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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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SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BLT MENGGUNAKAN METODE MULTY ATTRIBUTE UTILITY THEORY siti aminah; asrul abdullah; istikoma istikoma
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.v10i4.6487

Abstract

In this research, a decision support system for accepting direct cash assistance (BLT) has been built using the Multi Attribute Utility Theory (MAUT) method. The system built is website-based. The purpose of this study is to be able to provide results for beneficiaries based on the criteria determined by the village using the MAUT method. The criteria used are extreme poverty, chronic or chronic illness, elderly or not working, disabled or within the family. Tests in this study used 39 alternative data. This data is compared with the results of manual calculations in excel. The results obtained from this study indicate that the value of the alternative Mr. Yohanes Ibu has the highest weight, namely 1. Based on these figures, it may be inferred that computations performed manually and utilizing a system provide identical results. In order to ensure that the system constructed adheres to the MAUT calculation approach, it is necessary to convert various interests into numerical values on a scale of 0-1. Here, 0 represents the lowest value and 1 represents the highest value.
Penerapan Algoritma Naive Bayes Untuk Prediksi Penjualan Produk Terlaris Pada CV Akusara Jaya Abadi I Made Adrian Astalina Pramana; I Wayan Sudiarsa; Putu Gede Surya Cipta Nugraha
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.v10i4.6498

Abstract

CV Akusara Jaya Abadi is a company engaged in procuring goods and services. This company is experiencing difficulties in product stock management. For this reason, we need a method that can predict sales of best-selling products using the Naive Bayes algorithm, where this algorithm calculates the likelihood probability value of each general attribute to get a pattern on the label/class based on the highest value of the posterior probability. In addition, the application Naive Bayes algorithm applied using the CRISP-DM framework. The dataset obtained through the SIPLah platform has 3 years, that is 2021-2023 with a total data of 750 records. Implementation data mining with RapidMiner and Bayes' theorem formulation in product sales predictions, there are 5 products that produce the highest probability value namely the best-selling products are the HVS F4 SIDU 70 Gram Paper, Tissue Hand Towel, Tissue Nice 180 Sheets, Kabel NYM Eterna size 2 x 1,5 mm, and Refil Spidol. The process of model analysis and performance of the Naive Bayes algorithm in this research uses a confusion matrix with an accuracy level of 89.33%, precision of 73.21%, and recall of 97.61%. Thus, could be concluded that the implementation of the Naive Bayes algorithm produces sales predictions for best-selling products with good performance, so it can help CV Akusara Jaya Abadi determine its product stock management.
Improved Accuracy for Forensic Investigation Using SIFT-Based Copy-Move Forgery Detection Yasir Muin; Amal Khairan
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.v10i4.6509

Abstract

Digital photo manipulation is a significant issue in the current technological age, specifically due to the prevalence of social media and the availability of editing software. This presents a significant danger to the legal system as it has the potential to influence judges' decisions. Hence, the identification of image forgery is crucial in the realm of digital forensics to verify the authenticity of images and aid in investigative processes. One potential method for forensic analysis is the utilization of copy-move detection (CMFD). This method is used to identify instances where objects in an image have been copied or rearranged. The SIFT algorithm is one of several algorithms that can be utilized in CMFD. This algorithm is capable of identifying distinct characteristics within an image and comparing these characteristics to identify areas of duplication. Copying and moving forgeries can be effectively detected through the use of the SIFT algorithm. This algorithm offers the benefit of producing precise outcomes by comparing key point values. The test results can be shown as forensic digital proof of copy-move manipulation actions. This is further supported by validating the hashing values to confirm the results of the SIFT algorithm
Klasifikasi Lesi Benign Dan Malignant Pada Rongga Mulut Menggunakan Arsitektur ResNet50 Tinaliah, Tinaliah; Elizabeth, Triana
JATISI Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.6947

