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All Journal Proceedings of KNASTIK Jurnal Ilmu Komputer dan Agri-Informatika JPSriwijaya JOIV : International Journal on Informatics Visualization Jurnal Teknoinfo MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Krea-TIF: Jurnal Teknik Informatika Journal of Science Innovare Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika IJEEIT : International Journal of Electrical Engineering and Information Technology Building of Informatics, Technology and Science Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) JTIK (Jurnal Teknik Informatika Kaputama) Journal Social Science And Technology For Community Service Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) BEES: Bulletin of Electrical and Electronics Engineering Jurnal Aplikasi Bisnis dan Komputer J-Icon : Jurnal Komputer dan Informatika Bulletin of Informatics and Data Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Artificial Intelligence and Technology Information JIPETIK:Jurnal Ilmiah Penelitian Teknologi Informasi & Komputer Prosiding SeNTIK STI&K
Sufiatul Maryana
Universitas Pakuan
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Search Of Favorite Books As A Visitor Recommendation of The Fmipa Library Using CT-Pro Algorithm Sufiatul Maryana; Lita Karlitasari
Journal of Science Innovare Vol 1, No 1 (2018): Journal of Science Innovare, Volume 01 Number 01 2018
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jsi.v1i01.677

Abstract

The library of Faculty of Mathematics and Natural Science (FMIPA) has a collection of books and other print media, total of 2,678 books with 7237 visitors and 2148 borrowers. The available book search system was very helpful for visitors to find the required books. Especially if the system has features recommended of books. In the provision of book recommendations used one of the data mining techniques, namely association rule mining techniques or excavation of association rules. In the development of this recommendation system, KDD (Knowledge Discovery from Database) model was used. The data used was the transaction history of borrowing book with the category of "chemistry", for the last 5 (five) months, that is September 2014 - February 2015. The excavation technique of this association rule has 2 (two) main process, they are: frequent patterns and rules. To find frequent patterns, a CT-PRO algorithm was used. The minimum value of support used was 1 and 2. Once the pattern is found, the confidence value of each pattern was calculated. The minimum value of confidence used ranges from 10% to 100%. The recommendation rule was based on calculating the value of this confidence. The comparison of minimum support values indicates that the greater value of minimum support then the less borrowing pattern was generated, and vice versa. The comparison of minimum confidence value shows that the greater of minimum confidence value then the less recommended rule given.. Keywords: Library, Recommended System, Knowledge Discovery from Database (KDD), Association Rule Mining, CT-PRO Algorithm
PEMANFAATAN KOMPUTERISASI APARAT DESA DI KABUPATEN BOGOR Sufiatul Maryana; Lita Karlitasari; Agung Prajuhana Putra
Jurnal Pengabdian Sriwijaya Vol 11, No 1 (2023)
Publisher : Lembaga Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37061/jps.v11i1.3773

Abstract

Kehidupan masyarakat yang mengalami banyak perubahan menuntut hadirnya aparat desa yang mampu memenuhi berbagai tuntutan kebutuhan dalam segala aspek kebutuhan masyarakat, terutama dalam mendapatkan pelayanan yang cepat dan sebaik-baiknya. Berdasarkan kunjungan ke Desa Bantarjaya dan Desa Cimulang Kecamatan Rancabungur Kabupaten Bogor diidentifikasi permasalahan : mayoritas aparat desa hanya mengetahui komputer tetapi tidak dapat memahami fungsi pengolahan data, pengolahan data yang dilakukan selama ini sebagian besar masih menggunakan metode pencatatan langsung pada buku, manajemen file yang masih tidak teratur, pembuatan laporan data penduduk masih berupa data yang diperoleh dari catatan kegiatan kelurahan, dan banyaknya jenis informasi yang harus dimiliki oleh aparat desa, sehingga mengakibatkan kesulitan dalam penataan informasi yang tepat dan benar. Ada pun pelatihan yang dilakukan adalah Pembelajaran Komputer melalui Pengelompokan file-file dalam bentuk folder yang disusun sesuai dengan kategori masing-masing, Pengolahan Data menggunakan komputer melalui program aplikasi Microsoft Word, Microsoft Access dan Microsoft Excel, Penyusunan laporan dalam bentuk print out, dan Penataan kembali informasi apa saja yang harus dimiliki oleh aparat desa.
EKSTRAKSI CITRA MENGGUNAKAN METODE LAPLACIAN DAN SVM (SUPPORT VECTOR MACHINE) UNTUK IDENTIFIKASI JENIS TANAMAN PAKU BERDASARKAN CITRA SPORA Sufiatul Maryana; Herfina Herfina; Arie Qurania; Herlinda Herlinda
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2579

