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INDONESIA
JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Published by STMIK Global Informatika MDP
ISSN : 24074322     EISSN : 25032933     DOI : -
Core Subject : Science,
Computer Science & IT
JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun (September dan Maret), makalah yang diterbitkan JATISI minimal terdiri dari 60% dari luar Sumatera Selatan, dan 40% dari Sumatera Selatan. Makalah yang diterbitkan melalui tahap review oleh reviewer yang berpengalaman dan sudah memiliki makalah yang diterbitkan di jurnal internasional yang terindeks SCOPUS.
Arjuna Subject : -
Articles 1,216 Documents
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Mobile-Based Dental Clinic Electronic Medical Record System Tri Mukti Lestari; Abd Halim; Muhammad Atnang
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 2 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i2.6175

Abstract

Medical records are essential documents in managing a person's health care and are used by various medical professionals to plan, provide, and evaluate patient care. According to the medical professional code of ethics, regulations keep medical records confidential. Dentists are required to make medical records for patients after carrying out an examination. So what about patients who want to know what treatments have been carried out during the treatment and care period? The patient will be given a medical record summary to find out this. This research aims to build a resume of medical records for patients without violating the ethical code of the medical profession. Use the Rapid Application Development (RAD) method to make this system. The results show that the system successfully displays a summary of patient's medical records, per the Dental Medical Record Guidelines [1]. It is hoped that with a mobile-based electronic medical record system, patients will be more diligent and more concerned about having their dental health checked at least once every six months. Keywords—Electronic medical records, Dentistry, Mobile based
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENGELOLAAN PENELITIAN DAN PUBLIKASI ONLINE DI LEMBAGA PENELITIAN UNIVERSITAS LANGLANGBUANA Awan Setiawan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.6234

Abstract

Penelitian ini bertujuan untuk menganalisis dan merancang sistem informasi yang efektif untuk penelitian dan publikasi online di Lembaga Penelitian Universitasi Langlangbuana. Dalam era digital, lembaga penelitian memerlukan sistem terintegrasi dan efisien. PIECES Framework digunakan untuk analisis, sementara pengembangan sistem memakai pendekatan Evolutionary Prototyping. Pendekatan ini memungkinkan iterasi dan umpan balik pengguna. Penelitian melibatkan analisis kebutuhan dan perancangan sistem, termasuk arsitektur, struktur database, antarmuka pengguna, dan integrasi. Hasilnya diharapkan menjadi panduan untuk sistem informasi yang meningkatkan efisiensi dan visibilitas penelitian. Dengan sistem informasi yang baik, Lembaga Penelitian Universitas Langlangbuana diharapkan dapat memperkuat posisinya dalam penelitian, meningkatkan klaborasi, dan memberikan manfaat yang lebih besar kepada masyarakat dan pengguna lainnya.
IMPLEMENTASI EVOLUTIONARY PROTOTYPING PADA SISTEM INFORMASI PENGELOLAAN PENELITIAN DAN PUBLIKASI ONLINE DI LEMBAGA PENELITIAN UNIVERSITAS LANGLANGBUANA Awan Setiawan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 3 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i3.6239

Abstract

This research aims to implement an online research and publication management information system at the Langlangbuana University Research Institute. In the digital era, research institutions need an economically efficient system to facilitate research and publication management and increase the accessibility of research information. The research uses Evolutionary Prototyping for system development. This allows responsiveness to changing user needs. The implementation stage includes identifying the need for research management and online publications. It is hoped that the results of this research will serve as a guide for a better system, increase efficiency, facilitate publication, and increase the visibility of research results. With a good information system, the Langlangbuana University Research Institute can strengthen its position, increase collaboration, and provide greater benefits for the public and other users who are interested in the research results
Sistem Informasi Pengelolaan Tugas Akhir Menggunakan Metode User-Centered Design Finsa Nurpandi; Anita Ilmaniati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.3322

Abstract

This research aims to develop a thesis management information system at the Faculty of Engineering, Suryakancana University. Based on the results of the analysis, the system built to solve problems regarding data management that is not centralized, there are still processes that are not optimal, and document search is still difficult. Processes that are managed in this system include data management for student thesis, scheduling, registration, and assessment. The research was conducted based on the Design Science Research Methodology information system guide which has stages of problem identification, setting goals, design and development, demonstration, evaluation, and communication. The system was developed using the Laravel framework that applies the Model View Controller (MVC) concept and uses the PHP programming language, and uses the MySQL database. System development uses a User-Centered Design approach, where development only focuses on the user so that it does not change the work flow, and work procedures that apply at the Faculty of Engineering, Suryakancana University.
Identifikasi Kadar Ikan Pada Pempek Menggunakan K-NN Dengan Fitur GLCM Fathimah Azzahra; Ery Hartati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.4239

Abstract

Pempek merupakan makanan khas kota palembang yang terbuat dari komponen utama ikan dan tepung tapioka. Hal utama penentu kualitas pempek adalah takaran ikan dan tepung tapioka. Biasanya kualitas ini ditentukan dengan cara mencicip. Penelitian ini menggunakan tekstur pempek untuk mengidentifikasi kadar ikan dalam pempek. Metode identifikasi yang digunakan adalah K-NN dengan fitur GLCM. Dataset berupa citra yang dipotret dengan jarak 15cm dan resolusi kamera 2 MP. Dataset terdiri dari 360 data latih dan 240 data uji, masing-masing takaran memiliki 90 data latih dan 60 data uji. Penelitian ini menguji kombinasi dari variasi nilai k dan fungsi distance pada K-NN serta variasi arah sudut dan jarak keteranggan pada GLCM. Tingkat identifikasi terbaik adalah accuracy sebesar 33,75%, precision sebesar 34,82%, dan recall sebesar 15,32% dengan arah sudut 0°, jarak ketetanggan 1, niali k 9 dan euclidean distance.
Perbandingan Tingkat Akurasi Daging Bakso Berdasarkan Jarak Potret Menggunakan Fitur GLCM Dengan Metode JST Ivan Ricardo Jiwanata; Dedy Hermanto
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.5515

