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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNOLOGI DAN OPEN SOURCE
Wisnu Mukti Darwansah
Universitas Pembangunan Nasional "Veteran" Jawa Timur
Computer Science & IT

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SISTEM INFORMASI PENGELOLAAN STOK OBAT (STUDI KASUS APOTEK SEMOGA LEKAS SEMBUH) Anindo Saka Fitri; RM Mohd. Pujangga Kharisma Putra; Afrida Lailiyah Hanim; Dhavina Ocxa Dwiyantie; Yulita Revica Vidianti; Wisnu Mukti Darwansah
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 2 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i2.2891

Abstract

Rekap Data Apotek Semoga Lekas Sembuh atau yang disebut sebagai REDASELESE adalah suatu sistem yang dirancang untuk keperluan pengelolaan data stok obat pada Apotek Semoga Lekas Sembuh. REDASELESE berguna untuk mengelola pencatatan stok obat di dalam lingkup Apotek SLS. Dengan begitu, setiap datanya akan selalu menerima keadaan up to date antara pihak admin, customer serta pemilik Apotek SLS tersebut. Pada penelitian ini kami akan menjelaskan lebih detail mengenai sistem informasi yang kami buat dengan menggunakan Iconix Process Method.
SISTEM INFORMASI PENGELOLAAN STOK OBAT (STUDI KASUS APOTEK SEMOGA LEKAS SEMBUH) Anindo Saka Fitri; RM Mohd. Pujangga Kharisma Putra; Afrida Lailiyah Hanim; Dhavina Ocxa Dwiyantie; Yulita Revica Vidianti; Wisnu Mukti Darwansah
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 2 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i2.2891

Abstract

Rekap Data Apotek Semoga Lekas Sembuh atau yang disebut sebagai REDASELESE adalah suatu sistem yang dirancang untuk keperluan pengelolaan data stok obat pada Apotek Semoga Lekas Sembuh. REDASELESE berguna untuk mengelola pencatatan stok obat di dalam lingkup Apotek SLS. Dengan begitu, setiap datanya akan selalu menerima keadaan up to date antara pihak admin, customer serta pemilik Apotek SLS tersebut. Pada penelitian ini kami akan menjelaskan lebih detail mengenai sistem informasi yang kami buat dengan menggunakan Iconix Process Method.
Classification and Mapping of Online Gambling Based on News Articles Using NER and SVM Wisnu Mukti Darwansah; Amalia Anjani Arifiyanti; Rizka Hadiwiyanti
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4707

Abstract

The phenomenon of online gambling in Indonesia has developed rapidly, posing serious social and economic threats. This thesis aims to classify and map online gambling activities based on digital news using the Support Vector Machine (SVM) algorithm and Named Entity Recognition (NER). Data were collected from the news portals Detik.com, Kompas.com, and Tribunnews from 2017 to 2024 through a web scraping approach. The research process included setup and library import, data upload, data exploration, data labeling according to Law No. 1 of 2023, data preprocessing, data filtering, location normalization and extraction, and location data cleaning. Subsequently, the SVM model was trained for risk classification and followed by prediction. Evaluation was conducted using accuracy and F1-score metrics to assess overall model performance and classification balance. Based on the evaluation results, the Normal SVM model demonstrated the best performance with an accuracy of 96.94% and an F1-score of 0.97. The findings indicate that the combination of NER and SVM effectively identifies the location and risk level of online gambling activities. This research is expected to contribute to law enforcement authorities and policymakers in their efforts to prevent and address online gambling activities in Indonesia.
Co-Authors Afrida Lailiyah Hanim Amalia Anjani Arifiyanti Anindo Saka Fitri Dhavina Ocxa Dwiyantie Rizka Hadiwiyanti RM Mohd. Pujangga Kharisma Putra Yulita Revica Vidianti