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, I Putu Agung Bayupati, I Nyoman Piarsa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 193-202; https://doi.org/10.24843/lkjiti.2016.v07.i03.p07

Abstract:
Unusual activities of earth can be seen by human on a certain time caused by some earth activities change. One of them is the phenomena on atmosphere namely Lightning Whistler. Lightning Whistler is an electromagnetic wave that happens after a lighting on the magnetosphere and ionosphere, where a sound like a whistle is produced. This wave that traverse on radio frequency is called as whistler wave. This research proposed an application for detecting the frequency coordinate of a lightning whistler. The proposed application used STFT, image processing, and morphology image. STFT method is used to convert audio data into spectrogram image data. Afterwards, spectrogram image is processed by using image processing method to reduce noise. Finally, morphology image method is implemented to thicken the whistler wave signal to simplify the detection of coordinate. The proposed application can detect coordinate of a whistler wave signal, in the form of coordinate location, and the number of detected signal, based on time and period.
Budi Prasetiyo,
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 174-181; https://doi.org/10.24843/lkjiti.2016.v07.i03.p05

Abstract:
The Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to decide to make in human resource recruitment. This method was chosen because it can provide the best alternative from several alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), to obtain two candidates received.
Yuli Fauziah, Heru Cahya Rustamaji,
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 150-161; https://doi.org/10.24843/lkjiti.2016.v07.i03.p03

Abstract:
Trans Jogja is a mass transportation system operating in Yogyakarta City, where the system has problems with the timeliness of departure and bus arrival, so the bus arrival schedule can not be ascertained. So, this study designs the application of mobile crowdsourcing concept to assist Trans Jogja bus users in terms of bus arrival estimation. The user broadcasts the location or when the passenger goes up so that the end-user passengers can get an estimate of how long the bus will come. The method used is qualitative method by collecting primary data source (interview, observation and literature study). This research involves passengers of Trans Jogja bus android smartphone users. Passengers post the status using the app to send the bus location. Other passengers who have been waiting at the bus stop can know the bus arrival time at the bus stop. Based on Performance test result, it can be obtained the average difference of bus arrival time in application with bus arrival time of survey result in line 1A is 1.86 minutes.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 132-137; https://doi.org/10.24843/lkjiti.2016.v07.i03.p01

Abstract:
Now the need for access to information is very important because the information obtained can specify or provide comfort and ease in performing daily activities. One example is to use gadgets such as smartphones, notebooks, tablets and others, we can easily find out information directly without having to come to the venue. This system aims to design information systems in the parking lot. This technology can provide an idea of ??the amount of available parking spots has been filled or empty. By accessing the IP address given earlier, then we will know the availability of parking space directly. From the test results, it can be said that this system has the advantages of easy to use, the application is simple and can help improve the comfort / convenience for users of the car park. But this system also has the disadvantage of a webserver which is used has a very small memory that can not be accessed by many concurrent users in one time.
, I Ketut Adi Purnawan, Ni Kadek Dwi Rusjayanthi
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 162-173; https://doi.org/10.24843/lkjiti.2016.v07.i03.p04

Abstract:
Development of Information Technology is very important for human life, one technology that is currently growing very rapidly in the form of smartphone technology is mainly based on Android. The Android platform has become very popular, the game developers seriously take it. Game is one of the entertainment media, but this time the game can be as one media introduction Cultural Traditions Bali. Game Explore Bali is designed to introduce the Bali Cultural Traditions in seven cities in Bali Province. Traditions introduced in the game consists of Ngerebong (Denpasar), Mekotek (Badung), Okokan (Tabanan), Makepung (Jembrana), Ngedeblag (Gianyar), Megibung, Terteran, Gebug Ende (Karangasem) and Ngocang, Bukakak (Buleleng) through a description and picture information. Based on the analysis by using a questionnaire that tested on 30 children for most of the samples. User knowledge about the Bali Cultural Traditions increased by 74% from the initial percentage of 67% through the information displayed on the Game Explore Bali.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 138-149; https://doi.org/10.24843/lkjiti.2016.v07.i03.p02

Abstract:
Technology today causing the data needs of an agency or company to process the data or analyze data quickly, dense and higher. Companies or institutions want the data analysis process can save time as much as possible. The data warehouse is a data analysis technology that is useful to resolve the issue. The data warehouse is a repository of data that is useful to accommodate all the history data held by agencies or companies. Data marts are small part of the data warehouse. Data mart is focused on a single subject. This study uses a generalization method to perform the process of establishing a data mart. Generalization is a useful method to reduce or narrow the differences in the data based Subclass. Subclass were integrated into a Superclass useful to collect some data from the Subclass. Subclass is the data that is more descriptive. Superclass is more general in nature of data. The result obtained is a collection of some Subclass predetermined or selected later formed a Superclass useful to accommodate the resources of the Subclass.
Suar Wibawa, A. A. K. Oka Sudana, Putu Wira Buana
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 122-131; https://doi.org/10.24843/lkjiti.2016.v07.i02.p06

Abstract:
Multi-sensor communication system uses RS-485 standard communication connecting each microcontroller-based data processing unit to form BUS topology network. The advantages of this communication system are: connectivity (easy to connecting devices on a network), scalability (flexibility to expand the network), more resistant to noise, and easier maintenance. The System is built using Master-Slave communication approach model. This system need to filter every data packet on communication channel because every device that connect in this network can hear every data packet across this network. Multi Processor Communication (MPC) model is applied to reduce processor’s burden in inspecting every data packet, so the processor that work in slave side only need to inspect the message for itself without inspecting every data packet across the communication chanel.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 104-114; https://doi.org/10.24843/lkjiti.2016.v07.i02.p04

Abstract:
Computer forensics and anti computer forensics are two opposing fields. Computer forensics is done by a computer forensics expert in order to obtain accurate data and evidence of cyber crime cases for investigation, while the anti-computer forensics conducted by the attacker to remove traces at once difficult computer forensics expert in performing its duties. For the attacker, the selection of anti-computer forensics tool that default on the target machine, more effective and faster than installing it first on the victim machine. For this reason the author chose shred as anti computer forensics applications on GNU / Linux machine. If anti forensic work, forensic experts would be difficult to perform computer forensics to data as evidence of cyber crime. This paper describes the anti-forensics performed by the attacker to remote machines GNU / Linux for cyber crime cases in a computer network. Anti forensic performed using shred the syslog file to remove traces of the crime at the same time make it difficult for the forensic process by computer forensics expert. Tests performed on three pieces of computer-based GNU / Linux on System Signals Lab intranet ITB. Each act as the target machine (server), firewall machine, and the machine attacker. Doing the anti computer forensics and computer forensics at the server machine. The test results are recorded and analyzed in order to then be deduced.
Sitta Rahayu, I Nyoman Piarsa, Putu Wira Buana
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 71-82; https://doi.org/10.24843/lkjiti.2016.v07.i02.p01

