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                <text>Dampak Mobile Apps terhadap Digitalisasi Usaha Mikro,Kecil dan Menengah (UMKM) di Kota Palembang dalam Brand image dan Brand Quality</text>
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                <text>Perkembangan sistem informasi (mobile apps) sangat penting bagi UMKM ,penggunaan sistem informasi &#13;
membuat proses lebih efisien. Banyak usaha kecil, menengah dan mikro yang masih menggunakan secara &#13;
manual untuk mengolah data menggunakan buku tulis, yang tentunya tidak efisien .Kemajuan teknologi, &#13;
khususnya internet dan perangkat mobile, telah mengubah cara berbisnis .Usaha Mikro, Kecil dan &#13;
Menengah (UMKM) yang mengadopsi teknologi baru dapat meningkatkan proses bisnis mereka, menjual &#13;
produk dan layanan mereka secara digital, dan mendapatkan akses yang lebih luas dan cepat terhadap &#13;
informasi pasar. berdasarkan data yang dihimpun oleh Dinas Koperasi dan UKM Kota Palembang, per &#13;
Desember 2022 terdapat 80.903 unit usaha UMKM yang ada di Kota Palembang, berdasarkan jumlah &#13;
UMKM yang relatif banyak dan terus bertambah setiap tahunnya menunjukan permasalahan seperti belum &#13;
memanfatkan media teknologi informasi khususnya mobile untuk membantu meningkatkan pemasaran &#13;
produk UMKM dan meningkatkan penjualan produk , pada penilitian ini menggunakan metode metode &#13;
Kualitatif dengan pendekatan grounded theory , grounded theory adalah analisis metodis penelitian data dan digunakan untuk mengevaluasi wawancara, observasi, protokol, partisipasi, keterlibatan langsung, dan seterusnya.</text>
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                <text>Paray Theo Lonando, Dedi Haryanto, Arif Setiawan, Wafiq Nanda Putra</text>
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                <text>E-ISSN : 2355-4614</text>
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                <text>Penelitian ini membahas penerapan algoritma Caesar Cipher dalam meningkatkan keamanan data pada &#13;
sistem kasir restoran berbasis web. Proses enkripsi dan dekripsi dilakukan dengan metode sederhana, yaitu &#13;
menggeser huruf berdasarkan kunci tertentu. Algoritma ini diterapkan untuk mengenkripsi kata sandi &#13;
pengguna sebelum disimpan di dalam basis data, memberikan lapisan keamanan tambahan. Namun, &#13;
algoritma ini memiliki keterbatasan karena rentan terhadap serangan brute force dan analisis frekuensi &#13;
akibat jumlah kunci yang terbatas. Penelitian ini mengilustrasikan penerapan Caesar Cipher dalam &#13;
melindungi data pengguna, sekaligus mengidentifikasi kelemahan utamanya. Hasil penelitian menunjukkan &#13;
bahwa algoritma ini lebih cocok digunakan pada aplikasi dengan kebutuhan keamanan rendah. Selain itu, &#13;
penelitian ini menyoroti perlunya menggunakan algoritma yang lebih kuat, seperti AES atau metode &#13;
hashing bcrypt dan SHA-256, untuk melindungi data secara lebih efektif. Temuan ini juga membuka &#13;
peluang untuk mengombinasikan Caesar Cipher dengan metode enkripsi lainnya sebagai langkah inovatif dalam meningkatkan keamanan sistem informasi di masa depan.</text>
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                <text>Yoga Pratama, Bayu Maulana Ayassy, Cahyo Hidayatullah, Frans Putra Sinaga, Ahmad Turmudi Zy</text>
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                <text>https://jsi.ejournal.unsri.ac.id/index.php/jsi/article/view/210</text>
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                <text>Analisis Perbandingan Query Response Time MariaDB Pada Sistem Operasi Kali Linux dan Ubuntu</text>
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                <text>Data adalah sumber daya vital bagi organisasi yang menuntut kecepatan akses yang tak tertandingi dan tingkat &#13;
keamanan yang memadai. Komponen-komponen penting dalam data perlu dikelola secara efektif dan efisien untuk &#13;
memungkinkan pengambilan keputusan yang tepat waktu. Penelitian ini mengusulkan analisis perbandingan waktu &#13;
eksekusi kueri menggunakan Sistem Manajemen Basis Data (DBMS) MariaDB pada sistem operasi Kali Linux dan &#13;
