LPPM - STMIK WIDURI (E-Journals)
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PENERAPAN SISTEM REKOMENDASI CONTENT BASED FILTERING PADA PEMILIHAN SKINCARE DI CAMELIA
Full text linkSkincare is a vital activity to maintain or improve the condition of facial skin. In Indonesia, skincare trends continue to grow due to various factors such as skin problems, technological advances, research on certain substances, and increasing awareness of the importance of maintaining healthy skin. Camelia skincare, a skincare store that has a website that displays many products on the camelia website without any search or recommendation system, making it difficult for visitors to choose the right product. Therefore, researchers want to build a skincare product recommendation system based on product data on the website using the content-based filtering method and the naïve bayes algorithm for calculating the similarity value. This research uses primary and secondary data from existing data on the website. The development method used is the Agile Software Development method. The agile software development method has several stages, namely planning, implementation, testing, documentation, deployment and maintenance. In conducting the research, researchers used the observation method by looking at existing data on the camelia website. As for the resulting features themselves are skincare search, skincare list, skincare details, and also skincare recommendations. For testing the system itself using the recall and precision table method. And from these tests, the average percentage of recall value is 89% and the percentage of precision value is 96%. ABSTRAKSkincare merupakan kegiatan vital untuk menjaga atau memperbaiki kondisi kulit wajah. Di Indonesia, tren perawatan kulit terus berkembang karena berbagai faktor seperti permasalahan kulit, kemajuan teknologi, penelitian terhadap zat tertentu, dan meningkatnya kesadaran akan pentingnya menjaga kesehatan kulit. Camelia skincare, toko perawatan kulit yang memiliki website yang menampilkan banyak produk di website camelia tanpa ada sistem pencarian ataupun rekomendasi sehingga menyulitkan pengunjung dalam memilih produk yang sesuai. Oleh karena itu, peneliti ingin membangun sistem rekomendasi produk skincare berdasarkan data produk pada website tersebut dengan menggunakan metode content based filtering dan algoritma naïve bayes untuk perhitungan nilai similarity. Penelitian ini menggunakan data primer dan sekunder dari data yang ada pada website. Metode pengembangan yang digunakan adalah metode Agile Software Development. Metode pengembangan sistem agile software development memiliki beberapa tahapan, yaitu planning, implementation, testing, documentation, deployment dan maintenance. Pada pelaksanaan penelitian, peneliti menggunakan metode observasi dengan melihat data yang sudah ada pada website camelia. Sedangkan untuk fitur yang dihasilkan sendiri adalah pencarian skincare, list skincare, detail skincare, dan juga rekomendasi skincare. Untuk pengujian sistemnya sendiri menggunakan metode tabel recall dan precision. Dan dari pengujian tersebut didapatkan rata-rata prosentase nilai recall yaitu 89% dan prosentase nilai precision yaitu 96%
DEVELOPMENT OF ASSET INVENTORY MANAGEMENT INFORMATION SYSTEM USING THE DELONE AND MCLEAN SUCCESS MODEL APPROACH
Full text linkBecause the number of devices is very large, more than 9000 devices, a tiered process is needed in the distribution of these devices to provide accurate data and smooth distribution. Currently, the device distribution process used by employees is still not good, due to the lack of proper integration and coordination between employees, asset admins, and IT regarding the use and maintenance of these devices. Every year, there is always a system for replacing (updating) employee devices, which causes asset admins and IT to have difficulty in carrying out their tasks, often hindering the device distribution data process and making manual recording an alternative. In this case, manual data recording often gets lost or misplaced and is not recorded in the system. The business process of asset inventory data management is not up-to-date. To improve the existing Asset Inventory Management system, the development of a new web-based asset inventory system is needed, which is expected to assist in the management activities of the company's asset inventory until its implementation. The measurement or testing of the Delone