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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
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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 25 Documents
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Search results for , issue "Vol 22, No 1 (2024): December 2024" : 25 Documents clear
Development of Mobile Application for Shoe Washing Services based on Android with Kotlin Maulana, Shendy Fachrian; Pramudwiatmoko, Arif
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.33207

Abstract

Businesses in the form of services continue to grow, although many service providers still face challenges in improving operational efficiency and service quality because they still use manual systems to manage orders and customer data, which are often not integrated. This research aims to design and build a mobile-based shoe washing service application with a focus on Pojok Shoescare. This application aims to make it easier for customers to order shoe washing services online and provide convenience for admins in managing customer and order data. A web-based admin dashboard was developed to enable more structured data management. The development method used in application development is Rapid Application Development (RAD) because it is flexible and able to accelerate the development cycle. Results from BlackBox testing show that the application runs optimally and meets user needs related to ease of use and service efficiency. This application is expected to improve the quality of service at Pojok Shoescare and provide a better experience for customers in ordering shoe washing services and supporting business growth in the future. Keywords: Android, Mobile application, Online ordering, Rapid application development, Shoe washing services
Prediction of Anime Rating with Hybrid Artificial Neural Networks and Convolutional Neural Networks Al Kautsar, M. Nurudduja; Anggraini, Violita; Basirun, Arif Reza; Rifai, Achmad Pratama
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.28390

Abstract

This study proposes an innovative approach to predict anime scores by leveraging a combination of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN). Tabular data such as source, number of episodes, type, and genre are incorporated alongside the image representation of anime into a holistic model. Evaluation results on the test set show satisfactory performance, with an average loss value of 0.673, Mean Absolute Error (MAE) of 0.654, and Mean Absolute Percentage Error (MAPE) of 9.44%. Training and validation graphs reflect the model's convergence without significant signs of overfitting or underfitting. The integration of information from both data sources yields a model capable of providing accurate predictions of anime scores, contributing to an understanding of trends and preferences in the anime industry, and opening opportunities for the development of similar models in the field of score prediction or other quality evaluations.
Analysis of Personal Branding Implementation by TikTok Live Hosts on Sadojo Snack Sales Ryandho Akbari, Ashif; Nugraha, Asep Erik; Kusnadi, Kusnadi
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.32690

Abstract

In today's digital era, social media has become a major platform in marketing strategies, and TikTok has emerged as one of the leading platforms used for product promotion. With its live broadcasting feature, TikTok Live offers a unique opportunity for brands to interact directly with their audiences. This study analyzes the influence of personal branding host TikTok Live on Sadojo product sales Snack. Utilizing descriptive qualitative methods, data were collected through in-depth interviews, direct observation, and document analysis of Live streaming sessions. The results showed that strong personal branding from hosts, including authentic self-image, effective communication, and warm interactions, significantly influenced audience purchasing decisions and increased sales. This study highlights the importance of personal branding strategies in building emotional connections with audiences, positively impacting customer loyalty and sales results. Keywords: Personal branding, TikTok Live, product sales.
Detection of Rice Malnutrition Based on Leaf Imagery with the Convolutional Neural Network (CNN) Algorithm Pribadi, Denny; Susilawati, Desi; Mutiara, Erika
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.33199

Abstract

Rice is a plant that has an important role in meeting food needs in Indonesia. However, the growth and production of rice plants can be disrupted by several factors, including environmental conditions and plant health. Malnutrition of rice plants is a serious problem that can reduce crop yields and rice quality. This research aims to explore and identify malnutrition of rice leaves and evaluate its impact on farmers. In this research, researchers used the CNN algorithm as a framework to create a better identification model. Through this research, researchers hope to provide a deeper understanding of malnutrition in rice plants and provide valuable insights for farmers. Researchers also attempt to offer solutions or recommendations that can be implemented to overcome this problem. To solve the problems raised, researchers collected and analyzed data from various sources, including Kaggle. Researchers also researched agricultural offices to gain diverse perspectives on this issue. The research results show that the accuracy level of the identification model is 98.89% and contributes to the general understanding of rice leaf malnutrition. Researchers hope that these findings can encourage further discussion and relevant action in the context of dealing with malnutrition in plants. Researchers realize that every problem has certain limitations and limitations. Therefore, researchers suggest that further research be carried out to deepen understanding and overcome obstacles found during this research.
Evaluation and Design of a Beauty Clinic's Business Model in Bandung Using the Business Model Canvas (BMC) Gumilar, Feyzi Naufal; Hasun, Farda; Rendra, Meldi
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.32725

