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All Journal Format : Jurnal Imiah Teknik Informatika Jurnal Ilmiah FIFO JURNAL PENDIDIKAN TAMBUSAI JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science International Journal of Engineering, Science and Information Technology Bulletin of Data Science Batara Wisnu : Indonesian Journal of Community Services Journal of Computing and Informatics Research Jurnal Ilmiah Informatika dan Ilmu Komputer Journal Of Technology and Information System (J-TIS) IPSIKOM
Sah, Andrian
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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PENERAPAN METODE WATERFALL DALAM PENGEMBANGAN SISTEM INFORMASI E-LEARNING (Studi Kasus : SMP NEGERI 5 JAYAPURA) Robo, Salahudin; Sah, Andrian; Sidarmawan, Andri Tri
JSAI (Journal Scientific and Applied Informatics) Vol 4, No 2 (2021): Juni 2021
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v4i2.1618

Abstract

Permasalahan yang terjadi di SMP Negeri 5 Jayapura adalah selama ini proses pembelajaran antara guru dan siswa sangat terbatas. Proses pembelajaran berlangsung dari hari Senin sampai dengan Jumat. Tiap harinya terdapat 3 sampai 4 mata pelajaran yang diajarkan dan untuk satu mata pelajaran hanya berkisar 1 sampai 2 jam. Akibat hal ini interaksi antara guru dan siswa menjadi kurang interaktif, siswa tidak memiliki banyak waktu dalam mengerjakan soal dan mendalami materi yang diberikan. Sehingga jika terjadi kendala, seperti siswa kurang paham mengenai materi pelajaran, akan kesulitan jika ingin mengulangi materi dan bertanya kepada guru yang bersangkutan secara langsung.Siswa juga tidak mendapatkan materi pelajaran dan tugas apabila guru berhalangan hadir, ini menyebabkan penyampaian materi pelajaran menjadi terhambat. Siswa hanya mendapatkan materi pelajaran dari guru maupun referensi buku di perpustakaan sekolah, sehingga terjadi keterbatasan tempat dan waktu untuk mengaksesnya. E- learning dapat digunakan sebagai alternatif atas permasalahan dalam bidang pendidikan, baik sebagai tambahan, pelengkap maupun pengganti atas kegiatan pembelajaran yang sudah ada.Dilihat dari kenyataan tersebut, diperlukan suatu sarana penunjang yang mampu meningkatkan efektivitas dan efisiensi sistem mengajar di SMP Negeri 5 Jayapura dalam meningkatkan pembelajaran siswa
Sistem Informasi Manajemen Pengelolaan Nilai Siswa pada SMK Hikmah Yapis Jayapura Nurhayati, Siti; Suharto, Emilda; Tonggiroh, Mursalim; Sah, Andrian
Journal Of Technology and Information System (J-TIS) Vol 1 No 1 (2022): Juli 2022
Publisher : Program Studi Sistem Informasi, Universitas Yapis Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70129/jtis.v1i1.236

Abstract

Pengolahan nilai siswa, seperti nilai harian, nilai penilaian tengah semester (PTS) dan nilai Penilaian Akhir Semester (PAS) pada SMK Hikmah masih menggunakan aplikasi Microsoft Excel yang memiliki kekurangan, yakni terformatnya setiap kolom ataupun baris yang ada akan menyebabkan penggabungan nilai dari penambahan materi jika struktur kurikulum berganti, belum terintegrasi dari guru ke guru lainnya membuat pemberian informasi nilai masih menggunakan flash disk sehingga waktu yang dibutuhkan untuk mengolah nilai cukup lama, presensi siswa masih menggunakan buku presensi, aplikasi tidak menyediakan proses pengolahan nilai harian. Maka diperlukan sebuah sistem informasi manajemen nilai siswa yang dapat mengolah semua nilai siswa dengan mengintegrasikan setiap alur pada proses pengolahan nilai siswa. Adapun metode yang digunakan untuk menganalisis permasalahan serta memberikan solusi dari permasalahan tersebut adalah metode PIECES, metode perancangan yang digunakan adalah UML. Dari penelitian ini dihasilkan Sistem Informasi Manajemen Pengelolaan Nilai Siswa yang mengintegrasikan nilai antar guru sehingga dapat mengefektifkan waktu dalam mengolah nilai siswa.
Sistem Informasi Pas Lintas Batas (Studi Kasus : Pos Lintas Batas Tradisional Hamadi) Sukriyan, Mohamad Maulidin; Sah, Andrian
Journal Of Technology and Information System (J-TIS) Vol 1 No 1 (2022): Juli 2022
Publisher : Program Studi Sistem Informasi, Universitas Yapis Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70129/jtis.v1i1.237

