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Many Indonesian spelling errors occur in research papers published to the public, closely related to academics in all institutions such as research institutions, government, schools, and universities. The spelling errors usually writing punctuation, writing letters, writing words, writing words originating from foreign or regional languages (uptake words), using affixed words, and writing ineffective sentences. The mistakes made by the academics then become a cycle in the academic environment. They usually provide guidance for writing an undergraduate thesis, thesis, dissertations to students, or the other forms of documents and scientific papers. Therefore, the research proposed the application to facilitate all authors of scientific papers in producing quality scientific works based on the General Guidelines for Indonesian Spelling published by the Agency for Development and Language Development. The application is named KEBI 1.0 Checker (Indonesian Spelling Error 1.0 Checker), a web-based application with a built-in algorithm to detect and correct Indonesian Spelling in scientific papers. The experiment result shows that the application has given the best accuracy performance to correct the non-standard words, and typographical errors reached 100% and 55,52%, respectively. The application also has been detected 209 meaningless words. The application processing time is relatively low, the average time needed to correct non-standard words is 0.016 seconds, and typo words are 14.58 seconds. KEBI 1.0 Checker is helpful for the end-user in academics but needs to improve the vocabulary of the large corpus in various fields of science for correcting typo words.

COVID-19 affects significant human activity around the globe, including Bitcoin prices. The Bitcoin price is well known for its volatility, so it is not a big shocker when the panic-selling occurs during the pandemic. However, the mechanism to cope with these breakouts, especially the bearish one, is contentious. The experts give numerous pieces of advice with different conclusions in the end. It is also the same with Machine Learning. Various kernels show different results regarding how the price will move. It depends on the window size, how the data is being preprocessed, and the algorithm used. This paper inspects the best combination that various machine learning can offer with a linear approach to navigate the price prediction based on its depth interval, window size until the algorithms themselves. This paper also proposed a new approach to seeing the prediction range called s-steps ahead prediction using a linear model. The result shows that simple machine learning can herd 99.715% profit even during the bearish breakout.

Form sheet is an instrument to collect someone’s information and in most cases it is used in a registration or submission process. The challenge being faced by physical form sheet (e.g. paper) is how to convert its content into digital form. As a part of study of computer vision, Optical Character Recognition (OCR) recently utilized to identify hand-written character by learning pattern characteristics of an object. In this research, OCR is implemented to facilitate the conversion of paper-based form sheet's content to be stored properly into digital storage. In order to recognize the character's pattern, this research develops training and testing method in a Convolutional Neural Network (CNN) environment. There are 262.924 images of hand-written character sample and 29 paper-based form sheets from SDN 01 Gumilir Cilacap that implemented in this research. The form sheets also contain various sample of human-based hand-written character. From the early experiment, this research results 92% of accuracy and 23% of loss. However, as the model is implemented to the real form sheets, it obtains average accuracy value of 63%. It is caused by several factors that related to character's morphological feature. From the conducted research, it is expected that conversion of hand-written form sheets become effortless., Lembar formulir merupakan salah satu media dalam mengumpulkan informasi seseorang dan umum digunakan pada proses registrasi/pendaftaran. Penggunaan media ini cukup mudah, namun hambatan yang kerap dihadapi dari penggunaan lembar formulir berbentuk fisik (misal: kertas) adalah pemindahan konten ke dalam bentuk digital. Optical Character Recognition (OCR) merupakan salah satu segmen dalam disiplin ilmu pengolahan citra yang dapat melakukan pengenalan karakter tulisan dengan mempelajari pola karakteristik suatu objek. Pada penelitian ini, OCR diimplementasikan pada keras library untuk memfasilitasi konversi konten tulisan tangan yang ada di sebuah kertas formulir sehingga dapat disimpan ke dalam media penyimpanan digital. Dalam pola pengenalan karakter, dikembangkan model pelatihan dan pengujian dengan menggunakan Convolutional Neural Network (CNN). Data yang digunakan pada penelitian adalah 262.924 karakter sampel tulisan tangan dalam bentuk citra dan 29 sampel kertas formulir dari SDN 01 Gumilir Cilacap. Model dengan akurasi tertinggi memperoleh nilai 92% dan loss sebesar 23%. Sedangkan, pada hasil pengujian menggunakan 29 formulir didapatkan nilai akurasi rata-rata sebesar 63%. Hal ini disebabkan oleh beberapa faktor yang berkaitan dengan faktor morfologi dari citra tiap karakter huruf. Dari penelitian yang dilakukan diharapkan dapat mempermudah proses dokumentasi informasi dari lembar formulir tulisan tangan ke dalam media penyimpanan digital.

