20988 research outputs found
Sort by
Perbandingan Sistem Struktur Rumah Gadang Koto Piliang dan Bodi Caniago Terhadap Gempa
No full textThe purpose of this study is to identify the comparison of structural systems from the vernacular architecture of Rumah Gadang, Koto Piliang, and Bodi Caniago in response to Minangkabau local seismic, namely the stability of the building structure system against earthquakes. Research methods by collecting secondary data were used to determine the theoretical basis to be used in research, namely Minangkabau local seismic, the vernacular structure system of Rumah Gadang, and the join that affects the structural system in responding to earthquake loads. Interpretation of earthquake load distribution and the effectiveness of structural systems in responding to earthquake loads is carried out by analyzing secondary data collected
Pengaruh Financial Knowledge dan Financial Attitude terhadap Financial Behavior Karyawan Bank dimediasi Self-confidence
Get PDFPenelitian ini bertujuan untuk mengkaji hubungan antara financial knowledge dan financial attitude
terhadap financial behavior karyawan bank dimediasi self-confidence. Jenis penelitian yang
digunakan adalah penelitian kuantitatif dengan metode deskriptif. Jenis dan sumber data yang
digunakan adalah data primer yang dikumpulkan langsung oleh peneliti dari objeknya. Pengumpulan
data dilakukan dengan menggunakan google form. Karakteristik responden penelitian adalah
karyawan bank dengan pengalaman kerja di bank minimal 2 tahun yang masih aktif bekerja pada
bank yang berlokasi di Surabaya. Jumlah responden penelitian adalah 111 responden. Teknik analisis
data yang digunakan dalam penelitian ini adalah analisis deskriptif, validitas konvergen, validitas
diskriminan, reliabilitas komposit, R-square, Q-square, dan Uji-T dengan bantuan program software
PLS. Hasil analisa menunjukkan bahwa financial knowledge dan financial attitude berpengaruh
terhadap financial behavior karyawan bank. Namun, financial attitude dan financial knowledge yang
dimediasi self-confidence tidak berpengaruh terhadap financial behavior karyawan bank
The Influence Of Helpful Brand Action On Relationship Value Perception Through Behavioural Brand Engagement In Gojek Application Users In Surabaya
Get PDFRelationship value perception can be conceptualized as constructing a favorable relationship between a brand and its consumers. This is corroborated by the brands beneficial actions, which facilitate consumer familiarity with the brand. This study aims to examine the influence of helpful brand action on relationship value perception through behavioural brand engagement in Go-Jek application users in Surabaya. A questionnaire was employed as the data collection technique, with a sample size of 350 respondents. This research utilizes a causal research design with quantitative methods. The data were analyzed using Smart PLS software. The findings indicate that helpful brand action affects behavioral brand engagement, that helpful brand action affects relationship value perception, and that behavioral brand engagement affects relationship value perception
Exploring Narrative Structure and Immersion in the Game OMORI: Unpredictability and Trauma as Guiding Principles
Get PDFThis study analyzes the narrative structure of OMORI, a 2020 psychological horror RPG by Omocat, focusing on its portrayal of trauma through the protagonist Sunny. Incorporating Bal’s (2017) narratology and Wei’s (2011) narrative framework, this study examines techniques that contribute to unpredictability and trauma-driven narrative. Using Bermejo-Berros et al.’s (2022) narrative tension theory and Green and Brock’s (2000) transportation theory, the study reveals how each technique, respectively, incites immersive horror and emotional connection in players. Unpredictability can create immersive horror through narrative tension, whereas trauma-driven narrative may create an emotional connection by making the players sympathize with the character. Through its placement and presentation of sequences, the game evokes cognitive and emotional responses in players. The narrative structure in OMORI highlights the impact of unpredictability and trauma-driven narratives in game storytelling. Analyzing the game’s sequences and mechanics reveals their role in creating profound emotional experiences for players
Peran Emotional Exhaustion dalam Hubungan antara Job Insecurity dan Work Attitude: Studi pada Salesperson Otomotif
No full textSalesperson has an important role in the company continuity. Work attitude is one thing that supports the performance of salesperson as the spearhead of the companys marketing. This study was conducted with the aim of understanding the effect of job insecurity on work attitude with the mediation emotional exhaustion. The method used is quantitative, with 106 respondents. The population in this study was automotive sales in Surabaya. This study used a purposive sampling technique. The sample criteria were automotive sales who worked in Surabaya industry for at least 1 year. The results of the study showed that job insecurity did not have a significant effect on work attitude. Job insecurity has a positive effect on emotional exhaustion of automotive sales in Surabaya, while emotional exhaustion has a negative effect on the work attitude of automotive sales in Surabaya. Also, Job insecurity has a negative effect on work attitude through emotional exhaustion of automotive sales in Surabaya
An Improved Toxic Speech Detection on Multimodal Scam Confrontation Data Using LSTM-Based Deep Learning
No full textToxic speech has gained substantial attention, focusing on its detrimental effects and prevalence across online platforms. This phenomenon often exhibits discernible patterns in pronunciation analogous to emotions such as happiness or anger. It has been relatively underexplored in prior studies, which predominantly addressed offensive language, hate speech, and sarcasm without considering their emotional properties. Social media platforms have emerged as spaces where individuals share personal encounters with toxic speech that impacts on their well-being. To
