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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi INTEGER: Journal of Information Technology Network Engineering Research Operation [NERO] Zeta - Math Journal JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Nasional Teknologi Terapan KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rinci Kembang Hapsari
Institut Teknologi Adhi Tama Surabaya
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mathematics Other

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Rancang Bangun Sistem Produksi dan Persediaan UMKM Rinci Kembang Hapsari; Azmuri Wahyu Azinar; Sugiyanto Sugiyanto
Jurnal Nasional Teknologi Terapan (JNTT) Vol 2, No 1 (2018): MEI
Publisher : Penelitian dan Pengabdian Kepada Masyarakat Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.313 KB) | DOI: 10.22146/jntt.39171

Abstract

The large contribution of MSMEs is as a driver of the nation's economy which is proven to be resistant to various shocks to the economic crisis. In operational records, MSMEs still use manual systems and there are even those that are not recorded properly. Even in the production process that functions to determine the cost of production and production control also still using manual methods. So that a computerized system is needed in the production process that can automatically calculate the cost of production, control the production and inventory stock. Based on testing and analysis, it can be proven that the applications built are very helpful to MSMEs, especially in the production process because data processing can be done quickly and accurately. With the computerized application system produced, it can monitor production results and control stock items.So that it can minimize the accumulation of goods stock production and the occurrence of empty stock for a long time. With this application system can also help MSMEs in determining the cost of production automatically.
Pemanfaatan Teknologi Informasi Sebagai Media Pembelajaran di Taman Pendidikan Al-Quran Maftahatul Hakimah; Tukadi Tukadi; Rinci Kembang Hapsari; Hendro Nugroho; Dian Puspita Hapsari
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 3, No 2 (2019)
Publisher : LPPM ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2019.v3i2.559

Abstract

Perkembangan teknologi informasi saat ini memberikan kemudahan akses disegala bidang sekalipun pendidikan non formal seperti TPQ. Cara belajar yang menyenangkan menjadi tuntutan bagi para guru TPQ termasuk di TPQ Al-Fadlol agar para santri bisa memahami materi agama sehingga bisa diterapkan dalam rutinitas keseharian. Materi ibadah sehari-hari yang diajarkan di TPQ Al-Fadlol ini adalah doa sehari-hari, tuntunan shalat dan cerita islami. Kegiatan Pengabdian Kepada Masyarakat yang dilakukan ini adalah menyajikan materi utama di TPQ Al-Fadlol dalam sebuah aplikasi yang diberi nama Muslim Daily Prayer sebagai media pembelajaran. Dengan aplikasi ini, para santri dan para guru bisa menciptakan suasana belajar yang tidak membosankan sehingga para santri lebih bersemangat belajar agama. Selain itu, sosialisasi terhadap pengaruh positif dan negatif dari adanya teknologi informasi ini diberikan untuk membekali para santri dan para guru agar lebih bijak dalam menggunakannya.
Implementasi Metode Filter Gabor Pada Ekstraksi Fitur Image Wajah Gutierres, Ego Prasetyo Ho; Hapsari, Rinci Kembang
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2024: SNESTIK IV
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2024.5832

Abstract

Setiap wajak seseorang memiliki ciri khusus. Dalam pemrosesan image, perbedaan ciri image dapat diketahui dengan menggali ekstraksi fitur dari image tersebut. Dalam penelitian ini melakukan ekstraksi fitur dengan menggunakan metode Filter Gabor. Metode Filter Gabor menghasilkan ukuran data yang lebih kecil namun tidak mengurangi ciri dari image wajah tersebut. Metode filter gabor dikenal sebagai detektor ciri yang sukses serta memiliki kemampuan mengeliminasi parameter variabilitas wajah yang pada metode lainnya sering menggangggu dalam proses pengenalan wajah. Data terdiri image wajah yang diambil dengan kamera Handphone IPHONE X. Data image disimpan dengan munggukan format jpg. Proses yang dilakukan sebelum image wajah diekstraksi ciri meliputi deteksi dan cropping bagian wajah, proses grayscaling, resize, dan proses filter gabor sehingga menghasilkan image yang siap diekstraksi cirinya. Berdasarkan hasil semua image dalam dataset bisa dicari nalai Ekstraksi Fitur dengan metode Filter Gabor dengan Ciri Staristik Ordo ke Dua dengan parameternya adalah Max Prabability, Energy dan Entropy.
Journal Article Plagiarism Detection using Latent Semantic Analysis (LSA) Navaro, Kamal Fauzan; Wardana, Septiyawan Rosetya; Hapsari, Rinci Kembang
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2023: Transformasi Riset, Inovasi dan Kreativitas Menuju Smart Technology dan Smart Energy
Publisher : Institut Teknologi Adhi Tama Surabaya

