Article Per Year (5 Year)
p-Index From 2021 - 2026
2.879
P-Index
This Author published in this journals
All Journal Jurnal Masyarakat Informatika 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

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
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.
Analisis Komparatif Metode Peningkatan Kontras Citra Bawah Air Menggunakan HE, AHE, dan CLAHE Ernawati, Ernawati; Oktoeberza, Widhia KZ; Andreswari, Desi; Purnama Sari, Julia; Erlansari, Aan; Farady Coastera, Funny; Dwi Jayanto, Paksi
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.42151

Abstract

significant challenge in the field of digital image processing due to poor lighting conditions and uneven intensity distribution. This study aims to compare three contrast enhancement techniques Histogram Equalization (HE), Adaptive Histogram Equalization (AHE), and Contrast Limited Adaptive Histogram Equalization (CLAHE) applied to underwater imagery. The evaluation was conducted using quantitative metrics including entropy, contrast (RMS), and Structural Similarity Index (SSIM) to assess the improvement in image detail, intensity distribution, and structural similarity to the original image. Experimental results indicate that AHE achieves the highest entropy values, reflecting a significant enhancement of local information. HE provides the highest contrast values but tends to compromise the structural integrity of the image. CLAHE demonstrates the most balanced performance, producing the highest SSIM scores while maintaining stable enhancements in both contrast and detail. Based on these findings, CLAHE is recommended as the most effective contrast enhancement technique for underwater images, as it improves visual quality while preserving the original image structure. Key words : Underwater image enhancement; Contrast enhancement; CLAHE; HE; AHE.
Analisis Pengaruh Usability, Information Quality, Service Interaction Quality terhadap Kepuasan Pengguna SLAWE Alfareza, Muhammad Yusril; Andreswari, Desi; Sari, Julia Purnama
Eksplora Informatika Vol 14 No 1 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v14i1.1098

Abstract

Dukcapil Kota Bengkulu telah menerapkan Sistem Informasi dalam pengelolaan dan penyimpanan informasi data kependudukan dari masyarakat Kota Bengkulu, salah satu sistem Informasi yang dimiliki dukcapil kota Bengkulu yaitu Sistem Layanan Administrasi Warga Elektronik (SLAWE). Terdapat beberapa masalah yang ditemukan seperti Warga selalu lupa menyimpan nomor resi untuk melacak proses permintaan layanan karena nomor resi hanya ditampilkan satu kali setelah registrasi, form upload kartu keluarga/KTP Lama/KTP Rusak/Surat Keterangan Hilang tidak diberikan informasi terkait format foto, masih banyak warga yang tidak mengerti cara mengupload persyaratan yang ada. Maka dari itu, perlu adanya penelitian untuk mengetahui pengaruh usability, information quality, service interaction quality terhadap kepuasan pengguna sistem layanan administrasi warga elektronik (SLAWE) pada Dinas Kependudukan dan Catatan sipil kota Bengkulu. Penelitian ini bertujuan untuk melihat pengaruh usability, information quality, service interaction quality terhadap kepuasan pengguna sistem layanan administrasi warga elektronik (SLAWE) pada Dinas Kependudukan dan Catatan sipil kota Bengkulu. Metode yang digunakan pada penelitian ini ialah Webqual 4.0. Analisis data menggunakan metode Structural Equation Modeling berjenis Partial Least Square dengan bantuan aplikasi SmartPLS. Dari 3 hipotesis, terdapat 1 hipotesis yang ditolak yaitu pengaruh usability terhadap kepuasan pengguna dan 2 hipotesis dinyatakan signifikan dan diterima yaitu information quality dan service interaction quality dinyatakan berpengaruh positif dan signifikan. Tidak ditemukannya pengaruh usability terhadap kepuasan pengguna ini disebabkan pengguna menghadapi kendala yang signifikan untuk memahami tata cara penggunaan website, sulitnya dalam menavigasi atau mencari informasi yang dibutuhkan dalam website secara cepat dan kesulitan pengguna dalam menggunakan sistem website, hal ini bisa mencakup masalah seperti lambatnya kinerja website, kebingungan dalam pengisian form yang dibutuhkan. Information Quality berpengaruh terhadap kepuasan pengguna sistem layanan administrasi warga elektronik (SLAWE) pada Dukcapil Kota Bengkulu. Sehingga bisa disimpulkan semakin relevan, akurat dan up to-date informasi yang diberikan pada sistem layanan administrasi warga elektronik (SLAWE) di Dukcapil Kota Bengkulu maka akan semakin puas pengguna dalam menggunakan sistem layanan administrasi warga elektronik (SLAWE). Service interation quality berpengaruh kepada kepuasan pengguna sistem layanan administrasi warga elektronik (SLAWE) pada Dukcapil Kota Bengkulu. Hal ini menunjukkan semakin baik dan ditingkatkan kualitas layanan, rasa aman saat menggunakan sistem layanan administrasi warga elektronik (SLAWE), memberikan layanan yang sesuai yang dijanjikan maka akan semakin baik dan meningkatkan kepuasan pengguna dalam menggunakan sistem layanan administrasi warga elektronik (SLAWE).
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% .
Upaya Peningkatan Transaksi Penjualan melalui Teknik Promosi Stories untuk Meningkatkan Penjualan pada UMKM XYZ Yusa, Mochammad; Coastera, Funny Farady; Andreswari, Desi
Jurnal SOLMA Vol. 12 No. 3 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i1.12850

