cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sugeng Santoso
Contact Email
sugeng.santoso@mercubuana.ac.id
Phone
+628127537020
Journal Mail Official
sitekin@uin-suska.ac.id
Editorial Address
FAKULTAS SAINS DAN TEKNOLOGI UIN SULTAN SYARIF KASIM RIAU Kampus Raja Ali Haji Gedung Fakultas Sains & Teknologi UIN Suska Riau Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Location
Kab. kampar,
Riau
INDONESIA
SITEKIN: Jurnal Sains, Teknologi dan Industri
Published by Universitas Islam Negeri Sultan Syarif Kasim Riau
ISSN : 24070939     EISSN : 27212041     DOI : https://doi.org/10.24014/sitekin.v18i1.12062
Core Subject : Economy, Science, Education, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other
Sesuai dengan standard ISO 45001 bahwa karyawan harus berpartisipasi dalam melakukan pencegahan kecelakaan. Untuk itu perusahaan telah menetapkan Program Hazob (Hazard Observation) untuk mengidentifikasi bahaya dan melakukan tindakan koreksinya. Penerapan Program Hazob masih dengan metode konvensional, mengisi lembar form, sehingga tidak efektif, efisien dan tidak berintegrasi dengan sistem lain. Transformasi digitalisasi diperlukan dengan merubah bisnis proses pelaporan dari konvensional ke aplikasi website atau mobile Apps. Hasil dari penelitian ini terjadi peningkatan kinerja operasional keselamatan kerja dengan program Hazob (i) pengisian form secara manual bertransformasi ke system digitalisasi aplikasi website dan mobile Apps; (ii) leading indikator pelaporan hazob meningkat menjadi 1.364 dari seluruh lokasi. Ini bermakna, bahwa perusahaan telah mengidentifikasi bahaya sejumlah tersebut dalam kuran waktu 3 bulan, dan melakukan tindakan koreksi sebelum terjadi kecelakakan. Data persentasi kontribusi menunjukan bahwa semua pihak bagian di perusahaan berkontribusi untuk melakukan pelaporan hazob. Hal ini menunjukan komitmen semua tingkatan untuk melakukan pecegahan kecelakaan. Angka terbesar pada tingkatan karywan ( 63 %) berkontribusi ; (iii) dampak implementasi berupa tingkat penurunan angka kecelakaan dengan Lagging Indikator sebagai berikut : LTIR = 0 (Nol), TRIR, yang sebelumnya 0.87 di bulan juni, turun menjadi 0 (nol) dari bulan Juli sampai September 2020, dan IFT, turun terus setiap bulan dan di bulan September di angka 12.33.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen
Articles 20 Documents
 1   2 
Search results for , issue "Vol 23, No 1 (2025): December 2025" : 20 Documents clear
Analysis of Labor Productivity Using Marvin E. Mundel’s Partial Productivity Measurement Method in Ammonia Production at PT. X Siagian, Nabila Prita Rizqika; Safariyani, Eva; Suherman, Rizkia Lucyani
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38419

Abstract

To maintain competitiveness and efficiency in the chemical manufacturing industry, particularly in large-scale continuous ammonia production, optimal labor management is essential. This study analyzes labor productivity in the ammonia production process at PT , specifically in the Ammonia 1A production unit, using the partial productivity measurement method. The primary objective is to measure the contribution of labor to production output and identify the factors that cause productivity fluctuations. The method employed compares ammonia output with labor input for the period of January to December 2024. In addition, downtime analysis and a fishbone diagram were utilized to evaluate the root causes of productivity decline. The results indicate significant fluctuations in labor productivity, with the highest value recorded in November (775.8 tons/person) and the lowest in September (412.79 tons/person). The decrease in productivity is attributed to labor shortages, equipment failures, and suboptimal work procedures. The average productivity index during the observation period was 97.17%, reflecting a decline compared to the base month. These findings provide a foundation for strategic recommendations to improve workforce management and enhance operational efficiency
Vote Detection on Ballots Using Thresholding and Centroid Detection Techniques Qadriah, Lailatul; Hamid, Nur
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38937

