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All Journal Proceedings of KNASTIK Epsilon: Jurnal Matematika Murni dan Terapan Teknik dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Information Systems Engineering and Business Intelligence Journal of Animation & Games Studies Jurnal Teknologi dan Sistem Komputer Jurnal Pendidikan (Teori dan Praktik) JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal ULTIMATICS International Journal of Community Service Learning Jurnal Informatika JUPIKA: JURNAL PENDIDIKAN MATEMATIKA Jurnal Abdi Masyarakat Indonesia JP (Jurnal Pendidikan) : Teori dan Praktik GIAT: Teknologi untuk Masyarakat SERVIRISMA: Jurnal Pengabdian kepada Masyarakat International Journal of Information Technology and Computer Science Applications (IJITCSA)

Raden Gunawan Santosa

Program Studi Informatika, Universitas Kristen Duta Wacana

Author-ID : 370702

Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Transportation Other

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PERBANDINGAN METODE LZ77, METODE HUFFMAN DAN METODE DEFLATE TERHADAP KOMPRESI DATA TEKS Christian Puji Nugraha; R. Gunawan Santosa; Lukas Chrisantyo A.A.
Jurnal Informatika Vol 10, No 2 (2014): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Data compression is a very important process in the world that has been vastly using digital files, such as for texts, images, sounds or videos. Those digital files has a varied size and often taking disk storage spaces. To overcome this problem, many experts created compression algorithms, both for lossy and lossless compression. This research discusses about testing of four lossless compression algorithms that applied for text files, such as LZ77, Static Huffman, LZ77 combined with Static Huffman, and Deflate. Performance comparison of the four algorithms is measured by obtaining the compression ratio. From the test results can be concluded that the Deflate algorithm is the best algorithm due to the use of multiple modes, i.e. uncompressed mode, LZ77 combined with Static Huffman mode, and LZ77 combined with Dynamic Huffman Coding mode. The results also showed that the Deflate algorithm can compress text files and generates an average compression ratio of 38.84%.

Implementasi Transformasi Haar Wavelet untuk Deteksi Citra Jeruk Nipis yang Busuk Lidya Andriani Sunjoyo; R. Gunawan Santosa; Kristian Adi Nugraha
Jurnal Informatika Vol 12, No 2 (2016): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Lime is a fruit that has been widely cultivated and used in Indonesia. Many products use this fruit in the production process. The process of sorting fruit is undeniably a very substantial early process. It is necessary for large-scale be aware of this in term of result and time required for the sorting process. Pattern Recognition is a discipline that focuses on classifying or picturing an object based on characteristics or main attribute of the object. In this research, the author implements Haar Wavelet Transformation method by characteristic extraction based on colour and texture , performs classification using K-Nearest Neighbor (k-NN) to detect indication of rotten lime and the grade of k on k-NN so the accuracy of the result could be acquired. Based on analysis result, Haar Wavelet Transformation method is able to be implemented to detect the indication of rotten lime and most optimal accuracy level of this system reaches the number of 85 percent.

IMPLEMENTASI DYNAMIC PROGRAMMING PADA PENENTUAN JENIS MATERIAL UTAMA BANGUNAN ARENA FUTSAL Andree Anthony; R. Gunawan Santosa; Yuan Lukito
Jurnal Informatika Vol 10, No 1 (2014): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Building futsal court need some planning, especially about the materials needed to build a futsal court such as synthetic grass, roofs, walls, benches, and some other materials. Each of materials have many choices usually based on quality and price. Thus it needs a system to assist on calculating the optimum materials combination based on a specified budget. Minimax Route method are used with dynamic programming techniques to maximize the quality of materials while minimizing the price of materials chosen. Based on system testing conducted to futsal court owners in Yogyakarta, the implementation are helpful and have many useful information for someone who want to build futsal court.

