JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi最新文献

Decision Support System for Motorcycle Credit Sales Using the Multi-Factor Evaluation Process Method at CV. Lestari Motorindo, Palembang Branch CV.Lestari Motorindo, Palembang 分公司使用多因素评估流程法的摩托车信贷销售决策支持系统Lestari Motorindo, Palembang 分公司

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2024-07-08 DOI: 10.32524/jusitik.v7i2.1172

Nanda Diane Salsabila, Nining Ariati, Dhamayanti Dhamayanti

引用次数: 0

Integrasi TOPSIS dalam Evaluasi dan Peringkat Calon Legislatif 立法机构候选人评估和排名中的 TOPSIS 整合

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2024-07-08 DOI: 10.32524/jusitik.v7i2.1157

Soetam Rizky Wicaksono

{"title":"Integrasi TOPSIS dalam Evaluasi dan Peringkat Calon Legislatif","authors":"Soetam Rizky Wicaksono","doi":"10.32524/jusitik.v7i2.1157","DOIUrl":"https://doi.org/10.32524/jusitik.v7i2.1157","url":null,"abstract":"Di era pemilihan yang dinamis akhir-akhir ini, pemilihan kandidat untuk berpolitik sangat bergantung pada penilaian partai atau tokoh partai terhadap bakal calon legislatif. Metode TOPSIS dapat memberikan pemeringkatan yang dinamis dari yang tertinggi hingga terendah, yang menjadi salah satu evaluasi peringkat yang penting. Tidak hanya itu, metode ini juga dapat membantu dalam pemilihan alternatif terbaik dari sejumlah alternatif, dengan tidak hanya mempertimbangkan kelebihan tetapi juga kekurangan dari setiap alternatif. Dengan demikian, penelitian ini diharapkan dapat memberikan kontribusi dalam melakukan evaluasi yang lebih terperinci terhadap calon legislatif secara dinamis dan komprehensif. Metode penelitian ini melibatkan beberapa langkah utama: pembentukan matriks keputusan awal berdasarkan kriteria tertentu, normalisasi data, penimbangan matriks normalisasi, penentuan solusi ideal positif dan negatif, dan perhitungan jarak terhadap solusi ideal. Kriteria yang dipilih termasuk Rekam Jejak, Visi dan Misi, Metode Kampanye, dan Histori Caleg, dengan bobot yang ditetapkan berdasarkan tingkat kepentingannya. Rekam Jejak dan Visi dan Misi dipilih karena mencerminkan kualitas dan kemampuan kepemimpinan caleg, sedangkan Metode Kampanye dan Histori Caleg memberikan indikasi mengenai etika dan integritas caleg. Hasil penelitian menunjukkan bahwa TOPSIS efektif dalam memberikan peringkat caleg berdasarkan kriteria yang telah ditentukan. Caleg dengan kombinasi kinerja terbaik di berbagai kriteria menduduki peringkat teratas, sementara caleg dengan aspek negatif yang dominan menempati posisi lebih rendah. Hasil ini menegaskan pentingnya penilaian holistik dan berimbang dalam pemilihan caleg, dengan mempertimbangkan berbagai faktor yang relevan. Kesimpulan penelitian ini menunjukkan bahwa penerapan TOPSIS dalam konteks pemilihan caleg menawarkan metode yang transparan dan akuntabel untuk mengevaluasi kandidat, mendukung proses demokrasi dengan menyediakan informasi yang objektif dan berdasarkan data untuk pemilih dan pengambil keputusan","PeriodicalId":285276,"journal":{"name":"JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi","volume":"110 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141667113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

TEXT MINING UNTUK ANALISIS SENTIMEN REVIEW FILM MENGGUNAKAN ALGORITMA NAÏVE BAYES 使用奈维贝叶斯算法对电影评论进行情感分析的文本挖掘

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2024-07-08 DOI: 10.32524/jusitik.v7i2.1168

Muhammad Haidar Rifki, Yustina Retno Wahyu Utami, Paulus Harsadi

{"title":"TEXT MINING UNTUK ANALISIS SENTIMEN REVIEW FILM MENGGUNAKAN ALGORITMA NAÏVE BAYES","authors":"Muhammad Haidar Rifki, Yustina Retno Wahyu Utami, Paulus Harsadi","doi":"10.32524/jusitik.v7i2.1168","DOIUrl":"https://doi.org/10.32524/jusitik.v7i2.1168","url":null,"abstract":"In its development, information technology brought about many changes and advances in the context of everyday life. One of the benefits of information technology to process large amounts of data is text mining. A movie is a spectacle that can be done at a relaxed time. Currently, there are many movies that can be watched via the internet or cinema. Movies that are watched on the internet are sometimes charged to watch so that potential viewers before watching a movie will read comments from users who have watched the movie. Film business and its individual reviews cannot be separated and film review sites such as IMDb is a credible source of reviews posted in public forums. Movie comments are many and varied on the IMDB website, we can see comments based on the movie title. This causes users to have difficulty analyzing other users' comments. So, this study aims to analyze the sentiment of opinions from several comments from IMDB website users and will be classified using the naïve bayes classifier method. Sentiment analysis is a classification process to understand the opinions, interactions, and emotions of a document or text. Naïve Bayes is suitable for solving multi-class prediction problems. If its assumption of the independence of features holds true, it can perform better than other models and requires much less training data. In addition to the Naïve Bayes Classifier, TF-IDF technique is also used to change the shape of the document into several words. The results obtained by applying the Naïve Bayes method are 87,2% accuracy, 92,4% recall, 80,9% precision, and 12,8% error rate. \u0000Keywords : Classification, IMDb, Naïve Bayes, Sentiment Analysis","PeriodicalId":285276,"journal":{"name":"JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi","volume":"103 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141667265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Penerapan Data Mining Untuk Klasifikasi Produk Terlaris Menggunakan Algoritma Naive Bayes Pada Bengkel Motor 使用 Naive Bayes 算法进行畅销产品分类的数据挖掘在摩托车车间中的应用

