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PENERAPAN METODE CLUSTERING K-MEANS PADA HASIL PROSES DATA MINING TRANSAKSI PENJUALAN PRODUK Rini Nuraini Sukmana; Herna Gunawan; Indriyanto Indriyanto
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 4 No 1 (2015): TEKNOLOGI INFORMASI & KOMUNIKASI EDISI 4
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.12 KB)

Abstract

Data mining adalah proses menemukan pola atau informasi yang menarik dari data dalam jumlah besar, data dapatdisimpan dalam database, data warehouse, atau penyimpanan informasi lainnya. Clustering termasuk metode yangsudah cukup dikenal dan banyak dipakai dalam data mining. Clustering tidak mengklasifikasikan, meramalkan, ataumemprediksi nilai dari sebuah data, melainkan digunakan untuk menentukan segmen keseluruhan himpunan datamenjadi subgroup yang relatif sama.Metodologi pembangunan perangkat lunak menggunakan metode waterfall terhadap permasalahan yang timbul dalampenerapan data mining dengan metode clustering k-means. Untuk perancangan sistem menggunakan UML (UnifiedModeling Language).Pada laporan ini dirancang sebuah penerapan data mining dengan metode clustering k-means yang dibangunmenggunakan bahasa pemrograman PHP dan MySQL sebagai database, serta framework CodeIgniter untukmendukung dalam pembuatan aplikasi data mining
IMPLEMENTASI ALGORITMA FUZZY C-MEANS PADA PENGELOMPOKAN SISWA PKL: (Studi Kasus : SMK MUTIARA SALAWU) Uro Abdulrohim; Siti Adawiah; Herna Gunawan
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 9 No 2 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (927.378 KB) | DOI: 10.58761/jurtikstmikbandung.v9i2.122

Abstract

Mutiara Salawu Vocational School also participates in government programs to carry out PKL. However, PKL at SMK Mutiara Salawu is different as it does with other SMKs, it does not mean that there is nothing but rarely SMKs that direct their students to PKL in a place that has been determined based on the specified report cards. Because Salawu Mutiara Vocational School places PKL students who have been determined by the school, it is necessary to have a supportive system for classifying students based on the specified report cards. Implementation of Fuzzy C-Means algorithm to classify street vendors students based on their respective report cards. The results of this implementation are in the form of software that can be used as a tool to help schools classify PKI class XI students based on report cards to help prepare PKL placement as desired by the street vendors chosen by the school using the Fuzzy C- algorithm Means Based on the test results, the grouping of street vendors students can be concluded that this grouping can produce output in accordance with what users expect. Keywords: Algorithms, Fuzzy C-Means, Grouping students
APLIKASI PELAYANAN SERVICE SEPEDA MOTOR Indra Maulana Yusup Kusumah; Mochammad Syaiful; Herna Gunawan
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2016): TEKNOLOGI INFORMASI & KOMUNIKASI EDISI 5
Publisher : LPPM STMIK BANDUNG

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Abstract

The addition of motor vehicle population is increasing every year, for it was the same vehicle used should always be in good condition. Needs service for motorcycles into a routine needs to be done by the user. Therefore it takes an application support service motorcycle service to customers. The method used in the service motorcycle service is Prototype method where data collection techniques that are used, among others, interviews and observations. The design method in this design step will be described by use case diagrams, activity diagrams, sequence diagrams, class diagrams. The software used is PHP, MySQL, phpMyAdmin.From the results of this study, researchers will design an application that can process data service motorcycle service which is expected to facilitate and improve services. Keywords: Motorcycle repair, service online, the website application.
SISTEM INFORMASI MANAJEMEN DISTRIBUSI (STUDI KASUS : PT ARDERAMA MANDIRI) Dani Pradana Kartaputra; Herna Gunawan; Naifal Shidqi Kurniawan
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 11 No 2 (2022): JURTIK: Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.131 KB) | DOI: 10.58761/jurtikstmikbandung.v12i2.177

