Abstract:This study aims to assess and analyze whether the marketing strategy STP (Segmentation, targets, and position) to the level of sales has been implemented by Upnormal Coffee Beach in Palu which has reached more than one year…
ear (2021- 2022). This type of research is quantitative descriptive. The population in this study were all employees of Upnormal Coffee while the sample of this research is all employees of Upnormal Coffee as many as 36 employees as respondents using saturation sampling, the sampling technique when all members of the population were used as a sample. The data collection techniques were performed by means of a questionnaire conducted interviews and questionnaires. Based on the results of this study with multiple linear regression analysis, regression equation Y = 8,944+ 0.164 X1 + 0.061 X2 + 0,032 X3 + e. Basedonn statistical analysis data, the indicators in this study is valid and the variables are reliable. In the classical assumption, in said that indicator otherwise normal distribution and correlation Linear in significance between each independent variable and the dependent variable, to the amount of influence Segmentation, Targeting and Positioning are all having a positive direction and not significant in their influence on the level of sales in Upnormal Coffee in the city of Palu
Abstract:Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan…
babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data.
New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies.
Abstract:This study aims to analyze consumer segmentation in the traditional culinary business of a Madurese duck rice and fried chicken restaurant in Konawe Regency. This study used a descriptive qualitative method with data collection…
lection techniques including interviews, observation, and documentation. Informants consisted of the owner, employees, and customers who had visited the restaurant two or more times. The analysis was conducted based on four types of market segmentation: geographic, demographic, psychographic, and behavioral. The results of this study indicate that this restaurant has a fairly broad market segment, encompassing both local and out-of-town customers, with consumers predominantly students, office workers, and families. Authentic taste, affordable prices, and fast service are the main factors attracting customers. Geographic segmentation indicates potential for expansion due to the increase in out-of-town visitors on weekends. Demographic and psychographic segmentation indicate that customers have a high interest in traditional, spicy dishes. Behavioral segmentation indicates the presence of loyal customers and repeat purchasing patterns. These findings provide important recommendations for businesses to develop more effective marketing strategies tailored to the characteristics of their target market.
Abstract:This study aims to analyze the role of Personal Innovativeness in influencing the actual use of the MyTelkomsel application through an extended Technology Acceptance Model (TAM). In this model, Personal Innovativeness is…
positioned as a core construct that influences three key user perceptions: Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment. A total of 355 respondents participated in the study, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that seven out of eight hypothesized paths between constructs in the model demonstrate statistically significant effects. The only non-significant relationship is found between Perceived Ease of Use and Attitude Toward Use, suggesting that ease of use is no longer a major determinant of user attitudes toward digital applications, possibly because it is now perceived as a basic standard in technology usage. Conversely, Personal Innovativeness consistently exerts a significant influence on all three key perceptions, which in turn affect users’ attitudes, intentions, and actual behaviors. These results underscore the strategic role of innovative personal characteristics in driving adoption and active engagement with digital applications. The practical implications highlight the importance of user segmentation based on innovation levels, the development of enjoyable features, and the refinement of user experience to promote sustained engagement within digital ecosystems such as MyTelkomsel.
Abstract:System chatbot at the Kominfo service agency that will help process sentences based on keywords or phrases to get the desired information to facilitate service. The customer service agent system is divided into 3 parts,…
namely responder, classifier, and graphmaster. Responder is the part that connects the bot with the user. The task of the responder is to transfer data from the user to the classifier and control the input and output. The classifier is the part that filters and normalizes the input and performs segmentation of the sentences that have been inputted. Graphmaster is the part that matches the input pattern to the facts that have been created.
Abstract:The use of smartphones in Indonesia has been steadily increasing each year. In the era of the Fourth Industrial Revolution, smartphones have become a lucrative business sector, leading to intense market competition. Consequently,…
equently, smartphone companies must pay closer attention to the market segmentation desired by consumers. Data mining is the process of discovering significant relationships and patterns by analyzing large datasets using statistical and mathematical techniques. This study aims to identify and analyze the market segments of Android smartphone users among students at STMIK Royal. The data used in this research were collected from 122 student respondents. The study employs clustering using the K-means algorithm. The resulting data modeling will categorize market segments into several clusters. This segmentation yields three clusters: Cluster 1 (features), consisting of 36 respondents who prioritize price, battery, camera, and warranty; Cluster 2 (product), with 49 respondents who value all attributes except warranty; and Cluster 3 (superiority), comprising 37 respondents who prioritize camera, brand, and RAM.
