Journal of Students‘ Research in Computer Science最新文献

{"title":"Perancangan Program Inventory Barang Bangunan Berbasis Web","authors":"N. Afni, Anus Wuryanto, Indhah Pujihastuti","doi":"10.31599/jsrcs.v3i2.1545","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i2.1545","url":null,"abstract":"Barokah Jaya Group merupakan sebuah usaha yang bergerak dalam bidang perdagangan dengan kegiatan operasionalnya menjual barang-barang bangunan. Inventory barang berperan sangat penting dalam pengelolaan persediaan barang yang ada di gudang, memiliki masalah dalam pengelolaan persediaan barang karena masih menggunakan sistem manual. Sering terjadi saat pengecekan barang serta kekeliruan pencatatan laporan barang masuk maupun keluar. Perlu suatu Aplikasi berbasis web sebagai solusi dari permasalahan yang ada dengan menggunakan bahasa pemrograman PHP dan codeigniter sebagai framework. Untuk menjalankan web server penulis menggunakan XAMPP. Hasilnya, pemilik toko bisa mengecek ketersediaan barang tanpa harus pergi ke gudang serta mengelola barang masuk maupun keluar dengan menginputkan data barang ke dalam aplikasi yang penulis buat, sehingga hasil yang didapatkan lebih cepat dan akurat.","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metode Profile Matching Dalam Mendukung Keputusan Perpanjangan Asisten Dosen","authors":"Martini, Nani Agustina, Entin Sutinah","doi":"10.31599/jsrcs.v3i2.1779","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i2.1779","url":null,"abstract":"Lecturer assistants are apprentice students whose job is to assist lecturers in teaching and learning activities in class. There are 10 students who are doing internships as teaching assistants. At the end of each semester the Training Division in a university conducts an evaluation of the assessment of students who are apprentices as teaching assistants. However, currently the training department has not yet found the right method for making decisions to determine teaching assistants who deserve to be extended for internships in the following semester. Currently, decision making is based on an assessment of the ability to explain the material when the lecturer concerned is unable to attend, although there are still many assessment criteria that can be considered in decision making. To solve this problem, this study adopts a method in making decisions on the extension of teaching assistants by using the Profile Matching method which includes several assessment criteria including attendance, neatness of dress, loyalty, work performance, responsibility, obedience, honesty, cooperation, initiative and leadership. From this criterion, it will be included in the Core Factor and Secondary Factor with the criteria of very good, good, pretty good, not good and very bad scores, so that in this research a decision was made to extend teaching assistants in the following semester, namely by choosing 4 teaching assistants who each has the following assessment results: AST9 with a value of 4.9, AST10 with a value of 4.8, AST1 with a value of 4.4 and AST8 with a value of 4.4.\u0000Keywords: Assistant Performance, Decision, Matching Profile\u0000 \u0000Abstrak\u0000 Asisten dosen merupakan mahasiswa magang yang tugasnya membantu dosen dalam kegiatan belajar mengajar di kelas. Terdapat 10 orang mahasiswa yang sedang magang menjadi asisten dosen. Pada setiap akhir semester bagian pelatihan yang terdapat dalam suatu Universitas mengadakan evaluasi penilaian terhadap mahasiswa yang magang sebagai asisten dosen. Namun saat ini bagian pelatihan masih belum menemukan metode yang tepat dalam melakukan pengambilan keputusan untuk menentukan asisten dosen yang layak diperpanjang untuk magang di semester berikutnya. Saat ini pengambilan keputusan berdasarkan penilaian dari kemampuan menjelaskan materi pada saat dosen yang bersangkutan berhalangan hadir, walaupun masih banyak kriteria penilaian yang dapat menjadi pertimbangan dalam pengambilan keputusan. Untuk memecahkan masalah tersebut, penelitian ini mengambil metode dalam pengambilan keputusan perpanjangan asisten dosen dengan menggunakan metode Profile Matching yang