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INDONESIA
Jurnal Penelitian Ilmu komputer
Published by PT Triputra Sejahtera Prima
ISSN : 29861543     EISSN : 2986030X     DOI : https://doi.org/10.5281/zenodo.7720440
Core Subject : Science,
Computer Science & IT
JUPIK: Jurnal Penelitian Ilmu komputer adalah jurnal ilmiah penelitian yang diterbitkan secara berkala yaitu 4 kali dalam setahun (Maret, Juni, September dan Desember) yang bertujuan untuk menyebarluaskan berbagai jenis hasil riset di bidang Ilmu Komputer kepada publik. Saat ini JUPIK menerima kiriman artikel hasil riset di bidang ilmu komputer yang ditulis dalam Bahasa Indonesia . Adapun bidang keilmuan yang menjadi fokus di dalam JUPIK antara lain: Information System, Management Information Systems, Project Management Systems, Supply Chain Management System, Customer Relationship Management, Artificial Intelligence, Machine Learning, Game, Business Intelligence & Data Visualitation, Software Engineering & Software Re-Engineering, Data Management, Data Mining, User Interface (UI) & User Experience (UX), Mobile & Web Technology Multimedia System & Computer Network, Cloud Computing, Internet Of Things. Penentuan artikel yang dimuat dalam JUPIK akan melalui proses double blind review oleh JUPIK, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang ilmu komputer. Editor bertanggung jawab untuk memberikan telaah konstruktif, dan jika dipandang perlu menyampaikan hasil evaluasi kepada penulis artikel.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 90 Documents
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PENGEMBANGAN APLIKASI WEB SCRAPING UNTUK PENGUMPULAN DATA HARGA PRODUK E-COMMERCE MENGGUNAKAN PYTHON (STUDI KASUS: TOKOPEDIA) Alhafiz, Vicky; Mochamad Adhari Adiguna
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

Development of a web scraping application system for collecting e-commerce product price data using Python designed to automatically retrieve product data from the Tokopedia e-commerce platform in order to help sellers prepare sales strategies and market competition which usually require excessive time and resources. A sales strategy is a guideline for seeking innovation to run a business, and can determine benchmarks for success as a seller. This research aims to design a system that is able to work automatically and efficiently to provide accurate data and help sellers to analyze market conditions. The design of this system was carried out using the waterfall development method and using the Python as a programming language. The results of this research will provide accurate data and a dashboard that helps sellers analyze the market from the Tokopedia platform. Application testing also ensures that it has been carried out for accurate knowledge and that the resulting application is more user friendly and the resulting system meets the existing flexibility criteria. The results of all these tests also can be concluded that the resulting application is quite good although there is still a lot of development needed in terms of processing speed and analysis results displayed on the dashboard.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN BERBASIS WEB MENGGUNAKAN METODE SAW PADA TOKO SERBA CURAH CINERE Yeremias Dala Sula, Yohanes; Ariadi, Fadly
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

Serba Curah Store is a supplier of household needs and catering needs with a variety of products on offer. In its operations, Serba Curah stores often accept new employees to meet existing human resource needs. The process of hiring employees at serba curah stores is still done manually, so it takes a long time, and there is no system that can produce employee hiring decisions quickly and accurately. To assist the selection process for employee recruitment at the Serba Curah Store, a Decision Support System (SPK) is used. The Employee Recruitment Decision Support System was built using the PHP programming language with the CodeIgniter framework and MySQL database. The process of calculating selection results uses the Simple Additive Weighting (SAW) method based on predetermined criteria. The criteria used are work experience, education, age, height, interview, appearance and travel time. The use of a decision support system with the Simple Additive Weighting method provides 75% accuracy results. With the application system, the selection process can take place more quickly and the resulting decisions meet the predetermined criteria.
PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUNSCREEN UNTUK LAKI-LAKI DENGAN JENIS KULIT SENSITIF Ashara, Rahma; Widagdo, Bambang Wisnu
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

Skin health is an important aspect that requires protection from UV exposure. While skincare is more commonly associated with women, it's important to remember that men need skincare too. However, men's reluctance to talk openly about their skincare products is an obstacle in choosing a suitable sunscreen product. Skin has various types, especially sensitive skin types that require special attention. The sunscreen selection process still uses a manual method by checking the packaging and then comparing them one by one without considering specific criteria, potentially resulting in a sunscreen that is not suitable for sensitive skin and user needs. To help reduce errors and provide convenience in choosing sunscreen products for men with sensitive skin, a decision support system is made with the Simple Additive Weighting (SAW) method. In this study, the authors considered five sunscreen products by taking into account eight relevant criteria. The results showed that products with codes A2 (Parasol Face Sunscreen 33 SPF) and A4 (LRP Anthelios UVMune 400 Invisible Fluid SPF 50+) had the highest value, which was 0.9999, so they were considered the best results.
Perancangan Sistem Business IntelligenceMenggunakan OLAP Dalam Menentukkan Persetujuan Kredit Nasabah PT. Bank Maybank Indonesia dengan Menggunakan Metode Apriori Alaydrus, Syarifah Farrah Rizka Putri
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