Abstract

Spores are a breeding tool for ferns (Pteridophyta) which are generally found under the surface of each leaf. Research on the characteristics of Pteridophyta spores is generally done by observing their size and shape to see the type of spore. The method that will be carried out in this study requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. This paper discusses image extraction for fern identification based on spore images using the Laplacian method and SVM. Laplacian method is used to extract features from spore images, while SVM is used to classify ferns. This method requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. The purpose of this research is to make Support Vector Machine (SVM) modeling to identify fern species based on spore images in Eigen space. The data used are spore images with four classes, each of which has 24 data per class with a total of 96 images. The method used in this research is Laplacian method for feature extraction and SVM for data classification using Gaussian RBF and Polynomial kernel function experiments. The result of this research is the accuracy of each extraction that has been tried. The best result lies in the RBF kernel function with 70% feature extraction and 10 parameters with an accuracy of 98.96%.
Seleksi Penerimaan Staff Admin Gudang Menggunakan Metode Preference Selection Index (PSI) Yunita Rahma; Sufiatul Maryana
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 4 (2023): Volume 1 Number 4 December 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i4.85

Abstract

Selection of warehouse admin staff is a crucial process in ensuring operational sustainability and warehouse management efficiency. The application of the Decision Support System (DSS) in the selection process for warehouse admin staff recruitment can provide significant benefits in increasing the efficiency and accuracy of the process. With the application of the PSI method in the recruitment of warehouse admin staff, it can help companies provide recommendations for selection results by applying a decision support system model. The ranking results using the PSI method recommend the first place with a final value of 0.882 obtained by Haris, the second place with a final value of 0.842 obtained by Budiman, and the third place with a final value of 0.800 obtained by Handoyo.
LAYANAN PENGADUAN KERUSAKAN PENERANGAN JALAN UMUM MENGGUNAKAN KODE QR DAN CHAT OTOMATIS DINAS PERHUBUNGAN Hamzah, Rizki Maulana; Maryana, Sufiatul; Anggraeni, Irma
J-Icon : Jurnal Komputer dan Informatika Vol 12 No 1 (2024): Maret 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v12i1.9813

Abstract

This research was motivated by observation data which showed results regarding difficulties in receiving complaints from the public, especially regarding damage to Public Street Lighting (PJU). The method used was direct observation at the research site using the SDLC (System Development Life Cycle) model with 6 stages of the SDLC model. that is; Planning, System Analysis, System Design, Implementation, Testing, Validation and Maintenance. In its development, this research used the Google spreadsheet application to create worksheets electronically and Gmail to manage messages electronically. This service has several benefits, including helping in inputting data for reports or public complaints, minimizing the risk of data loss and saving time, as well as making it easier to access information quickly. The results of the research obtained are to create a PJU damage complaint service using QR codes and automatic chatbots to simplify the complaint process and as a medium for complaints as a means of information and cooperation with the public if there is damage to traffic facilities, especially Public Street Lighting (PJU). Trials were carried out at 10 (ten) pole points in different regions, 5 poles in Jasinga and 5 poles in the Jonggol area, their function was to find out whether this complaint service was running well or not. The results of trials carried out in 2 different areas of this complaint service can function well.
Modification of Multi-Attribute Utility Theory in Determining Scholarship Recipient Students Arshad, Muhammad Waqas; Setiawansyah, Setiawansyah; Rahmanto, Yuri; Palupiningsih, Pritasari; Maryana, Sufiatul
BEES: Bulletin of Electrical and Electronics Engineering Vol 5 No 1 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v5i1.5523

