Article Per Year (5 Year)
p-Index From 2021 - 2026
13.45
P-Index
This Author published in this journals
All Journal Jurnal Informatika dCartesian: Jurnal Matematika dan Aplikasi Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika dan Teknik Elektro Terapan SMATIKA Sistemasi: Jurnal Sistem Informasi Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal EMT KITA JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Syntax Literate: Jurnal Ilmiah Indonesia JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal ULTIMA Computing JURIKOM (Jurnal Riset Komputer) Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) ComTech: Computer, Mathematics and Engineering Applications Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) Abdimasku : Jurnal Pengabdian Masyarakat INFOKUM Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informatika dan Komputer IJECS: Indonesian Journal of Empowerment and Community Services J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Ekonomi JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Media Computer Science Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi J-Icon : Jurnal Komputer dan Informatika Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) d'Cartesian: Jurnal Matematika dan Aplikasi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Magdalena Ariance Ineke Pakereng
Universitas Kristen Satya Wacana
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 111 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 111 Documents
Search

 5   6   7   8   9 
Pengembangan Website Showroom Bursa VW Trust Performance Berorientasi Pengguna Dengan Metode User Centered Design Briandika, Jordan; Pakereng, Magdalena A. Ineke
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i2.2008

Abstract

Bursa VW Trust Performance (BVTP) is a car showroom engaged in buying and selling Volkswagen cars located in Ginung, Gajahan, Colomadu District, Karanganyar Regency, Central Java. Currently, BVTP does not have an optimal showroom website to reach potential customers. By creating this showroom website, BVTP aims to improve user experience, as well as provide BVTP mobility in selling Volkswagen cars. Therefore, this research intends to develop a user-oriented BVTP showroom website using the User Centered Design (UCD) method.Keywords: Website; Showroom; VW Trust Performance Exchange; User Centered Design; User Experience AbstrakBursa VW Trust Performence (BVTP) adalah sebuah showroom mobil yang bergerak di bidang jual beli mobil Volkswagen yang terletak di Ginung, Gajahan, Kecamatan Colomadu, Kabupaten Karanganyar, Jawa Tengah. Saat ini, BVTP belum memiliki website showroom yang optimal untuk menjangkau pelanggan potensial. Dengan adanya pembuatan website showroom ini, BVTP bertujuan yaitu untuk meningkatkan pengalaman pengguna, serta sebagai mobilitas BVTP dalam melakukan penjualan mobil volkswagen. Oleh karena itu, penelitian ini bermaksud untuk mengembangkan website showroom BVTP yang berorientasi pengguna dengan menggunakan metode User Centered Design (UCD). 
Penerapan Metode Linear Regression dan Correlation Pearson Dalam Menganalisis Pengaruh Kualitas Pembelajaran Online Terhadap Prestasi Akademik Christin Ngongoloy, Beststinsi; Ineke Pakereng, Magdalena A.
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1529

Abstract

The research conducted aims to analyze the academic activities of students who have carried out online learning during the Covid-19 pandemic and determine its effect on student academic achievement after online learning is implemented. The method used is the linear regression method and correlation pearson with the help of the SPSS 22 application. SPSS 22 is statistical software for solving business, and research problems through predictive analysis and hypothesis testing. The results showed that the correlation value of 0.467 has a weak correlation relationship with a KD value contribution of 0.000% which means that a value of 100% comes from the influence outside the analysis variable with a significance of 0.937> 0.05, so it is declared insignificant and does not meet the linearity criteria by obtaining a regression model equation Y = 14.778 + 0.014 X and R Count 0.012 < R Table 0.2732 which means that there is no evidence of correlation between the variables analyzed. Based on these results, it is concluded that the quality of online learning has no influence on student academic achievement.Keywords: Online Learning; Academic Achievements; Regression; Correlation; SPSS AbstrakPenelitian yang dilakukan bertujuan untuk menganalisis kegiatan akademik mahasiswa yang telah melaksanakan pembelajaran online selama pandemi Covid-19 dan mengetahui pengaruhnya terhadap prestasi akademik mahasiswa setelah pembelajaran online dilaksanakan. Metode yang digunakan adalah metode regresi linear dan korelasi pearson dengan bantuan aplikasi SPSS 22. SPSS 22 adalah perangkat lunak statistik untuk memacahkan masalah bisnis, dan penelitian melalui analisis prediktif dan pengujian hipotesis. Hasil penelitian menunjukkan bahwa nilai korelasi sebesar 0,467 memiliki hubungan korelasi lemah dengan kontribusi nilai KD sebesar 0,000% yang berarti nilai sebesar 100% berasal dari pengaruh luar variabel analisis dengan Signifikansi sebesar 0,937 > 0,05 maka dinyatakan tidak signifikan dan tidak memenuhi kriteria linearitas dengan memperoleh persamaan model regresi Y = 14,778 + 0,014 X dan R Hitung 0,012 < R Tabel 0,2732 yang berarti tidak terbukti adanya korelasi antar variabel yang dianalisis. Berdasarkan hasil tersebut disimpulkan bahwa kualitas pembelajaran online tidak memiliki pengaruh terhadap prestasi akademik mahasiswa. Kata kunci:  Pembelajaran Online; Prestasi Akademik; Regresi; Korelasi; SPSS
Penerapan Text Mining Menggunakan Algoritme Naïve Bayes Dalam Mengklasifikasi Sentimen Netizen di media sosial Twitter (Studi Kasus Pertemuan KTT G20 di Indonesia) Yuliadi, Yusup; A. Ineke Pakereng, Magdalena
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1245

