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                <text>PENERAPAN PERENCANAAN STRATEGIS SI/TIDENGAN METODE WARD &amp; PEPPARD PADA UMKM KULINER</text>
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                <text>Perencanaan, Strategi, Ward Peppard, UMKM</text>
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                <text>Sebuah bisnis memerlukan suatu dukungan sistem informasi di tengah pesatnya perkembangan teknologi informasi  saat  ini.  Sistem  informasi  dapat  bermanfaat  bagi  suatu  bisnis  karena  dapat  memberikan keunggulan kompetitif. Tantangan pasar yang semakin kompleks juga membuat suatu bisnis tidak cukup hanya  memiliki  perencanaan  strategi  bisnis,  namun  juga  dilengkapi  dengan  strategi  sistem  informasi yang  memiliki  keselarasan  dengan  visi,  misi,  dan  perencanaan  strategi  bisnis  organisasi  itu  sendiri. Penelitian  ini  bertujuan  untuk  merencanakan  strategi  sistem  informasi  yang  dapat  diimplementasikan pada bisnis UMKM yang bergerak pada bidang kuliner di Kabupaten Pacitan, Jawa Timur. Berdasarkan evaluasi  proses  bisnis  organisasi  dengan  sistem  informasi  yang  berjalan  dinilai  belum  efektif,  maka diperlukan  perencanaan  strategis  sistem  informasi  untuk  membantu  pimpinan  dan  manajer  dalam menjalankan  tugasnya  untuk  meningkatkan  efisiensi  kerja.  Metodologi  yang  digunakan  adalah  model perencanaan  strategis  Ward  and  Peppard  dengan  beberapa  tahapan  analisis  seperti  analisis  SWOT, value  chain,  PEST,  dan  five  forces  model  serta  dengan  teknik  pengumpulan  data  berupa  observasi  dan wawancara.  Hasil yang  didapatkan  dari penelitian ini salah  satunya berupavalue  chain  analysis  yang menunjukkan bahwa UMKM kuliner ini memiliki banyak kegiatan utama dan penunjang, selain itu juga terdiri  daribeberapa  faktor  seperti  faktor  politik,  ekonomi,  sosial,  dan  teknologi  sehingga  dihasilkan pula usulan perencanaan sistem informasi yang dapat dilakukan oleh UMKM tersebut, yakni suatu sistem yang  mencakup  pencatatan  alat  maupun  logistik  serta  keuangan  di  antaranya:  aplikasi  pemesanan  dan manajemen barang supplier, sistem informasi keuangan serta aplikasi manajemen aset barang</text>
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                <text>Afif Amirullah1, Alya Aulia Nurdin2*, Pricilia Intan Pramesti3, Unik Slamet Haryanti4, Kholiq Budiman5</text>
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                <text>https://jsi.ejournal.unsri.ac.id/index.php/jsi/article/view/70/65</text>
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                <text>Universitas Negeri Semarang</text>
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                <text>Perancangan Data Warehouse dalam MeningkatkanSistem Pengelolaan Dokumen Digital dan Tugas Akhir Mahasiswa di Perpustakaan Universitas Sriwijaya</text>
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                <text>data warehouse, star schema, ‘OLAP’, dokumen digital, tugas akhir,  perpustakaan, universitas sriwijaya</text>
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                <text>Perpustakaan   Universitas   Sriwijaya   saat   ini   mengelola   dokumen   digital   dimana   informasi   yang ditampilkan masih dalam bentuk informasi yang belum komprehensif. Oleh karena itu dibutuhkan tempat penyimpanan  data  yang  besar  dimana  mampu  menyajikan  informasi  tersebut  dengan  cepat.  Sehingga dapat menghasilkan informasi yang lebih maksimal di perpustakaan Universitas Sriwijaya yaitu dengan cara membangun data warehouse. Perancangan data warehouse berfokus pada penyajian dokumen digital dan data tugas akhir mahasiswa Universitas Sriwijaya. Metode yang akan digunakan dalam merancang data warehouse  yaitu Nine-Step Methodology  Kimball.  Metode  ini mampu menyajikan data yang sesuai dengan kebutuhan informasi data dokumen digital dan tugas akhir mahasiswa. Berdasarkan model data Star Schema dan analisis data menggunakan OLAP, data warehouse mampu mengintegrasikan data yang mempermudah  dalam  mengakses  berbagai  informasi  dengan  sangat  cepat  dan  tepat.  Dengan  adanya implementasi data warehouse ini diharapkan dapat menjadi solusi memantau aktivitas akademik dokumen digital dan tugas akhir mahasiswa Universitas Sriwijaya</text>
