among female respondents, who also reported higher discomfort in the neck, shoulders, and upper back. Mismatch analysis confirmed severe incompatibilities between existing chair dimensions and user anthropometry, with seat height (100% mismatch for both genders) and seat depth (94% for men, 88% for women) as the most problematic. Based on these findings, a redesigned chair was developed, lowering seat height by 30 mm and reducing seat depth by 66 mm, alongside adjustments to backrest and armrest dimensions. Comparison with Indonesian (SNI) and international ergonomic standards (ISO 9241-5, BIFMA G1, EN 1335-1) showed that the redesign falls within recommended ranges. The study demonstrates how anthropometry-based redesign can reduce mismatch and improve comfort, providing practical guidance for the local furniture industry.
OPTIMASI PENGGUNAAN SISTEM HYBRID PANEL SURYA-PLN UNTUK MEMINIMASI BIAYA ENERGI LISTRIK JANGKA PANJANG (STUDI KASUS: 20 TAHUN) Wiranata, F. Edwin; Kristiyani, Ika; Laheba, Timothy
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.155-162

Abstract

Integrasi panel surya dengan jaringan PLN menjadi salah satu solusi menjanjikan untuk mengurangi ketergantungan energi fosil dan biaya listrik. Namun, penentuan kapasitas panel surya optimal yang mempertimbangkan degradasi efisiensi dan biaya investasi masih menjadi tantangan terutama bagi konsumen rumah tangga yang memiliki luas area terbatas. Penelitian ini bertujuan untuk menghitung kapasitas panel surya optimal yang meminimasi total biaya selama 20 tahun. Metodologi penelitian ini meliputi penentuan parameter sebagai data awal, pemodelan matematika, simulasi untuk optimasi serta analisis sensitivitas. Metode yang digunakan dalam penelitian ini adalah model optimasi non-linear dengan variabel kapasitas panel surya (S), degradasi efisiensi tahunan (0,5%), dan biaya energi PLN (Rp1700/kWh). Analisis dilakukan melalui simulasi numerik untuk berbagai kapasitas S. Pada studi kasus dengan kebutuhan energi 5000 kWh/tahun, kapasitas optimal adalah 4 KWp (26,7 m²), menghasilkan total biaya Rp 48.000.000,- selama 20 tahun (penghematan 71,8% dibandingkan tanpa panel surya). Model ini memberikan kerangka kuantitatif untuk memilih ukuran sistem hybrid yang optimal, dengan sensitivitas terhadap harga panel surya dan degradasi efisiensi. Abstract[Optimization of the Solar Panel-PLN Hybrid System to Minimize Long-Term Electricity Costs: A 20-Year Case Study] Integration of solar panels with the PLN network is a promising solution to reduce dependence on fossil fuels and electricity costs. However, determining the optimal solar panel capacity that accounts for efficiency degradation and investment costs remains a challenge, especially for household consumers with limited land area. This study aims to calculate the optimal solar panel capacity that minimizes the total cost over a 20-year period. The research methodology includes determining parameters as initial data, mathematical modeling, simulation for optimization, and sensitivity analysis. The method used is a non-linear optimization model with variables such as solar panel capacity (S), annual efficiency degradation (0.5%), and PLN energy costs (IDR 1700/kWh). Numerical simulations were conducted for various solar panel capacities (S). In a case study with an energy requirement of 5000 kWh/year, the optimal capacity was found to be 4 KWp (26.7 m²), resulting in a total cost of IDR 48 million over 20 years, which represents a 71.8% savings compared to not using solar panels. This model provides a quantitative framework for selecting the optimal hybrid system size, with sensitivity to solar panel prices and efficiency degradation.Keywords: solar panel; renewable energy; optimization; hybrid
EVALUASI USABILITY WEBSITE PRODUK ORGANIK DENGAN METODE SYSTEM USABILITY SCALE Nabila, Aisyah Sifa; Setyaningrum, Ratih
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.163-178

