cover
Contact Name
Indra Ava
Contact Email
pixel@stekom.ac.id
Phone
+628526460045
Journal Mail Official
pixel@stekom.ac.id
Editorial Address
Jl. Majapahit 605 Semarang
Location
Kota semarang,
Jawa tengah
INDONESIA
Pixel : Jurnal Ilmiah Komputer Grafis
ISSN : 19790414     EISSN : 26216256     DOI : https://doi.org/10.51903/pixel.v14i1
Core Subject : Education,
Arjuna Subject : -
Articles 339 Documents
PERANCANGAN DESYGN SYGN SYSTEM PASAR TRADISIONAL MARISA: perancangan Risti Puspita Sari Hunowu; Siska Udilawaty
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 16 No. 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1215

Abstract

The need for a sign system at the Marisa traditional market will make it easier for visitors to get information. Designing a sign system in an attractive, effective, informative and communicative market area will be the right solution. The purpose of the design is to make it easier for visitors to recognize the shopping flow and layout of the Marisa Traditional Market. This study uses a design method with a qualitative approach as a technique in collecting data. The design method is intended to produce a product in the form of a Marisa Traditional Market sign system design. While the qualitative approach is used as a way to find and collect data from the field. The data were then identified and analyzed descriptively using 5 W + 1 H so that it gave birth to a sign system design concept for the Marisa traditional market. Next, the concept is visualized until it becomes the final design in the form of the Marisa Traditional Market sign system
Characterization Of Composition Error Summary Using Machine Learning Techniques And Natural Language Processing Mars Caroline Wibowo; Budi Raharjo
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 16 No. 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1885

Abstract

As software technology becomes more complex, software maintenance costs become more expensive. In connection with this, the development of software engineering makes the software system has many Composition choices that can be adjusted to the needs of the user. Error fixing involves analyzing Error Summary and modifying code. If bug-fixing steps are made as efficiently and effectively as possible then maintenance costs can be minimal. The purpose of this research is to establish a tool of machine learning for identifying Composition Error Summary and to find out the types of special Composition choices that can be used to save costs, time, and effort. In this study, the T-test was applied to appraise the analytical implication of conduct metrics when the “F-test” was taken to the Variance’s test. Classifiers used in this study are “All words” or “AW”, “Highly Informative Words” or “H-IW”, and “Highly Informative Words plus Bigram” or “H-WB”. Identical validation and Vexed validation techniques were used to calculate the effectiveness of machine learning tools. The results of this research denote that the instrument is competent for definitive Composition Error Summary and other Composition choices for definite Error Summary. This research determines the practicality of machine learning techniques in corrective issues relevant to Error summary. The result of this study also explained that Composition/non-Composition Error Summaries have contrasting aspects that can be accomplished by machine learning devices. The advanced tool could be upgraded in some areas to create it more powerful. The array identification section of the current study has limitations, an array with different words and Composition recognition tools tend to prefer Compositions with more words, so improvements to this could implicate consideration of the semantics of Error Summary, equivalent, and use of n-grams. Also, in using the technology of machine learning and Natural Language processing some advancements to be made to the present characterization structure so for future research it is highly recommended to clear up the first’s Error Summary before operating several operations in the present study.Composition Error Summary
PERANCANGAN CORPORATE IDENTITY DALAM MEMBANGUN CITRA PADA LAUNDRY TITU BINATU SEMARANG Ofa, OfaKinestuRilta; Aris Sarwo Nugroh; Nuris Dwi Setiawan
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.2890

Abstract

The development of the laundry business requires an effective visual communication strategy to build brand image and competitiveness. This study aims to design a visual branding strategy for Titu Binatu, a laundry UMKM in Tembalang, Semarang. Through a visual communication design approach, this study analyzes visual identity elements such as logos, colors, typography, and promotional media in shaping consumer perceptions. The method used is qualitative through observation, interviews, and literature studies. The results show that Titu Binatu needs a strong visual identity and appropriate promotion to reach the market, especially students and workers. Strengthening branding with offline and online media is needed so that visual branding becomes a strategic tool in business development in the digital era.     
Perancangan Konten Sosial Media Untuk Meningkatkan Brand awareness Kamala Kopi Sekar Lintang Rachmawati; Agus Priyadi; Candra Supriadi
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3123

Abstract

The coffee industry in Indonesia is growing rapidly and encouraging coffee shops, including MSMEs, to strengthen their branding strategies through digital media. This study aims to design and evaluate Instagram social media content to increase brand awareness of Kamala Kopi, a local coffee shop in Gunungpati, Semarang. The method used is the Multimedia Development Life Cycle (MDLC) with stages of concept, design, material collection, assembly, testing, and distribution. The content produced consists of music videos, promotional posters, and menu visuals, which were then tested through internal and external validation, as well as a questionnaire administered to 68 respondents. The research results showed a positive and significant influence of Instagram content on brand awareness of 1.007 with a coefficient of determination of 90.4%. These findings confirm that content on Instagram social media plays an important role in strengthening the visibility of SME brands and can be an effective strategy to increase brand awareness.
Pemanfaatan Fotografi Produk Berbasis Website Sebagai Media Promosi Pada UMKM Ovie Cake Semarang Lia Handayani; Handayani, Lia; Ayyub Hamdanu Budi Nurmana MS; Muhammad Sholikhan
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3147

