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All Journal Jurnal Informatika Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Techno.Com: Jurnal Teknologi Informasi Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems Engineering and Business Intelligence Riau Journal of Computer Science Jurnal Teknologi dan Sistem Komputer JUTEI (Jurnal Terapan Teknologi Informasi) Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Jurnal Informatika Jurnal Informatika dan Sistem Informasi COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Prosiding Seminar Nasional Program Pengabdian Masyarakat Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Atma Inovasia GIAT: Teknologi untuk Masyarakat International Journal of Information Technology and Computer Science Applications (IJITCSA) SmartComp International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Yuan Lukito
Universitas Kristen Duta Wacana
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Medicine & Pharmacology Social Sciences Other

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Journal : JUTEI (Jurnal Terapan Teknologi Informasi)

 1 
ANALYSIS OF MTF, MTF-1 AND MTF-2 ALGORITHM ON BURROWS WHEELER COMPRESSION Sagara Mahardika Sunaryo; Lukas Chrisantyo; Yuan Lukito
Jurnal Terapan Teknologi Informasi Vol 3 No 1 (2019): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.84 KB) | DOI: 10.21460/jutei.2019.31.148

Abstract

Kebutuhan kompresi data teks di era komputasi awan saat ini masih cukup tinggi. Data teks perlu dikompresi sekecil mungkin agar mudah dikirimkan. Burrows Wheeler Compression Algorithm (BWCA) adalah salah satu algoritma kompresi teks jenis block sorting yang bersifat non-proprietary dan cukup populer digunakan. Dalam prosesnya, BWCA menggunakan metode pemrosesan awal yang disebut Global Structure Transformation (GST) untuk menyusun karakter agar lebih baik hasil kompresinya. Penelitian ini membandingkan tiga metode pemrosesan awal Move-to-Front, yaitu MTF, MTF-1 dan MTF-2. Bahan uji kompresi berupa data Alkitab Bahasa Inggris, Indonesia dan Jawa, dan beberapa data yang berasal dari Calgary Corpus. Oleh karena kompresi teks adalah kompresi yang bersifat lossless dan reversibel, maka selain melakukan pengujian untuk pengompresian data, juga dilakukan pengujian untuk pendekompresian data dengan Inverse Burrows Wheeler Transform. Pengujian kompresi dan dekompresi pada data Alkitab maupun Calgary Corpus berhasil dilakukan dan menunjukkan MTF-1 mampu memberikan rasio kompresi yang lebih baik dikarenakan jumlah total tiap bit pada proses Huffman lebih sedikit dibandingkan dua metode lainnya.
Building Data Warehouse and Dashboard of Church Congregation Data Ragil Yoga Irawan; Budi Susanto; Yuan Lukito
Jurnal Terapan Teknologi Informasi Vol 3 No 2 (2019): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2019.32.183

Abstract

A data warehouse is essential for an organization to process and analyze data coming from the organization. Hence, a data warehouse together with a dashboard to visualize the processed data are built to accommodate the need of the church administrator to analyze a large set of church congregation data. The data warehouse is built using the Kimball principle. This Kimball principle emphasizes the implementation of a dimensional model in the data warehouse, not a relational model used in a regular transactional database. An ETL process that contains extract, transform and load processes is used to retrieve all data from the regular transactional database and transform the data so the data can be loaded into the data warehouse. A dashboard is then built to visualize the data from the data warehouse so the users can view the processed data easily. Users can also export the processed data into an excel file that can be downloaded from the dashboard. A web service is built to get data from the data warehouse and return it to the dashboard.
Sistem Prediksi Harga Saham LQ45 Dengan Random Forest Classifier Kevin Valiant; Yuan Lukito; R. Gunawan Santosa
Jurnal Terapan Teknologi Informasi Vol 3 No 2 (2019): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Data yang digunakan adalah ringkasan saham harian perusahaan yang terdaftar pada indeks LQ45 versi Agustus 2018 – Januari 2019 mulai tanggal 1 Juli 2015 hingga 31 Desember 2018. Technical indicator yang digunakan dalam penelitian ini adalah On-Balance Volume, Chaikin Oscillator, Moving Average Convergence/Divergence, dan Bollinger Bands. Data tersebut kemudian dibentuk modelnya untuk setiap kode saham, rentang waktu, dan tipe fitur. Rentang waktu prediksi yang digunakan adalah 1 hari, 5 hari, dan 20 hari. Tipe fitur yang digunakan untuk membentuk model adalah plain yang menggunakan seluruh nilai ringkasan saham harian dan technical indicator-nya, grouped yang fiturnya merupakan kondisi technical indicator terhadap hari sebelumnya (naik, tetap, dan turun) dan nilainya terhadap garis nol (positif, nol, negatif), serta onehot yang fiturnya merupakan hasil one-hot encoding terhadap fitur grouped.  Model yang dibentuk kemudian digunakan untuk memprediksi perubahan harga saham dengan kemungkinan nilai naik, tetap, atau turun. Nilai akurasi dihitung menggunakan confusion matrix. Hasil pengujian terhadap data latih menunjukkan nilai yang sangat baik, dimana tipe fitur plain dengan rentang waktu 5 dan 20 hari mencapai 100%. Hasil pengujian terhadap data uji menunjukkan penurunan dibanding data latih, namun tipe fitur plain tetap menunjukkan performa paling baik dimana terdapat tiga kode saham dengan akurasi lebih besar dari 60% untuk rentang waktu satu hari, enam kode saham untuk rentang waktu lima hari, dan empat belas kode saham untuk rentang waktu dua puluh hari, sembilan di antaranya di atas 70%, dengan kode ANTM mencapai akurasi sebesar 80,6%.
Perancangan Modul Pendukung Keputusan Klinis Dalam Peresepan Naibaho, Yosep Parlindungan; Chrisantyo, Lukas; Lukito, Yuan
Jurnal Terapan Teknologi Informasi Vol 7 No 2 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.72.268

