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All Journal Indonesian Journal on Computing (Indo-JC) PRIMA : Portal Riset dan Inovasi Pengabdian Masyarakat eProceedings of Engineering eProceedings of Management Jurnal Sistem Informasi
Yusza Reditya Murti
Universitas Telkom
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Veterinary

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Determining N-Days Tourist Route Using Swap Operator Based Artificial Bee Colony Algorithm Ayunda Farah Istiqamah; Z K Abdurahman Baizal; Yusza Reditya Murti
Indonesia Journal on Computing (Indo-JC) Vol. 5 No. 1 (2020): Maret, 2020
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2020.5.1.382

Abstract

Traveling is one of the activities chosen by many people to spend holidays. Some tourists want to go on vacation in a place they have never visited before, so they need a tool to plan a tour. Planning this tour includes determining tourist route. We analogize the determination of tourist routes using Traveling Salesman Problem (TSP). The main objective of this study was to find the optimal tourist route using Swap Operator Based Artificial Bee Colony Algorithm. We use Multi-Attribute Utility Theory (MAUT) to accommodate user needs for the route that recommended by the system. The criteria for user preferences used in this study are: 1) routes with as many tourist attractions as possible, 2) routes that pass popular destinations, and 3) routes with minimal costs. Based on the experiment results, Swap Operator Based Artificial Bee Colony gives more optimal results than the Simulated Annealing, especially in terms of the number of tourist attractions (nodes) that can be visited in one trip.Keywords: Multi-Attribute Utility Theory, Swap Operator Based Artificial Bee Colony Algorithm, Traveling Salesman Problem
Analisa Dan Perancangan Sistem Informasi Untuk Software House Berbasis Aplikasi Web Fitriana Dwi Lestari; Budhi Irawan; Yusza Redityamurti
eProceedings of Engineering Vol 2, No 2 (2015): Agustus, 2015
Publisher : eProceedings of Engineering

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Abstract

Abstrak Bisnis dalam kehidupan tentu sangat akrab bagi masyarakat. Dalam melakukan bisnis di jaman yang sudah maju sekarang ini, tentu software memiliki peran besar dalam bisnis. Software house adalah perusahaan yang menjual jasa pembuatan software untuk membuat aplikasi khusus untuk kliennya. Untuk memudahkan dalam melakukan transaksi, berkomunikasi, dan mengetahui progress proyek antara software house dan klien atau orang yang ingin membeli jasa, maka dibuatlah sistem informasi yang menjembatani antara keduanya sehingga lebih mudah dalam melakukan transaksi, berkomunikasi, dan mengetahui progress proyek. Aplikasi yang akan dibuat merupakan aplikasi web sebagai sistem informasi proyek aplikasi dari sisi klien, manajer proyek, dan programmer yang datanya akan disimpan di server. Dari aplikasi sistem informasi tersebut, manajer proyek bisa melihat list requirement dari klien, klien bisa melihat informasi tentang progress proyek baik secara garis besar maupun detil, rincian biaya dari proyek tersebut, dan performansi programmer berdasarkan lama banyaknya pekerjaan yang ditangani. Kata kunci : Software house, Sistem Informasi, Invoice, Aplikasi web
Examining Students’ Motivation to Continue Using AI-Chatbot for Academic Assignment Ramadan, Ferdhy; Sari, Puspita Kencana; Murti, Yusza Reditya
Jurnal Sistem Informasi Vol. 20 No. 2 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i2.1417

Abstract

This study focuses on the motivations of engaged Indonesian university students who frequently utilize the AI-chatbot to assist them with their academic work. This research modifies Post-Acceptance of Information System Continue model with the ECT (Expectation Confirmation Theory) and TAM (Technology Acceptance Model) to explore constructs to determine what motivates students to continue using the emerging AI-chatbot, namely BING. The findings revealed a positive and substantial correlation between Perceived Information Quality (PEIQ), Confirmation (CON), Perceived Usefulness (PEU), Perceived Enjoyment (PEE), Satisfaction (SAT), and Continue Intention (COI). Confirmation (CON) has a significant impact on how usefulness and enjoyment BING is perceived, which influences Satisfaction and the decision to continue using BING. Confirmation (CON) and Perceived Ease of Use (PEEOU) have no clear correlation with Satisfaction (SAT). Some contributions are discussed in this study, both theoretically and practically.
Analisis Faktor-Faktor Yang Mempengaruhi Kesediaan Konsumen Untuk Membeli Produk Private Label Brand (Studi Pada Produk Private Label Brand Indomaret Di Kota Bandung) Navila, Yuniar Saidatul Qisan; Trianasari, Nurvita; Murti, Yusza Reditya
eProceedings of Management Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Management