This paper aims to find out the digital Malay manuscript as a source of studies in the field of Islamic education. Malay manuscript is one of the nation's documents written manually using Arabic-Malay characters and in Malay. This means that the Malay manuscript is a stroke of the local genius of the nation and is an intellectual icon of the people of his day. But along with advances in technology, the Malay manuscript also experienced development through this technology by means of digitalization. In terms of methodology, this paper is a study of historical and cultural heritage involving Malay manuscript, so this study uses descriptive qualitative methods that are linked to analysis and interpretation and finally focuses on content analysis. At the end of the study it was found that in addition to the Quran and Hadith which are the sources of Islamic education studies, it turns out that the digital Malay manuscript can be used as the next source, because the Malay manuscript is a legacy of cultural heritage that is loaded with noble values of life such as social, political, religious, educational, culture, economics, language, literature and so on. Therefore, digital Malay manuscript is an ICT-based innovation that can be used as a source of study of Islamic education. Digital Malay manuscripts are very easy to obtain because in various places where Malay manuscripts have been digitalized, scientists can use them. In addition, digital Malay manuscripts can be accessed through the internet with various sites.

Democratic government in the world today rely on electronic voting as the foremost means of providing credible, transparent and fair elections for the electorate. There is a need for developed electronic voting systems to be security enhanced to ensure the authenticity of the developed system. Traditional paper balloting systems suffer from vote tampering, multiple voting and illegal voting by unregistered voters. They are also, susceptible to under aged voting due to the difficulty in authenticating the identity of prospective voters. Manual collation and publication of vote results also leads to slow response times and inaccuracies in published results. This research paper proposes a system to combat the current challenges through the development of a fingerprint biometric authentication system for secure electronic voting machines. It uses a fingerprint biometric sensor, integrated via Python to verify users of the system. The inclusion of biometrics improves the security features of the system. The secure voting system is built using PHP and easy to use Graphical User Interface was designed using HTML and CSS. Users are required to interact with the machine via a 7” touchscreen interface. From the results, it shows that the developed machine has a minimum response time of 0.6 seconds for specific operation, an FAR of 2%, FRR of 10% and overall system accuracy of 94%. The developed machine is able to combat the challenges of authentication of users, thereby guaranteeing the transparency, credibility, integrity and vote authenticity of the elections.

These days cyber-attack is a serious criminal offense and it is a hot debated issue moreover. A man-in-the-middle-attack is a kind of cyberattack where an unapproved outsider enters into an online correspondence between two users, remains escaped the two parties. The malware that is in the middle-attack often monitors and changes individual/classified information that was just realized by the two users. A man-in-the-middle-attack as a protocol is subjected to an outsider inside the system, which can access, read and change secret information without keeping any tress of manipulation. This issue is intense, and most of the cryptographic systems without having a decent authentication security are threatened to be hacked by the malware named ‘men-in-the-middle-attack’ (MITM/MIM). This paper essentially includes the view of understanding the term of ‘men-in-the-middle-attack’; the current work is mainly emphasized to accumulate related data/information in a single article so that it can be a reference to conduct research further on this topic at college/undergraduate level. This paper likewise audits most cited research and survey articles on ‘man-in-the-middle-attack’ recorded on 'Google Scholar'. The motivation behind this paper is to help the readers for understanding and familiarizing the topic 'man-in-the-middle attack'.

Price, consumption, and production influence global food estimation. Food consumption and food production needs improving affordability, government policy and expert proposition in decision making. Expert have developed a scenario combining direct weather impact on key grain producing regions, indirect impact through crop pathogens, consequences for markets, and stock of global food. Global food production tended to increase, meanwhile consumption under production. In Indonesia, production is under consumption. It is anomaly by global situation and world condition. Government policy is tariff, export, and import. Export food influenced by price food commodity is not stable, meanwhile food import tended to increase because by national food consumption increasing demand. Government policy and expert proposition to modern society, need Expert System is increasing rapidly. In Artificial Intelligence, Expert System is a computer system that emulates the decision making ability of a human expert. There are two reasoning strategies in Expert System: Forward Chaining and Backward Chaining. The aim of this paper is to identify which reasoning strategy system (Forward Chaining). This paper focus on the concept of knowledge representation in Artificial Intelligence and implementing of Forward Chaining on Food Affordability. Food Affordability used to planning of food in the future. Finally, Inference using Forward Chaining on Food Affordability, the result it is good and can be used to planning and policy on national food.

This paper proposes fire alarm system by implementing Naive Bayes Method for increasing smoke classifier accuracy on Internet of Things (IoT) environment. Fire disasters in the building of houses are a serious threat to the occupants of the house that have a hazard to the safety factor as well as causing material and non-material damages. In an effort to prevent the occurrence of fire disaster, fire alarm system that can serve as an early warning system are required. In this paper, fire alarm system that implementing Naive Bayes classification has been impelemented . Naive Bayes classification method is chosen because it has the modeling and good accuracy results in data training set. The system works by us ing sensor data that is processed and analyzed by applying N aive B ayes classification to generate prediction value of fire threat level along with smoke source. The smoke source was divided into five types of smoke intended for the classification process. Some experiments have been done for concept proving. The results show the use of N aive B ayes classification method on classification process has an accuracy rate range of 88% to 91%. This result could be acceptable for classification accuracy.