Ubuntu. Para peneliti mengidentifikasi waktu respons untuk operasi select, update, dan delete pada variasi ukuran &#13;
data. Percobaan ini dilakukan tiga kali untuk memastikan konsistensi hasil. Akibatnya, Ubuntu menunjukkan pola &#13;
peningkatan waktu respons yang lebih stabil, meskipun lebih lambat dari Kali Linux. Ubuntu berkinerja lebih baik &#13;
dalam hal skalabilitas, terutama saat menangani kumpulan data yang besar. Berdasarkan penelitian ini, pemilihan &#13;
sistem operasi untuk manajemen basis data tidak hanya didasarkan pada kecepatan eksekusi kueri, tetapi juga mempertimbangkan faktor-faktor penting lainnya, seperti tingkat keamanan sistem operasi, kemudahan penggunaan, dan preferensi pengguna.</text>
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                <text>Aisyah Fatimah, Nurul Afifah, Septiani Kusuma Ningrum</text>
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                <text>E-ISSN : 2355-4614</text>
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                <text>Perbandingan Prediksi Curah Hujan Kota Palembang Menggunakan Metode Fuzzy Time Series Chen dan Lee</text>
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                <text>Prediksi curah hujan dapat dilakukan untuk mengetahui kondisi cuaca dimasa yang akan datang. Curah &#13;
hujan menjadi salah satu faktor yang sangat penting dalam mengelola sumber daya air, menghindari banjir &#13;
dan mendukung kegiatan ekonomi dan sosial serta pengambilan keputusan. Kota Palembang, sebagai ibu &#13;
kota Provinsi Sumatera Selatan, memiliki curah hujan yang relatif tinggi sepanjang tahun. Prediksi curah &#13;
hujan yang dilakukan secara tradisional menggunakan model statistik dan fisik memiliki beberapa &#13;
keterbatasan, seperti keterbatasan data dan keterbatasan model statistik yang cocok digunakan. Maka &#13;
daripada itu, penelitian ini menerapkan metode Fuzzy Times Series (FTS) yang dikenal efektif dalam &#13;
menangani deret waktu yang tidak pasti dan fluktuatif dalam memprediksi curah hujan di kota Palembang, &#13;
dimana model yang akan digunakan adalah model Chen dan Lee. Data curah hujan Kota Palembang dari &#13;
tahun 2015 s.d 2023 yang diperoleh dari Badan Pusat Statistik (BPS) yang akan digunakan pada penelitian &#13;
ini. Berdasrkan implementasi predeksi dengan Fuzzy Time Series Chen dan Lee diperolehan prediksi yang &#13;
dapat mendekati data aktualnya, Hasil perhitungan nilai error dari RMSE dan SMAPE untuk model Chen &#13;
sebesar 122.472 dan 56.41%, sedangkan perhitungan nilai error dari perhitungan RMSE dan SMAPE &#13;
untuk model Lee sebesar 123.578 dan 57%, Nilai error ini menunjukkan bahwa perolehan prediksi curah &#13;
hujan kota Palembang memiliki kinerja yang mendekati baik dengan menggunakan metode Fuzzy Time &#13;
Series Chen dan Lee. Berdasarkan hasil perbandingan kedua model, dapat disimpulkan bahwa model Chen sedikit lebih baik dibandingkan dengan model Lee dalam memprediksi curah hujan di Kota Palembang</text>
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                <text>Kanda Januar Miraswan, Meylani Utari</text>
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                <text>Universitas Sriwijaya</text>
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                <text>Apr 30, 2025</text>
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                <text>Sri Wahyuni</text>
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                <text>E-ISSN : 2355-4614</text>
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                  <text>VOL. 17 NO. 1,  APRIL 2025</text>
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                  <text>Sri Wahyuni</text>
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                <text>Implementasi Algoritma K-Mean Clustering dan Mean-Variance Efficient Portfolio One Constrain dalam Optimasi Bobot Portofolio Saham</text>
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                <text>clustering, k-means, mean-variance, portfolio, stocks</text>
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                <text>Klasterisasi (Clustering) merupakan teknik yang digunakan dalam analisis data untuk &#13;
