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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 153 Documents
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Design Thinking Sistem Agribisnis dengan Tinjauan dari Sisi Empathize dan Define Widhianti, Yulia
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 11 No 1 (2025): Februari
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol11.no1.a19205

Abstract

The agricultural system consists of three main elements: farmers as producers, the supply chain, and consumers, all of which are interdependent. The main challenges in the agribusiness system include supply chain instability, climate change, technological limitations at the farmer level, and information asymmetry between producers, distributors, and consumers. These issues often lead to inefficiencies, resource wastage, and low farmer welfare. Disruptions in one element impact the entire system. The Design Thinking approach is needed in the agribusiness system as it offers innovative solutions based on user needs. This study discusses the Design Thinking concept in the Empathize and Define stages to identify information and explore ideas in designing more effective agribusiness strategies. This approach serves as the foundation for developing the Concurrent Engineering (CE) model, which plays a role in strategic decision-making processes in the agribusiness sector, with a primary focus on agricultural production aspects. The analysis is conducted using the Empathize and Define stages of the Design Thinking method. The study results show that applying the CE concept in agribusiness strategy decision-making, such as crop pattern arrangements and stakeholder coordination, can provide optimal solutions for both farmers and consumers.
Optimalisasi Pemeliharaan untuk Meningkatkan Avaibiliity pada Crane Barge Offshore Rahman, Faisal
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.
Pengaruh Variasi Ketinggian Chamber pada Proses Gas Atomisasi dengan Nozel 45° terhadap Distribusi Ukuran Serbuk ADC12 Pawawoi, Pawawoi; Rafiq, Ressy Noor; Karmiati, Besse Titing; Dhiya'ulhaq, Naufal; Julanov, Sabrina Maharani
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.a20631

Abstract

The gas atomization process is widely used to produce aluminum alloy powder with controlled particle size distribution and morphology. This study aims to analyze the effect of variations in the height of the atomization chamber (80 cm, 120 cm, and 160 cm) in the gas atomization process using a fixed nozzle at a 45° angle on the size distribution of ADC12 powder. ADC12 alloy was melted at 750 °C, then atomized using compressed air at a pressure of 8 bar and argon gas at a pressure of 20 bar. The results showed that variations in the height of the atomization chamber affected the powder production efficiency and particle size distribution. The powder production efficiency was in the range of 76.72%–98.95%, with the highest value at a height of 80 cm. Changes in the height of the atomization chamber affected the droplet flight time and solidification behavior, resulting in differences in particle size distribution. The fraction of powder <100 µm was only 0.99%, indicating the limitation of fine particle formation under the process conditions used. Morphological analysis using SEM showed spherical, tear drop, rounded, dan irregular shaped particles, with the dominant spherical particles in the size range of 60.7–95.3 µm. These results confirm that the height of the atomization chamber plays an important role in controlling the dynamics of fragmentation and solidification of droplets during the ADC12 gas atomization process with a 45° nozzle.
Analisis Pengaruh Work-Life Balance dan Hybrid System terhadap Produktivitas Kerja Juniarti, Jeah Yespy; Pasmawati, Yanti; Hardini, Septa; Makmuri, M. Kumroni
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.a20667

Abstract

This study aims to analyze the effect of work-life balance and hybrid systems on employee work productivity. The background of this research is based on the phenomenon of changes in work systems after the pandemic and the increasing need for work-life balance. A quantitative approach was employed using a survey method involving 228 respondents working under a hybrid system. Data were collected through Likert-scale questionnaires and analyzed using multiple linear regression. The results indicate that work-life balance and the hybrid system have a significant effect both partially and simultaneously on work productivity. The t-test results show significant values for both variables (X1 and X2), while the F-test demonstrates a strong simultaneous influence on the dependent variable. The coefficient of determination (R²) value of 0.453 indicates that 45.3% of the variability in work productivity can be explained by these two variables. The study concludes that implementing good work-life balance and a flexible hybrid system can enhance employee work effectiveness and efficiency. These findings are expected to serve as input for companies in formulating work policies that support sustainable well-being and productivity.
Integrasi SERVQUAL, Kaizen, dan Time Study dalam Evaluasi Lean Management untuk Peningkatan Kinerja Layanan Mahasiswa Arimbi, Puri Sastia; Pasmawati, Yanti; Hardini, Septa; Anwar, Andries
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.a20699

