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All Journal Speed - Sentra Penelitian Engineering dan Edukasi Sinkron : Jurnal dan Penelitian Teknik Informatika Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Khatulistiwa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta Jurnal Mantik Penusa JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research INTI Nusa Mandiri JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Informasi SPEED - Sentra Penelitian Engineering dan Edukasi Informatics and Computer Engineering Journal Informatika Sains Teknologi

Acmad Nurhadi

Universitas Bina Sarana Informatika

Author-ID : 1218734

Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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Implementasi Metode Waterfall pada Perancangan Sistem Informasi E-Commerce Griya Busana Emira Ricki Sastra; Acmad Nurhadi
Jurnal Sistem Informasi Vol 7 No 2 (2018): JSI Periode Agustus 2018
Publisher : LPPM STMIK ANTAR BANGSA

Abstract -- The current technology is very influential on the sales business process, offline system began to be replaced and the start of a new system that is online sales through electronic media. This has an impact on the Company's intercompany competition is getting higher, therefore one of the companies selling fashion boutique fashion apparel griya emira trying to increase sales by applying a new system that is selling online through the website. This sales system becomes a way of improving marketing and sales. In designing this E-commerce website researchers use waterfall method that will be applied in the design of ecommerce information systems on fashion boutique emira fashion. In its application Waterfall method consists of several stages of planing, analysis, design, and implementation. This research is expected to support the company in increasing sales and able to make the information system in the company to be better. Intisari - Teknologi yang berkembang saat ini sangat berpengaruh pada proses bisnis penjualan, sistem offline mulai ditinggalkan dan mulainya sistem baru yaitu penjualan secara online melalui media elektronik. Hal ini berdampak pada Persaingan usaha antar Perusahaan semakin tinggi oleh karena itu salah satu perusahaan Penjualan produk busana butik griya busana emira berusaha meningkatkan penjualan dengan menerapkan sistem baru yaitu penjualan secara online melalui website. Sistem penjualan ini menjadi cara dalam meningkatkan pemasaran dan penjualan. Dalam merancang website E-commerce ini peneliti menggunakan metode waterfall yang akan diterapkan dalam Percancangan system informasi ecommerce pada butik griya busana emira. Dalam penerapan nya Metode Waterfall terdiri dari beberapa tahap yaitu planing,analisis,design,dan implementation. Penelitian ini diharapkan dapat menunjang perusahaan dalam meningkatkan penjualan dan mampu menjadikan sistem informasi di perusahaan menjadi lebih baik. Kata Kunci : Penjualan, Online, Waterfall

Sistem Pakar Diagnosa Penyakit Gigi Berbasis Web Pada Ritz Dental Clinic Acmad Nurhadi - AMIK BSI Pontianak
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 9, No 2 (2017): Speed 2017
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Abstract - Teeth are one of the most vital and powerful human organs we use to destroy various types of food, from gentle feeding to hard foods and teeth we also use to beautify our smiles, therefore we should be able to care for Our teeth, but most people sometimes like to ignore about dental health problems such as cleaning after eating or check doctors dentist specialist so it can lead to no comfort in both eating and when communicating with people around when they know that the disease caused by teeth can be fatal Such as disturbing the nerve performance of the human brain. Expert Systems are knowledge-based programs that provide expert-quality solutions to problems in a specific domain. The Expert System is an advisory program or consultation program that contains the knowledge and experience included by one or more experts within a particular domain, so that everyone can use it to solve problems or make decisions without the help of an expert. In the field of health, Expert System can be used as a referral program about the symptoms of dental disease, in order to directly provide treatment against dental disease. With the development of internet technology as a global information media today, enabling Expert System presented in the form of web-based information system that can be accessed online anytime.Keywords: Expert System, Dental Disease Diagnosis, Web-Based Abstrak - Gigi adalah salah satu organ tubuh manusia yang sangat vital dan kuat yang kita gunakan untuk menghancurkan berbagai jenis makanan, dari makan yang lembut sampai makanan yang keras sekalipun dan gigi juga kita gunakan untuk memperindah dikala kita tersenyum, maka dari itu kita harus bisa merawat gigi kita, namun kebanyakan masyarakat terkadang suka mengabaikan tentang masalah kesehatan gigi seperti membersihkannya setelah makan ataupun memeriksanya kedokter spesialis gigi sehingga bisa mengakibatkan adanya tidak kenyamanan baik dalam makan maupun saat berkomunikasi dengan orang sekitarnya padahal apabila mereka tahu bahwa penyakit yang ditimbulkan gigi itu bisa berakibat fatal seperti mengganggu saraf kinerja otak manusia. Sistem Pakar adalah program berbasis pengetahuan yang menyediakan solusi-solusi dengan kualitas pakar untuk problema-problema dalam suatu domain yang spesifik. Sistem Pakar merupakan program pemberi nasehat atau program konsultasi yang mengandung pengetahuan dan pengalaman yang dimasukan oleh satu atau banyak pakar dalam satu domain tertentu, agar setiap orang dapat memanfaatkannya untuk memecahkan masalah atau membuat keputusan tanpa dibantu oleh seorang pakar. Pada bidang kesehatan, Sistem Pakar dapat dimanfaatkan sebagai program pemberi rujukan tentang gejala-gejala penyakit gigi, agar bisa langsung memberikan pengobatan terhadap penyakit gigi tersebut. Dengan berkembangnya teknologi internet sebagai media informasi global dewasa ini, memungkinkan Sistem Pakar disajikan dalam bentuk sistem informasi berbasis web yang dapat diakses secara online kapan saja. Kata kunci : Sistem pakar, Diagnosa Penyakit Gigi, Berbasis Web

