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All Journal Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) JURNAL MEDIA INFORMATIKA BUDIDARMA JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) TEKNOLOGIA Jurnal Linguistik Komputasional Building of Informatics, Technology and Science Journal of Data Science and Its Applications eProceedings of Engineering
Al Faraby, Said
Fakultas Informatika, Universitas Telkom, Bandung
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering

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Prediksi Tingkat Inflasi Di Indonesia Berbasis Jaringan Syaraf Tiruan Dan Algoritma Genetika Rita Rismala; Said Al Faraby
Indonesia Symposium on Computing Indonesian Symposium on Computing 2014/Seminar Nasional Ilmu Komputasi Teknik Informatika (SNIKTI)
Publisher : Indonesia Symposium on Computing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Inflasi menjadi indikator yang sangat penting dalam menganalisis perekonomian negara. Oleh karena itu prediksi terhadap nilai inflasi menjadi penting agar dapat membantu pemerintah dalam mengambil kebijakan untuk menjaga stabilitas moneter dan perekonomian. Pada penelitian ini dilakukan prediksi tingkat inflasi di Indonesia dengan tidak hanya mempertimbangkan data historis inflasi, namun juga mempertimbangkan faktor-faktor lain yang mempengaruh tingkati inflasi di Indonesia. Prediksi dilakukan menggunakan Jaringan Syaraf Tiruan dengan menggunakan algoritma pembelajaran berbasis Algoritma Genetika. Hasil pengujian menunjukkan bahwa akurasi sistem dalam memprediksi nilai tingkat inflasi belum cukup baik. Namun dalam memprediksi kelas inflasi, sistem ini sudah cukup baik terutama dalam mengidentifikasi inflasi dengan kelas rendah.
Penerapan Question Answering System Pada Pembahasan Agama Islam Dengan Pendekatan Metode Pattern Based Rosyadi, Ramadhana; Al-Faraby, Said; Adiwijaya, Adiwijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 4 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i4.949

Abstract

Islam has 25 prophets as guidelines for human life, documents containing information about the stories of the lives of the prophets during their lifetime. This study aims to build a more specific question and answer system by generating relevant answers not in the form of documents. Question Answering System is able to overcome problems in the Question and answer system, information retrieval systems where the answers issued are correct with responses to requests submitted, not in the form of documents that may contain answers. This study uses the Pattern Based method as extracting sentence pieces which are the answers to find answers that match the patterns that have been made. The selection of datasets causes a number of questions that can be submitted to be limited to information stored in the data itself. Besides that, questions are also limited in the form of Question words that are Factoid, namely Who, when, where, what and how. Accuracy results obtained using the Pattern Based method on Question Answering System are 39.36%.
Sistem Pencarian Ayat Al-Quran Berdasarkan Kemiripan Ucapan Menggunakan Algoritma Soundex dan Damerau-Levenshtein Distance Puruhita Ananda Arsaningtyas; Moch. Arif Bijaksana; Said Al Faraby
Jurnal Linguistik Komputasional Vol 1 No 2 (2018): Vol. 1, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.631 KB) | DOI: 10.26418/jlk.v1i2.10

Abstract

Analisis dan Implementasi Metode Gabor Filter dan Support Vector Machine pada Klasifikasi Sidik Jari Intan Raharni Wijaya; Untari Novia Wisesty; Said Al Faraby
Indonesia Journal on Computing (Indo-JC) Vol. 2 No. 2 (2017): September, 2017
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2017.2.2.176

Abstract

Pengolahan citra digital semakin diminati, salah satunya pada sistem biometrik. Sistem biometrik merupakan sistem dalam pengenalan berdasarkan pola atau ciri khusus yang dimiliki makhluk hidup terutama manusia. Jenis identifikasi biometrik yang umum digunakan adalah pengenalan sidik jari. Sidik jari banyak digunakan dalam kehidupan sehari-hari selama lebih dari 100 tahun karena penerimaan yang tinggi, permanen, akurat, dan keunikan. Kelebihan sidik jari tersebut disebabkan oleh minutiae yang merupakan garis atau guratan pada sidik jari yang berbeda-beda setiap individu. Klasifikasi sidik jari secara umum terbagi menjadi dua tahap yakni ekstraksi fitur serta klasifikasi fitur.   Ektraksi fitur dapat dilakukan dengan cara filter seperti gabor filter dengan empat sudut orientasi yang berkisar 0, 45, 90 dan 135 derajat. Hasil dari ekstraksi ciri akan klasifikasi dengan tujutan identifikasi. Metode Support Vector Machine (SVM) dapat digunakan sebagai classifier untuk sistem biometrik sidik jari. SVM memiliki kernel trick yang berpengaruh pada akurasi yang dihasilkan. Digunakan SVM multiclass metode one-against-all dalam klasfikasi sidik jari untuk 25 kelas. Akurasi terbesar diperoleh oleh kernel Radial Basis Function (RBF) sebesar 73% untuk data awal dan 76% untuk penambahan data augmentasi
Classification of Hadith Topic of Indonesian Translation Using K-Nearest Neighbor and Chi-Square Ghinaa Zain Nabiilah; Said Al Faraby; Mahendra Dwifebri Purbolaksono
International Journal on Information and Communication Technology (IJoICT) Vol. 7 No. 2 (2021): December 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v7i2.573

