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All Journal Jurnal Simetris Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi INFORMAL: Informatics Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMATICS SISFO KOMPUTIKA - Jurnal Sistem Komputer INTEGRITAS : Jurnal Pengabdian Journal of Innovation Information Technology and Application (JINITA) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Ilmu Komputer untuk Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Proceeding International Applied Business and Engineering Conference PAPUMA: Journal of Comunnity Services JGGAG (Journal of Games, Game Art, and Gamification)
Furqon, Muhammad Ariful
Departemen Informatika, Universitas Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Virtual Assistant for Thesis Technical Guide Using Artificial Neural Network Mohammad Ovi Sanjaya; Saiful Bukhori; Muhammad `Ariful Furqon
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 2 (2023): September 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i2.23473

Abstract

This study focuses on finding best practice for Artificial Neural Network (ANN) implementation in the information system for student’s thesis technical instructions. The machine learning model applied sequential model, it means ANN only use 1 input layer, a hidden/dense layer and 1 output layer. The Stochastic Gradient Decent (SGD) method was applied into data training process. The results of this study are chatbot applications, and model testing using the confusion matrix. The result of model evaluation are 99,49% accuracy and 91% in F-1 score.
Pelatihan Pemrograman Visual Kodular Bagi Siswa SMPS Mitra Patrang Jember Muhammad Ariful Furqon; Muhamad Arief Hidayat; Priza Pandunata; Mohammad Zarkasi; Yanuar Nurdiansyah; Katarina Leba
Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Vol. 4 No. 1 (2024): Mei 2024 - Abdiformatika: Jurnal Pengabdian Masyarakat Informatika
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/abdiformatika.v4i1.211

Abstract

Pelatihan pemrograman visual menggunakan platform Kodular di SMPS Mitra Patrang Jember bertujuan untuk meningkatkan pemahaman siswa terhadap konsep pemrograman komputer. Metode yang digunakan dalam kegiatan pengabdian ini mencakup: (1) spesifikasi tujuan dan identifikasi masalah; (2) desain pelatihan; (3) implementasi pelatihan; serta (4) evaluasi dan umpan balik. Desain pelatihan yang terstruktur melibatkan partisipasi siswa dalam serangkaian sesi yang mencakup konsep dasar pemrograman visual dan penggunaan platform Kodular. Hasil menunjukkan peningkatan signifikan dalam pemahaman siswa setelah pelatihan, dengan mayoritas menyatakan kepuasan dan minat yang tinggi. Pelatihan ini efektif dalam meningkatkan pemahaman pemrograman visual dan merangsang minat siswa dalam teknologi. Studi ini memberikan kontribusi penting dalam memperluas pemahaman tentang pendekatan pembelajaran inovatif dalam konteks pendidikan sekolah menengah.
Customer Relationship Management System at Aesthetic Clinic nina fadilah najwa; Muhammad Ariful Furqon; Yosari Dwi Fadhillah
Jurnal Komputer Terapan Vol. 9 No. 2 (2023): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v9i2.6159

Abstract

Accessing and processing information more effectively and efficiently is made possible through the employment of quality information technology, one of which is in the technology the clinic requires. According to our case study, the clinic is still manually documenting customer service data and experiencing declining repeat client visits. Utilizing information technology is necessary for efforts to boost customer value innovation. As one of its aspects, Customer Relationship Management uses a framework of dynamics to acquire customer satisfaction data from loyal customers. The utilization of customer data will be categorized into platinum, gold, and silver using a ranking system for decision-making with the Simple Additive Weighting method—rating customers through the normalization of a decision matrix. The maximum consumer value based on the parameters determined by the choice matrix is one, while the lowest is 0.27. The testing that has been conducted is black-box testing. It is determined that 100 percent of the system's functionality is operating correctly, and UAT testing reveals that all features operate properly. Usability Testing conducted on patients yielded a ratio of 78.1%, indicating that the clinic evaluated customer satisfaction with the customer relationship management system.
Analisi Data Eksploratori Kritis untuk Dataset Prediksi Stroke Muhammad Arif Ariful Furqon; Nina Fadilah Najwa; Mohamad Zarkasi; Priza Pandunata; Gama Wisnu Fajariyanto
Jurnal Komputer Terapan Vol. 10 No. 1 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i1.6307

Abstract

Stroke is a significant global health concern, requiring an in-depth understanding of the complex factors contributing to its occurrence. Age, body mass index (BMI), and average glucose levels are critical factors in stroke etiology. This study employed exploratory data analysis techniques to investigate the relationships between variables in a stroke prediction dataset. The research methodology included (1) dataset description, (2) data preprocessing, (3) exploratory data analysis, and (4) interpretation. Descriptive statistical analysis provided insights into the dataset's composition and variability, while data preprocessing techniques handled missing values and facilitated feature extraction. Based on exploratory data analysis, significant relationships were found between age, hypertension, heart disease, average glucose levels, and stroke. However, BMI showed a less significant role in stroke. These findings contribute to a better understanding of the factors contributing to stroke risk and may aid in developing more effective prevention strategies.
Knowledge Graph Construction for Rice Pests and Diseases Muhammad Ariful Furqon; Saiful Bukhori
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1022