Abstract

The G20 is a forum that discusses global issues including Finance Track and Sherpa Track, this forum consists of developed and developing countries. The purpose of this research is to classify positive and negative tweets using the naive bayes method. The naive bayes method can predict future possibilities based on past experience and this method is recommended from several previous researchers because this method is considered suitable for analyzing positive and negative tweets in the dataset. The existing data is processed using rapidminer and produces a model. Based on the model of the naive bayes method seen from 700 training data, 675 positive predictions with class precision 100.00% and 22 negative predictions with class precision 88.00% and with an analysis accuracy value of 99.57%. So it can be concluded that many people have positive sentiments on twitter when the G20 is held in Indonesia and the G20 can be an effort to encourage the country's economy to be even better.Keyword: Text mining; G20 Summit; Naive Bayes; Netizen sentiment    AbstrakG20 merupakan forum yang membahas isu masalah global antara lain, Finance Track dan Sherpa Track, forum ini beranggotakan negara maju dan berkembang, Tujuan penelitian ini adalah mengklasifikasikan tweet positif dan negatif menggunakan metode naive bayes. Metode naive bayes dapat memprediksi kemungkinan masa depan berdasarkan pengalaman masa lalu serta metode ini direkomendasikan dari beberapa peneliti sebelumnya karena metode ini dianggap cocok untuk menganalisa tweet positif dan negatif dalam dataset. Data yang ada diolah menggunakan rapidminer dan menghasilkan model. Berdasarkan model dari metode naive bayes dilihat dari 700 data latih, 675 prediksi positif dengan class precision 100.00% serta 22 prediksi negatif dengan class precision 88.00% dan dengan nilai analisa accuracy 99,57%. Jadi dapat disimpulkan banyak masyarakat yang bersentimen positif di twitter saat digelarnya G20 di Indonesia dan G20 ini dapat menjadi upaya untuk mendorong perekonomian negara agar lebih baik lagi.Kata kunci: Text Mining; Konferensi Tingkat Tinggi G20; Naive Bayes; Sentimen Netizen
Penerapan Metode Decision Tree Dalam Menganalisis Traits Kepribadian Neuroticism Pada Dinamika Psikologis Mahasiswa Saghoa, Evifania Chayu; A. Ineke Pakereng, Magdalena
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1248

Abstract

Kepribadian adalah sesuatu yang menggambarkan keunikan seseorang yang membedakan orang tersebut dengan orang lain, dan melalui kepribadian seseorang maka dapat diramal perilaku yang akan ditampilkan orang tersebut dalam menghadapi suatu situasi tertentu. Neuroticism dapat didefinisikan sebagai kepemilikan akan emosi negatif seperti cemas, khawatir, rasa tidak aman, dan labil. Penelitian ini bertujuan untuk menganalisis salah satu dari 5 dimensi Traits Personality, yaitu neuroticism menggunakan salah satu metode Machine Learning yaitu Decision Tree. Subjek penelitian ini adalah 86 Mahasiswa. Hasil penelitian menunjukkan adanya mahasiswa Neuroticism dengan persentase ketepatan hasilnya pada RapidMiner sebesar: 47,14% (Anxiety), 64,29% (Anger), 47,14% (Depression), dan 66,90% (Vulnerability).Kata Kunci: Big Five Personality; Neuroticism; Decision tree
Penerapan Metode K-Means Clustering Untuk Analisis Potensi Lahan Pangan Pada Provinsi Kalimantan Selatan Harjono, Rhaka Pradena; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.596

