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All Journal EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Teknik Komputer AMIK BSI Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics IndoMath: Indonesia Mathematics Education JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL TEKNOLOGI DAN OPEN SOURCE JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science Infotekmesin JATI (Jurnal Mahasiswa Teknik Informatika) Respati Media Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Sains Teknologi Transportasi Maritim Jurnal Sistem Komputer dan Informatika (JSON) Madani : Indonesian Journal of Civil Society MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informasi dan Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Jurnal Digit : Digital of Information Technology Mosharafa: Jurnal Pendidikan Matematika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jupiter Journal of Computer & Information Technology Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika dan Teknologi Informasi BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Smatika Jurnal : STIKI Informatika Jurnal
Odi Nurdiawan
STMIK IKMI Cirebon
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Social Sciences Transportation Other

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Sistem Informasi Reservasi Kamar Hotel Snukel Menggunakan Metode Analisis System Usability Scale Melisa Hikari; Nana Suarna; Odi Nurdiawan
Jurnal Accounting Information System (AIMS) Vol. 6 No. 1 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v6i1.700

Abstract

Web-Based Snukel Hotel Reservation Information System, is an information system that focuses on reservation data entered by the receptionist relating to reservations in the hotel's business transactions. In the previous system, data was entered manually using MS.Excel. The risk that is owned is management that is less effective and efficient. The purpose of building this system is to help manage reservation data to be more effective and efficient, make it easier to enter reservation data and help manage data. So that transactions are recorded and stored properly. The system design is made using the system development life cycle (SDLC) approach with the Waterfall design method, the stages include system requirements analysis, system design, system implementation, system testing and system maintenance. Hotel guest reservation system, using PHP programming language MySql. The results of this study are systems that have been tested with a black box, the results of the black box test state that the system is running well and as expected. System analysis uses the SUS method so that it gets a score or accuracy of 77.33 which means that the system is feasible and well received by the user.
Rancang Bangun Sistem Ujian Online SMP Berbasis Website dengan Menggunakan Metode SDLC pada SMPN 6 Kota Cirebon Haidar Fakhri; Odi Nurdiawan; Kaslani Kaslani; Edi Wahyudin; Nining Rahaningsih
INTERNAL (Information System Journal) Vol. 5 No. 1 (2022)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v5i1.512

Abstract

SMP NEGERI 6 Cirebon City is a school that has an A accreditation score and gets the title as a National Standard School. However, there are still problems including when the exam is still visible cheating, the lack of types of questions and seating positions that allow students to work together, the values ??obtained from each lesson are still manually inputted from each class by each eye teacher. lessons, and there are teachers who feel tired to count and match the answers for each subject being tested. The method used is the Systems Development Life Cycle (SDLC), using the earliest SDLC approach used for software development, namely WaterFall. The results of the study indicate that this online-based exam system can help improve the effectiveness of online exams at SMP Negeri 6 Cirebon City for the better.
DEEP LEARNING FOR POLYCYSTIC OVARIAN SYNDROME CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK Odi Nurdiawan; Heliyanti Susana; Ahmad Faqih
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 2 (2024): JITK Issue February 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i2.4575

Abstract

Polycystic Ovarian Syndrome (PCOS) is the main cause of infertility in women. This condition results in abnormal hormone levels. Women who experience this syndrome will have irregular hormone levels and experience irregular menstrual cycles as well, thereby affecting the reproductive system. Symptoms that arise as a result of the increase in these hormones can be seen from the growth of hair on the legs, weight gain which results in not being ideal, irregular menstruation, unusual acne growth, and oily skin. The problem of Polycystic Ovarian Syndrome can cause disturbances in ovulation and cause infertility in women. Urgency This research requires a classification that has good accuracy in diagnosing early to minimize the rate of pregnancy failure. The aim of the research is to be able to model early detection of Polycystic Ovarian Syndrome with high accuracy so that it can help the health team in detecting Polycystic Ovarian Syndrome or not having Polycystic Ovarian Syndrome. The research stage has 3 stages including the first stage of identifying problems and collecting datasets from Telkom University dataverse in the form of images and literature reviews of various sources. The second stage is Pre Processing of image data, Data Training, modeling design by managing image data and classifying using the Convolutional Neural Network Algorithm deep learning model and testing. The third stage is evaluating the test results and discussing the results of accuracy in determining the status of Normal Polycystic Ovarian Syndrome or PCOS. The results of training and validation on the ovarian xray image dataset using the CNN architecture that has been made, 40 iterations (epochs), and 4 step_per_epochs show an accuracy value of 0.8947 or 89.47% and a loss value of 0.2684.
NAIVE BAYES DAN WORDCLOUD UNTUK ANALISIS SENTIMEN WISATA HALAL PULAU LOMBOK Irvandi; Irawan, Bambang; Nurdiawan, Odi
INFOTECH journal Vol. 9 No. 1 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i1.5322