meliputi beberapa kriteria penilaian diantaranya Absensi, Kerapihan berpakaian, Kesetiaan, Prestasi Kerja, Tanggung Jawab, Ketaatan, Kejujuran, Kerjasama, bPrakarsa dan Kepemimpinan. Dari kriteria ini akan dimasukkan ke dalam Core Factor dan Secondary Factor dengan keriteria nilai sangat baik, baik, cukup baik, kurang baik dan sangat kurang baik, sehingga dalam penelitam ini d","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128256797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RANCANGAN APLIKASI PORTAL MEDIA SOSIAL SEBAGAI ANALISIS SENTIMEN PUBLIK MENGGUNAKAN MACHINE LEARNING DENGAN ALGORITMA NAIVE BAYES","authors":"Raihan Ramadhan Juandri, R. W. Pamungkas, Ahmad Fathurrozi","doi":"10.31599/jsrcs.v3i2.1760","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i2.1760","url":null,"abstract":"Banyak organisasi atau instansi di Indonesia yang memiliki beberapa akun dari berbagai kanal media sosial seperti YouTube, Facebook, Twitter, dan Instagram yang ditujukan sebagai sarana pengaduan mengenai produk atau layanan yang mereka miliki. Semakin berkembangnya teknologi informasi, media sosial terus bertambah dan mengharuskan suatu organisasi untuk membuat akun di kanal-kanal tersebut agar dapat terus terhubung dengan masyarakat. Masalah seperti ini membuat organisasi tersebut menjadi sulit untuk mengolah sentimen yang disampaikan oleh masyarakat. Oleh karena itu dibuatkan sistem pengelolaan berbasis web responsif yang dapat di operasikan melalui komputer maupun ponsel pintar dalam mengkategorikan sentimen berupa data menjadi informasi menggunakan metode Naive Bayes yang berkecepatan dan berketepatan tinggi dalam klasifikasi dengan pemanfaatan sumber data dari kanal media sosial yang terintegrasi dalam aplikasi.","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pendeteksian Wajah Bermasker Berbasis Android Menggunakan Algoritma Convolutional Neural Network (CNN)","authors":"Daniel Jhon Rosinton Hutauruk, Herlawati Herlawati, Andy Achmad Hendharsetiawan","doi":"10.31599/jsrcs.v3i2.1693","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i2.1693","url":null,"abstract":"The masks are an effort that must be made in that is why spreading viruses covid-19 while doing suitable activities indoors and out of the room. In doing suitable activities indoors and out of space we should use a mask to reduce the spread of the virus and must abide by protocols covid-19 health must be implemented in various aspects of life. For that reason, a system that detects the use of a mask when you implement an activity whether to use a mask or not use masks. To perform work use masks can use algorithms convolutional neural networks assisted by graphic user interface (GUI) platform and using the internet of things. Input from algorithm convolutional neural network and using a platform of the internet of things. Input from algorithm convolutional neural network in the form of a picture consisting of 120 image data consisting of 60 image data not wearing masks and 60 image data wearing a mask. The result of this research can detect the mask 100 % according to input image data.\u0000Keywords: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT\u0000  \u0000Abstrak\u0000Pemakaian masker merupakan sebuah upaya yang harus dilakukan dalam mengantispasi penyebaran virus Covid-19 saat melakukan sebuah aktivitas baik didalam ruangan maupun diluar ruangan. Dalam melakukan sebuah kegiatan baik didalam ruangan maupun diluar ruangan kita harus menggunakan masker agar mengurangi penyebaran virus Covid-19 serta wajib mematuhi protokol kesehatan yang wajib dilaksanakan dalam berbagai aspek kehidupan. Oleh karena itu, diperlukan sebuah sistem yang mendeteksi pemakaian masker saat seseorang melaksanakan sebuah kegiatan apakah menggunakan masker atau tidak menggunakan masker. Untuk melakukan pendeteksi masker dapat menggunakan algoritma convolutional neural network yang dibantu oleh Graphic User Interface (GUI) serta menggunakan platform Internet of Things. Masukan dari algoritma convolutional neural network berupa sebuah gambar yang terdiri dari 120 data gambar yang terdiri atas 60 data gambar yang tidak memakai masker dan 60 data gambar memakai masker. Hasil dari penelitian ini dapat mendeteksi pemakaian masker 100% sesuai dengan masukan data gambar.