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Journal Of Industrial Engineering & Technology Innovation
Published by Yayasan Lentera Avanya Nagari
ISSN : 29883725     EISSN : 29883733     DOI : https://doi.org/10.61105/jieti
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Engineering Industrial & Manufacturing Engineering
Journal Of Industrial Engineering & Technology Innovation (JIETI) is a national journal dedicated to improving and disseminating knowledge on methods, policies, and technologies in technical sciences, energy, energy efficiency and environment, chemistry, chemical engineering, industrial engineering, transportation, quality management, and other related sciences. JIETI follows new trends and progress-proven practices in listed fields, thus creating a unique forum (platform) for interdisciplinary or multidisciplinary dialogue. Journal Of Industrial Engineering & Technology Innovation (JIETI) adalah jurnal nasional yang didedikasikan untuk meningkatkan dan menyebarluaskan pengetahuan tentang metode, kebijakan, dan teknologi dalam ilmu teknik, energi, efisiensi energi dan lingkungan, kimia, teknik kimia, teknik industri, transportasi, manajemen mutu , dan ilmu-ilmu terkait lainnya. JIETI mengikuti tren baru dan praktik yang terbukti maju di bidang yang terdaftar, sehingga menciptakan forum (platform) unik untuk dialog interdisipliner atau multidisiplin.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 46 Documents
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ANALISIS NERACA MASSA DAN ENERGI PRENEUTRALIZER PRODUKSI PUPUK NPK Fina Syafaatul Udzmah Suparman; Zainal Mustakim; Faridz Zainuddin Novianto
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.423

Abstract

The preneutralizer unit is one of the important stages in the NPK fertilizer production process, functioning as the initial reactor for slurry formation through the netralization reaction between ammonia, sulfuric acid, and phosphoric acid. The reaction is exothermic and affects the energy distribution and operating conditions of the system. This study aims to analyze the mass and energy balance of the prenetralizer unit ini the NPK fertilizer production process based on actual operating data under steady-state conditions. The calculations were carried out by considering the mass flow rate of raw materials, material purity, water content, reaction stoichiometry, sensible enthalpy changes, and heat of reaction during the process. The mass balance result showed that the total mass entering and leaving the system was balance at 31,040 kg/h without mass accumulation. In additon, the exothermix heat of reaction became the largest energy contribution in the system, reaching 12,488,557.77 kJ/h. the main products formed were ammonum sulfate and monoammonium phosphate. The result indicate that the mass and energy balance approach can be used to evaluate the performance of the preneutralizer unit in the NPK fertilizer.
ANALISIS PEMELIHARAAN MESIN PEMIPIL JAGUNG MENGGUNAKAN METODE FMEA DAN FTA PADA JASA PEMIPILAN JAGUNG DI DESA ALASBULUH WONGSOREJO Dyah Fitri Ayu Kusniah; Asfarina Hidayah; Muhammad Yusuf
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.432

Abstract

Corn is one of the strategic agricultural commodities in Indonesia that plays an important role in food security and regional economic development. In post-harvest processing, corn shelling machines are widely used to improve production efficiency and reduce manual labor. However, continuous machine operation during harvest seasons often causes component failures that can disrupt the production process and increase downtime. This study aims to identify failure modes, determine critical components, analyze the root causes of failures, and propose preventive maintenance improvements for a corn shelling machine at a corn shelling service business in Alasbuluh Village, Wongsorejo. The study employed Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods. Data were collected through direct observation, interviews, documentation, and historical machine failure records during January–February 2026. The results showed that the screen component had the highest failure risk, with Risk Priority Number (RPN) values of 378 for clogged screens and 336 for broken screen bars. The failures were mainly caused by dirty raw materials, high corn moisture content, lack of routine cleaning, excessive workload, and machine vibration. FTA results indicated that machine failures were influenced by human, machine, material, and environmental factors. Based on the findings, preventive maintenance procedures consisting of daily, weekly, and monthly maintenance activities were proposed to reduce downtime and improve machine reliability.
ANALISIS PENGENDALIAN KUALITAS PRODUK KOPI DENGAN MENGGUNAKAN METODE SEVEN TOOLS DI UMKM KOPI XYZ BANYUWANGI Asfarina Hidayah; Dyah Fitri Ayu Kusniah
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.436

