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CLUSTERING ZONASI DAERAH RAWAN BENCANA ALAM DI PROVINSI SUMATERA BARAT MENGGUNAKAN ALGORITMA K-MEANS DAN LIBRARY GEOPANDAS Wicaksono, David Aryo; Susetyo, Yeremia Alfa
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.225

Indonesia is one of the countries that are often affected by natural disasters because it is located on the Asia Pacific Ring of Fire. West Sumatra province is one of the most frequently hit by natural disasters including earthquakes. According to the Central Bureau of Statistics of West Sumatra from 2018-2021, there were 1,148 earthquake cases and 1,503 flood cases. The objective of this study is to reveal areas prone to natural disasters in West Sumatra province using K-Means algorithm and GeoPandas visualization. After doing data processing for the optimal K value, 3 clusters were obtained, namely, cluster 1 is not prone to natural disasters, cluster 2 is prone to natural disasters and cluster 3 is very prone to natural disasters. From this research, it is found that cluster 1 has 7 members of the region, cluster 2 has 11 members of the region, and cluster 3 has 1 member of the region.

PEMBANGUNAN COMPILER DOMAIN SPECIFIC LANGUAGE SEBAGAI GENERATOR FORM HTML MENGGUNAKAN PYTHON SLY Adiyoso, Wibisono; Susetyo, Yeremia Alfa
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.231

The rapid development of information technology has a significant impact on the way companies operate. Companies can utilize technology to simplify and accelerate their business processes, including recording and managing transactional data. PT XYZ is one of the largest retail companies, with a vast amount of data and requiring various types of different HTML forms. Therefore, standardization in program code writing is necessary to minimize errors and facilitate application maintenance. This research aims to build a Compiler Domain Specific Language (DSL) as a web-based HTML form generator for PT XYZ. The study uses the Python SLY library, passing the Lexer and Parser processes in DSL development. The result of this research is a web-based HTML form generator that facilitates developers in creating standardized and automatic HTML forms. The use of DSL can speed up the program code writing process, minimize errors, and create structured and easily understood code by developers.

Implementasi Python-PPTX dan Dom-to-Image dalam Pembangunan Sistem Otomatisasi Laporan Berbasis Web di PT. XYZ Purbaningtyas, Mikha Kurnia Anggi; Susetyo, Yeremia Alfa
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i2.684

PT. XYZ is a leading retail company in Indonesia operating in a highly dynamic industry. Despite using PowerPoint (PPT) presentation reports as a key communication tool with its business partners, PT. XYZ's report creation process is still done manually. This leads to time wastage, the risk of errors, and disruptions to operational efficiency. The purpose of this research is to implement Python-pptx for the automation of report compilation and dom-to-image for the integration of visual data. The goal is to overcome the main challenges faced by PT. XYZ. The research methodology includes problem identification, literature review, system requirements analysis, system design, application development, and system testing. The results of this research include the successful implementation of Python-pptx and dom-to-image in building a web-based automated reporting system at PT. XYZ. System testing demonstrates the success of this technology, ensuring user satisfaction, and preparing the system for more efficient use.

Perancangan UI/UX Design Aplikasi Pemesanan Sayur Berbasis Mobile Menggunakan Design Thinking Cantika, Berliana Nala; Susetyo, Yeremia Alfa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.671

One of the most common problems is how to save time without going to the market. In addition, it is difficult to search for vegetables by type, quality, price and other factors. Therefore, this application is designed to provide solutions that bring convenience and meet the needs of users. The purpose of this study is to apply the design thinking method in making UI/UX design for mobile-based vegetable ordering applications. Design Thinking is a method that focuses on innovation and consumers, in addition to paying attention to user needs and combining them with appropriate technological features so that they become good products due to their feasibility. Empathize, define, ideate, prototype, and testing are the 5 stages of the design thinking method. Next, use the System Usability Scale as a testing stage. Based on the test results on the aspect of satisfaction obtained a score of 91 with the assessment of adjective ratings is “Excellent“, while the grade scale gives the results of”A".

Klasifikasi Penyakit Migrain dengan Metode Naïve Bayes pada Dataset Kaggle Yuichi, Michael; Susetyo, Yeremia Alfa
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1150

Migraine is one of the most common neurological diseases in society and has a significant disability impact. According to the Global Burden of Disease Study, migraine is one of the most common neurological disorders in the world, with a greater disability burden than other neurological disorders. In data science, data classification plays an important role in determining the category or class of an object based on a number of available classes. One frequently used classification method is Naïve Bayes, which utilizes mathematical probabilities with the assumption that the decision made is accurate based on the given data. This research develops a classification model using the Naïve Bayes algorithm to predict and classify migraine patient data. This model produces classification values with an accuracy of 88.51% when training from 280 train data given and 89.02% when testing from 120 test data given. The classification results can support the medical world in diagnosing migraine types more accurately, optimizing treatment, saving health costs, and becoming the basis for further research and development in the field of neurology.