Abstract

The agricultural industry in Indonesia confronts the simultaneous task of augmenting food production to satisfy escalating demand while proficiently handling crop losses caused by pests and diseases.  This study introduces a novel approach that leverages knowledge graphs to transform traditional, expert-based knowledge into a dynamic and interconnected system for addressing these agricultural challenges. The study delineates constructing a comprehensive knowledge graph, commencing with data extraction with SPARQL queries, and progressing to ontology design, object property and datatype property specification, and instance generation. The resultant knowledge graph not only serves as an organized archive for pest and disease information but also gives a systematic framework for the integration, analysis, and decision-making of data in agriculture. This knowledge graph adds to the broader junction of data science and agriculture by improving the diagnosis, prevention, and control of rice diseases.
Prediksi Harga Cabai Rawit di Provinsi Jawa Timur Menggunakan Metode Fuzzy Time Series Model Lee Komaria, Vida; Maidah, Nova El; Furqon, Muhammad Ariful
Komputika : Jurnal Sistem Komputer Vol 12 No 2 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i2.10644

Abstract

ABSTRAK - Jawa timur merupakan Provinsi dengan jumlah produksi cabai rawit terbesar di Indonesia berdasarkan data dari BPS pada tahun 2021 yaitu sekitar 41,75%. Cabai rawit merupakan komoditas yang memiliki fluktuasi harga yang tinggi dan berpengaruh terhadap berbagai pihak sehingga dibutuhkan mekanisme untuk memprediksi harga cabai rawit agar menjadi bahan pertimbangan dalam pengambilan keputusan. Fuzzy time series Lee merupakan salah satu metode yang dapat digunakan untuk memprediksi data time series baik data yang bersifat stasioner maupun non-stasioner. Penelitian dilakukan menggunakan data historis harga cabai rawit merah dan cabai rawit hijau di Provinsi Jawa Timur dari April 2017 hingga Februari 2023 dengan periode data mingguan sebanyak 307 data. Nilai Z1 dan Z2 yang digunakan untuk mendapatkan hasil error terkecil adalah Z1=950 dan Z2=400 untuk cabai rawit merah sedangkan untuk cabai rawit hijau nilai Z1 dan Z2=100. Nilai error dari peramalan harga cabai rawit merah menggunakan model fuzzy time series Lee yaitu MAE=4.469,04 RMSE=6.138,64 dan MAPE=13,09% dengan kategori nilai MAPE baik dan nilai error untuk peramalan harga cabai rawit hijau yaitu MAE=1.486,15 RMSE=2.211,06 dan MAPE=6,72% dengan kategori nilai MAPE sangat baik. Kata Kunci – peramalan; fuzzy time series Lee; harga cabai rawit; MAPE; Python
Implementasi Metode Holt-Winters Multiplicative pada Sistem Peramalan Pengunjung Objek Wisata Kawah Ijen Kabupaten Bondowoso Irawan, Hendry Sakti; Adiwijaya, Nelly Oktavia; Furqon, Muhammad ‘Ariful
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 14, No 2 (2023): JURNAL SIMETRIS VOLUME 14 NO 2 TAHUN 2023
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v14i2.9549

Abstract

Kawah Ijen merupakan salah satu destinasi wisata dengan tingkat kepadatan pengunjung paling tinggi diantara seluruh objek wisata di Kabupaten Bondowoso. Kendala yang paling sering dialami oleh wisata Kawah Ijen pada tahun 2017 - 2022 yaitu terkait jumlah kedatangan pengunjung yang tidak menentu dan peningkatan maupun penurunan yang signifikan di bulan tertentu. Pola seperti ini dinamakan pola data musiman dan tren. Metode Holt-Winters Multiplicative ini dianggap sangat tepat digunakan untuk peramalan dengan pola data musiman dan tren. Pengukuran tingkat kesalahan yang digunakan pada penelitian ini menggunakan metode MAPE. Hasil dari perhitungan nilai MAPE tanpa melampirkan data 2020 menghasilkan nilai MAPE yaitu sebesar 9 %, sedangkan hasil dari perhitungan MAPE dengan melampirkan data 2020 menghasilkan nilai MAPE yaitu sebesar 209 %. Hal ini menunjukkan bahwa terdapat dua perbandingan perhitungan MAPE dengan metode Holt-Winters Multiplicative. Dapat disimpulkan bahwa perhitungan metode HoltWinters Multiplicative tanpa melampirkan data 2020 memiliki MAPE dengan nilai 9 % dapat dikatakan sangat rendah karena memiliki rata-rata nilai MAPE dibawah 10%.
PELATIHAN DAN PENGENALAN TEKNOLOGI INFORMASI (TI) DASAR UNTUK ANAK-ANAK DESA AMPELAN BONDOWOSO Sari, Vega Kartika; Deana Nathania Damayanti; Naura, Lintang Arsa; Furqon, Muhammad
PAPUMA: Journal of Community Services Vol. 2 No. 02 (2024): Agustus 2024
Publisher : Program Studi Agronomi Fakultas Pertanian Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/papuma.v2i02.1377