There are two factors that cause a disease, called Congenital and Acquired. Congenital refers to a disease a person is born with, while Acquired refers to a disease acquired after a person was born such as infection, trauma, and neoplasm. The infected person will sometimes require information on the disease before going to the doctor or a hospital. Such information may be found from a system which receives input on the symptoms and gives a clear information on the corresponding disease. This may be achieved via a system of experts, in which the expert refers to an ENT (Ear, Nose, and Throat) specialist. Such information is hoped to provide a solution on the disease. The system of ENT specialists designed and research in this paper used the certainty factor method. The method will overcome the uncertainty in decision making depending on the symptoms described by the user. This paper is successfully applied certainty factor method used as an instrument of decision making in the system of ENT specialists. The system is web-based, enabling the user to access and choose the symptoms of the disease as well as acquiring information on ENT diseases easly.

Rapidly changing in Information Technology initiates various innovation that aims to provide convenience for enterprises, organizations, and institutions. Innovation is created to ease users in completing tasks and activities. Unfortunately, easiness in innovation gives chances of fraud and disruption to happen. This paper discusses how countermeasures on those issues are done in Salatiga Library and Archive Office using 4 (four) control aspects in Information System Audit: environtment security control, physical security control, logical security control, and IS operation control. This paper use three step of method, they are: planning and preparation, implementation, and reporting. The aim of this research is to examine the Information System security level in Salatiga Library and Archive Office.

In this paper, a backpropagation neural network (BPNN) method with time series data have been explored. The BPNN method to predict the foreign tourist’s arrival to Indonesia datasets have been implemented. The foreign tourist’s arrival datasets were taken from the center agency on statistics (BPS) Indonesia. The experimental results showed that the BPNN method with two hidden layers were able to forecast foreign tourist’s arrival to Indonesia. Where, the mean square error (MSE) as forecasting accuracy has been indicated. In this study, the BPNN method is able and recommended to be alternative methods for predicting time series datasets. Also, the BPNN method showed that effective and easy to use. In other words, BPNN method is capable to producing good value of forecasting.Keywords - BPNN; foreign tourists; BPS; MSEPemanfaatan backpropagation neural network (BPNN) dengan data deret waktu telah digunakan dalam paper ini. Metode BPNN telah digunakan untuk memprediksi data kedatangan turis asing ke Indonesia, dimana data turis tersebut diambil dari badan pusat statistik Indonesia (BPS). Hasil pengujian menunjukkan bahwa metode BPNN dengan dua lapisan tersembunyi mampu memodelkan dan meramalkan data kedatangan turis asing ke Indonesia yang diindikasikan dengan nilai mean square error (MSE). Penelitian ini merekomendasikan bahwa metode BPNN mampu menjadi alternative metode dalam memprediksi data yang berjenis deret waktu karena metode BPNN efektif dan lebih mudah digunakan serta mampu menghasilkan akurasi nilai peramalan yang baik.

Energy audit is one of the first tasks to be performed in the accomplishment of an effective energy cost control program. To obtain the best information for a successful energy audit, the auditor must make some measurements during the audit visit. One of the tools that primarily used in audit visit is the portable Power Quality Analyzers (PQA) for measuring single to three-phase lines with a high degree of precision and accuracy. It is utilized for monitoring and recording power supply anomalies. For most survey applications, changing currents makes it mandatory for data to be compiled over a period of time with enormous amount of electricity data. Hence, this paper proposed a Business Intelligence approach that can facilitate the auditor to quickly analyze the PQA data. There are five Key Performance Indicators (KPI) to be displayed for analyze in form of dashboard. The method that uses to construct the dashboard is classification and association rules with the help of orange dataminer tools. Classification method is utilized to display the data distributions by frequency on a bar chart. Once we got the frequent sets, they allow us to extract association rules among the item sets, where we make some statement about how likely are two sets of items to co-occur or to conditionally occur. The result of this paper is a dashboard of five scorecards, namely unbalanced voltage, unbalanced currents, voltage harmonic, currents harmonic, and power factor.

This paper will not discuss about the development of the county in economic, political and other, but specialize discussion n interpretation development and their interpreter. As for the interpreter to be targeted, for a more comprehensive description, the author here does not follow the rules of previous papers, this is only by focusing to the original Arabian’s interpreter, but also in al-mufassirûn al-wâfidûn, which in not a Arabian, but they wrote an interpretation on the state. At the end of the paper, the author conclude tat work of interpretation in the country of Saudi of Arabia in general using the al-tahlîlî with fiqhî style and i‘tiqadî. In term of methodology, in the county of Saudi Arabia patterned in wahabism an it is no so let the flexibility ration other than in accordance with what has been laid down by generation of salaf al-sâlih so that the interpretation in Saudi Arabia tend let behind than Egypt which more let the use of ratios.