Abstract

PT. Arderama Mandiri is a company engaged in distributors and importers,distributing printed goods, office equipment, musical instruments, computer fittings and software, etc. The delivery of goods has become more widespreadin 2011. At this time the company is increasingly showing an increase, namely the increasing number of consumers who order goods, the increase achieved sometimes even causes problems such as the number of consumerswho complain because of long delivery times, the warehouse department has difficulty monitoring the delivery of goods to consumers. Reflecting on this problem, it is necessary to build a system that can monitor the distribution ofgoods effectively. Website- based Distribution Management Information System is an information system built using the waterfall Software Development Life Cycle (SDLC) method which has 6 stages including System Engineering, Analysis,Design, Coding, Testing and Maintenance. This method is done by looking atand analyzing the problem using the Unified Modeling Language (UML). Then design a solution in the form of a wireframe website for an informationsystem, if it's finished then go to the Coding stage or build a system using the PHP programming language and the Laravel framework
DETEKSI ALFABET BISINDO MENGGUNAKAN MEDIAPIPE HOLISTIC SECARA REAL-TIME Dani Pradana Kartaputra; Herna Gunawan
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 12 No 1 (2023): JURTIK: Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i1.183

Abstract

The resulting system will detect and classify gestures or movements that speak the B language contained in it directly using a holistic mediapipe to detect the skeleton on the hands, body, and face and use a landmark model of poses, faces and each to generate a total of 543 landmarks. (33 pose landmarks, 468 facial landmarks, and 21 hand landmarks).
RANCANG BANGUN SISTEM INFORMASI PENGUKURAN TINGKAT KEPUASAN NASABAH TERHADAP PELAYANAN PROGRAM SAHABAT DAYA UNIVERSITAS (SDU) PADA PT. BTPN SYARIAH MENGGUNAKAN METODE SERVQUAL & IMPORTANCE PERFORMANCE ANALYSIS GAP Uro Abdurohim; Herna Gunawan; Sri Handayani Togatorop
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2023): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i2.112

Abstract

Persaingan di bidang layanan jasa perbankaan di Indonesia semakin pesat dan ketat. Hal ini lah yang mendorong PT. Btpn Syariah selalu berupaya untuk memberikan nilai tambah dan membuat perbedaan dalam kehidupan setiap nasabah yang dilayani, dalam memberikan kinerja pelayanan yang baik sehingga btpn membuat program yang dimana membantu para nasabah untuk meningkatkan kapasitas pengetahuan dan keterampilan secara terukur dan berkelanjutan, pendampingan meliputi kapasitas nasabah. Untuk mempertahankan program sahabat daya universitas (sdu) dilakukanlah pengukuran tingkat kepuasan nasabah kepada nasabah yang telah mengikuti program sdu.Berdasarkan penjelasan di atas dapat disimpulkan untuk mengatasi permasalahan yang terjadi dapat di pecahkan menggunakan sistem informasi pengukuran tingkat kepuasan nasabah dengan mengunakan dimensi metode servqual dan pengukuran mengunakan metode ipa gap. Metode ini akan membantu dalam pengumpulan data yang diambil melalui kuesioner dan menganalisis tiap-tiap variabel yang akan dijadikan pertanyaan pada kuesioner. Melalui ini akan diketahui apa saja yang mempengaruhi harapan nasabah terhadap kualitas pelayanan program sdu pada Pt. Btpn Syariah.
DETEKSI ALFABET BISINDO MENGGUNAKAN MEDIAPIPE HOLISTIC SECARA REAL-TIME Dani Pradana Kartaputra; Herna Gunawan; Asri Eka Lestari
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2023): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i1.4652

Abstract

The resulting system will detect and classify gestures or movements that speak the B language contained in it directly using a holistic mediapipe to detect the skeleton on the hands, body, and face and use a landmark model of poses, faces and each to generate a total of 543 landmarks. (33 pose landmarks, 468 facial landmarks, and 21 hand landmarks).
PENERAPAN PEMBELAJARAN MESIN MENGGUNAKAN ALGORITMA REGRESI LINIER UNTUK PREDIKSI HARGA RUMAH Mina Ismu Rahayu; Herna Gunawan; Nurul Hikmah Rafika Dewi
Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2024): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v13i1.812