Abstract:Reading proficiency is a fundamental skill in primary education; however, children with special needs classified as slow learners often face significant challenges in developing early reading abilities due to limitations…
in phonological processing. This study aims to examine the effectiveness of the phonic method in improving the reading skills of slow learners through a structured intervention approach. The central research problem addresses how the phonic method can be appropriately adapted to overcome reading difficulties in children with learning delays. The subject of this study was a fifth-grade elementary school student who exhibited marked delays in recognizing letter sounds, constructing words, and understanding simple sentence structures. A case study approach was employed, involving a six-session individualized intervention designed in gradual stages. Each session focused on developing phonological skills, including phoneme identification, blending sounds into syllables, phoneme segmentation, and the introduction of complex patterns such as digraphs and diphthongs. The results demonstrated significant improvement in the subject’s reading ability, evidenced by increased accuracy in letter-sound recognition, reading simple words, and constructing short sentences. Although minor errors in pronunciation and word structure persisted, the subject’s consistent progress throughout the intervention confirmed the phonic method as an effective and applicable approach to teaching reading to slow learners. In conclusion, the phonic method successfully addressed phonological barriers through strategies tailored to the learner’s cognitive profile. The novelty of this study lies in its implementation of the phonic method as a step-by-step phonological intervention model within the context of inclusive primary education an area that remains underexplored and underutilized in both educational practice and research in Indonesia.
Abstract:Abstract: Anomalous sound detection is essential for industrial predictive maintenance, as machine failures often originate from subtle acoustic changes during operation. However, high background noise and limitations of…
conventional Convolutional Neural Networks (CNN) reduce detection reliability. This study proposes a 1D-CNN-based anomaly detection framework with multi-view feature fusion and temporal segmentation to enhance detection performance. The approach combines MFCC, Log-Mel Spectrogram, and Chroma STFT features, while temporal segmentation divides audio signals into 5-second segments to better capture transient anomalies. Experiments on the MIMII dataset under varying Signal-to-Noise Ratio (SNR) conditions show that MFCC and Log-Mel fusion achieves the best performance, with 97.90% accuracy and ROC-AUC of 0.9789. The model maintains accuracy above 90% at −6 dB, demonstrating strong robustness in noisy industrial environments.
Keywords: industrial anomaly detection; 1D-CNN; multi-view feature fusion; temporal segmentation; MIMII dataset.
Abstrak: Deteksi anomali suara merupakan komponen penting dalam sistem pemeliharaan prediktif industri, karena kegagalan mesin sering diawali oleh perubahan akustik yang bersifat halus selama proses operasi. Namun, tingkat kebisingan yang tinggi serta keterbatasan arsitektur Convolutional Neural Network (CNN) konvensional dapat menurunkan keandalan deteksi. Penelitian ini bertujuan mengusulkan kerangka deteksi anomali berbasis 1D-CNN yang mengintegrasikan strategi fusi fitur multi-view dan segmentasi temporal untuk meningkatkan kinerja deteksi. Pendekatan yang digunakan menggabungkan fitur MFCC, Log-Mel Spectrogram dan Chroma STFT, sementara teknik temporal splitting membagi sinyal audio menjadi segmen berdurasi 5 detik untuk menangkap anomali yang bersifat sementara. Eksperimen menggunakan dataset MIMII pada berbagai kondisi Signal-to-Noise Ratio (SNR) menunjukkan bahwa kombinasi MFCC dan Log-Mel Spectrogram menghasilkan kinerja terbaik dengan akurasi 97,90% dan ROC-AUC sebesar 0,9789. Model juga mempertahankan akurasi di atas 90% pada kondisi kebisingan ekstrem (−6 dB) yang menunjukkan ketahanan yang baik dalam lingkungan industri yang bising.
Kata kunci: deteksi anomali industri; 1D-CNN; fusi fitur multi-view; segmentasi temporal; dataset MIMII
Abstract:Abstract: The development of globalization and digitalization requires businesses to not only focus on product quality, but also on the ability to build and maintain long-term relationships with customers. Customer loyalty…
ty has become a strategic asset that influences business sustainability and competitiveness. Handmade Willy, a creative business engaged in the production and sale of handicrafts, faces various problems in customer management, such as difficulties in identifying customer preferences, limitations in ongoing communication, suboptimal customer segmentation, and the absence of a structured system for monitoring customer satisfaction and feedback. These problems have an impact on the ineffectiveness of marketing strategies and the potential decline in customer loyalty. This study aims to optimize customer relationships at Handmade Willy through the application of the Customer Relationship Management (CRM) concept. The research method used is descriptive analysis with a qualitative approach through data collection from observation, interviews, and literature studies. The blackbox testing results show that the system runs smoothly without any obstacles. The implementation of CRM helps Handmade Willy understand customer characteristics and preferences, perform more accurate segmentation, improve communication effectiveness, and systematically monitor customer satisfaction.
