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All Journal Jurnal Ampere PENDIPA Journal of Science Education JUTIS : Jurnal Teknik Informatika Pelita Eksakta Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Abdimas Bina Bangsa Publikasi Hasil Pengabdian Kepada Masyarakat. UNP Journal of Statistics and Data Science Indonesian Journal of Statistics and Its Applications
Dina Fitria, Dina
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Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Application of Singular Spectrum Analysis in Predicting Rupiah Exchange Yuan Hendrawan, Muhammad; Zilrahmi, Zilrahmi; Kurniawati, Yenni; Fitria, Dina
Indonesian Journal of Statistics and Applications Vol 9 No 1 (2025)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v9i1p75-85

Abstract

The exchange rate between two countries is the price of the currency used by residents of these countries to trade with each other, the relationship between the Rupiah exchange rate and the Yuan is one of the important aspects in the dynamics of international trade. Therefore, forecasting the exchange rate is important as an effort to predict the exchange rate of Rupiah against Yuan in the future. The method used for forecasting is Singular Spectrum Analysis, namely decomposition and reconstruction. The accuracy of the resulting forecast is measured using the Mean Absolute Percentage Error criterion. The exploration results obtained are forecasting accuracy based on the Mean Absolute Percentage Error value of 2.15% with a window length of 23 which identifies that the forecasting results are accurate and effective. Forecasting is said to be accurate if the Mean Absolute Percentage Error value is lower than 10% and close to 10%
Pemeriksaan TiLV (Tilapia Lake Virus) Pada Ikan Nila (Oreochromis niloticus) Budidaya Fitria, Dina; Fathonah, Deffya; Afrianti, Rini; Turrohmah, Azizah; Mujaidiah; Destiana, Anggari Linda; Day, Dafzel; Astuti, Indri
PendIPA Journal of Science Education Vol 9 No 2 (2025): June
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.9.2.310-317

Abstract

Nile Tilapia (Oreochromis niloticus) is highly sought after by Indonesian consumers and is one of the leading commodities cultivated in freshwater. However, tilapia farming still frequently encounters challenges that lead to a decline in production, one of which is infection by pathogens such as Tilapia Lake Virus (TiLV). TiLV can infect fish in waters with temperatures above 25°C, with mass mortality peaking at 30°C, reaching a 50% death rate. Proper handling and control measures are essential to manage TiLV outbreaks effectively. TiLV detection in fish can be conducted using the Polymerase Chain Reaction (PCR) method. PCR-based virus detection is a diagnostic technique that identifies the presence of viral genetic material with high specificity and accuracy. This study aimed to detect TiLV infection in farmed Nile tilapia. The procedures included sample collection, necropsy, organ fixation, RNA extraction, PCR amplification, electrophoresis, and gel documentation analysis. Based on the PCR results, Nile tilapia samples tested positive for TiLV infection, as indicated by the presence of a 250 bp DNA band in the gel documentation system, aligning with the TiLV positive marker. Among the three fish showing suspected TiLV symptoms, two (66.6%) were confirmed infected.
ANALISIS PEMBAGIAN ZONA PROTEKSI PADA JARINGAN DISTRIBUSI 20 kV PENYULANG MERANTI GI BUNGARAN UNTUK MENINGKATKAN PELAYANAN KE KONSUMEN Fitria, Dina; Maulana, Muhammad Arif
Jurnal Ampere Vol. 5 No. 2 (2020): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v5i2.5056

