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SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi
Published by Universitas Sarjanawiyata Tamansiswa
ISSN : 24606286     EISSN : 25793624     DOI : 10.30738/science tech.v2i1.396
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Engineering Materials Science & Nanotechnology
Jurnal SCIENCE TECH adalah jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Sarjanawiyata Tamansiswa (UST) Yogyakarta. Jurnal ini diharapkan sebagai media bagi dosen, peneliti, praktisi, mahasiswa dan masyarakat luas yang memiliki perhatian terhadap bidang dan perkembangan ilnu pengetahuan dan teknologi. Jurnal SCIENCE TECH terbit dua kali setahun yaitu Januari dan Agustus, setiap terbit 8 artikel.
Arjuna Subject : Umum - Umum
Articles 4 Documents
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Search results for , issue "Vol 12 No 1 (2026): February" : 4 Documents clear
Optimalisasi Pemeliharaan untuk Meningkatkan Avaibiliity pada Crane Barge Offshore Faisal Rahman
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 12 No 1 (2026): February
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol12.no1.a20573

Abstract

The effectiveness of the maintenance strategy highly influences the availability of the crane barge offshore system. This study aims to quantitatively optimize the availability of the crane barge offshore system by identifying failure patterns, determining critical subsystems that contribute most to downtime, and formulating an optimal maintenance strategy through the integration of Reliability-Centered Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), and Pareto analysis combined with probabilistic distribution approaches. Data were obtained from 14 failure events over six months, covering time between failures (TBF) and time to repair (TTR). The analysis revealed that the Hydraulic System and Running Gear subsystems are the dominant contributors to downtime. The Weibull distribution was selected to model the failures, yielding a Mean Time Between Failures (MTBF) of 267.53 hours and a Mean Time to Repair (MTTR) of 7.19 hours. Simulation results showed that system availability could reach 97.66% with maintenance based on optimal time intervals. Dynamic reliability calculations demonstrated significant differences compared to conventional average-based methods, highlighting the importance of statistical approaches in determining preventive maintenance intervals. This approach provides a quantitative foundation for developing adaptive, proactive, and data-driven maintenance strategies, with broad potential applications for similar industrial equipment.
Pengaruh Limbah Plastik LDPE terhadap Karakteristik Lapisan Pengikat Beton Aspal (AC-BC) Gutama, Detha Sekar Langit Wahyu; Sulistyorini, Dewi; Galuh, Dimas Langga Chandra; Gorang, Syaifullah M.
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 12 No 1 (2026): February
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol12.no1.a19193

Abstract

The increasing volume of plastic waste, particularly Low-Density Polyethylene (LDPE), has become a significant environmental challenge. In the context of sustainable infrastructure development, the utilization of LDPE waste as an additive in asphalt mixtures presents a potential solution. This study aims to evaluate the effect of LDPE addition on the Marshall characteristics of Asphalt Concrete-Binder Course (AC-BC) mixtures. An experimental method was conducted in the laboratory using LDPE content variations of 1.5%, 3%, 4.5%, 6%, and 7.5% by weight of asphalt, with a constant asphalt content of 5.5%. The tests included parameters such as bulk density, Voids in Mineral Aggregate (VMA), Voids in Mix (VIM), Voids Filled with Bitumen (VFB), stability, flow, and Marshall Quotient (MQ), following the Bina Marga 2018 Revision 2 standards. The results indicated that the addition of LDPE affected all Marshall characteristic parameters. At 1.5% LDPE content, the values obtained were a bulk density of 2.379 gr/cc, VMA of 15.49%, VIM of 4.15%, VFB of 77.28%, the highest stability of 1993 kg, flow of 3.07 mm, and a MQ of 650 kg/mm. LDPE content between 3% and 6% showed an increasing trend in VMA from 15.49% to 15.64% and in VIM from 4.15% to 4.32%, while VFB decreased to 72.38% at 6%. Flow values decreased from 3.27 mm at 3% LDPE to 2.67 mm at 7.5%. All parameters remained within the limits set by Bina Marga 2018 Revision 2 standards. This study demonstrates that LDPE can be utilized as an additive material in AC-BC mixtures, as it is capable of maintaining Marshall characteristics within the required technical standards.
Perancangan Strategi Digital Marketing untuk Meningkatkan Konsumen pada Home Industry Batik Nurari Bellanov, Agrienta; Nurhayati, Lilis
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 12 No 1 (2026): February
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol12.no1.a20619

Abstract

The batik industry is a creative sector that contributes significantly to Indonesia’s economy through job creation and cultural preservation. Home Industry Batik Nurari, established in 2000 in Sidoarjo, produces various batik products, including hand-drawn batik fabrics, batik dresses, and uniforms. In response to digital transformation, Batik Nurari has utilized online marketplaces such as Shopee and Tokopedia since 2018. However, its online sales performance remains relatively low compared to similar competitors, mainly due to limited account activity, underutilization of marketplace features, and the absence of a structured digital marketing strategy. This study aims to design a systematic digital marketing strategy for a batik home industry with passive marketplace performance using the SOSTAC framework supported by quantitative SWOT analysis. The scientific contribution of this research lies in the contextual application of the SOSTAC model to a small-scale batik home industry with limited digital resources, a context that has received limited attention in previous studies. The results indicate that internal factors (strengths and weaknesses) achieve a total score of 3.30, while external factors (opportunities and threats) obtain a higher score of 3.80, demonstrating the dominant influence of external conditions on business performance. These findings suggest that digital marketing strategies should prioritize leveraging external market opportunities to enhance competitiveness and business sustainability.
Simulasi Sistem Produksi Robochop Dasar dengan ARENA: Alternatif Skenario Pengembangan Purba, Lasman Parulian; Irawati, Desrina Yusi; Wulandari, Lusi Mei Cahya
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 12 No 1 (2026): February
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol12.no1.a21785

Abstract

The research gap that this study aims to fill is: increasing the reliability of the previously created simulation model and adopting a representation of uncertainty in the Basic Robochop production process time. This study analyzes the production process time of one basic Robochop unit using ARENA software-based simulation. The Basic Robochop (seven units) is modeled using an activity cycle diagram representing the arrival of its components based on historical data. The model then integrates the components into the production process until completion. The time between the arrival of 50 components of one Basic Robochop product is modeled with a random EXPO(1) minute, the 50 components are then assembled in the Basic Robochop production process which is modeled based on historical data of the previous manufacture of 7 Robochops with one worker, namely 129 + EXPO(1,380) minutes. The model produces a square error value of around 3%. The optimal number of replications obtained was 1,833, after five initial replications were carried out randomly. The simulation results show a decrease in process time from 24,670 minutes to 1,096 minutes in the alternative scenario.

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