Sistem Pakar Diagnosa Penyakit Kucing Berbasis Web Menggunakan Metode Forward Chaining Acmad Nurhadi - AMIK BSI Pontianak
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 10, No 2 (2018): Speed 2018
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Abstract - Currently the development of technology is growing rapidly. Seen from most human activities require technology to meet daily needs. Human needs that can be done by itself was now fulfilled by technology. One is the expert system. Cats are one of the most pets kept in Indonesia or in the world. We, especially those who like and keep the cat must also pay attention to the health condition of the cat, because it does not close the possibility of disease suffered by the cat can be contagious. Lack of information about cat diseases and also a lack of awareness about the importance of maintaining the health of pet cats resulted in the number of cats that are not well maintained. By using web-based applications, information from an expert will be easily obtained by the user, without having to come to an expert / experts who are experts in the field, therefore to overcome these problems then the need to be made expert system capable of diagnosing disease in cats with see the symptoms that exist in a sick cat.Keywords: Expert System, Cat, Forward Chaining, Web Abstrak - Saat ini perkembangan Teknologi semakin berkembang dengan pesat. Terlihat dari sebagian besar aktivitas manusia membutuhkan teknologi dalam memenuhi kebutuhan sehari-hari. Kebutuhan manusia yang dapat dilakukan dengan sendiri pun sekarang telah dipenuhi oleh teknologi. Salah satunya adalah sistem pakar. Kucing adalah salah satu hewan peliharaan terbanyak yang dipelihara di Indonesia ataupun di dunia. Kita, terutama yang menyukai dan memelihara kucing harus juga memperhatikan kondisi kesehatan dari kucing tersebut, karena tidak menutup kemungkinan penyakit yang diderita oleh kucing tersebut dapat menular. Kurangnya informasi tentang penyakit kucing dan juga kurangnya kesadaran tentang pentingnya memelihara kesehatan kucing peliharaan mengakibatkan banyaknya kucing yang tidak terjaga kesehatannya. Dengan menggunakan aplikasi berbasis web, informasi dari suatu pakar akan mudah didapat oleh pengguna, tanpa harus datang pada seorang ahli/pakar yang ahli pada bidangnya, oleh karena itu untuk mengatasi permasalahan tersebut maka perlunya untuk dibuatkan sistem pakar yang mampu melakukan diagnosa penyakit pada kucing dengan melihat gejala-gejala yang ada pada kucing yang sedang sakit.Kata Kunci: Sistem Pakar, Kucing, Forward Chaining, Web

Work schedule system application at PT. Asima Jaya Teknik Bekasi Acmad Nurhadi; Elly Indrayuni
Journal of Information System, Informatics and Computing Vol 6 No 2 (2022): JISICOM: December 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v6i2.969

With the Covid-19 virus still making us have to innovate in the field of technology to support a job. and to find out the problems that exist in PT. Asima Jaya Teknik, the method used is the waterfall method, where the Waterfall Model is divided into four stages, requirements analysis, design, coding, and testing. PT. Asima Jaya Teknik, in the process of recap work it is still not computerized so that in carrying out the process, errors are still encountered starting from when inputting data to getting work to billing data. The process is still manual using paper, so there is often loss and damage, sometimes between one employee and another having data that is not the same, so they have to work twice to correct data from other employees. The results of this study create an application that is used to recap the work of employees that can help and alleviate and speed up the work process at PT. Asima Jaya Engineering. In addition, it can also save time and energy from the employees of PT. Asima Jaya Engineering.

