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                  <text>VOL 9 NO 3 (2023)</text>
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                <text>Sistem Pakar Menggunakan Metode Forward Chaining Untuk Mendeteksi Kerusakan Jaringan Internet (Studi Kasus : Di Layanan Internet Diskominfotik Sumatera Barat)</text>
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                <text>Sistem Pakar,  Forward Chaining Kerusakan Jaringan Internet</text>
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                <text>Sistem informasi yang interaktif dapat membantu kinerja pegawai dalam mendukung program SPBE (Sistem Pemerintah Berbasis Elektronik. Dinas Kominfotik Sumatera Barat berperan penting dalam memberikan layanan internet kepada OPD-OPD di bawah lingkup Pemerintahan Provinsi Sumatera Barat. Pembangunan sistem jaringan internet yang sudah baik tidak dapat dijamin bahwa jaringan tersebut terbebas dari gangguan dan kerusakan. Gangguan terhadap akses internet akan berdampak terhadap produktifitas bekerja pegawai dan pelayanan kepada masyarakat. Kurangnya pemahaman PIC OPD dan pengguna dalam menangani permasalahan gangguan  jaringan  internet,  maka  dibutuhkan  keahlian pakar  dalam  melakukan  identifikasi kerusakan pada jaringan internet berdasarkan gejala-gejala yang terjadi, serta diberikan solusi perbaikan  pada  gangguan  yang  ada.  Pengumpulan  data  dilakukan  melalui  wawancara  dan observasi lapangan. Metode yang digunakan untuk pengolahan data pada Sistem Pakar ini yaitu metode forward chaining. Forward Chaining adalah sebuah strategi pencarian dalam system pakar  yang  dimulai  dari  sekumpulan  data  atau  fakta,  dari  data-data  tersebut,  system  akan mencari suatu kesimpulan yang menjadi solusi dari permasalahan yang dihadapi. Berdasarkan hasil  pengujian  Sistem  Pakar  menggunakan  metode  forward  chaining  untuk  mendeteksi gangguan jaringan internet menghasilkan tingkat akurasi sebesar 100 % menggunakan 29 data uji. Berdasarkan hasil yang didapatkan dari Sistem Pakar dengan metode forward chaining, system tersebut dapat digunakan untuk mendeteksi kerusakan jaringan internet di Layanan Internet Diskominfotik Sumatera Barat.</text>
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                <text>Ahmad Zaki a*, Sarjon Defit b, Sumijan c, Rahmi Fauzana </text>
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                <text>https://teknosi.fti.unand.ac.id/index.php/teknosi/issue/view/25</text>
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                <text>Universitas Putra Indonesia YPTK, Padang</text>
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                <text>Fajar bagus W</text>
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                  <text>VOL 9 NO 3 (2023)</text>
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                <text>Design  and  Build  an  Assessment  Platform  by  Inserting Moodle-Based Cryptographic Methods</text>
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                <text>Cyber Security, Cryptography, Platform Assessmen</text>
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                <text>The use of digital platforms in the learning process is increasing, especially in the context of assessment activities. In this context, it is essential to realize that digital platforms can be subject to attack or fraud by irresponsible parties. It is due to the presence of sensitive data and/or restricted to a limited number of authorized persons. Therefore, the protection of data and its security in using digital platforms is very important. To enhance this layer of security in data protection, cryptographic methods play a crucial role in maintaining information security. By applying cryptographic methods to learning platforms for assessment purposes, we can increase the security and integrity of the data involved in the assessment process. This research aims to produce a plugin that can be used on a Moodle-based Learning Management System (LMS). This plugin will provide an additional activity in the form of an assessment activity with an essay exam type. When this plugin is used, all questions and answers will be encrypted into text that is difficult to understand by unauthorized parties when an attack attempt occurs. In this way, the learning platform for assessment purposes can safeguard and protect data from access by irresponsible parties. </text>
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                <text>Deden Pradeka a, * , Anugrah Adiwilaga b , Devi Aprianti Rimadhani Agustini c , Adi Suheryadi d , Rizki Nuriman e</text>
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                <text>https://teknosi.fti.unand.ac.id/index.php/teknosi/issue/view/25</text>
