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All Journal Jurnal Ilmu Informasi Perpustakaan dan Kearsipan Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan JOIN (Jurnal Online Informatika) Jurnal Belantara Jurnal SOLMA Journal of Regional and Rural Development Planning Jurnal Eksplora Informatika Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Tekno Global Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Pengabdian Nasional Indo-MathEdu Intellectuals Journal Jurnal Penelitian Geografi (JPG) Jurnal Talenta Sipil Indonesian Journal of Community Services Cel Jurnal Veteriner dan Biomedis Jurnal Pengabdian dan Pemberdayaan Masyarakat Inovatif Journal of Plano Studies Indonesian Journal of Statistics and Its Applications Geoid - Journal of Geodesy and Geomatics Datum: Journal of Geodesy and Geomatics
Anisa, Rahma
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Veterinary Other

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Cluster Level Time Series Forecasting on Indonesian Banking Stock Prices Using the Gated Recurrent Unit Method Faisal Arkan; Susetyo, Budi; Anisa, Rahma
Indonesian Journal of Statistics and Applications Vol 9 No 2 (2025)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v9i2p261-273

Abstract

In recent years, there has been a significant increase in the number of Single Investor Identification registrations in the Indonesian capital market, as reported by the Financial Services Authority. Many investors favor stocks for their potential for high returns and liquidity. However, stock investments come with high risks due to their fluctuating prices, which are influenced by multiple factors. With 47 listed banking companies in the Indonesia Stock Exchange, clustering can help identify investor patterns. Forecasting stock prices is essential for anticipating future fluctuations. The large number of issuers and the tendency of stock prices to fluctuate increase the potential for outliers, requiring an appropriate clustering method. A study using the k-medoid method and dynamic time warping distance revealed 41 banking companies clustered into 5 clusters with a silhouette coefficient of 0.524. The Gated Recurrent Unit modeling, based on prototypes from the formed clusters, showed an excellent forecasting performance with root mean squared error and mean absolute percentage error ranging from 1-10%. The forecast for the next 8 weeks indicated varying price increases for each cluster. The first and third clusters are recommended for investors looking to maximize capital gains, due to their price increases and diverse cluster member characteristics. Additionally, investors should consider dividends provided by certain banking companies in their investment decision-making process.
Evaluasi Kepuasan Pengguna terhadap OPAC di Perpustakaan Universitas Sumatera Utara Menggunakan Metode EUCS Suhaila, Shifwah; Maulida, Hasrina Arum; Munthe, Auly Fitri Fadilah Br; Anisa, Rahma; Septa, Septa; Saragih, Erikson
Ilmu Informasi Perpustakaan dan Kearsipan Vol 14, No 2 (2025): Jurnal Ilmu Informasi Perpustakaan dan Kearsipan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiipk.v14i2.136601

Abstract

Online Public Access Catalog (OPAC) merupakan sistem temu kembali informasi yang berperan penting dalam mendukung kebutuhan informasi sivitas akademika di perpustakaan perguruan tinggi. Tingkat keberhasilan OPAC dapat dilihat dari kepuasan pengguna terhadap sistem yang digunakan. Penelitian ini bertujuan untuk mengevaluasi tingkat kepuasan pengguna terhadap OPAC di Perpustakaan Universitas Sumatera Utara menggunakan metode End User Computing Satisfaction (EUCS) yang mencakup lima dimensi, yaitu content, accuracy, format, ease of use, dan timeliness. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif. Data dikumpulkan melalui kuesioner berskala Likert lima poin yang disebarkan kepada 83 mahasiswa aktif Universitas Sumatera Utara yang pernah menggunakan OPAC. Instrumen penelitian telah melalui uji validitas dan reliabilitas, dan seluruh item pernyataan dinyatakan valid serta reliabel. Data dianalisis menggunakan perhitungan nilai rata-rata untuk menggambarkan tingkat kepuasan pada setiap dimensi EUCS. Hasil penelitian menunjukkan bahwa secara umum pengguna merasa puas hingga sangat puas terhadap layanan OPAC. Dimensi format dan ease of use memperoleh nilai kepuasan tertinggi, yang menunjukkan bahwa tampilan antarmuka serta kemudahan penggunaan OPAC telah memenuhi harapan pengguna. Sementara itu, dimensi accuracy memperoleh nilai kepuasan paling rendah dibandingkan dimensi lainnya, meskipun masih berada pada kategori puas. Temuan ini mengindikasikan bahwa OPAC Perpustakaan Universitas Sumatera Utara telah berfungsi dengan baik sebagai sarana temu kembali informasi, namun masih memerlukan peningkatan pada aspek keakuratan dan pembaruan data koleksi. Hasil penelitian ini diharapkan dapat menjadi bahan evaluasi bagi pengelola perpustakaan dalam meningkatkan kualitas layanan OPAC.
Integrasi GIS dan Remote Sensing untuk Deteksi Perubahan Garis Pantai dengan Pendekatan NDWI dan DSAS pada Citra Landsat 8 dan 9 di Taman Nasional Sembilang Ariyantoni, Johan; Anisa, Rahma; Natul, Alshida; Ari sondang, Virgus; Nadia Putri, Debi
Journal Of Plano Studies Vol 2 No 2 (2025)
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Kepustakaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jops.v2i2.6182