and McLean (2003) success model displays the contribution of the Information System renewal based on the quality dimensions of the updated model. Based on the analysis results, the data is classified into five main categories: Very Good (84.01% - 100%), Good (68.01% - 84.00%), Fair (52.01% - 68.00%), Poor (36.01% - 52.00%), and Very Poor (20.00% - 36.00%). This classification provides a clear picture of the distribution of values or performance, making it possible to evaluate and identify the level of success or the need for improvement in various analyzed aspects. Thus, this table serves as a guide in prioritizing and making data-based decisions.ABSTRAKKarena jumlah perangkat yang sangat besar lebih dari 9000 perangkat, membutuhkan tingkatan proses dalam pendistribusian perangkat – perangkat tersebut untuk menyajikan data yang akurat dan kelancaran pendistribusian perangkat. Pada saat ini, proses pendistribusian perangkat yang digunakan oleh karyawan masih kurang baik, karena masih kurangnya kordinasi yang belum terintegrasi secara benar antara karyawan, Admin aset, IT mengenai penggunaan dan pemeliharaan perangkat tersebut. Dalam setiap tahunya selalu terjadi sistem pergantian perangkat (pembaharuan perangkat) karyawan, Hal ini mengakibatkan admin aset dan IT kesulitan dalam melaksanakan pekerjaanya, sehingga sering terhambat dalam proses pendataan distribusi perangkat dan menjadikan pencatatan manual menjadi alternatifnya. Dalam hal ini pendataan yang manual sering kali hilang atau terselip dan belum tercatat disistem. Proses bisnis pendataan persediaan asset yang kurang terupdate. Untuk memperbaiki proyak sistem Asset Inventory Management yang sudah berjalan selama ini dibutuhkan pengembangan sistem asset inventory yang baru berbasis website, yang diharapkan mampu membantu aktivitas pengelolaan Asset inventory perusahaan sampai dengan implementasinya. Pengukuran atau pengujian model kesuksesan Delone and McLean (2003), menampilkan kontribusi pembaharuan Sistem Informasi berdasarkan dimensi kualitas model yang diperbaharui. Berdasarkan hasil analisis, data diklasifikasikan ke dalam lima kategori utama, yaitu Sangat Baik (84,01% - 100%), Baik (68,01% - 84,00%), Cukup (52,01% - 68,00%), Kurang (36,01% - 52,00%), dan Sangat Kurang (20,00% - 36,00%). Klasifikasi ini memberikan gambaran yang jelas tentang distribusi nilai atau performa, sehingga dapat digunakan untuk mengevaluasi dan mengidentifikasi tingkat keberhasilan atau kebutuhan perbaikan dalam berbagai aspek yang dianalisis. Dengan demikian, tabel ini berfungsi sebagai panduan dalam penentuan prioritas dan pengambilan keputusan berbasis data
PENGEMBANGAN SISTEM INFORMASI PRESENSI BERBASIS ANDROID DENGAN TEKNOLOGI PENGENALAN WAJAH DAN GEOLOKASI UNTUK OPTIMALISASI PENGELOLAAN KEHADIRAN KARYAWAN
Full text linkThis study aims to develop an Android-based attendance information system by integrating facial recognition and geolocation technologies to enhance the accuracy and efficiency of employee attendance management. Facial recognition technology offers advantages in preventing fraud, such as proxy attendance, while geolocation ensures attendance can only be recorded at predefined locations. The research employs the Research and Development (R&D) method, including stages such as needs analysis, system design, application development, testing, and implementation. The results show that facial recognition achieves an average accuracy of 85.75%, with reduced performance under low-light conditions or when employees wear masks. The geolocation feature achieves an accuracy of 91.5% within a 30-meter radius, minimizing attendance from unauthorized locations. Attendance time per employee decreased from 50 seconds (manual) to 25 seconds (digital), improving efficiency by 50%. Employee attendance increased from 85% to 95%, with 100% elimination of proxy attendance cases. This system significantly improves attendance management, providing a more effective, transparent, and accurate process that positively impacts employee productivity and discipline
PRODUK KOSMETIK HALAL DENGAN PENDEKATAN PUSH PULL AND MOORING GUNA MENINGKATKAN SWITCHING INTENTION
