Garuda - Garba Rujukan Digital

STRATEGI PEMASARAN PRODUK INDUSTRI KREATIF MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING BERBASIS PARTICLE SWARM OPTIMIZATION Oding Herdiana; Shanti Maulani; Eryan Ahmad Firdaus
NUANSA INFORMATIKA Vol 15, No 2 (2021)
Publisher : FKOM UNIKU

The existence of abundant UMKM data sources can be used to dig up information. Classification is one of the techniques to explore hidden data owned by data mining. Data mining classification methods, one of which is the Support Vector Machine (SVM) algorithm. The SVM algorithm has proven better results than the KKN, Decision Tree and Linear Regression algorithms. In the classification process, the accuracy and time efficiency results obtained are very important. So optimization is needed in order to increase accuracy and time efficiency during the classification process. The optimization of the SVM algorithm was carried out using the K-Means algorithm for the clustering and continuous process on UMKM data and the feature selection process using Particle Swarm Optimization (PSO). This paper aims to optimize the accuracy of the data in the form of type of business, business and turnover. From the results of the discussion of the SVM method using K-Means and PSO, it gives an average accuracy of 55% but 0.12% lower than SVM just using PSO. Keywords: UMKM, Clustering, K-Means, SVM, PSO

Perencanaan Business Intelligence untuk Strategi Pengembangan Produk Unggulan UMKM Oding Herdiana; Syti Sarah Maesaroh; Alifia Fatimatun Nazya
Jurnal Teknologi Informatika dan Komputer Vol 8, No 2 (2022): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v8i2.1142

Pengembangan Usaha Mikro Kecil dan Menengah (UMKM) merupakan upaya yang dilakukan pemerintah, dunia usaha, dan masyarakat untuk memberdayakan UMKM melalui pemberian fasilitas, bimbingan, pendampingan dan meningkatkan kemampuan daya saing UMKM. Upaya pengembangan UMKM melalui akselerasi produk unggulan agar masuk pasar digital terus ditingkatkan oleh pemerintah. Pelaku bisnis yang sukses biasanya dijelaskan dengan omset yang tinggi. Namun, jika pengusaha tidak dapat mengelola inventaris barang, memperkirakan produksi, dan membeli secara cepat dan akurat akan mengakibatkan produk kehabisan stok atau terjual pada waktu yang salah. Proses bisnis yang dilakukan UMKM perlu direncanakan dengan baik, mulai dari pemasaran produk, mengelola keuangan, merekrut karyawan, membeli bahan baku, dan mengelola produksi. Penelitian ini menggunakan metode penelitian development reserarch, dengan metode pengembangan sistem business intelligence Larissa T.moss. Penelitian ini merancang sistem Business Intelligence dengan memanfaatkan data UMKM Kota Tasikmalaya untuk strategi pengembangan produk unggulan menggunakan mockup prototype. Penelitian ini menghasilkan sebuah rancangan dashboard business intelligence bagi Dinas UMKM yang menampilkan profil bisnis berupa informasi status badan usaha, pengusaha UMKM per jenis kelamin dan rata-rata pendapatan. Sistem ini juga dirancang untuk kebutuhan pelaku UMKM berupa dashboarad business intelligence yang dapat mengetahui pendapatan sesuai dengan waktu, mengetahui trend produk yang paling banyak diminati, akses pembiayaan, dan dapat memprediksi penjualan produk.

Marketing Risk Management and Mapping Based on Geographic Information System in The Micro, Small, and Medium Enterprise in Tasikmalaya City Syti Sarah Maesaroh; Ardli Swardana; Asep Nuryadin; Oding Herdiana; Risma Rahatuningtyas
Jurnal Ilmiah Manajemen dan Bisnis Vol 8, No 3 (2022): Jurnal Ilmiah Manajemen dan Bisnis
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jimb.v8i3.15796

The current COVID-19 pandemic has greatly impacted the economic sector, especially Micro, Small, and Medium Enterprises (MSMEs). Restrictions on physical mobility hinder the marketing of MSMEs’ products, which is usually carried out directly. This is one of the important risks to be studied in depth. The purpose of this study is to determine the management system and mapping of marketing risks in MSMEs in Tasikmalaya City. The research method used in this study was descriptive quantitative. Data were collected through a closed questionnaire that was given to MSMEs. The obtained data were processed through a risk management system approach and then mapped using a Geographical Information System (GIS). The results showed that the highest marketing risks for MSMEs in Tasikmalaya City are increasingly fierce business competition, nonoptimal internet usage, and limited marketing coverage. Geographically, the level of marketing risks of MSMEs in Tasikmalaya City is in the medium category. Geographical marketing risk mapping can determine the most appropriate recommendations to deal with various risks faced according to regional characteristics.