Abstract

The XYZ Beauty Clinic in Bandung, operating since 2007, has experienced a decline in monthly revenue due to increasing competition, limited marketing, lack of product variety, outdated equipment, insufficiently trained staff, poorly implemented SOPs, and an unappealing room design. A business model evaluation and improvement are conducted using the Business Model Canvas (BMC) framework to address these issues. The process begins with data collection through interviews with business owners, customer interviews to profile customers, and direct observations. The clinic's current business model is analysed using the 7 Questions framework, while a SWOT analysis identifies strengths, weaknesses, opportunities, and threats. Based on this analysis, a new business model is formulated and translated into an updated BMC for XYZ Beauty Clinic. A verification stage ensures the proposed business logic, followed by a financial simulation to assess the feasibility and profitability of the strategies. Improvements include targeting a new market segment, particularly youth, recruiting additional doctors, and enhancing human resource quality through therapist training. The clinic should diversify its services, adding sexually transmitted disease consultations, redesigning spaces and product packaging, and leveraging TikTok and influencer partnerships for marketing. Additionally, technology-based financial management is recommended. The economic simulation predicts an incremental IRR of 65% and an NPV of IDR 111,267,697, assuming a 15% sales increase. Further validation is required to align strategies with consumer needs and ensure long-term success.Keywords: Business Model Canvas, Business Model, XYZ Beauty Clinic
The Effect of Time and Dose from Gamma Irradiation (Cesium-137) on Protein Levels and Meat Color Index of Cork Fish (Channa Striata) Janna, Miftahul; Fuadi, Nurul; Jumardin, Jumardin; Sahara, Sahara; Isradianti, Dwi Febri; Hidayat, Serli Hatul
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.25387

Abstract

The study aimed to determine the effect of time and dose of gamma-ray irradiation on protein levels and storability based on the red color index of cork fish (channa striata). The results showed that the longer the irradiation time and the larger the dose given, the higher the protein level and absorbance value produced. The method used was UV-Vis spectrophotometry to determine protein levels and Image-J software to see the shelf life based on the red colour index. The sample consisted of control, irradiated with irradiation time of 35 minutes (6 mGy), 40 minutes (7 mGy) and 45 minutes (8 mGy) and an irradiation distance of 150 cm. The protein levels at control time, which were recorded at 35, 40, and 45 minutes, were 0.138%, 0.187%, 0.276%, and 0.347%, respectively. These results suggest that there may be a correlation between time and protein levels. Further analysis may be needed to fully understand the implications of these findings. The percentage close to stable on the first day with percentages of 1.54%, 1.66%, 1.76%, 2.50%. Additionally, it seems that a higher dose of irradiation may also result in a higher protein content and absorbance value.Keywords: Cesium-137, Cork Fish, Irradiation, Protein, UV-Vis Spectrophotometer 
Embracing Risk Factors into Product Redesign Model based on DFMA and Concurrent Engineering: A Review for Research Opportunities Setiawan, Tri Andi; Juniani, Anda Iviana; Sarena, Sryang Tera; Purnomo, Dhika A; Ningrum, Pranidiya O
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.32908

Abstract

Product redesign strategies can reduce production costs and shorten design lead times in developing new variants. In the manufacturing design model, identifying the function of components based on customer demand and quality standards becomes vital information for enhancing product reliability, even though design reliability analysis needs to be more frequently addressed. The Design for Manufacturing & Assembly (DFMA) model has been implemented to simplify product structure, reduce risk and manufacturing and assembly costs, and analyze and identify improvement targets. DFMA has evolved into a philosophy for optimizing total production costs from the perspective of assembly, part design, and total life cycle costs. In many studies, the design and development of remanufactured products have been conducted with quality and compliant initiatives. The form and behavior of failure and repair activities obtained during the conceptual design phase have yet to be systematically considered as the basis for product design enhancements. Risk considerations and failure analysis have yet to be utilized as an integrated model during the product redesign phase. This study aims to evaluate the existing DFMA model and develop a new product redesign model and repurposed product with the integration of the Concurrent Engineering (CE)-based Redesign for the Manufacturing & Assembly model by considering reliability and risk factors. Incorporating the model concept is anticipated to contribute to a dependable, efficient design and reduce manufacturing expenses
Revitalization Strategy for Traditional Markets Using Market Basket Analysis (AR-MBA) And Service Quality (SERVQUAL) Approaches Soleh, Muhamad; Hidayati, Nurul; Pamungkas, Tri Dedi
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.32787

