Abstract:The purpose of this study is to analyze the characteristics of the character Tara in the novel Katarsis by Anastasia Aemilia. The researcher uses Sigmund Freud's personality dynamics theory to examine Tara's traits that…
appear in Anastasia Aemilia's novel Katarsis. The work is a "thriller psychology" genre. The protagonist's involvement in a serial murder plot and the complex dynamics of the novel's female protagonist are points of contention. This research utilizes literary psychology methodology to conduct descriptive qualitative research. The findings show that the female protagonist in the novel exhibits tendencies of aggression and anxiety. Tara's destructive, hurtful and murderous actions characterize her aggressive tendencies. A negative affective state accompanied by bodily feelings is known as anxiety. On the other hand, Tara also has psychopathic behavior and has manipulative, antisocial and impulsive behavior.
Abstract:To maximize customer satisfaction through marketing strategies residential property companies must understand the dynamics of appropriate marketing strategies. One of them is by maximizing consumer satisfaction with several…
ral important factors such as product, price, promotion and place. The aim of this research is to analyze the influence of the marketing mix on consumer satisfaction at Astapada Indah III Jombang housing. This type of research uses quantitative research with a cross-sectional study approach. The population of all residents of the Astapada Indah III housing complex was 68 and the sample was 58 people using incidental sampling technique. The independent variables are product, price, promotion, place and the dependent variable is consumer satisfaction. The research instruments used questionnaires, data processing using multiple linear regression tests. The results of the research showed that product and location had a significant effect on housing consumer satisfaction, while price and promotion had no effect on consumer satisfaction. However, simultaneously product, price, promotion and location all influence consumer behavior simultaneously by 79.4%.
Abstract:Love is the initial motivation for couples to decide to get married. However, love can change over the course of marriage. The pros and cons regarding the truth that love is the foundation and reason for the survival of…
a marriage need to be studied further. The importance of knowing the most important elements in marriage will minimize conflict and even divorce. The method used in this research is a descriptive qualitative method with data collection techniques based on literature studies. The study of marriage and all components of marriage is the object of this research. The main research data comes from the book "A Triangular Theory of Love" by Robert J. Sternberg and "The Seven Principles for Making Marriage Work" by John Gottman. Apart from that, supporting data such as books and articles related to marriage and studies of love in married life are also used as supporting references. The research results show the dynamics of changes in the type of love during marriage. There are three components to love including: (1) the intimacy component; (2) passion component; and (3) commitment component. These three components can form different types of love. The love component can increase and decrease and even disappear. However, the component of love that is a factor in a marriage lasting a long time is the component of commitment. This is because even if the passion and intimacy of a husband and wife change, if the marriage commitment is maintained firmly, the marriage will still be able to survive. The commitment component in love is the most important element in marriage which is the reason for the formation and survival of a marriage.
Abstract:Technological developments in transportation planning provide consultants with great opportunities to improve the accuracy and efficiency of traffic analysis. One important tool is VISSIM software, which allows realistic…
simulation of traffic dynamics. However, its utilization has not been optimal among consultants, including PT HAGEN AMERSA VETA, due to limited knowledge. This community service aims to raise the competence of PT HAGEN AMERSA VETA staff through VISSIM training. The method uses blended learning, combining theory, case studies, and hands-on practice. The evaluation was conducted through pretest and post-test. The pretest results showed an average score of 56.18, reflecting limited basic understanding. After the training, the post-test score increased significantly to 84.79, demonstrating an understanding of the concept to practical application of VISSIM. The training proved to significantly improve consultant competency, benefiting participants while improving the quality of the company's services in transportation projects.