Implementasi Aplikasi Peringatan Bencana Longsor Berbasis Android Sebagai Teknologi Tepat Guna Untuk Masyarakat Desa Cililin Kabupaten Bandung Barat Rangga Gelar Guntara; Oding Herdiana; Muhammad Naufal Nurfirmansyah
Jurnal Pengabdian Masyarakat Bhinneka Vol. 1 No. 3 (2023): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v1i3.53

Bencana longsor di Desa Cililin Kabupaten Bandung Barat sering terjadi tanpa dapat diprediksi sebelumnya. Hal ini membuat masyarakat menjadi tidak tenang karena ancaman bencana yang dapat datang kapan saja. Oleh karena itu, diperlukan sebuah media yang dapat membantu masyarakat mendapatkan informasi keadaan bencana longsor di Desa Cililin secara mudah dan akurat. Melalui kegiatan pengabdian kepada masyarakat yang dilakukan oleh dosen dari Universitas Pendidikan Indonesia Program Studi Bisnis Digital Kampus Daerah Tasikmalaya, telah dikembangkan sebuah sistem atau aplikasi berbasis android yang dapat digunakan sebagai media pemberi informasi peringatan bencana longsor. Aplikasi yang dibuat menggunakan teknologi Firebase Cloud Messaging dari Google Cloud Platform sebagai pengirim notifikasi peringatan bencana. Berdasarkan hasil kegiatan berupa pengujian aplikasi dan pelatihan penggunaan aplikasi langsung oleh masyarakat, dapat diberi kesimpulan bahwa aplikasi sudah berjalan sesuai fungsinya dan kegiatan pengabdian kepada masyarakat ini dapat membantu menyelesaikan permasalahan mengenai peringatan bencana longsor di Desa Cililin. Selain itu, penulis menyarankan agar pemerintah setempat dapat berperan lebih proaktif lagi dalam pemeliharaan teknologi ini. Kemudian diharapkan teknologi tepat guna pada PKM ini dapat di implementasikan juga ke daerah-daerah lainnya.

The Evaluation of User Experience UPI Digital Business Website with Usability Testing Method and System Usability Scale Moch Gan-gan Sidiq; Rangga Gelar Guntara; Oding Herdiana
Indonesian Journal of Digital Business Vol 4, No 1 (2024): Indonesian Journal of Digital Business
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijdb.v4i1.59589

The UPI Digital Business website, which has a domain at https://bisnisDigital.upi, is the official website of the Digital Business study program at Universitas Pendidikan Indonesia. According to the results of observing similarweb.com visitor traffic data, there are interesting findings related to the high bounce rate on the website, which is 71.35%. Likewise, from the results of informal observations of the closest website users, namely UPI Digital Business students, it was found that there were still complaints, one of which was difficulty finding some of the information needed because of the confusing navigation structure. The developer has never evaluated the experience of using the website, so it is not yet known how and how well the website can be used by current users. The research focuses on evaluating user experience in terms of ease of use by conducting usability testing and SUS tests with three aspects of ISO 9421-11 usability, namely effectivity, efficiency, and satisfaction. The result is that effectivity gets a grade “ Bad” with score of 60%, efficiency gets a score of 38%, and satisfaction gets a score of 33 out of 100.

Pengaruh Pemasaran Media Sosial terhadap Keterlibatan Pelanggan (Survei pada Pengguna Halodoc di Indonesia) Alif Ridha Ramadhani; Mochamad Ardan Fauzi; Muhammad Mufti Abdullah; Syti Sarah Maesaroh; Oding Herdiana
Jurnal Teknologi Terpadu Vol. 9 No. 1 (2023): Juli, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i1.622

This study was conducted to obtain information about the magnitude of the influence of social media marketing on customer engagement. Social media marketing (X) is the independent variable, and customer engagement (Y) is the dependent variable in this study. Followers on the Halodoc Instagram account were selected to be the population in this study, and the sample was taken randomly (simple random sampling), with 120 respondents successfully obtained. The SEM method is used to analyze data with the help of IBM SPSS AMOS 21 software for Windows in the data processing. The results of data processing illustrate that there is an influence of social media marketing on customer involvement of (0.931) with a p-value (0.002) <0.05. Artificial Intelligence-Analitycs for social media is a tool for efforts to increase the competitiveness of official Instagram managers for a business against competitors owned by analyzing content optimization through various services in the form of statistics and metrics from Artificial Intelligence-Analitycs providers, which are generally website-based. The author's recommendation for Halodoc is to increase closeness with customers so that their bonds become stronger through planning content that is useful for the community and packaged attractively. Later it is hoped that there will be more user-generated content or posting word-of-mouth recommendation comments from customers to other customers.

