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<![CDATA[Porositas Produk Olahan Jahe Merah terhadap Variasi Suhu Evaporasi-Kristalisasi dan Persentase Gula Batu ]]>
<![CDATA[Kurniyanto, Valentinus Enrico]]>;
<![CDATA[Sari*, Dessy Agustina]]>
<![CDATA[ Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v16i2.4548
<![CDATA[Red ginger (Zingiber officinale var. Rubrum) is one of the most popular plants in Indonesia. Generally, the processed product is distributed in the community in the form of red ginger extract powder. This study examines the production of processed red ginger products in the form of red ginger powder with variations in temperature treatment (80 and 90°C) and the percentage of sugar cubes (60 and 100%). The purpose of this study was to determine the effect of temperature variations and crystallization agent levels on the porosity value of red ginger powder products, both research results and commercial products that have been circulating in the market. Analysis of test results obtained from scanning electron microscope (SEM) surface morphology images with prior conversion to matrix data The analysis step utilized the Origin program version 2019b. The results of the study with four treatments gave a positive value for porosity. The best treatment obtained was at 90°C and 100% sugar content for residual red ginger raw material (pulp). The highest porosity value for red ginger powder was 76.48%. Meanwhile, the highest commercial product was 77.00%. Indirectly, the research product has a porosity value that is close to the commercial product. The surface area of the product can significantly influence the porosity value between powder and granule products from ginger processing in an effort to increase post-harvest shelf life.]]>
<![CDATA[Optimasi Proses Pembuatan Asap Cair dari Tempurung Kelapa Melalui Response Surface Methodology (RSM) ]]>
<![CDATA[Kholisoh, Siti Diyar]]>;
<![CDATA[Achmad, Zubaidi]]>;
<![CDATA[Hadi, Faizah]]>
<![CDATA[ Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v16i2.4552
<![CDATA[Response Surface Methodology (RSM) is a collection of mathematical and statistical techniques that are useful for analyzing complex processes that are influenced by several variables. This research aimed to apply RSM in optimizing the process of making liquid smoke from coconut shell pyrolysis. Optimum process conditions were reviewed based on the content of several functional compounds in liquid smoke including carbonyl content, phenol content, and acid content. The process variables comprised pyrolysis temperature (within the temperature range of 350 oC as low level (-1) and 450 oC as high level (+1)), pyrolysis time (within the range of 45 minutes as low level (-1) and 75 minutes as high level (+1)), and the water content in the coconut shell (within the range of 10% water content as low level (-1) and 20% as high level (+1)). This study results showed that the best carbonyl content in liquid smoke was 3.58% at temperature of 395 oC, pyrolysis time of 60 minutes, and water content of 16%. The optimum phenol content of 5.55% was achieved with a combination of pyrolysis time of 65 minutes and water content of 15.5%. Based on the acid content, an optimum value of 19.55% was obtained at a combination of pyrolysis time of 62 minutes and water content of 15.5%. The hypothesis H0 could be accepted statistically for the carbonyl content.]]>
<![CDATA[Perencanaan Kebutuhan Baku dengan ARIMA dan EOQ ]]>
<![CDATA[Mawadati, Argaditia]]>;
<![CDATA[Wibowo, Agus Hindarto]]>;
<![CDATA[Prima, Melanisa Ade]]>
<![CDATA[ Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v16i2.4554
<![CDATA[A production plan will run well if it is supported by an adequate supply of raw materials. Raw material procurement at PT Pura Barutama is done by asking suppliers to send raw materials to the warehouse every day with an uncertain amount. As a result, there is a buildup of raw materials in the warehouse. This accumulation of raw materials poses a risk of loss because the raw materials used are materials that are prone to damage, if this happens, the company will experience a loss in purchasing costs. The purpose of this study is to determine the amount of raw material orders using the ARIMA method for forecasting raw material requirements and Economic Quantity Order (EOQ) to determine the point of reordering raw materials. The results showed that the use of EOQ can save the total cost of raw material inventory up to Rp 53,549,222. It is concluded that the optimal amount of raw material ordering is 19591.8 Kg / order, ordering is done 10 times a year and the company's raw material reorder point is when the amount of raw material is 668.71 Kg, thus the company does not experience excess raw materials. ]]>
<![CDATA[A Study on the Usage of Learning Management Systems in Higher Education ]]>
<![CDATA[Wulandari, Dewi Arianti]]>;
<![CDATA[Soeprobowati, Tri Retnaningsih]]>;
<![CDATA[Nugraheni, Dinar Mutiara K]]>;
<![CDATA[Wandy, Wandy]]>
<![CDATA[ Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v16i2.4556