Abstract

Educational scholarships are financial aid given to students or students to support the financing of their education. Mistakes in the assessment of scholarship recipients are often related to subjectivity and lack of transparency in the selection process. Unclear or inconsistent assessment criteria can lead to unfairness, where some deserving candidates may not get the same opportunities. The number of data used in Determining Scholarship Recipient Students is 10 students. The purpose of the MAUT modification research with geometric mean in producing criterion weights is to improve accuracy, stability, and consistency in the decision-making process. This study also aims to test the effectiveness of the geometric mean method in producing more objective and structured weights, as well as compare it with other traditional MAUT methods such as direct addition or multiplication. The modification of the MAUT method with a geometric mean is named G-MAUT. The results of the ranking of scholarship recipients using the G-MAUT method the first-place scholarship recipient with a final score of 1.0048 was obtained by Student 3, the second-place scholarship recipient with a final score of 0.6260 was obtained by Student 8, and the third-place scholarship recipient with a final score of 0.5048 was obtained by Student 5. This modification under the name G-MAUT allows for a more holistic and comprehensive assessment of potential recipients, ensuring that non-academic aspects are also taken into account proportionately.
SISTEM MONITORING NETWORK MENGGUNAKAN ZABBIX PADA LINUX UBUNTU Zebua, Mitra Darma; Maryana, Sufiatul; Wahyuni, Yuli
Jurnal Aplikasi Bisnis dan Komputer Vol 4, No 2 (2024): Jurnal Aplikasi Bisnis dan Komputer
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jubikom.v4i2.10177

Abstract

ABSTRAK Salah satu strategi utama untuk menjaga stabilitas jaringan yang ideal adalah dengan mewaspadai permasalahan sistem dan jaringan. Diharapkan setiap permasalahan yang timbul dari pemantauan dapat diselesaikan dengan cepat dan mudah oleh administrator jaringan. Penelitian ini bertujuan untuk menyiapkan sistem monitoring jaringan berbasis Zabbix pada komputer Ubuntu Linux. Studi ini menggunakan pendekatan Network Development Life Cycle (NDLC), yang menjelaskan langkah- langkah yang diperlukan dalam membangun atau meningkatkan sistem jaringan komputer dan menjelaskan berbagai tahapan dalam pembuatan sistem pemantauan jaringan. Temuan penelitian menunjukkan bahwa sistem pemantauan jaringan yang menggunakan server Zabbix dapat membantu administrator dalam mengintegrasikan jaringan dengan memberikan representasi grafis dari keadaan sumber daya jaringan yang terlihat pada halaman dashboard dan melalui peringatan email. Administrator juga dapat menyelesaikan masalah jaringan tanpa menunggu pemberitahuan dari individu atau organisasi yang mengalami masalah dengan jaringan komputer berkat sistem pemberitahuan email ini. Kata kunci: Jaringan,Email,Zabbix,Linux Ubuntu. ABSTRACT One of the main strategies for maintaining ideal network stability is to keep an eye on system and network problems. It is anticipated that any problems that emerge from the monitoring would be able to be quickly and readily resolved by the network administrator. This research aims to set up a Zabbix-based network monitoring system on an Ubuntu Linux computer. The study makes use of the Network Development Life Cycle (NDLC) approach, which describes the steps required in building or improving a computer network system and makes evident the different stages of creating a network monitoring system. The study's findings demonstrate that a network monitoring system that makes use of the Zabbix server can assist administrators in integrating networks by providing graphical representations of the state of network resources that are visible on the dashboard page and through email alerts. Administrators may also solve network issues without waiting for notifications from individuals or organizations having issues with the computer network thanks to this email notification system. Keywords: Network,Email,Zabbix,Linux Ubuntu.
DETEKSI KEMATANGAN BUAH TOMAT BERDASARKAN NILAI RGB (DETECTION OF TOMATO RIPENESS BASED ON RGB VALUES) Mubarok, Yasir Pahmi; Zuraiyah, Tjut Awaliyah; Maryana, Sufiatul
Jurnal Aplikasi Bisnis dan Komputer Vol 3, No 1 (2023): Jurnal Aplikasi Bisnis dan Komputer
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jubikom.v3i1.9324

