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All Journal Jurnal Informatika dan Teknik Elektro Terapan JATI (Jurnal Mahasiswa Teknik Informatika) MEANS (Media Informasi Analisa dan Sistem) BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Informasi interaktif : jurnal informatika dan teknologi informasi
Hamonangan, Ryan
Unknown Affiliation
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing

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Pengembangan Sistem Informasi Data Penduduk Desa Cengal Hasan, Fujiyanto; Agita, Prissilia; Aditya, Dede; Hamonangan, Ryan
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1150.039 KB) | DOI: 10.54367/means.v6i2.1514

Abstract

Population data processing is a main activity carried out by the Government Section of Cengal Village, Maja District, Majalengka Regency on an ongoing basis. Where the current system often finds difficulties when searching for population data, duplication of data is found as a result of ordered population data collection and the occurrence of damage and data loss as a result of the existing storage media only in the form of documents. The purpose of this research is to design a population data processing application in Cengal village. The system development method used is the waterfall method with PHP and MYSQL scripts as database managers. This population data application is designed and built in order to help facilitate the search for population data and processing population data regarding births, deaths, immigrants and relocations, reducing the occurrence of damage and loss of population data due to storage media in the form of documents and can shorten operational time. With the storage media in the form of a good database, it can improve the performance of the government section in serving and presenting population information to the public so that it is better, faster and the application used can provide convenience to the user
RANCANG BANGUN SISTEM INFORMASI PORTAL BERITA BERBASIS WEB PADA DINAS PEMUDA DAN OLAHRAGA KABUPATEN CIREBON Pratama, Hilda Fidyah Hadi; Hamonangan, Ryan; Herdiana, Ruli; Tohidi, Edi; Hayati, Umi
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 (646.917 KB) | DOI: 10.54367/means.v7i1.1856

Abstract

The Cirebon Regency Youth and Sports Office (Dispora Cirebon) is a regional work unit that is given the mandate and duties and responsibilities in handling development in the Youth and Sports Sector in the Cirebon Regency environment. In this day and age, a touch of Information System technology such as a website must have become a necessity for government agencies, as a support for more centralized, accurate, and fast information. However, there was no website-based information system at the Cirebon Dispora as a medium for disseminating information at that time. The writer uses primary data sources (Observation and Interview) and secondary data sources (Documentation Study). For system design, the author uses the SDLC (System Development Life Cycle) method. The final result obtained is a website-based Information System, which can provide information about profiles, activities or articles about Dispora Cirebon to the wider community. With several advantages of website technology, the Website-Based News Portal Information System is expected to expand the reach of information dissemination to all aspects of society.
PENERAPAN ALGORITMA FP GROWTH PADA PENJUALAN PRODUK DISTRO RADEN MADURA Putra, Arya Kamandanu; Hamonangan, Ryan; Herdiana, Ruli; Tohidi, Edi; Hayati, Umi
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 (661.226 KB) | DOI: 10.54367/means.v7i1.1858

Abstract

The transaction data for the purchase of the distro's cost of selling is quite stable but its sales are less than the sales target, so it is necessary to manage sales data. The focus of this research is focused on the management of purchase transaction data that will be used as a dataset. The management uses the FP-Growth algorithm which takes from the item set, from the algorithm it gets a buying pattern that will become information for making a decision. Based on the results of the study, the authors conclude that the pattern of purchases by consumers gets a pattern of sales, namely, consumers by buying 1 item of T-shirts from distributions will buy back one item of T-shirts from 26 different distributions. consumers by buying 2 items of t-shirts distributions will buy back 1 item of t-shirts from different distributions as many as 72 patterns, and consumers by buying 3 items of t-shirts distributions will buy back 1 item of t-shirts with different distributions of 25 patterns.
RANCANG BANGUN E-COMMERCE BERBASIS WEB UNTUK UMKM BATIK Nugraha, Syahrul; Hamonangan, Ryan; Dana, Raditya Danar; Tohidi, Edi; Hayati, Umi
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 (754.963 KB) | DOI: 10.54367/means.v7i1.1859