Keywords: traffic analysis; consultant; training; competency improvement; vissim
Abstrak: Perkembangan teknologi dalam perencanaan transportasi membuka peluang besar bagi konsultan untuk meningkatkan akurasi dan efisiensi analisis lalu lintas. Salah satu alat penting adalah software VISSIM, yang memungkinkan simulasi dinamika lalu lintas secara realistis. Namun, pemanfaatannya belum optimal di kalangan konsultan, termasuk PT HAGEN AMERSA VETA, karena keterbatasan pengetahuan. Pengabdian masyarakat ini bertujuan meningkatkan kompetensi staf PT HAGEN AMERSA VETA melalui pelatihan VISSIM. Metodenya menggunakan blended learning, menggabungkan teori, studi kasus, dan praktik langsung. Evaluasi dilakukan melalui pretest dan post-test. Hasil pretest menunjukkan rata-rata skor 56,18, mencerminkan pemahaman dasar yang terbatas. Setelah pelatihan, skor post-test meningkat signifikan menjadi 84,79, menunjukkan pemahaman konsep hingga aplikasi praktis VISSIM. Pelatihan ini terbukti meningkatkan kompetensi konsultan secara signifikan, memberikan manfaat bagi peserta sekaligus meningkatkan kualitas layanan perusahaan dalam proyek transportasi.
Kata kunci: analisis lalu lintas; konsultan; pelatihan; peningkatan kompetensi; vissim
Abstract:Personal finance skills are one of the important competencies that young people need to have in facing future economic challenges, given the increasingly complex global financial dynamics and the need to be able to manage…
e resources effectively in order to survive and thrive amid economic uncertainty. However, the level of financial literacy among vocational high school (SMK) students is still relatively low, as reflected in the results of the National Survey on Financial Literacy and Inclusion by OJK (2019) which shows that only 38.03% of Indonesians have adequate financial literacy, including among students. Of the 30 samples used by using the method of sharing, discussion, and case studies on each student, many were still found to be unable to manage their finances. This financial training has succeeded in providing a basic understanding of good financial management to students of SMK Negeri 1 Kisaran. Through the material presented, students can apply the knowledge gained in their daily lives, from managing expenses, saving, to planning for the future.
Keywords: financial literacy; financial skills; training vocational high school students
Abstrak: Keterampilan keuangan pribadi merupakan salah satu kompetensi penting yang perlu dimiliki oleh generasi muda dalam menghadapi tantangan ekonomi di masa depan, mengingat semakin kompleksnya dinamika keuangan global dan kebutuhan untuk dapat mengelola sumberdaya secara efektif agar dapat bertahan dan berkembangan di tengah ketidakpastian ekonomi. Namun, tingkat literasi keuangan di kalangan siswa sekolah menengah kejuruan (SMK) masih tergolong rendah, sebagaimana tercermin dalam hasil Survei Nasional Literasi dan Inklusi Keuangan oleh OJK (2019) yang menunjukkan bahwa hanya 38,03% masyarakat Indonesia yang memiliki literasi keuangan yang memadai, termasuk di kalangan pelajar. Kegiatan ini dilakukan oleh team dosen universitas royal dimana sampelnya sebanyak 30 orang yang merupakan siswa Sekolah Menengah Kejurusan Negeri 1 Kisaran dalam penyampaian materi digunakan dengan menggunakan metode sharing, diskusi, dan studi kasus pada masing-masing siswa. Pelatihan keuangan memberikan pemahaman dasar tentang pengelolaan keuangan yang baik kepada siswa SMK Negeri 1 Kisaran. Melalui materi yang disampaikan, siswa dapat menerapkan ilmu yang diperoleh dalam kehidupan sehari-hari, mulai dari mengatur pengeluaran, menabung, hingga merencanakan masa depan.
Kata Kunci: Keterampilan keuangan; literasi keuangan; pelatihan siswa SMK, pengelolaan keuangan pribadi
Abstract:Personal finance skills are one of the important competencies that young people need to have in facing future economic challenges, given the increasingly complex global financial dynamics and the need to be able to manage…
e resources effectively in order to survive and thrive amid economic uncertainty. However, the level of financial literacy among vocational high school (SMK) students is still relatively low, as reflected in the results of the National Survey on Financial Literacy and Inclusion by OJK (2019) which shows that only 38.03% of Indonesians have adequate financial literacy, including among students. Of the 30 samples used by using the method of sharing, discussion, and case studies on each student, many were still found to be unable to manage their finances. This financial training has succeeded in providing a basic understanding of good financial management to students of SMK Negeri 1 Kisaran. Through the material presented, students can apply the knowledge gained in their daily lives, from managing expenses, saving, to planning for the future.