Abstract

General elections are an agenda carried out to elect and determine leaders in each region. One of the important stages in the general election process is the vote-counting stage. This study aims to implement several digital image processing methods. Digital image processing plays an important role in the automatic reading of ballot papers to increase the speed of the vote-counting process. In this study, the process of reading ballot images was conducted to produce numerical data based on the coordinates of specific parts of the image. Image processing was performed using GNU Octave software, which is simple yet effective in detecting votes on ballot papers and converting them into numerical data based on centroid coordinates. This method has advantages in terms of implementation simplicity and computational efficiency. The main stages of this study include image conversion to grayscale, thresholding, black pixel detection, segmentation, centroid coordinate detection of punched ballot marks, and conversion into numerical form. In this study, 47 ballot image samples were used. The results of this study show that this method can achieve an accuracy rate of 78.7%.
The Effect of Variations in Fuel RON 92, RON 95 and RON 98 on Engine Performance with a Compression Ratio of 12.7:1 Sulistyanto, Amin; Eka, Nanda; Herlambang, Erico Stefani
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38334

Abstract

This study aims to analyze the effect of using fuels with different octane ratings (RON 92, RON 95, and RON 98) on the performance of a 206 cc four-stroke gasoline engine with a compression ratio of 12.7:1. The benefits of this study are to provide technical references for vehicle owners, repair shops, and automotive manufacturers in selecting fuel that matches the engine's compression ratio, as well as to raise awareness of the importance of using high-quality fuel to maintain the performance, efficiency, and durability of modern vehicle engines. Testing was conducted using a dyno test method to measure power, torque, and specific fuel consumption (SFC) at various engine speeds. The test data were analyzed using a quantitative descriptive method, comparing engine performance parameters with each type of fuel. The test results showed that high-octane fuel, such as Pertamax Turbo (RON 98), produced the best performance, characterized by maximum power, highest torque, and optimal fuel efficiency. Conversely, the use of low-octane fuel caused knocking, incomplete combustion, and increased the risk of deposit formation and corrosion due to its higher sulfur content
Bibliometric Analysis and Data Visualization: Life Cycle Assessment in Waste Management in the Textile Industry Febian, Tiara; Mansur, Agus
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38129

Abstract

This study aims to analyze the development of literature on the application of Life Cycle Assessment (LCA) in textile waste management through a bibliometric approach using the Scopus database for the period 2013–2024. The analysis employed VOSviewer to map publication trends, keywords, citations, and authorship collaborations. The findings reveal a significant increase in the number of publications since 2014, peaking at 298 in 2024 before declining to 138 in 2025. Publication distribution is dominated by the journal Sustainability (Switzerland) with 106 articles, followed by Polymers and Materials. The most cited article received 650 citations, focusing on the impacts of COVID-19 on the global economy and opportunities for circular economy strategies. Thematically, research shifted from conceptual studies (2010–2015) toward technical solutions such as fiber recycling, microplastic pollution, and nanomaterials (2016–2020), then advanced to circular fashion, eco-design, and sustainable material innovations (2021–2025). Future trends (2026–2030) are projected to emphasize the digitalization of LCA through AI, big data, blockchain, and textile industry decarbonization strategies. This study offers both theoretical and practical contributions by enriching sustainability literature and serving as a strategic reference for policy development and the implementation of environmentally sustainable practices in the textile industry. Keywords: Bibliometrics, Circular Economy, Textile Industry, Life Cycle Assessment (LCA), Sustainability
A Predictive Model for Unplanned Well Down in Heavy Oil Operations to Support Operational Decision-Making Saputra, Aryo; ER, Mahendrawathi
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38613

Abstract

The decline in Heavy Oil (HO) production at PT XYZ is strongly influenced by unplanned well down events, which generate significant Loss Production Opportunity (LPO) and disrupt the achievement of production targets. This study aims to develop and compare two time series forecasting methods, ARIMA and Holt‑Winters Exponential Smoothing (HWES), to predict future well down incidents caused by Mechanical Pumping Unit (MPU) failures. Model accuracy was evaluated using the Mean Absolute Percentage Error (MAPE), and the Seasonal ARIMA (2,2,1) Model was identified as the most accurate, achieving a MAPE value of 4.56 percent, significantly outperforming both HWES variants, which produced much higher errors (highest MAPE 27.37 percent). Using this model, the estimated financial loss in the Base Case scenario is projected at Rp 13.35 billion per year, with the worst sase scenario potentially reaching Rp 41.80 billion. The forecasting results provide substantial managerial value by supporting informed operational decision‑making. Three key strategic implications are obtained. First, financial risk control can be strengthened by using the Upper Bound 95 percent as a basis for justifying MPU upgrade budgets. Second, production target planning becomes more realistic by incorporating predicted LPO values. Third, integrating LPO‑based thresholds into KPI monitoring establishes an early warning system that shifts operational control from reactive to anticipatory.
Leveraging the Situational Analysis, Objectives, Strategy, Tactics, Action, and Control (SOSTAC) Framework to Craft Compelling Digital Marketing Strategies for Boutique X in Bandung, West Java Marpaung, Aidama Nikku Inamie; Talar, Yulianti
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38346