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Abstract

Penelitian ini bertujuan untuk menganalisis hubungan antara citra toko, keakraban dengan produk Private Label Brand(PLB), electronic Word of Mouth (e-WOM), persepsi kualitas produk PLB, persepsi risiko, dan kesadaran hargaterhadap sikap konsumen serta kesediaan mereka untuk membeli produk PLB di Indomaret, Kota Bandung. Penelitianini menggunakan pendekatan kuantitatif dengan pengumpulan data melalui survei daring menggunakan kuesionerGoogle Form. Responden terdiri dari konsumen Indomaret yang memenuhi kriteria penelitian. Data dianalisismenggunakan metode Structural Equation Modeling (SEM) dengan perangkat lunak SmartPLS 4.0, mencakup analisisdeskriptif, pengujian outer model, Goodness of Fit (GoF), inner model, koefisien jalur, R Square (R²), dan uji hipotesis.Hasil penelitian menunjukkan bahwa citra toko, e-WOM, keakraban dengan produk PLB, persepsi kualitas, dankesadaran harga memiliki pengaruh positif terhadap sikap konsumen terhadap produk PLB. Sikap konsumen tersebutjuga berpengaruh signifikan terhadap kesediaan mereka membeli produk PLB. Namun, persepsi risiko memberikanpengaruh negatif terhadap sikap dan kesediaan konsumen untuk membeli. Penelitian ini memberikan wawasan barubagi pengelola ritel mengenai strategi untuk meningkatkan kesediaan konsumen membeli produk PLB, seperti memperbaiki persepsi kualitas dan meminimalkan risiko yang dirasakan. Hasil penelitian juga diharapkan dapatmenjadi referensi untuk penelitian lebih lanjut tentang faktor-faktor yang memengaruhi keputusan konsumen dalammembeli produk private label di berbagai konteks. Kata Kunci-citra toko, persepsi kualitas, e-WOM, keakraban dengan PLB,kesadaran harga, sikap terhadap produk,persepsi risiko, kesediaan konsumen.
Pendampingan dan Pelatihan Pengembangan Potensi Diri melalui Keterampilan Komunikasi dan Perencanaan Masa Depan di Yayasan Al Falah At Tirmidzi Alfanur, Farah; Murti, Yusza Reditya; Alfaiza, Salsabila Aisyah
PORTAL RISET DAN INOVASI PENGABDIAN MASYARAKAT Vol. 4 No. 2 (2025): MARCH
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/prima.v4i2.1783

Abstract

Effective communication skills and mature future planning are essential competencies for individuals facing educational and professional worlds. However, many students still experience difficulties in developing their self-potential due to inadequate communication skills and limited understanding of future planning. To address these issues, the Training and Mentoring Program for Self-Potential Development Strategies with Communication Skills Techniques and Future Planning was designed to equip students with the necessary skills to become more confident and have clear future direction. This community service program was implemented at Yayasan Al Falah At Tirmidzi Ciganitri using practice-based training methods and intensive mentoring. The main activities included communication skills training, public speaking techniques, self-potential development, and career planning through career roadmap development. The approaches used encompassed interactive methods, simulations, group discussions, and individual mentoring to ensure participants could apply the knowledge gained in real life. The results of this program are expected to improve participants' communication abilities, both in expressing opinions effectively and in public speaking. Additionally, participants are better able to identify their interests and talents and develop more focused educational and future plans. Thus, this program not only provides short-term benefits but also contributes to building participants' independence and readiness in facing future challenges.
Pengembangan Ekosistem Pelayanan Publik Digital Terpadu di Kelurahan Sukagalih Kabupaten Garut Murti, Yusza Reditya; Irawan, Herry; Ramadhani, Dian
PORTAL RISET DAN INOVASI PENGABDIAN MASYARAKAT Vol. 4 No. 3 (2025): JUNE
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/prima.v4i3.1792