Keywords: financial literacy; financial skills; training vocational high school students
Abstrak: Keterampilan keuangan pribadi merupakan salah satu kompetensi penting yang perlu dimiliki oleh generasi muda dalam menghadapi tantangan ekonomi di masa depan, mengingat semakin kompleksnya dinamika keuangan global dan kebutuhan untuk dapat mengelola sumberdaya secara efektif agar dapat bertahan dan berkembangan di tengah ketidakpastian ekonomi. Namun, tingkat literasi keuangan di kalangan siswa sekolah menengah kejuruan (SMK) masih tergolong rendah, sebagaimana tercermin dalam hasil Survei Nasional Literasi dan Inklusi Keuangan oleh OJK (2019) yang menunjukkan bahwa hanya 38,03% masyarakat Indonesia yang memiliki literasi keuangan yang memadai, termasuk di kalangan pelajar. Kegiatan ini dilakukan oleh team dosen universitas royal dimana sampelnya sebanyak 30 orang yang merupakan siswa Sekolah Menengah Kejurusan Negeri 1 Kisaran dalam penyampaian materi digunakan dengan menggunakan metode sharing, diskusi, dan studi kasus pada masing-masing siswa. Pelatihan keuangan memberikan pemahaman dasar tentang pengelolaan keuangan yang baik kepada siswa SMK Negeri 1 Kisaran. Melalui materi yang disampaikan, siswa dapat menerapkan ilmu yang diperoleh dalam kehidupan sehari-hari, mulai dari mengatur pengeluaran, menabung, hingga merencanakan masa depan.
Kata Kunci: Keterampilan keuangan; literasi keuangan; pelatihan siswa SMK, pengelolaan keuangan pribadi
Abstract:Abstract: Understanding students’ emotional conditions is important for evaluating engagement and learning atmosphere in classroom environments. However, conventional evaluation methods are often subjective and difficult…
lt to apply in real time. Therefore, this study proposes a real-time multi-face emotion detection system designed for classroom learning environments. The system integrates a CNN-based Tiny Face Detector for multi-scale face localization with a convolutional neural network to classify seven facial emotions: angry, disgust, fear, happy, sad, surprise, and neutral. Experimental evaluation was conducted using classroom video data under varying lighting conditions, face orientations, partial occlusions, and different numbers of detected faces per frame. The proposed system achieves stable real-time performance with processing speeds ranging from 10–20 FPS, depending on face density. The results show higher recognition performance for expressive emotions, while subtle emotions remain more challenging. Overall classification accuracy reaches above 80% when emotion predictions are aggregated across multiple faces and time windows. These results indicate that the proposed system is suitable for objective analysis of emotional dynamics in classroom environments and supports the deployment of lightweight emotion-aware monitoring systems for educational applications.
Keywords: classroom monitoring; convolutional neural network; facial emotion recognition; multi-face detection; tiny face detector.