\u0000Kata kunci: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131769421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementasi Keamanan Jaringan Hotspot dengan Metode Address List pada RB MikroTik di SMKIT Nurul Qolbi","authors":"Ilham Anwar Ramadhan, Rakhmat Purnomo, Sri Rejeki","doi":"10.31599/jsrcs.v3i2.639","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i2.639","url":null,"abstract":"SMKIT Nurul Qolbi uses the internet as a means of promotion, marketing, learning and practical communication to teachers, students, and school employees. But the SMKIT Nurul Qolbi network has not implemented hotspot network security in sharing and managing internet connections to teachers, students, and school staff computers. Without hotspot network security, many computers use the internet irregularly, causing other computers to not get a fair share of internet access. Due to the uneven internet connection, this causes disruption of school operations, so that it has an impact on the school's losses, both material and managerial. The absence of hotspot network security at SMKIT Nurul Qolbi is exacerbated by the large number of teachers, students, and school employees who do not use the internet to access needs related to work and learning. There are still many teachers, students, and school employees who use the internet to access social media sites such as Facebook, Twitter, and other sites that have nothing to do with work and learning, making the hotspot internet ineffective at Nurul Qolbi's SMKIT. Therefore, to maximize internet access found at SMKIT Nurul Qolbi, hotspot network security is needed. With hotspot network security, it is hoped that all computers can use the internet smoothly and stably even though all computer units use the internet at the same time and with hotspot network security it is hoped that it can increase the productivity of teachers, students and school employees.\u0000 Keywords: Address list, Hotspot, Network Security\u0000 \u0000Abstrak\u0000SMKIT Nurul Qolbi menggunakan internet sebagai sarana untuk melakukan promosi, pemasaran, pembelajaran dan komunikasi yang praktis kepada Guru, Siswa, dan pegawai sekolah. Tetapi pada jaringan SMKIT Nurul Qolbi belum menerapkan keamanan jaringan hotspot dalam membagi dan mengatur koneksi internet kepada komputer Guru, Siswa, dan pegawai sekolah. Tanpa adanya keamanan jaringan hotspot banyak komputer yang menggunakan internet secara tidak beraturan sehingga menyebabkan komputer yang lain tidak mendapat jatah akses internet yang adil. Karena koneksi internet yang tidak merata, hal ini menyebabkan terganggunya operasional kegiatan sekolahan, sehingga berdampak pada ruginya sekolah baik dari material maupun manajerial. Belum adanya keamanan jaringan hotspot pada SMKIT Nurul Qolbi diperparah dengan banyaknya Guru, Siswa, dan pegawai sekolah yang menggunakan internet tidak untuk mengakses kebutuhan yang berhubungan dengan pekerjaan dan pembelajaran. Masih banyak Guru, Siswa, dan pegawai sekolah yang menggunakan internet untuk mengakses situs-situs social media seperti facebook, twitter, maupun situs-situs lainnya yang tidak ada kaitannya dengan pekerjaan dan pembelajaran, membuat tidak efektifnya jaringan hotspot yang ada SMKIT Nurul Qolbi tersebut. Oleh sebab itu untuk memaksimalkan akses internet yang terdapat pada SMKIT Nurul Qolbi diperlukan keamanan jaringan hotspot. Adanya keamanan jaringan hotspo","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"55 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126922852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Komparasi Pengolahan Data Keuangan Manual Dengan Pengolahan Data Keuangan Menggunakan Zahir Accounting Versi 5.1","authors":"Riestiawan, Indah Ariyati","doi":"10.31599/jsrcs.v3i1.1478","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i1.1478","url":null,"abstract":"The development of information technology has penetrated all areas of life in all parts of the world, which is