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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) KOMPUTIKA - Jurnal Sistem Komputer Prosiding Seminar Nasional Official Statistics
Marsisno, Waris
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Analisis Cluster Kondisi Keterampilan, Akses dan Fasilitas Teknologi Informasi dan Komunikasi di Indonesia watin, Rahma; Permatasari, Noverlina Putri; Wijayanto, Arie Wahyu; Marsisno, Waris
Komputika : Jurnal Sistem Komputer Vol. 13 No. 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.10796

Abstract

In facing the digital transformation era, there are still imbalances in terms of skills, access, and information and communication technology facilities in Indonesia. It is necessary to group areas to identify areas that are still lagging, as evaluation material for equitable development. The clustering of regions is done by comparing the Partitioning and Hierarchical Clustering Methods. The Partitioning Clustering algorithm used is K-Means Clustering, with an optimum number of clusters of 4. The Hierarchical Clustering algorithm used is Agglomerative Ward, with a coefficient value of 0.864. Grouping using the Agglomerative Ward method produces an optimum number of clusters of 3. The Hierarchical Clustering method is better than the Partitioning method, with a Silhouette Value of 0.37.
Implementing deep learning-based named entity recognition for obtaining narcotics abuse data in Indonesia Azhar, Daris; Kurniawan, Robert; Marsisno, Waris; Yuniarto, Budi; Sukim, Sukim; Sugiarto, Sugiarto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp375-382

Abstract

The availability of drug abuse data from the official website of the National Narcotics Board of Indonesia is not up-to-date. Besides, the drug reports from Indonesian National Narcotics Board are only published once a year. This study aims to utilize online news sites as a data source for collecting information about drug abuse in Indonesia. In addition, this study also builds a named entity recognition (NER) model to extract information from news texts. The primary NER model in this study uses the convolutional neural network-long short-term memory (CNNs-LSTM) architecture because it can produce a good performance and only requires a relatively short computation time. Meanwhile, the baseline NER model uses the bidirectional long short-term memory-conditional random field (Bi-LSTMs-CRF) architecture because it is easy to implement using the Flair framework. The primary model that has been built results in a performance (F1 score) of 82.54%. Meanwhile, the baseline model only results in a performance (F1 score) of 69.67%. Then, the raw data extracted by NER is processed to produce the number of drug suspects in Indonesia from 2018-2020. However, the data that has been produced is not as complete as similar data sourced from Indonesian National Narcotics Board publications.
Buffering dan Nearest Neighbor Analysis pada Google Maps dalam Penyediaan Data Sektor Kepariwisataan Fadellah, Putri Kurnia; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1628

Abstract

So far, the recording of tourism facilities uses the survey method with several drawbacks, so that web scraping is an alternative for collecting data on tourism facilities. This study aims to collect data on tourism facilities using Google Maps web scraping, find out distribution patterns and tourism potential, and analyze the affordability of accommodation locations and food and drink providers to tourist attraction objects. The results showed that there were 5,149 accommodations, 2,085 tourist attraction objects, and 4,421 food and drink providers. Tourism facilities are clustered in South Bali. Gianyar, Badung and Denpasar are potential areas in the tourism sector. For buffer analysis, a 5Km ring buffer was used, resulting in 99.94% of accommodation and 99.95% of food and drink providers in Bali Province being very close to tourist attractions. Meanwhile for the 20Km buffer, it was found that all accommodation and food and drink providers in the Province of Bali are within reach of tourist attractions. Buffer analysis was also carried out with ring buffers μ+σ, μ+2σ, and μ+3σ, there were 97.79% of accommodations and 98.62% of food and drink providers in Bali Province that were accessible by location.
Klasifikasi Tingkat Stres Akademik dan Gambaran Mekanisme Koping Mahasiswa Sari, Dita Dwi Wulan; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1691

Abstract

Stress is a natural thing and often encountered in life. Stress can also occur in an academic environment (academic stress). Academic stress occurs due to the inability of students to adapt to lecture conditions. Changes in teaching and learning activities due to Covid-19 can also trigger academic stress. Therefore, it is important for students to have good problem management (coping mechanisms) in dealing with stress. This study aims to describe the level of academic stress and coping mechanisms for Polstat STIS T.A 2022/2023 students along with their classifications. The research was conducted on 360 Polstat STIS students T.A 2022/2023 using an instrument in the form of an online questionnaire. Data analysis in this study uses the decision tree algorithm C5.0. The results showed that 70.6 percent of students were at moderate stress levels. The most influential variable in moderate stress levels is intrapersonal (34.22 percent). As many as 51.39 percent of students use adaptive coping mechanisms with influential indicators namely restrain coping, planning, active coping and acceptance. The stress level decision tree model produces an accuracy of 96.1 percent with a tree size of 23.
Pengaruh Sektor Pariwisata Terhadap Tingkat Kemiskinan di Provinsi Nusa Tenggara Timur Tahun 2022 dengan Pendekatan Analisis Spasial Taufiqqurrahman, M.; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.1970

Abstract

Poverty remains one of the serious issues in East Nusa Tenggara Province. In 2022, the province ranked third highest in poverty rates in Indonesia. One strategy to alleviate poverty is through tourism. This research aims to identify variables from the tourism sector influencing the poverty rate in East Nusa Tenggara Province in 2022, considering spatial effects. The research results indicate a positive spatial dependency on the poverty rate. By applying the Spatial Autoregressive Model (SAR), it was found that the variables number of domestic and foreign tourist, the number of restaurants, and the percapita GDP of tourism have a negative and significant impact on the poverty rate. Meanwhile, the variable number of accommodation does not significantly affect the poverty rate. Additionally, a simple dashboard has been created to display the actual poverty mapping and the results of spatial model estimation of poverty rates in East Nusa Tenggara Province in 2022.
Pengaruh Variabel Sosial-Lingkungan terhadap Prevalensi Balita Stunting di Pulau Sumatera Tahun 2022 Amin, Asy-Syaja'ul Haqqul; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.1971

