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Siti Monalisa
Jurusan Sistem Informasi Fakultas Sains dan Teknologi UIN Suska Riau
Religion Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Physics Social Sciences Other

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Analisis Sentimen Masyarakat Terhadap Penghapusan Honorer Berdasarkan Opini Dari Twitter Menggunakan Naïve Bayes Classifier Andriyani, Dwi Ratna; Afdal, M; Monalisa, Siti
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3541

Abstract

The removal of honorees is currently a hot topic throughout Indonesia. Sharing how honorary personnel do so that the honorary removal policy is not implemented. Most honorary personnel have served for several years, but the government has issued a circular on the abolition of honorees. Various pros and cons of society regarding the abolition of honorees, such as honorary workers can lose their jobs, not get income, and unemployment is increasing. The purpose of the study is that the government can provide strategies that must be carried out in the event of the removal of honorees, such as appointing all honorees to become Civil Servants or Government Employees with Work Agreements. So the removal of the honoree became one of the trending topics on Twitter social media in 2022. From the results of the analysis conducted, public opinion that uses Twitter is very influential for honorary workers by grouping opinions into three categories, namely positive opinions, neutral opinions, and negative opinions. So the study with text mining used the Naïve Bayes Classifier algorithm with data from Twitter tweets from January 2022 to December 2022 with 2,705 data. The results of this study obtained accuracy with 10 K-fold Cross Validation on K-10, which was 73.01%. And it was found that sentiment polarity against the removal of honorees on positive class sentiment by 10% against agreeing to remove honorees with 285 data tweets, neutral class sentiment by 67% against agreeing and disagreeing with the removal of honorees with 1,801 data tweets, and negative class sentiment by 23% against disagreeing with the removal of honorees with 619 data tweets
Penerapan Algoritma FP-Growth untuk Menentukan Strategi Promosi Berdasarkan Waktu dan Pembelian Produk Wilrose, Anandeanivha; Afdal, M; Monalisa, Siti; Munzir, Medyantiwi Rahmawita
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3577

Abstract

Sales is the main activity in every business. In making business decisions, sales patterns can be used to provide useful information such as strategies for promotion. Wandri Mart is a business engaged in the sale of products or goods commonly referred to as minimarkets in the city of Payakumbuh. In conducting promotional strategies, the owner of Wandri Mart does not know when to do promotions and what promotions are needed in order to increase sales. The purpose of this study is to obtain purchasing patterns related to the time of purchase and the type of goods purchased, so that a more effective promotional strategy can be developed. The method used by researchers is data mining techniques with the FP-Growth algorithm. The data used was taken as much as 5471 sales transaction data for 1 year. The results of this study indicate that the FP-Growth algorithm can be used to determine association rules using a minimum support of 1%, 2%, 3% and a minimum confidence of 10%. Experiments using Minimum Support 1% and Minimum Confidence 10% have the highest lift ratio value and produce more rules compared to other experiments so that it is obtained if on Tuesdays in August, customers buy instant noodles and packaged drinks with 6% and 5% support respectively and 50% and 45% confidence respectively with a lift ratio of 1.75 and 1.59 respectively. The lift ratio means that the rules have high association accuracy, and this also has a positive impact on sales and can be used as useful information for Wandri Mart to increase sales
Pengaruh E-service Quality terhadap Customer Satisfaction dan Customer Loyalty pada Aplikasi Transportasi Online maxim fitriano, ernesto; monalisa, siti; zarnelly, zarnelly; megawati, megawati
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.4023

