Physical Sciences and Mathematics Commons^™

Development Of An Android-Based Cultural Heritage Map App, Muhammad Irfan Luthfi, Ratna Wardani, Nisa Dwi Septiyanti

Elinvo (Electronics, Informatics, and Vocational Education)

This study aims to (1) develop an Android-based cultural heritage map app that can provide the location of cultural heritages in the Special Region in Yogyakarta along with its descriptions, images, and videos; and (2) understand the quality of the app based on standard software quality testing ISO / IEC 25010 on functional suitability, performance efficiency, and compatibility. The development method utilized a waterfall software development model that consists of communication, planning, modeling, construction, and deployment. The results of this study are 1) an Android-based cultural heritage map app that can provide the location of cultural heritages in the Special …

Usability Of Mobile Application For Implementing Genetic Counselling Intervention Among Thalassemia Patients And Caregivers: A Case Study Of Cyber Gen, Henri Setiawan, Nur Hidayat, Atun Farihatun, Marlina Indriastuti, Rudi Kurniawan, Andan Firmansyah, Esti Andarini, Yudisa Diaz Lutfi Sandi

Elinvo (Electronics, Informatics, and Vocational Education)

Utilization of communication and information technology has been widely used in the health sector, especially nursing. As one of the nursing interventions for thalassemia patients and caregivers, genetic counseling is not only done face to face but can use android-based telenursing facilities through the complete features available in the Cyber Gen application. This study aims to measure the usability level of Cyber Gen application as an indirect genetic counseling medium for thalassemia patients. This application was developed with four main services: basic information about diseases, consultation rooms, social support, and direct surveys. This application is built using the Flutter Framework, …

Hpra’S Kevin O’Donnell On The Ich Q9 Revision And Considerations For Its Implementation, Kevin O'Donnell

Level 3

At the June 2023 PRST meeting on the ICH Q9 revision, HPRA Market Compliance Manager and Senior GMP Inspector Kevin O’Donnell, who has been serving as rapporteur for ICH Q9 (R1), addressed the changes introduced in the revision, the practicalities of implementation, and his “personal thoughts” on the implementation process. Click here for ICH Q9(R1) with the changes highlighted by O’Donnell, and here for the slides accompanying O’Donnell’s remarks. Formatting

changes and other minor edits have been made for clarity by IPQ. Expressions of thanks to the meeting organizers/attendees and disclaimers that the presentation represents the speaker’s views and not …

Introducing Research Collaboration And Gmp Human Resource Development At Three Universities With Gmp Laboratories In Japan, Shingou Sakurai, Osamu Hiruta, Ryoko Naruse

Level 3

This paper summarises initiatives presented on June 1^st 2023 at a seminar during a visit to Technological University Dublin. The authors travelled from 3 universities in Japan to share some of the collaborative research, education and training initiatives developed by them,

In their presentation the authors gave an overview of the current situation of Knowledge Management and Quality Culture in Japan, highlighting some recent issues and challenges, and presented some initiatives under development to specifically address these challenges.

Industry/Regulator Dialogue On Knowledge Management Is Intensifying In Wake Of Ich’S Q12 Initiative, ( Ipq )

Level 3

No abstract provided.

Implementasi Geometric Brownian Motion Dalam Memprediksi Harga Minyak Mentah Pada Masa Pandemi Covid-19, Feby Seru, Christian Dwi Suhendra, Agung Dwi Saputra

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Minyak mentah atau crude oil memiliki peranan yang vital dalam pertumbuhan ekonomi suatu negara, karena minyak mentah merupakan sumber energi penggerak perekonomian. Untuk menjaga kestabilan perekonomian, maka harga minyak mentah pada periode mendatang perlu diantisipasi dengan cara melakukan prediksi terhadap harga komoditas minyak mentah dunia. Salah satu model yang dapat digunakan untuk memprediksi harga minyak mentah dalam jangka waktu pendek adalah Geometric Brownian Motion (GBM). Tujuan dari penelitian ini adalah mengimplementasikan model GBM dalam memprediksi harga minyak mentah di masa pandemi Covid-19, serta mengukur keakuratan model tersebut. Pada penelitian ini, prediksi harga minyak menggunakan model GBM dilakukan dengan 50, 100, …

Analisa Kestabilan Bebas Kecanduan Pada Penyebaran Penggunaan Media Sosial Berdasarkan Model Searqs, Ratna Widayati, Intrada Reviladi

