Abstract:The rapid development of digital marketing has significantly transformed business strategies, particularly for Micro, Small, and Medium Enterprises (MSMEs). Instagram has evolved beyond a social networking platform into…
a strategic marketing tool equipped with analytical features such as Instagram Insight. This study aims to examine the effect of Instagram Insight utilization on consumer purchase decisions at Rumah Madu, an MSME operating in Bandar Lampung, Indonesia.
This research adopts a quantitative approach using a survey method. Data were collected from 92 respondents through structured questionnaires and analyzed using SPSS version 27. The independent variable is the utilization of Instagram Insight, measured through three dimensions: follower demographic analysis, follower active time analysis, and content performance analysis. The dependent variable is consumer purchase decision. Statistical analysis includes validity and reliability testing, classical assumption tests (normality, multicollinearity, and heteroscedasticity), simple linear regression, t-test, F-test, and coefficient of determination (R²).
The results suggest that Instagram Insight functions primarily as an internal strategic evaluation tool rather than a direct determinant of consumer purchasing behavior. This study contributes to the digital marketing literature by highlighting the gap between analytic tool utilization and actual consumer conversion in MSMEs. Practical implications emphasize the need for better data interpretation skills and integrated marketing strategies beyond analytics usage alone.
Abstract:This study aims to investigate the integration of Artificial Intelligence (AI)-based learning media to enhance reading literacy among elementary school students. Using a descriptive qualitative approach through case study…
y and literature analysis, the research was conducted at SDN No. 100311 Palsabolas, involving teachers and students who utilized adaptive reading applications, text-to-speech tools, and intelligent learning platforms. Data were collected through observation, semi-structured interviews, and document analysis, and validated by triangulation techniques. The findings reveal that AI-assisted media significantly improve students’ reading motivation, comprehension, and fluency. Quantitative comparison between pretest and posttest results showed notable progress, with the average literacy score increasing by 16–27 points across different indicators. Students demonstrated greater engagement and independence, while teachers benefited from automated performance analytics and personalized feedback tools. However, challenges emerged related to device limitations, technical competence, and overreliance on automated features. The study concludes that AI-based learning media serve not only as technological tools but also as pedagogical instruments that personalize instruction, foster digital literacy, and transform reading classrooms into more adaptive, interactive, and student-centered environments.
Abstract:The development of technology, especially in social media, is increasingly developing every year, which is commonly used daily by the public with the aim of obtaining information. The approach used in this study is the Social…
ocial Media Analytics (SMA) framework to analyze sentiment using NoLimit Indonesia software. Sentiment Analysis is a measurement of sentiment or emotion of social media users based on content analysis (positive/negative/neutral). This study aims to determine the sentiment analysis using the keywords "contraceptives" and "condoms" on the opinions of social media users regarding the policy of using contraceptives for students and adolescents with a period of one week. The results showed that neutral sentiment was 6,232 X account users, negative sentiment was 359 X account users, and 86 X account users were in a negative position. The conclusion of the study is that the response of social media X users was more neutral at 93%, 5.4% negative and 1.3% positive towards the policy on the use of contraceptives for teenagers or students in regulation 28 of 2024 concerning the Implementing Regulations of Law (UU) Number 17 concerning health which includes several health programs including in the reproductive system in article 103, especially in paragraph (4) point e, namely the provision of contraceptives, this is what is problematic and invites public attention
Abstract:The advancement of digital technology has accelerated the adoption of Artificial Intelligence (AI) in e-counseling services to enhance the accessibility and efficiency of psychological support. While offering numerous benefits,…
nefits, the use of AI also presents challenges related to the quality of therapeutic relationships, privacy, data security, and ethical considerations. This study aims to analyze the role of AI, its impacts, and the ethical challenges emerging in e-counseling services through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar, GARUDA, ScienceDirect, SAGE Journals, and Crossref, covering publications from 2018 to 2026. The review of 13 selected articles revealed that AI serves as a supportive tool through chatbots, data analytics, preliminary assessments, and automated response systems that help expand access to counseling services and improve service responsiveness. The implementation of AI contributes positively by increasing efficiency and accessibility; however, it remains limited in understanding emotions, demonstrating empathy, and comprehending clients’ psychological contexts. The findings also indicate that privacy, data security, algorithmic transparency, and accountability constitute the primary ethical challenges that require careful attention. This study concludes that AI is more appropriately positioned as a complement to counselors rather than a substitute for human counselors. The novelty of this study lies in its integrated analysis of the roles, impacts, and ethical challenges of AI within a single framework, thereby providing a more comprehensive understanding of the development of e-counseling based on collaborative interaction between technology and professional counselors.
