Jurnal Komputer Terapan

Rancang Bangun Sistem Irigasi Cerdas Menggunakan Metode Fuzzy Rule-Based untuk Otomatisasi Pintu Air dan Pendeteksian Endapan

2022-05-09T07:44:33+00:00

Water is one of the keys to the success of rice farming. Rice fields that are always flooded can produce 5.92 tons per hectare while those that are not flooded only produce 4.80 tons per hectare. Irrigation channels that support the availability of water often experience problems such as silt deposits, water distribution based on estimates, and water theft. Therefore, the author proposes an intelligent irrigation system that is able to automate the control and supervision of floodgates through the internet network. The result of this research is a prototype system that can work well, with an average measurement error of 2.1% by ultrasonic sensors, and the conductivity of water flow with silt is above 641 points. Radio-based communications and TCP/IP require lower operational costs than SMS-based GSM methods. Radio-based technology and TCP/IP can save operating costs by 97.5% compared to GSM technology. The system is also capable of sending 16 data to the server in one minute. Overall, the system has worked well to automate the floodgates, and detect sludge.

Rancang Bangun Sistem Informasi Rental Mobil Bebasis Web (Studi Kasus: Zelta Rent Car)

2022-05-10T00:20:31+00:00

Zelta Rent Car is one of the car rentals engaged in car rental services that has a center and branch by providing information through one customer to another, it turns out that this method is less effective because the manager cannot provide complete information about the car being rented and does not there is a notification of the departure schedule so that the customer forgets the departure from the center or branch. Based on the problems of this research, a web-based car rental information system and an integrated SMS gateway were built, both from the center and branches using the RestfullApi webservice. This system was built using the prototyping method to make it easier for users to get an overview of the applications created. The purpose of this application also became solution to make it easier for customers to obtain car information and departure notifications that can assist in ordering cars that are integrated with each other from the center or branches. Based on testing Blackbox testing and User Acceptance Testing (UAT) can be concluded that the functional requirements of the system are running well. Applications can provide complete information about rented cars and make it easier for customers because of the notification of the departure schedule.

Recommendation System for Collegian Student's Weekly Course Schedule

2022-05-10T00:23:47+00:00

Existing research on course scheduling was conducted only from the institutional side. However, students usually have other considerations, such as routine activities outside of class, course time, holidays in a week of study, and lead time between courses. These conditions had never been taken into consideration in existing research. In this paper, a recommendation system was proposed using Depth First Search and Simple Multi Attribute Ranking Technique methods. Depth First Search method was used to find all possible alternative schedules. All the possible alternative schedules were used to determine the schedule that best suits student preferences using Simple Multi Attribute Ranking Technique method. The system performance was measured through simulation to get course schedule recommendations for 28 students. The simulation results were compared with the ideal schedule desired by the students and the real course schedule for those students. The accuracy of the recommended schedule against the ideal schedule desired by students was 70.8% with an average processing time of 1.05 seconds. The accuracy of the recommended schedule increased to about 91% when compared to the actual student courses schedule. So it can be concluded that the research can help to recommend students' weekly class schedules in real terms.

Artificial Intelligence Automatic Speech Recognition (ASR) untuk pencarian potongan ayat Al-Qu’ran

2022-05-10T00:31:12+00:00

Indonesia is a country with the largest number of Muslims in the world, who read verses of the Qur'an often heard in various public places such as mosques, prayer rooms, and at various activities. Utilization of Automatic Speech Recognition (ASR) as word recognition which aims to find out the verses of the Qur'an that are read to increase knowledge about the verses and other supporting information as a means of preaching in conveying knowledge about the verses of Al-Qur'an. Al-Qur'an. Automatic Speech Recognitions (ASR) is designed using the Python programming language and uses the Django framework to display information about the verses that are read in the form of a web-based display. This research aims to create a technique and system for entering voice commands into machines, so that machines can understand what humans say and obey what they are told. This application converts data into text data using a voice recognition system automatically with a digital audio pattern of spoken words from a speech pattern computer model to produce the final output in the form of text that is stored in the database.

Application System for Checking Halal Product Status Using QR-Code Based on Android and Web

2022-05-10T00:33:13+00:00

This paper presents the design of an application system to quickly determine the halal product status circulating in Indonesian society by checking certification ID from LPPOM MUI. This is conducted to overcome the anxiety of the Muslim community in Indonesia on halal-labelled products that are sold in supermarkets and traditional markets. The system consists of two parts. Part one of the system uses PHP programming to record the halal certification of products and generate QR codes. Part two of the system uses an android application to scan the product's halal certification status from the QR codes. The information displayed on android is the product's name, the product manufacturer, the status of the product's halal certification, and other information. The results show that the application successfully scans the QR code and displays information on the halal certification status of the product. The smallest size of QR code version 1 that can be scanned is 0.6 x 06cm. The longest distance was 13cm.