Abstract

Peran User Interface (UI) dan User Experience (UX) sangat penting dalam meningkatkan kemudahan penggunaan dan kepuasan pengguna website. Permasalahan utama penelitian ini adalah ketidakpastian faktor usability yang paling berpengaruh terhadap persepsi pengguna. Penelitian ini bertujuan mengevaluasi pengaruh learnability, efficiency, memorability, dan tampilan/fitur terhadap persepsi antarmuka website produkorganik.id. Metode yang digunakan adalah pendekatan kuantitatif dengan kuesioner System Usability Scale (26 butir pertanyaan) yang divalidasi ahli dan diisi oleh 51 responden. Analisis dilakukan menggunakan uji validitas, reliabilitas, normalitas, regresi linier berganda, dan One Way ANOVA. Hasil penelitian menunjukkan bahwa learnability (F hitung = 4,529; sig. = 0,000) dan tampilan/fitur (F hitung = 8,844; sig. = 0,000) berpengaruh signifikan terhadap persepsi antarmuka, sedangkan efficiency (F hitung = 2,079; sig. = 0,043) dan memorability (F hitung = 2,655; sig. = 0,011) tidak berpengaruh signifikan. Temuan ini menegaskan pentingnya kemudahan pembelajaran dan kualitas visual dalam meningkatkan pengalaman pengguna. Implikasi praktisnya, pengembang disarankan memprioritaskan perbaikan desain antarmuka yang intuitif dan menarik untuk meningkatkan kepuasan pengguna. Abstract[Usability Evaluation of Organic Product Websites Using the System Usability Scale Method] The role of User Interface (UI) and User Experience (UX) is essential in enhancing website usability and user satisfaction. The main problem addressed in this study is the uncertainty regarding which usability factors have the most significant influence on user perceptions. This research aims to evaluate the effects of learnability, efficiency, memorability, and appearance/features on the interface perception of produkorganik.id. A quantitative approach was employed using a 26-item System Usability Scale questionnaire, validated by experts and completed by 51 respondents. Data analysis included validity, reliability, and normality tests, multiple linear regression, and One-Way ANOVA. The research findings indicate that learnability (F = 4.529; p = 0.000) and appearance/features (F = 8.844; p = 0.000) have a significant effect on interface perception, while efficiency (F = 2.079; p = 0.043) and memorability (F = 2.655; p = 0.011) do not have a significant effect. These findings emphasize the importance of ease of learning and visual quality in improving user experience. In practical terms, developers are encouraged to prioritize intuitive and visually appealing interface designs to enhance user satisfaction.Keywords: user interface; user experience; usability testing
A FRAMEWORK FOR WASTE REDUCTION IN HONEY SUPPLY CHAIN Yudha, I Made Dwika Parama; Dewa, Parama Kartika; Kurnianingtyas, Maria Chandra Dewi
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.197-208

Abstract

Honey is a key raw material in the traditional medicine industry, processed through a supply chain that involves various stakeholders, such as suppliers, producers, and distributors. However, the management of the honey supply chain faces several challenges, particularly related to waste, including overproduction, excess inventory of raw materials, and defective products. This study aims to develop a framework for reducing waste in the honey supply chain using a Seven Wastes approach to identify problems, conduct root cause analysis through a fishbone diagram, and map the roles and classifications of stakeholders in implementing solutions. The results indicate that waste is caused by various factors, and the roles of stakeholders are classified based on supply chain drivers. This classification includes the management of machine capacity and maintenance at facilities, the implementation of Economic Order Quantity (EOQ), Just-in-Time (JIT), safety stock systems, as well as improvements in raw material quality in inventory management and procurement, and information classification using a forecasting system based on historical data. The implementation of these solutions is expected to optimize supply chain management and reduce waste.
STRATEGI TOTAL PRODUCTIVE MAINTENANCE UNTUKMENINGKATKAN OEE DI INDUSTRI: SYSTEMATIC LITERATUR REVIEW Rohman, Muhammad Fatkhur; Irwan, Hery
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.209-219

