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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.

The traditional ceremony of rebo pungkasan is a cultural ritual that has been traditionally carried out by the Javanese people, including the Wonokromo Village community as an expression of gratitude to Allah. This ritual uses lemper raksasa as a special icon that contains moral messages for elementary children. The purpose of this paper is to discuss the moral message contained in lemper raksasa in the traditional ceremony rebo pungkasan for elementary age children. Therefore, as a formulation of the discussion, what moral messages from lemper raksasa for elementary-age children, how the moral message was given and why the tradition is worth preserving. This paper used a qualitative approach with the background of rebo pungkasan carried out by the people of Wonokromo Village, Pleret District, Bantul Regency, DIY. The results of this study indicate that (1) lemper raksasa is symbolically valued moral message to children of primary age, in the form of ‘daun pisang’ (banana leaves) as a symbol of the ‘problem’ learning of children, ‘ketan’ (sticky rice) as a symbol of ‘initial enjoyment’ of children’s learning and minced meat as a symbol of learning to become a ‘provision of life’ of children; (2) the symbolic moral message is given to children by inviting children to rebo pungkasan and to internalize it verbally to each child; (3) to preserve the culture, it is functioned as a means of entertainment, tourism assets, a media of ‘silaturahmi’ and a means of social integration

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.

Phishing and identity theft are common threats of online shopping. Phishing is an attempt to steal personal data from legitimate user. In this paper we propose a secure e-payment method using a credit card based on visual cryptography. This method adopts the existing 3D-Secure technology. Visual cryptography is applied in: user-merchant authentication, user-card provider authentication, user-card issuer authorization. It is applied to captcha image generated by merchant during registration using (2, 2) scheme with 2-subpixel expansion, to a text file containing credit card information sent by merchant to the card provider using (2, 2) scheme with pixel replacement, and to quick response code containing one-time-password that is used to authorize the payment transaction using (2, 2) scheme with 4-subpixel expansion. The test results show that out of 100 trials, all of them give 100% true positive. This indicates that the method is able to prevent phishing and identity theft, in sense of authentication, authorization, confidentiality, and integrity are gained. Phishing can be prevented because only legitimate participant who has an image share. Identity theft can be prevented because credit card details are not stored in the merchant’s database. Authorization is more guaranteed because only authenticated user can authorize the payments., Penipuan kartu kredit, phishing dan pencurian data pribadi merupakan ancaman pada jual-beli online. Phishing adalah upaya pencurian data-data pribadi dari pemilik sah. Pada paper ini diajukan metode pembayaran elektronik menggunakan kartu kredit pada jual-beli online berbasis kriptografi visual. Metode ini mengadopsi teknologi 3D-Secure yang berlaku saat ini. Kriptografi visual diterapkan di tiga fungsi, yaitu pengecekan keabsahan (autentikasi) pembeli-situs penjual, pembeli-penyedia layanan kartu kredit, dan pemberian ijin (otorisasi) pembeli kepada bank. Pertama, kriptografi visual diterapkan pada gambar captcha yang dibangkitkan oleh situs penjual ketika pembeli melakukan registrasi di situs penjual menggunakan skema (2, 2) dan ekspansi 2-subpiksel. Kedua, kriptografi visual diterapkan pada teks berisi informasi kartu kredit yang dikirimkan situs penjual kepada penyedia layanan kartu kredit menggunakan skema (2, 2) dengan penggantian piksel. Terakhir, kriptografi visual diterapkan pada quick response code yang menyimpan kode unik sekali pakai (one-time-password) untuk otorisasi pembayaran menggunakan skema (2, 2) dengan ekspansi 4-subpiksel. Sebuah prototype dibangun untuk simulasi dan pengujian keamanan. Hasil pengujian menunjukkan bahwa dengan 100 kali percobaan, keseluruhannya memberikan hasil 100% true positif. Artinya, metode yang diajukan dapat mencegah phishing dan pencurian data pribadi, serta autentikasi, otorisasi, kerahasiaan, dan integritas (keaslian) data lebih terjamin. Phishing dapat dicegah karena hanya pihak yang sah yang memiliki pecahan gambar hasil kriptografi visual. Pencurian data pribadi dapat dicegah karena data kartu kredit tidak disimpan di dalam basis data situs penjual. Otorisasi lebih terjamin karena hanya pengguna terautentikasi yang dapat melakukan transaksi dan mengotorisasi pembayaran.

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.