Implementasi Teknologi RFID Pada Aplikasi Buku Tamu Undangan

2022-05-10T01:12:01+00:00

Peran teknologi informasi dalam pendidikan juga sangat besar. Peran buku tamu atau guestbook sebagai bukti kegiatan pelayanan teknologi informasi. Membuat buku tamu untuk mencatat kehadiran pengunjung. Fungsi dasar penggunaan buku tamu adalah untuk mencatat pengunjung atau orang yang berkunjung ke suatu tempat, lembaga atau perpustakaan. Pendaftaran informasi tamu masih terutama melalui catatan log, dan tamu sering mengalami kesalahan, membuat buku tamu berantakan dan bersih, dan jika ingin mencari informasi tamu yang sudah lama disimpan, akan memakan waktu lama mencari. Data tamu akan lebih sulit, Buku tamu ini mengadopsi teknologi RFID, sehingga RFID dapat digunakan sebagai solusi alternatif untuk mengidentifikasi data pengunjung yang tersimpan dalam program database dengan mendukung gelombang elektromagnetik. Hasil untuk penelitian ini ialah sistem absensi menunggu tag RFID dimasukkan. Ketika tag RFID terdeteksi, pembaca RFID mengambil data dari tag RFID dan kemudian mengirimkannya ke situs web melalui NodeMCU ESP8226 sebagai data input. Jika data tersebut merupakan data input yang dibutuhkan oleh website, maka data tersebut disimpan dalam database. Langkah selanjutnya terjadi di area menu hasil pembacaan kartu ID jika data yang tersimpan di database dapat diambil secara otomatis dengan RFID.

Evaluasi Effectiveness dan Satisfaction Quality in Use Model pada Aplikasi Bank Sampah Dinas Lingkungan Hidup dan Kebersihan (DLHK) Kota Pekanbaru

2022-05-10T08:54:36+00:00

Dinas Lingkungan Hidup dan Kebersihan (DLHK) Pekanbaru bertanggung jawab untuk mengurusi kebersihan kota Pekanbaru. Dalam mengelola kebersihan, pihak DLHK memiliki beberapa program dalam mengedukasi masyarakat dalam hal pengurangan sampah seperti mengelola sampah rumah tangga melalui Bank Sampah. Saat ini DLHK Pekanbaru telah memiliki aplikasi Bank Sampah. Aplikasi tersebut masih dalam uji coba pemakaian. Selama uji coba, ditemukan adanya fitur yang masih berubah karena adanya perubahan bisnis proses. Kemudian adanya permasalahan penggunaan aplikasi yang masih belum familiar oleh pengguna nasabah sehingga kesulitan menggunakan aplikasi tersebut untuk melakukan transaksi sampah. Hal ini dapat menyebabkan tidak tercapainya peningkatan jumlah nasabah seiring dengan kemudahan pelayanan dalam proses transaksi di Bank. Berdasarkan permasalahan tersebut, maka perlu dilakukan pengujian kualitas dalam hal penggunaan system (Quality in Use) untuk karakteristik Effectiveness dan Satisfaction. Berdasarkan hasil evaluasi Effectiveness diperoleh nilai maksimal pada hasil UAT kedua yaitu seluruh task sudah berjalan dengan benar dan tidak ditemukannya error terhadap fungsi. Sedangkan hasil evaluasi Satisfaction telah memenuhi kebutuhan pengguna untuk setiap sub karakteristik kualitas yaitu Usefulness, Trust, Pleasure dan Comfort. Setiap measurement menghasilkan nilai persentase skor berada pada rentang 80%-100% yang memiliki interpretasi sangat puas atau sangat setuju untuk setiap sub karakteristik kualitas yang dievaluasi.

