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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika MODELING: Jurnal Program Studi PGMI IT JOURNAL RESEARCH AND DEVELOPMENT PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kurawal - Jurnal Teknologi, Informasi dan Industri Jurnal Riset Informatika AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Review Pendidikan dan Pengajaran (JRPP) Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika C.I.T. Medicom G-Tech : Jurnal Teknologi Terapan Science Midwifery JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat U-NET Jurnal Teknik Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Komputer Antartika Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Nusantara Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Abdul Halim Hasugian
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The Application of Image Sharpening and Wiener Methods to Improve the Quality of Lung X-ray Images: Application of Image Sharpening and Wiener Methods to Improve the Quality of Lung X-ray Images Sriani; Hasugian, Abdul Halim; Nasution, Yurika
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.123

Abstract

Medical imaging is a process of visual representation of several functions of human organs whichs used for clinical diagnosis, medical treatment, suchs x-rays which are a form of electromagnetic radiation that penetrates the human body and has the result of images of human organs like shadows on special black x-ray paper with the aim of knowing the condition human organs, suchs healthy or unhealthy lung conditions. However, lung x-ray results can provide different results from the original because they have poor quality caused by noise, blurred colors and so on, making them difficult for humans to interpret. Therefore, it’s necessary to carry out an image processing process in order to improve image quality using sharpening or getting an image display with a better form of visualization. One of the techniques used in sharpening is the Wiener filter whichs a process of improving image restoration from blurry effects based on least squares. The average percentage results that occur after applying the sharpening and Wiener methods to blurred images are 67.30%, with an average difference of 32.69%.
Analysis of the Advanced Encryption Standard (AES) Method in Securing Web-Based Exam Questions Hasugian, Abdul Halim; Darta, Ali; Amalia, Rizki
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.127

Abstract

Data protection is a critical issue in the world Information volume technology, Most important in web-based systems that store sensitive information such as exam question data. This research aims to analyze AES Advanced Encryption Standard method as a tool to improve the security of web-based exam question data. This research utilizing a qualitative benchmark while carrying out a review library to understand the concepts and principles of AES, and analyzing the implementation and integration of AES in web-based systems. This research will also involve experiments by implementing a web-based exam question data security system using the AES method. Tests will be conducted by measuring system performance in terms of speed, reliability, and efficiency. In addition, a penetration test will also be conducted to evaluate the system's resistance to potential attacks from unauthorized parties. This research Hopefully we can provide more detailed information about data management web-based Questioning exam by applying approach AES. This research can also provide recommendations for the application of the AES method in other data security scenarios and contribute to facing data security challenges in the future. Thus, This argument can make a constructive contribution to building construction of secure and reliable web-based systems in storing and managing sensitive data.
Text Data Security Application Using a Mobile-Based Base64 Algorithm Rifki, Mhd Ikhsan; Muhammad Ezar Raditya; Abdul Halim Hasugian
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.146

Abstract

During the process of sending data or information on a communications network, various types of data and important information related to personal data and identity are often transacted on the network. This can be exploited by irresponsible parties to gain personal gain by duplicating personal data or information. So, protection is needed for data sent via communication networks. According to Law No. 27 of 2022, personal data protection includes all efforts to protect personal data and guarantee the constitutional rights of personal data subjects. Based on this, the research objective is to provide users with options to provide additional security for text data in the form of personal data. The base64 application provides data security by changing plaintext into ciphertext, which has an information structure that is very different from the original form of information. The text data security application using the base64 algorithm was designed using the Unified Modeling Language (UML) system development method. Regarding application development, the framework used is modular. So, with this application, text data has additional data security options to avoid behavior that could be detrimental.
Perancangan Aplikasi Absensi Karyawan Berbasis Web pada Perusahaan PDAM Tirtanadi Sumatera Utara Khaidir Hanafi; Abdul Halim Hasugian
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 3 (2025): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i3.412

