1,720,986 research outputs found
Clustering K-Means Kinerja Assistant Sales Representative pada PT Pupuk Kujang Cikampek, Departemen Pemasaran dan Penjualan Ritel
No full textPerseroan Terbatas (PT) Pupuk Kujang merupakan salah satu anak perusahaan dari BUMN di indonesia yaitu PT Pupuk Indonesia Holding Company PT Pupuk Kujang merupakan perusahaan besar yang bergerak di bidang produksi, perdagangan, mempersembahkan jasa, angkutan, dan ekpedisi.PT Pupuk Kujang memiliki struktur organisasi yaitu Departemen Pemasaran dan Penjualan Ritel. Asisten Perwakilan Penjualan(ASR) merupakan jabatan bagi seseorang yang bekerja di PT Pupuk Kujang Cikampek, Departemen Pemasaran dan Penjualan ritel. Seringkali beberapa ASR tidak mencapai target dalam melakukan kegiatan, hal ini dapat merugikan perusahaan karena tingkat kinerja dari ASR terdapat kekurangan sehingga tugas pokok Departemen Pemasaran dan Penjualan Ritel tidak dapat dicapai dengan baik. Penelitian ini akan dilakukan pengelompokan dengan 3 klaster yaitu produktif, menengah, dan kurang produktif dengan metode clustering teknik algoritma K-Means. Hasil dari penelitian ini didapatkan sebanyak 6 ASR masuk ke dalam kelompok kurang produktif
PREDICTION OF PUBLIC SERVICE SATISFACTION USING C4.5 AND NAÏVE BAYES ALGORITHM
Get PDFOne of the things that has often been questioned lately is in the field of public services, especially in terms of the quality or service quality of government agencies to the community, the Manpower and Transmigration Office of Kab. Karawang is a government agency in charge of public services. where one of the tasks is to make an AK.1 card (yellow card), based on this problem the Manpower and Transmigration Office of Kab. Karawang Regency. Karawang seeks to improve service quality in order to satisfy consumers by distributing questionnaires to every consumer who is making an AK card.1. In this study, we will apply the C4.5 and Naïve Bayes algorithms to predict the satisfaction of public services with the nominal type of dataset used. The evaluation is done based on a comparison of the level of accuracy, precision, recall, and F-Measure using a confusion matrix. From the research that has been carried out, the Naïve Bayes algorithm with 70% training data distribution and 30% testing is able to provide better predictive results than the C4.5 algorithm as evidenced by the accuracy value = 96.89%, precision = 95.50%, recall = 95.00% and f-measure = 94.60%
RANCANG BANGUN WEBSITE KISAHLOKA: PLATFORM DIGITAL UNTUK PELESTARIAN CERITA RAKYAT INDONESIA
Get PDFWebsite Kisahloka dirancang sebagai platform digital untuk pelestarian cerita rakyat Indonesia. Tujuan utama dari penelitian ini adalah untuk mengembangkan sebuah website yang dapat menjadi repository cerita rakyat dari seluruh Nusantara, sekaligus sebagai media interaktif untuk memperpanjang kehidupan cerita-cerita tersebut di era digital. Metode penelitian yang digunakan meliputi pengumpulan data melalui studi literatur dan wawancara, perancangan sistem menggunakan UML, implementasi website dengan teknologi web modern, serta pengujian fungsionalitas dan kinerja sistem. Hasil penelitian menunjukkan bahwa website Kisahloka dapat diakses dengan mudah dan memberikan pengalaman pengguna yang intuitif. Evaluasi pengguna menunjukkan tingkat keberhasilan yang cukup tinggi dalam penggunaan fitur-fitur utama, meskipun beberapa fitur memerlukan perbaikan lebih lanjut untuk meningkatkan kemudahan penggunaan. Website ini diharapkan dapat menjadi kontribusi signifikan dalam upaya pelestarian budaya melalui teknologi digita
GOVERNMENT POLICIES MODELING IN CONTROLLING INDONESIA'S COVID-19 CASES USING DATA MINING
Get PDFSince the positive case of covid-19 in Indonesia, the government has taken several policies with the purpose of controlling the spread of the covid-19 virus, which has been regulated in Government Regulation No. 21 of 2020. The purpose of research is to obtain a model of government policy in controlling cases of covid by using data mining classification techniques, and obtain attributes that have the greatest weight, as well as look at the impact of policies that have been carried out by the government on the cases of covid-19 in Indonesia. The methodology used in the research is Knowledge Discovery In Database (KDD). Based on the research that has been done, it can be concluded that the policies that have been done by the government in controlling cases of covid-19 can be said to be successful, the C4.5 algorithm is the algorithm that gives the best results compared to the Deep Learning algorithm, as well as the attribute that has the greatest weight is cancel public events. Secondary data will be used in this research
PENERAPAN ALGORITMA GAUSSIAN NAIVE BAYES DALAM PENENTUAN PRIORITAS REHABILITASI DAERAH ALIRAN SUNGAI BERDASARKAN PARAMETER LAHAN KRITIS
Get PDFBerkurangnya sumber air, lapisan tanah yang subur mengalami erosi, longsor, dimana hal ini berdampak pada perubahan lahan kritis, yang menyebabkan penurunan kualitas Daerah Aliran Sungai (DAS). DAS Pemali Jratun memiliki lahan kritis seluas 559.492.530 hektar. Pendekatan klasifikasi dapat digunakan untuk mengidentifikasi wilayah yang memiliki lahan kritis dengan menggunakan algoritma Gaussian Naive Bayes selama proses data mining, dengan metodologi yang digunakan dalam penelitian ini adalah KDD. Skenario pembagian dataset terbagi menjadi 3 yaitu data 70:30, 80:20, dan 90:10, penelitian ini akan dibagi menjadi 5 klasifikasi, yaitu Sangat Kritis, Kritis, Agak Kritis, Kritis Potensial, dan Tidak Kritis. Hasil pengujian dari 3 skenario yang dibuat, pemodelan dari rasio 70:30, memiliki akurasi yang unggul. Nilai F1-Score 0,61, Precision 0,56, Recall 0,71, dan Accuracy 71%. Berdasarkan kesimpulan akhir klasifikasi, terdapat dua kelas lahan kritis penting yaitu kelas 1 dengan tingkat kekritisan lahan berpotensi kritis dan kelas 2 dengan tingkat kekritisan lahan agak kritis
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
ANALYSIS OF KARAWANG ONLINE SALES CUSTOMER SATISFACTION USING CUSTOMER SATISFACTION INDEX (CSI) METHOD: Analisis Tingkat Kepuasan Konsumen Karawang Terhadap Perkembangan Penjualan Online Dengan Menggunakan Metode Customer Satisfaction Index (CSI)
Get PDFKarawang is one of the industrial cities. Most industry players look at Karawang as a strategic city to run a business. Many products have been produced from Karawang. However, there are lack in promoting, marketing the product and expanding the marketing area. The analysis of consumer satisfaction in Karawang is to determine the satisfaction of Karawang consumers to the prospects of promising online sales. Service attributes can be included in increasing online sales at Karawang using the Customer Satisfaction Index (CSI) method. The result of the Customer Satisfaction Index (CSI) is 78.43% which means that overall consumers who live in Karawang and have been shopped online are satisfied with the development of online shopping. This research was conducted in Karawang. The data used are primary data and secondary data. The sampling method is a non-probability sampling method, while the non-probability sampling method used sampling purposes
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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