Abstract

XYZ Coffee MSME in Banyuwangi is a coffee processing business that still faces product quality problems in the form of defects during the production and packaging processes. This study aims to analyze coffee product quality control using the Seven Tools method in order to identify the dominant types of defects and the factors causing defective products. The methods used in this study include check sheets, histograms, scatter diagrams, control charts, Pareto diagrams, and fishbone diagrams. The results showed that there were two types of product defects, namely broken coffee beans with 232 defects and peeling stickers with 311 defects during the period of September 2025 to January 2026. Based on the Pareto diagram results, the dominant defect was peeling stickers with a percentage of 57.3%, while broken coffee beans accounted for 42.7%. The p-chart calculation results indicated that the production process was still within statistical control limits with a Central Line (CL) value of 0.088. The main factors causing defects originated from human, method, material, and machine aspects, especially in the sticker installation process which was still carried out manually, resulting in less optimal adhesive strength. Therefore, the company needs to improve the sticker installation method, enhance the quality of adhesive materials, improve roasting machine settings, and increase worker accuracy in order to minimize the number of defective products.
DIGITALISASI INSPEKSI ALAT PROTEKSI KEBAKARAN BERBASIS QR CODE DENGAN PENDEKATAN PDCA Tegar Rizky Setiawan; Agus Suwarno; Annisa Syahliantina
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.438

Abstract

Fire is one of the main risks in industrial environments that can cause significant losses. PT XYZ has 185 fire protection devices, with fire extinguishers (APAR) and hydrants as the primary components totaling 62 units. Observations revealed that 17 of 51 APAR units (33%) and 3 of 11 hydrant units (27%) were in substandard condition, caused by a manual inspection system with weaknesses including paper-based data vulnerable to loss, lack of centralized monitoring, difficulty tracing inspection history, no expiry reminders, and slow data compilation. This study aims to analyze the actual condition of fire protection equipment, evaluate inspection compliance, and implement a QR Code-based digital inspection system using the Plan Do Check Act (PDCA) method. Simulation on 15 APAR units and 5 hydrant units demonstrated a 35% time efficiency improvement, reducing inspection time from 71 to 46 minutes. The digital system outperformed the manual system across all evaluation indicators. The estimated full implementation cost for 62 units is IDR 2,248,000, considered proportional to the risks of fire protection system failure
ANALISIS DAMPAK LISTRIK STATIS TERHADAP KERUGIAN PRODUKSI DAN BIAYA OPERASIONAL DI INDUSTRI Ratri Rahmawati; Heni Risnawati; Tuti Nadhifah; Sigit Arrohman; Helmi Nur Fajri
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.439

Abstract

One of the main issues with high-speed plastic cutting machines is the generation of static electricity due to friction between the plastic film and machine components during the production process. This study aims to analyze the impact of static electricity on production losses and operational costs in Cut-to-Length Rotary plastic cutting machines at PT Elsida Karya. The study focuses on the influence of static electricity on machine performance, production stability, and industrial operational efficiency. Previous studies have generally addressed product quality and machine maintenance, while research examining the relationship between static electricity and production losses and operational costs remains limited. The study employs a quantitative descriptive approach with a case study design. Data was collected through direct observation, interviews, production documentation, and analysis of operational data. The results indicate that static electricity causes plastic to adhere to the cutting blades, resulting in machine downtime of 15–40 minutes per shift and reducing production output from 3,000 pieces/hour to approximately 2,600–2,700 pieces/hour. Productivity decreased by approximately 10–13%, with estimated production losses reaching Rp9,000,000–Rp12,000,000 per month. The implementation of an anti-static system—including ionizers, optimized grounding, and anti-static brushes—is expected to improve production efficiency by 8–12%. Thus, a static electricity mitigation system is a critical solution for enhancing production stability and reducing operational losses in the plastics industry.
ANALISIS PRODUKTIVITAS PRODUKSI MENGGUNAKAN METODE OBJECTIVE MATRIX (OMAX) DI PT PABRIK CAT TUNGGAL DJAJA INDAH Nadya Natasya; Erni Puspanantasari Putri
Journal of Industrial Engineering & Technology Innovation Vol. 4 No. 1 (2026): Journal of Industrial Engineering & Technology Innovation (JIETI)
Publisher : LENVARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61105/jieti.v4i1.444

Abstract

This study aims to measure and analyze the productivity level of water-based paint production at PT Pabrik Cat Tunggal Djaja Indah using the Objective Matrix (OMAX), Analytical Hierarchy Process (AHP), and Root Cause Analysis (RCA) methods. The research problem is based on the failure to achieve the water-based paint production target in several months during the period from July to December 2025. The OMAX method was used to measure productivity based on seven ratios, namely raw material utilization, working hours, production effectiveness, product quality, machine operating time, labor, and electrical energy. AHP was used to determine the priority weight of each criterion, while RCA through a Fishbone Diagram was used to identify the root causes of low productivity. The results showed that production productivity fluctuated, with the highest value recorded in September at 5.4559 and the lowest value recorded in July at 1.9783. Factors affecting low productivity included inefficient raw material utilization, machine downtime, defective products, suboptimal labor utilization, and unstable electrical energy consumption. The proposed improvements include raw material supervision, implementation of preventive maintenance, improvement of operator skills, production quality control, SOP evaluation, and optimization of electrical energy use. The findings of this study are expected to serve as a basis for continuous improvement in water-based paint production productivity.

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