Abstract

maxim adalah perusahaan transportasi berbasis teknologi yang menggunakan aplikasi online sebagai sarana utama. Sebagai salah satu perusahaan taksi terbesar ketiga di Rusia, maxim telah memperluas operasinya di Indonesia sejak 2018, menyediakan layanan transportasi online termasuk taksi, ojek, dan mobil. Respons terhadap layanan maxim bervariasi, dianggap sebagai solusi untuk kebutuhan transportasi umum terutama di daerah-daerah terpencil. Penelitian dilakukan untuk memberikan dampak Kualitas Layanan Elektronik terhadap Tingkat Kepuasan dan Kesetiaan Pelanggan terhadap aplikasi Maxim yang telah disimpan. Pendekatan penelitian ini bersifat kuantitatif dengan pengambilan sampel secara purposive dari 100 pengguna aplikasi Gojek di Universitas Islam Negeri Sultan Syarif Kasim Riau. Hasil analisis menunjukkan bahwa Kualitas Layanan Elektronik mempunyai pengaruh yang signifikan terhadap Kepuasan Pelanggan, namun tidak berpengaruh secara signifikan terhadap Kesetiaan Pelanggan. Sementara itu, Kepuasan Pelanggan berdampak pada Kesetiaan Pelanggan, dengan Kepuasan Pelanggan sebagai mediator antara Kualitas Layanan Elektronik dan Kesetiaan Pelanggan. . Disarankan penelitian selanjutnya mempertimbangkan variabel dependen lainnya dan memasukkan variabel-variabel yang lebih luas terkait kualitas layanan elektronik untuk pemahaman yang lebih mendalam
Analisis Kualitas Layanan Website Menggunakan Metode Webqual 4.0 Dan Interface Performance Analysis Pada Dinas Xyz MaySarah, M; Saputra, Eki; Monalisa, Siti; Ahsyar, Tengku Khairil
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.v5i3.439

Abstract

Nowadays technological advances have shown very rapid progress. One technology that is developing rapidly is information and communication technology. The current development of information and communication technology cannot be separated from the role of the internet. One of the most important applications of the internet is websites. Basically, achieving perfect website quality will encourage user satisfaction. Good website quality can of course be realized by displaying a website that meets the criteria of the WebQual 4.0 method as a measuring tool to achieve user satisfaction. Based on the background, research will be carried out to determine the level of service quality of the e-Filing website in applying the Webqual 4.0 and IPA methods. The aim of this research is to measure the quality of website services, group the attributes into three Webqual 4.0 variables using the IPA method and provide recommendations for improving the service quality of the XYZ Service Website on the attributes that are prioritized for improvement. This research was conducted at DLHK Pekanbaru for 30 days using interview, observation and documentation methods. The sample in this research was 100 website users. The results of this research are that in the usability quality, there are several menus with errors whose contents do not match the name of the menu. In terms of information quality dimensions, it was found that the website menu was not timely, and the website was rarely updated. In terms of service interaction quality dimensions, there is no comment column facility on the website. In terms of service interaction quality dimensions, there is no comment column facility on the website so that users cannot provide suggestions or opinions.
Analisis Customer Lifetime Value Berdasarkan Produk Menggunakan Metode RFM/P dan Algoritma Fuzzy C-Means Rachmawati, Dyana; Monalisa, Siti; Muttakin, Fitriani
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6320

Abstract

212 Mart Soebrantas is a retail company based on a Sharia Cooperative. 212 Mart Soebrantas segments its customers in terms of monetary value, specifically customers who make many purchases. Currently, 212 Mart does not consider recency and frequency, because customers who make transactions of 50 thousand rupiahs receive 1 point. If the points accumulate to 200, they exchange them for a shopping voucher worth 50 thousand rupiah to shop at 212 Mart. 212 Mart Soebrantas needs to understand Customer Lifetime Value (CLV) to determine the customer categories worth keeping and profitable for 212 Mart. Therefore, 212 Mart needs to understand and know its customer segments based on product-based transactions or RFM/P. This research analyzes Customer Lifetime Value Based on Products Using the RFM/P Method and Fuzzy C-Means Algorithm at 212 Mart Soebrantas to help 212 Mart identify customer segment characteristics, and customer loyalty per product category, and provide strategic recommendations. The data used is customer transaction data from January 2023 to September 2023. The study uses products from 10 categories with 6 attributes: Member Code, Stock Name, Transaction Date, Quantity, Basic Price, and Department. The research shows that the best cluster is found in the Basic Material category with a DBI value of 0.4990, and it is a Superstar Customer based on Customer Portfolio Analysis (CPA).
Analisis Sentimen Komentar Perplexity AI di X Tentang Pendidikan Menggunakan Support Vector Machine Ardiansah, Yoga; Monalisa, Siti; Muttakin, Fitriani
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6396