Abstract

Indonesia merupakan negara kepulauan yang memiliki wilayah pesisir yang luas. Taman Nasional Sembilang yang terletak di wilayah pesisir timur Provinsi Sumatera Selatan Indonesia memiliki fenomena perubahan garis pantai sebagai dampak dari proses alam maupun aktivitas manusia. Kawasan Taman Nasional Sembilang adalah kawasan konservasi dengan karakteristik ekosistem mangrove dan delta yang rentan terhadap abrasi serta akresi. Deteksi perubahan garis pantai secara berkala harus dilakukan untuk mendukung pengelolaan pesisir yang berkelanjutan. Penelitian ini bertujuan untuk mendeteksi dan menganalisis perubahan garis pantai di Taman Nasional Sembilang melalui integrasi penginderaan jauh dan sistem informasi geografis (SIG) dengan pendekatan Normalized Difference Water Index (NDWI) dan Digital Shoreline Analysis System (DSAS) menggunakan citra satelit landsat 8 (2023) dan landsat 9 (2024). NDWI digunakan untuk mengekstraksi batas air dan daratan, sedangkan DSAS digunakan untuk menghitung laju abrasi dan akresi berdasarkan parameter End Point Rate (EPR), Net Shoreline Movement (NSM) dan Shoreline Change Envelope (SCE). Hasil penelitian menunjukkan bahwa wilayah taman nasional sembilang mengalami abrasi dengan rata-rata -12,87 m/tahun, sedangkan akresi dengan rata-rata mencapai 96,23 m/tahun. Rata-rata laju abrasi -11,52 m/tahun dan rata-rata laju akresi sebesar 86,09 m/tahun. Secara keseluruhan dapat disimpulkan bahwa dalam satu tahun terakhir daratan lebih banyak bertambah karena garis pantai lebih besar ke arah laut. Integrasi penginderaan jauh dengan metode NDWI dan pengolahan berbasis DSAS dalam lingkup SIG terbukti efektif dalam mendeteksi perubahan garis pantai secara spasial dan temporal serta dapat dijadikan dasar pemantauan kawasan konservasi pesisir secara berkelanjutan.
A Comparative Analysis of Aerial Photo Data Processing Using Agisoft Metashape Professional and WEBODM Pepayhosana, Ashelca Cristine; Fadly, Romi; Anisa, Rahma; Dewi, Citra
Jurnal Penelitian Geografi Vol 13 No 1 (2025): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v13.i1.33532

Abstract

This study compares the results of aerial photo data processing using Agisoft Metashape and WebODM software, focusing on geometric accuracy, orthomosaic quality, and processing time. The data consisted of 504 aerial photographs captured by a WingtraOne Gen II UAV and seven Independent Check Points (ICPs). Agisoft Metashape utilized photo alignment, dense cloud generation, DEM, and orthomosaic construction, while WebODM applied auto boundary, DEM, fast orthophoto, high PC quality, and skipped 3D model generation. The geometric accuracy was evaluated using CE90 and LE90 values, and the orthophoto quality was assessed through planimetric analysis. The results showed that WebODM completed the process in 19 hours and 57 minutes, whereas Agisoft required over 3 days. Agisoft yielded better accuracy (CE90 = 0.21 m, LE90 = 0.64 m) compared to WebODM (CE90 = 0.29 m, LE90 = 0.70 m). In terms of orthophoto quality, Agisoft preserved building and bridge shapes better than WebODM.
ANALISIS AMMI DENGAN RESPON GABUNGAN PADA UJI STABILITAS TANAMAN PADI GOGO DI KABUPATEN PACITAN Fahmi, Abdullah Ilman; Anisa, Rahma; Kurnia, Anang; IJSA, Indonesian Journal of Statistics and Its Applications
Indonesian Journal of Statistics and Applications Vol 3 No 1 (2019)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i1.173

Abstract

Gogo rice is one of the results of various rice cultivation development by planting in a dry land. Gogo rice is expected to give yield a better production of paddy in dry rice fields. The varieties Inpago 7, Inpago 8, Inpago 8 IPB, Inpago 9, Inpago 10, Situ Gintung, Situ Patenggang, Situ Bagendit, Gajah Mungkur, Slengreng TG, Slegreng GK, Srijaya, Towuti, Merah Wangi, dan Inpari 24 were used in this study. This study aims to identify the Gogo rice varieties that are stable and superior in six Pacitan Garden Experimental Plant locations based on a combined response using the AMMI method. The AMMI analysis combines an additive variety analysis as the main effects of treatment with multiple principle component analysis by bilinier modeling for interaction effect. This study used two combined responses, which described the plant productivity and the resistancy. The result of this study explained that some varieties, Inpago 8, Inpago 10, and Situ Patenggang, were stable varieties in all planting location based on the combined responses. According to productivity stability and plant resistancy superior gogo rice variety is Inpago 8 and Inpago 10.
CONSTRUCTING EARTHQUAKE DISASTER-EXPOSURE LIKELIHOOD INDEX USING SHAPLEY-VALUE REGRESSION APPROACH Anisa, Rahma; Sartono, Bagus; Silvianti, Pika; Alamudi, Aam; IJSA, Indonesian Journal of Statistics and Its Applications
Indonesian Journal of Statistics and Applications Vol 3 No 1 (2019)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i1.198