Abstract

The growing interest in online platforms presents a significant opportunity for MSMEs like Boutique X, a clothing store in Bandung, West Java. However, the owners' lack of digital experience limits their ability to effectively manage these platforms. This study aims to enhance consumer purchasing interest using the SOSTAC framework. We conducted an internal analysis of the store's Digital Marketing Capabilities (DMC) and an external analysis using PESTEL and Porter’s Five Forces. A questionnaire was developed to evaluate the significance of each DMC factor in influencing consumer purchasing interest, with 103 respondents providing feedback. This input, along with SMART principles, helped establish five marketing objectives. To meet these objectives, we developed a digital marketing strategy based on the RACE framework, incorporating content marketing, influencer marketing, video marketing, SEO, cross-platform marketing, User-Generated Content (UGC), and paid advertising. Proposed tactics include collaborating with influencers, diversifying content, promoting the Shopee platform, enhancing SEO, and encouraging UGC. These tactics are organized into actionable plans with daily, weekly, monthly, and quarterly schedules, alongside key performance indicators (KPIs) for monitoring progress. The goal is to improve digital marketing effectiveness and boost consumer purchasing interest at Boutique X.
Water Quality Control at the Tirta Tarum Regional Drinking Water Public Company to Improve Services to the Community Trisna Mukti, Aditya; Nindiani, Aina; Roban, Roban
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38749

Abstract

Water is a fundamental necessity for human life, and access to clean water is essential. Drinking water must meet health standards to be safe for consumption, while clean water is used for daily needs and can be consumed if boiled. However, consumer complaints regarding water quality remain a concern. Data collected over a three-month period indicated that the average turbidity level of clean water was 2.4 NTU. This study aims to control water quality using the Taguchi method. The key objective is to evaluate whether the water quality complies with established standards and regulatory requirements. Water quality that meets these standards is expected to enhance customer satisfaction. By applying the Taguchi experimental design, the results demonstrated a turbidity level of 1.4 NTU and a pH level of 7.3, both of which comply with the Ministry of Health Regulation No. 2 of 2023. The findings suggest that implementing quality control through the Taguchi method can effectively monitor and regulate water quality, thereby improving water services provided to the community.
Analysis of Packaging Machine at PT. Dunia Kimia Jaya Gresik Using Overall Equipment Effectiveness and Fault Tree Analysis Farich Maulana, Muhammad; Jufriyanto, Mohammad
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38264

Abstract

This study evaluates the effectiveness of a Sodium Metabisulfite (SMBS) packaging machine at PT. DKJ using Overall Equipment Effectiveness (OEE) and Fault Tree Analysis (FTA). OEE was employed to assess machine performance through availability, performance, and quality indicators, while the Six Big Losses framework was used to identify major sources of productivity loss. Furthermore, FTA was applied to determine the root causes of dominant losses affecting machine effectiveness. The study utilized production data, direct observations, interviews, and company records collected from December 2024 to May 2025. The results indicate that the average OEE value of the packaging machine was 63.26%, significantly below the international benchmark of 85%, with low availability and performance as the primary contributors. Six Big Losses analysis revealed that breakdown losses and setup and adjustment losses were the most dominant factors. FTA identified component failure, inadequate preventive maintenance, operator-related errors, and complex setup procedures as the main root causes. This study proposes structured preventive maintenance, operator training, standardized operating procedures, and improved production–material coordination to enhance machine effectiveness and ensure sustainable production performance.
Application of the Internet of Things in Controlling the Water Content Quality of Honey Purba, Arini Anestesia; Isabella, Mayati; Kumalaningrum, Amalia Nur; Aqilasyam, Rafa Ahza; Alfian, Ricky; Imran, Ali; Zanuar F, Naufal; Adi F, M. Akbar; Sianipar, Rimma
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38511

