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All Journal Jurnal Ulul Albab JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Ilmiah Kesehatan Jurnal Medika Malahayati Jurnal Varian Inferensi Jurnal Bumigora Information Technology (BITe) Target : Jurnal Manajemen Bisnis JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Teknomatika (Jurnal Teknologi dan Informatika) Jurnal Pengabdian kepada Masyarakat Agrimansion: Agribusiness Management & Extension Jurnal Sains Teknologi dan Sistem Informasi juremi: jurnal riset ekonomi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Unnes Journal of Mathematics JURNAL PENDIDIKAN INDONESIA: Teori, Penelitian, dan Inovasi Transformatif: Jurnal Pengabdian Masyarakat Jurnal Gizi dan Kuliner VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Innovative: Journal Of Social Science Research Jurnal Sains Natural Jurnal Pelita Ilmu Pendidikan (JPIP) Jurnal Manajemen dan Ekonomi Terapan Journal of Mathematics and Applied Statistics Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal) Prosiding Seminar Nasional CORISINDO

Siti Soraya

Unknown Affiliation

Author-ID : 1512559

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Peningkatan Akurasi Klasifikasi Ketidaktepatan Waktu Kelulusan Mahasiswa Menggunakan Metode Boosting Neural Network I Ketut Putu Suniantara; Gede Suwardika; Siti Soraya
Jurnal Varian Vol 3 No 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i2.651

Supervised learning in Machine learning is used to overcome classification problems with the Artificial Neural Network (ANN) approach. ANN has a few weaknesses in the operation and training process if the amount of data is large, resulting in poor classification accuracy. The results of the classification accuracy of Artificial Neural Networks will be better by using boosting. This study aims to develop a Boosting Feedforward Neural Network (FANN) classification model that can be implemented and used as a form of classification model that results in better accuracy, especially in the classification of the inaccuracy of Terbuka University students. The results showed the level of accuracy produced by the Feedforward Neural Network (FFNN) method had an accuracy rate of 72.93%. The application of boosting on FFN produces the best level of accuracy which is 74.44% at 500 iterations

Spatial Econometric Model on Economic Growth in West Nusa Tenggara Siti Soraya; Baiq Candra Herawati; Muttahid Shah; Syaharuddin Syaharuddin
Jurnal Varian Vol 4 No 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i2.912

Gross Regional Domestic Product (GRDP) is a reflection of a region's economic growth. West Nusa Tenggara (NTB) is one of the provinces that contributes to good GRDP for Indonesia. The purpose of this research is to modeling GRDP in NTB using spatial econmetrics. The data used is the GRDP data of each district / city in NTB Province as a response variable and factors that affect the number of workers, capital value and electrification ratio as predictor variables. The results showed that there is a spatial dependence on the district / city GRDP in NTB Province on the error model so that the model formed is the Spatial Error Model (SEM) with a rho of 71.1% and an AIC value of 173.34.

Forecasting Foreign Tourist Visits to West Nusa Tenggara Using ARIMA Method Siti Soraya; Maulida Nurhidayati; Baiq Candra Herawati; Anthony Anggrawan; Lalu Ganda Rady Putra; Didiharyono D
Jurnal Varian Vol 5 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i1.1441

West Nusa Tenggara (NTB) is one of the provinces in Indonesia that has its own charm in the world of tourism and is known as a pioneer of halal tourism. In addition to domestic tourists, NTB tourism always has an attraction for foreign tourists. This is evidenced by the increasing number of foreign tourists visiting NTB from year to year before the Covid-19 pandemic. This condition certainly has a positive impact on increasing NTB’s economic growth in the tourism sector and indirectly on the optimization of existing infrastructure. The purpose of the study is to predict the number of foreign tourist visits to NTB so that it can assist the government in making decisions in preparing adequate facilities and infrastructure in the event of a surge in tourist visits. The method used in this study is the Box-Jenkins-ARIMA model. The ARIMA method is based on 3 models that are formed from the results of plot data. The data used in this study is secondary data sourced from the Central Statistics Agency (BPS) of West Nusa Tenggara (NTB), from January 2010 to June 2019. The results show that the ARIMA (4,1,1) model is the most widely used model. This model is suitable for predicting the number of foreign tourists visiting NTB because this model produces the lowest SSE and MSE values compared to other models.

