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All Journal Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen JOINTECOMS (Journal of Information Technology and Computer Science)

Sahay, Abertun Sagit

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Author-ID : 1257264

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Deteksi COVID-19 Berdasarkan Hasil Rontgen Dada (Chest Xray) Menggunakan Python Pratama, Pebri Andhi Herry; Teguh, Rony; Sahay, Abertun Sagit; Wilentine, Valencia
Journal of Information Technology and Computer Science Vol. 1 No. 1 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Chest X-ray have an important function in the three areas of healthcare, namely diagnosis, treatment and re-examination. Studies from China suggest Chest Radiographs (X-Ray) and Chest Computed Comography (CT) scans can help diagnose COVID-19. Therefore, chest x-rays (x-rays) and chest computed tomography (CT) are appropriate methods for lung infections due to COVID-19. Based on this, the authors tried to make a model for the classification of digital images of Chest X-Ray results with the labels of Normal, Pneumonia, Tuberculosis (TBC), and COVID-19. Through the resulting model, the best model to use will be compared. The method used to create this model is through training and testing the dataset using the Convolutional Neural Network (CNN) architectural model, namely VGG19, ResNet50, and InceptionV3. The number of images used is 1,000 Chest X-Ray images. The dataset is divided into training and validation datasets in several ratios of 20% : 80%, 50%: 50%, and 80%: 20%. While testing uses 10% from train datset chest x-ray images as a confusion matrix dataset and 4 chest x-ray images as a prediction dataset. From the results of the research that has been done, the best model is VGG19 at 41 of 61 epoch and a ratio of 20% : 80%. Where the VGG19 model produces 94.44% for accuracy and 0,1084 loss value for training. Whereas at the testing stage with a configuration matrix, 95% accuracy value was obtained. Then for testing the new data prediction produces the best accuracy with 98.97% accuracy for the Normal label, 99.16% for COVID-19, 99.56% for Pneumonia, and 99.79% for Tuberculosis (TBC).

Implementasi Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Penerima Bantuan Program Sembako Safitri, Mulia; Sahay, Abertun Sagit; Lestari, Ariesta
Journal of Information Technology and Computer Science Vol. 1 No. 1 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Pahandut Seberang Village has an average middle to the lower level of economy in the community, so most of the people still need assistance from the government. In Pahandut Seberang Village, the selection of recipients of the Smbako program assistance is still the old way by using from paper. The assessment process is still not transparent in nature and the selection process is very slow and receipt of Sembako programs assistance are not being on target. Therefore, to overcome this problem, a Decision Support System (SPK) is created to help the Pahandut Seberang Village in selecting the recipients prospective of Sembako program assistance In designing and building the system are using 2 development methods, namely the Waterfall method as a software development method and the Simple Additive Weighting (SAW) method as a decision support system method in its calculations. Where the saw method has 4 stages, namely determining the criteria, determining the suitability, making a decision matrix based on the criteria and normalizing the. The final result is obtained from the ranking, namely the sum of the normalized matrix multiplication R with the weight vector so that the largest value sas a solution. This system testing uses a Black-box testing system. The test results show that the system created has been running according to the expectations of the researcher. This research produces a decision support system for selection of the recipients prospective that can provide recommendations for the recipients prospective the Pahandut Seberang village.

Implementasi Algoritma Levenshtein Distance Untuk Pencarian Judul Skripsi Dan Menambahkan Fitur Autocomplete Pada Website Repository Skripsi Jurusan Teknik Informatika Universitas Palangka Raya Apriliansi, Elsa; Lestari, Ariesta; Sahay, Abertun Sagit
Journal of Information Technology and Computer Science Vol. 1 No. 2 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1529.151 KB)