Abstract

Digital transformation in public services has emerged as an urgent necessity to enhance operational efficiency and effectiveness across various levels of government. Sukagalih Village, located in Tarogong Kidul District, Garut Regency, with a population of 17,145 residents and 12,000 households, faces complex challenges in public service delivery. The primary issues encompass manual administrative systems that cause operational inefficiencies, challenges in tracking demographic data for social assistance and community empowerment programs, and fragmented regional monographic data that hinders data-driven decision-making. Additional challenges including risks of illegal levies and lack of transparency in public services further reinforce the urgency for digital solution implementation. This research aims to develop an integrated digital public service ecosystem that incorporates administrative service management information systems and geospatial-based analytics dashboards in Sukagalih Village. The system development approach follows the System Development Life Cycle (SDLC) framework with the Scrum methodology, involving village officials participatively throughout each development stage. The system is designed reduce physical office visits, featuring document upload capabilities through digital platforms and analytics dashboards for empowerment program monitoring. The implementation of this digital ecosystem is expected to reduce administrative document processing time, improve the accuracy of regional monographic data with precise geospatial coordinates, minimize illegal levy practices, and enhance transparency and accountability in public services. The research outcomes are projected to serve as a smart village model that can be adopted by other villages or sub-districts in realizing transparent, accountable, and data-driven governance.
Analisis Perilaku Konsumen Terhadap Penerapan Artificial Intelligence Pada Ecommerce Yang Mempengaruhi Repurchase Intention Di Tokopedia Naufal, Rafli Dwi; Jumhur, Helni Mutiarsih; Murti, Yusza Reditya
eProceedings of Management Vol. 11 No. 5 (2024): Oktober 2024
Publisher : eProceedings of Management

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Abstract

Pertumbuhan teknologi dalam era digital telah mendorong perkembangan yang pesat di sektor E- commerce diIndonesia, dengan pengguna yang mencapai lebih dari 196,47 juta pada tahun 2023. Salah satu inovasi teknologiyang kini digunakan oleh platform E-commerce, seperti Tokopedia, adalah Artificial Intelligence (AI), yangberperan penting dalam memahami perilaku konsumen dan meningkatkan pengalaman pelanggan. Penelitian inibertujuan untuk menganalisis pengaruh penerapan AI pada E- commerce terhadap repurchase intention diTokopedia, dengan fokus pada aspek consumer engagement di media sosial, conversion rate optimization, dansatisfying consumer experience. Penelitian ini menggunakan metode kuantitatif, melibatkan penyebaran kuesionerkepada pengguna Tokopedia di Kota Bandung dengan jumlah 385 responden . Data yang diperoleh dianalisismenggunakan metode SEM-PLS untuk menguji hubungan antara variabel-variabel yang diteliti. Hasil penelitianmenunjukkan bahwa AI memiliki pengaruh positif terhadap consumer engagement dan conversion rateoptimization. Selanjutnya, kedua faktor ini berkontribusi pada peningkatan satisfying consumer experience, yangpada akhirnya berdampak positif terhadap repurchase intention pengguna Tokopedia. Selain itu, kebiasaankonsumen juga terbukti memoderasi hubungan antara satisfying consumer experience dan repurchase intention.Penelitian ini memberikan implikasi praktis bagi perusahaan E-commerce dalam mengoptimalkan penggunaan AIuntuk meningkatkan loyalitas pelanggan dan daya saing di pasar. Tokopedia disarankan untuk terusmengembangkan teknologi AI dan strategi pemasaran yang lebih personal, serta meningkatkan kualitas interaksi dimedia sosial guna memaksimalkan kepuasan pelanggan dan mendorong niat pembelian ulang. Kata kunci-artificial intelligence, e-commerce, repurchase intention, perilaku konsumen, Tokopedia.
Co-Authors Alfaiza, Salsabila Aisyah Ayunda Farah Istiqamah Budhi Irawan Farah Alfanur Fitriana Dwi Lestari Helni Mutiarsih Jumhur Herry Irawan, Herry Naufal, Rafli Dwi Navila, Yuniar Saidatul Qisan Nurvita Trianasari Puspita Kencana Sari Ramadan, Ferdhy Ramadhani, Dian ZK Abdurahman Baizal