Abstract

In the sales process carried out by batik craftsmen who are in Trusmi village, namely still selling their batik cloth to the sorum of batik sellers, so that the craftsmen take profits from selling their batik cloth only slightly, because the batik cloth will be resold by the sorum of batik sellers. In terms of application development, the author uses the Software Development Life Cycle (SLDC) model with an approach using the waterfall method, while the stages use the waterfall method, namely communication, planning, modeling, construction, and deployment. Therefore, the author makes an application for selling batik cloth that aims to break the chain of batik cloth sales, so that craftsmen can get greater profits because they directly sell their products to consumers without going through a batik seller sorum. The final result obtained in this study is an application for selling batik cloth which is expected to help batik craftsmen in Trusmi village in selling their batik cloth directly to consumers without having to go through the center of batik sellers. In the sales process carried out by batik craftsmen who are in Trusmi village, namely still selling their batik cloth to the sorum of batik sellers, so that the craftsmen take profits from selling their batik cloth only slightly, because the batik cloth will be resold by the sorum of batik sellers. In terms of application development, the author uses the Software Development Life Cycle (SLDC) model with an approach using the waterfall method, while the stages use the waterfall method, namely communication, planning, modeling, construction, and deployment. Therefore, the author makes an application for selling batik cloth that aims to break the chain of batik cloth sales, so that craftsmen can get greater profits because they directly sell their products to consumers without going through a batik seller sorum. The final result obtained in this study is an application for selling batik cloth which is expected to help batik craftsmen in Trusmi village in selling their batik cloth directly to consumers without having to go through the center of batik sellers.
Rancang Bangun Aplikasi E-Sertifikat Berbasis Web pada DPK Apindo Kota Cirebon Syafiq, Mohammad Sayyid; Hamonangan, Ryan; Dana, Raditya Danar; Tohidi, Edi; Hayati, Umi
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 (575.884 KB) | DOI: 10.54367/means.v7i1.1860

Abstract

DPK APINDO Kota Cirebon is an association consisting of Entrepreneurs and or Companies domiciled in Cirebon City. Every member registered with DPK APINDO Kota Cirebon has a certificate as proof that the company has become a member. However, the creation of this membership certificate is still manual so that in the creation of the certificate takes a long time and is inefficient, for that the author tries to make the final task regarding the e-certificate application of membership in DPK APINDO Kota Cirebon. In solving this problem, the author designing the application uses prototype development methods. E-certificate membership application was created based on the website in DPK APINDO Kota Cirebon by using the PHP programming language with mysql as a database and And FPDF is a PHP library that serves as converting PHP syntax into PDF.
Rancang Bangun Aplikasi Persediaan Barang pada Toko Endo Tani Arianto , Adji; Amalia, Dita Rizki; Dana, Raditya Danar; Ajiz, Abul; Hamonangan, Ryan
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 (654.622 KB) | DOI: 10.54367/means.v7i1.1905

Abstract

ABSTRACT - In this modern era, technology is developing rapidly in various aspects of life, where technology that is already known for its effectiveness has also begun to be widely used both from the education sector, government, and in the trade sector. Endo Tani shop is a type of trading business that sells various types of agricultural fertilizers, which is located at Jl. Parakan - Trajaya Blok Rabu RT/RW 004/005 Parakan Leuwimunding Village. As for the problems that exist at the Endo Tani Store, the data processing of incoming goods and outgoing goods is still using a manual system, namely by writing in books or on paper that has been provided, the data search process becomes constrained and inefficient because they have to search first in the document. This is of course less effective and efficient, considering that paper bags can be damaged or lost, which allows inventory data to be lost. Therefore, there is a need for a solution to these problems, namely designing a computerized inventory system. In the process of collecting data with the aim of solving problems, the authors use primary data sources, namely (Observation and Interview). The software methodology used for development is the prototype method, this inventory system is built using the PHP (Hypertext Preprocessor) programming language and the data is stored in a MySQL database. The final result obtained in this study is an inventory application that is expected to help and facilitate shop owners in processing goods data, searching for goods, and being able to produce the information and reports needed quickly, precisely, and accurately.
Implementasi Algoritma CNN dalam Sistem Absensi Berbasis Pengenalan Wajah Aldiani, Dea; Dwilestari, Gifthera; Susana, Heliyanti; Hamonangan, Ryan; Pratama, Denni
Jurnal Informatika Polinema Vol. 10 No. 2 (2024): Vol 10 No 2 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i2.4852