Abstract

Hadith is the main way of life for Muslims besides the Qur'an whose can be applied in everyday life. Hadith also contains all the words or deeds of the Prophet Muhammad which are used as a source of the law of Islam. Therefore, many readers, especially Muslims, are interested in studying hadith. However, the large number of hadiths makes it difficult for readers or those who are still unfamiliar with Islam to read them. Therefore, we conducted a study to classify hadith textually based on the type of teaching, so that readers can get an overview or other reference in reading and searching for hadith based on the type of teaching more easily. This study uses KNN and chi-square methods as feature selection. We also carried out several test scenarios, including implementing stopword removal modifications in preprocessing and experimenting with selecting k values ​​for KNN to determine the best performance. The best performance was obtained by using the value of k = 7 on KNN without implementing chi-square and with stopword removal modification with a hammer loss value of 0.1042 or about 89.58% of the data correctly classified.
Multi Label Topic Classification for Hadith Bukhari in Indonesian Translation using Random Forest Adhitia Wiraguna; said al faraby; Adiwijaya Adiwijaya
Journal of Data Science and Its Applications Vol 4 No 1 (2021): Journal of Data Science and Its Applications
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/jdsa.2021.4.70

Abstract

Hadith is a mandatory thing to be studied and practiced by Muslims. There are many types of teachingsthat humans can take by studying the hadith. To assist Muslims in studying the hadith, a multi labelclassification system is needed to categorize Sahih Bukhari Hadi in Indonesian translation based on threetopics, namely prohibition, advice and information. In building a text classification system, there are variousclassification methods that can be used, in this study using Random Forest (RF). The simplicity of the RFalgorithm and good ability to deal with high dimensional data, make RF a suitable method of textclassification. But, there is not widely known RF capability for the multi label classification. This study usesthe Problem Transformation approach method, namely Binary Relevance (BR) and Label Powerset (LP)to adapt RF in building a multi label classification system. The results showed that the best hamming lossperformance obtained from a system that used BR and does not use stemming which is equal to 0,0663.These results indicate that the BR method is better than the LP method in adapting the RF algorithm toperform multi label classification of hadith data. This is happened because the BR method produces aclassification model of the number of labels in the hadith data and on the other hand, the transformation ofdata from the use of LP makes the data are imbalanced.
Sentiment Analysis of Beauty Product Reviews Using the K-Nearest Neighbor (KNN) and TF-IDF Methods with Chi-Square Feature Selection Yusrifa Deta Kirana; Said Al Faraby
Journal of Data Science and Its Applications Vol 4 No 1 (2021): Journal of Data Science and Its Applications
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/jdsa.2021.4.71

Abstract

The rise of beauty products in recent times can make consumers hesitate to choose a beauty product, especially for women. Beauty product reviews have become a very valuable source of information for consumers in making decisions to purchase a product in improving their products and marketing strategies. The process of sentiment analysis on negative and positive beauty product reviews will be classified one by one. Therefore, in this study, sentiment analysis was applied to the beauty product review data using the K-Nearest Neighbor (KNN) method to find the best k in the case of this study. The dataset used will be pre-processed with case folding, noise removal, tokenization, stemming, stopword removal, and slang words, for feature extraction using Term Frequency Inverse Document Frequency (TF-IDF) to calculate the weight of a word in the document, and The feature selection method uses Chi-Square which aims to select the features needed to increase the accuracy value. In this study, the best accuracy value was 71% of the data classified using KNN with a k value of 50 and the model on feature selection with 76 features.
IMPLEMENTASI ALIGNMENT POINT PATTERN PADA SISTEM PENGENALAN SIDIK JARI MENGGUNAKAN TEMPLATE MATCHING Try Moloharto; Said Al Faraby; Kemas Muslim Lhaksmana; Adiwijaya Adiwijaya; Muhammad Yuslan Abu Bakar
JURNAL TEKNOLOGIA Vol 1 No 2 (2019): Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (886.448 KB)

