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All Journal Jurnal Buana Informatika Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika Indonesian Journal of Information System JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sebatik Indonesian Journal of Computing and Modeling Jurnal Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Information Systems and Informatics Aiti: Jurnal Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi d'Cartesian: Jurnal Matematika dan Aplikasi Indonesian Journal of Intelligence Data Science (IJIDS) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal DIMASTIK
Yessica Nataliani
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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Klasifikasi Sidik Jari dengan Menggunakan Metode Wavelet Symlet Eko Sediyono; Yessica Nataliani; Chrisanty Mariana Rorimpandey
Jurnal Informatika Vol 5, No 2 (2009): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.771 KB) | DOI: 10.21460/inf.2009.52.77

Abstract

Penelitian ini menjelaskan tentang sistem klasifikasi sidik jari manusia menggunakan metode wavelet. Klasifikasi ini dikembangkan berdasar jenis pola utama dari sidik jari manusia. Jika ditemukan ada sidik jari manusia diluar dari jenis tersebut, maka jenis tersebut tidak akan diproses. Pada saat pertama gambar akan diproses dengan menggunakan transformasi wavelet. Transformasi wavelet dapat memberikan multiresolusi dari gambar nyata. Transformasi wavelet juga digunakan sebagai metode ekstraksi karakteristik dan mengurangi dimensi gambar input. Gambar yang telah dikurangi akan proses ke dalam klasifikasi sidik jari. Sidik jari yang menjadi masukan ke dalam klasifikasi pola utama, antara lain: Whorl, Arch, Tented Arch, Right Loop, dan Left Loop.
Penerapan k-Means Clustering Berdasarkan Analisis RFM Terhadap Segmentasi Pembeli untuk Meningkatkan Strategi CRM Tigar Cahyo Wiguno; Yessica Nataliani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4472

Abstract

An industry requires a good strategy in running its business. Saga Bako is a small industry that sells various types of tobacco and its equipment. However, Saga Bako has not yet implemented a Customer Relationship Management (CRM) strategy in its service to buyers. It is necessary to segment customers to find out less profitable buyers and buyers who provide large profits. The use of data mining also contributes when segmenting customers through the use of purchase data. The methodology applied in this research is CRISP-DM with purchase data at Saga Bako from January to March 2022. The k-means algorithm is applied in the formation of clusters based on the Recency, Frequency, Monetary (RFM) model, with the help of Weka 3.8.5 tools. The Elbow method is used to determine the best number of clusters (k). The results obtained are from 47 buyers with 663 transaction data divided into three clusters, 26 low potential buyers, ten medium potential buyers, and 11 high potential buyers.
Analisis Data Transaksi untuk Penempatan Produk Prioritas Oli Motor Menggunakan Algoritma Apriori Gigih Prima Subakti; Yessica Nataliani
Jurnal Inovtek Polbeng Seri Informatika Vol 7, No 2 (2022)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v7i2.2684

Abstract

Data mining is a process of finding essential and unique information, as well as operational business management that requires knowledge to increase the effectiveness and efficiency of the company. CV. XYZ is a bicycle and motorcycle spare parts shop located in West Java since 1999 and has had a transaction management system since 2012. However, the system is only used for recording and archiving, which should be used more optimally to improve the quality of operational management. The management of the layout of goods is not well planned by CV. XYZ, which should be able to be analyzed with existing transaction data. Therefore, this study focuses on transaction analysis to determine the layout of goods using the a priori algorithm with a minimum support of 4% and a minimum confidence of 50%. The research produces 21 association rules that can be used as a priority product placement on the CV. XYZ with a matcging percentage of 57.1% for the minimum support and confidence that has been tested.
The Analysis of Online Worship Services Acceptance using the UTAUT 2 Method and Clustering k-Means Gilang Jonathan Phita; Yessica Nataliani
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2020

Abstract

The characteristics and background of the church congregation and the acceptance of technology in online worship services were one of the parameter to determine user attitudes or behavior in accepting technology. The objective of this research to is to find out the acceptance of church congregation's technology toward the online worship services using the Unified Theory of Acceptance and Use of The Technology 2 (UTAUT 2), and answers of respondents from various backgrounds and ages were grouped using k-Means clustering. Data were collected through a questionnaire with a total of 220 respondents. From the UTAUT 2 method using multiple linear regression, it was found that the Habit variable on the use of online worship has a high influence toward the Behavioral Intention variable, and the Habit variable on the use of online worship has a high influence toward the Use Behavior variable. Furthermore, clustering with k-Means was carried out to see the age group that was satisfied with online worship services, based on four clusters obtained using the Elbow method and six age groups. The results of the k-Means clustering of all UTAUT 2 variables, the age group 12-16 years and 26-35 years are the most satisfied group and accept online worship services.
Pembangunan dan Pelatihan Website Gereja Bagi Jemaat Gereja Kristen Jawa Kana Pabelan Suharyadi Suharyadi; Tintien Koerniawati; Irwan Sembiring; Adriyanto Juliastomo Gundo; Theophilus Hermanus Wellem; Yessica Nataliani
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol 3 No 1 (2022)
Publisher : Universitas Kristen Satya Wacana Salatiga

