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All Journal Jurnal TIMES Sinkron : Jurnal dan Penelitian Teknik Informatika Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Informatika Kaputama (JIK) Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Pengabdian Masyarakat Nauli
Indra Kelana Jaya
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences

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Journal : Majalah Ilmiah METHODA

 1 
SISTEM INFORMASI MARKETPLACE PENYEWAAN PROPERTI (KOST) KHUSUS WILAYAH KOTA MEDAN BERBASIS WEB Melani Feruche; Darwis Robinson Manalu; Indra Kelana Jaya
Majalah Ilmiah METHODA Vol. 8 No. 3 (2018): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol8No3.pp92-99

Abstract

Sistem informasi marketplace penyewaan kost di wilayah kota medan berbasis web ini dibuat karena kebutuhan mahasiswa atau pendatang akan informasi tempat kost. Pembuatan sistem informasi kost ini bertujuan untuk membantu para pencari kost yang sebagian besar mahasiswa baru yang belum tahu tentang daerah sekitar Medan. Masyarakat pendatang yang dari luar kota Medan pastilah membutuhkan tempat tinggal atau kost sebagai tempat tinggalnya. Maka dari itu si calon penyewa memerlukan informasi yang benar, akurat dan lengkap mengenai kost yang akan mereka tempati. Untuk itu dibuatlah sebuah sistem informasi yang mengelola data iklan kost khusus diwilayah kota medan. Sistem ini menyediakan informasi kost mulai dari informasi tempat, harga, foto kamar dan fasilitas semua tersedia di sistem ini. Level admin sistem ini ditambahi fitur lihat data member, lihat data iklan,lihat semua testimoni, lihat semua pertanyaan dan mencetak rekap data iklan perbulan. Implementasi pembuatan sistem ini menggunakan Web, basis data MySQL, dan bahasa pemrograman PHP. Sistem ini dapat mempermudah calon penyewa dalam mencari tempat tinggal di wilayah kota Medan. Selain itu sistem ini juga dapat memberi informasi tentang kost secara detail sehingga pemilik kost tidak perlu menjelaskan lagi kepada calon penyewa.
PERANCANGAN DAN PEMBUATAN WEBSITE MARKETPLACE UNTUK PEMESANAN DAN PENJUALAN KOMODITAS PERTANIAN PADA KELOMPOK TANI (SENTANI SEJAHTERA) DOLOK SANGGUL Mariana Tri Susanti; Fati Gratianus Nafiri Larosa; Indra Kelana Jaya
Majalah Ilmiah METHODA Vol. 8 No. 2 (2018): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol8No2.pp20-30

Abstract

Today the marketplace plays an important role in providing ease of service for sellers and buyers, especially in the Sentani Sejahtera Farmers Group in Dolok Sanggul, North Sumatera. The existence of this marketplace website, buyers and sellers do not have to meet directly to carry out the process of trading agricultural commodities. The application of the marketplace system is to help farmers to inform and to sell their agricultural products to outside parties quickly through the concept of a website marketplace. The method used in this design is the Waterfall Method and Data Flow Diagram (DFD) as a system design tool. This application is also made using the Pre Hypertext Processors (PHP) programming language and uses MySQL as a database and other supporting software. With this application, it makes it easy for Sentani Sejahtera Dolok Sanggul farmer groups to sell their agricultural products easily and provide efficient and clear information to customers.
PENERAPAN ALGORITMA C4.5 DALAM MENGUKUR TINGKAT KEPUASAN NASABAH PADA PT BANK MUAMALAT INDONESIA KCU MEDAN BARU BERBASIS WEB Azli, Putri; Jaya, Indra Kelana; Ambarita, Indah
Majalah Ilmiah METHODA Vol. 13 No. 2 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the field of service providers, sharia banking and conventional banking have differences in their characteristics which lie in the practice of running business operations, where operations are based on sharia principles, and this principle is the main attraction for customers to utilize sharia bank services. Quality of service is a key factor that will become a competitive advantage in today's banking world. This happens because the bank as a service company has the characteristic of being easy to imitate a product that has been marketed. The measurement method for determining customer satisfaction at Bank Muamalat is by applying data mining, where customer data that makes transactions will be inputted into the system and then processed using the C4.5 method with predetermined criteria. Data mining is a process of finding meaningful relationships, patterns and trends by examining large sets of data stored in storage using pattern recognition techniques. According to Algorithm C4.5 is an algorithm used to form a decision tree.
Optimasi Algoritma Genetika pada Perbandingan ANN dan KNN untuk Klasifikasi Penyakit Jantung Zai, Andreas; Rambe, Lima Hartima; Putra, Reza Ananda; Rosnelly, Rika; Sagala, Tamado Simon; Jaya, Indra Kelana
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp10-23

