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All Journal Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora TEKMAPRO Journal of Industrial Engineering and Management PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri JURNAL REKAYASA SISTEM INDUSTRI Tibuana : Journal of Applied Industrial Engineering Jurnal Penamas Adi Buana Wahana : Tridarma Perguruan Tinggi WAKTU: Jurnal Teknik UNIPA Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Scientia Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Profisiensi : Jurnal Program Studi Teknik Industri Jurnal Sains dan Aplikasi Keilmuan Teknik Industri Jurnal Kawistara
Prihono
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Humanities 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Digital Pivot Strategies for MSMEs: A Case Study of BirkinPet in the Era of Economic Uncertainty Zafriana, Lusi; Prihono; Nasution, Anita Hakim
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9989.60-69

Abstract

Amid economic uncertainty, adopting digital pivot strategies has become crucial, particularly for Micro, Small, and Medium Enterprises (MSMEs) to sustain business growth. Social media marketing, as a vital component of the digital pivot, offers a platform for entrepreneurs to reach audiences more efficiently and effectively. This study aims to explore the correlation between social media metrics and the monthly revenue of MSMEs, focusing on BirkinPet, a pet harness apparel business. A multiple linear regression analysis method was employed to evaluate the relationship between the number of posts, likes, followers, shares, and engagement rate with monthly revenue. The analysis results indicate that the number of posts has a significant negative relationship with monthly revenue (β = -1.1224; p = 0.051), while likes, shares, followers, and engagement rate showed no significant relationship. These findings highlight the importance of a more focused and relevant content strategy in social media marketing to support business revenue growth. In conclusion, while social media holds substantial potential as a marketing tool, success is not entirely dependent on the quantity of activity. A data-driven strategic approach is a key factor in converting social media activities into revenue growth, warranting further exploration to identify the most effective optimization strategies.
Implementation of Age Replacement Method for Molding Machine Maintenance at PT. KMI Yudhanto, Djovanka Arya Putra; Febryanto, Indra Dwi; Prihono
Tibuana Vol 8 No 2 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.2.10530

Abstract

The rapid development of the industrial world has caused the manufacturing industry to think hard to survive the fierce competition. PT. KMI is a company engaged in industrial furniture, oriented to the best quality in its products and supported by sophisticated technology in the production process. The problem that occurs is unexpected machine damage causing the production process to stop. The way to overcome this is to schedule the replacement of components that are susceptible to damage, especially sensors, bearings and roller trans. Determination of critical components using the ABC method and the age replacement method. The selection of damage distribution, at this stage is based on the goodness of fit value. One way to increase productivity is to schedule the replacement of components that are susceptible to damage, especially sensors, bearings and roller trans. The recommended replacement time is 128 days for sensors with a cost reduction of IDR 1.848.097 for replacement of sensor components, 261 days for bearing components with a cost reduction of IDR 1.301.553 and 251 days for roller trans components with a cost reduction of IDR 1.646.870. by using the ABC method, 3 critical components can be found, namely sensors and bearings with a percentage value of 42.80% for sensors, 20.95% for bearings, and 14.03% for Roller trans. The most optimal time interval for the three components is the sensor component 128 days with downtime cost savings of IDR 1.848.097. The bearing component 261 days with downtime cost savings of IDR 1.301.553. The roller trans component 251 days with downtime cost savings of IDR 1.646.870.
Productivity Improvement Knuckle Steering Production Line through the Objective Matrix (OMAX) Method Mukhtar, M Nushron Ali; Prihono; Hermawan, Moch Amaludin
Tibuana Vol 9 No 1 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.1.11108

Abstract

In the face of market dynamics and increasing demand, the company needs to optimise productivity in every production line, including the knuckle steering item line. This study aims to measure and evaluate productivity using the Objective Matrix (OMAX) method, which integrates several key performance ratios. The analysis results showed that the highest productivity occurred in March 2024 (517.2), while the lowest was in September 2024 (23.6). The lowest ratio was production achievement to machine capacity, contributing only 27 out of a total score of 131. The low productivity is due to the lack of operator competence, suboptimal machine maintenance, long process duration, and the high amount of defective material from the foundry process. These findings emphasise the importance of comprehensive improvements in human resources, machine maintenance, and raw material quality control to drive sustainable productivity improvements.
Optimization of Production Processes in Micro, Small and Medium Metal Enterprises (SMEs Metal) using Fuzzy-Kano, QFD and SPC Methods: a Systematic Literature Review Prihono; Febryanto, Indra Dwi; Utomo, Yitno
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11607