mengelompokkan sekumpulan objek berdasarkan karakteristik tertentu, sedemikian hingga objek &#13;
dalam satu kelompok lebih mirip satu sama lain dibandingkan dengan objek dalam kelompok yang &#13;
lain. Metode k-means merupakan metode klasterisasi berbasis jarak yang populer dalam data &#13;
mining. Salah satu contoh penerapan algoritma k-means adalah memilih saham pada klaster tertentu &#13;
dalam proses membangun portofolio. Berinvestasi saham merupakan kegiatan yang memiliki risiko &#13;
tinggi, sehingga penentuan portofolio optimal perlu dilakukan agar tujuan investasi dapat tercapai. &#13;
Membangun bobot portofolio optimal dapat dilakukan dengan metode mean-variance efficient &#13;
portofolio one constrain. Metode ini berguna dalam meminimalisir risiko pada tingkat profit yang &#13;
diharapkan. Penelitian ini bertujuan untuk menciptakan portofolio optimal dengan menggabungkan &#13;
metode k-means clustering dan metode mean-variance efficient portofolio one constrain. Hasil &#13;
penelitian diperoleh dari 50 saham dibagi menjadi tiga klaster berbeda. Masing-masing klaster &#13;
dengan ekspektasi return tertinggi dimasukan ke dalam portofolio diantaranya adalah BYAN, &#13;
GOTO, dan GGRM. Hasil analisis diperoleh bobot portofolio saham BYAN, GOTO, dan GGRM &#13;
masing-masing sebesar 0,556693; 0,219429; dan 0,223879. Nilai ekspektasi return portofolio &#13;
diperoleh sebesar 0,003589 yang berarti potensi rata-rata keuntungan yang diharapkan investor dari &#13;
portofolio ini sebesar 0,3589%. Resiko yang diterima investor dalam portofolio tersebut relatif &#13;
rendah dan stabil, yaitu sebesar 1,549%.</text>
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              <elementText elementTextId="110299">
                <text>Moch. Anjas Aprihartha, Adi Prihandono</text>
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                <text>https://jsi.ejournal.unsri.ac.id/index.php/jsi/article/view/236</text>
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              <elementText elementTextId="110301">
                <text>Universitas Sriwijaya</text>
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                <text>Apr 30, 2025</text>
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                <text>Sri Wahyuni</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="110304">
                <text>E-ISSN : 2355-4614</text>
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        <name>mean-variance</name>
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        <name>portfolio</name>
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                  <text>VOL. 17 NO. 1,  APRIL 2025</text>
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                <text>Implementation of Random Forest Method for Customer Churn Classification</text>
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                <text>Annually, the banking sector consistently undergoes substantial expansion, as demonstrated by the &#13;
escalating quantity of banks. Nevertheless, this expansion has led to escalating rivalry among banks as they &#13;
strive to offer superior service to consumers, ultimately impacting customer migration across &#13;
organizations. Customer churn, or attrition, substantially influences a company's financial performance. &#13;
Hence, it is crucial to discern the conduct of clients who can discontinue their association with the &#13;
organization. Precise identification is essential to gather the necessary information for the organization to &#13;
retain clients and decrease churn rates. An effective strategy for addressing this issue is categorizing client &#13;
behaviour using historical data. The study utilized the Random Forest approach, employing a 90% training &#13;
data and 10% testing data ratio. The hyperparameter tuning findings indicate that the optimal parameter &#13;
combination for constructing a Random Forest model is 400 n_estimators and 40 max_depth. The Synthetic &#13;
Minority Over-Sampling Technique (SMOTE) mitigates data during categorization. The evaluation of the &#13;
model demonstrates its exceptional performance in classifying imbalanced data, achieving an accuracy of 90.83%, precision of 89.29%, recall of 92.07%, and f1-score of 90.66%</text>