Abstract

Lombok merupakan salah satu destinasi wisata halal di Indonesia dan sudah diakui dunia. Untuk membuktikan asumsi tersebut berdasarkan sumber dari opini wisatawan, maka perlu dilakukan analisis sentimen apakah keberadaannya sesuai dengan yang diharapkan. Google Maps merupakan salah satu platform yang dapat menunjukkan lokasi pulau Lombok beserta ulasan tertulis dari wisatawan yang pernah berkunjung. Pengumpulan data ulasan dilakukan melalui teknik Web Scraping pada Google Maps Review, kemudian data diolah menggunakan RapidMiner dengan algoritma Naive Bayes. Visualisasi Wordcloud juga ditampilkan untuk memunculkan kata-kata yang sering diutarakan wisatawan. Text preprocessing yang dilakukan meliputi tokenize, filter token by length, transform case, stopword, dan stemming. Dari hasil pengujian model algoritma Naive Bayes didapatkan tingkat akurasi sebesar 74,75%. Visualisasi Wordcloud juga menemukan kata terbanyak teratas antara lain "indah", "wisata". “pantai”, “alam”, “gunung”, dan “masjid”.
Game Edukasi Pengenalan Huruf Hiragana Untuk Meningkatkan Kemampuan Berbahasa Jepang Nurcholis, Rifki; Purnamasari, Ade Irma; Dikananda, Arif Rinaldi; Nurdiawan, Odi; Anwar, Saeful
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.357 KB) | DOI: 10.47065/bits.v3i3.1091

Abstract

Educational games are very interesting to develop, because of the diversity that can be done. Some of the advantages of educational games compared to conventional educational methods, one of the main advantages of educational games is the visualization of real problems. Based on the pattern possessed by the game, players are required to learn so that they can solve existing problems. Game status, instructions, and tools provided by the game will guide players actively to explore information so that they can enrich their knowledge and strategies while playing. One of the interesting educational games to focus on is an educational game that discusses the introduction of foreign languages ​​focused on Japanese. With this educational game, it is hoped that it can help students to understand and memorize the hiragana letters in Japanese. This study aims to create a windows-based educational game application as an alternative medium for learning to recognize Japanese Hiragana letters. This game can later be used as an alternative learning media for the general public who just want to learn Japanese, by knowing the basics of Hiragana letters. The research method that can be used for this research can use the MDLC development method. The stages in this research process are Concept, Design, Material Collecting, Assembly, Testing, Distribution. The result of the research is an educational game of Japanese hiragana letters which introduces the basic Japanese hiragana letters and how to write them. In addition there is a quiz game of stacking letters into words to train children after knowing the basic letters of Japanese hiragana. Thus it can help children learn Japanese more easily. With this educational game, it is hoped that it can help children to understand and memorize the hiragana letters in Japanese
Penerima Manfaat Bantuan Non Tunai Kartu Keluarga Sejahtera Menggunakan Metode NAÏVE BAYES dan KNN Putri, Haidah; Purnamasari, Ade Irma; Dikananda, Arif Rinaldi; Nurdiawan, Odi; Anwar, Saeful
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (681.586 KB) | DOI: 10.47065/bits.v3i3.1093

