Garuda - Garba Rujukan Digital

Analisis Kepuasan Pengguna Media Sosial Pembelian Produk Tukukebaya.Id Dengan Metode UTAUT Aji, Ananda Wahyu; Yunita, Ika Romadoni; Setyaningsih, Gustin; Prasetyo, Muhamad Awiet Wiedanto
DoubleClick: Journal of Computer and Information Technology Vol 8, No 1 (2024): Edisi Agustus 2024
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/doubleclick.v8i1.15767

Tukukebaya.id menggunakan WhatsApp untuk melakukan operasional komersial, termasuk pemesanan produk, yang dapat dilakukan menggunakan nomor Whatsapp yang disebutkan dalam biografi Instagram publik. Ia juga memanfaatkan media sosial seperti Instagram untuk mempromosikan layanannya. Namun seiring berjalannya waktu, jumlah konsumen selalu bertambah sehingga menimbulkan permasalahan seperti pesanan yang tidak terbaca dan kesalahan dalam ringkasan pesanan. Hal ini disebabkan sistem pesan masuk WhatsApp terus-menerus diubah sehingga menyebabkan pesan-pesan lama digantikan dengan pesan-pesan baru sehingga meninggalkan pesanan pelanggan yang belum terbaca. Penelitian ini bertujuan untuk menganalisis variabel-variabel yang mempengaruhi tingkat kepuasan pengguna media sosial di Tukukebaya.id berdasarkan isu yang ada saat ini. Teknik UTAUT digunakan dalam penelitian ini, dan mencakup enam faktor yang diuji: ekspektasi kinerja, ekspektasi upaya, pengaruh sosial, kondisi yang memfasilitasi, niat berperilaku, dan perilaku penggunaan. Temuan penelitian ini menunjukkan bahwa terdapat empat hipotesis—hipotesis ketiga, hipotesis keempat, hipotesis keenam, dan hipotesis ketujuh—yang berkorelasi. uji validitas dan reliabilitas seluruh variabel yang telah dievaluasi nilainya valid dan reliabel telah selesai.

Optimization of Perfume Sales through Data Mining with K-Means Algorithm Rahayu, Mia Setya; Yunita, Ika Romadoni; Widiawati, Chyntia Raras Ajeng
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7922

This time the research used the abc Parfume shop as the research site. This store offers various types of perfumes with different variants because, there are many variants so that not all perfumes sell quickly and some even do not sell at all. To recap sales and expenses in abc stores is still done manually so that it often causes mistakes in increasing stock and hinders the development of marketing strategies. The data that has been collected should be used as a decision-making system to solve business problems. For this reason, the author conducts data mining calculations that are carried out automatically in the hope of providing effective and maximum results in analyzing perfume sales at abc perfume stores. The application of Data Mining in collaboration with the K-Means Algorithm has proven to provide the best analysis and be a solution in developing the perfume business. The results of this study divided the clustering into three clusters for the final result there were nine cluster projects with nine products, cluster two with three products, and cluster three or the last cluster with thirteen products from a total of twenty-five data collected. The results of each cluster are grouped such as Cluster One which is the best seller, Cluster two is grouped to the middle position because sales are stable, while products in Cluster Cluster three are less in demand. This research was successfully conducted and contributed to a deeper understanding of the K-Means algorithm.

Pemanfaatan Game Edukasi untuk Meningkatkan Kemampuan Literasi Peserta Didik SD N 2 Ponjen Yunita, Ika Romadoni; Hikma Rosalia, Shafni Nur; Utriani, Tiya
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 4, No 4 (2024): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v4i3.492