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Penelitian ini membahas mengenai model penyebaran penggunaan media sosial dan analisa kestabilan di sekitar titik ekuilibrium serta simulasi numeriknya dengan mengasumsikan populasi individu dibagi menjadi 5 kelas yaitu individu yang rentan terhadap kecanduan media sosial, individu yang menggunakan media sosial tetapi belum timbul kecanduan, individu kecanduan/adiktif media sosial, individu sembuh dari kecanduan media dan individu yang berhenti menggunakan media sosial. Model matematika yang digunakan adalah SEARQS dengan asumsi tidak ada kematian karena kecanduan media sosial. Selain itu, individu yang telah berhenti dari kecanduan media sosial, dapat kembali menjadi individu rentan. Permasalahan yang timbul dari penyebaran penggunaan media sosial yang berlebihan …

Analisis Sentimen Terhadap Kalimat Finansial Pada Fiqa Dan The Financial Phrasebank, Maximilianus Noel Brilianto, Yuliana Susanti, Etik Zukhronah

PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika

Analisis sentimen atau bisa disebut juga opinion mining merupakan salah satu tugas utama dari Natural Language Processing (NLP) yang merupakan studi komputasi yang mempelajari tentang pendapat seseorang terhadap suatu topik bahasan atau entitas. Analisis dilakukan dengan algoritma machine learning (pembelajaran mesin) Naïve Bayes, Decision Tree, dan K-Nearest Neighbor dengan membagi sentimen ke dalam dua kategori sentimen yaitu sentimen positif dan sentimen negatif. Data analisis diambil dari Financial Opinion Mining and Question Answering (FiQA) dan The Financial PhraseBank yang terdiri dari 4.840 kalimat yang dipilih dari berbagai berita keuangan dan dianotasi oleh 16 annotator berbeda yang berpengalaman dalam domain finansial. Penelitian …

Analyzing A Smartphone Battle Using Bass Competition Model, Maila Hallare, Alireza Hosseinkhan, Hasala Senpathy K. Gallolu Kankanamalage

CODEE Journal

Many examples of 2x2 nonlinear systems in a first-course in ODE or a mathematical modeling class come from physics or biology. We present an example that comes from the business or management sciences, namely, the Bass diffusion model. We believe that students will appreciate this model because it does not require a lot of background material and it is used to analyze sales data and serve as a guide in pricing decisions for a single product. In this project, we create a 2x2 ODE system that is inspired by the Bass diffusion model; we call the resulting system the Bass …

Intelligent Security System In A Campus Building Using Rfid To Improve Security For Elevator Users, D. Desmira, Mustofa Abi Hamid, Lilis Noviawati, Tb. Ai Munandar, M. Martias, Didik Aribowo

Elinvo (Electronics, Informatics, and Vocational Education)

This study aims to develop an intelligent system of elevator access with RFID (Radio Frequency Identification) using fuzzy logic as an intelligent system, a safety controller of elevator doors that will open when the power goes out. This research made an Arduino Uno-based elevator access system with an RFID card using fuzzy logic as an intelligence system and markers for each floor. Each floor has an RFID card that contains the information data of each floor. This research uses research and development (R&D) methods with a waterfall development model. The research procedure consists of several stages, namely the requirement analysis …

Maurer Environmental Law Expert Is Lead Author On Science Insights Policy Forum Article, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

Environmental champions and conservationists will mark the 50th anniversary of the Endangered Species Act later this month. That is the law requiring federal agencies to use all methods necessary to prevent extinctions and ensure that federal actions not jeopardize the continued existence of species on the brink of disappearing from the face of the Earth.

In the leadup to the December 27th anniversary, several publications have begun examining the Act’s history and impact over five decades.

Science, the world’s third-most influential scholarly journal based on Google Scholar citations, invited experts from around the country to look ahead as well …

Comparison Of Convolutional Neural Network Architecture On Detection Of Helmet Use By Humans, H. Hartatik, Muhammad Khoirul Anam

Elinvo (Electronics, Informatics, and Vocational Education)

The helmet is one of the protective equipment for the head when driving. Although it is a protector, some criminals misuse helmets to disguise their identities, such as robbery at ATMs. Some places have put a sticker not to wear a helmet in the ATM room. However, this advice is often violated. The research adopted the Convolutional Neural Network (CNN) algorithm to identify humans who use helmets and do not use helmets based on digital images. Several CNN models, such as MobileNet-V2, ResNet-50, and VGG-16, were compared in performance. The experiment was carried out using a dataset consisting of 3,207 …

Classification Of Organic And Inorganic Waste Types Based On Neural Networks, Fatchul Arifin, M. Habiburrahman, Wahyu Ramadhani Gusti

