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Articles 162 Documents
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Search results for , issue "8th International Seminar of Research Month 2023" : 162 Documents clear
Distribution of Chlorophyll Concentrations Using Two Channel Terra MODIS Satellite Images in The Ketingan Coastal Area, Sidoarjo Zainab, Siti; Trilita, Minarni Nur; Aryaseta, Bagas
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4101

Abstract

The coast of Ketingan Sidoarjo is a fairly dynamic area, where the lives of fishermen depend on fishing. Ecosystem changes that occur in the coastal area of Ketingan Sidoarjo greatly affect the fishing effort, where one of the parameters that can be observed is the distribution of chlorophyll content from the water bodies on the coast. The purpose of this research is to analyze and map the distribution of chlorophyll content in the coastal area of Ketingan, Sidoarjo. This is based on the fact that researchers have not done much research on chlorophyll using 2-channel Terra Modis satellite imagery, where the best response is on Channel 3 = Rrs_678/Rrs_555, the best model obtained is the 2nd order Polynomial Algorithm Model y = 1.2446 x2 – 1.725 x + 1.0987 with a degree of determination R2= 0.3826.
Risk Analysis in Facing the Production of Laying Hens (Case Study in Ringinsari Village, Kandat District, Kediri Regency) Laily, Dona Wahyuning; Roidah, Ida Syamsu; Rozci, Fatchur; Purnamasari, Ika
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4102

Abstract

Laying chickens are a commodity that is popular with the public for fulfillment of animal protein requirements. In cultivating laying hens, several risks must be taken into account. This research aims to analyze sources of risks faced, priority risk levels and management strategies risks of the laying hen farming business carried out by laying hen breeders in The research location is Ringinrejo Village, Kandat District, Kediri Regency. Respondents to the research were 62 breeders using the census method of laying hens. In analyzing risk sources, the Fishbone Diagram is used. In analyzing the risk level, qualitative descriptive analysis of management strategies farm management. From the research results, there are two sources of risk, namely production risk and price risk. The highest production risk is characterized by the presence of climate warming, disease attacks, weather changes, limited capital, poor feed quantity and quality, as well as pest attacks. While at-risk prices were marked by a decrease in egg prices and an increase in feed prices. Therefore, breeders can explain several strategies, namely by expanding distribution channels and establishing cooperation, developing cages adaptive, preventing and treat pests and diseases, as well as Improving the quality of human resources.
Optimization of Glucose from Saccaromycess cerevicae Liquid Waste Using the Acid Hydrolysis Process Sari, Ni Ketut; Ernawati, Dira; Sari, Komang Nickita
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4103

Abstract

Selection of Saccharomyces Cereviceae (SC) wastewater as a component produced by PT. Enero comes from a fermentation process that uses SC yeast, it’s availability is great and it has not been used as a raw material for glucose, which until now has been industrial waste. Efforts have been made to convert SC waste water into liquid fertilizer and biodiesel feedstock. The recovery of glucose from SC waste water in the chemical hydrolysis process using the reaction surface method (RSM), the hydrolysis process was carried out with a digital stirrer at a rotation speed of 200 rpm and the addition of 5 ml of 10% NaOH. The variables used were 50–250 mL SC waste water and 10–30 mL HCl volume. The optimization results using RSM of the chemical hydrolysis process are shown in three-dimensional graphs, pH and SC waste water ratio and HCl volume, glucose content and SC waste water ratio and HCl volume. The best results with SC waste volume of 8.58 mL and HCl volume of 34.14 mL achieved a pH of 4.38. In order to achieve a pH of 4.5, a hydrolysis process is carried out because the pH of the SC waste water is very acidic, i.e. 3.5, and 10% NaOH is added to increase the pH. The result of glucose from the hydrolysis process is 17.96%, the required volume of waste water SC of 137.14 ml, the addition of 34.14 ml of HCl as a raw material for the fermentation process. Based on the optimization results using RSM and chemical hydrolysis method, the glucose content is 17.96% and the pH is 4.38 with the SC water waste volume of 137.14 mL and the HCl volume of 34.14 mL.
Analysis Peak Hour Time of Highest Vehicle Volume on Several Roads in The East Surabaya Roads Area Fatikasari, Aulia Dewi; Alfiansyah, Achmad Dzulfiqar; Rizal, Rikky Sofyan
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4104