Efendi, Syahril, Fauzan Nurahmadi, Fuzy Yustika Manik, Seniman, T. Henny Febriana Harumy, Ivan Jaya, Yeni Absah, Muhammad Romi Syahputra, Liana Dwi Sri Hastuti, Pauzi Ibrahim Nainggolan, Tulus Joseph Herianto, Dewi Sartika Br Ginting, Yudhistira
Abstract:Abstract: The digital transformation of village administration has become an urgent need to enhance public service efficiency and ensure transparent local governance. This study analyzes the implementation of the Village…
Information System (SID) in Kuta Mbelin Village, STM Hulu Subdistrict, Deli Serdang Regency, as a mechanism for supporting administrative digitalization. It also evaluates the role of information technology in village governance and the integration of village statistical data within the framework of the Sustainable Development Goals (SDGs). The research employs a combination of literature review, field observation, and interviews with village officials and community members. The findings indicate that the adoption of SID in Kuta Mbelin Village improves administrative efficiency, accelerates public service delivery, and enables evidence-based data management that supports sustainable village development planning. This study recommends enhancing SID by integrating data analytics and strengthening information security to maximize its usefulness in village governance.
Keywords: village digitalization; village information system; governance; SDGs; kuta mbelin village
Abstrak : Transformasi digital dalam administrasi desa menjadi kebutuhan mendesak guna meningkatkan efisiensi layanan publik dan tata kelola pemerintahan yang transparan. Penelitian ini menganalisis implementasi Sistem Informasi Desa (SID) di Desa Kuta Mbelin, Kecamatan STM Hulu, Kabupaten Deli Serdang, dalam mendukung digitalisasi administrasi desa. Studi ini juga mengevaluasi peran teknologi informasi dalam tata kelola pemerintahan desa serta integrasi data statistik desa dalam perspektif Sustainable Development Goals (SDGs). Metode penelitian yang digunakan meliputi studi literatur, observasi lapangan, dan wawancara dengan perangkat desa serta masyarakat. Hasil penelitian menunjukkan bahwa penerapan SID di Desa Kuta Mbelin meningkatkan efisiensi administrasi, mempercepat pelayanan publik, dan memungkinkan pengelolaan data berbasis bukti yang mendukung perencanaan pembangunan desa berkelanjutan. Studi ini merekomendasikan optimalisasi SID dengan integrasi analitik data dan keamanan informasi untuk meningkatkan daya guna dalam tata kelola desa.
Kata Kunci: digitalisasi desa; sistem informasi desa; tata kelola pemerintahan; SDGs; desa kuta mbelin
Abstract:Abstract: Sinar Jaya store is a store that sells fire extinguishers in Medan city. In majority, this store still serves transactions by accepting customer to the store directly. Since the COVID-19 pandemic has lasted for…
so long, this store has begun to explore technology by utilizing Instagram as social media and having a website which can be accessed via www.sinarjayamedan.com as a medium to introduce the store, market the products digitally and increase business legitimacy. However, existing web pages must be optimized further to improve the ability of Toko Sinar Jaya in response to marketing needs. The measurement results using 2 (two) Search Engine Optimization (SEO) measurement websites show an average score of 61,5 out of a scale of 100. Thus, this community service activity is aimed at increasing this SEO score. SEO activities are carried out by using the on-page SEO method on existing web pages and continued with Content Management training for off-page SEO implementation. On-page SEO is carried out with activities including the installation of the Yoast SEO plugin, keyword research, visibility and permalink settings, Google Search Console, Google Analytics, sitemap generator and schema markup. The SEO score then increased significantly from 61,5 to 74,5.