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

Abstract

Nowadays, plagiarism is no longer strange for university students, especially students. The problem faced is minimizing the occurrence of plagiarism among students, which continues to increase daily. Apart from that, plagiarism also violates academic ethics and can reduce student competence. Apart from that, plagiarism is included in stealing other people's written work. Therefore, plagiarism must be stopped immediately. One solution to this problem is to create an application that can detect document plagiarism effectively and efficiently. This application is expected to reduce the occurrence of plagiarism by detecting similarities in documents, one of which is a journal. This plagiarism detection application was built using the Latent Semantic Analysis (LSA) method. Based on the description above, a Document Similarity Analysis for Journal Plagiarism Detection Using Web-Based LSA was created. System testing was carried out to measure the performance of the Latent Semantic Analysis (LSA) method used in the system on 200 training data and 20 testing data, resulting in an average accuracy percentage of 87.88%. The percentage of accuracy obtained is quite large, so the system created is quite good.
Penerapan Algoritma DBSCAN Untuk Clustering Penjualan di Supermarket Hapsari, Rinci Kembang; Audrey, Talitha Naifa; Widodo, Muhammad Amiruddin; Islamiyah, Mitha
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.83-89

Abstract

Supermarkets are shopping places that provide various daily necessities. Many customers visit supermarkets to buy necessities. The growth of supermarkets is increasing. Supermarkets have a variety of products with different brands, branches, and types of customers. To create a sales strategy, need to know the products that customers are interested in. In this research, supermarket product clustering was carried out based on sales data. The clustering algorithm used in this research is the DBSCAN algorithm. This algorithm is an algorithm for grouping data objects based on density, which is influenced by input parameters, namely the Eps and MinPts values. The data used in this research is secondary data consisting of 100 supermarket sales data, taking 2 attributes. The clustering results show that using the Eps parameter value = 6 and the MinPts value = 9, the product data is divided into 3 clusters, namely cluster 1 of products that are not in demand, cluster 2 of products that are in demand and cluster 3 of very popular products.
Rancang Bangun Sistem Informasi Management Inventory Web dengan Model Personal Extreme Programming Limanjaya, Rafi Oktaviano Eka; Hapsari, Rinci Kembang
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2024: Menjembatani Energi Berkelanjutan dan Ekonomi Hijau melalui Transformasi Riset dan Teknologi T
Publisher : Institut Teknologi Adhi Tama Surabaya

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

Abstract

Pada era modern ini teknologi telah berkembang sangat pesat, apalagi telah memasuki era industri 4.0. Dimana industri telah memiliki hubungan dengan internet. Teknologi informasi menjadi salah satu komponen penting dalam meringankan kegiatan operasional pada pekerjaan divisi gudang. Dalam pengelolaan data di gudang, kemudahan dalam mencari data dan proses keluar-masuk barang juga menjadi faktor penting. Namun, proses pencarian data dan pendataan barang masih oleh karena itu pekerjaan tidak efektif, efisien dan sering terjadi pada pengelolaan gudang. Oleh karena itu, dibutuhkan sebuah sistem yang dapat mempermudah para divisi gudang dalam proses manajemen gudang. Pada pembuatan sistem informasi manajemen gudang akan menggunakan model Personal Extreme Programming. Pada Personal Extreme Programming tahapan akan dipecah menjadi bagian requirements, planning, iteration initialization, design, implemention, system testing dan bagian retrospective. Setiap proses dijalankan sesuai urutan model. Berdasarkan hasil pengukuran kualiatas produk software yang mengaju pada kriteria dii ISO 9126 dengan 35 responden, didapatkan nilai kualitas setiap krteria yaitu :  79,31%, untuk nilai kriteria functionality, 76,56% untuk nilai kriteria usability, 78,85% untuk nilai kriteria efficiencya dan 76,28% untuk nilai kriteria reliability. Berdasarkan penilaian keempat kriteria didapatkan nilai kualitas keseluruhan aplikasi adalah  77,71%, sehingga sistem informasi manajemen gudang yang dihasilkan termasuk dalam kategori baik.
Penentuan Destinasi Wisata Favorit di Yogyakarta dengan Menggunakan Algoritma Decision Tree Wijaya, Abdul Hamid; Vandaningtyas, Andriany; Hapsari, Rinci Kembang
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 4, No 2 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2023.v4i2.7473

Abstract

Menjalani kehidupan tidak dapat dipisahkan dari kegiatan berwisata. Melalui berwisata, seseorang memiliki kesempatan untuk merasakan suasana baru dan menikmati kesenangan yang mungkin belum pernah dia alami selama menjalani rutinitas sehari-hari maka kegiatan berwisata menjadi suatu elemen penting dalam kehidupan Masyarakat. Dengan tersebarnya berbagai destinasi wisata di Indonesia maka perlu peran nyata untuk mengoptimalkan  pelayanan pengelola wisata dari  segi pelayanan  maupun  fasilitas. Yogyakarta menjadi salah satu pilihan wisatawan dari seluruh penjuru Indonesia umumnya atau pulau jawa khusunya tujuan wisata favorit di Indonesia. Berbagai wisata terdapat di Yogyakarta yaitu wisata budaya, wisata alam, wisata kuliner dan tempat berbelanja. Penelitian ini bertujuan untuk menentukan Destinasi Wisata Favorit di Yogyakarta menggunakan Algoritma Decision Tree. Data yang digunakan merupakan dataset destinasi wisata yang merupakan data sekunder yang diunduh dari Kaggle.com. Berdasarkan model yang telah dihasilkan den diujikan pada data pengujian didapatkan nilai rata-rata akurasi 93,66%, nilai rata-rata presisi 96,89% dan nilai rata-rata sensitivitas atau recall 76,84%.
Rancang Bangun Aplikasi E-Learning Berbasis Multiplatform untuk Mata Pelajaran Bahasa Indonesia dengan Menggunakan Pendekatan Technology Acceptance Model (TAM) Titus Kristanto; Rinci Kembang Hapsari; Vinda Setia Nita; Siti Maimunah
Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 3 (2015): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v1i3.598

