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CICES Journal
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cices@raharja.info
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+62215529586
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cices@raharja.info
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Jl. Jenderal Sudirman No. 40 Modern Cikokol Tangerang - Banten 15117 Indonesia
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INDONESIA
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science)
Published by UNIVERSITAS RAHARJA
ISSN : 23565209     EISSN : 26553058     DOI : 10.33050/cices
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) adalah wadah publikasi jurnal ilmiah untuk multidisiplin ilmu seperti Bidang Ilmu Politik, Ekonomi, Manajemen, Sosial, Ideologi, IT, Budaya dan Pendidikan. CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) is a place for publishing scientific journals for multidisciplinary sciences such as Politics, Economics, Management, Social Sciences, Ideology, IT, Culture and Education.
Arjuna Subject : Umum - Umum
Articles 213 Documents
Pemanfaatan Model ResNet50 dan SVM untuk Klasifikasi Penyakit Daun Tebu Yunizar, Sri Fatmawati; Sari, Anggraini Puspita; Aditiawan, Firza Prima
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3506

Abstract

Indonesia is an agrarian country with an economy that heavily relies on the agricultural sector, including the sugarcane plantation sub-sector for sugar production. Although domestic sugar production continues to increase, the demand for sugar consumption also grows, leading to dependency on imports and fluctuating sugar prices in the domestic market. Therefore, efforts to maintain and enhance the productivity of sugarcane crops are crucial. One of the main challenges in sugarcane cultivation is the attack of pests and diseases such as yellow disease, redrot, mosaic, and rust, which often affect sugarcane plants and reduce their productivity. These diseases must be detected promptly as they significantly impact the quality and quantity of the sugarcane to be harvested. However, manual identification processes are prone to human error and are inefficient for large-scale plantations. To address this, machine learning technology using Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) was employed. This approach uses CNN for feature extraction and SVM for classification. Through a series of experiments, the study shows that the CNN and SVM models can achieve high accuracy of 90.32% with a computational time of 181.53 seconds.
Perancangan Aplikasi Mobile Pembelajaran Bahasa Berbasis Podcast dan Penerapan Hybrid Recommender System Anugerah, Rico Putra; Nugroho, Budi; Al Haromainy, Muhammad Muharrom
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3509

Abstract

This research develops a mobile application based on podcasts to enhance language skills, particularly in listening. Listening is considered a priority because vocabulary comprehension is necessary before mastering speaking, reading, and writing. Podcasts are chosen as the learning medium due to their ability to present audio on specific topics, aiding users in more effectively understanding the language. The application is also equipped with a recommendation system that utilizes the Hybrid Recommender System method, tailoring content based on user behavior and content similarity. The research results show that this application can optimize language learning, with a particular focus on language learning through podcasts, and helps users improve their language skills with a precision value of 85,6%, recall 85,9%, F1-Measure 88% and 80,2 for SUS testing.
Analisis Perbandingan Test Case Prioritization Menggunakan Algoritma Greedy dan Algoritma Hill Climbing Ainun, Dipika Syaiban
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3514

Abstract

Software Testing merupakan salah satu langkah penting dalam memastikan suatu software tetap unggul serta dapat berjalan dan digunakan oleh masyarakat luas, software testing dapat dilakukan menggunakan Regression Testing untuk memastikan software tidak mengalami kerusakan atau terdapat bug baru setelah perubahan terjadi. Regression Testing digunakan untuk menghemat waktu dan biaya pengujian dengan menerapkan Test Case Prioritization yang berfungsi agar software tester dapat memilih test case yang paling penting untuk dilakukan pengujian berdasarkan penggunaan algoritma Greedy dan algoritma Hill Climbing yang digabungkan dengan parameter lain seperti Severity Rating, dan matriks Average Percentage Fault Detection (APFD). Fokus penelitian ini adalah mencari urutan prioritas test case berdasarkan hasil pengujian Regression Testing pada website demoblaze.com berdasarkan perbandingan algoritma Greedy dan algoritma Hill Climbing yang digabungkan dengan parameter Severity Rating berdasarkan nilai APFD tertinggi. Hasil dari penelitian menunjukkan penggunaan algoritma Hill Climbing lebih efektif dalam menentukan prioritas test case dengan memperoleh nilai APFD sebesar 0.91, sedangkan algoritma Greedy mendapatkan nilai APFD sebesar 0.9.
Aplikasi Mobile Penjualan Makanan Sisa Dengan Geolocation Dan Metode Haversine Maulana, Dimas Octa; Akbar, Fawwaz Ali; Nurlaili, Afina Lina
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3523