Thesis is a scientific paper in the form of an exposition of research results. In saving a large number of theses, it takes a long time to search for thesis data one by one, so it requires a storage media that facilitates the speed in finding theses such as a repository. A website-based repository is one of the storage media that is needed to store the thesis data. In making their own repository website using the PHP programming language, MySQL database with a waterfall design model through the stages of analysis, design, programming, testing and maintenance. This website also adds the Levenshtein Distance algorithm to optimize searches so that search times become more efficient and adds an autocomplete feature that functions to provide word predictions or suggestions according to the characters typed by the user so as to help users search more for the words they want to search for. Based on the results of analysis and testing, the application of the Levenshtein Distance algorithm in finding the thesis title is able to display the thesis title which has the smallest or closest Distance value to the word inputted by the user. And for autocomplete itself, it is also able to display predictions or word suggestions that match the typed words and the calculation results for single target searches have an accuracy of 75% and multi-targets with 2 words have an accuracy of 50%. in accordance with the concept of the Levenshtein algorithm itself, the smaller the distance value obtained, the closer it is to the input thesis title.

Sistem Pakar Diagnosa Penyakit Lambung Berbasis Website Menggunakan Metode Forward Chaining & Certainty Factor Sahay, Abertun Sagit; Fitriah, Andi Nurul; Christian, Efrans
Journal of Information Technology and Computer Science Vol. 1 No. 3 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Gastric disease is a disease that cannot be underestimated, because if left unchecked it can result in other diseases appearing and can also cause death if not treated immediately. Diseases of the stomach can be caused by an inappropriate diet, a burden on the mind and also infections caused by bacteria. The little public knowledge of the early symptoms of gastric disease is the author's background to create a system that helps the public in obtaining information, consultation or initial treatment for gastric diseases without having to meet in person. The ability of an expert who can diagnose stomach diseases can be implemented into an application system. The methodology used in making the Gastric Disease Diagnosis Expert System Website is waterfall, namely analysis, design, implementation and testing. The testing phase focuses on the functional specifications of the program. In this Expert System, it uses the Forward Chaining method as reasoning and the Certainty Factor method to calculate the results of the yield trust. Hasil testing shows that this website can perform its function to diagnose gastric diseases. The test results are obtained from the inputs made by visitors by selecting the options that have been given and then will get the test results.

Rancang Bangun Bot Pengumuman Di Jurusan Teknik Informatika Universitas Palangka Raya Di Aplikasi Telegram Pranatawijaya, Viktor Handrianus; Wijaya, Kelvin; Sahay, Abertun Sagit
Journal of Information Technology and Computer Science Vol. 1 No. 3 (2021): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Announcement is a form of delivering information addressed to the general public. Announcement is a letter addressed to several people, agencies, or other parties whose names are too many to mention one by one. In the announcement in the Department of Informatics, University of Palangka Raya, it still uses a manual system. In a way that is still manual, it takes a lot of time in the process. Like what students have to do, they have to come check the latest announcements, and see new announcements through Whatsapp groups and Telegram groups. Therefore, with this problem, in the process of solving it, an Announcement Bot was made at the Department of Informatics, University of Palangka Raya on the Telegram Application which can complete the completion of finding the latest information by students. The stages of modeling the Announcement Bot in the Department of Informatics, University of Palangka Raya in the Telegram Application using the waterfall research methodology. Where, this methodology has several stages, namely, requirements definition, system and software design, implementation and unit testing, integration and system testing and operation. This Announcement Bot uses the Long Polling method. Where, this method the server will periodically check to the bot whether there is an incoming message. If there is an incoming message, the server will execute based on the request message sent by the user. Testing this system uses a User Acceptance Testing (UAT) testing system. The test results will be used as evidence that the software has been received and has met the requested requirements. This research produces an Announcement Bot at the Department of Informatics, University of Palangka Raya on the Telegram Application that can help find information in the Department for Students.

