cover
Contact Name
Hisbulloh Ahlis Munawi
Contact Email
noe@unpkdr.ac.id
Phone
+6285649676989
Journal Mail Official
noe@unpkdr.ac.id
Editorial Address
Jl. KH. Achmad Dahlan No. 76 Mojoroto - Kota Kediri 64112.
Location
Kota kediri,
Jawa timur
INDONESIA
Nusantara of Engineering (NOE)
ISSN : 23556684     EISSN : 27766640     DOI : https://doi.org/10.29407/noe.vxix
This journal discusses the latest trends in computer science that fields information systems, data mining, software engineering, computer networks, artificial intelligence, geographic Information system, Decision support system, multimedia, and others relevant to computer science, information system, informatics and Electrical Engineering.
Articles 191 Documents
Game Edukasi Pengenalan Gamelan Jawa Sebagai Media Pembelajaran Arie Putra, Zamima Daffa Rizki; Irawan, Rony Heri; Mahdiyah, Umi
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.20891

Abstract

Perkembangan teknologi informasi diberbagai bidang membuat siapa saja dapat dengan mudah untuk mengakses informasi. Perkembangan teknologi yang diminati dikalangan anak-anak dan orang dewasa salah satunya adalah game. Game yang awalnya hanya untuk bersenang-senang, sekarang bisa dibuat untuk media pembelajaran yang menarik dan interaktif. Dalam dunia Pendidikan kemajuan teknologi juga semakin berkembang, misalnya dalam media pembelajaran. Pemanfaatan teknologi informasi di bidang pendidikan dapat memberikan solusi dan mempermudah dalam proses pembelajaran, contohnya seperti game edukasi. bahkan game yang akan peneliti rancang sekarang. Pembuatan game tidak hanya ditujukan sebagai sarana hiburan, tetapi juga untuk sarana pembelajaran. Dari permasalahan yang ada, peneliti tertarik untuk merancang game edukasi pengenalan gamelan jawa sebagai media pembelajaran digital yang baik dan menarik. Hasil penelitian yang dilakukan berupa game edukasi “Pengenalan Gamelan Jawa”, didalam game tersebut akan membahas tentang pengenalan gamelan jawa. Hasil uji coba Blackbox pada game “Pengenalan Gamelan Jawa” semua berjalan lancar, mulai dari fungsi tombol dan gameplay.
Penggunaan Formula Haversine Pada Sistem Monitoring Pengiriman Produk Marketplace Sikmajo Cahyono, Vina Anggraini Puspita Sari; Agus Sifaunajah
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.21111

Abstract

Penggunaan teknologi peta digital kini sudah marak digunakan dalam dunia marketing, terutama pada proses pengiriman produknya. Marketplace Sikmajo merupakan sebuah platform penjualan yang didesain untuk komunitas IKM Jombang. Marketplace ini masih memerlukan adanya fitur perhitungan jarak untuk monitoring pengiriman produk. Maka dari itu diperlukan adanya proses menghitung jarak berbasis peta digital untuk mengetahui jarak pengiriman yang akan di perhitungkan. Penelitian ini menggunakan metode Research and Development yaitu jenis penelitian yang digunakan untuk menghasilkan produk tertentu, dan menguji ke efektifan produk tersebut. Formula Haversine adalah sebuah teori yang bisa digunakan untuk proses perhitungan jarak dalam mengirimkan produk dari marketplace sikmajo, dengan titik koordinat yang terdiri dari garis lintang latitude dan garis bujur longtitide. Peta digital dibangun menggunakan fasilitas API yang berasal dari Mapbox, selain mudah digunakan Mapbox juga menyediakan banyak pilihan kustom untuk mengisi keterbatasan yang dimiliki penyedia peta digital lain. Peta digital akan menjadi salah satu fitur dari marketplace sikmajo yang berfungsi untuk menampilkan hasil perhitungan jarak yang di hitung dari lokasi 1 ke lokasi 2.
PENERAPAN PRINSIP-PRINSIP RESTFUL API DALAM PENGEMBANGAN WEB SERVICE PADA NEO FEEDER DENGAN FRAMEWORK LARAVEL: PENERAPAN PRINSIP-PRINSIP RESTFUL API DALAM PENGEMBANGAN WEB SERVICE PADA NEO FEEDER DENGAN FRAMEWORK LARAVEL Ula, M. Izul; Kusrini, Kusrini; Muhammad, Alva Hendi
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.21417