triggered by the increasing complexity of business activities and the increasing need for financial information. Processing of financial data on CV. Akbar Motor is recorded manually using sheets of paper so that the recording still does not work optimally. In addition, manual data processing is quite time-consuming, labor-intensive, and large costs which causes late financial statements. Researchers process financial data manually then continue using Zahir Accouting Software Version 5.1 as a comparison. The research methods used in collecting data consist of observations, interviews and literature studies. Comparison between manual processing of financial data with Zahir Accounting version 5.1. aims to find out the financial condition of an enterprise in a certain period in the hope that it can be used in decision making quickly and accurately.\u0000Keywords: Comparative, Finance, Reports, Zahir\u0000 \u0000Abstrak\u0000Perkembangan teknologi informasi telah merambah di segala bidang kehidupan di seluruh belahan penjuru dunia, yang dipicu dengan meningkatnya kompleksitas kegiatan usaha dan meningkatnya kebutuhan akan informasi keuangan. Pengolahan data keuangan pada CV. Akbar Motor dicatat secara manual menggunakan lembaran–lembaran kertas sehingga pencatatan   masih  belum  bekerja secara  maksimal. Selain itu  pengolahan  data secara manual cukup memakan   waktu,   tenaga,   dan biaya besar yang menyebabkan terlambatnya laporan keuangan. Peneliti melakukan pengolahan data keuangan secara manual kemudian dilanjutkan dengan menggunakan Software Zahir Accouting Versi 5.1 sebagai komparasinya. Metode penelitian yang di gunakan dalam mengumpulkan data terdiri  dari  pengamatan,  wawancara  dan  studi  pustaka. Komparasi antara pengolahan data keuangan secara manual dengan Zahir Accounting versi 5.1. bertujuan untuk mengetahui kondisi keuangan suatu perusahaan ini dalam periode tertentu dengan harapan dapat di gunakan dalam pengambilan keputusan secara cepat tepat dan akurat\u0000Kata kunci: Keuangan, Komparasi, Laporan, Zahir","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123568656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Sentimen Masyarakat Terhadap Kebijakan Pemerintah Selama Pandemi Covid-19 Menggunakan Algoritma Naïve Bayes","authors":"Muhammad Aqil Emeraldi, Inna Ekawati, Malikus Sumadyo","doi":"10.31599/jsrcs.v3i1.1513","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i1.1513","url":null,"abstract":"The increase in data is very large, one of the sources comes from social media, especially Twitter which talks a lot about Covid-19 . The news through Twitter media regarding the impact of the Covid-19  virus is widely discussed because it causes unrest for the public which has led to the issuance of various government policies with the aim of preventing the spread of Covid-19 . Related to this, it is necessary to conduct a sentiment analysis of the text contained in the Twitter media. In this study, a sentiment analysis process was carried out related to public sentiment towards government policies during the Covid-19  pandemic in Indonesia on Twitter social media using the Naive Bayes Classifier method where the data used was classified into 2 sentiment values, namely positive and negative sentiment. The data used are 300 positive tweets data and 300 negative tweets data, where 80% of the total data is used as training data and 20% data is used as test data. Based on the test results, the data with a total of 120 tweets obtained the results of measuring the recall value of 93.33%, precision 93.33%, F-Score 93.33% and an average accuracy of 93.33%. \u0000  \u0000Keywords: Covid-19 , naive bayes classification, sentiment analysis. \u0000  \u0000Abstrak \u0000  \u0000Pertambahan data yang sangat banyak, salah satu sumbernya berasal dari media sosial khususnya Twitter yang banyak membahas Covid-19 . Pemberitaan melalui media Twitter mengenai dampak dari virus Covid-19  marak dibicarakan karena menimbulkan keresahan bagi masyarakat yang menyebabkan dikeluarkannya berbagai kebijakan pemerintah dengan tujuan untuk mencegah penyebaran Covid-19 . Terkait