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                <text>Ali Bardadi1, Iman Saladin B. Azhar2, Muhammad Hidayat3, Nurul Afifah</text>
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                <text>Analisis Perancangan Sistem Informasi Event Organisasi KemahasiswaanUniversitasPembangunan Nasional Veteran Jakarta</text>
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                <text>Analisis Sistem Perancangan Informasi Berbasis Objek, Aplikasi Event Organisasi danKemahasiswaan,UML, MetodeAgileSCRUM, UPNVJ</text>
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                <text>Informasimoderntidaklagiterbataspadasuatulingkup,tetapidapatdinikmatidandiaksessecaraterbukaoleh seluruh individu. Event adalah salah satu bentuknya, meskipun teknologi sudah maju, masih banyakkesulitan ketika mengadakan suatu event bagi ormawa UPNVJ. Permasalahan itu diantaranya 1) belumadanya  sistem  khusus  internal  yang  memudahkan  dalam  pengelolaan  event;  2)  wadah  untuk  membantupenyelenggaraeventdalammempublikasikaneventdidominasimelaluisosialmedia;3)kurangterorganisir  sehingga  sulit  dalam  menyebar  dan  mencari  event.  Berangkat  dari  permasalahan,  makadilakukan kajian terhadap prosedur yang berjalan sekarang dan kemudian dilakukan perancangan sistemdan  prototipe  dengan  metode  Agile  SCRUM.  Hasil  akhir  dari  pengkajian  dan  penulisan  ini  adalahterbentuknya  Sistem  Informasi  Event  Management  Ormawa  berbasis  website  yang  didalamnya  dimuatkepentingan informasi mengenai event –event tingkat jurusan, fakultas, universitas, maupun umum yanglengkap  dan  detail  dalam  satu  website  seperti  alur  pendaftaran,  informasi pelaksanaan  event,  maupunpenyelenggaraaneventdaribeberapaorganisasimahasiswadiUPNVeteranJakarta</text>
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                <text>upply  Chain  Management  merupakan  jaringan  suplai  produk  yang  diisi  oleh  mitra-mitra  mulai  dari pemasok hingga ke pelanggan. Di masa pandemi ini, masyarakat cenderung melakukan aktifitas mereka di  dalam  rumah  mereka  masing-masing,  sembari  melakukan  seleksidari  produk-produk  konsumsi  yang terjamin  kualitasnya  untuk  menjaga  kesehatan  mereka.  Masyarakat  perlu  mengetahui  apakah  produk-produk  ini  dapat  dipantau  perjalanannya  dengan  Sistem  Supply  Chain  Management,  mulai  dari  pabrik hingga ke konsumen. Namun saatini, menjaga transparansi dan ketertelusuran didalam jaringan Supply Chain masih menjadi tantangan tersendiri. Untuk mengatasi masalah ini, penulis mencoba meneliti metode Blockchain  untuk  menanggulangi  kekurangan  dari  Supply  Chain  Management.  Teknologi  Blockchain dikenal dengan keamanan data yang baik dengan hash function-nya. Blockchain dinilai dapat dengan baik bila diimplementasikan di area Supply Chain Management. Untuk kemudahan pengumpulan data selama proses Supply Chain Management berlangsung, Sensor RFID juga dapat diintegrasikan kedalam system, sehingga  lebih  mudah  untuk  melakukan  perhitungan  dan  pengumpulan  data  dati  produk  yang  berjalan pada systemSupply Chain Management itu sendiri.</text>
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                <text>tasiun  Meteorologi Sultan  Mahmud  Badaruddin II  Palembang merupakan unit pelaksana  tugas  BMKG dalam  melayani  cuaca  penerbangan  di  Bandara  SultanMahmud  Badaruddin  II  Palembang.  Salah  satu parameter cuaca adalah visibility(jarak mendatar) yang dilaporkan setiap 30 menit. Visibilitymerupakan salah satu faktor krusial dalam keselamatan sistem transportasi salah satunya penerbangan. Visibility rendah dapat  berakibat  pada  gangguan  lalu  lintas  transportasi  hingga  kecelakaan.  Akan  tetapi  dalam  membuat sebuah prakiraan cuaca cukup rumit karena adanya variabilitas masing-masing parameter cuaca. Penelitian ini  berupaya  untuk  membuat  prakiraan  visibility  dengan  menggunakan  model  MLP  dan  LSTM.  Dalam penelitian  ini  data  yang  digunakan  adalah  suhu,  tekanan,  kelembaban,  dew  point,  kecepatan  angin  serta visibility. Data selama 24 jam tersebut digunakan untuk memprediksi visibility 3 jam kedepan, 6 jam ke depan serta 12 jam ke depan. Setelah itu, perbandingan antar metode dilakukan untuk mendapatkan metode yang paling bagus dalam memprakirakan visibility</text>
