Open Journal - Universitas Komputer Indonesia
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Pola Aktivitas Pedagang Kaki Lima (PKL) dalam Pemanfaatan Ruang Publik Kawasan Pendidikan di Belakang Kampus Kentingan Universitas Sebelas Maret Surakarta (UNS)
Full text linkPedagang Kaki Lima (PKL) merupakan sektor informal yang banyak berkembang di daerah kota di Indonesia termasuk juga di Kawasan Kampus Kentingan Universitas Sebelas Maret (UNS). PKL yang berada di sekitaran kampus memiliki berbagai macam jenis dagangan, sarana dagang, dan lokasi pengelompokkan dalam berdagang seiring berbedanya waktu. Dengan hal ini, penelitian ini dilakukan untuk mengidentifikasi pola aktivitas PKL, termasuk jenis dagangan, lokasi berdagang, sarana yang digunakan, dan waktu operasional. Dalam penelitian ini menggunakan metode kualitatif deskriptif. Penelitian ini mengungkapkan bahwa PKL yang ada di sekitar kampus UNS terpusat di Jalan Kartika, Jalan Surya, dan Jalan Ki Hajar Dewantara. PKL yang ada menjual berbagai jenis dagangan yang berbeda seperti makanan maupun minuman. Waktu operasional PKL terbagi menjadi dua pola utama: pagi hari untuk makanan berat seperti sarapan, dan siang hingga malam hari untuk jajanan ringan dan makanan siap saji. Sarana yang digunakan untuk berdagang sangat beragam, mulai dari gerobak dorong, tenda bongkar-pasang, hingga kendaraan bermotor. Aktivitas PKL yang ada di sekitar kampus Universitas Sebelas Maret (UNS) muncul karena adanya kebutuhan sehari - hari mahasiswa, sehingga PKL ini juga memiliki waktu yang berbeda dalam menjual dagangannya. Dengan adanya penelitian ini diharapkan dapat memberikan gambaran mengenai aktivitas PKL yang ada di Belakang Kampus Kentingan UNS
Analysis The Impact of External Conflict on Isabella’s Psychological Transformation in The Promised Neverland 2019
Full text linkThe aim of this study is to demonstrate how an environment with external conflict causes character development. The data was taken from Isabella’s dialogue and sequence in The Promised Neverland 2019. This research focuses on Isabella’s internal conflict and her decision to the conflict. This analysis uses the theories of Psychoanalysis (Freud), Internalization of the Aggressor (Anna Freud), and Avoidance-Avoidance Conflict (Kurt Lewin). The method used in this research is descriptive qualitative. The results show that being under threat will trigger a moral shift in superego because the ego realizes that the instinctive desires of the id cannot be realized. Thus, a person tends to end up submitting and forcing the internalization of the aggressor as self defence mechanism to rationalize her action, and continue the chain of continuous oppression
Expressive Speech Act in The Movie Transformers One
Full text linkThe main purpose of this research is to examine expressive speech acts in Transformers One. Focusing through the character Orion Pax (Optimus Prime) with Searle’s (1969) speech act theory. The analysis explores how expressive speech acts describe how Orion Pax use expression in the dialogue and interaction with the others such as, gratitude, complaints, apologies, fear, praise, greetings, confidence, and disappointment. This research used qualitative descriptive method and focusing on character Orion Pax dialogues that using expression contribute to character development and interpersonal relationships. The use of expressive speech act in Transformers One showed its affect overall dialogues of Orion Pax to be more expressive and connecting the audiences more. expressive speech acts in this movie are great at providing emotions to the character Orion Pax dialogues, for better understanding and deeper connection
Character Game Naming in Ready Player One Movie: A Literary Onomastic Analysis
Full text linkThis research aims to analyze character naming in “Ready Player One” movie through the lens of literary onomastics. The research used a qualitative descriptive approach using Abbasbeyli’s framework, which categorizes names into official, symbolic, and conceptual elements. This research explores how the names Parzival, Art3mis, and Aech in virtual narratives serve as complex symbols that enrich themes and reflect cultural views on identity in digital spaces. The findings reveal that Parzival’s name connects to Arthurian legend, symbolizing heroic quests in a virtual context. Art3mis blends Greek mythology with modern gaming culture, reflecting independence and digital symbolism. Aech’s name highlights identity fluidity in virtual spaces, masking real-world identity. The findings suggest that character names in virtual narratives serve beyond identification, reinforcing themes of authenticity, transformation, and human connection in digital spaces. This research underscores the role of onomastics in contemporary media as a narrative tool shaping thematic depth
Id, Ego, and Superego in The Movie John Wick (2014): A Character Analysis
Full text linkThis study analyzes the character of John Wick in the film "John Wick" (2014) by using Sigmund Freud\u27s psychoanalytic theory which includes Id, Ego, and Superego. The method used is descriptive qualitative by collecting in-depth data on how these three personality elements influence Wick\u27s actions and decisions. The results of the analysis show that John Wick\u27s Id, which represents basic drives such as revenge and anger, triggers extreme actions after the death of his wife and the killing of his dog. Wick\u27s ego acts as a mediator that considers the reality and consequences of his actions, seen in the systematic and planned way he carries out his revenge. Wick\u27s Superego, which includes moral and ethical values, directs his actions to adhere to certain moral codes, such as respecting the rules of the Continental Hotel. Overall, the interaction between the Id, Ego, and Superego in John Wick shows that although his actions are driven by the desire for revenge, he is also guided by rational considerations and moral values. This research provides insight into how the main character\u27s internal conflict can affect the behavior and plot development in the movie "John Wick" (2014).
