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All Journal Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Infotek : Jurnal Informatika dan Teknologi Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Computer Science (CO-SCIENCE) Indonesian Journal Computer Science (ijcs) Jurnal Aruna Mengabdi (ARMI)
Ahmad Fauzi
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Attendance Mobile Application With Face Recognition and Detect Location Andika Bayu Hasta Yanto; Ahmad Fauzi; Novita Indriyani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2187

Abstract

Every company must have an attendance policy for each of its employees for the purpose of employee attendance and performance reports in the performance of their work, but currently there are still many companies that still have an absence system that is not computerized, so the calculation and accounting process is still done manually, because everything is calculated manually, it is possible that there are errors in the calculations and take time to process data absence of all employees. Therefore, an application that can automatically process and record data is needed to avoid errors and speed up the data processing process. In addition, the application can facilitate employees' attendance as it can be accessed directly from cell phones by using facial recognition and location detection to prove the attendance of employees.
Aplikasi Perhitungan Laba Penjualan Dan Beban Pada Caffee Konco Pontianak Ahmad Fauzi; Reza Arviandy
Indonesian Journal Computer Science Vol. 1 No. 1 (2022): April 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.825 KB) | DOI: 10.31294/ijcs.v1i1.1125

Abstract

Perkembangan teknologi mengakibatkannya penerapan teknologi terkomputer ke berbagai transaksi, Penerapan sistem informasi atau sistem terkomputer dalam mengelola dan menghitung keuntungan secara terkomputerisasi memberikan berbagai keuntungan seperti perhitungan lebih sistematis, lebih cepat, data transaksi pun tersimpan lebih aman, Caffee Konco Pontianak merupakan salah satu usaha dibidang penjualan, dimana minuman kopi dan variasi menu lainnya adalah produk yang ditawarkan oleh kalangan anak muda. Caffe Konco Pontianak setiap harinya bisa dikunjungi hingga 80 pelanggan, dengan membeli berbagai variasi menu. pengelolaan pencatatan laba atau keuntungan penjulan, caffee ini masih menghitung secara manual yaitu mencatat jumlah menu yang terjual kemudian dikurangi dengan beban yang diperlukan. Akibat pengelolaan laba yang masih manual atau menggunakan media kertas sebagai media catat, sering kali pemilik caffee mendapatkan permasalahan seperti karyawan yang lupa mencatat transaksi, kesalahan dalam menghitung, kertas yang rusak hingga buku yang hilang. Oleh sebab itu penelitian ini bertujuan untuk membuat sebuah sistem informasi perhitungan laba penjualan dan beban untuk Caffee Konco Pontianak.
Sistem Informasi Kasir Berbasis Website Pada Toko A-HA Emporio Bakery Kota Tegal Ahmad Fauzi; Muhammad Faittullah Akbar; Uci Wulandari; Akhmad Syukron
Indonesian Journal Computer Science Vol. 1 No. 2 (2022): Oktober 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.344 KB) | DOI: 10.31294/ijcs.v1i2.1486

Abstract

Dalam era sekarang ini, teknologi informasi melaju dengan cepatnya. Dalam mengelola informasi dibutuhkan teknologi yang baik karena informasi mempunyai nilai yang besar bagi suatu perusahaan. Perkembangan teknologi computer disaat sekarang ini dengan kecepatan akses internet yang semakin canggih telah memungkinkan pengembangan sistem informasi berbasis komputer. Masalah yang ada pada A-Ha Emporio Bakery yaitu mengenai pengolahan data-datanya yang masih dilakukan secara manual, mulai dari proses manajemen stok, data member, kerancuan data ketersediaan roti apabila ada perpindahan roti yang di lakukan oleh outlet cabang, sering tidak adanya kecocokan stok antara data dengan ketersediaan aslinya, Pengiriman laporan ke pusat hanya mengandalkan kamera handphone agar laporan dapat tersampaikan dengan cepat serta dalam membuat laporan yang masih menggunakan microsoft excel. Perancangan sistem digambarkan dengan pemodelan UML, sistem informasi kasir pada A-Ha Emporio Bakery berbasis web intranet ini merupakan solusi yang terbaik, dapat meningkatkan kualitas pengolahan data roti di A-Ha Emporio Bakery. Dengan dibuatnya sistem informasi kasir berbasis website, dapat membantu mempermudah pengolahan data dengan maksimal, sekaligus menjaga data tetap aman dan meminimalisir adanya kerangkapan data. Perancangan sistem informasi kasir berbasis website ini dibuat menggunakan Bahasa pemograman  PHP dan MySQL.  
Application Of Simple Additive Weighting (SAW) For The Selection Of Breast Milk Pumps For Working Mothers Novita Indriyani; Ahmad Fauzi; Andika Bayu Hasta Yanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2626

