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

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Analisis Tingkat Kepuasan Pengguna Layanan Jaringan Indihome Menggunakan Metode Importance Performance Analisysis (IPA) Angela Putri Larasati Darakay; Magdalena A. Ineke Pakereng
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5052

Abstract

User satisfaction with the services provided has a very important meaning for a company or service provider that aims to benefit the company or service provider itself. The research was conducted on the Analysis of the Satisfaction Level of Indihome Service Use (Wifi) using the Importance Performance Analysis (IPA) method. In the modern era, the internet is growing rapidly from time to time which has resulted in more and more internet service providers. This is the reason for internet service providers to pay attention to the level of service quality and the level of customer satisfaction. The results showed that the level of suitability for Indihome services ranged from 77% - 107%, which means that the performance provided to customers is quite good.
Preferensi Terhadap Marketplace Menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus: Shopee dan Tokopedia) Ellen Arnetta; Magdalena A. Ineke Pakereng
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.660

Abstract

At this time technology has been growing, one of which is the development in the business world from tradional to digital. E-commerce as the main of contributor in Indonesia digital economy. Tokopedia and Shopee are two giants that dominate the Indonesia market. The researcher are interested in conducting research to determine customer interest and making choices to shop online. The method used in this research is SAW (Simple Additive Weighting) method and distributes questionnaires to marketplace users. The results obtained from Shopee's research have a preference value of 0.98 and Tokopedia's 0.91. These results show that the majority prefer to shop online using Shopee instead of Tokopedia.
Sistem Informasi Booking Wedding Organizer Berbasis Website pada Max Entertaiment Kudus Sindhi Diah Ayu Palupi; Magdalena A. Ineke Pakereng
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.671

Abstract

Wedding organizers are services that can assist in preparing and carrying out wedding events. Max Entertainment is one of the providers of wedding organizer packages in Kudus whose services are still done manually. The problem that often arises is the lack of information that can be a guide for making decisions on wedding receptions and planning costs (budget) that must be incurred by the bride and groom. Therefore, the author designed an information on ordering wedding organizer services which aims to make it easier for the bride and groom to make the process of ordering wedding organizer services and become a promotional event for Max Entertainment Kudus itself. The method applied in this research is the UML method which is useful as a guide in designing this system and Black Box Testing as a method of testing the system that has been built. The expected result in this research is the creation of a website-based wedding organizer information system so that it can be accessed by prospective wedding organizer customers to place orders.
Prediksi Jumlah Produksi Terhadap Kebutuhan Pasar di PT. Morich Indo Fashion Menggunakan Metode Single Exponential Smoothing Heinricho Dimas Prasetya; Magdalena A. Ineke Pakereng
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.672

Abstract

PT. Morich Indofashion adalah perusahaan yang bergerak di bidang tekstil oleh karena itu perusahaan dituntut untuk mengetahui permintaan pasar yang sering berubah–ubah. Penelitian ini bertujuan untuk mengetahui hasil peramalan jumlah produksi yang nantinya data hasil peramalan akan mempengaruhi ketersediaan bahan baku produksi. Single Exponential Smoothing merupakan metode peramalan yang digunakan untuk meramalkan jumlah produksi pada  masa yang akan datang dengan cara melakukan proses pemulusan (smoothing), yang akan menghasilkan data ramalan yang lebih kecil hasilnya. Hasil perhitungan mengggunakan rumus MAPE (Mean Absolut Percentage Error) untuk tingkat akurasi dengan nilai alpha 0,9 yang memperoleh peramalan produksi pada bulan Maret 2022 sebanyak 785029 dengan nilai persentase  terkecil yaitu 39%. Berdasarkan data tersebut, pihak perusahaan dapat menggunakan acuan peramalan tersebut untuk melakukan  poduksi pada bulan maret 2022 dalam mempersiapkan kebutuhan jumlah bahan baku produksi di gudang dapat di persiapkan dengan baik. Hasil penelitian menunjukkan bahwa prediksi jumlah produksi tiap bulannya 577856 produksi dan penghematan biaya yang dikeluarkan dalam membeli bahan produksi dapat di optimalkan.
Peramalan Trend Pendapatan di Toko Online XYZ Menggunakan Single Moving Average Jonathan Nandika Gustin; Magdalena A. Ineke Pakereng
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.683