Abstract

Chatbots with Artificial Intelligence are increasingly popular in everyday life. Due to its ability to reason and convey information expressively, Artificial Intelligence (AI) using Natural Language Processing (NLP) models can communicate like humans. Users find one of Perplexity's AI chatbots interesting because it can pinpoint sources of information. As time goes by and the number of Perplexity users increases, sentiment analysis is used to measure user happiness. This sentiment analysis serves as the data source for this research, helping understand how users react to social media X (Twitter). The Support Vector Machines (SVM) method was used in this study, where SVM maximises the distance (margin) between data groups to determine the ideal hyperplane. According to the survey, 90.11% of respondents expressed positive sentiments, 5.30% expressed negative opinions, and 4.69% expressed neutral sentiments. Using a ratio of 80% training data and 20% test data, the f1 score reached 96%, with accuracy and precision of 92% each.
Training on Utililizing Google Family Link for Monitoring Children’s Mobile Phone Usage : Pelatihan Pemanfaatan Google Family Link Untuk Monitoring Pemakaian Ponsel Anak Amillia, Fitri; Muttakin, Fitriani; Monalisa, Siti; Sarbaini, Sarbaini
CONSEN: Indonesian Journal of Community Services and Engagement Vol. 4 No. 2 (2024): Consen: Indonesian Journal of Community Services and Engagement
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/consen.v4i2.1715

Abstract

Perkembangan teknlogi pada generasi millenial semakin berdampak signifikan. Anak-anak sering menggunakan ponsel untuk bermain game dan menonton konten internet tanpa pengawasan orang tua. Orang tua khawatir anak terpapar konten negatif yang dapat memengaruhi perilaku karena orang tua kekurangan waktu dan pengetahuan. Oleh karena itu, orang tua dan guru pada lembaga Pendidikan Anak Usia Dini dapat dilatih mengenai pengawasan pengasuhan digital. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk membantu pemahaman orang tua dan guru mengenai mengawasi penggunaan ponsel anak dengan aplikasi Google Family Link dan meningkatkan keterampilannya di wilayah Kulim, Kota Pekanbaru. Para peserta berpartisipasi aktif saat mengikuti pelatihan sehingga pelatihan berjalan lancar sesuai rencana. Peserta menunjukkan respons yang positif, antusiasme, dan dorongan untuk mengikuti kegiatan melalui pendekatan pelatihan secara praktek dan sharing informasi. Dengan demikian diharapkan kegiatan pengabdian ini mampu menciptakan lingkungan digital yang lebih aman dan mendukung bagi perkembangan fisik dan psikis anak-anak menjadi lebih baik dan sehat.
Analisis Business Model Canvas dengan Pendekatan Blue Ocean Strategy pada Perusahaan Penerbitan Muttakin, Fitriani; Monalisa, Siti; Saputra, Eki
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Perkembangan era Industri 4.0 semakin meningkatkan persaingan bisnis. Proses membangun sebuah bisnis membutuhkan konsep, model bisnis dan strategi yang tepat bagi perusahaan, sehingga dapat menjadi tolak ukur dalam pengembangannya menjadi bisnis yang dinamis. Model bisnis yang dibutuhkan dipengaruhi beberapa faktor, antara lain  pelanggan, biaya transaksi, dan juga persaingan. Business Model Canvas merupakan salah satu model bisnis berbentuk skema sembilan blok yang dapat digunakan untuk mengkonsep bisnis menjadi lebih sederhana dalam mendeskripsikan proses bisnis perusahaan, agar dapat lebih mempermudah dan bisa dimanfaatkan dalam sebuah perusahaan atau organisasi. Perusahaan yang bergerak sebagai pemasok alat kebutuhan Pendidikan dapat menggunakan strategi sembilan blok ini dengan penguatan Blue Ocean Strategy, sehingga menghasilkan strategi yang menonjolkan kelebihan Perusahaan  untuk menguasai produksi dan pemasaran serta penguasaan pasar karena para pesaing belum memasuki daerah yang perusahaan kuasai saat ini. kedua konsep ini dapat diintegrasikan untuk menghasilkan keunggulan kompetitif yang kuat bagi perusahaan. Kata kunci: Proses Bisnis, Business Model Canvas, Blue Ocean Strategy, Pemasaran
Klasterisasi Customer Lifetime Value dengan Model LRFM menggunakan Algoritma K-Means monalisa, Siti
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 2: April 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.298 KB) | DOI: 10.25126/jtiik.201852690