Abstract

Indonesian Language Lessons for 2nd grader of Elementary School with Standard of Competency 4 is the subject to discuss writing of short story with the correct words, capital words usage and the usage of correct full stop marker in the upright continued writing letters. The multiplatform application design is to seek solutions to problem learning method less attractive. This applications are operated in three operating systems, Windows, Android, and Ubuntu. This research employes approach of Technology Acceptance Model (TAM) by involving teachers and 2nd graders from Medalem II Public Elementary School in Tuban and Bangah 1 Public Elementary School in Sidoarjo. The data in research were colleted using questionnaires. In addition to using questionnaires, tests were conducted by giving Pre-Test and Post-Test that was, aimed at determininge the differences between the values obtained from the students before and after using the application. Keywords — E-Learning, Indonesian Language Lessons, Technology Acceptance Model
Implementation of the K-Means Method for Beverage Clustering Based on Calorie and Protein Rewina, Anggita Eka; Hapsari, Rinci Kembang; Putri, Chatarina Natassya; Lande, Gamaliel Virani Fofid; Aditya, Andre Fransisco; Alamsyah, Mochamad Tegar Bagas
Zeta - Math Journal Vol 10 No 1 (2025): May
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2025.10.1.19-29

Abstract

Recently, the number of coffee shops in big cities in Indonesia has increased. This makes it easier for coffee lovers to enjoy it. With the increasing public awareness of the importance of healthy drinking patterns in preventing diabetes and other diseases, consuming low-calorie drinks has become a prominent trend. This study aims to group the coffee drink menu at Starbucks based on the calorie and protein content of Starbucks drinks. It is grouped into 2 clusters, namely, high and low clusters. In this study, the clustering process of Starbucks drink menu data was carried out by applying the K-Means algorithm. The clustering results can identify members of Cluster 1 and members of Cluster 2. From the tests that have been carried out, it can group the drink menu into 2 clusters based on the amount of protein and calories from Starbucks drinks and help the public choose which drinks are better to consume.
Klasifikasi Cuaca Kota Bandung dengan Menggunakan Algoritma K-Nearest Neighbors Irmayanti, Sivana Amelia; Mahatma, Adhitya Arie; Adi, Danu Septi; Aji, Rega Wahyu; Hapsari, Rinci Kembang; Ubaidillah, M Ravi
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7622

Abstract

Indonesia is one of the countries that often experiences abnormal weather cycles. Extreme weather occurs due to several factors, such as unusual atmosphere. Weather prediction is very important in helping people anticipate various possibilities caused by extreme weather changes. This study aims to classify the weather in Bandung using the K-Nearest Neighbor algorithm. The K-Nearest Neighbor algorithm was chosen because of its ty to handle data with not too many variables and its implementation in weather classification cases. The dataset is secondary data taken from kaggle.com. Testing was conducted with k = 30, k = 50 and k = 70. With the highest accuracy, precision, and recall values at k = 50.
Co-Authors Adi, Danu Septi Aditya, Andre Fransisco Aji, Rega Wahyu Alamsyah, Mochamad Tegar Bagas Arma Adzhana Mahran Audrey, Talitha Naifa Azmuri Wahyu Azinar Chanafi, Moch Irfan Dian Puspita Hapsari Fikry, Muhamad Agus Gutierres, Ego Prasetyo Ho H, Luky Agus Hadad, Heksa Bustomi Hakim, Permana Faddyahsari Hendro Nugroho Hendro Nugroho Hendro Nugroho, Hendro Irmayanti, Sivana Amelia Islamiyah, Mitha Lande, Gamaliel Virani Fofid Limanjaya, Rafi Oktaviano Eka Luky Agus Hermanto Luky Agus Hermanto, Luky Agus Maftahatul Hakimah Maftahatul Hakimah, Maftahatul Mahatma, Adhitya Arie Navaro, Kamal Fauzan NUR SULAIMAN Nur Sulaiman Putri, Chatarina Natassya Rewina, Anggita Eka Siti Maimunah Siti Maimunah Sugiyanto - Sugiyanto Sugiyanto Sugiyanto Sugiyanto Sugiyanto, Sugiyanto Titus Kristanto Tukadi Tukadi, Tukadi Tutuk Indriyani Ubaidillah, M Ravi Vandaningtyas, Andriany Vinda Setia Nita Vinda Setia Nita, Vinda Setia Wardana, Septiyawan Rosetya Wardhana, Septiyawan Rosetya Widodo, Muhammad Amiruddin Wijaya, Abdul Hamid