Keywords: inbound marketing; micro, small and medium enterprise; search engine optimization (SEO)
Abstrak: Toko Sinar Jaya merupakan toko yang menjual alat-alat pemadam kebakaran di kota Medan. Secara mayoritas, toko ini masih melayani transaksi langsung dengan menerima kedatangan pelanggan ke toko. Sejak pandemi COVID-19 yang berlangsung telah begitu lama, toko ini mulai mengeksplorasi teknologi dengan memanfaatkan media sosial Instagram dan memiliki website yang bisa diakses lewat www.sinarjayamedan.com sebagai media untuk memperkenalkan toko, memasarkan produk secara digital dan meningkatkan legitimasi bisnis. Namun demikian, laman web yang ada harus dioptimalkan lagi untuk lebih meningkatkan kemampuan Toko Sinar Jaya dalam menjawab kebutuhan pemasaran. Hasil pengukuran menggunakan 2 (dua) website pengukuran Search Engine Optimization (SEO) masih menunjukkan rata-rata skor 61,5 dari skala 100. Kegiatan pengabdian kepada masyarakat ini ditujukan untuk meningkatkan skor SEO ini. Kegiatan SEO dilakukan secara on-page terhadap laman web dan dilanjutkan dengan pelatihan Content Management untuk implementasi SEO secara off-page. SEO on-page dilakukan dengan kegiatan meliputi Instalasi plugin Yoast SEO, keyword research, visibility and permalink setting, Google Search Console, Google Analytics, sitemap generator dan schema markup. Skor SEO kemudian meningkat dengan cukup signifikan dari angka 61,5 menjadi 74,5.
Kata kunci: inbound marketing; search engine optimization (SEO); usaha mikro, kecil dan menengah (UMKM)
Abstract:Abstract: Question classification is a computer science system, which aims to analyze questions and can label each question based on existing categories. Questions can be collected from several materials or topics that are…
re many and different. Therefore, the researcher intends to create a classification system for quiz questions Data Warehouse and Business Intelligence which can be grouped into topics Data Warehouse, Business Intelligence, Data Analytics, and Performance Measurement. One way to solve this problem is by approach machine learning. In this study, researchers used a comparison of machine learning algorithms, namely the algorithm NaïveBayes and SupportVectorMachine using SMOTE and methods Cross-Validation The results of this study show the best accuracy results and are very helpful. The results obtained in the method cross-validation before SMOTE resulted in an accuracy rate of 82.02% for the results after going through the SMOTE stage of 94.79% on the algorithm Naïve Bayes, while the algorithm SupportVectorMachine get accuracy of 81.39% in the process before SMOTE for the results after going through SMOTE of 96.52%.
Keywords: Cross-Validation; Machine Learning; Naive Bayes; Support Vector Machine; Question Classification
Abstrak: Klasifikasi pertanyaan merupakan sebuah sistem ilmu komputer, yang bertujuan untuk menganalisis pertanyaan serta dapat memberi label pada setiap pertanyaan berdasarkan kategori yang ada. Pertanyaan soal dapat dikumpulkan dari beberapa materi atau topik yang banyak dan berbeda. Oleh karena itu, bermaksud untuk membuat sistem klasifikasi pertanyaan soal kuis Data Warehouse dan Business Intelligence yang dapat dikelompokkan menjadi topik Data Warehouse, Business Intelligence, Data Analitik, dan Pengukuran Kinerja. Cara yang dapat dilakukan untuk permasalahan ini dengan menggunakan pendekatan MachineLearning. Pada penelitian kali ini menggunakan perbandingan algoritma MachineLearning yaitu algoritma NaïveBayes dan SupportVectorMachine menggunakan metode SMOTE dan Cross-Validation. Hasil penelitian ini menunjukkan hasil akurasi yang terbaik dan sangat membantu. Hasil yang diperoleh pada metode cross-validation sebelum SMOTE menghasilkan tingkat akurasi sebesar 82.02% untuk hasil sesudah melalui tahap SMOTE sebesar 94.79 % pada algoritma Naïve Bayes, sedangkan pada algoritma Support Vector Machine menghasilkan akurasi sebesar pada proses sebelum SMOTE 81.39% untuk hasil sesudah melalui SMOTE sebesar 96.52%.
