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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Pseudocode JUITA : Jurnal Informatika PROSIDING SENATEK FAKULTAS TEKNIK UMP Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika LIABILITIES (JURNAL PENDIDIKAN AKUNTANSI) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Distilat: Jurnal Teknologi Separasi INTELEKTIVA Bulletin of Computer Science Research Jurnal Informatika Teknologi dan Sains (Jinteks) LEBAH Techno Blend Sains Jurnal Teknik Journal of Intelligent Systems and Information Technology
Feri Wibowo
Universitas Muhammadiyah Purwokerto
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Journal : Jurnal E-Komtek

 1 
Optimization of Gamification Type Selection in Pop-Up Campaigns to Enhance Customer Engagement on E-Commerce Platform XYZ Using the Analytical Hierarchy Process Method Kesy Apriansyah; Hakim, Dimara Kusuma; Feri Wibowo; Supriyono
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2265

Abstract

One of the key success factors in the e-commerce industry is the increase in consumer engagement. High engagement has been proven to drive sales growth and customer loyalty. To achieve this goal, the application of gamification in marketing campaigns has been shown to have a significant impact on customer engagement in e-commerce. This study aims to optimize the selection of gamification types in pop-up campaigns to enhance consumer engagement on the XYZ e-commerce platform. The selection of the right type of gamification is crucial, but it is often influenced by subjectivity in assessment. To that end, this research uses the Analytic Hierarchy Process (AHP) method, which integrates historical data as a reference in filling alternatives based on criteria to reduce the subjectivity of the AHP method in determining the most effective type of gamification based on the criteria of Click-Through Rate (CTR), Conversion Rate (CR), and Impression. The research results show that the Memory Card type of gamification is the most effective type with the potential to increase consumer engagement. This approach is expected to serve as a reference for e-commerce platforms in designing more effective and data-driven gamification strategies.
Clustering of Earthquakes on The Island of Java Using K-Means Algorithm Based on Magnitude and Depth Viki Flendiansyah; Hakim, Dimara Kusuma; Feri Wibowo; Agung Purwo Wicaksono
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2397

Abstract

Indonesia is one of the countries with a high level of earthquake vulnerability because it is located in the Pacific Ring of Fire. Java Island, as the most populous region and the center of the national economy, has a great risk of earthquake impacts. This study aims to analyze earthquakes in Java Island during the 2019-2024 period using the K-Means algorithm. Clustering the data based on magnitude, depth, location, and time of occurrence resulted in three clusters that reflect the characteristics of earthquakes in the region. This clustering provides important insights into the distribution and intensity of earthquakes in Java. The information obtained can be used to support disaster mitigation efforts more strategically. The government and community are expected to be able to increase preparedness for disaster risks and design effective mitigation policies to minimize the impact of future earthquakes. This research shows the great potential of applying data-driven technology as a basis for decision-making in disaster mitigation in Indonesia.
An Analysis and Forecasting of Electricity Demand Using the Triple Exponential Smoothing Method Aulia Nur Aini; Hakim, Dimara Kusuma; Feri Wibowo; Elindra Ambar Pambudi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2483

Abstract

Electricity is a basic necessity required in daily life, supporting various activities, including economic development. The growing demand for electricity requires reliable and efficient planning and management of the power system. Electricity demand forecasting is essential due to its fluctuating nature and seasonal patterns. This study aims to forecast electricity demand using the Triple Exponential Smoothing method with data from the Australian Energy Market Operator (AEMO) for the New South Wales region, Australia, covering the period from January 2015 to February 2025. This method is chosen because it effectively handles time series data patterns consisting of level, trend, and seasonal components. The forecasting results show that this method is capable of closely following the actual data patterns and produces a Mean Absolute Percentage Error (MAPE) of 2.89%, indicating a very good performance. This model is expected to serve as a basis for decision-making in anticipating future fluctuations in electricity demand.
Co-Authors Abid Yanuar Badharudin Achmad Fauzan Achmad Fauzan, Achmad Agung Purwo Wicaksono Agung Purwo Wicaksono Agung Purwo Wicaksono Agung Purwo Wicaksono Agus Harjoko Annisa Dwi Risqi Apriliani, Alvina Gian Ari Purnomo Atmojo, Bimo Wijaya Aulia Nur Aini Az-Zahra, Juna Fatimatuz Damarsiwi, Dyah Kartika Dewi Ika Octavia Dimara Kusuma Hakim Dwi Aryanto Dzurriati, Chusnia Eksa Rusdiyana, Eksa Eksa, Sendika Kurnia Elindra Ambar Pambudi Eny Lestari Ermadi Satriya Wijaya, Ermadi Satriya Erna Tusliyanti Faatin, Aaliyah Fiantin, Sisca Fitriani, Maulida Ayu Hadi Pramono Hapsari, Sekar Widi Harjono Harjono Hindayati Mustafidah Ichsan, Maulana Kesy Apriansyah Khumaira, Aqila Nurul Lahan Adi Purwanto Lahan Adi Purwanto Lahan Adi Purwanto Larasati, Sarah Cantika Mahendra, Ferdyan Oka Marisma, Murni Maulana, Fadly Safyuddin Mr. Harjono, Mr. Muhammad Hamka Muhammad Hamka Mukhlis Prasetyo Aji Nur Budiyanto, Choirul Wahyu Nur Isna Inayati pambudi, elindra ambar Purnomo, Muhammad Ikhwannusyifa Putri, Febby Anisa Rakhmatal Azza, Brillan Nala Retno Setyowati, Retno Ridho Muktiadi Safira, Nuzulia Nur Saputri, Devi Sa’diyah, Khalimatus Sigit Sugiyanto Sigit Sugiyanto Sigit Sugiyanto Sugihardjo Sugihardjo SUPRIYONO Supriyono Supriyono Teguh Marhendi Tito Pinandita Viki Flendiansyah