Perancangan Sistem Informasi Penjualan Air Galon Isi Ulang Di Kota Palangka Raya Berbasis Web Wahyudi, Teguh; Sahay, Abertun Sagit; Sylviana, Felicia
Journal of Information Technology and Computer Science Vol. 2 No. 2 (2022): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

This system was built with the aim of being a medium of sales information for refilling gallon water depots and providing information for people who want to buy refill gallon water. With this system, it is expected to be useful as a medium for expanding information about refill gallon water depots, helping consumers to purchase gallons of refill water easily, and the purchase of refill gallon water can be done without the need for the charging depot location. The methodology used in the manufacture of "Refill Gallons of Water Sales Information Systems Design in the City of Palangka Raya Based on Web" is Waterfall According to Ian Sommerville, the Requirement Analysis and Definition, System and Software Design, Implementation and Unit Testing, Integration and System Testing, and Operation and maintenance. This methodology was chosen because every step of structured development was visualized, and clearly documented. At the analysis stage, data collection and needs analysis were made. At the design stage, Data Flow Diagram (DFD) and Entity Relationship Diagram (ERD) are made. At the implementation stage, the system is made using PHP and Javascript as a programming language, and MySQL as a database server. The test method used is the Blackbox Testing method. Test results using this Blackbox method from the analysis process until the implementation is obtained that the system can carry out data processing such as adding/saving, deleting, changing, and searching. Users can enter data and data can be processed and produce location, product, transaction, and report information. "Refill Gallon Water Sales Information Systems Design in the City of Palangka Raya Based on Web" is able to provide information needed by customers and visitors. In the system there are several features that can be used by the admin, operators, customers and visitors though. So that the functionality of this website is appropriate in accordance with the initial purpose of making the system, "Refill Gallon Water Sales Information Systems Design in the City of Palangka Raya Based on Web " can still be developed again.

Sistem Informasi Administrasi pada Lembaga Pendidikan Teknologi Informasi dan Bisnis (ELTIBIZ) Diana, Diana; Sahay, Abertun Sagit; Widiatry, Widiatry
Journal of Information Technology and Computer Science Vol. 3 No. 1 (2023): JOINTECOMS : Journal of Information Technology and Computer Science
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jointecoms.v3i1.10795

This research produce an information system about course administrative, internship administrative and score administrative. Course administrative there is course with instructors. Internship administrative there is internship locations and student input logbooks. Score administrative there is custom weight score and print grade transcript. The methodology used in the application Administrative Information System In Information And Business Information Technology Educational Institutions (ELTIBIZ) is the waterfall method which has stages, namely, the requirements Definition stage is described using a Flowchart, Requirements Analysis and Definition is described through UML (Unified Modeling Language) with Use Case Diagrams, Class Diagrams and Activity Diagrams and databases. Implementation and Unit Testing using the Laravel framework and MySQL as well as testing using the Black Box method. Administrator has control users role. Lecture can custom weight score for final result and input score to student based on class at course. Student can choose an internship location and upload a log book after that print grade transcript.

Co-Authors Adji, Fengky F Agus Sehatman Saragih Anak Agung Istri Sri Wiadnyani Apriliansi, Elsa Ariesta Lestari Ariska, Ria Ariska, Ria Christina, Sherly Devina, Devina Diana Diana Efrans Christian Felicia Sylviana Fitriah, Andi Nurul Franando, Rino Franando, Rino Gunawan, Vincentius Abdi Hawila, Hawila Inso, Lius Kaharap Bion Irawan, Muhammad Ihza Izzuddin, Asep Engku Izzuddin, Asep Engku Jadiaman Parhusip, Jadiaman Kelvin Wijaya, Kelvin Melati, Erma Oktaviyani, Enny Dwi Pradana, Arie Pratama, Aditya Nur Okta Pratama, Pebri Andhi Herry Ridhansyah, Nano Ridhansyah, Nano Rony Teguh Safi?i, Muhammad Sabrin Safiâ€™i, Muhammad Sabrin Safitri, Mulia Sahay, Nugraha Sagit Sahay, Nugraha Sagit Shofy, M. Ade Sinana, Admi Rut Teguh Wahyudi Trijoko, Beni Trijoko, Beni Viktor Handrianus Pranatawijaya Widiatry, Widiatry Wilentine, Valencia

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