Keywords: John Wick, Psychoanalysis, Id, Ego, Supereg
Representation of the Grieving Process in Dani Clayton from The Haunting of Bly Manor
Full text linkThis study examines how Dani Clayton undergoes grieving process. Using qualitative descriptive method with online video as data sources, the research analyzed episodes where Dani dealt with grief using Kubler-Ross’ theory. Results shows that Dani moved from USA to the UK as a nanny to two kids to grieve her fiancé’s death after breaking up their engagement. Dani went through 3 stages of grief; depression, denial, and acceptance while experiencing hauntings multiple times. The hauntings escalated as Dani gets closer to someone romantically. She finally faced her grief and guilt to accept his death and move on with her life Thus this research shows how Dani starts the series by grieving her fiancé’s death and finally accepts it to be able to be happy in her life.
Keywords: Stages, Grieving, Dying, Haunting
The Use of Conceptual Metaphors in Expressing Love in Song’s Lyrics Titled “Best Part” by Daniel Caesar Featuring H.E.R.
Full text linkThis research explores how conceptual metaphors are used to express love in the song’s lyric titled “best part” by Daniel Caesar featuring H.E.R. the source and target domain that refers to a lover or describe a lover is the main goal of this research. This research uses descriptive qualitative approach. From the analysis, six conceptual metaphors were identified, each comparing a partner or significant other with essential or comforting elements, those are coffee, sunshine, a star, the best part of a movie, and Tylenol. These conceptual metaphors convey or expresses love by highlighting the singer’s deep emotional connection, appreciations, and reliance to their partner. They emphasize how the partner or significant other brings meaning, joy and support to the singer’s life. The findings also show that conceptual metaphors play a crucial role in simplifying abstract emotions, building more relatable and impactful lyrics for the listener.
Keywords: Conceptual metaphor, Lyrics, Lov
Rekomendasi Pemilihan Bahan Bacaan Pengunjung Perpustakaan Menggunakan Metode K-Means Clustering
Full text linkThis research was conducted at the Modern Library of Kendari City to classify visitors\u27 reading interests using the k-means clustering method. The classification aims to provide reading recommendations that match each visitor group\u27s interests. The study uses book lending data collected from library visitors over the past four years. The clustering process implements the k-means algorithm, grouping data based on the nearest distance to cluster centers. This method resulted in three main clusters: cluster 0 with low reading interest, cluster 1 with moderate reading interest, and cluster 2 with high reading interest. This study contributes by developing a new approach for the Modern Library of Kendari City in managing book collections and recommending readings based on visitor interest groups. The clustering visualization provides insights into reading interest distribution, which helps the library make decisions about reading material provision. The cluster analysis shows different borrowing patterns and book preferences. This research is expected to help the library improve its services and visitor satisfaction through providing book collections that match each group\u27s reading interests.