Abstract

The employee attendance system is a crucial component of human resource management, particularly for performance evaluation, salary calculation, and discipline monitoring. PDAM Tirtanadi North Sumatra still employs a manual attendance system, which is considered inefficient, prone to errors, and slows down administrative processes. This study aims to develop a web-based attendance application to improve the accuracy and efficiency of employee attendance data management. The research method uses software engineering with the System Development Life Cycle (SDLC) model based on the waterfall approach. Data collection was conducted through observation, interviews with relevant stakeholders, and literature review. The application is designed with several key features, including user authentication, digital attendance recording, employee data management, attendance recap, and report generation in PDF formats. Testing results show that the application operates according to system requirements and positively impacts the efficiency of the attendance process. The implementation of this application is expected to accelerate administrative procedures, enhance accountability, and provide a more accurate data foundation for analysis and managerial decision-making.
Analisis Sentimen Masyarakat Kota Medan Terhadap Persiapan PON XXI Sumut-Aceh 2024 Menggunakan Metode Naive Bayes Muhammad Suhery; Gema Ramadhan; Abdul Halim Hasugian
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 5 (2024): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i5.207

Abstract

The North Sumatra Aceh National Sports Week (PON) which will be held in September 2024 in Papu, North Sumatra has drawn many pros and cons from the public. This topic allows the public to provide criticism, suggestions and opinions regarding the 2024 North Sumatra Aceh PON. Instagram is a popular social media for conveying public opinion. The sentiment analysis process can find and resolve problems based on public opinion on social media such as Instagram. The classification method used in this research is the Naïve Bayes Classifier. Datasets can be obtained from the data crawling process using the Google Chrome extension: IGCommentExport. The data is labeled positive, neutral, or negative. The results of the labeling process showed 770 negative data, 256 neutral data and 920 positive data. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using TF-IDF. After that, modeling was carried out using the Naïve Bayes Classifier and the final process was evaluation-testing. The high accuracy results from the fourth experiment which compared 90% of the training data with 10% of the testing data resulted in an accuracy of 75%. Meanwhile, the sentiment test results show that positive sentiment is more numerous than negative sentiment and neutral sentiment.
Aplikasi e-Directory Berkas Tridharma Kinerja Dosen Limbong, Tonni; Hasugian, Abdul Halim
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 1 No. 2 Tahun 2016
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1467.102 KB) | DOI: 10.17605/jti.v1i2.35

Abstract

Pengurusan jabatan fungsional seorang dosen sesuai dengan peraturan pemerintah melalui dirjen dikti akan dilakukan minimal 1 (satu) kali dalam 3 (tiga) tahun, ini sangat memungkinkan berkas-berkas dari seorang dosen akan tercecer atau rusak bahkan hilang, dan menyebabkan kekurangan berkas padahal seorang dosen tersebut sudah melaksanakan tugasnya tapi berkasnya hilang ataupun rusak. Demikian juga bagi dosen yang sudah lulus sertifikasi memiliki kewajiban melaporkan pekerjaan nya setiap semester yakni pelaksanaan Tri Dharma Perguruan Tinggi untuk mendapatkan haknya yakni tunjangan sertifikasi dari negara. Aplikasi e-Directory berkas tridharma kinerja dosen dengan memanfaatkan fasilitas yang ada (Server) serta pengaruhnya terhadap kualitas layanan pemberkasan dosen dalam bentuk digital merupakan langkah penting yang harus dilakukan, sehingga dosen maupun pihak manajemen mendapat data / informasi yang cepat, tepat dan akurat.
Penentuan Kelas Unggulan Berbasis Decision Support System Dengan Metode Simple Additive Weighting (Saw) Zufria, Ilka; Hasugian, Abdul Halim; Simanjuntak, Salmah
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.114 KB) | DOI: 10.54367/means.v5i2.973