Abstract:
Watershed management becomes very important because the more maintained its watershed, the risk for disasters caused by the overflowing river became smaller. Watershed management could be done if the information on that watershed could be complete, but untill this day, the available information was lacking. This condition caused the difficulty of data collected, so required a system that could be used to perform watershed data processing. A system that to be used is Geographic Information Systems Watershed Mapping. This system is a Web-based system that can be used for collected data and mapping the watershed using a map from Google Maps. Features polyline which was owned by Google Maps can be used to describe a network of rivers and long inundation, library geometry was used to calculate the length of polylines, feature marker was used to describe the location of the dam and the point was prone to flooding of a river and features a polygon used to describe the watershed. This system can collected data watershed in two ways, namely digitization and input the coordinates that can be done by the admin. Results from watershed data can provide information to the user about the location of the dam along with its description, the river network in the watershed, a point prone to flooding, inundation and limit the length of the watershed and its description.
I Gede Aditya Nugraha, I Ketut Gede Darma Putra,
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 93-103; https://doi.org/10.24843/lkjiti.2016.v07.i02.p03

Abstract:
Museum Bali is one of the museum which is located in Denpasar City that established since 1910. The Museum collections consist of items such as living equipment, art, religion, handwriting, and other things that show the situation and the development of the Balinese culture. Augmented Reality is a technology which combines two-dimensional virtual objects or three-dimensional virtual objects into the real environment. Museum Bali has decreased the amount of visitors in recent years and requires an innovation to promote Museum Bali. One innovation that is expected to promote the Museum Bali is to create an augmented reality application that called Augmented Reality Museum Bali in Android platform. Utilizing augmented reality technology that works by detecting the marker then it show up the 3D object and the information from one of the objectsin Museum Bali. Markerless method used in detection marker that make this application moreattractive and expected to be a new experience for the people who want to know more about Museum Bali.
I Putu Indra Permana, I Ketut Gede Darma Putra, I Gusti Made Arya Sasmita
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 83-92; https://doi.org/10.24843/lkjiti.2016.v07.i02.p02

Abstract:
Pemilihan Kepala Desa (Pilkades) merupakan proses yang tidak terpisahkan dari Negara Indonesia sebagai negara demokrasi. Pilkades saat ini masih menggunakan sistem pemungutan suara (voting) secara konvensional, menggunakan media kertas untuk melakukan proses pemilihan. Pelaksanaan sistem voting konvensional tersebut mempunyai banyak kelemahan seperti menghitung hasil voting relatif lebih lama dan menggunakan perhitungan manual. Perkembangan dan kemajuan teknologi informasi saat ini dapat dimanfaatkan untuk mendukung pelaksanaan voting Pilkades secara lebih baik yang menjadi solusi cerdas akan kemajuan teknologi yang dapat menggantikan sistem voting konvensional, yaitu dengan media sistem elektronik voting (e-voting) menggunakan teknologi smart card sebagai kartu pemilih. Sistem dikemas dalam bentuk aplikasi yang dipasang/di-install pada komputer dan reader/writer tools sebagai media untuk membaca/menulis pada smart card. Sistem e-voting Pilkades dengan teknologi smart card telah berhasil dijalankan dan menghasilkan dashboard hasil voting Pilkades dengan menunjukkan jumlah voting dalam bentuk angka, persentase (%), grafik dan diagram.
I Dewa Made Adi Baskara Joni, I Kadek Budi Sandika
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 51-60; https://doi.org/10.24843/lkjiti.2016.v07.i01.p06

Abstract:
A lecturer at a university has the obligation to perform tri dharma college. One of the tri dharma is research. Research activities is a very important thing to be managed properly. Good management can improve the quality of the lecturer career that will have an impact on the quality of STMIK STIKOM Indonesia (STIKI) as an educational institution. This research has been through various stages, ranging from business process analysis, design until the implementation of the system. Based on the analysis of business processes in the current system found various problems. The main problem is on the process of research recapitulation. The running of manual system could be caused human error and generated inaccurate information and not real time. The system is designed using a structured design models starting from document flow diagrams, system flow diagrams, data flow diagrams until the entity relationship diagram. The bulit system has ranging features from master data management, management of research proposals until the management of the research report. All of these management processes have been designed to run systematically that could be minimized the error rate due to human error.
Indra Azimi, Aulia Azimi
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 61-70; https://doi.org/10.24843/lkjiti.2016.v07.i01.p07

Abstract:
The right decision in national economy sector can only be obtained with excellent national economic data quality. Unfortunately, the collection process of true, accurate and complete national data is still expensive and time-consuming. Therefore, this study offers crowdsourcing as an alternative method towards the collection process of national data with low cost and dynamic. With case study basic commodity prices data collection nationwide, this method proved to empower the public as the owner of the data on self-reported commodities price in their region through an Android application, available for free on Google Play Store. This study was conducted for a year starting from January 2 to December 31, 2015. At the end of the study period, there were 7,442 people who have participated actively with an even distribution in all provinces in Indonesia. The amount of new user is 34 people per day with data entry is more than 400 data per day, and continues to increase.
Ni Luh Wiwik Sri Rahayu Ginantra
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 40-50; https://doi.org/10.24843/lkjiti.2016.v07.i01.p05

Abstract:
Batik motifs are the base or the blueprint of batik patterns which serve as the core of the batik image design, and therefore the meaning of a sign, symbol or logo in a batik work can be revealed through its motifs. Visual identification requires visual skills and knowledge in classifying patterns formed in a batik image. Lack of media providing information on batik motifs makes the public unable to have sufficient information about batik motifs. Looking at this phenomenon, this study is conducted in order to perform visual identification using a computer that can assist and facilitate in identifying the types of batik. The methods used for batik image recognition are the Co-occurrence Matrix method to provide extraction of batik texture features, and the Geometric Moment Invariant method, while K Nearest Neighbor is used to classify batik images. The results on the accuracy values obtained reveal that the of 80%, compared to the accuracy value result using the Co-occurrence Matrix method that is 70%.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 31-39; https://doi.org/10.24843/lkjiti.2016.v07.i01.p04