<![CDATA[This research aimed to determine the extent to which the learning management system helps in online teaching and learning activities makes learning administration and management more accessible, and makes learning activities more effective. The research used primary data from a survey from universities in West Jakarta that 69% of most respondents used a learning management system, whether they are using the existing learning management or building their own, and 44% are using Moodle application as their learning management system media. Student readiness was 69%, meaning that most were familiar with using media devices in online learning, and 92% of teaching staff, both lecturers/mentors and instructors, have experience using and evaluating online learning. Universities in West Jakarta have used learning management systems to assist the process of learning activities so that they can be used as a reference for developing online learning models.]]>
<![CDATA[Evaluasi Kinerja Mesin Bending Hidrolik Menggunakan Metode Overall Equipment Effectiveness (OEE), Failure Mode and Effect Analysis (FMEA), dan Fault Tree Analysis (FTA) ]]>
<![CDATA[Khasanah, Rahayu]]>;
<![CDATA[Susilawati, Indri]]>;
<![CDATA[Sodikin, Imam]]>
<![CDATA[ Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v16i2.4557
<![CDATA[ PT Hari Mukti Teknik is a company engaged in the Manufacturing Industry that produces laundry machines and other mechanical engineering. The problem that occurs in the production process at PT Hari Mukti Teknik is the performance of the bending machine which has a high downtime value of an average of 994 minutes per month. The purpose of this study is to evaluate the performance of the bending machine by knowing the level of effectiveness of the performance of the bending machine using the OEE method, knowing the causes of losses that affect the level of effectiveness of machine performance, using the six big losses method and analyzing losses using the Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods to propose improvement efforts. Based on the results of data processing, the average Overall Equipment Effectiveness (OEE) value of bending machines in one year is 84.21%, with the largest losses being equipment failure losses of 7.34%. Proposed improvements based on FMEA and FTA analysis are to carry out periodic maintenance, make a predictive maintenance list, carry out periodic re-checks, carry out periodic lubrication, check environmental cleanliness, and replace damaged components. ]]>
<![CDATA[Porositas Serbuk Jahe Merah (Zingiber officinale Roscae var. Rubrum) terhadap Variasi Suhu dan Kadar Gula Pasir ]]>
<![CDATA[Sinabutar, Kristin Valentina]]>;
<![CDATA[Sari, Dessy Agustina]]>
<![CDATA[ Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v17i1.4559
<![CDATA[Ginger is one of Indonesia's most abundant and widespread cultivated plants and is widely used in people's daily lives as a raw material and additive in the manufacture of food and beverages. One type of ginger that is in great demand in the herbal beverage industry is red ginger. The bioactive compounds found in ginger include 6-gingerol, 6-paradol, 6-methylshogaol, 8-methylshogaol, 8-gingerol, 10-gingerol and 6-shogaol. Red ginger contains various bioactive compounds with pharmacological effects such as analgesic, anti-inflammatory, anti-cancer, antioxidant and cardiotonic effects. Scanning Electron Microscopy (SEM) is a microscopy technique used to produce high-resolution images of the surface of an electron sample. This study aimed to analyze the porosity of red ginger powder against variations in temperature and sugar content. The temperatures were 80 and 90°C with a sugar content of 60 and 100%. The results showed that the increase and decrease in the percentage of porosity values were caused by differences in temperature variations applied to the crystallization process. The rate of red ginger powder's porosity that approaches the fresh red ginger rate is red ginger powder at 80°C and 60% crystallization agent. The research results contributed to the characteristics of the materials used and the development of red ginger drink powder products.]]>
<![CDATA[Pengaruh Suhu Evaporasi-Kristalisasi dan Persentase Gula Batu terhadap Warna Produk Serbuk Jahe Merah (Zingiber officinale) ]]>
<![CDATA[Aprillia, Beauty]]>;
<![CDATA[Sari, Dessy Agustina]]>
<![CDATA[ Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v17i1.4571