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                <text>Dian Kurniasari , Lutfia Humairosi, Warsono, Notiragayu</text>
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              <elementText elementTextId="110269">
                <text>Universitas Sriwijaya</text>
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                <text>Apr 30, 2025</text>
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                <text>Sri Wahyuni</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110272">
                <text>E-ISSN : 2355-4614</text>
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                  <text>VOL. 17 NO. 1,  APRIL 2025</text>
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                <text>Penerapan Agile Methodology Dalam Pembuatan Aplikasi Kursus Menyelam Menggunakan Framework Flutter Dengan Integrasi Firebase</text>
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          <element elementId="49">
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                <text>Pembuatan aplikasi Kursus Menyelam “Nyelam Indonesia” bertujuan untuk memfasilitasi proses &#13;
pendaftaran dan pemilihan kursus menyelam secara digital, yang diharapkan dapat meningkatkan efisiensi &#13;
operasional dan memberikan pengalaman yang lebih baik bagi pengguna. Aplikasi ini dirancang &#13;
menggunakan Agile Methodology, dengan implementasi teknologi Flutter dan integrasi Firebase sebagai &#13;
backend. Proses pembuatan melibatkan pembuatan berbagai alat bantu desain seperti struktur navigasi, &#13;
flowchart, use case diagram, dan activity diagram, yang kemudian diimplementasikan ke dalam sebuah &#13;
prototype. Aplikasi ini diuji menggunakan metode Black Box Testing pada berbagai perangkat dengan &#13;
spesifikasi yang berbeda untuk memastikan fungsionalitas dan performa sistem yang optimal. Hasil &#13;
pengujian menunjukkan bahwa aplikasi ini mampu memenuhi kebutuhan pengguna dengan baik dan &#13;
berpotensi untuk meningkatkan layanan Nyelam Indonesia di masa depan.</text>
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                <text>Penelitian di bidang informatika yang sering melibatkan beberapa subdisiplin dalam satu penelitian &#13;
mengakibatkan kesulitan dalam melakukan klasifikasi dari topik penelitian. Biasanya klasifikasi teks &#13;
pada bidang pemrosesan bahasa alami melalui proses pelatihan dan pengujian. Namun klasifikasi yang &#13;
menggunakan metode ontologi yaitu klasifikasi tanpa melakukan pelatihan, sehingga mengatasi &#13;
permasalahan akan kebutuhan data latih. Pada klasifikasi dengan ontologi terdapat beberapa masalah &#13;
yaitu pencarian term yang tidak memiliki kesamaan antar kata dengan ontologi dan ketepatan dalam &#13;
pengukuran kemiripan data dengan representasi pengetahuan. Untuk mengatasi hal tersebut digunakan &#13;
metode fastText yang melakukan pencarian term agar memiliki relasi kesamaan antar kata dengan &#13;
ontologi. Dan metode Wu-Palmer adalah metode untuk mengukur kemiripan dan keterkaitan makna &#13;
semantik kata dengan representasi pengetahuan dalam ontologi. Tahapan dalam penelitian ini dimulai &#13;
dari preprocessing (Casefolding, Tokenizing, Stopword Removal, Lemmatization), Query Processing&#13;
(Query Reduction dan Remove Duplicate Query), Word Embedding dengan FastText dan Semantic &#13;
Similarity dengan metode Wu-Palmer. Data yang digunakan dalam penelitian ini berasal dari penelitian &#13;
hasil dari tugas akhir mahasiswa teknik informatika Fasilkom Unsri dengan jumlah data sebanyak 200 &#13;
penelitian. Hasil dari klasifikasi ini didapatkan 178 dari 200 topik yang diklasifikasi sesuai dengan data &#13;
aktual dengan nilai akurasi sebesar 89,5% yang menunjukkan bahwa sistem secara umum mampu &#13;
melakukan klasifikasi dengan baik.</text>
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                <text>Desty Rodiah, Kanda Januar Miraswan, Junia Kurniati, Dellin Irawan, Vanya Terra Ardani</text>
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                <text>Universitas Sriwijaya</text>
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                <text>E-ISSN : 2355-4614</text>
