21560 research outputs found
Sort by
Prediksi Persediaan Bahan Baku Dengan Pendekatan Metode SARIMA dan Prophet di Kepiting Kretegg
No full textUncertainty in customer demand can cause excess or shortage of raw material supply at Kretegg Crab. Excess supply risks causing storage in the freezer, especially for raw materials such as crab whose texture can change after being
frozen, thus affecting quality and financial smoothness. Based on the percentage of demand in April 2025, there are raw materials that have a demand percentage of 0%, so raw material predictions are made at the three highest ranks in demand, namely crab, green mussels, blood cockles, and tofu cockles. In this study, an analysis of the prediction error rate of the SARIMA and Prophet methods was carried out. The prediction error rate test uses RMSE and MAE, where the selection of the method is based on the lowest error rate. The results show that the SARIMA method is better than the Prophet for all types of raw materials. The best parameters
for each raw material are crab with parameters (2,1,10)(0,1,2)[12], green mussels with parameters (1,0,4)(1,0,2)[12], blood cockles with parameters (1,0,4)(0,0,2)[12], and tofu cockles with parameters (2,0,1)(0,0,2)[12]
PREDIKSI HARGA SAHAM BLUECHIP PERBANKAN MENGGUNAKAN METODE TIME SERIES DENGAN GRU (GATED RECURRENT UNIT)
No full textStock price prediction is a crucial component in investment decision making, enabling investors to plan strategies more accurately and minimize risks. This study applies the Gated Recurrent Unit (GRU) model to predict the stock prices of blue-chip banking companies in Indonesia using data from the period 2019 to 2024. The model utilizes historical stock data to forecast future trends. The results from the first testing scheme, with a data split ratio of 70% / 30%, using
GRU units (128,256) with the Adam optimizer, show that the GRU model is the most optimal in terms of prediction, measured by metrics such as MSE, RMSE, and MAPE. This study also proposes a web-based dashboard that visualizes the predicted stock prices and provides decision-support tools for investors. The findings highlight the effectiveness of deep learning in financial forecasting and underscore its potential to enhance investment strategies
ANALISIS STRATEGI PENETAPAN HARGA PADA SALURAN ONLINE, OFFLINE, DAN RESELLER BERDASARKAN KONSEP MODEL DUAL CHANNEL SUPPLY CHAIN: STUDI KASUS GAB'S JEANS
Get PDFThe rise of digitalization has driven companies to adopt the Dual Channel Supply Chain (DCSC) model to expand market reach and improve distribution efficiency. This study aims to evaluate pricing strategies based on the level of coordination between online, offline, and reseller channels to maximize company profit. The research develops a mathematical model that incorporates three demand functions (offline, online, and reseller) and a profit objective function. Model parameters including price elasticity, cross-channel sensitivity, unit cost, and customer preferences were obtained from historical data and structured questionnaires, then optimized using MATLAB. The validated model was applied to simulate four pricing scenarios reflecting different coordination levels among channels. Simulation results show that Scenario 2, integrating coordination among online, external reseller, and offline channels, yields the highest financial performance, generating a total profit of IDR 456,955,350. This collaborative approach outperforms other scenarios by enabling synchronized pricing and promotions and expanding market coverage without requiring additional investment in distribution infrastructure. Further sensitivity analysis confirms that Scenario 2 remains the most robust across variations in key parameters such as unit cost, channel preference, and maximum demand. Therefore, a coordinated pricing strategy within the DCSC framework can serve as an adaptive and competitive solution for companies operating in multi-channel environments
Pengaruh Bahan dan Lama Perendaman Seed Priming Terhadap Vigor, Viabilitas, dan Pertumbuhan Awal Bibit Tanaman Kelor (Moringa oleifera L.)
