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All Journal Informatics for Educators and Professional : Journal of Informatics JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Angkasa: Jurnal Ilmiah Bidang Teknologi JURIKOM (Jurnal Riset Komputer) JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal ICT : Information Communication & Technology Jurnal Accounting Information System (AIMS) Narada : Jurnal Desain dan Seni Hello World Jurnal Sistim Informasi dan Teknologi AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS) Linier: Literatur Informatika dan Komputer
Arif Rinaldi Dikananda
STMIK IKMI Cirebon
Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Other

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Penerapan Algoritma K-Means dalam Klasterisasi Kasus Stunting Balita Desa Tegalwangi Putri Apriyani; Arif Rinaldi Dikananda; Irfan Ali
Hello World Jurnal Ilmu Komputer Vol. 2 No. 1 (2023): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/helloworld.v2i1.230

Abstract

Di Indonesia, dengan prevalensi stunting sebesar 37,2%, naik dari 35,6% pada tahun 2019 dan 36,8% pada tahun 2020, masalah stunting masih menjadi masalah kesehatan masyarakat yang signifikan. Ketika seorang anak pendek (kerdil), panjang atau tinggi badannya di bawah normal untuk usianya. Stunting berdampak buruk pada masalah kesehatan mental, tingkat IQ rendah, infeksi menular, dan tumbuh kembang anak. Permasalahan yang ada di Desa Tegalwangi saat ini adalah orang tua dan kader posyandu masih belum memiliki pemahaman dasar tentang stunting balita,balita dengan kasus stunting teridentifikasi saat pertumbuhan dan perkembangannya tidak sesuai dengan usianya dan tidak ada pengelompokan data berdasarkan faktor tersebut. K-Means merupakan salah satu algoritma dalam data mining yang bisa digunakan untuk melakukan pengelompokan suatu data. Penggunaan algoritma K-Means pada penelitian dimana algoritma tersebut banyak dipakai oleh para peneliti sebagai proses klasterisasi untuk menentukan status stunting balita. Teknik pengumpulan data dalam penelitian ini yaitu teknik observasi pasif, dimana peneliti datang langsung ke tempat pelaksanaan Posyandu. Adapun data yang digunakan dalam penelitian ini sebanyak 395 dataset. Penelitian ini didukung dengan metode Knowledge Discovery In Databases (KDD) adalah keseluruhan proses non- trivial untuk mencari dan mengidentifikasi pola (pattern) dalam data. Tujuan dari penelitian ini adalah untuk mengetahui kelompok atau cluster status stunting balita yang didapat berdasarkan parameter usia, berat badan dan tinggi badan. Hasil dari penelitian ini adalah didapat jumlah cluster optimal dengan K=2.Untuk cluster 0 terdapat 392 balita yaitu Shanum, Rizka, Nurjanah dan lainnya, cluster 1 dengan terdapat 3 balita yaitu Ezra, M Abidza dan Abd Mahmud. Dengan jumlah total balita stunting 287 balita dan jumlah total balita status normal 108 balita dan nilai DBI yang paling optimal sebesar 0.007 dimana nilai tersebut mendekati 0 yang berarti klaster yang di evaluasi menghasilkan klaster yang baik.
The Implementation of Data Mining Method Using K-Means Algorithm to Analyze Study Interest of High School Students Dadang Sudrajat; Arif Rinaldi Dikananda; Abrar Hiswara; Rinovian Rais; Amat Suroso
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.209

