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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Instal : Jurnal Komputer Journal of Technology and Computer (JOTECHCOM)
Hasibuan, Eka Hayana
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Computer Science & IT Decision Sciences, Operations Research & Management

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Web-Based Sales Information System Design at Ulos Shop Hasibuan, Eka Hayana
Bahasa Indonesia Vol 13 No 02 (2021): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

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Abstract

Ulos Shop is an e-store that is engaged in styles ranging from clothing, bags, shoes, accessories and others, which still require regional expansion in the sale and marketing of products provided both for customers within the city of Medan and outside Medan. Currently, the promotion of products sold on Ulos Shop is only done using Facebook and the recording of transactions at this store is also still manual, allowing errors in recording and also allowing data loss. At this time the way of purchasing at the Ulos Shop store is that customers go directly to the store to view and order the products provided. By building a web-based sales information system on Ulos Shop, it can help stores and customers in making buying and selling transactions, it can also help companies promote products through the internet. The design method uses DFD (Data Flow Diagram) modeling and the creation of a web-based sales system using CMS (Content Management System), namely Opencart. The results of this study are in the form of designing a web-based sales system that can be implemented properly by the company in order to promote products and make buying and selling transactions easily to customers.
Analysis of the Use of Fake GPS Applications on Drivers of PT GoTo Gojek Tokopedia Tbk (GOTO) Alhafidz, Muhammad Fikri; Hasibuan, Eka Hayana
Journal of Technology and Computer Vol. 2 No. 1 (2025): February 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

The purpose of this study was to determine the use and system used to detect the fake GPS application on PT Goto Gojek Tokopedia Tbk driver partners in the competition between Gojek drivers in Surabaya. The research method used is a qualitative method, which is obtained based on the results of field research (field research). The data required in this study were collected using observation, interview, and literature study techniques, which were then analysed using descriptive techniques in describing data about the use of the Fake GPS application on PT Goto Gojek Tokopedia Tbk partners. The results of this study conclude that the use of the Fake GPS application by PT Goto Gojek Tokopedia Tbk drivers is carried out without coercion, without fraud, and without oversight, but the driver violates company rules regarding the use of additional applications in the form of fake GPS. The system used to detect fake GPS applications in this research is based on ensemble learning using the AdaBoost and XGBoost algorithms. The learning ensemble is able to detect fake GPS applications very well.
Decision Support System for Students Final Project Title Acceptance at Ganesha Polytechnic Medan using Analytical Hierarchy Process (AHP) Method Ramadhan, Wisnu; Wayahdi, M. Rhifky; Hasibuan, Eka Hayana
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Many students are confused about determining the title that has been standardized by the head of study program. Is the title they are proposing relatively easy and in accordance with what is standardized by the head of study program or could it actually make things difficult for the student? The decision making system method used is Analytical Hierarchy Process (AHP) with the criteria of level of difficulty, reference source, number of similar titles and reference accreditation. The manufacturing stages carried out in this research used the waterfall and web-based method. Making this application uses data processing procedures, Data Flow Diagrams and MySQL DBMS. The output of the research I have made is that it can make it easier for students to submit the title of their final assignment, making it easier for the head of study program to sort out whether the title that will be submitted by the student is in accordance with the standards set by the head of study program and can also assess at the same time whether the title is easy and suitable for use as a final assignment.
Prediksi Penyakit Kencing Manis (Diabetes Mellitus) Menggunakan Algoritma Klasifikasi Voting Feature Intervals 5 Hasibuan, Eka Hayana
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 8, No 1 (2023): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v8i1.9644

Abstract

Penyakit Diabetes Mellitus (DM) merupakan penyakit berbahaya yang menjadi penyebab kematian terbesar keempat di dunia. Penyandang DM terus meningkat sekitar 7 juta jiwa setiap tahun. Peningkatan tersebut disebabkan oleh perubahan pola hidup sehari-hari seperti kurangnya aktivitas, kebiasaan mengkonsumsi makanan tinggi lemak, karbohidrat dan faktor keturunan. Akibat kebiasaan tersebut menyebabkan kadar gula dalam darah meningkat sehingga menimbulkan komplikasi diantaranya adalah penyakit jantung, ginjal, hati, dan gangguan pada pencernaan yaitu dyspepsia.Penyakit dyspepsia memiliki gejala yang mirip dengan DM sehingga pada penelitian ini dijadikan sebagai penyakit untuk diagnose pembanding. Penerapan algoritme VFI 5 pada data pasien mampu memberikan hasil prediksi yang baik dengan menghasilkan akurasi rata-rata 90% dilakukan berdasarkan validasi silang dengan 3-fold. Hasil dari selang pelatihan pada algoritme VFI5 5 menyatakan bahwa penyakit DM dan dyspepsia memiliki gejala yang mirip, sehingga bagi orang awam sulit untuk membedakan kedua penyakit tersebut tanpa melakukan uji laboratorium.
Co-Authors Alhafidz, Muhammad Fikri M. Rhifky Wayahdi Ramadhan, Wisnu