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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah JOURNAL OF SCIENCE AND SOCIAL RESEARCH JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Informatika Kaputama (JIK) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Zonasi: Jurnal Sistem Informasi Jurnal Vokasi JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Inovasi Pendidikan dan Sains Innovation in Research of Informatics (INNOVATICS) Jurnal Fakultas Teknik UNISA Kuningan Journal of Electrical Engineering and Computer (JEECOM) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) Jurnal Tika Bulletin of Computer Science Research Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Solusi Masyarakat (JSM) Jurnal Medika: Medika Jurnal Solusi Masyarakat Dikara Science: Indonesian Journal of Science
Yulisda, Desvina
Universitas Malikussaleh
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Analisis Performa Variational Quantum Classifier (VQC) dengan ZZ Feature Map dan Angle Encoding Untuk Mengidentifikasi Serangan Jantung Rahma, Hilmia; Dahlan Abdullah; Desvina Yulisda
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.712

Abstract

Heart attact is one of the leading causes of death worldwide, with mortality increasing due to delayed diagnosis and limited facilities in some regions. Early detection during the crucial first hour after symptoms appear (the golden hour) is crucial for reducing mortality and improving patient prognosis. This study aims to evaluate the performance of the Quantum Neural Network (QNN) by implementing the Variational Quantum Classifier (VQC) model using two types of feature maps: ZZ Feature Map and Angle Encoding, for heart attack detection classification using datasets from Kaggle. The research process includes dataset collection, Exploratory Data Analysis (EDA), data preprocessing and splitting, model building using ZZ Feature Map and Angle Encoding, ending with model performance evaluation. The results showed that VQC using ZZ Feature Map achieved an accuracy of 52.27% with a confusion matrix showing suboptimal predictions and relatively low precision, recall, and F1-score values. Meanwhile, VQC using Angle Encoding achieves an accuracy of 68.18% with a confusion matrix that shows a higher number of correct predictions and better precision, recall, and F1-score results compared to VQC using ZZ Feature Map. Evaluation using a confusion matrix shows that the model with Angle Encoding can minimize the prediction error. However, the accuracy achieved is not yet optimal for direct clinical implementation. These findings underscore the need for further development to enhance model performance, while serving as a promising first step toward establishing a foundation for developing more optimal QNN methods in the future.
KLASIFIKASI TINGKAT KEBERHASILAN SURVIVAL RATE (SR) PADA PRODUKSI UDANG VANAME MENGGUNAKAN ALGORITMA NAÏVE BAYES Ar Razi; Desvina Yulisda
Ekasakti Jurnal Penelitian dan Pengabdian Vol. 4 No. 2 (2024): Ekasakti Jurnal Penelitian & Pegabdian (Mei 2024 - Oktober 2024)
Publisher : LPPM Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ejpp.v4i2.1080

Abstract

Data mining is the process of collecting and processing data with the aim of extracting important information from the data. This process can be done using software that uses mathematical calculations, statistics, or AI. Naive Bayes is the most common classification technique and has a high level of accuracy. Many studies on classification have used the Naive Bayes algorithm. Naive Bayes is a simple probability classification technique used to assume that the explanatory variables are independent. The focus of learning this algorithm is probability estimation. One of the advantages of the naive Bayes algorithm is that the resulting error rate is lower. In addition, this algorithm has a higher level of accuracy and speed when used on larger datasets. This research uses the Naïve Bayes algorithm to classify the Survival Rate (SR) of Vaname shrimp into three classes, namely high, medium and low. The number of sample data used was 200 data which was divided into 2 categories, namely 170 training data and 30 testing data. The variables used in this research are temperature, PH, DO (dissolved oxygen) and salinity. The classification was validated using a confusion matrix and produced an accuracy of 70.4%, precision of 98%, and recall of 79.7%.
ANALISIS KLASTERISASI DAN PERAMALAN HASIL KOMODITAS TANAMAN CABAI MENGGUNAKAN METODE K-MEDOIDS DAN FUZZY TIMES SERIES DI KABUPATEN LIMA PULUH KOTA Desvina Yulisda; Muthmainnah, Muthmainnah; Hisyam Maulana Hadi
Ekasakti Jurnal Penelitian dan Pengabdian Vol. 4 No. 2 (2024): Ekasakti Jurnal Penelitian & Pegabdian (Mei 2024 - Oktober 2024)
Publisher : LPPM Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/ejpp.v4i2.1081