One of the functions of the Department of Human Settlement and Housing Spatial Pontianak is directly related to community planning is the provision of advice to the people who will be building in the city of Pontianak to fit the layout plan Pontianak city. However, in the delivery of planning advice, as the applicant community must come directly to the office of the Department of Human Settlements, and Housing Spatial Pontianak and front office personnel meet. This condition would reduce the efficiency of the time because they have to provide the information and explanations individually to each applicant who comes and front office personnel are still using analogue map in the form of a sheet of paper with the scale of 1:70000. Data search is still done manually by collecting it from multiple sources. Under the proposed conditions built "Geographic Information Systems and Spatial Planning Web-Based Building in the Office of Human Settlement and Housing Spatial Pontianak". The methodology used to build the "Geographic Information Systems and Spatial Building in Web-based Office of Human Settlements and Housing Spatial Pontianak" This is a method of Water Fall (waterfall cycle). Geographic information system provides time efficiency and accuracy of information in the search for a better location than using paper maps should look for the data and the location manually and provide convenience to the applicant who will erect the building for access to information about the rules and regulations of the interior of the establishment surrounding buildings Building Floor Coefficient (KLB), coefficient Building Basics (KDB) and Simpadan Line Building (GSB). This information system using ArcGIS 9.3 software to make maps, Mapscript as a module that is used to make MapServer functions and classes that can be run in PHP. As for applications using MySQL database and using the database file. Dbf of the map that was created in ArcGIS. Keywords : KDB, KLB, GSB, advis planning, geografic information system.

Background of this Study: This article examines how digital music handled on music streaming services, JOOX Indonesia in particular. Purposes: The aims was to bring insight that metadata management skill could help an enhancement over music streaming services through metadata and to improve the user experience when using music streaming services. Method:A single case study is chosen as the research method for this paper. The researcher did three months internship to see how the music file handled on the back end of JOOX. Semi-structured qualitative interviews and documentary analysis were used to collect and triangulate the qualitative data. Findings: The result shows JOOX using its operational self-possession procedures to handle its digital music file and using its own metadata standard with adaptation from music metadata standard. JOOX has a feature that utilizes music lyric. We found that lyric metadata embedded as a distinct entity on their backend system. Since lyric frequently used by the user as an access point when they do the retrieval, we propose to embed lyric as a field on music metadata to improve search result. Conclusion: These research shows are lyric as the essential part when users enjoy the music in music streaming services. By embed lyric on music metadata, lyric could be able as an access point for retrieval. Moreover, lyric as metadata could be part of music digital file handling.

Indonesia is the biggest maritime country that has big marine resources too. It needed a good strategy so the marine resource usage can be managed well. Now, it can be helped by using information technology. The purpose of this research is to create a Geographic Information System for knowing potential marine resources in Daerah Istimewa Yogyakarta Coast. The result of this paper is a Geographic Information System that will runs in Android devices. The test results show 82,93% of users already satisfied with this application. It indicates that this application is in a “Very Good” category.

Blockchain first introduced and implemented in digital currency management and transactions. Its application to medical records data management is a novelty. This paper described the implementation of blockchain technology in the healthcare industry, especially in medical records data management A literature review was conducted on three popular databases, ScienceDirect, SpringerLink, and IEEE Xplore with the keywords "health", "medical record" and "blockchain" with "research article" and "conference proceeding" filters. There are a few articles that meet the criteria to review indicated that the implementation of blockchain technology in medical records data management is a novelty and still in the early phase. Blockchain is a potential technology in supporting the implementation of electronic medical records, especially related to data integration and privacy. Several scientific publications related to the implementation of blockchain for medical records data management shown that the implementation of this technology will make the patient have full control over their health data. Yet there are still many challenges in the implementation both from the user side and the technology infrastructure.

Idea sharing is one of the most common ways of developing innovation in organizations. Aspirations and suggestions for improvements are recognized, discussed, and executed through idea sharing. This study adopts an ethnographic approach and critically analyzes how idea sharing goes against the grain of organizational culture. Based on a study of a higher education institution in Java, Indonesia, the paper highlights usul mikul and ketiban sampur as two modes of cultural practice which, over time, penalize innovators in their efforts to initiate change and renewal. The results show that these practices are formative to organizational atrophy. They weaken organizational capability to innovate due to the disuse of members’ capabilities. Importantly, the study contributes to the growing literature on innovation management, organizational culture, and higher education management.

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., Hadits merupakan landasan dasar hukum Islam setelah Al-Quran, memiliki berbagai tingkat keaslian, yaitu: otentik (shahih), dapat diterima (hasan), lemah (dhaif), dan palsu (maudhu). Dua jenis hadis terakhir mungkin tidak berasal dari Nabi Muhammad SAW dan karenanya tidak boleh dipertimbangkan ketika menyimpulkan hukum Islam (syariah). Namun, banyak dari hadis-hadis ini yang dianggap sebagai hadis otentik di kalangan Muslim. Untuk dengan mudah membedakan hadits-hadits semacam itu, dokumen ini mengusulkan suatu metode untuk memverifikasi keaslian hadis dengan membandingkannya dengan koleksi hadis-hadis yang dibuat dalam bahasa Indonesia. Berbeda dengan penelitian terkait lainnya, metode yang diusulkan juga melakukan pemeriksaan ejaan untuk menangani kesalahan pengejaan yang sering didapati dalam hadis yang diterjemahkan ke dalam bahasa Indonesia di Web dan media sosial. Metode yang diusulkan menerapkan model ruang vektor dan symspell dalam kumpulan data Wikipedia, jejaring sosial dan portal berita. Hasil percobaan menunjukkan bahwa penggunaan pemeriksaan ejaan meningkatkan mean average precision dan recall menjadi masing-masing 81% (dari 73%) dan 89% (dari 80%).