Penyelesaian Masalah Symmetric Traveling Salesman Problem Dengan Jaringan Saraf Continuous Hopfield Net Apul Prima S; Sri Suwarno; R. Gunawan Santosa
Jurnal Informatika Vol 6, No 2 (2010): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Makalah ini membahas Penyelesaian Masalah Symmetric Traveling Salesman Problem Dengan Jaringan Saraf Continuous Hopfield Net. Fokus permasalahan adalah seorang salesman harus mengunjungi semua kota sebanyak satu kali dan salesman tersebut harus mulai dari dan kembali ke kota asal. Tujuannya adalah menentukan rute perjalanan dengan jarak total ataupun biaya yang paling minimum. Salah satu bentuk permasalahan TSP adalah symmetric TSP yang menandakan bahwa jarak antar kota bersifat simetrik dengan setiap kota terhubung satu sama lain. Solusi dari permasalahan ini adalah dengan membangun suatu sistem aplikasi untuk menyelesaikan permasalahan symmetric TSP. Adapun penulis menggunakan salah satu metode jaringan saraf tiruan yaitu Continuous Hopfield Net

Inovasi Pembelajaran Logika-Simbolik melalui Aplikasi DUTAlogic bagi Siswa Tunarungu Antonius Rachmat Chrismanto; Matahari Bhakti Nendya; Junius Karel Tampubolon; R Gunawan Santosa; Wayan Edi Sudarma; Handi Hermawan
Jurnal Pendidikan (Teori dan Praktik) Vol 5 No 1 (2020): Volume 5, Nomor 1, April 2020
Publisher : Fakultas Ilmu Pendidikan Universitas Negeri Surabaya

Logic is an analysis of methods of thinking. Logic emphasizes the form more than the content of arguments. mathematical logic is often also called the symbolic-logic is a part of mathematics that explores the application of formal logic to mathematics. This has a close relationship with the basic fundamental thinking of mathematics and theoretical computer science.In this research we do three important things, the first is conventional symbolic-logic training for SLB Negeri 1 Bantul. The second step is making of symbolic-logic learning application for deaf students called DUTAlogic and the third is seeing the comparison between conventional learning and learning using the DUTAlogic.Based on data analysis that was done. Thar result show that increase in symbolic logic ability (T) is 50%, increase in the ability of symbolic natural accuracy (N) is 50%. The used of DUTAlogic application is more attractive to deaf students because they feel happier, easier, more-understanding, more concentrated and more creative when doing symbolic-logic learning.

PENDAMPINGAN PEMBUATAN DAN PENGELOLAAN DATA ELEKTRONIK JEMAAT GKJ WATES Yetli Oslan; Harianto Kristanto; Raden Gunawan Santosa
Servirisma Vol. 1 No. 1 (2021): Servirisma : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Kristen Duta Wacana

Church parishioners data management is an important part of the administration of a church. In fact, many churches do it manually where parishionersal data is stored in physical forms or in church record books. This condition happened at GKJ Wates. The initial condition at GKJ Wates is the data from of a physical form . The data is the result of the census about 2 (two) years ago. It is realized that the data has changed a lot, so it is necessary to update before implementing electronic data management. In an effort to assist the administration of the church's data, assistance steps have been developed that include the compilation of attributes relevant to the church's data management. Furthermore, the attributes are compiled into a form that is ready to be filled out by each parishioners. This agreed form is then distributed to the parishioners through their respective district administrators. The church team, assisted by the UKDW PkM team, recorded the parishioners's data electronically, complete with a spiritual journey scheme including baptism, sidi, and marriage. By utilizing Excel Macro, the electrical data of the GKJ Wates parishioners was successfully visualized in the form of a dashboard. The visualized parishioners data includes the percentage of the parishioners by blood type and gender, the church's spiritual journey scheme based on membership category, membership records, age category, and gender. The information on this dashboard can help the church in making decisions related to the development of the parishioners at GKJ Wates.