Abstract

The manual prescription process has a potential of error, which can lead to undesirable consequences, particularly for patients. As the advancement of technology, the use of decision support systems is necessary to minimize errors in prescription delivery. In this study, a decision support system module will be developed to assist prescription process by transferring knowledge possessed by experts as the knowledge base of the system. This module will use rule-based method as the decision-making method by applying validated rules based on the acquired knowledge base. To test the accuracy of the module’s output, test case design will be used as the method. The result of the research showed that all tested scenarios have the same results as the expected results, indicating that the use of rule-based expert system us effective in developing this decision support module. However, the module can still be improved by adding more data as the knowledge base or integrating the module directly with existing system in clinic or hospital.
Penerapan Sistem Rekomendasi Registrasi Mata Kuliah Informatika UKDW Kristian Hartono, Renaldi; Mahastama, Aditya Wikan; Lukito, Yuan
Jurnal Terapan Teknologi Informasi Vol 8 No 1 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.81.303

Abstract

Every time a new academic year begins, the UKDW Informatics study program will provide courses that students can choose when registering. The courses provided are basically divided into compulsory courses and elective courses. Based on these 2 types of courses, for Informatics students, especially in choosing elective courses, it is often adjusted to each student's area of interest. This area of interest is then adjusted to the courses available at the time of registration, however, Informatics students often experience confusion in choosing courses at the time of registration. Therefore, this research will design a course recommendation system that is used to help recommend courses to UKDW Informatics Students before registering. There are 2 engines used by the system, namely Python and Laravel. Python is used to process recommendations, while Laravel is only used to display recommendations. The recommendation process carried out by Python will use Collaborative Filtering which has processes including collecting data in the form of course rating results, processing similarities between courses for each area of interest, and calculating an evaluation matrix using MAP. Then the results of the highest similarity will be used as criteria for displaying recommendations. The results of the recommendations will then be checked using Laravel, so that each student can have different course recommendations.                   The system was tested with 10 test cases in the form of student scenarios from the classes of 2021, 2020 and 2019. The test case results show the courses that students should take, while the evaluation is related to the results of the courses recommended by the system. The testcase evaluation results were stated to have a success rate of 80% based on 8 out of 10 successful testcases. Furthermore, the system has an accuracy level for subjects of interest of 46.36% which is calculated using the Mean Average Precision (MAP) method by averaging based on the precision of 10 testcases. Precision is calculated by comparing the courses in the field of interest that have been recommended with the courses in the field of interest that have been taken in each test case.
Pembuatan Sistem Penerimaan Peserta Didik Baru SMP Maria Immaculata Berbasis Website F. Yogiswara Adinugraha P; Yuan Lukito; Joko Purwadi
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.386

Abstract

The research aims to develop a student admission system for Maria Immaculata Junior High School to improve the current inefficient process relying on Google Forms and manual document submission. In This Article, The waterfall methodology will be employed for system development, while questionnaires and usability testing will be used for user evaluation then using through questionnaires and usability testing. The research will involve PPDB (Penerimaan Peserta Didik Baru) staff and parents as respondents. Initial requirements will be gathered through observation and interviews with PPDB committee members. After analysis, the system's database and user interface will be designed and implemented. Testing will be conducted with PPDB staff to obtain feedback and make necessary improvements who can impacted to School or programs. Finally, the system will be deployed for public use. The system's usability was evaluated through questionnaires and usability testing. The results indicate high levels of ease of use, ease of learning, usefulness, and satisfaction, with an overall usability score of 83%. This suggests that the developed system is effective and well-received by users.
Co-Authors Aditya Wikan Mahastama Antonius R. Chrismanto, Antonius R. Antonius Rachmat Chrismanto Argo Wibowo Astuti, Laksmita Widya Budi Susanto Budi Susanto Daniel Felix Setiawan Dody Ivana Erinda Resha Astanti F. Yogiswara Adinugraha P Ginting Pebrindanov Gloria Virginia Halim Budi Santoso Hartono, Arfiananda Dhede Hizkia Juan Suryanto Hizkia Juan Suryanto, Hizkia Juan Katon Wijana Katon Wijana Katon Wijana Kevin Valiant Kristian Hartono, Renaldi Laurentius Kuncoro Probo Saputra Laurentius Kuncoro Probo Saputra, Laurentius Kuncoro Probo Lukas Chrisantyo Lukas Chrisantyo Naibaho, Yosep Parlindungan Nugroho Agus Haryono Pranatantri, Shalommita Purwadi, Joko Raden Gunawan Santosa Ragil Yoga Irawan Restyandito Rosa Delima Sagara Mahardika Sunaryo Setiawan, Daniel Felix Susilo, Anton Valonia Inge Santoso Verianto, Eko Wahju Satria Wibowo Widi Hapsari Willy Sudiarto Raharjo