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All Journal Jurnas Nasional Teknologi dan Sistem Informasi INFORMAL: Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ILKOM Jurnal Ilmiah Martabe : Jurnal Pengabdian Kepada Masyarakat INTEGRITAS : Jurnal Pengabdian Cyber Security dan Forensik Digital (CSFD) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) G-Tech : Jurnal Teknologi Terapan Indonesian Journal of Data and Science Jurnal Pengabdian Masyarakat Indonesia Buletin Sistem Informasi dan Teknologi Islam Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Bulletin of Social Informatics Theory and Application Journal Pharmacy and Application of Computer Sciences Engineering: Journal of Mechatronics and Education Linier: Literatur Informatika dan Komputer
Muhammad Arfah Asis
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Muslim Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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K-Nearest Neighbors Analysis for Public Sentiment towards Implementation of Booster Vaccines in Indonesia As'ad, Ihwana; Asis, Muhammad Arfah; Pakka, Hariani Ma'tang; Mursalim, Randi; Noor, Yusnita binti Muhamad
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1561.365-372

Abstract

In order to prevent the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has been implementing a booster vaccine program since January 12th, 2022, with priority for the elderly and vulnerable groups as well as those who got the second C-19 vaccine longer than 6 months. The implementation of this program raised many pros and cons among public which were expressed either positively or negatively through social media. Therefore, sentiment analysis is needed to examine these phenomenons. This study aims to determine the positive and negative response from public by employing K-Nearest Neighbor method. A total of 2,000 commentary data were collected to be in turn classified based on positive and negative sentiments. There are 500 comments used as training data and divided equally to positive and negative class, each consists of 250 data. Using the value of K = 9, the results show a positive sentiment of 43% while a negative sentiment of 57%. Based on the validity test using 10-fold cross validation, an accuracy of 82.60% was obtained, a recall value was 82.60% with a precision of 83.89%.
Perancangan Sistem Manajemen Tugas Berbasis Web Dengan Fitur Gamifikasi Anugrah Sumaja, Muh. Askan Tri; Anraeni, siska; Asis, Muhammad Arfah
LINIER: Literatur Informatika dan Komputer Vol 3, No 1 (2026)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v3i1.3493

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan sistem berbasis web untuk meningkatkan efektivitas dalam pengelolaan tugas, baik di lingkungan kerja maupun akademik. Permasalahan umum dalam manajemen tugas meliputi kurangnya struktur, keterlambatan penyelesaian, dan rendahnya motivasi pengguna. Penelitian ini bertujuan untuk merancang Sistem Manajemen Tugas Berbasis Web dengan fitur gamifikasi untuk mendukung penugasan dan pemantauan progres secara terintegrasi. Metode yang digunakan dalam penelitan ini adalah System Development Life Cycle (SDLC) dengan model Waterfall yang terdiri dari beberapa tahapan, yaitu analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem dirancang dengan menggunakan pemodelan Unified Modeling Language (UML) serta didukung oleh basis data yang mengakomodasikan fitur pengelolaan tugas dan mekanisme gamifikasi seperti poin, level, badge, bonus ketepatan waktu, serta pengukuran konsistensi harian (streak). Hasil perancangan menunjukkan bahwa system bisa membantu pengelolaan tugas secara digital dan menampilkan progress pengguna secara lebih terstruktur melalui penerapan Gamifikasi. Dengan adanya mekanisme evaluasi berdasarkan prioritas tugas, ketepatan waktu, dan konsistensi penyelesaian, rancangan sistem diharapkan dapat mendukung peningkatan motivasi dan kesiplinan pengguna dalam menyelesaikan tugas
Improving Data Completeness in SINTA Publication Scraping Using an Iterative Method Muhammad Arfah Asis; St. Hajrah Mansyur; Nia Kurniati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): Juni 2026 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.6952

Abstract

The structure of publication data on lecturer profiles in SINTA, particularly those indexed by SCOPUS, often results in data duplication and missing records. This issue arises because articles are distributed by year across multiple pages, making standard single-pass scraping methods unable to guarantee data completeness. This study aims to develop and evaluate the effectiveness of an iterative scraping method in improving the accuracy of publication data retrieval from SINTA. The proposed method involves a series of ten experimental trials, in which the results of single-pass scraping are compared with those of iterative scraping. The evaluated parameters include the level of data completeness and the number of iterations required to achieve optimal results. The findings indicate that single-pass scraping captures only an average of 70.7% of publications in the first iteration, with frequent occurrences of duplicated and missing data. In contrast, the iterative scraping method consistently achieves 100% publication retrieval across all trials, although it requires a varying number of iterations ranging from four to eleven. Therefore, it can be concluded that iterative scraping is a more reliable approach for ensuring the completeness and accuracy of publication data. Although this approach demands greater computational resources than standard methods, it is well suited for large-scale bibliometric studies, institutional evaluations, and more comprehensive monitoring of research trends.
Co-Authors A. Ulfah Tenripada Abd Hamid Adam Ali Abdalla, Modawy Andi Aqris Manrang Anugrah Sumaja, Muh. Askan Tri As'ad, Ihwana Astiani, Ririn Atmajaya, Dedy Baharuddin, Nurul Hikmah Dewi Widyawati Djainuddin, Djainuddin Dolly Indra Dolly Indra Erick Irawadi Alwi Erick Irawadi Alwi Faradibah, Amaliah Fattah, Farniwati Fattah, Muhammad Hattah Firman Aziz Fuadi Syam, Rahmat Hargiani, Fransisca Xaveria Harlinda Lahuddin Harno Supardin Harpiana Rahman Hendrial, Hendrial jabir, sitti rahmah Jeffry Jezika Anastazya Jufda, Muhammad Alfarid Kurnia Prihandani, St Nadya Lutfi Budi Ilmawan Lutfi Budi Ilmawan Lutfi Budi Ilmawan, Lutfi Budi Manga, Abdul Rachman Marsujitullah Marsujitullah Ming Foey Teng, Ming Foey Modi, Muhammad Hilal Mude, Muh Aliyazid Muh Agus Muh Aliyazid Mude Muh Aliyazid Mude Muhsina Muhsina, Muhsina Mursalim, Randi Nia Kurniati Nia Kurniati Noor, Yusnita binti Muhamad Nur Ikhwan Alfiansyah Nurhidayati Islamiah Nurul Rahmayani Pakka, Hariani Ma'tang Purnawansyah Purnawansyah Rahman Ramadhan Rahmayani, Nurul Ramdan Satra Ramdaniah Ramdaniah Ririn Astiani Salim, Yulita Siska Anraeni Sitti Hajrah Mansyur Sitti Patimah Sitti Rahmah Jabir St Nadya Kurnia Prihandani St. Hajrah Mansyur Syahrul Usman Tenripada, Andi Ulfah Yudharta Arif Yulita Salim Zulkhair Burhan