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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Format : Jurnal Imiah Teknik Informatika Ensiklopedia of Journal Jurnal Ilmu Komputer Dan Informatika Journal Collabits
Inna Sabily Karima
Universitas Mercu Buana
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Comparative study of extraction features and regression algorithms for predicting drought rates Irza Hartiantio Rahmana; Amalia Rizki Febriyani; Indra Ranggadara; Suhendra Suhendra; Inna Sabily Karima
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 3: June 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i3.23156

Abstract

Rice is the primary staple food source for Indonesian people, with consumption increasing so that rice production needs to be increased. Rice drought is one of the problems that can hamper rice production. This research aims to determine the best extraction feature between the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI) in describing rice fields’ dryness. Moreover, using the random forest regression algorithm. This research compares NDVI with NDWI using data originating from Sentinel-2A and retrieved via the google earth engine. Regression algorithms are used in research to predict drought in paddy fields. This research shows that NDVI is better than NDWI in predicting drought using random forest regression algorithms and logistic regression algorithms. The random forest regression algorithm based on the results obtained shows that the average root mean square error (RMSE) on NDVI is 0.018, and NDWI is 0.012. Based on the logistic regression algorithm results, it was found that the average value of RMSE on NDVI was 0.346, and NDWI was 0.336. Based on the results of the RMSE, it shows that the forecasting ability of the random forest regression algorithm is better than the logistic regression.
ANALISA DAN PERANCANGAN SISTEM INFORMASI MANAGEMENT INVENTARIS KANTOR PADA DIVISI GENERAL AFFAIRS Zainal Abidin; Inna Sabily Karima
Ensiklopedia of Journal Vol 1, No 3 (2019): Vol 1 No 3 Edisi 1 April 2019
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (779.77 KB) | DOI: 10.33559/eoj.v1i3.131

Abstract

Dalam era globalisasi sekarang ini, teknologi informasi melaju dengan cepat. adapun komputer yang merupakan peralatan yang diciptakan untuk mempermudah pekerjaan, saat mencapai kemajuan baik di dalam pembuatan perangkat keras maupun perangkat lunak. PT. Tirta Puspita Jaya mempunyai keinginan memudahkan pencarian data barang inventaris perusahaan dengan efektif dan efisiensi sistem dalam pendataan inventaris perusahaan dengan menggunakan interaktif website. Karena data barang inventaris sendiri memegang peranan penting bagi perusahaan, maka dari itu dibangunlah sistem untuk inventarisasi barang kantor yang berbasis website pada departemen General Affairs PT. Tirta Puspita Jaya. Hasil akhir penelitian ini adalah suatu aplikasi berbasis web yang mempermudah dan mempercepat proses inventarisasi dan pengadaan barang di departemen General Affairs pada PT Tirta Puspita Jaya yang dapat menghasilkan informasi yang akurat, valid, dan relevan.
ANALISA DAN PERANCANGAN SISTEM INFORMASI KEHADIRAN DAN KEPEGAWAIAN BERBASIS PT. GRAHA KABELINDO Sival Mukaromahh; Inna Sabily Karima
Ensiklopedia of Journal Vol 1, No 3 (2019): Vol 1 No 3 Edisi 1 April 2019
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.332 KB) | DOI: 10.33559/eoj.v1i3.138

Abstract

Employee attendance and payroll systems are things that matters for every company, because they can simplify the implementation.But in this case the implementation of the system at the company PT. Graha Kabelindo still using a simple system such as ms. Excel so there are still obstacles that happen ,such as in employee data management, attendance, overtime, filing leave, and payroll. In the end the author was interested in creating a web-based attendance and payroll system design using the PHP programming language and MySQL database and using the waterfall method. The expected results hopefully can simplify reporting online attendance and payroll for all employees.
RANCANG BANGUN WEBSITE OPEN TRIP & PENYEWAAN ALAT PENDAKIAN TRIPUS.COM Muhammad Ekky Chandra; Muhammad Aulia Rakhman Afriandhani; Inna Sabily Karima
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 4, No 1 (2021): Juni
Publisher : JUKOMIKA (Jurnal Ilmu Komputer dan Informatika)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (689.413 KB)