Abstract

Penelitian ini bertujuan menghasilkan nilai Customer Lifetime Value (CLV) pada setiap segmen pelanggan dengan menggunakan algoritma K-means dalam melakukan klusterisasi pelanggan. Pembentukan kluster menggunakan metode validasi Dunn Index dan Silhoutte Coefficient dengan nilai 0.84 dan 0.54. Kluster yang dihasilkan berjumlah 3 dengan nilai yang tertinggi pada masing-masing metode validasi. Untuk menghasilkan nilai CLV dengan kluster yang terbaik maka nilai normalisasi LRFM setiap kluster akan dikalikan dengan nilai bobot LRFM dan dijumlahkan. Rangking CLV tertinggi akan dihasilkan dari nilai CLV yang terbesar diantara 3 kluster tersebut. Rangking CLV tertinggi pada penelitian ini berada pada kluster ke 2 dengan simbol LRFM L↑R↓F↑M↑ yang berisi segmen pelanggan yang memiliki nilai loyalitas yang tinggi.
Rancang Bangun Electronic Customer Relationship Management pada Sistem Informasi Hotel dengan Framework of Dynamic CRM Monalisa, Siti; Bacin, Jukhri Syahputra
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 1: Februari 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

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Abstract

Hermes One Hotel Subulussalam merupakan hotel pertama di Subulussalam dengan klasifikasi bintang tiga di Kota Subulussalam Provinsi Aceh. Hotel ini masih menggunakan sistem konvensional dalam memberikan layanan pelanggan sehingga dikhawatirkan akan tertinggal dikarenakan banyaknya hotel-hotel baru yang telah menggunakan internet sebagai komunikasi antara pelanggan dan perhotelan. Internet memberikan manfaat sebagai interaksi sosial yang mampu mengantarkan banyak kemudahan komunikasi maupun informasi. Teknologi tersebut dinamakan dengan e-CRM dengan memadukan sebuah framework yang disebut Framework of Dynamic CRM. Framework ini terdiri dari tiga Fase yaitu acquire, retention  dan expantion. Pada tahap akuisisi ini perusahaan akan mendapatkan data pelanggan baru yang dibedakan menjadi dua yaitu  pelanggan perorangan dan perlanggan perusahaan. Pelanggan perusahaan pada tahap akuisisi ini akan mendapatkan kupon dengan batas kupon yang tersedia. Sedangkan pada tahap retensi, pelanggan perorangan mendapat diskon 5% dan pelanggan perusahaan mendapatkan free service jika telah melakukan transaksi pemesanan kamar lebih dari lima kali.AbstractHermes One Hotel Subulussalam is classification of three star hotel in Subulussalam City, Aceh Province. This hotel have the conventional system to customer service so will miss technology. the many new hotels that have used the internet as communication between customers and hotels. The internet provides benefits as a social interaction that can deliver a lot of ease of communication and information. The technology is called e-CRM by integrating a framework called the Framework of Dynamic CRM. This framework consists of three phases, namely acquire, retention and expansion.  The acquisition stage, the company will get new customer from individual and company customers. Company customers at the acquisition stage will get a coupon with the available coupon limit. While at the retention stage, individual customers get a 5% discount and company customers get a free service if they have made a room booking transaction more than five times.
Co-Authors Afilla, Dini Ahsyar, Tengku Khairil Ananda, Dea Putri Andriyani, Dwi Ratna Angraini Angraini Ardiansah, Yoga Bacin, Jukhri Syahputra Eki Saputra Fitri Amillia fitriano, ernesto Hartati, Misra M. Afdal MaySarah, M Megawati - Mona Fronita, Mona Muhammad Fadli Munzir, Medyantiwi Rahmawita Muttakin, Fitriani Nurahmah, Novia Rachmawati, Dyana Sarbaini Sarbaini Tengku Nurainun Wilrose, Anandeanivha Wiranti, Ririn Zarnelly Zarnelly