Abstract:
Calculation of Gross Primary Production that utilize remote sensing data is can be done on commercial remote sensing software by manual method. The commercial remote sensing software does not provides a specific feature that allow the user to do the Gross Primary Production calculation. This research is aimed to to build a remote sensing software that can be specifically used to do the Gross Primary Production calculation for Denpasar area. This software accepts remote sensing data as an input, such as satellite image from Landsat 8 OLI and TIRS and metadata file. The formulas and supporting data that required on the Gross Primary Production calculation are implemented on software in order to make an automatic image processing software. There also some additional feature on this software such as automatic data parsing from metadata file, cropping, masking and zoom that could help user to do the Gross Primary Production calculation. The developed software is able to produce information such as Gross Primary Production value that depicted by a figure with color segmentation, area of the segments and mean, minimum and maximum value of the Gross Primary Production.
, Afrizal Laksita Akbar, Mohammad Sonhaji Akbar, Agus Zainal Arifin, Darlis Herumurti
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 22-30; https://doi.org/10.24843/lkjiti.2016.v07.i01.p03

Abstract:
Naïve Bayes is one of data mining methods that are commonly used in text-based document classification. The advantage of this method is a simple algorithm with low computation complexity. However, there is weaknesses on Naïve Bayes methods where independence of Naïve Bayes features can’t be always implemented that would affect the accuracy of the calculation. Therefore, Naïve Bayes methods need to be optimized by assigning weights using Gain Ratio on its features. However, assigning weights on Naïve Bayes’s features cause problems in calculating the probability of each document which is caused by there are many features in the document that not represent the tested class. Therefore, the weighting Naïve Bayes is still not optimal. This paper proposes optimization of Naïve Bayes method using weighted by Gain Ratio and feature selection method in the case of text classification. Results of this study pointed-out that Naïve Bayes optimization using feature selection and weighting produces accuracy of 94%.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 13-21; https://doi.org/10.24843/lkjiti.2016.v07.i01.p02

Abstract:
Sepsis be considered health problems in infants in developing countries and industrialized countries. That is because sepsis has a mortality rate that is enough high on the infants. Lack of knowledge of parents to the sepsis causing treatment too late. This study attempted to show how the Dempster-Shafer method can be used to detect Sepsis disease in Infants. Dempster-Shafer method combines Trust Value of symptoms one by one. This method is a model uncertainty with a range of probabilities. The study used six symptoms on 5 kinds of different conditions of Trust Value from any symptoms. The trials applied using the programming language PHP and HTML. The results of Dempster-Shafer for Sepsis in Infants that Condition 1 is 0.66977, Condition 2 is 0.60435, Condition 3 is 0.69249, Condition 4 is 0.66132, and the Condition 5 is 0.76756.
Siryantini Nurul Adnin, Ida Bagus Ketut Widiartha, I Made Budi Suksmadana
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 1-12; https://doi.org/10.24843/lkjiti.2016.v07.i01.p01

Abstract:
This study incorporate AR into a technology home Catalog sales, thus Catalog home is becoming more real with 3D objects in it. This research aims to produce an application that can display a 3D model of a house that can help buyers to know well the home to be purchased, and will simplify the home seller as a media campaign to consumers. 3D objects used to develop two kinds of Software that Sweet Home 3D and Blender, whereas to create application in programming used Unity 3D Software using the C # programming language. Application home design Catalog is made through several stages of design 3D objects, Marker workmanship and application design. The end result consists of two forms, namely in the form of physical (in the form of print media Catalog) that contains a marker on some pages and Augmented Reality applications based on Android in the form of .apk which is then installed on Smartphones, where the two are complementary.
I Ketut Adi Purnawan
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 200-205; https://doi.org/10.24843/lkjiti.2015.v06.i03.p07

Abstract:
Implementation of Information Technology (IT) in an organization require significant costs with high risk of failure [3]. Managing data is a matter that must be done continuously by the organization and accompanied by monitoring and measurement of achievement that has been done as to meet the aspect of integrity, availablility. In this study using COBIT as a frame work in preparing the guidelines for information technology governance at PT. X on DS11, which focuses on management of data about the level of concern for management (management awareness) and maturity level (maturity level). The study and analysis indicates that the level of concern for management (management awareness) PT. X already on a fairly level and maturity level for the current maturity level (as is) at level 3 (defined process) and to the expected level of maturity located at level 5 (optimized). From the overall study results showed that PT. X has recognized that the data is an important organizational asset.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 185-191; https://doi.org/10.24843/lkjiti.2015.v06.i03.p05

Abstract:
Spatial Data Clustering is one of the significant techniques in data mining which used to obtain information or knowledge in a large number of spatial data from various applications. One technique that being a pioneer in the development of spatial data clustering algorithm is DBSCAN. This study is focused on implementation of DBSCAN method in decision making process in order to help a company to decide its potential customer. The trial results in this study show that DBSCAN method has been successfully conduct clustering process to support decision making process in determination of potential customer by forming several number of clusters.
Agus Gede Adi Prayoga, I Putu Agung Bayupati, A.A.K. Agung Cahyawan Wiranatha
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 150-161; https://doi.org/10.24843/lkjiti.2015.v06.i03.p02

Abstract:
Japanese language is different from other language in general, because in its writing is using Katakana and Hiragana letter. The use of Japanese is in various need, especially in communication for example entertaining tourists. Japanese language learning in Indonesia facing several problems among other are lack of infrastructure in practicing and also boring atmosphere which make students having difficulty in learning. Educational game application for mobile device is a new learning method is considered as a tool to attract one’s interest to learn. Educational Games to Indentify Katakana and Hiragana Letter is created in order to help to overcome the difficulty in learning Japanese Language relate to mastery Katakana and Hiragana letter. Learning material which is implied in the game came from Ni Hon Go 1 and Ni Hon Go No Kyoukasho curriculum. Game have three learning features such as table, letter writing and guessing, there are also entertaining addition features. Based on questionnaire data result on 30 students having difficulty in learning Japanese language, as much as 60% of respondents say that the game was easily understood as a Japanese language learning media.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 175-184; https://doi.org/10.24843/lkjiti.2015.v06.i03.p04