Abstract

Pengembangan teknologi pengenalan wajah telah menjadi peluang untuk meningkatkan efisiensi sistem absensi. Penelitian ini bertujuan untuk mengimplementasikan algoritma Convolutional Neural Network (CNN) dalam sistem absensi berbasis pengenalan wajah. Keunggulan CNN dalam mengekstraksi fitur kompleks dari gambar menjadikannya pilihan yang potensial untuk meningkatkan akurasi pengenalan wajah dalam pengelolaan absensi. Penelitian ini menggunakan kumpulan dataset wajah yang beragam, mencakup variasi sudut pandang, ekspresi, dan kondisi pencahayaan. Data yang digunakan terdiri dari 20 kelas yang masing-masing memiliki 500 data wajah. Penerapan model CNN dimulai dengan perancangan arsitektur CNN sederhana dengan menambahkan lapisan konvolusi, pooling dan fully connected. Model CNN kemudian dilatih menggunakan data latih sebesar 85% dari keseluruhan data. Setelah model dilatih, selanjutnya dilakukan evaluasi model CNN melalui beberapa metrik evaluasi. Dari hasil evaluasi diperoleh tingkat akurasi yang baik sebesar 91%. Setelah memperoleh model CNN untuk pengenalan wajah, model CNN diimplementasikan dalam sistem absensi. Berdasarkan hasil implementasi algoritma CNN terhadap sistem absensi diperoleh proses absensi yang akurat dan efisien sehingga dapat mengatasi kecurangan dan manipulasi data serta meningkatkan efisiensi dalam manajemen kehadiran di berbagai lingkungan.
PREDIKSI DIABETES MELLITUS TIPE 2 DENGAN ALGORITMA LOGISTIC REGRESSION UNTUK PENDETEKSIAN DINI Gunawan, Sepriyan; Astuti, Rini; Prihartono, Willy; Hamonangan, Ryan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5747

Abstract

Diabetes Mellitus Tipe 2 merupakan penyakit kronis yang prevalensinya terus meningkat di dunia, termasuk Indonesia. Deteksi dini risiko diabetes penting untuk mencegah komplikasi serius. Penelitian ini bertujuan untuk menerapkan algoritma Logistic Regression dalam memprediksi risiko Diabetes Mellitus Tipe 2 menggunakan data kesehatan pasien dari Puskesmas Jatibarang. Data yang digunakan meliputi variabel umur, jenis kelamin, kebiasaan merokok, konsumsi alkohol, hasil IMT, tekanan darah sistole dan diastole, serta riwayat penyakit. Evaluasi model dilakukan menggunakan metrik akurasi, precision, recall, F1-score, dan AUC, serta diukur tingkat kesalahannya dengan RMSE. Hasil penelitian menunjukkan bahwa Logistic Regression memiliki performa baik dengan akurasi 82,51%, precision 88,04%, recall 89,76%, F1-score 88,89%, AUC 83,12%, dan RMSE sebesar 0.4182. Fitur utama yang berpengaruh terhadap prediksi adalah umur, pola makan (kurang sayur/buah), dan tekanan darah diastolik. Model ini efektif untuk deteksi dini risiko Diabetes Mellitus Tipe 2 dan dapat digunakan sebagai dasar pengambilan keputusan di fasilitas kesehatan primer.
PENERAPAN ALGORITMA NAIVE BAYES UNTUK ANALISIS SENTIMEN PENGUNJUNG DI PANTAI KEJAWANAN Apriliansyah, Rizal Dwi Rizki; Astuti, Rini; Prihartono, Willy; Hamonangan, Ryan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5774

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengunjung terhadap objek wisata Pantai Kejawanan dengan menggunakan algoritma Naïve Bayes. Sentimen diklasifikasikan menjadi dua kategori, yaitu positif dan negatif. Ulasan daring merupakan sumber data penting untuk memahami persepsi pengunjung terhadap destinasi wisata. Algoritma Naïve Bayes dipilih karena keunggulannya dalam menganalisis teks. Dataset terdiri dari 998 ulasan yang dikumpulkan melalui scraping menggunakan SerApi, dengan periode data dari 2020 hingga 2024. Analisis dilakukan melalui tahapan Knowledge Discovery in Databases (KDD), mencakup pemilihan data, pre-processing (pembersihan data, case folding, tokenisasi, penghapusan stopword, dan stemming), serta transformasi menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Dataset dibagi menjadi 70% data pelatihan dan 30% data pengujian sebelum penerapan algoritma. Hasil menunjukkan bahwa model mampu mencapai akurasi 78%, presisi 92%, recall 80%, dan F1-score 86%, yang mencerminkan performa baik dalam klasifikasi sentimen. Evaluasi menggunakan confusion matrix menunjukkan model konsisten dalam membedakan sentimen positif dan negatif. Analisis ini menunjukkan bahwa mayoritas ulasan pengunjung Pantai Kejawanan bersentimen positif, menggambarkan pengalaman yang memuaskan. Keywords: naïve bayes; objek wisata, data mining; analisis sentimen; pengunjung.
IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK MENINGKATKAN PEMASARAN PRODUK MINUMAN BOBA BERBASIS PYTHON (STUDI KASUS: KEDAI NGENYOD'S DESA BOGOR INDRAMAYU) Erpian, Soni; Astuti, Rini; Prihartono, Willy; Hamonangan, Ryan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6341