Perancangan UI/UX Design Aplikasi Pemesanan Sayur Berbasis Mobile Menggunakan Design Thinking Cantika, Berliana Nala; Susetyo, Yeremia Alfa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.671

One of the most common problems is how to save time without going to the market. In addition, it is difficult to search for vegetables by type, quality, price and other factors. Therefore, this application is designed to provide solutions that bring convenience and meet the needs of users. The purpose of this study is to apply the design thinking method in making UI/UX design for mobile-based vegetable ordering applications. Design Thinking is a method that focuses on innovation and consumers, in addition to paying attention to user needs and combining them with appropriate technological features so that they become good products due to their feasibility. Empathize, define, ideate, prototype, and testing are the 5 stages of the design thinking method. Next, use the System Usability Scale as a testing stage. Based on the test results on the aspect of satisfaction obtained a score of 91 with the assessment of adjective ratings is “Excellent“, while the grade scale gives the results of”A".

Redesign UI/UX Sistem Informasi Akademik Satya Wacana Menggunakan Metode Design Thinking Wijaya, Ricky Arindra; Susetyo, Yeremia Alfa
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.45098

Academic website is a technology that can help students obtain information about lectures. The Satya Wacana Academic Information System is an academic website used by Satya Wacana Christian University. Becoming an educational institution with high competitiveness in the quality of science and technology is the vision and mission upheld by UKSW. SIASAT is expected to help UKSW students to compete. Some of the issues complained about by the students is that SIASAT inability to keep up with technological advancements, lack of responsiveness, need for updates, and performance improvements. Therefore, the researchers proposed a solution to redesign the SIASAT website using the design thinking method. The design thinking method was chosen because it focuses on identifying user problems and providing solutions. Design thinking has five stages including Empathize, Define, Ideate, Prototype, and Testing. In the testing stage, UKSW students were given a questionnaire using the System Usability Scale method to assess the feasibility of the redesign, resulting in a "Good" category with a Grade Scale of "B".

IMPLEMENTATION OF TEXT INDEXING SYSTEM IN WEB-BASED DOCUMENT SEARCH APPLICATION USING MONGODB Frankie, Frankie; Susetyo, Yeremia Alfa
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.959

The rapid growth of information technology has led to an increase in the amount of data stored in databases every day. Relational databases (SQL) that have been in use for a long time are now being developed with the emergence of NoSQL databases such as MongoDB. MongoDB stores data in BSON format and has a Text Indexes feature that is useful for speeding up text search on string content. This feature is particularly useful in searching for data in the form of texts or strings in large quantities. MongoDB's Text Indexes have a flexible schema that does not require a strict schema structure to index text data, unlike SQL databases that require columns with the appropriate data type to perform indexing. MongoDB's Text Indexes support more languages than SQL because they use an open-source text search engine called Apache Lucene. In this study, the researcher will implement Text Indexing on document data (PDF) that has been converted into text, then inserted into MongoDB before indexing. Afterward, the researcher will compare the performance of search queries between indexed and non-indexed data in MongoDB in terms of speed. The comparison results will be presented in tables and graphs to facilitate understanding. Based on the research conducted, it can be concluded that the use of the text indexing feature in MongoDB can speed up keyword or string search time. In the experiment conducted using 5000 data records, the results showed that the use of text indexing for searching 1 keyword resulted in a search speed improvement of 11705,88%, for searching 2 keywords it was 60833,33%, and for searching 3 keywords it was 44320%.

Predict Airline Customer Satisfaction using a Machine Learning Model Suwito, Yoel Dinata; Susetyo, Yeremia Alfa
SISTEMASI Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5868

Customer satisfaction is a strategic factor for the sustainability of airline businesses amid increasingly intense competition in the aviation industry. This study aims to predict airline customer satisfaction using an Artificial Neural Network (ANN) approach by leveraging a publicly available Kaggle dataset containing 22 airline service features. Two ANN architectures were developed, differing primarily in the number of hidden layers, the number of neurons, and the application of Batch Normalization and LeakyReLU in the second model. The experimental results show that the first ANN model achieves an accuracy of 92.31%, while the second model attains significantly higher performance, with an accuracy of 95.75% on the test dataset. The second model also demonstrates a strong balance between precision and recall (0.94–0.97), with an average F1-score of 0.95–0.96 and a minimal number of misclassifications. These results confirm that employing a more complex ANN architecture can deliver highly accurate predictions of customer satisfaction. The implementation of ANN-based predictive models not only enhances passenger experience quality but also strengthens customer loyalty and helps airlines maintain long-term competitiveness.

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