This paper discusses the materials, manufacturing methods and techniques used in making the Saluang Pauh instrument (Zulmasdi version). This study uses a qualitative approach that is descriptive, where the researcher can explain the process of making Saluang Pauh with the study of organology as a basis for analyzing the object. The results of the research refer to the technical theory of organology which includes measurement instruments, descriptions, depictions with scales or photographs, methods or techniques for making and analyzing the sound produced. The conclusion of this research can be seen that in making Saluang Pauh, Zulmasdi uses traditional techniques (in terms of cutting materials, making, measuring and drying instruments) combined with modern techniques (using digital media such as the tuning of the instrument tone) to produce innovative traditional instruments that in accordance with the development of the supporting community

Background of the study: Measles is a major cause of child death caused by a lack of immunization when a child is a baby. Purpose: The discussion in this paper aims to describe the results of the analysis of the spatial data modeling of measles, knowing the percentage distribution of measles-prone areas, each district based on coverage on immunization status with good, average, fair and poor classification categories. The classification results include areas with good, average, fair, and poor immunization coverage status categories. Method: The method used i.e. with to requirement gathering information data from the East Java health profile book in 2011-2016 for the measles attribute, a literature study to describe the parameter requirements based on the coverage of immunization status (infant immunization status, PD3I, epidemic, and nutritional status), and selection of artificial intelligent (AI) system methods that are in accordance with data behavior for the spatial data modeling process in the formulation of alternative preference values with a decision-making system that involves multi-criteria parameters (multiple attributes decision-making/MADM) with Simple Additive Weighting (SAW) method. Findings: The alternative preference value Vi in the spatial data modeling process with the SAW method can be used as a mathematical model for the same data series behavior. Conclusion: The results of the representation in the modeling of spatial data and this attribute data can be used as a reference for planning in the development of health care centers in areas with poor immunization status categories.

Electronic Menu or abbreviated as eMenu is an application that designed to improve the performance of service processes in a business sector, especially restaurants. eMenu aims to change thefood ordering service process that was originally traditional using paper, into web-based digital media. Not only handling food ordering services, eMenu also handles almost all business processes in a restaurant such as menu management, managing information on orders received by waiters and chef, payment transactions, to sales reports. To handle payment transaction, eMenu using third party application payment gateway, called Duitku. eMenu is built using Single-Page Application concept that use AJAX calls which allows time efficiency in displaying the required data. By using the Single-Page Application, the browser does not reload the entire requested page but only part of data is displayed dynamically. The Single-Page Application uses Vue.js as Front-end stack, and Laravel to manage Back-end. eMenu application is responsive design, so that user can access via smartphone or desktop computer with properly.

Internet of Things is one concept in technology 4.0, this technology combine of two component, that is internet and mechine. Internet use to send signal from mechine to second device like mobilephone or from the mobilephone to mechine to execution task. Information Technnology infrastructure in industrial company has many complexity in network, hardware, or software. Especially for hardware like desktop computer or laptop, ech employee has one of them. And many of them, sometime forget to shutdown they computer or they has purpose did not shutdown they computer just for download the big file. Indirectly, the computer that run more than 24 hours in industrial company, it will be degrade service of life, and the consumption of electricity need the high cost. In this paper, our purpose is how to reduce computer that not needed run 24 hours can be monitor and can be shutdown in the out of company area. This is need concept of internet of things and digitalitation to make it. For this problem can be used monitoring system by mobile application, this system will be show about the host computer still be on, and can be remote shutdown with mobile device. This application use cordova to build it and the command from mobile be send to server to shutdown computer that still online.Â

Preprocessing is an essential task for sentiment analysis since textual information carries a lot of noisy and unstructured data. Both stemming and stopword removal are pretty popular preprocessing techniques for text classification. However, the prior research gives different results concerning the influence of both methods toward accuracy on sentiment classification. Therefore, this paper conducts further investigations about the effect of stemming and stopword removal on Indonesian language sentiment analysis. Furthermore, we propose four preprocessing conditions which are with using both stemming and stopword removal, without using stemming, without using stopword removal, and without using both. Support Vector Machine was used for the classification algorithm and TF-IDF as a weighting scheme. The result was evaluated using confusion matrix and k-fold cross-validation methods. The experiments result show that all accuracy did not improve and tends to decrease when performing stemming or stopword removal scenarios. This work concludes that the application of stemming and stopword removal technique does not significantly affect the accuracy of sentiment analysis in Indonesian text documents.

