Analisis Kesulitan Belajar Membaca (Disleksia) Siswa Kelas III SDIT Latansa Cendekia

Education has a very important role in the progress of a nation. This research aims to reveal the history and development as well inclusive education problems. Inclusive schools provide appropriate educational programs, challenging, but appropriate to each student's abilities and needs as well as assistance and the support that teachers can provide so that children are successful. Method The research used in this research is descriptive qualitative. Data results were obtained from observations and interviews. By interviewing class III teachers at SDIT Latansa Scholar, this was done using a guide interview to get information about inclusive education at SDIT Latansa School. From the results of observations and interviews, the inclusion of students at this school is good, there are students who can carry out their own activities, but there is still assistance from the teacher. By joining a regular (non-special school) school, it provides an opportunity for them to be able to socialize with children who are growing normally to help the child's emotional development so that they do not become inferior children, and even consider themselves the same as other children. This is the basis on which inclusive education is implemented

Automated Vision Based Defect Detection Using Gray Level Co-Occurrence Matrix For Beverage Manufacturing Industry

Defect inspection emerged as an important role for product quality monitoring process since it is a requirement of International Organization for Standardization (ISO) 9001. The used of manual inspection is impractical because of time consuming, human error, tiredness, repetitive and low productivity. Small and medium enterprises (SMEs) are industries that having problems in maintaining the quality of their products due to small capital provided. Therefore, automatic inspection is a promising approach to maintain product quality as well as to resolve the existing problems related to delay outputs and cost burden. This article presents a computerized analysis to detect color concentration defects that occur in beverage production based on texture information provided by gray level co-occurrence matrix (GLCM). Based on the texture information, GLCM cross-section is computed to extract the parameters for features of color concentration. The distance value between two colors is then computed using co-occurrence histogram. The defect results either pass or reject is determined using Euclidean distance and rule-based classification. The experimental results show 100% accuracy which makes the proposed technique can implimented for beverage manufacturing inspection process

ANALYSIS OF SOCIAL MEDIA MARKETING ACTIVITIES ON CUSTOMER RESPONSE THROUGH BRAND EQUITY ON DEAR ME BEAUTY

Purpose -This study analyzes the effect of social media marketing activities on customer response through brand equity in Dear Me beauty. A survey was conducted with 100 respondents who participated in and used Dear me beauty products.Design/Methodology/Approach-The method used in this research is quantitative with descriptive and casual research. The sampling technique used is non-probability sampling with purposive sampling and multiple regression analysis with 100 respondents.Findings - Based on the results of descriptive analysis, social media marketing activities and brand equity are included in the very good category. Meanwhile, consumer responses are in a good category. The results show that social media marketing influences brand equity and consumer response. Furthermore, brand equity influences consumer response. Lastly, social media marketing influences consumer response through brand equity.Value-This research uses different theories such as Kotler & Keller's theory of brand equity dimensions

A systematic review of butterfly pea flower (Clitoria ternatea L.): extraction and application as food freshness pH-indicator for polymer-based intelligent packaging

The butterfly pea flower (Clitoria ternatea L.) (BPF) has high anthocyanin content, which can be incorporated into polymer-based films to produce intelligent packaging for real-time food freshness indicators. The objective of this work was to review systematically the polymer characteristics used as the BPF extract carriers and their application on various food products as intelligent packaging systems. This systematic review was developed based on the scientific reports accessible on the databases provided by PSAS, UPM and Google Scholar between 2010 to 2023. It covers the morphology, anthocyanins extraction, and applications of anthocyanins-rich colourants from butterfly pea flower (BPF) and as pH indicators in intelligent packaging systems. Probe ultrasonication ex-traction was successfully employed to extract a higher yield which showed a 246.48 better extraction of anthocyanins from BPF for food applications. In comparison to anthocyanins from other natural sources, BPF has a major benefit in food packaging due to its unique colour spectrum throughout a wide range of pH values. Several studies reported that the immobilisation of BPF in different polymeric film matrixes could affect their physicochemical properties but still effectively able to monitor the quality of perishable food in real-time. In conclusion, the development of intelligent films employing BPF's anthocyanins is a potential strategy for the future of the food packaging system

Development of semolina starch/agar-based intelligent films by incorporating butterfly pea flower anthocyanins to monitor the freshness of prawns

The natural plant-derived pH indicator film which monitors food freshness during storage has gained attention among researchers due to consumer awareness of food quality, freshness, and food safety. This study aims to develop a semolina/agar-based film (S/A) incorporated with anthocyanins from butterfly pea flower extract (BPE) as a freshness indicator for tiger prawns and freshwater prawns during 4 days of storage at 4±1 °C. The semolina/agarbased butterfly pea extract (S/A/BPE) films were developed with different concentrations of BPE (3, 6, and 9%) by casting method. Increasing BPE up to 9% in the S/A film increased the thickness and moisture content, lowering the films’ water permeability. The film also had a smoother surface structure with a darker colour. Different pH solutions (pH 2.0-12.0) also changed the colour of films, depending on the BPE concentrations. The application of S/A/BPE films on tiger prawns and freshwater prawns caused colour changes from dark blue at day 0 (fresh stage) to intense green at day 2 (beginning of spoilage) indicating the spoilage of samples. The pH values of both prawns were gradually increased. However, no major changes were observed in the texture profile analysis. These results indicate that S/A/ BPE film has the potential to be used as a pH indicator film to detect the freshness of prawn samples

Effect of curing conditions on compressive strength of FA-POFA-based geopolymer mortar

This paper presents the effect of curing conditions on geopolymer mortar prepared from the blend of palm oil fuel ash (POFA) and fly ash (FA) as full replacement of cement with a combination of sodium silicate and sodium hydroxide solution used as alkaline liquid. The density and strength of the geopolymer mortars with FA:POFA mass ratios of 70:30 together with sodium silicate solution-to-sodium hydroxide solution by mass is 2.5, are investigated. The concentration of alkaline solution used is 14 Molar. Tests were carried out on 70 × 70 × 70 mm cube geopolymer mortar specimens. The effects of curing conditions including the duration of heat curing, temperature of heat curing and delay time before heat curing on compressive strength of mortar are examined. The results revealed that as the temperature increased the compressive strength of geopolymer mortar are increases, the delay time before heat curing increased, the compressive strength of geopolymer mortar reduced and suitable duration for heat curing is within one to two days

Abstracts of the International Halal Science Conference 2023

This book presents the extended abstracts of the selected contributions to the International Halal Science Conference, held on 22-23 August 2023 by the International Institute for Halal Research and Training (INHART), IIUM, Malaysia in collaboration with Halalan Thayyiban Research Centre, University Islam Sultan Sharif (UNISSA), Brunei Darussalam. With the increasing global interest in halal products and services, this conference is timely. Conference Title:  International Halal Science ConferenceConference Acronym: IHASC23Conference Theme: Halal Industry Sustainability Through ScienceConference Date: 22-23 August 2023Conference Venue: International Islamic University (IIUM), MalaysiaConference Organizer: International Institute for Halal Research and Training (INHART), International Islamic University (IIUM), Malaysi