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All Journal Jurnal Simetris Rekursif: Jurnal Informatika Jurnal Pseudocode Jurnal SOLMA Jurnal Eksplora Informatika Indonesian Journal of Computer Science and Engineering
Desi Andreswari
University of Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Other

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Journal : Indonesian Journal of Computer Science and Engineering

 1 
Implementasi Metode Vcirs dan Certainty Factor pada Sistem Pakar Identifikasi Defisiensi Unsur Hara, Hama, dan Penyakit Tanaman Jeruk Kalamansi serta Rekomendasi Lokasi Toko Pertanian Dwi Safitri, Dania; Andreswari, Desi; Ginting , Sempurna br.
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Nomor 01, Mei 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v2i01.76

Abstract

Jeruk kalamansi merupakan salah satu produk unggulan Provinsi Bengkulu yang dikenal dengan aroma khas dan kandungan flavonoid tinggi. Menurut data Badan Pusat Statistik (BPS) Provinsi Bengkulu, produksi jeruk di Kota Bengkulu mengalami penurunan signifikan dari 260 kuintal pada tahun 2020 menjadi 66 kuintal pada tahun 2021, atau turun sebesar 74,62 persen. Produksi jeruk kalamansi sering terhambat oleh keterbatasan pengetahuan petani dalam mengidentifikasi dan menangani permasalahan defisiensi hara, hama, dan penyakit tanaman, yang menyebabkan penurunan produksi dan kualitas buah. Meskipun para petani memiliki banyak pengalaman dan pengetahuan praktis, mereka sering merasa bingung dan kesulitan dalam membedakan dan memahami semua jenis permasalahan yang mungkin terjadi pada tanaman mereka. Untuk mengatasi masalah ini, diperlukan sistem yang dapat mengidentifikasi berbagai permasalahan tanaman jeruk kalamansi serta memberikan solusi penanganan dan rekomendasi lokasi toko pertanian. Sistem ini menggunakan metode Variable-Centered Intelligent Rule System dan Certainty Factor berbasis website, membantu petani menyelesaikan masalah tanpa harus bertemu langsung dengan ahli. Pengujian terhadap 41 data uji menunjukkan akurasi sistem sebesar 92%, dan pengujian blackbox testing dengan 50 skenario menunjukkan akurasi fungsional sistem sebesar 100%. Dengan demikian, sistem ini efektif dalam mengidentifikasi dan menangani permasalahan defisiensi unsur hara, hama, dan penyakit pada tanaman jeruk kalamansi.
Implementing an Extention to The Technology Acceptance Model (TAM) to Evaluate User Acceptance of Identitas Kependudukan Digital (IKD) Wijanarko, Andang; Siregar, Michael Exaudi; Andreswari, Desi
Indonesian Journal of Computer Science and Engineering Vol. 1 No. 01 (2024): IJCSE Volume 01 Nomor 01, Juni 2024
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The objective of this study is to assess user acceptance and the factors that impact the adoption and usage of the Identitas Kependudukan Digital (IKD) application. Several significant technological obstacles arose during the implementation of IKD. Additional investigation is required to ascertain user satisfaction with applications that employ the technology acceptance model (TAM) technique. This technique combines an important aspect, specifically security. The research sample consisted of 100 participants from Bengkulu City who had used the IKD application. The data was analyzed using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) methodology. The study's findings indicate that the acceptance status of IKD application users in Bengkulu city is 4.42, which corresponds to the level of agree. This suggests that the citizens of Bengkulu city have effectively adopted the IKD application. The SEM-PLS approach produced analytical data that demonstrate five factors that influence users' use of the IKD application: perceived usefulness, perceived ease of use, security, attitude towards usage, and behavioral intention to use.
Employing the Technology Readiness Index (TRI) to Evaluate Customer Readiness for Future Adoption of The Metaverse in Virtual Branch Digital Banking Services Wijanarko, Andang; Syafitri, Arinda; Andreswari, Desi
Indonesian Journal of Computer Science and Engineering Vol. 1 No. 02 (2024): IJCSE Volume 01, Nomor 02, November 2024
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v1i02.109

Abstract

Metaverse banking integrates traditional financial services within a virtual environment, enabling alternative transaction channels through augmented reality (AR) and virtual reality (VR). By 2030, it is projected that nearly all bank clients will utilize these technologies for banking transactions. Although existing studies have explored metaverse adoption, there remains a significant research gap regarding client readiness for this transition. This study addresses this gap by examining customer readiness for metaverse banking using a quantitative approach. Data were collected through questionnaires distributed to 100 respondents in Bengkulu, Indonesia, and analyzed using the Technology Readiness Index (TRI) and SmartPLS 4 software. The findings indicate that customers in Bengkulu exhibit a readiness for virtual digital banking services in the metaverse, with a TRI score of 2.37 among respondents in the low technology readiness category. This score reflects a generally optimistic and innovative attitude toward metaverse banking, although accompanied by concerns about technological security. The "Innovative" component within the TRI showed a significant impact on potential metaverse technology adoption, suggesting that users are willing to independently explore and adopt this technology. This study contributes to the understanding of client preparedness and potential adoption of metaverse banking, highlighting both the enthusiasm and reservations held by prospective users.
Ekstraksi Fitur Menggunakan Scale Invariant Feature Transform untuk Klasifikasi Jenis Sampah Ernawati; andreswari, Desi; Erlansari, Aan; Coastera, Funny Faraday
Indonesian Journal of Computer Science and Engineering Vol. 1 No. 02 (2024): IJCSE Volume 01, Nomor 02, November 2024
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v1i02.119

Abstract

Sampah mencakup semua material yang dihasilkan sebagai akibat dari aktivitas manusia dan masyarakat namun telah tidak lagu berfungsi atau sudah tidak digunakan lagi. Dalam pengelolaan sampah, masyarakat perlu memilah sampah sesuai dengan jenis dan sifatnya, sehingga lebih mudah untuk didaur ulang. Proses pemilahan sampah menjadi aktivitas yang berbahaya bagi petugas kebersihan dan masyarakat. Pemilahan sampah berbasis teknologi AI saat ini mampu mengenali jenis sampah berdasarkan citra. Untuk menghasilkan pengenalan citra, perlu dilakukan proses ekstraksi fitur dengan metode SIFT, mengambil fitur khusus dari objek sampah yang dapat menggambarkan karakteristik objek tersebut. Fitur yang diperoleh akan menjadi input pada proses klasifikasi dengan metode K-NN yang akan mengenali sampah berdasarkan jenisnya. Penelitian ini menghasilkan akurasi 56,7% .
Co-Authors Aan Erlansari Alfareza, Muhammad Yusril Azaharah, Diyah Ishita Balqis, Nabilatul Coastera, Funny Faraday Dwi Jayanto, Paksi Dwi Safitri, Dania Egisthi, Vonny Afriyona Epana Sari, Renti Ernawati Ernawati Ernawati Funny Farady Coastera Funny Farady Coastera, Funny Farady Ginting , Sempurna br. Ginting, Sempurna br Hasian Lumbanraja, Joi Pebrianty Julia Purnama Sari Julia Purnama Sari Juwita, Fatma Mochammad Yusa, Mochammad Oktoeberza, Widhia KZ Rima Yanti Nasution, Nofa Safitri, Hanifah Nur Sarwono, Sarwit Siregar, Michael Exaudi Syafitri, Arinda Tatik Suteky Tiara Sella, Miranda Wahyudi, Rahmat Fikri Wijanarko, Andang Winda P, Desi Ade Yudi Setiawan