Get PDFMoringa is known as “the miracle tree” because it is a source of medicinal nutrition. The ever-increasing demand for moringa leaves also drives the high demand for its seeds. Generative propagation of moringa plants is difficult because moringa seed germination and survival is low, moringa plants also have hard and thick seed coats, so the seed dormancy period is longer. This study used a 2-factor factorial completely randomized design (CRD), namely the type of seed priming material (S) consisting of distilled water, seaweed extract, coconut water, PEG 6000 and KNO3 and the soaking time of the priming solution consisting of 12 hours, 24 hours and 36 hours, with 15 combinations and 3 replicates. The results showed that the combined treatment of PEG 6000 seed priming material and 12 hours soaking time gave the highest mean value of germination and maximum growth potential. The single treatment of PEG 6000 seed priming material gave the highest mean value of vigor index, sprout length, sprout root length, sprout weight, seedling height, number of plant leaves. The single treatment of 12 hours soaking time gave the highest mean vigor index
PENGARUH PENERAPAN BIG DATA ANALYTICS DAN ARTIFICIAL INTELLIGENCE TERHADAP KUALITAS AUDIT DI SEKTOR PERBANKAN DI MEDIASI AUDIT REPORT LAG
Get PDFThis study aims to test the effect of big data analytics and artificial intelligence on audit quality in the banking sector, as well as mediate the audit report of the influence of big data analytics and artificial intelligence on audit quality. This study was conducted on 80 auditors of public accounting firms registered in the IAPI 2025 Directory with experience in conducting audits in the banking sector listed on the Indonesia Stock Exchange. The data collection technique was by distributing questionnaires via g-form. Data analysis in this study used the SEM-PLS approach with the SmartPls 4.0 analysis tool. The results of this study indicate that big data analytics has an effect on audit quality in the banking sector but artificial intelligence does not have an effect on audit quality. Big data analytics and artificial intelligence have an effect on audit report lag. Big data analytics and artificial intelligence influence audit quality in the banking sector in the mediation of audit report lag
Analisis pengaruh Kesehatan Kerja, Keselamatan Kerja, Dan Lingkungan Kerja Terhadap Kinerja Karyawan Dengan Mediasi Kepuasan Kerja Dengan Menggunakan Metode Partial Least Square (PLS) (Studi Kasus Di PT Kurnia Agro Kemika Krian)
Get PDFThis study aims to analyze the influence of occupational health, occupational safety, and work environment on employee performance, with job satisfaction as a mediating variable at PT Kurnia Agro Kemika. The population in this study consists of all 45 employees of PT Kurnia Agro Kemika. Due to the limited population size, this study employs a census method, where the entire population is used as the research sample. Data analysis is conducted using the Partial Least Squares (PLS) method to examine the relationships between the studied variables. The results indicate that occupational health, occupational safety, and work environment have a significant impact on employee performance through job satisfaction as a mediating variable. This finding suggests that better occupational health conditions, occupational safety, and work environment provided by the company enhance employee job satisfaction, which in turn positively contributes to improved employee performance. These findings emphasize the importance of the company's role in creating a safe and comfortable work environment to boost employee productivity
Implementasi Bantuan Luar Negeri Jepang dalam Pembangunan Kereta Cepat Mumbai-Ahmedabad di India Periode 2017-2023
Get PDFPenelitian ini menganalisis implementasi bantuan luar negeri Jepang dalam pembangunan proyek kereta cepat Mumbai-Ahmedabad di India selama periode 2017–2024. Bantuan luar negeri diimplementasikan dalam tiga bentuk yaitu bantuan dana pembangunan infrastruktur yang diberikan melalui skema pinjaman lunak, bantuan teknis, dan transfer pengetahuan. Sebagai salah satu mitra utama India di Asia, Jepang telah memainkan peran penting dalam mendorong kerja sama dengan India melalui berbagai inisiatif, termasuk di sektor pembangunan infrastruktur. Proyek kereta cepat Mumbai-Ahmedabad, yang didanai oleh Japan International Cooperation Agency (JICA) melalui skema pinjaman luar negeri, merupakan contoh nyata dari kemitraan strategis antara kedua negara. Dengan 80% pendanaan proyek berasal dari pinjaman, kolaborasi ini menyoroti pentingnya hubungan ekonomi dan strategis antara India dan Jepang. Studi ini menggunakan teori bantuan luar negeri untuk pembangunan oleh Hans Morgenthau. Analisis pembahasan didukung oleh beberapa penelitian lain yang masih sejalan dengan teori utama. Data dikumpulkan dari berbagai sumber literatur, termasuk laporan perkembangan proyek dan dokumen kebijakan luar negeri dari kedua negara.