Berdasarkan data, periode September – Desember tahun 2021, PT Bank Maybank mendapatkan kenaikan 8000 aplikasi nasabah yang melakukan pengajuan kredit tanpa anggunan . Dimana hal ini mengakibatkan permasalahan bertambahnya waktu dalam melakukan review oleh analis dan penurunan kualitas pelayanan serta terjadinya masalah naiknya beban operasional perusahaan. Penelitian ini bertujuan untuk merancang alur persetujuan kredit agar menjadi lebih efektif, lebih cepat dan tepat sasaran dengan pembuatan suatu aplikasi system Business Intelligence pemrosesan dan Analisa alur pengajuan kredit yang mampu mengautomatisasi proses dan Analisa pengajuan kredit tanpa menggunakan human credit analyst. Pada penelitian ini, peneliti melakukan perancangan system business intelligence dengan menggunakan OLAP dalam menentukkan persetujuan Kredit nasabah dengan menggunakan Metode Apriori. Peneliti melakukan penelitian terhadap 100 data nasabah PT Bank Maybank yang pernah melakukan pengajuan kredit tanpa anggunan ( KTA) serta informasi yang didapatkan dari hasil wawancara dengan staff kredit analis PT Bank Maybank Indonesia. Metode Apriori dalam penelitian ini berperan dalam menentukkan nasabah mana yang cocok sebagai penerima kredit dengan cara menentukan frequent item set yang telah diinput oleh nasabah dengan Teknik association rule. Semua akan ditentukan dengan atribut – atribut yang akan diberikan bobot nilai kemudian akan menjadi frequent item set untuk menjadi informasi yang akan diproses. Kemudian akan dilakukan perancangan system business intelligence menggunakan OLAP melalui suatu sistem aplikasi business intelligence yang akan mengautomatisasi fungsi system human analyst. Sehingga didapatkan hasil melalui uji blackbox teknik state transition technique dan user acceptance test bahwa aplikasi yang dirancang bekerja sesuai tujuan penelitian. Dan didapatkan hasil dari user acceptance test yang dilakukan pada 100 orang yang pernah melakukan pengajuan kredit dan didapatkan hasil bahwa 83% pemilih menyatakan sangat setuju, 14% menyatakan setuju pada aplikasi sistem pengajuan kredit membuat pengajuan kredit menjadi lebih cepat karena hanya membutuhkan waktu ± 2 hari kerja dari waktu proses sebelum system yaitu 14 hari kerja. Dan pada uji blackbox didapatkan hasil bahwa sistem tepat sasaran dalam penentuan nasabah yang layak mendapatkan persetujuan kredit. Disamping itu terjadinya penurunan dalam beban operasional perusahaan dikarenakan pergantian fungsi human credit analyst menjadi admin sebesar 317 Milyar setiap bulannya. Sehingga dapat disimpulkan penelitian ini berhasil sesuai dengan tujuan yang ingin dicapai oleh peneliti.
Rancang Bangun Sistem Informasi Wedding Organizer Pada Nikah Murah Tangerang Kurnia Widya Lestari
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

As time went by, technological developments in the business world demanded the perpetrators to be more creative, as did wedding organizers. The news of the many popular wedding organizers and civil rights cases has given some of the candidates to be clients who will use Nikah Murah Tangerang wedding services to be less confident of wedding service providers. Based on the problem, it requires an information system as relevant evidence to the candidates or clients who will use a Nikah Murah Tangerang wedding service that can be used as a transaction tool to order services to the Nikah Murah Tangerang wedding organizer and data management system to facilitate data management to the providers of wedding management. The research methods used are qualitative methods and extreme programming (XP) as software development methods in this research. Data collection techniques are done by observation, interview, and library study. The results of this study include information systems for web-based wedding organizers that provide information, order processes, and data management for wedding organizers. 
PERANCANGAN ALAT PEMILAH SAMPAH ORGANIK DAN ANORGANIK BERBASIS ARDUINO PADA BANK SAMPAH KURMA PANGKALAN JATI wiki, syadwiki nurzaidhabi fathurrahman
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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The increasing waste population is becoming a serious problem. Lack of human awareness of how dangerous waste is that can damage the environment both directly and indirectly. For this reason, a system is needed that helps the community pay more attention to the environment. Because to lead a comfortable life, humans must take care of the nature where they live. This research resulted in an automatic waste sorting tool based on type. This tool uses 2 microcontrollers, namely Arduino uno and nodemcu esp8266. Assisted proximity sensor used as a waste type sorter. After sorting, the servo motor will move to move the waste in the specified direction. Then there is the hcsr-04 sensor and 16x2 LCD that helps monitor the waste load in the container. Equipped with a blynk application that helps notify the garbage hauler when the load of the trash can is full.
ANALISIS KUALITAS RANCANGAN USER INTERFACE DAN USER EXPERIENCE PADA APLIKASI BCA MOBILE MENGGUNAKAN METODE UEQ Iskandar, Aliah
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 2 (2024): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