Abstract

MTs 2 state Medan Jl. Administrator No. 3 Medan Estate Complex is one of the school governments engaged in education. With the rapid development of technology that develops with the development of science and technology, we must prepare human resources who are able to compete excellently. In order for the formation of quality students, the superior class is a gap in efforts to improve the quality of education in Indonesia. To get quality students will not be separated from good religious knowledge, because if students do not have religious knowledge it will cause competent children to do things that are deviant, whereas in the hadith it has been stated that morals are higher in the placement of knowledge, then a student who does not there are morals then their knowledge will be in vain. This study is to see that to enter the superior class with several specified criteria, namely: Al-Quran test, IQ test, medical history, parent's income, Sem-Odd Value, Sem-Even Value. If these criteria are met, a student will be selected through the results of the ranking of each criterion. Because it takes too much time and the limited ability to see all aspects at one time that has been determined accurately, it causes several errors in decision making. Therefore, a decision support system for selecting a superior class is needed with the criteria determined by the MTs state 2 Medan school, by using the simple additive weighting method (SAW) which can help the school to determine superior class students quickly and accurately. By using the SAW method formula that is connected with each existing criterion to produce a decision in selecting the superior class student. Keywords: superior class, decision support system, SAW
Aplikasi e-Directory Berkas Tridharma Kinerja Dosen Limbong, Tonni; Hasugian, Abdul Halim
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 1 No. 2 Tahun 2016
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1467.102 KB) | DOI: 10.17605/jti.v1i2.35

Abstract

Pengurusan jabatan fungsional seorang dosen sesuai dengan peraturan pemerintah melalui dirjen dikti akan dilakukan minimal 1 (satu) kali dalam 3 (tiga) tahun, ini sangat memungkinkan berkas-berkas dari seorang dosen akan tercecer atau rusak bahkan hilang, dan menyebabkan kekurangan berkas padahal seorang dosen tersebut sudah melaksanakan tugasnya tapi berkasnya hilang ataupun rusak. Demikian juga bagi dosen yang sudah lulus sertifikasi memiliki kewajiban melaporkan pekerjaan nya setiap semester yakni pelaksanaan Tri Dharma Perguruan Tinggi untuk mendapatkan haknya yakni tunjangan sertifikasi dari negara. Aplikasi e-Directory berkas tridharma kinerja dosen dengan memanfaatkan fasilitas yang ada (Server) serta pengaruhnya terhadap kualitas layanan pemberkasan dosen dalam bentuk digital merupakan langkah penting yang harus dilakukan, sehingga dosen maupun pihak manajemen mendapat data / informasi yang cepat, tepat dan akurat.
K-Means clustering analysis of public satisfaction with 50% electricity tariff reduction Harahap, Muhammad Fitrah Affandi; Hasugian, Abdul Halim
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.418

Abstract

At the beginning of 2025, the Indonesian government implemented a policy to reduce electricity tariffs by 50% for household customers with power capacities of up to 2,200 VA. This policy aims to boost public purchasing power and stimulate economic growth, particularly among lower-middle-income groups. However, public responses to the policy have been varied and widely expressed on social media, especially on platform X (formerly known as Twitter). This study aims to evaluate public satisfaction with the electricity tariff reduction policy through sentiment analysis on social media X using the K-Means Clustering method. Data were collected through a crawling process using specific relevant keywords, followed by preprocessing steps such as cleansing, case folding, tokenizing, stemming, and conversion into numerical form using TF-IDF. The clustering results show that Cluster 1 dominates with 662 tweets (68.74%), predominantly reflecting positive sentiment, indicating that the majority of the public responded favorably to the 50% electricity tariff reduction policy. Cluster 2 consists of 165 tweets (17.13%) expressing negative sentiment, suggesting that some members of the public voiced concerns or dissatisfaction with the policy. Meanwhile, Cluster 0 includes 136 tweets (14.12%) containing neutral sentiment, representing moderate responses without a strong stance. These findings indicate that, overall, the policy received a generally positive reception from the public, although there are still critical and neutral perspectives.
Analisis Sentimen Ulasan Pelanggan Aplikasi Hokben Di Google Playstore Menggunakan Metode Support Vector Machine Ryo Vikri Alif; Hasugian, Abdul Halim
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1501