Abstract

Optimal breastfeeding is very important because it can save more than 800,000 lives of children under five every year. Among the many reasons why mothers do not exclusively breastfeed is that they go back to work (22.5%). Homemakers have a greater chance of exclusively breastfeeding because they spend more time with the baby, allowing them to breastfeed optimally. Based on the results of previous studies, working mothers give breast milk directly (when they are at home or resting) and give milk from milk. Using a breast pump is considered more practical, easier and saves time. The breastpump method (MPA) for exclusive breastfeeding for working mothers also does not interfere with the work process and offers flexibility in working hours. What worries women who work while breastfeeding is maintaining breast milk production during working hours. However, according to research, there is no significant difference between the effectiveness and satisfaction of breast milk production when using an electric breast pump. The use of a breast pump does not affect the amount of breast milk produced, even though an electric breast pump provides more effectiveness and satisfaction in expressing breast milk. This study aims to select the type of breast pump for working mothers to facilitate exclusive breastfeeding of the baby. The result of the calculation of SAW method resulted in a recommendation for a breast pump Moom Uung with a value of 15.67 The result of the calculation of SAW method resulting in a recommendation for a breast pump Moom Uung with a value of 15.67.
Pengembangan Aplikasi E-learning dengan Metode Rapid Application Development Ahmad Fauzi; Ginabila Ginabila; Mochammad Abdul Azis
Infotek: Jurnal Informatika dan Teknologi Vol 6, No 1 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i1.7414

Abstract

The development of the E-learning application is part of the solution for convenience in carrying out teaching and learning activities, the process of receiving and sending a digital document in the form of learning videos and ebooks is the most important part so that information can be accessed quickly and easily. Special methods are needed to build e-learning applications more quickly and according to needs. Requirements Planning plays a very important role in the software development process, project management in software development and one of the processes is to estimate that the software produced is according to a predetermined schedule and cost. The Rapid Application Development Method is a life cycle strategy aimed at To provide development that is much faster and get results with better quality, UML (Unified Modeling Language) is a language that has become a decent standard in designing, visualizing and documenting software.
IMPLEMENTATION OF MULTI-CLASS GRADIENT BOOSTING TO CLASSIFY ANIMAL SPECIES IN ZOOS: IMPLEMENTASI MULTI-CLASS GRADIENT BOOSTING UNTUK MENGKLASIFIKASIKAN JENIS HEWAN PADA KEBUN BINATANG Sri Diantika; Hiya Nalatissifa; Riki Supriyadi; Nurlaelatul Maulidah; Ahmad Fauzi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.2812

Abstract

Animals are one of the living things that have various types. Grouping types of animals based on similarities and differences in characteristics owned is one of the important activities carried out To make it easier to compare, recognize, study certain types of animals and be able to find out kinship relationships between animals, So if a new type of animal is found that does not yet have a name, it will be easier for us to give a name to the animal based on the type and based on the group. In research on the classification of animal species in zoos that have multi-class, the best classification is obtained by applying gradient boosting parameters with n_estimators of 50, max_depth 3, sub-sample of 1.0, learning rate of 0.1, and using criterion friedman Mse. And by implementing Split validation or division between training data by 80% for training data and 20% for testing data. The results stated that the proposed model was better than some other models that had also been tested with an accuracy value of 93.75%, recal of 94%, precision of 96% and MSE to measure the average magnitude of error in a series of classifications of 12.5%, the smaller the MSE value, the better it would be in classifying.
Implementation of Data Mining of Organic Vegetable Sales With Apriori Algorithm Ahmad Fauzi; Andika Bayu Hasta Yanto; Novita Indriyani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 6 No 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3049

Abstract

In the modern organic vegetable sector, the author observes that there is very tight business competition. Therefore, an effective approach is essential to attract buyers, although restricted sources of new information are one of the hurdles in establishing this business.Association rules are expressed with numerous features that are commonly referred to as (affinity analysis) or (market basket analysis. It was discovered that if consumers buy curly red chilies, they are also inclined to buy cayenne pepper with a 100% confidence level. Likewise, if people buy kale and red curly chiles, they are more likely to buy cayenne pepper with a 100% confidence level. This also applies if consumers buy tomatoes and curly red chilies with a 100% confidence level. In addition, other associations were also observed, such as if consumers buy curly red chilies, they prefer to buy tomatoes with a confidence level of 86%, or if they buy tomatoes and bird's eye chilies, they tend to buy curly red chiles with an 86% confidence level.Likewise, if people buy both cayenne pepper and red curly chili, they are more likely to buy tomatoes with an 86% confidence level. Finally, if customers buy kale and cayenne pepper, they are also likely to buy red curly chilies at an 83% confidence level. Based on the data acquired from this study, it is intended to obtain information about combinations of organic veggies that consumers typically buy together in each transaction, with the intention of improving organic vegetable yields and devising appropriate sales tactics.
Application of Waterfall Method In Design Of Web-Based Library Information System Program Case Study at Elementary School Warungnangka Kabupaten Subang Muhammad Faittullah Akbar; Ahmad Fauzi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 6 No 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3065