Reading literacy skills are really needed by students along with the rapid development of information and technology. Improving elementary school students' literacy is very important because literacy is a basic skill needed to succeed in education and everyday life. The literacy problem of elementary school students in Purbalingga is caused by various factors, including students who are less motivated to read and write, so they face difficulties in improving their literacy skills, in addition to being caused by a lack of interest in the available reading materials. Educational games (Educational Games) can be an effective tool for improving elementary school students' literacy skills. Educational games can provide various benefits in developing literacy skills. The solution that will be implemented to solve partner problems is carrying out learning activities by utilizing educational games (Educational Games) to improve the literacy skills of students at SD Negeri 2 Ponjen. As a result of this activity, participants had high enthusiasm, apart from that it had increased literacy through educational games. This activity succeeded in increasing participants' interest in reading and writing skills

Sosialisasi Hak dan Kewajiban ORMAWA di Lingkungan Universitas Amikom Purwokerto Setyaningsih, Gustin; Yunita, Ika Romadoni; Setiawan, Ito
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 4, No 4 (2024): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v4i4.510

UKM and HMPS will reorganize or change management every year. Every administrator is obliged to know ORMAWA's rights and obligations, but in reality there are still many who do not understand. This is very visible in the work programs of the same SMEs continuously from year to year. Lack of time during the management period will have many impacts, one of which is that many administrators do not know the rights and obligations of UKM and HMPS. The campus disburses a budget of hundreds of millions of rupiah each year to UKM and HMPS to help the campus achieve the organization's vision and mission, but the results need to be evaluated. There are several ORMAWA who actually question campus policies in the wrong way. The aim of this socialization is to provide understanding to UKM and HMPS administrators about their rights and obligations. The methods used are lectures and discussions. The result of this socialization is increased understanding of UKM and HMPS administrators regarding their rights and obligations as ORMAWA administrators

OPTIMISASI SISTEM DETEKSI PHISHING BERBASIS WEB MENGGUNAKAN ALGORITMA DECISION TREE Fatiha, Muhammad Reza; Setiawan, Ito; Ikhsan, Ali Nur; Yunita, Ika Romadoni
Jurnal Ilmiah IT CIDA Vol 10 No 2: Desember 2024
Publisher : STMIK AMIKOM Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55635/jic.v10i2.212

Perkembangan teknologi informasi memudahkan berbagai aspek kehidupan, namun juga menghadirkan tantangan, seperti ancaman phishing. Phishing adalah serangan siber yang mengecoh pengguna untuk memberikan informasi sensitif, sering melalui email palsu atau situs web yang tampak resmi. Dampaknya luas, mencakup sektor perbankan, e-commerce, dan layanan pemerintah. Serangan ini terus berkembang dengan teknik yang semakin canggih, seperti penggunaan domain mirip dan social engineering, sehingga deteksi yang akurat menjadi kebutuhan mendesak. Penelitian ini mengembangkan sistem deteksi phishing berbasis web menggunakan algoritma Decision Tree dan metode Rapid Application Development (RAD). Dataset publik berisi 11.055 data dengan 26 atribut digunakan. Data diproses melalui penghapusan duplikasi, penanganan nilai hilang, dan normalisasi. Setelah dibagi menjadi 80% data pelatihan dan 20% data pengujian, model Decision Tree dibangun dan diuji menggunakan k-fold cross-validation. Model mencapai akurasi 95,07% dalam mendeteksi phishing. Metode RAD mendukung pengembangan sistem yang cepat dan efisien. Hasil ini diharapkan membantu individu dan perusahaan melindungi data dari serangan phishing. Penelitian mendatang dapat mengeksplorasi algoritma lain seperti Random Forest dan mengintegrasikan fitur real-time monitoring untuk meningkatkan perlindungan.