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

Abstract

Gereja Kristen Jawa Kana Pabelan adalah gereja yang baru didewasakan pada tahun 2019. Gereja ini memiliki permasalahan dalam hal penyebaran informasi kepada jemaat, baik informasi mengenai permasalahan administratif maupun penyebaran Firman Tuhan. Meskipun masa pandemi Covid 19 sudah berangsur berkurang, namun pembatasan kerumunan masih diterapkan, hal ini yang menjadi salah satu penyebab penyebaran informasi kurang maksimal. Pendekatan Teknologi Informasi melalui pembangunan website menjadi solusi untuk pemecahan masalah tersebut. Program pengabdian masyarakat yang dilakukan oleh tim Pengabdian Masyarakat FTI, adalah pembangunan website GKJ Kana Pebelan, pelatihan administrator website kepada admin gereja, dan pelatihan contributor berita kepada komisi pemuda/remaja. Keberadaan website sangat efektif dalam penyebaran informasi, hal ini dibuktikan sampai saat ini sudah 13.093 kali diakses, hal ini menjadi salah satu indikator bahwa website sering dikunjungi untuk mengakses informasi gereja.
PENGELOMPOKAN PERFORMA PEMAIN BASKET DENGAN SELEKSI FITUR NILAI STATISTIK MENGGUNAKAN K-MEANS DAN FUZZY C-MEANS Alexander Franklyn; Yessica Nataliani
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 1 No 3 (2022): IT-Explore Oktober 2022
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.571 KB) | DOI: 10.24246/itexplore.v1i3.2022.pp166-178

Abstract

Assessment of individual performance in an organization is needed to improve organizational performance, not least in the basketball team. Satya Wacana Saints Salatiga is a basketball team in Indonesia that competes in the Indonesian Basketball League (IBL). All players have statistical values in a basketball game, including points, assists, blocks, rebounds, and steals. These five features can be used as a reference for coaches in determining the performance of players consisting of players with good, moderate, and poor performance. Feature selection determines the feature(s) that most affects a player's performance. In this study, a feature selection of the statistical value of players was carried out to assess the performance of basketball players. The data was obtained from IBL statistical data for the Satya Wacana Saints Salatiga team for the 2021 season. The method used was k-means and fuzzy c-means with feature selection. The experiment results showed that the point value was the main factor influencing players' performance. The comparison between the k-means and fuzzy c-means with the actual performance of the coaches' assessment shows that the fuzzy c-means algorithm has an accuracy rate of 1.0000, while the k-means algorithm is 0.8000. It means that the evaluation of the player's performance can be determined from the point value using the fuzzy c-means algorithm.
ANALISIS KUALITAS LAYANAN WEBSITE DISDUKCAPIL KABUPATEN SEMARANG DIUKUR MENGGUNAKAN INSTRUMEN WEBQUAL 4.0 Andree Eka Putra; Yessica Nataliani
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.292

Abstract

The Department of Population and Civil Registration organizes and publishes all matters relating to population. The existence of a service information system is a method used by Disdukcapil Semarang Regency to implement e-government, namely through the website http://dukcapil.semarangkab.go.id. Testing is needed for website user satisfaction using Webqual 4.0 as a website quality assessment instrument. The goal of this study is to get an overview of the influence/impact of the three website quality dimensions: usability, information, and service interaction qualities on user satisfaction. This study used 60 data tested by validity, reliability, multiple linear regression, t-test, and F-test. The results showed that the usability and information qualities affects user satisfaction, but the service interaction quality does not. In addition, the research found that the three dimensions of website quality together did not affect user satisfaction. They affect 39.2% of user satisfaction, while other factors outside the variables studied influence the other 60.8%.
Peramalan Curah Hujan dengan Pengelompokan Bulan Menggunakan Metode Double Exponential Smoothing dari Brown Yuda Novianto; Yessica Nataliani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 10, No 4 (2022)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v10i4.47167

Abstract

It is important to know the future rainfall, the way is to predict rainfall. By knowing future rainfall, development strategies such as irrigation, dams, urban drainage, harbour docks, agriculture, and even disaster mitigation strategies will be right on target. The purpose of this study is to predict the rainfall for Boyolali Regency and Surakarta City, Central Java in 2020-2021 with Brown's double exponential smoothing method. The type of data used is secondary data, which is obtained from the Meteorology, Climatology and Geophysics Agency of Semarang Climatology Station. The smoothing value, alpha, used in each month was varies, because the rainfall data is grouped first based on the same month, before it was forecasted. The results showed that the highest rainfall in 2020 was 490.73 mm (April) and the lowest was 3.25 mm (August). While for 2021, the highest rainfall was 521.37 (April) and the lowest was 3.25 mm (August), with an MSE of 14731.56, RMSE of 121.37, MAD of 97.42, and SSE of 176778.69.
Pembangkitan pola menggunakan konsep grup kertas dinding Yessica Nataliani; Theophilus Wellem; Ade Iriani
AITI Vol 18 No 1 (2021)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v18i1.1-13

