The main problem that occurs with people with hearing impairment is the difficulty of communicating, both among fellow deaf and non-hearing impaired. This difficulty is caused by not all non-hearing impairments have skills in using sign language such as the Sistem Isyarat Bahasa Indonesia (SIBI). The presence of a SIBI dictionary cannot be used practically and less effective if people want to translate sentences to sign language. The goal that will be achieved in this research is to create assistive applications that can change the speech in form of sentences into SIBI so that it can facilitate communication between people with hearing impairment and people with non-hearing impairment. The specific target to be achieved in this research is the creation of an android application that can change the speech in form of sentences into SIBI using morphological analysis with modification of the Enhanced Confix Stripping (ECS) stemming algorithm. The method used consists of literature studies and requirement analysis, Android Speech API integration, parsing the sentence (through morphological analysis with modification of the ECS stemming algorithm), creating SIBI video datasets, testing algorithms, and testing overall. The results showed that the average accuracy of the Android Speech API is 94.06%, the average accuracy rate of morphological analysis with modification of the ECS stemming algorithm is 95%, and the overall level of conformity is 80,71%. These results indicate that overall the speech translator into SIBI is working very well.

Morphological Analysis of Speech Translation into Indonesian Sign Language System (SIBI) on Android Platform

Quality of website service becomes part of branding. Through the evaluation can be found the root of the problem and then find a solution. In this research, 92.3 MQ FM Jogja radio website was evaluated for website development. The method used in this study is a WebQual Improvement, taken from previous researchers then variables adjusted to the type of website. Through focus group decision with radio managers and radio website developers, stated that the results of the study are in accordance with the conditions that occur. Where complementary relationship and usability variables affect the interest of users in accessing the website. From the results of questionnaires data distributed to loyal radio listeners and the general public, drawn into the Importance Performance Analysis (IPA) diagram, with the aim of obtaining priority services that must be addressed immediately. In quadrant I shows 2 problems, ie on hope of off-air and download pages, and radio program list page. User expectations are constrained to be realized because the website system used is not supported to add these features.

https://iopscience.iop.org/article/10.1088/1742-6596/1140/1/012051/pdf

Analysis of Quality from Users Perspective for Develop Website

The Quran search system is a search system that was built to make it easier for Indonesians to find a verse with text by Indonesian pronunciation, this is a solution for users who have difficulty writing or typing Arabic characters. Quran search system with phonetic similarity can make it easier for Indonesian Muslims to find a particular verse.  Lafzi was one of the systems that developed the search, then Lafzi was further developed under the name Lafzi+. The Lafzi+ system can handle searches with typo queries but there are still fewer variations regarding typing error types. In this research Lafzi++, an improvement from previous development to handle typographical error types was carried out by applying typo correction using the autocomplete method to correct incorrect queries and Damerau Levenshtein distance to calculate the edit distance, so that the system can provide query suggestions when a user mistypes a search, either in the form of substitution, insertion, deletion, or transposition. Users can also search easily because they use Latin characters according to pronunciation in Indonesian. Based on the evaluation results it is known that the system can be better developed, this can be seen from the accuracy value in each query that is tested can surpass the accuracy of the previous system, by getting the highest recall of 96.20% and the highest Mean Average Precision (MAP) reaching 90.69%. The Lafzi++ system can improve the previous system.

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Typo handling in searching of Quran verse based on phonetic similarities

Hadith has several levels of authenticity, among which are weak (dhaif), and fabricated (maudhu) hadith that may not originate from the prophet Muhammad PBUH, and thus should not be considered in concluding an Islamic law (sharia). However, many such hadiths have been commonly confused as authentic hadiths among ordinary Muslims. To easily distinguish such hadiths, this paper proposes a method to check the authenticity of a hadith by comparing them with a collection of fabricated hadiths in Indonesian. The proposed method applies the vector space model and also performs spelling correction using symspell to check whether the use of spelling check can improve the accuracy of hadith retrieval, because it has never been done in previous works and typos are common on Indonesian-translated hadiths on the Web and social media raw text. The experiment result shows that the use of spell checking improves the mean average precision and recall to become 81% (from 73%) and 89% (from 80%), respectively. Therefore, the improvement in accuracy by implementing spelling correction make the hadith retrieval system more feasible and encouraged to be implemented in future works because it can correct typos that are common in the raw text on the Internet.

/pdf/improving-document-retrieval-with-spelling-correction-for-1y57hdst5h.pdf

Improving Document Retrieval with Spelling Correction for Weak and Fabricated Indonesian-Translated Hadith

The holy Quran as a scripture and the source of law must be believed by more than one billion Muslim in the world. To be a good Muslim, someone must be able to understand the contents of the Quran and underlie all of their activity to the guidance that is in the Quran. However, the holy Quran is scripture that is very long document and derived in Arabic. Thus it can cause ordinary people those who do not understand Arabic find it increasingly difficult to find specific topics to learn the contents content of the Qur'an. This research aims to develop a web-based verse search system for Al-Qur'an. This paper proposed Quran information retrieval software which is integrated with clustering algorithm to ease Muslim to discover the relevant information in Quran verse by grouping the Quran verse into their own similar group. This proposed hybrid Quran information retrieval is composed of two main parts namely Quran indexing and Quran information searching.