Abstract

Komoditas pangan dalam kehidupan di masyarakat Janguranda banyak penghasilan yang diperoleh dari mayarakat yaitu berupa dari tanaman tomat. Tomat berasal dari keluarga Solanaceae dan berasal dari wilayahAmerika Tengah dan Selatan. Saat ini proses identifikasi pemilahan tomat berdasarkan warna dan ukuran masih dilakukan dengan cara manual. Cara ini memerlukan waktu yang lama dan menyebabkan kesalahan dalam penyortiran ukuran tomat. Penelitian ini mempunyai salah satu tujuan dasar yaitu dapatmengimplemntasikan sensor warna TCS 3200 dalam memverifikasi sebuah kematangan dari buad yang didasarkan pada warna buah tersebut. Diharapkan perangkat ini mampu mengotomatiskan penyortiran tahapankematangan buah setelah panen. Sistem ini berfungsi sebagai pengemudi dan pemilah buah. Sistem dikendalikan oleh motor DC. Pembuatan alat dibuat menggunakan metode mendeteksi sebuah kematangan dengan berdasarkan pengujian dari perangkat keras alat yang telah dibuat. Alat telah berhasil dalam mendeteksi warna dalam bentuk RGB yang mana buah telah dapat dideteksi kematangannya dengan melakukan kajian awal didalam sektor perkebunan.Kata kunci : TCS3200 color sensors, sorting, DC motors
APLIKASI HASIL OLAHAN PRODUKSI TANAMAN SINGKONG (CASSAVA) BERBASIS WEBSITE Oktaviani, Nabila Oktaviani; Maryana, Sufiatul; Utami, Dian Kartika
Jurnal Aplikasi Bisnis dan Komputer Vol 4, No 2 (2024): Jurnal Aplikasi Bisnis dan Komputer
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jubikom.v4i2.10167

Abstract

AbstrakSingkong merupakan produk pertanian yang tersebar luas di Indonesia sehingga sering disebut dengan pengganti nasi dan merupakan sumber karbohidrat penting setelah nasi dengan kandungan karbohidrat 34,7%. Namun kenyataannya, masih banyak masyarakat yang kurang memanfaatkan singkong sebagai sumber karbohidrat. Oleh karena itu diperlukan adanya informasi atau penyuluhan tentang pemanfaatan singkong agar dapat menjadi bahan pangan masyarakat yang bergizi tinggi dan bernilai ekonomi. Informasi yang berkaitan dengan pemanfaatan singkong sebagai sumber karbohidrat dan bahan pangan dapat diperoleh dari buku resep olahan, media sosial, dan website yang masih dilakukan secara manual atau informasi yang terpisah-pisah. Dengan memanfaatkan teknologi informasi dapat mempermudah masyarakat untuk mencari informasi olahan dan cara pembuatan tanaman singkong serta dapat membeli hasil olahan tanaman singkong melalui website. Penelitian ini dilakukan dengan tujuan untuk membangun aplikasi hasil produksi tanaman singkong (Cassava) berbasis website. Metode penelitian yang digunakan adalah metode SDLC. Sistem ini dibuat dengan menggunakan Software Visual Studio Code sebagai text editor, bahasa pemrograman menggunakan PHP dan MySQL sebagai database. Dengan adanya aplikasi ini dapat membantu memudahkan masyarakat atau konsumen mendapatkan informasi tentang hasil produksi singkong, olahan singkong dan cara pembuatannya serta bisa membeli hasil olahan dari tanaman singkong dalam satu sumber atau website.Kata kunci: Aplikasi, Website, Singkong, SDLC  AbstractCassava is an agricultural product that is widespread in Indonesia, so it is often called a substitute for rice and is an important source of carbohydrates after rice with a carbohydrate content of 34.7%. However, in reality, there are still many people who do not use cassava as a source of carbohydrates. Therefore, it is necessary to provide information or counseling about the use of cassava so that it can become a food ingredient for the community that is highly nutritious and has economic value. Information related to the use of cassava as a source of carbohydrates and food ingredients can be obtained from processed recipe books, social media, and websites which are still done manually or provide separate information. By utilizing information technology, it can make it easier for people to find information on processing and how to make cassava plants and can buy processed cassava plant products via the website. This research was carried out with the aim of developing a website-based application for cassava (Cassava) production. The research method used is the SDLC method. This system was created using Visual Studio Code software as a text editor, programming language using PHP and MySQL as a database. This application can help make it easier for the public or consumers to get information about cassava production, processed cassava and how to make it and can buy processed products from cassava plants in one source or website.Keywords: 3-5 keywords separated by commas
The Decision Support System Uses the Preference Selection Index Method in Determining Healthy Cooperatives Sulistiani, Heni; Maryana, Sufiatul; Palupiningsih, Pritasari; Mehta, Abhishek
Bulletin of Informatics and Data Science Vol 2, No 2 (2023): November 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v2i2.72