Abstract:
In accordance with the mandate of the 1945 Constitution article 31 concerning the education authorities have issued various policies to realize the cost of education is getting cheaper and affordable to all people, one of which is the system UKT (Tuition Single) which is partially Tuition Single (BKT) which were passed to each student based on their economic capabilities. UKT grouping mechanism is still done manually by Udayana University which resulted in the value of equity for prospective new students to their economic capacity is still lacking. Therefore, it needs a mechanism for charging and determination UKT which can be done online, so as to improve efficiency and effectiveness. The next solution that can be done is by using classification techniques using Fuzzy C-Means (FCM) and Beni Xie Index to determine the optimum clusters in the process of determining the type UKT so as to meet the values ??of justice for prospective new students.
, , Ni Kadek Ayu Wirdiani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 138-149; https://doi.org/10.24843/lkjiti.2015.v06.i03.p01

Abstract:
Module Management Information System of Accounting and Finance in a hospital is required, because the transactions that occur in a company already so much. Transactions that are not recorded properly, there’s no chance in making judgments and decisions well. Module of Accounting and Finance to increase its benefits, the data must be systematically recorded, summarized and grouped, and presented in the report. Manually recording transactions is still a constraint to get a good recording results because of errors in recording transactions often occur as well as the time required to obtain a sufficiently long financial statements. In this study will be made of a system of management accounting and financial information that is useful to overcome obstacles in the accounting process is done manually. The management system includes recording in journalizing, ledgers, and report generation. The management information system in the form of context diagram, diagram Tiered, Overview Diagram, Data Flow Diagrams, Database, and GUI.
Ni Kadek Ariasih, I Made Gede Sri Artha
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 101-111; https://doi.org/10.24843/lkjiti.2017.v08.i02.p04

Abstract:
STMIK STIKOM Indonesia adalah salah satu institusi di bidang pendidikan yang berbasis komputer. Untuk menunjang keefektifan pelaksanaan aktifitas belajar mengajar yang berlangsung dikampus perlu didukung dengan pelayananan terhadap ketersediaan fasilitas kelas yang memadai dan juga pelayanan pengaduan keluhan jika terjadi kendala pada fasilitas yang ada di kelas. Selama ini pengelolaan pengaduan keluhan terhadap fasilitas ruangan kelas maupun di labarotorium yang ditangani oleh Pihak Tata Laksana Rumah Tangga Dan Perlengkapan maupun Bagian Teknisi masih bersifat manual. Untuk dapat mencatat dan menangani keluhan tersebut diperlukan sistem informasi yaitu STIKI Class Facilities E-Complaint. Sistem ini dapat membantu Pihak Tata Laksana Rumah Tangga Dan Perlengkapan maupun Bagian Teknisi dalam memonitor keluhan dari kondisi faslitas ruangan yang ada jika mengalami kendala dan juga dapat meningkatkan kualitas pelayanan dalam menangani keluhan. Adapun model proses pengembangan perangkat lunak yang digunakan adalah model prototype dan berbasis Web dengan PHP dan database MySQL.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 53-64; https://doi.org/10.24843/lkjiti.2017.v08.i01.p06

Abstract:
Microfinance Institutions Agribusiness (LKMA) Prima Agung Kenagarian Sungai Duo Kecamatan Sitiung Kabupaten Dharmasraya is one form of cooperatives engaged in the field of micro-credit. In management, conventional systems are still used in the form of a book. This method is less effective for savings and loan transactions in large quantities because it required precision in processing accounting data such as repetition of writing that can lead to wastage of working time. With the existence of these problems, LKMA Prima Agung needs to use a savings and loan applications that can assist in data processing. The research method used in this study is the identification of the problem, literature, and the establishment of data collection, system design, analysis, design and implementation of the system. The results of this study are expected to be an alternative solution, especially for LKMA Prima Agung in completing various transaction processes effectively and efficiently.
I Dewa Made Adi Baskara Joni, I Putu Hendika Permana
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 124-134; https://doi.org/10.24843/lkjiti.2017.v08.i02.p06

Abstract:
Kegiatan pengabdian kepada masyarakat merupakan salah satu kegiatan yang membutuhkan peran Teknologi Informasi (TI). Pemanfaatan TI memperkecil kemungkinan munculnya berbagai masalah dalam kegiatan. Dokumen seperti surat keputusan, surat tugas, proposal maupun laporan kegiatan seringkali tidak konsisten. Dalam evaluasi kegiatan juga memiliki banyak keterbatasan. Jika dibutuhkan informasi seperti siapa saja dosen yang terlibat dalam kegiatan, berapa total biaya untuk setiap kegiatan atau seluruhnya sangat sulit untuk diketahui. Sistem yang dibangun dapat membantu mengelola kegiatan pengabdian kepada masyarakat (PKM) baik PKM institusi maupun PKM kelompok dosen. Pengguna dapat mengelola periode di awal setiap pengajuan kegiatan PKM. Ketika dibutuhkan kelengkapan administrasi seperti Surat Keputusan dan Surat Tugas, dapat dihasilkan secara otomatis dari sistem. Dokumen proposal, laporan maupun bukti dokumentasi kegiatan dapat diunggah ke dalam sistem agar dapat diarsipkan secara digital dan terstruktur. Sistem diharapkan dapat menjadi solusi dari permasalahan yang dialami. Dengan sistem yang baru human error dapat diminimalisir dan pengelolaan kegiatan dapat dilakukan lebih mudah dengan bantuan TI.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 89-100; https://doi.org/10.24843/lkjiti.2017.v08.i02.p03

Abstract:
Database auditing dapat menjadi komponen penting dalam keamanan basis data dan kepatuhan terhadap peraturan pemerintah. Database Administrator perlu lebih waspada dalam teknik yang digunakan untuk melindungi data perusahaan, serta memantau dan memastikan bahwa perlindungan yang memadai terhadap data tersedia. Pada tingkat tinggi, database auditing merupakan fasilitas untuk melacak otoritas dan penggunaan sumber daya database. Ketika fungsi auditing diaktifkan, setiap operasi database yang diaudit menghasilkan jejak audit dari perubahan informasi yang dilakukan. Sinkronisasi database adalah bentuk dari replikasi, yang merupakan proses untuk memastikan setiap salinan data pada database berisi objek dan data yang serupa. Sinkronisasi database dapat dimanfaatkan dalam berbagai keperluan, salah satunya membangun auditing untuk mencatat setiap aktivitas yang terjadi pada database. Jejak audit dari operasi database yang dihasilkan, memungkinkan DBA (Database Administrator) memelihara audit trails dari waktu ke waktu, untuk melakukan analisis tentang pola akses dan modifikasi terhadap data pada DBMS (Database Management System).
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 135-143; https://doi.org/10.24843/lkjiti.2017.v08.i02.p07