Abstract

Indonesia is very prone to earthquake disaster because it is located in the Pacific ring of fire. Therefore, a reference level of earthquake disaster exposure likelihood events in Indonesia is needed in order to increase people's awareness about the risks. This study aims to determine the index that describes the risk of possible future earthquake disaster. As initial research, this study is focus on earthquake disasters in Java region, as it has the largest population in Indonesia. Several indicators that are related to the severity of earthquake disaster impact, were used in this study. The weights of each indicators were determined by considering its shapley-value, thus all indicators gave equal contribution to the proposed index. The results showed that shapley-value approach can be utilized to construct index with equal contribution of each indicators. In general, the resulted index had similar pattern with the number of damaged houses in each districts.
Determining Critical Yield Index of Area Yield Insurance based on Basis Risk Constraint Sutomo, Valantino Agus; Kusumaningrum, Dian; Layvieda, Aurellia; Anisa, Rahma
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i1p205-219

Abstract

 Area yield index insurance at district level faces heterogeneous basis risk due to geographical conditions which implies to obtain unprecise critical index . Clustering and zone-based area yield scheme can reduce heterogeneous basis risk that leads to determine the suitable alternative for . On the previous research, we have obtained 7 clusters and 2 level of paddy productivity based on clustering assumption from primary data in Java. The suitable clustering assumption for calculating  is cluster based assumption, which gives the homogeneous paddy productivity under 7 clusters in Java. Therefore, our goal is to develop area yield index at district level (cluster based) with minimize basis risk at certain constraints for paddy farmer productivity in Java Indonesia. There are some methods for calculating  such as mean, median, winsor mean, one sigma, two sigma and  (first quartile) method on the basis risk constraints using confusion matrix. Furthermore, two basis risk constraints are the difference between overpayment and shortfall is not extremely far, and total basis risk does not exceed 20% of its total claim occurrence. Two sigma method has the lowest basis risk, overpayment, and shortfall, but it has lowest pure premium, small probability of claim, and low range of claim. Hence, we consider to use  (first quartile) method as alternative and suitable method to calculate  that satisfied two basis risk constraints. In conclusion, our research provides analytical calculation for area yield index at district level with pure premium as Rp 152,151 using  ( method), which is sufficient to cover the total claim and consistent with the simulation.
Co-Authors Aam Alamudi Abdalla, Ulul Abshor Al Kautsar, Nanggroe Alpharofi, Deswita Nur Alwi Aliu, Muftih Anang Kurnia Anggriani, Latusi Angraini, Desti Anik Djuraidah Aqzela, Araneta Ari sondang, Virgus Ariyantoni, Johan Atika Sari Aziz, Waddan Azkiya, Azka Al Bachmid, Salma Safitri Badariah Badariah Bagus Sartono Bayu Febram Prasetyo Budi Susetyo Budiono, Novericko Ginger Citra Dewi Citra Dewi Citra Dewi Dian Kusumaningrum Diaz, Fariz Arrachman Djanna, Miftahul Eko Rahmadi Erikson Saragih Fadillah, Maulana Ahsan Fahmi, Abdullah Ilman Faisal Arkan Fajriyanto Fajriyanto , Fajriyanto Fajriyanto Fajriyanto Fauzan Murdapa Fauzy, Achmad Rizky Febrian, Ricky Fitri, Arni Diana Furi Furnamasari, Yayang Gracia, Christas Haq, Mohammad Arinal Hasanah, Delita Nur IJSA, Indonesian Journal of Statistics and Its Applications Layvieda, Aurellia Lina Noviyanti Sutardi Luthfiatunnisa, Farah Fauziah Madyastuti, Rini Maghfira, Rhaudya Zihan Esa Maulida, Hasrina Arum May, Ng U Mufida, Anis Arifatu Munthe, Auly Fitri Fadilah Br Murdapa, Fauzan Muzakki, Faiz Aji Nadia Putri, Debi Nafiah, Uyun Naimullah, Muhammad Najdmuddin, Muhammad Tsaqif Natul, Alshida Nurdiansyah, Rio Dwi Haryadi Onny Marleen Pepayhosana, Ashelca Cristine Pika Silvianti Pingkan, Anggista Dwiana Putri Astrini, Yufan Putri Astrini Ramdhani, Muhammad Husni Ristianti, Risma Ristiyanti Tarida, Arna Rizky Kurniawan Romi Fadly Sabirah, Ruzaina Sachnaz Desta Oktarina Septa, Septa Septemberini, Cintia Septiana, Melda Silaban, Regina Marito Siregar, Fitri Ana Suhaila, Shifwah Sutomo, Valantino Agus Syafitri, Aliefa Leony Syafitri, Nina Tasya Meilania, Gusti Witri, Alina Yenni Angraini Yulistian, Saldi