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All Journal Jurnal technoscientia Jurnal Informatika dan Teknik Elektro Terapan Information System for Educators and Professionals : Journal of Information System Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL ILMIAH INFORMATIKA JURIKOM (Jurnal Riset Komputer) Jurnal Informasi dan Komputer JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal Tekno Kompak Jurnal ICT : Information Communication & Technology Jurnal Manajemen Komunikasi Jurnal Informatika dan Rekayasa Perangkat Lunak JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) E-Link: Jurnal Teknik Elektro dan Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Informatika Terpadu Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika dan Teknologi Informasi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi JURSIMA Jurnal Teknologi Ilmu Komputer AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Sistem Informasi dan Manajemen Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Informasi interaktif : jurnal informatika dan teknologi informasi
Gifthera Dwilestari
STMIK IKMI Cirebon
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Journal : MEANS (Media Informasi Analisa dan Sistem)

 1 
RANCANG BANGUN APLIKASI PENGAJUAN PEMBUATAN KTP ONLINE BERBASIS WEB DI KELURAHAN ARGASUNYA KOTA CIREBON Kencana, Junaedi Surya; Dwilestari, Gifthera; Dana, Raditya Danar; Ajiz, Abdul; Kaslani
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.038 KB) | DOI: 10.54367/means.v7i1.1825

Abstract

Argasunya village is an institution responsible for the management of community data in a government environment. The need for public service will involve the state as a public service provider and individual citizens as recipients. But there is no application about the design of the application for the creation of E-KTP online, for that the author tried to make the Final Task regarding the Application for Submission of E-KTP Online which until now has not existed in Argasunya Village. In the process of collecting data with the aim to solve the problem, the author uses methods with data collection techniques, namely by observation and interview. And to design the application, the author used prototype development methods. In order to solve the problem, an application was made to make E-KTP Online. The final result obtained in this study is an application that can make it easier for people to create E-KTP. With some of the advantages that this application has, the application for the creation of E-KTP Online should be able to further alleviate the tasks given to the village. It is expected that this application will always be well controlled in terms of accuracy and data validation can be accounted for so that the information generated will be even better.
Clustering Data Persediaan Barang Dengan Menggunakan Metode K-Means Ramdhan, Dadan; Dwilestari, Gifthera; Dana, Raditya Danar; Ajiz, Abdul; Kaslani
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1056.632 KB) | DOI: 10.54367/means.v7i1.1826

Abstract

UD. Anugerah Sukses Mandiri merupakan perusahaan yang bergerak dibidang distribusi food dan non food. Transaksi barang yang berjalan terus meningkat, sehingga perusahaan mengalami permasalahan dalam menentukan jumlah persediaan barang, dikarenakan jumlah permintaan barang yang dibutuhkan selalu berubah setiap waktu. Persediaan barang merupakan suatu aktivitas lancar yang meliputi barang-barang milik perusahaan dengan maksud dijual kembali pada suatu periode usaha normal. Data mining merupakan proses yang menggunakan teknik statistik, matematika, kecerdasan buatan dan machine learning untuk mengekstraksi dan mengidentifikasi informasi yang terkait dari berbagai warehouse. Tujuan penelitian ini dengan memanfaatkan data mining yaitu untuk melakukan pengelompokan barang dan meningkatkan akurasi klasterisasi data persediaan barang dengan menggunakan metode K-Means Clustering. Dengan metode K-Means ini dapat mempartisi data ke dalam kelompok sehingga data berkarakteristik sama akan dimasukan ke dalam satu kelompok yang sama dan data yang berkarakteristik berbeda dikelompokan kedalam kelompok yang lain, karena metode ini menggunakan centroid (rata-rata) sebagai model dari cluster. Hasil penelitian yang didapat berupa pengelompokan data menjadi 2 kluster yaitu data dengan kluster terendah/sedikit dan kluster tertinggi/terbanyak. Sehingga mendapatkan kesimpulan bahwa clustering persediaan barang dengan menggunakan metode K-Means ini cukup baik dari sisi nilai average within distance dan kompleksitas waktu. Keyword : Data Mining, K-Means Clustering, Persediaan barang
Penerapan Algoritma Decision Tree Dalam Penentuan Karyawan Kontrak Alibasyah, Aziz; Ajiz, Abdul; Dwilestari, Gifthera; Kaslani; Wahyudin, Edi
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.756 KB) | DOI: 10.54367/means.v7i1.1844