Context: Cohesion merupakan faktor yang sangat diperhitungkan dalam menilai tingkat kualitas sebuah software yang menggunakan dasar Object Oriented Programming (OOP) dalam pengembangannya. Semakin besar nilai cohesion maka class tersebut semakin independen sehingga semakin mudah dilakukan maintenance pada saat software berevolusi. Dalam pengembangan OOP diharapkan memiliki nilai cohesion yang tinggi.Objective: Paper ini menggunakan studi literatur sistematis terkait pada salah satu teknik refactoring yaitu extract class yang merupakan suatu cara untuk meningkatkan nilai cohesion dari sebuah class dan class cohesion metric untuk menilai tingkat kompleksitas class.Method: Dalam paper ini akan dilakukan studi literatur secara sistematis pada dua database jurnal yang berkaitan dengan extract class dan class cohesion metric hingga tujuh tahun terakhir.Results: Literatur tentang extract class refactoring dan class cohesion metric yang telah ada saat ini diklasifikasikan dan dilakukan perbandingan dari masing-masing metode.Conclusion: Dari review studi literatur masih terdapat issue terkait berapa jumlah optimal class yang harus dibentuk dari extract class refactoring.

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 research discusses the evaluation or online exam using the computer interactively. This system is not using paper or print media, but only uses a set of computer and connected to the network, so the students can carry out the exam anytime and anywhere. The lecturers or admins do not need paper and correct test results for Quiz, Midterm Exam, and Final Exam. The Quiz, Midterm Exam and Final Exam are automatically corrected by the system, and then making it easier for lecturers to process values. This application was created using FLASH, PHP and MySQL as the database. This application was designed using Unified Modeling Language (UML), that are Use Case, Class, Activity, and Sequence Diagrams Keywords: Evaluation, Flash, MySQL, PHP, and System

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.

This article is about a critical study of the thematic method of the Qur’an. It studies the nature of the method and provides a critical assessment of it. One of the gaps that the study will try to fill in is the lack of attention being given to the context out of which any particular text was revealed. The thematic approach is not particularly good at looking at the backgrounds of the text. It is this shortcoming that the paper will try to evaluate critically. It argues that the task of any interpreter of a text has been to understand first and foremost the surroundings that shape the text and constitute part and parcel of it. This understanding would determine the nature of the text and help guide the interpreter in the process of interpretation. The meaning of a text can change according to its context. The same word can infer to a different subject also according to the context. The paper will further elaborate this point further so as to give a clear idea that a thematic approach cannot ignore this aspect of exegesis.

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.

This paper aims to explore the potential of da'wah in the city of Semarang with a data mining approach. The data mining approach is carried out by implementing the fuzzy c-means (FCM) algorithm in order to obtain the optimum number of clusters in the potential clustering of da'wah in the city of Semarang. The data used in this study from the Ministry of Religion of the Republic of Indonesia and the Central Statistics Agency (BPS) of Semarang City. The results of the FCM analysis show that the optimum number of clusters is two clusters, where the sub-district in the second cluster is an area with a high potential for da'wah. This study provides information that in effective da'wah activities, certainty and clarity is needed regarding the targets of da'wah through mapping of da'wah in the form of clustering potential da'wah. This can be a consideration of dakwah strategies for the successful implementation of da'wah studies so that an increase in the target behavior of da'wah can be achieved. The application of FCM to get the optimum cluster of potential da'wah in order to produce da'wah mapping is novelty in the field of Islamic studies, especially the science of da'wah. Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; text-align:justify; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-ansi-language:EN-US; mso-fareast-language:IN;}

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.

Graph-QL (Query Language) is a new concept in the Application Programming Interface (API). Graph-QL was developed by Facebook which is implemented on the server-side. Although it is a query language, Graph-QL is not directly related to the database, in other words, Graph-QL is not limited to certain databases, either SQL or NoSQL. The position of Graph-QL is on the client and server-side that access an API. One of the objectives of developing this query language is to facilitate data communication between the backend and frontend / mobile applications. For this reason, this paper will examine the responsibility of Graph-QL in terms of response time and response size in the development of an integrated competency certification test system based on web service and compared with efficiency and flexibility using the REST API. From the test results, it was found that Graph-QL provided some advantages compare to REST API. It give more flexibility for the clients to access the data and solve the most typical problem that was over or under fetching cause by fixed data given by REST API endpoints.

The ineffectiveness of the wall-following robot (WFR) performance indicated by its surging movement has been a concerning issue. The use of a Fuzzy Logic Controller (FLC) has been considered to be an option to mitigate this problem. However, the determination of the membership function of the input value precisely adds to this problem. For this reason, a particular manner is recommended to improve the performance of FLC. This paper describes an optimization method, Particle Swarm Optimization (PSO), used to automatically determinate and arrange the FLC’s input membership function. The proposed method is simulated and validated by using MATLAB. The results are compared in terms of accumulative error. According to all the comparative results, the stability and effectiveness of the proposed method have been significantly satisfied.