Abstract

With advances in technology, the use of fire is very helpful in the development process of the data in the Neo Feeder which is directly integrated into the Higher Education and Higher Education. The presence of a web service in the Neo Feeder makes it easier to retrieve data as needed in the development process. This research uses the Representational State Transfer (RESTFUL) Web Service method. RESTFULL web service is a technological method that applies the concept of moving between states using a browser or also called the HTTP mechanism to connect applications with other applications. In this case the RESTFULL method is used as data access to the local database (SIAKAD) which aims to facilitate development and provide updated information. Based on the results of the tests that have been carried out, it can be concluded that functionally all processes in the system using the RESTFULL Web Service method have run as expected and can reduce actual information (Syafrial, M., & Teguh, I. 2019).
Penerapan Metode Naïve Bayes dalam Sistem Restock Barang pada Toko Ffactory2nd Kasih, Patmi; Santoso, Ricky Laschka Zidane; Helilintar, Risa; Kasih, Patmi Kasih
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.21964

Abstract

This research aims to implement the Naïve Bayes method in determining restocking decisions for Ffactory2nd, a fashion product retail business entity. Ffactory2nd has a crucial need to effectively manage its inventory and make informed decisions regarding restocking. Sales data were collected from August to December 2023, with testing conducted on 16 selected products as samples. The analysis results indicate that the system can provide accurate restocking recommendations based on inventory levels. The Naïve Bayes method is employed for classifying restocking into two categories: Restock (Yes) and No Restock. The analysis demonstrates that the system is capable of delivering accurate restocking recommendations, aiding inventory managers in more effective decision-making. Alpha and beta functional testing indicates that the restocking determination system has been successfully implemented and well-received by users. User satisfaction reached an average level of 93%, indicating a positive impact of the system on inventory management at Ffactory2nd.
A APLIKASI INFORMASI LOKASI BENCANA BERBASIS ANDROID: - AZIZ, MUHAMMAD ABDUL
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.21984

Abstract

Android Based Disaster Location Information Application Designer. This research was motivated by the length of time officers took to handle a disaster and the officers did not yet know the real location when the disaster occurred. In designing disaster location information applications, there are several menus that can support the speed of officers in handling disasters. In this application there is also a graphic feature of disaster risk levels in the Kediri City area. This risk level determination is taken in the cluster identification process using 3 levels of disaster prone grouping, namely low, medium and high. This grouping level is taken based on the level of grouping of disaster-prone areas of the Kediri City BPBD. The results of grouping through the cluster identification process show that in the Flood Disaster Event the risk level in Mojoroto sub-district is at the High level with a percentage of 66.7% and Kota Sub-district is at the Medium level with a percentage of 16.7% and Islamic boarding school sub-district is at the Low level with a percentage of 16.7 %. In the event of a landslide disaster, the risk level in the Mojoroto sub-district is at the High level with a percentage of 50% and the Kota sub-district is at the Medium level with a percentage of 25% and the Islamic boarding school sub-district is at the Low level with a percentage of 25%. In the event of a drought disaster, the risk level in Mojoroto sub-district is at the Medium level with a percentage of 33.3%, and Kota Sub-district is at the Medium level with a percentage of 33.3% and Islamic boarding school sub-district is at the Medium level with a percentage of 33.3%. In the event of an Extreme Weather Disaster, the risk level in Mojoroto sub-district is at the High level with a percentage of 43.6% and Kota Sub-district is at the Medium level with a percentage of 30.9% and Islamic boarding school sub-district is at the Low level with a percentage of 25.5%. In the event of an Earthquake Disaster, the risk level in Mojoroto sub-district is at the Medium level with a percentage of 33.3%, and Kota Sub-district is at the Medium level with a percentage of 33.3% and Islamic boarding school sub-district is at the Medium level with a percentage of 33.3%. In the event of the Covid-19 Disaster, the risk level in Mojoroto sub-district is at Low level with a percentage of 29.8%, and Kota Sub-district is at Medium level with a percentage of 33.5% and Islamic boarding school sub-district is at High level with a percentage of 36.8%. The results of this grouping will make it easier for officers to select and sort out which areas are prioritized for alerting personnel to locations that have been grouped in disaster-prone areas. The conclusion of this research is that the application of disaster location information can help officers to handle things more quickly and prioritize areas that are at a high risk level for disasters.
PERANCANGAN SISTEM WEB UNTUK KENAKALAN SISWA DI SMAN 1 REJOTANGAN MENGGUNAKAN METODE NAÏVE BAYES Wicaksono, Imam; Putra Pamungkas, Danar; Setiawan, Ahmad Bagus
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.22021