Abstrak: Pemahaman terhadap kondisi emosional mahasiswa penting untuk mengevaluasi keterlibatan dan suasana pembelajaran di kelas. Namun, metode evaluasi konvensional umumnya bersifat subjektif dan sulit diterapkan secara real-time. Oleh karena itu, penelitian ini mengusulkan sistem deteksi emosi multi-wajah secara real-time yang dirancang untuk lingkungan pembelajaran di kelas. Sistem mengintegrasikan Tiny Face Detector berbasis CNN untuk pelokalan wajah multi-skala dengan jaringan saraf konvolusional untuk mengklasifikasikan tujuh emosi wajah, yaitu marah, jijik, takut, senang, sedih, terkejut, dan netral. Evaluasi eksperimen dilakukan menggunakan data video kelas dengan variasi kondisi pencahayaan, orientasi wajah, oklusi parsial, serta jumlah wajah yang berbeda dalam satu frame. Sistem menunjukkan kinerja real-time yang stabil dengan kecepatan pemrosesan antara 10–20 FPS, bergantung pada kepadatan wajah. Hasil pengujian menunjukkan kinerja yang lebih baik pada emosi ekspresif, sementara emosi dengan ciri halus lebih menantang untuk dikenali. Akurasi klasifikasi keseluruhan mencapai di atas 80% ketika hasil emosi diagregasi berdasarkan banyak wajah dan interval waktu. Hasil ini menunjukkan bahwa sistem yang diusulkan berpotensi digunakan untuk analisis objektif dinamika emosi di kelas serta mendukung pemantauan lingkungan pembelajaran berbasis kecerdasan buatan.
Kata kunci: pengenalan emosi wajah; deteksi multi-wajah; Tiny Face Detector; jaringan saraf konvolusional; pemantauan kelas.
Abstract:Abstract: Ms Glow Kisaran Original Store is one of the beauty companies that sells skincare products that are useful for maintaining healthy facial and body skin. However, the Original Ms. Glow series currently faces challenges…
hallenges such as tight competition and ineffective inventory management in terms of sales figures. This company sells ± 1500 products a month, but also often faces shortages and stockpiles of product, which can reduce customer confidence and cause Ms. Glow Kisaran Original to experience financial losses, among others. Conversely, if the demand for skincare increases but the skincare supply cannot be prepared, this is a loss for the store and customers. The purpose of this study is to improve the accuracy of the forecast, the use of the Single Exponential Smoothing Method is proposed. This method smoothes past values with exponential weights, placing greater emphasis on the latest data. The use of data from the last 12 months as reference data for past recording for forecasting experiments for the next 1 (one) month. The results of the study at Ms Glow Kisaran show the flexibility of the method in adapting to different sales dynamics. Overall, this research helps in predicting skincare sales predictions at the Ms Glow Kisaran Original Kisaran Store using the Single Exponentian Smoothing method, so that it can overcome the challenges in predicting sales figures.
Keywords: ms glow kisaran; skincare sales; ses.
Abstrak: Toko Ms Glow Kisaran Original merupakan salah satu perusahaan di bidang kecantikan yang menjual produk-produk skincare yang bermanfaat untuk menjaga kesehatan kulit wajah dan tubuh. Namun rangkaian Original Ms. Glow saat ini menghadapi tantangan seperti persaingan yang ketat dan pengelolaan inventaris yang kurang efektif dalam hal angka penjualan. Perusahaan ini menjual ±1500 produk dalam sebulan, namun juga sering menghadapi kekurangan dan penumpukan stok produk, yang dapat menurunkan kepercayaan pelanggan dan menyebabkan Ms. Glow Kisaran Original mengalami kerugian finansial. Sebaliknya jika permintaan akan skincare meningkat namun persediaan skincare tidak dapat disiapkan maka ini menjadi kerugian bagi pihak toko dan pelanggan. Tujuan penelitian ini adalah untuk meningkatkan ketepatan perkiraan, penggunaan Metode Single Exponential Smoothing diusulkan. Metode ini menghaluskan nilai masa lalu dengan bobot eksponensial, memberikan penekanan lebih besar pada data terbaru. Penggunaan data 12 bulan terakhir sebagai data acuan pencatatan masa lalu untuk percobaan peramalan untuk 1 (satu) bulan kedepan. Hasil penelitian pada Ms Glow Kisaran menunjukkan fleksibilitas metode dalam menyesuaikan diri dengan dinamika penjualan yang berbeda. Secara keseluruhan, Penelitian ini membantu dalam meramalkan prediksi penjualan skincare di Toko Ms glow Kisaran Original Kisaran menggunakan metode Single Exponentian Smoothing, sehingga dapat mengatasi tantangan dalam memprediksi angka penjualan.