Abstract

Penelitian ini menganalisis pola pembelian produk di Kedai "Ngenyod'S", dengan menggunakan algoritma FP-Growth untuk meningkatkan strategi pemasaranPola pembelian pelanggan sangat penting untuk membuat strategi promosi yang lebih baik dan mengelola stok.  Salah satu masalah yang dihadapi adalah tidak memanfaatkan data transaksi secara efektif saat menentukan strategi pemasaran.  Akibatnya, tujuan penelitian ini adalah menerapkan algoritma FP-Growth untuk menemukan itemsets sering dan pola asosiasi yang dapat digunakan dalam strategi bisnis berbasis data.  Proses penelitian ini terdiri dari beberapa langkah: pengumpulan data transaksi, preprocessing data, penerapan algoritma FP-Growth, dan analisis hasil dengan mempertimbangkan nilai dukungan dan kepercayaan tertentu. Dataset yang digunakan mencakup 508 penjualan dengan atribut seperti tanggal penjualan, nama produk, jumlah penjualan, harga satuan, dan pendapatan total.  Hasil penelitian menunjukkan bahwa beberapa produk, seperti Milo Milk dan Milo Ori, memiliki pola pembelian yang kuat dengan keyakinan sebesar 70%. Pola ini memberikan wawasan untuk strategi pemasaran, seperti menerapkan promosi bundling atau diskon untuk produk terkait.  Selain itu, penelitian ini menemukan bahwa algoritma FP-Growth lebih efisien dalam analisis data transaksi dibandingkan dengan metode konvensional. Kesimpulannya adalah bahwa penggunaan algoritma FP-Growth dapat membantu bisnis menemukan pola pembelian pelanggan, meningkatkan efisiensi pemasaran, dan mengoptimalkan manajemen stok. Studi ini membantu mengembangkan sistem rekomendasi berbasis pola pembelian yang dapat digunakan dalam bisnis ritel, terutama usaha kecil dan menengah.  Memperluas atribut dataset dan menggabungkan teknik lain seperti algoritma Apriori untuk mendapatkan hasil yang lebih lengkap adalah saran untuk penelitian lanjutan. Model serupa juga dapat diterapkan untuk meningkatkan efisiensi pemasaran berbasis data di berbagai industri bisnis lain.
Co-Authors Aditya, Dede Agita, Prissilia Ahmad Rifai Ajiz, Abul Al Lutfani, Thariq Kemal Aldiani, Dea Amalia, Dita Rizki Anawar, Saeful Apriliansyah, Rizal Dwi Rizki Aprilyani, Wiwin Arianto , Adji Arumsari, Rahayu Astuti , Rini Aulia Putri, Adinda Ayu Febriaan Lesmana, Alfira Danar Dana, Raditya Dita, Fio Eka Permana, Sandy Erpian, Soni Fajar, Achmad Faujia, Agnes Gifthera Dwilestari Gita Lestari, Astri Gunawan, Sepriyan Haekal Susanto, Ahmad Hasan, Fujiyanto Hayati, Umi Herdiana, Ruli Herdiana, Rulli Hery Widijanto Jayawarsa, A.A. Ketut Kaslani Lestari, Ratih Luthfi, Achmad Maulana, Andrian Muhaimin, Ahmad Narasati, Riri Narasati Nugraha, Syahrul Oktaviani Putri, Farra OKTAVIANI, ERNA Pratama, Denni Pratama, Hilda Fidyah Hadi Pratama, Radi Prihartono, Willy Putra, Arya Kamandanu Raditya Danar Dana Rai Fatkaozi, Ahmad Rifqi Aqila, Mochammad Rini Astuti Rizky Maulana, Rizky Rudi Kurniawan Saeful Anwar, Saeful Sri Nurmala, Ai Susana, Heliyanti Syafiq, Mohammad Sayyid Tohidi, Edi Wahyudin, Edi Yudhistira Arie Wijaya