Abstract

Food waste is a critical global issue with significant economic and environmental implications. In 2021, approximately 40% of the total global food production, equivalent to 2.5 billion tons, was wasted. This figure marks a notable increase of 1.2 billion tons from the estimated food waste in 2011. Globally, Indonesia ranks second in terms of the highest levels of food waste, with 39.4% of the total waste generated in the country being food waste. This statistic makes food waste the predominant type of waste in Indonesia. This research aims to design and develop a mobile geolocation based application for the sale of surplus food, utilizing the haversine method to facilitate this process. The application is designed to allow users to access the locations of surplus food sellers within a maximum radius of 25 kilometers from their position. The results indicate that the developed application successfully displays the distance between consumers and surplus food sellers. Black box testing successfully ensures that all application functionality runs well. The level of user acceptance of the application is at the acceptable level, and the application grade is B.
Pengembangan Sistem Monitoring dan Manajemen ATK Berbasis Website dengan Fitur Real-Time Reporting di Pengadilan Negeri Kudus Latifah, Jihan; Listyorini, Tri; Supriyati, Endang
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3584

Abstract

Pengelolaan alat tulis kantor (ATK) yang optimal menjadi elemen penting dalam mendukung kelancaran administrasi di instansi pemerintahan, termasuk di Pengadilan Negeri Kudus. Namun, masih terdapat tantangan dalam melakukan pemantauan terhadap ketersediaan stok, permintaan, serta distribusi ATK secara real-time. Penelitian ini bertujuan untuk merancang dan membangun sistem berbasis web yang dapat memantau serta mengelola ATK guna meningkatkan efisiensi pengelolaannya. Metode penelitian melibatkan analisis kebutuhan, desain sistem menggunakan framework Laravel, serta implementasi dan pengujian fitur utama, seperti manajemen stok, pemrosesan permintaan, dan pelaporan otomatis. Hasil penelitian menunjukkan bahwa sistem ini memudahkan bendahara dalam memantau ketersediaan ATK sekaligus mengelola permintaan dari pengguna. Selain itu, sistem menyediakan laporan yang dapat diakses secara real-time untuk mendukung proses pengambilan keputusan yang lebih baik. Dengan demikian, sistem ini diharapkan mampu meningkatkan efisiensi operasional serta transparansi dalam pengelolaan ATK.
Analisis User Experience Pada Website Pendaftaran Santri Pondok Pesantren Salafiyyah Al-Hidayah Kudus Menggunakan Metode Heuristic Evaluation Musthofa, Ahmad Wildan
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3611

Abstract

Penelitian ini menganalisis User Experience pada website pendaftaran santri Pondok Pesantren Salafiyyah Al-Hidayah Kudus menggunakan metode Heuristic Evaluation. Evaluasi ini penting dilakukan untuk memastikan website yang dikembangkan dapat memenuhi kebutuhan pengguna secara optimal dalam proses pendaftaran santri baru yang sebelumnya dilakukan secara manual. Penelitian menggunakan pendekatan kuantitatif dengan menyebarkan kuesioner kepada 20 responden yang pernah menggunakan website tersebut. Kuesioner dirancang berdasarkan 10 prinsip Heuristic Evaluation yang dikembangkan oleh Jakob Nielsen. Hasil analisis menunjukkan bahwa seluruh aspek yang dievaluasi berada pada tingkat Severity Rating 1 (Cosmetic Problem), yang mengindikasikan adanya masalah-masalah kecil yang tidak terlalu mengganggu kenyamanan pengguna. Aspek Aesthetic and Minimalist Design (1.275) dan Consistency and Standards (1.225) memerlukan perhatian lebih dalam perbaikan, sementara aspek Visibility of System Status (0.95) menunjukkan performa terbaik. Hasil evaluasi ini dapat menjadi dasar untuk pengembangan dan perbaikan website guna meningkatkan kualitas pengalaman pengguna dalam proses pendaftaran santri.
Implementasi Aplikasi CRM Berbasis Mobile dengan Waterfall Development untuk Efisiensi Kerja Karyawan di PT Kobe Boga Utama Kudus Aji, Calvin Prakoso Setyo
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3612