Optimization of Perfume Sales through Data Mining with K-Means Algorithm Rahayu, Mia Setya; Yunita, Ika Romadoni; Widiawati, Chyntia Raras Ajeng
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7922

This time the research used the abc Parfume shop as the research site. This store offers various types of perfumes with different variants because, there are many variants so that not all perfumes sell quickly and some even do not sell at all. To recap sales and expenses in abc stores is still done manually so that it often causes mistakes in increasing stock and hinders the development of marketing strategies. The data that has been collected should be used as a decision-making system to solve business problems. For this reason, the author conducts data mining calculations that are carried out automatically in the hope of providing effective and maximum results in analyzing perfume sales at abc perfume stores. The application of Data Mining in collaboration with the K-Means Algorithm has proven to provide the best analysis and be a solution in developing the perfume business. The results of this study divided the clustering into three clusters for the final result there were nine cluster projects with nine products, cluster two with three products, and cluster three or the last cluster with thirteen products from a total of twenty-five data collected. The results of each cluster are grouped such as Cluster One which is the best seller, Cluster two is grouped to the middle position because sales are stable, while products in Cluster Cluster three are less in demand. This research was successfully conducted and contributed to a deeper understanding of the K-Means algorithm.

Sistem Informasi Administrasi (Si Admin) Unit Kegiatan Mahasiswa (UKM) Menggunakan Metode Extreme Programming Yunita, Ika Romadoni; Farikhatun, Nofi; Ismiyati, Ragilah; Setiawan, Ito
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.44842

Students organizations (UKM) in data administration still uses Google forms and manuals by coming directly to the student affairs room to submit proposals and activity reports. This has an impact on the administration process taking a long time, high error rates, and less effective work. Data that is difficult to combine from forms and manually. Student Affairs also wants all UKM data administration to be system-based so that the data search process is easier and integrated with each other. Therefore, all data administration systems are needed for SMEs so that the problems that have occurred so far can be resolved. The aim of creating an administrative information system (SI ADMIN) is to make it easier for UKM administrators to carry out activities and carry out work programs that have been created. This system will later be integrated with the main student affairs website, which includes several sections such as alumni study tracer, graduate user tracer, job vacancy information and others. The stages in working on SI ADMIN use the extrame programming method. An administrative information system has been successfully created so that existing problems regarding SME administrative management have been successfully resolved. This system has also been tested directly by UKM and student affairs as admin. Based on the tests carried out, it can be concluded that the scenarios tested are in accordance with the expected results.

INFORMATION SYSTEM FOR REPORTING, PREVENTION, AND HANDLING OF SEXUAL VIOLENCE AMONG STUDENTS Setiawan, Ito; Yunita, Ika Romadoni; Maulida, Farah Mei; Serli, Serli
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 2 (2025): Maret 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3559

Abstract: The PPKS task force at Universitas Amikom Purwokerto has been established and is actively implementing various programs. However, complaints regarding cases of sexual violence are currently managed through WhatsApp, with limited guidance on the complaint procedures. As a result, many students are unaware of the PPKS task force or how to report incidents, creating obstacles for both the task force in identifying cases and for students seeking to file complaints. This study aims to provide students with an effective and accessible way to report incidents of sexual violence on campus. To develop the complaint information system, the Scrum methodology was used, involving team collaboration to easily adapt to changes throughout the development process. The resulting complaint information system for the prevention and handling of sexual violence has been successfully implemented and tested with students at Universitas Amikom Purwokerto. This system enables students to submit complaints seamlessly online. Testing results indicate that the system functions as intended and meets the expected outcomes. Keywords: information system; PPKS; complaint; student; scrum Abstrak: Satuan tugas PPKS Universitas Amikom Purwokerto sudah berjalan dan membuat program kerja, namun dalam proses pengaduan kasus kekerasaan seksual saat ini hanya menggunakan whatsapp dan kurangnya penjelasan tentang prosedur pengaduan yang ada. Banyak mahasiswa yang belum mengetahui adanya satgas PPKS di kampus dan cara pengaduan kasus. Hal tersebut menjadi kendala bagi satuan tugas PPKS dalam mengetahui kasus yang ada dan mahasiswa saat ingin melakukan pengaduan kasus. Oleh karena itu, dibutuhkan sebuah sarana yang efektif dan mudah diakses bagi mahasiswa untuk melakukan pengaduan kasus apabila mahasiswa mengetahui tentang adanya kekerasaan seksual di lingkungan kampus. Tujuan Penelitian adalah untuk membantu memudahkan mahasiswa dalam melakukan aduan tentang adanya kasus kekerasaan seksual di lingkungan Universitas Amikom Purwokerto. Metode dalam pengembangan sistem adalah metode Scrum. Metode Scrum melibatkan keseluruhan tim yang ada di organisasi. Dengan adanya keterlibatan ini maka mudah dalam mengantisipasi perubahan yang terjadi selama pengembangan sistem. Sistem informasi pengaduan pencegahan dan penanganan tindak kekerasan seksual berhasil di terapkan dan diujikan kepada Mahasiswa Universitas Amikom Purwokerto. Dengan adanya sistem informasi pengaduan ini mahasiswa dapat dengan mudah dalam membuat aduan berbasis sistem. berdasarkan daftar uji yang dilakukan terhadap sistem yang dibuat maka dapat disimpulkan bahwa skenario yang diujikan sesuai dengan hasil yang diharapan. Kata kunci: sistem informasi; PPKS; pengaduan; mahasiswa; scrum