Pengembangan Sistem Informasi Pengelolaan Program Kreativitas Mahasiswa Politeknik Caltex Riau

2022-05-10T08:56:38+00:00

One of the efforts to encourage student creativity is to include and participate in the Program Kreativitas Mahasiswa (PKM), the Ministry of Education and Culture initiated. Politeknik Caltex Riau (PCR), through the study program and Student Affairs, manages this PKM to encourage students to innovate and be involved in this PKM. However, the ongoing PKM management has not been well documented, so post-PKM activities are not followed up. It is necessary to have an information system that is used as a media for documenting this PKM management. Information System of Program Kreativitas Mahasiswa (SI PKM) was developed using the Software Development Life Cycle (SDLC) approach; the process is carried out from gathering stakeholder needs, business process analysis, model development, and implementation into the program. The resulting information system can provide a recap of PKM activities, monitoring of guidance carried out between students and lecturers, and visualization in the form of a dashboard to see the involvement of students and study programs in PKM. Based on the results of the Blackbox testing that has been carried out, it is concluded that the PKM management information system has been running well.

Learning Impact Role Playing Game Edukasi Terhadap Motivasi Belajar Sejarah Siswa

2022-05-10T09:03:21+00:00

This research is motivated by the lack of student motivation in learning history. Students find history lessons full of memorization and boring. Even though studying history has an important role in the life of a nation because history lessons instill values of the spirit of patriotism, provide moral values, and build the character of a nation. Therefore, this study aims to see the historical Role Playing Game (RPG) 's learning impact on learning motivation and teaching the value of student attitudes from the material presented in the game. The method used in this research is a quantitative research method. The research subjects were 32 students of SMAN 9 Pekanbaru. Data was collected through a questionnaire with a reliability value of r_xy = 0.884 and a validity value = 0.645 (> 0.349). The result showed that students' learning motivation significantly impacts their attitude and knowledge value. The RPG game of historical education gives effect to 88% knowledge improvement, attitude (patriotism, moral values , and critical thinking) by 87% motivation, so that students are interested to learn and feel not bored with the average value of 89% with an excellent appraisal. Attitude values, and historical knowledge in the educational game, have a positive relationship with the motivation to learn. Learning history using historical RPG games provides a positive learning impact on student's motivation to learn history.

Implementation of Parallel Programming in One-Dimensional Electromagnetic Simulation with the FDTD Method

2022-05-23T01:49:33+00:00

Simulation of electromagnetic in 1D has been done using FDTD method. The simulation is conducted on some scenario, starting from one-dimensional free space, absorbing boundary condition in one dimension, propagation in a dielectric medium, simulating different sources, and propagation in a lossy dielectric medium. To accelerate calculation process, parallel programming technique is used on looping parts of simulation.

Knowledge Graph Modeling in Healthcare: A Bibliometric Analysis

2022-05-12T01:33:41+00:00

Healthcare issues are currently the most researched issues worldwide. Many healthcare researchers collaborate with non-healthcare researchers to improve the quality of healthcare. The knowledge graph is a widely used computer science and mathematics approach to solve healthcare issues. It can model the relationship between events to build new knowledge. Hence, a comprehensive study on knowledge graph modeling in healthcare was conducted in this study. The research methodologies in this study were: (1) article retrieval and general bibliometric analysis; (2) visualization of research distribution; and (3) research recommendations. In the last three years, 867 articles were retrieved from three databases. The citation metrics analysis was also conducted to determine the quality level of articles retrieval. An analysis was conducted using network and density visualization related to the relationship between research topics and trends. The final results in this paper are recommendations for research topics and research titles related to knowledge graph modeling in healthcare.

Rancang Bangun Sistem Informasi Pemesanan Wedding Organizer Berbasis Android (Studi Kasus: Kota Pekanbaru)

2021-11-27T06:45:05+00:00

Wedding Organizer is a service that helps in the preparation and implementation of a wedding party. In this system, users can choose concepts to use such as aisles and decorations, wedding dresses, make-up, documentation, catering, and entertainment. This application is using android platform and build with the prototyping method. The result of this research is users can place an order for a wedding organizer via online. Based on functionality testing, the application that has been built runs as expected. Meanwhile, based on the questionnaire testing of the respondents, it was found that 70.68% agreed that this application was useful. And based on the results of usability testing, it was found that 72.0% of respondents agreed that the application was useful or usefulness, 78.0% of respondents agreed that the system was easy to use or ease of use, then 81.3% of respondents agreed the system was easy to learn, and 74.0% of respondents agree the resulting application is satisfactory and in accordance with expectations or satisfaction

