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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Komtika (Komputasi dan Informatika) Informatika Djtechno: Jurnal Teknologi Informasi AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Sistem Informasi Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Akademika Jurnal Komtika (Komputasi dan Informatika) JITCoS : Journal of Information Technology and Computer System
Niko Akbar
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Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Analisis Kelayakan Pengembangan Sistem Informasi Perpustakaan SMA/SMK Kota Jambi Berbasis Web: Studi Kasus: SMKN 6 Kota Jambi Putri Hazmawati; Edi Saputra; Muhammad Razi A; Niko Akbar; Muhammad Adfa Aditiya; Ari Prayitno
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1696

Abstract

To support secondary education, proper facilities, including a school library, are essential. The literature in the library must be well-managed to ensure user satisfaction and comfort. However, many school libraries still rely on traditional management methods, as seen in SMKN 6 Kota Jambi's Library. To ensure the successful development of a web-based library information system, a feasibility analysis is required. This analysis helps determine if the project should proceed. This study aims to evaluate the feasibility of the system from technical, economic, and organizational perspectives. Using a descriptive approach, the research collected qualitative data through observations, interviews, and document studies, with technique triangulation to ensure validity. The findings show that the library has adequate hardware, software, and network support for the system's development, with a technical feasibility score of 75.59. The economic analysis shows an ROI of 2.3, resulting in a score of 100, and the organizational feasibility score is 93.33. The overall feasibility average is 89.64, indicating that the project is feasible.
Klasifikasi Risiko Gempa Bumi menggunakan metode Decision Tree Akbar, Niko; Alghifari, Hamzah; Abdillah, Nurul; Dahwanu, Oki
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7843

Abstract

Gempa bumi merupakan salah satu bencana alam yang sulit diprediksi namun memiliki dampak besar terhadap kehidupan manusia. Oleh karena itu, diperlukan suatu pendekatan analitis yang mampu mengidentifikasi pola dan hubungan antarparameter gempa untuk mendukung sistem peringatan dini. Penelitian ini bertujuan untuk melakukan Klasifikasi Dampak akan kejadian gempa bumi menggunakan metode Data Mining berbasis Decision Tree. Data yang digunakan berasal dari katalog gempa yang memuat atribut seperti Tanggal Kejadian (timestamp), magnitudo, kedalaman, serta koordinat lokasi (latitude dan longitude). Proses analisis meliputi tahap pembersihan data (data cleaning), transformasi, dan pembuatan model klasifikasi Decision Tree untuk menentukan tingkat potensi dan dampak gempa serta mengetahui keakuratan gempa bumi berdasarkan data dari tahun ketahun. Hasil penelitian menunjukkan bahwa atribut magnitudo memiliki pengaruh signifikan terhadap tingkat risiko gempa. Model Decision Tree yang dibangun mampu menghasilkan aturan klasifikasi seperti “Jika magnitudo <5 maka berpotensi Risiko gempa bumi rendah, sedangkan magnitudo antara 5-7 berisiko gempa bumi sedang, dan magnitudo ≥ 7 maka berpotensi Risiko Gempa Bumi Tinggi”, yang dapat digunakan untuk mendukung pengambilan keputusan dalam mitigasi bencana. Dengan demikian, metode Decision Tree terbukti efektif dalam mengungkap pola tersembunyi dari data gempa bumi dan dapat menjadi dasar bagi sistem prediksi serta peringatan dini gempa di masa mendatang. Disimpulkan bahwa akurasi masing – masing sebesar 100 %, sedangkan recall sebesar 100 % tapi hasil precision menunjukkan statistik yang berbeda yakni Prediksi Tidak Berpotensi Gempa Bumi  Besar sebesar 100%, sedangkan Prediksi Tidak berpotensi Gempa Bumi sedang sebesar 99,67%, dan terakhir prediksi Tidak berpotensi Gempa Bumi Kecil sebesar 96 %. Hasil pengujian ternyata menghasilkan magnitude rendah dengan ukuran >5,350 tergolong rendah, sedangkan magnitude rendah dengan ukuran <5,350 mempunyai frekuensi yang banyak. Dan Beberapa data berdasarkan statistik Magnitudo >5.350 ukuran sedang dari data sebanyak 16 data. Sedangkan magnitudo ≤ 5.350 Ukuran Rendah sebanyak 6716 Data yang ditemukan dan sudah dianalisis.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PEMASARAN PERUMAHAN BERBASIS WEB MENGGUNAKAN METODE PROTOTYPE PADA PT LESTARI INTI PROPERTI JAMBI: Marketing Information System, Web-Based Application, Prototype Method, Unified Modeling Language, Subsidized Housing Alghifari, Hamzah; Akbar, Niko; Abdillah, Nurul; Dahwanu, Oki
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/6psph742