This paper presents a 2-tier scheme for mitigating coordinated call attacks on VoIP networks. Call interaction pattern was considered using talk and salient periods in a VoIP call conversation. At the first-tier, Short Term Energy algorithm was used for call interaction feature extraction and at the second-tier Hidden Markov Model was used for caller legitimacy recognition. Data of VoIP call conversations were collated and analyzed to extract distinctive features in VoIP call interaction pattern to ascertain the legitimacy of a caller against coordinated call attacker. The performance metrics that was used are; False Error Rate (FER), Specificity, Detection Accuracy and Throughput. Several experiments were conducted to see how effective the mitigating scheme is, as the scheme acts as a proxy server to Session Initiation Protocol (SIP) server. The experiments show that; when the VoIP server is under coordinated call attack without a mitigating scheme only 15.2% of legitimate VoIP users had access to the VoIP network and out of which about half of the legitimate users had their calls dropped before completion, while with the 2-tier mitigating scheme, when the VoIP server is under coordinated call attacks over 90.3% legitimate VoIP callers had their calls through to completion

This paper is an attempt to focus on investigating the pivot (bridge) language technique, where the pivot language used to improve Statistical Machine Translation (SMT) quality. In this case, Indonesian is used as a pivot language, where each available corpus can be used to support the Madurese-Sundanese language pair. Experiments that have been carried out using the parallel corpus of the Indonesian-Madurese and Indonesian-Sundanese languages ​​are equal to 5K and 6K sentences respectively, while the monolingual corpus used Malay, Sundanese and Indonesian each at 10K, 10K and 100K sentences. This study compares the results of applying the Triangulation and Transfer methods using Indonesian as a pivot language. The results of the research proved that the Triangulation method has better acceleration when compared to the Transfer method. From the results of the experiments conducted, the Triangulation method increased the average Indonesian pivot-based SMT testing by 6.18% for Madura-Sundanese SMT and 7.27% for Madurese-Sundanese SMT., Makalah ini merupakan upaya untuk fokus pada investigasi teknik bahasa pivot (penghubung) , di mana bahasa penghubung digunakan untuk meningkatkan kualitas Mesin Penerjemah Statistik (MPS) untuk bahasa bersumber daya rendah, yaitu bahasa Madura-Sunda. Dalam hal ini, bahasa Indonesia digunakan sebagai bahasa penghubung, di mana korpus yang tersedia masing-masing dapat digunakan untuk mendukung pasangan bahasa Madura-Sunda. Eksperimen yang dilakukan menggunakan korpus paralel bahasa Indonesia-Madura dan Indonesia-Sunda masing-masing sebesar sebesar 5K dan 6K kalimat, sedangkan korpus monolingual yang digunakan adalah bahasa Melayu, Sunda dan Indonesia masing-masing sebesar 10K, 10K, dan 100K kalimat. Penelitian ini membandingkan hasil penerapan metode Triangulation dan Transfer menggunakan bahasa Indonesia sebagai bahasa pivot. Hasil penelitian yang dilakukan menunjukkan bahwa metode Triangulation memiliki akurasi yang lebih baik, jika dibandingkan dengan metode Transfer. Dari hasil percobaan yang dilakukan, metode Triangulation rata-rata meningkatkan akurasi MPS berbasis pivot bahasa Indonesia sebesar 6,18% untuk MPS Madura-Sunda dan 7,27% untuk MPS Sunda-Madura.

Pendidikanmerupakanhakasasisetiapwarganegara. Untukitusetiapwarganegaraberhakmemperolehpendidikan yang bermutusesuaidenganminatdanbakat yang dimilikinyatanpamemandang status sosial, status ekonomi, suku, etnis, agama, dan gender. Kemajuanpendidikan di KabupatenBanyuwangidalambeberapatahunterakhirdapatdilihatdariberbagaiindikatornamundisadaribahwamasihterjadikesenjangan antarasekolahnegeridanswasta, antarasekolah yang di daerahpinggirandandaerahperkotaan. Perkembanganteknologiinformasimeliputiperangkat, jaringandanperangkatlunakdapatdimanfaatkanuntukmengatasikesenjanganpendidikandenganmengembangkan massive online open course (MOOC)berbasis web.MOOC adalahbelajar online denganjumlahpartisipasitidakterbatasdanaksesterbukamelalui web. Penelitianinimembuat MOOC denganmenggunakanNodeJssebagai backend server, MongoDbsebagai database sertaAngularJsdan Angular Material sebagai front end.Dalam paper inimenerangkanlangkahawalpembuatan MOOC sederhanamenggunakanNodeJs, MongoDbdan Angular. Aplikasi web inidapatdigabungdengan eCommerce danfitur-fiturpenunjanglainnya.

In WSNs, the sensor nodes are at risk of failure and malicious attacks (selective forwarding). This may have a profound negative effect when you consider real-time WSNs, making them challenging to deploy. When there is a delay in tasks allocation execution processes in real-time WSNs because of sensor nodes failures, this will cause disastrous consequences if the systems are safety-critical, e.g. aircraft, nuclear power plant, forest fire detection, battlefield monitoring, thus the need to developed a real-time system that is fault-tolerable. This paper developed a modified real-time fault-tolerant task allocation scheme (mRFTAS) for WSNs (wireless sensor networks), using active replication techniques. mRFTAS and RFTAS performance were compared using time of execution of the task, network lifetime and reliability cost. The mRFTAS performance showed an improvement over that of RFTAS when it comes to reducing the time it takes for task execution by 45.56% and reliability cost of 7.99% while prolonging the network lifetime by 36.35%.