Abstract

This research addresses student misconduct at SMAN 1 Rejotangan through the implementation of the Naïve Bayes Method in a web-based decision support system. The evaluation demonstrates a high accuracy level in classifying student misconduct. Functional tests confirm the successful management of attendance data and student violations, with the system providing accurate information and receiving positive feedback from users. In the context of Handling IDs, the Naïve Bayes method categorizes students into mild and moderate violations, with Handling 1 to Handling 5 encompassing these categories. Handling 6 and Handling 7 did not appear in the classification results for the second semester of 2023.The conclusion indicates that the implementation of the Naïve Bayes Method has successfully made a positive contribution by providing accurate information and supporting decision-making for the school authorities. Research recommendations include optimizing the Naïve Bayes algorithm, developing system features, actively involving relevant stakeholders, user training, and periodic system maintenance. These steps are expected to enhance the quality and effectiveness of the system in addressing the dynamics of student misconduct in the school environment.
Analisis Pengaruh Kecepatan Putaran Cetakan dan Temperatur Peleburan Pengecoran Sentrifugal Terhadap Kekerasan dan Struktur Mikro Aluminium 6061 Suprapto, Agus; Andrijono, Djoko; Jumiadi, Jumiadi; Tsamroh, Dewi Izzatus
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.22386

Abstract

Pengecoran logam adalah proses pembuatan komponen dengan cara melelehkan logam dan menuangkannya ke dalam cetakan, yang kemudian dibiarkan mendingin dan mengeras. Penelitian ini menggunakan metode pengecoran sentrifugal, di mana cetakan diputar sehingga gaya sentrifugal menyebar logam cair ke tepi cetakan tanpa menggunakan inti. Bahan yang digunakan adalah aluminium 6061 dengan variasi putaran cetakan antara 400 rpm, 800 rpm, dan 1200 rpm pada suhu peleburan aluminium sebesar 800℃. Selain itu, variasi suhu peleburan juga dilakukan pada 800℃, 900℃, dan 1000℃ dengan putaran cetakan tetap pada 800 rpm. Hasil pengujian kekerasan menunjukkan peningkatan seiring dengan peningkatan putaran cetakan, dari 93,8 HRH pada 400 rpm, 95,6 HRH pada 800 rpm, hingga 96,5 HRH pada 1200 rpm. Sedangkan pada variasi suhu peleburan, kekerasan meningkat dari 97,1 HRH pada 800℃, 96,7 HRH pada 900℃, hingga 96,1 HRH pada 1000℃. Selanjutnya, pengujian struktur mikro dilakukan dengan metode planimetri, menghasilkan ukuran rata-rata butir mikro. Ukuran butir mikro menunjukkan kecenderungan berkurang seiring dengan peningkatan putaran cetakan, dengan ukuran rata-rata sebesar 90 µm pada 400 rpm, 65 µm pada 800 rpm, dan 45 µm pada 1200 rpm. Sebaliknya, suhu peleburan yang lebih tinggi menghasilkan butir mikro yang lebih besar. Terlihat bahwa semakin kecil ukuran butir mikro, maka kekerasan benda cor juga semakin tinggi.
PERANCANGAN GAME EDUKASI CALCUBOY PADA ANAK USIA 4 SAMPAI 7 TAHUNSTUDI KASUS : TK DHARMA WANITA 1 TAROKAN DAN SDN TAROKAN 1 Bagus Iswanto, Bima; Wahyu Widodo, Danang; Nur Farida, Intan
Nusantara of Engineering (NOE) Vol 7 No 2 (2024): Volume 7 Nomor 2 - 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i2.22036