Abstract

Background: Micro, Small, and Medium Enterprises (MSMEs) play a vital role in a country's economic growth. However, the main challenges faced by MSMEs are access to technology and effective marketing. This activity aims to provide training and mentoring to MSME XYZ in Bengkulu to optimize the use of social media, especially Instagram and WhatsApp, as promotional tools. Method: The implementation method of the activity begins with the preparation phase, which includes providing training materials. It is followed by the execution of the activity, which is focused on enhancing the capacity of employees in utilizing social media as a marketing strategy to expand reach and establish relationships with the target market. Evaluation is conducted by monitoring the increase in sales transactions for three months after the implementation of the promotion technique. Result: The results show a significant improvement in sales performance, indicating the success of the marketing strategy through social media story techniques.  Conclusion: The story technique has increased the number of sales transactions, demonstrated by an increase from an average of 6-8 transactions to 11-13 transactions per day.
Penerapan Metode Dempster Shafer Pada Sistem Pakar Identifikasi Hama Tanaman Buah Naga Merah Safitri, Hanifah Nur; Andreswari, Desi; Ginting, Sempurna Br
Jurnal Pseudocode Vol 12 No 2 (2025): Volume 12 Nomor 2 September 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.12.2.60-70

Abstract

Red dragon fruit is a type of fruit that has bioactive components such as flavonoids, phenolics, betacyanins and anthocyanins. Red dragon fruit has a distinctive combination of flavors, namely sweet, sour and refreshingly savory. Apart from that, red dragon fruit also has several health benefits so this fruit is liked by many people. However, a lack of knowledge in maintaining red dragon fruit from pest attacks can cause the growth of red dragon fruit to be less than optimal and result in crop failure. Therefore, an expert system for identifying red dragon fruit pests is needed to minimize the risk of crop failure. The use of an expert system in identifying red dragon fruit pests by applying the Dempster Shafer method can determine the appropriate treatment thereby reducing the percentage of crop failure. The Dempster Shafer method is used to determine the level of certainty of a symptom and provide an accurate level of confidence. The results of this expert system test show that the identification results are close to the truth from an expert using 9 types of pests and 24 symptoms. The resulting accuracy level has a percentage of 100%. Keywords: Red Dragon Fruit, Expert System, Dempster Shafer Method
Penerapan Metode Multi Attribute Utility Theory (MAUT) Untuk Menentukan Prioritas Penerima Bantuan Bencana Alam (Studi Kasus: BPBD Bengkulu Tengah) Wahyudi, Rahmat Fikri; Andreswari, Desi; Purnama Sari, Julia
Rekursif: Jurnal Informatika Vol 13 No 2 (2025): Volume 13 Nomor 2 November 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i2.43289

Abstract

Indonesia, as an equatorial archipelago located between the Asian and Australian continents, faces high risks of natural disasters, particularly floods and landslides. These disasters cause various adverse impacts, such as infrastructure damage, psychological trauma, and social and economic losses for victims. The Regional Disaster Management Agency (BPBD), as the primary institution for disaster response, must provide effective services for community recovery, thus requiring a fast and accurate system. Therefore, this research aims to develop a Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method to assist BPBD in determining priority recipients of disaster aid. The advantage of the MAUT method lies in its ability to process multi-criteria decisions, consider stakeholder preferences, and produce quantitative and transparent outputs. The system was built using PHP and designed with Unified Modeling Language (UML). Testing was conducted on 16 alternative datasets, producing a priority ranking based on the highest scores. Accuracy tests showed an 87.5% success rate, while black-box testing achieved 100%. The highest preference score (0.92083) proves MAUT's accuracy in decision-making.
Implementasi Metode Topsis Pada Sistem Pendukung Keputusan Penentuan Prioritas Penerima Bantuan Mesin Untuk Sentra Ikm Berbasis Website (Studi Kasus : Dinas Perindustrian Dan Perdagangan Provinsi Bengkulu) Monica, Exca Wella; Sari, Julia Purnama; Andreswari, Desi
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.84-90

Abstract

The industrial sector is one of the economic sectors being developed in Indonesia as a driving force for the progress of other economic sectors. One form of this is the Small and Medium Industries (SMEs), which are quite dependent on government assistance, both in terms of capital and equipment. One of the government programs to advance SMEs is the provision of machinery assistance to SME centers. In practice, the selection process for machine assistance recipients at the Bengkulu Industry and Trade Office still uses Microsoft Excel, which has limitations, including the risk of human error, logical errors in formulas, differences in results due to rounding numbers, and a lack of objectivity in assessments. Therefore, a Decision Support System (DSS) is needed to minimize errors, producing more objective, transparent, and accurate decisions. This study uses the TOPSIS method to calculate the preference value of SMEs and data aggregation techniques (averages) to calculate the final value of SME centers. The resulting output is a ranking of SME centers eligible for machine assistance. Of the total of 26 comparisons between the rankings from the system and the rankings from the Industry and Trade Office, 20 rankings were obtained that were the same, so that the system accuracy reached 76.92%. Furthermore, the system's feasibility test achieved an interval score of 4.6, or 92%, which is considered very good. The final result of this research is the creation of a website-based decision support system for prioritizing recipients of machine assistance for small and medium enterprises SME centers.
Co-Authors Aan Erlansari Alfareza, Muhammad Yusril Azaharah, Diyah Ishita Balqis, Nabilatul Coastera, Funny Faraday Dwi Jayanto, Paksi Dwi Safitri, Dania Egisthi, Vonny Afriyona Endina Putri Purwandari 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 Manurung, Wahyu Ozorah Mochammad Yusa, Mochammad Monica, Exca Wella Oktoeberza, Widhia KZ Rima Yanti Nasution, Nofa Rusdi Efendi 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