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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) JOURNAL V-TECH (VISION TECHNOLOGY) Jurnal Manajemen Informatika Jurnal Teknologi Informasi dan Multimedia Media Informatika Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Unama Jurnal Informatika Dan Tekonologi Komputer
Ibnu Sani Wijaya
Universitas Dinamika Bangsa, Jambi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Other

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SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN JURUSAN PADA BEASISWA PADA SMA NEGERI 11 MUARO JAMBI Khairuldi; Ibnu Sani Wijaya; Mitra Wijaya
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.155

Abstract

Menentukan Proses seleksi penerima beasiswa berdasarkan jurusan sebagian sekolah masih ada yang kurang tepat dalam memberikan keputusan karena masih dilakukan secara manual, sama hal seperti pada SMAN 11 Muaro Jambi yang mana menerimaan beasiswa berdasarkan jurusan yang diambil yaitu diproleh dengan cara menghitung hasil test dan hasil nilai laport yang kumpulkan, lalu diamati untuk dipilah dipilih siapa yang layak untuk diterima, kemudian dibuat laporan, ditempel pada papan pengumuman. Dengan menggunakan cara tersebut diatas menjadi masalah dalam mengambil keputusan siapa saja yang dinyatakan berhasil mendapatkan beasiswa berdasarkan jurusan memenuhi kreteria yang sesungguhnya. Metode Profile Matching adalah Metode yang digunakan dalam perhitungan yang dilakukan dengan Pembobotan dan GAP. Dengan menggunakan metode Profil Matching maka calon kandidat yang memiliki gap lebih kecil maka nilai bobotnya akan semakin besar disamping itu dengan menggunakan metode Profile Matching dapat mempertimbangkan konsistensi yang logis dalam penilaian yang digunakan untuk menentukan prioritas sehingga menghasilkan keputusan yang tepat sesuai yang diharapkan. Setelah selesai melakuan hasil analisa data, lalu data-data tersebutkan diiputkan kedalam sebauh apilikasi yang dirancang menggunakan bahasa pemrogram PHP dan Database MySql dengan harapan hasil penelitian ini dapat mempermudah, membantu dalam menghasilkan informasi secara transparan.
Aplikasi Edukasi Pengenalan Bahasa Arab Berbasis Augmented Reality Studi Kasus : Madrasah Ardhal-Haq Ibnu Sani Wijaya; Gilang Ramadhan; Masgo Masgo
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.523

Abstract

The field of education is witnessing rapid developments in information technology, with aug-mented reality (AR) emerging as a promising tool for multi-media learning, including Arabic language recognition. Among the Semitic language families, Arabic has the largest number of speakers. Arabic is the sentence that Arabs use to express their intentions and purposes. The form is in the form of hijaiyah letters that are used by Arabs for oral and written social interaction and communication. Madrasah diniyah takmiliyah ardal-haq is located on the main road of pematang moss, betara sub-district, West Tan-jung Jabung district, Jambi Province as one of the elementary schools, at the Ardhal-haq Madrasah, the way of delivering learning is still using simple methods, using books that do not have pictures. it is known that in general students and female students feel bored with Arabic language teaching offered by educational institutions, because students face challenges in understanding written language, including phonetics and syntax. The author chooses to use the MDLC (Multimedia Development Life Cycle) method to conduct research by creating Augmented Reality-based educational applications for Arabic language teaching. This method can be applied to system development in multimedia applications and its stages can be changed based on the research needs, which is why the author used it for system development. The purpose of this research is to facilitate the mastery of Arabic language by students and support instructors of Ardhal-Haq Madrasah in their classroom teaching. With this research produces an Augmented Reality-based Arabic language introduction educational application.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEB : STUDI KASUS : SMP NOMMENSEN KOTA JAMBI Rubentus Hutapea; Ibnu Sani Wijaya; Roby Setiawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 1 (2021): Maret : Jurnal Informatika dan Teknologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i1.222