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                <text>Program Studi Teknik Informatika, Fakultas Teknik Infomormatika, Universitas Binadarma</text>
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                <text>Produk PT Polaris Edu Partners yang menjadi platform penunjang kegiatan pembelajaran bagi institusi dan kampus partner adalah website Ubiquitous Based Learning (UBL) Cloud, dengan jumlah pengguna student  portal  per  16  April  2021  sebanyak  4331  mahasiswa  dari  4  kampus  dan  institusi  berbeda  yaitu Universitas Pasundan, Akamigas Balongan, STKIP Pasundan, dan Politeknik Bhakti Kartini. Website UBL Cloud memiliki 4331 users student portal, saat ini tampilan website belum memenuhi standar desain yang user friendly, selain itu PT Polaris Edu Partners belum pernah melakukan evaluasi user interface untuk meningkatkan  user  experiencesehingga  diperlukan  pengujian  usabilitas  terhadap  pengguna  dilakukan dengan pengujian hipotesis menggunakan metodeNielsen Model  yang terdiri dari variabel  terikat yaitu usability  dan  variabel  bebas  yang  terdiri  dari  learnability,  efficiency,memorability, errors, dan user’s satisfaction.Penyebaran  kuesioner  terhadap  pengguna  student  portal  dilakukan  secara  online  dan diperolehhasilanalisis  usabilitas  website  UBL  Cloud  bagi  pengguna  terpenuhi  dengan  nilai  rata-rata sebesar  77,08%.  Serta  didapatkan  bahwa  antara  variabel  learnability,  efficiency,  memorability,  errors, dan user’s satisfaction saling berpengaruh secara simultan. Variabel efficiency, memorability, dan user’s satisfaction berpengaruh secara parsial terhadap variabel usability, sedangkan variabel learnability dan errors tidak berpengaruh signifikan terhadap variabel usability</text>
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                <text>Pengaruh E-CRM Terhadap Loyalitas Nasabah dari Mahasiswa UnsriDalam Menggunakan Mobile Banking Bank BNI di Kota Palembang</text>
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                <text>e-CRM, M-Banking, Bank BNI</text>
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                <text>Perkembangan  teknologi  membawa  perubahan  terhadap  sistem  yang  telah  diterapkan  oleh  berbagai industri, salah satunya perbankan. Contohnya adalah Bank BNI yang memanfaatkan teknologi internet untuk meningkatkan  pelayanan  terhadap  nasabahnya  lewat  sistem  mobile  banking.  Kehadiran  teknologi  tersebut memungkinkan  nasabah  Bank  BNI  untuk  melakukan  transaksi  dimana  saja  selama  24  jam  nonstop. Kehadiran  m-banking  BNI  diharapkan  dapat  memaksimalkan  pelayanan  terhadap  nasabah  khususnya  di Palembang.   Oleh   karena   itu, penelitian   ini  bertujuan   untuk  mengetahui  pengaruh  dari   e-CRM   yang diterapakan   oleh   BNI   sekaligus   mobile   banking   BNI   terhadap   loyalitas  nasabah  Bank   BNI   di   kota Palembang. Penelitian ini memiliki tiga  variabel untuk pengukurnya, yaitu e-CRM  atau yang ditulis dengan (X1), M-Banking yang ditulis dengan (X2), dan Kepuasan Pelanggan yang disimbolkan dengan (Y). Dalam penelitian   ini   dilakukan   analisis   melakukan   pengujian   regresi   linier   berganda.   Dalam   penelitian   ini melibatkan   25   responden   nasabah   Bank   BNI   yang merupakan   mahasiswa   Universitas   Sriwijaya   di Palembang. Hasil yang diperoleh dari analisis menggunakan pengujian regresi linear berganda mendapatkan kesimpulan  bahwa  variabel  X1  ATAU  e-CRM  tidak  berpengaruh  positif,  sedangkan  variabel  X2  atau  M-Banking berpengaruh secara positif terhadap variabel Y atau kepuasaan pelanggan. Meskipun begitu, belum terlalu berpengaruh.</text>
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                <text>Hardini Novianti1, Ali Ibrahim2,Mira Afrina3, Yadi Utama4</text>
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                <text>https://jsi.ejournal.unsri.ac.id/index.php/jsi/article/view/75/67</text>
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                <text>Fakultas Ilmu Komputer Universitas Sriwijaya</text>
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                <text>April 2022</text>
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                <text>Fajar bagus W</text>
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                <text>Indonesia</text>