Depending on the day and time, electricity consumption tends to fluctuate and directly affects the amount of gained revenue for the company. To anticipate future economic change and to avoid losses in calculating the company’s revenue, it is essential to forecast electricity consumption revenue as accurate as possible. In this paper, Jordan Recurrent Neural Network (JRNN) was used to do short term forecasting of the electricity consumption revenue from Java-Bali 500 kVA electricity system. Seven JRNN models were trained using electricity consumption revenue between January-March 2012 to predict the revenue of the first week of April 2012. As performance comparators, seven traditional feed forward Artificial Neural Network (ANN) models were also constructed. The forecasting results were as expected for both models, where both producing steady repeating pattern for weekdays, but failed quite poorly to predict the weekends’ revenue. This suggests that in Indonesia, weekends’ electricity consumption revenue has different characteristics than weekdays. Evaluation of the prediction result was carried out using Sum of Square Error (SSE) and Mean Square Error (MSE). The evaluation showed that JRNN produced smaller SSE and MSE values than traditional feed forward ANN, thus JRNN could predict the electricity consumption revenue of Java-Bali electricity system more accurately.

In developing countries where population grows rapidly, air pollution has been a serious issue for the public health. Among various pollutants, fine particulate matters (PM2.5) is associated with distinct serious health problems, e.g., asthma, cancer, cardiovascular and respiratory diseases. To raise the awareness of the community and decision makers in order to solve the air-pollution problem, the level of the PM2.5 index should be monitored. In this paper, we propose a dashboard system for monitoring air pollution based on PM2.5. A portable device (i.e., Edimax Airbox) was installed inside the building of Stikom Surabaya college to measure the PM2.5 level. The sensors in this device read the PM2.5 level, air temperature, and humidity level, and then it transmits the data to the cloud service. The cloud platform makes the collected data accessible through an open data API that allows our system to interact with the data in the JSON format. The data then was parsed in a web server and visualized in a dashboard system. The dashboard system provides two indicators, the live PM2.5 sensor measurement and the measurement history. The dashboard successfully visualized the indicator of air pollution index, based on PM2.5 standards by WHO and Dinas Kesehatan Indonesia (the Indonesian Department of Health). Within seven days of the study, PM2.5 level reaches the maximum value of 65 µg/m3 with the average value of 39.36 µg/m3 on July 8, 2018. This is an alarming rate given that the indoor average level threshold of PM2.5 by WHO is 25 µg/m3.

Data integration is an important step in integrating information from multiple sources. The problem is how to find and combine data from scattered data sources that are heterogeneous and have semantically informant interconnections optimally. The heterogeneity of data sources is the result of a number of factors, including storing databases in different formats, using different software and hardware for database storage systems, designing in different data semantic models (Katsis & Papakonstantiou, 2009, Ziegler & Dittrich , 2004). Nowadays there are two approaches in doing data integration that is Global as View (GAV) and Local as View (LAV), but both have different advantages and limitations so that proper analysis is needed in its application. Some of the major factors to be considered in making efficient and effective data integration of heterogeneous data sources are the understanding of the type and structure of the source data (source schema). Another factor to consider is also the view type of integration result (target schema). The results of the integration can be displayed into one type of global view or a variety of other views. So in integrating data whose source is structured the approach will be different from the integration of the data if the data source is not structured or semi-structured. Scheme mapping is a specific declaration that describes the relationship between the source scheme and the target scheme. In the scheme mapping is expressed in in some logical formulas that can help applications in data interoperability, data exchange and data integration. In this paper, in the case of establishing a patient referral center data center, it requires integration of data whose source is derived from a number of different health facilities, it is necessary to design a schema mapping system (to support optimization). Data Center as the target orientation schema (target schema) from various reference service units as a source schema (source schema) has the characterization and nature of data that is structured and independence. So that the source of data can be integrated tersetruktur of the data source into an integrated view (as a data center) with an equivalent query rewriting (equivalent). The data center as a global schema serves as a schema target requires a "mediator" that serves "guides" to maintain global schemes and map (mapping) between global and local schemes. Data center as from Global As View (GAV) here tends to be single and unified view so to be effective in its integration process with various sources of schema which is needed integration facilities "integration". The "Pemadu" facility is a declarative mapping language that allows to specifically link each of the various schema sources to the data center. So that type of query rewriting equivalent is suitable to be applied in the context of query optimization and maintenance of physical data independence.Keywords: Global as View (GAV), Local as View (LAV), source schema ,mapping schema

This paper presents photovoltaic system as a stand-alone electric power plant in the renewable energy development. To maximize these stand-alone generators, it is necessary to design photovoltaic modeling to produce energy and maximum power. The problems that exist in the design of PV systems are PV configuration, battery size, and the maximum power system. Therefore, this research will be proposed modeling Matlab/Simulink based PV system. The contribution of this research can provide various characteristics of the photovoltaic system with a capacity of 100 Wp. This modeling is designed using Matlab/Simulink software. The data generated from this simulation will provide a good reference for designing the stand-alone generators in the future.