Keyword: customer loyalty; customer relationship management; handmade willy.
Abstrak: Perkembangan era globalisasi dan digitalisasi menuntut pelaku usaha untuk tidak hanya berfokus pada kualitas produk, tetapi juga pada kemampuan membangun dan mempertahankan hubungan jangka panjang dengan pelanggan. Loyalitas pelanggan menjadi aset strategis yang berpengaruh terhadap keberlanjutan dan daya saing bisnis. Handmade Willy sebagai usaha kreatif yang bergerak di bidang produksi dan penjualan kerajinan tangan menghadapi berbagai permasalahan dalam pengelolaan pelanggan seperti kesulitan dalam mengidentifikasi preferensi pelanggan, keterbatasan komunikasi berkelanjutan, belum optimalnya segmentasi pelanggan serta belum adanya sistem yang terstruktur untuk memantau kepuasan dan umpan balik pelanggan. Permasalahan tersebut berdampak pada kurang efektifnya strategi pemasaran dan potensi penurunan loyalitas pelanggan. Penelitian ini bertujuan untuk mengoptimalkan hubungan pelanggan pada Handmade Willy melalui penerapan konsep Customer Relationship Management (CRM). Metode penelitian yang digunakan adalah analisis deskriptif dengan pendekatan kualitatif melalui pengumpulan data observasi, wawancara dan studi literatur. Hasil pengujian blackbox menunjukkan sistem yang dibuat berjalan dengan lancar tanpa ada kendala. Dengan penerapan CRM mampu membantu Handmade Willy dalam memahami karakteristik dan preferensi pelanggan, melakukan segmentasi yang lebih tepat, meningkatkan efektivitas komunikasi serta memantau kepuasan pelanggan secara sistematis.
Kata kunci: customer relationship management; kerajinan tangan willy; loyalitas pelanggan.
Abstract:Abstract: Brain cancer is a serious medical condition that requires intensive and meticulous care. One of the critical steps in identifying brain cancer is the accurate measurement of tumor volume. Magnetic Resonance Imaging…
ging (MRI) is one of the most important diagnostic tools used in the medical field for brain visualization. In this discussion, we will explain how the Active Contour method can be used to calculate brain tumor volume in MRI images and how 3D visualization can assist doctors in making better diagnoses and treatment decisions. The Active Contour method, also known as the “Snake,†is an image processing technique used to identify the contours or edges of objects in images. This method works by defining an initial curve around the desired object and then iteratively shifting the curve to match the actual contour of the object in the image. In this study, the Active Contour method will be applied to brain MRI images to identify tumor edges. This research represents an important step in improving the care of brain cancer patients, enabling more accurate diagnoses and more effective treatments
Keywords: active contour; brain cancer diagnosis; 3D visualization; tumor volume
Abstrak: Kanker otak merupakan kondisi medis yang bersifat serius dimana memerlukan perawatan yang intensif dan teliti. Salah satu langkah penting dalam mengidentifikasi kanker otak adalah dengan mengukur volume tumor secara akurat. Citra Magnetic Resonance Imaging (MRI) adalah salah satu alat diagnostik yang paling penting dalam bidang medis yang digunakan untuk visualisasi otak. Dalam pembahasan ini, akan dijelaskan bagaimana metode Active Contour dapat digunakan untuk menghitung volume tumor otak pada citra MRI dan bagaimana visualisasi 3D dapat membantu dokter dalam diagnosis dan perawatan yang lebih baik. Metode Active Contour, juga dikenal sebagai “Snake,†yaitu teknik pengolahan citra yang digunakan untuk mengidentifikasi kontur atau tepi objek dalam citra. Metode ini bekerja dengan mendefinisikan suatu kurva awal di sekitar objek yang diinginkan dan kemudian menggeser kurva tersebut secara iteratif untuk menyesuaikan dengan kontur objek yang sesungguhnya dalam citra. Dalam penelitian ini, metode Active Contour akan diterapkan pada citra MRI otak untuk mengidentifikasi tepi tumor. Penelitian ini merupakan langkah penting dalam meningkatkan perawatan pasien yang terkena kanker otak dan memungkinkan diagnosis yang lebih tepat dan perawatan yang lebih efektif.
Kata kunci: active contour; diagnosis tumor otak; visualisasi 3D; volume tumor