Kata Kunci: Bantuan Luar Negeri, Kereta Cepat, Pinjaman, Bantuan Teknis,
Transfer Pengetahua
PROSES PRODUKSI BANDENG PRESTO DI UD. BUNDA FOODS SIDOARJO DAN STUDI KELAYAKAN BISNIS NUGGET BANDENG KEJU MOZZARELLA
Get PDFPRA RENCANA PABRIK PABRIK HIGH DENSITY POLYETHILENE (HDPE) MENGGUNAKAN ETILEN, 1-BUTENA, SIKLOHEKSANA, DAN HIDROGEN DENGAN PROSES SOLUTION KAPASITAS 65.000 TON/TAHUN
Get PDFA High-Density Polyethylene (HDPE) plant with a capacity of 65,000 tons/year will be established in Kosambironyok, Serang, Banten. The main raw material is ethylene (C₂H₄), which will be supplied by PT Chandra Asri Tbk. Supporting materials include 1-butene (C₄H₈) sourced from PT Pertamina Refinery Unit IV, hydrogen (H₂) obtained from PT Samator Indonesia, and cyclohexane (C₆H₁₂) along with the Ziegler-Natta catalyst (TiCl₄Al(C₂H₅)₃) which will be directly imported from PT Ziirlong, China, as the regular supplier.
The HDPE product is formed through the polymerization process of ethylene, 1-butene, and hydrogen with the aid of a Ziegler-Natta catalyst based on titanium tetrachloride and TEAL, using cyclohexane as the solvent. Polymerization occurs in a stirred tank reactor (R-210). Ethylene and 1-butene are mixed in a mixer (M-170), then pumped and heated using a double pipe heat exchanger (E-172). The solid Ziegler-Natta catalyst is dissolved in cyclohexane in a mixer (M-180), then pumped to a double pipe heat exchanger (E-182) and pressurized using a compressor (G-183).
The prepared raw materials are fed into the stirred tank reactor (R-210) from the top at a temperature of 160°C and a pressure of 34 atm. The reaction proceeds exothermically, and to maintain a constant temperature within the reactor, it is equipped with a cooling jacket. Ethylene and 1-butene continuously bind to the active sites of the catalyst to form polymer chains. Hydrogen from a storage tank (F-130) is fed into the reactor to terminate the polymer chain formation. The hydrogen breaks the Ti-C bond, causing the carbon chain to bind with hydrogen, thereby stopping the polymerization reaction. A chain-growth polymerization reaction occurs inside the reactor
PRAKTIK KERJA LAPANGAN PERANCANGAN ABSORBER UNTUK MENGURANGI KANDUNGAN H₂S DALAM BIOGAS PT ENERGI AGRO NUSANTARA
Get PDFThis internship was carried out at PT Energi Agro Nusantara (PT ENERO), a company engaged in the production of bioethanol using molasses as its primary raw material. One of the key challenges in the biogas purification process is the high concentration of hydrogen sulfide (H₂S), which can cause severe corrosion and reduce the efficiency of energy generation systems. Therefore, the main focus of this internship was the design of an absorber column to reduce H₂S content in biogas to meet required quality standards. The methodology included literature review, on-site observations, technical data collection, and design calculations using chemical engineering principles and simulation software. The design results indicate that a sieve tray absorber column, under specified operating conditions, is capable of enhancing biogas purification efficiency. The implementation of this system is expected to optimize the utilization of biogas as a renewable energy source while minimizing environmental impact