Abstract

Micro, Small, and Medium Enterprises (MSMEs), particularly in the metal industry, play a pivotal role in Indonesia’s economic development but face significant challenges in maintaining product quality, reducing defects, and responding to customer needs. This study conducts a Systematic Literature Review (SLR) to investigate the integration of Fuzzy-Kano, Quality Function Deployment (QFD), and Statistical Process Control (SPC) methods as a comprehensive approach for optimizing production processes in metal MSMEs. The literature was sourced from databases such as Scopus, Crossref, and Google Scholar, yielding 562 records, of which 35 relevant journal articles were analyzed in depth. Findings reveal that while QFD and SPC are frequently applied separately in MSMEs, research integrating these methods with Fuzzy-Kano remains limited. The review highlights that such integration offers substantial potential to improve product quality, align production with customer satisfaction, and enhance decision-making under uncertainty—ultimately supporting sustainable competitiveness. This study also identifies research gaps and proposes future directions, including the development of localized models tailored to SME contexts and the deeper integration of SPC within customer-oriented product development frameworks.
Kelayakan Bisnis Mesin Combine Harvester Rice di Kelompok Tani Sido Mukti di Desa Luwung Putri Valentina Wardiarsana; Prihono Prihono
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61602

Abstract

The agricultural sector in Indonesia faces challenges such as labor shortages, increasing harvesting costs, and the need for improved efficiency, making the use of modern harvesting technology like Combine Harvester Rice machines increasingly important. This study aims to analyze the business feasibility of Combine Harvester Rice machines in the Sido Mukti Farmer Group in Luwung Village based on Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Profitability Index (PI). The research employed a descriptive quantitative method with a case study approach, and data were collected through observation, interviews, questionnaires, and documentation involving 43 respondents. The analyzed data include initial investment costs of Rp545,000,000 for the Bimo 110 Plus and Rp499,000,000 for the Bimo 102 SS, operational costs of approximately Rp1,742,000 per hectare, rental rates of approximately Rp2,450,000 per hectare, maintenance costs of approximately Rp7,500,000 per year, an interest rate of 10%–12%, and an economic life of 8 years.     The results show that the Bimo 110 Plus machine is not financially feasible, with an NPV of Rp -11,507,380, PP of 5.45 years, PI of 0.98, and IRR of 9.6%. In contrast, the Bimo 102 SS machine is financially feasible, with an NPV of Rp34,492,620, PP of 5 years, PI of 1.07, and IRR of 12%. Therefore, the Bimo 102 SS is more recommended for use as it provides better economic value for the farmer group.
Co-Authors A Afni Adi Rifqi Afni, A Anita Hakim Nasution Antonius Cahyono Bebyta Putri Hendriyanti berlianto, rahmat Bramianto Setiawan Budipramana, Krisyanti Cahyono, Antonius Djoko Adi Walujo dwi febryanto, Indra Febrianto, Indra Dwi Febrin Auliau Rohman Febryanto, Indra Dwi Hendriyanti, Bebyta Putri Hermawan, Moch Amaludin Hery Murnawan, Hery Ida Bagus Putra Astika Ida Kusnawati Tjahjani Indra Dwi Febryanto K. Budiartha Lusi Zafriana M. Nushron Ali Mukhtar Mayangsari, Adhindha Putri Migrihani, Resdwyatma Muhamad Abdul Jumali Putra, Aldi Alif Putra, Pratama Mardiansyah Putri Valentina Wardiarsana Resdwyatma Migrihani Rezza Agung Fahlevi Rifqi, Adi Rohmadiani, Linda Dwi Rosyidin, Muhammad Fikrir Rusdiyantoro Rusdiyantoro Rusdiyantoro, Rusdiyantoro Subandowo, Marianus Suning, Suning Vidita Priyo Pamungkas Yanatra Budi Pramana Yitno Utomo Yudhanto, Djovanka Arya Putra Yunia Dwie Nurchayanie Zafriana, Luzi