Elinvo (Electronics, Informatics, and Vocational Education)

Garbage is the residue of unused industrial production and household consumption. In Indonesia, waste is divided into 2 types, namely organic and inorganic waste. The two types of waste can be recycled in diverse ways, so they must be separated. So far, it is often difficult for the community to sort waste. This paper presents the process of recognizing and sorting waste automatically by utilizing Artificial Intelligence technology, especially Artificial Neural Networks (ANN). The ANN architecture used in this study consists of 4 layers. The number of neurons in each layer consists of 3 neurons in the input layer, 4 …

Classification Of Beef And Pork Images Based On Color Features And Pseudo Nearest Neighbor Rule, Ahmad Awaluddin Baiti, Muhammad Fachrie, Saucha Diwandari

Elinvo (Electronics, Informatics, and Vocational Education)

This research is motivated by the need for halal foods in Muslim society with the purpose of avoiding non-halal foods, such as pork, that are sold in the market. Although beef and pork basically have different characteristics, not all Muslims know the differences. Moreover, people nowadays sell beef mixed with pork to obtain more profits. Hence, this paper proposed the implementation of the Pseudo-Nearest Neighbor Rule (PNNR) in classifying images of beef and pork slices based on color features. Based on the image dataset that has been collected, the very significant difference that can be identified visually between beef and …

Machine Learning System Implementation Of Education Podcast Recommendations On Spotify Applications Using Content-Based Filtering And Tf-Idf, Muhammad Mukti Raharjo, Fatchul Arifin

Elinvo (Electronics, Informatics, and Vocational Education)

Spotify, this popular music and podcast streaming service, has a fundamental problem in assisting clients in finding podcasts that fit their interests. Thus, the goal of this project is to develop a podcast recommendation system that would enhance users' capacity to identify pertinent content, particularly in the educational genre. By using content-based filtration techniques, this system analyzes the user's listening preferences and interests before recommending educational podcasts. The podcast data source is Spotify, and the suggestions are produced using the TF-IDF and Cosine Similarity techniques. The recommendations provide a list of educational podcasts catered to the user's specific interests. The …

Decision Support System For Major Selection In Higher Education For Multimedia Graduate Students Using Fuzzy Mamdani Logic, Khasna Nur Fauziah, Fatchul Arifin

Elinvo (Electronics, Informatics, and Vocational Education)

Students at the vocational high school level are indeed prepared to be able to work directly, but it does not rule out the possibility that vocational high school students can continue higher education such as universities. But the problem that will be faced again if students who graduate from vocational high schools choose to continue their education in college is what major they will take. One of the vocational high school majors, namely Multimedia, has a wide scope, so grade 3 vocational high school students who want to go to college have a dilemma in deciding on a major. This …

Implementation Of Fdss (Fuzzy Decision Support System) Sugeno Model In Optimizing Bandwidth Requirement Management Of Web-Based Networks, Indah Wardati Lahiya, Fatchul Arifin

Elinvo (Electronics, Informatics, and Vocational Education)

To increase the efficacy of bandwidth allocation at PT. Digdaya Monokrom Group, this study describes the development of a Fuzzy Decision Support System (FDSS) utilizing the Sugeno methodology. The Waterfall development process is employed for the purposes of system planning, construction, and maintenance. The study consists of three primary stages: the creation of fuzzy sets, the development of fuzzy rules, and the process of defuzzification. The study findings demonstrate that the utilization of FDSS has effectively improved the distribution of bandwidth. The distribution has shifted from a uniform one to a more optimized allocation, focusing on the Execution, Content Creator, …

Analysis Of Community-Based Pattern Of Water Demand And Supply, Ishaku Dibal Joshua, Abdullahi Chado Salihu, Ayuba Musa Mshelia, Nchedo Nnedinma Ubachukwu

Journal of Environmental Science and Sustainable Development

Gombi rural community of Adamawa state, Nigeria, has witnessed significant growth in human population, which has contributed to an increase in water demand. Thus, the study analyzed water demand and supply patterns in Gombi communities of Adamawa State, Nigeria. A structured questionnaire was used for data collection. Descriptive statistics such as mean and percentages and inferential statistics like Analysis of Variance (ANOVA), chi-square, and linear regression were adopted for the analysis. The results on socioeconomic characteristics showed that the majority were females, with low household income levels, large household sizes, and in their active ages. Hand-dug well water was the …

Measuring The Performance Of Sdgs In Provincial Level Using Regional Sustainable Development Index, Nurafiza Thamrin, Ika Yuni Wulansari, Puguh Bodro Irawan