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2024-07-04 DOI: 10.32524/jusitik.v7i2.1148

Alvin Julianto, Sri Andayani

引用次数: 0

Analisis Perilaku Siswa pada Pembelajaran Daring Menggunakan k-Means Clustering dari Log Data Moodle pada SMPN 6 Salatiga 利用k-Means聚类法对萨拉蒂加第六中学Moodle日志数据中的学生在线学习行为进行分析

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2024-07-03 DOI: 10.32524/jusitik.v7i2.1108

Jeremy Evans, Yessica Nataliani

引用次数: 0

ANALISIS SENTIMEN ARTIFICIAL INTELLIGENCE (AI) PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE LEXICON BASED 使用基于词典的方法对 twitter 社交媒体上的人工智能 (AI) 进行情感分析

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2023-12-17 DOI: 10.32524/jusitik.v7i1.1042

Steven Adi Putra, A. Wijaya

{"title":"ANALISIS SENTIMEN ARTIFICIAL INTELLIGENCE (AI) PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE LEXICON BASED","authors":"Steven Adi Putra, A. Wijaya","doi":"10.32524/jusitik.v7i1.1042","DOIUrl":"https://doi.org/10.32524/jusitik.v7i1.1042","url":null,"abstract":"Perkembangan Artificial Intelligence menjadi sebuah fenomena yang dikenal luas didunia. Artificial Intelligence memiliki peran yang dapat memungkinkan robot melakukan tugas bersama manusia bahkan menggantikan posisi manusia. Meskipun banyak manfaat yang bisa didapatkan pada penggunaan Artificial intelligence tentu akan menimbulkan persepsi masyarakat melalui sosial media twitter. Penelitian ini dilakukan untuk menganalisis sentimen masyarakat terhadap Artificial intelligence yang terdiri dari kelas sentimen positif, netral, hingga negatif berdasarkan hasil dari kelas polaritas. Dalam melakukan analisis sentimen digunakan metode penelitian lexicon-based dengan library vader sentiment. Berdasarkan hasil analisis sentimen didapat hasil bahwa Artificial Intelligence memiliki 64% dengan sentimen positif, 25% dengan sentimen netral dan 11% dengan sentimen negatif selain itu pada tweets dengan kata kunci “Artificial Intelligence” banyak mengandung kata-kata seperti “new”, “use”, “future”, “technology”. Maka dari itu dapat disimpulkan opini masyarakat terkait Artificial Intelligence cenderung positif dengan menganggap Artificial Intelligence sebuah teknologi baru dimasa depan.","PeriodicalId":285276,"journal":{"name":"JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi","volume":"30 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Informasi E-Presensi Mahasiswa Menggunakan Qr Code Program Studi Sistem Informasi Universitas Indo Global Mandiri 使用 Qr 码的学生电子存在信息系统信息系统学习课程，Indo Global Mandiri 大学

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2023-12-15 DOI: 10.32524/jusitik.v7i1.1041

Ahmad Daniel Pratama, N. Ariati, H. Kesuma

引用次数: 0

Penerapan Metode Theory of Planned Behavior Untuk Tingkat Kepercayaan Pelanggan Terhadap Minat Belanja Online 计划行为理论方法在客户信任度与网上购物兴趣之间的应用

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2023-12-12 DOI: 10.32524/jusitik.v7i1.1038

Anggelo Steven Windy Maslim, S. Andayani

引用次数: 0

Penyelarasan Tujuan dan Sasaran Bisnis Teknologi Informasi Menggunakan Kerangka Kerja COBIT 4.1 使用 COBIT 4.1 框架调整信息技术业务目标和目的

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2023-12-10 DOI: 10.32524/jusitik.v7i1.1037

A. Wijaya

{"title":"Penyelarasan Tujuan dan Sasaran Bisnis Teknologi Informasi Menggunakan Kerangka Kerja COBIT 4.1","authors":"A. Wijaya","doi":"10.32524/jusitik.v7i1.1037","DOIUrl":"https://doi.org/10.32524/jusitik.v7i1.1037","url":null,"abstract":"In carrying out its business strategy the company is now using information technology (IT) as a support to get certainty effective and efficient that the business strategy is working as expected. Thus IT is now becoming an integral part and integrated with an organization's business objectives so that the evaluation and monitoring of the effectiveness of the company's information technology governance are urgently required in order to know the extent of the application of IT in the company will affect the achievement of the vision, mission or strategic objectives. One very important process, aligning with business objectives and IT objectives. In this paper the alignment is done by reference to the standard IT governance good that standardization Framework COBIT 4.1 and in this paper also presents examples and techniques based on research that has been done, how to align business goals and objectives of IT, to find the appropriate evaluation in preparing IT governance based on best practices in accordance standardization COBIT. By knowing this alignment will allow companies to rearrange and implementing IT governance within the enterprise so that internal controls will be the utilization of IT can be applied to evaluate the shortcomings, weaknesses, and can improve the performance of IT in line and in accordance with its business strategy.","PeriodicalId":285276,"journal":{"name":"JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi","volume":"98 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

APLIKASI PERPUSTAKAAN PADA SDK MITRA PENABUR EBEN HAEZER PALEMBANG BERBASIS DESKTOP SDK合作伙伴的图书馆应用程序EBEN HAEZER PALEMBANG基于桌面

JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Pub Date : 2023-07-25 DOI: 10.32524/jusitik.v6i2.964

Clara Agustina, Stefanus Setyo Wibagso

引用次数: 0