OPTIMASI NAIVE BAYES BERBASIS PSO UNTUK ANALISA SENTIMEN PERKEMBANGAN ARTIFICIAL INTELLIGENCE DI TWITTER Elly Indrayuni; Acmad Nurhadi
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4282

At present the development of Artificial Intelligence technology is progressing rapidly. There are many new artificial intelligence technologies available in various fields. Artificial Intelligence is an artificial intelligence program that can study data, perform processes of thinking and acting like humans. The presence of Artificial Intelligence technology has many positive impacts, especially in increasing work effectiveness and efficiency. However, AI is also a threat to human resources because slowly human work is being replaced by Artificial Intelligence. Various opinions about the development of Artificial Intelligence are widely discussed on social media such as Twitter. Sentiment analysis is a computational study to automatically categorize opinions into positive or negative categories. In this study, the Naive Bayes algorithm was used to analyze sentiment or public opinion regarding the development of Artificial Intelligence for Twitter users. The data collection method used is crawling data on Twitter. The results of the sentiment classification test for the development of Artificial Intelligence using Naive Bayes yield an accuracy value of 86.42%. Meanwhile, the results of the sentiment classification test using Naive Bayes based on Particle Swarm Optimization (PSO) increased with an accuracy value of 87.55%. Based on the results of this study, the use of PSO as an optimization technique for the Naive Bayes algorithm is proven to be the best algorithm model in sentiment analysis for the development of Artificial Intelligence for English text.

Sistem Informasi Pengolahan Data PPKS Pada Sentra Terpadu “Pangudi Luhur” Bekasi Difa Afnan Ramadhan; Acmad Nurhadi
Informatics and Computer Engineering Journal Vol 4 No 1 (2024): Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i1.2519

Integrated center “pangudi Luhur” Bekasi Is an institution that specifically serves the need for social welfare services (PPKS), PPKS is a group, community of people who have obstacles, difficulties, or distractions, unable to carry out their social functions, so they need social services to meet their needs his life both physically and spiritually as well as socially adequately and fairly. Along with the development of technology, PPKS data processing, both registration, progress, and complaints, has not been managed properly in a computerized way, still using paper so that workers really need time to find the PPKS data. So for this reason, a PPKS data processing information system was created to help process PPKS data processing, developments and complaints using a web-based program. The method used in this preparation is the waterfall method. The stages of waterfall development are Analysis, Design, Coding, Unit testing, Maintenance. At this stage of web design using UML, namely: Usecase Diagrams, Squence Diagrams, Class Diagrams, Deployments and ERD. As for the programming support, the Codeigniter Framework is a result of the system being able to provide a web for the integrated “pangudi Luhur” Bekasi center for data processing and PPKS complaints.

IMPLEMENTASI TEKNIK SMOTE UNTUK MENGATASI IMBALANCE CLASS DALAM KLASIFIKASI SENTIMEN MENGENAI CHATGPT Indrayuni, Elly; Nurhadi, Acmad
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5595

ChatGPT is a chatbot or computer program in the form of a virtual robot that can simulate human-like conversations. ChatGPT is widely used in various fields in academia. The impact of the use of ChatGPT on academia and public perception of this technology is significant. Sentiment analysis can be used to determine the polarity of a text or opinion that is positive or negative. In this research, social media is used as a data source to collect public opinion regarding ChatGPT instantly. The methods used in this reserach are the KNN algorithm and Naive Bayes algorithm. The aim of this research is to find the best algorithm model for sentiment classification in terms of public opinion for ChatGPT which contains English text. Before testing the algorithm model, a text processing stage was carried out which included the processes of case folding, tokenizing, stopword removal, and stemming. Word weighting using TF-IDF was carried out before the data was ready to be processed. Splitting data used in this research includes 80% of the dataset as training data and 20% of the dataset as testing data. The application of the SMOTE technique to the KNN and Naive Bayes algorithms to overcome the imbalance class of the public opinion dataset regarding ChatGPT. The research results show that combining SMOTE and Naive Bayes algorithm gives the best results with an accuracy value of 85.00%, a precision value of 87.64%, a recall value of 84.78% and an f1-score of 86.18%.

PENERAPAN USER EXPERINCE QUESTIONAIRE (UEQ) PADA PENGUKURAN EFEKTIFITAS APLIKASI SATUSEHAT Nurhadi, Acmad; Indrayuni, Elly
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 6 (2024): JATI Vol. 8 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i6.11638

