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Pendekatan Text Mining dalam Menilai Sentimen Publik pada Baterai Kendaraan Listrik Trisna Yuniarti; Juli Astuti; Firdhani Faujiyah; M. Zaiyar
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

The use of technology and information in the Industry 4.0 era has been widely used to extract information from textual data patterns. The development of technology and the availability of big data from various platforms can provide valuable insights and facilitate better decision making. In this study, we aim to extract information and obtain the main topics of public sentiment on electric vehicle batteries. The data source is obtained from the results of comments or tweets on X social media. A total of 1,302 texts were processed using text mining techniques in the orange data mining application. This technique consists of several stages of text processing, namely transformation, filtering and tokenisation. The results of the text processing are extracted by word cloud to find the characteristics of words that are often discussed by the community. Next, sentiment analysis is performed to find out people's opinions about electric vehicle batteries based on positive, negative and neutral categories. Finally, topic modelling is performed using LDA to identify the topics discussed in each sentiment category. The results showed that public opinion was divided into three categories: 37% positive, 42% neutral and 21% negative. A frequently discussed topic in relation to electric vehicle batteries is the word feature nickel. Topic modelling produces five main topic categories that are frequently discussed by the public.

Pengembangan Media Pemasaran Dan Digitalisasi Pemasaran Di PT Nirwana Unggul Restu, Depok, Jawa Barat Rizal, Muhammad Alde; Bani, Fajar Ciputra Daeng; Yuniarti, Trisna; Faujiyah, Fidhani
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 4 No 3 (2024): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v4i3.721

UMKM sebagai penyumbang Produk Domestik Bruto (PDB) nasional memiliki peran penting dalam pemulihan ekonomi Pasca Pandemi Covid-19. Perkembangan dan juga peningkatan kemampuan UMKM agar dapat bersaing di pasaran perlu difasilitasi dan dibantu. PT Nirwana Unggul Restu tercatat sebagai UMKM yang baru didirikan dan masih belum memiliki media promosi yang memadai. Oleh karena kegiatan pengabdian Masyarakat ini berfokus pada implementasi pengembangan media pemasaran dan digitalisasi pemasaran di PT Nirwana Unggul Restu. Kegiatan ini dilakukan selama kurang lebih 4 bulan dari mulai bulan Agustus hingga November 2023 dengan jumlah anggota pelaksana tiga orang dosen dengan bidang program studi yang berbeda. Adapun beberapa teknologi yang dihasilkan melalui media digital, yaitu diantaranya logo usaha, label produk, mockup packaging produk, dan media promosi melalui Instagram bisnis.

Data Mining Modeling in Clustering Car Products Sales Data in the Automotive Industry in Indonesia Astuti, Juli; Yuniarti, Trisna
Jurnal Manajemen Industri dan Logistik Vol 7, No 2 (2023): page 205 - 353
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v7i2.1258

The research aims to build a model based on sales data for all automotive products in Indonesia using data mining with a k-means approach. This study uses automotive product sales data from January 2017 to September 2022. The lowest Davis-Bouldin index shows that three clusters (k=3) have the best performance. Based on the clustering results, 92% of the items are in cluster 0, 1% in cluster 1, and 7% in cluster 2. In addition, the clustering results show that cluster 1 is a car product with high sales volume. Cluster 2 is a car product with medium sales volume. Furthermore, cluster 0 is a car product with low sales volume. Business people or related parties can use data visualization and extraction from clustering results to learn the latest insights and information in determining business strategies, policies, and decisions to improve business competitiveness.

ANALISIS KUALITAS APLIKASI KESEHATAN MENGGUNAKAN MODEL OVERALL USER EXPERIENCE (UX) DAN KONSEP CONTINUANCE INTENTION Hayati, Dahliyah; Bianggo Naue, Dian Adhe; Mangunsong, Sonlimar; Yuniarti, Trisna; Bayunata, Athur; ., Listrianah
JPP JURNAL KESEHATAN POLTEKKES PALEMBANG Vol 16 No 2 Desember (2021): JPP (Jurnal Kesehatan Poltekkes Palembang)
Publisher : Poltekkes Kemenkes Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36086/jpp.v16i2 Desember.961

