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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 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 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal ULTIMA Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) 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) 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) Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) 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

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INFORMATION SYSTEM VALENT FOR PT ENSEVAL PUTERA MEGATRADING ON MOBILE USING EXPO Michael, Sean; Pakereng, Magdalena A. Ineke
Jurnal Pilar Nusa Mandiri Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v16i2.1499

Abstract

Every year, routinely PT. Enseval Putera Megatrading held several events which were held face-to-face and online and involved many parties, from the employees' board of directors and external parties as sources. The events held include: National Work Meeting (RAKERNAS), Mid Year Work Meeting, Product Launching, EMDP Graduation, Enseval Anniversary, Innovation Forum, and others. There are at least 3 stages that the Event Owner must go through in organizing and achieving the goals of an event, pre-event starting from the formation of the committee to determining the concept of the event that will take place, running events starting from registering participants who are present in the event to maintaining the event's run down, post events ranging from gathering feedback on events to publishing materials. An event management system is absolutely necessary to support the success of the event. Valent, which is a React Native based mobile application, is the right step to answer this need. React native is an application that is used using the JavaScript programming language to create applications in developing applications on smartphones based on Android and iOS. (Zammetti, 2018) This allows Valent to run on 2 OSes at once (Android & IOS) so that all event participants can enjoy the benefits of the Valent application directly from their respective smartphones.
IMPLEMENTATION OF LARAVEL FRAMEWORK IN THE DEVELOPMENT OF LIBRARY INFORMATION SYSTEM (STUDY CASE: SMK PGRI 2 SALATIGA) Wicaksono, Embang Aulia; Pakereng, Magdalena Ariance Ineke
Jurnal Pilar Nusa Mandiri Vol 16 No 2 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v16i2.1666

Abstract

library is a means of support for students to develop their potential by increasing their knowledge through books. good library management is needed to facilitate students to support their learning. SMK PGRI 2 Salatiga has a library. the system applied to manage this library uses conventional methods where all library data is recorded into books. This system has a weakness that is prone to errors in recording and searching data. To deal with this problem, we need a system that can help manage library data. library information system can assist library management because all data can be recorded into the system and accessed through the system. This research was conducted to build a library information system that implements the laravel framework as an application framework. Laravel has various functions that can be used to help web application development. Based on the application testing carried out, the library information system of SMK PGRI 2 Salatiga has been running according to design and can handle library data recording by implementing the functions of the laravel
Sistem Informasi Penjualan Kayu dan Keramik Berbasis Website (Studi Kasus: UD. ABC Jendral Sudirman Salatiga) Putra, Oktavian Alle Mahenswa; Pakereng, Magdalena A.Ineke
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.v5i2.820

Abstract

UD. ABC is a trade unit or shop in the wooden and ceramic fields located in General Sudirman, Argomulyo district of Salatiga City.The system of sales transactions used in this store UD. ABC is still manually by means of recording the sales data on the notebook and after that the data will be written and stored just so, the recording of the sales transaction that is still manual of course is still less effective and at any time the data can be lost.Therefore, there is a need for a website-based information system that can make it easier for employees to record sales transactions. With the presence of a web-based sales application this also makes it easy for employees, because of the large amount of product data and having a large number of customers, with this employee can easily record the sales transaction data and store it and excel form. In this study, it was built using the prototyping method.-based sales information system web designed using the PHP programming language and MySQL database.method black-box testing.
Analisis Data Penjualan di Mobile Cell Menggunakan Triple Exponential Smoothing (TES) Putra, Arios Wardana; Pakereng, Magdalena A.Ineke
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.402

Abstract

The increasingly rapid development of digital technology has made the use of cellphones increasingly widespread and used by almost all groups, which makes cellphones one of the basic necessities coupled with accessories where these accessories protect cellphones from damage and make cellphones more attractive. A mobile cell shop is a shop that sells cellphones and their accessories, but over time, sales have gone up and down due to several problems that have occurred. This research uses the Triple Exponential Smoothing method to analyze and forecast sales at Mobile Cell Shops. The results of the research show that the MAPE (Mean Absolute Percentage Error) value obtained for the 3 existing sales items has an accuracy level of 50%, which means the forecasting is good and feasible. This can provide insight into making the right decisions in making sales.
ANALYSIS OF USER SATISFACTION LEVEL IN F-LEARN USING EUCS METHOD Pali'pangan, Prihart Julian; Pakereng, Magdalena A. Ineke
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 2 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No2.pp290-294

Abstract

The changes in various aspects of life have led to the rapid development of information technology, enabling it to encompass all fields of knowledge in the education world and support the teaching and learning process. E-Learning is an integrated system developed through a holistic approach to ensure the effectiveness and interconnectedness of learning. It directly connects learners with relevant learning-teaching resources, facilitating active interaction and in-depth exploration. Flexible-Learning (F-Learn) is a distance learning platform at Satya Wacana Christian University (UKSW) that supports academic activities. The End User Computing Satisfaction (EUCS) method is used as an evaluation tool to measure user satisfaction with the application system by comparing their expectations with their actual user experience. The research aims to measure and evaluate students' satisfaction level with the use of F-Learn as a benchmark for the quality of services provided. Based on the conducted analysis, the content rating score is 3.9775, accuracy is 3.485, format is 3.31, usability is 3.82, and timeliness is 4.115.
ANALISIS DATA PENJUALAN DEALER MOTOR BENELLI BRANCH PEKALONGAN MENGGUNAKAN METODE DECISION TREE Ferryan Nur Setyawan; Magdalena Ariance Ineke Pakereng
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1268