Journal of Environmental Science and Sustainable Development

Measuring the national and sub-national progress in achieving such globally adopted development agendas as Sustainable Development Goals (SDGs) is particularly challenging due to data availability and compatibility of indicators to measure SDGs, especially in Indonesia. This paper attempts to measure the performance of sustainable development at the regional level in Indonesia by newly constructing a multidimensional composite index called the Regional Sustainable Development Index (RSDI). RSDI comprises four dimensions, covering comprehensive economic, social, environmental, and governance indicators. By applying factor analysis, the paper assesses the uncertainty of RSDI and the sensitivity of its composing indicators, then further investigates the relationship …

Conversion Of Cellulose To 5-Hydroxymethylfurfural As Sustainable Energy: A Bibliometric Analysis By Vosviewer, Royyan Faradis, Ardiansyah Bagus Suryanto, Irmina Kris Murwani

Journal of Environmental Science and Sustainable Development

The developments of the global economy and society impact resources and the environment. This condition requires an alternative to find new, safe, and sustainable energy types. The conversion of cellulose to 5-hydroxymethylfurfural (5-HMF) has become a significant area of research interest. It has triggered the development of research directions related to biomass and energy because it can be an intermediary source for making polymers, solvents, pharmaceuticals, and biofuels. The primary objective of this study is to give a bibliometric analysis of 1753 reports on the development of research on cellulose conversion to 5-HMF from 1965 to 2021. The data were …

Differences In Software Usability Level Based On User Background, Abdur Rohman Sholeh, Agung Fatwanto

Elinvo (Electronics, Informatics, and Vocational Education)

The development of software must consider usability as one of its key success indicators. Relatively few studies discuss the factors influencing usability, including users' backgrounds. The purpose of this research was to investigate the impact of user background, specifically gender, class (year of college admission), and frequency of use on the rating of usability. This research utilized a descriptive quantitative method with instruments: the usability matrix of the Computer System Usability Questionnaire (CSUQ), the System Usability Scale (SUS), the Usability Metric for User Experience (UMUX), and the Net Promoter Score (NPS). The research object was the Learning Management System (LMS) …

Lora Gateway Coverage And Capacity Analysis For Supporting Monitoring Passive Infrastructure Fiber Optic In Urban Area, I Ketut Agung Enriko, Fikri Nizar Gustiyana, Gede Chandrayana Giri

Elinvo (Electronics, Informatics, and Vocational Education)

In the era of digital transformation, telecommunications infrastructure has become the backbone of global connectivity. Optical Distribution Cabinet (ODC) is a crucial part of an optical network that distributes signals to various points in the network. Maintenance and monitoring of ODCs have become essential to ensure optimal availability and performance. However, conventional approaches are often expensive and difficult to implement. The objective of this study is to develop a LoRaWAN network with the purpose of determining the required number of gateways. Additionally, the research aims to devise an IoT-basedODC device monitoring system within the FTTH network, utilizing data from PT. …

Design And Development Of Industrial Practice Monitoring And Assessment Systems Using Tsukamoto Fuzzy Logic, Tri Yuli Pahtoni, Fatchul Arifin

Elinvo (Electronics, Informatics, and Vocational Education)

Vocational high schools are given flexibility for their students to carry out direct learning in the industry as part of the practical education activities of implementing student skills. The implementation of industrial practice requires a special way to find out and monitor each student's activities so that the achievements of the implementation of industrial practice can be carried out properly. The implementation of industrial work practice assessment has several assessment criteria. These criteria include attendance, neatness, attitude, skills, and knowledge. The problems found in the assessment system are still done manually so that the effectiveness is minimal. This study aims …

The Determination Of A Place Of Popular Tourism On The Island Of Madura Using Weighted Product (Wp), Sigit Susanto Putro, Eka Malasari Rochman, Aery Rachmad

Elinvo (Electronics, Informatics, and Vocational Education)

This research explored the diverse aspects of Madura Island, including its cultural, societal, and touristic facets. The primary focus was on developing a recommendation system to identify Madura's most popular tourist destinations. Utilizing the Weighted Product (WP) method, a decision support system model, this study assessed the popularity of various tourist attractions in Madura, aiding tourists in selecting destinations through a multi-criteria weighting process. Key parameters included the number of both foreign and local visitors, proximity to the city center, and visitor ratings. The study encompassed 62 tourist sites across four districts in Madura, evaluating the most popular attractions in …

Salt Sales Prediction Using The Moving Average Method (A Case Study Of Madura-Indonesia Salt), Muhammad Ali Syakur, Yudha Dwi Putra Negara, Aeri Rachmad, Eka Mala Sari Rochman