Abstract

The texture of meatballs is one of the parameters used by the community to determine the quality of meatball products. The problem is to determine the accuracy comparison of meatball meat using four different portrait distances using the JST backpropagation method with GLCM feature extraction. Training data and test data are extracted using GLCM features, and then JST training is conducted using 17 training functions. The portrait distances used are 10 cm, 13 cm, 15 cm, and 18 cm, with 5 neurons, 10 neurons, and 20 neurons, resulting in three different architectures. For each training function, there are five experiments for each architecture. Based on the research results, it can be concluded that the traincgb training function, which uses 5 neurons, achieves fairly good recognition results at a portrait distance of 15 cm with a total accuracy of 95.5%, precision of 88%, and recall of 95%.
Perbandingan Tingkat akurasi Kadar Air Pada Cat dinding Berdasarkan Jarak Potret Menggunakan Fitur GLCM Metode JST Kelvin Stepanus; Novan Wijaya
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.5516

Abstract

This study raises the topic of determining the water content of wall paint based on portrait distance on Nippon Paint paint brands with a water ratio of 1 : 0.75, 1 : 0.5, and 1 : 0. The problem is how to find out the comparison of accuracy levels in the recognition of levels water on a paint wall by applying the ANN recognition method using the GLCM feature and taking 4 different shooting distances. The training data and test data are extracted using the GLCM feature then ANN training is carried out using 17 training functions. The portrait distances used were 25, 50, 75, and 100 cm with the neurons used being 5, 10, and 20. Each architecture was run five times, with three number of neurons multiplied by five attempts to run the program so that a total of 15 trials, and three water comparisons done afterwards. Based on the test results it can be concluded that the air ratio of 1 : 0.75 using neuron 20 in the hidden layer obtained the best results in identifying the air ratio on the paint wall. In calculating the fusion matrix produces an average overall output that is equal to 80% accuracy, 65% precision, and 60% recall.
Transfer Gaya Gambar Batik Menggunakan Neural Style Transfer dan Convolutional Autoencoder Celvyn Yulian; Handri Santoso; Ito Wasito; Haryono .
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.5573

Abstract

The challenge of neural networks to process visual art judgments like humans inspired Gatys et al and in 2015 they succeeded in creating neural style transfer (NST) that can transfer European artistic image styles to other images. At present, research related to NST has been widely conducted, but its use with a convolutional autoencoder (CAE) as one of the NN architectures capable of compressing NST output is still rare. This research intends to design an NST system with CAE as an additional architecture in charge of the compression process while maintaining the force transferred. As a substitute for European-style artistic images, batik is used as an original Indonesian artistic work. NST and compression images will be measured using structural similarity index measure (SSIM) evaluation metrics. The evaluation results showed that the system designed managed to get an average SSIM score of 0.67 out of 1 and an average value of storage size reduction ratio of 37.43% from the original size. Then, the survey showed that the quality of the compressed image was quite good with a score of 64.09% and the compressed image was quite usable in the field of work of each respondent with a score of 49.09%.
Word-Level Story Generator Bahasa Indonesia Menggunakan Markov Chain dan Bidirectional GRU Cecilia Angieta Winata; Handri Santoso; Ito Wasito; Haryono .
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.5574

Abstract

Story generator plays an important role to help story writers generate story ideas, even initial concepts. Usage of Keras Tokenizer as well as word embedding model requires relatively slower model training speed in order to execute hundreds of training iterations. In this research, we propose design method to create a word-level Indonesian language story generator by implementing Markov Chain model and Bidirectional GRU, which is able to generate quality text as good as the outputs of word embedding models, while having faster model training speed. The performance of Markov Chain-BiGRU model was compared with the performance of word-level BiGRU model and character-level GRU model. The first stage of model evaluation was done by comparing each model’s loss value and model training speed; the second stage was done by giving survey to 33 assessors; while the third stage was done by comparing model’s performance with model from related work. The proposed Indonesian story generator succeeded on increasing the model training speed by 66.38% from related work’s model, as well as producing better-quality text compared to outputs from conventional neural-based and word embedding models.
Sistem Pengenalan Emosi Menggunakan Autoencoder + CNN + Attention Mikhail Aresa Latumahina; Handri Santoso; Ito Wasito; Haryono .
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.5576

Abstract

In the Digital Transformation era, many businesses use technology in the form of Deep Learning which is used to change the way business is run, one of the methods used is Emotion Recognition. Emotion Recognition itself is part of Computer Vision, and computer vision tasks are usually done using the CNN algorithm. Accuracy is important in Emotion Recognition where many studies use various methods, both Transfer and Hybrid learning to try to improve this aspect, so this research intends to design a Autoencoder + CNN + Attention that can be used for Emotion recognition, which is made by combining Encoder, CNN, and Attention Mechanisms. this model is circumspect by using FER2013 and compared to the CNN + Attention model which is shutting down in the same way. Even though the Autoencoder + CNN + Attention managed to get 64% Accuracy in Evaluate Test_Model compared to CNN + Attention which got 55%, it should be noted that adjustments still have to be treated because of the 43% sensitivity of testing on external data such as tuning, layer adjustments, and FER2013 data augmentation.

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