<![CDATA[Red ginger (Zingiber officinale) is recognized as a medicinal plant with multiple benefits. The medicinal benefits of red ginger necessitate cautious handling and treatment to avoid damaging the compounds present in ginger. Producing red ginger powder to make an instant red ginger drink is one of the most frequent methods of ginger processing. The aim of this study is to investigate the impact of raising the temperature during the evaporation-crystallization process (at 80 and 90 oC). Then, the proportion of crystallization agent is rock sugar (at 60 and 100%), which alters the color of red ginger extract, both in terms of research outcomes and commercial products. Each specimen is provided in the form of a solid stage (red ginger powder) and a liquid phase, whereby the red ginger powder is dissolved in hot water (approximately 50 oC). The color of both products was analyzed using a chromameter. The results indicate that the product samples' color changed with the color components L (dark-light), a (red-green), and b (yellow-blue). These changes were caused by an increase or decrease in the amount of dye in the red ginger extract. This caused carotenoids (red) and oleoresin (yellow). Additionally, they indicated a Maillard reaction due to the increase in temperature during the evaporation-crystallization process. The optimum outcomes of this research were observed when fresh raw materials were exposed to 90 °C and 100% cube sugar content. Notably, the color values exhibited no significant discrepancies from those of commercially available red ginger products.]]>
<![CDATA[Deteksi Cyberbullying Menggunakan BERT dan Bi-LSTM ]]>
<![CDATA[Farasalsabila, Fidya]]>;
<![CDATA[Utami, Ema]]>;
<![CDATA[Hanafi, Hanafi]]>
<![CDATA[ Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v17i1.4636
<![CDATA[Cyberbullying is a digital problem that is not a new phenomenon. This existed before the advent of social networks, and cyberbullying has a wide impact, including a person's mental and physiological conditions such as sadness, anxiety and depression. The main objective of this research is to develop an effective cyberbullying detection system using natural language processing techniques. The method used in this research includes the application of the BERT (Bi-Directional Encoder Representations from Transformers) and Bi-LSTM (Bi-Directional Long Short-Term Memory) models as a deep learning approach to analyze text and detect cyberbullying behavior. This approach allows the system to understand complex language contexts and capture patterns that traditional methods may find difficult to identify. Testing was carried out using a dataset that included various types of Indonesian language texts containing cyber bullying acts. The research results show that the combination of BERT and Bi-LSTM is able to provide superior detection performance with a high accuracy rate of 90% and the ability to identify variations of cyber bullying. This research makes a significant contribution to efforts to protect individuals from the negative impacts of cyber bullying through the development of a sophisticated and adaptive detection system.]]>
<![CDATA[Literature Study on the Development of Neural Networks For Weather Forecasting ]]>
<![CDATA[Amir, Fail]]>;
<![CDATA[Utami, Ema]]>;
<![CDATA[Hanafi, Hanafi]]>
<![CDATA[ Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v17i1.4637
<![CDATA[Weather prediction has always been crucial for individuals to make informed decisions and protect themselves from potential hazards. Achieving accurate weather forecasts has historically been a significant challenge. Modern weather forecasting has evolved to integrate sophisticated computer models, data from atmospheric balloons and satellites, and insights from local observations. These methods have resulted in fairly precise predictions. Most forecasting models depend on complex mathematical formulas, but Artificial Neural Networks (ANN) offer a dynamic alternative, adapting their structure based on incoming data. This research aimed to thoroughly evaluate the effectiveness of ANNs in weather prediction. It explored the advantages of ANNs over traditional models, reviewed a range of methodologies, and documented the latest advancements in the field. The ultimate goal was to consolidate research findings to highlight the strides made in enhancing weather forecasting through ANNs.]]>
<![CDATA[Penyisihan Kandungan Perak dalam Limbah Cair Pencucian Film Melalui Proses Biofiltrasi dengan Tanaman Eceng Gondok ]]>
<![CDATA[Diyar Kholisoh, Siti]]>;
<![CDATA[Wahyu Widayati, Tunjung]]>;
<![CDATA[Achmad, Zubaidi]]>;
<![CDATA[Hadi, Faizah]]>
<![CDATA[ Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi ]]>
Publisher : <![CDATA[Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia ]]>
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DOI: 10.34151/jurtek.v17i1.4678
<![CDATA[Wastewater produced from the film washing process in photo studios generally has very high contents of heavy metals, such as silver (Ag). This situation can cause various health and environmental problems if it is not treated before disposal. Therefore, this research was aimed to reduce the silver content in the wastewater through biological processes. This study was conducted using a biofiltration process using water hyacinth plants. Film washing waste was first acclimatized into concentration of 2.5% and the initial silver content was measured. Afterwards, water hyacinth of 600, 900, 1200, and 1500 g, respectively, was planted into the wastewater. Waste samples were subsequently taken and analyzed every 2 days. The highest removal efficiency of 99.94% was yielded for 1500 g of plant. In this condition, the silver content in wastewater met the environmental quality standards.]]>