Abstract:
Pada bidang kesehatan, data mining dapat dimanfaatkan untuk memprediksi suatu penyakit dari data rekam medis pasien, diantaranya diabetes. Ada beberapa model data mining salah satunya klasifikasi. Di bidang klasifikasi, ada banyak cabang yang berkembang yaitu pohon keputusan (decision tree). Salah satu decision tree yang populer adalah C4.5. Dalam riset ini, data yang digunakan adalah pima indian diabetes dataset yang diambil dari UCI repository of machine learning. Pada dataset ini seluruh atributnya bertipe numerik yang bersifat continuous dan untuk menangani data continuous digunakan discretization. Akurasi sangat penting dalam pengklasifikasian, ensemble method adalah metode yang digunakan untuk meningkatkan akurasi algoritma klasifikasi dengan membangun beberapa classifier dari data training. Dari hasil penelitian, dengan menerapkan discretization dan teknik bagging untuk klasifikasi berbasis ensemble pada algoritma C4.5 dapat meningkatkan akurasi sebesar 6,26%. Dengan akurasi awal 68,61%, setelah diterapkan discretization dan teknik bagging menjadi 74,87%.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 22-30; https://doi.org/10.24843/lkjiti.2017.v08.i01.p03

Abstract:
Electronically data interchange between institutions or companies must be supported with appropriate data storage media capacity. MySQL is a database engine that is used to perform data storage in the form of information, where the data can be utilized as needed. MYSQL has the advantage of which is to provide convenience in terms of usage, and able to work on different platforms. System requirements that must be reliable and multitasking capable of making the database not only as a data storage medium, but can also be utilized as a means of data exchange. Dropbox API is the best solution that can be utilized as a technology that supports the database to be able to Exchange data. The combination of the Dropbox API and database can be used as a very cheap solution for small companies to implement data exchange, because it only requires a relatively small Internet connection.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 1-10; https://doi.org/10.24843/lkjiti.2017.v08.i01.p01

Abstract:
The hassle of analytical and numerical solution for liquefaction modeling, repetitive laboratory testing and expensive field observations, have opened opportunities to develop simple, practical, inexpensive and valid prediction of wave-induced liquefaction. In this study, Artificial Neural Network (ANN) regression modeling is used to predict the depth of liquefaction. Despite of using Back Propagation (BP) to train ANN, a modified Genetic Algorithm (called as Wide GA, WGA) is used as ANN training method to improve ANN prediction accuracy and to overcome BP weaknesses such as premature convergence and local optimum. WGA also aim to avoid conventional GA weaknesses such as low population diversity and narrow search coverage. Key WGA operations are Wide Tournament Selection, Multi-Parent BLX-? Crossover, Aggregate Mate Pool Mutation and Direct Fresh Mutation-Crossover. ANN prediction accuracy measured by Median APE (MdAPE). Global optimum solution of WGA is best ANN connections weights configuration with smallest MdAPE.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 41-52; https://doi.org/10.24843/lkjiti.2017.v08.i01.p05

Abstract:
Electronic mail is a communication model that is fundamental in the era of globalization. Proven on any form of registration data or information requires the presence of email address(electronic mail). The use of email itself cannot be separated from the abuse (such as stelling password and mail spoofing) from some parties so it needs security form in email communication. Communication security on mail server such as ZIMBRA mail server has been well-implemented, such as the use of ssl certificate. But the security is still standard. So, when user and password have been found out by third party, email content will be read easily (in cryptography technique it is called plaintext reading). On research that was conducted with pretty good privacy (PGP) method email communication security was focused on the email content by encrypting mail text along with the attachment file. In a study conducted, using the mail engine Zimbra mail server. Result of research shows that PGP security is able to secure email content whether the text or the attachment, showing difference of attachment file size is bigger on PGP using and change mail header from the standard mail.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 11-21; https://doi.org/10.24843/lkjiti.2017.v08.i01.p02

Abstract:
Information technology is the result of a human mind to develop ordinances or specific systems and use them to solve problems in life. Submission of information today is no longer through the print media, but will gradually shift to the use of digital electronic media. The announcement can be interpreted as a message delivered to every person who is the target destination or destination information. This study discusses the announcement of information systems that can replace conventional media announcements still. With this information system of this announcement makes any lecturer and secretariat in one program studi in College X no longer need to print and posting notices on board the information available, but may be digital by entering the announcement into the system to afterwards the announcement will be displayed on each screen television or monitor the spread and available in every area of ??the campus. This can make the process of delivering information to become more effective and efisien if compared to the print media.
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi pp 65-76; https://doi.org/10.24843/lkjiti.2017.v08.i02.p01

Abstract:
Pengetahuan umum adalah pengetahuan yang diketahui sebagian besar masyarakat. Survei LIPI Tahun 2015 menyatakan 54% dari 1.829 responden kurang paham terhadap informasi pengetahuan dan teknologi. Sebagian besar Masyarakat Indonesia lebih memilih menggunakan internet untuk media sosial dibandingkan mencari informasi seputar pengetahuan atau isu-isu di masyarakat [1]. Masalah ini dapat diatasi dengan media edukasi yang lebih interaktif, sehingga dapat menambah wawasan pengetahuan umum dengan cara yang menyenangkan. Virtual Reality merupakan teknologi yang mampu menciptakan lingkungan virtual yang interaktif. Virtual Reality digunakan untuk menciptakan permainan edukasi Labirin bernama LabirinVR. LabirinVR dibuat menggunakan SDK GoogleVR dengan Metode Collision Detection dan Penglihatan Stereoscopic. Interaksi permainan memanfaatkan sensor Accelerometer dan Gyroscope. Aplikasi mampu menambah kemampuan berpikir, kreativitas, serta wawasan pengetahuan umum Indonesia dan dunia. Hasil pengujian fungsi aplikasi adalah 100% valid dan penilaian aplikasi memiliki tingkat kelayakan 98%, sehingga aplikasi memiliki nilai UAT (User Acceptence Test) [2] yang baik, serta diterima dan digunakan masyarakat.
Imam Riadi, Abdul Fadlil, Fahmi Auliya Tsani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 84-95; https://doi.org/10.24843/lkjiti.2022.v13.i02.p02