Abstract

The Utilization of an online shopping platform as a place to sell products produces sales transaction data. This makes it a reference to predict income trends for nine months, by taking a case study on the Serenade Home Décor online store. The method used to predict is Single Moving Average. Single Moving Average is a technic of calculating the average of a number from the latest actual value, updated as new available values, and used to make predictions in subsequent periods. Results of the study using Moving Average are 3, 5, and 9, which can produce an income value of Rp. 3,103,716.00, and results in an accuracy value of 66.74382%, and the MAPE value obtained is quite good at 33.85618%, which means that the method used is still quite good. It would be better if use more than one method, which will be able to make comparisons of the prediction, result, and accuracy.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN DALAM MENYELEKSI PENERIMAAN SISWA BARU MENGGUNAKAN METODE TOPSIS (STUDI KASUS: SMA NEGERI 02 SENDAWAR) Yosepinus Trinaldo; Magdalena A. Ineke Pakereng
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (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.v10i1.2757

Abstract

This research aims to design a decision support system that can help schools, especially SMAN 02 Sendawar in accepting new students. The method that will be used to deal with the problems that occur is the TOPSIS method (Technique For Others Preference By Similitary To Ideal Solution). This research was conducted to get the best students in the selection, based on predetermined criteria. The criteria used in this study were test results, report cards, distance, and completeness of the files. The results of the study will provide a list of students who have the highest preference scores, and based on the highest preference scores, students will be accepted by the school.
Analisis Sentimen Media Sosial Twitter Terhadap Tragedi Kanjuruhan Virgelius Hendrawan Taralandu; Magdalena A. Ineke Pakereng
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 1: April 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i1.1206

Abstract

This study aims to analyze public sentiment towards the Kanjuruhan tragedy using the Naive Bayes method. Naive Bayes is a machine learning method that can classify large amounts of data and can automatically label sentiment data from test data or training data based on data models that have been studied by Naive Bayes itself. With this machine learning has obtained results from its own learning. Based on the visualization results, the evaluation values obtained were: Negative prediction (sentiment) = 1,404 while Positive prediction = 1,129, with an accuracy evaluation of 98.20%. For this reason, it can be concluded that from this tweet, more Twitter users have negative sentiments about the Kanjuruhan tragedy. The number of negative sentiments related to this tragedy can be used as a benchmark or reference for those in charge of these activities to be able to find out the public's opinion on the activities that have been held, so that it becomes a lesson in the future in organizing similar activities.Keywords: Public Sentiment; Twitter Media; Naive Bayes; Visualization AbstrakPenelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap tragedi Kanjuruhan menggunakan metode Naive bayes. Naive bayes adalah metode pembelajaran mesin (machine learning) yang dapat melakukan klasifikasi dalam jumlah data yang besar dan dapat melakukan labelling otomatis pada sebuah data sentimen dari data uji atau data training berdasarkan model data yang sudah dipelajari oleh Naive bayes itu sendiri. Dengan ini machine learning telah memperoleh hasil dari pembelajaran nya sendiri. Berdasarkan hasil visualisasi nilai evaluasi yang diperoleh adalah: prediction (sentimen) Negatif= 1.404 sedangkan predicition (sentimen) Positif= 1.129, dengan hasil evalusasi accuracy mencapai 98.20%. Untuk itu dapat disimpulkan bahwa dari tweet ini lebih banyak pengguna twitter yang bersentimen negatif terhadap tragedi Kanjuruhan. Banyaknya sentimen negatif terkait tragedi ini dapat dijadikan sebagai tolok ukur atau acuan bagi penanggung jawab kegiatan tersebut untuk dapat mengetahui pendapat masyarakat terhadap kegiatan yang telah diselenggarakan, agar menjadi pembelajaran di masa mendatang dalam menyelenggarakan kegiatan yang serupa.
Perancangan Aplikasi E-Commerce FDW Store menggunakan Metode Lean UX Felik Darmawan Wijaya; Magdalena Ariance Ineke Pakereng
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.817