Abstract

Determining a healthy cooperative is a challenge that requires attention to several key aspects. Effective management, stable finances, active member involvement, and compliance with laws and regulations are key factors to be considered. By paying attention to all these factors and taking appropriate action, the cooperative can achieve optimal health levels and make a significant contribution to its members as well as the surrounding community. This study aims to determine healthy cooperatives using the Preference Selection Index (PSI) method in determining the best healthy cooperatives using the criteria of Capital, Quality of Productive Assets, Management, Efficiency, Liquidity, Independence, and Cooperative Identity so that the results of the best healthy cooperative ranking recommendations will be able to become recommendations for a decision. Based on the results of the calculation of the final value and ranking of the best healthy cooperatives using the PSI method, rank 1 is Koperasi-02 with a final value of 0.10737, rank 2 is Koperasi-01 with a final value of 0.10029, rank 3 is Koperasi-03 with a final value of 0.05223, rank 4 is Koperasi-04 with a final value of 0.0107. The results of testing using blackbox testing that has been carried out obtained the results of the number of answers from respondents have a value of 100% in accordance with testing the functionality of the system using blackbox testing
Co-Authors Abdat, Misel Umar Agung Prajuhana Putra Agung Prajuhana Putra Agung Prajuhana Putra Alfiansyah Alfiansyah Andi Mulyono Anggraeni, Ade Irma Arie Arie Qur’ania Arshad, Muhammad Waqas Asep Kohar Benny Nofika Benny Rachman Chandra, Iryanto Dian Kartika Utami Dieke Aprianto Edi Santosa Eneng Tita Tosida Fani Susanti Hamzah, Rizki Maulana Heni Sulistiani Herfina Herfina Herlinda Herlinda Hermawan Hermawan Hifshan Riesvicky Iyan Mulyana Kamel Mahdi Lita Karlitasari Lita Karlitasari Mehta, Abhishek Mubarok, Yasir Pahmi mulyono, andi Mutiara Prihatini Nofika, Benny Oktaviani, Nabila Oktaviani Palupiningsih, Pritasari Prajuhana Putra, Agung Putri Dwi Lestari Rahma, Yunita Reno Cahyo Hutomo Setiawan, Andrian Setiawansyah Setiawansyah Sitna Hajar Hadad Soewarto Hardhienata Sri Wahjuni Sudrajat, Cecep Suriansyah, Muhammad Iqbal Tjut Awaliyah Zuraiyah Yudhia Mulya Yuli Wahyuni Yuri Rahmanto Zebua, Mitra Darma Zolla Zolla