Data Mining Untuk Menguji Relevansi Keberadaan Prasyarat Mata Kuliah Yetli Oslan; Harianto Kristanto; Raden Gunawan Santosa
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (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.v10i2.4407

A good curriculum is an important part of an academic process. The curriculum in the Information Systems Department is grouped 5 (five) knowledge clusters, one of which is the Database cluster which will be used in this research. The Database cluster consists of 5 (five) courses, namely SI1433 [Information System Analysis and Design], SI1443 [Database Systems], SI2323 [Database Design], SI3433 [Data Warehousing], SE4323 [Data Mining]. The purpose of this research is to see the relevance of the existence of prerequisite courses in courses in the Database sciences group. Relevance was measured from the independence test of pairs of 2 (two) courses based on the chi-square distribution statistical test. If the course pair shows dependency, then the existence of prerequisites is considered appropriate, whereas if the results show independence, then the prerequisites are not needed. The final conclusion from this research is that the pairs of 5 subjects studied are all dependent except for courses SI1433 (Information System Analysis and Design) and SI3433 (Data Warehousing) with a significant probability value of 0.265. So implementing the prerequisite courses in the Database cluster in the UKDW Information Systems department is relevant.

Comparison of the Accuracy of Brown's and Holt's Double Exponential Smoothing in LQ45 Stock Price Forecasting Santosa, Raden Gunawan; Chrismanto, Antonius Rachmat; Raharjo, Willy Sudiarto
International Journal of Information Technology and Computer Science Applications Vol. 2 No. 1 (2024): January - April 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v2i1.112

As of May 2022, 787 stocks are listed on the Indonesia Stock Exchange (IDX), and the number of stock indices in Indonesia to date is 38. One interesting and important stock index is the LQ45 index. Because this index is a very important reference index for investors, this research data focuses on stocks in the LQ45 index. There are two essential things in the forecasting process: the data and the right forecasting method. Two forecasting methods that can be used are Brown and Holt's Double Exponential Smoothing (DES). This study examines two methods with the lowest accuracy error in forecasting the LQ45 stock price data. Mean Absolute Percentage Error (MAPE) is used to measure the accuracy of the error. The analysis methods used to compare the MAPE of the two methods are the F test for variance similarity, Boxplot, t-test to test paired means with different cases of variance, and Wilcoxon signed rank test to test paired means nonparametric statistics. The result is that the MAPE average with Holt's DES method is smaller than the average MAPE with Brown's DES method. This is supported by the t-test for paired means with different cases of variance and also supported by the Wilcoxon signed exact rank test. Meanwhile, the MAPE standard deviation with Holt's DES method is smaller than the MAPE standard deviation with Brown's DES method. This is supported by the F test to test the variance similarity and is visually supported by a Boxplot diagram. From this study, LQ45 stocks with the smallest MAPE value accuracy are ICBP stocks. In general, based on the MAPE value, Holt's DES method is better than Brown's DES method in predicting the prices of stocks in the LQ45 index.

LQ45 Stock Price Forecasting: A Comparison Study of Arima(p,d,q) and Holt-Winter Method Santosa, Raden Gunawan; Chrismanto, Antonius Rachmat; Raharjo, Willy Sudiarto; Lukito, Yuan
International Journal of Information Technology and Computer Science Applications Vol. 2 No. 2 (2024): May - August 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v2i2.150

The Holt-Winter method and ARIMA(p,d,q) are two frequently used forecasting techniques. When using ARIMA, errors are expected to be connected with earlier errors because it is based on data correlation with prior data (autoregressive) (moving average). The Holt-Winter model comes in two different forms: Multiplicative Holt-Winter and Additive Holt-Winter. No one has ever attempted to compare combined time series and cross-section data, despite the fact that there has been a great deal of prior study on ARIMA and Holt-Winter. In a combined time-series and cross-section dataset, the accuracy rates of Holt-Winter and ARIMA(p,d,q) will be compared in this study. LQ45 stock prices are used because they track the performance of 45 stocks with substantial liquidity, sizable market caps, and solid underlying businesses. The Mean Absolute Percentage Error (MAPE) method is used to gauge accuracy. This study contributes to MAPE exploration by using a Boxplot diagram from cross-sectional data. With the Boxplot diagram, we can see the MAPE spread, the MAPE's center point, and the presence of outliers from the MAPE of LQ45 stock. According to the findings of this empirical study, the average error rate for predicting LQ45 stock prices using ARIMA is 7,0390%, with a standard deviation of 7,7441%; for multiplying Holt-Winter, it is 29,3919%, with a standard deviation of 25,7571%; and for additive Holt-Winter, it is 18,0463%, with a standard deviation of 18,3504%. Apart from numerical comparisons, it can also be seen visually, based on the Boxplot diagram, that the MAPE of ARIMA(p,d,q) is more focused than Holt-Winter. In addition, in terms of accuracy distribution, it can be seen that the MAPE accuracy of the ARIMA method produces four outliers. Based on the MAPE accuracy rate, we conclude that Holt-Winter has a bigger error based on the MAPE value than ARIMA(p,d,q) at forecasting LQ45 stock prices.