Abstract

SMP Nommensen Jambi City is one of the schools in Jambi City which is located on Jalan Barau-Barau 1 Pakuan Baru, South Jambi District, Jambi City. Currently Nommensen Junior High School in Jambi City is equipped with academic facilities, but has problems such as data processing which is still done conventionally which often results in errors in inputting academic data. The author plans to design a special website to solve problems at SMP Nommensen Jambi City by using PHP as an interface and MySQL as a storage database. The author will build a system that will be made using the waterfall method and using the UML system modeling. Then the system can produce output that is able to display admin data, teachers, students, classes, academic years, subjects, lesson schedules, announcements, and grades and is expected to make it easier to make reports so that administration and teachers can process academic data easily and help students obtain accurate and precise information.
Perancangan Aplikasi Rekam Medis Pada Puskesmas Muara Kumpeh Berbasis Web Adi aprianto; Ibnu Sani Wijaya; Hendri
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2361

Abstract

Muara Kumpeh Health Center is a government-owned health institution that aims to provide health services in the sub-district area at a cost that is affordable for the community. At Muara Kumpeh Health Center, the process of recording medical records is still carried out by recording them in an agenda book. Other weaknesses of the manual system are the potential risk of data loss or damage, as well as slower accessibility. The purpose of this study is to analyze weaknesses in the patient medical record recording system at Muara Kumpeh Health Center and to design a web-based application to automate the registration, examination, and management of patient medical records. This study uses the waterfall development method, which is a linear and sequential system development approach. This study also adopts the Unified Modeling Language (UML) model approach. The results of this study are in the form of a web application designed to make it easier for admins to manage medical record data. This application has features that allow officers to register new patients, change registration data, and view a list of patients who have registered. In addition, this application also provides benefits for patients, namely facilitating the treatment process, allowing access to medical history, and providing complete and accurate medical documents.
Perbandingan SVM Dan Naive Bayes Pada Analisis Sentimen MBG Di Platfrom Tiktok Dan Instagram: Comparison of SVM and Naive Bayes in MBG Sentiment Analysis on TikTok and Instagram Platforms Zahra Prisdian Tiararosa; Ibnu Sani Wijaya; Eni Rohaini
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2750

Abstract

The rapid growth of social media has made platforms such as TikTok and Instagram primary channels for the public to express opinions on various public issues, including the Free Nutritious Meal Program (MBG). The large volume of user-generated comments makes manual analysis inefficient, thereby requiring sentiment analysis approaches based on machine learning. This study aims to analyze public sentiment toward the MBG program and to compare the performance of Support Vector Machine (SVM) and Naive Bayes (NB) methods in classifying sentiments into positive, negative, and neutral categories. The dataset consists of 6,001 comments collected from TikTok and Instagram through a web scraping process using Apify and Python. The research stages include data collection, text preprocessing, feature extraction, model training, and evaluation using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results of this study are expected to provide a comparison of the performance of SVM and Naive Bayes algorithms as well as an overview of public opinion trends regarding the MBG program on social media.
Co-Authors Abdul Haris Adi aprianto agus Nugroho Agus Nugroho Agus Setiawan Sholeh Agus Siswanto Agus Siswanto Ali Sadikin Andre Theo Asri Suryo Widi Benniardi Benniardi Benny Purnama Dodi Sandra Dodi Sandra Dodi Sandra Dony Fitra Eddy Suratno Eddy Suratno Eko Arip Winanto Elvi Yanit ENDRI ENDRI Gilang Ramadhan Hendri Hendri Hetty Rohayani Irawan Irawan Irvando Irvando Jasmir Khairuldi Khairuldi Khairuldi Kurniabudi, Kurniabudi M.Riza Pahlevi MARIA BINTANG Marrylinteri Istoningtias Masgo Masgo Mayang Ruza Mitra Wijaya Mourren Yang, Louis Muhammad Rivai MULYADI Nurisa Rindiani Pareza Alam Jusia Purnama, Benni Putra Ramadhan, Muhammad Alif Renaldi Yulvianda ROBY SETIAWAN Rohaini, Eni Rubentus Hutapea Setiawan Assegaf Sharipuddin, Sharipuddin Steven, Ferry The, Elizabeth Xaverius Sika Yudi Novianto Yulia Arvita Zahra Prisdian Tiararosa Zulwaqar Zain Mohtar