Abstract

The East Surabaya area is one of the industrial and office centers. The high activity of the people in the city of Surabaya will affect transportation mobility which is marked by the growth of road traffic volume which continues to increase rapidly. This area has a lot of community mobility to and from the East Surabaya area. This caused congestion on several roads. Congestion is the main problem of transportation in urban areas. At certain hours there is often a spike in traffic volume that exceeds the capacity of existing roads. This is related to the starting hours of activities in East Surabaya and the ending hours of activities from East Surabaya which coincide, causing traffic jams. The East Surabaya area is divided into two times when the traffic volume increases, namely morning and evening. Based on this, this study aims to determine when there is a spike in traffic volume. The method used is a traffic volume survey, looking for peak hour volume based on cur/hour units and determining when peak hours occur. The results showed that the highest volume in direction 1 during peak hour occurred on Friday in Jalan Panjang Jiwo with a volume of 5947 cur/hour and direction 2 occurred on Friday on Jalan Jemursari. The average time for an increase in traffic volume in the East Surabaya area in the morning is 07.00 to 08.35 and in the afternoon is 15.35-18.00.
Intermittent Data Forecasting using Kernel Support Vector Regression Muhaimin, Amri; Setyowati, Endah; Maulida H, Kartika; Sari, Allan Ruhui Fatma
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4105

Abstract

Forecasting involves making future estimates. Forecasting methods are commonly employed to predict stock prices, monetary distribution, and weather conditions. To generate accurate forecasts, it is crucial that the data used is consistent, comprehensive, and unchanging. Some data can be readily predicted, while some poses a considerable challenge. An illustration of this is found in discontinuous data, which is notably hard to forecast. Discontinuous data is marked by frequent instances of zero values due to sporadic events. For instance, when tracking the sales of aircraft or other products, sales do not transpire daily, causing recorded data to often register as zero. Various techniques have been explored to handle this kind of data. In this particular study, the chosen method is support vector regression. This method is capable of predicting discontinuous data with a quality level of 1.004, which is lower than traditional approaches like exponential smoothing.
Sentiment Analysis in Social Media: Case Study in Indonesia Muhaimin, Amri; Fahrudin, Tresna Maulana; Alamiyah, Syifa Syarifah; Arviani, Heidy; Kusuma, Ade; Sari, Allan Ruhui Fatmah; Lisanthoni, Angela
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4106

Abstract

Stunting is a problem that currently requires special attention in Indonesia. The stunting rate in 2022 will drop to 21.6% and for the future, the government has set a target of up to 14% in 2024. There have been many government efforts in implementing programs to reduce stunting rates. However, not everything runs optimally. Rapid technological developments and freedom of expression in the internet world produce review text data that can be analyzed for evaluation. This study aims to analyze the text data of Twitter users' reviews on stunting. The method used is a text-mining approach and topic modeling based on Latent Dirichlet Allocation (LDA). The results show that negative sentiment dominates by 60.6%, positive sentiment by 31.5%, and neutral by 7.9%. In addition, this research shows that 'anak', 'turun', 'angka', 'cegah' and 'gizi' are among the words that often appear on the topic of stunting.
Comparison of DAF Pretreatment between Static Mixer and Impeller Mixer for Oil and Grease Reduction Novembrianto , Rizka; Rosariawari, Firra; Cahyonugroho, Okik Hendriyanto; Nisa', Syadzadhiya Qothrunada Zakiyayasin; Sitogasa, Praditya Sigit Ardisty; Murti, Restu Hikmah Ayu
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4107

Abstract

The problem of domestic wastewater originating from restaurants is the largest contributor to organic wastewater in urban waters. Among them are waste water parameters, namely oil, and grease. Oils and grease are compounds that do not dissolve easily in water. However, it can be dissolved with non-polar organic solvents. The carbon chains of oils and grease are also long. So, it is difficult to decompose and takes a long time if processing uses the help of microorganisms. So, the alternative is to use physical-chemical processing. In this research, we tried using a static mixer and an impeller mixer. We conducted a systematic review of DAF techniques in wastewater treatment. We reviewed six indexed databases namely dissolved air flotation, microbubbles, wastewater treatment, and key operational and design parameters involved in the effectiveness of the flotation process. In this pre-treatment, the focus is on the withdrawal/discharge speed in collecting wastewater as a test and the effectiveness of mixing wastewater with coagulants and air pressure. These three aspects are used in equilibrium to achieve the optimum dose for the static mixer use scheme. Meanwhile, the impeller mixer scheme uses rotational speed in mixing with the coagulant, contact time, and Reynolds number to achieve the required turbulence. Apart from that, the use of electrical energy in the pump is also calculated in these two schemes. The results obtained were the amount of weight of oil and grease collected in the static mixer pretreatment of 9.12% w/v and the impeller mixer of 7.63% w/v and the results of the organic content of the Chemical Oxygen Demand (COD) parameter for the static mixer were 86.92 % and mixer impeller 78.86 %. From these results, static mixers have advantages over using impeller mixers in terms of the effectiveness of the oil and grease reduction process.
Socialization and Training on Making Compost Fertilizer at Al-Azhaar Islamic Vocational School Tulungagung from Organic Waste Faizah, Rohmatul; Deviyanti, Nur Qomariyah; Triswanti, Dina Riska; Suprapto, Ekafianda Azzhara
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4108