Abstract

Pegawai Imigrasi atau petugas Imigrasi yang bertugas di Pos Lintas Batas Negara maupun Tradisional merupakan pegawai Imigrasi dibawah SubSeksi Pemeriksa Keimigrasian dan dibawah Seksi Lalulintas Keimigrasian pada Unit kerja Kantor Imigrasi di daerah tersebut,salah satu tugasnya yaitu melaporkan data perlintasan orang yang keluar maupun masuk melalui Pos Lintas Batas. Pada tugas akhir ini, peneliti mencoba untuk menganalis pokok-pokok permasalahan yang ada, dan mencoba memberikan panduan kepada petugas di pos untuk dapat memulai mengembangkan sistem informasi perlintasan yang ada menggunakan metode perancangan UML dan menggunakan metode pengembangan waterfall. Aplikasi yang dihasilkan berupa aplikasi web “Sistem Informasi Pas Lintas Batas”, yang ditujukan untuk memberikan kemudahan bagi petugas yang bertugas di pos untuk mengelola data perlintasan dan mempermudah dalam membuat laporan perlintasan yang ada. Disamping itu peneliti juga menganjurkan agar kedepanya bisa mengembangkan aplikasi yang penulis buat saat ini.
SISTEM INFORMASI CUTI PEGAWAI (STUDI KASUS : KANTOR SEKRETARIAT DPRD KOTA JAYAPURA) Putra, Andika; Sah, Andrian; Ponto, Sahrul
Journal Of Technology and Information System (J-TIS) Vol 1 No 1 (2022): Juli 2022
Publisher : Program Studi Sistem Informasi, Universitas Yapis Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70129/jtis.v1i1.239

Abstract

Sekretariat Dewan Perkawilan Rakyat Daerah Kota Jayapura dipimpin oleh seorang Sekretaris Dewan yang secara teknis operasional berada dibawah dan bertanggung jawab kepada Pimpinan DPRD dan secara administratif bertanggung jawab kepada Walikota melalui Sekretaris Daerah. Dalam proses pengajuan cuti masih dinilai belum efektif, karena semua pemrosesan data khususnya pada bagian kepegawaian masih dilakukan secara manual dimana dalam proses pengajuan cuti masih menggunakan kertas, sehingga sering kali menghadapi permasalahan dalam kegiatan operasionalnya. Penelitian ini menghasilkan Sistem Informasi cuti Pegawai Pada Kantor Sekretariat DPRD Kota Jayapura yang menggunakan metode analisis PIECES, melakukan perancangan menggunakan metode Unified Modelling Language (UML), menggunakan metode pengembangan Waterfall dan metode pengujian Black Box.
Pattern Recognition of Chinese Characters Using the Sokal Sneath Four Method Rasna, Rasna; Sah, Andrian; Nur Hidayat, M. Ali; Jusmawati, Jusmawati; Tonggiroh, Mursalim
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.668

Abstract

Pattern recognition is a discipline that aims to classify or describe objects based on their characteristics, quantitative measurements, or critical properties. Where a pattern is defined as an entity that is initially undefined, it can be identified and named through quantitative analysis. Pattern recognition can be applied to various fields, such as handwriting recognition, face recognition, eye recognition, skin, and image processing. One example of the application of pattern recognition is character recognition in letters used in learning. In this research, the digital image used as input comes from a two-dimensional image obtained through a digital camera. The digital image describes the light intensity in light and dark areas in the form of pixels and provides information about the object's color. To support the process of recognizing alphabet letters, which in this case are specifically Chinese alphabet letters, it will be assisted by using the Sokal Sneath Four Method. This significant mathematical approach helps create a compatible and accurate system for recognizing letter patterns through intensive data training. This method involves a series of steps, including data preprocessing, feature extraction, and classification, to train the system to recognize Chinese characters. The more training given to the system, the higher its accuracy in recognizing letter patterns, especially Chinese alphabet letters. The test results show that this Chinese alphabet letter pattern recognition system has a success rate of 65%, with a failure rate of 35%. Nevertheless, these results show room for further improvement in the algorithms used and the addition of training data to improve system performance and accuracy.
Building a Web Crawler for Text Data Indexing on Online Newspaper Web Hakim, Jamaludin; Sah, Andrian; Nurhayati, Siti; Ciptaningrum, Wahyu; Suryo Sasono, Damar
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.677