Latar Belakang: Kondisi pandemi Covid-19 membuat masyarakat semakin sadar akan pentingnya kesehatan terutama kondisi imunitas tubuh. Dengan teknologi yang semakin canggih, masyarakat dapat memilih aplikasi pencatat kesehatan berbasis IT dengan infrastruktur yang memadai langsung dari smartphone. Adapun tujuan dari penelitian ini adalah untuk mengevaluasi interaksi antara manusia dengan sistem (human computer interaction) dan hubungannya dengan kualitas pengalaman pemakaian. Dalam usaha meningkatkan produk, User Experience (UX) merupakan salah satu hal yang penting. Konsep dari model user experience (UX) memberikan aspek efisiensi dan efektivitas serta nilai estetika, perasaan senang atau ketertarikan. Metode: Penelitian dilakukan dengan penggabungan model Overall User Experience (UX) dan konsep Continuance Intention (CI). Hasil: Dari penelitian yang dilakukan didapat bahwa Samsung Health dan Google fit mengalami perbedaan. Untuk Samsung Health terdapat satu variabel yaitu user value yang tidak memberikan pengaruh signifikan terhadap penilaian pengguna pada keseluruhan UX dan konsep CI. Pada google fit terdapat dua variabel yang tidak memberikan pengaruh signifikan terhadap keseluruhan UX dan CI, yaitu user value dan usability. Hal ini dapat disebabkan terjadinya perbedaan ekspektasi dan harapan pengguna terhadap aplikasi yang digunakan tersebut. Dari kedua data preferensi pengguna terhadap UX dan CI, variabel yang berpengaruh secara signfikan terhadap kedua aplikasi adalah affect atau penampilan aplikasi. Kesimpulan: Dari pengolahan data dapat disimpulkan bahwa prioritas indikator yang terdapat pada aplikasi yang perlu diperhatikan adalah simplicity, attractiveness, customer need dan pleasure. Berdasarkan hasil penelitian dapat disimpukan juga bahwa terdapat pengaruh signifikan antara user experience dan juga keberlanjutan penggunaan. Hal ini perlu dijadikan pertimbangan bagi perusahaan pengembang dalam meningkatkan produk-produk aplikasi mereka selanjutnya.

Data Mining Modeling in Clustering Car Products Sales Data in the Automotive Industry in Indonesia Astuti, Juli; Yuniarti, Trisna
Jurnal Manajemen Industri dan Logistik Vol. 7 No. 2 (2023): November 2023
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v7i2.1258

The research aims to build a model based on sales data for all automotive products in Indonesia using data mining with a k-means approach. This study uses automotive product sales data from January 2017 to September 2022. The lowest Davis-Bouldin index shows that three clusters (k=3) have the best performance. Based on the clustering results, 92% of the items are in cluster 0, 1% in cluster 1, and 7% in cluster 2. In addition, the clustering results show that cluster 1 is a car product with high sales volume. Cluster 2 is a car product with medium sales volume. Furthermore, cluster 0 is a car product with low sales volume. Business people or related parties can use data visualization and extraction from clustering results to learn the latest insights and information in determining business strategies, policies, and decisions to improve business competitiveness.

Environmental Awareness, Government Promotion, Perceived Price Value, Lifestyle, dan Perceived Risk Terhadap Minat Beli Kendaraan Listrik. Faujiyah, Firdhani; Rahmawati, Anisa; Yuniarti, Trisna
JURNAL ILMIAH MANAJEMEN & BISNIS Vol 26, No 1 (2025): APRIL - SEPTEMBER
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jimb.v26i1.22618

Purpose – This study aims to examine the factors influencing consumer purchase intention toward electric vehicle products in the Greater Jakarta Area (Jabodetabek). Methodology – Through purposive sampling of motor vehicle users in the Jabodetabek area, a total of 1780 questionnaire responses were collected. Then the data were analysed using the Sequential Equation Modelling (SEM) method - PLS.Findings – Based on the analysis's results, lifestyle is the most influential factor affecting consumers' purchase intention of electric vehicles, compared to other factors studied. In contrast, environmental awareness does not significantly influence consumers’ intention to purchase electric vehicles.Originality/Novelty – This study offers a new perspective on how environmental awareness, government promotion, perceived price value, lifestyle, and perceived risk affect purchase intention toward electric vehicles in the Jabodetabek area. Consequently, it provides insights for developing more effective marketing strategies and public policies to reach potential consumers.Implications – Despite adequate infrastructure, along with supportive government policies and subsidies aimed at promoting the adoption of electric vehicles to reduce carbon emissions in the Jabodetabek area, environmental awareness alone does not significantly drive consumer interest. Instead, lifestyle emerges as the most influential factor in shaping consumer purchase intention. These findings suggest that stakeholders should consider lifestyle-oriented strategies to enhance the effectiveness of marketing policies and promote electric vehicle adoption as part of the border to reduce carbon emissions