Abstract

Not all feeders of the 20 kV distribution network distribution of the protection zone work well, one of which is the Meranti feeder. Meranti feeders have a high failure of protection zone coordination. The feeder with the division of 6 protection zones has failed coordination of the protection zone 33 times in 2017. Where protection in zone 4, zone 5 and zone 6 always trips together with protection zone 3. This causes the continuity of service to be disrupted because the area is not disturbed too. go out too. From the analysis, it is found that the failure of coordination of protection relays in zone 4, zone 5 and zone 6 is caused because in zone 3 protection the amount of time setting is the same as zone 4, zone 5 and zone 6, namely 0.05 tms. And the coordination of the protection settings is said to be good if the downstream relay setting is faster than the upstream side, so that in setting the relay on the Meranti feeder it starts from the end protection relay with the fastest time (0.05 tms) and upstream can increase each stage by 0 , 3 secondsABSTRAK Tidak semua penyulang jaringan distribusi 20 kV pembagian zona proteksinya bekerja dengan baik, salah satunya adalah penyulang Meranti. Penyulang Meranti memiliki kegagalan koordinasi zona proteksi yang masih tinggi. Penyulang dengan pembagian 6 zona proteksi  tersebut memiliki kegagalan koordinasi zona proteksi sebanyak 33 kali pada tahun 2017. Dimana proteksi pada zona 4, zona 5 dan zona 6 selalu trip bersamaan dengan proteksi zona 3. Hal ini menyebabkan continuitas pelayanan terganggu karena daerah yang tidak terganggu juga ikut padam. Dari hasil analisis didapatkan bahwa kegagalan koordinasi relay proteksi pada zona 4, zona 5 dan zona 6 disebabkan karena pada proteksi zona 3 besaran setting waktunya sama dengan zona 4, zona 5 dan zona 6 yaitu 0,05 tms. Dan koordinasi setting proteksi dikatakan baik apabila setting relai disisi hilir lebih cepat dari sisi hulu, sehingga dalam melakukan setting relai pada penyulang Meranti dimulai dari relai proteksi paling ujung dengan waktu paling cepat (0,05 tms) dan ke hulu dapat naik setiap tahap sebesar 0,3 detik.
Nagari Tanjung Balik Menuju Digitalisasi Data Syafriandi, Syafriandi; Amalita, Nonong; Vionanda, Dodi; Fitria, Dina; Zilrahmi, Zilrahmi; Yarman, Yarman
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 22, No 3 (2022): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.03280

Abstract

Kegiatan pembangunan hendaknya dilaksanakan dengan menggunakan perencanaan yang tepat. Perencanaan ini memerlukan informasi yang diperoleh dengan adanya data.  Nagari Tanjung Balik Kecamatan X Koto Singkarak merupakan salah satu nagari yang termasuk dalam Kecamatan X Koto Singakarak, Kabupaten Solok. Untuk perencanaan pembangunan, nagari ini memerlukan adanya informasi dan data. Namun, nagari ini tidak memiliki akses ke data sektoral yang terhimpun di BPS. Di sisi lain, nagari ini juga dihadapkan pada keterbatasan sumber daya yang memiliki pengetahuan tentang Statistika. Oleh karena itu, tim pengabdi melaksanakan Kegiatan Pengabdian kepada Masyarakat di Nagari Tanjung Balik untuk membantu mengatasi kedua masalah di atas.  Dari kegiatan pengabdian ini, pemerintah Nagari Tanjung Balik memiliki database yang terbaru, akurat, dan mudah diakses yang bisa digunakan untuk mengetahui informasi yang detail tentang masyarakat nagari ataupun untuk memetakan potensi dan masalah di nagari. Begitu pula, dari kegiatan ini,  pemerintah nagari telah memiliki kader yang bisa melakukan pengumpulan data di waktu yang akan datang dengan menggunakan aplikasi RSN dan mengelola database yang telah dibangun.
Co-Authors Abdillah, Muhammad Mukhlis Abdul Aziz, Ahmad Malik Abdur Rahim, Abdur Al Aziz, Saddam Alamin, M. Anggari Linda Destiana Antasya, Faridah Darussalam, Muhammad Illyas Day, Dafzel Dewi Rawani Dinul Haq, Asra Dodi Vionanda Dony Permana Fathonah, Deffya Ghaly, Fayyadh Hendrawan, Muhammad Indri Astuti Joni Joni Khalida, Rizqiana Maulana, Muhammad Arif Moh. Wahyu Aminullah Moulita, R.A. Nurul Muhni Pamuji, Muhni Mujaidiah Mukhti, Tessy Octavia Nahdah, Athaya Nisrina Nonong Amalita Nugroho, Agung Pajrini, Nurul Hasni Permana, Dony Putri, Sindy Amelia Revelino, Imanuel Ridho, Fakhru Rini Afrianti Salma, Admi Suhady, Suhady Suherman, Suherman Suparmin Suparmin Syafriandi Syafriandi Turrohmah, Azizah Yarman Yarman, Yarman Yenni Kurniawati Yudi Irwansi, Yudi Yuwon, Yuwon zafira, Rufaidah Zamahsary Martha Zilrahmi, Zilrahmi