Abstract

This research aims to enhance motorcycle sales strategies at PT. Benelli Anugerah Motor Pusaka Branch Pekalongan by utilizing data mining techniques, specifically the ID3 decision tree algorithm, to analyze and classify sales data. Given the increasing prevalence of motorcycles in Indonesia, this study focuses on identifying key factors that influence motorcycle purchases to optimize inventory and boost sales. Data from December 2022 to January 2024, encompassing 82 sales records, were processed using RapidMiner. The ID3 algorithm calculated entropy and information gain to classify motorcycles based on type, color, price, and transaction method (cash or credit). The results indicate that motorcycle type is the most significant factor, followed by color, price, and payment method. The model achieved an accuracy of 76.47%, with a precision of 87.50% and recall of 70.00%. This classification provides valuable insights for the dealer to manage inventory efficiently and anticipate customer preferences, thereby enhancing sales performance. The findings demonstrate the practical application of decision tree algorithms in transforming extensive data into actionable business intelligence.
Analisis Jumlah Pelanggan dan Tingkat Produksi Listrik di Kota Salatiga Menggunakan Triple Exponential Smoothing Tolanda, Dominus Alfin; 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.v13i2.1926

Abstract

Indonesia, amidst rapid economic growth, confronts challenges in meeting the escalating demand for electrical energy. Salatiga, located in Central Java and part of this dynamic landscape, experiences significant pressure on its electrical infrastructure due to substantial economic and population growth. The Triple Exponential Smoothing (TES) methodology is adopted in this study to estimate future customer numbers and power production levels. The research results indicate that the MAPE (Mean Absolute Percentage Error) for the number of electricity customers is 4.64% < 10%, indicating that the forecasting is very accurate. For the electricity production level, the MAPE is 16.63%, which is considered good for forecasting. These outcomes can be utilized as a framework for making decisions regarding electricity in the city of Salatiga.Kata kunci: Electricity Customers; Electricity Production Levels; Forecasting; Triple Exponential SmoothingAbstrakIndonesia, dengan pertumbuhan ekonomi yang pesat, menghadapi tantangan pemenuhan kebutuhan energi listrik yang terus meningkat. Kota Salatiga, Jawa Tengah, sebagai bagian dari dinamika ini, mengalami tekanan besar pada infrastruktur energi listrik akibat pertumbuhan ekonomi dan populasi yang signifikan. Penerapan metode Triple Exponential Smoothing (TES) untuk menganalisis dan memprediksi jumlah pelanggan serta tingkat produksi listrik di masa depan. Temuan penelitian menyatakan didapatkan bahwa MAPE (Mean Absolute Percentage Error) untuk jumlah pelanggan listrik adalah 4,64% < 10% dimana hasilnya adalah permalan sudah sangat akurat dan untuk tingkat produksi listrik adalah 16,63% dimana hasil ini adalah baik untuk peramalan sehingga hal ini dapat menjadi panduan bagi pengambilan keputusan terkait energi listrik di Kota Salatiga. 
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
Co-Authors Adam Belo Paembonan Afiyatar Asyer Asyer Afril Caesar Muhammad Hanif Agnes Meilosa Callysta Alvira Karisma Putri Alz Danny Wowor Andeka Rocky Tanaamah Angela Putri Larasati Darakay Anggara, Richardus Sapta Antonius Bintang Timur Aziiz, Anriza Kurnia Bramantya, Samuel Dwi Briandika, Jordan Canavaro, Claudio Christin Ngongoloy, Beststinsi Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang E.V. Sihombing, Kristina Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs 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 Harjono, Rhaka Pradena Heinricho Dimas Prasetya Hendrawan Suprayogi Jaya, Deni Supimum Jesajas, Marthen Billy Jessica Christiani Irawan Jonathan Nandika Gustin Juan Andrew Suthendra 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 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 Obidje, Bhilton Mesianus 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 Ririn Ayu Ardila Rizki, Muhammad Bagus Saghoa, Evifania Chayu Salama, Aditya Santoso, Chrys Nathanael Saputra, Denny Agusto Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Susanto, Vincent Exelcio Talahaturuson, Januar C. Tarigan, Aldy Alvharo Tobing, Prihantoro Manahan Tolanda, Dominus Alfin Tuah, Oliver Vincent Virgelius Hendrawan Taralandu Wicaksana, Prasetya Wicaksono, Embang Aulia William Chrisnando Ekasaputra Yoridi, Maria Leonila Yawa Yos Richard Beeh Yos Richard Beeh Yosepinus Trinaldo Yoshua Kenny Nugroho Yuliadi, Yusup