Abstract

The Prosperous Family Card is one of the government's programs in accelerating poverty which functions as a marker for the underprivileged. The implementation of the PSC policy is still not optimal due to factors, namely the lack of socialization and information from village and sub-district officials to the community regarding programs issued by the government. This research to classify the beneficiaries of the Prosperous Family Card, because there are still many other disadvantaged families who have not had the opportunity to receive this assistance program. The method used in this research is the Naive Bayes method and the K-NN method. The results of this study are the classification of beneficiaries from 6,491 KKS recipients with the K-NN Algorithm method yielding an accuracy value of 66.46% with a distribution in 5 villages, including pred Argasunya class precision 64.90% pred Harjamukti class precision 65.18% pred Kalijaga class precision 66.64% pred Kecapi class precision 68.44% pred Prohibition class precision 68.34% while the Naïve Bayes algorithm is classified with true in each kelurahan with true Argasunya distribution of 1,196 KKS class precision 100%, true Harjamukti 1,339 KKS class precision 100%, true Kalijaga 2,067 KKS class precision 100%, true Kecapi 1,137 KKS class precision 100%, true Prohibition 744 KKS(1 KKS true Argasunya, 1 KKS true Harjamukti, 3 KKS true Kalijaga, 3 KKS true Kecapi) class precision 98.64%. the accurasy value of the Naïve Bayes algorithm model is 99.88%.
Analisa Pengelompokan Dataset Komputer Menggunakan Algoritma X-Means Rokhmatan Khaerullah, Rizal; Suarna, Nana; Nurdiawan, Odi
Jurnal Informatika dan Teknologi Informasi Vol. 1 No. 3: Januari 2023
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jt.v1i3.135

Abstract

Computer dataset cluster analysis is a data mining technique that aims to identify a group of objects that have the same characteristics. The problem in this research is how to implement the X-Means Clustering algorithm in grouping computer datasets based on computer prices and specifications. The purpose of this study is to determine the implementation of the X-Means Clustering method in classifying computer datasets against prices and specifications. This computer dataset consists of several attributes with a large number of records so we need a process that can group the data, namely clustering. The use of clustering is expected to provide predictions on the grouping of the computer dataset. One of the clustering methods that can be used to group data is X-Means clustering. The results of the research from data mining grouping computer datasets with the x-means Cluster model produced as many as 3 clusters, namely cluster 0 with 710 members, cluster 1 with 136 items and cluster 2 with 15 items. Keywords: Cluster X-Means Algorithm
Sistem Informasi Surat Masuk Dan Surat Keluar Pada Kantor Balai Besar Wilayah Sungai Menggunakan Metode Sistem Development Life Cycle Arif Fitriyanto, Goffar; Suarna, Nana; Nurdiawan, Odi
Jurnal Informatika dan Teknologi Informasi Vol. 2 No. 2: September 2023
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jt.v2i2.195

Abstract

Sistem Informasi Surat Masuk dan Surat Keluar memiliki peran yang penting dalam mempermudah pengelolaan dan pemantauan surat-surat yang masuk dan keluar di kantor Balai Besar Wilayah Sungai. Namun, belum ada sistem informasi yang terintegrasi yang dapat secara efektif mengelola proses ini. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sebuah sistem informasi yang dapat mengatasi masalah tersebut. Permasalahan Kantor Balai Besar Wilayah Sungai Menghadapi beberapa tantangan dalam pengelolaan surat masuk dan surat keluar, seperti kesulitan dalam pelacakan surat-surat yang masuk dan keluar, kurangnya pengelolaan dan pemantauan yang efisien, serta potensi kehilangan atau pengambilan surat yang tidak sah. Oleh karena itu, dibutuhkan pengembangan sistem informasi yang dapat mengatasi masalah-masalah ini. Tujuan dari penelitian ini adalah untuk mengembangkan sebuah sistem informasi surat masuk dan surat keluar yang terintegrasi, efisien, dan dapat meningkatkan pengelolaan dan pemantauan surat-surat di Kantor Balai Besar Wilayah Sungai Menggunakan Metode Sistem Development Life Cycle. Metode yang digunakan dalam penelitian ini adalah Sistem Development Life Cycle (SDLC). SDLC mencakup beberapa tahap pengembangan sistem, yaitu analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Penelitian ini akan melibatkan pengumpulan data dari pengguna, analisis kebutuhan sistem, desain dan pembangunan sistem, serta pengujian dan evaluasi untuk memastikan kehandalan dan keefektifan sistem.
Naive Bayes and Wordcloud for Sentiment Analysis of Halal Tourism in Lombok Island Indonesia Irvandi, Irvandi; Irawan, Bambang; Nurdiawan, Odi
INNOVATICS: International Journal on Innovation in Research of Informatics Vol 5, No 1 (2023): Maret 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i1.6675