hal tersebut perlu dilakukan sentimen analisis terhadap teks yang terdapat pada media Twitter. Pada penelitian ini, dilakukan proses sentimen analisis terkait sentimen masyarakat terhadap kebijakan pemerintah selama pandemi Covid-19  di Indonesia pada sosial media Twitter dengan menggunakan metode Naive Bayes Classifier dimana data yang digunakan digolongkan menjadi 2 nilai sentimen yaitu sentimen positif dan negatif. Data yang digunakan sebanyak 300 data tweets positif dan 300 data tweets negatif, dimana 80% dari keseluruhan data digunakan sebagai data latih dan 20% data digunakan sebagai data uji. Berdasarkan hasil pengujian, data dengan jumlah sebanyak 120 tweet diperoleh hasil pengukuran nilai recall 93.33%, precission 93.33%, F-Score 93.33% serta rata-rata akurasi 93.33%. \u0000  \u0000Kata kunci: analisis sentimen, Covid-19 , klasifikasi naive bayes.","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121464325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Algoritma Apriori Untuk Pola Penjualan Pada Kedai Kopi Studi Kasus: Kedai Kopioko","authors":"A. Juliano, Rasim, Sugiyatno","doi":"10.31599/jsrcs.v3i1.1148","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i1.1148","url":null,"abstract":"Dengan promosi yang efektif dapat meningkatkan angka penjualan. Salah satu cara ialah dengan mengidentifikasi kondisi pasar yaitu tentang selera pembelian konsumen, yang dapat diamati melalui data-data transaksi pembelian konsumen. Dalam beberapa tahun terakhir, data transaksi telah banyak digunakan sebagai bahan penelitian, yang bertujuan untuk membangun beberapa informasi baru terkait pola penjualan untuk membantu mengelola pengembangan bisnis di masa depan. Dalam penelitian ini digunakan metode algoritma apriori untuk  mengetahui pola penjualan.Hasil yang diperoleh dari uji coba yang dilakukan bahwa aplikasi implementasi data mining menggunakan algoritma apriori dengan metode association rule dapat berjalan dengan baik dan menghasilkan dua aturan asosiasi, dengan merubah parameter minimum support dan confidence. Dari setelah dilakukan percobaan menggunakan algoritma apriori dapat disimpulkan bahwa kombinasi menu item yang dapat di buat untuk pola penjualan atau proses pengembangan promosi menggunakan menu paket Kopioko rasis, kentang dengan nilai confidence 60,34%, dan Kopioko rasis, regal dengan nilai confidence 54,88 \u0000Kata Kunci: Algoritma Apriori, Pola Penjualan, Aturan Asosiasi.","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Web Scraping Situs Berita Menggunakan Bahasa Pemograman Python","authors":"Muhammad Ramadan Fikri, Rahmadya Trias Handayanto, Dadan Irwan","doi":"10.31599/jsrcs.v3i1.1514","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i1.1514","url":null,"abstract":"Currently, the rapid development of technology provides innovation, one of which is the technique of obtaining information from portal websites, termed web scrapers. This application provides data needs in the form of information where the process of retrieving information from sites will later be taken to observe behavior and perceptions to get the right market segmentation. Most data collection is currently still done manually, as a result, this method has several system limitations, namely the length of the data collection process so that it slows down the performance of market segment analysis. The risk is not getting the right market segmentation. To solve this problem, a web scraping news site is needed. In this study, web scraping news sites were created using the python programming language and the flask library to display web scraping. In addition, the Selenium library is used to simplify application creation, facilitate interaction with the Web and provide facilities to control a web browser. This program can retrieve data based on keywords, where the results are in the form of the title, posting date, summary, then collect the data that has been taken into a csv file extension automatically. \u0000 Keywords: Internet, News, Python, Scraping, Website \u0000  \u0000Abstrak \u0000Saat ini, perkembangan pesat teknologi memberikan inovasi, salah satunya adalah