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                <text>Universitas Pendidikan Indonesia</text>
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                <text>7 januari 2024</text>
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                <text>Fajar Bagus W</text>
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                  <text>VOL 9 NO 3 (2023)</text>
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                <text>Analisis  Kesenjangan  Kualitas  Layanan  Sistem  Informasi  Yayasan  Sakata Innovation Center</text>
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                <text>Service QualityImportance Performance Analysis, Quality Function Deploymen</text>
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                <text>Kualitas layanan dimasukkan sebagai ukuran keberhasilan sistem informasi. Hal inilah yang menjadikan setiap organisasi untuk bersaing meningkatkan layanannya. Peningkatan layanan dalam  sistem  informasi  menjadi  permasalahan  utama  pada  Program  Organisasi  Penggerak Yayasan Sakata Innovation Center, dalam layanan tersebut terdapat 25 (dua puluh lima) atribut layanan  yang  diukur  berdasarkan  dimensi  kualitas  layanan.  Dalam  meningkatkan  layanan secara  efektif,  digunakan  3  (tiga)  metode  penelitian  yang  berguna  untuk  mengidentifikasi layanan dan memberikan usulan perbaikan layanan Program Organisasi Penggerak pada sistem informasi Yayasan Sakata Innovation Center. Metode yang digunakan yaitu Service Quality,Importance Performance Analysis, dan Quality Function Deployment. Metode Service Quality berguna untuk menghitung nilai kesenjangan dengan rata-rata nilai kesenjangan sebesar -1,05 dan nilai kesenjangan terbesar berada pada dimensi kualitas tangible (bukti fisik) dengan nilai kesenjangan  sebesar  -1,34.  Metode Importance  Performance  Analysis  berguna  untuk memprioritaskan  atribut yang  diperbaiki  dan  menghasilkan 13  (tiga  belas)  atribut  layanan. Sedangkan metode Quality Function Deployment berguna untuk memberikan prioritas usulan perbaikan dan menghasilkan 7 (tujuh) usulan layana</text>
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                <text>Dhea Sriwahyuni 1, R. Reza El Akbar 2, Heni Sulastri 3</text>
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                <text>https://teknosi.fti.unand.ac.id/index.php/teknosi/issue/view/25</text>
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                <text> Universitas Siliwangi, Kota Tasikmalaya</text>
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                <text>31 desember 2023</text>
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                <text>Fajar bagus W</text>
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                <text>Indonesia</text>
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                  <text>VOL 9 NO 3 (2023)</text>
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                <text>Penerapan Metode SWARA-ELECTRE Dalam Pemilihan Penerima Bantuan Sosial Kelompok Usaha Bersama (KUBE)</text>
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                <text>KUBE, SPK, ELECTRE, SWARA</text>
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                <text>Kelompok  Usaha  Bersama  (KUBE)  merupakan  bentuk  bantuan  sosial  pemerintah  untuk membantu masyarakat yang kurang mampu. Saat ini, proses seleksi calon penerima bantuan KUBE masih dilakukan secara manual, sehingga membutuhkan waktu yang lama dan rentan terhadap  kesalahan  atau  kecurangan.  Untuk  mengatasi  hal  tersebut,  penelitian  ini mengembangkan sebuah sistem pendukung keputusan menggunakan metode Stepwise Weight Assessment Ratio Analysis dan Elimination ET Choix Traduisant LA Realite untuk membantu karyawan di bidang Penanganan Fakir Miskin Dinas Sosial Garut dalam melakukan seleksi calon penerima bantuan. Sistem ini memanfaatkan metode SWARA untuk menetapkan bobot kriteria pada pemilihan penerima bantuan KUBE dan metode ELECTRE untuk perangkingan alternatif.  Metode  SWARA  mengevaluasi  pentingnya  tiap  kriteria,  sementara  metode ELECTRE membandingkan alternatif berdasarkan kriteria yang sama. Gabungan kedua metode ini meningkatkan efisiensi dan ketepatan seleksi, mengurangi risiko kesalahan dan kecurangan yang mungkin terjadi dalam proses manual sebelumnya. Hasil penelitian menyimpulkan bahwa sistem  ini  berhasil  memberikan  rekomendasi  alternatif  penerima  bantuan  KUBE  dengan perolehan poin sebanyak 3 yaitu Domba Sagara 2 yang berada pada peringkat pertama, Domba Sagara 1 pada peringkat kedua, dan Berkah Wijaya pada peringkat ketiga. Metode Stepwise Weight Assessment Ratio Analysis terbukti mampu menghitung bobot kriteria dengan akurat, sedangkan  metode Elimination  ET  Choix  Traduisant  LA Realite  efektif  dalam  melakukan perangkingan pada alternatif dengan baik. Selain itu, sistem ini juga mencapai tingkat akurasi sebesar  90%  berdasarkan  perhitungan  menggunakan confusion  matrix.  Penelitian  ini memberikan kontribusi penting dalam meningkatkan efisiensi dan keakuratan proses seleksi penerima bantuan sosial KUBE. </text>