The development of android application of music instrument called Angklung is explored in several features and techniques. Previous applications allow the user to play angklung by touching and shaking, learn, answer the quiz, customize the application environment such as changing the background sound, character asset, etc. There are the problems of android angklung application including the amount of tones generally 1 octave, utilizing of accelerometer sensor, and recording system. This paper describes the development of angklung android multi octaves using accelerometer sensor. The method used is waterfall involving requirements definition, system and software design, implementation and unit testing, integration and system testing and operational and maintenance. The application is tested each functionalities (black box) and questionnaire. The result show that the application has successfully worked in android device (Jelly Bean, Kit Kat and Lollipop) that provides the innovations features to play angklung in 18 tones, play different octave by shaking the device in different way, and record the angklung orchestra sound using android. Based on the questionnaire result, the user satisfaction rate is 82.8%.

I ntisari— Paper ini menjelaskan rancang bangun sistem pembayaran parkir menggunakan NFC ( Near Field Communication ) dan GPS ( Global Position System ) untuk menciptakan metode pembayaran parkir yang lebih cerdas. Kontribusi yang diberikan dari hasil penelitian adalah menerapkan konsep pervasive computing dan Internet of Things (IoT) di dalam pembangunan sistem parkir, sehingga pengguna menjadi lebih nyaman untuk memarkirkan kendaraan mereka. Lokasi parkir dipasang wifi dan nama SSID yang unik. Sistem akan melakukan sensing kepada pengguna yang memasuki lokasi parker menggunakan IMEI. Pembayaran parkir menggunakan aplikasi pada smartphone dengan NFC Enable dengan cara didekatkan pada NFC reader pada sistem. Pengguna melakukan tap pada smartphone dengan NFC Enable ke NFC reader untuk melakukan proses inisialisasi awal parkir kendaraan yang akan mencatat ID pengguna, date , dan saldo virtual money . Aplikasi pada smartphone akan mencatat koordinat lokasi parkir kendaraan sesuai lokasi parkir yang dipilih oleh pengguna. Selanjutnya, aplikasi akan membantu pengguna menemukan lokasi kendaraan ketika penguuna terlupa. Sistem pembayaran parkir pada penelitian ini telah berhasil dibangun dengan menghindari penggunaan kertas untuk tiket sehingga akan lebih memudahkan pengguna dan lebih ramah lingkungan.

Extended Word Similarity Based (EWSB) Clustering is a word clustering algorithm based on the value of words similarity obtained from the computation of a corpus. One of the benefits of clustering with this algorithm is to improve the translation of a statistical machine translation. Previous research proved that EWSB algorithm could improve the Indonesian-English translator, where the algorithm was applied to Indonesian language as target language.This paper discusses the results of a research using EWSB algorithm on a Indonesian to Minang statistical machine translator, where the algorithm is applied to Minang language as the target language. The research obtained resulted that the EWSB algorithm is quite effective when used in Minang language as the target language. The results of this study indicate that EWSB algorithm can improve the translation accuracy by 6.36%.

Culinary is a part of life that is closely related to the daily food consumption. Some people have difficulty in determining places to be visited for eating, it is affected by several considerations, such as the budget and the facilities at the eating place.The purpose of this paper is to build an application on the culinary recommendations in Semarang used Mamdani Fuzzy Model with android-based. This application had a function to give recommendation based on budget and facilities selected by the user used Mamdani Fuzzy Model. This application is Android based with Javascript programming language and Ionic framework. Applications can be used on Android smartphone connected to the Internet, then give recommendations based on budget and the facilities selected by the user.

Computer graphics is the study of how to create images and animations (image sequences) involving computers, both hardware (hardware) and software (the software). In this paper, we will discuss the basics of using the Processing programming language computer graphics. The author conducted basic experiments using Processing on making size (size) in the window display, point (point), line (line), triangle (triangle), quadrilateral (quad), rectangular (rect), and ellipse (ellipse), as well as the shape coordinate system. Of the experiments that have been performed, resulting in a positive y coordinate position starting from zero which is located in the top left corner heading down, and look up the appropriate forms with the dharapkan.

This paper addresses the problem of the signal segmentation within a hierarchical Bayesian framework by using reversible jump MCMC sampling. The signal is modelled by piecewise constant MA processes where the numbers of segments, the position of abrupt, the order and the coefficients of the MA processes for each segment are unknown. The reversible jump MCMC algorithm is then used to generate samples distributed according to the joint posterior distribution of the unknown parameters. These samples allow to compute some interesting features of the a posterior distribution. Main advantage of the algorithm reversible jump MCMC algorithm is produce the joint estimators for the parameter and hyper parameter in hierarchical Bayesian. The performance of the this methodology is illustrated via several simulation results. Keywords : Hierarchical Bayesian model, Reversible Jump MCMC methods, Signal Segmentation, piecewise constant Moving-Average (MA) processes