Abstract

The Internet has become a vast repository of information, often filled with distractions that can hinder the user experience. News content, for example, is usually interspersed with advertisements that interrupt the flow of reading. In addition, the fast pace of news publication is also a challenge, with potentially more than 50 new articles appearing in 20 minutes. This high-speed data flow is valuable for various applications, including Social Media Analytics Services. In this context, the speed and efficiency of data acquisition (crawling) and processing (scraping) are critical. These processes must be optimized to ensure comprehensive data collection without gaps, focusing on the latest information. To meet this need, we propose developing an application capable of capturing news data in its entirety, minimizing the risk of missing important information. At the core of this solution is a web crawler- a sophisticated program designed to automatically browse the hyperlink structure of the web, systematically downloading linked pages to local storage. This crawling methodology is often the basis for web mining initiatives and search engine development. Since web information is distributed across billions of pages hosted on millions of servers worldwide, our application utilizes the PHP programming language to capture and process this data effectively. The main goal is to present pure news content to users without any irrelevant elements. We use a Data Flow Diagram (DFD) to model the system architecture and data flow. This approach provides a clear visualization of how web users can navigate through hyperlinks to efficiently access the desired news information. By implementing this system, we aim to improve the user experience of consuming news content, facilitate more effective data analysis, and contribute to the broader web information search and processing field.
Heigh Detection System Using Russel and Rao Method Hakim, Jamaludin; Tonggiroh, Mursalim; Nurhayati, Siti; Nur Hidayat, M. Ali; Sah, Andrian
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.671

Abstract

Height detection is an exciting area of research with broad applications in fields such as construction, healthcare, and robotics, where measurements are still often done manually. This research aims to automate the height calculation process by developing a height detection system using image processing techniques, which offers improved accuracy and efficiency. The system that will be built works by capturing images of objects through a webcam and using the Russel Rao cluster analysis method to calculate height later. Borland Delphi 07 was chosen as the programming language because of its ability to handle image-processing tasks. This research draws on a thorough literature review of various books and articles, with the system operating in stages, starting with converting images to grayscale to simplify the data for more accessible analysis and then followed by applying Russel Rao's method for height measurement. However, the system is sensitive to environmental factors around the object. The system will perform best when there are no other objects near the target because when there are other objects nearby, it can cause the measurement line to shift and interfere with the results. The detection system requires a controlled environment with no foreign objects nearby for optimal performance. Despite these limitations, Russel Rao's analysis method achieved an accurate detection accuracy of approximately 65%, with three out of eight sample tests yielding correct measurements. While this shows room for improvement if more relevant research is to be done in the future, this system will build a strong foundation for further development in this field. Future enhancements could focus on refining the algorithm to increase detection accuracy, make the system more resilient in dynamic or cluttered environments, and expand its potential applications in various fields.
Application of Hashing Method in Medical Term Dictionary Application Irjii Matdoan, Moh. Rahmat; Rasna, Rasna; M Saleh, Sahlan; Sah, Andrian; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.662

Abstract

The number of words or terms that appear and are used in human life makes it difficult for a person to master all of these words. To overcome this, these words or/terms are compiled in a dictionary, one of which is a dictionary of medical terms. This research aims to create software that can perform its function as a medical terminology dictionary program and implement the Hash method into software that can be used for data search. This research applies the hash method to find the hash value using a rolling hash. The hash method uses input text to be transformed into numbers, thus speeding up the computational process. The application of the hash method in the addressing/storage process in the Database is very efficient in terms of time and place. The output appears in the form of word meaning and hash value. The hash value is raised to know the value of the searched term using the rolling hash formula. With this research, it is hoped that searching for the meaning of medical terms in a computerized manner can be consistent with manual searches.
Pengembangan Sistem Pendukung Keputusan Menggunakan Pendekatan PIPRECIA-S dan ARAS untuk Pemilihan Wireless Repeater Sah, Andrian; Tanniewa, Adam M.
Bulletin of Data Science Vol 4 No 1 (2024): October 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v4i1.6368