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                <text>Perancangan User Interface Aplikasi Penjualan Buket Berbasis Mobile (Studi Kasus: Berkahbouquet_26)</text>
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                <text>Perkembangan teknologi informasi yang pesat telah mendorong transformasi digital di berbagai &#13;
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cepat menjadi semakin penting terutama saat keperluan mendesak. Dimana pelanggan ingin &#13;
mencari referensi buket secara cepat dengan cara melihat secara jelas bagaimana bentuk, warna, &#13;
model buket yang dibutuhkan. Saat ini maraknya penjualan buket dilakukan dengan menggunakan &#13;
media sosial seperti Instagram. Instagram dapat menampilkan berbagai macam referensi buket, &#13;
namun dari sudut pandang pelanggan, Instagram menampilkan katalog produk yang bercampur�campur, seperti kurang tersusun, seperti kita tahu sendiri di dalam Instagram ada postingan bentuk &#13;
foto dan juga video reel, terkadang penjual buket tidak memperhatikan kerapian dalam memposting &#13;
produk, sehingga produk buket yang ditampilkan secara acak dan bercampur, misalnya postingan &#13;
buket bunga atau buket snack, ini menyebabkan pelanggan kesulitan melihat informasi produk &#13;
buket secara jelas misalnya nama buket, harga dan stok produk buketnya juga tidak terlihat, kecuali &#13;
pelanggan harus menanyakan kepada admin penjual melalui wa admin. Karena permasalahan &#13;
inilah yang menjadi dasar untuk peneliti untuk mengembangkan perancangan user interface (UI) &#13;
aplikasi penjualan buket berbasis mobile.</text>
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                <text>E-ISSN : 2355-4614</text>
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                <text>Kader merupakan sumber daya manusia (SDM) yang memiliki peran strategis dalam keberlangsungan dan &#13;
penguatan partai politik. Dalam upaya memilih kader terbaik, DPD PDI Perjuangan Sumatera Selatan &#13;
selama ini mengandalkan sistem penilaian berdasarkan partisipasi kader dalam berbagai kegiatan. Namun, &#13;
metode yang digunakan masih memiliki kelemahan, yaitu penyamarataan pemberian poin tanpa &#13;
mempertimbangkan tingkat kepentingan dari setiap jenis kegiatan. Hal ini menyebabkan kurangnya &#13;
objektivitas dalam proses pemilihan kader terbaik. Untuk mengatasi permasalahan tersebut, penelitian ini &#13;
menawarkan solusi berupa sistem pendukung keputusan (SPK) yang mengintegrasikan bobot, kriteria, dan &#13;
subkriteria dalam penilaian kader. Metode yang digunakan dalam sistem ini adalah Weighted Product &#13;
(WP), yang memungkinkan perhitungan lebih adil dengan mempertimbangkan tingkat kepentingan dari &#13;
setiap kriteria dan subkriteria. Hasil dari implementasi metode WP menunjukkan peningkatan akurasi dan &#13;
transparansi dalam pemilihan kader terbaik, karena sistem ini dapat memberikan nilai yang lebih &#13;
proporsional berdasarkan kontribusi nyata dari setiap kader. Dengan demikian, sistem yang dikembangkan &#13;
dapat membantu DPD PDI Perjuangan Sumatera Selatan dalam melakukan evaluasi kader secara lebih objektif dan efektif.</text>
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                <text>Anggi Dwi Cahyani, Desi Pibriana</text>
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            <elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110192">
                <text>Apr 30, 2025</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110193">
                <text>Sri Wahyuni</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110194">
                <text>E-ISSN : 2355-4614</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110195">
                <text>PDF</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110196">
                <text>Indonesian</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="110197">
                <text>Text</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="13199">
        <name>Decision Making Models</name>
      </tag>
      <tag tagId="13201">
        <name>Political Cadre</name>
      </tag>
      <tag tagId="13200">
        <name>Wegihted Product (WP)</name>
      </tag>
    </tagContainer>
  </item>
</itemContainer>
