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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Christina Juliane
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Computer Science & IT Electrical & Electronics Engineering Engineering Other

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Menjaga Motivasi Belajar pada Electronic Learning dengan Pendekatan Komputasi (Kajian Awal) Christina Juliane; Iping Supriana; Arry A. Arman; Husni S. Sastramihardja
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2015
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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

Abstract

Abstract— Motivasi adalah sebuah kekuatan yang dapatmendorong perilaku seseorang untuk melakukan atau tidakmelakukan aktivitas tertentu. Keberhasilan proses electroniclearning (e-learning) pun dipengaruhi oleh faktor besar atautidaknya motivasi yang dimiliki oleh peserta belajar. Olehkarenanya, hal ini menjadi sebuah tantangan untuk membangunlingkungan belajar yang kondusif dengan cara menjaga motivasibelajar secara otomasi dengan menggunakan pendekatankomputasi. Kerangka umum penelitian menggunakanpendekatan paradigma design science dalam Information SystemResearch Framework dari Hevner dkk, sehingga penelitian inimenghasilkan model awal bagaimana menjaga motivasi belajarpada e-learning dengan menggunakan pendekatan komputasi.Keywords— belajar, e-learning, model, motivasi
DIGITAL TEACHING LEARNING FOR DIGITAL NATIVE; TANTANGAN DAN PELUANG Christina Juliane; Arry A. Arman; Husni S. Sastramihardja; Iping Supriana
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 3, No 2 (2017): Agustus
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v3i2.4273

Abstract

Gap generation antara pembelajar dan pengajar mempengaruhi tingkat keberhasilan Proses Belajar dan Mengajar (PBM) berbasis teknologi (digital teaching and learning). Tujuan efektivitas dan efisiensi dari penggunaan Teknologi Informasi dan Komunikasi (TIK) pada akhirnya hanya menjadi jargon yang pembuktiannya masih memerlukan studi lebih lanjut. Hal ini terjadi karena keberadaan TIK masih terbatas pada pemenuhan life style bagi generasi digital saat ini, tanpa value dan esensi dari keberadaan dan pemanfaatan TIK itu sendiri dalam PBM. Oleh karenanya diperlukan sebuah penelitian untuk mengidentifikasi seperti apa fakta real yang terjadi dilapangan (Pulau Jawa-Indonesia) terkait pemanfaatan teknologi dalam PBM dengan adanya gap generation antara pembelajar dan pengajar. Penelitian dilakukan untuk mengidentifikasi tantangan dan peluang yang hadir pada proses digital teaching and learning untuk generasi digital saat ini. Area sampel penelitian dilakukan di Pulau Jawa dengan total 519 orang yang potensial dan relevan menjadi responden dan diuji dengan menggunakan kaidah ilmiah yang empiris. Tujuan dari penelitian yang dilakukan adalah untuk memberikan pandangan tentang apa dan bagaimana seharusnya aktivitas digital teaching and learning dilakukan untuk generasi digital saat ini, terutama generasi digital di Indonesia.
Finding Customer Patterns Using FP-Growth Algorithm for Product Design Layout Decision Support Erna Haerani; Christina Juliane
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (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 | Full PDF (1706.373 KB) | DOI: 10.32520/stmsi.v11i2.1762

Abstract

The transaction database contains a very large and irregular dataset that requires another mechanism to read it, even though there is a lot of new knowledge that can be revealed, including associations or relationships between goods or products that are often purchased by customers. The new finding of the relationship between these variables is usually called association rule mining. The algorithm that is developing and often used is frequent pattern-growth (FP-Growth). The problem of very many transaction databases also occurred in Mr. A. So, in this research, we will look for customer patterns using the FP-Growth algorithm. The algorithm aims to find the maximum frequent itemset. The frequent itemset will be generated into associative rules so that it becomes valuable new knowledge. This knowledge can be used as a reference and consideration in making decisions. The FP-Growth algorithm will be implemented using the rapidminer tools on the transaction data of Mr.A's goods sales. The pattern of rules that will be searched for is based on data on sales of goods transactions. The results of the study obtained six association rules with five conclusions being the gift category. So that the suggestion for decision making is to lay out items close to and around the gift category in order to improve marketing and service strategies in order to attract the attention and interest of pointers in making purchases of goods.
Implementasi Manajemen Pengetahuan dalam Sistem Layanan Sertifikasi Profesi (Studi Kasus SMKN 1 Garut) Andriansyah Maulana; Christina Juliane
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): 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.v9i3.2343