Media Pembelajaran Reproduksi Tubuh Manusia Menggunakan Augmented Reality (Studi Kasus: SMAN 2 Selong) Subhan Hadi; Siti Soraya; Melati Rosanensi; Suriyati Suriyati; Baiq Chandra Herawati
Jurnal Bumigora Information Technology (BITe) Vol 3 No 2 (2021)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i2.1448

Era modern saat ini memaksa manusia untuk memanfaatkan teknologi dalam berbagai bidang kehidupan, salah satunya dalam bidang pendidikan. Pada zaman modern seperti sekarang ini tidak sedikit sekolah yang masih memiliki keterbatasan atau kekurangan media pembelajaran, sehingga dibutuhkan teknologi untuk menunjang proses belajar agar lebih menarik. Penelitian ini bertujuan untuk membuat media pembelajaran berbasis Augmented Reality. Media pembelajaran yang dibuat merupakan aplikasi media pembelajaran alat reproduksi manusia dengan menampilkan objek 3 dimensi menggunakan android yang akan diterapkan pada buku paket Biologi dan akan digunakan oleh siswa/siswi Kelas XI IPA di SMA Negeri 2 Selong selama kegiatan belajar. Teknologi augmented reality memungkinkan penggabungan dunia maya dan dunia nyata secara realtime. Dengan diterapkanya teknologi ini diharapkan menjadi daya tarik siswa/siswi dalam belajar agar tidak bosan dengan media pembelajaran yang megggunakan buku saja. Metode yang digunakan dalam pengembangan aplikasi ini adalah Multimedia Development Life Cycle (MDLC) versi Luther-Sutopo. Dalam penelitian ini terdapat 22 orang responden dengan cara penyebaran kusioner. Berdasarkan analisis yang dilakukan maka diperoleh hasil bahwa aplikasi yang telah dibuat layak digunakan sebagai media pembelajaran di SMA Negeri 2 Selong pada mata pelajaran Biologi Kelas XI IPA dengan materi sistem reproduksi.

Analisis Efektivitas Pelaksanaan Bauran Promosi Pada Hotel The Lombok Lodge Dengan Menggunakan Metode Epic Model Baiq Candra Herawati; Siti Soraya
Target : Jurnal Manajemen Bisnis Vol 1 No 2 (2019)
Publisher : Universitas Bumigora

Dalam pelaksanaan promosi hotel The Lombok Lodge, hotel tersebut menerapkan promosi melalui periklanan, promosi penjualan, penjualan pribadi dan pemasaran langsung, dimana periklanan dilakukan melalui katalog, promosi penjualan dilakukan melalui pemberian potongan harga sewa, penjualan pribadi dilakukan melalui agen marketing dan pemasaran langsung dilakukan melalui customer service. Terdapat beberapa metode yang dapat digunakan untuk menganalisis efektivitas bauran promosi berdasarkan dampak komunikasi yang ditimbulkan, yaitu: MMP (Media Mix Planing), CRI (Costomer response index), DRM (Direct rating method) dan EPIC Model.EPIC Model yang digunakan untuk mengukur efektivitas bauran promosi yang mencakup empat dimensi kritis, yaitu: empati (empathy), persuasi (persuasion), dampak (dampak) dan komunikasi (communication).Pada penelitian ini jenis data yang digunakan adalah data kualitatif yang dikuantitatifkan.Jenis penelitian yang digunakan adalah penelitian deskriptif eksploratif.Secara keseluruhan pelaksanaan bauran promosi pada hotel The Lombok Lodge telah efektif, terbukti dari hasil analisis EPIC Model secara keseluruhan sebesar 4.01, nilai tersebut masuk dalam rentang skala penilaian 3.41 – 4.20 (Efektif).