Abstract

Penelitian ini bertujuan untuk mengembangkan aplikasi Customer Relationship Management (CRM) berbasis Android dengan menggunakan model pengembangan Waterfall untuk meningkatkan efisiensi kerja karyawan di PT Kobe Boga Utama, Kudus. Aplikasi ini dirancang dengan memanfaatkan Flutter sebagai framework pengembangan dan bahasa pemrograman Dart, yang mendukung fitur-fitur unggulan seperti notifikasi real-time, manajemen tugas, proyek, jadwal, serta komunikasi berbasis chat. Penelitian menggunakan metode kualitatif dengan pengumpulan data melalui wawancara, observasi, dan studi literatur. Hasil implementasi menunjukkan bahwa aplikasi ini mampu mengatasi kendala operasional seperti koordinasi yang kurang efektif dan pengelolaan tugas manual. Pengujian menggunakan metode Black Box Testing memastikan seluruh fungsi aplikasi berjalan sesuai spesifikasi, seperti pengelolaan tugas, integrasi kalender, dan notifikasi real-time. Hasil penelitian ini menunjukkan bahwa aplikasi CRM berbasis Android tidak hanya meningkatkan efisiensi kerja karyawan tetapi juga memberikan kontribusi positif terhadap pertumbuhan bisnis secara berkelanjutan. Kata Kunci— Customer Relationship Management, Flutter, Efisiensi Kerja, Waterfall Development, Aplikasi Mobile
E-Learning Responsif Berbasis Laravel untuk Mendukung Pembelajaran Daring di SMP Negeri 1 Kudus Yahya, Ahmad Dimasyqi
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3619

Abstract

The advancement of information technology has driven educational institutions to adapt, particularly in implementing responsive and integrated online learning. This study aims to design and develop a Laravel-based e-learning system at SMP Negeri 1 Kudus to support digital teaching and learning processes. The system was designed using the Waterfall software development method, which includes requirement analysis, system design, implementation, testing, and maintenance. This system provides key features such as user management, learning material management, assignments, exams, and grade reports, accessible via both desktop and mobile devices. During development, web technologies such as HTML, CSS, JavaScript, and the MySQL database were utilized. Testing results showed that the application operated according to specifications and positively impacted the effectiveness of online learning, particularly in enhancing interactions between teachers and students. Additionally, the system is responsive and supports cross-device accessibility, facilitating students and teachers in various situations. This research is expected to offer an innovative solution to overcome the limitations of conventional learning, support digital transformation in education, and provide a more interactive and adaptive learning experience in line with technological advancements.
Sistem Informasi Distribusi LPG 3 Kg Pada PT Explorindo Solusi Gasindo Kudus Berbasis Website Kusdariyanto, Sofiyan
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3621

Abstract

The 3 kg LPG distribution system plays an important role in ensuring the fuel supply is well-targeted. 3 kg Liquefied Petroleum Gas (LPG) is an important subsidized fuel for households and small businesses in Indonesia. PT Explorindo Solusi Gasindo Kudus faces obstacles in the distribution and management of new base registration manually, such as long lines, data errors, and payment complexity. This research develops a web-based information system to improve administrative efficiency, simplify registration, and increase service transparency. This research aims to develop a web-based LPG 3 KG Distribution Information System for PT Explorindo Solusi Gasindo Kudus. This system is designed to facilitate distribution data management, including base registration, cross-check for base acceptance, and real-time base data reporting. This system is expected to support modern and effective management of LPG distribution. The implementation results show an increase in operational efficiency, data transparency, and ease of access for related parties, supporting the optimization of LPG distribution in the Kudus area.
Sistem Informasi Kpi Untuk Analisis Kinerja Karyawan Menggunakan Naive Bayes Di Pt Jembatan Data Pangrango Pahlawan, Reza
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 2 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i2.3651

Abstract

Penelitian ini mengembangkan sistem analisis kinerja karyawan berbasis web untuk menganalisis dan memprediksi kinerja karyawan menggunakan metode Recurrent Neural Network (RNN) di PT Jembatan Data Pangrango, sebuah perusahaan penyedia layanan internet di Sukabumi. Sistem analisis kinerja karyawan manual yang sebelumnya digunakan menyebabkan inefisiensi dalam memantau dan mengevaluasi kinerja. Dengan pendekatan Rapid Application Development (RAD), sistem ini dibangun untuk mencatat absensi, mendeteksi anomali, dan menganalisis pola kinerja karyawan berdasarkan data historis. Sistem ini juga mampu memprediksi performa karyawan secara individual dan memberikan rekomendasi pelatihan yang sesuai untuk peningkatan kinerja. Hasil pengujian menunjukkan bahwa sistem dapat mendeteksi pola ketidakhadiran, keterlambatan, dan lembur, sehingga memudahkan perusahaan dalam melakukan evaluasi kinerja dan perencanaan pengembangan karyawan secara lebih efektif.