Abstract

Harga properti terindikasi tumbuh secara meningkat di pasar primer untuk setiap tahunnya berdasarkan survei Bank Indonesia (BI) untuk Survey Harga Properti Residensial (SHPR) pada kuartal I-2022. Kenaikan IHPR terjadi untuk hampir seluruh tipe rumah. Pertumbuhan untuk Tipe rumah kecil sebesar 2,01%, Pertumbuhan untuk Tipe rumah menengah sebesar 2,18%, dan Pertumbuhan untuk Tipe rumah besar sebesar 1,11%. Sedangkan pada kuartal II-2022, pertumbuhan diperkirakan terbatas sebesar 1,16%. Prediksi harga properti akan sangat dibutuhkan masyarakat terutama masyarakat yang berminat memiliki properti dengan spesifikasi yang diinginkan. Penelitian ini melakukan prediksi harga rumah dengan menerapkan pembelajaran mesin dengan studi kasus data di Pondok Sabilulungan Permai. Data yang digunakan merupakan data tahun 2018-2023. Tujuan penelitian ini adalah membangun aplikasi prediksi harga rumah. Menggunakan RMSE (Root Mean Squared Error) untuk penghitung eror. Hasil prediksi menggunakan regresi linier memiliki eror sebesar 0.66. Berdasarkan hasil model regresi linier didapatkan akurasi sebesar 90.08% yang menunjukan bahwa sistem ini sudah baik.
SISTEM INFORMASI MANAJEMEN DISTRIBUSI STUDI KASUS PT ARDERAMA MANDIRI Dani Pradana Kartaputra; Herna Gunawan; Naufal Sidqi Novian
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2022): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i2.177

Abstract

PT. Arderama Mandiri is a company engaged in distribution and importation, handling printed goods, office equipment, musical instruments, computer accessories, software, and more. Since 2011, the company's delivery scope has expanded significantly. With the increasing number of consumers placing orders, the company has encountered issues such as customer complaints about long delivery times and difficulties in the warehouse department with monitoring deliveries. To address these challenges, it is necessary to develop a system that can effectively monitor the distribution of goods. The Website-based Distribution Management Information System is designed using the waterfall Software Development Life Cycle (SDLC) method, which includes six stages: System Engineering, Analysis, Design, Coding, Testing, and Maintenance. This approach involves analyzing the problem with Unified Modeling Language (UML), designing a solution in the form of a wireframe for the information system, and then proceeding to the Coding stage where the system is built using PHP and the Laravel framework.
IMPLEMENTASI ALGORITMA FUZZY C-MEANS PADA PENGELOMPOKAN SISWA PKL: (Studi Kasus: SMK MUTIARA SALAWU) Uro Abdurohim; Siti Adawiah; Herna Gunawan
Jurnal Teknologi Informasi dan Komunikasi Vol. 9 No. 2 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v9i2.122

Abstract

Mutiara Salawu Vocational School also participates in government programs for carrying out PKL. However, PKL at SMK Mutiara Salawu is different from other SMKs. While it is not absent, it is rare for SMKs to direct their students to PKL at locations determined based on specific report card criteria. Since SMK Mutiara Salawu places PKL students according to the school's determination, a supportive system is needed to classify students based on the specified report cards. The implementation of the Fuzzy C-Means algorithm is used to classify PKL students based on their respective report cards. The results of this implementation are in the form of software that can be used to help schools classify XI grade PKL students based on report cards, thereby assisting in the preparation of PKL placements according to the preferences of the chosen PKL sites using the Fuzzy C-Means algorithm. Based on the test results, it can be concluded that the grouping of PKL students produces output that meets user expectations.
Co-Authors Asri Eka Lestari Dani Pradana Kartaputra Indra Maulana Yusup Kusumah Indriyanto Indriyanto Mochammad Syaiful Naifal Shidqi Kurniawan Naufal Sidqi Novian Nurul Hikmah Rafika Dewi Rahayu, Mina Ismu Rini Nuraini Sukmana Siti Adawiah Sri Handayani Togatorop Uro Abdulrohim Uro Abdurohim