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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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Implementasi Metode SVM dan Gardiant Boost Dalam Kalsifikasi Bahasa Daerah LIA LUMBAA
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.v9i2.1663

Abstract

Di Indonesia terdiri dari banyak suku, adat dan budaya yang berbeda-beda, khususnya bahasa. Bahasa selain sebagai alat komunikasi, penggunaan bahasa pastilah juga terdapat banyak perbedaan penggunaan maupun perbedaan bahasa dari setiap daerah. Oleh karena itu, diperlukan suatu metode untuk mengklasifikasikan bahasa secara otomatis sesuai dengan kategori bahasa yang telah di inputkan. Pada penelitian kali ini menggunakan metode Svm dan Gardient boost. dan untuk data bahasa sendiri peneliti menggunakan data yang di input manual dengan mengambil beberapa kalimat yang mewakili bahasa daerah yang dipilih. Pengujian sistem dilakukan dengan menggunkan data sebanyak 195.314. dan hasil dari penelitian kali ini metode svm dapat dikatakan sebagai metode terbaik. Kata kunci: Bahasa, Metode SVM, Metode Gardient Boost
KLASIFIKASI BAHASA DAERAH TORAJA, HALMAHERA, DAN KALIMANTAN MENGGUNAKAN METODE DECISION TREE DAN GRADIENT BOOTS Nini Katriani
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.v9i2.1670

Abstract

Language has an important role in human life. With the existence of language, humans can communicate and exchange ideas with one another. However, the diversity of ethnic groups in Indonesia causes Indonesia to have a variety of regional languages, therefore regional languages can make the delivery of information and communication difficult. This study aims to identify Toraja, Halmahera and Kalimantan languages in text form. Identification is done to find out the language of each region by using computerized technology. This identification uses a classification technique using two methods, namely decision trees and gradient boots. These two methods are used to identify the language according to the text that has been entered and then calculate the accuracy value. The data identified were 195315 sentences. This Research Also Resulted In A Comparison Of The Accuracy Of The Two Methods, So That It Can Be Known Which Methods Are Effective And Can Be Used In Identifying Language. The results of the study found that both methods are quite effective for use in identifying languages with an accuracy value of 0.65 or 65%. However, Judging From The Confusion Matrix, the Gradient Boost Method Is More Effective Than The Decision Tree With Accuracy Values Of 0.6525 And 0.6509 Or 65.25% And 65.05%
Analisis Penerapan Smart City Menggunakan IT Balanced Scorecard Adhe Ronny Julians; Melkior Nikolar Ngalumsine Sitokdana
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.v9i2.1720

Abstract

Mimika District Population and Civil Registration Office continues to issue new breakthroughs, especially smart city programs, in order to bring services closer to the community more precisely, efficiently, effectively, responsively, and continue to increase innovation and adoption of integrated technologies.. The purpose of this study is to analyze the conditions of smart city implementation that has been running in the research site using 4 perspectives contained in the IT Balanced Scorecard. This study uses a qualitative descriptive approach, supported by observations and interviews to strengthen the research. The results revealed that the perspective of the company's contribution, user orientation, and future orientation is good by providing excellent service comfort and speed, as well as how these services work so as to increase citizens' satisfaction with intelligent system service products. But from an operational refinement perspective, there are problems with internet networks that have not been optimized.
SPK DENGAN METODE SAW PEMBERIAN BANTUAN KELUARGA SEJAHTERA DI MASA PANDEMI COVID-19 Enggi Elina Sari
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.v9i2.1727

Abstract

Purwodadi City in Menduran Village is one of the areas targeted by the government during the corona virus pandemic or the Covid-19 pandemic. The aid program is assistance from the government to serve the underprivileged. During the COVID19 pandemic, family welfare programs are expected to be able to obtain health, education, productivity, and family welfare rights. As long as village officials often feel uncomfortable because there is no information system to determine potential beneficiaries. In this context, the author uses a decision support system approach using the Simple Additive Weighting (SAW) method. This system can support beneficiary decision making during the COVID-19 pandemic based on certain criteria. DSS are designed to assist decision-making by starting with selecting data, relevant issues, deciding on the decision-making process, and deciding on alternative options
ANALISIS SENTIMEN EKSPEDISI SICEPAT DARI ULASAN GOOGLE PLAY MENNGGUNAKAN ALGORITMA NAÏVE BAYES Ayu Kusuma Dewi
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.v9i2.1802

Abstract

Google Play is a very popular Android application administration, so that people in general can comment on anything. SiCepat is one of the cargo delivery administrations in Indonesia domiciled in Jakarta. As an online media client, SiCepat application clients are allowed to offer perspectives and write anything. The motivation behind this review is to test opinions about SiCepat's efforts in the Google Play app using Naive Bayes calculations. To play the characterizations, two classes of feelings are needed, namely the good class and the negative class. Information recovery was completed by the rejection method, the consequence of the information obtained was 457 positive and negative surveys. Then, at that time, the information was isolated into two, namely preparation information and test information. To guarantee essential testing with Nave Bayes settings to find possible results. Credulous Bayes is an information mining method of ordering information. The results showed that the accuracy was 80%, negative feelings 87% and good opinion 57%.
Sustainable Maintenance Melalui Prediksi Preventive Maintenance di Plant Cold Roll Mills (CRM) PT Krakatau Steel (Persero) Tbk dengan Algoritma Naïve Bayes Classifier dan Decision Tree Hidayatudin Shodiqin
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.v9i2.1818