Abstract

Chilli is one type of vegetable that is quite important in Indonesia, both as a commodity consumed domestically and as an export commodity. Lima Puluh Kota Regency is the centre of horticultural commodities in West Sumatra Province which continues to strive for development, especially in fruit and vegetable commodities in areas that are production centres in this area. Clustering is needed in this area because many sub-districts in Lima Puluh Kota Regency produce chilli commodities so that it can facilitate the government in determining which areas have the potential to increase and optimise the yield of chilli commodities. This research uses Cluster Analysis with the K-Medoids Algorithm method and forecasting using the Fuzzy Time Series method. The results obtained in clustering using the K-Medoids Algorithm on large chilli plants are Cluster 1; 2 sub-districts, namely Pangkalan District and Kapur IX District. Cluster 2; 7 sub-districts namely Gunuang Omeh District, Suliki District, Guguak District, Mungka District, Akabiluru District, Badger District, and Harau District. and Cluster 3; 4 sub-districts namely Payakumbuh District, Bukik Barisan District, Situjuah Limo Nagari District and Lareh Sago Halaban District. The clustering results on cayenne pepper are Cluster 1; 5 sub-districts, namely Suliki District, Mungka District, Lareh Sago Halaban District, Pangkalan District and Kapur IX District. Cluster 2; 5 sub-districts namely Guguak District, Akabiluru District, Luak District, Situjuah Limo Nagari District and Harau District, and Cluster 3; 3 sub-districts namely Gunuang Omeh District, Bukit Barisan District and Payakumbuh District. The forecasting results based on the Fuzzy Time Series algorithm for large chilli in the following year are 14313.4 Ton/Ha with a MAPE value of 37% and are 4367.8 Ton/Ha for cayenne pepper by 34% of MAPE value.
PERANCANGAN SISTEM INFORMASI PENGARSIPAN BUKU TANAH DI KANTOR PERTANAHAN KABUPATEN BIREUEN Yulisda, Desvina; Nurfasha , Salsa
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 2 (2021): Volume 5, Nomor 2, Juli 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i2.547

Abstract

Tanah merupakan hal penting bagi masyarakat maka dari itu diperlukan sistematika yang lengkap dalam hal penggunaan, pemanfaatan, kepemilikan, dan pembuatan hukum yang berkaitan dengan hal tersebut. Semua bertujuan untuk menghindari terjadinya sengketa tanah, sehingga data dan informasi buku tanah perlu di arsip. Salah satu permasalahan yang timbul dalam studi kasus pada Kantor Pertanahan Kabupaten Bireuen adalah ketidak efisienan pengolahan dan pengarsipan data buku tanah yang masih menggunakan sistem manual. Oleh sebab itu di kembangkan sebuah sistem pengarsipan buku tanah. Sistem dibangun dengan tahapan analisis kebutuhan, desain perancangan yang meliputi sistem pemodelan dengan menggunakan metode data flow diagram (DFD) dan menggunakan MYSQL server untuk database. Tujuan yang ingin dicapai melalui sistem yang dibangun adalah untuk membantu petugas Kantor Pertanahan Kabupaten Bireuen dalam melakukan pengolahan dan pengarsipan data buku tanah.
Penyuluhan Pembuatan Biopori Limbah Kulit Kopi di Desa Kenine Bener Meriah Al Kautsar Aidilof, Hafizh; Yulisda, Desvina; Yusdartono, Habib Muharry; Fitria, Rahma; Razi, Ar; Abdullah, Dahlan
Jurnal SOLMA Vol. 12 No. 1 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v12i1.10496

Abstract

Background: Salah satu faktor penentu kualitas dan produktivitas kopi yang dihasilkan adalah kualitas lahan kebun kopi. Diharapkan para petani dapat menjaga kualitas tanaman dengan perawatan melalui dukungan peningkatan unsur hara tanah pada lahan dengan bantuan pupuk kompos. Kegiatan ini dapat dilaksanakan dengan dukungan penuh dari kepala desa Kenine Bener Meriah dengan jumlah peserta sebanyak 26 orang masyarakat desa Kenine. Metode: Pada tahap pertama dilakukan pembuatan alat biopori dan alat sensor pH berbasis IoT yang kemudian di praktekkan langsung pada salah satu lahan kenun kopi masyarakat desa Kenine. Tim penyuluhan juga mengarahkan masyarakat untuk terjun langsung ke lapangan untuk melakukan simulasi penggunaan alat biopori ini. Selanjutnya tim memberikan pengarahan dan manfaat penggunaan alat biopori di bandingkan dengan kegiatan yang biasa dilakukan masyarakat untuk menyuburkan kebun mereka. Selanjutnya pada tahap evaluasi tim juga memantau hasil yang di dapat setelah penerapan biopori serta memantau pemakaian sensor pada kebun warga. Hasil: Peningkatan pada tumbuhan kopi yang dipakai alat biopori dan diharapkan produktivitas kopi juga meningkat seiring dengan pertumbuhan pokok kopi tersebut. Kesimpulan: Penggunaan pipa biopori untuk pembusukan limbah kulit kopi bermanfaat untuk menggemburkan tanah, menjadi pupuk kompos dan dapat menambah volume penyerapan air hujan.
Performance and Effectiveness Evaluation of the National Digital Samsat Using the PIECES Framework Fitria, Rahma; Syakhila, Amanda; Yulisda, Desvina; Hussain, Azham; Febriandirza, Arafat
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.15672