Abstract

Management of an effective and representative library information system is a necessity for educational units to use a library information system design not only as a requirement but also as a necessity. Elementary School Warungnangka Kabupaten Subang is the focus of research on building a web-based library information system. The data collection methods used are observation, interviews, and case studies. It can be concluded that library management is still not computerized. The design of this information system is carried out using the waterfall method, with the stages of needs analysis, design, implementation of program code using CodeIgniter, and testing using Blackbox so that all processes are running well and as needed. With this library information system, it can simplify the process of borrowing and returning books, speed up library reports, and create added value for the School Accreditation Visitation Program (BAN SM) and School Quality Fulfillment Program (ANBK). This information system will later be able to make information system updates that have been implemented previously, namely the library information system, which is still manual, into a computerized information system.
Pelatihan Google Spreadsheet Untuk Mempermudah Pekerjaan Bagi PKK Kelurahan Paledang Risa Wati; Ahmad Fauzi; Imam Nawawi; Hilda Rachmi; Silvy Nur Azizah
Jurnal Aruna Mengabdi Vol. 1 No. 1 (2023): Periode Mei 2023
Publisher : Lotus Aruna Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61398/armi.v1i1.4

Abstract

Di Kecamatan Bogor Tengah, Kota Bogor terdapat Kelurahan Paledang. Salah satu kegiatan kelompok Ibu-ibu PKK di Kelurahan Paledang adalah melakukan sensus terhadap jenis pekerjaan seluruh warga Kelurahan Paledang. Pengolahan data masih dilakukan secara manual yang memakan waktu lama dan kurang efisien. Oleh karena itu, diperlukan kegiatan Pengabdian kepada Masyarakat. Kegiatan ini bertujuan untuk membantu kelompok Ibu-ibu PKK di Kelurahan Paledang dalam pengolahan data menggunakan Microsoft Excel melalui Google Spreadsheet melalui media handphone, sehingga pengolahan data dapat dilakukan oleh siapa saja, kapan saja, dan di mana saja, sambil tetap menjaga kerahasiaan informasi. Pengabdian masyarakat dilaksanakan dengan cara penyampaian materi secara langsung dan memberikan pelatihan dalam penggunaan Google Spreadsheet
Analisis Sentimen Terhadap Pemutar Musik Online Spotify Dengan Algoritma Naive Bayes dan Support Vector Machine Ginabila Ginabila; Ahmad Fauzi
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 6, No 2 (2023): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v6i2.180

Abstract

Abstrak: Manusia memiliki kebutuhan preferensi musik yang yang sangat beragam, oleh karena itu pemutar musik online menjadi salah satu solusi untuk memenuhi kebutuhan ini dengan menyediakan katalog musik yang luas. Analisis sentimen adalah proses untuk mengevaluasi dan mengklasifikasikan sentimen atau perasaan di balik teks atau data yang diberikan. Dalam konteks ini, analisis sentimen dilakukan pada pemutar musik online Spotify. Dua algoritma yang umum digunakan untuk analisis sentimen adalah Naive Bayes dan Support Vector Machine (SVM). Kedua algoritma ini dapat diterapkan dalam analisis sentimen pada pemutar musik online. Data teks seperti ulasan atau komentar pengguna dikumpulkan dan dilabeli dengan sentimen yang sesuai. Hasil dari penelitian menggunakan kedua algoritma ini menghasilkan nilai akurasi yang hampir sama baiknya. Algoritma Support Vector Machine menghasilkan tingkat akurasi sebesar 82,42%, sedangkan untuk Algoritma Naive Bayes mencapai 84,73%.Kata kunci: Analisis Sentimen, Naive Bayes, Support Vector MachineAbstract: Humans have diverse music preferences and online music players are a solution to meet these needs by providing a wide music catalog. Sentiment analysis is the process of evaluating and classifying sentiments or feelings behind given texts or data. In this context, sentiment analysis is performed on Spotify online music players. Two common algorithms used for sentiment analysis are Naive Bayes and Support Vector Machine (SVM). Both algorithms can be applied in sentiment analysis for online music players. Text data such as user reviews or comments are collected and labeled with corresponding sentiments. The results of the research using both algorithms yielded similar high accuracy. The Support Vector Machine algorithm achieved an accuracy rate of 82.42%, while the Naive Bayes algorithm reached 84.73%.Keywords: Sentiment Analysis, Naive Bayes, Support Vector Machine
Co-Authors Akhmad Syukron Andika Bayu Hasta Yanto Aziz Setyawan Hidayat Erniawati Erniawati Febri Ainun Jariyah Galih Setyawan Nurohim Ginabila Ginabila Heribertus Ary Setyadi Hilda Rachmi Hiya Nalatissifa Imam Nawawi Mochammad Abdul Azis Muhammad Faittullah Akbar Novita Indriyani Nurlaelatul Maulidah Pas Mahyu Akhirianto Reza Arviandy Riki Supriyadi Risa Wati - AMIK BSI Tasikmalaya Risa Wati - AMIK BSI Tasikmalaya Safitri Linawati Silvy Nur Azizah Sri Diantika Taufik Hidayatulloh Uci Wulandari Wandy Ubleeuw Wawan Nugroho