Abstract

Ampelan Village, which is in Wringin District, Bondowoso Regency, has a large number of residents, including elderly residents, adults and children. One of the problems in Ampelan Village is the lack of children's understanding of the world of technology. In fact, understanding it is currently very necessary, especially for children who are currently studying as a preparation for facing future challenges. One of the programs carried out in Ampelan Village is basic IT training for children which aims to equip the younger generation with digital skills so they can keep up with developments that are closely related to digitalization in education. This program is designed to provide a basic understanding of the use of computers, the internet and platforms to support their school work. The activity was attended by 31 children, who were very enthusiastic during the activity. The result of this activity was an increase in participants' understanding of the basics of navigation on laptops, typing, and the use of Microsoft Word and Microsoft PowerPoint. The hope is that this program can help access the introduction of technology education in rural areas to reduce the digital divide.
Sentiment Analysis of Universitas Jember’s Sister for Student Application Using Gaussian Naive Bayes and N-Gram Mochamad Bagoes Alfarazi; Muhammad 'Ariful Furqon; Harry Soepandi
Journal of Innovation Information Technology and Application (JINITA) Vol 6 No 2 (2024): JINITA, December 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v6i2.2400

Abstract

This research aims to classify sentiment in reviews of the Universitas Jember Sister for Student application on Google Play Store, a vital student platform. The primary challenge tackled is the automated identification of positive and negative user sentiments. The study employs the Gaussian Naive Bayes method for classification and uses N-Gram techniques for sentiment analysis. The dataset consists of 1097 reviews, with 673 negative and 424 positive reviews, after removing 86 neutral spam reviews. The data is divided into 80% training data (877 reviews) and 20% test data (220 reviews). Gaussian Naive Bayes is used for modeling and combined with TF-IDF vectorization. The findings reveal that the Gaussian Naive Bayes model achieves an accuracy of 68%, precision of 68%, and recall of 71% on the test data. N-Gram analysis shows frequent occurrences of words like "bisa", "bagus", and "aplikasi" in positive sentiments, while "bisa", "hp", and "absen" are prevalent in negative sentiments. The study concludes that the Gaussian Naive Bayes model effectively classifies sentiment in application reviews, with the potential for further performance improvements.
Harmoni Multikultural: Membangun Kebersamaan di Tengah Perbedaan untuk Kaum Milenial Katarina Leba; Balthasar Watunglawar; Muhammad ‘Ariful Furqon; Dwi Wijonarko
ABDISOSHUM: Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Vol. 3 No. 4 (2024): Desember 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdisoshum.v3i4.4217

Abstract

This community service activity is conducted through a religious seminar to strengthen the understanding and implementation of diversity values among young generations. The seminar is designed to respond to the increasing challenges of societal polarisation and intolerance, especially among millennials. Through a series of interactive sessions, participants are invited to explore the concept of multicultural harmony from a religious perspective, emphasizing universal values such as compassion, empathy, and mutual respect. The seminar material covers discussions on the role of religion in promoting peace, strategies to overcome inter-group prejudices and stereotypes, and best practices in building interfaith dialogue. The seminar also addresses the role of technology and social media in facilitating positive interactions between cultures and religions. It is hoped that through this activity, millennials can become active agents of change in building a harmonious and inclusive society while respecting the uniqueness of each cultural identity. Post-seminar evaluations show increased participants' understanding of the importance of togetherness in diversity and a commitment to apply the values of multicultural harmony in daily life.
Co-Authors Ahmad Sonny Pranata Alifian Sukma, Alifian Apol Pribadi Ar Ruhimat, Qurrota A'yuni Ari Cahaya Puspitaningrum Ati Kusmiati Balthasar Watunglawar Deana Nathania Damayanti Deny Hermansyah Dwi Wijonarko Eki Saputra Eki Saputra El Maidah, Nova Endah Septa Sintiya Fazrol Rozi, Fazrol Firmansyah, Diksy Media Gama Wisnu Fajarianto Gayatri Dwi Santika Gun Faisal Harry Soepandi Herman Cahyo Diartho Hidayat, Muhamad Arief Irawan, Hendry Sakti Kartika, Vera Katarina Leba Komaria, Vida Madani, Anis Mochamad Bagoes Alfarazi Mohamad Zarkasi Mohammad Ovi Sanjaya Mohammad Zarkasi Muhamad Arief Hidayat Muhammad Bagus Rizqi Alvian Muhammad Zuama Al Amin Najwa, Nina Fadilah Naura, Lintang Arsa Nina Najwa Nova El Maidah Nur Aini Rakhmawati Okfalisa Oktavia, Nelly Priza Pandunata Puspaningrum, Diah Putri, Ikfira Agustina Rakhmawati, Nur A retnani, windy eka yulia Rita Sari Saiful Bukhori Sayekti Harits Suryawan Setiawan, Juni Suyudi, Fadil Abdillah Vega Kartika Sari Vera Kartika Windi Eka Yulia Retnani Yanuandika Akbar Yanuar Nurdiansyah, Yanuar Yanuarti, Rizky Yosari Dwi Fadhillah Yudha Alif Auliya