Pengenalan Standar Mutu dalam Industri Pangan di Pabrik Tahu, Depok Hayati, Dahliyah; Yuniarti, Trisna; Bianggo, Dian Adhe
Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Vol 3 No 2 (2021): Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Politeknik Kesehatatan Kemenkes Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36086/j.abdikemas.v3i2.922

Food that is guaranteed to be clean is one of the main factors in the success of humans in maintaining a healthy body. Not all small and medium-sized industries (IKM) understand the food quality standards that they must follow to ensure the cleanliness of their processed products. One of the main tasks of lecturers is to do community service, where through this community service program it is hoped that the knowledge possessed by lecturers can provide benefits not only for the world of education, but also the wider community including small and medium industry players. From the community service carried out by APP Jakarta Polytechnic lecturers in several IKMs, it is clear that industry players really need the transfer of knowledge about what good food quality standards look like and it can be concluded that the provision of material on good food quality standards (ISO 22000:2018) is not can be done only with 1-2 arrivals, but also required further assistance to get optimal results.

Analisis Proses Operasional Air Freight Pada Perusahaan Freight Forwarder Menggunakan Value Stream Mapping Bani, Fajar Ciputra Daeng; Rizal, Muhammad Alde; Faujiyah, Firdhani; Yuniarti, Trisna
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.103

This study aims to provide an overview of the concept of Value Stream Mapping and its significance in process improvement. It highlights the key steps involved in creating a VSM and emphasizes its role in identifying and addressing various types of waste, such as waiting time, unnecessary movement, and rework. By mapping the current state of a process, organizations gain insights into its inefficiencies and areas for improvement. Furthermore, the importance of developing a future state Value Stream Map that outlines the desired state of the process after implementing improvements. It emphasizes the need for continuous monitoring and evaluation to ensure sustained progress and ongoing optimization. Overall, Value Stream Mapping offers organizations a systematic approach to analyze, optimize, and enhance their processes. By visualizing the value flow and identifying opportunities for improvement, businesses can achieve higher levels of efficiency, reduced costs, improved quality, and ultimately deliver greater value to their customers. The calculation and analysis explained that the total processing time was 105.8 minutes and the total lead time was 47 minutes resulting in a non-value added (NVA) of 34 minutes. If the converted into a process percentage form, it is 32% of the total time spent on operational air freight.

Pengambilan Keputusan Menggunakan Analytical Hierarchy Process (AHP) pada Pemilihan Pemasok Produk Lampu Arum, Riska Mulia; Yuniarti, Trisna
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 2 No. 2 (2021)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v2i2.56

This study aims to determine the best supplier for in-Lite lighting products. The company chose criteria and sub-criteria in supplier selection to optimize product sales continuity. This study used the Analytical Hierarchy Process (AHP) method, which provided information about the criteria, sub-criteria, and alternatives in the selection of three suppliers: A, B, and C. The existence of priority weights provided a decision in choosing the supplier of the lighting product. The new criteria and sub-criteria were the results of the literature study formulation and then adjusted again with the results of the interview. Seven criteria were determined in this study: production, price, quality, site selection, product suitability, delivery, and service. The results of the calculation of the priority weights of the criteria, sub-criteria, and alternative selection using a questionnaire. The parties involved in the selection of suppliers filled out the questionnaire to obtain a weight for each supplier. Based on the results of AHP calculations, supplier A got the highest weight of 0,442 or 44%, so this supplier is used as a company priority in choosing suppliers for in-Lite type lighting products.

Segmentasi Perkebunan Kelapa Sawit dengan Data Mining Teknik K-Means Clustering Berdasarkan Luas Areal, Produksi dan Produktivitas Yuniarti, Trisna; Hayati, Dahliyah
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 2 No. 2 (2021)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/

The oil palm is the most productive plantation product in Indonesia. Government strategies and policies related to oil palm plantations continue to be carried out considering that the plantation area is increasing every year. Segmentation of oil palm plantations based on area, production, and productivity aims to identify groups of potential oil palm plantations in the territory of Indonesia. This segmentation can provide consideration in formulating strategies and policies that will be made by the government. The segmentation method for grouping oil palm plantations uses the K-Means Clustering Data Mining technique with 3 clusters specified. Data mining stages start from data collection until representation is carried out, where 34 data sets are collected, only 25 data sets can be processed further. The results of this grouping obtained three plantation segments, namely 72% of the plantation group with low potential, 20% of the plantation group with medium potential, and 8% of the plantation group with high potential.

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