Full text linkHalal cosmetic products have become a major focus in the global beauty industry in response to increasing consumer demand for halal and safe products. This study analyzes effective marketing strategies using push, pull, and mooring approaches to increase consumer switching intentions to halal cosmetic products. The ‘push’ approach involves actively promoting products to consumers through social media, advertising, and campaigns that emphasize the benefits of halalness, quality, and safety. On the other hand, the ‘pull’ strategy focuses on creating product appeal through formulation innovation, attractive packaging, and consumer testimonials that strengthen trust in the halalness and superiority of the product. In addition, the ‘mooring’ approach associates halal cosmetic products with values that are relevant to consumers, such as environmental awareness, sustainability, and awareness of the product’s goodness for the skin. The results of the study show that the combination of push, pull, and mooring strategies simultaneously has a significant positive effect on consumer switching intentions to halal cosmetic products. This holistic marketing strategy strengthens consumers’ perceptions of halalness, quality, and added value of the product, triggering a desire to switch from conventional products to halal cosmetic products that are safer and in line with their values
SISTEM MANAJEMEN PENGETAHUAN PADA LEMBAGA PEMASYARAKATAN: STRATEGI, TANTANGAN, DAN MANFAAT
Full text linkThe Technical Implementation Unit (UPT) of the Correctional Institution (Lapas) as part of the judicial system in Indonesia, which carries out a series of tasks and functions mandated by law, faces several issues related to knowledge management due to the work rotation process of each employee working in the correctional institution. The knowledge possessed by each correctional officer, derived from individual skills and experiences, seems to be personally isolated and is carried away along with the transfer of the respective employee's duties. A knowledge management system is seen as a solution to address the problems faced, so in this research, the author attempts to descriptively explain the effective strategies to use, as well as the challenges and benefits in the process of implementing a knowledge management system. The method used in this research is a literature study by utilizing various pieces of literature with similar research topics to be analyzed comprehensively, which can then be used to support ideas and propositions in the study. The research results show that a combinative approach of codification and personalization strategies can optimize the implementation of a knowledge management system, considering several challenges that potentially hinder the implementation process to achieve optimal results and benefits for the organization.ABSTRAKUnit Pelaksana Teknis (UPT) Lembaga Pemasyarakatan (Lapas) sebagai bagian dari sistem peradilan di Indonesia yang mengemban serangkaian tugas dan fungsi yang diamanahkan oleh Undang-Undang mengahadapi beberapa permasalahan terkait pengelolaan pengetahuan yang diakibatkan dari proses rotasi kerja dari setiap pegawai yang bertugas di lembaga pemasyarakatan. Pengetahuan setiap petugas pemasyarakatan yang bersumber dari keterampilan dan pengalaman individu seolah terisolasi secara personal dan akan terbawa seiring pemindahan tugas pegawai yang bersangkutan. Sistem manajemen pengetahuan dipandang sebagai solusi untuk mengatasi permasalahan yang dihadapi sehingga didalam penelitian ini, penulis mencoba menjelaskan secara deskriptif mengenai strategi yang efektif untuk digunakan serta tantangan dan manfaat dalam proses penerapan sistem manajemen pengetahuan. Metode yang digunakan dalam penelitian ini adalah wawancara dan studi pustaka dengan memanfaatkan berbagai literatur dengan topik penelitian sejenis untuk dianalisis secara komprehensif agar kemudian dapat digunakan dalam mendukung gagasan dan proposisi dalam penelitian. Hasil penelitian menujukkan bahwa pendekatan kombinatif dari strategi kodifikasi dan strategi personalisasi dapat mengoptimalkan penerapan sistem manajemen pengetahuan dengan memperhatikan beberapa tantangan yang berpotensi mengganggu proses implementasi agar dapat mendapatkan hasil dan manfaat yang optimal bagi organisasi
SISTEM KEAMANAN DENGAN SENSOR PASSIVE INFRARED RECEIVER (PIR) DAN SOLENOID DOOR LOCK MENGGUNAKAN NODE MCU ESP8266 BERBASIS TELEGRAM