Abstract:
One of the popular cryptographic algorithms is the Vigenère Cipher. This algorithm is included in classical cryptographic algorithms, so its capabilities are limited to text-type data. Through this research, this research try to modify the Vigenère Cipher so that it can be used on digital image media. The improvement is performed using ASCII code as a Vigenère table and the key generated by the SHA512 hash technique with salt. The encryption and decryption process was carried out on ten jpg and ten png files and showed a 100% success rate. Speed and memory consumption tests on the encryption process by comparing it with the AES algorithm show that AES excels in speed with 409,467 Mb/swhile Vigenère wins in memory consumption by utilizing only 5,0007 Kb for every Kilobytes of the processed digital image file. 
Linda Perdana Wanti, Nur Wachid Adi Prasetya, Laura Sari, Lina Puspitasari, Annisa Romadloni
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 105-116; https://doi.org/10.24843/lkjiti.2022.v13.i02.p04

Abstract:
Preeclampsia is a disease often suffered by pregnant women caused by several factors such as a history of heredity, blood pressure, urine protein, and diabetes. The data sample used in this study is data on pregnant women in the 2020 time period recorded at health services in the former Cilacap Regency. This study was conducted to compare the final results of the Naive Bayes method and the certainty factor method in providing the results of a diagnosis of preeclampsia seen from the symptoms experienced by these pregnant women. The naïve Bayes approach provides decisions by managing statistical data and probabilities taken from the prediction of the likelihood of a pregnant woman showing symptoms of preeclampsia. Symptoms of preeclampsia, while the certainty factor method determines the certainty value of the diagnosis of preeclampsia in pregnant women based on the calculation of the CF value. The research output compares the two methods, showing that the certainty factor method provides more accurate diagnostic results than the Naive Bayes method. It happens because the CF method requires a minimum value of 0.2 and a maximum of 1 for each rule on the factors/symptoms involved, while the Naive Bayes method only requires values of 0 and 1 for each factor causing preeclampsia in pregnant women. 
Ditha Nurcahya Avianty, I Gede Pasek Suta Wijaya, Fitri Bimantoro
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 128-136; https://doi.org/10.24843/lkjiti.2022.v13.i02.p06

Abstract:
Coronavirus 2 (SARS-CoV-2) is the cause of an acute respiratory infectious disease that can cause death, popularly known as Covid-19. Several methods have been used to detect COVID-19-positive patients, such as rapid antigen and PCR. Another method as an alternative to confirming a positive patient for COVID-19 is through a lung examination using a chest X-ray image. Our previous research used the ANN method to distinguish COVID-19 suspect, pneumonia, or expected by using a Haar filter on Discrete Wavelet Transform (DWT) combined with seven Hu Moment Invariants. This work adopted the ANN method's feature sets for the Support Vector Machine (SVM), which aim to find the best SVM model appropriate for DWT and Hu moment-based features. Both approaches demonstrate promising results, but the SVM approach has slightly better results. The SVM's performances improve accuracy to 87.84% compared to the ANN approach with 86% accuracy.  
Syamsul Bahri, Muhammad Rijal Alfian, Nurul Fitriyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 96-104; https://doi.org/10.24843/lkjiti.2022.v13.i02.p03

Abstract:
Sunlight is an energy source that is a gift from God and is a source of life for living things, including humans as caliphs on earth. Judging from its impact, solar radiation is an environmental parameter that has positive and negative effects on human life. The pattern of distribution of solar radiation is important information for human life to be the attention of many people, both policymakers and researchers in the field of environment. This study objects to modeling the radiation of solar using a dynamic neural network (DNN) model. The data used in this research is the meteorological data of Mataram City for the period January 2018 to May 2019, which was obtained from the Department of Environment and Forestry of West Nusa Tenggara Province. In the development of this model, solar radiation was seen as a function of a combination of several variables related to meteorological (wind speed, wind direction, humidity, air pressure, and air temperature) and solar radiation data at some previous time. Considering the advantages and effectiveness of the activation function in the proposed DNN model learning process, this study's network learning in the hidden layer employed two activation functions: hyperbolic tangent (Type I) and hyperbolic tangent sigmoid functions (Type II). The output aggregation used two aggregates for each type: the weighted aggregation function (Type a) and the maximum function (Type b). The results of computer simulations based on the root of mean square error (RMSE) measure indicate that the model for modeling solar radiation in these two cases is quite accurate. Furthermore, it could be seen that the model's performance using the hyperbolic tangent activation function (Type b) is relatively better than the hyperbolic tangent sigmoid type of the activation function (Type a), with the RMSE values are 18.3924 and 18.4005, respectively.
Anita Desiani, Azhar Kholiq Affandi, Shania Putri Andhini, Sugandi Yahdin, Yuli Andirani, Muhammad Arhami
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 72-83; https://doi.org/10.24843/lkjiti.2022.v13.i02.p01

Abstract:
 The purpose of this study was to determine how the effect of using Bootstrapping Samples for resampling the Harlev dataset in improving the performance of single-cell pap smear classification by dealing with the data imbalance problem. The Harlev dataset used in this study consists of 917 data with 20 attributes. The number of classes on the label had data imbalance in the dataset that affected single-cell pap smear classification performance. The data imbalance in the classification causes machine learning algorithms to produce poor performance in the minority class because they were overwhelmed by the majority class. To overcome it, The resampling data could be used with Sample Bootstrapping. The results of the Sample Bootstrapping were evaluated using the Artificial Neural Network and K-Nearest Neighbors classification methods. The classification used was seven classes and two classes. The classification results using these two methods showed an increase in accuracy, precision, and recall values. The performance improvement reached 10.82% for the two classes classification and 35% for the seven classes classification. It was concluded that Sample Boostrapping was good and robust in improving the classification method. 
Oka Sudana, I.W. Wahyu Ivan M.J, Desy Purnami S.P
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 117-127; https://doi.org/10.24843/lkjiti.2022.v13.i02.p05

Abstract:
Hindu Mantram is chants of speech with supernatural powers, which should not be done carelessly. The Balinese Hindu Mantram is a modified form of the Hindu Mantram that adapts to the local wisdom of the Balinese Hindu Community. The problem is that there is no digital education platform regarding the Balinese Hindu Mantram. Based on these problems, a mobile-based information system was built that integrates the Balinese Hindu Mantram and Yadnya Ceremony with its ceremonial procession. This information system applied Model Tree and UAT with PSSUQ Method. This research aimed to develop an application that can be a platform to provide education about the Balinese Hindu Mantram and its relationships. The results obtained from this research were the E-Mantram Android mobile application that implemented the Tree Model and UAT results with a System Usefulness value of 1.94, Information Quality of 2.06, Interface Quality of 2.06, and Overall of 2.01.
I Putu Kerta Yasa, Ni Kadek Dwi Rusjayanthi, Wan Siti Maisarah Binti Mohd Luthfi
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 23-34; https://doi.org/10.24843/lkjiti.2022.v13.i01.p03