Abstract

National food needs are increasing along with the current population of 237 million people with growth that continues to increase every year, so it needs to be balanced with the provision of sufficient agricultural land resources. The application of the K-Means in the grouping of potential agricultural land in South Kalimantan Province, with the aim of obtaining groups of potential land data. By using the K-means clustering algorithm, the data is divided into 3 clusters, namely cluster 0 with a low potential of 6 districts, cluster 1 with a medium potential of 5 districts, and cluster 2 with a high potential of 2 districts.
Analisis Data Nilai Siswa Kelas 8 Berbasis Nilai Pengetahuan Untuk Menentukan Siswa Berprestasi dengan K-Means Clustering (Kasus SMP Negeri 4 Salatiga) Saputra, Denny Agusto; Pakereng, Magdalena A. Ineke
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.v7i2.672

Abstract

This study aims to analyze data on grade 8 students who excel at SMP Negeri 4 Salatiga using the K-Means Clustering method. The purpose of this analysis is to identify student group patterns based on student academic achievement. The data used in this research are grade 8 students' grades from SMP Negeri 4 Salatiga. The K-Means Clustering method is used to divide students into groups that have comfort in academic achievement. The results showed that there were 35 students who received the highest score when presented, the results obtained were 14.5%, while 35 students who received medium scores when presented, the results obtained were 14.5%, and 172 students who obtained the highest scores if presented, the results obtained were 71%, with the lowest score of a total of 242 students.
Perancangan Sistem Informasi Pendataan Pegawai pada Dinas Lingkungan Hidup Salatiga Berbasis Web Menggunakan Framework Laravel Setiawan, Kevin; Pakereng, M A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1097.425 KB) | DOI: 10.30645/j-sakti.v5i2.364

Abstract

The Environmental Office in the City of Salatiga is a government agency which engaged in the environmental sector. The employee data collection system currently used is still manual by recording data of employee with Microsoft Excel afterwards the data will be stored in a form of archive or printed. By using an ancient method this is certainly less effective due to it will take a lot of time and make the data will be lost easily. Therefore, we need a web-based information system to make all easier for officers to collect employee data. In this study a web-based employee data collection of information system was built using a Laravel Framework. The Laravel Framework is used to make a build system convenient to implement and already provides any kind of features such as database migration and integration unit testing support to supply an easiness for the developers to build applications. This study aims to create an employee data collection information system so that it can be used to facilitate the officers to collect the data of employees at the Environmental Office in the City of Salatiga. The result of this study is showed that by using this kind of application, performance of employee can be improved efficiently.
Penentuan Tingkat Pemahaman Mahasiswa dalam Matakuliah Kelas Daring dengan Algoritma C4.5 (Studi Kasus: Mahasiswa/i FTI Angkatan 2019) Tarigan, Aldy Alvharo; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.597

Abstract

The purpose of this study was to classify using the C4.5 algorithm to determine student understanding of online lectures at the SWCU Information Technology Faculty. In carrying out lecture activities where students must conduct online lectures, students are expected to be able to understand all the material provided. Many things affect student understanding in digesting online lecture material. The data was taken from the questionnaire results from the 2019 SWCU Information Technology Faculty student. The five attributes used were the learning atmosphere, learning tools, communication, teaching methods, and networking. The research method used is the C4.5 algorithm which builds a decision tree using RapidMiner software. Based on the results of the study, there were 27 rules  with 18 rules understood rules . In the case of students' level of understanding in online classes, the accuracy rate reaches 70%, which means that students quite understand the courses presented online.
Klasifikasi Anak Berpotensi Putus Sekolah dengan Metode Naïve Bayes Di Kabupaten Manokwari Yoridi, Maria Leonila Yawa; Pakereng, Magdalena A. Ineke
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.v7i2.700

Abstract

National development is determined by qualified human resources. Education is a universal activity in the life of a human being. To create quality human beings must be equipped with education, both education at school and outside school. The main problem of education in Manokwari Regency, West Papua is that there are still many children who do not continue their education or stop going to school in the middle of their journey. The Naïve Bayes algorithm with Cross Validation operators was used to analyze the data and predict children who could potentially drop out of school. The results showed that the prediction accuracy rate was 70%. The Naïve Bayes method tends to provide accurate results in predicting children who are not likely to drop out of school with a class precision of 88.89%. However, this method has limitations in predicting children who are potentially or very likely to drop out of school, with class precision and class recall being low for the label of 0.00%.
Analisis Penyaluran Produk Prekursor di PT Tri Sapta Jaya Palangka Raya pada Wilayah Kalimantan Tengah Kaferin, Eggia; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.483