Abstract

Due to its manual reliance on conventional promotional techniques such as distributing flyers and posters, PT Lestari Inti Properti faces challenges in selling subsidized housing products. In the digital era, this situation limits promotional reach and reduces marketing effectiveness. The goal of this project is to create a web-based marketing information system that can manage the company's sales and administration data in an integrated manner and function as a digital promotional tool. Using the Unified Modeling Language (UML) methodology, prototyping techniques are applied through the phases of rapid design, testing and feedback, prototyping, and requirements communication. The result of this study is the design of a prototype housing marketing information system that includes a login module, housing data management, ordering procedures, and transaction reports. Use case structures, activity diagrams, and class diagrams are used in the design of this system to fully explain how users interact with business operations. This system can increase marketing reach, speed up administrative procedures, and reduce data input errors, according to the design results. Therefore, PT Lestari Inti Properti can improve operational effectiveness and competitiveness in the digital market by using a web-based marketing information system.
Image Classification Based On Color Using Thresholding Method Selian, Teguh Agara; Akbar, Niko; Hidayat, M. Irfan
JITCoS : Journal of Information Technology and Computer System Vol. 1 No. 1 (2025): Volume 1 Number 1, June 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v1i1.5

Abstract

This research aims to categorize images based on color using the method of thresholding. Image classification based on color plays a crucial role in various applications such as object detection, traffic monitoring, and medical image processing. The thresholding method is a popular approach used in image segmentation due to its effectiveness and computational efficiency. In this method, grayscale images are converted into binary images by determining a specific threshold value. This research utilizes the thresholding method to separate pixels based on their color intensity. The research methodology consists of several steps, including dataset collection, image pre-processing, color feature extraction, application of the thresholding method, and class labeling. The study's benefits include object recognition, cost and time reduction in image classification, and improved product quality and income for farmers.
PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI POLA IKLIM STUDI KASUS: PROVINSI JAMBI PERIODE 2020-2024 Anzari, Yandi; Puriza, M. Yonggi; Akbar, Niko; Abdillah, Nurul; Dahwanu, Oki; Syawal, Elsi Alfionita
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.7994

Abstract

Penelitian ini menerapkan algoritma K‑Means untuk mengidentifikasi pola iklim dominan di Provinsi Jambi pada periode Januari 2020 sampai Desember 2024. Dataset bulanan berjumlah 60 observasi yang memuat enam variabel meteorologi: curah hujan, suhu rata‑rata, suhu maksimum, suhu minimum, kecepatan angin, dan kelembaban relatif. Data diagregasi dari data harian menjadi bulanan dan dipra‑proses dengan standardisasi Z‑Score untuk mengatasi heterogenitas skala antar fitur. Penentuan jumlah klaster optimal dilakukan secara kuantitatif menggunakan Elbow Method berdasarkan nilai inersia, yang menunjukkan titik belok pada k=3. Model K‑Means diinisialisasi secara acak dan dijalankan dengan beberapa pengulangan untuk menilai stabilitas hasil; keluaran divisualisasikan dalam proyeksi 2D dan 3D untuk memudahkan interpretasi spasial. Analisis centroid mengidentifikasi tiga rezim iklim: rezim kering/transisi (curah hujan rendah dan suhu relatif tinggi), rezim monsonal normal (curah hujan menengah‑tinggi dan kelembaban tinggi), serta rezim basah ekstrem (curah hujan sangat tinggi dan kelembaban tinggi). Hasil ini menyediakan tipologi iklim berbasis data yang relevan untuk perencanaan pertanian, mitigasi bencana hidrometeorologi, dan kebijakan adaptasi iklim di tingkat provinsi.
Co-Authors Adfa Aditiya Alghifari, Hamzah Ari Prayitno Bayu Putra Sanjaya Edi Saputra Elsi Alfionita Syawal Hidayat, M. Irfan Hilmiyati, Fitri Joni Devitra, Joni M. Ari Prayitno M. Yonggi Puriza Muhammad Adfa Aditiya Muhammad Razi A Nurul Abdillah Oki Dahwanu Putra Sanjaya, Bayu Putri Hazmawati Riyanti Riyanti Selian, Teguh Agara Sutoyo, Mochammad Arief Hermawan Yandi Anzari