Abstract

At present, the school is experiencing difficulties processing the results of student academic achievement for the specialization process for high school students. The currently running student interest process still uses a manual system by calculating the subject value of each student and then grouping the results of the calculation of each student's value into science or social studies interest groups in accordance with the requirements imposed by the school. For that, we need a solution that can overcome these difficulties. The author develops the application using the Rapid Application Development (RAD) method, which consists of the requirements planning phase, the design phase, the construction phase, and the implementation phase. At the construction stage, the K-Means algorithm is implemented in data mining technology to classify student academic achievement results into science and social studies interest groups. The results of making this application are intended for the school, especially the homeroom teacher, so that it can be an alternative solution or advice in making decisions for student specialization.
Pelatihan Aplikasi E-Commerce Desa Cisantana Kuningan Guna Meningkatkan Potensi Ekonomi Arif Rinaldi Dikananda; Nining Rahaningsih; Irfan Ali
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 8 : September (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Cisantana Kuningan Village, in carrying out its entrepreneurship, has used the internet, but the use of this technology has not been optimal. The problem faced by partners is that the use of information technology is still not optimal as a promotional medium for their entrepreneurial products. Partners' limited knowledge and ability to use internet media and e-commerce media is limited to using the WhatsApp application. The solution offered by the PM team is to solve the problems faced by partners by holding training on the use of e-commerce media literacy technology as a product promotion medium. The PM implementation method consists of field surveys, permits, problem analysis, problem solutions, implementation, evaluation and reporting. The output results that will be achieved in this activity are increasing the ability of partners in utilizing information technology and the ability of partners in creating promotional media.
Mengangkat Kreativitas Dan Daya Saing: Pendampingan Inovasi Desain Kemasan Produk UKM Cirebon Arif Rinaldi Dikananda; Edi Wahyudin; Siskawati; Tiar Imam Muarif; Nurilah
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 09 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Small and Medium Enterprises have an important role in moving the wheels of the economy in Indonesia. Because business management is carried out in a simple and uncomplicated manner, many business actors make SMEs their main choice as business platforms that generate economic value. However, SME products are often underestimated because the packaging is less attractive or does not provide the information that consumers need. The results of assistance activities in Cirebon SME product packaging design innovation, it can be concluded that this effort has succeeded in increasing the creativity and competitiveness of small and medium businesses in Cirebon. This assistance is able to open new insights regarding product packaging design, helping Cirebon SMEs to create a strong and attractive visual identity for consumers. As a result, Cirebon SME products have become more prominent in the market, attracting the interest of more consumers, and strengthening their position in the industry. Apart from that, this activity also strengthens the synergy between Cirebon SMEs. They can share ideas, experiences and knowledge related to packaging design, creating a community that supports each other and motivates each other to continue to innovate. This assistance not only provides benefits in the short term, but also has the potential to have a positive impact in the long term. With attractive packaging designs, Cirebon SME products can expand the market and compete with similar products from other regions. Overall, assistance with product packaging design innovation for Cirebon SMEs has brought significant positive changes for SMEs. This proves that investment in packaging design is an important strategic step to increase competitiveness and advance the SME sector in Cirebon.
E-Learning Satisfaction Menggunakan Metode Auto Model Arif Rinaldi Dikananda; Fidya Arie Pratama; Ade Rizki Rinaldi
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 2-2 (2019): Special Issue on Seminar Nasional - Inovasi Dalam Teknologi Informasi & Teknol
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i2-2.1864

Abstract

E-Learning just like learning media in general need to be evaluated to find out and measure how much effectiveness, efficiency and user satisfaction with the quality of the overall learning process. One effort that can be done to find out and evaluate the quality of a learning is to use satisfaction evaluation. Measurement of satisfaction requires data derived from questionnaires that are presented using a Likert scale. The data illustrates the perception of users who have uncertainty because it is very subjective so that it has the potential to cause misinterpretation. The auto model method can be used to evaluate e-Learning satisfaction because the auto model method has the advantage of solving a problem with the various models produced, which in this case are in accordance with the context of the satisfaction problem that is often presented in natural language that has uncertainty, such as "how satisfied? "," How efficient? "And" how much is user satisfaction. Based on the auto model method, the results of the satisfaction scores of each respondent, shown in the table above, are summed and the average is calculated. With the auto model, the results show that SVM is the best performance method with an acceleration rate of 90% and best gains with a value of 38.
Media Pembelajaran Video Animasi Organ Tubuh Manusia Arif Rinaldi Dikananda; Iin Iin; Saeful Anwar; Raditya Danar Dana; Kanda Muhamad Ishak
Jurnal Accounting Information System (AIMS) Vol. 4 No. 2 (2021)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v4i2.243