Static Forensic Pada USB Mass Storage Menggunakan Forensics Toolkit Imager

2022-05-10T01:00:24+00:00

The increase in the use of USB storage devices tends to be massive & exponential due to various aspects, one of which is the size and affordable price of USB storage devices. Currently, the quality of handling cybercrime in Indonesia is still minimal, starting with the problem of collecting evidence that tends to be incomplete, errors during the process of acquiring evidence to the most severe loss and damage to the evidence. Static Forensics is one type of digital forensics method that obtains digital evidence by extracting and analyzing it after an incident occurs, or after the computer system is turned off (post-incident). The NIST Framework is a reference for the digital evidence retrieval and processing process, which was developed by the National Institute of Standards and Technology. The results obtained from the analysis of digital evidence recovery using static forensics methods combined with the NIST framework can be applied properly and optimally. The test was carried out 20 times, with the results of the digital evidence recovery accuracy reaching 100% on the three devices. Therefore, a combination of methods, frameworks and related tools is recommended to process cases related to digital forensics, especially the digital evidence recovery process.

Sistem Rekomendasi Berbasis-Konten Untuk Pengembangan Web Smart Tourism

2021-12-29T04:03:47+00:00

The utilization of the internet in the tourism is very helpful for tourists in planning trips, including in exploring local tourist areas. The existence of special media such as smart tourism web facilities to publish local tourist attractions and tourist facilities in the local area certainly help stakeholders and tourists. To facilitate the tourists as web users to access information about visited area, it is necessary to have a recommendation system that can provide a recommendation regarding the tourist needs such as tourist destinations, lodging, restaurants and even souvenir shops typical of the local area. Recommendation system development can be done through two basic methods, namely: Content Based Recommendation and Collaborative Filtering. This study aims to show how to implement content-based filtering in providing content-based recommendations on supporting the development of smart tourism webby utilizing cosine similarity and K-Nearest Neighbor. This study shows that Content Based Recommendation can provide recommendation according to the tourist needs based on the content that has been selected by other users.

Kubernetes Cluster Performance Comparison with KVM, Vagrant and LXD Virtualization

2022-01-12T10:34:15+00:00

The development of technology that can package an application and its needs in a virtualization called a container, therefore we need a software that can manage containers, one of which is docker. However, the need is always increasing, the system is not able to accommodate many applications, therefore we need a software capable of managing clustering containers on a large scale. One such software is Kubernetes. Kubernetes can run in virtualization, virtualization that can run Kubernetes in it include vagrant, LXD and KVM. In this study, a comparison was made between the 3 types of virtualization, the comparison was made to see the success rate of high-availability, scalability and performance testing. The results of the research that was carried out when the Kubernetes cluster was implemented in Vagrant, LXD and KVM virtualization, it was found that KVM virtualization is superior to Vagrant and LXD virtualization, which can be seen from the large difference in latency and performance tests between the two virtualizations.

Real-time Gender Identification Using Voice On Raspberry Pi

2022-05-10T00:53:49+00:00

The voice of each speaker has a unique specific character, influenced by gender, age, emotion, dialect, etc. The use of voice-based gender identification is growing rapidly, such as in the fields of security systems, speech recognition, artificial intelligence, etc. However, in speech processing, there are difficulties where the characteristics of the speech signal based on increasing age are difficult to determine accuracy, and there are overlapping fundamental frequency values between males and females. In this research, modeling of a gender identification system based on voice in real-time has been carried out on a Raspberry Pi device. This system is implemented by 2 methods, namely the YIN algorithm and feature extraction of Mel-Frequency Cepstral Coefficient (MFCC). The test results showed that the success of identification in the tuning parameters of scheme two is better than the first scheme by narrowing the overlapping frequency parameters. In the female test data in the closed test, the accuracy is from 98% to 100%, then in the open test starts from 92% to 96%. Meanwhile, the test data for the male closed test increased from 92% to 98%, and the open test started at 90% and rose to 94%. It indicates that the data used in this research is more suitable to use the second scheme parameter tuning to increase the accuracy of the results.