Abstract

Organic waste is leftover material or rubbish that can be recycled and comes from living creatures, such as food waste, waste from living creatures, or plant waste. Research shows that organic waste can be useful as compost which can be used as plant fertilizer and soil fertilizer. This activity was carried out at the Islamic Boarding School Innovation Thematic KKN activity at Al-Azhaar Islamic Boarding School, Tulungagung. The tools and materials used in socialization and training activities are compost bags, measuring cups, latex gloves, dry leaves, vegetable waste and water. Socialization and training activities are carried out in stages, namely preparing the location as well as the tools and materials that will be used. The location used in this activity is the Al-Azhaar Islamic Vocational School field in Tulungagung. Student and female representatives came forward to practice making compost according to the example given. Question and answer session by students of Al–Azhaar Islamic Vocational School, Tulungagung. The aim of carrying out socialization and training on making compost from organic waste is so that students and students of the Islamic Vocational School Al - Azhaar Tulungagung are able to process organic waste around the school which can be used into more useful items in the form of compost fertilizer.
Anti-Radicalism Literacy Jihad: Efforts to Contextualize Nahdlatul Ulama's Jihad Resolution in the Modern Era Faizah, Rohmatul; Baedowi, Ahmad
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4109

Abstract

The Nahdlatul Ulama Jihad Resolution, which was proposed as an effort to seize and defend the Unitary State of the Republic of Indonesia (NKRI) from the hands of colonialists, was based on the postulates of the Islamic religion which obliges every Muslim to defend the homeland and defend the independence of the Unitary State of the Republic of Indonesia. The jihad resolution that was proclaimed immediately spread widely to society. In today's context, jihad, which is interpreted as a serious effort, can be widened in scope in terms of protecting all of Indonesia's blood from threats and exposure from extreme and radical groups through strengthening literacy or literacy jihad. Nowadays Islamic boarding schools as educational institutions which are one of the strongholds of the Republic of Indonesia have undergone changes in responding to the challenges of the times by incorporating information technology knowledge. This knowledge is an effort to develop general knowledge as well as the practice of using Information and Communication Technology (ICT) to equip students in this digital era. This is an effort to contextualize NU's jihad resolution in the modern era, namely jihad in the field of literacy to ward off radicalism.
Modelling of Return of S&P 500 Using the Non Linear Generalized Autoregressive Conditional Heteroscedasticity (NGARCH) Model Trimono, Trimono; Damaliana, Aviolla Terza; Putri, Irma Amanda
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4110

Abstract

ARIMA Box-Jenkins is one of the most popular forecasting methods. ARIMA modeling requires a non-heteroskedastic care that shows constant residual variants. Awake, meaning residual residue from heteroscedastic ARIMA modeling (not constant). To overcome the problem of residual heteroskedasticity ARIMA used modeling volatility that is Generalized Autoregressive Conditional Heteroscedasticity (GARCH). GARCH is used to model the ARIMA residual variant which means symmetric. Some financial data has an asymmetric nature caused by the influence of good news and bad news. To accommodate these asymmetric properties, we use the Non-Linear Generalized Autoregressive Conditional Heteroscedasticity (NGARCH) volatility model which is the development of the GARCH model. This research applies NGARCH model using S & P 500 share price index data from January 1, 2019, until July 31, 2023 during active day (Monday-Friday). The purpose of this study, to find the best model NGARCH. The best model generated for S & P 500 stock price index data is ARIMA (1,0,1) NGARCH (1,1) because it has small AIC.

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