Abstract

It is very important to protect the human oral cavity to avoid various oral problems, one of which is tumors and oral cancer. Cell growth in the oral cavity is divided into benign oral cavity tumors (benign), precancerous lesions, and oral cavity cancer (malignant). Image classification of benign and malignant lesions can help to determine whether cells in the oral cavity are benign or malignant. CNN is a type of neural network that can be used to extract features from an image. In this research, image classification of benign and malignant lesions will be carried out by applying the ResNet50 architecture to the CNN method. The dataset used is the Oral Image Dataset, which has two classes, namely the benign class and the malignant class. Testing is carried out using testing data from each class using the Adam and SGD optimizers. Based on the test results, it can be concluded that ResNet50 can classify images of benign and malignant lesions well using the Adam optimizer with an accuracy value of 94%.
Investigasi Kejahatan Siber pada Surface Web dan Deep Web Menggunakan Metode NIST Koprawi, Muhammad; Nugranto, Handika Fajar
JATISI Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.3245

Abstract

Dewasa ini, ilmu Digital forensik sudah mulai diterapkan di dunia forensik dalam kasus penanganan kejahatan digital yang bertujuan memulihkan dan menginvestigasi konten pada perangkat digital yang dijadikan barang bukti dan biasanya penggunaan ilmu ini diterapkan pada kasus-kasus yang berkaitan dengan kejahatan siber. Digital forensik ini diperlukan ketika suatu barang bukti digital dari penyelidikan kasus kejahatan siber biasanya dikunci, dihapus atau disembunyikan, sehingga melalui investigasi forensik diharapkan dapat mengembalikan bukti-bukti tersebut. Oleh karena itu penelitian ini dilakukan untuk mengetahui tingkat efektivitas metode NIST dalam investigasi Digital Forensik ketika kejahatan siber tersebut dilakukan pada halaman Surface Web maupun Deep web. Dari hasil investigasi penelitian didapatkan bukti-bukti tingkat kejahatan siber yang terjadi diantaranya yang sering dan umum terjadi di layanan Surface web adalah kebocoran data, pornografi dan hal-hal seputar peretasan dengan persentase kejahatan hacking sebesar 49%, kebocoran data sebesar 36% dan pornografi 15%. Sedangkan pada Deep Web terdapat berbagai macam kejahatan dan transaksi ilegal dibandingkan dengan Surface web dengan persentase kegiatan hacking 31%, kegiatan transaksi narkoba 29%, kebocoran data 26%, pornografi 7%, dan transaksi jual beli senjata juga 7%.
Penerapan Metode Job Order Costing dalam Menentukan Harga Pokok Produksi pada Sistem Informasi Pengendalian Biaya Permana, Denny Riandhita Arief
JATISI Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.3357

Abstract

Abstract PT Ganding Toolsindo is one of the manufacturing companies that focused on the automotive sector with core business are manufacture of automotive component and engineering. In marketing their products, Marketing Division made quotation letter addressed to the customer. The problems that happened is quotation letter still done manually and there is hoarding of the old data so it resulting duplication. In the quoted letter stated the production cost to determine cost of goods manufactured and selling price, one of them is material costs. Material costs in PT Ganding Toolsindo are not controlled every time there is a price increase, even though it will have an effect on the high of production cost. The determination of the production cost at PT Ganding Toolsindo is still through manual calculations and there is no detailed cost classification. In order to overcome these problems, a cost control information system is needed in determining the cost of goods manufactured using the Job Order Costing method and using a database to make data and cost management easier. With this cost control information system, it can help the Marketing Division to identify the production costs of each order and prevent the increase in production costs incurred. Keywords—Cost Control, Cost of Goods Manufactured, Selling Price, Job Order Costing
Perancangan Sistem Informasi Manajemen Aset Berbasis Web Menggunakan Metode Scrumban (Studi Kasus: Universitas Subang) Ardan, Tazkia Salsabila
JATISI Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.3431

Abstract

Subang University is a university located in the district of Subang, West Java. With so many different faculties and locations, the asset management process at the University of Subang can no longer be carried out conventionally, especially with the increasing time, the time being added as well as the existing ones. Conventional asset management causes many problems to arise, asset optimization cannot be carried out optimally, and it is difficult to obtain evaluation materials for existing officers because there is no integrated data. This study designed an asset management information system using web technology so that it is expected to assist in the asset management process in minimizing existing problems in an integrated manner. In addition, this research will apply the Scrumban method in designing an asset management information system. To describe the design, the writer will use the unified modeling language, database design, and interface design. The result of this research is an asset management information system model which includes several aspects including system user aspects, software aspects, hardware aspects, and internet network aspects which will be implemented in the future.
Forecasting Performance Base on Exponential Smoothing with SES and ETS Model for Gold Price Forecasting As'ad, Mohamad
JATISI Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.3804