The role of User Interface (UI) / User Experience (UX) is very important in a company, especially web and application based companies. UI/UX can be a good long-term investment for a company. BCA is a company in the banking sector that has many mobile banking applications. One of them is the BCA Mobile application. This research involved 137 users who filled out a questionnaire. The aim of this research is to make the appearance of the application and user experience in using the BCA Mobile application better and more enjoyable. It is hoped that the UEQ (User Experience Questionnaire) method can help in completing this research. The results of the user experience evaluation on the BCA Mobile application using the UEQ method stated that the attractiveness aspect was 1.90, the clarity aspect was 2.68, the efficiency aspect was 1.91, the accuracy aspect was 1.80, the stimulation aspect was 1.70, and the novelty aspect is 1.68. This proves that all aspects have positive value. The benchmark results show that the attractiveness, visibility, efficiency and stimulation aspects are included in the very good criteria. The clarity aspect got the highest score and the novelty aspect got the lowest score in this research.
PENERAPAN ALGORITMA LINIER REGRESI PADA SISTEM PREDIKSI HARGA GAS ALAM Budi; Bambang Wisnu Widagdo
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 3 (2024): SEPTEMBER
Publisher : PT Triputra Sejahtera Prima

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Natural gas is one of the world's energy sources whose use in the future is expected to increase and become an important energy source. Due to its large role in world energy, natural gas is considered a major industry in the energy market, however, natural gas price trends are very volatile and very difficult to analyze and predict. Linear regression is a statistical method that makes predictions using the development of mathematical relationships between variables, namely the independent variable (X) and the dependent variable (Y). This analysis is to determine the direction of the relationship between the independent variable and the dependent variable, whether positive or negative and to predict the value of the dependent variable if the value of the independent variable increases or decreases. The advantage of the linear regression method itself is that this method can carry out analysis using several independent variables so that it can be used to predict data easily. Data was collected through historical searches for natural gas through website sources. Natural gas prices from 2015 to 2024 were collected using test and learn models, each with 2460 rows of data. The Anaconda Navigator application is used to carry out the data analysis process. The results of this research show that machine learning can be used to predict and analyze natural gas prices with an MSE of 2569.1, MAE of 33,723, and R-Squared of 0.9856. Thus, these results show that the linear regression method has an accuracy level of 98.56% according to the value R-Squared. Keywords: NaturalGas, Prediction, Linear Regression
Implementasi Framework Laravel Pada Aplikasi Godebook Berbasis Website Dengan Metode Extreme Programming Di Gify Tech Apriwinda Rahmayani; Mochamad Adhari Adiguna
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 3 (2024): SEPTEMBER
Publisher : PT Triputra Sejahtera Prima

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This research discusses the implementation of the Laravel framework in developing web-based GodeBook applications using the Extreme Programming (XP) method at Gify Tech. GodeBook is an application designed to provide a platform for users to access and share e-books. The XP method is used to ensure software development that is adaptive and responsive to changing user needs. This research covers the stages of application development, from planning to testing, with the application of XP principles such as intensive communication, continuous testing, and incremental development. The Laravel framework was chosen because of its advantages in simplifying the web development process, providing an organized structure, and supporting good development practices. The results of this implementation are expected to increase development efficiency, quality and reliability of the GodeBook application. By using XP and Laravel, it is hoped that we can overcome software development challenges in a more collaborative, responsive and adaptive way.   Keywords: Laravel Framework, GodeBook Application, Extreme Programming (XP) Method, Collaborative, Responsive, Adaptive, Efficient.
Perancangan Aplikasi Penjualan Pakaian Adat Tradisional Khas Timor-Leste Berbasis Website Menggunakan Metode Waterfall Delio Elisio Da Costa Ornai; Devi Yunita
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 3 (2024): SEPTEMBER
Publisher : PT Triputra Sejahtera Prima

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Tais Market merupakan sebuah toko penjualan yang menjual pakaian adat tradisional Timor Leste. Pada saat ini proses transaksi jual beli di Tais Market masih menggunakan cara konvensional, sehingga membutuhkan suatu sistem informasi untuk menunjang produktivitas agar perusahaan lebih efektif dan efisien. Selain itu, Pasar Tais juga memiliki permasalahan pada data produk, data pelanggan dan data penjualan yang kurang akurat, sehingga dapat menyebabkan ketidakakuratan pada laporan penjualan produk. Tujuan dari penelitian ini adalah menganalisis dan merancang sistem penjualan sehingga dapat memberikan sistem yang terupdate dalam bentuk website dan dapat memperbaiki permasalahan yang ada. Dalam perancangan sistem penjualan ini, dirancang dengan menggunakan metode waterfall yang diharapkan dapat mencapai hasil yang maksimal. Hasil dari penelitian ini adalah berupa perancangan interface untuk sistem penjualan pakaian adat yang akan memudahkan dalam pembuatan sistem penjualan dan diharapkan dapat membantu proses bisnis Tais Market sehingga ketidakakuratan pada laporan penjualan pakaian adat tradisional Timor Leste dapat diatasi.

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