Abstract

The rise of modern markets in Purwokerto provides benefits such as diverse shopping options and increased competition in pricing and services. However, this trend negatively impacts traditional markets, which are experiencing a decline in customers. Understanding customer behaviour and needs is essential for enhancing the competitiveness of traditional markets. The AR-MBA method analyses shopping behaviour by identifying frequent item set combinations. The findings from the AR-MBA analysis can inform business strategies, including promotions, market re-layouts, and marketing campaigns aimed at boosting sales in traditional markets. To enhance competitiveness, traditional markets must be revitalised by improving service quality. A Servqual Model analysis will assess the gap between customer expectations and the current state of these markets. This study aims to restore the vital role of traditional markets by enhancing service quality to compete effectively with modern markets. This research is important for policymakers and market managers as it provides insights that can be used to formulate effective strategies to strengthen the competitiveness of traditional markets and ensure local economic sustainability. This strategy enhances customer convenience by positioning frequently purchased items close together based on the Association Rule analysis. It encourages impulse buying, as shoppers are likelier to notice complementary products. Additionally, a sales strategy focused on bundling products can increase perceived value and motivate customers to purchase more items together, ultimately leading to higher sales and a better shopping experience. By maintaining high-performing areas while addressing gaps in service quality, traditional markets can remain strong competitors against modern retail outlets. Keywords: Traditional market, revitalise, AR-MBA, shopping behavior, Market layout, Servqual Model 
Design And Building of A Temperature and Humidity Control System For an Oyster Mushroom Cultivation Room Based on Arduino Mega Akhyar, Lalu Tohirul; Darmawan, Budi; Paniran, Paniran
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.33473

Abstract

Mushrooms are a type of exotic vegetable commodity that has quite high economic value and has great potential for cultivation. Oyster mushrooms are a type of mushroom that is much loved by Indonesian people and are a food source that is popular with people and contains quite high nutrition. The factors that determine mushrooms to grow well are temperature, humidity, CO2 levels and light intensity. This research aims to increase the efficiency of oyster mushroom cultivation by utilizing Arduino Mega technology in the oyster mushroom cultivation room and using a DHT-11 temperature sensor as a temperature and humidity detector in the oyster mushroom cultivation room. cultivation room. The parameters used to test the quality of the DHT-11 sensor are accuracy and normality test. The DHT-11 temperature sensor data is processed on the Arduino Mega and then displayed via LCD in real time. The system test results obtained in this research show that the system can work to control well with temperature values between 26-29°C with humidity 70-90%. From the results of the system test, the mushrooms will grow well.
Implementation of Completely Randomized Design (CRD) using R Software to Evaluate Linear Algebra Learning Systems Pasca the Covid-19 Pandemic Simarmata, Justin Eduardo; Chrisinta, Debora
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
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.v22i1.22226

Abstract

Completely Randomized Design (CRD) is an experimental design that is applied based on treatment control by researchers. In this study, CRD was applied to evaluate the learning system of the Linear Algebra course pasca the Covid-19 pandemic using R Software. The experiment was carried out as many as 2 tests which were categorized as learning group 1 consisting of 28 students and learning group 2 consisting of 29 students. The treatment given is based on the learning system before the Covid-19 pandemic which was carried out face-to-face, during the pandemic which was carried out online and pasca the pandemic which was carried out in a mixed manner (face-to-face and online). The online learning system during the pandemic provides better student learning outcomes than face-to-face or through a blended learning system. However, this must be further evaluated for environmental conditions and learning models so that they can be applied to the learning system pasca the Covid-19 pandemic.

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