Multi Time Steps Prediction dengan Recurrent Neural Network Long Short Term Memory Ahmad Ashril Rizal; Siti Soraya
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 18 No 1 (2018)
Publisher : LPPM Universitas Bumigora

Tidak tersedianya sumber daya alam seperti migas, hasil hutan ataupun industri manufaktur yang berskala besar di pulau Lombok menyebabkan pariwisata telah menjadi sektor andalan dalam pembangunan daerah. Kontribusi sektor pariwisata menunjukkan trend yang semakin meningkat dari tahun ke tahun. Dampak positif pengeluaran wisatawan terhadap perekonomian terdistribusikan ke berbagai sektor. Akan tetapi, pemerinatah daerah umumnya akan melakukan persiapan wisata daerah hanya pada saat even lokal saja. Padahal kunjungan wisatawan bukan hanya karena faktor adanya event lokal saja. Persiapan pemerintah daerah dan pelaku wisata sangat penting untuk meningkatkan stabilitas kunjungan wisatawan. Penelitian ini mengkaji prediksi kunjungan wisatawan dengan pendekatan Recurrent Neural Network Long Short Term Memory (RNN LSTM). LSTM berisi informasi di luar aliran normal dari recurrent nertwork dalam gate cell. Cell membuat keputusan tentang apa yang harus disimpan dan kapan mengizinkan pembacaan, penulisan dan penghapusan, melalui gate yang terbuka dan tertutup. Gate menyampaikan informasi berdasarkan kekuatan yang masuk ke dalamnya dan akan difilter menjadi bobot dari gate itu sendiri. Bobot tersebut sama seperti bobot input dan hidden unit yang disesuaikan melalui proses leraning pada recurrent network. Hasil penelitian yang dilakukan dengan membangun model prediksi kunjungan wisatawan dengan RNN LSTM menggunakan multi time steps mendapatkan hasil RMSE sebesar 6888.37 pada data training dan 14684.33 pada data testing.

PENINGKATAN KREATIVITAS MAHASISWA MELALUI PENYUSUNAN INSTRUMEN PENELITIAN Wirajaya Kusuma; Basirun; Siti Soraya
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2: Juli 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v1i2.51

Instrumen merupakan alat ukur dari sebuah penelitian yang dilakukan. Keberadaan instrumen adalah hal yang tidak bisa dipisahkan dari sebuah penelitian. Karena apa yang menjadi topik pembicaraan dalam penelitian tentu akan tertuang dalam instrumen. Tujuan pelaksanaan pengabdian ini yaitu agar mahasiswa mampu menggali kemampuan yang dimiliki dalam menyusun berbagai instrumen penelitian sesuai dengan bidang ilmu yang ditekuni. Metode pendekatan yang dilakukan yaitu coaching class. Hasil yang diperoleh melalui pelaksanaan pengabdian ini yaitu pengetahuan tentang pentingnya mengetahui pola penyusunan instrumen penelitian yang pada akhirnya tentu akan meringankan proses penyelesaian berbagai kasus dikehidupan sehari-hari bahkan jurusan masing-masing.

Community Purchase Decision Modeling in Bali with Non-Linier Methods Ni Putu Nanik Hendayanti; Maulida Nurhidayati; Siti Soraya; Habib Ratu Perwira Negara
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 3 (2022)
Publisher : LPPM Universitas Bumigora

The Covid-19 pandemic has resulted in all activities having to be carried out by implementing physical distancing or social distancing in accordance with health protocols for mutual safety. The government encourages people to do more activities at home, including shopping. Consumer perception of purchasing goods online is a process of evaluating various alternatives and choosing one alternative to purchase goods using internet media. The government appealed to the public to take advantage of online shopping to minimize the spread of Covid-19. This indicates that there are factors that influence consumer perceptions of purchasing goods online during the Covid-19 pandemic. The purpose of this study was to examine the effect of perceived convenience, perceived benefits, perceived trustworthiness, and product quality on people’s purchasing decisions in Bali using the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach, Support Vector Regression (SVR), and Feed Forward Neural Network (FFNN). Based on the results of the tests carried out, the SEM-PLS model is able to produce a model with an R2 value of 72.7% with a MAPE of 337.37, an SVR model of 65.88% with a MAPE of 219.56 and a FFNN model of 97.28% with a MAPE of 90.22. Based on the resulting R2 and MAPE values, the FFNN model gives the highest results compared to other models.