Abstract

Perkembangan teknologi informasi mendorong berbagai perusahaan untuk memberikan layanan digital yang praktis dan efisien. Salah satu bentuk layanan tersebut adalah aplikasi pemesanan makanan berbasis seluler seperti HokBen. Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi HokBen di Google Playstore menggunakan metode text mining dan algoritma klasifikasi Support Vector Machine (SVM). Data diperoleh melalui teknik web scraping dengan memanfaatkan perpustakaan google-play-scraper untuk mengumpulkan 1.500 komentar pengguna. Komentar yang dikumpulkan diproses melalui tahap prapemrosesan teks, yang mencakup pembersihan teks, normalisasi, tokenisasi, penghapusan kata henti, dan stemming. Setelah itu, data diberi label menggunakan metode VADER Lexicon menjadi dua kategori: positif dan negatif. Hasil pelabelan menunjukkan bahwa 835 komentar positif dan 651 negatif. Data kemudian diubah menjadi representasi numerik menggunakan metode TF-IDF (Term Frequency-Inverse Document Frequency) sebelum dimasukkan ke dalam model klasifikasi SVM. Proses evaluasi dilakukan dengan matriks kebingungan dan menghasilkan akurasi 76,85%, presisi 76,72%, recall 67,94%, dan skor F1 72,09%. Hasil ini menunjukkan bahwa model SVM cukup efektif dalam mengklasifikasikan opini pengguna tentang aplikasi HokBen. Penelitian ini dapat dijadikan dasar untuk mengevaluasi kinerja aplikasi berdasarkan ulasan pengguna dan membantu pengambilan keputusan dalam pengembangan layanan digital di masa mendatang.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Amri Yuda S Anggraini, Sindi Annisa Shafira Zuhri Armansyah Armansyah Armansyah Asrul Suwondo Azhar, Joehari Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Cindy Ananda Putri Dea Amallia Deni Fahrizal Dewi Afrianti Dina Afriani Dinda Zukhoiriyah Eferoni Ndururu Elsa Azila Rahman Fakhriza, M. Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Gunawan Gunawan Gunawan, Helmi Hanny Puput Eliyarista Saragih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hsb, Munawir Siddik Ibnu Rusydi Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Indah Alfitri Lubis Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Lubis, Akbar Maulana Lubis, Desy Ramadhani M Mahyudi M. Fakhriza M. Khalil Gibran M.Alif Fahrezy Maimunah Rahmadani Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd. Fakhrozi Arif Mhd. Furqan Mufliha Afiksih Muhammad Aditya Prasetio Muhammad Alfarizi Muhammad Arief Irawan Muhammad Ezar Raditya Muhammad Farhan Alhabib Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Mulya Alfan Simatupang Murdani Muthia Ramadhani Nadyah Almirah Simanjuntak Nasution, Yazid Hulaini Habbani Nasution, Yurika Nur Jamilah Aruan Nurmaiyah Nurmaiyah Ong, Russell Pahlevi, Mhd Rafly Syah Pazri Pebriani Putri Prayoga, M. Irsan Pristiwanto Putra, Donny Dwi Putri Hanifah Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Widyasari Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif Saefuddin, Anan Sela, Dhea Shania Oktawijaya Sheila Safira Siahaan, Ahmad Taufik Al Afkari Simanjuntak, Salmah Simatupang, Aidil Akbar Siregar, Muhammad Faisal Siregar, Nora Arianti Siti Hayatul Fauziah Ritonga Siti Juhroini Ritonga Siti Nurhaliza Sofyan Siti Sumita Harahap Sitorus, Ridha Saryani Situmorang, Rantouli Solifiah Batubara, Febi Sri Suci Yani Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi Sulindawaty T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wina Fadia Ardianti Windary, Wanda Wirna Rizka Auliani Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Zaidan, Muhammad Zidanul Akbar Ziqra Addilah Zul Attoriq Farhan Wahyudi