Mechanism of Reciprocity Channel Probing Improvement on LoRaWAN Using Savitzky Golay Filter

2022-05-10T00:36:36+00:00

Pada komunikasi Wireless seperti LoRa perlu adanya pembangkitan kunci untuk pengamanan data. Hal ini dilakukan agar data yang dikirimkan tidak mudah di serang oleh attacker. Salah satu cara mendapatkan kunci yang tepat adalah dengan pengkondisian nilai koefisien korelasi RSSI yang tinggi. Pada penelitian ini dibuat sebuah sistem untuk meningkatkan Reciprocity Channel Probing agar didapatkan nilai koefisien korelasi yang tinggi. Sistem dirancang dengan menggunakan metode Savitzky Golay Filter. Pengujian dilakukan pada dua kondisi yaitu indoor dan outdoor, dan dengan menggunakan nilai Spreading Factor dari SF-7 sampai SF-10. Hasil koefisien korelasi pengukuran menunjukkan bahwa pada kondisi outdoor lebih baik dibandingkan kondisi indoor. Nilai koefisien korelasi pengukuran tertinggi pada kondisi indoor yaitu 0.51 saat SF-10. Sedangkan pada kondisi outdoor nilai koefisien korelasi pengukuran tertinggi yaitu 0.81 saat SF-7. Metode Savitzky Golay Filter mampu meningkatkan koefisien korelasi sampai dengan 67.52% pada pengujian indoor. Rata-rata persentase kenaikan pada kondisi indoor yaitu lebih dari 30% dan kondisi outdoor lebih dari 15%. Dari hasil tersebut dapat diketahui bahwa metode Savitzky Golay Filter cocok digunakan untuk tahap pra proses karena mampu meningkatkan nilai koefisien korelasi secara signifikan.

Algorithm K-Means Clustering Algorithm to Classify the Level of Legal Information Service Objectives in West Java Province

2021-12-13T00:16:49+00:00

Legal Documentation and Information Network (JDIH) is one of the government agencies in the field of law, which is regulated by Presidential Regulation Number 33 of 2012. JDIH consists of central and regional levels, at the provincial level the Bureau of Law and Human Rights is the center of JDIH in its territory. JDIH at the provincial level has the duties and functions to provide guidance and evaluation at the members. To measure the level of community satisfaction with JDIH members in West Java, a survey was conducted using the 360 review method on the website https://jdih.jabarprov.go.id/review.php/. The results contained 18,045 raw data. After preprocessing, 46 datasets and 11 attributes were generated. Cluster modeling uses the K-Means algorithm, the results are evaluated by the Davies Boulding Index (DBI) method. Evaluation results show a low level of similarity so that the distance between clusters is getting higher. On this study is classified into 4 clusters, the lowest satisfaction indicator is known to be in cluster 3 which consists of 10 regions. In this research can be used to determining policies for the government of West Java Province.

Deteksi Tangan Otomatis Pada Video Percakapan Bahasa Isyarat Indonesia Menggunakan Metode Deep Gated Recurrent Unit (GRU)

2021-11-27T06:11:08+00:00

Tunarungu adalah hilangnya pendengaran baik salah satu telinga maupun keduanya. Untuk melakukan komunikasi tunarungu menggunakan bahasa isyarat menggunakan kedua tangannya. Saat ini terdapat 2 sistem bahasa isyarat yaitu BISINDO dan SIBI. Bahasa isyarat adalah bahasa yang menggunakan gerakan tubuh berupa tangan dan bibir untuk menjelaskan sebuah arti. Namun masih banyak masyarakat yang belum paham dengan bahasa isyarat, oleh karena itu dilakukan sebuah penelitian dengan menggunakan metode deep gated recurrent unit (GRU) yang dapat membaca gerakan tangan pada video bahasa isyarat indonesia. Penelitian ini menggunakan 3 class yaitu ucapan hallo, terimakasih, dan sama sama. Tahapan yang dilakukan pada penelitian ini terdiri dari pengolahan video atau proses pre-processing pada video. Pengujian terhadap 45 video data training dan 36 video data testing. Pengujian yang dilakukan terhadap data testing menghasilkan nilai akurasi sebesar 88%.

Implementasi Ekstraksi Fitur untuk Pengelompokan Dokumen Proposal Menggunakan Algoritma Naïve Bayes

2022-06-20T02:54:34+00:00

Text mining is the process of discovering new, previously unknown information from several text documents. Text mining can be applied to the fields of information extraction, topic tracking, document summarization, document categorization or grouping, concept linking or question answering systems. One thing that is often done in implementing text mining is information extraction. Information extraction aims to extract information from unstructured documents into structured data, with the aim of making it easier to analyze the data. In this study, feature extraction will be used to extract features from the Community Service document, using the Frequent Itemset Mining (FIM) algorithm. The features taken are PKM Title, Abstract, Year of Service, Location, and research topic. After obtaining the features, the service topics will be grouped using the Naive Bayes algorithm. The results of this study were tested using a confusion matrix, with an accuracy of 70%. Factors that affect the accuracy results include the amount of training data, the distribution of training data, and the optimization of the algorithm used