teknik memperoleh informasi dari situs web portal, yaitu web scraper. Aplikasi ini menyediakan kebutuhan data berupa informasi dimana proses pengambilan informasi dari situs-situs nantinya diambil untuk diamati perilaku dan persepsi untuk mendapatkan segmentasi pasar yang tepat. Kebanyakan pengambilan data saat ini masih dilakukan secara manual, akibatnya cara ini memiliki beberapa keterbatasan system yaitu lamanya proses pengumpulkan data sehingga memperlambat kinerja analisa segmen pasar. Resikonya adalah tidak mendapatkannya segementasi pasar yang tepat. Untuk mengatasi masalah tersebut diperlukan web scraping situs berita. Pada penelitian ini, web scraping situs berita dibuat dengan menggunakan bahasa pemrograman python dan library flask untuk tampilan web scraping. Selain itu, library Selenium digunakan untuk mempermudah pembuatan aplikasi, mempermudah interaksi dengan Web dan menyediakan fasilitas untuk mengontrol suatu peramban web. Program ini dapat mengambil data berdasarkan kata kunci, dimana hasilnya berupa judul, tanggal postingnya, rangkuman, lalu mengumpulkan data yang telah di ambil ke file berekstensi csv secara otomatis. \u0000Kata kunci: Berita, Internet, Python, Scraping, Website","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sistem Pengendalian Persediaan Stok Barang Pada Toko Hafiz Menggunakan Metode EOQ (Economic Order Quantity)","authors":"Tyka Makhfiroh, Mugiarso, R. W. Prio Pamungkas","doi":"10.31599/jsrcs.v3i1.1150","DOIUrl":"https://doi.org/10.31599/jsrcs.v3i1.1150","url":null,"abstract":"Inventory control needs to be considered by retail and manufacturing companies because it greatly determines the smooth running of business activities in achieving maximum profits with minimal costs. Inventory management of the Hafiz Store is still done manually. This can be overcome by having a prediction of the inventory that must be done to meet the number of customer requests. Prediction is expected to determine the optimal inventory. So the use of the Economic Order Quantity method in predicting demand for the next period is the right choice. The results of the analysis of yarn inventory control at the Hafiz Store concluded that the average demand for raw materials was 100 with an order cost of 1000, and a storage cost of 1000, with a period of 5 days, and the reorder point was 2550, the EOQ results obtained were 55. The prediction results are obtained then the process the calculation of the Economy Order Quantity (EOQ) method which is used to determine the number of items that must be ordered for each order, the amount of safety stock, and the minimum amount of stock for reordering through the built inventory application.\u0000Keywords: Economy Order Quantity, Inventory Control\u0000 \u0000Abstrak\u0000Pengendalian persediaan perlu diperhatikan oleh perusahaan retail maupun manufaktur karena sangat menentukan kelancaran kegiatan usaha dalam mencapai keuntungan sebesar-besarnya dengan biaya seminimal mungkin.  Pengelolaan persediaan Toko Hafiz masih dilakukan secara manual Hal itu dapat diatasi dengan adanya suatu prediksi terhadap persediaan yang harus dilakukan untuk memenuhi jumlah permintaan pelanggan. Prediksi diharapkan dapat menentukan persediaan yang optimal. Sehingga penggunaan metode Economic Order Quantity dalam prediksi permintaan periode selanjutnya merupakan pilihan yang tepat. Hasil analisis pengendalian persediaan benang pada Toko Hafiz diperoleh kesimpulan yaitu, permintaan rata-rata bahan baku 100 dengan biaya pesan 1000, dan biaya simpan 1000, dengan periode 5 hari,dan Reorder point 2550  maka hasil EOQ yang didapat 55. hasil prediksi didapatkan maka proses perhitungan metode Economy Order Quantity (EOQ) yang digunakan untuk menentukan jumlah barang yang harus dipesan untuk setiap pemesanan, jumlah persediaan pengaman, dan jumlah stok barang minimal untuk melakukan pemesanan kembali melalui aplikasi inventory yang dibangun.\u0000Kata kunci: Economy Order Quantity, Pengendalian persediaan","PeriodicalId":132318,"journal":{"name":"Journal of Students‘ Research in Computer Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}