Kata kunci: ms glow kisaran; penjualan skincare; ses.
Abstract:Abstract: Unemployment is a global economic issue that directly impacts human life in both developed and developing countries, especially in Indonesia, which, if ignored, will severely impact society's social dynamics. To…
o overcome this problem, forecasts are made so that later, the government can take policies to control and suppress the unemployment growth rate. This research aims to predict unemployment in Indonesia in 2023 using the Weighted Moving Average method, widely used to determine the trend of a time series, which is part of one of the Time Series methods that gives different weights. The dataset used was obtained from the Central Statistics Agency (BPS) relating to unemployment data from 2000 to 2022 (23 years). To analyze the level of accuracy of the results of this unemployment forecast using the MAD, MSE, and MAPE methods. This research concludes that the Weighted Moving Average method can be applied in predicting unemployment in Indonesia in 2023. The results of this research are a prediction of the number of unemployed in Indonesia, as many as 8,874,942 people at a weight value of 3 (three) where the accuracy of the MAD value is 745786.1833, the MSE value is 948402050986.3 and MAPE is 8.28%.
Keywords: forecasting; unemployment; weigth moving average; indonesia
Abstrak: Pengangguran menjadi isu ekonomi global yang berdampak secara langsung terhadap tingkat kehidupan manusia di negara-negara yang sudah maju maupun yang sedang berkembang khususnya di negara Indonesia, yang jika diabaikan akan berdampak serius terhadap dinamika sosial masyarakat. Untuk mengatasi permasalahan tersebut dibuatlah peramalan agar nantinya pemerinta dapat mengambil kebijakan dalam mengendalikan dan menekan angka pertumbuhan pengangguran tersebut. Penelitian ini bertujuan untuk memprediksi pengangguran di Indonesia pada tahun 2023 menggunakan metode Weighted Moving Average dimana metode ini banyak digunakan untuk menentukan trend dari suatu deret waktu yang merupakan bagian dari salah satu metode Time Series yang memberikan bobot yang berbeda-beda. Adapun dataset yang digunakan diperoleh dari Badan Pusat Satatistik (BPS) berkaitan dengan data pengangguran dari tahun 2000 sampai dengan tahun 2022 (selama 23 tahun). Untuk menganalisa tingkat akurasi dari hasil peramalan pengangguran ini memakai metode MAD, MSE, dan MAPE. Kesimpulan dari penelitian ini yaitu dapat diterapkannya metode Weighted Moving Average dalam memprediksi pengangguran di Indonesia pada tahun 2023. hasil dari penelitian ini berupa prediksi jumlah pengangguran di Indonesia sebanyak 8.874.942 orang pada nilai bobot 3 (tiga) dimana akurasi nilai MAD sebesar 745786,1833, nilai MSE sebesar 948402050986,3 dan MAPE sebesar 8,28 %.
Kata kunci: peramalan; pengangguran; weigth moving average; indonesia
Abstract:This study examines how employees perceive and trust Algorithmic Performance Appraisal (APA) in digital-native and technology-driven companies. Adopting Organizational Justice Theory, the Trust in Technology Framework, and…
nd Cognitive Appraisal Theory, the research explores both the direct and indirect effects of APA on employee trust, with Perceived Procedural Fairness (PPF) as a mediating variable. The study uses a quantitative, cross-sectional approach, collecting data from 200 employees in technology-based organizations and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that APA significantly enhances both procedural fairness and employee trust, with PPF playing a partial mediating role in this relationship. These findings underscore the importance of transparency, procedural legitimacy, and avenues for employee voice in cultivating trust in algorithmic systems. The study’s theoretical contribution lies in its integration of multiple perspectives on trust and fairness within algorithmic HR management. The practical implication calls for the careful design and implementation of APA systems that employees perceive as fair and trustworthy. Future research should investigate these relationships in longitudinal and multi-contextual settings to deepen the understanding of trust dynamics in evolving AI-mediated work environments.