address this challenge, our study introduces a novel approach that combines speech and text data within a Long Short-Term Memory (LSTM) framework. Unlike existing methods that primarily focus on text analysis, our approach uniquely integrates both speech and text, thereby enhancing the model’s ability to accurately detect toxic content. This multimodal data strategy is such an innovative step forward that it provides a more comprehensive solution to the problem of toxic speech detection. Our collected dataset comprises two-way conversations from online fraud reports and confrontations related to loan scams uploaded on YouTube, conducted in the Indonesian language. The absence of subtitles can emerge any ambiguity of homonyms, so it is required to transcribe the audio content to text. To do this, we used native speakers to make sure the transcription was correct in the Indonesian language of the toxic context. In addition, speech features, such as pitch, intensity, and speaking rate, were utilized alongside text features, including Bag-of-Words (BoW) and Term Frequency-Inverse Document Frequency (TF-IDF). As a result, validation through F1-score measurement yielded 92.73% for text data and 89.09% for speech data. Our proposed approach provided a substantial improvement of approximately 12%-30% compared to the previous LSTM models. The performance comparison results confirmed that our proposed approach can enhance the accuracy of toxic speech detection
Post-harvest Soybean Meal Loss in Transportation: A Data Mining Case Study
Get PDFA poultry company in Indonesia has a problem, i.e., losing raw mate-rial, the so-called Soybean Meal (SBM), during transportation from the port to the factory. To reduce material loss, the company created a raw material transport (RMT) system, which recorded the time and activities during loading-unloading and transporting the material from the port to the factory warehouses. Therefore, this study aims to mine the data on the loss of raw materials through RMT. The application used is Orange data mining to find the relationship between lost material and other attributes, create clusters, and classify the standardized lost. The clustering exhibits two classes, namely, the standard and non-standard condi-tions. The classification process uses five different algorithms. The random forest algorithm was chosen because it produces the second-best AUC value and can produce a classification visualization through a decision tree. This classification process also produces rules based on the decision tree
PENGARUH VALUE CO-CREATION TERHADAP KETERLIBATAN MEREK DAN NIAT PEMBELIAN: STUDI KASUS MENANTEA
Get PDFMenantea berfokus menjual minuman berbahan dasar teh dan telah berhasil
meraih lebih dari 200.000 pengikut di Instagram dalam 5 hari pada awal pembukaannya. Penelitian ini dilakukan untuk mengetahui seberapa besar tingkat pengaruh Value Co-Creation (dialog, akses, risiko-manfaat, dan transparansi) terhadap brand engagement dan minat beli pengikut Menantea di Instagram. Penelitian ini melibatkan sebanyak 114 responden yang mengikuti akun Instagram @menantea.toko. Penelitian ini menggunakan teknik analisa data Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa pada Menantea, value co-creation berpengaruh positif dan signifikan terhadap brand engagement. Lebih lanjut brand engagement berpengaruh positif dan signifikan terhadap minat beli, dan value co-creation berpengaruh positif dan signifikan terhadap minat beli. Dengan demikian, value co-creation ditemukan berpengaruh positif dan signifikan terhadap minat beli dengan brand engagement sebagai variabel mediasi. Brand engagement berperan sebagai mediasi sebagian yang memperkuat pengaruh value co-creation terhadap minat beli pada Menante
The Influence of Hedonic Browsing and Flow Experience of Instagram on Food and Beverages Online Impulsive Buying
Get PDFMarketers use Instagram as one of the most popular social media platforms to sell their products or
services. Its features have encouraged its consumers to spend time doing hedonic browsing. This online
browsing enables consumers to get a flow experience that makes them buy products and services
impulsively, especially food and beverages. This study is to determine the effects of the hedonic browsing
and flow experience of Instagram on food and beverages to online impulsive buying. The questionnaires
were taken from 160 respondents and analyzed using SPSS and Partial Least Square (PLS). The results
of this study show that hedonic browsing has a positive and significant influence on flow experience.
Flow experience has a positive and significant influence on online impulsive buying. Hedonic browsing
also has a positive and significant influence on online impulsive buying. Finally, flow experience has
mediated the effect of hedonic browsing on the impulsive online buying of food and beverages
RESILIENCE AND CONFLICT: THE ROLES OF COPRENEURSHIP, TRANSGENERATION, AND DARK SIDE OF FAMILY BUSINESS
Get PDFThe present study aimed to examine the role of copreneurship, transgeneration, and the dark side with
conflicts in and continuity of family-managed small and medium-sized enterprises (SMEs) or family
businesses. Data was derived from 178 owners of batik SMEs, consisting of both those managed by spouses
and those inherited. Data analysis was done using SEM-AMOS.22 and showed that (1) copreneurship
positively related to family business conflicts; (2) transgeneration positively related to business management
conflicts; (3) member family�s dark side positively related to conflicts; and (4) conflicts occurred due to tenuous
family social identity (decreased copreneurship bond, transgenerational process failure and dark side) positively
related to family business resilience. The present study also included control variables for business size and
generational order in order to determine the extent and resilience of business continuity