Abstract

This study evaluates the SIGNAL (National Digital Samsat) application using the PIECES framework, which includes six evaluation aspects: Performance, Information, Economics, Control, Efficiency, and Services. A questionnaire was distributed to 300 active users, and technical testing was conducted using Apptim to measure performance metrics. Results showed that most users were satisfied, with an average satisfaction score above 3.9 out of 5. Apptim test results also indicated stable technical performance, with average response times of 2.4 seconds, CPU usage at 18%, and memory usage at 170MB. However, minor issues related to document delivery delays, customer service responsiveness, and memory usage were identified. The study concludes that SIGNAL performs well overall and provides recommendations for targeted improvements to enhance efficiency and service quality.
PENERAPAN ISO 25010:2023 DALAM PENGUJIAN KUALITAS APLIKASI MY PELINDO PADA PT. PELINDO Maulida, Fika; Ikhwani, Muhammad; Yulisda, Desvina
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4176

Abstract

Aplikasi My Pelindo merupakan bentuk fasilitas kerja dari PT. Pelabuhan Indonesi untuk para pegawai dalam aksi dan menerima informasi melalui fitur-fitur yang ada. My Pelindo memiliki beberapa layanan yaitu seputar absensi (PCICO), pelaporan keuangan (PICO), dan Travel. Permasalahan yang terjadi pada layanan aplikasi yang digunakan oleh Perusahaan, ditemukan berbagai kendala pada sejumlah layanan, termaksud PCICO absensi, pelaporan keuangan (PICO), dan Travel. Permasalahan yang muncul meliputi aplikasi tidak dapat diakses dalam waktu tertentu, ketidakmampuan login pada aplikasi seperti PCICO, dan Travel, kegagalan dalam registrasi wajah, gagal absensi pada PCICO, serta berbagai masalah terkait tampilan, seperti tampilan pelaporan keuangan yang hilang pada PICO, dan ada data yang tidak muncul sesuai harapan, serta kendala dalam akses data seperti SPPS yang tidak muncul di Travel. Untuk meningkatkan kualitas aplikasi My Pelindo perlu dilakukan pengujian aplikasi My Pelindo salah satunya dengan cara standar ISO 25010:2023. Oleh karena itu, penelitian ini dilakukan untuk mengetahui kualitas aplikasi My Pelindo berdasarkan ISO 25010:2023 yang meliputi karakteristik functional suitability, performan efficiency, compability, interactioan capability, reliability, security, maintainability, flexibility, dan safety. Hasil dari penelitian yang sudah diteliti menunjukkan bahwa aplikasi My Pelindo memiliki kekuatan dalam hal functional suitability dan security, sementara kelemahan ditemukan pada performan efficiency, reliability, compability, interaction capability, ,maintainability, flexibility, dan safety, dimana berbagai masalah kendala seperti gagal login, error pada fitur absensi, data tidak ditemukan, data tidak terekan, dan masalah akses data yang berdampak pada efesiensi operasional. Rekomendasi yang diberikan diharapkan dapat membantu PT. Pelindo dalam melakukan pembaruan dan pengembangan aplikasi agar kualitas aplikasi My Pelindo tetap optimal.
Co-Authors -, Badriana -, Bakhtiar Agam Muarif Ahmad Fikri Ahmad Fikri Ahmad Nayan Akbar, Anggi Rizki Al Kautsar Aidilof, Hafizh Alfarizi, Reza Amalia, Nabila Ananda Faridhatul Ulva Andik Bintoro Angga Pratama Angga Pratama Ar Razi Ar Razi Ashari, Muhammad Rayhan Aulia, Rika Chairil Anwar Cut Aura Putri K.D Dahlan Abdullah Dedi Fariadi Dini Rizki Ebi Putra Eka Susanti Eka Susanti Emi Maulani Eri Saputra Fadhliani, Fadhliani Fajar, Mutiara Febriandirza, Arafat Habib Muharry Yusdartono Hanif Hanif Himmatur Rijal Hisyam Maulana Hadi Hussain, Azham Ida Ayu Putu Sri Widnyani Iswadi Iswadi Kamila, Raisya Khairul Anshar Khairul Anshar Kurniawati Kurniawati Kurniawati Laila, Dwi Nur'aini Marina Marina Maulida, Fika Melani, Siska Amelia Muhammad Aufa Aslami Muhammad Fauzan MUHAMMAD HABIB Muhammad Ikhwani Mukti Qamal Muliana, Erna Mulyawan, Rizka Munirul Ula Mutammimul Ula Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutiara Fajar Muzakir Nur Nita, Erlija Nosari, Yulia Nurdin Nurdin Nurfasha , Salsa Nurlaila, Rizka Nurul Hayati Harahap Perdinanta, Gita Rafika Rafika Rahayu Rahayu Rahma Fitria Rahma Fitria, Rahma Rahma, Hilmia Rahmah, Chatrine Aulia Razi, Ar Razif, Razif Reza Putra Rizka Mulyawan Rizki Setiawan Rizki, Dini Rizky Putra Fhonna Sahputra, Ilham Salsa Nurfasha Salwan, Defri Sayed Fachrurrazi Sri Wilujeng Susanti Susanti Syakhila, Amanda Syamsul Bahri Tarigan, Anjasmara Teguh Gunawan Veri Ilhadi Zulnazri, Z Zurhijjah Zurhijjah