Pelatihan Persiapan Olimpiade Sains Nasional Bidang Komputer Untuk Siswa SMA Pangudi Luhur Yogyakarta Lukito, Yuan; Chrismanto, Antonius Rachmat; Wibowo, Argo; Delima, Rosa; Santosa, Raden Gunawan; Haryono, Nugroho Agus; Wijana, Katon
GIAT : Teknologi untuk Masyarakat Vol. 3 No. 1 (2024): Mei 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v3i1.9166

Kompetisi Olimpiade Sains Nasional (OSN) yang rutin diselenggarakan setiap tahunnya membutuhkan persiapan dari siswa-siswa sekolah yang ingin mengikuti kompetisi tersebut. SMA Pangudi Luhur Yogyakarta ingin mengikuti kompetisi tersebut dengan mengirimkan beberapa siswanya, sehingga membutuhkan pelatihan OSN untuk siswa-siswanya. Tim PKM dari Fakultas Teknologi Informasi bersedia untuk mengadakan pelatihan OSN dengan menyiapkan materi-materi dengan topik algoritma, logika dan aritmatika sesuai dengan silabus OSN. Pelatihan dilaksanakan selama 14 pertemuan di kampus Universitas Kristen Duta Wacana. Pelatihan tersebut telah berhasil dilaksanakan dengan baik dan berhasil memenuhi kebutuhan dari pihak sekolah. Pada materi algoritma didapatkan peningkatan rata-rata nilai post-test terhadap rata-rata nilai pre-test, yaitu meningkat dari 57,14 menjadi 97,14. Hasil evaluasi dari pelaksanaan pelatihan ini secara umum sudah baik dan sesuai kebutuhan, walaupun ada beberapa permasalahan seperti jadwal pelatihan yang terpaksa mundur dan tingkat partisipasi siswa yang makin menurun pada beberapa pertemuan akhir.

Co-Authors Aditya Wikan Mahastama Amanda A. Diadema Andree Anthony Antonius Rachmat Chrismanto Apul Prima S Argo Wibowo Bhernardin Erryco Gagah Pattriskak Budi Susanto CHARIS AMARANTINI Christian Puji Nugraha Dea Alverina Devian Ricko Hutama Devri Riza Setyawan Elisabeth Adelia Widjojo Erdoria Kristina Erick Kurniawan Ernawati, Lussy Florentinus Alvin Sebastian Gabriella Amelia Prasetyo Gani Indriyanta Handi Hermawan Harianto Kristanto Harianto Kristanto Hermawan, Handi Joko Purwadi Jong Jek Siang Junius Karel Junius Karel Tampubolon Junius Karel Tampubolon Junius Karel Tampubolon Katon Wijana Kevin Valiant Kezia Satyawati Kristanto G, Steven Kristian Adi Nugraha Leo Sendra Lidya Andriani Sunjoyo Lukas Chrisantyo A.A. Matahari Bhakti Nendya Matahari Bhakti Nendya, Matahari Bhakti Nita Christina Saputro Nugroho Agus Haryono Priagung Satriyotomo Purwadi, Joko Rendy Setiawan Restyandito Robby Triadi Susanto Rohani Utomo Rosa Delima Ruby Vidian Hartanto Samuel Gandang Gunanto Santosa Raharjanto Selvy Welianto Setiadi, Hendro Sri Suwarno Sri Suwarno Sudarma, Wayan Edi Theresia Herlina R. Wayan Edi Sudarma Willy Sudiarto Rahardjo Willy Sudiarto Raharjo Yetli Oslan Yetli Oslan Yohanes Tennary Rinto Pradhana Yuan Lukito Yuan Lukito

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