Abstract

Professional certification body (LSP) P1 SMKN 1 Garut as the executor of competency test activities in SMKN 1 Garut and in SMKN network LSP P1 SMKN 1 Garut LSP. LSP P1 SMKN 1 Garut requires a knowledge management model that will be implemented during the skill competency certification process. This study aims to design a knowledge management model from knowledge capture to knowledge application which is expected to help improve the effective and efficient performance of the professional certification process at LSP P1 SMKN 1 Garut. A knowledge management model can increase the collaboration of knowledge owned by parties involved in the professional certification process, which is expected to continue to develop knowledge and provide an effective and efficient performance impact on the professional certification process. With the design of a knowledge management model in the certification system at LSP P1 SMKN 1 Garut, it will make it easier to store knowledge because a knowledge management system is a virtual repository for relevant information which is very important for tasks carried out by parties related to the professional certification process in Indonesia. LSP P1 SMKN 1 Garut.
PENERAPAN DATA MINING DENGAN METODE KLASIFIKASI MENGGUNAKAN ALGORITMA C4.5 iyan sunandar sunandar; Fauji Faisal Nugraha; Christina Juliane
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): 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.v9i4.2399

Abstract

The problem of settlements is still the main problem faced by some regions. The unorganized settlement area can create a livable, productive and sustainable residential environment. In addition, the non-fulfillment of Minimum Service Standards (SPM) in several residential areas causes the environmental conditions of the settlements to be inadequate and below the minimum service standards such as low quality of drinking water, drainage, waste, garbage and other problems such as overcrowding and irregularities. buildings which further have implications for increasing fire hazards as well as social impacts such as crime rates which tend to increase from time to time. In this study, the authors use the Data Mining classification method, namely the C4.5 Algorithm to classify activities in obtaining activities with a Very Priority, Priority and Not Priority Scale. The sample of data sources was taken from investment data for the KOTAKU Program activities in Kuningan Regency. From the test results obtained for the Accuracy Algorithm C4.5 value is 95.98%. Thus the C4.5 algorithm is the best algorithm and technique for classifying investment activity data in obtaining aid funds sourced from the government.
Analisis Kelayakan Calon Pengawas Sekolah Dengan Menggunakan Metode Data Mining Decision Tree Irma Rahmianti; Eva Agustina Suparti; Christina Juliane
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.v10i1.2426

Abstract

School supervisors have an important role in the world of education whose job is to improve the quality of education. Qualifications of competent school supervisors are needed to master academic performance and management of educational institutions. In the implementation of the selection of prospective school supervisors, each participant must meet the requirements of the level of education, class, age, years of service of teachers, and educator certificates. To determine graduation, certain conditions are prepared that are used as the basis for the assessment. The C4.5 algorithm used in the Decision Tree data mining method of data classification that produces one decision tree. The results of the dataset test using the C4.5 algorithm to determine the feasibility of prospective school supervisors using Rapidminer tools have good values, the accuracy calculation is 95.07%, the precision calculation is 100%, and the recall calculation is 82.28 %. The resulting knowledge is used as a reference in the eligibility of prospective school supervisors.
Linear Regression Analysis To Measure The Correlation Between Poverty Rate And Stunting Rate Suhaerudin, Suhaerudin; Ade Sumardi; Christina juliane
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13007

Abstract

Children's stunting or growth disorders are becoming major global health issues, particularly in impoverished nations. It is characterized by short height for children and affects future economic potential, health, and cognitive development over the long run. Stunting has a detrimental effect on cognitive growth, schooling, and future economic production in addition to being a sign of dietary deficiencies. This study aims to analyze the relationship between poverty levels and stunting rates. Using secondary data from health surveys and population censuses, this study analyzed the rate of stunting in children aged 0-5 years and correlated it with poverty indicators at the household and community levels. Correlation analysis methods were used to assess the relationship between these variables, while controlling for confounding variables such as parental education, access to health services, and nutrition. The multiple linear regression test results prove that the incidence of stunting is influenced by the poor population variable by 34.1%, so there are other factors that influence it by 64.9%. The results of the analysis show that there is a significant positive correlation between the poverty rate and the prevalence of stunting. This finding underscores the importance of cooperation between the health and economic sectors in efforts to reduce stunting and poverty.
Co-Authors Ade Sumardi Andriansyah Maulana Arry A. Arman Erna Haerani Eva Agustina Suparti Fauji Faisal Nugraha Husni S. Sastramihardja Iping Supriana Irma Rahmianti iyan sunandar sunandar Suhaerudin, Suhaerudin