Abstract

Masalah kerusakan mesin yang berulang dan rendahnya efisiensi proses produksi masih menjadi tantangan utama dalam industri manufaktur. Untuk mengatasi hal ini, Total Productive Maintenance (TPM) diterapkan sebagai pendekatan strategis untuk meningkatkan efektivitas dan produktivitas peralatan. Artikel ini menyajikan tinjauan literatur sistematis terhadap 50 artikel ilmiah yang diterbitkan antara tahun 2018 hingga 2024, yang membahas praktik penerapan TPM di berbagai sektor industri. Mayoritas studi menggunakan Overall Equipment Effectiveness (OEE) sebagai parameter utama untuk mengukur keberhasilan TPM, dengan rata-rata peningkatan OEE sebesar 10% hingga 30%. Namun, ditemukan pula berbagai hambatan, terutama pada sektor UKM, seperti keterbatasan anggaran, kurangnya pelatihan teknis, serta rendahnya kesadaran manajemen terhadap pentingnya pemeliharaan. Selain itu, distribusi literatur masih berfokus pada industri skala menengah dan besar, sedangkan penelitian yang fokus pada UKM masih sangat terbatas. Dengan demikian, terdapat peluang besar untuk mengembangkan model implementasi TPM yang lebih sederhana, adaptif, dan sesuai dengan keterbatasan sumber daya UKM. Kajian ini diharapkan dapat menjadi dasar bagi pengembangan kebijakan, pelatihan, dan strategi implementasi TPM yang lebih inklusif dan aplikatif di masa mendatang. Abstract[Total Productive Maintenance Strategy for Improving OEE in Industry: A Systematic Literature Review] The problem of repeated machine breakdowns and low efficiency of the production process is still a major challenge in the manufacturing industry. To address this, Total Productive Maintenance (TPM) is applied as a strategic approach to improve equipment effectiveness and productivity. This article presents a systematic literature review of 50 scientific articles published between 2018 and 2024 that discuss the practice of implementing Total Productive Maintenance (TPM) in various industrial sectors. The majority of studies used Overall Equipment Effectiveness (OEE) as the primary parameter to measure the success of Total Productive Maintenance (TPM), with an average OEE improvement of 10% to 30%. However, various barriers were found, especially in the SME sector, such as budget constraints, lack of technical training, and low management awareness of the importance of maintenance. In addition, the distribution of literature still focuses on medium and large-scale industries, while research focusing on SMEs is still very limited. Thus, there is a great opportunity to develop a TPM implementation model that is simpler, adaptive, and suited to the limited resources of SMEs. This study is expected to serve as a basis for the development of more inclusive and applicable TPM policies, training, and implementation strategies in the future.Keywords: Total Productive Maintenance; Overall Equipment Effectiveness; 8 TPM Pillars
ADAPTIVE PRODUCTIVITY MODEL: INTEGRATING LEAN OFFICE AND INDUSTRY 4.0 IN MODERN ADMINISTRATIVE SYSTEMS Umami, Anjeli Riza; Jumali, Muhamad Abdul; Rusdiyantoro, Rusdiyantoro
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.220-225

Abstract

In the wake of digital disruption and operational volatility, organizations are compelled to reimagine productivity beyond traditional efficiency. This study introduces an adaptive productivity model by fusing Lean Office practices with Industry 4.0 technologies—specifically IoT, AI, and Big Data analytics—within administrative systems of professional service firms. Using a mixed-methods design, data from 44 participants in a public valuation office were analyzed through multiple regression, revealing a strong predictive capacity (R² = 0.908). Lean Office (β = 0.281, p = 0.016) and Industry 4.0 (β = 0.253, p = 0.020) both demonstrated significant contributions to enhanced productivity and operational responsiveness. Over 93% of respondents observed reduced process time, while 98% acknowledged improved cross-functional collaboration. These results confirm that digital-lean convergence fosters an agile, sustainable, and data-informed working culture. The proposed model offers a future-ready framework for administrative transformation—one that is lean by design, smart by technology, and resilient by culture.
REDUCING SIX BIG LOSSES THROUGH TECHNICAL AND DIGITAL INTEGRATION TO IMPROVE OVERALL EQUIPMENT EFFECTIVENESS (OEE) ON A CARTONER MACHINE IN A PHARMACEUTICAL COMPANY Maukar, Anastasia Lidya; Hanum, Dinda Latifah
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.226-240

Abstract

Improving Overall Equipment Effectiveness (OEE) On Cartoner Machine Using Six Big Losses In Pharmaceutical Company.This research aims to improve the Overall Equipment Effectiveness (OEE) of the Cartoner machine at a pharmaceutical manufacturing facility in Cikarang, Indonesia. The main problem identified was low availability, primarily caused by frequent leaflet jams and delays in spare part replacement. Root cause analysis using Fishbone Diagrams and Pareto Charts revealed that leaflet jams contributed 67% of unplanned downtime.The study applied the Six Big Losses framework, focusing on downtime reduction. Two improvements were implemented. Technically, the suction system was redesigned to enhance leaflet handling and make a form for complaint to the supplier. Digitally, a Spare Parts Inventory Management System was developed using Microsoft Power Apps, enabling real-time stock monitoring, automated alerts, and faster spare part requests. After implementation, OEE improved from 75.36% to 81.90%, and availability increased from 76.94% to 83.62%. This research demonstrates that combining technical upgrades with digital tools can significantly reduce unplanned downtime and enhance production efficiency.  

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