Abstract

Abstract Gold has two functions, jewelry, and investment. Investments made by the community are expected to be lucky, therefore it is necessary to predict when gold is bought and sold. This research is a follow-up study on using a forecasting model that is easy, simple, and has high accuracy. This study compares the single exponential smoothing (SES) model in previous studies and the exponential smoothing-state space or better known as ETS (error, trend, and seasonal). This study uses the same data as previous studies. The comparison criteria used for the accuracy of the SES and ETS models are AIC and BIC, while the comparison of forecasting accuracy uses MAPE and RMSE. The results of this study conclude that the ETS model (M, N, N) is more accurate than the SES model and can be used for short-term forecasting and then the model should be updated so that the model gets the latest information about the data so that in predicting the daily gold price for the coming period. can be accurate. The ETS model used has an exponential coefficient (α) of 0.9999 with AIC and BIC values ​​of 2902,143 and 2912,882 with MAPE and RMSE forecasting accuracy values ​​of 0.6513446 and 15.01525, respectively. Forecasts for the next three periods with the ETS(M, N, N) model fluctuate around the price of 1600 ($ 1600 USA per troy ounce).
Penerapan Notifikasi Whatsapp Pada SIMANDI (Sistem Informasi Manajemen Persediaan) Warehouse PT. Buya Barokah Divisi Percetakan Berbasis Web Sofian, Ahmad; Latifah, Noor; Setiawan, R. Rhoedy
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.4512

Abstract

Background: The use of computerized systems in companies is currently an important prerequisite for all companies, especially trading companies such as PT. Buya Barokah Printing Division. In managing a company to facilitate/support inventory management, it must be supported by a good application system. There is no inventory management system at PT. Buya Barokah, starting from raw materials, ordered finished goods, distribution finished goods, factory supplies and machine spare parts, resulted in an error in valuation that could occur because the data collection was not systematic and was done manually. Aim: This study aims to facilitate the inventory process, so a system is created that allows warehouse managers to search for information, collect information about warehouses, raw materials, finished goods orders, finished goods distribution, factory supplies and machine spare parts. This information system was built using a web-based programming language, namely PHP (Hypertext Preprocessor), with the help of a database, namely MySQL server. Method: The waterfall method is the method used, while the design uses UML (Unified Modeling Language) and ERD (Entity Relationship Diagram). Results: This research will produce a web-based inventory management system equipped with WhatsApp notifications to provide clear and detailed information about existing supplies. Conclusion: The use of Inventory Management Information Systems is very important for companies in increasing efficiency, reducing the possibility of out of stock, increasing productivity, and reducing costs.
Analisis Opini Masyarakat Terhadap Pemberlakuan ERP Di Jalan Ibu Kota Jakarta Kaafi, Ahmad Al; Suparni, Suparni; Rachmi, Hilda
JATISI Vol 11 No 1 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i1.4790

Abstract

The high density of population in Jakarta increases mobility and community activity, causing various problems such as housing, garbage, traffic congestion and the lack of public facilities that make urban areas more and more dense. Various efforts have been made by the DKI Jakarta City Government to reduce congestion and air pollution, one of which will implement the Electronic Road Pricing system. (ERP). This leads to the pros and cons of the general public, especially on social media. Therefore, appropriate techniques are required to evaluate such opinions, so that the opinions are automatically classified into positive and negative categories. To do this, an analysis of the opinion about the ERP treatment in the Jakarta Capital Street using the Support Vector Machine algorithm was carried out. (SVM). The aim of this study is to be able to help governments in the decision-making process in ERP-related policy-making by knowing the level of public opinion, which can be seen from the sample of Twitter comment data as well as know the degree of accuracy, recall, and precision and display the emotional classification of tweets obtained. This phase begins with crawling 1000 Indonesian-language tweet data, pre-processing, labelling, implementation, validation and evaluation. Based on this study, it was concluded that the SVM algorithm had good accuracy results with a value of 87.63%, recall 98.32% and precision of 81.10%.

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