Abstract

FDW Store is an online store that sells services to meet the needs of users' games and lives. FDW Store sells services such as credit for all operators, Online Game Top Up, Payment Point Online Bank  (PPOB). The problem that occurs in FDW Store business owners is that they do not have a proper FDW Store application display design and have been tested if they want to be built into an application that is ready to use. Based on these problems, the solution is to design the UI/UX of the mobile-based FDW Store E-Commerce Application using the Lean UX method because this method has the advantage of a fast success rate and also focuses on understanding the experience of the product to be made. This study resulted in the design of the User Interface (UI) and User Experience (UX) for the FDW Store E-Commerce application which is useful as a reference for business owners in building an application.
FORECASTING DRUG SALES AFTER THE COVID-19 PANDEMIC IN PT. GRATIA HUSADA FARMA USING ARIMA METHOD Radithya Airlangga; Magdalena A. Ineke Pakereng
Jurnal Ekonomi Vol. 12 No. 02 (2023): Jurnal Ekonomi, Perode April - Juni 2023
Publisher : SEAN Institute

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

Abstract

Forecasting is the initial stage in production planning and serves as a foundation for subsequent production activities. The advent of the Covid-19 pandemic in Indonesia began in 2020, causing unstable sales. The ARIMA or Autoregressive Integrated Moving Average method is a medium-term forecasting method that generates relatively good prediction values compared to other methods. PT Gratia Husada Farma is a company active in the pharmaceutical field in Central Java. The sales data possessed by PT GHF is not yet optimally utilized and only serves as historical records. Through the obtained data, a sales forecasting analysis is conducted using the ARIMA method with parameters p, d, q of 1, 0, 1. Evaluation of the method using the RMSE formula results in a value of 2.229 (0.02229). This shows that the ARIMA method analysis has an acceptable error value, less than one of the critical values or alpha of 0.05.
Analisis Pengaruh Jumlah Pengangguran Terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linier (Studi Kasus: Kota Salatiga) Mei Irawati; Magdalena A. Ineke Pakereng
Jurnal EMT KITA Vol 7 No 2 (2023): APRIL 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v7i2.1013

Abstract

Poverty continues to be a major global problem, especially in developing countries including Indonesia, the low level of income earned by the community can hinder the welfare and civilization of society to ensure its survival. The purpose of this study was to analyze the effect of the number of unemployed on the amount of poverty based on time series data. The data was obtained from the Central Statistics Agency (BPS) of Salatiga City. This becomes a reference for analyzing the effects of unemployment and poverty in the last 5 years. The method used in this study is the Linear Regression Method. Linear regression is a method to determine how close the relationship or influence is between two variables (independent variables and dependent variables). After conducting research, it showed that the results of the analysis of the effect of the number of unemployed on the number of poverties in Salatiga City using the linear regression method obtained the following regression equation: Y = 8.678123 + 0.0001484 X. Where the variable number of unemployed (X) has a positive effect on the variable the number of poverty (Y) in Salatiga City (b = 0.0001484) but the value of b is almost close to a negative value, therefore it is possible that the number of unemployed can affect the amount of poverty
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 Canavaro, Claudio Chrys Nathanael Santoso Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs Falensky, Lee Valdho 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 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 Letuna, Noliyanti Ria Mei Irawati Michael, Sean Mochammad Iqbal Tawakal Monica Dias Febriyanti 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 Prihantoro Manahan Tobing Puspitasari, Pipit Putra, Arios Wardana Putra, Oktavian Alle Mahenswa Radithya Airlangga Ramos Somya Ririn Ayu Ardila Rizki, Muhammad Bagus Salama, Aditya Saputra, Denny Agusto Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Susanto, Vincent Exelcio Talahaturuson, Januar C. Tarigan, Aldy Alvharo 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