Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Informatika DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Manajemen Sistem Informasi Akademika
Dahwanu, Oki
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Library & Information Science Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Analisis dan Perancangan Jaringan Saraf Tiruan untuk Mengidentifikasi Tingkat Kematangan Buah Belimbing Manis (Averrhoa carambola L.) Dahwanu, Oki; Sarjono, Sarjono
Jurnal Manajemen Sistem Informasi Vol 4 No 1 (2019): JURNAL MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Starfruit is one of the fruits that are widely cultivated in Indonesia. But at this time sorting of starfruit is stilldone manually by humans, consequently resulting in a uniform level of maturity that is not good. For thisreason, a system is needed that can identify the level of maturity of starfruit with artificial neural networks.The main problem of designing artificial neural networks is how to analyze and design an artificial neuralnetwork architecture in order to determine the maturity level of sweet starfruit properly. This study aims todesign artificial neural networks with backpropagation method to identify the maturity level of starfruit.From the results of the study, the best configuring of backpropagation artificial neural network model is amodel of artificial neural networks with 3 inputs, 11 hidden layer neurons and 3 outputs (3-11-3). With thisconfiguration, artificial neural networks are able to identify the level of maturity with a success rate of 95.8%of 48 starfruit test data.
Perancangan Sistem Informasi Promosi dan Penjualan Berbasis Web Pada Unit Produksi SMKN 1 Ampek Angkek Menggunakan Framework CodeIgniter Abdillah, Nurul; Dahwanu, Oki; Alghifari, Hamzah; Akbar, Niko
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.8165

Abstract

The Production Unit (PU) plays an important role in fostering students’ entrepreneurial skills through the creation of economically valuable products and services. However, product promotion at the Production Unit of SMK N 1 Ampek Angkek has so far only been carried out through exhibitions held once every semester. The school’s less strategic location results in many products remaining unsold, and those stored for too long often become damaged. To address this issue, a web-based promotional and sales information system was designed using the CodeIgniter framework. The system was developed using UML (Unified Modeling Language) modeling with an object-oriented approach. The programming languages used were PHP with the CodeIgniter framework and JavaScript, while MySQL served as the database and Sublime Text 3 as the code editor. The result of this design is a web-based information system that can present craft product information more widely and efficiently. This system helps the Production Unit promote its products without time and location limitations and provides convenience for consumers to view and purchase products online.
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.
Co-Authors Akbar, Niko Alghifari, Hamzah Nurul Abdillah Sarjono Sarjono, Sarjono