Garuda - Garba Rujukan Digital

PENERAPAN TEKNOLOGI GLOBAL POSITIONING SYSTEM (GPS) PADA APLIKASI PRESENSI BERBASIS ANDROID (STUDI KASUS: SMA NEGERI 2 OKU TANZANIA) Prasetyo, Aditya Dwi; Pasaribu, A.Ferico Octaviansyah; Nurkholis, Andi
TELEFORTECH : Journal of Telematics and Information Technology Vol 2, No 2 (2021): TELEFORTECH VOL 2 No. 2 (JANUARI 2022)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v2i2.3705

Sekolah Menengah Atas (SMA) Negeri 2 Oku Tanzania memiliki masalah yang berkaitan dengan Pencatatan absen siswa yang saat ini dilakukan secara manual di atas kertas dapat diperbaiki, sehingga dapat meningkat mutu pengolahan data presensi, mutu layanan dan sistem di Sekolah.Penelitian ini bertujuan membangun aplikasi Absensi berbasis Android yang dapat digunakan pada perangkat handphone guru dan siswa. Terdapat banyak cara untuk menyelesaikan permasalahan saat ini, salah satunya membuat sistem aplikasi absensi berbasis lokasi dengan memanfaatkan fitur GPS yang dapat digunakan pada Android. Bahasa pemograman yang digunakan dalam pembangunan sistem adalah Java dan PHP (PHP: Hypertext Preprocessor) menggunakan react native dengan tools Android Studio & Visual Studio sebagai editor penulisan code Java dan PHP, HTML. Dengan demikian, dengan adanya penelitian ini dapat membantu Sekolah dan Siswa dalam memudahkan Siswa dalam melakukan kegiatan absensi secara akurat. Dalam penelitian yang akan dilakukan menggunakan metode Rapid Application Development (RAD) dan untuk menguji kelayakan sistem menggunakan metode ISO 25010. Penelitian ini berhasil dengan mendapatkan penilaian sebesar 100% untuk pengujian functional suitabilitysehingga mendapatkan predikat presentase Sukses/Berhasil, dan predikat presentase Sangat Baik dengan angka presentase 94.67% untuk pengujian usability dari responden yang mengacu pada pengujian sistem ISO 25010 dengan menggunakan tabel penilaian Skala Likert. Kata Kunci: Absensi,GPS,RAD,MySQL,ISO 25010

JWT AUTHENTICATION UNTUK KEAMANAN WEB SERVIS E-COMMERCE (CV JASTRA CARD) Roihan, Muhammad; Nurkholis, Andi; Pasha, Donaya; Koeswara, Wawan; Dalimunthe, Ernando Rizki
TELEFORTECH : Journal of Telematics and Information Technology Vol 5, No 1 (2024): TELEFORTECH VOL 5, NO 1 (JULI 2024)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v5i1.4588

Pelayanan sistem e-commerce CV. Jastra Card kurang aman, terutama untuk transaksi data antar jaringan. Penelitian ini bertujuan untuk memberikan keamanan dan distribusi yang efektif pada web service e-commerce yang menggunakan JSON Web Token dengan algoritma HMAC-SHA 512 serta dikombinasikan dengan metode refreshing token authentication pada CV Jastra Card, yang merupakan salah satu cara untuk melindungi kerahasiaan dan integrasi data. Penelitian ini menggunakan metode pengembangan aplikasi cepat yang mencakup fase rencana, desain pengguna, pembangunan, dan cutover. Hasil penelitian ini menunjukkan bahwa token web JSON dapat melindungi autentikasi akun pengguna saat menggunakan framework Django yang berbasis Python untuk mengembangkan sistem web service. Karena refreshing token memiliki kemampuan untuk memberikan akses selama masa hidup token dan memiliki kemampuan untuk memblokir token yang sudah expired, penggunaan refreshing token lebih efektif daripada akses token biasa.

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

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.

Distribution Model of Personal Protective Equipment (PPE) Using the Spatial Dominance Test and Decision Tree Algorithm Purwayoga, Vega; Yuliyanti, Siti; Nurkholis, Andi; Gunawan, Harry; Sokid, Sokid; Kartini, Nuri
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2471

The COVID-19 case has developed positively, but preventive measures must be taken to anticipate SARS-CoV-2 mutations. Anticipation can include policies, preparing health workers, and providing personal protective equipment. Personal Protective Equipment (PPE) availability is a big challenge in handling pandemics, especially COVID-19. The level of need for PPE in an area depends on the number of COVID-19 cases. This research provides a solution to overcome the availability of PPE by applying the concept of cross-regional collaboration. Areas with low COVID-19 case rates can help areas with high COVID-19 case rates by sending PPE assistance. Implementing the cross-regional collaboration concept is assisted by the spatial dominance test algorithm, namely the spatial skyline query. Spatial Skyline Query works by searching for the most ideal area. The ideal area is an area with low COVID-19 case criteria. The low number of positive cases, death cases, probable cases, and close contact cases supports the low number of COVID-19 cases. Areas with the highest number of recovered cases are also priorities. The SSQ model was developed into two models for searching priority areas for PPE assistants. The first model is Sort Filter Skyline 1 (SFS1), and the second is Sort Filter Skyline 2 (SFS2). SFS1 is a form of SFS algorithm optimization that searches for the best 50% of all regions. SFS2 modifies SFS1 by selecting areas whose distance is <= the average distance of the area to the Health Crisis Centre of the Ministry of Health of the Republic of Indonesia. This research involves searching for priority areas and applying a prediction algorithm to extract knowledge built from the prediction model. The algorithm used is C5.0. The data used to apply the prediction algorithm results from the application of SFS1 and SFS2. The results of testing the prediction model by the C5.0 algorithm produced an accuracy of 77.26% for SFS1 data and 92.01% for SFS2. The average rules resulting from the C5.0 algorithm are three for SFS1 and two for SFS2.

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 | DOI: 10.30645/j-sakti.v5i1.304

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

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

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.

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

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

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

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.

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