Jurnal Varian Full Text Siti Soraya
Jurnal Varian Vol 5 No 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i2.2250

Pemberdayaan UMKM Kripik Landrang Indra Berbasis Digital Ni Putu Nanik Hendayanti; Gusti Ayu Aghivirwiati; I Gusti Ayu Desi Saryanti; Siti Soraya
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 1 (2022): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i1.1954

The Ladrang Crispy Business of Mrs. Ni Kadek Indra Puspita is a home industry business located in Kenderan Village, Gianyar Regency. Indra's mother has been running the business of making ladrang chips for approximately 2 years since the onset of covid-19 which caused Indra's mother to be dismissed from work. During this 2 year period, the production of Ladrang Chips produced by partners is erratic every month depending on orders from small shops / stalls, which Indra usually entrusts to sell Ladrang chips which are produced by partners, and there are orders from relatives and partners, resulting in income uncertain partner. Customers owned by partners come from the partner's village of residence and there are also some from villages around the partner's residence. Therefore, the marketing area of Mrs. Indra's Kripik Ladrang business is not wide. Based on this, the goal to be achieved in this community service activity is to help solve the problems faced by partners by helping to develop Instagram and Facebook marketing media, so that the businesses owned by partners are more easily known to the public. The result of this service is that Instagram and Facebook marketing media training can run well and smoothly and can achieve the expected results. Based on the results of the evaluation using a questionnaire, the results of the index category are very good with an index value of 92.5%.

Co-Authors Afnidia, Tria Agus Sofian Eka Hidayat Ahmad Ahmad Ahmad Zuli Amrullah Al Jauziah, Hanief Ananda, Laraswati Andika Ellena Saufika Hakim Maharani Anggarawan, Anthony Anthony Anggrawan Aryani, Wiwik Dyah Ashar Banyu Lazuardi Ayu Dasriani, Ni Gusti Aziza, Istin Fitriani Azizah, Istin Fitriani Azmi, Rinda Fitriana Badriyah, Lulu'ul Baiq Chandra Herawati Baiq Dinda Puspita Ayu Bryan Hakim Sakti Pradana Choirul Anwar christofer satria Daniel Happy Putra desventri etmy Devi Yulianti Dewi, Puspita Didiharyono, D. Dodiy Fahmeyzan Ekaningrum, Annisa Yuri Erwin Suhendra Ferdinandus Lidang Witi Firmansyah Firmansyah Firmansyah, Dodiy Fitriana Aziza, Istin Fitriana, Laili Fitriani, Anisa Gede Suwardika Gilang Primajati Gilang Primajati Gusnayanti, Riski Gusti Ayu Aghivirwiati Habib Ratu Perwira Negara Helna Wardhana Hendayanti, Ni Putu Nanik Herawati, Baiq Candra Herlina Putri, Novi Hidayat, Agus Sofian Eka Hisbullah Hisbullah I Gusti Ayu Desi Saryanti I Ketut Putu Suniantara I Nyoman Miyarta Yasa I Nyoman Yoga Sumadewa I Wayan Kusuma Di Biagi Ida Bagus Bayu Mahayana Indrawan Mulyadi Ismoen, Muhaimin Istin Fitriana Aziza Juanda, M. Rizky Ujiana Julyanti , Nafi’ah Zahra Khairan marzuki Khasnur Hidjah Kurnia, Indri Lalu Ganda Rady Putra Maesaroh Maesaroh Malik Ibrahim Mayasari, Rossa Melati Rosanensi Mohammad Fajri Mukti, M Thoriq Panca Mustakim, Asep Muttahid Shah Nata, I Gede Anjas Kharisma Nurhidayati, Maulida Pangaribuan, Daniel Phyta Rahima Primajati , Gilang Primajati, Gilang Primajati, Gilang Puspita Dewi, Puspita Putrajip, Mohamad Yudisa Putri, Andri Qatrunnada R. Ayu Ida Aryani Rabbani, Muhammad Haikal Rahima, Pitha Rahmiati, Baiq Fitria Ratmaji, Muji Regina Pricilia Yunika Riana Riana Rianti, Andri Putri Rifani Nur Sindy Setiawan Rizal, Ahmad Ashril Rizqi, Retno Inten Santi Puteri Rahayu Saputra, Habibi Yusup Setiawan Setiawan Setyawan, Ari Shilvia Nurin Ni’mah Sirojul Hadi Subhan Hadi Sufahani, Suliadi Firdaus Supiarmo, M. Gunawan Suriyati Suriyati Suriyati, Suriyati Syaharuddin Syaharuddin Ulul Azmi Widia Febriana, Widia Wirajaya Kusuma Yunika, Regina Pricilia Yustina Hendrayati Baba Zilullah Nazir Hadi

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