Abstract

This study aims to evaluate the implementation of Lean Management in improving service performance at the Student Service Center of Universitas Bina Darma. The service problems include long waiting times, queue congestion, and the absence of clear task distribution among staff, which potentially leads to process waste and reduced service quality. The study employed a descriptive quantitative approach integrating three methods: SERVQUAL to measure student satisfaction (363 respondents), Kaizen to assess employee performance (5 staff members), and time study to analyze process efficiency and waste. Data were analyzed using satisfaction gap calculation, performance indicator assessment, standard time measurement, and classification of value-added and non-value-added activities. The results show that the empathy and assurance dimensions have positive gaps, while responsiveness shows a negative gap indicating low service speed. Standardization and just in time are categorized as high, whereas waste elimination and employee involvement remain low. Although operator capacity is sufficient, the lack of task distribution causes queues and dominant waiting waste as well as non-value-added activities. Therefore, Lean Management improves service performance, but optimization requires workflow restructuring, process digitalization, and increased employee involvement in continuous improvement.
Analisis Efektivitas Customer Relationship Management (CRM) Berbasis Otomatisasi dan Artificial Intelligence Muiz, Choirummansyah; Pasmawati, Yanti; Anwar, Andries; Rizal, Syahril
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.a20718

Abstract

Digital transformation in higher education has accelerated the integration of Customer Relationship Management (CRM) systems with Artificial Intelligence (AI) to enhance service quality and user loyalty. However, empirical studies examining the combined effects of service personalization, response speed, and interaction automation on user loyalty within higher education remain limited. This study aims to analyze the effectiveness of AI-based CRM implementation in the Career Center website of Universitas Bina Darma. A quantitative approach was employed using survey data collected from 215 respondents. Multiple linear regression analysis was conducted to examine the effects of Service Personalization (X1), Response Speed (X2), and Interaction Automation (X3) on User Loyalty (Y). The results indicate that all variables have a positive and significant effect on user loyalty (p < 0.05). Service personalization emerged as the most dominant factor (β = 0.413), followed by interaction automation (β = 0.265) and response speed (β = 0.231). The model demonstrates moderate explanatory power with an R² of 0.267 and an Adjusted R² of 0.257. These findings suggest that in the higher education context, AI-driven personalization and adaptive service delivery play a more critical role in fostering user loyalty than mere technical efficiency. Practically, the study recommends prioritizing data-driven personalization strategies in developing AI-based CRM systems in universities.
Analisis Dinamika Lalu Lintas Menggunakan Model Petri Net Pertiwi, Ruvita Iffahtur; Khasanah, Fitria
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.a20728

Abstract

This study analyzes the dynamics of traffic flow in the heritage area of Malang City using the Petri Net model. In contrast to common Petri Net studies that focus on urban traffic light optimization, this research specifically models the characteristics of a heritage area characterized by physical space constraints and its dual function as a tourist destination. The study focuses on three main observation points with vehicle volume data collection. The Petri Net model was developed to represent the relationships between traffic nodes and simulate traffic behavior under various conditions. The primary scientific contribution of this research lies in the integration of real-time field data with the incidence matrix to identify discrete flow behavior at critical non-signaled point. Simulation results reveal specific peak hours and demonstrate the model’s capability in illustrating traffic flow transitions and potential bottlenecks. These findings provide a technical database for the Malang City Government in designing one-way traffic engineering and parking management within the cultural heritage corridor.

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