Abstract

A comparative analysis of genetic algorithm optimization methods on the performance of Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) in heart disease classification shows significant results. The research used a heart disease dataset consisting of 303 samples with 14 attributes. Genetic algorithm optimization produced substantial performance improvements in both models. The optimized ANN model achieved 94.85% accuracy, 93.00% precision, 97.00% recall, and 97.00% ROC AUC, demonstrating excellence in positive case identification. Meanwhile, the optimized KNN model achieved 93.30% accuracy, 92.00% precision, 95.00% recall, and 96.77% ROC AUC, yielding more balanced performance. The genetic algorithm optimization method proves its effectiveness in improving heart disease classification accuracy, where ANN is optimal for applications requiring high sensitivity and KNN is more stable for small datasets.
PENERAPAN ALGORITMA C4.5 DALAM MENGUKUR TINGKAT KEPUASAN NASABAH PADA PT BANK MUAMALAT INDONESIA KCU MEDAN BARU BERBASIS WEB Azli, Putri; Jaya, Indra Kelana; Ambarita, Indah
Majalah Ilmiah METHODA Vol. 13 No. 2 (2023): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No2.pp189-194

Abstract

In the field of service providers, sharia banking and conventional banking have differences in their characteristics which lie in the practice of running business operations, where operations are based on sharia principles, and this principle is the main attraction for customers to utilize sharia bank services. Quality of service is a key factor that will become a competitive advantage in today's banking world. This happens because the bank as a service company has the characteristic of being easy to imitate a product that has been marketed. The measurement method for determining customer satisfaction at Bank Muamalat is by applying data mining, where customer data that makes transactions will be inputted into the system and then processed using the C4.5 method with predetermined criteria. Data mining is a process of finding meaningful relationships, patterns and trends by examining large sets of data stored in storage using pattern recognition techniques. According to Algorithm C4.5 is an algorithm used to form a decision tree.
Co-Authors Albert Harianja Ambarita, Indah Aritonang, Mendarissan Azli, Putri Berlian Juni R Marpaung Dandi Daniel Siregar Darwis Robinson Manalu DEWI SARTIKA Dian Agaventa, Chrissandro Dumayanti, Imelda Sri Ericho Elovando Surbakti Eva Julia Gunawati Harianja Eva Julia Gunawati Harianja, Eva Julia Gunawati Fajar Fati Gratianus Nafiri Larosa Feruche, Melani Gea, Asaziduhu Girsang, Jhon Vebrianto Harlen G. Simanullang Harlen Gilbert Simanullang Helen Fransisca Simanungkalit Humuntal Rumapea Imelda Sri Dumayanti Jeudi A. T. P. Sianturi Jimmy F. Naibaho Larosa, Fati G. N. Larosa, FGN Larosa Lyna M. N. Hutapea Manurung, Samuel Mariana Tri Susanti Marpaung, Berlian Juni R Marzuki Sinambela Marzuki, Sinambela Melani Feruche Mufria J. Purba Naibaho, Jimmy F. Naikson Fandier Saragih Nine Situmeang Nova Soraya Simanjuntak Panjaitan, Efdi Sarjono Pujiastuti, Maria Putra, Reza Ananda Rambe, Lima Hartima Resianta Perangin-Angin Rika Rosnelly, Rika Rimbun Siringoringo, Rimbun Rumahorbo, Benget Sagala, Tamado Simon Samuel Van Basten Manurung Saragih, Naikson F. Silalahi, Arina Prima Silalahi, Veraci Simanullang, Harlen Simanullang, Harlen Gilbert Simbolon, Anita Ira Agustina Sinambela Marzuki Siska Narulita Siboro Surianto Sitepu Surianto Sitepu Susanti, Mariana Tri Tarigan, Kerista Widya Ompusunggu Yohanna, Margaretha Yolanda Y. P. Rumapea yolanda yulianti pratiwi rumapea Zai, Andreas