Indonesia has many traditions that are still very thick, one of which is in Java. In Java has a unique tradition when after eater people died, namely earth surgery. This tradition aims to pray for the deceased as well as a form of sincerity of the family left behind. This paper aims to see the tradition of earth surgery in Java and Islamic views of the tradition. The aim is to find out the tradition before the funeral takes place, the tradition after the funeral takes place and to know the Islamic view of the tradition. The research method used in writing. This is a qualitative descriptive method and a literature method. Keywords: tradition, earth surgery, Islamic outlook.

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%).

Hand gestures are the communication ways for the deaf people and the other. Each hand gesture has a different meaning. In order to better communicate, we need an automatic translator who can recognize hand movements as a word or sentence in communicating with deaf people. This paper proposes a system to recognize hand gestures based on Indonesian Sign Language Standard. This system uses Myo Armband as hand gesture sensors. Myo Armband has 21 sensors to express the hand gesture data. Recognition process uses a Support Vector Machine (SVM) to classify the hand gesture based on the dataset of Indonesian Sign Language Standard. SVM yields the accuracy of 86.59% to recognize hand gestures as sign language.Keywords: Hand Gesture Recognition, Feature Extraction, Indonesian Sign Language, Myo Armband, Moment Invariant

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.

Load shedding plays a key part in the avoidance of the power system outage. The frequency and voltage fluidity leads to the spread of a power system into sub-systems and leads to the outage as well as the severe breakdown of the system utility. In recent years, Neural networks have been very victorious in several signal processing and control applications. Recurrent Neural networks are capable of handling complex and non-linear problems. This paper provides an algorithm for load shedding using ELMAN Recurrent Neural Networks (RNN). Elman has proposed a partially RNN, where the feedforward connections are modifiable and the recurrent connections are fixed. The research is implemented in MATLAB and the performance is tested with a 6 bus system. The results are compared with the Genetic Algorithm (GA), Combining Genetic Algorithm with Feed Forward Neural Network (hybrid) and RNN. The proposed method is capable of assigning load releases needed and more efficient than other methods.

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

Technology that is developing at this paper are believed can help teachers to create learning media. For example, is the use of technology in m-learning's virtual learning media which can be applied to android smartphones. Learning that is currently happening is only conventional and the use of instructional media by teachers has not developed according to technological progress and the use of these technologies has not been applied in learning. Therefore, research is carried out which aims to produce an android-based biology learning module about the material of the regulatory system for SMA / MA students who are valid and practice. This research development using three of the four stages of the development model of 4-D Models, which consist of defining phases, design phases, develop phases, distribution phases (disseminate). The data of this study are primary data obtained from the validation sheet and practicality test questionnaire, then analyzed by descriptive analysis. This research produces a product in the form of a valid and practical biology-based learning module. Based on the validator's assessment, the android-based biology learning module is categorized as very valid (82.84). Based on the assessment of android-based biology subject teachers in the very practical category, the average results of 87.92 were obtained and based on the assessment of students the biology learning module was categorized as very practical and obtained an average value of 86.6. The Android-based biology learning module that the researchers developed is feasible to use in the learning process.

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

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.

Makalah ini menyajikan penjelasan tentang penerepan full state feedback menggunakan metode pole placement pada sistem buck converter dengan Motor DC. Penambahan komponen buck converter diharapkan dapat membantu menaikkan nilai efisiensi sistem dan memperpanjang umur komponen switch yang digunakan. Namun terkadang sistem ini masih memerlukan kendali untuk dapat memaksimalkan perfoma sistem baik dari segi rising time, settling time maupun error steady state dari sistem. Simulasi kendali full state feedback menggunakan pole placement disimulasikan dengan pemodelan buck converter dan motor DC menggunakan Simscape dan Simulink pada Matlab. Dari hasil simulasi diperoleh bahwa kendali pole placement mampu menghasilkan kondisi rising time 1.4508s, settling time 2.5729s sedangkan kendali LQR lebih lambat 0.9524s untuk rising time dan 4.3603s untuk settling time saat diuji dengan sinyal step. Selain itu, penambahan pre compensator (Nbar) telah membuat sistem mampu mencapai nilai referensi yang diharapkan (error steady state menuju nol). Kata kunci: Motor DC, Buck Converter, Pole Placement. ABSTRACT This paper presents an explanation of the advanced full state feedback using the pole placement method in a buck converter system with a DC motor. The addition of buck converter components is expected to help increase the value of system efficiency and extend the life of the switch components used. However, sometimes this system still requires control to be able to maximize system performance in terms of both the rising time, the settling time and the steady state error of the system. Full state feedback control simulation using pole placement is simulated by modeling the buck converter and DC motor using Simscape and Simulink in Matlab. The simulation results show that the pole placement control is capable of producing a rising time of 1.4508s, settling time of 2.5729s, while LQR control is 0.9524s slower for rising time and 4.3603s for settling time when tested with step signals. In addition, the addition of a pre compensator (Nbar) has made the system able to reach the expected reference value (steady state error goes to zero). Keywords: DC Motor, Buck Converter, Pole Placement.