Elinvo (Electronics, Informatics, and Vocational Education)

Forecasting is a term used to forecast or predict the business that we run to see the direction in the future which uses historical data as the main reference. An appropriate strategy is needed to manage the production of salt raw materials properly, namely through sales forecasting. PT Budiono Madura Bangun Persada is a company engaged in salt processing with the brands "Anak pintar (AP)" and "Kapal Container (KC)" where the amount of production experiences uncertainty, namely an increase or decrease, this results in an uncertain amount of raw materials. This study aims to predict the exact amount of salt …

Visitor Decision System In Selection Of Tourist Sites Based On Hybrid Of Chi-Square And K-Nn Methods, Devie Rosa Anamisa, Fifin Ayu Mufarroha, Achmad Jauhari

Elinvo (Electronics, Informatics, and Vocational Education)

Madura Island is one of the islands with a lot of tourism spread over four districts, such as natural, religious, and cultural tourism. And every year, various visitors visit various tourist sites in Madura, so an increase in the number of visitors has been found in multiple places. This is influenced in addition to the type of tourist attraction but also changes in tourist behavior in making decisions to visit tourist objects. Most of the researchers have applied the right decision-making with intelligence-based measurement. However, the accuracy obtained has not yet reached the optimal solution. Therefore, this study uses the …

Role Of Urban Parks In Carbon Sequestration– A Case Study Of Safari Park, Karachi, Pakistan, Amna Bano, Minzah Shehzad, Hasnain Kazmi, Jamshaid Iqbal

Journal of Bioresource Management

Urban parks besides their recreational use can be the potential source of climate mitigation through carbon sequestration. Present study aims to identify the carbon sequestration potential of Safari Park which is by far the largest public park of Karachi established in 1970 covering an area of 0.72 km². A total of 153 individual trees belonging to 25 species and 14 families were included in the study. Five dominant species with highest Important Value Index (IVI) were Cocos nucifera (14.62 %), Azadirachta indica (14.21 %), Guaiacum officinale (9.93 %), Washington robusta (9.31 %) and Delonix regia (7.11 %). The …

The Effect Of Walnut Shell Ash On The Properties Of Cement Paste And Mortar: A Study On Partial Replacement Of Cement, Ali Shebli, Jamal Khatib, Adel Elkordi

BAU Journal - Science and Technology

In the pursuit of a more sustainable future, the utilization of agricultural waste in cementitious products has emerged as a popular and effective solution. The current study explores the feasibility of incorporating ash derived from walnut nutshells, considered agro residues, into eco-friendly blended cement paste and mortars to examine its impact on their properties. A range of blended cement mixtures was formulated by incorporating walnut shell ash (WSA) in three varying proportions of 5%, 10%, and 15% relative to the weight of the cement. Tests were conducted to investigate the properties of the blended cement paste and mortar incorporating WSA, …

Towards Digital Twins For Optimizing Metrics In Distributed Storage Systems - A Review, May Itani, Layal Abu Daher, Ahmad Hammoud

BAU Journal - Science and Technology

With the exponential data growth, there is a crucial need for highly available, scalable, reliable, and cost-effective Distributed Storage Systems (DSSs). To ensure such efficient and fault tolerant systems, replication and erasure coding techniques are typically used in traditional DSSs. However, these systems are prone to failure and require different failure prevention and recovery algorithms. Failure recovery of DSS and data reconstruction techniques take into consideration different performance metrics optimization in the recovery process. In this paper, DSS performance metrics are introduced. Several recent papers related to adopting erasure coding in DSSs are surveyed together with highlighting related performance metrics …

Molybdenum Versus Tungsten Based Polyoxometalates For Highly Effective Methylene Blue Removal, Roula Abi Saad, Ghassan Younes, Mohammad H. El- Dakdouki, Rami Al-Oweini

BAU Journal - Science and Technology

[SiW₁₂O₄₀]^4-(SiW₁₂) and [Mo₈O₂₆]^4- (Mo₈) were synthesized and characterized by Fourier Transform Infrared spectroscopy (FTIR). The prepared polyoxometalates were studied as potential adsorbents for the removal of methylene blue (MB) from an aqueous solution. Various operational parameters—contact time, adsorbent dose, initial dye concentration, pH, and temperature— were meticulously assessed by UV/Vis spectrophotometry to study its impact on the adsorption efficacy. An inverse relationship was observed between the percentage dye removal and the initial dye concentration, highlighting the complexes' superior adsorption capabilities under lower dye loads. The …