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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Electro Luceat Jurnal Informatika Universitas Pamulang Applied Information System and Management Jurnal Teknoinfo J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Tekno Kompak Building of Informatics, Technology and Science INTI Nusa Mandiri JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Telematics and Information Technology (TELEFORTECH) Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Informatika: Jurnal Pengembangan IT Jurnal Media Celebes Jurnal Media Jawadwipa
Andi Nurkholis
Universitas Teknokrat Indonesia
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 Mathematics Social Sciences Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
Aplikasi Web Untuk Visualisasi Web Scraping Menggunakan Metode VSM Nurkholis, Andi; Fernando, Yusra; Ans, Faris Arkan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.663

Abstract

The internet, like the workplace, is at the heart of every aspect of communal life in the modern digital era. Many platforms already provide job vacancies, especially for independent contractors. To identify relevant job openings, consumers typically need to access multiple websites to gather this information. One way to overcome this problem is to use web scraping. BeautifulSoup and Selenium libraries will be used to collect data in accordance with previous research findings. The vector space model approach is used to determine the degree of data similarity between queries and documents to perform data searches. After examining the data, a mean accuracy value of 56% was obtained and a mean perfect recall value of 100%. This is because, even if the context does not match, data searches use three parameters, increasing the likelihood of returning irrelevant material if the document contains words from the user's query. Users can manage the processes of web scraping, data processing, and data searching with the help of the Streamlit framework in Python, which displays the results of data processing. To obtain data from the Sribulancer, Project and freelancing freelancer websites, this research will use web scraping techniques. Users can search for data from multiple websites using a vector space model approach rather than accessing each loose website one by one. Web scraping results can also be processed to be displayed in a more user-friendly format and save time by using data visualization in the form of a web application built using the Streamlit framework.
Penerapan Extreme Programming dalam Pengembangan Sistem Informasi Manajemen Pelayanan Publik Nurkholis, Andi; Susanto, Erliyan Redy; Wijaya, Suhenda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.744 KB) | DOI: 10.30645/j-sakti.v5i1.304

Abstract

Sukarame District serves public administration activities such as information on population data and mail administration services. The conventional process currently running in Sukarame District only uses Microsoft Office for data storage so that it cannot be accessed by people in real-time. As a solution to the problem, we need a system that can help public service management to manage population data, public complaints, and service letters such as environmental permits, electricity subsidy permits, and business permits. This system was developed with the extreme programming development method with system design using a unified modeling language, namely use case diagram, class diagram, and activity diagram. To assess the feasibility of the system, testing was carried out using the black-box method which resulted in an accuracy of 100%, so that this system was fit for use functionally.
Analisis Pola Transaksi Pelanggan Menggunakan Algoritme Apriori Styawati, S; Nurkholis, Andi; Anjumi, Krisma Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.362

Abstract

Diengva is a shop that sells various kinds of goods such as household items, household appliances, accessories, flower buckets, clothes, bags, shoes, cosmetics, and others. The large number of purchase transaction data in diengva can be used to analyze customer behavior in purchasing goods. Apriori algorithm is one of the algorithms in the field of data mining for extracting association rules. This study applies the apriori algorithm to find customer buying patterns in diengva store sales transaction data using rapid miner. The rules resulting from the application of the apriori algorithm can be used as a basis for stocking items that meet the minimum support and minimum confidence values. Items that meet these rules are eyelashes, eyelash glue, soft lens, and soft lens water. The confidence value of the relationship between two items can be high so that the results of these rules can be used as the basis for stocking.
Sistem Persediaan Obat Menggunakan Metode Moving Average Dan Fixed Time Period With Safety Stock Nurkholis, Andi; Oktora, Putri Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.522

Abstract

The Rahman Pharmacy business process is currently still running manually, namely recording the name, number, and price of the medicine purchased from the supplier into a piece of paper and then calculating using a calculator based on the purchase. In the business process, there are still errors when recapitulating daily transactions caused by paper notes is lost. So far, Apotek Rahman often runs out of merchandise, which can disappoint buyers. Another problem faced by Apotek Rahman is that medicine can accumulate. It can be detrimental because they have not implemented an inventory control system. This study aims to develop a website-based inventory information system to help Rahman Pharmacy manage computerized medicine data so that the work of managing incoming medicine, outgoing medicine, and the process of updating stock items becomes more effective. To produce medicine inventory recommendations, the moving average and fixed time period with safety stock methods are used. Each interested user can easily access every report on the purchase and sale of medicine. The system will provide updated stock information to consider when ordering medicines. In addition, the system can also provide recommendations for the procurement process so that it can be known when to order medicine based on the safety stock method, how many items are ordered, and provide the cost of inventory every time an item is purchased.
Co-Authors Adhie Thyo Priandika Adi Sucipto, Adi Ady Candra Nugroho Afifudin Afifudin Aftirah, Nadia Agung Riyantomo Ahmad Ari Aldino Aldi Bagus Prasetyo Alita, Debby Alvi Suhartanto Alvi Suhartanto Andrey Ferriyan, Andrey Anjumi, Krisma Nur Annisa Annisa Ans, Faris Arkan Arief Budiman Aris Munandar Bagas Aditama Bagus Miftaq Hurohman Berlintina Permatasari Dalimunthe, Ernando Rizki Damayanti, Damayanti Donaya Pasha Dyah Ayu Megawaty Eka Saputra Ellin Gusbriana Erliyan Redy Susanto Fahreza Aditya Aryatama Faris Arkans Ans Fernando, Yusra Gusti Firmansyah Gustian Rama Putra Harry Gunawan Heni Sulistiani I Ketut Wahyu Gunawan Imas Sukaesih Sitanggang Indra Kurniawan Irsan, Aqilla Hattami Irwan Tubagus Isnain, Auliya Rahman Iwan Syahputra johansyah johansyah Johansyah Johansyah Jupriyadi Jupriyadi Jupriyadi, Jupriyadi Kartini, Nuri Koeswara, Wawan Leny Meilisa M Fabian Apriando Maria Ainun Nazar Mega Desi Diah Ayu Megawaty, Dyah Ayu Mohammad Tafrikan Muhammad Aldhi Septianto Muhammad Fadilah Arfat Muhammad Fauzan Ramadhani Muhammad Fitratullah Muhammad Hamdan Sobirin Muhaqiqin Muhaqiqin muhaqiqin Nadia Aftirah Nadiya Safitri Neneng Neneng Ni’mawati, Akfina Oktora, Putri Suci Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Prasetyo, Aditya Dwi Pria Agung Laksono Purwayoga, Vega Rafi Athallah Rahayu, Masnia Rahayu, Ririn Wuri Ramadhani, Muhammad Fauzan Renda Bimantara Rikendry Rikendry Rio Andika Rulyansyah Permata Putra S. Samsugi Sampurna Dadi Riskiono Saputra, Alvin Saputra, Hendi Setiawansyah Setiawansyah Sitanggang, Imas S. Siti Yuliyanti, Siti Sobir Sobir Sokid, Sokid Styawati Styawati Styawati, S Styawati, Styawati Susanto, Erliyan Redy Syahirul Alim Syahirul Alim Syaiful Ahdan Temi Ardiansah Tia Nanda Pratiwi Tiara Azizul Andika Tiyas Utami Tri Widodo Try Susanto Veithzal Rivai Zainal Wahyu Sardjono Wawan Koswara Wijaya, Suhenda Yeris Ari Sandi Yopita Anggela Yuri Rahmanto Yusra Fernando Zaenal Abidin Zahra Kharisma Sangha Zahrina Amalia Zainabun Mardiyansyah