A Hybrid Information Retrieval for Indonesian Translation of Quran by Using Single Pass Clustering Algorithm

This study attemp to build Smart Digital Library to be used by the wider community wherever they are. The system is built in the form of Smart Digital Library portal which uses semantic similarity method (Semantic Similarity) to search journals, articles or books by title or author name. This method is also used to determine the recommended books to be read by visitors of Smart Digital Library based on testimony from a previous reader automatically. Steps being taken in the development of Smart Digital Library system is the analysis phase, design phase, testing and implementation phase. At this stage of the analysis using WebQual for the preparation of the instruments to be distributed to the respondents and the data obtained from the respondents will be processed using Quality Function Deployment. In the analysis phase has the purpose of identifying consumer needs and technical requirements. The analysis was performed to a digital library on the web digital library Gunadarma University, Bogor Institute of Agriculture, University of Indonesia, etc. The questionnaire was distributed to 200 respondents. The research methodology begins with the collection of user requirements and analyse it using QFD. Application design is funded by the government through a program of Featured Universities Research by the Directorate General of Higher Education (DIKTI). Conclusions from this research are identified which include the Consumer Requirements of digital library application. The elements of the consumers requirements consists of 13 elements and 25 elements of Engineering Characteristics digital library requirements. Therefore the design of digital library applications that will be built, is designed according to the findings by eliminating features that are not needed by restaurant based on QFD House of Quality.

https://iopscience.iop.org/article/10.1088/1742-6596/818/1/012004/pdf

User Requirements Analysis for Digital Library Application Using Quality Function Deployment.

This paper discusses other ways that can be used to obtain information on the translation of Indonesian Alqur’an and hadith that is by using Information Retrieval Technique which the process is tokenizing, stopword removal and steamming. The stemming method used in this study is ECS (Enhance Confix Stripping). The database consists of hadith documents Bukhori Muslim numbered 7008 number of traditions and Al Quran translation 30 Juz from the Ministry of Religious Affairs of the Republic of Indonesia. The resulting system can speed up the search process on the Indonesian translation of the Qur’an and Hadith and obtain relevant information.

Informatian Retrieval of Indonesian Translated version of Al Quran and Hadith Bukhori Muslim

Information Retrieval (IR) merupakan pencarian informasi yang biasanya dalam suatu teks dokumen. Pada penelitian ini membahas IR terhadap Al Quran terjemahan Bahasa Indonesia Korpus sinonim (tesaurus) dibentuk untuk mendukung information retrieval agar hasil pencarian menjadi lebih luas. Metode yang digunakan adalah TF-IDF Vector Space Model (VSM) dengan pengembangan pada pembobotan keyword dan proses kueri, yaitu hasil kueri yang menjadi peringkat satu pada hasil pencarian information retrieval dijadikan kueri untuk proses pencarian selanjutnya. Cosine similarity digunakan untuk perhitungan kemiripan dokumen. Pembentukan basis data korpus sinonim (tesaurus) dilakukan dengan cara mengembangkan suatu sistem agar dapat dilakukan secara otomatis. Pengujian dilakukan dengan menguji pencarian ayat Al Quran dalamaplikasi information retrieval dan membandingakan hasil pencarian aplikasi dengan pendapat pakar Al Quran dan Hadist. Persentase keberhasilan pengujian dengan menggunakan 1 kata mencapai 100%. Keberhasilan pencarian pengujian menggunakan lebih dari 1 kata atau sebuah kalimat, pada 10 peringkat teratas dari dokumen yang ditemukan, keberhasilan mencapai 95,6%. Penelitian initelah membuktikan bahwa information retrieval dengan menggunakan korpus sinonim(tesaurus), dan penambahan bobot kata dari keyword pertama yang dicari menambah tingkat relevan, karena secara signifikan memperluas hasil pencarian dan mengeliminir dokumen yang tidak relevan.

Penerapan Algoritma TF-IDF Vector Space Model (VSM) Pada Information Retrieval Terjemahan Al Quran Surat 1 Samai Dengan Surat 16 Berdasarkan Kesamaan Makna

Lily Wulandari

Papers

User Requirements Analysis for Digital Library Application Using Quality Function Deployment.

Informatian Retrieval of Indonesian Translated version of Al Quran and Hadith Bukhori Muslim

Penerapan Algoritma TF-IDF Vector Space Model (VSM) Pada Information Retrieval Terjemahan Al Quran Surat 1 Samai Dengan Surat 16 Berdasarkan Kesamaan Makna