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                <text>Haifa Fauziyyah a,*, Murnawan b</text>
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                <text>https://teknosi.fti.unand.ac.id/index.php/teknosi/issue/view/25</text>
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                <text>Universitas Widyatama</text>
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                <text>Sentiment and emotion analysis is a common classification task aimed at enhancing the benefit and comfort of consumers of a product. However, the data obtained often lacks balance between each class or aspect to be analyzed, commonly known as an imbalanced dataset. Imbalanced datasets are frequently challenging in machine learning tasks, particularly text datasets. Our research tackles imbalanced datasets using two techniques, namely SMOTE and Augmentation. In the SMOTE technique, text datasets need to undergo numerical representation using TF-IDF. The classification model employed is the IndoBERT model. Both oversampling techniques can address  data imbalance by generating synthetic and new data. The newly created dataset enhances  the  classification  model's  performance.  With  the  Augmentation  technique,  the classification model's performance improves by up to 20%, with accuracy reaching 78%, precision at 85%, recall at 82%, and an F1-score of 83%. On the other hand, using the SMOTE technique, the evaluation results achieve the best values between the two techniques, enhancing the model's accuracy to a high 82% with precision at 87%, recall at 85%, and an F1-score of 86%.</text>
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                <text>Leno Dwi Cahya a,*, Ardytha Luthfiarta b , Julius Imanuel Theo Krisna c , Sri Winarno d , Adhitya Nugraha </text>
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                <text>Universitas Dian Nuswantoro</text>
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                <text>PT  Bukit  Asam  Tbk  (PTBA),  a  state-owned  coal  mining  company,  must  comply  with government  regulations  regarding  software  licenses.  They  face  difficulties  monitoring  and managing licenses that could lead to violations. To solve this  problem, we try to design a website-based UI/UX for the Software License Management System. This research aims to provide an intuitive interface and a comfortable user experience employing the User-Centered Design (UCD) approach, which consists of three main stages: Needs Analysis, Design and Prototyping, and Evaluation. Evaluation is carried out through usability testing using the System Usability  Scale  (SUS).  Test  results  indicate  that  UCD  is  effective  in  designing  a  system responsive to user needs with a high level of usability. With an effectiveness of 99%, efficiency of 96.67%, and an SUS score of 88.25, this system design receives an 'Acceptable' rating, a (B) grade, and falls into the 'Excellent' category. The designed system is deemed suitable for further development towards the implementation phase</text>
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                <text>Ovie Nur Faizah a, Nabila Rizky Oktadini b*, Bayu Wijaya Putra c, Putri Eka Sevtiyuni d, Pacu Putra e, Allsela Meiriza </text>
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                <text> Universitas Sriwijaya</text>
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                <text>Diabetes,  Knowledge Discovery in Databases (KDD), Data Mining Naïve Bayes,  K-Nearest Neighbor (KNN</text>
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                <text>Diabetes adalah gangguan metabolisme kronis di mana pankreas tidak bisa menciptakan insulin yang cukup ataupun tubuh tidak berhasil menggunakan insulin yang telah dihasilkan. Penyebab yang  dapat  menimbulkan  terjadinya  penyakit  diabetes  berawal  dari    banyak  antara  lain penyebab genetik dan lingkungan. Diabetes tidak hanya menyebabkan kerugian ekonomi bagi pasien karena biaya pengobatan tetapi juga memperpendek umur peluang untuk hidup sebesar 5 – 10 tahun. Akibat lainnya adalah jika  tidak ada upaya untuk mengontrol dan mencegah, diabetes dapat semakin memperburuk penderita karena dapat menimbulkan komplikasi yang berat.  