Kata kunci: Klasifikasi Pertanyaan; Pembelajaran Mesin; Naive Bayes; Support Vector Machine; Cross-Validation
Abstract:This study investigates the dynamic marketing and communication strategies used by PT. Gojek Indonesia to strengthen its consumer base. As one of Southeast Asia's leading technology-based platforms, Gojek has rapidly expanded…
anded its services beyond ride-hailing to include food delivery, digital payments, and more. This research uses a qualitative approach, combining interviews, case studies, and industry analysis to dissect the multifaceted strategy implemented by Gojek. This study explores Gojek's proficient use of digital channels and social media to drive consumer engagement. By analyzing consumer behavior and preferences, the study explains how Gojek tailors its marketing messages to resonate with diverse target audiences. In addition, this study examines the role of strategic partnerships and collaborations in strengthening Gojek's market presence and attracting new consumers. Furthermore, the study explores the impact of innovative features and services introduced by Gojek, such as loyalty programs and seamless user interfaces, on customer acquisition and retention. The study identifies the critical role of data analytics in shaping personalized marketing campaigns that appeal to specific consumer segments. The findings from this study contribute to a broader understanding of effective marketing and communication strategies in technology-based service industries. The insights derived from Gojek's approach provide valuable lessons for businesses looking to navigate a competitive market and expand their consumer base through strategic marketing initiatives.
Abstract:The rapid advancement of digital technologies has fundamentally restructured the nature of work and transformed the roles, practices, and strategies of Human Resource Management (HRM). This article presents a systematic…
review of HRM challenges and opportunities within digital workplace environments, drawing on peer-reviewed literature published between 2015 and 2024. Five core dimensions of digital HRM transformation are examined: technology-based talent acquisition, remote and hybrid workforce management, continuous digital competency development, people analytics and data-driven decision-making, and the ethics of algorithmic management. The findings reveal that while digitalization enhances HR efficiency and organizational agility, it simultaneously introduces complex challenges related to employee well-being, digital equity, and data privacy. This article further proposes the Digital HRM Maturity Model as a conceptual framework offering organizations a structured pathway toward sustainable, human-centered digital transformation. Managerial implications and future research directions are discussed accordingly.
Abstract:Transformasi digital telah menjadi salah satu agenda strategis utama dalam pengelolaan sumber daya manusia (SDM) di berbagai organisasi, terutama di tengah dinamika lingkungan bisnis yang semakin kompetitif dan berbasis…
teknologi. Perkembangan teknologi seperti Human Resource Information System (HRIS), Human Resource Analytics, Artificial Intelligence (AI), dan automasi proses administrasi telah mendorong perubahan signifikan dalam cara fungsi Human Resources (HR) menjalankan perannya. Penelitian ini bertujuan untuk menganalisis penerapan teknologi digital dalam praktik HR serta dampaknya terhadap peningkatan kinerja SDM. Pendekatan penelitian yang digunakan bersifat deskriptif-analitis dengan memadukan studi literatur dan temuan empiris dari berbagai organisasi yang telah mengimplementasikan solusi digital dalam manajemen SDM. Hasil analisis menunjukkan bahwa penerapan teknologi digital mampu memberikan efisiensi operasional, peningkatan akurasi data, dan percepatan proses kerja dalam fungsi HR, seperti rekrutmen, pelatihan, penilaian kinerja, dan manajemen talenta. HR Analytics berperan penting dalam pengambilan keputusan berbasis data, sehingga organisasi dapat mengidentifikasi kebutuhan kompetensi, memprediksi potensi turnover, serta meningkatkan efektivitas program pengembangan karyawan. Sementara itu, penggunaan AI dalam proses rekrutmen dan manajemen kinerja memberikan nilai tambah berupa objektivitas dan konsistensi dalam evaluasi. Namun, penelitian ini juga menemukan bahwa keberhasilan transformasi digital tidak hanya bergantung pada teknologi, tetapi juga pada kesiapan organisasi, kompetensi SDM, budaya kerja, serta dukungan manajemen puncak. Tantangan seperti resistensi terhadap perubahan, keterbatasan keterampilan digital, dan integrasi sistem masih menjadi hambatan dalam implementasi optimal. Secara keseluruhan, penelitian ini menegaskan bahwa transformasi digital dalam praktik HR merupakan strategi penting untuk meningkatkan kinerja SDM dan daya saing organisasi. Implementasi teknologi yang tepat, didukung oleh tata kelola perubahan yang efektif, menjadi kunci keberhasilan dalam mewujudkan HR yang lebih adaptif, efisien, dan berbasis data.