Abstract

A wireless repeater is one of the solutions to extend signal range and reduce dead spot areas. However, selecting the right device often poses challenges for users due to the variety of products available in the market, each with differing specifications, performance, and prices. This study aims to develop a decision support system (DSS) based on the PIPRECIA-S and Additive Ratio Assessment (ARAS) methods. The PIPRECIA-S method is used to determine criterion weights in a structured manner, while the ARAS method evaluates alternatives based on their relative utility. The study resulted in a web-based application designed to enable users to access and manage data anytime and anywhere. A case study demonstrated that TP-Link TL-WA850RE (A4) ranked first with a score of 0.9395, followed by Prolink N300 (A3) with a score of 0.8571, Mercusys MW300RE (A1) with a score of 0.7770, and Tenda A9 (A2) in the last position with a score of 0.7141. The system's calculation results were consistent with manual calculations, proving the system's reliability and validity in providing recommendations. System testing using the black-box testing method showed that all features functioned as specified, including data management, input evaluation, and alternative ranking calculations. This study contributes a systematic solution to assist users in selecting the most suitable wireless repeater for their needs, while also enhancing efficiency in the multi-criteria decision-making process.
Pengembangan Model Prediksi Diabetes Melitus Menggunakan Metode Stochastic Gradient Boosting Sah, Andrian; Niesa, Chaeroen; Damuri, Amat; Hasma, Nur Amalia
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.i1.002

Abstract

Diabetes mellitus is one of the global health issues with a continuously increasing prevalence. Its high prevalence significantly impacts economic burdens and healthcare systems, as it often leads to severe complications such as cardiovascular diseases and kidney failure. Therefore, early prediction and detection of diabetes mellitus are crucial in mitigating its adverse effects. Data mining and machine learning technologies offer innovative solutions for processing complex medical data, providing deeper insights, and supporting data-driven decision-making. This study aims to develop a diabetes mellitus prediction model using the Stochastic Gradient Boosting (SGB) algorithm. The model utilizes a dataset comprising clinical variables such as glucose levels, blood pressure, body mass index (BMI), and genetic history to identify diabetes risk. The results indicate that the developed prediction model demonstrates high performance across various dataset splitting ratios: 70:30, 80:20, and 90:10. The model achieved the highest accuracy of 95.50% at the 70:30 ratio, with an AUC (Area Under the Curve) value of 0.9862, showcasing its ability to effectively differentiate between positive (diabetes) and negative (non-diabetes) classes. At the 80:20 and 90:10 ratios, the model achieved accuracies of 92.75% and 92.31%, with AUC values of 0.9767 and 0.9777, respectively, indicating consistent performance. The model’s high accuracy is attributed to the iterative boosting approach in the SGB algorithm, which adaptively corrects prediction errors at each iteration. Additionally, regulatory mechanisms such as learning rate and subsampling help prevent overfitting, making the algorithm effective for datasets with complex patterns.
Co-Authors Alexander, Allan D Andika Putra Ciptaningrum, Wahyu Damuri, Amat Hakim, Jamaludin Hasma, Nur Amalia Heriyani, Nofitri Irjii Matdoan, Moh. Rahmat Jafar Rumandan, Rhaishudin Jafar, Rhaishudin Rumandan Jusmawati Jusmawati, Jusmawati Lamsir, Seno Lasiyono, M. Munawir M. Ari Prayogo Muhammad Muharrom Mulyadi Mulyadi Niesa, Chaeroen Nur Hidayat, M. Ali Rasna, Rasna Robi Kurniawan Robo, Salahudin Sahlan M Saleh Sahrul Ponto Septilia, Tiara Indah Septyana Prasetianingrum Sidarmawan, Andri Tri Siti Nurhayati Suharto, Emilda Sukriyan, Mohamad Maulidin Suryo Sasono, Damar Tanniewa, Adam M Tanniewa, Adam M. Tonggiroh, Mursalim Widiyantoro, Muh. Riandi Widiyantoro, Riandi