Pendampingan Pembuatan Proposal PKM Berbasis Pedoman dan Cara Pengelolan Sistem Belmawa Setyaningsih, Gustin; Seno, Axel Sandi; Ramadhan, Rifqi Falih; Pribadi, Prayoga; Setiawan, Ito; Yunita, Ika Romadoni
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 3 (2025): Abdira, Juli
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i3.667

After observing the PKM proposal, there are still many proposals that do not comply with the writing guidelines such as attachments, bibliography, budget plans and basic things such as paper size, margins, fonts do not comply with the guidelines. From this case, it becomes one of the problems why very few proposals pass from Amikom Purwokerto University. The PKM proposal assessment consists of 2 stages. The first stage is administrative selection and the second stage is substance selection. Based on interviews with national PKM reviewers, almost 60% of all PKM proposals submitted failed at the administrative selection stage. In addition, in the process of uploading PKM proposals to the system, many students do not understand the stages of filling in the system. The purpose of this assistance is to reduce the error rate of PKM proposals made by students. The stages of implementing assistance include assistance in making proposals, assistance in managing the Simbelmawa system, evaluation and discussion. The results of the assistance are that many student proposals are in accordance with the 2025 PKM guidelines.

Enhancing Minority Class Prediction in Wearable Sensor-Based Activity Recognition Using SMOTE Oversampling Sarmini; Widiawati, Chyntia Raras Ajeng; Yunita, Ika Romadoni
International Journal for Applied Information Management Vol. 5 No. 1 (2025): Regular Issue: April 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i1.95

Wearable sensor-based activity recognition has become increasingly important in various domains, particularly healthcare and sports. However, a significant challenge in this field is the issue of class imbalance, where minority activity classes are underrepresented compared to majority classes in datasets. This imbalance leads to biased classifiers that struggle to accurately identify rare but critical activities, which is especially problematic in health monitoring scenarios. This study evaluates the effectiveness of the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance in the mHealth dataset, which contains multi-sensor data from wearable devices placed on the chest, left ankle, and right lower arm. We employ the XGBoost classifier combined with SMOTE oversampling to improve recognition performance for minority classes. Model evaluation is conducted using precision, recall, F1-score, Area Under the Precision-Recall Curve (AUC-PR), ROC curve, and calibration analysis. The results demonstrate that applying SMOTE improves minority class recall from 0.75 to 0.85 and F1-score from 0.796 to 0.865, despite a slight decrease in overall accuracy from 97% to 96.5%. The AUC-PR also increases from 0.81 to 0.88, indicating a better balance in detecting minority and majority classes. Calibration curves reveal that probability estimates still require refinement to be more reliable for decision-making. This study confirms the efficacy of SMOTE in mitigating class imbalance in wearable sensor-based activity recognition and provides valuable insights for developing more accurate and fair health monitoring systems.

Title

Found 17 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 17 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 17 Documents
Search