Abstract

The problem that arises at this time is a complicated evaluation (assessment) process, meaning that what often happens now is that contract employees who get promoted to permanent employees are only seen on one criterion, but the employee is not necessarily superior on several other criteria. but still get promotions for permanent employees. And there are several problems that exist today, namely the process of evaluating contract employees which is still subjective. Data mining using the decision tree method is widely used to deal with problems with large amounts of data. This decision tree method is a classification method that is widely used because its construction is relatively fast, the results of the model built are easy to understand and the prediction results are very strong so that they can assist in decision making. This study uses 4 criteria, namely Achievement, Ability, Personality and Results. Prediction results accuracy obtained is 91.54% with the following details. Prediction results are accepted and it turns out to be true, 72 data are accepted. Prediction Result Accepted and it turns out True Not Accepted for 14 Data. Prediction Results Not Accepted and it turns out True Accepted 1 Data. Prediction Results Not Accepted and in fact True Not Accepted Amounting to 91 Data.
Co-Authors Abdul Ajiz Abdul Ajiz, Abdul Abdul Rauf Chaerudin Abdullah Syafii Abdullah Syafii Aby Febrian Ade Irma Purnamasari Ade Irma Purnamasari Ade Kurnia, Dian Ade Rizki Rinaldi Agis Maulana Robani Agung Nugraha agus bahtiar Ahmad Faqih Ahmad Faqih Ahmad Rifa'i Ahmad Zam Zami Aldiani, Dea Alia Cahyani, Cica Alibasyah, Aziz Amal Rois, Moh. Ichlasul Ananda Rafly Andi Suandi Anita Nur Kirana Anwar Musaddad Apriliyani, Ela Arif Rinaldi Dikananda Arifin, Bagas Adam Athhar Hafizha Luthfi Auliya Azmi Afifah, Turfa Bagas Al Haddad Bambang Siswoyo Basysyar, Fadhil Muhammad Caswadi, Caswadi Chaerudin, Chaerudin Cindyk Irawanto Dadang Sudrajat Dea Miftahul Huda Dessy Angelina Destriyanah, Riska Dian Ade Kurnia Dias Bayu Saputra Dienwati Nuris, Nisa Dienwati, Nisa Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dzaffa 'Ulhaq Edi Tohidi Edi Tohidi Eka Permana, Sandy Fadhil Muhammad Basysyar Fadhil Muhammad Basysyar Fajar Fauzan, Muhammad Fajar Maulana Adji, Moh Fajria, Azzahra Moudy Fasa, Saefullah Fathurrohman Fathurrohman Fatihanursari Dikananda Faujia, Agnes Fithrah Ali, Dini Salmiyah Fuadi Ahmad, Cecep Hamonangan, Ryan Haris Abdul Hadi Herdiana, Rulli Hermawan, Bagus Hermawan, Muhammad Andi Hilya Ashfia Nabila Himawan, Irvan Hira Wahyuni Azizah Hoeriah, Dede Hoerunnisa, Anis Iin Iin Solihin Irfan Ali Irfan Ali Irfan Ali, Irfan Irma Agustina Irma Purnamasari, Ade Irvan Himawan Jayawarsa, A.A. Ketut Karimah, Ayu Kaslani Kencana, Junaedi Surya Khoirul Huda, Muhammad Kokom Komariyah Lestari, Anjar Ayuning Martanto . Mar’atun Sholihah, Oliffia Maulana Sidiq, Cecep Mochamad Aditya Sunaryo Muhammad Abdurohman Muhammad Basysyar, Fadhil Mulyawan Mulyawan, Mulyawan Musliyadi, Mar'i Muzaki, Fazri Nana Suarna Nana Suarna Nana Suarna Narasati, Riri Narasati Nining R Nining Rahaningsih Nisa Dieanwati Nuris Nur Amalia Nur Kirana, Anita Nuraini, Asyifa Nurhakim, Bani Nurul Aini, Yuli NURUL HIDAYAH Nurwahidah, Dalilah Odi Nurdiawan Odi Nurdiawan Permana, Sandy Eka Pratama, Denni Prihartono, Willy Puspita Maulana Arumsari R, Nining Raditya Danar Dana Raena Agustin Laeliyah Rahaditya Dasuki Ramdhan, Dadan Ramiro Firjatullah, Federicko Ranu Husna Riyana, Iis Rizki Fauzi, Ahmad Rizqy, Muhammad Enricco Rosmeri Manurung, Agnes Rudi Kurniawan Saeful Anwar Saeful, Agung Saefullah Fasa Saepu Qirom, Dani Saepudin, Asep Saepul Hadi Sagita, Ayu Salsabila, Putri Septiana, Angga Sri Suwartini Suandi, Andi Suarna, Nana Subhiyanto, Fajar Sunana, Heliyanti Suryani Dewi, Ike Susana, Heliyanti Syafi'i Syafi'i Syafi'i, Syafi'i Tati Suprapti Tohidi, Edi Tuti Hartati Umi Hayati Vibrianti, Vera Wahyudin, Edi Wulan Suci, Salwa Yubi Aqsho Ramadhan