Abstract:
Stroke is a disease caused by blockage or rupture of blood vessels in the brain due to disruption of blood flow, where the blood supply to an area of the brain is suddenly interrupted. This study discusses stroke classification using the K-Means and Deep Learning methods. This study aims to segment patient data to produce patient class labels and classify the results of grouping the data to test the performance of the classification algorithm used. The 4,906 patient data used in this study were grouped using the K-Means method into multiple clusters, including 2 clusters, 3 clusters, 4 clusters, and 5 clusters, and the data grouping findings will be classified. The cluster validation method is the Davies Bouldin Index and the Silhouette Index, while the algorithm used in the classification process is the Deep Learning Algorithm. The classification results produce the most excellent accuracy value in the number of clusters tested, namely 2 clusters of 99.71%. 
Antonius Rachmat Chrismanto, Afiahayati Afiahayati, Yunita Sari, Anny Kartika Sari, Yohanes Suyanto
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 46-59; https://doi.org/10.24843/lkjiti.2022.v13.i01.p05

Abstract:
The more popular a public figure on Instagram (IG), the number of followers also increase. When a public figure posts something, there are many comments from other users. In fact, from all the comments, not all of them are relevant to the post, such as advertising, links, or clickbait comments. The type of comments that are irrelevant to the post is usually called spam comments.  Spam comments will interfere with information flow and may lead to misleading information.  This research compares machine learning (ML) and deep learning (DL) classification methods based on our collected Indonesian IG spam comment dataset. This research was conducted in the following steps: dataset preparation, pre-processing, simple normalization, features generation using TF-IDF and word embedding, application of ML and DL classification methods, performance evaluation, and comparison. The authors compare accuracy, F-1, precision, and recall from ML and DL results. This research shows that ML and DL methods do not significantly differ.The Linear SVM, Extreme Tree (ET), Regression, and Stochastics Gradient Descent algorithms can reach the accuracy of 0.93. At the same time, the DL method has the highest accuracy of 0.94 using the SimpleTransformer BERT architecture.  The difference between ML and DL methods is not significantly different.
Arie Rachmad Syulistyo, Milyun Ni'Ma Shoumi, Ridwan Rismanto
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 11-22; https://doi.org/10.24843/lkjiti.2022.v13.i01.p02

Abstract:
Long car queues are often encountered in some public facilities because visitors should be around to find an empty parking space. One way to minimize this case is to use a parking information system that shows the location of the parking lot that is empty or occupied with their amounts. This research presented two digital image processing methods for detecting empty space occupied in the image of the car parking area. There are vehicle detection and edge detection method. Vehicle detection is the method used to detect objects in the image by subtracting the parking area image, an empty parking lot, from the image containing the car.In contrast, the edge detection method detects the object's edge. The results from these two methods were then compared using the AND function to obtain the condition of an empty or occupied box for each box in the parking lot. Threshold values affect the determination of the parking lot. In this research, the data used are images of open car parks in the Malang Town Square (Matos) shopping center, Mall Olympic Garden (MOG), and data sourced from journals with similar topics [16]. The test results show that the best detection results are obtained in detecting occupied parking spaces in the parking lot in Malang Town Square (Matos), with a threshold of 10 and an accuracy of 99.4% with a threshold of 10. 
I Putu Bagus Gede Prasetyo Raharja, I Made Suwija Putra, Tony Le
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 1-10; https://doi.org/10.24843/lkjiti.2022.v13.i01.p01

Abstract:
Balinese traditional carvings are Balinese culture that can easily be found on the island of Bali, starting from the decoration of Hindu temples and traditional Balinese houses. One of the types of Balinese traditional carving ornaments is Kekarangan ornament carving. Apart from the many traditional Balinese carvings, Balinese people only know the shape of the carving without knowing the name and characteristics of the carving itself. Lack of understanding in traditional Balinese carving is caused by the difficulty of finding sources of materials to study traditional Balinese carvings. A traditional Kekarangan Balinese carving classification system can help Balinese people to identify classes of traditional Balinese carving. This study used the Gabor CNN method. The Multi Orientation Gabor Filter is used in feature extraction and image augmentation, coupled with the Convolutional Neural Network method for image classification. The usage of the Gabor CNN method can produce the highest image classification accuracy of 89%.
Parmonangan R. Togatorop, Megawati Sianturi, David Simamora, Desriyani Silaen
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 60-71; https://doi.org/10.24843/lkjiti.2022.v13.i01.p06

Abstract:
Heart disease is a leading cause of death worldwide, and the need for effective predictive systems is a major source of the need to treat affected patients. This study aimed to determine how to improve the accuracy of Random Forest in predicting and classifying heart disease. The experiments performed in this study were designed to select the most optimal parameters using an RF optimization technique using GA. The Genetic Algorithm (GA) is used to optimize RF parameters to predict and classify heart disease. Optimization of the Random Forest parameter using a genetic algorithm is carried out by using the Random Forest parameter as input for the initial population in the Genetic Algorithm. The Random Forest parameter undergoes a series of processes from the Genetic Algorithm: Selection, Crossover Rate, and Mutation Rate. The chromosome that has survived the evolution of the Genetic Algorithm is the best population or best parameter Random Forest. The best parameters are stored in the hall of fame module in the DEAP library and used for the classification process in Random Forest. The optimized RF parameters are max_depth, max_features, n_estimator, min_sample_leaf, and min_sample_leaf. The experimental process performed in RF uses the default parameters, random search, and grid search. Overall, the accuracy obtained for each experiment is the default parameter 82.5%, random search 82%, and grid search 83%. The RF+GA performance is 85.83%; this result is affected by the GA parameters are generations, population, crossover, and mutation. This shows that the Genetic Algorithm can be used to optimize the parameters of Random Forest. 
Furqon Hensan Muttaqien, Inna Syafarina, Intan Nuni Wahyuni, Arnida Lailatul Latifah
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 13, pp 35-45; https://doi.org/10.24843/lkjiti.2022.v13.i01.p04