Abstract

Digital technologies have been developed very fast, and as a result, we have seen a big change in the way companies are marketing their products, especially in the case of Micro, Small, and Medium Enterprises (MSMEs). Ovie Cake, a local MSME in Semarang, is experiencing difficulties in seeking market expansion because the product photos on its social media have been fluctuating; thus, the engagement has dropped. The objective of this research is to find out the most applicable product photography methods and put together a promotional medium based on the website. The study utilized various methods such as an observation method, social media analysis, a photography experiment, and catalog-based website development. For photography, they picked still life combined with the 45-degree angle and high-key lighting. Properly lit product photos attract consumers’ attention and show the professionalism of the brand. The website, attracting users without borders, became a successful digital promotion platform to open new markets.
EVALUASI REDESIGN WEBSITE BERBASIS FIGMA TERHADAP KEPUASAN PENGGUNA(STUDI KASUS PADA BBPMP JAWA TENGAH) Andreabella Shazita, Nadiva; Irdha Yunianto; Muhammad Sholikhan
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3191

Abstract

This study aims to evaluate the Figma-based redesign of the BBPMP Central Java website to enhance user satisfaction and visual consistency with national graphic standards. Using a qualitative descriptive approach and the Research and Development (R&D) method, the process included needs analysis, prototype design, expert validation, and user testing. Data were collected through observation, interviews, and Likert-scale questionnaires. The results show that a user-centered redesign significantly improves navigation, visual appeal, and user satisfaction with the website interface. Figma proved to be an effective collaborative tool for developing interactive and standardized design prototypes. These findings provide strategic insights for educational institutions to enhance the quality and attractiveness of digital platforms.
Perancangan Iklan Video Promosi Toploker.com Berbasis AI dengan Pendekatan MDLC Tito Bagaskoro, Januar; Sholikhan, Muhammad; Dwi Setiawan, Nuris
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3197

Abstract

Industri portal lowongan kerja daring mengalami persaingan ketat, menuntut platform seperti Toploker.com untuk membangun brand awareness yang kuat, di mana iklan video menjadi strategi promosi yang sangat efektif. Namun, produksi video konvensional menghadapi kendala biaya tinggi dan waktu pengerjaan yang lama. Kecerdasan Buatan (AI) menawarkan solusi dengan mengotomasi produksi konten, mulai dari penyusunan naskah hingga personalisasi audio-visual. Penelitian empiris menunjukkan bahwa iklan video berbasis AI dapat meningkatkan tingkat engagement hingga 6–9 persen poin lebih tinggi dibandingkan iklan baseline dan meningkatkan efektivitas persuasi hingga 12,5% lebih tinggi dalam hal ekspektasi pendapatan. Untuk memastikan proses pengembangan konten video promosi yang menarik, efisien, dan relevan bagi audiens digital Generasi Z, penelitian ini mengadopsi kerangka kerja Multimedia Development Life Cycle (MDLC), yang mencakup tahap Konsep, Perancangan, Pengumpulan Bahan, Produksi, Pengujian, dan Distribusi. Tujuannya adalah merancang panduan teknis yang terstruktur untuk mengintegrasikan alat AI modern (seperti CapCut, Suno AI, dan Freepik AI) demi mengoptimalkan kualitas dan efisiensi produksi konten.
Perancangan Logo Kampanye Sosial “FLOW” Sebagai Media Edukasi PTSD pada Generasi Z Fairuza, Rahma Elmira; Elmira Fairuza, Rahma; Costa Rica El Chidtian, Aileena Solicitor; Febi Arifianto, Pungky
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3198

Abstract

This study aimed to design the visual identity of the social campaign FLOW (Find Lights Over Wounds) to promote early awareness of Post Traumatic Stress Disorder among Generation Z. A mixed method approach was applied to explore perceptions, knowledge, and the need for empathetic and communicative educational media. Data were collected through online questionnaires from 108 respondents and in-depth interviews with psychologists, psychiatrists, and PTSD survivors. The findings indicated that Generation Z required visual media that conveyed mental health messages safely and meaningfully. The FLOW logo was developed through brainstorming, sketching, and expert validation, featuring a heart and hands symbolizing empathy and healing. Soft blue, pink, and pastel yellow colors were used to create a calm, warm, and hopeful impression. The campaign effectively fostered emotional awareness and encouraged help-seeking behavior among young audiences.
Peran Konten Kreatif dalam Meningkatkan Brand Awareness Sopiri Driving School melalui Media Sosial Putra Kusdarmawan, Rahma
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3216

Abstract

The development of digital technology has transformed how businesses build brand image through social media. This study aims to determine the role of creative content in enhancing the brand awareness of Sopiri Driving School through social media platforms such as Instagram and TikTok. The research method used is Research and Development (R&D) adapted from the Borg & Gall model, consisting of problem identification, design, development, testing, and evaluation stages. The study produced two promotional videos of 30 seconds each. The results showed that implementing creative content with storytelling and dynamic visuals significantly increased brand awareness. Trial data revealed that social media followers increased by more than 90%, and the engagement rate rose from 3.5% to 8.2% after the content was published. Moreover, 83% of survey respondents stated they recognized Sopiri Driving School after watching the promotional videos. The study concludes that creative content plays an essential role in building a professional brand image and attracting audiences through social media. An effective content strategy not only serves as a promotional tool but also as an interactive communication medium that strengthens the emotional bond between the brand and its audience.

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