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.

Latest educational media based on mobile application nowadays is an important tool for teaching and learning which can help to attract the students’ attention and the students will be more efficient since they can study by their own anywhere and anytime with different situations surround them. This paper focuses on the usage of the mobile application in teaching practical skills among catering students. In line with the issues nowadays where the live demonstration is too backdated rather than use the mobile application to enhance the enjoyment of the cooking process in catering classroom. Teaching and learning with the mobile application was perceived to assist the learning process in cooking by following ways: increasing the comprehension of the cooking process and real-time to reassurance in the cooking process, enhancing the enjoyment of the cooking process and acquire new cooking skills. The findings show that the usage of mobile application is at moderate level. On the other hand, the positive implication towards students is at medium level. Overall, for this study, researchers found that the usage of mobile application among catering students was good and perceived positively towards students.

Virtualization technology is slowly being used to build network infrastructure called Network Function Virtualization (NFV). It takes network functions such as firewall, load balancer, IPS out of its hardware then uses its software to be run on high specification server. It helps to reduce vendor lock-in and creates a multiplatform network function environment for telecommunication or Internet Service Provider (ISP) company. It has a lot of benefits compared to a traditional network. One of them is reducing the number of hardware that is used in the telecom industry. This technology runs on the hypervisor that is used for the hardware management. One of the important components from NFV is Virtualized Network Function (VNF). In NFV, network devices are run on a server so that a firewall is needed. If an attack occurs on the network, it will interfere the existing network components. This paper focuses on analyzing the performance of two firewall systems: pfSense, and FortiGate. Both firewalls run on the VMware ESXi hypervisor. It compares the firewall performance in normal conditions without attacks and under SYN DoS attacks. Besides, firewall failover capabilities are evaluated. Based on the overall testing results, FortiGate has better performance than pfSense. It has better ability in handling DoS SYN attack because of lower throughput performance degradation and better FTP performance. It is concluded that FortiGate has best performance if it is compared to pfSense.

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.

An SPL can be represented as a multiplication of the coefficient matrix and solution vector of the SPL. Determining the solution of an SPL can use the inverse matrix method and Cramer's rule, where both can use the concept of the determinant of a matrix. If the coefficient matrix is a unimodular matrix, then all solutions of an SPL are integers. In this paper we will present a method of generating a unimodular matrix using Python so that it can be utilized on an SPL. Keywords: SPL, Unimodular Matrix, Python

The purpose of this research paper is to implement a method of cost-based pricing on CV. Midi Sukabumi in determining the selling price Lidi Osyin Noodle. The analysis technique that used is descriptive quantitative approach analysis technique used to analyze numbers using formulas and make descriptions systematically. the result of this research is determining the selling price on CV. Midi Sukabumi by using cost based pricing method are of two calculations, is cost plus pricing used to calculate the total cost of production and non-production process. And the second calculation is the calculation of mark up pricing used for reseller agents by adding a desired mark up on the purchase price of unity. Key Words : Full costing, cost based pricing, cost plus pricing, and mark up pricing

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.

As we know that,the aspect of going concern or bankruptcy of the entitiy become the issued or the problem must be considered by the external auditor.In the profession of Public Acccountant.\The external auditor must give the opinion objectively and independent. So that the Report of AuditorIndependent give the objective and right information ( no biased information) to the external user of Financial Statement how to make decision. One of the judgement must be considered by the external auditor is the bancruptcy of the entity (auditee ).One of the alternative method to decide the condition of entity’s going concern is Altman Z Score. In this paper,author will discuss about designing the Programming Algorithm of Altman - Z Score. The author design the program mentioned above by using Quick Basic Programming Language and Pascal Software.The author also design the accounting ratio programming into the part of source code or listing program mentioned above