Abstract

Lombok is one of the halal tourist destinations in Indonesia and has been recognized by the world. To examine these assumptions based on sources from tourist opinion, it is necessary to carry out a sentiment analysis whether their presence is as expected. Google Maps is a platform that can show the location of the island of Lombok along with written reviews from tourists who have visited. The collection of review data is done through the Web Scraping technique on the Google Maps Review, then the data is processed using RapidMiner. The algorithm used is Naive Bayes, an algorithm that uses probability or the concept of opportunity in classification. A word cloud visualization is also displayed to bring up words that tourists often say. 1493 data were obtained after Web scraping and cleansing had been labeled with positive and negative sentiment categories. Preprocessing is carried out which includes tokenize, filter token by length, transform case, stopword, and stemming, then classification using the Naive Bayes algorithm. From the results of testing the Naive Bayes algorithm model, an accuracy rate of 74.75%. Word Cloud visualization also found the top words included "indah", "wisata". “pantai”, “alam”, “gunung”, and “masjid”.
PKM : Pelatihan Desain Kemasan Produk Umkm Desa Tarikolot Berstandar PIRT Nurdiawan, Odi; Suarna, Nana; Sudrajat, Dadang; Dewanty Rafu, Maria; Zeya Sebastian, Muhammad
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 5 : Juni (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