Abstract:
Areas covered by tropical forests, such as Borneo, are vulnerable to fires. Previous studies have shown that climate data is one of the critical factors affecting forest fire. This study aims to predict the forest fire over Borneo by considering the temporal aspects of the climate data. A time seriesbased model, Long Short-Term Memory (LSTM), is used. Three LSTM models are applied: Basic LSTM, Bidirectional LSTM, and Stacked LSTM. Three different experiments from January 1998 to December 2015 are conducted by examining climate data, Oceanic Nino Index (ONI), and Indian Ocean Dipole (IOD) index. The proposed model is evaluated by Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and correlation number. As a result, all models can capture the spatial and temporal pattern of the forest fires for all three experiments, in which the best prediction occurs in September with a spatial correlation of more than 0.75. Based on the evaluation metrics, Stacked LSTM in Experiment 1 is slightly superior, with the highest annual pattern correlation (0.89) and lowest error (MAE= 0.71 and RMSE=1.32). This finding reveals that an additional ONI and IOD index as the prediction features would not improve the model performance generally, but it specifically improves the extreme event value.
Komang Try Wiguna Adhitya Primantara, Putu Wira Bhuana, Kyle Doran
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 12, pp 151-162; https://doi.org/10.24843/lkjiti.2021.v12.i03.p03

Abstract:
Environmental pollution is a global issue that occurs at this time. It is caused by various human activities that produce pollutants that endanger their lives. By utilizing current technology, it is possible to design a Water and Air Quality Monitoring System based on the Internet of Things to monitor air and water quality quickly and in real-time in the surrounding environment. The users can access this system via the web and Android / IOS mobile applications that display the data obtained by the sensor in the form of real-time graphics of water and air conditions. In addition, this system consists of several sensor nodes in charge of providing field data regarding the parameters used as the basis for assessing water and air quality according to the applicable standards in Indonesia. Sensors for water using a Turbidity Sensor, DS18B20 Sensor, PH Sensor, DHT 11, and TDS (Total Dissolved Solids) Sensor. Sensors for air consist of the DHT11 sensor, the MQ-7sensor, the MQ-135 sensor, and the dust sensor GP2Y1010AU0F.
Ni Nyoman Pujianiki, I Nyoman Sudi Parwata, Takahiro Osawa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 12, pp 175-185; https://doi.org/10.24843/lkjiti.2021.v12.i03.p05

Abstract:
This study proposes a new simple procedure for extracting coastline from Synthetic Aperture Radar (SAR) images by utilizing a low-pass filter and edge detection algorithm. The low-pass filter is used to improve the histogram of the pixel value of the SAR image. It provides better distribution of pixel value and makes it easy to separate between sea and land surfaces. This study provides the processing steps using open-source software, i.e., SNAP SAR processor and QGIS application. This procedure has been tested using dual polarization Sentinel-1 (10x10 meters resolution) and single polarization ALOS-2 (3x3 meters resolution) dataset. The results show that using Sentinel-1 with dual polarization (VH) provides a better result than single polarization (VV). In the ALOS-2 case, only single polarization (HH) is available. However, even using only HH polarization, ALOS-2 provides a good result. In terms of resolution, ALOS-2 provides a better coastline than Sentinel-1 data due to ALOS-2 has better resolution. This procedure is expected to be helpful to detect coastline changes and for coastal area management.
Ratna Aisuwarya, Ibrahim Saputra, Dodon Yendri
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 12, pp 163-174; https://doi.org/10.24843/lkjiti.2021.v12.i03.p04

Abstract:
The need for unmanned vehicles is increasingly needed in certain conditions, such as distribution of disaster supply, distribution of medicines, distribution of vaccines in the affected areas in pandemic situations. The various types of goods to be distributed require a different fulcrum. This research implemented PID control for the quadcopter balance control system to achieve stability during hovering. PID control is used to achieve a certain setpoint to produce the required PWM output for the propeller to reach a speed that can fly the quadcopter tilted until it reaches a steady state. Tests were carried out on the roll and pitch motion of the quadcopter by providing a load. The results show that PID control can be implemented for the quadcopter balance control system during hovering by determining the PID constants for each roll and pitch motion with the constanta of Kp = 0.15, Kd = 0.108, and Ki = 0.05. The quadcopter takes 3 – 6 seconds to return to the 0 degree setpoint when it is loaded.
Annas Wahyu Ramadhan, Didit Adytia, Deni Saepudin, Semeidi Husrin, Adiwijaya Adiwijaya
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 12, pp 130-140; https://doi.org/10.24843/lkjiti.2021.v12.i03.p01

Abstract:
Sea-level forecasting is essential for coastal development planning and minimizing their signi?cantconsequences in coastal operations, such as naval engineering and navigation. Conventional sealevel predictions, such as tidal harmonic analysis, do not consider the in?uence of non-tidal elementsand require long-term historical sea level data. In this paper, two deep learning approachesare applied to forecast sea level. The ?rst deep learning is Recurrent Neural Network (RNN), andthe second is Long Short Term Memory (LSTM). Sea level data was obtained from IDSL (InexpensiveDevice for Sea Level Measurement) at Sebesi, Sunda Strait, Indonesia. We trained themodel for forecasting 3, 5, 7, 10, and 14 days using three months of hourly data in 2020 from 1stMay to 1st August. We compared forecasting results with RNN and LSTM with the results of theconventional method, namely tidal harmonic analysis. The LSTM’s results showed better performancethan the RNN and the tidal harmonic analysis, with a correlation coef?cient of R2 0.97 andan RMSE value of 0.036 for the 14 days prediction. Moreover, RNN and LSTM can accommodatenon-tidal harmonic data such as sea level anomalies.
I Putu Agus Eka Darma Udayana, Made Sudarma, Ni Wayan Sri Ariyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, Volume 12, pp 186-195; https://doi.org/10.24843/lkjiti.2021.v12.i03.p06

Abstract:
Epworth sleepiness scale is a self-assessment method in sleep medicine that has been proven to be a good predictor of obstructive sleep apnea. However, the over-reliance of the method making the process not socially distancing friendly enough in response to a global covid-19 pandemic. A study states that the Epworth sleepiness scale is correlated with the brainwave signal that commercial-grade EEG can capture. This study tried to train a classifier powered by CNN and deep learning that could perform as well as the Epworth with the objectiveness of brainwave signal. We test the classifier using the 20 university student using the Epworth sleepiness test beforehand. Then, we put the participant in 10 minutes EEG session, downsampling the data for normalization purposes and trying to predict the outcome of the ESS in respect of their brainwave state. The AI predict the reaching 65% of accuracy and 81% of sensitivity with just under 100.000 dataset which is excellent considering small dataset although this still have plenty room for improvement.
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