Abstract

Fingerprints is one of biometric identification system. This is because fingerprints have unique and different pattern in every human, so identification using fingerprints can no longer be doubted. But, manual fingerprint recognition by human hard to apply because of the complex pattern on it. Therefore, an accurate fingerprint matching system is needed. There are 3 steps needed for fingerprint recognition system, namely image enhancement, feature extraction, and matching. In this study, crossing number method is used as a minutiae extraction process and template matching is used for matching. We also add alignment point pattern process added, which are ridge translation and rotation to increase system performance. The system provide a performance of 18,54% with a matching process without alignment point pattern, and give performance of 67,40% by adding alignment point pattern process.
DESIGN AND ANALYSIS OF UTILIZING POMDP IN ONLINE RESERVATION SYSTEM Said Al Faraby
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 2 No. 1 (2015)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.689 KB) | DOI: 10.33197/jitter.vol2.iss1.2015.68

Abstract

System personalization is a smart way to handle interaction with various types of customers that come with different preferences. In this project we attempt to optimize the sequential decision processes during the interaction between an online hotel reservation service and its customer. We use POMDP framework to determine the best response for the system. POMDP is suitable for this problem because it takes into account the non-observability of the customer preferences, and the uncertainty of the observations that come from the customer. We present our findings regarding the potential improvement by utilizing belief information, and the sufficient level of observation certainty in order to keep the model considerably useful. We also show the resulting policies trees with the belief information in order to clarify the intuition behind the actions planned
Analisis Metode Pattern Based Approach Question Answering System Pada Dataset Hukum Islam Berbasis Bahasa Indonesia Ade Iriani Sapitri; Said Al-Faraby; Adiwijaya Adiwijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 4 (2018): Oktober 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i4.950

Abstract

Islamic law is a provision of the command of Allah SWT which has different laws. It takes a long time in the process of searching information manually given the many types of islamic law. From the above problems with the help of Question Answering System can solve the problem. The purpose of this study is to assist usesrs in finding the required information with input in the form of question with property category (OBJECT) What, (PERSON) Who, (LOCATION) Where, (TIME) When and (COUNT) How much. Research Question Answering System is implemented with the Pattern Based Approach method based on pattern classification. In this research we get the result of accuracy of answer equal 64,5% in every type of question category “What”,”When”,”How much”, “Who”, and “Where” with answer accuracy equal to 63,3%, 65%, 73,3%, 65% and 40%. From the accuracy results obtained that the method of Pattern Based Approach is able to be implemented in Question Answering System to solve the above problems
Co-Authors Ade Iriani Sapitri Ade Romadhony Adhitia Wiraguna Adhitia Wiraguna Adiwijaya Adiwijaya Adiwijaya Ananda Affan Fattahila Anisa Salama Aras Teguh Prakasa Arif Bijaksana Clarisa Hasya Yutika Denny Alriza Pratama Dian Chusnul Hidayati Eka Putri Fakhri Taufiqurrahman Febryanti Sthevanie Fuad Ash Shiddiq Ghinaa Zain Nabiilah Grace Duma Tambunan Hafizh Fauzan Hafizh Fauzan Honakan Honakan Intan Raharni Wijaya Iqbal Hapid Sukana Putra Jenepte Wisudawati Simanullang Kamal Hasan Mahmud Kemas Muslim Lhaksamana Kemas Muslim Lhaksmana, Kemas Muslim Luke Manuel Daely Mahendra Dwifebri Purbolaksono Meiditia Mustika Rani Moch Arif Bijaksana Moch. Arif Bijaksana Mochammad Naufal Rizaldi Mohamad Reza Syahziar Muhammad Ghufran Muhammad Hadiyan Wicaksono Muhammad Rizqi Choirulfikri Muhammad Taufik Wahdiat Muhammad Yuslan Abu Bakar Pratama Dwi Nugraha Puruhita Ananda Arsaningtyas Rita Rismala Rosyadi, Ramadhana Shabran Fauzan Ahmad Syifa Khairunnisa Timami Hertza Putrisanni Try Moloharto Try Moloharto Untari Novia Wisesty Wahyu Purbaningrum Winda Christina Widyaningtyas Yusrifa Deta Kirana