The Community Service Program (PKM) titled "Training on PIRT Standardized Product Packaging Design for UMKM in Tarikolot Village" aims to improve the quality of product packaging for UMKM (Micro, Small, and Medium Enterprises) in Tarikolot Village to meet PIRT (Home Industry Food) standards. Good packaging not only protects the product but also enhances its attractiveness and market value. The problem faced by UMKM in Tarikolot Village is that their product packaging design often does not meet PIRT standards. As a result, their products are less appealing to consumers and face difficulties in obtaining permits and marketing. Non-standard packaging design also impacts the quality and safety of the food produced. The purpose of this training is to enhance the skills of UMKM in designing product packaging that meets PIRT standards, making their products more marketable and compliant with food safety regulations. Additionally, this training aims to increase awareness of the importance of good packaging in product marketing. The training is conducted in several sessions, covering both theory and practice. The theory sessions provide basic knowledge about PIRT standards and the principles of good packaging design. The practical sessions involve workshops where participants directly design their product packaging under the guidance of packaging design experts. The training materials also include printing techniques and the selection of suitable packaging materials. Following the training, participants showed significant improvement in their packaging design capabilities. Most UMKM products in Tarikolot Village now meet PIRT standards, with more attractive and informative packaging designs. Participants also reported increased knowledge of packaging regulations and the application of effective design techniques. Thus, this training has successfully improved the quality of UMKM products in the village and opened up new marketing opportunities.
Co-Authors Abdul Rauf Chaerudin Abdul Robi Padri abdullah, nur syarief Ade Irma Purnamasari Ade Irma Purnamasari Ade Irma Purnamasari Ade Kurnia, Dian Ade Rizki Rinaldi Adisty Tri Putra Agis Maulana Robani Agung Nugraha Agus Surip Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Faqih Ahmad Zam Zami Aini, NoviFirda Ainnur Rahman, Rizal Amar, Mohammad Rosihin Amarda, Juan Amri, Hajijin Ananda Rafly Andi Setiawan Andi Setiawan Anwar Musaddad Aria Pratama Arif Fitriyanto, Goffar Arif Rinaldi Dikananda Asyraful Hijrah, Ahmad baihaqqi, Farisky Bambang Irawan Basysyar, Fadhil Muhammad Basysyar, Muhammad Fadhil Cep Lukman Rohmat Cep Lukman Rohmat Cep Lukman Rohmat Dadang Sudrajat Deasiva, Imanda Dewanty Rafu, Maria Dias Bayu Saputra Dikananda, Arif Rinaldi Dilla Eka Lusiana Diniarti, Indah Dita Rizki Amalia Dodi Solihudin Dwi Teguh Afandi Edi Tohidi Edi Wahyudin Eko Wiyandi ETI KURNIAWATI Ezar Qotrunnada Fadhil M. Basysyar Fadrin Helmi FANDI ACHMAD Fathurrohman, Fathurrohman Faturrohman, Faturrohman Fauzi Fauzi Febriansyah, Feggy Fidya Arie Pratama Fidya Arie Pratama Firmansyah Firmansyah Fitriyani, Nur Sifa Gifthera Dwilestari Haidar Fakhri Hanafi, Muhammad Salman Hayati, Umi Heliyanti Susana Herdiana, Ruli Herdiana, Rully Heriyawan, Ikhsan Himawan, Irvan Hira Wahyuni Azizah Ibnu Ubaedila Irfan Ali Irfan Ali Irfan Ali, Irfan Irma Purnamasari, Ade Irvandi Irvandi IRVANDI, IRVANDI Jaelani Sidik Jamalul'ain, Abdul Jayawarsa, A.A. Ketut Julia Eka Yanti Juliadi, Diky Karlina, Lita Kaslani Khamim Surya Hadi Kusuma Al Atros Khoirul Insan, Moh Khoirul Kurnia, Dian Ade Kurniawan Fajar Abdulloh Laturrizqi, Washi Lukmanul Hakim M. Basyisyar, Fadhil M. Iqbal Fadhilah, Aji Mamluah, Karimatul Mariyani, Dinda Martanto . Mauludin, Muhammad Rifqi Medina Aprilia Putri Melia Melia Melia Melia Melisa Hikari Mia Fijriani Muchamad Sobri Sungkar, Muchamad Sobri Muhalim, Alvy Mulyana Mulyana Mulyawan Mulyawan Musliyadi, Mar'i Nana Suarna Nana Suarna Nana Suarna Nanda Permatasari Nining Rahaningsih Nining Rahaninsih Noval Salim Nur Atikah Nurcholis, Rifki Nurdiawan, Rudi Nurhadiansyah Nurhadiansyah Nurhadiansyah, Nurhadiansyah Nurhakim, Bani Nurrohmat, Iman Pratama, Denni Pratama, Fidya Arie Pratama, Irfan Pratiwi, Fitriyani Prihartono, Willy Purnamasari, Ade Irma Putra, Aris Pratama Putri, Haidah R, Nining Riansah, Adam Rinaldi Dikananda, Arif Rinaldi Dikanda, Arif Riyan Suryatana Riyan, Ade Bani Rizki Rinaldi, Ade Rizki, Dicky Miftakhul Rohmat, Cep Lukman Rokhmatan Khaerullah, Rizal Rudi Hartono Rudi Kurniawan Rudi Kurniawan Ruli Herdiana Ruli Herdiana Rully Pramudita Saeful Anwar Saeful Anwar Saeful Anwar, Saeful Saepul Hadi Salsa Billa Agistina Seputra, Nenda Alfadil Suarna, Nana Subandi, Husein Suripno Susana, Heliyanti Syafi'i, Syafi'i Tati Suprapti Taufik Hidayat Tengku Riza Zarzani N Tio Prasetiya Tio Prasetya TOMAS TOMAS Topan Hadi Tuti Hartati Tuti Hartati Wiyandi, Eko Yudhistira Arie Wijaya Yunus, Shofian Zeya Sebastian, Muhammad