Abstract

This research explores the development and implementation of the educational game "Calcuboy: Math Adventure" for children aged 4-7 as a counting learning tool. A case study was conducted at TK Dharma Wanita 1 Tarokan and SDN Tarokan 1. The implementation, based on the Game Design Document (GDD), focused on the High Concept Document (HCD) and Character Design Document (CDD). The evaluation of the implementation involved game testing with 20 children aged 4-7 as respondents. The analysis included character control ease, game difficulty level, counting challenges, responses to graphics and sound, emotional engagement, and learning experience. The results show that 75% of respondents found it easy to control the character Aiden, while 25% considered it difficult. Most (70%) assessed that the difficulty level was not suitable for the children's age, and 60% responded negatively to counting challenges. Responses to graphics and sound tended to be positive (55%), but 45% gave negative or neutral feedback. Children's emotional engagement was low (75%), with only 25% feeling involved. Positive learning experiences were reported by 40% of respondents, while 60% stated otherwise. The conclusion indicates the potential of the game as a counting learning tool but highlights the need for improvements, such as adjusting difficulty levels, developing graphic and sound aspects, and enhancing emotional engagement with the character Aiden.
ANALISIS HASIL PREDIKSI UNTUK PENGADAAN STOK BAHAN DENGAN METODE EOQ PADA TOKO O’AYAM GEPREK Yuningsih, Yayuk; Bagus Setiawan, Ahmad; Putra Pamungkas, Danar
Nusantara of Engineering (NOE) Vol 7 No 2 (2024): Volume 7 Nomor 2 - 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i2.22037

Abstract

This research discusses the design of a sales prediction and inventory procurement system using the Economic Order Quantity (EOQ) method at O'Ayam Geprek Restaurant. The aim of this study is to enhance the efficiency and effectiveness of inventory management, as well as to obtain optimal material restocking recommendations. The research is conducted through several stages, starting from needs analysis, system design, EOQ algorithm simulation, to application implementation. The EOQ method is chosen because it has been proven to provide accurate solutions in determining the optimal quantity of material orders. The research results indicate the successful implementation of the EOQ method at O'Ayam Geprek. The system can classify materials into two categories, namely Restock Yes and Restock No, based on predefined parameters. Evaluation of 21 materials during the October to November period shows that the system provides effective and efficient restocking recommendations. Alpha and beta functional testing also confirms the success of the implementation, with a user satisfaction level reaching 79.91%.
ANALISIS HASIL KLASIFIKASI KUALITAS CABAI RAWIT MENGGUNAKAN METODE SUPPORT VECTOR MACHINE kurniadi, Ade; Kasih, Patmi; Farida, Intan Nur
Nusantara of Engineering (NOE) Vol 7 No 2 (2024): Volume 7 Nomor 2 - 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i2.22167

Abstract

This research aims to implement the Support Vector Machine (SVM) method in classifying cayenne pepper images based on their quality. A total of 800 images of cayenne pepper were collected and grouped into four quality classes, namely rotten, greenish, dry and ripe. The classification process using SVM involves a preprocessing stage, image segmentation with Canny edge detection, and model performance evaluation. Implementation is carried out through the development of a web application with several worksheets, including model training worksheets, classification process, classification results, evaluation and export. System testing involves alpha and beta functional testing. Alpha functional testing includes homepage display and navigation tests, model training process, image classification process, classification results, classification evaluation, and export of classification results. Beta functional testing is carried out by involving users who provide feedback through questionnaires. The test results show that the application succeeded in classifying the image of cayenne pepper with high accuracy and received a positive assessment from users. The results of the F1-Score calculation for SVM classification show good model performance, with F1-Score values ​​for each quality class of cayenne pepper as follows: Rotten (0.973), Greenish (0.979), Dry (1.0), and Ripe (0.972). Thus, this research contributes to the application of SVM for image classification of cayenne peppers with satisfactory results, as well as presenting a reliable application in supporting the quality analysis of cayenne peppers.

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