Abstract

Pendakian di kalangan remaja sampai dewasa sedang ramai diminati tak jarang banyak calon pendaki mengalami kendala maupun kesulitan karena informasi didapat kurang lengkap dalam mengikuti trip pendakian yang disediakan oleh pihak penyelenggara khususnya komunitas yang mengadakan open trip dan minimnya perlengkapan alat pendakian yang dimiliki para calon pendaki, oleh karena itu penelitian ini dilakukan untuk mengembangkan suatu aplikasi berdasarkan penelitian terhadap komunitas pendaki penyelenggara trip yang sebelumnya bersifat manual dalam hal informasi serta pencatatan calon pendaki, perlu adanya laman informasi mengenai seputar trip dalam mengikuti pendakian yang diselenggarakan dan penyajian penyewaan perlengkapan pendakian dalam satu wadah. Proses pembuatan aplikasi dilakukan dengan menggunakan metode Agile. Hasil dari penelitian ini dikembangkan dalam bentuk sistem informasi berbasis web. Sebagai sarana aplikasi yang diusulkan khusunya mempermudah penyelenggara trip pendakian dalam memberikan informasi dalam satu aplikasi mulai dari pendaftaran keikutsertaan trip kepada calon pendaki hingga penyewaan kebutuhan peralatan pendakian.
Penerapan Machine Learning untuk memprediksi Resiko Pengidap Penyakit Jantung menggunakan Algoritma decision tree Karima, Inna Sabily
FORMAT Vol 14, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i1.007

Abstract

Heart disease remains a leading cause of mortality worldwide, necessitating innovative approaches to improve diagnosis and management. This study aims to enhance the prediction of heart disease risk using machine learning, particularly the Decision Tree algorithm. A publicly available dataset containing 303 entries with 14 features related to heart disease risk factors, such as age, cholesterol levels, blood pressure, and electrocardiogram results, was utilized. The data underwent preprocessing steps, including normalization, handling outliers, and standardization, to ensure optimal model performance. The Decision Tree algorithm was trained on 80% of the dataset and evaluated on the remaining 20%. The model achieved an accuracy of 80%, with a balanced F1-score of 0.82, demonstrating its effectiveness in predicting heart disease risk. Feature importance analysis revealed that cholesterol levels, age, and resting blood pressure were the most influential predictors. The Decision Tree's interpretability provides valuable insights for medical practitioners, enabling more accurate and transparent risk assessments. This study highlights the potential of machine learning in medical diagnostics, particularly in identifying high-risk individuals for early intervention and better patient outcomes.
Comparative Analysis of Consumer Experience Against Business Strategy in E-Commerce: Case Study of Shopee and Tokopedia Hakim, Lukman; Karima, Inna Sabily; Oktavian, Rahmat; Muarif, Muhammad Riski; Hidayat, Ahmad
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27242

Abstract

The purpose of this research is to compare customer experiences in e-commerce. Electronic commerce is a global phenomenon that has changed the way businesses interact with consumers. It involves buying, selling and exchanging goods and services through online platforms. E-commerce has grown rapidly along with advances in information technology in business strategies. However, the challenges faced in e-commerce include the security of online transactions, intense competition, and the need to build customer trust. Examples of e- commerce are SHOPEE, LAZADA, TOKOPEDIA and others. It's just that in this research theresearcher will compare the 3 studies in terms of customer experience. SHOPEE, LAZADA AND TOKOPEDIA are three e-commerce platforms operating in Southeast Asia, including Indonesia. By using quantitative methods.
Co-Authors Ahmad Hidayat Amalia Rizki Febriyani Indra Ranggadara Irza Hartiantio Rahmana Lukman Hakim Muarif, Muhammad Riski Muhammad Aulia Rakhman Afriandhani Muhammad Ekky Chandra Oktavian, Rahmat Sival Mukaromahh Suhendra Suhendra Zainal Abidin