Abstract

This research aims to examine the distribution of precursor products in Central Kalimantan. The method of this research is quantitative. This research used a descriptive analysis approach. Technique of data collection is used with documentation. The data analysis used a quantitative descriptive, which aims to describe or depict an object through data collected that have been arranged into simple form. The results of this research reveals that the distribution of the precursor products in 14 regions is normal which helps the firm to distribute the products directly towards the precursor in medics. The highest area or region is Palangka Raya with 4267.5 products and the lowest is Pulang Pisau with 3 products in a period of eight months. The direct distribution applied as the firm's effort to optimize the available resources to satisfy the consumer and retailer in Central Kalimantan
Co-Authors Adam Belo Paembonan Afiyatar Asyer Asyer Afril Caesar Muhammad Hanif Agnes Meilosa Callysta Airlangga, Radithya Alexander Mario Saputra Alvira Karisma Putri Alz Danny Wowor Alz Danny Wowor Andeka Rocky Tanaamah Angela Putri Larasati Darakay Angellio Wattimena Anggara, Richardus Sapta Antonius Bintang Timur Aziiz, Anriza Kurnia Bhilton Mesianus Obidje Bramantya, Samuel Dwi Briandika, Jordan Christin Ngongoloy, Beststinsi Claudio Canavaro Daniel Satria Mahardhika Deasy Carolina Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Donny Octariyanto Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang E.V. Sihombing, Kristina Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs Evangs Mailoa Falensky, Lee Valdho Faradisia, Adeline Febriyanti, Monica Dias Federick Jonathan Felik Darmawan Wijaya Felix David Fernando, Fery Ferryan Nur Setyawan Feybiola Agustine Andrea Ompo Geraldie Tanu Saputra Getsemani Salisa Margaretha Gwen Theresia Grandis Aritonang Harjono, Rhaka Pradena Heinricho Dimas Prasetya Helena Dorthea Fiay Hendrawan Suprayogi Herdaning Sandra Kumalasari Jaya, Deni Supimum Jesajas, Marthen Billy Jessica Christiani Irawan Jonathan Nandika Gustin Jordan Johan Josafat Simanjuntak Juan Andrew Suthendra Juan Keinan thimothi Paparang Julio, Erry Kaferin, Eggia Kevin Alexander Harjanto Kevin Setiawan Klaudius Nikotino P Kristoko Dwi Hartomo Kumbara, Perdana Bagas Tirta Lenda, Julita Veronika Letuna, Noliyanti Ria Lusman, Chrizanny Winifred Mei Irawati Michael, Sean Mochammad Iqbal Tawakal Muhammad Haidar Wijaya Nadya Glorya Najoan Najoan, Nadya Glorya Nanda Choirul Ngantung, Ronaldo Kristoforus Ni Made Grace Advendi Nina Setiyawati Pali'pangan, Prihart Julian Pattipeilohy, Rioldy Leonard Perdana Bagas Tirta Kumbara Prasetya, Ezra Inti Pratama, Leonnyndra Putra Puspitasari, Pipit Putra, Arios Wardana Putra, Oktavian Alle Mahenswa Radithya Airlangga Ramos Somya Rheyna Atalya Setiadi Ririn Ayu Ardila Riza Jeheskiel N. Tarigan Rizki, Muhammad Bagus Robby Adrian Fajar Sulistya Sulistya Saghoa, Evifania Chayu Salama, Aditya Santoso, Chrys Nathanael Saputra, Denny Agusto Seli, Francelia Regina Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Stevanus Januar Latuluma Talahaturuson, Januar C. Tarigan, Aldy Alvharo Tobing, Prihantoro Manahan Tolanda, Dominus Alfin Tuah, Oliver Vincent Vincent Exelcio Susanto Virgelius Hendrawan Taralandu Wicaksana, Prasetya Wicaksono, Embang Aulia William Chrisnando Ekasaputra Willson Mangoki Yoridi, Maria Leonila Yawa Yos Richard Beeh Yosepinus Trinaldo Yoshua Kenny Nugroho Yuliadi, Yusup