Abstract

PT. Krakatau Steel (Persero),Tbk is a state-owned company engaged in the largest steel producer in Indonesia. The increasing number of steel product production at PT Krakatau Steel needs to be supported by excellent production facilities. The production process can be stopped if there is damage to the machine. Companies need to predict when the machine must be maintained so that sustainable maintenance can be carried out properly. The purpose of this research is to prevent unexpected damages, especially for equipment that has potential damage. Researchers predict preventive maintenance for maintenance locations, types of maintenance, and cost centers at the CRM (Cold Roll Mills) plant. Data Mining processing using the Naïve Bayes Algorithm to help find predictions for two types of maintenance (WP: Preventive & WE: Emergency). The data is reprocessed using the Decision Tree algorithm to determine which maintenance locations need maintenance activities. The results showed that Preventive Maintenance in Plant CRM (Cold Roll Mills) was running well in only 1.39% of Emergency Maintenance data from a total of 5034 records. Prediction results from the Naïve Bayes algorithm resulted in 8 emergency maintenance records with a class precision of 88.89%. Preventive maintenance data is 2416 records as predicted, and only one record predicted to emergency maintenance with a precision class of 99.96%. This research uses data testing 2626 records with an accuracy rate of 99.92%. This study uses data testing 2626 records with an accuracy rate of 99.92%. The result of the Decision tree is that it can show the location, maintenance activities, types of maintenance, and which cost centers should receive treatment
Perancangan Arsitektur Data Warehouse Pada Industri Perkebunan Kelapa Sawit Ahmad Fahmi Karami
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.v9i2.1834

Abstract

The palm oil industry, one of the leading industry in Indonesia must continue to grow even faced with the moratorium policy from Presidential Instruction. The strategy implemented is improving the company's operational performance, supported by a data warehouse that can provide information that help company making a decision. The strategy set includes productivity, efficiency, and optimization. The data warehouse architecture is designed to fulfill the defined strategies. The results showed that the hub-and-spoke type of architecture is suitable for implementing the company's strategy.
Analisis Sentimen Aplikasi E-Government pada Google Play Menggunakan Algoritma Naïve Bayes Artanti Inez Tanggraeni; Melkior N. N. Sitokdana
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.v9i2.1835

Abstract

E-gov is a digital innovation created by the government to create more effective and efficient business processes to meet the needs of the community. As a manifestation of this innovation in the land sector, the government makes an application called Sentuh Tanahku. Sentuh Tanahku is distributed on Google Play and generates a lot of reviews from users. The results of these reviews have an impact on the use and development of the application. However, with the large amount of review data, it will be difficult to process manually. Therefore, a method is needed to automatically see the user's tendency towards the application, whether it is positive or negative. The method that will be used is sentiment analysis. The stages are collecting review data on Google Play, manually labeling to get positive and negative review data, data preprocessing, TF-IDF weighting, classification using the Naïve Bayes algorithm, and evaluation. The labeling process shows that Sentuh Tanahku application gets positive response from users with a comparison of 407 positive reviews and 235 negative reviews. And from the results of sentiment analysis testing using the Naïve Bayes algorithm with TF-IDF weighting, it produces an accuracy of 89%, precision of 83%, and recall of 87%.
Perancangan Aplikasi Registrasi Kegiatan Berbasis Web Menggunakan Framework CodeIgniter di Fakultas Teknologi Informasi Jonathan Febrianto Gunawan; Ramos Somya
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.v9i2.1847

Abstract

Activities are part of students’ activities that are often carried out in the campus environment, both mandatory and non-mandatory activities. Mandatory activities have become the main activities every year, such as Student activities carried out in each faculty. The problem that occurs at this time is that there is no application to help carry out activities at the faculty so that errors often occur in data management in the Registration or registration section at the beginning of the activity because data collection is still handwritten. The purpose of making this application is to make it easier for the Information Technology faculty to carry out existing activities so that it can shorten time and reduce errors that occur at the beginning of registration.
Perbandingan Naïve Bayes dan Random Forest Dalam Klasifikasi Bahasa Daerah Gabriela Militia Momole
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.v9i2.1857

Abstract

Indonesia is a country that has many languages, in addition to Indonesian which is used as a language of communication, every region in Indonesia also has its own regional language. The number of languages owned makes it difficult for outsiders or foreigners to identify the origin of the language used, the purpose of this research is to identify languages using the nave Bayes method and random forest from the results of language identification according to the text of the Toraja, Kalimantan and Halmahera languages using computer technology. marchine learning to calculate the accuracy value of the two methods to compare the most effective methods to identify language. The results of the Naïve Bayes method in identifying language are very good because they get an accuracy value above 0.90 compared to Random Forest only getting an accuracy value below 0.70. By calculating the confusion matrix, the Naïve Bayes method is more effective with an accuracy value of 0.9922 compared to an accuracy random Forest value of 0.6544.

Page 45 of 122 | Total Record : 1216

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