Abstract

Interactive video is a technology for sending electronic signals from a moving image that can describe information which in the process occurs 2-way communication between multimedia and users. This research started from the problems encountered, namely the number of elementary school students who still do not know and do not understand the human organs. The method used is the ADDIE method (Analysis, Design, Development, Implementation, Evaluation). The use of interactive video based on 2D animation is expected to attract students so they don't get bored while learning using video. The applications used to create these interactive learning videos are Corel Draw X7 for creating digital sketches and Adobe After Effects for editing digital sketches into a video. The results in this study are interactive learning videos about human organs. Learning videos can be used by students so that they can increase student interest in learning because there are 2D animations and interactions with users and can be used anytime and anywhere. So it can be concluded that this learning video received a very good response from students because it is effectively used when studying at school and at home. Respondents were taken as many as 50 students. The results of this study obtained an increase in student understanding from 40% of students or as many as 20 students to 76% or as many as 38 students. There was an increase of 36%.
Analisis Sentimen Ulasan Pengguna Aplikasi Kredivo Menggunakan Algoritma Support Vector Machine (SVM) dengan Metode TF–IDF Ariska Sari; Bambang Irawan; Ahmad Faqih; Arif Rinaldi Dikananda; Fathurrohman Fathurrohman
LINIER: Literatur Informatika dan Komputer Vol 2, No 4 (2025)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v2i4.3344

Abstract

Perkembangan teknologi informasi telah mendorong peningkatan substansial dalam jumlah data teks yang dihasilkan melalui berbagai interaksi pengguna pada platform digital, khususnya di bidang layanan keuangan online. Data ulasan konsumen mengandung informasi berharga terkait tingkat kepuasan dan pandangan pelanggan terhadap suatu produk atau jasa. Kajian ini mengkhususkan diri pada penerapan analisis sentimen terhadap ulasan pengguna aplikasi Kredivo, dengan memanfaatkan algoritma Support Vector Machine (SVM) serta serangkaian langkah pra-pemrosesan teks yang komprehensif. Langkah-langkah tersebut meliputi case folding, pembersihan data, tokenisasi, penghapusan kata-kata berhenti, dan stemming dengan bantuan pustaka Sastrawi yang dirancang untuk Bahasa Indonesia. Fitur teks diekstraksi menggunakan pendekatan Term Frequency–Inverse Document Frequency (TF–IDF), kemudian diklasifikasikan melalui model SVM dengan kernel Radial Basis Function (RBF). Hasil percobaan menunjukkan bahwa model SVM menunjukkan kinerja klasifikasi yang superior, dengan tingkat akurasi yang tinggi dalam membedakan sentimen positif, negatif, dan netral. Temuan ini konsisten dengan studi sebelumnya yang menekankan bahwa penggabungan stemming, penghapusan kata-kata berhenti, dan SVM dapat meningkatkan akurasi analisis sentimen secara bermakna. Secara keseluruhan, penelitian ini memberikan sumbangan bagi pengembangan teknik analisis sentimen dalam Bahasa Indonesia, terutama di sektor teknologi keuangan, dengan membuktikan bahwa integrasi antara SVM dan TF–IDF, yang didukung oleh pra-pemrosesan yang sesuai, mampu menghasilkan model klasifikasi opini pelanggan yang efektif dan mampu menyesuaikan diri dengan nuansa linguistik Bahasa Indonesia
PKM Pelatihan Pendampingan Web Profil Desa Tarikolot Sumedang Saeful Anwar; Yudhistira Arie Wijaya; Fathurrohman; Arif Rinaldi Dikananda; Hilpad Hidayat
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Tarikolot Village in Sumedang has significant potential in various aspects, yet it remains underexposed due to the limited availability of information online. Many villages in Indonesia have not yet utilized digital technology to introduce their village profiles and potential to the public, resulting in missed opportunities for economic and social development. Through this Student Creativity Program (PKM), training and mentoring are provided for the creation and management of a village profile website for Tarikolot Village, aimed at enhancing the accessibility of information and promoting the village digitally.The objective of this program is to equip village officials and the community with the knowledge and skills to independently build, manage, and update the village profile website. The implementation methods include technical training on website development, content management workshops, and intensive mentoring in using digital platforms for village promotion. The expected outcome of this activity is the creation of an informative and easily accessible Tarikolot Village profile website, as well as improved digital information management skills among the villagers. It is anticipated that this website will increase the visibility of Tarikolot Village, attract investment, and improve the overall welfare of the village community.
PKM Peningkatan Daya Saing UMKM Melalui Inovasi Desain Dan Kemasan Produk Makanan Denni Pratama; Arif Rinaldi Dikananda; Ahmad Faqih; Cistia Ningrum; Lukman Dwi Kusuma
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 5 : Juni (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