Full text linkHuman needs for a more practical life are met by technological advances, one of which is in the health sector. This is the background of this research. By utilizing NodeMCU and Arduino Uno as microcontrollers for the IoT-based Smart Home system at the DKI Jakarta Health Office, it is hoped that the value of efficiency and security can be achieved through the implementation of an IoT-based Smart Home system. In this study, NodeMCU is used as a microcontroller in an IoT-based smart home system. Telegram Messenger is used in the design of this system as an input or notification medium. The chat input data is read out by the program for verification when the chat comes in. If verification fails, the system does not respond, and the chat input is reprogrammed. Conversely, if the lever is successful, the BOT will respond and send an input signal to the microcontroller to manage. After the microcontroller has processed the input signal, it will send an output signal (On/Off) to the relay, which will then send it to the output components (solenoid door lock, type sensor, and buzzer). take advantage of the technology that is already available by placing a Smart Home system that uses the Internet of Things. Since only those with certain access can control the home, such as viewing type sensors and unlocking doors remotely, IoT-based Smart Home systems are also secure
PENERAPAN DATA MINING UNTUK MEMPREDIKSI STOK OBAT MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS DI APOTEK KLINIK PRATAMA YAKRIJA
Full text linkPharmacies and drug stores are places where consumers can buy medicine. Pharmacies usually have licensed pharmacists who provide advice on medication use, provide consultation services, and fill prescriptions. Drug stores generally provide over-the-counter medicines without a prescription. The drug sales industry refers to the economic sector related to the production, distribution, and sale of drugs. Pratama Yakrija Clinic Pharmacy is located at Jalan Anggrek Rosliana VII No. D24, Kemanggisan, Palmerah District, West Jakarta City. It is a clinical pharmacy that serves various drug and health product needs for patients. As an active pharmacy, Pratama Yakrija Clinical Pharmacy aims to improve service to patients and efficiency in managing drug supplies. Drug sales in pharmacies are often influenced by various factors, such as seasons, health trends, promotions, and changes in consumer behavior. The problem at the Yakrija clinic is that the supply of medicines that are needed by the community are often empty, while medicines that are less needed are in abundance in the warehouse. The unavailability of the medicine needed certainly disappointed the people who at that time really needed the medicine. Meanwhile, an abundance of drugs that are not needed will cause losses because the drugs have expired due to being stored in the warehouse for too long. The aim of the research is to predict the stock of selling and unselling drugs and to determine the level of accuracy of the K-Nearest Neighbors algorithm in predicting drug stock at the Pratama Yakrija clinic pharmacy. The author uses the K-Nearest Neighbors algorithm in this research. By using accurate predictions, Pratama Yakrija Clinical Pharmacy can identify drug sales trends and patterns, and plan more effective marketing strategies. Pharmacies can also avoid losses caused by unsold stock or shortages of drugs that customers are interested in. The research results of the K-Nearest Neighbors algorithm can be used to predict selling and unsold drug stocks and the accuracy level of the K-Nearest Neighbors algorithm is 91.08%.ABSTRAKApotek dan toko obat merupakan tempat-tempat di mana konsumen dapat membeli obat. Apotek biasanya memiliki apoteker yang berlisensi yang memberikan nasihat mengenai penggunaan obat, menjalankan layanan konsultasi, dan mengisi resep obat. Toko obat umumnya menyediakan obat-obatan yang dijual bebas tanpa resep. Industri penjualan obat merujuk pada sektor ekonomi yang terkait dengan produksi, distribusi, dan penjualan obat. Apotek Klinik Pratama Yakrija beralamat di Jalan Anggrek Rosliana VII No. D24, Kemanggisan, Kecamatan Palmerah, Kota Jakarta Barat. Merupakan sebuah apotek klinik yang melayani berbagai kebutuhan obat dan produk kesehatan bagi pasien. Sebagai apotek yang aktif, Apotek Klinik Pratama Yakrija memiliki tujuan untuk meningkatkan pelayanan kepada pasien dan efisiensi dalam pengelolaan persediaan obat. Penjualan obat di apotek seringkali dipengaruhi oleh berbagai faktor, seperti musim, tren kesehatan, promosi, dan perubahan perilaku konsumen. Permasalahan yang ada pada klinik yakrija adalah persediaan obat yang sedang dibutuhkan oleh masyarakat seringkali stoknya kosong sedangkan obat yang kurang dibutuhkan