Abstract

Two-dimensional repetitive and symmetrical patterns are found in everyday life, such as in cloth motifs, decorative art, road pavement design, and floor tiles. The repetitive and symmetrical patterns are formed by geometric transformation, which comprises translation, rotation, reflection, and glide reflection. In mathematics, the study of repetitive patterns on a plane, formed by geometric transformations, belongs to the plane symmetry group. This plane symmetry group is often referred to as plane crystallographic group or wallpaper group that comprises 17 known patterns. The purpose of this research is to generate various patterns from a basic pattern by applying the concept from the wallpaper group. Furthermore, this research also identifies four cloth motifs and categorizes them to the wallpaper group. This research was conducted by: (1) determining and creating a basic pattern that will be used to form other patterns, (2) generating 17 patterns from the basic pattern based on the patterns in the wallpaper group, (3) identifying some existing motifs downloaded from the Internet and categorize them to the wallpaper group. The basic pattern used in this research is a spiral pattern. The results obtained from this research are the 17 different spiral motifs as well as the identification of four motifs obtained from the Internet to one of the 17 patterns of wallpaper group.
Implementasi k-Means Clustering untuk Analisis Nilai Akademik Siswa Berdasarkan Nilai Pengetahuan dan Keterampilan Diwa Oktario Dacwanda; Yessica Nataliani
AITI Vol 18 No 2 (2021)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v18i2.125-138

Abstract

Tingkat keberhasilan siswa merupakan cerminan dari kualitas dunia pendidikan. Dunia pendidikan perlu meningkatkan kualitas siswa dan kinerja siswa melalui sarana, prasarana, dan sumber daya manusia. Sistem informasi kini menjadi sumber daya yang dapat digunakan untuk meningkatkan kualitas dan prestasi siswa, dengan melakukan analisis prestasi siswa. Analisis ini dilakukan dengan mengelompokkan prestasi siswa dari kemampuannya dalam menguasai materi pelajaran. Data didapat dari 266 siswa dan 12 mata pelajaran dengan dua kategori penilaian yaitu pengetahuan dan keterampilan sesuai dengan kurikulum 2013. Penelitian ini menggunakan metode k-means clustering, dimana penentuan jumlah cluster-nya ditentukan dengan indeks validitas Davies Bouldin. Tiga kelompok prestasi yang dihasilkan berdasarkan nilai akademik yaitu pintar, sedang, dan cukup. Sebagai pembanding, pengelompokan prestasi siswa ini juga dilakukan dengan melihat nilai pengetahuan saja. Sebanyak 10.15 persen dari keseluruhan siswa mengalami perpindahan cluster. Hasil yang didapat adalah pengelompokan siswa dengan nilai pengetahuan dan keterampilan dapat meningkatkan prestasi siswa.
Co-Authors Ade Iriani Adriyanto Juliastomo Gundo Advensius Natalis Agustinus Fritz Wijaya Alberaldo Difra Gunawan Alexander Franklyn Alwin Adi Putra Andree Eka Putra Anissa Enggar Pramitasari Anton Hermawan Antoni Erga Arthur, Christian Atik Setyanti, Angela Bryan Adha Elang Praditya Cahyaningtyas, Christian Chrisanty Mariana Rorimpandey Danny Manongga Deinard Yordan Sihombing Diwa Oktario Dacwanda Edi Suharyadi Eko Sediyono Elizabeth Sri Lestari Erdi Amos Saputra Ering, Anatasya Lingkanwene Erwien Christianto Gerian, Matthew Gigih Prima Subakti Gilang Jonathan Phita Gregorry, Febrianus Hanita Yulia Hapsari, Theresia Shinta Hendry Hindriyanto Dwi Purnomo Hui-Ming Wee Imanuel Susanto Indrastanti Ratna Widiasari Irwan Sembiring Jessica Widyadhana Iskandar Kirono, Aryo Sasi Krismiyati Kristoko Dwi Hartomo Leony Martiyana Putri Lorna Yertas Baisa Maria Feby Tri Martin Martin Merryana Lestari Michael Jonathan Mramra , Welianus Yohanes Yehuda Mulyono, Andronikus Natalis, Advensius Penidas Fodinggo Tanaem Prandiska, Kelvin Putra, Andree Eka Rama Tri Budi Ardianto Sanjaya, Rian Sediatmoko, Nur Siradj Suharyadi Suryady, Irwan Tambunan, Shanto Moyrano Theophilus Wellem Theopillus J. H. Wellem Tigar Cahyo Wiguno Tintien Koerniawati Wahab, Nur Haliza Abdul Willy Thomas Yuda Novianto