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Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering Wibisono, Christian; Haryadi, Lucky Surya; Widyaya, Juan Elisha; Liliawati, Swat Lie
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3036

Abstract

Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the system and decrease “noise” value. Model will be evaluated using MAE, RMSE, and FCP metrics. The results of recommendation model are MAE = 1.2752, RMSE = 1.4882, dan FCP = 0.4947.
Manajemen Risiko Pemasangan Wifi pada Perusahaan Telekomunikasi dengan Framework Risk Information Technology Mustamu, Loudry Palmarums; Ayub, Mewati; Liliawati, Swat Lie
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 1 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i1.4491

Abstract

 In this research, an analysis of Wi-Fi products was carried out using Risk Framework, Information Technology (IT) Domain Risk Response, and decision tree method to determine decision making at the Telecommunication companies which occurs from January to September 2021. The Wi-Fi installation process was carried out to assess how far Telecommunication company had responded to problems related to IT risks. This analysis is carried out to help the Telecommunication company create a framework to respond to IT risks that have occurred, such as human risk errors, system disturbances, interference fromoutside parties, inventory control, as well as responding to problems related to IT risks such as problems related to possible risks to the system used. The goal is to provide recommendations to the company in accordance with the IT Risk Framework. Thedata sources are derived from a direct interview with the manager of the Telecommunication company and customer service data. The analysis refers to the process of installing Wi-Fi for the customers. Customer service data is analyzed using the Decision Tree in Weka. The results of the analysis are expected to support the Telecommunication company to be better inresponding and reacting to IT risk and incidents that have occurred, those that may occur at telecommunication installation.
Analisis Deret Waktu dari Produk yang Terjual Menggunakan Beberapa Teknik Populer Laras Ervintyana; Andreas Widjaja; Swat Lie Liliawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 1 (2023): JuTISI (in progress)
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i1.5933

Abstract

Sales is the most important component in and industrial company. This is because, income comes into the company if sales is running, therefore it is important to do an analysis of the products sold so that the company can prepare earlier before the demand for these products come, in order to produce better income. This study uses ARIMA, SVR, FFT and Prophet to forecast and with MAPE and RMSPE as the measure level of accuracy, also to see if there is any seasonality in the product that is being analyzed, seasonal_decompose is used. The results of the analysis show that ARIMA and Prophet are the best forecasting methods, this is because both methods have the lowest MAPE and RMSPE value. After being analyzed using seasonal_decompose, it was found that all of the products studied have a pattern that repeats itself at a certain time every quarter. For more further analysis, it was done by head-to-head comparison, where 20 product samples of each category was used. By this analysis it was clear that products in Category 1 are better to use ARIMA and products in Category 2 are better to use Prophet.
PELATIHAN COMPUTATIONAL THINKING UNTUK GURU SDK 6 BPK PENABUR BANDUNG MELALUI BEBRAS TASK DAN AKTIVITAS UNPLUGGED Mewati Ayub; Hendra Bunyamin; Oscar Karnalim; Robby Tan; Maresha Caroline Wijanto; Doro Edi; Julianti Kasih; Andreas Widjaja; Adelia; Meliana Christianti; Wenny Franciska Senjaya; Swat Lie Liliawati; Rossevine Artha Nathasya
Jurnal Abdimas Ilmiah Citra Bakti Vol. 5 No. 3 (2024)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v5i3.3799

Abstract

Konsep computational thinking (CT) diperlukan dalam dunia digital saat ini agar setiap orang dapat belajar dan bekerja secara cerdas. Untuk membangun kembali interaksi antar guru dan siswa yang terkendala pada saat pandemi Covid 19, maka interaksi yang efektif antar guru dan siswa dalam pembelajaran pasca pandemi dapat dilakukan dengan menerapkan CT dalam pembelajaran.  Pelatihan CT untuk guru-guru SDK 6 BPK Penabur dilakukan dengan tujuan agar setiap guru dapat menerapkan konsep CT dan aktivitas unplugged dalam pembelajaran yang bersifat interaktif. Pelatihan guru yang dilaksanakan secara luring pada 15 Maret 2024 dan 22 Maret 2024, diikuti oleh 30 orang peserta. Setelah materi konsep CT, Bebras task, dan aktivitas unplugged disampaikan, guru diberi tugas kelompok untuk membuat rencana penerapan CT dalam mata pelajaran serta membuat rencana aktivitas unplugged untuk membantu siswa dalam menerapkan CT dalam persoalan sehari-hari. Hasil dari tugas kelompok yang dibuat peserta menunjukkan nilai rata-rata sangat baik dalam penerapan CT dan aktivitas unplugged. Sebagian besar peserta berpendapat penerapan CT sangat bermanfaat untuk diterapkan dalam pembelajaran di tingkat sekolah dasar untuk melatih anak berpikir kritis dan kreatif dalam memecahkan masalah di kehidupan sehari-hari.