Development of a REST API for Human Resource Information System for Employee Referral Management Domain Using the Express JS Framework and Node.js Varinia Azkarin; Rangga Gelar Guntara; Oding Herdiana
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 2 No. 3 (2023): Vol. 2 No. 3 2023
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v2i3.199

This paper presents the development process of a REST API for a Human Resource Information System (HRIS) focusing on employee referral management. The API was developed using the Express JS framework and Node.js, leveraging their powerful capabilities for efficient web application development. The HRIS serves as a centralized platform for managing employee referrals, tracking candidate progress, and optimizing talent acquisition. The article provides insights into the methodology, key features, and advantages of using the Express JS framework and Node.js for building such an HRIS. The results of the study indicate that the Express JS and Node.js frameworks have successfully developed a REST API for HRIS in the domain of employee referral management. This is evident from the black box testing results, which show valid outcomes for each tested request and response in every API endpoint.

Perencanaan Business Intelligence untuk Strategi Pengembangan Produk Unggulan Menggunakan Algoritma Support Vector Machine Oding Herdiana
Jurnal Informatika Vol 2 No 2 (2023): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v2i2.1088

The government continues to encourage the government to accelerate Small and Medium Enterprises (SMEs) flagship products to enter the digital market, because the current digitalization of SMEs cannot be ignored, SMEs must be able to change their business to the digital realm. The strategy for developing superior SME products needs to be well planned, because a good and measurable strategy is very important for policy making. Development uses an approach that emphasizes that the driving force of development is commodities that are considered to be superior, both at the domestic, national and international levels. Superior products that have quality and are needed by customers require the right selection process, so we need a method to produce this information. Business Intelligence (BI) is a global term for all processes, techniques, and tools that support business decision making based on information technology. The strategy for developing superior products for SME products uses the criteria of production data, income, and SME respondent data in determining the priority list. A good product assessment based on priority can be done by BI using the classification method with the Support Vector Machine (SVM) algorithm. The research method carried out for planning the development of superior products for MSMEs in Tasikmalaya City is a research development research. To complete the classification of the right superior product development strategy, then Support Vector Machine algorithm can be used with test results using the Confusion Matrix with an average accuracy of 97%.

Pengaplikasian Literasi Wirausaha Digital Yang Mendorong Tumbuhnya Motivasi Pengembangan Usaha Santanamekar Kabupaten Tasikmalaya Adi Prehanto; Btari Mariska Purwaamijaya; Oding Herdiana; Muhammad Dzikri Ar Ridlo; Adam Hermawan; Alifia Fatimatun Nazya
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 1 (2024): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i1.525

The industrial revolution 4.0 has brought many developments, the era of automation has been implemented in several sectors to make activities more effective and artificial intelligence is the driving force in this era, which promises many conveniences in various fields. Based on the results of research entitled "Perceptions and Prospective Analysis of Artificial Intelligence and its impact on Human Resources in the Indonesian Industry 4.0," Human Resources in Industry is a crucial variable in changes in Indonesia's movement to prepare for industry 4.0. Industry 4.0 can be interpreted as an industrial era in which all entities or devices within it are made able to communicate with each other in real time at any time by utilizing internet technology, in order to achieve the goal of creating new value or optimizing existing value from every process in the industry. . The results of the pre-test and post-test on 8 respondents showed an increase after the pre-test of 87.5%, which was dominated by housewives in the digital entrepreneurship strategy workshop. Based on the results of 2 studies, it was found that there is a need for training that can apply digital technology to help them professionally by adapting to the demands of industry 4.0 and the role of university teaching staff to engage with the community in empowerment who have experience not only as academics, but also as practitioners who have pedagogical, professional and social competency abilities so that they attract more interest.

Pengaruh Pemasaran Media Sosial terhadap Keterlibatan Pelanggan (Survei pada Pengguna Halodoc di Indonesia) Ramadhani, Alif Ridha; Fauzi , Mochamad Ardan; Abdullah, Muhammad Mufti; Maesaroh, Syti Sarah; Herdiana, Oding
Jurnal Teknologi Terpadu Vol 9 No 1 (2023): Juli, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v9i1.622

This study was conducted to obtain information about the magnitude of the influence of social media marketing on customer engagement. Social media marketing (X) is the independent variable, and customer engagement (Y) is the dependent variable in this study. Followers on the Halodoc Instagram account were selected to be the population in this study, and the sample was taken randomly (simple random sampling), with 120 respondents successfully obtained. The SEM method is used to analyze data with the help of IBM SPSS AMOS 21 software for Windows in the data processing. The results of data processing illustrate that there is an influence of social media marketing on customer involvement of (0.931) with a p-value (0.002) <0.05. Artificial Intelligence-Analitycs for social media is a tool for efforts to increase the competitiveness of official Instagram managers for a business against competitors owned by analyzing content optimization through various services in the form of statistics and metrics from Artificial Intelligence-Analitycs providers, which are generally website-based. The author's recommendation for Halodoc is to increase closeness with customers so that their bonds become stronger through planning content that is useful for the community and packaged attractively. Later it is hoped that there will be more user-generated content or posting word-of-mouth recommendation comments from customers to other customers.

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