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                  <text>VOL. 14 NO. 1,  APRIL 2022</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DUTA PARIWISATAKABUPATEN JAYAWIJAYA DENGAN METODE SAW</text>
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          <element elementId="49">
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                <text>SAW,RAD, Duta, Pariwisata</text>
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            <description>An account of the resource</description>
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                <text>Sistem pendukung keputusan pemilihan duta pariwisata merupakan penelitian pembangunan sistem atau aplikasi berbasis web yang dirancang khusus untuk membantu proses penilaian pada proses seleksi acara pemilihan  duta  pariwisata.  Sistem  pendukung  keputusan  menggunakan  metode  SAW  diimplementasikan pada  kasus  pemilihan  duta  pariwisata  dibuat  dengan  menggunakan  metode  pengembangan  sistem  RAD (rapid  application  development),  pemodelan  sistem  menggunakan  model  terstruktur  dan  pengujian menggunakan tabel uji proses sesuai dengan metode pengujian Black Box. Hasil dari aplikasi ini adalah bisa  mempercepat  perhitungan  nilai  pada  kegiatan  seleksi  duta  pariwisata  yang  dibuat  oleh  Dinas Kebudayaan dan Pariwisata Kabupaten Jayawijaya</text>
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                <text>Hence Lumentut1, Wawan Nurmansyah2, Silviani Rumagit3</text>
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                <text>https://jsi.ejournal.unsri.ac.id/index.php/jsi/article/view/63/58</text>
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                <text>Unika Musi Charitas Palembang</text>
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            <name>Date</name>
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                <text>april 2022</text>
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                <text>Fajar bagus W</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>PDF</text>
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            <name>Language</name>
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                <text>Indonesia</text>
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                  <text>VOL. 14 NO. 1,  APRIL 2022</text>
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                <text>PENERAPAN DATA MINING DAN TEKNOLOGI MACHINE LEARNING PADA KLASIFIKASI PENYAKIT JANTUNG</text>
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                <text>penyakit jantung, data mining, machine learning, klasifikasi</text>
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                <text>Saat ini, dalam dunia kesehatan, data analisis dapat diproses untuk mendeteksi dan mendiagnosa penyakit. Dengan   perkembangan   teknologi,   peranan   data   mining,   dan   kebutuhan   studi   digunakan   untuk memecahkan  masalah  tersebut.  Maka  dari  itu,  kami  memutuskan  untuk  mengklasifikasikan  penyakit jantung  menggunakan  3  teknik  machine  learning:  Logistic  Regression,  K-Nearest  Neighbors,Random Forest,  dan  Tuned K-Nearest  Neighborsdengan bahasa pemrograman python.  Dataset  yang digunakan dalam penelitian ini mempunyai 13 fitur, 1 variabel label, dan 303 contoh di mana 138menderita karena penyakit cardiovascular dan 165sehat. Pengukuran yang digunakan untuk membandingkan kinerja teknik data  mining  yaitu  akurasi,  presisi,  recall,  dan  f-measure.  Hasilnya  menunjukkan  bahwa Logistic Regressionmerupakan teknik dengan kinerja terbaik dan mendapatkan akurasi tertinggi 88,52%</text>
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                <text>Iman Saladin B. Azhar1, Winda Kurnia Sari2</text>
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              <elementText elementTextId="77876">
                <text>Universitas Sriwijaya</text>
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                <text>April 2022</text>
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                <text>Fajar bagus W</text>
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                <text>Indonesia</text>
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