MSMEs in the food sector play a crucial role in Indonesia's economy. However, the competitiveness of MSME products remains low due to a lack of innovation in product design and packaging. This issue hinders broader market penetration and reduces consumer interest. This program aims to enhance the competitiveness of MSME products through innovative and functional design and packaging. The methods employed include design training and workshops, as well as mentoring in implementing new packaging. The expected outcome is an improvement in the quality of product design and packaging, which can attract more consumers and boost sales. Consequently, MSMEs can compete more effectively in both local and international markets.
Pelatihan Image Processing Untuk Meningkatkan Kemampuan Analisis Visual Data Bagi Dosen Kopertip Indonesia Ahmad Rifa’i; Arif Rinaldi Dikananda; Aruka Wijaya; Muhammad Adhari Febriyan
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 2 : Maret (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

This community service activity focuses on improving the competence of lecturers in the Indonesian Higher Education Cooperative (KOPERTIP) in the field of image processing and visual data analysis, with an emphasis on image preprocessing training. The background of this activity is the rapid development of information technology that demands a deep understanding of image processing for visual data analysis. Many lecturers, especially in KOPERTIP, still lack mastery of basic image preprocessing techniques, which hinders the optimal use of visual data in research and teaching. This training program aims to address this skill gap by providing lecturers with practical knowledge and skills in processing visual data using software such as Python with the OpenCV and PIL libraries. The training covers the basic concepts of image preprocessing, including image enhancement, noise reduction, edge detection, and image transformation techniques. The training method involves a combination of theory and direct practice, case studies, and intensive mentoring. The results of this activity include increased understanding and technical skills of lecturers, the compilation of training modules, draft scientific publications, and the formation of a learning and collaboration community among lecturers. The positive impacts include improved teaching quality, increased interest in visual data research, and the potential for broader academic collaboration. This activity is considered successful in improving the competence of KOPERTIP Indonesia lecturers in digital image processing, which is expected to enhance the quality of research, teaching, and the competitiveness of higher education institutions. The program emphasizes the importance of practice-based training, continuous mentoring, and the relevance of the material to the curriculum and academic research. Recommendations for program sustainability include advanced training, collaborative application development, facility improvement, and cooperation with related institutions or industries.
Co-Authors Abrar Hiswara Ade Irma Purnamasari Ade Irma Purnamasari Ade Rizki Rinaldi Agus Surip Agus Surip Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Rifa’i Ariska Sari Aruka Wijaya Aulia Nur Rochmah Bambang Irawan Bani Nur Hakim Cistia Ningrum Dadang Sudrajat Denni Pratama Dias Bayu Saputra Edi Wahyudin Farid Ali Ma'ruf Fathurrohman Fathurrohman Fathurrohman Fidya Arie Pratama Harry Budi Santoso Hilpad Hidayat Iin Irfan Ali Irfan Ali Irfan Ali Julia Eka Yanti Kanda Muhamad Ishak Lukman Dwi Kusuma Mochamad Arief Saputra Muhamad Abdurohman Muhamad Aji Pratama Muhammad Adhari Febriyan Nining Rahaningsih Nova Nur Sakbani Nurilah Odi Nurdiawan Pratama, Fidya Arie Putri Apriyani Raditya Danar Dana Raja Al-Fath Hidayat Rinovian Rais Saeful Anwar Saeful Anwar Siskawati suroso, amat Tati Suprapti Tiar Imam Muarif Tio Prasetya Umi Hayati Yoga Nugraha Yudhistira Arie Wijaya