Keywords – Book Recommendations; Clustering; Library; Machine Learning; Reading InterestABSTRAK – Penelitian ini dilakukan pada Perpustakaan Modern Kota Kendari yang bertujuan untuk menarik minat baca pengunjung Perpustakaan Modern Kota Kendari menggunakan metode k-means clustering. Pengelompokan ini dilakukan untuk memberikan rekomendasi bahan bacaan yang sesuai dengan minat masing-masing kelompok pengunjung. Data yang digunakan dalam penelitian ini adalah data peminjaman buku oleh pengunjung perpustakaan selama periode empat tahun terakhir. Proses clustering dilakukan dengan menerapkan algoritma k-means, dimana pengelompokan data didasarkan pada jarak terdekat ke pusat cluster. Hasil penerapan metode k-means menghasilkan tiga klaster utama: klaster 0 dengan minat baca rendah atau sedikit peminat, klaster 1 dengan minat baca sedang, dan klaster 2 dengan minat baca tinggi atau banyak peminat. Visualisasi hasil pengelompokan memberikan gambaran yang jelas tentang distribusi minat baca pengunjung, yang dapat digunakan oleh pihak perpustakaan untuk mengambil keputusan terkait penyediaan dan rekomendasi bahan bacaan. Analisis karakteristik setiap cluster menunjukkan perbedaan pola peminjaman dan preferensi buku di antara ketiga kelompok. Hasil penelitian ini diharapkan dapat membantu perpustakaan dalam meningkatkan efektivitas layanan dan kepuasan pengunjung melalui penyediaan koleksi buku yang lebih sesuai dengan tingkat dan jenis minat baca masing-masing kelompok pengunjung.
Kata Kunci – K-means; Pengelompokan; Pembelajaran Mesin; Rekomendasi buku; Perpustakaan; Minat Bac
Perbandingan kualitas hubungan Leader - member exchange terhadap Followers Outcome pada perkembangan digital startup
Full text linkThe quality of relationships between employees in a growing company greatly influences increasing followers outcomes, this is also inseparable from the role of a leader or team leader. The leader-member exchange (LMX) theory is a leadership theory that considers the dyadic relationship between leaders and team members, where each relationship quality certainly has different follower outcomes. The purpose of this study was to analyze the differences in the quality of relationships that occur between team leaders and team members during organizational change in each phase. The data used in the study were obtained from a digital startup company in East Java, in 3 different divisions in each phase and processed using the case study research method. The results of the study prove that there are differences in the quality of relationships in the first phase, the quality of the relationship is classified as negative, while in the second phase it is positive. And an anomalous phenomenon was found in the quality of the relationships analyzed.Kualitas hubungan yang terjalin antar karyawan pada perusahaan yang sedang berkembang sangat berpengaruh dalam meningkatkan followers outcome, hal tersebut juga tidak lepas dari peranan seorang pemimpin ataupun leader tim. Teori leader - member exchange (LMX) merupakan salah satu teori kepemimpinan yang memperhatikan hubungan dyadic yang terjalin antara leader dan member tim, yang mana setiap kualitas hubungan tentu memiliki kualitas hasil pengikut atau followers outcome yang berbeda-beda. Tujuan dari penelitian ini untuk menganalisis perbedaan kualitas hubungan yang terjadi antara leader tim dan member tim selama perubahan organisasi berlangsung pada tiap fasenya. Data yang digunakan dalam penelitian diperoleh dari salah satu perusahaan digital startup di jawa timur, pada 3 divisi yang berbeda pada tiap fasenya dan diproses menggunakan metode case study research. Hasil penelitian membuktikan adanya perbedaan kualitas hubungan pada fase pertama kualitas hubungan tergolong negatif, sedangkan pada fase dua bernilai positif. Serta ditemukan fenomena anomali dalam kualitas hubungan yang dianalis
Aplikasi Sistem Pakar Dengan Metode Naive Bayes untuk Mendeteksi Penyakit Diabetes
Full text linkData IDF states that there will be 19.47 million people with diabetes in Indonesia in 2021. One of the causes is a lack of awareness of healthy food consumption which has an impact on increasing body weight due to high blood sugar. In overcoming this incident, it is necessary to implement an application to detect diabetes. The use of an expert system provides many conveniences for someone in health examinations and also for health workers or doctors in diagnosing a disease. In diagnosing, an expert system requires a method, one of which is the Naive Bayes classification method. In this study, data on diabetes sufferers was taken from the Kaggle site as training data, with a total of 768 data from nine attributes and one of the attributes as a label. To make it easier to operate the application, only four attributes were used as test samples based on calculating the highest correlation value, namely pregnancy, glucose, BMI and age. Next, the opinion of a health expert, namely a specialist in internal medicine, and calculating the accuracy value of diabetes data using the Naïve Bayes algorithm. The resulting data accuracy value is 79%. Implementation of a web-based expert system application using the PHP programming language and MySQL database. This expert system application aims to detect diabetes based on the results of a health check to predict whether it is positive for diabetes or negative for diabetes