justru stoknya melimpah di gudang. Ketidaktersediaan obat yang dibutuhkan, tentunya membuat kecewa masyarakat yang saat itu sedang sangat membutuhkan obat tersebut. Sedangkan melimpahnya obat yang kurang dibutuhkan akan menimbulkan kerugian karena obat sudah kadaluwarsa akibat terlalu lama tersimpan di gudang. Tujuan penelitian adalah untuk memprediksi stok obat laku dan tidak laku dan untuk mengetahui tingkat akurasi algoritma K-Nearest Neighbors dalam memprediksi stok obat pada apotek klinik pratama yakrija. Algoritma K-Nearest Neighbors yang penulis gunakan pada penelitian ini. Dengan menggunakan prediksi yang akurat, Apotek Klinik Pratama Yakrija dapat mengidentifikasi tren dan pola penjualan obat, serta merencanakan strategi pemasaran yang lebih efektif. Apotek juga dapat menghindari kerugian yang disebabkan oleh stok yang tidak terjual atau kekurangan obat yang diminati oleh pelanggan. Hasil Penelitian algoritma K-Nearest Neighbors dapat digunakan Untuk memprediksi stok obat laku dan tidak laku dan tingkat akurasi algoritma K-Nearest Neighbors adalah sebesar 91,08%
PENGARUH KOMITE AUDIT, KEPEMILIKAN MANAJERIAL, UKURAN PERUSAHAAN, DAN LEVERAGE TERHADAP INTEGRITAS LAPORAN KEUANGAN DENGAN KULITAS AUDIT SEBAGAI VARIABLE MODERASI (STUDI EMPIRIS PADA PERUSAHAAN NON-CYCLICALS DAN CYCLICALS DI BEI PERIODE 2018-2022)
Full text linkThe purpose of this research is to test and share empirical facts regarding the influence of audit committees on theintegrity of financial statements, industrial aspects of management ownership, leverage and audit quality. The purposeof this research is to determine the influence of audit committees, management ownership, industry size and financialreporting integrity with audit quality as a moderating variable The expected results of this research can be summarizedas follows: audit committees have a significant positive influence on the integrity of financial reports; corporateresponsibility has a significant positive effect on the integrity of financial reports, industrial aspects do not have amaterial impact on the completeness of financial reports. Leverage has no significant effect on the integrity of financialreports; Audit quality does not moderate the influence of the audit committee on the integrity of financial reports; Auditquality moderates the influence of corporate responsibility on the integrity of financial reports, audit quality does notmoderate the influence of industry aspects of the completeness of financial reports, audit quality does not moderate theinfluence of leverage on the completeness of financial reports
HUBUNGAN PENGGUNAAN MEDIA SOSIAL DI INDONESIA DENGAN PENDEKATAN COMMUNICATION PRIVACY MANAGEMENT (CPM) GUNA MENINGKATKAN SELF DISCLOSURE ON SOCIAL MEDIA
Full text linkThis research is motivated by the fact that many social media are used very widely in the context of Self Disclosure which can fulfill the emotions of users on social media, but is accompanied by risks that can be detrimental to the user. The aim of this research is to provide knowledge, understanding and information about problems for users of social media platforms (Facebook, Instagram, Twitter (X), Tiktok, Youtube) in Indonesia. A total of 130 respondents participated in the survey who were users or who had used social media in Indonesia. Data were processed and analyzed using SPSS and AMOS using Structural Equation Modeling (SEM)
ANALISIS POSITIONING COFFEE SHOP LOKAL DI WILAYAH JABODETABEK
Full text linkThis research aims to examine the concept of coffee shop brand positioning in Indonesia, namely Kopi Janji Jiwa, Kopi Kenangan, Point Coffee, Kopi Lain Hati, and Kopi Kulo. The data collection method used was by distributing questionnaires online with samples taken using non-probability sampling techniques with purposive sampling to respondents who enjoy 5 coffee shop brands in Indonesia. Descriptive testing is used to analyze the influence of positioning on the coffee shop brand. The data used in this research is primary data obtained from distributing questionnaires to 41 respondents. This research uses cross sectional research, namely a research method carried out over a relatively short time and in a certain place. The data analysis method used in this research is to analyze the attributes owned using the attribute based approach. In this research, three outputs will be produced, namely canonical discriminant function, preference map, as well as market strategy and marketing mix