SATUSEHAT adalah sebuah platform aplikasi yang dahulu Bernama Peduli Lindungi saat wabah Covid-19 melanda, namun sekarang berubah menjadi SATUSEHAT yang bertujuan untuk mempermudah akses masyarakat dalam mencari informasi seputar kesehatan, seperti artikel, jadwal praktik dokter, dan pemesanan obat. Sepanjang penggunaan aplikasi tersebut, belum ada pembahasan mengenai efektifitas aplikasi tersebut sehingga Penggunaan metode User Experience Questionnaire (UEQ) dilakukan untuk mengevaluasi pengalaman pengguna dalam menggunakan SATUSEHAT. Hasil dari penelitian didapat Pengujian validitas sudah valid dengan nilai r hitung lebih besar dari r tabel yaitu rata-rata diatas 0.195, sedangkan hasil pengujian reliability didapatkan nilai Cronbach Alpha antara 0 dan 1 yaitu rata-rata 0.750 dan untuk perhitungan skala UEQ atribut tertinggi yaitu Daya Tarik (Attractiveness) memiliki skor mean 0,833 dan varians 1,34, sedangkan atribut terendah Kebaruan (Novelty) memiliki mean 0,520 dan varians 1,26. Sehingga pada hasil menggunakan metode User Experience Questionare (UEQ) dari beberapa aspek ada tergolong nilainya paling rendah diantara nilai aspek lainnya yaitu aspek Kebaruan (Novelty), maka perlu adanya evaluasi pada aspek kebaruan demi meningkatkan dan kenyamanan kepuasan pengguna. Selain itu, metode UEQ juga dapat digunakan untuk mengevaluasi pengalaman pengguna dalam aplikasi Kesehatan lainnya, sehingga penggunaan metode ini memiliki potensi yang luas dalam bidang pengembangan aplikasi berbasis Kesehatan.

ANALISIS SYN FLOOD ATTACK MENGGUNAKAN METODE NIST 800-61 REV 2 PADA SECURITY INFORMATION AND EVENT MANAGEMENT (SIEM) Khofifah Indar Parawansa; Acmad Nurhadi
INFORMATIKA SAINS TEKNOLOGI Vol 2 No 1 (2024): Jurnal insit Vol 2 No 1 Tahun 2024
Publisher : Fakultas Sains Dan Teknologi Universitas Islam Asyafiiyah

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

Meningkatnya ancaman siber dapat mengakibatkan kebocoran data pribadi, pencurian identitas, penyebaran virus atau malware, hingga serangan siber yang dapat merusak sistem dan infrastruktur yang krusial bagi organisasi. Salah satunya adalah serangan SYN Flood. SYN Flood adalah salah satu jenis metode serangan Denial of Service (DOS) yang mempengaruhi host yang menjalankan proses server TCP (Transmission Control Protocol). Karena bahayanya berbagai serangan siber dan meningkatnya kebutuhan keamanan informasi, dibutuhkan Security Information and Event Management (SIEM) untuk memonitoring serangan-serangan tersebut. Penelitian ini memiliki tujuan untuk menganalisis syn flood attack pada Security Information and Event Management (SIEM). Penelitian ini menggunakan metode NIST 800-61. Didapatkan hasil bahwa syn flood attack yang terdeteksi adalah critical berdasarkan flood event yang diinformasikan oleh SIEM. Berdasarkan data tersebut, Tim SOC Analyst memutuskan untuk mereport serangan tersebut kepada klien yang bersangkutan. Mitigasi yang dapat dilakukan dari serangan tersebut adalah menggunakan firewall, mengatur timeout yang lebih singkat untuk menutup koneksi yang tidak aktif, menggunakan layanan penyedia Content Delivery Network (CDN) atau penyedia yang berspesialisasi dalam pencegahan DoS untuk menyaring lalu lintas menuju ke layanan tertentu.

ANALISIS SENTIMEN APLIKASI TIKTOK SHOP SELLER CENTER MENGGUNAKAN NAIVE BAYES, SVM DAN LOGISTIC REGRESSION Indrayuni, Elly; Acmad Nurhadi
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6851

The rapid growth of e-commerce has driven the emergence of new platforms such as TikTok Shop Seller Center, which is now integrated with Tokopedia. Increasing competition among digital platforms has made service quality and user experience key success factors. In this context, user reviews and feedback serve as crucial data sources that reflect satisfaction, complaints, and expectations toward the application. However, the large and diverse volume of reviews renders manual analysis inefficient. Therefore, an automated approach such as sentiment analysis is required to classify user opinions quickly and accurately. This study aims to perform sentiment analysis on TikTok Shop Seller Center user reviews using Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression algorithms to determine the best-performing model. The dataset was obtained from the Kaggle platform and underwent preprocessing, including case folding, tokenization, stemming, and TF-IDF weighting. Model evaluation was conducted using confusion matrix and ROC curve, along with performance metrics such as accuracy, precision, recall, and F1-score. The results show that the SVM algorithm outperformed Naïve Bayes and Logistic Regression, achieving 93.75% accuracy, 93.78% precision, 95.65% recall, 94.70% F1-score, and an AUC of 0.98, categorized as Excellent Classification. Thus, SVM proved to be the most effective algorithm for classifying user review sentiments on TikTok Shop Seller Center.

Co-Authors Anna Mukhayaroh, Anna Diah Puspitasari Difa Afnan Ramadhan Dinar Ajeng Kristiyanti Elly Indrayuni Khofifah Indar Parawansa Khotibul Umam Ramadhan, Difa Afnan Ricki Sastra Sahirudin, Ahmad Yunita, Norma

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