Abstract

Stunting is one of the priority issues addressed by the Indonesian Government. As a region of Western Indonesia, Sumatra Island still has 22 districts/cities with high and very high stunting prevalence status from the results of the 2022 Indonesian Nutritional Status Survey (SSGI). At the same time, the condition of air pollutants in Sumatra also needs to be paid attention to as one of the causes of stunting along with other socio-environmental variables. Therefore, this research aims to determine the influence of socio-environmental variables on the prevalence of stunting in toddlers on the island of Sumatra. The Mixed GWR method was chosen to accommodate spatial heterogeneity in the model so that the results obtained showed that the percentage of women who marry early has an effect on increasing the prevalence of stunting globally. Meanwhile, the percentage of households with access to clean drinking water and the concentration of pollutants in the form of sulfur dioxide and ground-level ozone sourced from satellite imagery data have a local effect in several districts/cities on the island of Sumatra in 2022.
Perbandingan Algoritma dan Pemetaan Total Suspended Solid di Kawasan Pesisir Indonesia Berdasarkan Data Penginderaan Jauh Berbasis Google Earth Engine Latifa, Afina; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.1999

Abstract

Indonesia's waters are threatened by marine pollution from various sources, which harms marine ecosystems and human health. Total Suspended Solids (TSS) is a key parameter indicating marine pollution. This study aims to identify the MNDWI threshold value for coastal mapping in Indonesia using remote sensing data, compare TSS calculation algorithms to obtain the most accurate TSS estimates, and map TSS concentrations in Indonesia's coastal areas based on the best TSS algorithm. The collected remote sensing data were analyzed using Normalized Mean Absolute Error (NMAE), Root Mean Square Error (RMSE), and mapping techniques. The research mapped Indonesia's coastal areas with a Modified Normalized Difference Water Index (MNDWI) threshold value ≥ 0.06. The Laili algorithm was found to be the most accurate for TSS calculation, with an NMAE of 2.31% and an RMSE of 20.44. Additionally, TSS concentrations in Indonesia's coastal areas were mapped using the Laili, Liu, and Wijaya algorithms.
Pemanfaatan Hasil Data Digital Elevation Model untuk Estimasi Produksi Pertambangan Pasir dan Batu Robiul Awaliah, Mesya Anggita; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2093

Abstract

Sand and gravel (sirtu) are important materials in construction activities. Magelang Regency is a strategic area for sirtu mining with an abundant supply from Mount Merapi. Until now, data collection on sirtu mining still done manually through reporting from mining business owners. This research aims to estimate sirtu production data through the formation of Digital Elevation Model (DEM) data sourced from Sentinel-1 imagery using the Interferometric Synthetic Aperture Radar (InSAR) method. The DEM is processed using the cut and fill method to produce estimates of sirtu production. It is hoped that this research can be an alternative for collecting data on sirtu mining production in Magelang Regency. The research results show that the DEM obtained from Sentinel-1 imagery using the InSAR method has quite good quality so that the DEM can be used as a basis for calculating sirtu mining production estimates in Magelang Regency
Penyusunan Indeks Kelayakan Huni berdasarkan Data Citra Satelit dan Point Of Interest (POI) Jannah, Rofa Raudhatul; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2164

Abstract

Urban livability refers to a city that is fit to live in or the term livable city. The increasing number of urban zoned areas makes livability information important for urban planning and governance. However, livability assessments are often limited by data availability and update cycles, and data collection is expensive. Therefore, this research intends to explore urban liveability by utilizing big data in the form of satellite imagery and POIs, focusing only on information that can be extracted by these two sources. The method of compiling the livability index follows the OECD (2008) rules using factor analysis to determine the weight of indicators and constituent factors. There are 3 main constituent factors, namely the environmental sustainability factor, the public facilities factor and the industrial and commercial zone factor. Finally, the index mapping results show that there is a spatial pattern trend in the livability index in Bandung City.
Pemanfaatan Citra Satelit untuk Mendeteksi Zona Potensi Penangkapan Ikan Cakalang Sagitama, Daniel Angga; Marsisno, Waris
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2215

Abstract

North Sumatra has some of the main commodities of fishing, one of which is skipjack tuna. During the period from 2019 to 2021, the production of skipjack tuna in North Sumatra has declined. To help fishermen find out where the fish are gathering, it is necessary to map Potential Fishing Zone (PFZ) using remote sensing methods. The research is aimed at implementing remote sensing methods for PFZ detection using Aqua-MODIS sensor data, determining sea surface temperature spread (SST) and chlorophyll-a concentration, as well as forming a monthly PFZs map. Furthermore, the highest SST occurred in February at 34.5°C and the lowest in December at 27.3°C. Meanwhile, high concentrations of chlorophyll-a tend to accumulate near the coast. As a result of the estimate of the potential zone for catch, September has the most potential points followed by October, while the months with the least potential points are January, July, and March. From the results, it can be said that the best time to catch skipjack tuna in the West Indian Ocean, the Nias Islands and the Sibolga Nias waters is predicted to be in September and October.
Co-Authors Amin, Asy-Syaja'ul Haqqul Arie Wahyu Wijayanto Azhar, Daris Fadellah, Putri Kurnia Jannah, Rofa Raudhatul Latifa, Afina Permatasari, Noverlina Putri Robert Kurniawan, Robert Robiul Awaliah, Mesya Anggita Sagitama, Daniel Angga Sari, Dita Dwi Wulan Sugiarto S Sukim, Sukim Taufiqqurrahman, M. watin, Rahma Yuniarto, Budi