Abstract

Agriculture is one of the key aspects of a nation’s survival. In support of the Astacita Program of the President and Vice President of the Republic of Indonesia, which aims for food self-sufficiency, this research focuses on the topic of food security. In practice, food security faces several challenges, such as production that does not meet quality standards and very low productivity levels. One example is the cultivation of Kalimantan honey bees. Honey is one of Kalimantan’s natural resources that is highly beneficial for enhancing the human immune system. According to the Indonesian National Standard (SNI) 8664:2018, the acceptable water content in honey should be less than 22%. However, in reality, the water content in honey often exceeds 22%, reaching up to 27%. The purpose of this research is to reduce the water content in honey so that its shelf life can be extended to six months, making it suitable for export. This study employs an Internet of Things (IoT) approach, involving the stages of planning, analysis, design, implementation, testing, and evaluation. The research produced a device capable of reducing the water content of  Trigona honey (27%) to meet SNI standards within 5 hours, Cerana honey (43%) within 7 hours, and Dorsata honey (30%) within 9 hours. The use of this device proved effective in lowering honey’s water content to below 22%, in compliance with SNI standards, which means the honey becomes more durable, marketable, and exportable. This research is expected to contribute to strengthening food security in the city of Balikpapan. 
Temporal Pattern Intelligence: A Recurrent Neural Framework for Enhanced Financial Forecasting Firmanto, Bayu
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38342

Abstract

Accurate forecasting of financial time series remains a complex challenge due to asset price behaviour's non-stationary, nonlinear, and cyclical nature. While Long Short-Term Memory (LSTM) networks have shown promise in modeling sequential dependencies, they often struggle to capture periodic structures inherent in financial data. This study proposes a hybrid forecasting framework that integrates temporal pattern recognition techniques—specifically seasonal decomposition, wavelet transforms, and moving averages—into a recurrent neural architecture to improve predictive performance in cyclical markets. Using historical data from five representative financial instruments, the hybrid model enriches the LSTM input space with statistically significant temporal features, thereby enabling more comprehensive learning of both long-term dependencies and structural temporal patterns. Empirical results demonstrate that the proposed model significantly outperforms traditional LSTM baselines in terms of Root Mean Squared Error (RMSE), particularly in assets exhibiting strong cyclical behavior. The residual component from seasonal decomposition emerges as the most influential feature, reinforcing the importance of capturing irregular deviations in financial forecasting. This research contributes a structured and generalizable approach to combining temporal pattern recognition with deep learning, offering improved accuracy and interpretability for practitioners and researchers in computational finance 

Page 1 of 2 | Total Record : 20

 1   2 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 23, No 1 (2025): December 2025 Vol 22, No 2 (2025): June 2025 Vol 22, No 1 (2024): December 2024 Vol 21, No 2 (2024): June 2024 Vol 21, No 1 (2023): December 2023 Vol 20, No 2 (2023): June 2023 Vol 20, No 1 (2022): Desember 2022 Vol 19, No 2 (2022): Juni 2022 Vol 19, No 1 (2021): Desember 2021 Vol 18, No 2 (2021): Juni 2021 Vol 18, No 1 (2020): Desember 2020 Vol 17, No 2 (2020): Juni 2020 Vol 17, No 1 (2019): DESEMBER 2019 Vol 16, No 2 (2019): JUNI 2019 Vol 16, No 1 (2018): DESEMBER 2018 Vol 15, No 2 (2018): JUNI 2018 Vol 15, No 1 (2017): DESEMBER 2017 Vol 14, No 2 (2017): JUNI 2017 Vol 14, No 1 (2016): Desember 2016 Vol 13, No 2 (2016): JUNI 2016 Vol 13, No 1 (2015): Desember 2015 Vol 12, No 2 (2015): Juni 2015 Vol 12, No 1 (2014): Desember 2014 Vol 11, No 2 (2014): Juni 2014 Vol 11, No 1 (2013): Desember 2013 Vol 10, No 2 (2013): Juni 2013 Vol 10, No 1 (2012): Desember 2012 Vol 9, No 2 (2012): Juni 2012 Vol 9, No 1 (2011): Desember 2011 Vol 8, No 2 (2011): Juni 2011 More Issue