Berdasarkan permasalahan  tersebut dapat dilakukan prediksi penyakit diabetes  untuk  dapat membantu tenaga medis mengetahu lebih dini kondisi pasien. Algoritma Naive Bayes dan K-Nearest  neighbor  (KNN)  bisa  digunakan  membantu  prediksi    penyakit  diabetes  dengan menggunakan software RapidMiner &amp; Python. Hasil penelitian ini dievaluasi dengan Confusion Matrix  serta  Nilai  AUC.  Hasil  metode  Naïve  Bayes  adalah  77%  dengan  nilai  AUC  0.83 sedangkan metode K-nearest neighbor (KNN=3) adalah 71% dengan nilai AUC 0.75, KNN=5 adalah 69% dengan AUC 0.76, dan KNN=7 adalah 68% dengan AUC 0.75 sehingga dapat disimpulkan bahwa algoritma naïve bayes lebih unggul dibandingkan dengan KNN, meski pada penelitian ini untuk algoritma KNN menggunakan K=3, K=5 dan K=7, lalu untuk untuk yang KNN dari ketiga K yang digunakan dari segi confusion matrix KNN=3 lebih unggul sedangkan dari nilai AUC yaitu KNN=5.</text>
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                <text>Universitas Dinamika</text>
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                <text>Penelitian  ini  bertujuan  untuk  merancang  sistem  informasi User  Interface  (UI)  dan User Experience (UX) pada PT. XYZ. Perancangan ini berfokus pada desain sistem informasi yang tersedia dalam website Camille Beauty, mengidentifikasi kebutuhan pengguna terkait dengan UI dan UX dalam sistem informasi perusahaan, merancang perbaikan dan pengembangan UI dan UX yang lebih baik, serta menganalisis sistem informasi untuk meningkatkan kualitas UI dan UX. Hasil penelitian yang telah didapatkan adalah perancangan UI dan UX yang baik sangat penting dalam menciptakan pengalaman pengguna yang memuaskan. Tata letak yang intuitif,  navigasi  yang  mudah  dipahami,  penggunaan  warna  dan  visual  yang  tepat,  serta responsivitas  terhadap  perangkat  mobile  merupakan  faktor  penting  untuk  memastikan pengguna dapat dengan mudah mengakses informasi dan produk yang ditawarkan oleh Camille Beauty dan pemodelan UML membantu dalam memahami struktur dan alur kerja sistem. Pengolahan  data  dilakukan  dengan  menggunakan  model Unified  Modelling  Language Diagram. Diagram use case, class, sequence, dan activity membantu menggambarkan interaksi pengguna dengan sistem, struktur data yang diperlukan, urutan tindakan, dan alur kerja yang terlibat. Pemodelan UML dapat menjadi panduan yang berguna dalam pengembangan dan pemeliharaan website Camille Beauty. Berdasarkan tools yang digunakan ini nantinya akan dibuatkan untuk UI dan UX yang dibutuhkan oleh perusahaan. </text>
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                <text>rima Fithri1, Asmuliardi Muluk1, Rahmad Haret Rayhanda 1</text>
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                  <text>VOL 9 NO 3 (2023)</text>
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                <text>Evaluasi Sistem Informasi Manajemen Rumah Sakit Menggunakan Framework COBIT 2019 (Studi Kasus: Semen Padang Hospital)</text>
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                <text>COBIT 2019,  Design Factor, Rumah Sakit, Tata Kelola SIMRS </text>
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                <text>Dalam menghadapi transformasi teknologi informasi di rumah sakit, evaluasi sistem informasi manajemen menjadi satu aspek penting untuk memastikan efektivitas, efisiensi dan kesesuaian sistem dalam mendukung operasional dam pelayanan pasien. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis tujuan teknologi informasi yang relevan di Semen Padang Hospital dengan menggunakan framework COBIT 2019. COBIT 2019 adalah suatu kerangka kerja yang dirancang untuk membantu organisasi dalam mengatur dan mengelola informasi dan teknologi secara efektif.  Metode penelitian dilakukan melalui wawancara dengan pimpinan terkait dalam implementasi SIMRS dengan mengikuti alur desain tata kelola COBIT 2019. Hasil penelitian menunjukkan bahwa objektif proses dengan nilai tertinggi adalah EDM03 (Optimalisasi  Risiko),  APO12  (Manajemen  Risiko)  dan  APO13  (Manajemen  Keamanan). Implikasi dari studi ini memberikan wawasan tentang prioritas tujuan teknologi informasi yang dapat meningkatkan efektivitas pengelolaan SIMRS. Studi ini juga memberikan rekomendasi untuk perbaikan lebih lanjut, serta saran agar penelitian berikutnya dapat melakukan  evaluasi tingkat kemampuan SIMRS berdasarkan proses yang ada pada COBIT 2019.</text>
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                <text>ury Moryanda a,, Vera Pujani b*, Yahya Marpaung </text>
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                <text>Universitas Andalas</text>
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                <text>18 januari 2024</text>
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                <text>Fajar bagus W</text>
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